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Full Scoreboard »» |
Chicago Blackhawks 23-24-8, 54pts · 12th 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/RW | 100.00 | 72 | 42 | 84 | 77 | 71 | 83 | 86 | 76 | 84 | 73 | 79 | 75 | 76 | 86 | 79 | 0 | 37 | 86 | 36 | 7,000,000$/2yrs | |||
![]() | 29 | C/RW | 100.00 | 52 | 40 | 89 | 79 | 74 | 83 | 87 | 78 | 71 | 77 | 84 | 58 | 79 | 67 | 72 | 0 | 43 | 86 | 24 | 6,962,366$/4yrs | |||
![]() | 27 | LW/RW | 100.00 | 58 | 45 | 81 | 78 | 69 | 83 | 90 | 77 | 53 | 79 | 78 | 64 | 80 | 67 | 70 | 0 | 45 | 85 | 24 | 6,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 39 | 86 | 80 | 72 | 81 | 85 | 76 | 53 | 71 | 78 | 69 | 79 | 68 | 70 | 0 | 27 | 84 | 25 | 1,700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 54 | 42 | 87 | 76 | 83 | 81 | 84 | 75 | 82 | 79 | 72 | 63 | 76 | 65 | 66 | 0 | 35 | 83 | 23 | 4,500,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 52 | 39 | 85 | 77 | 70 | 84 | 73 | 76 | 78 | 79 | 66 | 64 | 77 | 67 | 66 | 0 | 41 | 82 | 24 | 5,850,000$/6yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 74 | 39 | 77 | 68 | 87 | 83 | 86 | 72 | 85 | 69 | 71 | 66 | 73 | 85 | 82 | 0 | 53 | 81 | 35 | 2,800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 41 | 78 | 69 | 80 | 75 | 86 | 67 | 56 | 70 | 68 | 74 | 69 | 67 | 65 | 0 | 41 | 80 | 24 | 2,250,000$/2yrs | |||
![]() | 21 | LW | 100.00 | 72 | 42 | 85 | 68 | 83 | 76 | 85 | 66 | 81 | 67 | 62 | 75 | 66 | 63 | 64 | 0 | 47 | 79 | 22 | 863,333$/3yrs | |||
![]() | 0 | C | 100.00 | 58 | 46 | 85 | 67 | 81 | 88 | 72 | 65 | 81 | 63 | 66 | 77 | 67 | 79 | 71 | 0 | 37 | 79 | 31 | 4,375,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 68 | 38 | 89 | 71 | 66 | 77 | 85 | 70 | 63 | 72 | 65 | 64 | 76 | 71 | 66 | 0 | 41 | 79 | 26 | 1,600,000$/2yrs | |||
![]() | 29 | C/LW/RW | 100.00 | 62 | 40 | 88 | 67 | 70 | 73 | 69 | 65 | 71 | 68 | 61 | 62 | 66 | 63 | 61 | 0 | 45 | 75 | 22 | 788,333$/1yrs | |||
![]() | 88 | D | 100.00 | 73 | 45 | 81 | 74 | 95 | 92 | 89 | 76 | 30 | 88 | 75 | 82 | 63 | 85 | 76 | 0 | 40 | 91 | 35 | 8,000,000$/5yrs | |||
![]() | 77 | D | 100.00 | 63 | 42 | 70 | 74 | 68 | 85 | 87 | 73 | 30 | 85 | 78 | 56 | 63 | 69 | 68 | 0 | 46 | 87 | 25 | 4,700,000$/5yrs | |||
![]() | 0 | D | 100.00 | 84 | 46 | 78 | 65 | 92 | 86 | 88 | 63 | 30 | 74 | 63 | 87 | 51 | 67 | 63 | 0 | 37 | 84 | 23 | 4,000,000$/5yrs | |||
![]() | 2 | D | 100.00 | 79 | 48 | 81 | 66 | 82 | 86 | 72 | 65 | 30 | 68 | 62 | 77 | 52 | 78 | 68 | 0 | 46 | 81 | 29 | 2,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 80 | 47 | 81 | 62 | 80 | 83 | 82 | 59 | 30 | 72 | 58 | 81 | 50 | 82 | 74 | 0 | 44 | 81 | 33 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 43 | 69 | 65 | 82 | 83 | 79 | 63 | 30 | 71 | 58 | 78 | 52 | 75 | 68 | 0 | 26 | 80 | 28 | 2,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 67 | 42 | 82 | 71 | 78 | 82 | 83 | 70 | 58 | 74 | 69 | 71 | 68 | 72 | 69 | 0 | 41 | 82 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 37 | 100.00 | 96 | 95 | 93 | 88 | 95 | 94 | 96 | 95 | 94 | 96 | 95 | 73 | 77 | 0 | 24 | 93 | 27 | 6,166,666$/4yrs |
