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Full Scoreboard »» |
Chicago Blackhawks Team Overall:76 18-15-0, 36pts · 7th in Conférence Ouest |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C/LW/RW | 6' 1" | 194 | 29 | 73 | 43 | 82 | 87 | 76 | 89 | 81 | 86 | 83 | 85 | 88 | 69 | 87 | 78 | 91 | 0 | 40 | 83 | 100.00 | 8,500,000$/3yrs | |
0 | ![]() | RW | 6' 0" | 195 | 33 | 82 | 39 | 81 | 77 | 73 | 84 | 85 | 78 | 71 | 76 | 79 | 72 | 81 | 84 | 78 | 0 | 40 | 79 | 100.00 | 5,750,000$/3yrs | |
0 | ![]() | C/LW/RW | 6' 1" | 200 | 28 | 82 | 52 | 74 | 78 | 77 | 84 | 86 | 76 | 82 | 80 | 75 | 63 | 78 | 77 | 73 | 0 | 40 | 78 | 100.00 | 5,125,000$/3yrs | |
0 | ![]() | LW | 6' 3" | 217 | 28 | 84 | 51 | 69 | 80 | 87 | 83 | 86 | 77 | 62 | 73 | 79 | 59 | 78 | 77 | 74 | 0 | 40 | 78 | 100.00 | 4,625,000$/3yrs | |
0 | ![]() | LW/RW | 6' 5" | 234 | 25 | 73 | 52 | 79 | 76 | 96 | 88 | 84 | 74 | 58 | 77 | 80 | 59 | 76 | 71 | 69 | 0 | 40 | 77 | 100.00 | 3,300,000$/3yrs | |
0 | ![]() | RW | 6' 1" | 208 | 22 | 54 | 41 | 86 | 80 | 79 | 85 | 83 | 78 | 56 | 79 | 77 | 62 | 80 | 65 | 66 | 0 | 40 | 76 | 100.00 | 5,875,000$/3yrs | |
0 | ![]() | C | 6' 2" | 205 | 30 | 67 | 43 | 77 | 72 | 81 | 82 | 89 | 71 | 85 | 73 | 69 | 84 | 73 | 79 | 72 | 0 | 40 | 76 | 100.00 | 3,500,000$/3yrs | |
0 | ![]() | RW | 6' 0" | 196 | 23 | 53 | 39 | 88 | 79 | 74 | 85 | 82 | 78 | 71 | 76 | 77 | 63 | 79 | 67 | 72 | 0 | 40 | 76 | 100.00 | 6,962,366$/3yrs | |
0 | ![]() | LW/RW | 6' 0" | 180 | 28 | 97 | 48 | 83 | 65 | 70 | 77 | 88 | 64 | 53 | 67 | 66 | 87 | 64 | 77 | 73 | 0 | 40 | 75 | 100.00 | 3,500,000$/3yrs | |
0 | ![]() | C/LW/RW | 6' 1" | 200 | 26 | 80 | 43 | 85 | 66 | 77 | 79 | 84 | 65 | 82 | 64 | 67 | 84 | 65 | 73 | 69 | 0 | 40 | 74 | 100.00 | 2,857,143$/3yrs | |
0 | ![]() | LW | 6' 4" | 220 | 22 | 96 | 61 | 73 | 68 | 90 | 73 | 88 | 66 | 58 | 64 | 67 | 76 | 68 | 65 | 66 | 0 | 40 | 74 | 100.00 | 1,533,333$/3yrs | |
0 | ![]() | C | 5' 11" | 201 | 20 | 69 | 39 | 88 | 74 | 72 | 82 | 90 | 73 | 80 | 76 | 68 | 62 | 73 | 61 | 64 | 0 | 40 | 74 | 100.00 | 1,325,833$/3yrs | |
0 | ![]() | D | 6' 1" | 202 | 30 | 84 | 41 | 79 | 77 | 78 | 93 | 88 | 76 | 30 | 81 | 67 | 70 | 54 | 79 | 73 | 0 | 40 | 78 | 100.00 | 11,000,000$/3yrs | |
0 | ![]() | D | 6' 2" | 190 | 22 | 73 | 42 | 76 | 79 | 80 | 92 | 86 | 78 | 30 | 84 | 71 | 63 | 58 | 65 | 73 | 0 | 40 | 78 | 100.00 | 1,223,333$/3yrs | |
0 | ![]() | D | 5' 11" | 180 | 24 | 65 | 51 | 67 | 74 | 68 | 85 | 82 | 73 | 30 | 83 | 72 | 58 | 61 | 69 | 68 | 0 | 40 | 75 | 100.00 | 925,000$/3yrs | |
0 | ![]() | D | 6' 3" | 206 | 25 | 59 | 45 | 83 | 67 | 85 | 87 | 84 | 66 | 30 | 75 | 64 | 90 | 52 | 71 | 66 | 0 | 40 | 74 | 100.00 | 4,025,000$/3yrs | |
0 | ![]() | D | 6' 4" | 207 | 28 | 83 | 43 | 86 | 64 | 88 | 87 | 78 | 63 | 30 | 75 | 57 | 90 | 52 | 77 | 69 | 0 | 40 | 74 | 100.00 | 4,100,000$/3yrs | |
0 | ![]() | D | 6' 0" | 195 | 20 | 76 | 39 | 81 | 69 | 73 | 83 | 84 | 68 | 30 | 73 | 57 | 66 | 54 | 61 | 63 | 0 | 40 | 71 | 100.00 | 1,279,166$/3yrs | |
Scratches | ||||||||||||||||||||||||||
0 | ![]() | LW | 6' 2" | 218 | 25 | 99 | 48 | 78 | 66 | 84 | 75 | 82 | 64 | 56 | 63 | 65 | 62 | 64 | 71 | 67 | 0 | 40 | 72 | 100.00 | 725,000$/3yrs | |
0 | ![]() | D | 6' 2" | 204 | 26 | 73 | 45 | 84 | 63 | 81 | 74 | 80 | 62 | 30 | 73 | 55 | 69 | 50 | 73 | 67 | 0 | 40 | 71 | 100.00 | 1,663,333$/1yrs |
