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Full Scoreboard »» |
![]() | Chicago Wolves 17-8-6, 40pts · 4th 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$/1yrs | |||
Robert Mastrosimone | 0 | LW | 100.00 | 55 | 42 | 68 | 65 | 56 | 64 | 63 | 60 | 42 | 53 | 55 | 54 | 60 | 52 | 50 | 1 | 50 | 57 | 24 | 975,000$/2yrs | |||
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$/2yrs | |||
Chase Stillman | 0 | RW | 100.00 | 57 | 46 | 62 | 62 | 64 | 63 | 61 | 60 | 42 | 55 | 54 | 52 | 59 | 50 | 50 | 1 | 50 | 56 | 22 | 975,000$/2yrs | |||
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$/1yrs | |||
Matthew Kessel | 0 | D | 100.00 | 63 | 42 | 79 | 72 | 82 | 81 | 69 | 68 | 40 | 64 | 60 | 69 | 67 | 59 | 50 | 1 | 50 | 67 | 25 | 1,200,000$/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$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Nico Myatovic | 0 | LW | 100.00 | 60 | 41 | 71 | 63 | 64 | 58 | 55 | 58 | 41 | 53 | 54 | 53 | 59 | 50 | 50 | 1 | 50 | 56 | 20 | 975,000$/2yrs | |||
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$/1yrs | |||
Anton Johansson (R) | 0 | D | 100.00 | 62 | 41 | 66 | 62 | 63 | 58 | 56 | 56 | 40 | 54 | 53 | 62 | 57 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/1yrs | |||
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 | 31 | 25 | 21 | 46 | 15 | 2 | 0 | 69 | 170 | 43 | 91 | 14.71% | 16 | 22.39 | 4 | 4 | 8 | 0 | 0 | 0 | 60 | 3 | 3 | 50.85% | 1 | 1 | 1.48 | 0 | 7 | 1.78 | |||
| 2 | Jakob Pelletier | Wolves (CAR) | C/LW | 31 | 14 | 21 | 35 | 19 | 0 | 0 | 69 | 133 | 33 | 82 | 10.53% | 14 | 21.35 | 1 | 4 | 5 | 0 | 0 | 0 | 63 | 3 | 0 | 46.31% | 0 | 0 | 1.13 | 1 | 7 | 1.44 | |||
| 3 | Kyle Criscuolo | Wolves (CAR) | C | 25 | 7 | 13 | 20 | 6 | 16 | 0 | 46 | 71 | 24 | 45 | 9.86% | 11 | 18.62 | 0 | 1 | 1 | 0 | 0 | 0 | 22 | 3 | 1 | 57.04% | 0 | 0 | 0.80 | 0 | 0 | 0.86 | |||
| 4 | Alex Steeves | Wolves (CAR) | C | 31 | 9 | 11 | 20 | 12 | 22 | 10 | 54 | 81 | 32 | 65 | 11.11% | 7 | 17.37 | 2 | 0 | 2 | 0 | 0 | 0 | 6 | 2 | 0 | 47.93% | 0 | 0 | 0.65 | 1 | 3 | 0.75 | |||
| 5 | Nolan Allan | Wolves (CAR) | D | 31 | 0 | 18 | 18 | 17 | 8 | 0 | 42 | 58 | 27 | 29 | 0.00% | 35 | 27.12 | 0 | 2 | 2 | 0 | 0 | 0 | 64 | 0 | 0 | 0.00% | 0 | 0 | 0.58 | 0 | 0 | 0.76 | |||
| 6 | Joseph Blandisi | Wolves (CAR) | C | 31 | 10 | 8 | 18 | 9 | 20 | 0 | 41 | 70 | 22 | 50 | 14.29% | 5 | 14.78 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 61.30% | 0 | 0 | 0.58 | 0 | 0 | 0.65 | |||
| 7 | Matthew Kessel | Wolves (CAR) | D | 31 | 1 | 15 | 16 | 16 | 6 | 0 | 45 | 66 | 28 | 17 | 1.52% | 32 | 26.47 | 0 | 1 | 1 | 0 | 0 | 0 | 63 | 0 | 0 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.73 | |||
| 8 | Zach Sanford | Wolves (CAR) | C/LW | 31 | 10 | 4 | 14 | 12 | 6 | 0 | 25 | 70 | 18 | 53 | 14.29% | 8 | 14.40 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | 2 | 58.33% | 0 | 0 | 0.45 | 1 | 6 | 0.66 | |||
