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Full Scoreboard »» |
Chicago Blackhawks 31-25-5, 67pts · 11th in Conference Ouest |
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 | 56 | 39 | 73 | 91 | 72 | 87 | 89 | 86 | 75 | 83 | 74 | 62 | 80 | 65 | 71 | 83 | 50 | 73 | 22 | 863,333$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 57 | 42 | 82 | 77 | 84 | 80 | 83 | 76 | 53 | 78 | 78 | 64 | 79 | 68 | 71 | 76 | 50 | 70 | 24 | 3,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 74 | 42 | 86 | 71 | 85 | 81 | 89 | 70 | 76 | 71 | 72 | 74 | 69 | 85 | 76 | 37 | 50 | 70 | 33 | 4,750,000$/1yrs | |||
![]() | 0 | C | 99.00 | 67 | 39 | 88 | 78 | 72 | 83 | 79 | 77 | 84 | 76 | 72 | 74 | 78 | 62 | 69 | 92 | 50 | 70 | 20 | 3,775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 85 | 45 | 71 | 74 | 70 | 82 | 72 | 73 | 54 | 72 | 77 | 66 | 74 | 82 | 75 | 29 | 50 | 69 | 32 | 4,250,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 56 | 39 | 89 | 77 | 69 | 82 | 88 | 76 | 51 | 73 | 79 | 56 | 78 | 79 | 73 | 52 | 50 | 69 | 30 | 4,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 84 | 43 | 79 | 69 | 88 | 75 | 77 | 68 | 53 | 70 | 74 | 67 | 65 | 71 | 69 | 64 | 50 | 68 | 24 | 1,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 56 | 39 | 83 | 63 | 72 | 81 | 89 | 62 | 83 | 68 | 60 | 71 | 63 | 86 | 76 | 33 | 50 | 65 | 35 | 3,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 39 | 88 | 70 | 72 | 77 | 83 | 68 | 57 | 69 | 61 | 56 | 63 | 71 | 66 | 54 | 50 | 64 | 25 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 59 | 40 | 85 | 68 | 76 | 83 | 62 | 67 | 71 | 66 | 66 | 59 | 68 | 61 | 62 | 74 | 50 | 63 | 20 | 897,500$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 84 | 43 | 83 | 62 | 76 | 71 | 67 | 60 | 72 | 55 | 59 | 75 | 61 | 75 | 68 | 53 | 50 | 63 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 99 | 48 | 71 | 61 | 87 | 67 | 74 | 59 | 52 | 54 | 60 | 58 | 56 | 79 | 73 | 49 | 50 | 61 | 30 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 45 | 71 | 61 | 83 | 85 | 68 | 59 | 30 | 67 | 54 | 90 | 51 | 88 | 89 | 25 | 50 | 72 | 37 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 92 | 55 | 57 | 65 | 91 | 85 | 88 | 63 | 30 | 72 | 53 | 79 | 49 | 78 | 70 | 36 | 50 | 72 | 28 | 3,270,000$/1yrs | |||
![]() | 0 | D | 100.00 | 87 | 42 | 87 | 64 | 86 | 83 | 85 | 63 | 30 | 70 | 56 | 76 | 48 | 86 | 76 | 32 | 50 | 71 | 35 | 6,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 41 | 82 | 62 | 78 | 88 | 79 | 61 | 30 | 72 | 53 | 82 | 48 | 77 | 73 | 36 | 50 | 70 | 27 | 4,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 79 | 43 | 84 | 62 | 88 | 83 | 71 | 59 | 30 | 72 | 57 | 83 | 51 | 82 | 73 | 52 | 50 | 70 | 32 | 5,700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 42 | 89 | 68 | 86 | 87 | 89 | 66 | 30 | 74 | 62 | 71 | 52 | 65 | 66 | 87 | 50 | 70 | 22 | 4,950,000$/5yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 69 | 45 | 85 | 66 | 68 | 76 | 71 | 64 | 52 | 57 | 65 | 59 | 66 | 71 | 72 | 58 | 50 | 62 | 25 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 39 | 88 | 63 | 71 | 65 | 77 | 61 | 74 | 57 | 60 | 59 | 63 | 75 | 68 | 36 | 50 | 61 | 27 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 54 | 47 | 85 | 59 | 65 | 85 | 87 | 56 | 65 | 58 | 57 | 63 | 57 | 73 | 67 | 58 | 50 | 60 | 25 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 37 | 89 | 60 | 71 | 74 | 73 | 58 | 30 | 59 | 55 | 57 | 48 | 77 | 67 | 52 | 50 | 60 | 28 | 700,000$/2yrs | |||
TEAM AVERAGE | 99.91 | 73 | 42 | 82 | 68 | 78 | 80 | 79 | 66 | 54 | 68 | 64 | 68 | 62 | 75 | 71 | 53 | 50 | 67 |
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 | 94 | 95 | 93 | 87 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 71 | 75 | 79 | 50 | 87 | 25 | 3,500,000$/1yrs |
![]() | 0 | 100.00 | 90 | 93 | 91 | 75 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 75 | 81 | 58 | 50 | 84 | 27 | 3,125,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 92 | 94 | 92 | 81 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 73 | 78 | 69 | 50 | 86 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 62 | 38 | 88 | 63 | 80 | 71 | 67 | 61 | 57 | 62 | 60 | 64 | 61 | 65 | 63 | 54 | 60 | 61 | 22 | 677,777$/1yrs | |||
