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Full Scoreboard » |
Chicago Blackhawks 32-29-6, 70pts · 11th in Western Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 97 | LW | 100.00 | 69 | 34 | 82 | 87 | 71 | 92 | 86 | 89 | 56 | 83 | 91 | 66 | 88 | 68 | 76 | 48 | 75 | 0 | 27 | 9,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 38 | 79 | 74 | 66 | 90 | 88 | 72 | 64 | 65 | 70 | 63 | 71 | 65 | 67 | 73 | 75 | 0 | 24 | 1,100,000$/1yrs | |||
![]() | 37 | C | 100.00 | 71 | 36 | 80 | 70 | 64 | 80 | 87 | 65 | 80 | 68 | 63 | 78 | 66 | 69 | 71 | 37 | 75 | 0 | 27 | 1,850,000$/2yrs | |||
![]() | 29 | C/RW | 100.00 | 66 | 35 | 85 | 91 | 74 | 93 | 89 | 90 | 75 | 95 | 91 | 67 | 92 | 78 | 80 | 74 | 75 | 0 | 29 | 12,600,000$/7yrs | |||
![]() | 78 | LW | 100.00 | 65 | 40 | 84 | 69 | 76 | 85 | 78 | 71 | 61 | 64 | 70 | 62 | 72 | 64 | 66 | 63 | 75 | 0 | 24 | 1,835,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 75 | 43 | 89 | 66 | 83 | 82 | 89 | 64 | 57 | 65 | 62 | 76 | 63 | 70 | 67 | 66 | 75 | 0 | 27 | 1,125,000$/1yrs | |||
![]() | 73 | LW/RW | 100.00 | 64 | 33 | 93 | 72 | 64 | 83 | 86 | 67 | 59 | 69 | 64 | 77 | 65 | 76 | 73 | 27 | 75 | 0 | 32 | 2,000,000$/2yrs | |||
![]() | 13 | C/RW | 100.00 | 64 | 35 | 86 | 88 | 75 | 90 | 87 | 84 | 73 | 86 | 74 | 65 | 83 | 70 | 76 | 71 | 75 | 0 | 27 | 8,750,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 69 | 34 | 93 | 73 | 68 | 86 | 87 | 72 | 59 | 70 | 66 | 65 | 69 | 71 | 70 | 68 | 75 | 0 | 27 | 2,000,000$/1yrs | |||
![]() | 24 | C/LW/RW | 100.00 | 77 | 37 | 79 | 75 | 85 | 90 | 89 | 74 | 80 | 79 | 78 | 89 | 73 | 70 | 72 | 70 | 75 | 0 | 28 | 5,250,000$/5yrs | |||
![]() | 67 | LW/RW | 100.00 | 81 | 77 | 86 | 75 | 89 | 88 | 89 | 74 | 56 | 70 | 75 | 83 | 72 | 71 | 70 | 73 | 75 | 0 | 27 | 4,300,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 82 | 45 | 82 | 67 | 81 | 85 | 89 | 66 | 75 | 60 | 65 | 82 | 68 | 70 | 72 | 60 | 75 | 0 | 28 | 1,800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 43 | 81 | 65 | 88 | 83 | 84 | 64 | 30 | 67 | 58 | 66 | 52 | 61 | 62 | 88 | 75 | 0 | 21 | 925,000$/1yrs | |||
![]() | 5 | D | 100.00 | 73 | 36 | 86 | 65 | 78 | 90 | 77 | 61 | 30 | 76 | 52 | 86 | 50 | 73 | 70 | 39 | 75 | 0 | 30 | 1,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 75 | 70 | 64 | 91 | 90 | 89 | 63 | 30 | 73 | 61 | 85 | 53 | 84 | 75 | 23 | 75 | 0 | 34 | 4,000,000$/3yrs | |||
![]() | 8 | D | 100.00 | 67 | 34 | 90 | 85 | 72 | 95 | 86 | 82 | 30 | 95 | 81 | 93 | 63 | 68 | 70 | 85 | 75 | 0 | 26 | 8,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 63 | 35 | 86 | 67 | 76 | 87 | 76 | 66 | 30 | 71 | 60 | 74 | 53 | 66 | 68 | 81 | 75 | 0 | 26 | 1,750,000$/2yrs | |||
![]() | 21 | D | 100.00 | 76 | 74 | 78 | 64 | 91 | 87 | 82 | 61 | 30 | 70 | 57 | 81 | 50 | 72 | 70 | 45 | 75 | 0 | 30 | 3,250,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 87 | 42 | 83 | 56 | 96 | 65 | 81 | 53 | 30 | 55 | 54 | 58 | 45 | 65 | 67 | 42 | 75 | 0 | 26 | ||||
TEAM AVERAGE | 100.00 | 72 | 43 | 84 | 72 | 78 | 86 | 85 | 70 | 53 | 73 | 68 | 75 | 66 | 70 | 71 | 60 | 75 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 100.00 | 91 | 79 | 73 | 94 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 85 | 89 | 50 | 75 | 0 | 35 | 4,000,000$/1yrs |
