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Full Scoreboard »» |
| Manitoba Moose 13-12-5, 31pts · 10th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fabian Lysell (R) | 0 | RW | 100.00 | 69 | 39 | 76 | 60 | 72 | 67 | 70 | 60 | 48 | 62 | 57 | 63 | 60 | 61 | 59 | 0 | 38 | 70 | 22 | 863,333$/1yrs | |||
Linus Karlsson | 0 | C | 98.00 | 69 | 32 | 92 | 56 | 71 | 74 | 69 | 59 | 57 | 59 | 62 | 55 | 60 | 67 | 66 | 0 | 37 | 70 | 26 | 775,000$/1yrs | |||
Nils Aman | 0 | C | 100.00 | 66 | 32 | 94 | 56 | 73 | 73 | 75 | 58 | 73 | 61 | 58 | 64 | 58 | 67 | 66 | 0 | 40 | 70 | 25 | 950,000$/1yrs | |||
Ivan Miroshnichenko | 0 | LW | 100.00 | 79 | 32 | 94 | 61 | 74 | 74 | 71 | 57 | 55 | 62 | 59 | 57 | 58 | 60 | 59 | 0 | 40 | 70 | 21 | 925,000$/3yrs | |||
Kyle MacLean | 0 | LW | 100.00 | 74 | 35 | 92 | 58 | 75 | 72 | 83 | 56 | 77 | 58 | 58 | 58 | 57 | 68 | 67 | 0 | 37 | 69 | 26 | 900,000$/1yrs | |||
Marc Johnstone | 0 | RW | 100.00 | 69 | 39 | 75 | 51 | 71 | 65 | 66 | 67 | 48 | 53 | 53 | 71 | 53 | 73 | 71 | 0 | 37 | 69 | 29 | 800,000$/2yrs | |||
Joe Carroll | 0 | LW | 98.00 | 73 | 41 | 69 | 56 | 81 | 65 | 67 | 62 | 43 | 55 | 56 | 65 | 56 | 64 | 61 | 0 | 37 | 69 | 24 | 800,000$/2yrs | |||
Justin Pearson | 0 | LW | 100.00 | 63 | 39 | 86 | 53 | 75 | 65 | 68 | 65 | 37 | 54 | 54 | 69 | 54 | 70 | 68 | 0 | 40 | 69 | 27 | 800,000$/2yrs | |||
Brendan Furry | 0 | LW | 100.00 | 67 | 40 | 79 | 53 | 80 | 65 | 68 | 65 | 36 | 54 | 54 | 69 | 54 | 70 | 68 | 0 | 40 | 69 | 27 | 800,000$/2yrs | |||
Jack Becker | 0 | C | 96.00 | 68 | 41 | 78 | 52 | 86 | 65 | 68 | 66 | 35 | 52 | 55 | 70 | 53 | 71 | 69 | 0 | 37 | 69 | 28 | 800,000$/2yrs | |||
Zack MacEwen | 0 | C/RW | 100.00 | 80 | 72 | 55 | 55 | 83 | 67 | 73 | 54 | 61 | 54 | 59 | 57 | 56 | 73 | 68 | 0 | 40 | 67 | 29 | 775,000$/1yrs | |||
Givani Smith | 0 | LW/RW | 98.00 | 81 | 64 | 60 | 55 | 84 | 68 | 73 | 53 | 59 | 56 | 53 | 59 | 53 | 70 | 66 | 0 | 41 | 67 | 27 | 775,000$/1yrs | |||
Eduard Sale (R) | 0 | RW | 100.00 | 61 | 38 | 90 | 57 | 69 | 63 | 66 | 58 | 50 | 57 | 54 | 61 | 55 | 57 | 56 | 0 | 40 | 67 | 20 | 886,666$/3yrs | |||
Dylan McIlrath | 52 | D | 99.00 | 83 | 74 | 50 | 55 | 94 | 75 | 68 | 50 | 30 | 61 | 50 | 57 | 50 | 80 | 75 | 0 | 36 | 70 | 33 | 800,000$/2yrs | |||
Lucas Johansen | 25 | D | 100.00 | 66 | 39 | 80 | 52 | 73 | 66 | 65 | 50 | 30 | 58 | 51 | 70 | 55 | 72 | 70 | 0 | 28 | 69 | 28 | 800,000$/1yrs | |||
Ville Heinola | 0 | D | 96.00 | 60 | 32 | 92 | 55 | 70 | 79 | 68 | 50 | 30 | 55 | 50 | 58 | 50 | 65 | 64 | 0 | 40 | 67 | 24 | 900,000$/1yrs | |||
Andrew Perrott | 0 | D | 100.00 | 95 | 44 | 50 | 49 | 80 | 63 | 65 | 48 | 30 | 54 | 52 | 66 | 53 | 64 | 59 | 0 | 33 | 67 | 24 | 900,000$/1yrs | |||
Luke Rowe | 0 | D | 98.00 | 72 | 40 | 72 | 48 | 79 | 64 | 66 | 48 | 30 | 54 | 52 | 69 | 53 | 70 | 67 | 0 | 39 | 67 | 27 | 800,000$/2yrs | |||
Matt Kessel | 0 | D | 100.00 | 70 | 40 | 74 | 49 | 82 | 62 | 84 | 48 | 30 | 55 | 49 | 65 | 52 | 62 | 60 | 0 | 25 | 66 | 25 | 900,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Vasili Ponomaryov (R) | 0 | C | 100.00 | 67 | 39 | 79 | 59 | 70 | 67 | 69 | 61 | 61 | 61 | 57 | 64 | 59 | 63 | 61 | 0 | 20 | 70 | 23 | 800,000$/2yrs | |||
Michal Teply | 0 | RW | 100.00 | 58 | 38 | 93 | 54 | 77 | 63 | 87 | 60 | 41 | 54 | 53 | 64 | 53 | 61 | 60 | 0 | 20 | 67 | 24 | 800,000$/1yrs | |||
Matthew Strome | 8 | LW | 100.00 | 67 | 40 | 79 | 51 | 84 | 61 | 80 | 63 | 37 | 51 | 49 | 66 | 50 | 64 | 62 | 0 | 19 | 66 | 26 | 800,000$/2yrs | |||