![]() | 0 | LW | 100.00 | 68 | 48 | 84 | 61 | 90 | 78 | 77 | 59 | 54 | 58 | 62 | 60 | 58 | 69 | 65 | 53 | 60 | 61 | 24 | 767,500$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 60 | 77 | 63 | 81 | 73 | 75 | 62 | 67 | 61 | 58 | 59 | 62 | 63 | 65 | 79 | 60 | 61 | 21 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 43 | 89 | 65 | 70 | 76 | 74 | 63 | 70 | 61 | 58 | 59 | 59 | 61 | 62 | 74 | 60 | 60 | 20 | 745,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 66 | 43 | 83 | 62 | 73 | 72 | 68 | 60 | 56 | 61 | 61 | 59 | 60 | 69 | 65 | 52 | 60 | 60 | 23 | 715,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 42 | 85 | 63 | 75 | 77 | 75 | 61 | 70 | 56 | 60 | 62 | 61 | 63 | 62 | 87 | 60 | 60 | 20 | 1,775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 67 | 45 | 87 | 59 | 86 | 67 | 61 | 56 | 53 | 50 | 55 | 66 | 58 | 85 | 75 | 26 | 60 | 59 | 34 | 4,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 41 | 73 | 79 | 82 | 85 | 83 | 76 | 30 | 87 | 62 | 59 | 56 | 62 | 66 | 94 | 60 | 69 | 19 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 40 | 79 | 69 | 73 | 83 | 88 | 66 | 30 | 71 | 60 | 67 | 52 | 61 | 63 | 79 | 60 | 66 | 20 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 39 | 75 | 68 | 72 | 85 | 83 | 65 | 30 | 66 | 63 | 67 | 52 | 63 | 62 | 83 | 60 | 65 | 21 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 38 | 81 | 65 | 72 | 81 | 75 | 63 | 30 | 64 | 57 | 59 | 52 | 63 | 61 | 66 | 60 | 61 | 21 | 745,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 42 | 87 | 60 | 74 | 84 | 77 | 59 | 30 | 58 | 57 | 61 | 49 | 62 | 63 | 83 | 60 | 61 | 20 | 894,167$/3yrs | |||
![]() | 0 | D | 100.00 | 57 | 39 | 90 | 65 | 68 | 72 | 75 | 63 | 30 | 64 | 55 | 57 | 51 | 59 | 60 | 84 | 60 | 59 | 18 | 925,000$/3yrs | |||
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 | Francis Bourque |
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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 | Mathew Barzal | 0 | C | 61 | 22 | 37 | 59 | -8 | 46 | 0 | 73 | 281 | 88 | 161 | 7.83% | 22 | 20.19 | 10 | 21 | 31 | 190 | 0 | 0 | 0 | 1 | 3 | 2 | 53.13% | 463 | 82 | 19 | 0 | 0 | 0.96 | 4 | 10 | ||
2 | Nico Hischier | 0 | C | 61 | 18 | 29 | 47 | -4 | 13 | 5 | 67 | 166 | 47 | 107 | 10.84% | 36 | 21.79 | 10 | 15 | 25 | 186 | 0 | 0 | 0 | 161 | 5 | 2 | 49.03% | 1642 | 36 | 29 | 1 | 0 | 0.71 | 2 | 9 | ||
3 | Andre Burakovsky | 0 | LW/RW | 61 | 13 | 24 | 37 | -8 | 18 | 0 | 54 | 168 | 51 | 104 | 7.74% | 26 | 20.12 | 5 | 11 | 16 | 189 | 0 | 0 | 0 | 19 | 1 | 2 | 53.09% | 81 | 38 | 18 | 0 | 0 | 0.60 | 4 | 10 | ||
4 | Patric Hornqvist | 0 | RW | 61 | 14 | 15 | 29 | 1 | 57 | 5 | 116 | 143 | 43 | 100 | 9.79% | 7 | 15.89 | 5 | 6 | 11 | 151 | 0 | 0 | 0 | 0 | 1 | 0 | 29.41% | 51 | 28 | 11 | 0 | 0 | 0.60 | 1 | 2 | ||
5 | Evgenii Dadonov | 0 | LW/RW | 61 | 10 | 16 | 26 | -2 | 6 | 0 | 49 | 172 | 58 | 108 | 5.81% | 13 | 17.62 | 3 | 6 | 9 | 152 | 0 | 0 | 0 | 0 | 3 | 0 | 40.98% | 61 | 48 | 17 | 0 | 0 | 0.48 | 0 | 3 | ||
6 | Noah Hanifin | 0 | D | 61 | 6 | 16 | 22 | 0 | 21 | 5 | 59 | 71 | 26 | 28 | 8.45% | 52 | 20.10 | 5 | 4 | 9 | 173 | 0 | 0 | 0 | 3 | 2 | 0 | 0.00% | 0 | 20 | 33 | 0 | 0 | 0.36 | 0 | 0 | ||
7 | Alexandre Texier | 0 | C/LW/RW | 61 | 6 | 14 | 20 | 8 | 8 | 0 | 36 | 113 | 27 | 83 | 5.31% | 4 | 14.65 | 2 | 3 | 5 | 173 | 0 | 0 | 0 | 18 | 2 | 1 | 31.25% | 32 | 28 | 11 | 0 | 0 | 0.45 | 0 | 0 | ||
8 | Carl Soderberg | 0 | C | 61 | 9 | 11 | 20 | 7 | 10 | 0 | 79 | 106 | 30 | 76 | 8.49% | 24 | 17.89 | 2 | 5 | 7 | 149 | 1 | 0 | 1 | 158 | 3 | 0 | 53.25% | 676 | 32 | 24 | 0 | 0 | 0.37 | 1 | 1 | ||
9 | Zach Sanford | 0 | LW | 61 | 7 | 11 | 18 | 4 | 26 | 0 | 87 | 118 | 41 | 76 | 5.93% | 19 | 14.12 | 2 | 6 | 8 | 172 | 0 | 0 | 0 | 0 | 0 | 0 | 35.29% | 17 | 33 | 14 | 0 | 0 | 0.42 | 0 | 0 | ||
10 | Valtteri Filppula | 0 | C | 61 | 5 | 5 | 10 | 1 | 8 | 0 | 40 | 76 | 21 | 40 | 6.58% | 16 | 12.75 | 1 | 1 | 2 | 8 | 0 | 0 | 0 | 154 | 1 | 1 | 54.89% | 481 | 13 | 19 | 1 | 0 | 0.26 | 0 | 0 | ||
11 | Dominik Simon | 0 | C/LW/RW | 61 | 7 | 3 | 10 | -1 | 6 | 0 | 31 | 81 | 18 | 37 | 8.64% | 9 | 11.17 | 2 | 1 | 3 | 173 | 0 | 0 | 0 | 0 | 2 | 0 | 45.45% | 11 | 16 | 6 | 0 | 0 | 0.29 | 0 | 0 | ||
12 | Nikita Zaitsev | 0 | D | 61 | 0 | 9 | 9 | -3 | 10 | 0 | 42 | 42 | 20 | 27 | 0.00% | 57 | 18.83 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 160 | 0 | 0 | 0.00% | 0 | 12 | 50 | 0 | 0 | 0.16 | 0 | 0 | ||
13 | Deryk Engelland | 0 | D | 61 | 2 | 6 | 8 | 3 | 72 | 0 | 82 | 52 | 19 | 19 | 3.85% | 63 | 19.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 148 | 0 | 0 | 0.00% | 0 | 10 | 48 | 1 | 0 | 0.13 | 0 | 0 | ||
14 | Marc Staal | 0 | D | 61 | 0 | 6 | 6 | 8 | 26 | 0 | 59 | 42 | 14 | 17 | 0.00% | 68 | 18.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 0 | 0 | 0.00% | 0 | 10 | 51 | 0 | 0 | 0.10 | 0 | 0 | ||
15 | Brenden Dillon | 0 | D | 61 | 2 | 4 | 6 | -5 | 99 | 5 | 94 | 42 | 17 | 12 | 4.76% | 66 | 17.87 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 129 | 1 | 0 | 0.00% | 0 | 11 | 36 | 0 | 0 | 0.11 | 0 | 0 | ||
16 | Joakim Nordstrom | 0 | C/LW | 61 | 3 | 2 | 5 | -2 | 8 | 0 | 43 | 66 | 12 | 34 | 4.55% | 9 | 10.70 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 156 | 0 | 1 | 47.06% | 136 | 9 | 14 | 1 | 0 | 0.15 | 0 | 0 | ||
17 | Johnny Boychuk | 0 | D | 61 | 1 | 3 | 4 | 3 | 14 | 0 | 65 | 33 | 8 | 15 | 3.03% | 49 | 17.45 | 1 | 0 | 1 | 9 | 0 | 0 | 0 | 59 | 1 | 0 | 0.00% | 0 | 10 | 36 | 0 | 0 | 0.08 | 0 | 0 | ||
