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Full Scoreboard »» |
Toronto Maple Leafs 35-16-11, 81pts · 1st in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 59 | 40 | 80 | 92 | 76 | 89 | 86 | 93 | 78 | 95 | 88 | 61 | 93 | 65 | 84 | 91 | 50 | 78 | 22 | 12,500,000$/7yrs | |||
![]() | 0 | C | 100.00 | 68 | 42 | 81 | 79 | 86 | 89 | 87 | 78 | 84 | 81 | 77 | 80 | 79 | 75 | 78 | 72 | 50 | 75 | 26 | 4,333,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 55 | 38 | 85 | 83 | 66 | 87 | 88 | 82 | 51 | 93 | 85 | 57 | 84 | 77 | 73 | 36 | 50 | 74 | 27 | 11,642,857$/7yrs | |||
![]() | 0 | C | 100.00 | 63 | 42 | 81 | 78 | 86 | 85 | 87 | 76 | 84 | 77 | 80 | 75 | 79 | 77 | 74 | 63 | 50 | 73 | 27 | 6,000,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 84 | 48 | 66 | 80 | 87 | 83 | 82 | 77 | 65 | 74 | 80 | 62 | 78 | 77 | 74 | 67 | 50 | 72 | 28 | 4,625,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 58 | 41 | 86 | 80 | 79 | 84 | 76 | 78 | 56 | 80 | 75 | 59 | 77 | 65 | 66 | 81 | 50 | 70 | 22 | 5,875,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 39 | 87 | 73 | 70 | 81 | 83 | 71 | 66 | 72 | 72 | 78 | 73 | 77 | 69 | 58 | 50 | 69 | 28 | 2,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 81 | 41 | 83 | 70 | 79 | 83 | 82 | 68 | 80 | 74 | 63 | 83 | 66 | 65 | 67 | 81 | 50 | 69 | 22 | 1,487,500$/2yrs | |||
![]() | 0 | LW | 100.00 | 67 | 40 | 87 | 81 | 60 | 83 | 89 | 77 | 53 | 76 | 73 | 58 | 79 | 65 | 67 | 76 | 50 | 69 | 21 | 894,167$/1yrs | |||
![]() | 0 | C | 100.00 | 80 | 41 | 85 | 67 | 80 | 77 | 84 | 65 | 74 | 66 | 64 | 86 | 63 | 69 | 66 | 76 | 50 | 68 | 24 | 1,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 72 | 44 | 88 | 70 | 83 | 73 | 83 | 68 | 53 | 62 | 76 | 59 | 72 | 65 | 67 | 84 | 50 | 66 | 22 | 894,166$/1yrs | |||
![]() | 0 | LW | 100.00 | 82 | 40 | 78 | 63 | 74 | 71 | 66 | 62 | 73 | 70 | 56 | 77 | 58 | 75 | 67 | 56 | 50 | 64 | 27 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 57 | 67 | 66 | 99 | 87 | 89 | 65 | 30 | 69 | 63 | 87 | 52 | 93 | 96 | 25 | 50 | 75 | 42 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 45 | 86 | 71 | 98 | 89 | 83 | 70 | 30 | 76 | 72 | 84 | 58 | 73 | 68 | 54 | 50 | 75 | 26 | 5,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 43 | 81 | 70 | 89 | 90 | 87 | 68 | 30 | 79 | 69 | 87 | 54 | 78 | 74 | 56 | 50 | 74 | 29 | 3,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 64 | 42 | 89 | 69 | 85 | 90 | 87 | 68 | 30 | 81 | 65 | 90 | 54 | 71 | 74 | 56 | 50 | 74 | 25 | 5,300,000$/6yrs | |||
![]() | 0 | D | 100.00 | 79 | 43 | 82 | 62 | 89 | 88 | 81 | 59 | 30 | 69 | 53 | 80 | 48 | 75 | 69 | 62 | 50 | 70 | 27 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 42 | 72 | 66 | 81 | 85 | 72 | 64 | 30 | 75 | 60 | 65 | 53 | 69 | 64 | 71 | 50 | 66 | 24 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 59 | 39 | 89 | 60 | 71 | 69 | 63 | 58 | 76 | 56 | 59 | 80 | 58 | 77 | 67 | 36 | 50 | 62 | 27 | 850,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 69 | 42 | 82 | 73 | 81 | 83 | 82 | 71 | 56 | 75 | 70 | 74 | 67 | 73 | 72 | 63 | 50 | 71 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 92 | 95 | 93 | 72 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 73 | 77 | 54 | 50 | 85 | 26 | 4,400,000$/2yrs |
![]() | 0 | 100.00 | 88 | 82 | 80 | 92 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 78 | 84 | 55 | 50 | 83 | 29 | 1,850,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 90 | 89 | 87 | 82 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 76 | 81 | 55 | 50 | 84 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 53 | 38 | 89 | 72 | 66 | 87 | 82 | 71 | 76 | 69 | 62 | 58 | 72 | 59 | 61 | 94 | 60 | 64 | 18 | 925,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 54 | 42 | 88 | 73 | 83 | 77 | 85 | 70 | 53 | 67 | 65 | 56 | 73 | 59 | 62 | 93 | 60 | 64 | 18 | 925,000$/3yrs | |||
![]() | 0 | C | 100.00 | 68 | 40 | 88 | 70 | 73 | 67 | 81 | 69 | 72 | 64 | 71 | 58 | 70 | 67 | 65 | 68 | 60 | 64 | 23 | 1,900,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 66 | 46 | 90 | 66 | 85 | 79 | 74 | 63 | 56 | 61 | 61 | 64 | 63 | 61 | 62 | 76 | 60 | 62 | 20 | 795,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 61 | 42 | 84 | 65 | 78 | 74 | 75 | 64 | 56 | 61 | 63 | 62 | 66 | 75 | 68 | 63 | 25 | 62 | 26 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 65 | 41 | 88 | 63 | 70 | 79 | 76 | 62 | 67 | 61 | 58 | 60 | 63 | 67 | 64 | 56 | 60 | 61 | 23 | 775,833$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 38 | 89 | 64 | 76 | 79 | 74 | 63 | 56 | 62 | 59 | 60 | 64 | 63 | 61 | 74 | 60 | 61 | 21 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 65 | 49 | 84 | 60 | 85 | 74 | 72 | 57 | 52 | 58 | 59 | 60 | 59 | 67 | 64 | 81 | 60 | 60 | 22 | 863,333$/1yrs | |||
![]() | 0 | LW | 100.00 | 82 | 44 | 73 | 63 | 78 | 64 | 72 | 61 | 58 | 54 | 64 | 56 | 62 | 71 | 68 | 64 | 25 | 60 | 25 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 61 | 42 | 89 | 61 | 76 | 81 | 79 | 59 | 53 | 58 | 58 | 60 | 59 | 65 | 66 | 83 | 60 | 60 | 22 | 863,333$/1yrs | |||
