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Full Scoreboard »» |
![]() | Chicago Wolves 10-2-2, 22pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Steeves | 0 | C/LW | 100.00 | 75 | 56 | 68 | 73 | 74 | 77 | 73 | 70 | 44 | 66 | 69 | 67 | 70 | 63 | 56 | 1 | 50 | 67 | 26 | 1,200,000$/3yrs | |||
Jakob Pelletier | 0 | LW/RW | 100.00 | 64 | 41 | 77 | 76 | 62 | 71 | 67 | 69 | 46 | 67 | 64 | 68 | 69 | 55 | 50 | 1 | 50 | 65 | 25 | 1,200,000$/3yrs | |||
Devin Shore | 0 | C/LW | 100.00 | 71 | 40 | 83 | 66 | 75 | 69 | 79 | 62 | 61 | 58 | 56 | 64 | 62 | 85 | 72 | 1 | 50 | 64 | 31 | 1,500,000$/2yrs | |||
Filip Bystedt | 0 | C | 100.00 | 64 | 42 | 70 | 65 | 69 | 63 | 61 | 65 | 44 | 64 | 60 | 60 | 63 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/1yrs | |||
Kyle Criscuolo | 0 | C | 100.00 | 52 | 42 | 72 | 67 | 55 | 72 | 72 | 64 | 61 | 62 | 58 | 55 | 63 | 70 | 60 | 1 | 50 | 61 | 34 | 1,000,000$/2yrs | |||
Oscar Fisker Molgaard (R) | 0 | C | 100.00 | 62 | 41 | 71 | 68 | 62 | 62 | 60 | 62 | 42 | 62 | 60 | 62 | 62 | 50 | 50 | 1 | 50 | 60 | 21 | 1,500,000$/4yrs | |||
Robert Mastrosimone | 0 | LW | 100.00 | 55 | 43 | 67 | 69 | 55 | 66 | 64 | 61 | 43 | 58 | 56 | 58 | 62 | 53 | 50 | 1 | 50 | 59 | 25 | 975,000$/1yrs | |||
Kalan Lind (R) | 0 | LW | 100.00 | 60 | 45 | 61 | 64 | 60 | 60 | 60 | 60 | 41 | 60 | 60 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 21 | 1,200,000$/4yrs | |||
Lane Pederson | 0 | C/RW | 100.00 | 56 | 43 | 67 | 64 | 63 | 68 | 66 | 63 | 62 | 60 | 59 | 53 | 62 | 57 | 51 | 1 | 50 | 59 | 28 | 1,000,000$/4yrs | |||
Tyler Boucher | 0 | RW | 100.00 | 65 | 46 | 63 | 63 | 69 | 63 | 61 | 60 | 42 | 56 | 54 | 59 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 1,000,000$/4yrs | |||
Spencer Smallman | 0 | RW | 100.00 | 59 | 42 | 69 | 61 | 64 | 68 | 66 | 59 | 56 | 56 | 53 | 57 | 58 | 59 | 52 | 1 | 50 | 58 | 29 | 1,000,000$/2yrs | |||
Zach Sanford | 0 | C/LW | 100.00 | 55 | 42 | 59 | 57 | 63 | 67 | 66 | 59 | 43 | 58 | 55 | 54 | 57 | 67 | 54 | 1 | 50 | 57 | 31 | 1,500,000$/2yrs | |||
Matthew Kessel | 0 | D | 100.00 | 62 | 41 | 81 | 73 | 85 | 82 | 70 | 69 | 40 | 62 | 63 | 68 | 68 | 63 | 53 | 1 | 50 | 68 | 26 | 1,200,000$/3yrs | |||
Jack Thompson | 0 | D | 100.00 | 60 | 41 | 75 | 73 | 69 | 71 | 65 | 67 | 40 | 63 | 60 | 69 | 67 | 54 | 50 | 1 | 50 | 65 | 24 | 1,000,000$/4yrs | |||
Robert Hägg | 0 | D | 100.00 | 60 | 44 | 66 | 66 | 67 | 73 | 70 | 64 | 40 | 60 | 57 | 67 | 62 | 78 | 55 | 1 | 50 | 64 | 31 | 1,000,000$/2yrs | |||
Nolan Allan | 0 | D | 100.00 | 63 | 45 | 69 | 69 | 70 | 71 | 65 | 65 | 40 | 62 | 57 | 65 | 63 | 52 | 50 | 1 | 50 | 63 | 23 | 975,000$/1yrs | |||
Beau Akey (R) | 0 | D | 100.00 | 61 | 42 | 69 | 69 | 60 | 62 | 60 | 60 | 40 | 60 | 60 | 66 | 61 | 50 | 50 | 1 | 50 | 61 | 21 | 1,200,000$/4yrs | |||
Tyson Hinds | 0 | D | 100.00 | 61 | 43 | 70 | 69 | 63 | 65 | 63 | 63 | 40 | 59 | 54 | 65 | 62 | 51 | 50 | 1 | 50 | 61 | 23 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Nico Myatovic | 0 | LW | 100.00 | 62 | 42 | 72 | 65 | 65 | 62 | 60 | 60 | 42 | 55 | 53 | 57 | 60 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/1yrs | |||
