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Full Scoreboard »» |
Chicago Blackhawks 13-9-3, 29pts · 6th in Western |
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/RW | 98.00 | 64 | 33 | 76 | 87 | 76 | 85 | 89 | 83 | 59 | 87 | 82 | 64 | 82 | 71 | 69 | 0 | 61 | 90 | 27 | 5,000,000$/9yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 32 | 90 | 93 | 74 | 86 | 83 | 80 | 62 | 84 | 78 | 76 | 79 | 66 | 65 | 0 | 56 | 90 | 24 | 1,250,000$/1yrs | |||
![]() | 0 | C/LW/RW | 97.00 | 77 | 41 | 80 | 79 | 78 | 86 | 88 | 79 | 81 | 83 | 79 | 72 | 79 | 80 | 86 | 0 | 50 | 89 | 32 | 6,500,000$/5yrs | |||
![]() | 0 | LW/RW | 98.00 | 54 | 33 | 90 | 86 | 77 | 84 | 89 | 82 | 59 | 83 | 84 | 63 | 83 | 68 | 67 | 0 | 59 | 89 | 25 | 8,125,000$/8yrs | |||
![]() | 0 | RW | 100.00 | 55 | 32 | 92 | 80 | 67 | 90 | 89 | 80 | 60 | 87 | 79 | 62 | 80 | 84 | 96 | 0 | 41 | 89 | 35 | 8,500,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 81 | 46 | 78 | 69 | 81 | 84 | 90 | 71 | 77 | 77 | 66 | 91 | 68 | 87 | 91 | 0 | 49 | 86 | 36 | 2,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 32 | 96 | 74 | 74 | 79 | 90 | 71 | 63 | 75 | 73 | 68 | 72 | 72 | 71 | 0 | 54 | 82 | 27 | 2,250,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 34 | 91 | 65 | 73 | 79 | 87 | 68 | 59 | 66 | 71 | 83 | 69 | 75 | 74 | 0 | 51 | 81 | 29 | 2,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 34 | 91 | 65 | 72 | 79 | 89 | 66 | 59 | 68 | 67 | 78 | 67 | 77 | 76 | 0 | 55 | 79 | 31 | 1,200,000$/2yrs | |||
![]() | 0 | C | 100.00 | 57 | 31 | 94 | 71 | 63 | 79 | 69 | 68 | 84 | 67 | 78 | 70 | 73 | 66 | 65 | 0 | 52 | 79 | 24 | 950,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 93 | 57 | 69 | 61 | 85 | 75 | 89 | 66 | 60 | 69 | 65 | 69 | 66 | 69 | 66 | 0 | 21 | 78 | 26 | 1,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 32 | 93 | 63 | 71 | 75 | 82 | 66 | 62 | 68 | 66 | 73 | 66 | 76 | 75 | 0 | 45 | 78 | 30 | 1,000,000$/1yrs | |||
![]() | 0 | D | 98.00 | 83 | 35 | 81 | 75 | 78 | 98 | 87 | 76 | 30 | 85 | 72 | 82 | 74 | 87 | 96 | 0 | 49 | 92 | 36 | 7,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 68 | 33 | 80 | 68 | 81 | 89 | 90 | 71 | 30 | 75 | 65 | 82 | 68 | 84 | 82 | 0 | 56 | 85 | 34 | 1,350,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 33 | 84 | 59 | 77 | 85 | 82 | 67 | 30 | 67 | 58 | 85 | 62 | 79 | 77 | 0 | 64 | 82 | 32 | 4,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 45 | 71 | 56 | 86 | 89 | 87 | 65 | 30 | 63 | 65 | 88 | 65 | 76 | 81 | 0 | 58 | 81 | 30 | 4,400,000$/3yrs | |||
![]() | 0 | D | 100.00 | 89 | 59 | 69 | 58 | 94 | 82 | 73 | 64 | 30 | 65 | 63 | 80 | 63 | 78 | 75 | 0 | 37 | 80 | 31 | 2,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 71 | 38 | 81 | 65 | 67 | 75 | 87 | 65 | 44 | 68 | 68 | 70 | 68 | 74 | 76 | 0 | 27 | 78 | 29 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 78 | 37 | 80 | 65 | 82 | 74 | 83 | 64 | 58 | 66 | 63 | 70 | 63 | 67 | 65 | 0 | 33 | 77 | 25 | 800,000$/1yrs | |||
![]() | 0 | D | 95.00 | 72 | 34 | 86 | 75 | 86 | 98 | 89 | 75 | 30 | 81 | 68 | 86 | 71 | 74 | 81 | 0 | 51 | 90 | 29 | 9,500,000$/7yrs | |||
![]() | 0 | D | 100.00 | 88 | 39 | 78 | 55 | 93 | 85 | 90 | 65 | 30 | 65 | 63 | 84 | 64 | 78 | 76 | 0 | 48 | 81 | 31 | 1,500,000$/1yrs | |||