| 9 | Spencer Smallman | Wolves (CAR) | RW | 25 | 6 | 6 | 12 | 16 | 12 | 0 | 47 | 39 | 13 | 21 | 15.38% | 1 | 18.32 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 28.57% | 0 | 0 | 0.48 | 0 | 0 | 0.64 | |||
| 10 | Lane Pederson | Wolves (CAR) | C | 31 | 4 | 8 | 12 | 4 | 6 | 0 | 33 | 34 | 12 | 29 | 11.76% | 3 | 9.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.24% | 0 | 0 | 0.39 | 0 | 0 | 0.40 | |||
| 11 | Milos Kelemen | Wolves (CAR) | C/LW/RW | 31 | 5 | 6 | 11 | 6 | 8 | 0 | 54 | 33 | 8 | 21 | 15.15% | 9 | 17.16 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 33.33% | 0 | 0 | 0.35 | 0 | 0 | 0.40 | |||
| 12 | Filip Bystedt | Wolves (CAR) | C/LW | 31 | 4 | 4 | 8 | -2 | 6 | 0 | 35 | 33 | 15 | 20 | 12.12% | 0 | 10.71 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 41.38% | 0 | 0 | 0.26 | 0 | 0 | 0.24 | |||
| 13 | Jack Thompson | Wolves (CAR) | D | 31 | 1 | 7 | 8 | 4 | 10 | 10 | 22 | 58 | 13 | 20 | 1.72% | 16 | 19.95 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.35 | |||
| 14 | Robert Hägg | Wolves (CAR) | D | 25 | 1 | 5 | 6 | 5 | 24 | 10 | 38 | 16 | 10 | 9 | 6.25% | 18 | 19.98 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 1 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.16 | |||
| 15 | Tyson Hinds | Wolves (CAR) | D | 31 | 0 | 4 | 4 | 15 | 4 | 0 | 17 | 15 | 11 | 6 | 0.00% | 10 | 14.00 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.30 | |||
| 16 | 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 | |||
| 17 | Ty Smith | Wolves (CAR) | D | 31 | 0 | 3 | 3 | 13 | 6 | 0 | 11 | 16 | 9 | 10 | 0.00% | 17 | 15.10 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | 0.25 | |||
| 18 | Blade Jenkins | Wolves (CAR) | C/LW/RW | 23 | 1 | 1 | 2 | 9 | 6 | 0 | 25 | 14 | 11 | 15 | 7.14% | 6 | 14.18 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 40.00% | 0 | 0 | 0.09 | 0 | 0 | 0.24 | |||
| 19 | 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 | |||
| 20 | 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 | |||
| 21 | Tyler Boucher | Wolves (CAR) | RW | 14 | 0 | 0 | 0 | -2 | 2 | 0 | 14 | 1 | 2 | 4 | 0.00% | 1 | 6.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
| 22 | Anton Johansson | Wolves (CAR) | D | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| Team Total or Average | 558 | 100 | 158 | 258 | 176 | 172 | 30 | 711 | 1009 | 334 | 599 | 9.91% | 218 | 16.69 | 9 | 13 | 22 | 664 | 0 | 0 | 0 | 437 | 15 | 9 | 51.51% | 1625 | 229 | 176 | 1 | 1 | 0.55 | 3 | 23 |
| 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) | 25 | 14 | 4 | 6 | 0.904 | 2.17 | 1491 | 0 | 2 | 54 | 565 | 281 | 4 | 0 | 0.625 | 16 | 25 | 0 | 1 | 1 | 0 |
| 2 | Nico Daws | Wolves (CAR) | 7 | 3 | 4 | 0 | 0.909 | 2.74 | 373 | 0 | 1 | 17 | 187 | 93 | 0 | 0 | 0.857 | 7 | 6 | 25 | 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 | 33 | 17 | 8 | 6 | 0.906 | 2.31 | 1895 | 0 | 3 | 73 | 773 | 386 | 4 | 0 | 0.696 | 23 | 31 | 28 | 2 | 1 | 0 |