18 | Matt Martin | 0 | LW | 54 | 2 | 2 | 4 | -2 | 17 | 5 | 44 | 34 | 11 | 19 | 5.88% | 4 | 8.06 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 33.33% | 6 | 3 | 2 | 0 | 0 | 0.18 | 0 | 0 | ||
19 | Charles Hudon | 0 | LW | 7 | 0 | 0 | 0 | -2 | 2 | 0 | 3 | 9 | 0 | 3 | 0.00% | 1 | 8.64 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1098 | 127 | 213 | 340 | -2 | 467 | 25 | 1123 | 1815 | 551 | 1066 | 7.00% | 545 | 16.54 | 48 | 80 | 128 | 1741 | 1 | 1 | 2 | 1351 | 25 | 10 | 50.45% | 3657 | 440 | 438 | 4 | 0 | 0.37 | 12 | 35 |
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 | Andrei Vasilevskiy | 45 | 25 | 15 | 4 | 0.926 | 2.10 | 2686 | 0 | 2 | 94 | 1262 | 535 | 3 | 3 | 0.727 | 33 | 45 | 16 | 11 | 3 | 3 | |
2 | Petr Mrazek | 18 | 6 | 10 | 1 | 0.911 | 2.47 | 1022 | 0 | 0 | 42 | 471 | 191 | 1 | 0 | 0.667 | 3 | 16 | 45 | 1 | 2 | 1 | |
Team Total or Average | 63 | 31 | 25 | 5 | 0.922 | 2.20 | 3708 | 0 | 2 | 136 | 1733 | 726 | 4 | 3 | 0.722 | 36 | 61 | 61 | 12 | 5 | 4 |
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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 3 | 0 | 1 | 0 | 71 | 17 | 25 | 29 | 0 | 66 | 19 | 14 | 28 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 41 | 24 | 44 | 18 | 33 | 17 | 40.0% | 5.6% | 92.4% | 98.1 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 65 | 16 | 20 | 29 | 0 | 57 | 22 | 10 | 38 | 7 | 1 | 14.29% | 5 | 2 | 60.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 44 | 25 | 41 | 17 | 34 | 18 | 40.0% | 4.6% | 91.2% | 95.8 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 33 | 13 | 17 | 3 | 0 | 34 | 4 | 6 | 21 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 23 | 13 | 18 | 9 | 17 | 8 | 75.0% | 9.1% | 97.1% | 106.1 | LUCKY | |
4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.333 | 3 | 6 | 9 | 1 | 0 | 1 | 2 | 0 | 0 | 93 | 10 | 42 | 41 | 0 | 91 | 27 | 18 | 54 | 10 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 63 | 34 | 60 | 27 | 55 | 28 | 42.9% | 3.2% | 93.4% | 96.6 | DULL | |
5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 1 | 1 | 20 | 4 | 6 | 9 | 1 | 35 | 12 | 6 | 18 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 18 | 10 | 23 | 9 | 17 | 8 | 33.3% | 15.0% | 94.3% | 109.3 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 13 | 10 | 10 | 0 | 25 | 6 | 6 | 16 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 24 | 14 | 18 | 8 | 16 | 9 | 100.0% | 6.1% | 96.0% | 102.1 | DULL | |
7 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 3 | 0 | 1 | 55 | 14 | 22 | 19 | 2 | 56 | 19 | 18 | 50 | 7 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 45 | 24 | 43 | 18 | 36 | 18 | 80.0% | 7.3% | 96.4% | 103.7 | DULL | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 0 | 3 | 3 | 0 | 71 | 18 | 21 | 32 | 0 | 56 | 21 | 16 | 30 | 11 | 3 | 27.27% | 8 | 2 | 75.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 44 | 24 | 40 | 19 | 34 | 17 | 42.9% | 8.5% | 89.3% | 97.7 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 31 | 8 | 8 | 15 | 0 | 20 | 9 | 6 | 23 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 20 | 11 | 20 | 8 | 18 | 9 | 100.0% | 9.7% | 95.0% | 104.7 | LUCKY | |
10 | 4 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 7 | 11 | -4 | 2 | 0.250 | 7 | 14 | 21 | 0 | 0 | 3 | 1 | 3 | 1 | 122 | 42 | 37 | 43 | 4 | 132 | 46 | 20 | 73 | 9 | 4 | 44.44% | 10 | 3 | 70.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 85 | 50 | 90 | 35 | 69 | 34 | 27.3% | 5.7% | 91.7% | 97.4 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 4 | 10 | 12 | 0 | 23 | 6 | 8 | 23 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 20 | 11 | 21 | 9 | 17 | 9 | 100.0% | 7.7% | 95.7% | 103.3 | DULL | |
12 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 0.667 | 12 | 19 | 31 | 0 | 0 | 3 | 7 | 2 | 0 | 89 | 25 | 44 | 20 | 0 | 98 | 31 | 27 | 60 | 8 | 6 | 75.00% | 11 | 5 | 54.55% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 60 | 34 | 65 | 27 | 53 | 26 | 66.7% | 13.5% | 91.8% | 105.3 | LUCKY | |
13 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 4 | 8 | 0 | 0 | 1 | 2 | 0 | 1 | 59 | 19 | 23 | 17 | 3 | 50 | 13 | 10 | 31 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 42 | 23 | 44 | 19 | 37 | 19 | 60.0% | 6.8% | 96.0% | 102.8 | DULL | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 49 | 26 | 10 | 13 | 0 | 59 | 19 | 18 | 36 | 7 | 1 | 14.29% | 9 | 4 | 55.56% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 39 | 21 | 44 | 19 | 36 | 17 | 33.3% | 4.1% | 89.8% | 93.9 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 26 | 5 | 10 | 11 | 0 | 28 | 8 | 10 | 16 | 9 | 4 | 44.44% | 5 | 2 | 60.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 23 | 13 | 18 | 9 | 17 | 9 | 50.0% | 23.1% | 85.7% | 108.8 | FUN | |
16 | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 7 | 10 | -3 | 4 | 0.500 | 7 | 10 | 17 | 0 | 1 | 0 | 5 | 0 | 3 | 105 | 18 | 49 | 36 | 8 | 119 | 34 | 44 | 78 | 12 | 2 | 16.67% | 23 | 8 | 65.22% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 79 | 41 | 92 | 42 | 77 | 36 | 71.4% | 6.7% | 91.6% | 98.3 | DULL | |