![]() | 0 | RW | 100.00 | 62 | 42 | 88 | 59 | 77 | 73 | 75 | 57 | 54 | 59 | 58 | 60 | 56 | 67 | 64 | 59 | 60 | 59 | 23 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 71 | 38 | 79 | 63 | 72 | 75 | 73 | 62 | 54 | 61 | 55 | 58 | 63 | 67 | 64 | 75 | 60 | 59 | 23 | 874,125$/1yrs | |||
![]() | 0 | LW | 100.00 | 57 | 39 | 82 | 63 | 65 | 75 | 78 | 62 | 56 | 64 | 58 | 57 | 63 | 67 | 64 | 52 | 60 | 59 | 23 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 56 | 38 | 84 | 58 | 67 | 81 | 72 | 56 | 63 | 59 | 58 | 57 | 56 | 69 | 64 | 53 | 60 | 58 | 23 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 57 | 80 | 57 | 90 | 86 | 87 | 56 | 30 | 54 | 52 | 58 | 45 | 69 | 75 | 68 | 60 | 63 | 24 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 58 | 74 | 63 | 72 | 85 | 87 | 61 | 30 | 65 | 56 | 57 | 48 | 75 | 68 | 63 | 25 | 62 | 26 | 700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 38 | 86 | 66 | 80 | 78 | 66 | 64 | 30 | 63 | 61 | 62 | 53 | 65 | 66 | 71 | 60 | 62 | 22 | 697,500$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 38 | 85 | 61 | 67 | 77 | 65 | 59 | 30 | 50 | 58 | 66 | 49 | 69 | 65 | 55 | 60 | 62 | 24 | 725,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 42 | 90 | 63 | 75 | 76 | 70 | 61 | 30 | 59 | 58 | 62 | 46 | 59 | 61 | 84 | 60 | 61 | 18 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 57 | 43 | 89 | 63 | 70 | 81 | 72 | 61 | 30 | 59 | 58 | 60 | 52 | 63 | 61 | 72 | 60 | 60 | 21 | 761,666$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 43 | 88 | 60 | 69 | 78 | 70 | 58 | 30 | 59 | 57 | 61 | 46 | 69 | 64 | 58 | 60 | 60 | 23 | 749,167$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 49 | 82 | 57 | 73 | 80 | 79 | 56 | 30 | 54 | 53 | 55 | 45 | 63 | 62 | 64 | 60 | 58 | 21 | 761,666$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Francois Beaulieu |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor McDavid | 0 | C | 62 | 21 | 30 | 51 | 3 | 28 | 0 | 62 | 195 | 69 | 125 | 10.77% | 16 | 18.20 | 9 | 18 | 27 | 216 | 0 | 0 | 0 | 20 | 4 | 3 | 49.74% | 1170 | 63 | 20 | 0 | 1 | 0.90 | 2 | 14 | ||
2 | Artemi Panarin | 0 | LW | 62 | 19 | 21 | 40 | 5 | 10 | 0 | 58 | 176 | 61 | 105 | 10.80% | 19 | 18.12 | 8 | 11 | 19 | 215 | 0 | 1 | 1 | 18 | 2 | 3 | 35.09% | 57 | 57 | 17 | 2 | 0 | 0.71 | 3 | 14 | ||
3 | Brock Nelson | 0 | C | 62 | 13 | 22 | 35 | 22 | 24 | 0 | 72 | 133 | 30 | 67 | 9.77% | 28 | 18.80 | 3 | 5 | 8 | 150 | 0 | 1 | 1 | 169 | 1 | 1 | 57.70% | 383 | 30 | 19 | 0 | 0 | 0.60 | 2 | 5 | ||
4 | Chris Kreider | 0 | LW/RW | 62 | 15 | 19 | 34 | 12 | 62 | 0 | 127 | 153 | 40 | 75 | 9.80% | 20 | 17.37 | 6 | 8 | 14 | 168 | 0 | 0 | 0 | 3 | 5 | 2 | 38.33% | 60 | 28 | 17 | 0 | 0 | 0.63 | 2 | 8 | ||
5 | Sean Couturier | 0 | C | 62 | 15 | 17 | 32 | -2 | 26 | 0 | 102 | 140 | 44 | 81 | 10.71% | 35 | 19.09 | 4 | 8 | 12 | 161 | 1 | 0 | 1 | 147 | 3 | 2 | 49.58% | 1069 | 29 | 26 | 1 | 0 | 0.54 | 3 | 12 | ||
6 | Alex DeBrincat | 0 | LW | 62 | 12 | 17 | 29 | -2 | 19 | 5 | 50 | 122 | 45 | 87 | 9.84% | 13 | 15.76 | 7 | 6 | 13 | 159 | 0 | 0 | 0 | 0 | 3 | 1 | 42.59% | 54 | 27 | 6 | 0 | 0 | 0.59 | 0 | 2 | ||
7 | Brock Boeser | 0 | RW | 62 | 9 | 17 | 26 | -5 | 18 | 0 | 62 | 113 | 33 | 84 | 7.96% | 26 | 16.82 | 4 | 4 | 8 | 198 | 0 | 0 | 0 | 0 | 5 | 0 | 38.64% | 44 | 33 | 13 | 0 | 0 | 0.50 | 1 | 1 | ||
8 | Colton Parayko | 0 | D | 62 | 5 | 16 | 21 | 0 | 30 | 0 | 123 | 80 | 33 | 36 | 6.25% | 98 | 27.63 | 5 | 7 | 12 | 234 | 0 | 0 | 0 | 114 | 0 | 0 | 0.00% | 0 | 34 | 68 | 0 | 0 | 0.25 | 0 | 0 | ||
9 | Mattias Ekholm | 0 | D | 62 | 3 | 17 | 20 | -1 | 44 | 0 | 76 | 70 | 25 | 26 | 4.29% | 63 | 24.97 | 2 | 5 | 7 | 230 | 0 | 0 | 0 | 102 | 1 | 0 | 0.00% | 0 | 19 | 54 | 0 | 0 | 0.26 | 0 | 0 | ||
10 | Joel Eriksson Ek | 0 | C | 62 | 9 | 10 | 19 | 8 | 18 | 0 | 77 | 155 | 35 | 91 | 5.81% | 18 | 15.00 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 97 | 2 | 2 | 53.32% | 602 | 29 | 17 | 0 | 0 | 0.41 | 0 | 0 | ||
11 | Jaccob Slavin | 0 | D | 62 | 2 | 17 | 19 | 11 | 12 | 0 | 42 | 56 | 22 | 29 | 3.57% | 62 | 21.81 | 1 | 3 | 4 | 146 | 0 | 2 | 2 | 178 | 0 | 0 | 0.00% | 0 | 18 | 44 | 0 | 0 | 0.28 | 0 | 0 | ||
12 | Calle Jarnkrok | 0 | C/LW/RW | 62 | 10 | 5 | 15 | 6 | 14 | 0 | 57 | 132 | 27 | 70 | 7.58% | 25 | 15.23 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 146 | 3 | 1 | 56.82% | 44 | 22 | 20 | 0 | 0 | 0.32 | 0 | 1 | ||
13 | Denis Gurianov | 0 | RW | 62 | 5 | 6 | 11 | 8 | 4 | 0 | 43 | 93 | 46 | 76 | 5.38% | 11 | 9.97 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 24 | 26 | 14 | 0 | 0 | 0.36 | 1 | 1 | ||
14 | Patrik Nemeth | 0 | D | 62 | 0 | 7 | 7 | 16 | 38 | 0 | 74 | 39 | 14 | 14 | 0.00% | 53 | 16.80 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 2 | 33 | 0 | 0 | 0.13 | 0 | 0 | ||
15 | Zdeno Chara | 0 | D | 62 | 0 | 5 | 5 | 6 | 48 | 0 | 72 | 49 | 17 | 18 | 0.00% | 61 | 17.56 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 164 | 0 | 0 | 0.00% | 0 | 9 | 40 | 0 | 0 | 0.09 | 0 | 0 | ||