TEAM AVERAGE | 99.33 | 73 | 38 | 83 | 70 | 78 | 84 | 86 | 71 | 52 | 74 | 70 | 76 | 71 | 76 | 77 | 0 | 48 | 84 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 85 | 85 | 76 | 79 | 86 | 82 | 88 | 90 | 87 | 90 | 88 | 76 | 81 | 0 | 24 | 88 | 31 | 2,750,000$/2yrs |
![]() | 0 | 100.00 | 86 | 86 | 77 | 79 | 81 | 77 | 84 | 90 | 83 | 89 | 84 | 80 | 84 | 0 | 61 | 87 | 33 | 3,850,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 86 | 86 | 77 | 79 | 84 | 80 | 86 | 90 | 85 | 90 | 86 | 78 | 83 | 0 | 43 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Tocchet | 80 | 85 | 77 | 84 | 88 | 77 | 61 | CAN | 59 | 5 | 1,000,000$ |
General Manager | Yan Turgeon |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brayden Schenn | 0 | C/LW/RW | 25 | 10 | 13 | 23 | -1 | 16 | 0 | 70 | 60 | 19 | 47 | 16.67% | 9 | 21.84 | 1 | 4 | 5 | 81 | 0 | 0 | 0 | 40 | 3 | 1 | 54.49% | 701 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | |
2 | Kevin Fiala | 0 | C/LW/RW | 25 | 11 | 11 | 22 | -1 | 4 | 0 | 31 | 92 | 26 | 56 | 11.96% | 4 | 19.81 | 2 | 4 | 6 | 81 | 0 | 0 | 0 | 0 | 2 | 0 | 44.19% | 43 | 0 | 0 | 0 | 0 | 0.89 | 1 | 2 | |
3 | Jordan Kyrou | 0 | LW/RW | 25 | 7 | 14 | 21 | -1 | 2 | 0 | 3 | 82 | 32 | 52 | 8.54% | 2 | 19.94 | 2 | 3 | 5 | 81 | 0 | 0 | 0 | 1 | 2 | 0 | 51.35% | 37 | 0 | 0 | 0 | 0 | 0.84 | 0 | 2 | |
4 | Kris Letang | 0 | D | 25 | 0 | 20 | 20 | -4 | 39 | 5 | 66 | 43 | 14 | 29 | 0.00% | 16 | 23.73 | 0 | 6 | 6 | 83 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
5 | Seth Jones | 0 | D | 25 | 5 | 12 | 17 | -5 | 12 | 0 | 23 | 45 | 20 | 25 | 11.11% | 47 | 26.16 | 4 | 3 | 7 | 83 | 0 | 0 | 0 | 65 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
6 | Ryan Donato | 0 | C/LW | 25 | 5 | 12 | 17 | 6 | 4 | 0 | 18 | 43 | 7 | 24 | 11.63% | 0 | 14.04 | 1 | 2 | 3 | 40 | 0 | 0 | 0 | 60 | 0 | 0 | 45.63% | 355 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | |
7 | Kevin Shattenkirk | 0 | D | 25 | 1 | 12 | 13 | -2 | 10 | 0 | 19 | 34 | 9 | 25 | 2.94% | 29 | 19.66 | 1 | 0 | 1 | 69 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
8 | Colin Blackwell | 0 | C/RW | 24 | 6 | 5 | 11 | 7 | 2 | 0 | 16 | 29 | 5 | 12 | 20.69% | 2 | 9.90 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 20 | 1 | 0 | 38.71% | 124 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | |
9 | Nikita Zaitsev | 0 | D | 25 | 4 | 7 | 11 | -2 | 26 | 0 | 44 | 26 | 6 | 17 | 15.38% | 28 | 20.56 | 2 | 1 | 3 | 69 | 0 | 0 | 0 | 46 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
10 | Brock McGinn | 0 | LW/RW | 25 | 6 | 2 | 8 | 2 | 4 | 0 | 21 | 39 | 10 | 20 | 15.38% | 15 | 12.34 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 81 | 1 | 0 | 47.83% | 23 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
11 | Connor Murphy | 0 | D | 25 | 1 | 6 | 7 | 7 | 14 | 0 | 30 | 12 | 4 | 7 | 8.33% | 30 | 15.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
12 | Patrick Kane | 0 | RW | 14 | 3 | 4 | 7 | 1 | 0 | 0 | 5 | 35 | 15 | 31 | 8.57% | 1 | 17.75 | 0 | 0 | 0 | 37 | 0 | 0 | 0 | 0 | 1 | 0 | 57.14% | 21 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
13 | Philipp Kurashev | 0 | C/LW | 25 | 4 | 3 | 7 | -6 | 0 | 0 | 8 | 44 | 10 | 30 | 9.09% | 6 | 17.41 | 1 | 1 | 2 | 70 | 0 | 0 | 0 | 0 | 0 | 0 | 45.06% | 233 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
14 | Nick Foligno | 0 | C/LW/RW | 25 | 2 | 4 | 6 | -3 | 19 | 5 | 65 | 40 | 9 | 23 | 5.00% | 2 | 14.08 | 0 | 2 | 2 | 36 | 0 | 0 | 0 | 15 | 0 | 0 | 48.03% | 127 | 0 | 0 | 0 | 0 | 0.34 | 1 | 2 | |
