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Full Scoreboard »» |
![]() | Iowa Wild 17-24-5, 39pts · 15th in Conference 2 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Frank Nazar | 0 | C | 100.00 | 60 | 40 | 76 | 78 | 76 | 84 | 68 | 72 | 60 | 68 | 68 | 67 | 73 | 55 | 50 | 1 | 50 | 68 | 21 | 975,000$/2yrs | |||
Zack Ostapchuk | 0 | C | 100.00 | 76 | 58 | 67 | 69 | 80 | 72 | 70 | 65 | 66 | 61 | 61 | 66 | 65 | 55 | 50 | 1 | 50 | 64 | 22 | 975,000$/2yrs | |||
Jimmy Snuggerud (R) | 0 | RW | 100.00 | 56 | 40 | 69 | 69 | 72 | 76 | 59 | 64 | 40 | 61 | 61 | 61 | 64 | 51 | 50 | 1 | 50 | 62 | 21 | 950,000$/2yrs | |||
Alex Limoges | 0 | C | 100.00 | 62 | 40 | 73 | 67 | 64 | 68 | 66 | 64 | 44 | 64 | 60 | 62 | 64 | 55 | 50 | 1 | 50 | 62 | 27 | 1,100,000$/1yrs | |||
Curtis McKenzie | 0 | LW | 100.00 | 56 | 51 | 60 | 62 | 63 | 71 | 71 | 64 | 44 | 62 | 58 | 56 | 61 | 70 | 66 | 1 | 50 | 61 | 34 | 1,000,000$/2yrs | |||
Matthew Savoie (R) | 0 | C | 100.00 | 62 | 41 | 66 | 67 | 58 | 61 | 60 | 62 | 43 | 62 | 59 | 64 | 63 | 50 | 50 | 1 | 50 | 60 | 21 | 886,667$/2yrs | |||
Joakim Kemell | 0 | RW | 100.00 | 60 | 42 | 69 | 66 | 64 | 61 | 58 | 63 | 44 | 61 | 59 | 54 | 63 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/1yrs | |||
Cole Bardreau | 0 | C/LW/RW | 100.00 | 53 | 50 | 61 | 62 | 60 | 72 | 71 | 61 | 44 | 59 | 54 | 52 | 59 | 65 | 56 | 1 | 50 | 58 | 31 | 1,550,000$/2yrs | |||
Cooper Marody | 0 | RW | 100.00 | 54 | 41 | 66 | 63 | 62 | 66 | 64 | 58 | 42 | 56 | 54 | 53 | 58 | 57 | 50 | 1 | 50 | 57 | 28 | 1,500,000$/3yrs | |||
Anthony Vincent | 0 | C/LW/RW | 100.00 | 59 | 50 | 62 | 64 | 62 | 67 | 65 | 59 | 42 | 53 | 53 | 57 | 59 | 55 | 50 | 1 | 50 | 57 | 27 | 1,000,000$/2yrs | |||
Shakir Mukhamadullin | 0 | D | 100.00 | 61 | 41 | 78 | 73 | 78 | 77 | 65 | 67 | 40 | 65 | 61 | 69 | 67 | 55 | 50 | 1 | 50 | 66 | 23 | 950,000$/2yrs | |||
Jack Rathbone | 0 | D | 100.00 | 59 | 44 | 67 | 71 | 59 | 67 | 65 | 65 | 40 | 60 | 57 | 68 | 65 | 54 | 50 | 1 | 50 | 62 | 26 | 1,150,000$/1yrs | |||
Hunter Brzustewicz (R) | 0 | D | 100.00 | 59 | 41 | 69 | 64 | 62 | 60 | 58 | 62 | 40 | 62 | 56 | 64 | 61 | 50 | 50 | 1 | 50 | 60 | 20 | 950,000$/2yrs | |||
Topi Niemelä | 0 | D | 100.00 | 56 | 42 | 71 | 68 | 61 | 64 | 62 | 62 | 40 | 62 | 55 | 63 | 62 | 51 | 50 | 1 | 50 | 60 | 23 | 975,000$/2yrs | |||
Ryan Mast | 0 | D | 100.00 | 68 | 41 | 70 | 60 | 72 | 60 | 57 | 56 | 40 | 52 | 51 | 65 | 56 | 50 | 50 | 1 | 50 | 59 | 22 | 975,000$/2yrs | |||
Travis Mitchell | 0 | D | 100.00 | 58 | 53 | 58 | 60 | 67 | 65 | 63 | 60 | 40 | 54 | 55 | 55 | 59 | 52 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/2yrs | |||
Ethan Edwards (R) | 0 | D | 100.00 | 61 | 40 | 66 | 62 | 62 | 59 | 57 | 55 | 40 | 54 | 53 | 62 | 57 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
Trey Taylor | 0 | D | 100.00 | 60 | 40 | 66 | 62 | 62 | 59 | 57 | 55 | 40 | 54 | 53 | 61 | 57 | 51 | 50 | 1 | 50 | 58 | 23 | 1,000,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jakub Demek | 0 | C | 100.00 | 63 | 41 | 71 | 60 | 67 | 62 | 59 | 59 | 42 | 57 | 54 | 54 | 58 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
Filip Mesar (R) | 0 | RW | 100.00 | 58 | 41 | 67 | 62 | 58 | 61 | 59 | 58 | 41 | 58 | 54 | 56 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 886,667$/2yrs | |||