Joseph Blandisi | 0 | C | 100.00 | 53 | 49 | 53 | 60 | 56 | 66 | 64 | 58 | 57 | 57 | 54 | 55 | 57 | 65 | 55 | 1 | 50 | 57 | 31 | 1,200,000$/3yrs | |||
Chase Stillman | 0 | RW | 100.00 | 58 | 45 | 63 | 64 | 64 | 63 | 60 | 58 | 41 | 53 | 53 | 52 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/1yrs | |||
Blade Jenkins | 0 | C/LW/RW | 100.00 | 56 | 41 | 65 | 56 | 59 | 59 | 57 | 53 | 41 | 52 | 51 | 53 | 53 | 52 | 50 | 1 | 50 | 54 | 25 | 1,000,000$/4yrs | |||
Ludwig Persson (R) | 0 | LW | 100.00 | 57 | 40 | 66 | 59 | 61 | 55 | 54 | 52 | 41 | 51 | 50 | 52 | 53 | 50 | 50 | 1 | 50 | 53 | 22 | 1,000,000$/4yrs | |||
Milos Kelemen | 0 | C/LW/RW | 100.00 | 57 | 41 | 61 | 54 | 62 | 57 | 54 | 53 | 40 | 51 | 51 | 52 | 53 | 53 | 50 | 1 | 50 | 53 | 26 | 975,000$/1yrs | |||
Anton Johansson | 0 | D | 100.00 | 64 | 40 | 69 | 65 | 65 | 59 | 56 | 56 | 40 | 52 | 52 | 65 | 58 | 50 | 50 | 1 | 50 | 59 | 22 | 1,000,000$/4yrs | |||
Turner Ottenbreit | 0 | D | 100.00 | 57 | 50 | 59 | 64 | 63 | 68 | 66 | 60 | 40 | 53 | 52 | 60 | 59 | 56 | 50 | 1 | 50 | 59 | 28 | 1,200,000$/3yrs | |||
Vincent Sevigny | 0 | D | 100.00 | 61 | 40 | 69 | 65 | 65 | 62 | 59 | 53 | 40 | 50 | 50 | 65 | 56 | 53 | 50 | 1 | 50 | 59 | 25 | 1,200,000$/1yrs | |||
Ty Smith | 0 | D | 100.00 | 53 | 41 | 59 | 65 | 55 | 58 | 56 | 58 | 40 | 58 | 52 | 62 | 58 | 53 | 50 | 1 | 50 | 57 | 26 | 1,500,000$/2yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nico Daws | 0 | 98.00 | 71 | 67 | 72 | 68 | 71 | 70 | 73 | 69 | 72 | 72 | 60 | 53 | 50 | 1 | 50 | 64 | 25 | 2,000,000$/3yrs |
Laurent Brossoit | 0 | 100.00 | 64 | 69 | 71 | 67 | 68 | 67 | 69 | 66 | 67 | 67 | 65 | 72 | 63 | 1 | 50 | 62 | 33 | 3,000,000$/1yrs |
| Scratches | ||||||||||||||||||||
Waltteri Ignatjew | 0 | 100.00 | 68 | 63 | 64 | 64 | 66 | 65 | 67 | 64 | 66 | 66 | 58 | 52 | 50 | 1 | 50 | 60 | 26 | 1,000,000$/2yrs |
Keith Petruzzelli | 0 | 100.00 | 67 | 59 | 57 | 65 | 63 | 61 | 62 | 58 | 62 | 63 | 52 | 54 | 50 | 1 | 50 | 57 | 27 | 1,200,000$/3yrs |
Riley Mercer | 0 | 100.00 | 63 | 54 | 54 | 65 | 60 | 59 | 60 | 57 | 60 | 59 | 53 | 50 | 50 | 1 | 50 | 55 | 22 | 1,000,000$/4yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Pascal Vincent | 76 | 75 | 74 | 72 | 78 | 57 | 1 | CAN | 54 | 4 | 350,000$ |
| 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 | Filip Bystedt | Wolves (CAR) | C | 14 | 7 | 12 | 19 | 4 | 8 | 0 | 22 | 38 | 12 | 29 | 18.42% | 4 | 17.13 | 1 | 3 | 4 | 0 | 0 | 0 | 4 | 1 | 1 | 41.94% | 0 | 0 | 1.36 | 0 | 0 | 1.21 | |||
| 2 | Alex Steeves | Wolves (CAR) | C/LW | 14 | 7 | 8 | 15 | -5 | 4 | 0 | 31 | 48 | 21 | 30 | 14.58% | 4 | 20.01 | 4 | 2 | 6 | 0 | 0 | 0 | 20 | 0 | 0 | 44.44% | 0 | 0 | 1.07 | 1 | 1 | 0.96 | |||
| 3 | Matthew Kessel | Wolves (CAR) | D | 14 | 1 | 14 | 15 | -2 | 5 | 5 | 19 | 43 | 14 | 13 | 2.33% | 15 | 26.15 | 0 | 3 | 3 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 1.07 | 0 | 0 | 0.92 | |||