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 | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 6' 2" | 207 | 26 | 92 | 93 | 95 | 92 | 92 | 91 | 73 | 77 | 0 | 40 | 78 | 100.00 | 6,400,000$/3yrs | |||||||
0 | ![]() | 5' 11" | 195 | 33 | 90 | 93 | 95 | 90 | 90 | 89 | 84 | 88 | 0 | 40 | 77 | 100.00 | 2,500,000$/2yrs | |||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Lindy Ruff | 87 | 89 | 89 | 88 | 85 | 97 | 1 | CAN | 58 | 2 | 5,000,000$ |
General Manager | Tutelle |
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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 | Drew Doughty | 0 | D | 33 | 6 | 15 | 21 | -6 | 30 | 0 | 88 | 60 | 18 | 35 | 10.00% | 61 | 24.71 | 3 | 4 | 7 | 116 | 0 | 0 | 0 | 100 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
2 | Brayden Schenn | 0 | C/LW/RW | 33 | 7 | 11 | 18 | 3 | 18 | 0 | 67 | 82 | 17 | 62 | 8.54% | 6 | 17.65 | 2 | 2 | 4 | 111 | 0 | 0 | 0 | 4 | 1 | 1 | 53.42% | 732 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
3 | Brett Pesce | 0 | D | 30 | 4 | 14 | 18 | 5 | 20 | 0 | 21 | 28 | 12 | 19 | 14.29% | 43 | 17.64 | 1 | 1 | 2 | 22 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
4 | Brock Boeser | 0 | RW | 32 | 10 | 8 | 18 | -1 | 2 | 0 | 13 | 81 | 24 | 67 | 12.35% | 2 | 17.44 | 4 | 1 | 5 | 107 | 0 | 0 | 0 | 0 | 2 | 0 | 48.78% | 41 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | ||
5 | Nick Suzuki | 0 | C | 33 | 4 | 14 | 18 | -5 | 18 | 0 | 34 | 59 | 15 | 43 | 6.78% | 8 | 17.30 | 0 | 5 | 5 | 102 | 0 | 0 | 0 | 0 | 2 | 0 | 50.65% | 693 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
6 | Thomas Chabot | 0 | D | 33 | 3 | 13 | 16 | -8 | 16 | 0 | 48 | 53 | 9 | 36 | 5.66% | 43 | 24.62 | 0 | 5 | 5 | 116 | 0 | 0 | 0 | 106 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
7 | Tony DeAngelo | 0 | D | 33 | 5 | 11 | 16 | 11 | 27 | 5 | 63 | 35 | 8 | 12 | 14.29% | 26 | 21.45 | 1 | 1 | 2 | 98 | 1 | 0 | 1 | 89 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
8 | Brian Dumoulin | 0 | D | 33 | 3 | 12 | 15 | -3 | 42 | 0 | 59 | 41 | 9 | 19 | 7.32% | 45 | 18.52 | 2 | 1 | 3 | 78 | 0 | 1 | 1 | 93 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.49 | 0 | 0 | ||
9 | Steven Stamkos | 0 | C/LW/RW | 18 | 4 | 11 | 15 | 3 | 4 | 0 | 15 | 78 | 17 | 45 | 5.13% | 2 | 17.51 | 0 | 4 | 4 | 61 | 0 | 0 | 0 | 0 | 1 | 0 | 54.55% | 44 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | ||
10 | William Nylander | 0 | RW | 33 | 8 | 7 | 15 | -4 | 0 | 0 | 4 | 74 | 15 | 59 | 10.81% | 2 | 17.18 | 3 | 0 | 3 | 99 | 0 | 0 | 0 | 0 | 4 | 0 | 35.71% | 42 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
11 | Anthony Mantha | 0 | LW/RW | 33 | 4 | 10 | 14 | -6 | 52 | 20 | 80 | 63 | 14 | 56 | 6.35% | 4 | 18.00 | 1 | 4 | 5 | 100 | 0 | 0 | 0 | 19 | 1 | 0 | 45.71% | 35 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
12 | T.J. Oshie | 0 | RW | 33 | 8 | 5 | 13 | 3 | 18 | 0 | 28 | 71 | 18 | 44 | 11.27% | 3 | 11.56 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 48.00% | 25 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
13 | Lars Eller | 0 | C | 33 | 4 | 8 | 12 | 1 | 4 | 0 | 11 | 62 | 13 | 47 | 6.45% | 11 | 15.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0 | 0 | 51.71% | 733 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