16 | Jason Dickinson | 0 | C | 62 | 4 | 1 | 5 | 3 | 0 | 0 | 53 | 41 | 13 | 25 | 9.76% | 14 | 8.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0 | 0 | 51.03% | 194 | 2 | 13 | 0 | 0 | 0.19 | 0 | 0 | ||
17 | Jordan Martinook | 0 | LW | 62 | 1 | 3 | 4 | -1 | 30 | 0 | 82 | 59 | 15 | 40 | 1.69% | 13 | 13.02 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 57 | 1 | 0 | 40.91% | 44 | 7 | 17 | 0 | 0 | 0.10 | 0 | 0 | ||
18 | Madison Bowey | 0 | D | 62 | 1 | 0 | 1 | 5 | 20 | 0 | 47 | 20 | 5 | 14 | 5.00% | 40 | 13.27 | 1 | 0 | 1 | 104 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 1 | 18 | 0 | 0 | 0.02 | 0 | 0 | ||
Team Total or Average | 1116 | 144 | 230 | 374 | 94 | 445 | 5 | 1279 | 1826 | 574 | 1063 | 7.89% | 615 | 17.12 | 50 | 76 | 126 | 2037 | 1 | 4 | 5 | 1341 | 31 | 15 | 50.33% | 3745 | 436 | 456 | 3 | 1 | 0.39 | 14 | 58 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jordan Binnington | 47 | 27 | 11 | 9 | 0.934 | 1.83 | 2880 | 0 | 3 | 88 | 1337 | 602 | 1 | 0 | 0.690 | 42 | 47 | 15 | 6 | 6 | 5 | |
2 | Darcy Kuemper | 15 | 8 | 5 | 2 | 0.942 | 1.64 | 913 | 0 | 2 | 25 | 429 | 199 | 0 | 1 | 0.875 | 8 | 15 | 47 | 4 | 1 | 1 | |
Team Total or Average | 62 | 35 | 16 | 11 | 0.936 | 1.79 | 3793 | 0 | 5 | 113 | 1766 | 801 | 1 | 1 | 0.720 | 50 | 62 | 62 | 10 | 7 | 6 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 8 | 3 | 5 | 0.833 | 11 | 20 | 31 | 0 | 0 | 6 | 3 | 2 | 0 | 102 | 32 | 39 | 31 | 3 | 89 | 25 | 12 | 52 | 15 | 5 | 33.33% | 6 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 69 | 42 | 61 | 26 | 53 | 27 | 42.9% | 10.8% | 91.0% | 101.8 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 10 | 13 | 7 | 0 | 26 | 13 | 4 | 16 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 24 | 14 | 18 | 8 | 17 | 8 | 0.0% | 6.7% | 88.5% | 95.1 | Unlucky | |
3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 6 | 1.000 | 7 | 12 | 19 | 0 | 0 | 0 | 3 | 4 | 0 | 97 | 31 | 24 | 42 | 0 | 69 | 22 | 12 | 63 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 70 | 42 | 51 | 26 | 57 | 29 | 83.3% | 7.2% | 95.7% | 102.9 | DULL | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 1 | 0 | 2 | 2 | 0 | 50 | 12 | 17 | 21 | 0 | 53 | 31 | 8 | 34 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 41 | 23 | 41 | 18 | 36 | 18 | 60.0% | 8.0% | 94.3% | 102.3 | DULL | |
5 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 5 | 10 | 0 | 0 | 2 | 1 | 1 | 1 | 50 | 17 | 17 | 14 | 5 | 67 | 27 | 12 | 34 | 7 | 3 | 42.86% | 6 | 1 | 83.33% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 40 | 22 | 47 | 18 | 36 | 18 | 50.0% | 10.0% | 95.5% | 105.5 | LUCKY | |
6 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 9 | 15 | 0 | 0 | 1 | 1 | 3 | 1 | 84 | 30 | 29 | 25 | 3 | 81 | 21 | 26 | 49 | 15 | 5 | 33.33% | 13 | 4 | 69.23% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 67 | 40 | 65 | 28 | 51 | 25 | 20.0% | 7.1% | 90.1% | 97.3 | Unlucky | |
7 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 6 | 1 | 5 | 0.833 | 7 | 11 | 18 | 0 | 1 | 2 | 2 | 2 | 3 | 92 | 45 | 19 | 28 | 6 | 94 | 36 | 18 | 61 | 13 | 1 | 7.69% | 9 | 2 | 77.78% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 66 | 38 | 67 | 30 | 55 | 27 | 60.0% | 7.6% | 93.6% | 101.2 | DULL | |
8 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 65 | 27 | 23 | 15 | 3 | 64 | 22 | 12 | 34 | 3 | 2 | 66.67% | 6 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 27 | 45 | 19 | 36 | 17 | 25.0% | 6.2% | 90.6% | 96.8 | Unlucky | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 1 | 29 | 8 | 11 | 9 | 6 | 29 | 15 | 8 | 17 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 23 | 13 | 23 | 10 | 18 | 9 | 50.0% | 6.9% | 89.7% | 96.6 | Unlucky | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 62 | 14 | 25 | 23 | 0 | 62 | 17 | 16 | 35 | 9 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 42 | 24 | 42 | 18 | 34 | 17 | 62.5% | 8.1% | 93.5% | 101.6 | DULL | |
11 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 1 | 56 | 17 | 18 | 21 | 3 | 72 | 17 | 14 | 41 | 8 | 1 | 12.50% | 7 | 2 | 71.43% | 1 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 26 | 42 | 18 | 36 | 18 | 60.0% | 7.1% | 94.4% | 101.6 | DULL | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 27 | 6 | 15 | 6 | 0 | 29 | 11 | 2 | 20 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 20 | 11 | 21 | 9 | 18 | 9 | 66.7% | 14.8% | 96.6% | 111.4 | LUCKY | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 4 | 0 | 0 | 63 | 20 | 26 | 17 | 0 | 65 | 15 | 6 | 37 | 11 | 2 | 18.18% | 3 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 48 | 30 | 39 | 16 | 32 | 16 | 28.6% | 6.3% | 92.3% | 98.7 | DULL | |
14 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 3 | 5 | 6 | 1.000 | 8 | 12 | 20 | 0 | 0 | 4 | 2 | 1 | 1 | 88 | 36 | 20 | 30 | 6 | 87 | 36 | 20 | 57 | 14 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 67 | 37 | 61 | 27 | 55 | 29 | 72.7% | 9.1% | 96.6% | 105.6 | LUCKY | |