Miko Matikka (R) | 0 | C/LW/RW | 100.00 | 56 | 38 | 97 | 52 | 75 | 61 | 65 | 61 | 50 | 52 | 50 | 64 | 51 | 61 | 60 | 0 | 20 | 65 | 22 | 870,000$/2yrs | |||
Kirill Tyutyayev (R) | 0 | LW | 100.00 | 58 | 37 | 95 | 48 | 67 | 59 | 70 | 62 | 35 | 48 | 48 | 65 | 48 | 62 | 62 | 0 | 20 | 64 | 25 | 800,000$/2yrs | |||
Jake Elmer (R) | 37 | RW | 100.00 | 63 | 38 | 86 | 55 | 73 | 56 | 60 | 56 | 65 | 51 | 42 | 60 | 55 | 63 | 61 | 0 | 20 | 63 | 25 | 800,000$/2yrs | |||
Dmitri Osipov | 0 | D | 100.00 | 81 | 43 | 56 | 50 | 93 | 62 | 81 | 65 | 35 | 42 | 43 | 69 | 51 | 70 | 65 | 0 | 26 | 66 | 29 | 800,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jeremy Brodeur | 0 | 100.00 | 66 | 64 | 65 | 71 | 65 | 64 | 66 | 65 | 64 | 66 | 65 | 67 | 75 | 0 | 26 | 70 | 29 | 900,000$/2yrs |
| Scratches | ||||||||||||||||||||
Dylan Ferguson | 1 | 100.00 | 66 | 58 | 65 | 78 | 63 | 73 | 68 | 66 | 73 | 70 | 69 | 70 | 69 | 0 | 25 | 72 | 27 | 900,000$/1yrs |
Jordan Papirny | 0 | 94.00 | 64 | 58 | 65 | 74 | 66 | 72 | 68 | 64 | 72 | 69 | 68 | 74 | 72 | 0 | 44 | 72 | 29 | 800,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Joel Bouchard | 71 | 72 | 73 | 65 | 69 | 69 | 64 | CAN | 51 | 4 | 500,000$ |
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jack Becker | C | 30 | 15 | 9 | 24 | 1 | 29 | 5 | 48 | 117 | 27 | 73 | 12.82% | 8 | 21.42 | 5 | 2 | 7 | 62 | 1 | 0 | 1 | 53 | 2 | 3 | 51.47% | 68 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
| 2 | Givani Smith | LW/RW | 30 | 6 | 11 | 17 | -5 | 25 | 5 | 94 | 81 | 23 | 44 | 7.41% | 11 | 18.67 | 0 | 6 | 6 | 66 | 0 | 0 | 0 | 85 | 1 | 1 | 54.33% | 300 | 0 | 0 | 0 | 0 | 0.61 | 2 | 3 | ||
| 3 | Joe Carroll | LW | 30 | 6 | 10 | 16 | -14 | 16 | 0 | 76 | 63 | 27 | 60 | 9.52% | 7 | 20.23 | 3 | 2 | 5 | 54 | 0 | 0 | 0 | 57 | 1 | 0 | 41.03% | 117 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 4 | Brendan Furry | LW | 30 | 5 | 10 | 15 | -13 | 8 | 0 | 24 | 80 | 19 | 58 | 6.25% | 6 | 18.05 | 2 | 4 | 6 | 65 | 0 | 0 | 0 | 0 | 0 | 1 | 42.76% | 566 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
| 5 | Lucas Johansen | D | 23 | 3 | 11 | 14 | -5 | 20 | 0 | 25 | 19 | 7 | 17 | 15.79% | 44 | 19.68 | 3 | 2 | 5 | 43 | 0 | 0 | 0 | 61 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
| 6 | Linus Karlsson | C | 30 | 6 | 8 | 14 | -1 | 2 | 0 | 8 | 82 | 25 | 51 | 7.32% | 6 | 20.84 | 2 | 2 | 4 | 52 | 0 | 0 | 0 | 88 | 0 | 0 | 50.33% | 151 | 0 | 0 | 0 | 0 | 0.45 | 0 | 3 | ||
| 7 | Justin Pearson | LW | 30 | 4 | 10 | 14 | -13 | 2 | 0 | 17 | 81 | 26 | 89 | 4.94% | 6 | 18.54 | 0 | 5 | 5 | 76 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 32 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
| 8 | Dylan McIlrath | D | 30 | 1 | 12 | 13 | -5 | 62 | 10 | 107 | 16 | 9 | 21 | 6.25% | 41 | 20.91 | 0 | 2 | 2 | 46 | 0 | 1 | 1 | 67 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 9 | Kyle MacLean | LW | 30 | 4 | 5 | 9 | -5 | 10 | 0 | 31 | 45 | 15 | 32 | 8.89% | 2 | 12.88 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 22 | 1 | 1 | 60.55% | 403 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 10 | Nils Aman | C | 30 | 5 | 4 | 9 | 0 | 4 | 0 | 16 | 67 | 23 | 54 | 7.46% | 11 | 18.22 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 41 | 1 | 0 | 57.53% | 146 | 0 | 0 | 1 | 0 | 0.33 | 1 | 3 | ||