![]() | 0 | 100.00 | 93 | 82 | 77 | 89 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 70 | 81 | 54 | 75 | 0 | 28 | 4,900,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 92 | 81 | 75 | 92 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 78 | 85 | 52 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Sheldon Keefe | 88 | 89 | 94 | 84 | 66 | 61 | 82 | CAN | 44 | 3 | 4,000,000$ |
General Manager | Alex Farrell |
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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 | Nathan MacKinnon | 29 | C/RW | 67 | 38 | 43 | 81 | 6 | 12 | 0 | 71 | 328 | 94 | 216 | 11.59% | 6 | 21.69 | 9 | 16 | 25 | 215 | 2 | 0 | 2 | 67 | 5 | 4 | 50.85% | 1931 | 0 | 0 | 0 | 2 | 1.11 | 0 | 2 | ||
2 | Kirill Kaprizov | 97 | LW | 67 | 35 | 44 | 79 | 33 | 20 | 0 | 80 | 309 | 87 | 250 | 11.33% | 12 | 20.16 | 4 | 6 | 10 | 221 | 0 | 0 | 0 | 47 | 5 | 2 | 29.87% | 77 | 0 | 0 | 0 | 1 | 1.17 | 1 | 2 | ||
3 | Joel Eriksson Ek | 24 | C/LW/RW | 67 | 33 | 41 | 74 | 24 | 38 | 0 | 141 | 247 | 76 | 197 | 13.36% | 23 | 19.63 | 6 | 8 | 14 | 203 | 1 | 0 | 1 | 166 | 4 | 1 | 51.24% | 1573 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 | ||
4 | Cale Makar | 8 | D | 64 | 12 | 55 | 67 | -1 | 26 | 0 | 36 | 147 | 46 | 94 | 8.16% | 82 | 22.00 | 5 | 16 | 21 | 197 | 0 | 0 | 0 | 62 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | ||
5 | Lawson Crouse | 67 | LW/RW | 67 | 21 | 25 | 46 | -3 | 66 | 10 | 151 | 207 | 50 | 154 | 10.14% | 20 | 19.55 | 5 | 7 | 12 | 171 | 1 | 0 | 1 | 161 | 6 | 0 | 39.58% | 96 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
6 | Mathew Barzal | 13 | C/RW | 55 | 14 | 27 | 41 | -1 | 8 | 0 | 41 | 154 | 47 | 112 | 9.09% | 5 | 19.10 | 4 | 5 | 9 | 162 | 0 | 0 | 0 | 16 | 3 | 1 | 43.64% | 220 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | ||
7 | Matt Benning | 5 | D | 67 | 5 | 25 | 30 | -7 | 42 | 0 | 103 | 76 | 18 | 42 | 6.58% | 72 | 19.12 | 2 | 8 | 10 | 195 | 0 | 0 | 0 | 109 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
8 | Nils Hoglander | 0 | LW/RW | 66 | 6 | 15 | 21 | -9 | 27 | 5 | 53 | 128 | 24 | 72 | 4.69% | 2 | 13.07 | 1 | 2 | 3 | 145 | 0 | 0 | 0 | 9 | 2 | 0 | 28.30% | 53 | 0 | 0 | 0 | 0 | 0.49 | 2 | 4 | ||
9 | Carson Soucy | 21 | D | 67 | 2 | 19 | 21 | 2 | 32 | 0 | 85 | 35 | 16 | 34 | 5.71% | 81 | 18.90 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 174 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
10 | Jake Bean | 0 | D | 67 | 1 | 15 | 16 | 8 | 16 | 0 | 50 | 29 | 14 | 24 | 3.45% | 60 | 14.94 | 0 | 1 | 1 | 28 | 0 | 1 | 1 | 132 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
11 | Brenden Dillon | 0 | D | 67 | 4 | 11 | 15 | 7 | 111 | 5 | 147 | 39 | 15 | 25 | 10.26% | 87 | 19.15 | 2 | 0 | 2 | 43 | 0 | 1 | 1 | 170 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.23 | 0 | 0 | ||
12 | Yakov Trenin | 0 | C/LW/RW | 67 | 4 | 10 | 14 | -9 | 44 | 0 | 99 | 106 | 25 | 80 | 3.77% | 5 | 12.26 | 1 | 1 | 2 | 135 | 0 | 0 | 0 | 0 | 0 | 0 | 49.86% | 710 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
13 | Blake Lizotte | 37 | C | 67 | 6 | 7 | 13 | -9 | 10 | 0 | 28 | 65 | 21 | 44 | 9.23% | 4 | 10.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 1 | 0 | 46.50% | 200 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
14 | Anthony Beauvillier | 0 | LW | 67 | 2 | 6 | 8 | -5 | 0 | 0 | 5 | 35 | 7 | 42 | 5.71% | 2 | 4.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 33 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
