![]() | Chicago Wolves 49-20-13, 111pts · 3rd in Conference 1 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Devin Shore | 0 | C/LW | 100.00 | 77 | 40 | 89 | 72 | 82 | 76 | 85 | 68 | 66 | 64 | 62 | 69 | 67 | 84 | 74 | 1 | 50 | 69 | 30 | 1,500,000$/3yrs | |||
Jakob Pelletier | 0 | C/LW | 100.00 | 67 | 40 | 81 | 76 | 68 | 76 | 69 | 68 | 46 | 66 | 63 | 65 | 69 | 57 | 50 | 1 | 50 | 65 | 24 | 1,200,000$/4yrs | |||
Zach Sanford | 0 | C/LW | 100.00 | 62 | 45 | 69 | 64 | 72 | 75 | 73 | 65 | 49 | 64 | 60 | 60 | 63 | 78 | 59 | 1 | 50 | 63 | 30 | 1,500,000$/3yrs | |||
Alex Steeves | 0 | C | 100.00 | 61 | 44 | 67 | 70 | 64 | 66 | 65 | 68 | 46 | 64 | 65 | 60 | 67 | 53 | 50 | 1 | 50 | 63 | 25 | 1,200,000$/4yrs | |||
Kyle Criscuolo | 0 | C | 100.00 | 53 | 42 | 71 | 69 | 55 | 72 | 72 | 64 | 62 | 61 | 60 | 59 | 64 | 68 | 58 | 1 | 50 | 62 | 33 | 1,000,000$/3yrs | |||
Joseph Blandisi | 0 | C | 100.00 | 58 | 54 | 57 | 68 | 61 | 72 | 70 | 64 | 62 | 63 | 60 | 62 | 64 | 63 | 56 | 1 | 50 | 62 | 30 | 1,200,000$/4yrs | |||
Filip Bystedt (R) | 0 | C/LW | 100.00 | 63 | 41 | 66 | 62 | 65 | 61 | 59 | 61 | 42 | 60 | 57 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/2yrs | |||
Spencer Smallman | 0 | RW | 100.00 | 58 | 44 | 66 | 63 | 63 | 69 | 67 | 62 | 54 | 60 | 56 | 56 | 60 | 57 | 50 | 1 | 50 | 59 | 28 | 1,000,000$/3yrs | |||
Lane Pederson | 0 | C | 100.00 | 59 | 44 | 67 | 65 | 64 | 67 | 63 | 61 | 61 | 57 | 56 | 57 | 61 | 60 | 50 | 1 | 50 | 59 | 27 | 1,500,000$/1yrs | |||
Milos Kelemen | 0 | C/LW/RW | 100.00 | 63 | 44 | 66 | 60 | 69 | 63 | 61 | 59 | 41 | 55 | 54 | 56 | 58 | 53 | 50 | 1 | 50 | 57 | 25 | 975,000$/2yrs | |||
Tyler Boucher | 0 | RW | 100.00 | 63 | 43 | 66 | 59 | 67 | 62 | 60 | 58 | 41 | 52 | 53 | 54 | 56 | 50 | 50 | 1 | 50 | 56 | 22 | 863,333$/1yrs | |||
Matthew Kessel | 0 | D | 100.00 | 63 | 42 | 79 | 72 | 82 | 81 | 69 | 68 | 40 | 64 | 60 | 69 | 67 | 59 | 50 | 1 | 50 | 67 | 25 | 1,200,000$/4yrs | |||
Nolan Allan | 0 | D | 100.00 | 68 | 41 | 77 | 71 | 75 | 76 | 67 | 66 | 40 | 63 | 60 | 70 | 66 | 52 | 50 | 1 | 50 | 66 | 22 | 975,000$/2yrs | |||
Jack Thompson | 0 | D | 100.00 | 57 | 40 | 78 | 74 | 74 | 76 | 66 | 69 | 40 | 65 | 64 | 69 | 69 | 55 | 50 | 1 | 50 | 66 | 23 | 975,000$/1yrs | |||
Robert Hägg | 0 | D | 100.00 | 60 | 44 | 66 | 66 | 67 | 73 | 70 | 64 | 40 | 60 | 57 | 67 | 62 | 78 | 55 | 1 | 50 | 64 | 30 | 1,000,000$/3yrs | |||
Ty Smith | 0 | D | 100.00 | 57 | 43 | 66 | 71 | 61 | 64 | 62 | 64 | 40 | 63 | 56 | 67 | 64 | 53 | 50 | 1 | 50 | 62 | 25 | 1,500,000$/3yrs | |||
Tyson Hinds | 0 | D | 100.00 | 59 | 44 | 67 | 65 | 63 | 65 | 63 | 62 | 40 | 58 | 55 | 60 | 60 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/2yrs | |||
Anton Johansson (R) | 0 | D | 100.00 | 62 | 41 | 66 | 62 | 63 | 58 | 56 | 56 | 40 | 54 | 53 | 62 | 57 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Robert Mastrosimone | 0 | LW | 100.00 | 55 | 42 | 68 | 65 | 56 | 64 | 63 | 60 | 42 | 53 | 55 | 54 | 60 | 52 | 50 | 1 | 50 | 57 | 24 | 975,000$/2yrs | |||
Chase Stillman | 0 | RW | 100.00 | 57 | 46 | 62 | 62 | 64 | 63 | 61 | 60 | 42 | 55 | 54 | 52 | 59 | 50 | 50 | 1 | 50 | 56 | 22 | 975,000$/2yrs | |||
Nico Myatovic | 0 | LW | 100.00 | 60 | 41 | 71 | 63 | 64 | 58 | 55 | 58 | 41 | 53 | 54 | 53 | 59 | 50 | 50 | 1 | 50 | 56 | 20 | 975,000$/2yrs | |||