| 11 | Eduard Sale | RW | 30 | 3 | 5 | 8 | -3 | 2 | 0 | 4 | 37 | 9 | 41 | 8.11% | 1 | 13.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.34% | 433 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 12 | Luke Rowe | D | 30 | 2 | 6 | 8 | -4 | 17 | 5 | 5 | 26 | 10 | 20 | 7.69% | 41 | 20.65 | 0 | 5 | 5 | 75 | 0 | 0 | 0 | 91 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 13 | Dmitri Osipov | D | 17 | 2 | 5 | 7 | -1 | 10 | 0 | 22 | 7 | 3 | 3 | 28.57% | 11 | 8.59 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 11 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | ||
| 14 | Ville Heinola | D | 30 | 1 | 5 | 6 | -7 | 2 | 0 | 5 | 23 | 9 | 24 | 4.35% | 51 | 24.55 | 0 | 0 | 0 | 65 | 0 | 0 | 0 | 110 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
| 15 | Fabian Lysell | RW | 29 | 3 | 3 | 6 | 4 | 12 | 0 | 29 | 27 | 6 | 28 | 11.11% | 2 | 9.12 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 30 | 2 | 0 | 48.92% | 278 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
| 16 | Andrew Perrott | D | 30 | 1 | 4 | 5 | -7 | 74 | 10 | 111 | 19 | 12 | 15 | 5.26% | 40 | 20.63 | 1 | 0 | 1 | 58 | 0 | 0 | 0 | 75 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
| 17 | Zack MacEwen | C/RW | 30 | 1 | 3 | 4 | 1 | 2 | 0 | 9 | 12 | 1 | 5 | 8.33% | 2 | 3.18 | 1 | 1 | 2 | 18 | 0 | 1 | 1 | 39 | 0 | 0 | 68.57% | 70 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | ||
| 18 | Matt Kessel | D | 17 | 1 | 2 | 3 | -1 | 8 | 0 | 13 | 9 | 4 | 2 | 11.11% | 11 | 14.38 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
| 19 | Matthew Strome | LW | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0.00% | 0 | 2.09 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 20 | Marc Johnstone | RW | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Ivan Miroshnichenko | LW | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 556 | 69 | 123 | 192 | -78 | 305 | 35 | 645 | 813 | 255 | 638 | 8.49% | 301 | 15.61 | 18 | 31 | 49 | 739 | 1 | 2 | 3 | 849 | 11 | 7 | 50.43% | 2564 | 0 | 0 | 1 | 0 | 0.44 | 3 | 9 |
| 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 | Jordan Papirny | 10 | 5 | 5 | 0 | 0.918 | 3.10 | 561 | 0 | 0 | 29 | 352 | 0 | 0 | 0 | 1.000 | 2 | 9 | 21 | 2 | 0 | 0 | |
| Team Total or Average | 10 | 5 | 5 | 0 | 0.918 | 3.10 | 561 | 0 | 0 | 29 | 352 | 0 | 0 | 0 | 1.000 | 2 | 9 | 21 | 2 | 0 | 0 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Andrew Perrott | D | 24 | 900,000$ | 900,000$ | |||||||
| Brendan Furry | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Dmitri Osipov | D | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Dylan Ferguson | G | 27 | 900,000$ | 900,000$ | UFA | ||||||
| Dylan McIlrath | D | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Eduard Sale | RW | 20 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
| Fabian Lysell | RW | 22 | 863,333$ | 863,333$ | RFA | ||||||
| Givani Smith | LW/RW | 27 | 775,000$ | 775,000$ | UFA | ||||||
| Ivan Miroshnichenko | LW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
| Jack Becker | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Jake Elmer | RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Jeremy Brodeur | G | 29 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
| Joe Carroll | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Jordan Papirny | G | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Justin Pearson | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Kirill Tyutyayev | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Kyle MacLean | LW | 26 | 900,000$ | 900,000$ | |||||||