Ondrej Becher (R) | 0 | C | 100.00 | 57 | 40 | 68 | 61 | 62 | 61 | 60 | 59 | 52 | 56 | 56 | 54 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 867,500$/2yrs | |||
Ryan McGregor | 0 | C | 100.00 | 56 | 41 | 72 | 66 | 59 | 65 | 63 | 58 | 56 | 55 | 52 | 55 | 58 | 54 | 50 | 1 | 50 | 57 | 26 | 1,200,000$/1yrs | |||
Tanner Dickinson | 0 | C | 100.00 | 57 | 41 | 72 | 65 | 60 | 63 | 61 | 58 | 54 | 54 | 53 | 53 | 59 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/2yrs | |||
Carson Bantle (R) | 0 | LW | 100.00 | 63 | 41 | 66 | 58 | 67 | 61 | 58 | 56 | 40 | 53 | 54 | 56 | 56 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/1yrs | |||
Ben Hemmerling (R) | 0 | RW | 100.00 | 59 | 40 | 66 | 62 | 61 | 58 | 56 | 55 | 40 | 54 | 54 | 55 | 57 | 50 | 50 | 1 | 50 | 55 | 21 | 975,000$/2yrs | |||
Evan Polei | 0 | LW | 100.00 | 56 | 43 | 56 | 53 | 62 | 59 | 57 | 53 | 40 | 51 | 51 | 53 | 52 | 58 | 50 | 1 | 50 | 53 | 29 | 1,550,000$/2yrs | |||
Tommy Bergsland | 0 | D | 100.00 | 59 | 40 | 66 | 62 | 61 | 60 | 58 | 54 | 40 | 53 | 53 | 61 | 56 | 51 | 50 | 1 | 50 | 57 | 24 | 1,000,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Yaroslav Askarov | 0 | 100.00 | 78 | 70 | 71 | 72 | 74 | 75 | 75 | 74 | 76 | 75 | 68 | 56 | 52 | 1 | 50 | 67 | 23 | 975,000$/1yrs |
Dylan Ferguson | 0 | 100.00 | 61 | 57 | 53 | 57 | 57 | 56 | 57 | 54 | 57 | 57 | 51 | 54 | 50 | 1 | 50 | 52 | 26 | 1,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
Dryden McKay | 0 | 100.00 | 59 | 55 | 53 | 56 | 55 | 52 | 52 | 50 | 52 | 55 | 53 | 55 | 50 | 1 | 50 | 50 | 27 | 1,000,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Brett McLean | 66 | 61 | 63 | 68 | 57 | 52 | 1 | CAN | 46 | 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 | Alex Limoges | Wild (MIN) | C | 46 | 15 | 21 | 36 | -11 | 6 | 0 | 72 | 103 | 28 | 60 | 14.56% | 18 | 22.07 | 5 | 7 | 12 | 0 | 0 | 0 | 25 | 1 | 0 | 43.55% | 0 | 0 | 0.78 | 0 | 1 | 0.63 | |||
| 2 | Jimmy Snuggerud | Wild (MIN) | RW | 46 | 7 | 18 | 25 | -20 | 20 | 10 | 59 | 93 | 32 | 79 | 7.53% | 20 | 22.11 | 1 | 6 | 7 | 0 | 0 | 0 | 40 | 1 | 0 | 43.42% | 0 | 0 | 0.54 | 1 | 5 | 0.35 | |||
| 3 | Curtis McKenzie | Wild (MIN) | LW | 46 | 10 | 12 | 22 | -14 | 41 | 15 | 65 | 87 | 25 | 54 | 11.49% | 31 | 22.86 | 1 | 5 | 6 | 0 | 0 | 0 | 58 | 1 | 2 | 43.55% | 0 | 0 | 0.48 | 0 | 1 | 0.28 | |||
| 4 | Joakim Kemell | Wild (MIN) | RW | 46 | 4 | 9 | 13 | -11 | 6 | 0 | 60 | 52 | 12 | 33 | 7.69% | 15 | 17.65 | 1 | 3 | 4 | 0 | 0 | 0 | 5 | 1 | 1 | 42.31% | 0 | 0 | 0.28 | 0 | 2 | 0.22 | |||
| 5 | Cole Bardreau | Wild (MIN) | C/LW/RW | 46 | 5 | 6 | 11 | -20 | 8 | 0 | 75 | 36 | 18 | 16 | 13.89% | 16 | 20.42 | 2 | 2 | 4 | 0 | 0 | 0 | 48 | 1 | 1 | 33.33% | 0 | 0 | 0.24 | 1 | 1 | 0.08 | |||
| 6 | Anthony Vincent | Wild (MIN) | C/LW/RW | 44 | 9 | 1 | 10 | -2 | 4 | 0 | 53 | 33 | 7 | 13 | 27.27% | 12 | 15.90 | 1 | 0 | 1 | 0 | 0 | 0 | 23 | 3 | 0 | 30.23% | 0 | 0 | 0.23 | 0 | 0 | 0.21 | |||
| 7 | Frank Nazar | Wild (MIN) | C | 29 | 4 | 5 | 9 | 1 | 0 | 0 | 23 | 20 | 6 | 16 | 20.00% | 5 | 15.50 | 1 | 2 | 3 | 0 | 0 | 0 | 29 | 3 | 0 | 53.15% | 0 | 0 | 0.31 | 0 | 0 | 0.30 | |||