| 4 | Jakob Pelletier | Wolves (CAR) | LW/RW | 14 | 5 | 9 | 14 | -4 | 0 | 0 | 24 | 49 | 17 | 33 | 10.20% | 6 | 18.83 | 1 | 4 | 5 | 0 | 0 | 0 | 3 | 1 | 0 | 50.00% | 0 | 0 | 1.00 | 1 | 1 | 0.98 | |||
| 5 | Lane Pederson | Wolves (CAR) | C/RW | 14 | 6 | 5 | 11 | 7 | 4 | 0 | 22 | 41 | 10 | 15 | 14.63% | 6 | 17.23 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 0 | 0 | 0.79 | 0 | 0 | 0.99 | |||
| 6 | Devin Shore | Wolves (CAR) | C/LW | 14 | 5 | 4 | 9 | 3 | 2 | 0 | 15 | 29 | 5 | 22 | 17.24% | 6 | 20.47 | 2 | 0 | 2 | 0 | 0 | 0 | 19 | 1 | 2 | 52.83% | 0 | 0 | 0.64 | 1 | 1 | 0.72 | |||
| 7 | Nolan Allan | Wolves (CAR) | D | 14 | 1 | 6 | 7 | 9 | 4 | 0 | 18 | 19 | 13 | 9 | 5.26% | 13 | 20.38 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 1 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.69 | |||
| 8 | Jack Thompson | Wolves (CAR) | D | 14 | 1 | 6 | 7 | -2 | 6 | 0 | 18 | 21 | 16 | 15 | 4.76% | 21 | 25.88 | 1 | 1 | 2 | 0 | 0 | 0 | 21 | 0 | 1 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.44 | |||
| 9 | Robert Mastrosimone | Wolves (CAR) | LW | 14 | 5 | 1 | 6 | 9 | 6 | 0 | 15 | 26 | 10 | 19 | 19.23% | 1 | 13.91 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 0 | 33.33% | 0 | 0 | 0.43 | 0 | 0 | 0.65 | |||
| 10 | Tyler Boucher | Wolves (CAR) | RW | 13 | 2 | 4 | 6 | 6 | 2 | 0 | 18 | 15 | 7 | 13 | 13.33% | 6 | 12.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.46 | 0 | 0 | 0.62 | |||
| 11 | Kalan Lind | Wolves (CAR) | LW | 14 | 4 | 2 | 6 | 0 | 6 | 0 | 15 | 37 | 9 | 8 | 10.81% | 3 | 10.40 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 100.00% | 0 | 0 | 0.43 | 0 | 0 | 0.48 | |||
| 12 | Kyle Criscuolo | Wolves (CAR) | C | 14 | 3 | 3 | 6 | 5 | 0 | 0 | 14 | 40 | 10 | 24 | 7.50% | 2 | 13.54 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 63.51% | 1 | 0 | 0.43 | 0 | 0 | 0.72 | |||
| 13 | Oscar Fisker Molgaard | Wolves (CAR) | C | 14 | 3 | 3 | 6 | -1 | 5 | 5 | 16 | 18 | 6 | 14 | 16.67% | 5 | 15.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.92% | 0 | 0 | 0.43 | 0 | 0 | 0.33 | |||
| 14 | Robert Hägg | Wolves (CAR) | D | 14 | 0 | 4 | 4 | 8 | 2 | 0 | 21 | 11 | 3 | 7 | 0.00% | 9 | 19.68 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.47 | |||
| 15 | Beau Akey | Wolves (CAR) | D | 14 | 0 | 3 | 3 | 0 | 2 | 0 | 7 | 14 | 5 | 4 | 0.00% | 5 | 14.80 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.21 | |||
| 16 | Tyson Hinds | Wolves (CAR) | D | 14 | 0 | 2 | 2 | 2 | 7 | 5 | 7 | 3 | 2 | 6 | 0.00% | 7 | 14.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.10 | |||
| 17 | Spencer Smallman | Wolves (CAR) | RW | 14 | 1 | 1 | 2 | -1 | 4 | 0 | 16 | 24 | 8 | 10 | 4.17% | 2 | 10.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.14 | 0 | 0 | 0.20 | |||
| 18 | Zach Sanford | Wolves (CAR) | C/LW | 13 | 0 | 1 | 1 | -1 | 0 | 0 | 12 | 6 | 5 | 7 | 0.00% | 4 | 11.33 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 41.94% | 0 | 0 | 0.08 | 0 | 0 | 0.09 | |||