15 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 1 | 2 | 26 | 11 | 5 | 10 | 2 | 40 | 11 | 10 | 16 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 20 | 10 | 24 | 10 | 19 | 9 | 75.0% | 11.5% | 95.0% | 106.5 | LUCKY | |
16 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 4 | 3 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 2 | 3 | 2 | 0 | 46 | 14 | 14 | 16 | 5 | 51 | 15 | 18 | 31 | 10 | 3 | 30.00% | 9 | 2 | 77.78% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 41 | 22 | 43 | 21 | 39 | 18 | 66.7% | 15.2% | 92.2% | 107.4 | LUCKY | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 51 | 21 | 9 | 21 | 0 | 61 | 20 | 16 | 44 | 13 | 1 | 7.69% | 8 | 4 | 50.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 25 | 37 | 18 | 36 | 19 | 50.0% | 5.9% | 90.2% | 96.0 | Unlucky | |
18 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 9 | 0 | 6 | 0.750 | 9 | 14 | 23 | 0 | 0 | 2 | 3 | 3 | 1 | 131 | 38 | 39 | 48 | 6 | 104 | 30 | 30 | 80 | 15 | 2 | 13.33% | 15 | 4 | 73.33% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 90 | 53 | 82 | 36 | 70 | 34 | 58.3% | 6.9% | 91.3% | 98.2 | DULL | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 0 | 4 | 28 | 7 | 8 | 13 | 9 | 28 | 11 | 8 | 25 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 20 | 10 | 23 | 10 | 20 | 10 | 100.0% | 10.7% | 92.9% | 103.6 | LUCKY | |
20 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 3 | 4 | 5 | 0.833 | 7 | 11 | 18 | 0 | 1 | 0 | 4 | 3 | 0 | 93 | 31 | 33 | 29 | 0 | 60 | 21 | 12 | 71 | 10 | 2 | 20.00% | 6 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 70 | 41 | 55 | 26 | 54 | 28 | 62.5% | 7.5% | 95.0% | 102.5 | DULL | |
21 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 3 | 2 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 71 | 25 | 24 | 21 | 1 | 57 | 27 | 12 | 34 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 1 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 48 | 29 | 41 | 16 | 33 | 17 | 57.1% | 7.0% | 94.7% | 101.8 | DULL | |
22 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 4 | 3 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 4 | 2 | 1 | 0 | 64 | 27 | 14 | 23 | 0 | 54 | 22 | 17 | 46 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 26 | 40 | 17 | 34 | 17 | 62.5% | 10.9% | 92.6% | 103.5 | LUCKY | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 1 | 1 | 3 | 0 | 61 | 16 | 23 | 22 | 0 | 38 | 20 | 16 | 40 | 9 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 47 | 28 | 38 | 17 | 34 | 17 | 100.0% | 8.2% | 97.4% | 105.6 | DULL | |
24 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 87 | 29 | 21 | 37 | 0 | 96 | 26 | 24 | 51 | 12 | 2 | 16.67% | 12 | 5 | 58.33% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 63 | 37 | 66 | 26 | 49 | 24 | 75.0% | 5.7% | 93.8% | 99.5 | DULL | |
25 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 4 | 8 | 13 | 0 | 37 | 13 | 8 | 24 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 19 | 10 | 23 | 9 | 17 | 8 | 25.0% | 4.0% | 91.9% | 95.9 | DULL | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 35 | 15 | 9 | 11 | 0 | 63 | 21 | 20 | 39 | 8 | 1 | 12.50% | 10 | 2 | 80.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 40 | 21 | 43 | 19 | 36 | 16 | 0.0% | 2.9% | 88.9% | 91.7 | Unlucky | |
27 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 50 | 17 | 18 | 15 | 3 | 59 | 16 | 10 | 48 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 44 | 25 | 42 | 19 | 37 | 18 | 40.0% | 4.0% | 93.2% | 97.2 | DULL | |
28 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 0 | 1 | 22 | 8 | 8 | 5 | 1 | 26 | 9 | 6 | 16 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 20 | 11 | 21 | 8 | 18 | 8 | 75.0% | 13.6% | 92.3% | 105.9 | LUCKY | |
29 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 3 | 1 | 0 | 0 | 59 | 28 | 22 | 9 | 4 | 58 | 19 | 12 | 47 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 25 | 43 | 18 | 36 | 18 | 40.0% | 6.8% | 93.1% | 99.9 | DULL | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 6 | 11 | 0 | 1 | 0 | 3 | 2 | 0 | 60 | 12 | 26 | 22 | 0 | 48 | 17 | 8 | 35 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 27 | 38 | 18 | 35 | 18 | 75.0% | 8.3% | 97.9% | 106.3 | DULL | |
_Vs Division | 19 | 9 | 5 | 0 | 1 | 1 | 1 | 2 | 47 | 41 | 6 | 25 | 0.658 | 47 | 79 | 126 | 0 | 0 | 13 | 16 | 16 | 3 | 594 | 195 | 177 | 215 | 18 | 522 | 161 | 129 | 358 | 70 | 18 | 25.71% | 62 | 17 | 72.58% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 430 | 256 | 392 | 172 | 334 | 168 | 54.7% | 7.9% | 92.1% | 100.1 | DULL | |
_Vs Conference | 37 | 16 | 8 | 0 | 2 | 3 | 5 | 3 | 87 | 72 | 15 | 52 | 0.703 | 87 | 139 | 226 | 0 | 2 | 23 | 31 | 26 | 10 | 1101 | 389 | 325 | 374 | 40 | 1048 | 355 | 243 | 711 | 142 | 27 | 19.01% | 119 | 25 | 78.99% | 2 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 832 | 485 | 773 | 339 | 662 | 333 | 56.1% | 7.9% | 93.1% | 101.0 | DULL | |
