Full Scoreboard »» |
Chicago Blackhawks Team Overall:70 0-0-0, 0pts |
# | 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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | LW | 6' 2" | 201 | 25 | 72 | 68 | 72 | 77 | 78 | 84 | 91 | 87 | 58 | 93 | 82 | 69 | 59 | 71 | 68 | 0 | 40 | 83 | 100.00 | 7,000,000$/1yrs | |
0 | ![]() | C | 6' 0" | 176 | 25 | 75 | 40 | 77 | 86 | 68 | 82 | 90 | 76 | 80 | 81 | 84 | 73 | 73 | 71 | 66 | 0 | 40 | 81 | 100.00 | 8,454,000$/1yrs | |
0 | ![]() | LW | 6' 4" | 221 | 23 | 88 | 76 | 74 | 75 | 86 | 80 | 95 | 78 | 75 | 85 | 79 | 66 | 54 | 66 | 72 | 0 | 40 | 80 | 100.00 | 3,425,000$/1yrs | |
0 | ![]() | LW | 5' 11" | 180 | 28 | 73 | 40 | 77 | 78 | 71 | 84 | 92 | 77 | 56 | 82 | 81 | 63 | 58 | 69 | 59 | 0 | 40 | 78 | 100.00 | 6,000,000$/1yrs | |
0 | ![]() | C | 6' 1" | 190 | 25 | 66 | 40 | 82 | 96 | 74 | 80 | 82 | 75 | 55 | 85 | 71 | 66 | 68 | 68 | 59 | 0 | 40 | 78 | 100.00 | 1,263,000$/1yrs | |
0 | ![]() | C | 6' 3" | 200 | 26 | 68 | 40 | 85 | 73 | 76 | 75 | 88 | 73 | 76 | 83 | 73 | 68 | 54 | 66 | 59 | 0 | 40 | 76 | 100.00 | 3,338,000$/1yrs | |
0 | ![]() | LW | 6' 0" | 190 | 28 | 71 | 64 | 84 | 74 | 75 | 85 | 90 | 69 | 79 | 81 | 68 | 78 | 54 | 68 | 59 | 0 | 40 | 76 | 100.00 | 3,500,000$/1yrs | |
0 | ![]() | C | 6' 0" | 184 | 30 | 69 | 40 | 90 | 74 | 72 | 74 | 88 | 65 | 77 | 75 | 75 | 74 | 81 | 63 | 58 | 0 | 40 | 75 | 100.00 | 666,666$/1yrs | |
0 | ![]() | RW | 6' 3" | 218 | 29 | 81 | 64 | 77 | 73 | 86 | 76 | 87 | 65 | 60 | 72 | 73 | 67 | 61 | 69 | 65 | 0 | 40 | 74 | 100.00 | 1,850,000$/1yrs | |
0 | ![]() | C | 5' 10" | 194 | 28 | 64 | 66 | 78 | 77 | 80 | 78 | 89 | 71 | 82 | 80 | 69 | 62 | 54 | 73 | 60 | 0 | 40 | 74 | 100.00 | 3,150,000$/1yrs | |
0 | ![]() | RW | 6' 2" | 212 | 26 | 73 | 40 | 86 | 64 | 84 | 71 | 88 | 62 | 54 | 73 | 67 | 76 | 54 | 67 | 59 | 0 | 40 | 72 | 100.00 | 1,075,833$/1yrs | |
0 | ![]() | C | 6' 3" | 214 | 25 | 76 | 75 | 85 | 67 | 84 | 64 | 88 | 63 | 60 | 73 | 70 | 75 | 54 | 60 | 58 | 0 | 40 | 72 | 100.00 | 1,137,500$/1yrs | |
0 | ![]() | LW | 6' 2" | 205 | 27 | 74 | 40 | 92 | 66 | 80 | 69 | 88 | 62 | 53 | 73 | 67 | 74 | 54 | 63 | 58 | 0 | 40 | 71 | 100.00 | 874,125$/1yrs | |
0 | ![]() | C | 6' 3" | 197 | 27 | 74 | 40 | 88 | 66 | 75 | 74 | 77 | 62 | 52 | 76 | 63 | 74 | 54 | 62 | 58 | 0 | 40 | 71 | 100.00 | 758,333$/1yrs | |
0 | ![]() | LW | 6' 3" | 220 | 34 | 93 | 75 | 87 | 61 | 87 | 62 | 94 | 60 | 55 | 72 | 62 | 74 | 54 | 84 | 61 | 0 | 40 | 71 | 100.00 | 1,500,000$/2yrs | |
0 | ![]() | C | 6' 1" | 191 | 29 | 67 | 67 | 74 | 71 | 74 | 76 | 91 | 66 | 69 | 77 | 67 | 59 | 57 | 77 | 65 | 0 | 40 | 71 | 100.00 | 3,100,000$/1yrs | |