| Linus Karlsson | C | 26 | 775,000$ | 775,000$ | |||||||
| Lucas Johansen | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Luke Rowe | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Marc Johnstone | RW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Matt Kessel | D | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Matthew Strome | LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Michal Teply | RW | 24 | 800,000$ | 800,000$ | |||||||
| Miko Matikka | C/LW/RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Nils Aman | C | 25 | 950,000$ | 950,000$ | |||||||
| Vasili Ponomaryov | C | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Ville Heinola | D | 24 | 900,000$ | 900,000$ | |||||||
| Zack MacEwen | C/RW | 29 | 775,000$ | 775,000$ | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 24 | 23 | 22 | 4 | 29 | 264 | 284 | 250 | 30 | 35 | 5 | 11 | 20 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 0.0% | 6.9% | 97.1% | 104.0 | DULL | |
| 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 24 | 23 | 22 | 4 | 26 | 264 | 284 | 250 | 30 | 45 | 13 | 8 | 19 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 40.0% | 7.7% | 93.3% | 101.0 | DULL | |
| 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 24 | 23 | 22 | 4 | 59 | 264 | 284 | 250 | 30 | 65 | 21 | 16 | 45 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 50.0% | 10.2% | 90.8% | 100.9 | FUN | |
| 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 6 | 10 | 0 | 0 | 24 | 23 | 22 | 4 | 52 | 264 | 284 | 250 | 30 | 63 | 17 | 14 | 41 | 5 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 66.7% | 7.7% | 96.8% | 104.5 | DULL | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 24 | 23 | 22 | 4 | 36 | 264 | 284 | 250 | 30 | 34 | 13 | 4 | 23 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 50.0% | 11.1% | 94.1% | 105.2 | LUCKY | |
| 6 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 4 | 10 | -6 | 1 | 0.167 | 4 | 7 | 11 | 0 | 0 | 24 | 23 | 22 | 4 | 79 | 264 | 284 | 250 | 30 | 107 | 42 | 36 | 58 | 10 | 3 | 30.00% | 18 | 2 | 88.89% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 11.1% | 5.1% | 90.7% | 95.7 | Unlucky | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 24 | 23 | 22 | 4 | 15 | 264 | 284 | 250 | 30 | 33 | 9 | 8 | 32 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 60.0% | 20.0% | 93.9% | 113.9 | LUCKY | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 24 | 23 | 22 | 4 | 26 | 264 | 284 | 250 | 30 | 57 | 5 | 25 | 23 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 1 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 44.4% | 15.4% | 87.7% | 103.1 | FUN | |
| 9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 24 | 23 | 22 | 4 | 30 | 264 | 284 | 250 | 30 | 30 | 10 | 10 | 15 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 40.0% | 10.0% | 86.7% | 96.7 | FUN | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 24 | 23 | 22 | 4 | 29 | 264 | 284 | 250 | 30 | 25 | 8 | 10 | 17 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 80.0% | 13.8% | 92.0% | 105.8 | LUCKY | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 24 | 23 | 22 | 4 | 34 | 264 | 284 | 250 | 30 | 36 | 8 | 6 | 21 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 40.0% | 8.8% | 86.1% | 94.9 | Unlucky | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 24 | 23 | 22 | 4 | 33 | 264 | 284 | 250 | 30 | 35 | 15 | 6 | 20 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 50.0% | 9.1% | 94.3% | 103.4 | LUCKY | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 24 | 23 | 22 | 4 | 40 | 264 | 284 | 250 | 30 | 34 | 9 | 12 | 27 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 66.7% | 5.0% | 91.2% | 96.2 | DULL | |