| 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$ | RFA | ||||||
| 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$ | RFA | |||||
| 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 15 | 40 | 42 | 6 | 27 | 286 | 378 | 332 | 36 | 11 | 1 | 0 | 22 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 33.3% | 3.7% | 81.8% | 85.5 | Unlucky |
| 2 | Bruins | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 8 | 9 | -1 | 3 | 0.500 | 8 | 14 | 22 | 0 | 0 | 15 | 40 | 42 | 6 | 96 | 286 | 378 | 332 | 36 | 120 | 27 | 18 | 56 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 50.0% | 8.3% | 92.5% | 100.8 | DULL |
| 3 | Heat | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 15 | 40 | 42 | 6 | 23 | 286 | 378 | 332 | 36 | 10 | 3 | 13 | 28 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 85.7% | 26.1% | 90.0% | 116.1 | FUN |
| 4 | Monsters | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 15 | 40 | 42 | 6 | 42 | 286 | 378 | 332 | 36 | 31 | 12 | 4 | 22 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 40.0% | 4.8% | 90.3% | 95.1 | Unlucky |
| 5 | Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 15 | 40 | 42 | 6 | 46 | 286 | 378 | 332 | 36 | 37 | 11 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 66.7% | 8.7% | 94.6% | 103.3 | DULL |
| 6 | Checkers 1 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 15 | 40 | 42 | 6 | 66 | 286 | 378 | 332 | 36 | 49 | 19 | 12 | 42 | 10 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 55.6% | 7.6% | 89.8% | 97.4 | Unlucky |
| 7 | Reign | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 15 | 40 | 42 | 6 | 32 | 286 | 378 | 332 | 36 | 29 | 11 | 6 | 14 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 50.0% | 15.6% | 79.3% | 94.9 | FUN |
| 8 | Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 15 | 40 | 42 | 6 | 31 | 286 | 378 | 332 | 36 | 16 | 2 | 8 | 34 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 100.0% | 12.9% | 93.8% | 106.7 | LUCKY |
| 9 | Admirals | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 2 | 4 | 0 | 0 | 15 | 40 | 42 | 6 | 25 | 286 | 378 | 332 | 36 | 14 | 3 | 6 | 24 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 33.3% | 8.0% | 78.6% | 86.6 | Unlucky |
| 10 | Comets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 6 | 4 | 1.000 | 6 | 11 | 17 | 0 | 2 | 15 | 40 | 42 | 6 | 71 | 286 | 378 | 332 | 36 | 15 | 3 | 2 | 56 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 100.0% | 8.5% | 100.0% | 108.5 | DULL |
| 11 | Islanders | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 21 | 9 | 12 | 8 | 0.800 | 21 | 32 | 53 | 0 | 0 | 15 | 40 | 42 | 6 | 186 | 286 | 378 | 332 | 36 | 94 | 22 | 17 | 144 | 11 | 4 | 36.36% | 6 | 1 | 83.33% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 68.0% | 11.3% | 90.4% | 101.7 | FUN |