17 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 4 | 0.400 | 9 | 13 | 22 | 0 | 0 | 1 | 1 | 7 | 0 | 142 | 46 | 48 | 48 | 0 | 125 | 38 | 46 | 87 | 16 | 3 | 18.75% | 23 | 9 | 60.87% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 103 | 59 | 105 | 47 | 90 | 42 | 66.7% | 6.3% | 90.4% | 96.7 | Unlucky | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 1 | 0 | 0 | 4 | 2 | 0 | 62 | 18 | 28 | 16 | 0 | 58 | 20 | 16 | 35 | 11 | 3 | 27.27% | 8 | 2 | 75.00% | 1 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 42 | 24 | 41 | 19 | 35 | 18 | 42.9% | 9.7% | 89.7% | 99.3 | FUN | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 34 | 6 | 5 | 21 | 5 | 20 | 14 | 6 | 18 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 21 | 11 | 22 | 10 | 21 | 10 | 100.0% | 5.9% | 95.0% | 100.9 | DULL | |
20 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 2 | 72 | 32 | 22 | 18 | 3 | 65 | 19 | 6 | 33 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 46 | 28 | 41 | 18 | 36 | 18 | 30.0% | 6.9% | 89.2% | 96.2 | Unlucky | |
21 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 1 | 29 | 7 | 6 | 16 | 2 | 28 | 9 | 11 | 18 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 23 | 12 | 19 | 9 | 22 | 11 | 60.0% | 10.3% | 92.9% | 103.2 | LUCKY | |
22 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 1 | 58 | 22 | 19 | 17 | 5 | 55 | 16 | 16 | 33 | 7 | 2 | 28.57% | 8 | 3 | 62.50% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 40 | 21 | 46 | 19 | 38 | 18 | 33.3% | 6.9% | 87.3% | 94.2 | Unlucky | |
23 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 2 | 31 | 14 | 11 | 6 | 3 | 33 | 8 | 10 | 19 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 23 | 13 | 21 | 10 | 19 | 9 | 100.0% | 6.5% | 97.0% | 103.4 | DULL | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 62 | 15 | 19 | 27 | 4 | 49 | 13 | 8 | 37 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 47 | 28 | 39 | 19 | 37 | 18 | 50.0% | 8.1% | 91.8% | 99.9 | DULL | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 33 | 11 | 13 | 9 | 0 | 30 | 14 | 11 | 17 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 21 | 12 | 21 | 8 | 17 | 8 | 75.0% | 9.1% | 96.7% | 105.8 | LUCKY | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 55 | 23 | 10 | 22 | 0 | 45 | 15 | 8 | 43 | 7 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 41 | 21 | 40 | 19 | 38 | 19 | 42.9% | 5.5% | 91.1% | 96.6 | Unlucky | |
27 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 0 | 3 | 0 | 54 | 18 | 19 | 17 | 0 | 54 | 14 | 12 | 32 | 10 | 3 | 30.00% | 6 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 43 | 24 | 39 | 18 | 36 | 18 | 33.3% | 9.3% | 92.6% | 101.9 | LUCKY | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 3 | 0 | 4 | 0 | 61 | 16 | 20 | 25 | 0 | 60 | 17 | 22 | 34 | 14 | 4 | 28.57% | 5 | 4 | 20.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 45 | 24 | 39 | 18 | 35 | 19 | 37.5% | 11.5% | 85.0% | 96.5 | FUN | |
29 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.333 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 86 | 26 | 28 | 32 | 0 | 88 | 30 | 28 | 64 | 11 | 2 | 18.18% | 14 | 4 | 71.43% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 62 | 34 | 63 | 29 | 54 | 25 | 40.0% | 4.7% | 92.0% | 96.7 | DULL | |
30 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.333 | 4 | 6 | 10 | 1 | 1 | 3 | 0 | 1 | 0 | 88 | 31 | 32 | 25 | 0 | 77 | 22 | 30 | 58 | 8 | 1 | 12.50% | 15 | 2 | 86.67% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 66 | 37 | 60 | 29 | 53 | 23 | 37.5% | 4.5% | 90.9% | 95.5 | Unlucky | |
_Vs Division | 19 | 4 | 10 | 0 | 1 | 1 | 1 | 2 | 36 | 49 | -13 | 15 | 0.395 | 36 | 62 | 98 | 0 | 1 | 6 | 12 | 16 | 4 | 551 | 165 | 184 | 199 | 16 | 540 | 171 | 152 | 341 | 62 | 14 | 22.58% | 77 | 26 | 66.23% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 400 | 225 | 412 | 183 | 346 | 166 | 48.9% | 6.5% | 90.9% | 97.5 | Unlucky | |
_Vs Conference | 39 | 12 | 21 | 0 | 1 | 1 | 1 | 3 | 76 | 99 | -23 | 32 | 0.410 | 76 | 127 | 203 | 3 | 2 | 18 | 28 | 28 | 6 | 1161 | 346 | 410 | 402 | 19 | 1119 | 357 | 295 | 726 | 132 | 29 | 21.97% | 146 | 43 | 70.55% | 1 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 829 | 466 | 827 | 370 | 708 | 345 | 45.6% | 6.5% | 91.2% | 97.7 | DULL | |
_Since Last GM Reset | 61 | 23 | 25 | 0 | 2 | 1 | 6 | 4 | 133 | 143 | -10 | 67 | 0.549 | 133 | 213 | 346 | 3 | 2 | 31 | 49 | 45 | 14 | 1815 | 537 | 634 | 638 | 40 | 1736 | 545 | 467 | 1123 | 218 | 48 | 22.02% | 222 | 60 | 72.97% | 1 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 1309 | 734 | 1291 | 577 | 1114 | 551 | 50.6% | 7.3% | 91.8% | 99.1 | DULL | |