![]() | 0 | 100.00 | 88 | 86 | 84 | 70 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 78 | 84 | 0 | 41 | 86 | 30 | 2,000,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 92 | 91 | 89 | 79 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 76 | 81 | 0 | 33 | 90 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Geoff Ward | 78 | 84 | 83 | 82 | 87 | 81 | 59 | CAN | 58 | 3 | 500,000$ |
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brent Burns | 88 | D | 55 | 11 | 29 | 40 | -11 | 50 | 0 | 91 | 109 | 31 | 68 | 10.09% | 88 | 24.50 | 6 | 12 | 18 | 190 | 0 | 0 | 0 | 168 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
2 | Nikolaj Ehlers | 27 | LW/RW | 55 | 16 | 17 | 33 | -3 | 36 | 10 | 78 | 165 | 44 | 103 | 9.70% | 8 | 19.40 | 1 | 7 | 8 | 178 | 0 | 0 | 0 | 0 | 2 | 0 | 41.89% | 74 | 0 | 0 | 0 | 0 | 0.62 | 3 | 5 | ||
3 | William Nylander | 29 | C/RW | 55 | 14 | 19 | 33 | -2 | 10 | 0 | 36 | 166 | 60 | 125 | 8.43% | 6 | 20.89 | 2 | 7 | 9 | 189 | 0 | 0 | 0 | 0 | 0 | 0 | 47.15% | 123 | 0 | 0 | 0 | 0 | 0.57 | 4 | 10 | ||
4 | Dylan Strome | 0 | C | 55 | 8 | 24 | 32 | 0 | 10 | 0 | 43 | 109 | 29 | 92 | 7.34% | 7 | 19.73 | 2 | 10 | 12 | 166 | 1 | 0 | 1 | 12 | 1 | 0 | 48.00% | 1348 | 0 | 0 | 0 | 0 | 0.59 | 0 | 1 | ||
5 | Joe Pavelski | 0 | C/RW | 53 | 17 | 12 | 29 | -11 | 36 | 0 | 101 | 177 | 35 | 108 | 9.60% | 17 | 19.37 | 3 | 8 | 11 | 165 | 1 | 0 | 1 | 105 | 3 | 1 | 50.74% | 1350 | 0 | 0 | 0 | 0 | 0.56 | 3 | 5 | ||
6 | Nick Schmaltz | 0 | C/LW/RW | 55 | 7 | 20 | 27 | -5 | 4 | 0 | 15 | 92 | 38 | 91 | 7.61% | 5 | 17.42 | 2 | 7 | 9 | 180 | 0 | 0 | 0 | 25 | 0 | 0 | 47.62% | 420 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
7 | Anthony Duclair | 0 | LW/RW | 53 | 14 | 11 | 25 | -9 | 30 | 0 | 73 | 145 | 20 | 92 | 9.66% | 8 | 19.07 | 3 | 7 | 10 | 182 | 0 | 0 | 0 | 14 | 4 | 1 | 36.71% | 79 | 0 | 0 | 0 | 0 | 0.49 | 0 | 1 | ||
8 | Tony DeAngelo | 77 | D | 55 | 10 | 15 | 25 | -6 | 23 | 5 | 54 | 67 | 20 | 44 | 14.93% | 31 | 22.40 | 7 | 3 | 10 | 194 | 0 | 0 | 0 | 23 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
9 | Warren Foegele | 0 | LW/RW | 53 | 11 | 12 | 23 | 10 | 24 | 0 | 80 | 90 | 23 | 48 | 12.22% | 11 | 14.34 | 1 | 1 | 2 | 74 | 0 | 0 | 0 | 73 | 2 | 0 | 41.07% | 56 | 0 | 0 | 0 | 0 | 0.61 | 0 | 1 | ||
10 | Brandon Carlo | 0 | D | 55 | 5 | 16 | 21 | -2 | 63 | 5 | 133 | 54 | 20 | 34 | 9.26% | 97 | 21.83 | 3 | 0 | 3 | 116 | 0 | 0 | 0 | 192 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
11 | John Moore | 2 | D | 55 | 3 | 16 | 19 | 5 | 49 | 5 | 78 | 35 | 7 | 17 | 8.57% | 60 | 16.53 | 1 | 2 | 3 | 13 | 0 | 1 | 1 | 172 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
12 | Jeff Carter | 0 | C/LW/RW | 54 | 7 | 7 | 14 | 13 | 24 | 0 | 46 | 81 | 22 | 49 | 8.64% | 2 | 11.51 | 0 | 2 | 2 | 119 | 0 | 0 | 0 | 0 | 1 | 1 | 53.35% | 671 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
13 | Jon Merrill | 0 | D | 55 | 2 | 12 | 14 | -1 | 38 | 0 | 96 | 42 | 14 | 24 | 4.76% | 45 | 16.46 | 0 | 1 | 1 | 54 | 0 | 0 | 0 | 69 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
14 | Jordie Benn | 0 | D | 55 | 2 | 12 | 14 | -6 | 45 | 5 | 93 | 34 | 11 | 24 | 5.88% | 61 | 17.52 | 1 | 1 | 2 | 52 | 0 | 2 | 2 | 142 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