15 | Christian Fischer | 0 | RW | 67 | 2 | 5 | 7 | -17 | 24 | 0 | 39 | 51 | 12 | 33 | 3.92% | 2 | 7.61 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 40.94% | 447 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
16 | Conor Sheary | 73 | LW/RW | 67 | 5 | 1 | 6 | -16 | 4 | 0 | 13 | 44 | 24 | 33 | 11.36% | 8 | 7.40 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 30 | 0 | 1 | 41.67% | 24 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
17 | David Jiricek | 0 | D | 18 | 0 | 3 | 3 | 7 | 0 | 0 | 18 | 3 | 0 | 1 | 0.00% | 12 | 11.77 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
18 | Pavel Dorofeyev | 78 | LW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1079 | 190 | 352 | 542 | 10 | 480 | 20 | 1160 | 2004 | 576 | 1453 | 9.48% | 483 | 15.43 | 40 | 70 | 110 | 1748 | 4 | 2 | 6 | 1189 | 28 | 10 | 48.68% | 5364 | 0 | 0 | 1 | 3 | 0.65 | 3 | 8 |
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 | Frederik Andersen | Blackhawks | 50 | 24 | 21 | 3 | 0.885 | 3.62 | 2871 | 2 | 0 | 173 | 1499 | 0 | 3 | 1 | 0.600 | 5 | 49 | 15 | 3 | 0 | 2 |
2 | Adin Hill | Blackhawks | 44 | 20 | 16 | 6 | 0.905 | 2.98 | 2516 | 2 | 0 | 125 | 1313 | 0 | 4 | 1 | 0.800 | 5 | 42 | 27 | 3 | 1 | 2 |
Team Total or Average | 94 | 44 | 37 | 9 | 0.894 | 3.32 | 5388 | 4 | 0 | 298 | 2812 | 0 | 7 | 2 | 0.700 | 10 | 91 | 42 | 6 | 1 | 4 |
Projected Total Cap Hit | 82,454,204$ |
Projected Cap Space | 5,545,796$ |
Retains And Buyout Cap Hit | -997,500$ |
Salary Cap To Date | 70,848,468$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adin Hill | D/G | 28 | 4,900,000$ | 4,900,000$ | RFA | ||||||
Anthony Beauvillier | LW | 27 | 2,000,000$ | 2,000,000$ | RFA | ||||||
Blake Lizotte | C | 27 | 1,850,000$ | 1,850,000$ | 1,850,000$ | RFA | |||||
Brenden Dillon | D | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Cale Makar | D | 26 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | |||
Carson Soucy ![]() | D | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||||
Christian Fischer | RW | 27 | 1,125,000$ | 1,125,000$ | RFA | ||||||
Conor Sheary ![]() | LW/RW | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
David Jiricek ![]() | D/G | 21 | 925,000$ | 925,000$ | |||||||
Frederik Andersen ![]() | D/G | 35 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Griffin Mendel ![]() | D | 26 | 0$ | RFA | |||||||
Jake Bean | D | 26 | 1,750,000$ | 1,750,000$ | 1,750,000$ | RFA | |||||
Joel Eriksson Ek ![]() | C/LW/RW | 28 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | |||
Kirill Kaprizov | LW/G | 27 | 9,000,000$ | 9,000,000$ | 9,000,000$ | RFA | |||||
Lawson Crouse | LW/RW | 27 | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | |||||
Mathew Barzal | C/RW | 27 | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | ||||
Matt Benning | D | 30 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
Nathan MacKinnon ![]() | C/RW | 29 | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | UFA |
Nils Hoglander | LW/RW | 24 | 1,100,000$ | 1,100,000$ | RFA | ||||||
Pavel Dorofeyev | LW | 24 | 1,835,000$ | 1,835,000$ | 1,835,000$ | RFA | |||||
Yakov Trenin | C/LW/RW | 28 | 1,800,000$ | 1,800,000$ | RFA |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 12 | 15 | 9 | 0 | 39 | 11 | 6 | 26 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 21 | 13 | 24 | 8 | 13 | 6 | 0.0% | 0.0% | 89.7% | 89.7 | Unlucky | |