15 | Cole Guttman | 0 | C | 25 | 3 | 3 | 6 | 2 | 0 | 0 | 1 | 28 | 5 | 21 | 10.71% | 0 | 7.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.68% | 205 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
16 | Boris Katchouk | 0 | LW | 21 | 2 | 3 | 5 | -3 | 6 | 0 | 18 | 15 | 1 | 12 | 13.33% | 1 | 11.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 37.50% | 16 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
17 | Matt Nieto | 0 | LW/RW | 25 | 2 | 2 | 4 | 0 | 2 | 0 | 10 | 40 | 6 | 15 | 5.00% | 2 | 9.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 1 | 23.53% | 17 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
18 | Keegan Kolesar | 0 | C/LW/RW | 27 | 2 | 1 | 3 | 1 | 19 | 5 | 41 | 13 | 2 | 6 | 15.38% | 3 | 9.10 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 51 | 0 | 0 | 40.63% | 32 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
19 | Jani Hakanpaa | 0 | D | 14 | 0 | 3 | 3 | 3 | 2 | 0 | 20 | 11 | 1 | 9 | 0.00% | 19 | 15.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
20 | Jarred Tinordi | 0 | D | 11 | 0 | 2 | 2 | 5 | 6 | 0 | 15 | 5 | 2 | 5 | 0.00% | 12 | 14.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
21 | Dave Gust | 0 | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0.00% | 0 | 7.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 462 | 74 | 139 | 213 | 6 | 187 | 15 | 526 | 737 | 203 | 466 | 10.04% | 228 | 16.01 | 14 | 26 | 40 | 744 | 1 | 1 | 2 | 585 | 12 | 2 | 49.12% | 1936 | 0 | 0 | 0 | 0 | 0.58 | 2 | 6 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Jake Allen | 12 | 6 | 2 | 2 | 0.905 | 2.87 | 669 | 0 | 0 | 32 | 336 | 0 | 0 | 0 | 1.000 | 3 | 9 | 16 | 1 | 1 | 0 | |
2 | Anton Forsberg | 12 | 3 | 6 | 1 | 0.888 | 3.08 | 642 | 2 | 0 | 33 | 295 | 0 | 2 | 0 | 0.000 | 2 | 11 | 14 | 0 | 1 | 1 | |
Team Total or Average | 24 | 9 | 8 | 3 | 0.897 | 2.98 | 1311 | 2 | 0 | 65 | 631 | 0 | 2 | 0 | 0.600 | 5 | 20 | 30 | 1 | 2 | 1 |
Projected Total Cap Hit | 79,738,175$ |
Projected Cap Space | 3,761,825$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 23,569,403$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Blackhawks Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Forsberg | G | 31 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Boris Katchouk ![]() | LW | 25 | 800,000$ | 800,000$ | |||||||
Brayden Schenn | C/LW/RW | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Brock McGinn | LW/RW | 29 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Cole Guttman ![]() | C | 24 | 950,000$ | 950,000$ | 950,000$ | ||||||
Colin Blackwell ![]() | C/RW | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Connor Murphy | D | 30 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | ||||
Dave Gust ![]() | RW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Jake Allen | G | 33 | 3,850,000$ | 3,850,000$ | 3,850,000$ | UFA | |||||
Jani Hakanpaa | D | 31 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Jarred Tinordi | D | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Jordan Kyrou | LW/RW | 25 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ |
Keegan Kolesar | C/LW/RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Kevin Fiala | C/LW/RW | 27 | 5,000,000$ | 5,000,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Kevin Shattenkirk | D | 34 | 1,350,000$ | 1,350,000$ | UFA | ||||||
