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Full Scoreboard »» |
![]() | Iowa Wild 20-28-9, 49pts · 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 | |||
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$/2yrs | |||
Jakub Demek | 0 | C | 100.00 | 63 | 41 | 71 | 60 | 67 | 62 | 59 | 59 | 42 | 57 | 54 | 54 | 58 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
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 | ||||||||||||||||||||||||||
Joakim Kemell | 0 | RW | 93.72 | 60 | 42 | 69 | 66 | 64 | 61 | 58 | 63 | 44 | 61 | 59 | 54 | 63 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/1yrs | |||
Filip Mesar (R) | 0 | RW | 100.00 | 58 | 41 | 67 | 62 | 58 | 61 | 59 | 58 | 41 | 58 | 54 | 56 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 886,667$/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 | 57 | 18 | 25 | 43 | -12 | 8 | 0 | 88 | 124 | 38 | 68 | 14.52% | 21 | 22.01 | 6 | 9 | 15 | 0 | 0 | 0 | 25 | 1 | 0 | 43.94% | 0 | 0 | 0.75 | 0 | 1 | 0.62 | |||
| 2 | Jimmy Snuggerud | Wild (MIN) | RW | 57 | 11 | 20 | 31 | -20 | 28 | 10 | 77 | 112 | 37 | 90 | 9.82% | 25 | 22.42 | 2 | 6 | 8 | 1 | 0 | 1 | 56 | 1 | 0 | 43.46% | 1 | 0 | 0.54 | 1 | 6 | 0.37 | |||
| 3 | Curtis McKenzie | Wild (MIN) | LW | 57 | 12 | 18 | 30 | -14 | 50 | 20 | 89 | 101 | 35 | 65 | 11.88% | 32 | 23.01 | 1 | 6 | 7 | 0 | 1 | 1 | 79 | 2 | 2 | 46.25% | 0 | 0 | 0.53 | 0 | 1 | 0.33 | |||
| 4 | Joakim Kemell | Wild (MIN) | RW | 56 | 4 | 13 | 17 | -12 | 8 | 0 | 70 | 60 | 14 | 37 | 6.67% | 16 | 17.63 | 1 | 3 | 4 | 0 | 0 | 0 | 5 | 1 | 1 | 38.71% | 0 | 0 | 0.30 | 0 | 4 | 0.23 | |||
| 5 | Cole Bardreau | Wild (MIN) | C/LW/RW | 57 | 6 | 9 | 15 | -24 | 18 | 0 | 89 | 42 | 19 | 24 | 14.29% | 17 | 20.46 | 2 | 5 | 7 | 0 | 0 | 0 | 60 | 1 | 1 | 32.14% | 0 | 0 | 0.26 | 1 | 1 | 0.07 | |||
| 6 | Frank Nazar | Wild (MIN) | C | 40 | 6 | 5 | 11 | -1 | 0 | 0 | 34 | 29 | 12 | 18 | 20.69% | 7 | 15.66 | 2 | 2 | 4 | 0 | 0 | 0 | 46 | 5 | 0 | 53.59% | 0 | 0 | 0.28 | 0 | 0 | 0.26 | |||
| 7 | Anthony Vincent | Wild (MIN) | C/LW/RW | 55 | 9 | 2 | 11 | -3 | 6 | 0 | 67 | 34 | 9 | 14 | 26.47% | 13 | 15.39 | 1 | 0 | 1 | 0 | 0 | 0 | 27 | 3 | 0 | 32.22% | 0 | 0 | 0.20 | 0 | 0 | 0.18 | |||
| 8 | Hunter Brzustewicz | Wild (MIN) | D | 57 | 3 | 6 | 9 | -21 | 38 | 10 | 55 | 36 | 18 | 17 | 8.33% | 59 | 23.84 | 2 | 0 | 2 | 0 | 0 | 0 | 79 | 0 | 1 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | -0.03 | |||
| 9 | Jack Rathbone | Wild (MIN) | D | 57 | 1 | 8 | 9 | -16 | 33 | 25 | 49 | 60 | 19 | 25 | 1.67% | 52 | 23.38 | 1 | 0 | 1 | 0 | 0 | 0 | 84 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.03 | |||
| 10 | Shakir Mukhamadullin | Wild (MIN) | D | 56 | 0 | 9 | 9 | 9 | 12 | 0 | 36 | 25 | 10 | 12 | 0.00% | 22 | 9.53 | 0 | 2 | 2 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.18 | |||
| 11 | Topi Niemelä | Wild (MIN) | D | 57 | 2 | 5 | 7 | -2 | 4 | 0 | 20 | 21 | 6 | 12 | 9.52% | 20 | 16.66 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 1 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | 0.10 | |||
| 12 | Ryan Mast | Wild (MIN) | D | 57 | 0 | 5 | 5 | -6 | 6 | 0 | 54 | 14 | 7 | 3 | 0.00% | 37 | 18.15 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | 0.05 | |||