Total | 61 | 23 | 25 | 0 | 2 | 1 | 6 | 4 | 133 | 143 | -10 | 67 | 0.549 | 133 | 213 | 346 | 3 | 2 | 31 | 49 | 45 | 14 | 1815 | 537 | 634 | 638 | 40 | 1736 | 545 | 467 | 1123 | 218 | 48 | 22.02% | 222 | 60 | 72.97% | 1 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 1309 | 734 | 1291 | 577 | 1114 | 551 | 50.6% | 7.3% | 91.8% | 99.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1426 |
Neutral Zone Start | 788 |
Defensive Zone Start | 1443 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1845 |
Faceoffs Lost | 1812 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.8 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 29.7 | 30.68 |
Overtime | 30.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 81 |
---|---|
PP Goal | 48 |
PK Goal | 1 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 16 | 15 |
Lost | 11 | 14 |
Overtime Lost | 3 | 2 |
PP Attempt | 218 |
---|---|
PP Goal | 48 |
PK Attempt | 222 |
PK Goal Against | 60 |
Home | |
---|---|
Shots For | 29.8 |
Shots Against | 28.5 |
Goals For | 2.2 |
Goals Against | 2.3 |
Hits | 18.4 |
Shots Blocked | 8.9 |
Pim | 7.7 |
Projected Total Cap Hit | 65,580,833$ |
Projected Cap Space | 15,919,167$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 50,419,655$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Blackhawks Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Texier ![]() | C/LW/RW | 20 | 897,500$ | 897,500$ | 897,500$ | ||||||
Andre Burakovsky ![]() | LW/RW | 24 | 3,250,000$ | 3,250,000$ | |||||||
Andrei Vasilevskiy ![]() | G | 25 | 3,500,000$ | 3,500,000$ | |||||||
Brenden Dillon ![]() | D | 28 | 3,270,000$ | 3,270,000$ | |||||||
Carl Soderberg ![]() | C | 33 | 4,750,000$ | 4,750,000$ | |||||||
Charles Hudon ![]() | LW | 25 | 800,000$ | 800,000$ | |||||||
Deryk Engelland ![]() | D | 37 | 700,000$ | 700,000$ | |||||||
Dominik Simon ![]() | C/LW/RW | 25 | 925,000$ | 925,000$ | |||||||
Evgenii Dadonov ![]() | LW/RW | 30 | 4,000,000$ | 4,000,000$ | |||||||
Gaetan Haas ![]() | C | 27 | 925,000$ | 925,000$ | |||||||
Joakim Nordstrom ![]() | C/LW | 27 | 1,000,000$ | 1,000,000$ | |||||||
Joel Hanley ![]() | D | 28 | 700,000$ | 700,000$ | 700,000$ | ||||||
Johnny Boychuk ![]() | D | 35 | 6,000,000$ | 6,000,000$ | |||||||
Justin Kloos ![]() | C | 25 | 700,000$ | 700,000$ | |||||||
Marc Staal ![]() | D | 32 | 5,700,000$ | 5,700,000$ | |||||||
Mathew Barzal ![]() | C | 22 | 863,333$ | 863,333$ | |||||||
Matt Martin ![]() | LW | 30 | 2,500,000$ | 2,500,000$ | |||||||
Nico Hischier ![]() | C | 20 | 3,775,000$ | 3,775,000$ | |||||||
Nikita Zaitsev ![]() | D | 27 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||
Noah Hanifin ![]() | D | 22 | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | |||
Patric Hornqvist ![]() | RW | 32 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | |||||
Petr Mrazek ![]() | G | 27 | 3,125,000$ | 3,125,000$ | 3,125,000$ | ||||||
Valtteri Filppula ![]() | C | 35 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Zach Sanford ![]() | LW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ |
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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 |
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1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 3 | 0 | 1 | 0 | 71 | 17 | 25 | 29 | 0 | 66 | 19 | 14 | 28 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 41 | 24 | 44 | 18 | 33 | 17 | 40.0% | 5.6% | 92.4% | 98.1 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 65 | 16 | 20 | 29 | 0 | 57 | 22 | 10 | 38 | 7 | 1 | 14.29% | 5 | 2 | 60.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 44 | 25 | 41 | 17 | 34 | 18 | 40.0% | 4.6% | 91.2% | 95.8 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 33 | 13 | 17 | 3 | 0 | 34 | 4 | 6 | 21 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 23 | 13 | 18 | 9 | 17 | 8 | 75.0% | 9.1% | 97.1% | 106.1 | LUCKY | |
4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.333 | 3 | 6 | 9 | 1 | 0 | 1 | 2 | 0 | 0 | 93 | 10 | 42 | 41 | 0 | 91 | 27 | 18 | 54 | 10 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 63 | 34 | 60 | 27 | 55 | 28 | 42.9% | 3.2% | 93.4% | 96.6 | DULL | |
5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 1 | 1 | 20 | 4 | 6 | 9 | 1 | 35 | 12 | 6 | 18 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 18 | 10 | 23 | 9 | 17 | 8 | 33.3% | 15.0% | 94.3% | 109.3 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 13 | 10 | 10 | 0 | 25 | 6 | 6 | 16 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 24 | 14 | 18 | 8 | 16 | 9 | 100.0% | 6.1% | 96.0% | 102.1 | DULL | |