2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 9 | 5 | 6 | 1.000 | 14 | 26 | 40 | 0 | 0 | 7 | 3 | 4 | 0 | 86 | 34 | 23 | 29 | 0 | 93 | 25 | 26 | 68 | 8 | 2 | 25.00% | 13 | 2 | 84.62% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 71 | 49 | 71 | 21 | 36 | 18 | 63.2% | 16.3% | 90.3% | 106.6 | FUN | |
3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 9 | 2 | 3 | 0.750 | 11 | 20 | 31 | 0 | 0 | 5 | 6 | 0 | 0 | 82 | 33 | 25 | 24 | 0 | 68 | 22 | 18 | 39 | 9 | 1 | 11.11% | 7 | 3 | 57.14% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 49 | 35 | 47 | 13 | 24 | 12 | 62.5% | 13.4% | 86.8% | 100.2 | FUN | |
4 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 12 | -1 | 3 | 0.500 | 11 | 19 | 30 | 0 | 0 | 6 | 3 | 2 | 0 | 117 | 46 | 36 | 35 | 0 | 101 | 34 | 23 | 50 | 13 | 4 | 30.77% | 7 | 1 | 85.71% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 77 | 52 | 64 | 22 | 39 | 20 | 38.9% | 9.4% | 88.1% | 97.5 | FUN | |
5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 3 | 0 | 0 | 44 | 20 | 11 | 9 | 6 | 35 | 12 | 6 | 16 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 28 | 21 | 22 | 7 | 13 | 7 | 33.3% | 11.4% | 82.9% | 94.2 | FUN | |
6 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 8 | 8 | 6 | 0.750 | 16 | 28 | 44 | 0 | 0 | 8 | 0 | 8 | 0 | 128 | 44 | 40 | 44 | 0 | 127 | 33 | 30 | 85 | 9 | 0 | 0.00% | 13 | 1 | 92.31% | 2 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 101 | 73 | 90 | 27 | 47 | 23 | 69.6% | 12.5% | 93.7% | 106.2 | LUCKY | |
7 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 9 | -2 | 1 | 0.250 | 7 | 14 | 21 | 0 | 0 | 2 | 1 | 4 | 0 | 55 | 18 | 11 | 25 | 1 | 65 | 27 | 18 | 37 | 5 | 1 | 20.00% | 9 | 5 | 44.44% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 47 | 33 | 48 | 14 | 24 | 12 | 60.0% | 12.7% | 86.2% | 98.9 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 39 | 11 | 10 | 18 | 0 | 29 | 6 | 10 | 15 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 24 | 18 | 22 | 7 | 12 | 5 | 60.0% | 10.3% | 89.7% | 99.9 | FUN | |
9 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 16 | -10 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 1 | 0 | 88 | 25 | 25 | 38 | 0 | 102 | 30 | 24 | 72 | 12 | 3 | 25.00% | 11 | 7 | 36.36% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 72 | 50 | 71 | 21 | 36 | 18 | 25.0% | 6.8% | 84.3% | 91.1 | Unlucky | |
10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 74 | 20 | 25 | 29 | 0 | 54 | 18 | 14 | 33 | 13 | 3 | 23.08% | 7 | 1 | 85.71% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 51 | 35 | 41 | 14 | 26 | 13 | 22.2% | 6.8% | 85.2% | 91.9 | Unlucky | |
11 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 17 | -8 | 0 | 0.000 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 0 | 137 | 30 | 66 | 41 | 0 | 167 | 41 | 36 | 85 | 9 | 1 | 11.11% | 14 | 5 | 64.29% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 91 | 65 | 99 | 26 | 49 | 23 | 40.0% | 6.6% | 89.8% | 96.4 | Unlucky | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 3 | 2 | 3 | 0 | 68 | 22 | 19 | 27 | 0 | 75 | 23 | 24 | 32 | 7 | 1 | 14.29% | 12 | 2 | 83.33% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 44 | 29 | 50 | 15 | 25 | 12 | 58.3% | 11.8% | 90.7% | 102.4 | FUN | |