| 13 | Jakub Demek | Wild (MIN) | C | 26 | 3 | 1 | 4 | -2 | 4 | 0 | 21 | 9 | 3 | 3 | 33.33% | 7 | 11.89 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 43.59% | 0 | 0 | 0.15 | 0 | 0 | 0.09 | |||
| 14 | Matthew Savoie | Wild (MIN) | C | 57 | 3 | 1 | 4 | -14 | 2 | 0 | 56 | 41 | 18 | 22 | 7.32% | 16 | 14.83 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 0 | 45.38% | 1 | 0 | 0.07 | 1 | 4 | 0.04 | |||
| 15 | Cooper Marody | Wild (MIN) | RW | 34 | 1 | 2 | 3 | 1 | 0 | 0 | 23 | 21 | 7 | 16 | 4.76% | 5 | 14.14 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 60.00% | 0 | 0 | 0.09 | 0 | 0 | 0.13 | |||
| 16 | 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 | |||
| 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 | 43 | 0 | 1 | 1 | -6 | 29 | 5 | 17 | 7 | 1 | 3 | 0.00% | 31 | 19.60 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | -0.11 | |||
| 19 | Ethan Edwards | Wild (MIN) | D | 55 | 0 | 1 | 1 | 2 | 2 | 0 | 2 | 0 | 1 | 1 | 0.00% | 0 | 3.67 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | 0.01 | |||
| 20 | Trey Taylor | Wild (MIN) | D | 43 | 0 | 1 | 1 | 3 | 8 | 0 | 14 | 2 | 1 | 1 | 0.00% | 8 | 12.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | 0.01 | |||
| 21 | Zack Ostapchuk | Wild (MIN) | C | 40 | 0 | 0 | 0 | 1 | 2 | 0 | 20 | 7 | 2 | 1 | 0.00% | 0 | 5.25 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 67.86% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
| 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 | 1009 | 81 | 135 | 216 | -139 | 264 | 70 | 906 | 765 | 263 | 449 | 10.59% | 393 | 16.29 | 18 | 33 | 51 | 717 | 1 | 1 | 2 | 656 | 17 | 7 | 44.86% | 2265 | 210 | 257 | 2 | 0 | 0.26 | 3 | 17 |
| 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) | 50 | 19 | 22 | 9 | 0.909 | 1.96 | 3027 | 4 | 6 | 99 | 1085 | 538 | 1 | 5 | 0.600 | 20 | 50 | 3 | 5 | 4 | 1 |
| 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 | 50 | 0 | 0 | 0 |
| Team Total or Average | 58 | 20 | 28 | 9 | 0.909 | 2.06 | 3461 | 4 | 6 | 119 | 1301 | 663 | 1 | 6 | 0.600 | 20 | 57 | 53 | 5 | 4 | 1 |
| 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$ | |||||||
| 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$ | ||||||
| Ryan McGregor | C | 26 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| 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 | 32 | 42 | 8 | 6 | 164 | 263 | 385 | 45 | 10 | 4 | 11 | 17 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 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 | 32 | 42 | 8 | 44 | 164 | 263 | 385 | 45 | 49 | 18 | 18 | 60 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 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 | 32 | 42 | 8 | 51 | 164 | 263 | 385 | 45 | 62 | 29 | 15 | 44 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 41.7% | 9.8% | 88.7% | 98.5 | FUN |
| 4 | Americans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 11 | 32 | 42 | 8 | 5 | 164 | 263 | 385 | 45 | 11 | 3 | 12 | 18 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 0.0% | 0.0% | 81.8% | 81.8 | Unlucky |