Blade Jenkins | 0 | C/LW/RW | 100.00 | 62 | 41 | 71 | 62 | 65 | 63 | 61 | 57 | 41 | 53 | 52 | 56 | 57 | 52 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/1yrs | |||
Vincent Sevigny | 0 | D | 100.00 | 59 | 40 | 67 | 66 | 64 | 61 | 59 | 53 | 40 | 51 | 51 | 61 | 57 | 52 | 50 | 1 | 50 | 58 | 24 | 1,200,000$/2yrs | |||
Turner Ottenbreit | 0 | D | 100.00 | 56 | 53 | 52 | 59 | 58 | 62 | 60 | 54 | 40 | 51 | 51 | 58 | 55 | 53 | 50 | 1 | 50 | 56 | 27 | 1,200,000$/4yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Laurent Brossoit | 0 | 100.00 | 74 | 73 | 72 | 72 | 75 | 75 | 74 | 76 | 74 | 73 | 65 | 85 | 75 | 1 | 50 | 68 | 32 | 3,000,000$/2yrs |
Nico Daws | 0 | 100.00 | 74 | 68 | 71 | 73 | 72 | 71 | 73 | 70 | 72 | 73 | 60 | 60 | 51 | 1 | 50 | 65 | 24 | 2,000,000$/4yrs |
| Scratches | ||||||||||||||||||||
Waltteri Ignatjew | 0 | 100.00 | 68 | 63 | 64 | 64 | 66 | 65 | 67 | 64 | 66 | 66 | 58 | 52 | 50 | 1 | 50 | 60 | 25 | 1,000,000$/3yrs |
Keith Petruzzelli | 0 | 100.00 | 67 | 59 | 57 | 65 | 63 | 61 | 62 | 58 | 62 | 63 | 52 | 54 | 50 | 1 | 50 | 57 | 26 | 1,200,000$/4yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jack Capuano | 78 | 73 | 73 | 75 | 63 | 64 | 1 | USA | 58 | 1 | 500,000$ |
| General Manager |
|---|
| 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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Devin Shore | Wolves (CAR) | C/LW | 82 | 49 | 58 | 107 | 22 | 7 | 5 | 168 | 379 | 105 | 239 | 12.93% | 40 | 23.36 | 13 | 17 | 30 | 0 | 0 | 0 | 162 | 8 | 4 | 55.48% | 1 | 1 | 1.30 | 1 | 12 | 1.48 | |||
| 2 | Jakob Pelletier | Wolves (CAR) | C/LW | 82 | 38 | 55 | 93 | 22 | 7 | 5 | 164 | 333 | 105 | 186 | 11.41% | 31 | 21.12 | 7 | 19 | 26 | 0 | 0 | 0 | 164 | 6 | 2 | 50.80% | 1 | 0 | 1.13 | 3 | 12 | 1.28 | |||
| 3 | Alex Steeves | Wolves (CAR) | C | 82 | 24 | 37 | 61 | 18 | 47 | 15 | 184 | 221 | 96 | 147 | 10.86% | 19 | 17.81 | 4 | 5 | 9 | 0 | 0 | 0 | 15 | 7 | 3 | 47.95% | 0 | 0 | 0.74 | 2 | 4 | 0.79 | |||
| 4 | Kyle Criscuolo | Wolves (CAR) | C | 76 | 25 | 24 | 49 | 16 | 52 | 20 | 135 | 219 | 74 | 121 | 11.42% | 19 | 17.93 | 1 | 1 | 2 | 0 | 0 | 0 | 68 | 8 | 1 | 54.92% | 0 | 0 | 0.64 | 0 | 0 | 0.72 | |||
| 5 | Matthew Kessel | Wolves (CAR) | D | 82 | 10 | 38 | 48 | 26 | 14 | 0 | 122 | 170 | 74 | 47 | 5.88% | 89 | 26.24 | 6 | 5 | 11 | 0 | 0 | 0 | 162 | 0 | 0 | 0.00% | 0 | 0 | 0.59 | 0 | 0 | 0.72 | |||
| 6 | Nolan Allan | Wolves (CAR) | D | 82 | 4 | 35 | 39 | 26 | 44 | 20 | 123 | 143 | 49 | 71 | 2.80% | 107 | 26.57 | 3 | 5 | 8 | 0 | 0 | 0 | 157 | 0 | 0 | 0.00% | 0 | 0 | 0.48 | 0 | 0 | 0.56 | |||
| 7 | Spencer Smallman | Wolves (CAR) | RW | 76 | 17 | 22 | 39 | 19 | 52 | 10 | 155 | 111 | 30 | 51 | 15.32% | 15 | 18.64 | 6 | 6 | 12 | 0 | 0 | 0 | 0 | 1 | 1 | 48.39% | 0 | 0 | 0.51 | 0 | 0 | 0.49 | |||
| 8 | Lane Pederson | Wolves (CAR) | C | 82 | 17 | 20 | 37 | 16 | 21 | 5 | 91 | 140 | 41 | 87 | 12.14% | 6 | 11.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 54.69% | 0 | 0 | 0.45 | 0 | 0 | 0.52 | |||
| 9 | Joseph Blandisi | Wolves (CAR) | C | 82 | 19 | 16 | 35 | 20 | 34 | 0 | 122 | 134 | 43 | 91 | 14.18% | 10 | 12.72 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | 0 | 56.19% | 0 | 0 | 0.43 | 0 | 0 | 0.50 | |||
| 10 | Filip Bystedt | Wolves (CAR) | C/LW | 82 | 15 | 17 | 32 | 8 | 19 | 5 | 106 | 133 | 49 | 86 | 11.28% | 9 | 12.20 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 1 | 0 | 47.22% | 0 | 1 | 0.39 | 0 | 0 | 0.45 | |||