15 | Vinnie Hinostroza | 0 | C/RW | 55 | 5 | 8 | 13 | -7 | 10 | 0 | 22 | 54 | 16 | 59 | 9.26% | 3 | 11.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 2 | 0 | 41.25% | 80 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
16 | Brandon Sutter | 0 | C | 55 | 7 | 4 | 11 | 4 | 4 | 0 | 11 | 23 | 9 | 19 | 30.43% | 5 | 7.47 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 117 | 1 | 0 | 50.68% | 517 | 0 | 0 | 0 | 0 | 0.54 | 0 | 2 | ||
17 | Brett Howden | 21 | LW | 50 | 4 | 4 | 8 | -1 | 12 | 0 | 25 | 54 | 9 | 31 | 7.41% | 7 | 8.48 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 117 | 1 | 0 | 62.86% | 35 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
18 | Dillon Dube | 29 | C/LW/RW | 33 | 1 | 1 | 2 | -4 | 4 | 0 | 10 | 14 | 3 | 11 | 7.14% | 2 | 7.33 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 12 | 1 | 0 | 52.63% | 19 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
Team Total or Average | 956 | 144 | 239 | 383 | -36 | 472 | 30 | 1085 | 1511 | 411 | 1039 | 9.53% | 463 | 16.67 | 32 | 68 | 100 | 1896 | 2 | 3 | 5 | 1284 | 26 | 3 | 49.41% | 4772 | 0 | 0 | 0 | 0 | 0.48 | 10 | 25 |
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 | Connor Hellebuyck | 41 | 16 | 19 | 5 | 0.901 | 2.73 | 2328 | 2 | 4 | 106 | 1070 | 0 | 2 | 0 | 0.647 | 17 | 40 | 15 | 1 | 4 | 1 | |
2 | Pavel Francouz | 15 | 4 | 5 | 2 | 0.909 | 2.58 | 767 | 2 | 0 | 33 | 363 | 0 | 2 | 2 | 0.625 | 8 | 11 | 43 | 1 | 0 | 1 | |
Team Total or Average | 56 | 20 | 24 | 7 | 0.903 | 2.70 | 3095 | 4 | 4 | 139 | 1433 | 0 | 4 | 2 | 0.640 | 25 | 51 | 58 | 2 | 4 | 2 |
Projected Total Cap Hit | 76,555,698$ |
Projected Cap Space | 4,944,302$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 50,877,071$ |
Players In Salary Cap | 21 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Duclair | LW/RW | 25 | 1,700,000$ | 1,700,000$ | ![]() | ||||||
Brandon Carlo | D | 23 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||
Brandon Sutter | C | 31 | 4,375,000$ | 4,375,000$ | UFA | ||||||
Brent Burns | D | 35 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Brett Howden ![]() | LW | 22 | 863,333$ | 863,333$ | 2,000,000$ | 2,000,000$ | ![]() | ||||
Connor Hellebuyck | G | 27 | 6,166,666$ | 6,166,666$ | 6,166,666$ | 6,166,666$ | 6,166,666$ | UFA | |||
Dillon Dube ![]() | C/LW/RW | 22 | 788,333$ | 788,333$ | RFA | ||||||
Dylan Strome | C | 23 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ![]() | |||||
Jeff Carter | C/LW/RW | 35 | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | |||||
Joe Pavelski | C/RW | 36 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
John Moore | D | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Jon Merrill | D | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Jordie Benn | D | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Nick Schmaltz | C/LW/RW | 24 | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | UFA | |
Nikolaj Ehlers | LW/RW | 24 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Pavel Francouz ![]() | G | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Tony DeAngelo | D | 25 | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | UFA | ||
Vinnie Hinostroza | C/RW | 26 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Warren Foegele | LW/RW | 24 | 2,250,000$ | 2,250,000$ | 2,250,000$ | ![]() | |||||