| 19 | Anton Johansson | Wolves (CAR) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 20 | Vincent Sevigny | Wolves (CAR) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 252 | 51 | 88 | 139 | 37 | 67 | 15 | 310 | 482 | 173 | 278 | 10.58% | 119 | 16.66 | 11 | 14 | 25 | 237 | 0 | 0 | 0 | 165 | 9 | 5 | 47.53% | 728 | 96 | 87 | 1 | 0 | 0.66 | 3 | 3 |
| 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 | Nico Daws | Wolves (CAR) | 13 | 9 | 2 | 2 | 0.889 | 2.72 | 793 | 0 | 1 | 36 | 323 | 167 | 3 | 1 | 0.333 | 3 | 13 | 0 | 1 | 0 | 0 |
| 2 | Laurent Brossoit | Wolves (CAR) | 1 | 1 | 0 | 0 | 0.920 | 2.00 | 60 | 0 | 0 | 2 | 25 | 18 | 0 | 0 | 0.000 | 0 | 1 | 13 | 0 | 0 | 0 |
| Team Total or Average | 14 | 10 | 2 | 2 | 0.891 | 2.67 | 853 | 0 | 1 | 38 | 348 | 185 | 3 | 1 | 0.333 | 3 | 14 | 13 | 1 | 0 | 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/LW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Anton Johansson | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
| Beau Akey | D | 21 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||
| Blade Jenkins | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Chase Stillman | RW | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Devin Shore | C/LW | 31 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Filip Bystedt | C | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Jack Thompson | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Jakob Pelletier | LW/RW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Joseph Blandisi | C | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Kalan Lind | LW | 21 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||
| Keith Petruzzelli | G | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Kyle Criscuolo | C | 34 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Lane Pederson | C/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Laurent Brossoit | G | 33 | 3,000,000$ | 3,000,000$ | UFA | ||||||
| Ludwig Persson | LW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
| Matthew Kessel | D | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Milos Kelemen | C/LW/RW | 26 | 975,000$ | 975,000$ | UFA | ||||||
| Nico Daws | G | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
| Nico Myatovic | LW | 21 | 975,000$ | 975,000$ | RFA | ||||||
| Nolan Allan | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Oscar Fisker Molgaard | C | 21 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
| Riley Mercer | G | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
| Robert Hägg | D | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Robert Mastrosimone | LW | 25 | 975,000$ | 975,000$ | |||||||
| Spencer Smallman | RW | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Turner Ottenbreit | D | 28 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Ty Smith | D | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Tyler Boucher | RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