| 11 | Zach Sanford | Wolves (CAR) | C/LW | 82 | 13 | 11 | 24 | 20 | 10 | 0 | 83 | 132 | 43 | 85 | 9.85% | 17 | 12.53 | 0 | 0 | 0 | 0 | 0 | 0 | 91 | 1 | 3 | 53.57% | 0 | 0 | 0.29 | 2 | 9 | 0.45 | |||
| 12 | Jack Thompson | Wolves (CAR) | D | 82 | 1 | 21 | 22 | 23 | 15 | 15 | 50 | 122 | 37 | 51 | 0.82% | 45 | 19.94 | 0 | 1 | 1 | 0 | 0 | 0 | 109 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.39 | |||
| 13 | Milos Kelemen | Wolves (CAR) | C/LW/RW | 82 | 7 | 12 | 19 | 12 | 79 | 25 | 138 | 80 | 27 | 54 | 8.75% | 19 | 16.52 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 1 | 1 | 40.00% | 0 | 0 | 0.23 | 0 | 0 | 0.17 | |||
| 14 | Robert Hägg | Wolves (CAR) | D | 76 | 2 | 14 | 16 | 23 | 34 | 10 | 114 | 63 | 25 | 27 | 3.17% | 52 | 20.13 | 0 | 2 | 2 | 0 | 0 | 0 | 105 | 1 | 1 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.28 | |||
| 15 | Tyler Boucher | Wolves (CAR) | RW | 58 | 2 | 8 | 10 | 15 | 16 | 0 | 82 | 36 | 17 | 29 | 5.56% | 4 | 11.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 0 | 0 | 0.17 | 0 | 0 | 0.25 | |||
| 16 | Tyson Hinds | Wolves (CAR) | D | 82 | 1 | 6 | 7 | 17 | 10 | 0 | 49 | 47 | 17 | 16 | 2.13% | 28 | 14.07 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | 0.18 | |||
| 17 | Ty Smith | Wolves (CAR) | D | 82 | 0 | 7 | 7 | 18 | 18 | 0 | 43 | 42 | 19 | 21 | 0.00% | 39 | 14.34 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | 0.16 | |||
| 18 | Chase Stillman | Wolves (CAR) | RW | 18 | 2 | 1 | 3 | 4 | 4 | 0 | 16 | 18 | 2 | 8 | 11.11% | 3 | 10.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 28.57% | 0 | 0 | 0.17 | 0 | 0 | 0.26 | |||
| 19 | Blade Jenkins | Wolves (CAR) | C/LW/RW | 31 | 2 | 1 | 3 | 10 | 6 | 0 | 31 | 19 | 12 | 16 | 10.53% | 7 | 14.15 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 0 | 0 | 0.10 | 0 | 0 | 0.23 | |||
| 20 | Robert Mastrosimone | Wolves (CAR) | LW | 6 | 0 | 1 | 1 | -2 | 2 | 0 | 7 | 10 | 1 | 4 | 0.00% | 0 | 9.81 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 100.00% | 0 | 0 | 0.17 | 0 | 0 | 0.09 | |||
| 21 | Turner Ottenbreit | Wolves (CAR) | D | 6 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 2 | 0 | 0 | 0.00% | 6 | 12.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.10 | |||
| 22 | Anton Johansson | Wolves (CAR) | D | 63 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
| Team Total or Average | 1476 | 248 | 405 | 653 | 332 | 493 | 135 | 1985 | 2555 | 866 | 1437 | 9.71% | 565 | 16.62 | 40 | 62 | 102 | 1745 | 0 | 0 | 0 | 1131 | 44 | 17 | 52.00% | 4110 | 595 | 436 | 2 | 2 | 0.53 | 8 | 37 |
| 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 | Laurent Brossoit | Wolves (CAR) | 76 | 46 | 16 | 13 | 0.904 | 2.10 | 4401 | 4 | 6 | 154 | 1598 | 819 | 9 | 1 | 0.688 | 32 | 76 | 0 | 2 | 3 | 4 |
| 2 | Nico Daws | Wolves (CAR) | 13 | 3 | 4 | 0 | 0.914 | 2.59 | 556 | 0 | 1 | 24 | 280 | 148 | 1 | 0 | 0.857 | 7 | 6 | 76 | 1 | 0 | 0 |
| 3 | Waltteri Ignatjew | Wolves (CAR) | 1 | 0 | 0 | 0 | 0.905 | 4.00 | 30 | 0 | 0 | 2 | 21 | 12 | 0 | 0 | 0.000 | 0 | 0 | 3 | 0 | 0 | 0 |
| Team Total or Average | 90 | 49 | 20 | 13 | 0.905 | 2.17 | 4987 | 4 | 7 | 180 | 1899 | 979 | 10 | 1 | 0.718 | 39 | 82 | 79 | 3 | 3 | 4 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Steeves | C | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