_Since Last GM Reset | 62 | 26 | 16 | 0 | 2 | 4 | 7 | 7 | 143 | 121 | 22 | 81 | 0.653 | 143 | 225 | 368 | 1 | 5 | 34 | 55 | 45 | 16 | 1804 | 608 | 577 | 604 | 66 | 1767 | 606 | 397 | 1197 | 240 | 44 | 18.33% | 196 | 40 | 79.59% | 2 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 1386 | 805 | 1297 | 574 | 1116 | 559 | 55.0% | 7.9% | 93.2% | 101.1 | DULL | |
Total | 62 | 26 | 16 | 0 | 2 | 4 | 7 | 7 | 143 | 121 | 22 | 81 | 0.653 | 143 | 225 | 368 | 1 | 5 | 34 | 55 | 45 | 16 | 1804 | 608 | 577 | 604 | 66 | 1767 | 606 | 397 | 1197 | 240 | 44 | 18.33% | 196 | 40 | 79.59% | 2 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 1386 | 805 | 1297 | 574 | 1116 | 559 | 55.0% | 7.9% | 93.2% | 101.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1495 |
Neutral Zone Start | 788 |
Defensive Zone Start | 1432 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1867 |
Faceoffs Lost | 1848 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 19.1 | 20.31 |
3rd Period | 28.9 | 30.68 |
Overtime | 29.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 96 |
---|---|
PP Goal | 44 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 17 | 18 |
Lost | 9 | 7 |
Overtime Lost | 5 | 6 |
PP Attempt | 240 |
---|---|
PP Goal | 44 |
PK Attempt | 196 |
PK Goal Against | 40 |
Home | |
---|---|
Shots For | 29.1 |
Shots Against | 28.5 |
Goals For | 2.3 |
Goals Against | 2.0 |
Hits | 19.3 |
Shots Blocked | 9.8 |
Pim | 6.4 |
Projected Total Cap Hit | 81,401,690$ |
Projected Cap Space | 98,310$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 62,133,149$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Maple Leafs Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex DeBrincat ![]() | LW | 21 | 894,167$ | 894,167$ | |||||||
Artemi Panarin ![]() | LW | 27 | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | |
Brock Boeser ![]() | RW | 22 | 5,875,000$ | 5,875,000$ | 5,875,000$ | 5,875,000$ | |||||
Brock Nelson ![]() | C | 27 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||
Calle Jarnkrok ![]() | C/LW/RW | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Chris Kreider ![]() | LW/RW | 28 | 4,625,000$ | 4,625,000$ | |||||||
Colton Parayko ![]() | D | 26 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Connor McDavid ![]() | C | 22 | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | |
Darcy Kuemper ![]() | G | 29 | 1,850,000$ | 1,850,000$ | |||||||
Denis Gurianov ![]() | RW | 22 | 894,166$ | 894,166$ | |||||||
Jaccob Slavin ![]() | D | 25 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | ||
Jason Dickinson ![]() | C | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Joel Eriksson Ek ![]() | C | 22 | 1,487,500$ | 1,487,500$ | 1,487,500$ | ||||||
Jordan Binnington ![]() | G | 26 | 4,400,000$ | 4,400,000$ | 4,400,000$ | ||||||
Jordan Martinook ![]() | LW | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Madison Bowey ![]() | D | 24 | 1,000,000$ | 1,000,000$ | |||||||
Mattias Ekholm ![]() | D | 29 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | |||||
Par Lindholm ![]() | C | 27 | 850,000$ | 850,000$ | 850,000$ | ||||||
Patrik Nemeth ![]() | D | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Sean Couturier ![]() | C | 26 | 4,333,000$ | 4,333,000$ | 4,333,000$ | ||||||
Zdeno Chara ![]() | D | 42 | 2,000,000$ | 2,000,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 8 | 3 | 5 | 0.833 | 11 | 20 | 31 | 0 | 0 | 6 | 3 | 2 | 0 | 102 | 32 | 39 | 31 | 3 | 89 | 25 | 12 | 52 | 15 | 5 | 33.33% | 6 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 69 | 42 | 61 | 26 | 53 | 27 | 42.9% | 10.8% | 91.0% | 101.8 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 10 | 13 | 7 | 0 | 26 | 13 | 4 | 16 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 24 | 14 | 18 | 8 | 17 | 8 | 0.0% | 6.7% | 88.5% | 95.1 | Unlucky | |
3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 6 | 1.000 | 7 | 12 | 19 | 0 | 0 | 0 | 3 | 4 | 0 | 97 | 31 | 24 | 42 | 0 | 69 | 22 | 12 | 63 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 70 | 42 | 51 | 26 | 57 | 29 | 83.3% | 7.2% | 95.7% | 102.9 | DULL | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 1 | 0 | 2 | 2 | 0 | 50 | 12 | 17 | 21 | 0 | 53 | 31 | 8 | 34 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 41 | 23 | 41 | 18 | 36 | 18 | 60.0% | 8.0% | 94.3% | 102.3 | DULL | |
5 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 5 | 10 | 0 | 0 | 2 | 1 | 1 | 1 | 50 | 17 | 17 | 14 | 5 | 67 | 27 | 12 | 34 | 7 | 3 | 42.86% | 6 | 1 | 83.33% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 40 | 22 | 47 | 18 | 36 | 18 | 50.0% | 10.0% | 95.5% | 105.5 | LUCKY | |
6 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 9 | 15 | 0 | 0 | 1 | 1 | 3 | 1 | 84 | 30 | 29 | 25 | 3 | 81 | 21 | 26 | 49 | 15 | 5 | 33.33% | 13 | 4 | 69.23% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 67 | 40 | 65 | 28 | 51 | 25 | 20.0% | 7.1% | 90.1% | 97.3 | Unlucky | |