| 5 | Heat | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 4 | 7 | 1 | 0 | 11 | 32 | 42 | 8 | 30 | 164 | 263 | 385 | 45 | 41 | 12 | 7 | 31 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 25.0% | 10.0% | 85.4% | 95.4 | FUN |
| 6 | Wolves | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 6 | -4 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 11 | 32 | 42 | 8 | 30 | 164 | 263 | 385 | 45 | 53 | 18 | 4 | 38 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 0.0% | 6.7% | 88.7% | 95.3 | Unlucky |
| 7 | IceHogs | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 2 | 0.250 | 8 | 15 | 23 | 0 | 0 | 11 | 32 | 42 | 8 | 73 | 164 | 263 | 385 | 45 | 128 | 42 | 33 | 56 | 4 | 1 | 25.00% | 9 | 5 | 44.44% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 43.8% | 11.0% | 89.1% | 100.0 | FUN |
| 8 | Eagles | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 11 | 32 | 42 | 8 | 7 | 164 | 263 | 385 | 45 | 8 | 3 | 7 | 23 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 50.0% | 14.3% | 75.0% | 89.3 | FUN |
| 9 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 11 | 32 | 42 | 8 | 13 | 164 | 263 | 385 | 45 | 35 | 7 | 0 | 32 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 16.7% | 7.7% | 85.7% | 93.4 | Unlucky |
| 10 | Stars | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 11 | 32 | 42 | 8 | 30 | 164 | 263 | 385 | 45 | 43 | 8 | 15 | 27 | 3 | 2 | 66.67% | 5 | 1 | 80.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 40.0% | 13.3% | 90.7% | 104.0 | FUN |
| 11 | Griffins | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 11 | 32 | 42 | 8 | 31 | 164 | 263 | 385 | 45 | 67 | 27 | 4 | 38 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 33.3% | 12.9% | 94.0% | 106.9 | LUCKY |
| 12 | Condors | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 11 | 32 | 42 | 8 | 12 | 164 | 263 | 385 | 45 | 35 | 13 | 8 | 25 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 0.0% | 8.3% | 85.7% | 94.0 | Unlucky |
| 13 | Checkers 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 11 | 32 | 42 | 8 | 15 | 164 | 263 | 385 | 45 | 21 | 6 | 4 | 12 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 100.0% | 13.3% | 100.0% | 113.3 | LUCKY |
| 14 | Reign | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 5 | 9 | -4 | 3 | 0.375 | 5 | 9 | 14 | 0 | 0 | 11 | 32 | 42 | 8 | 93 | 164 | 263 | 385 | 45 | 105 | 27 | 24 | 68 | 7 | 2 | 28.57% | 7 | 1 | 85.71% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 27.3% | 5.4% | 91.4% | 96.8 | DULL |
| 15 | Rocket | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 11 | 32 | 42 | 8 | 19 | 164 | 263 | 385 | 45 | 20 | 14 | 4 | 36 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky |
| 16 | Admirals | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 11 | 0 | 6 | 0.750 | 11 | 17 | 28 | 0 | 0 | 11 | 32 | 42 | 8 | 64 | 164 | 263 | 385 | 45 | 87 | 30 | 20 | 69 | 3 | 1 | 33.33% | 10 | 2 | 80.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 52.6% | 17.2% | 87.4% | 104.5 | FUN |
| 17 | Comets | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 2 | 0 | 3 | 0.750 | 2 | 3 | 5 | 0 | 1 | 11 | 32 | 42 | 8 | 19 | 164 | 263 | 385 | 45 | 11 | 4 | 2 | 38 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 50.0% | 10.5% | 81.8% | 92.3 | FUN |