| Tyson Hinds | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Vincent Sevigny | D | 25 | 1,200,000$ | 1,200,000$ | |||||||
| Waltteri Ignatjew | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Zach Sanford | C/LW | 31 | 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 | Heat | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 11 | 10 | 1 | 5 | 0.833 | 11 | 17 | 28 | 0 | 0 | 9 | 20 | 21 | 4 | 109 | 164 | 158 | 154 | 9 | 80 | 25 | 8 | 66 | 4 | 2 | 50.00% | 4 | 2 | 50.00% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 52.9% | 10.1% | 87.5% | 97.6 | FUN |
| 2 | IceHogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 9 | 20 | 21 | 4 | 31 | 164 | 158 | 154 | 9 | 10 | 6 | 2 | 22 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 66.7% | 12.9% | 80.0% | 92.9 | FUN |
| 3 | Eagles | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 9 | 20 | 21 | 4 | 37 | 164 | 158 | 154 | 9 | 22 | 5 | 12 | 29 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 71.4% | 13.5% | 81.8% | 95.3 | FUN |
| 4 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 20 | 21 | 4 | 25 | 164 | 158 | 154 | 9 | 37 | 9 | 7 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 16.7% | 4.0% | 86.5% | 90.5 | Unlucky |
| 5 | Checkers 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 9 | 20 | 21 | 4 | 71 | 164 | 158 | 154 | 9 | 48 | 19 | 10 | 43 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 69.2% | 14.1% | 91.7% | 105.8 | LUCKY |
| 6 | Wolf Pack | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 6 | 10 | 8 | 1.000 | 16 | 27 | 43 | 0 | 1 | 9 | 20 | 21 | 4 | 145 | 164 | 158 | 154 | 9 | 77 | 37 | 24 | 85 | 9 | 5 | 55.56% | 12 | 2 | 83.33% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 73.3% | 11.0% | 92.2% | 103.2 | LUCKY |
| 7 | Penguins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 8 | 13 | 1 | 0 | 9 | 20 | 21 | 4 | 64 | 164 | 158 | 154 | 9 | 75 | 18 | 4 | 43 | 7 | 3 | 42.86% | 2 | 0 | 100.00% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 20.0% | 7.8% | 89.3% | 97.1 | Unlucky |
| _Vs Division | 3 | 6 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 9 | 2 | 13 | 2.167 | 11 | 20 | 31 | 0 | 0 | 9 | 20 | 21 | 4 | 96 | 164 | 158 | 154 | 9 | 85 | 28 | 17 | 65 | 8 | 1 | 12.50% | 1 | 0 | 100.00% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 52.6% | 11.5% | 89.4% | 100.9 | FUN | |
| _Vs Conference | 8 | 6 | 1 | 0 | 0 | 1 | 0 | 0 | 31 | 18 | 13 | 13 | 0.813 | 31 | 53 | 84 | 1 | 1 | 9 | 20 | 21 | 4 | 280 | 164 | 158 | 154 | 9 | 200 | 74 | 38 | 171 | 22 | 9 | 40.91% | 14 | 2 | 85.71% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 57.9% | 11.1% | 91.0% | 102.1 | FUN | |
| _Since Last GM Reset | 14 | 8 | 2 | 0 | 1 | 2 | 1 | 0 | 52 | 39 | 13 | 22 | 0.786 | 52 | 88 | 140 | 1 | 1 | 9 | 20 | 21 | 4 | 482 | 164 | 158 | 154 | 9 | 349 | 119 | 67 | 310 | 32 | 11 | 34.38% | 26 | 6 | 76.92% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 55.4% | 10.8% | 88.8% | 99.6 | FUN | |