| 8 | Shakir Mukhamadullin | Wild (MIN) | D | 45 | 0 | 9 | 9 | 9 | 12 | 0 | 36 | 25 | 10 | 12 | 0.00% | 22 | 11.76 | 0 | 2 | 2 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.23 | |||
| 9 | Hunter Brzustewicz | Wild (MIN) | D | 46 | 2 | 5 | 7 | -18 | 23 | 5 | 45 | 23 | 14 | 14 | 8.70% | 47 | 23.33 | 1 | 0 | 1 | 0 | 0 | 0 | 57 | 0 | 1 | 0.00% | 0 | 0 | 0.15 | 0 | 0 | -0.03 | |||
| 10 | Topi Niemelä | Wild (MIN) | D | 46 | 2 | 5 | 7 | -2 | 4 | 0 | 18 | 19 | 6 | 11 | 10.53% | 17 | 16.56 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 1 | 0 | 0.00% | 0 | 0 | 0.15 | 0 | 0 | 0.12 | |||
| 11 | Jack Rathbone | Wild (MIN) | D | 46 | 1 | 5 | 6 | -18 | 21 | 15 | 43 | 44 | 13 | 22 | 2.27% | 44 | 23.02 | 1 | 0 | 1 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | -0.01 | |||
| 12 | Ryan Mast | Wild (MIN) | D | 46 | 0 | 5 | 5 | -1 | 6 | 0 | 44 | 10 | 5 | 3 | 0.00% | 29 | 17.79 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.09 | |||
| 13 | Jakub Demek | Wild (MIN) | C | 25 | 3 | 1 | 4 | -2 | 4 | 0 | 19 | 9 | 3 | 3 | 33.33% | 7 | 11.84 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 43.42% | 0 | 0 | 0.16 | 0 | 0 | 0.10 | |||
| 14 | Matthew Savoie | Wild (MIN) | C | 46 | 2 | 1 | 3 | -12 | 0 | 0 | 41 | 33 | 16 | 12 | 6.06% | 10 | 14.26 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 0 | 44.97% | 0 | 0 | 0.07 | 1 | 2 | 0.03 | |||
| 15 | Ondrej Becher | Wild (MIN) | C | 20 | 1 | 2 | 3 | 0 | 2 | 0 | 12 | 9 | 2 | 5 | 11.11% | 2 | 7.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 68.42% | 0 | 0 | 0.15 | 0 | 0 | 0.14 | |||
| 16 | Cooper Marody | Wild (MIN) | RW | 23 | 0 | 2 | 2 | 0 | 0 | 0 | 13 | 14 | 4 | 13 | 0.00% | 4 | 13.48 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 66.67% | 0 | 0 | 0.09 | 0 | 0 | 0.12 | |||
| 17 | Filip Mesar | Wild (MIN) | RW | 21 | 1 | 1 | 2 | -2 | 4 | 0 | 12 | 8 | 4 | 11 | 12.50% | 3 | 8.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.10 | 0 | 0 | 0.06 | |||
| 18 | Travis Mitchell | Wild (MIN) | D | 32 | 0 | 1 | 1 | -4 | 18 | 0 | 11 | 5 | 1 | 3 | 0.00% | 20 | 19.38 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.09 | |||
| 19 | Ethan Edwards | Wild (MIN) | D | 44 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0.00% | 0 | 3.60 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | 0.02 | |||
| 20 | Trey Taylor | Wild (MIN) | D | 32 | 0 | 1 | 1 | -1 | 6 | 0 | 11 | 2 | 1 | 1 | 0.00% | 8 | 12.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.01 | |||
| 21 | Zack Ostapchuk | Wild (MIN) | C | 29 | 0 | 0 | 0 | 0 | 2 | 0 | 14 | 5 | 2 | 1 | 0.00% | 0 | 5.02 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 71.43% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| 22 | Tommy Bergsland | Wild (MIN) | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 23 | Ryan McGregor | Wild (MIN) | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 0.00% | 0 | 3.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | |||
| Team Total or Average | 811 | 66 | 111 | 177 | -127 | 187 | 45 | 728 | 633 | 210 | 384 | 10.43% | 330 | 16.19 | 14 | 27 | 41 | 567 | 0 | 0 | 0 | 503 | 14 | 6 | 44.43% | 1868 | 175 | 225 | 0 | 0 | 0.27 | 3 | 12 |
| 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 | Yaroslav Askarov | Wild (MIN) | 39 | 16 | 18 | 5 | 0.911 | 2.01 | 2355 | 4 | 4 | 79 | 891 | 440 | 1 | 4 | 0.688 | 16 | 39 | 3 | 3 | 4 | 0 |
