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Full Scoreboard »» |
Toronto Maple Leafs 10-7-3, 23pts · 8th 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/RW | 100.00 | 63 | 51 | 87 | 82 | 70 | 85 | 93 | 75 | 86 | 80 | 72 | 81 | 25 | 69 | 73 | 77 | 50 | 0 | 27 | 3,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 80 | 45 | 83 | 84 | 77 | 81 | 95 | 90 | 87 | 82 | 80 | 83 | 75 | 68 | 70 | 83 | 50 | 0 | 25 | 5,250,000$/7yrs | |||
![]() | 0 | C/LW | 99.00 | 73 | 43 | 89 | 88 | 74 | 80 | 97 | 78 | 98 | 86 | 72 | 78 | 35 | 69 | 73 | 78 | 50 | 0 | 28 | 2,750,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 53 | 65 | 86 | 64 | 84 | 87 | 84 | 43 | 83 | 95 | 78 | 37 | 69 | 69 | 86 | 50 | 0 | 25 | 5,500,000$/3yrs | |||
![]() | 0 | LW/RW | 99.00 | 71 | 42 | 79 | 89 | 68 | 77 | 93 | 82 | 44 | 90 | 84 | 62 | 61 | 69 | 71 | 80 | 50 | 0 | 26 | 7,875,000$/7yrs | |||
![]() | 0 | C/RW | 100.00 | 85 | 45 | 91 | 79 | 74 | 73 | 98 | 64 | 93 | 67 | 68 | 88 | 25 | 72 | 75 | 74 | 50 | 0 | 28 | 2,875,143$/4yrs | |||
![]() | 0 | LW/RW | 99.00 | 69 | 43 | 91 | 83 | 72 | 79 | 95 | 91 | 25 | 91 | 95 | 63 | 85 | 63 | 64 | 86 | 50 | 0 | 23 | 7,750,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 85 | 45 | 81 | 80 | 71 | 78 | 90 | 74 | 84 | 76 | 74 | 80 | 25 | 70 | 70 | 77 | 50 | 0 | 28 | 3,000,000$/4yrs | |||
![]() | 0 | C | 99.00 | 73 | 44 | 91 | 92 | 76 | 84 | 99 | 90 | 88 | 87 | 92 | 80 | 76 | 77 | 78 | 88 | 50 | 0 | 29 | 8,500,000$/8yrs | |||
![]() | 0 | C | 100.00 | 88 | 58 | 81 | 79 | 71 | 68 | 95 | 61 | 91 | 65 | 58 | 84 | 75 | 79 | 83 | 69 | 50 | 0 | 31 | 2,500,000$/5yrs | |||
![]() | 0 | C | 100.00 | 67 | 43 | 87 | 89 | 82 | 76 | 94 | 83 | 77 | 83 | 94 | 68 | 59 | 66 | 67 | 85 | 50 | 0 | 25 | 3,150,000$/1yrs | |||
![]() | 0 | C | 100.00 | 75 | 43 | 87 | 77 | 68 | 59 | 80 | 55 | 62 | 60 | 58 | 83 | 25 | 64 | 64 | 66 | 50 | 0 | 26 | 950,000$/1yrs | |||
![]() | 0 | D | 99.00 | 73 | 57 | 80 | 82 | 69 | 79 | 92 | 77 | 25 | 68 | 54 | 81 | 25 | 59 | 60 | 69 | 50 | 0 | 23 | 1,700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 45 | 84 | 90 | 86 | 90 | 96 | 78 | 25 | 73 | 53 | 83 | 61 | 83 | 91 | 71 | 50 | 0 | 31 | 7,875,000$/3yrs | |||
![]() | 0 | D | 100.00 | 78 | 55 | 72 | 74 | 84 | 83 | 89 | 60 | 25 | 56 | 49 | 92 | 25 | 68 | 71 | 65 | 50 | 0 | 29 | 1,450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 46 | 88 | 74 | 81 | 85 | 77 | 59 | 25 | 51 | 48 | 90 | 25 | 57 | 57 | 65 | 50 | 0 | 22 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 56 | 80 | 75 | 77 | 71 | 76 | 56 | 25 | 50 | 49 | 86 | 25 | 62 | 64 | 64 | 50 | 0 | 25 | 2,750,000$/6yrs | |||
![]() | 0 | D | 100.00 | 65 | 42 | 96 | 89 | 77 | 85 | 95 | 58 | 25 | 60 | 50 | 91 | 53 | 73 | 76 | 67 | 50 | 0 | 28 | 5,300,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.72 | 76 | 48 | 84 | 83 | 75 | 79 | 91 | 73 | 57 | 73 | 69 | 81 | 45 | 69 | 71 | 75 | 50 | 0 |
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 | 82 | 73 | 71 | 82 | 84 | 80 | 95 | 80 | 87 | 82 | 62 | 59 | 60 | 82 | 50 | 0 | 25 | 1,800,000$/1yrs |
![]() | 0 | 100.00 | 76 | 87 | 84 | 89 | 73 | 79 | 70 | 76 | 79 | 76 | 69 | 67 | 69 | 77 | 50 | 0 | 32 | 5,250,000$/5yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 80 | 78 | 86 | 79 | 80 | 83 | 78 | 83 | 79 | 66 | 63 | 65 | 80 | 50 | 0 |