0 | ![]() | C | 5' 11" | 187 | 25 | 72 | 66 | 84 | 69 | 75 | 67 | 89 | 62 | 60 | 76 | 63 | 75 | 54 | 68 | 59 | 0 | 40 | 71 | 100.00 | 1,673,333$/1yrs | |
0 | ![]() | RW | 6' 2" | 210 | 21 | 74 | 40 | 87 | 68 | 83 | 63 | 80 | 66 | 51 | 76 | 67 | 65 | 57 | 58 | 58 | 0 | 40 | 71 | 100.00 | 1,035,833$/2yrs | |
0 | ![]() | C | 6' 4" | 215 | 24 | 73 | 40 | 88 | 66 | 83 | 63 | 67 | 64 | 70 | 76 | 63 | 70 | 54 | 56 | 58 | 0 | 40 | 70 | 100.00 | 850,000$/1yrs | |
0 | ![]() | LW | 6' 2" | 206 | 24 | 77 | 65 | 85 | 68 | 81 | 64 | 77 | 61 | 53 | 73 | 62 | 72 | 54 | 58 | 58 | 0 | 40 | 70 | 100.00 | 894,166$/1yrs | |
0 | ![]() | C | 6' 3" | 206 | 27 | 87 | 69 | 83 | 62 | 79 | 63 | 82 | 61 | 64 | 72 | 65 | 72 | 54 | 58 | 58 | 0 | 40 | 70 | 100.00 | 750,000$/3yrs | |
0 | ![]() | C | 6' 0" | 180 | 24 | 75 | 40 | 95 | 71 | 70 | 63 | 82 | 61 | 52 | 72 | 65 | 73 | 58 | 60 | 58 | 0 | 40 | 70 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C | 6' 1" | 205 | 28 | 83 | 64 | 86 | 64 | 82 | 61 | 90 | 58 | 56 | 69 | 65 | 76 | 54 | 64 | 59 | 0 | 40 | 70 | 100.00 | 1,000,000$/1yrs | |
0 | ![]() | LW | 5' 11" | 185 | 27 | 78 | 40 | 79 | 68 | 74 | 64 | 84 | 57 | 53 | 67 | 64 | 75 | 54 | 59 | 58 | 0 | 40 | 69 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C | 6' 1" | 208 | 32 | 56 | 59 | 64 | 62 | 67 | 67 | 65 | 64 | 69 | 59 | 67 | 57 | 54 | 72 | 63 | 0 | 40 | 65 | 100.00 | 750,000$/2yrs | |
0 | ![]() | RW | 6' 1" | 179 | 24 | 56 | 61 | 61 | 62 | 60 | 68 | 67 | 64 | 55 | 60 | 65 | 63 | 57 | 61 | 56 | 0 | 40 | 64 | 100.00 | 1,125,000$/1yrs | |
0 | ![]() | C | 6' 1" | 202 | 32 | 56 | 55 | 66 | 61 | 68 | 66 | 63 | 59 | 70 | 60 | 58 | 61 | 54 | 71 | 62 | 0 | 40 | 63 | 100.00 | 725,000$/3yrs | |
0 | ![]() | RW | 6' 6" | 232 | 31 | 58 | 53 | 65 | 59 | 77 | 65 | 63 | 57 | 55 | 59 | 58 | 61 | 54 | 70 | 62 | 0 | 40 | 62 | 100.00 | 750,000$/2yrs | |
0 | ![]() | C/LW | 6' 6" | 201 | 24 | 56 | 54 | 63 | 57 | 69 | 63 | 62 | 57 | 55 | 57 | 56 | 58 | 54 | 59 | 55 | 0 | 40 | 60 | 100.00 | 863,333$/1yrs | |
0 | ![]() | C | 6' 1" | 205 | 38 | 56 | 54 | 65 | 55 | 66 | 60 | 59 | 55 | 70 | 55 | 54 | 58 | 54 | 85 | 70 | 0 | 40 | 59 | 100.00 | 1,000,000$/1yrs | |
0 | ![]() | D | 6' 1" | 222 | 29 | 68 | 64 | 86 | 81 | 91 | 88 | 88 | 69 | 40 | 84 | 60 | 78 | 54 | 78 | 71 | 0 | 40 | 78 | 100.00 | 6,666,666$/2yrs | |
0 | ![]() | D | 6' 1" | 181 | 26 | 73 | 40 | 84 | 89 | 69 | 86 | 87 | 61 | 40 | 75 | 61 | 92 | 54 | 62 | 58 | 0 | 40 | 77 | 100.00 | 1,775,000$/1yrs | |
0 | ![]() | D | 6' 6" | 248 | 28 | 77 | 66 | 73 | 77 | 96 | 80 | 93 | 60 | 40 | 69 | 67 | 84 | 54 | 73 | 59 | 0 | 40 | 76 | 100.00 | 3,566,667$/2yrs | |
0 | ![]() | D | 6' 3" | 190 | 30 | 68 | 40 | 79 | 91 | 71 | 85 | 87 | 66 | 40 | 77 | 65 | 71 | 54 | 74 | 69 | 0 | 40 | 75 | 100.00 | 4,250,000$/2yrs | |