14 | Chris Kreider | 0 | LW | 33 | 5 | 6 | 11 | 0 | 32 | 0 | 64 | 66 | 14 | 41 | 7.58% | 1 | 13.40 | 0 | 1 | 1 | 53 | 0 | 0 | 0 | 0 | 2 | 0 | 48.39% | 31 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
15 | Brandon Tanev | 0 | LW/RW | 33 | 2 | 7 | 9 | 1 | 6 | 0 | 25 | 38 | 12 | 32 | 5.26% | 5 | 10.98 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 122 | 0 | 0 | 37.78% | 45 | 0 | 0 | 1 | 0 | 0.50 | 0 | 0 | ||
16 | Colton Sissons | 0 | C/LW/RW | 33 | 6 | 3 | 9 | 3 | 4 | 0 | 9 | 25 | 4 | 22 | 24.00% | 4 | 9.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 0 | 1 | 52.35% | 319 | 0 | 0 | 1 | 0 | 0.59 | 0 | 0 | ||
17 | Lawson Crouse | 0 | LW | 33 | 2 | 4 | 6 | 1 | 16 | 0 | 33 | 33 | 6 | 23 | 6.06% | 5 | 9.21 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 79 | 0 | 0 | 40.00% | 25 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
18 | Henri Jokiharju | 0 | D | 30 | 1 | 1 | 2 | -4 | 14 | 0 | 35 | 6 | 2 | 5 | 16.67% | 16 | 13.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | ||
19 | Scott Harrington | 0 | D | 6 | 1 | 1 | 2 | 3 | 0 | 0 | 7 | 1 | 0 | 4 | 100.00% | 5 | 15.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
20 | William Carrier | 0 | LW | 16 | 1 | 0 | 1 | 0 | 8 | 0 | 32 | 9 | 1 | 8 | 11.11% | 7 | 13.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8.33% | 12 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | ||
Team Total or Average | 594 | 88 | 161 | 249 | -3 | 331 | 25 | 736 | 965 | 228 | 679 | 9.12% | 299 | 16.27 | 17 | 29 | 46 | 1084 | 1 | 2 | 3 | 894 | 18 | 4 | 51.06% | 2777 | 0 | 0 | 3 | 0 | 0.52 | 0 | 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 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 | John Gibson | 30 | 16 | 13 | 0 | 0.899 | 2.82 | 1702 | 0 | 3 | 80 | 792 | 0 | 1 | 0 | 0.000 | 0 | 29 | 4 | 5 | 0 | 1 | |
2 | Anton Khudobin | 7 | 2 | 2 | 0 | 0.878 | 3.40 | 282 | 0 | 0 | 16 | 131 | 0 | 0 | 0 | 0.000 | 0 | 4 | 29 | 0 | 0 | 0 | |
Team Total or Average | 37 | 18 | 15 | 0 | 0.896 | 2.90 | 1985 | 0 | 3 | 96 | 923 | 0 | 1 | 0 | 0.000 | 0 | 33 | 33 | 5 | 0 | 1 |
Projected Total Cap Hit | 86,694,507$ |
Projected Cap Space | 4,805,493$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 |
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Anthony Mantha ![]() | LW/RW | 25 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | |||||
Anton Khudobin ![]() | D | 33 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Brandon Tanev ![]() | LW/RW | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Brayden Schenn ![]() | C/LW/RW | 28 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | |||||
Brett Pesce ![]() | D | 25 | 4,025,000$ | 4,025,000$ | 4,025,000$ | 4,025,000$ | |||||
Brian Dumoulin ![]() | D | 28 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | |||||
Brock Boeser ![]() | RW | 22 | 5,875,000$ | 5,875,000$ | 5,875,000$ | 5,875,000$ | |||||
Chris Kreider ![]() | LW | 28 | 4,625,000$ | 4,625,000$ | 4,625,000$ | 4,625,000$ | |||||
Colton Sissons ![]() | C/LW/RW | 26 | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | |||||
Drew Doughty ![]() | D | 30 | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | |||||
Henri Jokiharju ![]() | D | 20 | 1,279,166$ | 1,279,166$ | 1,279,166$ | 1,279,166$ | |||||