| 14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 24 | 23 | 22 | 4 | 41 | 264 | 284 | 250 | 30 | 80 | 23 | 32 | 41 | 4 | 1 | 25.00% | 7 | 0 | 100.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 33.3% | 7.3% | 95.0% | 102.3 | DULL | |
| 15 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 24 | 23 | 22 | 4 | 38 | 264 | 284 | 250 | 30 | 25 | 6 | 0 | 25 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 50.0% | 13.2% | 84.0% | 97.2 | FUN | |
| 16 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 24 | 23 | 22 | 4 | 27 | 264 | 284 | 250 | 30 | 28 | 14 | 4 | 25 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 25.0% | 7.4% | 89.3% | 96.7 | Unlucky | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 24 | 23 | 22 | 4 | 24 | 264 | 284 | 250 | 30 | 24 | 12 | 6 | 24 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 75.0% | 16.7% | 91.7% | 108.3 | LUCKY | |
| 18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 24 | 23 | 22 | 4 | 44 | 264 | 284 | 250 | 30 | 73 | 21 | 53 | 59 | 4 | 1 | 25.00% | 11 | 2 | 81.82% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 33.3% | 6.8% | 91.8% | 98.6 | DULL | |
| 19 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 24 | 23 | 22 | 4 | 45 | 264 | 284 | 250 | 30 | 51 | 24 | 18 | 48 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 60.0% | 8.9% | 96.1% | 105.0 | Unlucky | |
| 20 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 24 | 23 | 22 | 4 | 112 | 264 | 284 | 250 | 30 | 128 | 33 | 30 | 76 | 11 | 1 | 9.09% | 15 | 1 | 93.33% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 30.0% | 6.3% | 88.3% | 94.5 | Unlucky | |
| _Vs Division | 11 | 5 | 7 | 0 | 0 | 1 | 1 | 1 | 25 | 27 | -2 | 14 | 0.636 | 25 | 42 | 67 | 0 | 0 | 24 | 23 | 22 | 4 | 274 | 264 | 284 | 250 | 30 | 368 | 119 | 112 | 234 | 30 | 6 | 20.00% | 46 | 6 | 86.96% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 47.5% | 9.1% | 92.7% | 101.8 | LUCKY | |
| _Vs Conference | 22 | 6 | 10 | 0 | 1 | 3 | 1 | 1 | 46 | 61 | -15 | 20 | 0.455 | 46 | 79 | 125 | 0 | 1 | 24 | 23 | 22 | 4 | 562 | 264 | 284 | 250 | 30 | 718 | 234 | 233 | 485 | 64 | 12 | 18.75% | 89 | 10 | 88.76% | 0 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 40.0% | 8.2% | 91.5% | 99.7 | DULL | |
| _Since Last GM Reset | 30 | 10 | 12 | 0 | 1 | 4 | 2 | 1 | 72 | 85 | -13 | 31 | 0.517 | 72 | 126 | 198 | 0 | 1 | 24 | 23 | 22 | 4 | 819 | 264 | 284 | 250 | 30 | 1008 | 308 | 309 | 659 | 87 | 18 | 20.69% | 117 | 15 | 87.18% | 1 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 43.5% | 8.8% | 91.6% | 100.4 | DULL | |
| Total | 30 | 10 | 12 | 0 | 1 | 4 | 2 | 1 | 72 | 85 | -13 | 31 | 0.517 | 72 | 126 | 198 | 0 | 1 | 24 | 23 | 22 | 4 | 819 | 264 | 284 | 250 | 30 | 1008 | 308 | 309 | 659 | 87 | 18 | 20.69% | 117 | 15 | 87.18% | 1 | 467 | 953 | 49.00% | 588 | 1114 | 52.78% | 238 | 458 | 51.97% | 682 | 450 | 738 | 239 | 407 | 197 | 43.5% | 8.8% | 91.6% | 100.4 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 953 |