| Anton Johansson | D | 21 | 975,000$ | 975,000$ | RFA | ||||||
| Blade Jenkins | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | |||||||
| Chase Stillman | RW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Devin Shore | C/LW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Filip Bystedt | C/LW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jack Thompson | D | 23 | 975,000$ | 975,000$ | |||||||
| Jakob Pelletier | C/LW | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
| Joseph Blandisi | C | 30 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
| Keith Petruzzelli | G | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
| Kyle Criscuolo | C | 33 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Lane Pederson | C | 27 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Laurent Brossoit | G | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
| Matthew Kessel | D | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
| Milos Kelemen | C/LW/RW | 25 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Nico Daws | G | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Nico Myatovic | LW | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Nolan Allan | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Robert Hägg | D | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Robert Mastrosimone | LW | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Spencer Smallman | RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Turner Ottenbreit | D | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
| Ty Smith | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Tyler Boucher | RW | 22 | 863,333$ | 975,000$ | RFA | ||||||
| Tyson Hinds | D | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Vincent Sevigny | D | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
| Waltteri Ignatjew | G | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Zach Sanford | C/LW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Gulls | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 4 | 2 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 50 | 100 | 93 | 13 | 57 | 739 | 954 | 833 | 66 | 20 | 9 | 9 | 53 | 1 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 75.0% | 10.5% | 80.0% | 90.5 | FUN |
| 2 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 3 | 10 | 4 | 1.000 | 13 | 20 | 33 | 0 | 0 | 50 | 100 | 93 | 13 | 74 | 739 | 954 | 833 | 66 | 43 | 11 | 14 | 60 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 80.0% | 17.6% | 93.0% | 110.6 | LUCKY |
| 3 | Bruins | 4 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 9 | 14 | -5 | 3 | 0.375 | 9 | 16 | 25 | 0 | 0 | 50 | 100 | 93 | 13 | 119 | 739 | 954 | 833 | 66 | 162 | 40 | 48 | 77 | 9 | 1 | 11.11% | 14 | 4 | 71.43% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 44.4% | 7.6% | 91.4% | 98.9 | DULL |
| 4 | Americans | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 50 | 100 | 93 | 13 | 55 | 739 | 954 | 833 | 66 | 38 | 8 | 2 | 60 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 50.0% | 7.3% | 89.5% | 96.7 | Unlucky |
| 5 | Heat | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 50 | 100 | 93 | 13 | 62 | 739 | 954 | 833 | 66 | 28 | 5 | 15 | 58 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 80.0% | 14.5% | 92.9% | 107.4 | LUCKY |