7 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 6 | 1 | 5 | 0.833 | 7 | 11 | 18 | 0 | 1 | 2 | 2 | 2 | 3 | 92 | 45 | 19 | 28 | 6 | 94 | 36 | 18 | 61 | 13 | 1 | 7.69% | 9 | 2 | 77.78% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 66 | 38 | 67 | 30 | 55 | 27 | 60.0% | 7.6% | 93.6% | 101.2 | DULL | |
8 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 65 | 27 | 23 | 15 | 3 | 64 | 22 | 12 | 34 | 3 | 2 | 66.67% | 6 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 27 | 45 | 19 | 36 | 17 | 25.0% | 6.2% | 90.6% | 96.8 | Unlucky | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 1 | 29 | 8 | 11 | 9 | 6 | 29 | 15 | 8 | 17 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 23 | 13 | 23 | 10 | 18 | 9 | 50.0% | 6.9% | 89.7% | 96.6 | Unlucky | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 62 | 14 | 25 | 23 | 0 | 62 | 17 | 16 | 35 | 9 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 42 | 24 | 42 | 18 | 34 | 17 | 62.5% | 8.1% | 93.5% | 101.6 | DULL | |
11 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 1 | 56 | 17 | 18 | 21 | 3 | 72 | 17 | 14 | 41 | 8 | 1 | 12.50% | 7 | 2 | 71.43% | 1 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 26 | 42 | 18 | 36 | 18 | 60.0% | 7.1% | 94.4% | 101.6 | DULL | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 27 | 6 | 15 | 6 | 0 | 29 | 11 | 2 | 20 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 20 | 11 | 21 | 9 | 18 | 9 | 66.7% | 14.8% | 96.6% | 111.4 | LUCKY | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 4 | 0 | 0 | 63 | 20 | 26 | 17 | 0 | 65 | 15 | 6 | 37 | 11 | 2 | 18.18% | 3 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 48 | 30 | 39 | 16 | 32 | 16 | 28.6% | 6.3% | 92.3% | 98.7 | DULL | |
14 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 3 | 5 | 6 | 1.000 | 8 | 12 | 20 | 0 | 0 | 4 | 2 | 1 | 1 | 88 | 36 | 20 | 30 | 6 | 87 | 36 | 20 | 57 | 14 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 67 | 37 | 61 | 27 | 55 | 29 | 72.7% | 9.1% | 96.6% | 105.6 | LUCKY | |
15 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 1 | 2 | 26 | 11 | 5 | 10 | 2 | 40 | 11 | 10 | 16 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 20 | 10 | 24 | 10 | 19 | 9 | 75.0% | 11.5% | 95.0% | 106.5 | LUCKY | |
16 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 4 | 3 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 2 | 3 | 2 | 0 | 46 | 14 | 14 | 16 | 5 | 51 | 15 | 18 | 31 | 10 | 3 | 30.00% | 9 | 2 | 77.78% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 41 | 22 | 43 | 21 | 39 | 18 | 66.7% | 15.2% | 92.2% | 107.4 | LUCKY | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 51 | 21 | 9 | 21 | 0 | 61 | 20 | 16 | 44 | 13 | 1 | 7.69% | 8 | 4 | 50.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 25 | 37 | 18 | 36 | 19 | 50.0% | 5.9% | 90.2% | 96.0 | Unlucky | |
18 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 9 | 0 | 6 | 0.750 | 9 | 14 | 23 | 0 | 0 | 2 | 3 | 3 | 1 | 131 | 38 | 39 | 48 | 6 | 104 | 30 | 30 | 80 | 15 | 2 | 13.33% | 15 | 4 | 73.33% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 90 | 53 | 82 | 36 | 70 | 34 | 58.3% | 6.9% | 91.3% | 98.2 | DULL | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 0 | 4 | 28 | 7 | 8 | 13 | 9 | 28 | 11 | 8 | 25 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 20 | 10 | 23 | 10 | 20 | 10 | 100.0% | 10.7% | 92.9% | 103.6 | LUCKY | |
20 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 3 | 4 | 5 | 0.833 | 7 | 11 | 18 | 0 | 1 | 0 | 4 | 3 | 0 | 93 | 31 | 33 | 29 | 0 | 60 | 21 | 12 | 71 | 10 | 2 | 20.00% | 6 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 70 | 41 | 55 | 26 | 54 | 28 | 62.5% | 7.5% | 95.0% | 102.5 | DULL | |
21 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 3 | 2 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 71 | 25 | 24 | 21 | 1 | 57 | 27 | 12 | 34 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 1 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 48 | 29 | 41 | 16 | 33 | 17 | 57.1% | 7.0% | 94.7% | 101.8 | DULL | |
22 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 4 | 3 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 4 | 2 | 1 | 0 | 64 | 27 | 14 | 23 | 0 | 54 | 22 | 17 | 46 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 26 | 40 | 17 | 34 | 17 | 62.5% | 10.9% | 92.6% | 103.5 | LUCKY | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 1 | 1 | 3 | 0 | 61 | 16 | 23 | 22 | 0 | 38 | 20 | 16 | 40 | 9 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 47 | 28 | 38 | 17 | 34 | 17 | 100.0% | 8.2% | 97.4% | 105.6 | DULL | |
24 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 87 | 29 | 21 | 37 | 0 | 96 | 26 | 24 | 51 | 12 | 2 | 16.67% | 12 | 5 | 58.33% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 63 | 37 | 66 | 26 | 49 | 24 | 75.0% | 5.7% | 93.8% | 99.5 | DULL | |