Kris Letang | D | 36 | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | |||||
Matt Nieto ![]() | LW/RW | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Nick Foligno | C/LW/RW | 36 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Nikita Zaitsev | D | 32 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Patrick Kane | RW | 35 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||
Philipp Kurashev ![]() | C/LW | 24 | 1,250,000$ | 1,250,000$ | |||||||
Ryan Donato | C/LW | 27 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Seth Jones | D | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Petrovic ![]() | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Blade Jenkins ![]() | LW | 23 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Brett Seney ![]() | C/LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
CJ Suess ![]() | LW | 29 | 800,000$ | 800,000$ | UFA | ||||||
Cameron Hillis ![]() | C | 23 | 775,000$ | 775,000$ | ![]() | ||||||
Chad Krys ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Chad Yetman ![]() | RW | 23 | 775,000$ | 775,000$ | ![]() | ||||||
Christian Jaros ![]() | D | 27 | 1,050,000$ | 1,050,000$ | UFA | ||||||
Cole Reinhardt ![]() | LW | 23 | 813,333$ | 813,333$ | ![]() | ||||||
Colton Dach ![]() | C/LW | 20 | 847,500$ | 847,500$ | 847,500$ | RFA | |||||
Connor Corcoran ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Derrick Pouliot ![]() | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
Dryden McKay ![]() | G | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Filip Roos ![]() | D | 24 | 925,000$ | 925,000$ | ![]() | ||||||
Garret Sparks ![]() | G | 30 | 775,000$ | 775,000$ | UFA | ||||||
Jake Livingstone ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Jake Virtanen ![]() | RW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Jakub Demek ![]() | C/RW | 20 | 851,683$ | 851,683$ | 851,683$ | 851,683$ | RFA | ||||
Jakub Dvorak ![]() | D | 18 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Jalen Luypen ![]() | C | 21 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Jaxson Stauber ![]() | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Johan Sodergran ![]() | RW | 24 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
John Ludvig ![]() | D | 23 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Louie Belpedio ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Louis Crevier ![]() | D | 22 | 850,833$ | 850,833$ | RFA | ||||||
Luke Philp ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
MacKenzie Entwistle ![]() | C | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Marc-Andre Gaudet ![]() | D | 20 | 849,167$ | 849,167$ | 849,167$ | RFA | |||||
Markus Phillips ![]() | D | 24 | 796,667$ | 796,667$ | ![]() | ||||||
Michael Benning ![]() | D | 21 | 916,667$ | 916,667$ | 916,667$ | RFA | |||||
Nolan Patrick ![]() | C | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Ozzy Wiesblatt ![]() | RW | 21 | 835,833$ | 835,833$ | 835,833$ | RFA | |||||
Philippe Myers ![]() | D | 26 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Ronan Seeley ![]() | D | 21 | 810,000$ | 810,000$ | 810,000$ | RFA | |||||
Ruslan Iskhakov ![]() | C | 23 | 855,000$ | 855,000$ | RFA | ||||||
Samuel Savoie ![]() | LW | 19 | 878,333$ | 878,333$ | 878,333$ | 878,333$ | RFA | ||||