| 2 | Dylan Ferguson | Wild (MIN) | 8 | 1 | 6 | 0 | 0.907 | 2.77 | 433 | 0 | 0 | 20 | 216 | 125 | 0 | 1 | 0.000 | 0 | 7 | 39 | 0 | 0 | 0 |
| Team Total or Average | 47 | 17 | 24 | 5 | 0.911 | 2.13 | 2789 | 4 | 4 | 99 | 1107 | 565 | 1 | 5 | 0.688 | 16 | 46 | 42 | 3 | 4 | 0 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Limoges | C | 27 | 1,100,000$ | 1,100,000$ | UFA | ||||||
| Anthony Vincent | C/LW/RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Ben Hemmerling | RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Carson Bantle | LW | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Cole Bardreau | C/LW/RW | 31 | 1,550,000$ | 1,550,000$ | 1,550,000$ | UFA | |||||
| Cooper Marody | RW | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Curtis McKenzie | LW | 34 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Dryden McKay | G | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Dylan Ferguson | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Ethan Edwards | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Evan Polei | LW | 29 | 1,550,000$ | 1,550,000$ | 1,550,000$ | UFA | |||||
| Filip Mesar | RW | 21 | 886,667$ | 975,000$ | 975,000$ | RFA | |||||
| Frank Nazar | C | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Hunter Brzustewicz | D | 20 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jack Rathbone | D | 26 | 1,150,000$ | 1,150,000$ | |||||||
| Jakub Demek | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jimmy Snuggerud | RW | 21 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
| Joakim Kemell | RW | 21 | 975,000$ | 975,000$ | RFA | ||||||
| Matthew Savoie | C | 21 | 886,667$ | 975,000$ | 975,000$ | RFA | |||||
| Ondrej Becher | C | 21 | 867,500$ | 975,000$ | 975,000$ | RFA | |||||
| Ryan Mast | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Ryan McGregor | C | 26 | 1,200,000$ | 1,200,000$ | |||||||
| Shakir Mukhamadullin | D | 23 | 950,000$ | 975,000$ | 975,000$ | ||||||
| Tanner Dickinson | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Tommy Bergsland | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Topi Niemelä | D | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Travis Mitchell | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Trey Taylor | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Yaroslav Askarov | G | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Zack Ostapchuk | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 11 | 27 | 32 | 8 | 6 | 151 | 212 | 321 | 36 | 10 | 4 | 11 | 17 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 33.3% | 33.3% | 40.0% | 73.3 | FUN |
| 2 | Moose | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 11 | 27 | 32 | 8 | 44 | 151 | 212 | 321 | 36 | 49 | 18 | 18 | 60 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 25.0% | 6.8% | 85.7% | 92.5 | Unlucky |
| 3 | Bruins | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 7 | -2 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 11 | 27 | 32 | 8 | 51 | 151 | 212 | 321 | 36 | 62 | 29 | 15 | 44 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 41.7% | 9.8% | 88.7% | 98.5 | FUN |