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/LW | 100.00 | 69 | 42 | 90 | 79 | 63 | 69 | 62 | 72 | 33 | 80 | 70 | 59 | 25 | 52 | 52 | 71 | 57 | 0 | 20 | 894,167$/2yrs | |||
![]() | 0 | RW | 100.00 | 59 | 41 | 99 | 63 | 70 | 59 | 84 | 58 | 25 | 56 | 62 | 67 | 25 | 48 | 48 | 63 | 57 | 0 | 21 | 863,333$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 60 | 76 | 70 | 87 | 62 | 56 | 68 | 45 | 62 | 59 | 64 | 25 | 47 | 47 | 64 | 57 | 0 | 18 | 950,000$/3yrs | |||
![]() | 0 | C | 100.00 | 75 | 70 | 86 | 69 | 70 | 69 | 71 | 64 | 80 | 62 | 62 | 65 | 59 | 44 | 44 | 65 | 57 | 0 | 22 | 764,167$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 45 | 86 | 77 | 77 | 57 | 82 | 62 | 44 | 60 | 66 | 67 | 25 | 60 | 60 | 67 | 57 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 75 | 87 | 63 | 75 | 60 | 63 | 52 | 65 | 38 | 62 | 64 | 59 | 44 | 44 | 60 | 57 | 0 | 21 | 863,333$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 69 | 77 | 64 | 69 | 74 | 78 | 61 | 76 | 56 | 62 | 62 | 59 | 45 | 45 | 64 | 57 | 0 | 25 | 762,500$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 43 | 92 | 78 | 64 | 55 | 69 | 58 | 25 | 63 | 55 | 61 | 25 | 46 | 46 | 62 | 57 | 0 | 22 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 91 | 99 | 57 | 74 | 78 | 53 | 59 | 62 | 31 | 60 | 59 | 66 | 25 | 54 | 54 | 64 | 57 | 0 | 23 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 70 | 59 | 94 | 69 | 59 | 84 | 90 | 64 | 50 | 65 | 58 | 64 | 55 | 50 | 50 | 65 | 57 | 0 | 26 | 850,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 77 | 44 | 93 | 77 | 70 | 56 | 92 | 56 | 80 | 64 | 57 | 69 | 25 | 59 | 60 | 65 | 57 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 80 | 57 | 81 | 75 | 67 | 68 | 93 | 59 | 56 | 68 | 60 | 76 | 25 | 57 | 58 | 68 | 57 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 66 | 91 | 69 | 66 | 64 | 69 | 46 | 25 | 37 | 40 | 60 | 38 | 44 | 44 | 52 | 57 | 0 | 24 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 73 | 94 | 74 | 73 | 74 | 81 | 49 | 25 | 37 | 42 | 66 | 40 | 58 | 58 | 56 | 57 | 0 | 21 | 894,167$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 43 | 94 | 72 | 67 | 59 | 63 | 53 | 25 | 49 | 47 | 75 | 25 | 51 | 51 | 60 | 57 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 75 | 81 | 73 | 69 | 65 | 58 | 61 | 25 | 48 | 48 | 74 | 25 | 52 | 53 | 61 | 57 | 0 | 26 | 775,000$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 54 | 47 | 59 | 80 | 58 | 55 | 51 | 58 | 55 | 54 | 30 | 44 | 44 | 54 | 57 | 0 | 23 | 800,000$/1yrs | ||||||
![]() | 0 | 100.00 | 59 | 43 | 54 | 84 | 64 | 59 | 61 | 65 | 63 | 63 | 95 | 47 | 47 | 60 | 57 | 0 | 27 | 750,000$/1yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Francois Beaulieu |
---|
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 | Mika Zibanejad | 0 | C | 20 | 8 | 15 | 23 | -3 | 2 | 0 | 23 | 63 | 20 | 43 | 12.70% | 5 | 20.23 | 1 | 6 | 7 | 56 | 0 | 0 | 0 | 0 | 0 | 2 | 51.33% | 565 | 16 | 8 | 0 | 0 | 1.14 | 1 | 3 | ||
2 | Jason Robertson | 0 | LW/RW | 20 | 10 | 12 | 22 | -2 | 7 | 5 | 25 | 63 | 29 | 48 | 15.87% | 7 | 20.16 | 4 | 2 | 6 | 55 | 0 | 0 | 0 | 0 | 3 | 1 | 16.00% | 25 | 21 | 6 | 0 | 0 | 1.09 | 1 | 3 | ||
3 | Travis Konecny | 0 | LW/RW | 20 | 5 | 12 | 17 | 2 | 31 | 5 | 32 | 55 | 20 | 35 | 9.09% | 7 | 16.95 | 1 | 3 | 4 | 47 | 0 | 0 | 0 | 8 | 0 | 0 | 53.33% | 15 | 7 | 4 | 0 | 0 | 1.00 | 0 | 0 | ||
4 | Joel Eriksson Ek | 0 | C | 20 | 7 | 8 | 15 | 8 | 7 | 5 | 28 | 63 | 17 | 22 | 11.11% | 6 | 16.01 | 0 | 1 | 1 | 42 | 0 | 0 | 0 | 54 | 2 | 2 | 50.73% | 205 | 14 | 2 | 0 | 0 | 0.94 | 1 | 3 | ||