| 12 | Wolf Pack | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 7 | 18 | -11 | 1 | 0.125 | 7 | 10 | 17 | 0 | 0 | 15 | 40 | 42 | 6 | 115 | 286 | 378 | 332 | 36 | 134 | 40 | 24 | 55 | 11 | 1 | 9.09% | 12 | 4 | 66.67% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 30.0% | 6.1% | 86.6% | 92.7 | Unlucky |
| 13 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 15 | 40 | 42 | 6 | 66 | 286 | 378 | 332 | 36 | 31 | 7 | 10 | 59 | 8 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 71.4% | 7.6% | 87.1% | 94.7 | Unlucky |
| 14 | Penguins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 7 | 8 | 4 | 1.000 | 15 | 21 | 36 | 0 | 0 | 15 | 40 | 42 | 6 | 77 | 286 | 378 | 332 | 36 | 66 | 21 | 30 | 43 | 5 | 1 | 20.00% | 5 | 2 | 60.00% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 73.7% | 19.5% | 89.4% | 108.9 | FUN |
| 15 | Barracuda | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 15 | 40 | 42 | 6 | 19 | 286 | 378 | 332 | 36 | 5 | 0 | 6 | 21 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 100.0% | 10.5% | 80.0% | 90.5 | FUN |
| 16 | Thunderbirds | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 15 | 40 | 42 | 6 | 28 | 286 | 378 | 332 | 36 | 36 | 12 | 6 | 23 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 66.7% | 14.3% | 91.7% | 106.0 | LUCKY |
| 17 | Marlies | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 15 | 40 | 42 | 6 | 26 | 286 | 378 | 332 | 36 | 45 | 17 | 6 | 18 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 40.0% | 11.5% | 91.1% | 102.6 | Unlucky |
| 18 | Hershey Bears | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 15 | 40 | 42 | 6 | 33 | 286 | 378 | 332 | 36 | 30 | 7 | 4 | 31 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 100.0% | 6.1% | 100.0% | 106.1 | DULL |
| _Vs Division | 7 | 7 | 7 | 0 | 2 | 0 | 1 | 2 | 20 | 20 | 0 | 22 | 1.571 | 20 | 33 | 53 | 0 | 0 | 15 | 40 | 42 | 6 | 234 | 286 | 378 | 332 | 36 | 251 | 74 | 36 | 135 | 18 | 2 | 11.11% | 18 | 4 | 77.78% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 52.9% | 8.5% | 92.0% | 100.6 | DULL | |
| _Vs Conference | 23 | 9 | 7 | 0 | 2 | 0 | 1 | 4 | 74 | 59 | 15 | 28 | 0.609 | 74 | 112 | 186 | 0 | 3 | 15 | 40 | 42 | 6 | 778 | 286 | 378 | 332 | 36 | 615 | 175 | 127 | 526 | 60 | 8 | 13.33% | 51 | 13 | 74.51% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 58.9% | 9.5% | 90.4% | 99.9 | FUN | |
| _Since Last GM Reset | 31 | 12 | 8 | 0 | 3 | 1 | 2 | 5 | 102 | 78 | 24 | 40 | 0.645 | 102 | 158 | 260 | 0 | 3 | 15 | 40 | 42 | 6 | 1009 | 286 | 378 | 332 | 36 | 773 | 218 | 172 | 711 | 77 | 9 | 11.69% | 71 | 18 | 74.65% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 60.8% | 10.1% | 89.9% | 100.0 | FUN | |