William Nylander | C/RW | 24 | 6,962,366$ | 6,962,366$ | 6,962,366$ | 6,962,366$ | 6,962,366$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Brooks ![]() | C | 24 | 850,000$ | 850,000$ | ![]() | ||||||
Andrew Hammond ![]() | G | 32 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Blade Jenkins ![]() | LW | 20 | 803,333$ | 803,333$ | 803,333$ | 803,333$ | RFA | ||||
Brad Malone ![]() | C/LW | 31 | 700,000$ | 700,000$ | UFA | ||||||
CJ Suess ![]() | LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cam Hillis ![]() | C | 20 | 838,333$ | 838,333$ | 838,333$ | 838,333$ | RFA | ||||
Cameron Gaunce ![]() | D | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Chad Krys ![]() | D | 22 | 700,000$ | 700,000$ | RFA | ||||||
Christian Jaros ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Connor Carrick ![]() | D | 26 | 1,500,000$ | 1,500,000$ | ![]() | ||||||
Connor Corcoran ![]() | D | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Drew O'Connor ![]() | LW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jake Leschyshyn ![]() | C | 21 | 778,333$ | 778,333$ | 778,333$ | RFA | |||||
Jani Hakanpaa ![]() | D | 28 | 925,000$ | 925,000$ | UFA | ||||||
Jayce Hawryluk ![]() | C/RW | 24 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Jaycob Megna ![]() | D | 27 | 700,000$ | 700,000$ | UFA | ||||||
John Ludvig ![]() | D | 20 | 853,333$ | 853,333$ | 853,333$ | 853,333$ | RFA | ||||
Jonny Brodzinski ![]() | RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Justin Bailey ![]() | LW/RW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Logan Shaw ![]() | C/RW | 28 | 950,000$ | 950,000$ | UFA | ||||||
Luke Witkowski ![]() | RW | 30 | 700,000$ | 700,000$ | UFA | ||||||
Matias Maccelli ![]() | LW | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Oscar Dansk ![]() | G | 26 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Robby Jackson ![]() | C | 23 | 700,000$ | 700,000$ | RFA | ||||||
Scott Wilson ![]() | LW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Steve Bernier ![]() | RW | 35 | 700,000$ | 700,000$ | UFA | ||||||
Tyler Graovac ![]() | LW/RW | 27 | 950,000$ | 950,000$ | 950,000$ | 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 |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 7 | 14 | 7 | 0 | 28 | 7 | 8 | 16 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 24 | 17 | 22 | 6 | 12 | 6 | 33.3% | 7.1% | 89.3% | 96.4 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 6 | 15 | 6 | 0 | 36 | 9 | 6 | 21 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 22 | 15 | 24 | 7 | 13 | 6 | 0.0% | 0.0% | 91.7% | 91.7 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 25 | 9 | 7 | 9 | 0 | 31 | 12 | 10 | 15 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 23 | 17 | 23 | 7 | 12 | 5 | 50.0% | 12.0% | 93.5% | 105.5 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 24 | 13 | 8 | 3 | 0 | 24 | 6 | 8 | 17 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 24 | 15 | 22 | 6 | 13 | 7 | 25.0% | 8.3% | 83.3% | 91.7 | Unlucky | |