5 | Kevin Fiala | 0 | LW/RW | 20 | 6 | 8 | 14 | -3 | 16 | 0 | 40 | 53 | 11 | 22 | 11.32% | 9 | 20.08 | 1 | 2 | 3 | 55 | 0 | 0 | 0 | 1 | 1 | 1 | 43.48% | 23 | 16 | 3 | 0 | 0 | 0.70 | 0 | 2 | ||
6 | Roope Hintz | 0 | C | 20 | 7 | 7 | 14 | -1 | 4 | 0 | 16 | 74 | 19 | 25 | 9.46% | 4 | 15.98 | 2 | 2 | 4 | 47 | 0 | 0 | 0 | 0 | 0 | 1 | 37.50% | 16 | 16 | 3 | 0 | 0 | 0.88 | 0 | 0 | ||
7 | Chandler Stephenson | 0 | C/LW | 20 | 6 | 7 | 13 | 2 | 4 | 0 | 26 | 47 | 15 | 14 | 12.77% | 14 | 17.42 | 2 | 2 | 4 | 47 | 1 | 0 | 1 | 18 | 1 | 0 | 52.14% | 257 | 9 | 3 | 0 | 0 | 0.75 | 0 | 0 | ||
8 | J.T. Compher | 0 | C/RW | 20 | 5 | 4 | 9 | 8 | 7 | 5 | 9 | 39 | 8 | 20 | 12.82% | 11 | 14.14 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 53 | 1 | 0 | 50.00% | 6 | 8 | 6 | 0 | 0 | 0.64 | 0 | 0 | ||
9 | Scott Laughton | 0 | C/LW | 20 | 3 | 6 | 9 | 8 | 6 | 0 | 19 | 28 | 8 | 14 | 10.71% | 5 | 12.01 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 18 | 1 | 0 | 33.33% | 6 | 14 | 2 | 0 | 0 | 0.75 | 0 | 0 | ||
10 | Colton Sissons | 0 | C/RW | 20 | 2 | 3 | 5 | -1 | 0 | 0 | 22 | 31 | 19 | 36 | 6.45% | 4 | 10.04 | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 32 | 1 | 0 | 46.67% | 15 | 13 | 5 | 0 | 0 | 0.50 | 0 | 0 | ||
11 | Victor Hedman | 0 | D | 20 | 0 | 5 | 5 | -8 | 0 | 0 | 20 | 19 | 15 | 12 | 0.00% | 27 | 24.06 | 0 | 2 | 2 | 62 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 6 | 10 | 0 | 0 | 0.21 | 0 | 1 | ||
12 | Scott Mayfield | 0 | D | 20 | 0 | 4 | 4 | -3 | 39 | 5 | 32 | 15 | 8 | 7 | 0.00% | 24 | 22.21 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 1 | 13 | 0 | 0 | 0.18 | 0 | 0 | ||
13 | Sean Durzi | 0 | D | 20 | 1 | 2 | 3 | -4 | 14 | 0 | 17 | 14 | 10 | 11 | 7.14% | 29 | 20.69 | 1 | 0 | 1 | 61 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 5 | 5 | 0 | 0 | 0.14 | 0 | 0 | ||
14 | Mattias Samuelsson | 0 | D | 20 | 0 | 3 | 3 | 11 | 6 | 0 | 17 | 17 | 4 | 2 | 0.00% | 19 | 15.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 15 | 0 | 0 | 0.19 | 0 | 0 | ||
15 | Zach Whitecloud | 0 | D | 20 | 0 | 3 | 3 | 9 | 9 | 5 | 8 | 9 | 4 | 8 | 0.00% | 15 | 15.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 1 | 17 | 0 | 0 | 0.20 | 0 | 0 | ||
16 | Jaccob Slavin | 0 | D | 20 | 0 | 2 | 2 | 3 | 0 | 0 | 9 | 20 | 7 | 8 | 0.00% | 17 | 20.68 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 2 | 17 | 0 | 0 | 0.10 | 0 | 0 | ||
17 | Casey Cizikas | 0 | C | 20 | 1 | 0 | 1 | -3 | 6 | 0 | 18 | 20 | 11 | 11 | 5.00% | 0 | 7.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 54 | 3 | 1 | 0 | 0 | 0.13 | 0 | 3 | ||
18 | Dylan Gambrell | 0 | C | 20 | 0 | 1 | 1 | -3 | 2 | 0 | 15 | 8 | 4 | 3 | 0.00% | 5 | 7.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 3 | 4 | 0 | 0 | 0.13 | 0 | 0 | ||
Team Total or Average | 360 | 61 | 102 | 163 | 20 | 160 | 30 | 376 | 638 | 229 | 341 | 9.56% | 208 | 16.54 | 12 | 20 | 32 | 528 | 2 | 3 | 5 | 380 | 10 | 7 | 50.29% | 1191 | 155 | 124 | 0 | 0 | 0.55 | 3 | 15 |
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 | Darcy Kuemper | 13 | 7 | 5 | 1 | 0.899 | 3.32 | 741 | 0 | 1 | 41 | 405 | 205 | 1 | 1 | 0.667 | 6 | 13 | 7 | 3 | 0 | 0 | |
2 | Ilya Samsonov | 9 | 3 | 2 | 2 | 0.913 | 2.53 | 475 | 0 | 0 | 20 | 229 | 115 | 0 | 0 | 0.556 | 9 | 7 | 13 | 0 | 1 | 0 | |