| Total | 31 | 12 | 8 | 0 | 3 | 1 | 2 | 5 | 102 | 78 | 24 | 40 | 0.645 | 102 | 158 | 260 | 0 | 3 | 15 | 40 | 42 | 6 | 1009 | 286 | 378 | 332 | 36 | 773 | 218 | 172 | 711 | 77 | 9 | 11.69% | 71 | 18 | 74.65% | 0 | 350 | 668 | 52.40% | 291 | 545 | 53.39% | 196 | 383 | 51.17% | 664 | 352 | 586 | 313 | 650 | 317 | 60.8% | 10.1% | 89.9% | 100.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 20 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 668 |
| Neutral Zone Start | 383 |
| Defensive Zone Start | 545 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 837 |
| Faceoffs Lost | 759 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.2 | 9.57 |
| 2nd Period | 21.4 | 20.31 |
| 3rd Period | 32.1 | 30.68 |
| Overtime | 33.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.3 | 2.83 |
| Even Strenght Goal | 93 |
|---|---|
| PP Goal | 9 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 9 | 8 |
| Lost | 2 | 6 |
| Overtime Lost | 4 | 2 |
| PP Attempt | 77 |
|---|---|
| PP Goal | 9 |
| PK Attempt | 71 |
| PK Goal Against | 18 |
| Home | |
|---|---|
| Shots For | 32.5 |
| Shots Against | 24.9 |
| Goals For | 3.3 |
| Goals Against | 2.5 |
| Hits | 22.9 |
| Shots Blocked | 7.0 |
| Pim | 5.5 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | CAR | @ | NYR | CAR3,NYR5 | RECAP | |||||||||
| Fri, Oct 10 | BOS | @ | CAR | BOS5,CAR4 (SO) | RECAP | |||||||||
| Sun, Oct 12 | NYI | @ | CAR | NYI1,CAR6 | RECAP | |||||||||
| Tue, Oct 14 | CAR | @ | NYI | CAR1,NYI2 | RECAP | |||||||||
| Thu, Oct 16 | DET | @ | CAR | DET2,CAR4 | RECAP | |||||||||
| Sat, Oct 18 | CAR | @ | PHI | CAR2,PHI3 | RECAP | |||||||||
| Tue, Oct 21 | CAR | @ | WAS | CAR2,WAS0 | RECAP | |||||||||
| Thu, Oct 23 | CAR | @ | BOS | CAR4,BOS3 (SO) | RECAP | |||||||||
| Fri, Oct 24 | CAR | @ | NYR | CAR1,NYR2 (SO) | RECAP | |||||||||
| Sat, Oct 25 | CLB | @ | CAR | CLB3,CAR2 (SO) | RECAP | |||||||||
| Mon, Oct 27 | PHI | @ | CAR | PHI1,CAR3 | RECAP | |||||||||
| Wed, Oct 29 | CAR | @ | NYI | CAR4,NYI2 | RECAP | |||||||||
| Sat, Nov 1 | NYI | @ | CAR | NYI3,CAR4 (OT) | RECAP | |||||||||
| Sun, Nov 2 | CAR | @ | NJD | CAR2,NJD0 | RECAP | |||||||||
| Tue, Nov 4 | FLO | @ | CAR | FLO3,CAR4 (OT) | RECAP | |||||||||
| Thu, Nov 6 | CAR | @ | PIT | CAR6,PIT3 | RECAP | |||||||||
| Sun, Nov 9 | NYR | @ | CAR | NYR5,CAR2 | RECAP | |||||||||
| Tue, Nov 11 | PIT | @ | CAR | PIT4,CAR9 | RECAP | |||||||||
| Wed, Nov 12 | CAR | @ | NYR | CAR1,NYR6 | RECAP | |||||||||
| Fri, Nov 14 | CAR | @ | STL | CAR4,STL3 (SO) | RECAP | |||||||||
| Sat, Nov 15 | FLO | @ | CAR | FLO2,CAR1 | RECAP | |||||||||
| Tue, Nov 18 | CAR | @ | CAL | CAR6,CAL1 | RECAP | |||||||||
| Wed, Nov 19 | CAR | @ | TOR | CAR3,TOR4 (SO) | RECAP | |||||||||
| Fri, Nov 21 | NYI | @ | CAR | NYI1,CAR6 | RECAP | |||||||||
| Sun, Nov 23 | NAS | @ | CAR | NAS3,CAR2 (SO) | RECAP | |||||||||
| Wed, Nov 26 | CAR | @ | LOS | CAR5,LOS6 | RECAP | |||||||||
| Fri, Nov 28 | S J | @ | CAR | S J1,CAR2 (OT) | RECAP | |||||||||
| Sat, Nov 29 | CAR | @ | MIN | CAR4,MIN1 | RECAP | |||||||||