| 4 | Heat | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 11 | 27 | 32 | 8 | 15 | 151 | 212 | 321 | 36 | 30 | 7 | 2 | 15 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 25.0% | 6.7% | 90.0% | 96.7 | Unlucky |
| 5 | Wolves | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 6 | -4 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 11 | 27 | 32 | 8 | 30 | 151 | 212 | 321 | 36 | 53 | 18 | 4 | 38 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 0.0% | 6.7% | 88.7% | 95.3 | Unlucky |
| 6 | IceHogs | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 11 | 27 | 32 | 8 | 52 | 151 | 212 | 321 | 36 | 87 | 34 | 8 | 45 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 45.5% | 11.5% | 90.8% | 102.3 | FUN |
| 7 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 11 | 27 | 32 | 8 | 13 | 151 | 212 | 321 | 36 | 35 | 7 | 0 | 32 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 16.7% | 7.7% | 85.7% | 93.4 | Unlucky |
| 8 | Stars | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 11 | 27 | 32 | 8 | 19 | 151 | 212 | 321 | 36 | 29 | 3 | 13 | 11 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 66.7% | 15.8% | 93.1% | 108.9 | LUCKY |
| 9 | Griffins | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 11 | 27 | 32 | 8 | 31 | 151 | 212 | 321 | 36 | 67 | 27 | 4 | 38 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 33.3% | 12.9% | 94.0% | 106.9 | LUCKY |
| 10 | Condors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 11 | 27 | 32 | 8 | 2 | 151 | 212 | 321 | 36 | 17 | 7 | 4 | 12 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 0.0% | 0.0% | 88.2% | 88.2 | Unlucky |
| 11 | Checkers 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 11 | 27 | 32 | 8 | 15 | 151 | 212 | 321 | 36 | 21 | 6 | 4 | 12 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 100.0% | 13.3% | 100.0% | 113.3 | LUCKY |
| 12 | Reign | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 11 | 27 | 32 | 8 | 82 | 151 | 212 | 321 | 36 | 85 | 22 | 20 | 51 | 7 | 2 | 28.57% | 5 | 1 | 80.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 30.0% | 6.1% | 90.6% | 96.7 | Unlucky |
| 13 | Rocket | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 11 | 27 | 32 | 8 | 8 | 151 | 212 | 321 | 36 | 11 | 11 | 4 | 23 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 0.0% | 0.0% | 90.9% | 90.9 | Unlucky |
| 14 | Admirals | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 11 | 0 | 6 | 0.750 | 11 | 17 | 28 | 0 | 0 | 11 | 27 | 32 | 8 | 64 | 151 | 212 | 321 | 36 | 87 | 30 | 20 | 69 | 3 | 1 | 33.33% | 10 | 2 | 80.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 52.6% | 17.2% | 87.4% | 104.5 | FUN |
| 15 | Comets | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 2 | 0 | 3 | 0.750 | 2 | 3 | 5 | 0 | 1 | 11 | 27 | 32 | 8 | 19 | 151 | 212 | 321 | 36 | 11 | 4 | 2 | 38 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 50.0% | 10.5% | 81.8% | 92.3 | FUN |
| 16 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 11 | 27 | 32 | 8 | 12 | 151 | 212 | 321 | 36 | 14 | 3 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 100.0% | 8.3% | 100.0% | 108.3 | DULL |