Team Total or Average | 22 | 10 | 7 | 3 | 0.904 | 3.01 | 1216 | 0 | 1 | 61 | 634 | 320 | 1 | 1 | 0.600 | 15 | 20 | 20 | 3 | 1 | 0 |
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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 35 | 13 | 10 | 12 | 0 | 33 | 6 | 6 | 21 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 20 | 11 | 22 | 8 | 17 | 8 | 33.3% | 5.7% | 84.8% | 90.6 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 39 | 12 | 13 | 14 | 0 | 33 | 14 | 6 | 10 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 20 | 12 | 22 | 8 | 17 | 7 | 25.0% | 2.6% | 87.9% | 90.4 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 33 | 14 | 9 | 10 | 0 | 25 | 8 | 10 | 14 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 1 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 23 | 14 | 19 | 9 | 16 | 8 | 75.0% | 12.1% | 92.0% | 104.1 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 2 | 0.500 | 12 | 20 | 32 | 0 | 0 | 5 | 3 | 4 | 0 | 61 | 22 | 21 | 18 | 0 | 72 | 28 | 23 | 40 | 6 | 2 | 33.33% | 9 | 3 | 66.67% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 41 | 23 | 42 | 17 | 35 | 17 | 58.8% | 19.7% | 86.1% | 105.8 | FUN | |
5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 1 | 20 | 3 | 4 | 12 | 7 | 32 | 11 | 5 | 16 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 21 | 11 | 22 | 9 | 21 | 10 | 33.3% | 15.0% | 87.5% | 102.5 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 7 | 9 | 11 | 0 | 35 | 13 | 13 | 18 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 21 | 12 | 19 | 9 | 18 | 9 | 0.0% | 3.7% | 85.7% | 89.4 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 6 | 10 | 0 | 1 | 1 | 1 | 2 | 0 | 29 | 12 | 8 | 9 | 0 | 25 | 13 | 4 | 18 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 21 | 12 | 20 | 8 | 17 | 9 | 100.0% | 13.8% | 100.0% | 113.8 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 31 | 10 | 7 | 14 | 0 | 29 | 12 | 6 | 20 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 1 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 21 | 12 | 20 | 8 | 17 | 8 | 50.0% | 9.7% | 93.1% | 102.8 | LUCKY | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 0 | 2 | 0 | 0 | 31 | 13 | 10 | 8 | 0 | 42 | 5 | 8 | 20 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 22 | 13 | 22 | 7 | 15 | 7 | 20.0% | 6.5% | 90.5% | 96.9 | Unlucky | |
10 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 1 | 1 | 36 | 8 | 14 | 13 | 1 | 29 | 8 | 6 | 17 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 25 | 15 | 18 | 8 | 16 | 9 | 66.7% | 11.1% | 89.7% | 100.8 | FUN | |
11 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 3 | 2 | 68 | 12 | 28 | 25 | 8 | 68 | 21 | 19 | 37 | 11 | 3 | 27.27% | 2 | 1 | 50.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 48 | 29 | 42 | 18 | 35 | 18 | 40.0% | 10.3% | 89.7% | 100.0 | FUN | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 1 | 60 | 15 | 26 | 19 | 4 | 52 | 23 | 6 | 47 | 9 | 1 | 11.11% | 2 | 0 | 100.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 47 | 27 | 40 | 17 | 36 | 19 | 42.9% | 6.7% | 92.3% | 99.0 | DULL | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 38 | 10 | 20 | 8 | 0 | 33 | 12 | 14 | 21 | 3 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 23 | 14 | 21 | 8 | 15 | 7 | 40.0% | 5.3% | 81.8% | 87.1 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 3 | 0 | 31 | 12 | 7 | 12 | 0 | 26 | 8 | 6 | 24 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 21 | 11 | 21 | 9 | 17 | 9 | 80.0% | 12.9% | 88.5% | 101.4 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 65 | 19 | 22 | 24 | 0 | 66 | 14 | 16 | 30 | 6 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 46 | 28 | 40 | 17 | 32 | 16 | 85.7% | 9.2% | 95.5% | 104.7 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 34 | 8 | 16 | 10 | 0 | 35 | 12 | 12 | 23 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 18 | 10 | 24 | 9 | 16 | 8 | 50.0% | 5.9% | 91.4% | 97.3 | DULL | |
