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Full Scoreboard »» |
| Manitoba Moose 18-19-8, 44pts · 11th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fyodor Svechkov (R) | 0 | C | 100.00 | 63 | 32 | 90 | 64 | 73 | 77 | 73 | 57 | 73 | 62 | 65 | 58 | 61 | 61 | 60 | 0 | 41 | 72 | 22 | 925,000$/1yrs | |||
Fabian Lysell (R) | 0 | RW | 100.00 | 71 | 39 | 72 | 63 | 68 | 67 | 83 | 60 | 38 | 63 | 60 | 61 | 61 | 58 | 55 | 0 | 33 | 70 | 23 | 863,333$/1yrs | |||
Nils Aman | 0 | C | 98.00 | 70 | 32 | 96 | 58 | 73 | 72 | 69 | 59 | 71 | 65 | 56 | 54 | 58 | 68 | 67 | 0 | 36 | 70 | 25 | 950,000$/1yrs | |||
Matthew Strome | 8 | LW | 100.00 | 68 | 40 | 77 | 56 | 84 | 65 | 83 | 62 | 50 | 57 | 56 | 65 | 57 | 64 | 62 | 0 | 20 | 69 | 27 | 800,000$/2yrs | |||
Marc Johnstone | 0 | RW | 100.00 | 72 | 40 | 71 | 53 | 71 | 65 | 81 | 65 | 49 | 54 | 55 | 68 | 54 | 70 | 67 | 0 | 33 | 69 | 29 | 800,000$/2yrs | |||
Joe Carroll | 0 | LW | 99.00 | 73 | 41 | 69 | 56 | 81 | 65 | 67 | 62 | 43 | 55 | 56 | 65 | 56 | 64 | 61 | 0 | 33 | 69 | 24 | 800,000$/2yrs | |||
Ivan Miroshnichenko | 0 | LW | 100.00 | 75 | 32 | 99 | 60 | 74 | 70 | 69 | 53 | 55 | 61 | 56 | 58 | 55 | 61 | 61 | 0 | 35 | 69 | 21 | 925,000$/3yrs | |||
Brendan Furry | 0 | LW | 100.00 | 64 | 39 | 83 | 55 | 78 | 65 | 87 | 63 | 36 | 54 | 56 | 66 | 55 | 66 | 65 | 0 | 36 | 69 | 27 | 800,000$/2yrs | |||
Jack Becker | 0 | C | 99.00 | 68 | 40 | 78 | 53 | 86 | 64 | 89 | 64 | 73 | 53 | 55 | 68 | 54 | 68 | 66 | 0 | 33 | 69 | 28 | 800,000$/2yrs | |||
Zack MacEwen | 0 | C/RW | 100.00 | 82 | 65 | 70 | 55 | 83 | 67 | 70 | 53 | 59 | 54 | 59 | 57 | 56 | 74 | 71 | 0 | 36 | 68 | 29 | 775,000$/1yrs | |||
Givani Smith | 0 | LW/RW | 100.00 | 80 | 42 | 59 | 53 | 84 | 64 | 70 | 63 | 38 | 54 | 53 | 67 | 53 | 66 | 62 | 0 | 37 | 68 | 27 | 775,000$/1yrs | |||
Justin Pearson | 0 | LW | 100.00 | 64 | 39 | 84 | 54 | 74 | 64 | 87 | 63 | 41 | 56 | 53 | 66 | 55 | 66 | 65 | 0 | 36 | 68 | 27 | 800,000$/2yrs | |||
Matt Kessel | 0 | D | 100.00 | 72 | 41 | 71 | 56 | 82 | 67 | 72 | 54 | 30 | 62 | 56 | 65 | 59 | 63 | 60 | 0 | 20 | 71 | 25 | 900,000$/2yrs | |||
Dylan McIlrath | 52 | D | 100.00 | 82 | 74 | 55 | 55 | 94 | 74 | 69 | 50 | 30 | 58 | 50 | 57 | 50 | 81 | 77 | 0 | 32 | 69 | 33 | 800,000$/2yrs | |||