| 17 | Wolf Pack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 11 | 27 | 32 | 8 | 33 | 151 | 212 | 321 | 36 | 79 | 23 | 19 | 37 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 44.4% | 15.2% | 92.4% | 107.6 | LUCKY |
| 18 | Belleville Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 11 | 27 | 32 | 8 | 11 | 151 | 212 | 321 | 36 | 36 | 9 | 2 | 14 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 20.0% | 9.1% | 88.9% | 98.0 | FUN |
| 19 | Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 11 | 27 | 32 | 8 | 13 | 151 | 212 | 321 | 36 | 36 | 11 | 4 | 19 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 0.0% | 0.0% | 94.4% | 94.4 | DULL |
| 20 | Roadrunners | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 11 | 27 | 32 | 8 | 11 | 151 | 212 | 321 | 36 | 22 | 8 | 2 | 13 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 50.0% | 27.3% | 90.9% | 118.2 | FUN |
| 21 | Barracuda | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 11 | 27 | 32 | 8 | 13 | 151 | 212 | 321 | 36 | 18 | 3 | 2 | 12 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 66.7% | 15.4% | 94.4% | 109.8 | LUCKY |
| 22 | Thunderbirds | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 11 | 19 | 1 | 0 | 11 | 27 | 32 | 8 | 73 | 151 | 212 | 321 | 36 | 121 | 39 | 22 | 57 | 8 | 2 | 25.00% | 6 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 46.2% | 11.0% | 94.2% | 105.2 | LUCKY |
| 23 | Crunch | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 3 | 6 | 0 | 0 | 11 | 27 | 32 | 8 | 24 | 151 | 212 | 321 | 36 | 58 | 22 | 12 | 30 | 2 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 50.0% | 12.5% | 89.7% | 102.2 | FUN |
| 24 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 11 | 27 | 32 | 8 | 16 | 151 | 212 | 321 | 36 | 21 | 10 | 9 | 11 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 25.0% | 6.3% | 85.7% | 92.0 | Unlucky |
| 25 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 11 | 27 | 32 | 8 | 12 | 151 | 212 | 321 | 36 | 22 | 4 | 2 | 15 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 33.3% | 8.3% | 90.9% | 99.2 | Unlucky |
| 26 | Silver Knights | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 0.667 | 5 | 7 | 12 | 0 | 1 | 11 | 27 | 32 | 8 | 36 | 151 | 212 | 321 | 36 | 31 | 17 | 13 | 38 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 60.0% | 13.9% | 93.5% | 107.4 | LUCKY |
| _Vs Division | 11 | 6 | 9 | 0 | 2 | 0 | 2 | 0 | 16 | 25 | -9 | 20 | 0.909 | 16 | 25 | 41 | 3 | 1 | 11 | 27 | 32 | 8 | 170 | 151 | 212 | 321 | 36 | 212 | 70 | 61 | 156 | 17 | 4 | 23.53% | 18 | 3 | 83.33% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 35.3% | 9.4% | 88.2% | 97.6 | FUN | |
| _Vs Conference | 27 | 7 | 14 | 0 | 4 | 0 | 2 | 0 | 53 | 63 | -10 | 26 | 0.481 | 53 | 81 | 134 | 3 | 1 | 11 | 27 | 32 | 8 | 448 | 151 | 212 | 321 | 36 | 653 | 219 | 139 | 438 | 43 | 13 | 30.23% | 47 | 9 | 80.85% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 42.6% | 11.8% | 90.4% | 102.2 | FUN | |
| _Since Last GM Reset | 46 | 10 | 24 | 0 | 5 | 2 | 2 | 3 | 77 | 107 | -30 | 39 | 0.424 | 77 | 118 | 195 | 5 | 4 | 11 | 27 | 32 | 8 | 705 | 151 | 212 | 321 | 36 | 1112 | 376 | 216 | 764 | 74 | 17 | 22.97% | 78 | 15 | 80.77% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 39.5% | 10.9% | 90.4% | 101.3 | FUN | |