_Vs Division | 9 | 2 | 4 | 0 | 2 | 0 | 0 | 1 | 32 | 37 | -5 | 9 | 0.500 | 32 | 54 | 86 | 0 | 0 | 14 | 5 | 11 | 3 | 310 | 91 | 115 | 100 | 9 | 293 | 97 | 84 | 160 | 29 | 6 | 20.69% | 32 | 11 | 65.63% | 1 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 203 | 121 | 189 | 79 | 154 | 77 | 50.0% | 10.3% | 87.4% | 97.7 | FUN | |
_Vs Conference | 11 | 3 | 4 | 0 | 2 | 0 | 0 | 2 | 38 | 43 | -5 | 12 | 0.545 | 38 | 65 | 103 | 0 | 0 | 16 | 5 | 15 | 4 | 361 | 104 | 126 | 126 | 16 | 354 | 120 | 95 | 196 | 35 | 8 | 22.86% | 35 | 11 | 68.57% | 2 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 246 | 145 | 233 | 97 | 193 | 96 | 48.4% | 10.5% | 87.9% | 98.4 | FUN | |
_Since Last GM Reset | 20 | 8 | 7 | 0 | 2 | 0 | 0 | 3 | 61 | 65 | -4 | 23 | 0.575 | 61 | 102 | 163 | 1 | 1 | 21 | 15 | 23 | 5 | 638 | 190 | 224 | 219 | 20 | 635 | 208 | 160 | 376 | 67 | 12 | 17.91% | 64 | 18 | 71.88% | 2 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 446 | 262 | 422 | 177 | 348 | 177 | 51.0% | 9.6% | 89.8% | 99.3 | FUN | |
Total | 20 | 8 | 7 | 0 | 2 | 0 | 0 | 3 | 61 | 65 | -4 | 23 | 0.575 | 61 | 102 | 163 | 1 | 1 | 21 | 15 | 23 | 5 | 638 | 190 | 224 | 219 | 20 | 635 | 208 | 160 | 376 | 67 | 12 | 17.91% | 64 | 18 | 71.88% | 2 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 446 | 262 | 422 | 177 | 348 | 177 | 51.0% | 9.6% | 89.8% | 99.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 463 |
Neutral Zone Start | 296 |
Defensive Zone Start | 423 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 599 |
Faceoffs Lost | 583 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 20.7 | 20.31 |
3rd Period | 31.7 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 46 |
---|---|
PP Goal | 12 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 5 | 5 |
Lost | 4 | 3 |
Overtime Lost | 1 | 2 |
PP Attempt | 67 |
---|---|
PP Goal | 12 |
PK Attempt | 64 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 31.9 |
Shots Against | 31.8 |
Goals For | 3.1 |
Goals Against | 3.3 |
Hits | 18.8 |
Shots Blocked | 10.4 |
Pim | 8.0 |
Projected Total Cap Hit | 80,650,143$ |
Projected Cap Space | 1,849,857$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 21,002,650$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Maple Leafs Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Casey Cizikas ![]() | C | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||
Chandler Stephenson ![]() | C/LW | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Colton Sissons ![]() | C/RW | 28 | 2,875,143$ | 2,875,143$ | 2,875,143$ | 2,875,143$ | 2,875,143$ | ||||
Darcy Kuemper ![]() | G | 32 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | |||
Dylan Gambrell ![]() | C | 26 | 950,000$ | 950,000$ | |||||||
Ilya Samsonov ![]() | G | 25 | 1,800,000$ | 1,800,000$ | |||||||
J.T. Compher ![]() | C/RW | 27 | 3,500,000$ | 3,500,000$ | |||||||