| 18 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 11 | 32 | 42 | 8 | 33 | 164 | 263 | 385 | 45 | 42 | 14 | 10 | 34 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 83.3% | 15.2% | 95.2% | 110.4 | LUCKY |
| 19 | Wolf Pack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 11 | 32 | 42 | 8 | 33 | 164 | 263 | 385 | 45 | 79 | 23 | 19 | 37 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 44.4% | 15.2% | 92.4% | 107.6 | LUCKY |
| 20 | Belleville Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 11 | 32 | 42 | 8 | 11 | 164 | 263 | 385 | 45 | 36 | 9 | 2 | 14 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 20.0% | 9.1% | 88.9% | 98.0 | FUN |
| 21 | Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 11 | 32 | 42 | 8 | 13 | 164 | 263 | 385 | 45 | 36 | 11 | 4 | 19 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 0.0% | 0.0% | 94.4% | 94.4 | DULL |
| 22 | Roadrunners | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 11 | 32 | 42 | 8 | 11 | 164 | 263 | 385 | 45 | 22 | 8 | 2 | 13 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 50.0% | 27.3% | 90.9% | 118.2 | FUN |
| 23 | Barracuda | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 11 | 32 | 42 | 8 | 13 | 164 | 263 | 385 | 45 | 18 | 3 | 2 | 12 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 66.7% | 15.4% | 94.4% | 109.8 | LUCKY |
| 24 | Thunderbirds | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 11 | 19 | 1 | 0 | 11 | 32 | 42 | 8 | 73 | 164 | 263 | 385 | 45 | 121 | 39 | 22 | 57 | 8 | 2 | 25.00% | 6 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 46.2% | 11.0% | 94.2% | 105.2 | LUCKY |
| 25 | Crunch | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 3 | 0.500 | 5 | 5 | 10 | 0 | 1 | 11 | 32 | 42 | 8 | 29 | 164 | 263 | 385 | 45 | 71 | 29 | 16 | 43 | 4 | 1 | 25.00% | 8 | 3 | 62.50% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 57.1% | 17.2% | 91.5% | 108.8 | LUCKY |
| 26 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 11 | 32 | 42 | 8 | 16 | 164 | 263 | 385 | 45 | 21 | 10 | 9 | 11 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 25.0% | 6.3% | 85.7% | 92.0 | Unlucky |
| 27 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 11 | 32 | 42 | 8 | 12 | 164 | 263 | 385 | 45 | 22 | 4 | 2 | 15 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 33.3% | 8.3% | 90.9% | 99.2 | Unlucky |
| 28 | Silver Knights | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 0.667 | 5 | 7 | 12 | 0 | 1 | 11 | 32 | 42 | 8 | 36 | 164 | 263 | 385 | 45 | 31 | 17 | 13 | 38 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 60.0% | 13.9% | 93.5% | 107.4 | LUCKY |
| 29 | Checkers 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 11 | 32 | 42 | 8 | 15 | 164 | 263 | 385 | 45 | 22 | 7 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 66.7% | 13.3% | 95.5% | 108.8 | LUCKY |
| _Vs Division | 15 | 6 | 10 | 0 | 2 | 1 | 2 | 0 | 21 | 33 | -12 | 21 | 0.700 | 21 | 33 | 54 | 3 | 1 | 11 | 32 | 42 | 8 | 221 | 164 | 263 | 385 | 45 | 283 | 93 | 78 | 219 | 23 | 6 | 26.09% | 24 | 4 | 83.33% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 34.1% | 9.5% | 88.3% | 97.8 | FUN | |