| Total | 46 | 10 | 24 | 0 | 5 | 2 | 2 | 3 | 77 | 107 | -30 | 39 | 0.424 | 77 | 118 | 195 | 5 | 4 | 11 | 27 | 32 | 8 | 705 | 151 | 212 | 321 | 36 | 1112 | 376 | 216 | 764 | 74 | 17 | 22.97% | 78 | 15 | 80.77% | 0 | 272 | 600 | 45.33% | 387 | 832 | 46.51% | 192 | 454 | 42.29% | 766 | 278 | 916 | 497 | 1111 | 565 | 39.5% | 10.9% | 90.4% | 101.3 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 24 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 600 |
| Neutral Zone Start | 454 |
| Defensive Zone Start | 832 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 851 |
| Faceoffs Lost | 1035 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.3 | 9.57 |
| 2nd Period | 7.9 | 20.31 |
| 3rd Period | 14.9 | 30.68 |
| Overtime | 15.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.8 | 1.65 |
| 3rd Period | 1.5 | 2.67 |
| Overtime | 1.7 | 2.83 |
| Even Strenght Goal | 55 |
|---|---|
| PP Goal | 17 |
| PK Goal | 0 |
| Empty Net Goal | 5 |
| Home | Away | |
|---|---|---|
| Win | 5 | 12 |
| Lost | 15 | 9 |
| Overtime Lost | 4 | 1 |
| PP Attempt | 74 |
|---|---|
| PP Goal | 17 |
| PK Attempt | 78 |
| PK Goal Against | 15 |
| Home | |
|---|---|
| Shots For | 15.3 |
| Shots Against | 24.2 |
| Goals For | 1.7 |
| Goals Against | 2.3 |
| Hits | 16.6 |
| Shots Blocked | 8.2 |
| Pim | 4.7 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | MIN | @ | LOS | MIN2,LOS1 | RECAP | |||||||||
| Sat, Oct 11 | BOS | @ | MIN | BOS2,MIN1 (OT) | RECAP | |||||||||
| Mon, Oct 13 | CHI | @ | MIN | CHI3,MIN2 | RECAP | |||||||||
| Thu, Oct 16 | MIN | @ | STL | MIN3,STL2 (SO) | RECAP | |||||||||
| Sat, Oct 18 | MIN | @ | LOS | MIN1,LOS3 | RECAP | |||||||||
| Sun, Oct 19 | TAM | @ | MIN | TAM4,MIN3 (OT) | RECAP | |||||||||
| Wed, Oct 22 | STL | @ | MIN | STL3,MIN1 | RECAP | |||||||||
| Fri, Oct 24 | MIN | @ | CHI | MIN4,CHI3 | RECAP | |||||||||
| Sun, Oct 26 | NAS | @ | MIN | NAS6,MIN2 | RECAP | |||||||||
| Tue, Oct 28 | MIN | @ | CHI | MIN3,CHI1 | RECAP | |||||||||
| Thu, Oct 30 | DET | @ | MIN | DET2,MIN3 (SO) | RECAP | |||||||||
| Fri, Oct 31 | MIN | @ | NAS | MIN4,NAS2 | RECAP | |||||||||
| Sun, Nov 2 | BOS | @ | MIN | BOS5,MIN4 (SO) | RECAP | |||||||||
| Mon, Nov 3 | MIN | @ | WPG | MIN3,WPG4 | RECAP | |||||||||
| Thu, Nov 6 | MIN | @ | PHO | MIN3,PHO2 (OT) | RECAP | |||||||||
| Sat, Nov 8 | WPG | @ | MIN | WPG2,MIN0 | RECAP | |||||||||
| Sun, Nov 9 | MIN | @ | DAL | MIN3,DAL2 (OT) | RECAP | |||||||||
| Tue, Nov 11 | CAL | @ | MIN | CAL3,MIN1 | RECAP | |||||||||
| Fri, Nov 14 | NYR | @ | MIN | NYR5,MIN2 | RECAP | |||||||||
| Sun, Nov 16 | MIN | @ | S J | MIN2,S J1 (OT) | RECAP | |||||||||
| Mon, Nov 17 | MIN | @ | NJD | MIN1,NJD0 (OT) | RECAP | |||||||||
| Wed, Nov 19 | CHI | @ | MIN | CHI2,MIN0 | RECAP | |||||||||
| Fri, Nov 21 | FLO | @ | MIN | FLO0,MIN2 | RECAP | |||||||||
| Mon, Nov 24 | MIN | @ | NYI | MIN1,NYI0 | RECAP | |||||||||
| Wed, Nov 26 | OTT | @ | MIN | OTT4,MIN1 | RECAP | |||||||||
| Fri, Nov 28 | MIN | @ | CHI | MIN0,CHI1 | RECAP | |||||||||
| Sat, Nov 29 | CAR | @ | MIN | CAR4,MIN1 | RECAP | |||||||||
| Mon, Dec 1 | MIN | @ | ANA | MIN2,ANA6 | RECAP | |||||||||
| Wed, Dec 3 | MIN | @ | NAS | MIN2,NAS1 (OT) | RECAP | |||||||||
| Fri, Dec 5 | NJD | @ | MIN | NJD2,MIN1 (SO) | RECAP | |||||||||