13 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 12 | 1 | 4 | 0.667 | 13 | 23 | 36 | 0 | 0 | 5 | 3 | 5 | 0 | 107 | 30 | 46 | 31 | 0 | 98 | 27 | 32 | 58 | 14 | 5 | 35.71% | 15 | 3 | 80.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 72 | 50 | 71 | 22 | 36 | 18 | 47.1% | 12.1% | 87.8% | 99.9 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 0 | 4 | 0 | 36 | 10 | 12 | 14 | 0 | 35 | 7 | 12 | 27 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 21 | 13 | 25 | 7 | 13 | 6 | 83.3% | 16.7% | 94.3% | 111.0 | LUCKY | |
15 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 1 | 2 | 3 | 1 | 71 | 16 | 20 | 33 | 2 | 55 | 15 | 14 | 46 | 8 | 2 | 25.00% | 6 | 2 | 66.67% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 48 | 34 | 47 | 14 | 24 | 12 | 50.0% | 9.9% | 87.3% | 97.1 | FUN | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 3 | 1 | 0 | 1 | 68 | 27 | 22 | 19 | 3 | 61 | 15 | 20 | 29 | 8 | 1 | 12.50% | 8 | 1 | 87.50% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 47 | 32 | 49 | 17 | 27 | 14 | 44.4% | 7.4% | 90.2% | 97.5 | Unlucky | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 27 | 7 | 11 | 9 | 0 | 27 | 14 | 10 | 14 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 22 | 15 | 24 | 7 | 13 | 6 | 33.3% | 3.7% | 88.9% | 92.6 | Unlucky | |
18 | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 14 | 21 | 0 | 0 | 3 | 3 | 1 | 0 | 79 | 19 | 31 | 29 | 0 | 106 | 24 | 26 | 65 | 10 | 4 | 40.00% | 13 | 4 | 69.23% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 69 | 46 | 71 | 22 | 40 | 19 | 50.0% | 8.9% | 93.4% | 102.3 | Unlucky | |
19 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 2 | 1 | 53 | 12 | 21 | 18 | 2 | 59 | 22 | 16 | 31 | 5 | 2 | 40.00% | 8 | 2 | 75.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 47 | 33 | 47 | 14 | 25 | 12 | 71.4% | 13.2% | 93.2% | 106.4 | LUCKY | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 2 | 0 | 63 | 23 | 23 | 17 | 0 | 55 | 8 | 18 | 42 | 6 | 1 | 16.67% | 8 | 3 | 62.50% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 48 | 32 | 45 | 15 | 26 | 13 | 62.5% | 9.5% | 89.1% | 98.6 | FUN | |
21 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 3 | 2 | 2 | 1 | 62 | 16 | 19 | 24 | 3 | 49 | 29 | 12 | 34 | 14 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 49 | 33 | 44 | 16 | 26 | 14 | 61.5% | 12.9% | 87.8% | 100.7 | FUN | |
22 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 6 | 1.000 | 11 | 20 | 31 | 0 | 0 | 2 | 8 | 1 | 0 | 99 | 40 | 34 | 25 | 0 | 83 | 24 | 21 | 63 | 15 | 2 | 13.33% | 6 | 0 | 100.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 76 | 54 | 62 | 23 | 40 | 20 | 69.2% | 11.1% | 95.2% | 106.3 | LUCKY | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 1 | 1 | 0 | 38 | 8 | 13 | 17 | 0 | 34 | 11 | 12 | 24 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 24 | 17 | 24 | 6 | 11 | 5 | 40.0% | 7.9% | 85.3% | 93.2 | Unlucky | |
24 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 8 | 1.000 | 19 | 34 | 53 | 0 | 0 | 3 | 13 | 3 | 0 | 139 | 39 | 69 | 31 | 0 | 93 | 34 | 33 | 77 | 15 | 5 | 33.33% | 14 | 3 | 78.57% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 94 | 64 | 92 | 28 | 53 | 27 | 66.7% | 13.7% | 89.2% | 102.9 | FUN | |