Tanner Dickinson ![]() | C | 21 | 848,333$ | 848,333$ | RFA | ||||||
Taylor Ward ![]() | RW | 25 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tyler Sikura ![]() | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Victor Lodin ![]() | C/LW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Victor Mete ![]() | D | 25 | 850,000$ | 850,000$ | 850,000$ | UFA |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 22 | 6 | 10 | 6 | 0 | 30 | 6 | 2 | 17 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 20 | 13 | 27 | 8 | 11 | 5 | 66.7% | 9.1% | 96.7% | 105.8 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 24 | 9 | 3 | 12 | 0 | 33 | 11 | 6 | 11 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 23 | 15 | 24 | 7 | 12 | 5 | 50.0% | 8.3% | 97.0% | 105.3 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 26 | 5 | 16 | 4 | 3 | 31 | 19 | 6 | 25 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 23 | 16 | 27 | 7 | 13 | 6 | 44.4% | 19.2% | 80.6% | 99.9 | FUN | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 4 | 7 | 0 | 1 | 1 | 0 | 2 | 0 | 23 | 7 | 6 | 10 | 0 | 33 | 8 | 6 | 20 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 22 | 15 | 25 | 8 | 12 | 6 | 100.0% | 13.0% | 100.0% | 113.0 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 35 | 17 | 11 | 7 | 0 | 35 | 11 | 8 | 28 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 22 | 14 | 23 | 7 | 13 | 6 | 75.0% | 8.6% | 97.1% | 105.7 | DULL | |
6 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 9 | 0 | 3 | 0.750 | 9 | 18 | 27 | 0 | 0 | 3 | 3 | 3 | 0 | 62 | 18 | 23 | 18 | 3 | 70 | 25 | 12 | 39 | 6 | 3 | 50.00% | 5 | 1 | 80.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 48 | 34 | 48 | 14 | 27 | 14 | 42.9% | 14.5% | 87.1% | 101.7 | FUN | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 58 | 20 | 19 | 19 | 0 | 52 | 15 | 14 | 39 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 49 | 34 | 43 | 15 | 26 | 13 | 33.3% | 5.2% | 86.5% | 91.7 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 4 | 9 | 10 | 0 | 20 | 5 | 2 | 21 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 19 | 13 | 26 | 8 | 13 | 6 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 27 | 8 | 5 | 14 | 0 | 43 | 7 | 11 | 16 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 24 | 16 | 23 | 7 | 12 | 6 | 33.3% | 7.4% | 86.0% | 93.5 | Unlucky | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 3 | 0 | 1 | 0 | 44 | 14 | 12 | 18 | 0 | 68 | 14 | 14 | 39 | 6 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 42 | 28 | 51 | 15 | 26 | 12 | 57.1% | 9.1% | 94.1% | 103.2 | LUCKY | |
11 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 38 | 19 | 9 | 10 | 0 | 19 | 6 | 11 | 14 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 26 | 18 | 21 | 6 | 13 | 6 | 33.3% | 10.5% | 73.7% | 84.2 | FUN | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 64 | 20 | 26 | 18 | 0 | 59 | 20 | 26 | 36 | 9 | 1 | 11.11% | 12 | 1 | 91.67% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 45 | 29 | 49 | 15 | 25 | 12 | 50.0% | 7.8% | 91.5% | 99.3 | DULL | |
13 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 2 | 1 | 36 | 10 | 10 | 13 | 6 | 25 | 7 | 7 | 20 | 2 | 1 | 50.00% | 1 | 1 | 0.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 26 | 19 | 25 | 6 | 13 | 6 | 55.6% | 16.7% | 80.0% | 96.7 | FUN | |