7 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 3 | 0 | 1 | 55 | 14 | 22 | 19 | 2 | 56 | 19 | 18 | 50 | 7 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 45 | 24 | 43 | 18 | 36 | 18 | 80.0% | 7.3% | 96.4% | 103.7 | DULL | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 0 | 3 | 3 | 0 | 71 | 18 | 21 | 32 | 0 | 56 | 21 | 16 | 30 | 11 | 3 | 27.27% | 8 | 2 | 75.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 44 | 24 | 40 | 19 | 34 | 17 | 42.9% | 8.5% | 89.3% | 97.7 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 31 | 8 | 8 | 15 | 0 | 20 | 9 | 6 | 23 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 20 | 11 | 20 | 8 | 18 | 9 | 100.0% | 9.7% | 95.0% | 104.7 | LUCKY | |
10 | 4 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 7 | 11 | -4 | 2 | 0.250 | 7 | 14 | 21 | 0 | 0 | 3 | 1 | 3 | 1 | 122 | 42 | 37 | 43 | 4 | 132 | 46 | 20 | 73 | 9 | 4 | 44.44% | 10 | 3 | 70.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 85 | 50 | 90 | 35 | 69 | 34 | 27.3% | 5.7% | 91.7% | 97.4 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 4 | 10 | 12 | 0 | 23 | 6 | 8 | 23 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 20 | 11 | 21 | 9 | 17 | 9 | 100.0% | 7.7% | 95.7% | 103.3 | DULL | |
12 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 0.667 | 12 | 19 | 31 | 0 | 0 | 3 | 7 | 2 | 0 | 89 | 25 | 44 | 20 | 0 | 98 | 31 | 27 | 60 | 8 | 6 | 75.00% | 11 | 5 | 54.55% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 60 | 34 | 65 | 27 | 53 | 26 | 66.7% | 13.5% | 91.8% | 105.3 | LUCKY | |
13 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 4 | 8 | 0 | 0 | 1 | 2 | 0 | 1 | 59 | 19 | 23 | 17 | 3 | 50 | 13 | 10 | 31 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 42 | 23 | 44 | 19 | 37 | 19 | 60.0% | 6.8% | 96.0% | 102.8 | DULL | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 49 | 26 | 10 | 13 | 0 | 59 | 19 | 18 | 36 | 7 | 1 | 14.29% | 9 | 4 | 55.56% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 39 | 21 | 44 | 19 | 36 | 17 | 33.3% | 4.1% | 89.8% | 93.9 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 26 | 5 | 10 | 11 | 0 | 28 | 8 | 10 | 16 | 9 | 4 | 44.44% | 5 | 2 | 60.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 23 | 13 | 18 | 9 | 17 | 9 | 50.0% | 23.1% | 85.7% | 108.8 | FUN | |
16 | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 7 | 10 | -3 | 4 | 0.500 | 7 | 10 | 17 | 0 | 1 | 0 | 5 | 0 | 3 | 105 | 18 | 49 | 36 | 8 | 119 | 34 | 44 | 78 | 12 | 2 | 16.67% | 23 | 8 | 65.22% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 79 | 41 | 92 | 42 | 77 | 36 | 71.4% | 6.7% | 91.6% | 98.3 | DULL | |
17 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 4 | 0.400 | 9 | 13 | 22 | 0 | 0 | 1 | 1 | 7 | 0 | 142 | 46 | 48 | 48 | 0 | 125 | 38 | 46 | 87 | 16 | 3 | 18.75% | 23 | 9 | 60.87% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 103 | 59 | 105 | 47 | 90 | 42 | 66.7% | 6.3% | 90.4% | 96.7 | Unlucky | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 1 | 0 | 0 | 4 | 2 | 0 | 62 | 18 | 28 | 16 | 0 | 58 | 20 | 16 | 35 | 11 | 3 | 27.27% | 8 | 2 | 75.00% | 1 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 42 | 24 | 41 | 19 | 35 | 18 | 42.9% | 9.7% | 89.7% | 99.3 | FUN | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 34 | 6 | 5 | 21 | 5 | 20 | 14 | 6 | 18 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 21 | 11 | 22 | 10 | 21 | 10 | 100.0% | 5.9% | 95.0% | 100.9 | DULL | |
20 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 2 | 72 | 32 | 22 | 18 | 3 | 65 | 19 | 6 | 33 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 46 | 28 | 41 | 18 | 36 | 18 | 30.0% | 6.9% | 89.2% | 96.2 | Unlucky | |
21 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 1 | 29 | 7 | 6 | 16 | 2 | 28 | 9 | 11 | 18 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 23 | 12 | 19 | 9 | 22 | 11 | 60.0% | 10.3% | 92.9% | 103.2 | LUCKY | |
22 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 1 | 58 | 22 | 19 | 17 | 5 | 55 | 16 | 16 | 33 | 7 | 2 | 28.57% | 8 | 3 | 62.50% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 40 | 21 | 46 | 19 | 38 | 18 | 33.3% | 6.9% | 87.3% | 94.2 | Unlucky | |
23 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 2 | 31 | 14 | 11 | 6 | 3 | 33 | 8 | 10 | 19 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 23 | 13 | 21 | 10 | 19 | 9 | 100.0% | 6.5% | 97.0% | 103.4 | DULL | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 62 | 15 | 19 | 27 | 4 | 49 | 13 | 8 | 37 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 47 | 28 | 39 | 19 | 37 | 18 | 50.0% | 8.1% | 91.8% | 99.9 | DULL | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 33 | 11 | 13 | 9 | 0 | 30 | 14 | 11 | 17 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 21 | 12 | 21 | 8 | 17 | 8 | 75.0% | 9.1% | 96.7% | 105.8 | LUCKY | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 55 | 23 | 10 | 22 | 0 | 45 | 15 | 8 | 43 | 7 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 41 | 21 | 40 | 19 | 38 | 19 | 42.9% | 5.5% | 91.1% | 96.6 | Unlucky | |