Jaccob Slavin ![]() | D | 28 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | |||||
Jason Robertson ![]() | LW/RW | 23 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | ||||
Joel Eriksson Ek ![]() | C | 25 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | |
Kevin Fiala ![]() | LW/RW | 26 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | |
Mattias Samuelsson ![]() | D | 22 | 925,000$ | 925,000$ | |||||||
Mika Zibanejad ![]() | C | 29 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Roope Hintz ![]() | C | 25 | 3,150,000$ | 3,150,000$ | |||||||
Scott Laughton ![]() | C/LW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||
Scott Mayfield ![]() | D | 29 | 1,450,000$ | 1,450,000$ | |||||||
Sean Durzi ![]() | D | 23 | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||||
Travis Konecny ![]() | LW/RW | 25 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Victor Hedman ![]() | D | 31 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | |||||
Zach Whitecloud ![]() | D | 25 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 35 | 13 | 10 | 12 | 0 | 33 | 6 | 6 | 21 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 20 | 11 | 22 | 8 | 17 | 8 | 33.3% | 5.7% | 84.8% | 90.6 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 39 | 12 | 13 | 14 | 0 | 33 | 14 | 6 | 10 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 20 | 12 | 22 | 8 | 17 | 7 | 25.0% | 2.6% | 87.9% | 90.4 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 33 | 14 | 9 | 10 | 0 | 25 | 8 | 10 | 14 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 1 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 23 | 14 | 19 | 9 | 16 | 8 | 75.0% | 12.1% | 92.0% | 104.1 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 2 | 0.500 | 12 | 20 | 32 | 0 | 0 | 5 | 3 | 4 | 0 | 61 | 22 | 21 | 18 | 0 | 72 | 28 | 23 | 40 | 6 | 2 | 33.33% | 9 | 3 | 66.67% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 41 | 23 | 42 | 17 | 35 | 17 | 58.8% | 19.7% | 86.1% | 105.8 | FUN | |
5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 1 | 20 | 3 | 4 | 12 | 7 | 32 | 11 | 5 | 16 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 21 | 11 | 22 | 9 | 21 | 10 | 33.3% | 15.0% | 87.5% | 102.5 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 7 | 9 | 11 | 0 | 35 | 13 | 13 | 18 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 21 | 12 | 19 | 9 | 18 | 9 | 0.0% | 3.7% | 85.7% | 89.4 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 6 | 10 | 0 | 1 | 1 | 1 | 2 | 0 | 29 | 12 | 8 | 9 | 0 | 25 | 13 | 4 | 18 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 21 | 12 | 20 | 8 | 17 | 9 | 100.0% | 13.8% | 100.0% | 113.8 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 31 | 10 | 7 | 14 | 0 | 29 | 12 | 6 | 20 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 1 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 21 | 12 | 20 | 8 | 17 | 8 | 50.0% | 9.7% | 93.1% | 102.8 | LUCKY | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 0 | 2 | 0 | 0 | 31 | 13 | 10 | 8 | 0 | 42 | 5 | 8 | 20 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 22 | 13 | 22 | 7 | 15 | 7 | 20.0% | 6.5% | 90.5% | 96.9 | Unlucky | |
10 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 1 | 1 | 36 | 8 | 14 | 13 | 1 | 29 | 8 | 6 | 17 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 25 | 15 | 18 | 8 | 16 | 9 | 66.7% | 11.1% | 89.7% | 100.8 | FUN | |