25 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 4 | 8 | 13 | 0 | 37 | 13 | 8 | 24 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 19 | 10 | 23 | 9 | 17 | 8 | 25.0% | 4.0% | 91.9% | 95.9 | DULL | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 35 | 15 | 9 | 11 | 0 | 63 | 21 | 20 | 39 | 8 | 1 | 12.50% | 10 | 2 | 80.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 40 | 21 | 43 | 19 | 36 | 16 | 0.0% | 2.9% | 88.9% | 91.7 | Unlucky | |
27 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 50 | 17 | 18 | 15 | 3 | 59 | 16 | 10 | 48 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 44 | 25 | 42 | 19 | 37 | 18 | 40.0% | 4.0% | 93.2% | 97.2 | DULL | |
28 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 0 | 1 | 22 | 8 | 8 | 5 | 1 | 26 | 9 | 6 | 16 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 20 | 11 | 21 | 8 | 18 | 8 | 75.0% | 13.6% | 92.3% | 105.9 | LUCKY | |
29 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 3 | 1 | 0 | 0 | 59 | 28 | 22 | 9 | 4 | 58 | 19 | 12 | 47 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 25 | 43 | 18 | 36 | 18 | 40.0% | 6.8% | 93.1% | 99.9 | DULL | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 6 | 11 | 0 | 1 | 0 | 3 | 2 | 0 | 60 | 12 | 26 | 22 | 0 | 48 | 17 | 8 | 35 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 45 | 27 | 38 | 18 | 35 | 18 | 75.0% | 8.3% | 97.9% | 106.3 | DULL | |
_Vs Division | 19 | 9 | 5 | 0 | 1 | 1 | 1 | 2 | 47 | 41 | 6 | 25 | 0.658 | 47 | 79 | 126 | 0 | 0 | 13 | 16 | 16 | 3 | 594 | 195 | 177 | 215 | 18 | 522 | 161 | 129 | 358 | 70 | 18 | 25.71% | 62 | 17 | 72.58% | 0 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 430 | 256 | 392 | 172 | 334 | 168 | 54.7% | 7.9% | 92.1% | 100.1 | DULL | |
_Vs Conference | 37 | 16 | 8 | 0 | 2 | 3 | 5 | 3 | 87 | 72 | 15 | 52 | 0.703 | 87 | 139 | 226 | 0 | 2 | 23 | 31 | 26 | 10 | 1101 | 389 | 325 | 374 | 40 | 1048 | 355 | 243 | 711 | 142 | 27 | 19.01% | 119 | 25 | 78.99% | 2 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 832 | 485 | 773 | 339 | 662 | 333 | 56.1% | 7.9% | 93.1% | 101.0 | DULL | |
_Since Last GM Reset | 62 | 26 | 16 | 0 | 2 | 4 | 7 | 7 | 143 | 121 | 22 | 81 | 0.653 | 143 | 225 | 368 | 1 | 5 | 34 | 55 | 45 | 16 | 1804 | 608 | 577 | 604 | 66 | 1767 | 606 | 397 | 1197 | 240 | 44 | 18.33% | 196 | 40 | 79.59% | 2 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 1386 | 805 | 1297 | 574 | 1116 | 559 | 55.0% | 7.9% | 93.2% | 101.1 | DULL | |
Total | 62 | 26 | 16 | 0 | 2 | 4 | 7 | 7 | 143 | 121 | 22 | 81 | 0.653 | 143 | 225 | 368 | 1 | 5 | 34 | 55 | 45 | 16 | 1804 | 608 | 577 | 604 | 66 | 1767 | 606 | 397 | 1197 | 240 | 44 | 18.33% | 196 | 40 | 79.59% | 2 | 764 | 1495 | 51.10% | 738 | 1432 | 51.54% | 365 | 788 | 46.32% | 1386 | 805 | 1297 | 574 | 1116 | 559 | 55.0% | 7.9% | 93.2% | 101.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1495 |
Neutral Zone Start | 788 |
Defensive Zone Start | 1432 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1867 |
Faceoffs Lost | 1848 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 19.1 | 20.31 |
3rd Period | 28.9 | 30.68 |
Overtime | 29.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 96 |
---|---|
PP Goal | 44 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 17 | 18 |
Lost | 9 | 7 |
Overtime Lost | 5 | 6 |
PP Attempt | 240 |
---|---|
PP Goal | 44 |
PK Attempt | 196 |
PK Goal Against | 40 |
Home | |
---|---|
Shots For | 29.1 |
Shots Against | 28.5 |
Goals For | 2.3 |
Goals Against | 2.0 |
Hits | 19.3 |
Shots Blocked | 9.8 |
Pim | 6.4 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-24 | @ | Senators3,Maple Leafs2 | RECAP | ||
2020-10-26 | @ | Maple Leafs4,Blue Jackets1 | RECAP | ||
2020-10-27 | @ | Canadiens1,Maple Leafs2 | RECAP | ||
2020-10-29 | @ | Blues3,Maple Leafs2 (OT) | RECAP | ||
2020-11-01 | @ | Lightning3,Maple Leafs2 (SO) | RECAP | ||
2020-11-03 | @ | Maple Leafs2,Red Wings4 | RECAP | ||
2020-11-06 | @ | Wild1,Maple Leafs2 | RECAP | ||
2020-11-07 | @ | Maple Leafs2,Capitals1 (SO) | RECAP | ||
2020-11-10 | @ | Bruins2,Maple Leafs4 | RECAP | ||
2020-11-12 | @ | Blue Jackets2,Maple Leafs1 (OT) | RECAP | ||
2020-11-13 | @ | Maple Leafs1,Bruins2 (SO) | RECAP | ||
2020-11-16 | @ | Sharks2,Maple Leafs3 (SO) | RECAP | ||
2020-11-17 | @ | Maple Leafs3,Canadiens1 | RECAP | ||
2020-11-20 | @ | Capitals3,Maple Leafs2 | RECAP | ||
2020-11-24 | @ | Maple Leafs4,Flyers3 (SO) | RECAP | ||
2020-11-27 | @ | Kings3,Maple Leafs1 | RECAP | ||
2020-11-29 | @ | Golden Knights1,Maple Leafs3 | RECAP | ||
2020-12-01 | @ | Flyers3,Maple Leafs2 (SO) | RECAP | ||
2020-12-02 | @ | Maple Leafs1,Blackhawks2 | RECAP | ||
2020-12-05 | @ | Maple Leafs3,Islanders2 (SO) | RECAP | ||
2020-12-07 | @ | Bruins4,Maple Leafs6 | RECAP | ||
2020-12-08 | @ | Maple Leafs2,Penguins1 (SO) | RECAP | ||
2020-12-11 | @ | Maple Leafs2,Golden Knights0 | RECAP | ||
2020-12-13 | @ | Maple Leafs1,Coyotes3 | RECAP | ||
2020-12-15 | @ | Maple Leafs4,Avalanche2 | RECAP | ||
2020-12-19 | @ | Maple Leafs3,Red Wings2 (SO) | RECAP | ||
2020-12-21 | @ | Maple Leafs2,Sabres1 | RECAP | ||
2020-12-22 | @ | Sabres2,Maple Leafs4 | RECAP | ||