0 | ![]() | D | 6' 3" | 197 | 31 | 78 | 64 | 81 | 81 | 75 | 84 | 93 | 59 | 40 | 74 | 58 | 90 | 54 | 63 | 59 | 0 | 40 | 75 | 100.00 | 675,000$/1yrs | |
0 | ![]() | D | 6' 6" | 229 | 31 | 83 | 75 | 80 | 71 | 87 | 75 | 68 | 57 | 40 | 72 | 59 | 90 | 54 | 59 | 58 | 0 | 40 | 74 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 6' 0" | 190 | 25 | 68 | 65 | 75 | 75 | 75 | 81 | 86 | 61 | 40 | 76 | 58 | 87 | 54 | 62 | 58 | 0 | 40 | 74 | 100.00 | 1,100,000$/1yrs | |
0 | ![]() | D | 5' 10" | 185 | 23 | 69 | 40 | 79 | 67 | 75 | 74 | 83 | 60 | 40 | 74 | 59 | 86 | 54 | 60 | 58 | 0 | 40 | 72 | 100.00 | 1,313,333$/1yrs | |
0 | ![]() | D | 5' 10" | 184 | 29 | 66 | 66 | 81 | 68 | 75 | 74 | 83 | 58 | 40 | 72 | 59 | 84 | 54 | 68 | 59 | 0 | 40 | 71 | 100.00 | 2,325,000$/1yrs | |
0 | ![]() | D | 6' 6" | 230 | 22 | 72 | 65 | 79 | 64 | 86 | 68 | 65 | 57 | 40 | 71 | 58 | 78 | 54 | 56 | 58 | 0 | 40 | 69 | 100.00 | 902,500$/3yrs | |
0 | ![]() | D | 6' 2" | 201 | 21 | 63 | 45 | 74 | 60 | 73 | 68 | 61 | 60 | 40 | 68 | 60 | 69 | 54 | 55 | 56 | 0 | 40 | 66 | 100.00 | 1,158,333$/3yrs | |
0 | ![]() | D | 5' 8" | 176 | 27 | 56 | 58 | 63 | 63 | 56 | 68 | 66 | 62 | 40 | 62 | 56 | 60 | 54 | 64 | 58 | 0 | 40 | 62 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 6' 2" | 207 | 30 | 55 | 55 | 66 | 59 | 67 | 67 | 64 | 57 | 40 | 57 | 56 | 62 | 54 | 69 | 61 | 0 | 40 | 62 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 6' 1" | 190 | 23 | 55 | 55 | 66 | 59 | 63 | 65 | 63 | 61 | 40 | 61 | 56 | 58 | 54 | 57 | 54 | 0 | 40 | 61 | 100.00 | 825,000$/2yrs | |
0 | ![]() | D | 6' 1" | 198 | 28 | 56 | 54 | 64 | 56 | 67 | 65 | 63 | 56 | 40 | 56 | 54 | 62 | 54 | 67 | 60 | 0 | 40 | 60 | 100.00 | 850,000$/2yrs | |
0 | ![]() | D | 6' 4" | 207 | 27 | 55 | 54 | 67 | 57 | 69 | 61 | 60 | 56 | 40 | 55 | 56 | 60 | 54 | 66 | 59 | 0 | 40 | 60 | 100.00 | 725,000$/2yrs | |
0 | ![]() | D | 6' 2" | 199 | 28 | 56 | 52 | 69 | 56 | 68 | 59 | 57 | 54 | 40 | 55 | 54 | 62 | 54 | 66 | 60 | 0 | 40 | 59 | 100.00 | 700,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 4" | 216 | 30 | 88 | 99 | 99 | 77 | 93 | 77 | 77 | 64 | 0 | 40 | 87 | 100.00 | 6,166,666$/1yrs | |||||||
0 | ![]() | 5' 11" | 189 | 38 | 79 | 72 | 70 | 75 | 82 | 80 | 83 | 65 | 0 | 40 | 77 | 100.00 | 2,750,000$/1yrs | |||||||
0 | ![]() | 6' 4" | 225 | 26 | 71 | 68 | 68 | 79 | 79 | 77 | 62 | 55 | 0 | 40 | 74 | 100.00 | 913,333$/1yrs | |||||||
0 | ![]() | 6' 5" | 179 | 22 | 65 | 67 | 66 | 61 | 69 | 64 | 56 | 53 | 0 | 40 | 66 | 100.00 | 910,833$/2yrs | |||||||
0 | ![]() | 6' 3" | 207 | 31 | 62 | 67 | 67 | 61 | 67 | 62 | 73 | 63 | 0 | 40 | 65 | 100.00 | 733,333$/2yrs | |||||||