11 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 3 | 2 | 68 | 12 | 28 | 25 | 8 | 68 | 21 | 19 | 37 | 11 | 3 | 27.27% | 2 | 1 | 50.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 48 | 29 | 42 | 18 | 35 | 18 | 40.0% | 10.3% | 89.7% | 100.0 | FUN | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 1 | 60 | 15 | 26 | 19 | 4 | 52 | 23 | 6 | 47 | 9 | 1 | 11.11% | 2 | 0 | 100.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 47 | 27 | 40 | 17 | 36 | 19 | 42.9% | 6.7% | 92.3% | 99.0 | DULL | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 38 | 10 | 20 | 8 | 0 | 33 | 12 | 14 | 21 | 3 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 23 | 14 | 21 | 8 | 15 | 7 | 40.0% | 5.3% | 81.8% | 87.1 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 3 | 0 | 31 | 12 | 7 | 12 | 0 | 26 | 8 | 6 | 24 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 21 | 11 | 21 | 9 | 17 | 9 | 80.0% | 12.9% | 88.5% | 101.4 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 65 | 19 | 22 | 24 | 0 | 66 | 14 | 16 | 30 | 6 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 46 | 28 | 40 | 17 | 32 | 16 | 85.7% | 9.2% | 95.5% | 104.7 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 34 | 8 | 16 | 10 | 0 | 35 | 12 | 12 | 23 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 18 | 10 | 24 | 9 | 16 | 8 | 50.0% | 5.9% | 91.4% | 97.3 | DULL | |
_Vs Division | 9 | 2 | 4 | 0 | 2 | 0 | 0 | 1 | 32 | 37 | -5 | 9 | 0.500 | 32 | 54 | 86 | 0 | 0 | 14 | 5 | 11 | 3 | 310 | 91 | 115 | 100 | 9 | 293 | 97 | 84 | 160 | 29 | 6 | 20.69% | 32 | 11 | 65.63% | 1 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 203 | 121 | 189 | 79 | 154 | 77 | 50.0% | 10.3% | 87.4% | 97.7 | FUN | |
_Vs Conference | 11 | 3 | 4 | 0 | 2 | 0 | 0 | 2 | 38 | 43 | -5 | 12 | 0.545 | 38 | 65 | 103 | 0 | 0 | 16 | 5 | 15 | 4 | 361 | 104 | 126 | 126 | 16 | 354 | 120 | 95 | 196 | 35 | 8 | 22.86% | 35 | 11 | 68.57% | 2 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 246 | 145 | 233 | 97 | 193 | 96 | 48.4% | 10.5% | 87.9% | 98.4 | FUN | |
_Since Last GM Reset | 20 | 8 | 7 | 0 | 2 | 0 | 0 | 3 | 61 | 65 | -4 | 23 | 0.575 | 61 | 102 | 163 | 1 | 1 | 21 | 15 | 23 | 5 | 638 | 190 | 224 | 219 | 20 | 635 | 208 | 160 | 376 | 67 | 12 | 17.91% | 64 | 18 | 71.88% | 2 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 446 | 262 | 422 | 177 | 348 | 177 | 51.0% | 9.6% | 89.8% | 99.3 | FUN | |
Total | 20 | 8 | 7 | 0 | 2 | 0 | 0 | 3 | 61 | 65 | -4 | 23 | 0.575 | 61 | 102 | 163 | 1 | 1 | 21 | 15 | 23 | 5 | 638 | 190 | 224 | 219 | 20 | 635 | 208 | 160 | 376 | 67 | 12 | 17.91% | 64 | 18 | 71.88% | 2 | 235 | 463 | 50.76% | 225 | 423 | 53.19% | 139 | 296 | 46.96% | 446 | 262 | 422 | 177 | 348 | 177 | 51.0% | 9.6% | 89.8% | 99.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 463 |
Neutral Zone Start | 296 |
Defensive Zone Start | 423 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 599 |
Faceoffs Lost | 583 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 20.7 | 20.31 |
3rd Period | 31.7 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 46 |
---|---|
PP Goal | 12 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 5 | 5 |
Lost | 4 | 3 |
Overtime Lost | 1 | 2 |
PP Attempt | 67 |
---|---|
PP Goal | 12 |
PK Attempt | 64 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 31.9 |
Shots Against | 31.8 |
Goals For | 3.1 |
Goals Against | 3.3 |
Hits | 18.8 |
Shots Blocked | 10.4 |