| Total | 14 | 8 | 2 | 0 | 1 | 2 | 1 | 0 | 52 | 39 | 13 | 22 | 0.786 | 52 | 88 | 140 | 1 | 1 | 9 | 20 | 21 | 4 | 482 | 164 | 158 | 154 | 9 | 349 | 119 | 67 | 310 | 32 | 11 | 34.38% | 26 | 6 | 76.92% | 0 | 155 | 293 | 52.90% | 109 | 225 | 48.44% | 82 | 192 | 42.71% | 305 | 171 | 264 | 138 | 284 | 136 | 55.4% | 10.8% | 88.8% | 99.6 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 20 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 293 |
| Neutral Zone Start | 192 |
| Defensive Zone Start | 225 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 346 |
| Faceoffs Lost | 364 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.7 | 9.57 |
| 2nd Period | 23.0 | 20.31 |
| 3rd Period | 34.0 | 30.68 |
| Overtime | 34.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 3.6 | 2.67 |
| Overtime | 3.9 | 2.83 |
| Even Strenght Goal | 40 |
|---|---|
| PP Goal | 11 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 6 | 4 |
| Lost | 1 | 1 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 32 |
|---|---|
| PP Goal | 11 |
| PK Attempt | 26 |
| PK Goal Against | 6 |
| Home | |
|---|---|
| Shots For | 34.4 |
| Shots Against | 24.9 |
| Goals For | 3.7 |
| Goals Against | 2.8 |
| Hits | 22.1 |
| Shots Blocked | 8.5 |
| Pim | 4.8 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mon, Oct 12 | CAR | @ | CAL | CAR4,CAL3 | RECAP | |||||||||
| Wed, Oct 14 | FLO | @ | CAR | FLO2,CAR5 | RECAP | |||||||||
| Thu, Oct 15 | CHI | @ | CAR | CHI2,CAR4 | RECAP | |||||||||
| Sat, Oct 17 | PIT | @ | CAR | PIT4,CAR3 (OT) | RECAP | |||||||||
| Mon, Oct 19 | NYR | @ | CAR | NYR2,CAR7 | RECAP | |||||||||
| Wed, Oct 21 | CAR | @ | CAL | CAR3,CAL4 (OT) | RECAP | |||||||||
| Fri, Oct 23 | CAR | @ | FLO | CAR5,FLO2 | RECAP | |||||||||
| Sun, Oct 25 | CAR | @ | PIT | CAR2,PIT4 | RECAP | |||||||||
| Tue, Oct 27 | NYR | @ | CAR | NYR3,CAR5 | RECAP | |||||||||
| Thu, Oct 29 | CAL | @ | CAR | CAL3,CAR4 (SO) | RECAP | |||||||||
| Sat, Oct 31 | CAR | @ | NYR | CAR3,NYR1 | RECAP | |||||||||
| Mon, Nov 2 | COL | @ | CAR | COL4,CAR5 (OT) | RECAP | |||||||||
| Wed, Nov 4 | CAR | @ | NYR | CAR1,NYR0 | RECAP | |||||||||
| Fri, Nov 6 | DET | @ | CAR | DET5,CAR1 | RECAP | |||||||||
| Sun, Nov 8 | STL | @ | CAR | |||||||||||
| Tue, Nov 10 | CAR | @ | TAM | |||||||||||
| Thu, Nov 12 | CAR | @ | MIN | |||||||||||
| Sat, Nov 14 | CAR | @ | COL | |||||||||||
| Mon, Nov 16 | CAR | @ | CHI | |||||||||||
| Wed, Nov 18 | TAM | @ | CAR | |||||||||||
| Fri, Nov 20 | FLO | @ | CAR | |||||||||||
| Sun, Nov 22 | DAL | @ | CAR | |||||||||||
| Tue, Nov 24 | CAR | @ | CHI | |||||||||||
| Thu, Nov 26 | CAR | @ | WPG | |||||||||||
| Sat, Nov 28 | CAR | @ | PIT | |||||||||||
| Sun, Nov 29 | NAS | @ | CAR | |||||||||||
| Tue, Dec 1 | CAR | @ | FLO | |||||||||||
| Thu, Dec 3 | CAR | @ | DET | |||||||||||
| Fri, Dec 4 | WPG | @ | CAR | |||||||||||