0 | ![]() | 6' 5" | 207 | 26 | 54 | 56 | 55 | 55 | 68 | 66 | 62 | 56 | 0 | 40 | 59 | 100.00 | 925,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Lindy Ruff | 79 | 78 | 81 | 86 | 93 | 86 | 52 | CAN | 63 | 2 | 5,000,000$ |
General Manager | Dominic Robert |
---|
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 |
---|
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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 91,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 53 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 | 2029-2030 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka ![]() | C | 24 | 850,000$ | 850,000$ | |||||||
Andy Andreoff ![]() | C | 32 | 750,000$ | 750,000$ | 750,000$ | ||||||
Arthur Kaliyev ![]() | RW | 21 | 1,035,833$ | 1,035,833$ | 1,035,833$ | ||||||
Boris Katchouk ![]() | LW | 24 | 894,166$ | 894,166$ | |||||||
Brady Tkachuk ![]() | LW | 23 | 3,425,000$ | 3,425,000$ | |||||||
Buddy Robinson ![]() | RW | 31 | 750,000$ | 750,000$ | 750,000$ | ||||||
Byron Froese ![]() | C | 32 | 725,000$ | 725,000$ | 725,000$ | 725,000$ | |||||
Christian Fischer ![]() | RW | 26 | 1,075,833$ | 1,075,833$ | |||||||
Connor Hellebuyck ![]() | C/RW | 30 | 6,166,666$ | 6,166,666$ | |||||||
Dakota Joshua ![]() | C | 27 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Dan Renouf ![]() | D | 28 | 850,000$ | 850,000$ | 850,000$ | ||||||
Declan Chisholm ![]() | D | 23 | 825,000$ | 825,000$ | 825,000$ | ||||||
Dylan Strome ![]() | C | 26 | 3,338,000$ | 3,338,000$ | |||||||
Eric Robinson ![]() | LW | 27 | 874,125$ | 874,125$ | |||||||
Erik Brannstrom ![]() | D | 23 | 1,313,333$ | 1,313,333$ | |||||||
Frederick Gaudreau ![]() | C | 30 | 666,666$ | 666,666$ | |||||||
Grant Hutton ![]() | D | 27 | 725,000$ | 725,000$ | 725,000$ | ||||||
Gustav Olofsson ![]() | D | 28 | 700,000$ | 700,000$ | |||||||
Isaac Ratcliffe ![]() | C/LW | 24 | 863,333$ | 863,333$ | |||||||
J.T. Compher ![]() | LW | 28 | 3,500,000$ | 3,500,000$ | |||||||
Jake Guentzel ![]() | LW | 28 | 6,000,000$ | 6,000,000$ | |||||||
Jaroslav Halak ![]() | D | 38 | 2,750,000$ | 2,750,000$ | |||||||
Jarred Tinordi ![]() | D | 31 | 700,000$ | 700,000$ | |||||||
Jesper Boqvist ![]() | C | 24 | 925,000$ | 925,000$ | |||||||
Joe Hicketts ![]() | D | 27 | 700,000$ | 700,000$ | |||||||
Joel Hofer ![]() | D | 22 | 910,833$ | 910,833$ | 910,833$ | ||||||
Joel Kiviranta ![]() | LW | 27 | 925,000$ | 925,000$ | |||||||
John Klingberg ![]() | D | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | ||||||
John Marino ![]() | D | 26 | 1,775,000$ | 1,775,000$ | |||||||
Josh Anderson ![]() | RW | 29 | 1,850,000$ | 1,850,000$ | |||||||
Justin Barron ![]() | D | 21 | 1,158,333$ | 1,158,333$ | 1,158,333$ | 1,158,333$ | |||||