5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 5 | 0.833 | 10 | 16 | 26 | 0 | 0 | 2 | 2 | 6 | 0 | 75 | 25 | 26 | 24 | 3 | 92 | 29 | 32 | 72 | 10 | 2 | 20.00% | 16 | 2 | 87.50% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 76 | 52 | 69 | 20 | 38 | 20 | 57.1% | 13.3% | 91.3% | 104.6 | LUCKY | |
6 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 4 | 0.500 | 15 | 29 | 44 | 0 | 1 | 5 | 5 | 5 | 0 | 127 | 34 | 44 | 49 | 0 | 131 | 42 | 47 | 73 | 19 | 4 | 21.05% | 20 | 2 | 90.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 90 | 62 | 98 | 30 | 51 | 25 | 55.0% | 11.8% | 91.6% | 103.4 | LUCKY | |
7 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 4 | 0 | 1 | 1 | 60 | 25 | 15 | 16 | 8 | 58 | 15 | 18 | 48 | 5 | 1 | 20.00% | 9 | 1 | 88.89% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 50 | 35 | 48 | 15 | 26 | 12 | 36.4% | 8.3% | 86.2% | 94.5 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 23 | 5 | 10 | 8 | 0 | 28 | 4 | 14 | 28 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 24 | 16 | 21 | 6 | 13 | 6 | 50.0% | 21.7% | 85.7% | 107.5 | FUN | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 0 | 3 | 0 | 26 | 11 | 8 | 7 | 0 | 42 | 8 | 10 | 27 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 20 | 14 | 27 | 7 | 12 | 5 | 62.5% | 23.1% | 90.5% | 113.6 | FUN | |
10 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.333 | 8 | 14 | 22 | 0 | 1 | 4 | 2 | 2 | 0 | 98 | 30 | 32 | 36 | 0 | 83 | 26 | 28 | 68 | 15 | 2 | 13.33% | 12 | 1 | 91.67% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 72 | 49 | 68 | 22 | 38 | 19 | 50.0% | 8.2% | 91.6% | 99.7 | DULL | |
11 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 9 | 11 | -2 | 2 | 0.333 | 9 | 13 | 22 | 0 | 0 | 4 | 0 | 4 | 1 | 98 | 28 | 26 | 43 | 3 | 83 | 24 | 25 | 76 | 15 | 1 | 6.67% | 9 | 1 | 88.89% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 78 | 56 | 71 | 21 | 35 | 18 | 44.4% | 9.2% | 86.7% | 95.9 | FUN | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 48 | 17 | 10 | 18 | 5 | 47 | 17 | 17 | 44 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 46 | 31 | 52 | 15 | 26 | 12 | 14.3% | 6.3% | 87.2% | 93.5 | Unlucky | |
13 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 8 | 14 | -6 | 3 | 0.300 | 8 | 15 | 23 | 0 | 0 | 5 | 2 | 1 | 1 | 164 | 55 | 58 | 51 | 4 | 113 | 34 | 42 | 108 | 25 | 4 | 16.00% | 20 | 5 | 75.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 129 | 90 | 111 | 37 | 63 | 33 | 30.8% | 4.9% | 87.6% | 92.5 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 26 | 12 | 8 | 6 | 0 | 30 | 12 | 6 | 17 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 21 | 14 | 25 | 7 | 12 | 6 | 60.0% | 15.4% | 93.3% | 108.7 | LUCKY | |
15 | 5 | 2 | 1 | 0 | 0 | 1 | 1 | 0 | 15 | 12 | 3 | 7 | 0.700 | 15 | 27 | 42 | 0 | 0 | 5 | 2 | 7 | 1 | 150 | 49 | 37 | 59 | 9 | 119 | 31 | 34 | 113 | 16 | 1 | 6.25% | 17 | 2 | 88.24% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 124 | 87 | 118 | 37 | 65 | 32 | 58.3% | 10.0% | 89.9% | 99.9 | FUN | |
16 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 4 | 0.400 | 10 | 17 | 27 | 1 | 1 | 4 | 3 | 3 | 0 | 143 | 44 | 57 | 42 | 0 | 150 | 42 | 44 | 105 | 22 | 0 | 0.00% | 20 | 4 | 80.00% | 1 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 121 | 86 | 115 | 37 | 62 | 30 | 55.6% | 7.0% | 92.0% | 99.0 | DULL | |