27 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 0 | 3 | 0 | 54 | 18 | 19 | 17 | 0 | 54 | 14 | 12 | 32 | 10 | 3 | 30.00% | 6 | 0 | 100.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 43 | 24 | 39 | 18 | 36 | 18 | 33.3% | 9.3% | 92.6% | 101.9 | LUCKY | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 3 | 0 | 4 | 0 | 61 | 16 | 20 | 25 | 0 | 60 | 17 | 22 | 34 | 14 | 4 | 28.57% | 5 | 4 | 20.00% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 45 | 24 | 39 | 18 | 35 | 19 | 37.5% | 11.5% | 85.0% | 96.5 | FUN | |
29 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.333 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 86 | 26 | 28 | 32 | 0 | 88 | 30 | 28 | 64 | 11 | 2 | 18.18% | 14 | 4 | 71.43% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 62 | 34 | 63 | 29 | 54 | 25 | 40.0% | 4.7% | 92.0% | 96.7 | DULL | |
30 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.333 | 4 | 6 | 10 | 1 | 1 | 3 | 0 | 1 | 0 | 88 | 31 | 32 | 25 | 0 | 77 | 22 | 30 | 58 | 8 | 1 | 12.50% | 15 | 2 | 86.67% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 66 | 37 | 60 | 29 | 53 | 23 | 37.5% | 4.5% | 90.9% | 95.5 | Unlucky | |
_Vs Division | 19 | 4 | 10 | 0 | 1 | 1 | 1 | 2 | 36 | 49 | -13 | 15 | 0.395 | 36 | 62 | 98 | 0 | 1 | 6 | 12 | 16 | 4 | 551 | 165 | 184 | 199 | 16 | 540 | 171 | 152 | 341 | 62 | 14 | 22.58% | 77 | 26 | 66.23% | 0 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 400 | 225 | 412 | 183 | 346 | 166 | 48.9% | 6.5% | 90.9% | 97.5 | Unlucky | |
_Vs Conference | 39 | 12 | 21 | 0 | 1 | 1 | 1 | 3 | 76 | 99 | -23 | 32 | 0.410 | 76 | 127 | 203 | 3 | 2 | 18 | 28 | 28 | 6 | 1161 | 346 | 410 | 402 | 19 | 1119 | 357 | 295 | 726 | 132 | 29 | 21.97% | 146 | 43 | 70.55% | 1 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 829 | 466 | 827 | 370 | 708 | 345 | 45.6% | 6.5% | 91.2% | 97.7 | DULL | |
_Since Last GM Reset | 61 | 23 | 25 | 0 | 2 | 1 | 6 | 4 | 133 | 143 | -10 | 67 | 0.549 | 133 | 213 | 346 | 3 | 2 | 31 | 49 | 45 | 14 | 1815 | 537 | 634 | 638 | 40 | 1736 | 545 | 467 | 1123 | 218 | 48 | 22.02% | 222 | 60 | 72.97% | 1 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 1309 | 734 | 1291 | 577 | 1114 | 551 | 50.6% | 7.3% | 91.8% | 99.1 | DULL | |
Total | 61 | 23 | 25 | 0 | 2 | 1 | 6 | 4 | 133 | 143 | -10 | 67 | 0.549 | 133 | 213 | 346 | 3 | 2 | 31 | 49 | 45 | 14 | 1815 | 537 | 634 | 638 | 40 | 1736 | 545 | 467 | 1123 | 218 | 48 | 22.02% | 222 | 60 | 72.97% | 1 | 697 | 1426 | 48.88% | 732 | 1443 | 50.73% | 416 | 788 | 52.79% | 1309 | 734 | 1291 | 577 | 1114 | 551 | 50.6% | 7.3% | 91.8% | 99.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1426 |
Neutral Zone Start | 788 |
Defensive Zone Start | 1443 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1845 |
Faceoffs Lost | 1812 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.8 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 29.7 | 30.68 |
Overtime | 30.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 81 |
---|---|
PP Goal | 48 |
PK Goal | 1 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 16 | 15 |
Lost | 11 | 14 |
Overtime Lost | 3 | 2 |
PP Attempt | 218 |
---|---|
PP Goal | 48 |
PK Attempt | 222 |
PK Goal Against | 60 |
Home | |
---|---|
Shots For | 29.8 |
Shots Against | 28.5 |
Goals For | 2.2 |
Goals Against | 2.3 |
Hits | 18.4 |
Shots Blocked | 8.9 |
Pim | 7.7 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-26 | @ | Blackhawks2,Flyers1 | RECAP | ||
2020-11-01 | @ | Sharks3,Blackhawks2 | RECAP | ||
2020-11-03 | @ | Jets1,Blackhawks3 | RECAP | ||
2020-11-05 | @ | Oilers4,Blackhawks2 | RECAP | ||
2020-11-09 | @ | Blue Jackets3,Blackhawks2 (SO) | RECAP | ||
2020-11-11 | @ | Capitals1,Blackhawks2 | RECAP | ||
2020-11-13 | @ | Golden Knights3,Blackhawks1 | RECAP | ||
2020-11-15 | @ | Flyers1,Blackhawks2 (SO) | RECAP | ||
2020-11-17 | @ | Blackhawks4,Hurricanes2 | RECAP | ||
2020-11-18 | @ | Kings1,Blackhawks2 | RECAP | ||
2020-11-20 | @ | Blackhawks1,Predators3 | RECAP | ||
2020-11-24 | @ | Blackhawks1,Kings3 | RECAP | ||
2020-11-25 | @ | Blackhawks1,Ducks4 | RECAP | ||
2020-11-27 | @ | Blackhawks3,Sharks4 (SO) | RECAP | ||
2020-11-29 | @ | Canucks2,Blackhawks6 | RECAP | ||
2020-12-01 | @ | Blackhawks6,Penguins4 | RECAP | ||
2020-12-02 | @ | Maple Leafs1,Blackhawks2 | RECAP | ||
2020-12-05 | @ | Blackhawks1,Golden Knights0 | RECAP | ||
2020-12-08 | @ | Blackhawks3,Predators2 (SO) | RECAP | ||
2020-12-09 | @ | Sabres1,Blackhawks2 (SO) | RECAP | ||
2020-12-11 | @ | Hurricanes7,Blackhawks3 | RECAP | ||
2020-12-13 | @ | Lightning1,Blackhawks3 | RECAP | ||
2020-12-15 | @ | Blackhawks0,Stars1 | RECAP | ||
2020-12-18 | @ | Stars5,Blackhawks2 | RECAP | ||
2020-12-21 | @ | Avalanche4,Blackhawks3 (OT) | RECAP | ||
2020-12-22 | @ | Blackhawks2,Avalanche3 | RECAP | ||
2020-12-24 | @ | Blues3,Blackhawks5 | RECAP | ||
2020-12-27 | @ | Blackhawks2,Bruins1 | RECAP | ||
2020-12-28 | @ | Blackhawks4,Devils2 | RECAP | ||