25 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 3 | 2 | 2 | 1 | 78 | 27 | 28 | 22 | 1 | 65 | 19 | 16 | 38 | 8 | 2 | 25.00% | 8 | 4 | 50.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 54 | 39 | 41 | 13 | 25 | 13 | 54.5% | 10.3% | 86.2% | 96.4 | FUN | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 0 | 4 | 0 | 59 | 23 | 21 | 15 | 0 | 58 | 10 | 39 | 37 | 5 | 1 | 20.00% | 10 | 0 | 100.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 48 | 33 | 47 | 16 | 24 | 12 | 41.7% | 10.2% | 87.9% | 98.1 | FUN | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 0 | 0.000 | 7 | 11 | 18 | 0 | 0 | 3 | 2 | 2 | 0 | 79 | 24 | 32 | 23 | 0 | 41 | 13 | 14 | 36 | 8 | 1 | 12.50% | 6 | 3 | 50.00% | 1 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 52 | 37 | 41 | 13 | 25 | 13 | 50.0% | 8.9% | 78.0% | 86.9 | Unlucky | |
28 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 14 | -7 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 6 | 0 | 1 | 0 | 138 | 40 | 44 | 54 | 0 | 111 | 25 | 22 | 62 | 10 | 1 | 10.00% | 11 | 3 | 72.73% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 81 | 60 | 62 | 20 | 35 | 17 | 35.3% | 5.1% | 87.4% | 92.5 | Unlucky | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 4 | 1 | 0 | 76 | 25 | 28 | 23 | 0 | 55 | 22 | 16 | 25 | 9 | 2 | 22.22% | 8 | 0 | 100.00% | 0 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 51 | 36 | 45 | 14 | 22 | 11 | 45.5% | 9.2% | 89.1% | 98.3 | FUN | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 1 | 4 | 0 | 69 | 25 | 25 | 19 | 0 | 61 | 14 | 14 | 55 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 1 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 52 | 35 | 41 | 13 | 26 | 13 | 41.7% | 8.7% | 86.9% | 95.6 | Unlucky | |
_Vs Division | 22 | 13 | 8 | 0 | 0 | 1 | 0 | 0 | 81 | 65 | 16 | 27 | 0.614 | 81 | 146 | 227 | 0 | 0 | 26 | 29 | 26 | 0 | 718 | 225 | 268 | 224 | 1 | 682 | 202 | 178 | 448 | 74 | 14 | 18.92% | 76 | 17 | 77.63% | 2 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 536 | 376 | 505 | 156 | 278 | 139 | 58.3% | 11.3% | 90.5% | 101.8 | FUN | |
_Vs Conference | 43 | 19 | 19 | 0 | 0 | 4 | 1 | 0 | 143 | 146 | -3 | 44 | 0.512 | 143 | 256 | 399 | 0 | 0 | 55 | 46 | 41 | 1 | 1460 | 462 | 525 | 472 | 4 | 1377 | 393 | 355 | 864 | 157 | 35 | 22.29% | 156 | 37 | 76.28% | 3 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 1060 | 741 | 983 | 312 | 542 | 273 | 49.8% | 9.8% | 89.4% | 99.2 | FUN | |
_Since Last GM Reset | 67 | 27 | 29 | 0 | 4 | 5 | 1 | 1 | 230 | 233 | -3 | 70 | 0.522 | 230 | 413 | 643 | 1 | 0 | 85 | 71 | 69 | 5 | 2295 | 726 | 805 | 751 | 18 | 2101 | 615 | 582 | 1321 | 249 | 51 | 20.48% | 251 | 62 | 75.30% | 4 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 1647 | 1152 | 1541 | 491 | 847 | 427 | 51.1% | 10.0% | 88.9% | 98.9 | FUN | |
Total | 67 | 27 | 29 | 0 | 4 | 5 | 1 | 1 | 230 | 233 | -3 | 70 | 0.522 | 230 | 413 | 643 | 1 | 0 | 85 | 71 | 69 | 5 | 2295 | 726 | 805 | 751 | 18 | 2101 | 615 | 582 | 1321 | 249 | 51 | 20.48% | 251 | 62 | 75.30% | 4 | 1229 | 2519 | 48.79% | 1159 | 2335 | 49.64% | 559 | 1092 | 51.19% | 1647 | 1152 | 1541 | 491 | 847 | 427 | 51.1% | 10.0% | 88.9% | 98.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2519 |
Neutral Zone Start | 1092 |
Defensive Zone Start | 2335 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2947 |
Faceoffs Lost | 2999 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 22.9 | 20.31 |
3rd Period | 34.1 | 30.68 |
Overtime | 34.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 174 |
---|---|
PP Goal | 51 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 12 | 20 |
Lost | 18 | 11 |
Overtime Lost | 2 | 4 |
PP Attempt | 249 |
---|---|
PP Goal | 51 |
PK Attempt | 251 |
PK Goal Against | 62 |