14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 1 | 1 | 44 | 18 | 15 | 10 | 1 | 28 | 6 | 6 | 20 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 25 | 19 | 21 | 6 | 13 | 6 | 50.0% | 11.4% | 85.7% | 97.1 | FUN | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 15 | 1 | 8 | 0 | 34 | 6 | 10 | 24 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 20 | 12 | 26 | 8 | 13 | 6 | 100.0% | 4.2% | 94.1% | 98.3 | DULL | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 1 | 2 | 2 | 2 | 0 | 53 | 18 | 18 | 17 | 0 | 70 | 23 | 12 | 55 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 46 | 31 | 48 | 15 | 25 | 12 | 60.0% | 11.3% | 92.9% | 104.2 | LUCKY | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 35 | 13 | 15 | 7 | 0 | 39 | 13 | 10 | 28 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 21 | 13 | 25 | 8 | 13 | 6 | 28.6% | 8.6% | 82.1% | 90.6 | Unlucky | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 4 | 2 | 2 | 0 | 58 | 18 | 23 | 17 | 0 | 41 | 19 | 8 | 43 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 49 | 33 | 46 | 13 | 24 | 12 | 66.7% | 13.8% | 90.2% | 104.0 | FUN | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 38 | 13 | 15 | 10 | 0 | 20 | 3 | 6 | 21 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 29 | 20 | 17 | 7 | 13 | 7 | 66.7% | 10.5% | 95.0% | 105.5 | LUCKY | |
_Vs Division | 7 | 3 | 2 | 0 | 1 | 1 | 0 | 0 | 21 | 23 | -2 | 9 | 0.643 | 21 | 39 | 60 | 0 | 0 | 6 | 9 | 5 | 1 | 215 | 74 | 66 | 71 | 4 | 229 | 65 | 45 | 135 | 20 | 6 | 30.00% | 21 | 4 | 80.95% | 0 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 164 | 114 | 168 | 51 | 91 | 46 | 44.1% | 9.8% | 90.0% | 99.7 | FUN | |
_Vs Conference | 11 | 6 | 3 | 0 | 1 | 1 | 0 | 0 | 34 | 30 | 4 | 15 | 0.682 | 34 | 61 | 95 | 0 | 0 | 13 | 12 | 8 | 1 | 335 | 120 | 105 | 106 | 4 | 324 | 93 | 69 | 223 | 38 | 8 | 21.05% | 33 | 6 | 81.82% | 1 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 263 | 181 | 259 | 81 | 142 | 72 | 52.0% | 10.1% | 90.7% | 100.9 | FUN | |
_Since Last GM Reset | 25 | 11 | 9 | 0 | 1 | 2 | 1 | 1 | 75 | 75 | 0 | 29 | 0.580 | 75 | 137 | 212 | 0 | 3 | 29 | 24 | 20 | 2 | 734 | 252 | 246 | 228 | 13 | 750 | 224 | 177 | 516 | 84 | 14 | 16.67% | 80 | 15 | 81.25% | 1 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 588 | 403 | 605 | 188 | 322 | 160 | 50.4% | 10.2% | 90.0% | 100.2 | FUN | |
Total | 25 | 11 | 9 | 0 | 1 | 2 | 1 | 1 | 75 | 75 | 0 | 29 | 0.580 | 75 | 137 | 212 | 0 | 3 | 29 | 24 | 20 | 2 | 734 | 252 | 246 | 228 | 13 | 750 | 224 | 177 | 516 | 84 | 14 | 16.67% | 80 | 15 | 81.25% | 1 | 431 | 843 | 51.13% | 434 | 855 | 50.76% | 177 | 390 | 45.38% | 588 | 403 | 605 | 188 | 322 | 160 | 50.4% | 10.2% | 90.0% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 843 |
Neutral Zone Start | 390 |
Defensive Zone Start | 855 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1042 |
Faceoffs Lost | 1046 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 29.0 | 30.68 |
Overtime | 29.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 60 |
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PP Goal | 14 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 8 |
Lost | 4 | 5 |
Overtime Lost | 2 | 1 |
PP Attempt | 84 |
---|---|
PP Goal | 14 |
PK Attempt | 80 |
PK Goal Against | 15 |
Home | |
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Shots For | 29.4 |