| 6 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 50 | 100 | 93 | 13 | 47 | 739 | 954 | 833 | 66 | 69 | 26 | 20 | 40 | 9 | 2 | 22.22% | 5 | 1 | 80.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 40.0% | 12.8% | 89.9% | 102.6 | FUN |
| 7 | Eagles | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 50 | 100 | 93 | 13 | 58 | 739 | 954 | 833 | 66 | 38 | 14 | 11 | 52 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 75.0% | 12.1% | 92.1% | 104.2 | LUCKY |
| 8 | Monsters | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 5 | 4 | 5 | 0.833 | 9 | 14 | 23 | 0 | 0 | 50 | 100 | 93 | 13 | 99 | 739 | 954 | 833 | 66 | 66 | 25 | 12 | 76 | 12 | 4 | 33.33% | 6 | 0 | 100.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 50.0% | 9.1% | 92.4% | 101.5 | LUCKY |
| 9 | Stars | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 2 | 9 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 50 | 100 | 93 | 13 | 75 | 739 | 954 | 833 | 66 | 30 | 8 | 26 | 40 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 100.0% | 14.7% | 93.3% | 108.0 | LUCKY |
| 10 | Griffins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 14 | -7 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 50 | 100 | 93 | 13 | 112 | 739 | 954 | 833 | 66 | 119 | 42 | 16 | 64 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 35.0% | 6.3% | 88.2% | 94.5 | Unlucky |
| 11 | Condors | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 50 | 100 | 93 | 13 | 57 | 739 | 954 | 833 | 66 | 61 | 17 | 13 | 44 | 8 | 3 | 37.50% | 4 | 1 | 75.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 50.0% | 12.3% | 91.8% | 104.1 | LUCKY |
| 12 | Checkers 1 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 8 | 3 | 6 | 0.750 | 11 | 15 | 26 | 0 | 0 | 50 | 100 | 93 | 13 | 119 | 739 | 954 | 833 | 66 | 92 | 31 | 14 | 96 | 17 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 61.1% | 9.2% | 91.3% | 100.5 | LUCKY |
| 13 | Reign | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 50 | 100 | 93 | 13 | 60 | 739 | 954 | 833 | 66 | 58 | 15 | 16 | 35 | 7 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 50.0% | 10.0% | 86.2% | 96.2 | FUN |
| 14 | Wild | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 50 | 100 | 93 | 13 | 53 | 739 | 954 | 833 | 66 | 30 | 4 | 14 | 62 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 100.0% | 11.3% | 93.3% | 104.7 | LUCKY |
| 15 | Rocket | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 50 | 100 | 93 | 13 | 48 | 739 | 954 | 833 | 66 | 25 | 10 | 15 | 45 | 8 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 80.0% | 8.3% | 92.0% | 100.3 | DULL |
| 16 | Admirals | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 50 | 100 | 93 | 13 | 50 | 739 | 954 | 833 | 66 | 30 | 6 | 18 | 45 | 6 | 1 | 16.67% | 9 | 3 | 66.67% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 40.0% | 6.0% | 80.0% | 86.0 | Unlucky |
| 17 | Comets | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 11 | 6 | 1.000 | 11 | 20 | 31 | 0 | 3 | 50 | 100 | 93 | 13 | 108 | 739 | 954 | 833 | 66 | 30 | 8 | 2 | 82 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 100.0% | 10.2% | 100.0% | 110.2 | LUCKY |