John Gibson ![]() | D | 26 | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | |||||
Lars Eller ![]() | C | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Lawson Crouse ![]() | LW | 22 | 1,533,333$ | 1,533,333$ | 1,533,333$ | 1,533,333$ | |||||
Nick Suzuki ![]() | C | 20 | 1,325,833$ | 1,325,833$ | 1,325,833$ | 1,325,833$ | |||||
Scott Harrington ![]() | D | 26 | 1,663,333$ | 1,663,333$ | |||||||
Steven Stamkos ![]() | C/LW/RW | 29 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | |||||
T.J. Oshie ![]() | RW | 33 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | |||||
Thomas Chabot ![]() | D | 22 | 1,223,333$ | 1,223,333$ | 1,223,333$ | 1,223,333$ | |||||
Tony DeAngelo ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
William Carrier ![]() | LW | 25 | 725,000$ | 725,000$ | 725,000$ | 725,000$ | |||||
William Nylander ![]() | RW | 23 | 6,962,366$ | 6,962,366$ | 6,962,366$ | 6,962,366$ |
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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 |
# | 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 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 19 | 7 | 3 | 9 | 0 | 21 | 9 | 8 | 26 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 21 | 13 | 26 | 7 | 12 | 6 | 33.3% | 5.3% | 85.7% | 91.0 | Unlucky | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 5 | 2 | 2 | 0 | 69 | 14 | 38 | 17 | 0 | 70 | 16 | 12 | 41 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 45 | 32 | 50 | 13 | 24 | 12 | 53.8% | 13.0% | 90.0% | 103.0 | FUN | |
3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 63 | 14 | 26 | 20 | 3 | 51 | 20 | 14 | 46 | 9 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 48 | 33 | 48 | 16 | 27 | 13 | 57.1% | 6.3% | 90.2% | 96.5 | Unlucky | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 21 | 10 | 4 | 7 | 0 | 31 | 14 | 12 | 24 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 1 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 22 | 15 | 25 | 7 | 12 | 5 | 57.1% | 19.0% | 83.9% | 102.9 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 3 | 4 | 2 | 0 | 41 | 12 | 16 | 13 | 0 | 74 | 18 | 18 | 41 | 4 | 1 | 25.00% | 8 | 3 | 62.50% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 41 | 28 | 54 | 13 | 23 | 11 | 53.3% | 22.0% | 86.5% | 108.4 | FUN | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 1 | 3 | 0 | 0 | 72 | 18 | 36 | 18 | 0 | 43 | 13 | 8 | 51 | 14 | 2 | 14.29% | 4 | 0 | 100.00% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 52 | 37 | 43 | 14 | 23 | 12 | 66.7% | 5.6% | 97.7% | 103.2 | DULL | |
7 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 6 | 0.750 | 10 | 20 | 30 | 0 | 1 | 3 | 4 | 3 | 0 | 114 | 49 | 35 | 30 | 0 | 112 | 43 | 58 | 95 | 15 | 1 | 6.67% | 23 | 2 | 91.30% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 93 | 62 | 97 | 29 | 48 | 24 | 60.0% | 8.8% | 92.9% | 101.6 | DULL | |