Shots Against | 30.0 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 20.6 |
Shots Blocked | 9.0 |
Pim | 7.1 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-10 | @ | Blackhawks3,Penguins7 | RECAP | |||||||||||
2023-10-11 | @ | Blackhawks2,Bruins4 | RECAP | |||||||||||
2023-10-14 | @ | Blackhawks3,Canadiens0 | RECAP | |||||||||||
2023-10-16 | @ | Blackhawks3,Maple Leafs0 | RECAP | |||||||||||
2023-10-19 | @ | Blackhawks2,Avalanche1 | RECAP | |||||||||||
2023-10-21 | @ | Golden Knights1,Blackhawks3 | RECAP | |||||||||||
2023-10-24 | @ | Bruins0,Blackhawks2 | RECAP | |||||||||||
2023-10-27 | @ | Blackhawks5,Golden Knights3 | RECAP | |||||||||||
2023-10-30 | @ | Blackhawks2,Coyotes6 | RECAP | |||||||||||
2023-11-04 | @ | Panthers2,Blackhawks4 | RECAP | |||||||||||
2023-11-05 | @ | Devils1,Blackhawks2 | RECAP | |||||||||||
2023-11-09 | @ | Blackhawks1,Lightning3 | RECAP | |||||||||||
2023-11-12 | @ | Blackhawks1,Panthers3 | RECAP | |||||||||||
2023-11-16 | @ | Lightning4,Blackhawks2 | RECAP | |||||||||||
2023-11-18 | @ | Blackhawks5,Predators4 | RECAP | |||||||||||
2023-11-19 | @ | Sabres5,Blackhawks4 (OT) | RECAP | |||||||||||
2023-11-22 | @ | Blackhawks6,Blue Jackets5 (SO) | RECAP | |||||||||||
2023-11-24 | @ | Maple Leafs5,Blackhawks3 | RECAP | |||||||||||
2023-11-26 | @ | Blues2,Blackhawks0 | RECAP | |||||||||||
2023-11-28 | @ | Kraken1,Blackhawks4 | RECAP | |||||||||||
2023-11-30 | @ | Blackhawks5,Red Wings6 (SO) | RECAP | |||||||||||
2023-12-02 | @ | Blackhawks5,Jets4 (OT) | RECAP | |||||||||||
2023-12-03 | @ | Blackhawks3,Wild1 | RECAP | |||||||||||
2023-12-05 | @ | Predators5,Blackhawks4 (OT) | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,950,000$ | 0$ | 79,738,175$ | 550,000$ |
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 | 62679 | 51905 | 21378 | 41740 | 10470 |
Attendance PCT | 94.97% | 94.37% | 97.17% | 94.86% | 95.18% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 17107 - 95.04% | 1,507,719$ | 16,584,912$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,950,000$ | 82,950,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
24,259,517$ | 425,521$ | 23,569,403$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
45,231,578$ | 132 | 437,240$ | 57,715,680$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
60,371,535$ | 82,950,000$ | 46,646,048$ | 31,506,091$ |
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Priority | Type | Description |
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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 Gajan | 2023 | 67 | |||
Aidan Thompson | 2022 | 105 | |||
Angus Macdonnell | 2023 | 192 | |||
Bard Gardiner | 2023 | 99 | |||
Cedric Guindon | 2022 | 107 | |||
Charlie Leddy | 2022 | 146 | |||
Cole O'Hara | 2022 | 125 | |||
Cole Spicer | 2022 | 120 | |||
Connor Kurth | 2022 | 183 | |||
Damian Clara | 2023 | 73 | |||
Hampton Slukynsky | 2023 | 94 | |||
Jake Ryczek | |||||
Juha Jatkola | 2023 | 95 | |||
Matthew Perkins | 2023 | 137 | |||
Nathaniel Day | 2023 | 190 | |||
Nikita Ishimnikov | 2023 | 172 | |||
Oliver Moore | 2023 | 12 | |||
Patrick Thomas | 2023 | 126 | |||
Riku Tohila | 2022 | 216 | |||
Ryan Greene | 2022 | 91 | |||
Sam Rinzel | 2022 | 58 | |||
Zach Nehring | 2023 | 103 | |||
Zakhar Bardakov | 2021 | 218 |
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