| Mon, Dec 8 | NAS | @ | MIN | NAS2,MIN3 | RECAP | |||||||||
| Thu, Dec 11 | MTL | @ | MIN | MTL1,MIN0 | RECAP | |||||||||
| Sat, Dec 13 | MIN | @ | NYR | MIN3,NYR1 | RECAP | |||||||||
| Mon, Dec 15 | MIN | @ | PHI | MIN0,PHI2 | RECAP | |||||||||
| Tue, Dec 16 | DET | @ | MIN | DET2,MIN1 | RECAP | |||||||||
| Fri, Dec 19 | WPG | @ | MIN | WPG1,MIN0 | RECAP | |||||||||
| Sun, Dec 21 | MIN | @ | WAS | MIN1,WAS2 | RECAP | |||||||||
| Wed, Dec 24 | CLB | @ | MIN | CLB3,MIN1 | RECAP | |||||||||
| Sat, Dec 27 | MIN | @ | CLB | MIN0,CLB2 | RECAP | |||||||||
| Mon, Dec 29 | STL | @ | MIN | STL2,MIN4 | RECAP | |||||||||
| Thu, Jan 1 | VAN | @ | MIN | VAN3,MIN1 | RECAP | |||||||||
| Sat, Jan 3 | MIN | @ | LOS | MIN2,LOS4 | RECAP | |||||||||
| Mon, Jan 5 | MIN | @ | CAR | MIN1,CAR2 (SO) | RECAP | |||||||||
| Tue, Jan 6 | MIN | @ | TAM | MIN0,TAM2 | RECAP | |||||||||
| Thu, Jan 8 | CHI | @ | MIN | CHI0,MIN2 | RECAP | |||||||||
| Sat, Jan 10 | EDM | @ | MIN | EDM2,MIN0 | RECAP | |||||||||
| Tue, Jan 13 | MIN | @ | CAL | |||||||||||
| Wed, Jan 14 | COL | @ | MIN | |||||||||||
| Fri, Jan 16 | MIN | @ | DAL | |||||||||||
| Sun, Jan 18 | MIN | @ | MTL | |||||||||||
| Mon, Jan 19 | NYI | @ | MIN | |||||||||||
| Thu, Jan 22 | TAM | @ | MIN | |||||||||||
| Sat, Jan 24 | MIN | @ | EDM | |||||||||||
| Mon, Jan 26 | LOS | @ | MIN | |||||||||||
| Tue, Jan 27 | MIN | @ | CHI | |||||||||||
| Fri, Jan 30 | MIN | @ | SEA | |||||||||||
| Sat, Jan 31 | BUF | @ | MIN | |||||||||||
| Tue, Feb 3 | SEA | @ | MIN | |||||||||||
| Thu, Feb 5 | MIN | @ | FLO | |||||||||||
| Fri, Feb 6 | CHI | @ | MIN | |||||||||||
| Mon, Feb 9 | MIN | @ | BUF | |||||||||||
| Tue, Feb 10 | MIN | @ | PIT | |||||||||||
| Wed, Feb 11 | WAS | @ | MIN | |||||||||||
| Sat, Feb 14 | MIN | @ | VAN | |||||||||||
| Sun, Feb 15 | ANA | @ | MIN | |||||||||||
| Wed, Feb 18 | PHO | @ | MIN | |||||||||||
| Thu, Feb 19 | MIN | @ | OTT | |||||||||||
| Sun, Feb 22 | MIN | @ | TOR | |||||||||||
| Mon, Feb 23 | TOR | @ | MIN | |||||||||||
| Thu, Feb 26 | MIN | @ | COL | |||||||||||
| Fri, Feb 27 | BOS | @ | MIN | |||||||||||
| Tue, Mar 3 | PHI | @ | MIN | |||||||||||
| Thu, Mar 5 | S J | @ | MIN | |||||||||||
| Sat, Mar 7 | MIN | @ | STL | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Tue, Mar 10 | MIN | @ | TOR | |||||||||||
| Wed, Mar 11 | DAL | @ | MIN | |||||||||||
| Sat, Mar 14 | MIN | @ | DET | |||||||||||
| Sun, Mar 15 | MIN | @ | WPG | |||||||||||
| Mon, Mar 16 | MIN | @ | BOS | |||||||||||
| Wed, Mar 18 | DAL | @ | MIN | |||||||||||
| Sun, Mar 22 | PIT | @ | MIN | |||||||||||
| Mon, Mar 23 | MIN | @ | DET | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,162,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Iowa | |
| 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 |
| 17 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,162,500$ | 3,162,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,035,625$ | 0$ | 1,751,561$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 96 | 21,672$ | 1,582,056$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,582,056$ | 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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