17 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 11 | 18 | 0 | 0 | 3 | 1 | 2 | 1 | 85 | 29 | 25 | 30 | 5 | 74 | 23 | 18 | 63 | 12 | 3 | 25.00% | 9 | 1 | 88.89% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 68 | 46 | 78 | 23 | 38 | 19 | 44.4% | 8.2% | 91.9% | 100.1 | DULL | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 25 | 9 | 10 | 6 | 0 | 26 | 9 | 4 | 15 | 7 | 3 | 42.86% | 2 | 1 | 50.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 24 | 17 | 22 | 6 | 12 | 6 | 40.0% | 20.0% | 84.6% | 104.6 | FUN | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 4 | 9 | 14 | 0 | 34 | 12 | 8 | 20 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 21 | 14 | 26 | 7 | 12 | 6 | 33.3% | 3.7% | 94.1% | 97.8 | DULL | |
20 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 2 | 23 | 9 | 5 | 8 | 3 | 29 | 14 | 12 | 15 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 23 | 15 | 27 | 8 | 14 | 6 | 75.0% | 17.4% | 89.7% | 107.0 | FUN | |
21 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.500 | 6 | 12 | 18 | 0 | 1 | 2 | 1 | 3 | 0 | 83 | 26 | 29 | 28 | 0 | 84 | 33 | 26 | 62 | 12 | 0 | 0.00% | 12 | 0 | 100.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 72 | 49 | 71 | 21 | 37 | 19 | 50.0% | 7.2% | 92.9% | 100.1 | DULL | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 38 | 18 | 11 | 9 | 0 | 89 | 31 | 16 | 39 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 1 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 43 | 29 | 50 | 14 | 25 | 12 | 33.3% | 10.5% | 92.1% | 102.7 | LUCKY | |
23 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 44 | 18 | 11 | 12 | 5 | 31 | 7 | 9 | 21 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 29 | 21 | 22 | 7 | 12 | 6 | 33.3% | 2.3% | 93.5% | 95.8 | DULL | |
24 | 4 | 0 | 1 | 0 | 0 | 1 | 2 | 0 | 9 | 9 | 0 | 5 | 0.625 | 9 | 12 | 21 | 0 | 0 | 4 | 1 | 2 | 4 | 108 | 32 | 30 | 38 | 12 | 115 | 31 | 33 | 77 | 12 | 3 | 25.00% | 12 | 3 | 75.00% | 0 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 101 | 72 | 98 | 31 | 52 | 25 | 50.0% | 8.3% | 92.2% | 100.5 | DULL | |
_Vs Division | 24 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 55 | 58 | -3 | 21 | 0.438 | 55 | 100 | 155 | 1 | 4 | 23 | 15 | 16 | 2 | 744 | 236 | 256 | 248 | 14 | 666 | 207 | 214 | 500 | 111 | 13 | 11.71% | 95 | 13 | 86.32% | 1 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 584 | 407 | 566 | 180 | 304 | 154 | 48.3% | 7.4% | 91.3% | 98.7 | DULL | |
_Vs Conference | 41 | 10 | 20 | 0 | 0 | 3 | 5 | 3 | 97 | 106 | -9 | 36 | 0.439 | 97 | 167 | 264 | 1 | 4 | 39 | 19 | 34 | 8 | 1214 | 387 | 384 | 422 | 43 | 1147 | 348 | 347 | 865 | 175 | 22 | 12.57% | 147 | 21 | 85.71% | 2 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 1003 | 701 | 980 | 308 | 522 | 263 | 46.9% | 8.0% | 90.8% | 98.7 | Unlucky | |
_Since Last GM Reset | 55 | 17 | 24 | 0 | 0 | 3 | 6 | 5 | 142 | 150 | -8 | 54 | 0.491 | 142 | 246 | 388 | 1 | 4 | 56 | 29 | 51 | 11 | 1575 | 515 | 505 | 529 | 57 | 1577 | 478 | 475 | 1160 | 224 | 36 | 16.07% | 208 | 32 | 84.62% | 2 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 1337 | 931 | 1319 | 410 | 704 | 353 | 47.3% | 9.0% | 90.5% | 99.5 | FUN | |