Home | |
---|---|
Shots For | 34.3 |
Shots Against | 31.4 |
Goals For | 3.4 |
Goals Against | 3.5 |
Hits | 19.7 |
Shots Blocked | 9.2 |
Pim | 8.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-08 | @ | Blackhawks3,Hockey Club1 | RECAP | |||||||||||
2024-10-11 | @ | Blackhawks2,Jets4 | RECAP | |||||||||||
2024-10-12 | @ | Blackhawks2,Oilers3 (OT) | RECAP | |||||||||||
2024-10-15 | @ | Blackhawks5,Flames3 | RECAP | |||||||||||
2024-10-17 | @ | Sharks6,Blackhawks4 | RECAP | |||||||||||
2024-10-19 | @ | Sabres6,Blackhawks3 | RECAP | |||||||||||
2024-10-22 | @ | Canucks3,Blackhawks5 | RECAP | |||||||||||
2024-10-25 | @ | Predators2,Blackhawks5 | RECAP | |||||||||||
2024-10-26 | @ | Blackhawks3,Stars4 | RECAP | |||||||||||
2024-10-28 | @ | Blackhawks4,Avalanche3 | RECAP | |||||||||||
2024-10-31 | @ | Blackhawks1,Sharks5 | RECAP | |||||||||||
2024-11-02 | @ | Blackhawks4,Kings3 (SO) | RECAP | |||||||||||
2024-11-03 | @ | Blackhawks2,Ducks5 | RECAP | |||||||||||
2024-11-06 | @ | Red Wings5,Blackhawks2 | RECAP | |||||||||||
2024-11-07 | @ | Blackhawks2,Stars5 | RECAP | |||||||||||
2024-11-10 | @ | Wild1,Blackhawks4 | RECAP | |||||||||||
2024-11-14 | @ | Blackhawks4,Kraken3 | RECAP | |||||||||||
2024-11-16 | @ | Blackhawks3,Canucks5 | RECAP | |||||||||||
2024-11-19 | @ | Ducks7,Blackhawks1 | RECAP | |||||||||||
2024-11-21 | @ | Panthers5,Blackhawks6 | RECAP | |||||||||||
2024-11-23 | @ | Blackhawks5,Flyers6 (SO) | RECAP | |||||||||||
2024-11-27 | @ | Stars5,Blackhawks2 | RECAP | |||||||||||
2024-11-29 | @ | Blackhawks6,Wild4 | RECAP | |||||||||||
2024-12-01 | @ | Blue Jackets3,Blackhawks2 | RECAP | |||||||||||
2024-12-02 | @ | Blackhawks7,Maple Leafs4 | RECAP | |||||||||||
2024-12-04 | @ | Bruins4,Blackhawks0 | RECAP | |||||||||||
2024-12-07 | @ | Jets4,Blackhawks3 | RECAP | |||||||||||
2024-12-09 | @ | Blackhawks3,Rangers5 | RECAP | |||||||||||
2024-12-12 | @ | Blackhawks2,Islanders1 (OT) | RECAP | |||||||||||
2024-12-14 | @ | Blackhawks6,Devils2 | RECAP | |||||||||||
2024-12-15 | @ | Islanders3,Blackhawks5 | RECAP | |||||||||||
2024-12-17 | @ | Capitals3,Blackhawks4 | RECAP | |||||||||||
2024-12-19 | @ | Kraken5,Blackhawks2 | RECAP | |||||||||||
2024-12-21 | @ | Blackhawks5,Flames2 | RECAP | |||||||||||
2024-12-23 | @ | Blackhawks4,Wild2 | RECAP | |||||||||||
2024-12-27 | @ | Blackhawks5,Sabres1 | RECAP | |||||||||||
2024-12-29 | @ | Stars3,Blackhawks2 | RECAP | |||||||||||
2024-12-31 | @ | Blues5,Blackhawks4 | RECAP | |||||||||||
2025-01-03 | @ | Canadiens3,Blackhawks1 | RECAP | |||||||||||
2025-01-05 | @ | Rangers4,Blackhawks5 (OT) | RECAP | |||||||||||
2025-01-08 | @ | Avalanche2,Blackhawks4 | RECAP | |||||||||||
2025-01-10 | @ | Blackhawks4,Red Wings2 | RECAP | |||||||||||
2025-01-11 | @ | Oilers1,Blackhawks3 | RECAP | |||||||||||
2025-01-13 | @ | Flames7,Blackhawks3 | RECAP | |||||||||||
2025-01-16 | @ | Blackhawks5,Predators2 | RECAP | |||||||||||
2025-01-18 | @ | Golden Knights3,Blackhawks5 | RECAP | |||||||||||
2025-01-20 | @ | Hurricanes4,Blackhawks3 | RECAP | |||||||||||
2025-01-24 | @ | Lightning6,Blackhawks5 | RECAP | |||||||||||
2025-01-26 | @ | Wild3,Blackhawks5 | RECAP | |||||||||||
2025-01-28 | @ | Blackhawks2,Lightning3 | RECAP | |||||||||||
2025-01-30 | @ | Blackhawks4,Hurricanes3 (OT) | RECAP | |||||||||||
2025-02-01 | @ | Blackhawks2,Panthers1 (OT) | RECAP | |||||||||||