| Sun, Dec 6 | PHO | @ | CAR | |||||||||||
| Tue, Dec 8 | CAR | @ | SEA | |||||||||||
| Thu, Dec 10 | CAR | @ | PHO | |||||||||||
| Sat, Dec 12 | S J | @ | CAR | |||||||||||
| Mon, Dec 14 | CAR | @ | WAS | |||||||||||
| Tue, Dec 15 | PHI | @ | CAR | |||||||||||
| Thu, Dec 17 | PIT | @ | CAR | |||||||||||
| Sat, Dec 19 | CAR | @ | ANA | |||||||||||
| Mon, Dec 21 | CAR | @ | EDM | |||||||||||
| Wed, Dec 23 | SEA | @ | CAR | |||||||||||
| Fri, Dec 25 | CAR | @ | BUF | |||||||||||
| Sat, Dec 26 | CHI | @ | CAR | |||||||||||
| Mon, Dec 28 | LOS | @ | CAR | |||||||||||
| Thu, Dec 31 | CHI | @ | CAR | |||||||||||
| Fri, Jan 1 | CAR | @ | WAS | |||||||||||
| Sun, Jan 3 | CAR | @ | VAN | |||||||||||
| Mon, Jan 4 | TOR | @ | CAR | |||||||||||
| Wed, Jan 6 | CAR | @ | OTT | |||||||||||
| Fri, Jan 8 | OTT | @ | CAR | |||||||||||
| Sun, Jan 10 | CAR | @ | S J | |||||||||||
| Mon, Jan 11 | NYI | @ | CAR | |||||||||||
| Wed, Jan 13 | CAR | @ | MIN | |||||||||||
| Thu, Jan 14 | CAR | @ | LOS | |||||||||||
| Sat, Jan 16 | ANA | @ | CAR | |||||||||||
| Mon, Jan 18 | CAR | @ | TOR | |||||||||||
| Tue, Jan 19 | NJD | @ | CAR | |||||||||||
| Fri, Jan 22 | MIN | @ | CAR | |||||||||||
| Sun, Jan 24 | BUF | @ | CAR | |||||||||||
| Tue, Jan 26 | CAR | @ | NJD | |||||||||||
| Wed, Jan 27 | CAR | @ | NAS | |||||||||||
| Fri, Jan 29 | MTL | @ | CAR | |||||||||||
| Sun, Jan 31 | CAR | @ | STL | |||||||||||
| Mon, Feb 1 | CAR | @ | BOS | |||||||||||
| Wed, Feb 3 | VAN | @ | CAR | |||||||||||
| Fri, Feb 5 | PHI | @ | CAR | |||||||||||
| Sun, Feb 7 | CAR | @ | NJD | |||||||||||
| Tue, Feb 9 | EDM | @ | CAR | |||||||||||
| Thu, Feb 11 | CAR | @ | MTL | |||||||||||
| Fri, Feb 12 | CLB | @ | CAR | |||||||||||
| Sat, Feb 13 | CAR | @ | CLB | |||||||||||
| Tue, Feb 16 | BOS | @ | CAR | |||||||||||
| Thu, Feb 18 | CAR | @ | NYI | |||||||||||
| Fri, Feb 19 | CAR | @ | DAL | |||||||||||
| Sun, Feb 21 | NYI | @ | CAR | |||||||||||
| Wed, Feb 24 | BOS | @ | CAR | |||||||||||
| Sat, Feb 27 | EDM | @ | CAR | |||||||||||
| Mon, Mar 1 | CAR | @ | NYI | |||||||||||
| Wed, Mar 3 | CAR | @ | NYR | |||||||||||
| Thu, Mar 4 | VAN | @ | CAR | |||||||||||
| Mon, Mar 8 | ANA | @ | CAR | |||||||||||
| Tue, Mar 9 | CAR | @ | BOS | |||||||||||
| Thu, Mar 11 | CAR | @ | PHI | |||||||||||
| Sun, Mar 14 | WAS | @ | CAR | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Wed, Mar 17 | WAS | @ | CAR | |||||||||||
| Thu, Mar 18 | CAR | @ | PHI | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,962,500$ | 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 |
| 34 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,962,500$ | 3,962,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 715,038$ | 0$ | 656,715$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 158 | 26,620$ | 3,593,700$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,593,700$ | 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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