| Tue, Dec 2 | NJD | @ | CAR | NJD0,CAR4 | RECAP | |||||||||
| Thu, Dec 4 | CAR | @ | BOS | CAR0,BOS1 | RECAP | |||||||||
| Sat, Dec 6 | ANA | @ | CAR | ANA2,CAR1 (OT) | RECAP | |||||||||
| Mon, Dec 8 | CAR | @ | BUF | |||||||||||
| Wed, Dec 10 | OTT | @ | CAR | |||||||||||
| Fri, Dec 12 | CAR | @ | VAN | |||||||||||
| Sun, Dec 14 | CAR | @ | DET | |||||||||||
| Mon, Dec 15 | CHI | @ | CAR | |||||||||||
| Thu, Dec 18 | PIT | @ | CAR | |||||||||||
| Sat, Dec 20 | CAR | @ | CLB | |||||||||||
| Mon, Dec 22 | DET | @ | CAR | |||||||||||
| Thu, Dec 25 | BOS | @ | CAR | |||||||||||
| Sat, Dec 27 | CAR | @ | DAL | |||||||||||
| Mon, Dec 29 | CAR | @ | PIT | |||||||||||
| Wed, Dec 31 | CAR | @ | OTT | |||||||||||
| Thu, Jan 1 | NYR | @ | CAR | |||||||||||
| Mon, Jan 5 | MIN | @ | CAR | |||||||||||
| Wed, Jan 7 | CAR | @ | PHI | |||||||||||
| Fri, Jan 9 | COL | @ | CAR | |||||||||||
| Sun, Jan 11 | CAR | @ | CHI | |||||||||||
| Mon, Jan 12 | WPG | @ | CAR | |||||||||||
| Wed, Jan 14 | CAR | @ | SEA | |||||||||||
| Fri, Jan 16 | TOR | @ | CAR | |||||||||||
| Sun, Jan 18 | CAR | @ | TAM | |||||||||||
| Tue, Jan 20 | MTL | @ | CAR | |||||||||||
| Thu, Jan 22 | CAR | @ | CHI | |||||||||||
| Sat, Jan 24 | VAN | @ | CAR | |||||||||||
| Mon, Jan 26 | CAR | @ | PHO | |||||||||||
| Wed, Jan 28 | CAR | @ | NAS | |||||||||||
| Thu, Jan 29 | CAL | @ | CAR | |||||||||||
| Sat, Jan 31 | CAR | @ | EDM | |||||||||||
| Sun, Feb 1 | TAM | @ | CAR | |||||||||||
| Thu, Feb 5 | CAR | @ | NYI | |||||||||||
| Fri, Feb 6 | CLB | @ | CAR | |||||||||||
| Mon, Feb 9 | CHI | @ | CAR | |||||||||||
| Wed, Feb 11 | CAR | @ | MTL | |||||||||||
| Thu, Feb 12 | CAR | @ | NJD | |||||||||||
| Sat, Feb 14 | PHI | @ | CAR | |||||||||||
| Mon, Feb 16 | WAS | @ | CAR | |||||||||||
| Wed, Feb 18 | CAR | @ | S J | |||||||||||
| Fri, Feb 20 | CAR | @ | FLO | |||||||||||
| Sat, Feb 21 | EDM | @ | CAR | |||||||||||
| Tue, Feb 24 | CAR | @ | ANA | |||||||||||
| Wed, Feb 25 | WAS | @ | CAR | |||||||||||
| Sat, Feb 28 | CAR | @ | WAS | |||||||||||
| Sun, Mar 1 | LOS | @ | CAR | |||||||||||
| Wed, Mar 4 | STL | @ | CAR | |||||||||||
| Thu, Mar 5 | CAR | @ | FLO | |||||||||||
| Sun, Mar 8 | CAR | @ | COL | |||||||||||
| Mon, Mar 9 | SEA | @ | CAR | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Wed, Mar 11 | CAR | @ | WPG | |||||||||||
| Sat, Mar 14 | BUF | @ | CAR | |||||||||||
| Wed, Mar 18 | PHO | @ | CAR | |||||||||||
| Tue, Mar 24 | DAL | @ | CAR | |||||||||||
| 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 |
| 26 | 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 |
|---|---|---|---|
| 1,379,989$ | 0$ | 1,199,491$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 23,166$ | 2,501,928$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,501,928$ | 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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