2025-02-05 | @ | Oilers3,Blackhawks2 (OT) | RECAP | |||||||||||
2025-02-07 | @ | Predators2,Blackhawks1 | RECAP | |||||||||||
2025-02-08 | @ | Blackhawks3,Blues4 (OT) | RECAP | |||||||||||
2025-02-22 | @ | Blackhawks4,Blue Jackets3 | RECAP | |||||||||||
2025-02-23 | @ | Maple Leafs5,Blackhawks4 (OT) | RECAP | |||||||||||
2025-02-25 | @ | Blackhawks5,Hockey Club2 | RECAP | |||||||||||
2025-02-27 | @ | Blackhawks2,Golden Knights3 | RECAP | |||||||||||
2025-03-01 | @ | Blackhawks3,Ducks4 | RECAP | |||||||||||
2025-03-03 | @ | Kings3,Blackhawks1 | RECAP | |||||||||||
2025-03-05 | @ | Senators5,Blackhawks3 | RECAP | |||||||||||
2025-03-07 | @ | Hockey Club1,Blackhawks3 | RECAP | |||||||||||
2025-03-08 | @ | Blackhawks5,Predators2 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Blackhawks6,Avalanche4 | RECAP | |||||||||||
2025-03-13 | @ | Blackhawks2,Sharks3 | RECAP | |||||||||||
2025-03-15 | @ | Blackhawks3,Canucks4 (OT) | RECAP | |||||||||||
2025-03-18 | @ | |||||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-23 | @ | |||||||||||||
2025-03-26 | @ | |||||||||||||
2025-03-28 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
2025-04-02 | @ | |||||||||||||
2025-04-04 | @ | |||||||||||||
2025-04-06 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-10 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-14 | @ | |||||||||||||
2025-04-15 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,010,000$ | -997,500$ | 82,454,204$ | 5,545,796$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | United Center | |
City | Chicago | ||
Capacity | 22275 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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![]() |
Arena Capacity | 6275 | 5000 | 4000 | 5000 | 2000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 200800 | 160000 | 113294 | 160000 | 53056 |
Attendance PCT | 100.00% | 100.00% | 88.51% | 100.00% | 82.90% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
9 | 21473 - 96.40% | 2,664,385$ | 85,260,315$ | 22275 | 150 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,010,000$ | 79,685,000$ | 0$ | -997,500$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
76,929,633$ | 406,556$ | 70,848,468$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
23,979,464$ | 31 | 438,827$ | 13,603,637$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
13,985,927$ | 82,454,204$ | 305,568,041$ | 316,208,532$ |
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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2025 | |||||||
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2027 | |||||||
2028 | |||||||
2029 |
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 |
---|---|---|---|---|---|
Adam Jecho | 2024 | 53 | |||
Alexander Nikishin | 2020 | 161 | |||
Alexander Siryatsky | 2024 | 190 | |||
Brandon Svoboda | 2023 | 86 | |||
Chase Cheslock | 2023 | 161 | |||
Chase Pirtle | 2023 | 218 | |||
Connor Lockhart | 2021 | 127 | |||
David Edstrom | 2023 | 30 | ELC 2023-24 (slide) | Link | |
Eemil Vinni | 2024 | 90 | |||
Ilya Kvochko | 2022 | 155 | |||
Jace Weir | 2022 | 128 | |||
Jack Sparkes | 2022 | 99 | |||
Jackson Hallum | 2021 | 161 | |||
Jeremy Wilmer | 2021 | 129 | |||
Keets Fawcett | 2024 | 198 | |||
Kirill Kirsanov | 2021 | 79 | |||
Liam Steele | 2022 | 201 | |||
Luke McNamara | 2023 | 162 | |||
Owen Allard | 2024 | 89 | |||
Semyon Demidov | 2022 | 165 |
|