| 18 | Islanders | 6 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 25 | 9 | 16 | 10 | 0.833 | 25 | 40 | 65 | 0 | 1 | 50 | 100 | 93 | 13 | 223 | 739 | 954 | 833 | 66 | 105 | 24 | 23 | 170 | 13 | 5 | 38.46% | 9 | 1 | 88.89% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 71.4% | 11.2% | 91.4% | 102.6 | LUCKY |
| 19 | Wolf Pack | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 9 | 19 | -10 | 3 | 0.300 | 9 | 13 | 22 | 0 | 0 | 50 | 100 | 93 | 13 | 154 | 739 | 954 | 833 | 66 | 159 | 51 | 26 | 79 | 15 | 2 | 13.33% | 13 | 4 | 69.23% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 31.8% | 5.8% | 88.1% | 93.9 | Unlucky |
| 20 | Belleville Senators | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 6 | 12 | 0 | 0 | 50 | 100 | 93 | 13 | 62 | 739 | 954 | 833 | 66 | 51 | 14 | 7 | 36 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 45.5% | 9.7% | 88.2% | 97.9 | FUN |
| 21 | Phantoms | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 7 | 4 | 5 | 0.625 | 11 | 18 | 29 | 0 | 1 | 50 | 100 | 93 | 13 | 141 | 739 | 954 | 833 | 66 | 70 | 16 | 14 | 116 | 11 | 1 | 9.09% | 7 | 2 | 71.43% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 66.7% | 7.8% | 90.0% | 97.8 | Unlucky |
| 22 | Roadrunners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 50 | 100 | 93 | 13 | 75 | 739 | 954 | 833 | 66 | 35 | 11 | 16 | 63 | 3 | 1 | 33.33% | 8 | 1 | 87.50% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 55.6% | 8.0% | 85.7% | 93.7 | Unlucky |
| 23 | Penguins | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 9 | 12 | 8 | 1.000 | 21 | 30 | 51 | 0 | 0 | 50 | 100 | 93 | 13 | 137 | 739 | 954 | 833 | 66 | 109 | 39 | 39 | 82 | 14 | 4 | 28.57% | 7 | 2 | 71.43% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 70.8% | 15.3% | 91.7% | 107.1 | LUCKY |
| 24 | Barracuda | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 4 | 7 | 0 | 0 | 50 | 100 | 93 | 13 | 51 | 739 | 954 | 833 | 66 | 25 | 7 | 10 | 41 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 60.0% | 5.9% | 88.0% | 93.9 | Unlucky |
| 25 | Thunderbirds | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 50 | 100 | 93 | 13 | 54 | 739 | 954 | 833 | 66 | 65 | 21 | 12 | 55 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 55.6% | 9.3% | 92.3% | 101.6 | LUCKY |
| 26 | Crunch | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 50 | 100 | 93 | 13 | 54 | 739 | 954 | 833 | 66 | 35 | 14 | 6 | 55 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 11.1% | 5.6% | 77.1% | 82.7 | Unlucky |
| 27 | Marlies | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 8 | 14 | 0 | 0 | 50 | 100 | 93 | 13 | 49 | 739 | 954 | 833 | 66 | 74 | 28 | 18 | 46 | 6 | 3 | 50.00% | 4 | 1 | 75.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 37.5% | 12.2% | 91.9% | 104.1 | LUCKY |
| 28 | Canucks | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 50 | 100 | 93 | 13 | 61 | 739 | 954 | 833 | 66 | 56 | 16 | 10 | 42 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 83.3% | 11.5% | 96.4% | 107.9 | LUCKY |
| 29 | Hershey Bears | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 12 | 5 | 7 | 7 | 0.875 | 12 | 20 | 32 | 0 | 1 | 50 | 100 | 93 | 13 | 128 | 739 | 954 | 833 | 66 | 82 | 18 | 14 | 103 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 71.4% | 9.4% | 93.9% | 103.3 | LUCKY |