2020-12-30 | @ | Coyotes1,Blackhawks2 | RECAP | ||
2021-01-01 | @ | Blackhawks2,Golden Knights4 | RECAP | ||
2021-01-03 | @ | Blackhawks1,Coyotes3 | RECAP | ||
2021-01-05 | @ | Blackhawks1,Blues3 | RECAP | ||
2021-01-06 | @ | Wild3,Blackhawks2 (SO) | RECAP | ||
2021-01-09 | @ | Avalanche2,Blackhawks1 | RECAP | ||
2021-01-10 | @ | Blackhawks2,Jets1 | RECAP | ||
2021-01-12 | @ | Blackhawks1,Avalanche2 (SO) | RECAP | ||
2021-01-14 | @ | Devils2,Blackhawks1 | RECAP | ||
2021-01-18 | @ | Islanders2,Blackhawks3 (OT) | RECAP | ||
2021-01-20 | @ | Blackhawks2,Blue Jackets4 | RECAP | ||
2021-01-22 | @ | Blackhawks1,Flames3 | RECAP | ||
2021-01-24 | @ | Blackhawks2,Canucks4 | RECAP | ||
2021-01-27 | @ | Red Wings1,Blackhawks2 | RECAP | ||
2021-01-29 | @ | Flames3,Blackhawks0 | RECAP | ||
2021-01-31 | @ | Predators5,Blackhawks2 | RECAP | ||
2021-02-02 | @ | Ducks1,Blackhawks2 | RECAP | ||
2021-02-05 | @ | Blackhawks3,Senators1 | RECAP | ||
2021-02-06 | @ | Blackhawks3,Canadiens1 | RECAP | ||
2021-02-09 | @ | Blackhawks2,Maple Leafs1 (SO) | RECAP | ||
2021-02-10 | @ | Jets3,Blackhawks1 | RECAP | ||
2021-02-12 | @ | Panthers1,Blackhawks2 (SO) | RECAP | ||
2021-02-23 | @ | Blackhawks0,Coyotes2 | RECAP | ||
2021-02-26 | @ | Blackhawks3,Wild1 | RECAP | ||
2021-02-27 | @ | Bruins4,Blackhawks2 | RECAP | ||
2021-03-03 | @ | Blackhawks2,Jets5 | RECAP | ||
2021-03-05 | @ | Blackhawks4,Oilers2 | RECAP | ||
2021-03-06 | @ | Blackhawks4,Canucks2 | RECAP | ||
2021-03-09 | @ | Blackhawks3,Flames1 | RECAP | ||
2021-03-10 | @ | Blackhawks1,Jets2 | RECAP | ||
2021-03-13 | @ | Rangers2,Blackhawks3 (SO) | RECAP | ||
2021-03-15 | @ | Predators0,Blackhawks1 (OT) | RECAP | ||
2021-03-17 | @ | ||||
2021-03-19 | @ | ||||
2021-03-21 | @ | ||||
2021-03-23 | @ | ||||
2021-03-26 | @ | ||||
2021-03-28 | @ | ||||
2021-03-29 | @ | ||||
2021-03-31 | @ | ||||
2021-04-03 | @ | ||||
2021-04-05 | @ | ||||
2021-04-06 | @ | ||||
2021-04-09 | @ | ||||
2021-04-11 | @ | ||||
2021-04-13 | @ | ||||
2021-04-14 | @ | ||||
2021-04-17 | @ | ||||
2021-04-19 | @ | ||||
2021-04-21 | @ | ||||
2021-04-23 | @ | ||||
2021-04-25 | @ | ||||
2021-04-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
65,580,833$ | 0$ | 65,580,833$ | 15,919,167$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | United Center | |
City | Chicago | ||
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 | 168862 | 142376 | 56352 | 111320 | 28273 |
Attendance PCT | 93.81% | 94.92% | 93.92% | 92.77% | 94.24% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
11 | 16906 - 93.92% | 609,257$ | 18,277,724$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
65,580,833$ | 65,580,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
50,419,655$ | 65,580,833$ | 50,419,655$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
6,701,832$ | 43 | 352,585$ | 15,161,155$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
15,161,155$ | 65,580,833$ | -331,134,567$ | -339,593,890$ |
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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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 chi 2021 | |||||
2 ballo chi 2021 | |||||
Adam Parsells | |||||
Alexandr Darin | 2019 | 117 | |||
Anthony Salinitri | 2016 | 184 | |||
Anton Rodin | |||||
Arsen Khisamutdinov | 2019 | 179 | |||
Axel Jonsson-Fjallby | 2016 | 157 | |||
Braden Schneider | 2020 | 20 | |||
Brandon Duhaime | 2016 | 124 | |||
Calle Sjalin | |||||
Carson Focht | 2019 | 148 | |||
Chandler Yakimovicz | |||||
Daniil Tarasov | |||||
Dmitry Voronkov | 2019 | 128 | |||
Eamon Mcadam | |||||
Emil Johansson | |||||
Fedor Gordeev | |||||
Filip Barklund | 2020 | 175 | |||
Filip Kral | 2018 | 165 | |||
Filip Westerlund | |||||
Frederik Olofsson | |||||
Fredrik Bergvik | |||||
Giovanni Vallati | 2018 | 161 | |||
Grant Mismash | |||||
Hunter Drew | 2018 | 196 | |||
Ian Mitchell | |||||
Ilya Konovalov | 2019 | 86 | |||
Jackson Perbix | 2018 | 134 | |||
Jacob Truscott | 2020 | 144 | |||
Jaromir Jagr | |||||
Jaromir Pytlik | 2020 | 113 | |||
Jay O'Brien | 2018 | 41 | |||
Jean Luc Foudy | 2020 | 72 | |||
Jedd Soleway | |||||
Jonas Rondbjerb | |||||
Joseph Masonius | 2016 | 193 | |||
Josh Nodler | 2019 | 159 | |||
Justin Falk | Link | ||||
Justin Sourdif | 2020 | 82 | |||
Kevan Miller | Link | ||||
Lauri Pajuniemi | 2018 | 146 | |||
Linus Oberg | 2020 | 206 | |||
Luc Snuggerud | |||||
Ludvig Bystrom | |||||
Martins Dzierkals | |||||
Nick Moutrey | |||||
Niklas Treutle | |||||
Olle Lycksell | |||||
Pavel Datsyuk | |||||
Riley Bruce | |||||
Rourke Chartier | Link | ||||
Ruslan Iskhakov | 2018 | 52 | |||
Ryan O'Rourke | 2020 | 51 | |||
Sam Ruopp | |||||
Scott Gomez | |||||
Terrance Amorosa | |||||
Troy Bourke | |||||
Zane McIntyre | |||||
henri kiviaho | |||||
samuel fejes |
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