Pim | 8.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,650,143$ | 0$ | 80,650,143$ | 1,849,857$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Scotiabank Arena | |
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 | 57574 | 46574 | 18545 | 38652 | 9546 |
Attendance PCT | 95.96% | 93.15% | 92.73% | 96.63% | 95.46% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
31 | 17089 - 94.94% | 615,897$ | 6,158,971$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,650,143$ | 80,650,143$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
21,002,650$ | 80,650,143$ | 21,002,650$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
19,092,810$ | 142 | 420,053$ | 59,647,526$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
68,729,998$ | 80,650,143$ | -554,795,418$ | -604,432,606$ |
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 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
---|---|---|---|---|---|
Albin Grewe | 2019 | 57 | |||
Alex Young | 2020 | 182 | |||
Austin Poganski | Link | ||||
Axel Sandin Pellikka | 2023 | 15 | |||
Beau Akey | 2023 | 47 | |||
Ben Gleason | |||||
Bode Wilde | |||||
Brayden Yager | 2023 | 20 | |||
Brendan Guhle | Link | ||||
Brennan Othmann | 2021 | 25 | |||
Brogan Rafferty | Link | ||||
Cameron Berg | 2021 | 121 | |||
Carson Bjarnason | 2023 | 28 | |||
Chase De Leo | Link | ||||
Chaz Lucius | 2021 | 14 | |||
Conor Geekie | 2022 | 9 | |||
Daimon Gardner | 2022 | 102 | |||
Declan McDonnell | 2020 | 213 | |||
Dmitri Buchelnikov | 2022 | 61 | |||
Drake Rymsha | Link | ||||
Emil Andrae | 2020 | 58 | |||
Eric Florchuk | 2018 | 182 | |||
Hunter Brzustewicz | 2023 | 76 | |||
Jack Malone | 2019 | 132 | |||
Jack Thompson | 2020 | 105 | |||
Jalen Luypen | 2021 | 185 | |||
Janne Kuokkanen | Link | ||||
Jeremy Michel | 2019 | 217 | |||
Jiri Kulich | 2022 | 22 | |||
Joey Muldowney | 2022 | 166 | |||
Kalle Loponen | 2019 | 186 | |||
Kasper Bjorkqvist | Link | ||||
Kasper Simontaival | 2020 | 55 | |||
Koehn Ziemmer | 2023 | 62 | |||
Konstantin Volkov | 2016 | 153 | |||
Lukas Elvenes | |||||
Mackenzie MacEachern | Link | ||||
Marco Kasper | 2022 | 10 | |||
Marcus Westfalt | 2018 | 213 | |||
Matthew Maggio | |||||
Matthew Wood | 2023 | 14 | |||
Michael Milne | 2022 | 72 | |||
Mike Koster | 2019 | 124 | |||
Milan Kloucek | 2018 | 184 | |||
Milos Roman | 2018 | 120 | |||
Nate Danielson | 2023 | 12 | |||
Nick Malik | 2022 | 150 | |||
Nico Daws | Link | ||||
Niko Huuhtanen | 2021 | 217 | |||
Noah Dower Nilsson | 2023 | 81 | |||
Olivier Rodrigue | 2018 | 36 | |||
Otto Stenberg | 2023 | 22 | |||
Owen Pickering | 2022 | 25 | |||
Ozzy Wiesblatt | 2020 | 27 | |||
Patrick Moynihan | 2019 | 155 | |||
Pavel Mintyukov | 2022 | 15 | |||
Quentin Musty | 2023 | 25 | |||
Raphael Lavoie | 2019 | 26 | |||
Rieger Lorenz | 2022 | 44 | |||
Rodwin Dionicio | 2023 | 124 | |||
Ryan O'Connell | |||||
Ryker Evans | 2021 | 29 | |||
Sasha Pastujov | 2021 | 64 | |||
Scott Morrow | 2021 | 27 | |||
Sean Farrell | 2020 | 89 | |||
Simon Knak | 2021 | 153 | |||
Simon Nemec | 2022 | 4 | |||
Thimo Nickl | 2020 | 94 | |||
Topias Leinonen | 2022 | 40 | |||
Tristan Bertucci | 2023 | 54 | |||
Tristan Luneau | 2022 | 38 | |||
Tyler Brennan | 2022 | 64 | |||
Veeti Miettinen | 2020 | 125 | |||
Xavier Bourgault | 2021 | 19 | |||
Zachary Senyshyn | Link |
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