| 30 | Silver Knights | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 50 | 100 | 93 | 13 | 52 | 739 | 954 | 833 | 66 | 31 | 11 | 10 | 65 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 37.5% | 5.8% | 83.9% | 89.6 | Unlucky |
| 31 | Checkers 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 50 | 100 | 93 | 13 | 61 | 739 | 954 | 833 | 66 | 64 | 16 | 27 | 43 | 4 | 2 | 50.00% | 6 | 3 | 50.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 41.7% | 11.5% | 84.4% | 95.9 | FUN |
| _Vs Division | 21 | 16 | 8 | 0 | 2 | 2 | 1 | 2 | 50 | 62 | -12 | 42 | 1.000 | 50 | 77 | 127 | 1 | 1 | 50 | 100 | 93 | 13 | 618 | 739 | 954 | 833 | 66 | 596 | 187 | 126 | 479 | 58 | 7 | 12.07% | 38 | 8 | 78.95% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 44.3% | 8.1% | 89.6% | 97.7 | Unlucky | |
| _Vs Conference | 49 | 24 | 11 | 0 | 4 | 2 | 3 | 5 | 148 | 104 | 44 | 69 | 0.704 | 148 | 229 | 377 | 1 | 7 | 50 | 100 | 93 | 13 | 1557 | 739 | 954 | 833 | 66 | 1154 | 342 | 250 | 1165 | 137 | 27 | 19.71% | 90 | 18 | 80.00% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 58.5% | 9.5% | 91.0% | 100.5 | FUN | |
| _Since Last GM Reset | 82 | 39 | 20 | 0 | 5 | 6 | 5 | 7 | 253 | 188 | 65 | 111 | 0.677 | 253 | 405 | 658 | 1 | 7 | 50 | 100 | 93 | 13 | 2555 | 739 | 954 | 833 | 66 | 1900 | 565 | 497 | 1985 | 213 | 40 | 18.78% | 176 | 39 | 77.84% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 58.8% | 9.9% | 90.1% | 100.0 | FUN | |
| Total | 82 | 39 | 20 | 0 | 5 | 6 | 5 | 7 | 253 | 188 | 65 | 111 | 0.677 | 253 | 405 | 658 | 1 | 7 | 50 | 100 | 93 | 13 | 2555 | 739 | 954 | 833 | 66 | 1900 | 565 | 497 | 1985 | 213 | 40 | 18.78% | 176 | 39 | 77.84% | 0 | 893 | 1676 | 53.28% | 716 | 1366 | 52.42% | 528 | 1009 | 52.33% | 1744 | 912 | 1512 | 836 | 1737 | 844 | 58.8% | 9.9% | 90.1% | 100.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 21 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1676 |
| Neutral Zone Start | 1009 |
| Defensive Zone Start | 1366 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2137 |
| Faceoffs Lost | 1914 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.0 | 9.57 |
| 2nd Period | 20.6 | 20.31 |
| 3rd Period | 30.8 | 30.68 |
| Overtime | 31.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 3.0 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 212 |
|---|---|
| PP Goal | 40 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 24 | 25 |
| Lost | 8 | 12 |
| Overtime Lost | 9 | 4 |
| PP Attempt | 213 |
|---|---|
| PP Goal | 40 |
| PK Attempt | 176 |
| PK Goal Against | 39 |
| Home | |
|---|---|
| Shots For | 31.2 |
| Shots Against | 23.2 |
| Goals For | 3.1 |
| Goals Against | 2.3 |
| Hits | 24.2 |
| Shots Blocked | 6.9 |
| Pim | 6.1 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,415,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Chicago | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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![]() |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 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 |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,415,000$ | 3,415,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,881,917$ | 0$ | 3,381,847$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 23,166$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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