8 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 2 | 2 | 0 | 1 | 69 | 17 | 23 | 24 | 5 | 55 | 16 | 10 | 39 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 54 | 38 | 45 | 14 | 24 | 12 | 57.1% | 7.2% | 94.5% | 101.8 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 16 | 3 | 7 | 0 | 32 | 9 | 6 | 29 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 24 | 17 | 23 | 7 | 11 | 5 | 16.7% | 3.8% | 84.4% | 88.2 | Unlucky | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 27 | 12 | 9 | 6 | 0 | 34 | 2 | 10 | 27 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 23 | 17 | 26 | 6 | 9 | 4 | 28.6% | 11.1% | 85.3% | 96.4 | FUN | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 58 | 18 | 20 | 20 | 0 | 50 | 18 | 24 | 48 | 7 | 1 | 14.29% | 9 | 5 | 44.44% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 47 | 31 | 45 | 14 | 26 | 13 | 50.0% | 5.2% | 86.0% | 91.2 | Unlucky | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 2 | 1 | 0 | 58 | 24 | 21 | 13 | 0 | 76 | 23 | 16 | 53 | 3 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 45 | 32 | 50 | 14 | 24 | 11 | 53.8% | 12.1% | 89.5% | 101.5 | FUN | |
13 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 0.500 | 11 | 21 | 32 | 0 | 0 | 4 | 2 | 5 | 0 | 146 | 51 | 48 | 47 | 0 | 92 | 33 | 39 | 65 | 21 | 4 | 19.05% | 15 | 3 | 80.00% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 111 | 81 | 82 | 26 | 45 | 23 | 50.0% | 7.5% | 89.1% | 96.7 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 52 | 14 | 22 | 16 | 0 | 63 | 30 | 25 | 43 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 43 | 29 | 52 | 15 | 23 | 11 | 50.0% | 9.6% | 92.1% | 101.7 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 2 | 3 | 0 | 64 | 20 | 24 | 20 | 0 | 56 | 14 | 24 | 37 | 8 | 2 | 25.00% | 12 | 1 | 91.67% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 47 | 32 | 49 | 13 | 23 | 12 | 50.0% | 12.5% | 87.5% | 100.0 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 27 | 6 | 11 | 10 | 0 | 19 | 6 | 6 | 18 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 23 | 16 | 24 | 7 | 12 | 5 | 66.7% | 11.1% | 94.7% | 105.8 | LUCKY | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 39 | 12 | 13 | 14 | 0 | 44 | 15 | 39 | 53 | 8 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 43 | 28 | 51 | 15 | 24 | 12 | 20.0% | 2.6% | 86.4% | 88.9 | Unlucky | |
_Vs Division | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 20 | 19 | 1 | 12 | 0.667 | 20 | 37 | 57 | 0 | 2 | 7 | 8 | 5 | 0 | 264 | 97 | 96 | 71 | 0 | 250 | 95 | 97 | 218 | 39 | 4 | 10.26% | 40 | 3 | 92.50% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 214 | 146 | 218 | 66 | 107 | 53 | 50.0% | 7.6% | 92.4% | 100.0 | DULL | |
_Vs Conference | 15 | 6 | 8 | 0 | 1 | 0 | 0 | 0 | 29 | 38 | -9 | 14 | 0.467 | 29 | 54 | 83 | 0 | 2 | 13 | 10 | 5 | 1 | 412 | 142 | 147 | 120 | 3 | 400 | 141 | 168 | 370 | 61 | 5 | 8.20% | 66 | 8 | 87.88% | 0 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 351 | 240 | 371 | 111 | 181 | 90 | 44.4% | 7.0% | 90.5% | 97.5 | Unlucky | |
_Since Last GM Reset | 33 | 16 | 15 | 0 | 2 | 0 | 0 | 0 | 88 | 96 | -8 | 36 | 0.545 | 88 | 160 | 248 | 0 | 3 | 38 | 27 | 21 | 2 | 965 | 314 | 352 | 291 | 8 | 923 | 299 | 329 | 736 | 125 | 17 | 13.60% | 138 | 25 | 81.88% | 1 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 790 | 548 | 798 | 237 | 399 | 200 | 50.0% | 9.1% | 89.6% | 98.7 | FUN | |
Total | 33 | 16 | 15 | 0 | 2 | 0 | 0 | 0 | 88 | 96 | -8 | 36 | 0.545 | 88 | 160 | 248 | 0 | 3 | 38 | 27 | 21 | 2 | 965 | 314 | 352 | 291 | 8 | 923 | 299 | 329 | 736 | 125 | 17 | 13.60% | 138 | 25 | 81.88% | 1 | 610 | 1144 | 53.32% | 567 | 1120 | 50.63% | 241 | 502 | 48.01% | 790 | 548 | 798 | 237 | 399 | 200 | 50.0% | 9.1% | 89.6% | 98.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1144 |