2020-12-25 | @ | Maple Leafs1,Flyers0 | RECAP | ||
2020-12-26 | @ | Avalanche2,Maple Leafs1 | RECAP | ||
2020-12-29 | @ | Maple Leafs2,Blues3 (SO) | RECAP | ||
2021-01-01 | @ | Maple Leafs4,Canucks1 | RECAP | ||
2021-01-03 | @ | Maple Leafs2,Flames3 (SO) | RECAP | ||
2021-01-05 | @ | Maple Leafs1,Oilers3 | RECAP | ||
2021-01-08 | @ | Sabres1,Maple Leafs2 (OT) | RECAP | ||
2021-01-11 | @ | Maple Leafs1,Rangers2 (OT) | RECAP | ||
2021-01-12 | @ | Red Wings2,Maple Leafs1 | RECAP | ||
2021-01-14 | @ | Hurricanes2,Maple Leafs3 (OT) | RECAP | ||
2021-01-18 | @ | Maple Leafs1,Devils5 | RECAP | ||
2021-01-19 | @ | Rangers0,Maple Leafs3 | RECAP | ||
2021-01-22 | @ | Maple Leafs3,Wild0 | RECAP | ||
2021-01-24 | @ | Maple Leafs2,Jets3 (SO) | RECAP | ||
2021-01-26 | @ | Islanders1,Maple Leafs2 | RECAP | ||
2021-01-28 | @ | Oilers3,Maple Leafs2 | RECAP | ||
2021-01-30 | @ | Jets1,Maple Leafs5 | RECAP | ||
2021-02-03 | @ | Maple Leafs1,Panthers2 (OT) | RECAP | ||
2021-02-05 | @ | Devils2,Maple Leafs0 | RECAP | ||
2021-02-07 | @ | Flames1,Maple Leafs2 | RECAP | ||
2021-02-09 | @ | Blackhawks2,Maple Leafs1 (SO) | RECAP | ||
2021-02-18 | @ | Maple Leafs3,Predators2 (SO) | RECAP | ||
2021-02-20 | @ | Maple Leafs1,Stars3 | RECAP | ||
2021-02-23 | @ | Senators2,Maple Leafs1 | RECAP | ||
2021-02-25 | @ | Panthers2,Maple Leafs6 | RECAP | ||
2021-02-27 | @ | Maple Leafs3,Rangers1 | RECAP | ||
2021-03-01 | @ | Ducks3,Maple Leafs2 | RECAP | ||
2021-03-02 | @ | Maple Leafs2,Canadiens1 | RECAP | ||
2021-03-05 | @ | Coyotes0,Maple Leafs3 | RECAP | ||
2021-03-07 | @ | Stars2,Maple Leafs3 | RECAP | ||
2021-03-09 | @ | Maple Leafs2,Senators1 | RECAP | ||
2021-03-10 | @ | Maple Leafs1,Sabres5 | RECAP | ||
2021-03-12 | @ | Maple Leafs2,Penguins1 | RECAP | ||
2021-03-14 | @ | Penguins1,Maple Leafs4 | RECAP | ||
2021-03-16 | @ | ||||
2021-03-19 | @ | ||||
2021-03-21 | @ | ||||
2021-03-23 | @ | ||||
2021-03-26 | @ | ||||
2021-03-28 | @ | ||||
2021-03-29 | @ | ||||
2021-04-02 | @ | ||||
2021-04-04 | @ | ||||
2021-04-06 | @ | ||||
2021-04-09 | @ | ||||
2021-04-11 | @ | ||||
2021-04-13 | @ | ||||
2021-04-15 | @ | ||||
2021-04-17 | @ | ||||
2021-04-18 | @ | ||||
2021-04-20 | @ | ||||
2021-04-23 | @ | ||||
2021-04-25 | @ | ||||
2021-04-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,401,690$ | 0$ | 81,401,690$ | 98,310$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Air Canada Center | |
City | Toronto | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
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![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 177039 | 145494 | 58599 | 118315 | 29188 |
Attendance PCT | 95.18% | 93.87% | 94.51% | 95.42% | 94.15% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
10 | 17053 - 94.74% | 613,316$ | 19,012,792$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,401,690$ | 81,401,690$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
62,133,149$ | 81,401,690$ | 62,133,149$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
6,133,159$ | 43 | 437,643$ | 18,818,649$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
18,818,649$ | 81,401,690$ | -383,341,463$ | -396,026,953$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo tor 2021 | |||||
2 ballo tor 2021 | |||||
Albin Grewe | 2019 | 57 | |||
Alex Young | 2020 | 182 | |||
Alexander Alexeyev | 2018 | 33 | |||
Ben Thomas | |||||
Blake Siebenaler | |||||
Bode Wilde | |||||
Casey Fitzgerald | 2016 | 59 | |||
Cole Caufield | 2019 | 7 | |||
Declan McDonnell | 2020 | 213 | |||
Drame Rymsha | |||||
Dylan Sadowy | |||||
Dysin Mayo | |||||
Eemeli Rasanen | |||||
Emil Andrae | 2020 | 58 | |||
Eric Cornel | |||||
Eric Florchuk | 2018 | 182 | |||
Filip Hallander | |||||
Glenn Gawdin | |||||
Grigori Denisenko | 2018 | 27 | |||
Jack Drury | |||||
Jack Malone | 2019 | 132 | |||
Jack McBain | 2018 | 58 | |||
Jeremy Michel | 2019 | 217 | |||
Jiri Patera | |||||
John Beecher | 2019 | 35 | |||
Jonah Gadjovich | |||||
Jonathan Dahlen | 2016 | 48 | |||
Kalle Loponen | 2019 | 186 | |||
Kasper Bjorkqvist | 2016 | 61 | |||
Kasper Simontaival | 2020 | 55 | |||
Konstantin Volkov | 2016 | 153 | |||
Lucas Johansen | 2016 | 30 | |||
Lukas Elvenes | |||||
Marcus Westfalt | 2018 | 213 | |||
Markus Phillips | |||||
Mason McDonald | |||||
Mavrik Bourque | 2020 | 25 | |||
Miguel Fidler | |||||
Mike Koster | 2019 | 124 | |||
Milos Roman | 2018 | 120 | |||
Nico Daws | 2020 | 65 | |||
Noah Rod | |||||
Nolan Stevens | 2016 | 121 | |||
Olivier Rodrigue | 2018 | 36 | |||
Ozzy Wiesblatt | 2020 | 27 | |||
Patrick Moynihan | 2019 | 155 | |||
Raphael Lavoie | 2019 | 26 | |||
Robin Kovacs | |||||
Ryan O'Connell | |||||
Sean Farrell | 2020 | 89 | |||
Simon Holmstrom | 2019 | 30 | |||
Taylor Raddysh | 2016 | 45 | |||
Thimo Nickl | 2020 | 94 | |||
Tyler Parsons | 2016 | 41 | |||
Tyler Soy | 2016 | 183 | |||
Veeti Miettinen | 2020 | 125 |
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