Justin Holl ![]() | D | 31 | 675,000$ | 675,000$ | |||||||
Kevin Bahl ![]() | D | 22 | 902,500$ | 902,500$ | 902,500$ | 902,500$ | |||||
Kole Lind ![]() | RW | 24 | 1,125,000$ | 1,125,000$ | |||||||
Louis Domingue ![]() | LW | 31 | 750,000$ | 750,000$ | 750,000$ | ||||||
Mackenzie Blackwood ![]() | D | 26 | 913,333$ | 913,333$ | |||||||
Mason Appleton ![]() | C | 27 | 758,333$ | 758,333$ | |||||||
Mathew Barzal ![]() | C | 25 | 1,263,000$ | 1,263,000$ | |||||||
Matt Martin ![]() | LW | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Matthew Tkachuk ![]() | LW | 25 | 7,000,000$ | 7,000,000$ | |||||||
Max Domi ![]() | C | 28 | 3,150,000$ | 3,150,000$ | |||||||
Morgan Rielly ![]() | D | 29 | 7,500,000$ | 7,500,000$ | 7,500,000$ | ||||||
Nate Thompson ![]() | C | 38 | 1,000,000$ | 1,000,000$ | |||||||
Nikita Zadorov ![]() | D | 28 | 3,750,000$ | 3,750,000$ | 3,750,000$ | ||||||
Ryan Bednard ![]() | D | 26 | 925,000$ | 925,000$ | |||||||
Ryan Lindgren ![]() | D | 25 | 1,100,000$ | 1,100,000$ | |||||||
Ryan Strome ![]() | C | 29 | 3,100,000$ | 3,100,000$ | |||||||
Sebastian Aho ![]() | C | 25 | 8,454,000$ | 8,454,000$ | |||||||
Trent Frederic ![]() | C | 25 | 1,137,500$ | 1,137,500$ | |||||||
Troy Stecher ![]() | D | 29 | 2,325,000$ | 2,325,000$ | |||||||
Tyler Wotherspoon ![]() | D | 30 | 700,000$ | 700,000$ | |||||||
Tyson Jost ![]() | C | 25 | 1,673,333$ | 1,673,333$ | |||||||
Zach Aston-Reese ![]() | C | 28 | 1,000,000$ | 1,000,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Goalies | |||||||
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
101,799,120$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | United Center | |
City | Chicago | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
101,799,120$ | 100,765,786$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 10,000,000$ | 10,000,000$ |
FOWARD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
GOALIE | ||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Beckman | |||||
Aleksi Heimosalmi | |||||
Artem Grushnikov | |||||
Chase Stillman | |||||
Chaz Lucius | |||||
Cole Huckins | |||||
Hendrix Lapierre | |||||
Ilya Fedotov | |||||
Jakub Malek | |||||
Lukas Parik | |||||
Noel Hoefenmayer | |||||
Ronnie Attard | |||||
Stiven Sardarian | |||||
Trevor Janicke | |||||
Zachary Emond |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Beckman | |||||
Aleksi Heimosalmi | |||||
Artem Grushnikov | |||||
Chase Stillman | |||||
Chaz Lucius | |||||
Cole Huckins | |||||
Hendrix Lapierre | |||||
Ilya Fedotov | |||||
Jakub Malek | |||||
Lukas Parik | |||||
Noel Hoefenmayer | |||||
Ronnie Attard | |||||
Stiven Sardarian | |||||
Trevor Janicke | |||||
Zachary Emond |