| _Vs Conference | 34 | 8 | 16 | 0 | 4 | 2 | 2 | 2 | 62 | 81 | -19 | 32 | 0.471 | 62 | 96 | 158 | 3 | 1 | 11 | 32 | 42 | 8 | 538 | 164 | 263 | 385 | 45 | 787 | 258 | 190 | 551 | 53 | 16 | 30.19% | 60 | 14 | 76.67% | 0 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 40.7% | 11.5% | 89.7% | 101.2 | FUN | |
| _Since Last GM Reset | 57 | 13 | 28 | 0 | 5 | 4 | 2 | 5 | 92 | 130 | -38 | 49 | 0.430 | 92 | 142 | 234 | 6 | 5 | 11 | 32 | 42 | 8 | 837 | 164 | 263 | 385 | 45 | 1307 | 439 | 293 | 942 | 91 | 21 | 23.08% | 104 | 22 | 78.85% | 1 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 39.7% | 11.0% | 90.1% | 101.0 | FUN | |
| Total | 57 | 13 | 28 | 0 | 5 | 4 | 2 | 5 | 92 | 130 | -38 | 49 | 0.430 | 92 | 142 | 234 | 6 | 5 | 11 | 32 | 42 | 8 | 837 | 164 | 263 | 385 | 45 | 1307 | 439 | 293 | 942 | 91 | 21 | 23.08% | 104 | 22 | 78.85% | 1 | 331 | 726 | 45.59% | 467 | 993 | 47.03% | 239 | 555 | 43.06% | 947 | 336 | 1122 | 622 | 1397 | 710 | 39.7% | 11.0% | 90.1% | 101.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 24 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 726 |
| Neutral Zone Start | 555 |
| Defensive Zone Start | 993 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1037 |
| Faceoffs Lost | 1237 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 2.9 | 9.57 |
| 2nd Period | 7.5 | 20.31 |
| 3rd Period | 14.2 | 30.68 |
| Overtime | 15.0 | 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 | 1.6 | 2.83 |
| Even Strenght Goal | 64 |
|---|---|
| PP Goal | 21 |
| PK Goal | 1 |
| Empty Net Goal | 6 |
| Home | Away | |
|---|---|---|
| Win | 7 | 13 |
| Lost | 16 | 12 |
| Overtime Lost | 6 | 3 |
| PP Attempt | 91 |
|---|---|
| PP Goal | 21 |
| PK Attempt | 104 |
| PK Goal Against | 22 |
| Home | |
|---|---|
| Shots For | 14.7 |
| Shots Against | 22.9 |
| Goals For | 1.6 |
| Goals Against | 2.3 |
| Hits | 16.5 |
| Shots Blocked | 7.7 |
| Pim | 5.1 |
| 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 | MIN2,CAL3 (SO) | RECAP | |||||||||
| Wed, Jan 14 | COL | @ | MIN | COL2,MIN1 (OT) | RECAP | |||||||||
| Fri, Jan 16 | MIN | @ | DAL | MIN1,DAL2 (OT) | RECAP | |||||||||
| Sun, Jan 18 | MIN | @ | MTL | MIN0,MTL1 | RECAP | |||||||||
| Mon, Jan 19 | NYI | @ | MIN | NYI2,MIN4 | RECAP | |||||||||
| Thu, Jan 22 | TAM | @ | MIN | TAM0,MIN2 | RECAP | |||||||||
| Sat, Jan 24 | MIN | @ | EDM | MIN1,EDM3 | RECAP | |||||||||
| Mon, Jan 26 | LOS | @ | MIN | LOS1,MIN0 (SO) | RECAP | |||||||||
| Tue, Jan 27 | MIN | @ | CHI | MIN2,CHI6 | RECAP | |||||||||
| Fri, Jan 30 | MIN | @ | SEA | MIN2,SEA1 | RECAP | |||||||||
| Sat, Jan 31 | BUF | @ | MIN | BUF2,MIN0 | RECAP | |||||||||
| 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 |
| 12 | 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 |
|---|---|---|---|
| 2,512,409$ | 0$ | 2,163,247$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 74 | 21,672$ | 1,105,272$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,105,272$ | 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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