Neutral Zone Start | 502 |
Defensive Zone Start | 1120 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1418 |
Faceoffs Lost | 1348 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 20.2 | 20.31 |
3rd Period | 29.0 | 30.68 |
Overtime | 29.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 70 |
---|---|
PP Goal | 17 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 13 | 5 |
Lost | 4 | 11 |
Overtime Lost | 0 | 0 |
PP Attempt | 125 |
---|---|
PP Goal | 17 |
PK Attempt | 138 |
PK Goal Against | 25 |
Home | |
---|---|
Shots For | 29.2 |
Shots Against | 28.0 |
Goals For | 2.7 |
Goals Against | 2.9 |
Hits | 22.3 |
Shots Blocked | 9.1 |
Pim | 10.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-11-21 | @ | Blackhawks1,Predators5 | RECAP | ||
2020-11-23 | @ | Red Wings1,Blackhawks2 | RECAP | ||
2020-11-25 | @ | Blackhawks2,Islanders5 | RECAP | ||
2020-11-26 | @ | Sabres1,Blackhawks2 | RECAP | ||
2020-11-28 | @ | Blackhawks2,Red Wings0 | RECAP | ||
2020-11-30 | @ | Blackhawks0,Avalanche5 | RECAP | ||
2020-12-02 | @ | Jets1,Blackhawks2 | RECAP | ||
2020-12-04 | @ | Islanders3,Blackhawks5 | RECAP | ||
2020-12-07 | @ | Blackhawks4,Canadiens2 | RECAP | ||
2020-12-09 | @ | Sabres3,Blackhawks6 | RECAP | ||
2020-12-10 | @ | Blackhawks1,Golden Knights3 | RECAP | ||
2020-12-12 | @ | Golden Knights3,Blackhawks0 | RECAP | ||
2020-12-15 | @ | Blackhawks3,Jets4 | RECAP | ||
2020-12-17 | @ | Avalanche1,Blackhawks2 | RECAP | ||
2020-12-19 | @ | Blackhawks5,Rangers3 | RECAP | ||
2020-12-21 | @ | Oilers5,Blackhawks3 | RECAP | ||
2020-12-22 | @ | Blackhawks3,Panthers1 | RECAP | ||
2020-12-24 | @ | Blackhawks0,Bruins5 | RECAP | ||
2020-12-26 | @ | Bruins2,Blackhawks3 | RECAP | ||
2020-12-27 | @ | Flames3,Blackhawks1 | RECAP | ||
2020-12-29 | @ | Maple Leafs3,Blackhawks4 | RECAP | ||
2021-01-03 | @ | Senators4,Blackhawks5 | RECAP | ||
2021-01-04 | @ | Blackhawks4,Hurricanes5 | RECAP | ||
2021-01-06 | @ | Blackhawks1,Sabres3 | RECAP | ||
2021-01-08 | @ | Senators3,Blackhawks4 | RECAP | ||
2021-01-10 | @ | Blackhawks4,Rangers7 | RECAP | ||
2021-01-12 | @ | Avalanche0,Blackhawks4 | RECAP | ||
2021-01-13 | @ | Blackhawks2,Sabres3 | RECAP | ||
2021-01-15 | @ | Maple Leafs0,Blackhawks1 (OT) | RECAP | ||
2021-01-18 | @ | Canadiens5,Blackhawks4 | RECAP | ||
2021-01-19 | @ | Blackhawks4,Avalanche2 | RECAP | ||
2021-01-21 | @ | Blackhawks1,Kings3 | RECAP | ||
2021-01-23 | @ | Kings2,Blackhawks3 (OT) | RECAP | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
86,694,507$ | 0$ | 86,694,507$ | 4,805,493$ |
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 | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
24 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
86,694,507$ | 86,694,507$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 86,694,507$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 99 | 539,379$ | 53,398,521$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
67,854,600$ | 86,694,507$ | 10,000,000$ | -57,854,600$ |
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GOALIE | ||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Cam York |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Cam York |
|