| Neutral Zone Start | 458 |
| Defensive Zone Start | 1114 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1293 |
| Faceoffs Lost | 1232 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.8 | 9.57 |
| 2nd Period | 18.3 | 20.31 |
| 3rd Period | 26.6 | 30.68 |
| Overtime | 27.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 2.3 | 2.67 |
| Overtime | 2.4 | 2.83 |
| Even Strenght Goal | 53 |
|---|---|
| PP Goal | 18 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 6 | 7 |
| Lost | 6 | 6 |
| Overtime Lost | 3 | 2 |
| PP Attempt | 87 |
|---|---|
| PP Goal | 18 |
| PK Attempt | 117 |
| PK Goal Against | 15 |
| Home | |
|---|---|
| Shots For | 27.3 |
| Shots Against | 33.6 |
| Goals For | 2.4 |
| Goals Against | 2.8 |
| Hits | 22.0 |
| Shots Blocked | 10.3 |
| Pim | 10.3 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Wild4,Moose1 | RECAP | |||||||||||
| 2025-10-13 | @ | Eagles1,Moose2 | RECAP | |||||||||||
| 2025-10-15 | @ | Moose2,Firebirds3 | RECAP | |||||||||||
| 2025-10-18 | @ | Wolves2,Moose3 | RECAP | |||||||||||
| 2025-10-20 | @ | Moose2,Eagles1 (SO) | RECAP | |||||||||||
| 2025-10-22 | @ | Barracuda2,Moose0 | RECAP | |||||||||||
| 2025-10-24 | @ | Moose1,Wild2 (OT) | RECAP | |||||||||||
| 2025-10-25 | @ | Stars2,Moose4 | RECAP | |||||||||||
| 2025-10-26 | @ | Moose2,IceHogs1 | RECAP | |||||||||||
| 2025-10-30 | @ | Wild4,Moose2 | RECAP | |||||||||||
| 2025-10-31 | @ | Moose3,Silver Knights2 (OT) | RECAP | |||||||||||
| 2025-11-01 | @ | Moose3,Admirals2 | RECAP | |||||||||||
| 2025-11-05 | @ | Firebirds5,Moose1 | RECAP | |||||||||||
| 2025-11-07 | @ | Moose3,Barracuda4 | RECAP | |||||||||||
| 2025-11-10 | @ | Moose2,Firebirds3 | RECAP | |||||||||||
| 2025-11-12 | @ | Gulls3,Moose2 (OT) | RECAP | |||||||||||
| 2025-11-14 | @ | Moose3,Bruins2 | RECAP | |||||||||||
| 2025-11-16 | @ | Thunderbirds2,Moose4 | RECAP | |||||||||||
| 2025-11-19 | @ | Moose5,Checkers4 (SO) | RECAP | |||||||||||
| 2025-11-21 | @ | Condors4,Moose3 (OT) | RECAP | |||||||||||
| 2025-11-23 | @ | Moose1,Silver Knights0 | RECAP | |||||||||||
| 2025-11-27 | @ | Wolves4,Moose3 (SO) | RECAP | |||||||||||
| 2025-11-30 | @ | Moose2,Senators3 (OT) | RECAP | |||||||||||
| 2025-12-01 | @ | Firebirds4,Moose2 | RECAP | |||||||||||
| 2025-12-04 | @ | Moose2,Americans3 | RECAP | |||||||||||
| 2025-12-06 | @ | Bears2,Moose4 | RECAP | |||||||||||
| 2025-12-09 | @ | Moose3,Roadrunners5 | RECAP | |||||||||||
| 2025-12-13 | @ | Phantoms1,Moose2 | RECAP | |||||||||||
| 2025-12-16 | @ | Moose1,IceHogs3 | RECAP | |||||||||||
| 2025-12-17 | @ | Crunch7,Moose4 | RECAP | |||||||||||
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| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,092,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Manitoba | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| 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 |
| 21 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,092,000$ | 2,092,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,068,519$ | 11,622$ | 871,301$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 121 | 14,400$ | 1,569,600$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,569,600$ | 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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Jordan Papirny is out for 1 days because of a Exhaustion.
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