Total | 55 | 17 | 24 | 0 | 0 | 3 | 6 | 5 | 142 | 150 | -8 | 54 | 0.491 | 142 | 246 | 388 | 1 | 4 | 56 | 29 | 51 | 11 | 1575 | 515 | 505 | 529 | 57 | 1577 | 478 | 475 | 1160 | 224 | 36 | 16.07% | 208 | 32 | 84.62% | 2 | 960 | 1876 | 51.17% | 944 | 1927 | 48.99% | 424 | 812 | 52.22% | 1337 | 931 | 1319 | 410 | 704 | 353 | 47.3% | 9.0% | 90.5% | 99.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1876 |
Neutral Zone Start | 812 |
Defensive Zone Start | 1927 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2328 |
Faceoffs Lost | 2287 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 18.5 | 20.31 |
3rd Period | 28.2 | 30.68 |
Overtime | 29.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 103 |
---|---|
PP Goal | 36 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 13 | 10 |
Lost | 10 | 14 |
Overtime Lost | 4 | 4 |
PP Attempt | 224 |
---|---|
PP Goal | 36 |
PK Attempt | 208 |
PK Goal Against | 32 |
Home | |
---|---|
Shots For | 28.6 |
Shots Against | 28.7 |
Goals For | 2.6 |
Goals Against | 2.7 |
Hits | 21.1 |
Shots Blocked | 8.7 |
Pim | 8.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-03 | @ | Blackhawks4,Oilers3 (SO) | RECAP | |||||||||||
2020-10-05 | @ | Blues2,Blackhawks1 | RECAP | |||||||||||
2020-10-07 | @ | Blackhawks4,Blues2 | RECAP | |||||||||||
2020-10-09 | @ | Jets4,Blackhawks3 (OT) | RECAP | |||||||||||
2020-10-11 | @ | Predators5,Blackhawks2 | RECAP | |||||||||||
2020-10-13 | @ | Blackhawks2,Wild3 | RECAP | |||||||||||
2020-10-14 | @ | Blackhawks2,Flames3 | RECAP | |||||||||||
2020-10-16 | @ | Stars2,Blackhawks1 (SO) | RECAP | |||||||||||
2020-10-19 | @ | Coyotes1,Blackhawks2 | RECAP | |||||||||||
2020-10-20 | @ | Blackhawks2,Avalanche4 | RECAP | |||||||||||
2020-10-24 | @ | Blackhawks1,Oilers3 | RECAP | |||||||||||
2020-10-25 | @ | Blackhawks3,Coyotes2 (SO) | RECAP | |||||||||||
2020-10-26 | @ | Predators2,Blackhawks1 (SO) | RECAP | |||||||||||
2020-10-29 | @ | Hurricanes4,Blackhawks5 | RECAP | |||||||||||
2020-11-01 | @ | Blues5,Blackhawks3 | RECAP | |||||||||||
2020-11-02 | @ | Blackhawks0,Predators2 | RECAP | |||||||||||
2020-11-05 | @ | Canucks4,Blackhawks3 | RECAP | |||||||||||
2020-11-07 | @ | Blackhawks1,Jets2 | RECAP | |||||||||||
2020-11-09 | @ | Blackhawks4,Lightning2 | RECAP | |||||||||||
2020-11-11 | @ | Canucks2,Blackhawks3 (SO) | RECAP | |||||||||||
2020-11-13 | @ | Wild0,Blackhawks4 | RECAP | |||||||||||
2020-11-15 | @ | Blackhawks1,Ducks3 | RECAP | |||||||||||
2020-11-17 | @ | Blackhawks2,Islanders4 | RECAP | |||||||||||
2020-11-19 | @ | Blackhawks3,Canucks5 | RECAP | |||||||||||
2020-11-20 | @ | Hurricanes1,Blackhawks3 | RECAP | |||||||||||
2020-11-23 | @ | Blackhawks5,Bruins4 | RECAP | |||||||||||
2020-11-24 | @ | Senators2,Blackhawks3 | RECAP | |||||||||||
2020-11-27 | @ | Blackhawks1,Blues3 | RECAP | |||||||||||
2020-11-28 | @ | Panthers2,Blackhawks1 | RECAP | |||||||||||
2020-11-30 | @ | Blackhawks3,Rangers4 (SO) | RECAP | |||||||||||
2020-12-02 | @ | Wild4,Blackhawks2 | RECAP | |||||||||||
2020-12-05 | @ | Blackhawks6,Avalanche0 | RECAP | |||||||||||
2020-12-07 | @ | Blackhawks0,Devils3 | RECAP | |||||||||||
2020-12-08 | @ | Rangers4,Blackhawks2 | RECAP | |||||||||||
2020-12-11 | @ | Coyotes3,Blackhawks2 | RECAP | |||||||||||
2020-12-13 | @ | Blackhawks3,Oilers1 | RECAP | |||||||||||
2020-12-15 | @ | Canadiens4,Blackhawks5 | RECAP | |||||||||||
2020-12-17 | @ | Blackhawks2,Hurricanes3 (SO) | RECAP | |||||||||||
2020-12-19 | @ | Blackhawks1,Blues0 | RECAP | |||||||||||
2020-12-20 | @ | Capitals4,Blackhawks6 | RECAP | |||||||||||
2020-12-24 | @ | Predators3,Blackhawks1 | RECAP | |||||||||||
2020-12-27 | @ | Kings4,Blackhawks3 (SO) | RECAP | |||||||||||
2020-12-29 | @ | Blackhawks2,Oilers3 (OT) | RECAP | |||||||||||
2020-12-31 | @ | Blackhawks0,Kings2 | RECAP | |||||||||||
2021-01-01 | @ | Avalanche2,Blackhawks4 | RECAP | |||||||||||
2021-01-03 | @ | Golden Knights2,Blackhawks3 (SO) | RECAP | |||||||||||
2021-01-05 | @ | Blackhawks2,Golden Knights3 | RECAP | |||||||||||
2021-01-08 | @ | Blackhawks4,Predators2 | RECAP | |||||||||||
2021-01-10 | @ | Golden Knights2,Blackhawks3 (SO) | RECAP | |||||||||||
2021-01-12 | @ | Ducks4,Blackhawks3 | RECAP | |||||||||||
2021-01-14 | @ | Blackhawks1,Golden Knights2 (OT) | RECAP | |||||||||||
2021-01-16 | @ | Blackhawks2,Jets0 | RECAP | |||||||||||
2021-01-18 | @ | Blue Jackets3,Blackhawks4 (SO) | RECAP | |||||||||||
2021-01-21 | @ | Oilers2,Blackhawks5 | RECAP | |||||||||||
2021-01-23 | @ | Blackhawks3,Avalanche5 | RECAP | |||||||||||
2021-01-25 | @ | |||||||||||||
2021-01-28 | @ | |||||||||||||
2021-01-30 | @ | |||||||||||||
2021-01-31 | @ | |||||||||||||
2021-02-02 | @ | |||||||||||||
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2021-02-16 | @ | |||||||||||||
2021-02-18 | @ | |||||||||||||
2021-02-20 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2021-02-22 | @ | |||||||||||||
2021-02-24 | @ | |||||||||||||
2021-02-26 | @ | |||||||||||||
2021-02-27 | @ | |||||||||||||
2021-03-02 | @ | |||||||||||||
2021-03-04 | @ | |||||||||||||
2021-03-06 | @ | |||||||||||||
2021-03-07 | @ | |||||||||||||
2021-03-10 | @ | |||||||||||||
2021-03-11 | @ | |||||||||||||
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2021-03-26 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,805,698$ | 0$ | 76,555,698$ | 3,694,302$ |
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 | 150397 | 123674 | 50717 | 103740 | 24905 |
Attendance PCT | 92.84% | 91.61% | 93.92% | 96.06% | 92.24% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 16794 - 93.30% | 1,472,673$ | 39,762,170$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,805,698$ | 77,805,698$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
51,548,879$ | 76,555,698$ | 50,877,071$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
20,617,421$ | 64 | 437,462$ | 27,997,568$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
28,968,362$ | 77,805,698$ | 37,643,638$ | 29,292,697$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
2025 |
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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 |
---|---|---|---|---|---|
Alex Beaucage | 2019 | 83 | 8.0 - 5.5 | ||
Brendan Brisson | 2020 | 25 | |||
Chad Yetman | |||||
Cole Reinhardt | |||||
Eric Florchuk | |||||
Jack Malone | 2019 | 169 | 5.5 - 5.0 | ||
Nico Daws | 2020 | 78 | |||
Tyler Angle | 2019 | 211 | 3.0 - 2.0 | ||
Victor Lodin | 2019 | 105 |
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