Lucas Johansen | 25 | D | 100.00 | 67 | 39 | 80 | 51 | 74 | 65 | 79 | 49 | 30 | 57 | 51 | 68 | 54 | 68 | 66 | 0 | 24 | 68 | 28 | 800,000$/1yrs | |||
Ville Heinola | 0 | D | 99.00 | 60 | 32 | 92 | 55 | 70 | 78 | 69 | 50 | 30 | 55 | 50 | 58 | 50 | 66 | 65 | 0 | 36 | 67 | 24 | 900,000$/1yrs | |||
Luke Rowe | 0 | D | 100.00 | 75 | 41 | 66 | 50 | 79 | 64 | 82 | 49 | 30 | 56 | 52 | 67 | 54 | 66 | 63 | 0 | 35 | 67 | 27 | 800,000$/2yrs | |||
Dmitri Osipov | 0 | D | 100.00 | 81 | 43 | 56 | 50 | 93 | 62 | 81 | 65 | 35 | 42 | 43 | 69 | 51 | 70 | 65 | 0 | 19 | 66 | 29 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Vasili Ponomaryov (R) | 0 | C | 100.00 | 71 | 39 | 73 | 62 | 69 | 68 | 78 | 60 | 63 | 63 | 59 | 62 | 61 | 59 | 57 | 0 | 20 | 70 | 23 | 800,000$/2yrs | |||
Jeff Malott | 0 | LW | 100.00 | 85 | 63 | 70 | 55 | 81 | 69 | 72 | 53 | 60 | 53 | 57 | 58 | 55 | 74 | 71 | 0 | 44 | 68 | 29 | 800,000$/2yrs | |||
Lucas Mercuri (R) | 0 | C | 100.00 | 78 | 42 | 62 | 56 | 88 | 63 | 72 | 59 | 66 | 54 | 57 | 62 | 55 | 59 | 55 | 0 | 30 | 68 | 23 | ||||
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$/1yrs | |||
Eduard Sale (R) | 0 | RW | 100.00 | 61 | 38 | 89 | 59 | 69 | 63 | 81 | 56 | 43 | 58 | 55 | 59 | 57 | 54 | 53 | 0 | 32 | 67 | 20 | 886,666$/3yrs | |||
Miko Matikka (R) | 0 | C/LW/RW | 100.00 | 60 | 38 | 90 | 54 | 75 | 61 | 76 | 59 | 61 | 53 | 51 | 62 | 52 | 57 | 56 | 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 | 26 | 800,000$/2yrs | |||
Carter Yakemchuk (R) | 0 | D | 100.00 | 62 | 40 | 87 | 59 | 87 | 66 | 72 | 56 | 30 | 66 | 54 | 60 | 60 | 54 | 53 | 0 | 30 | 71 | 20 | ||||
Andrew Perrott | 0 | D | 100.00 | 99 | 45 | 50 | 47 | 80 | 61 | 73 | 47 | 30 | 53 | 51 | 64 | 52 | 61 | 56 | 0 | 24 | 66 | 24 | 900,000$/1yrs | |||
| 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 | 24 | 70 | 29 | 900,000$/2yrs |
| Scratches | ||||||||||||||||||||
Dylan Ferguson | 1 | 100.00 | 64 | 60 | 64 | 78 | 60 | 73 | 66 | 64 | 73 | 71 | 67 | 67 | 65 | 0 | 20 | 72 | 27 | 900,000$/1yrs |
Jordan Papirny | 0 | 95.00 | 64 | 58 | 65 | 74 | 66 | 72 | 68 | 64 | 72 | 69 | 68 | 74 | 72 | 0 | 42 | 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 | 45 | 21 | 20 | 41 | 6 | 39 | 5 | 73 | 161 | 34 | 111 | 13.04% | 19 | 21.57 | 6 | 4 | 10 | 98 | 1 | 0 | 1 | 94 | 3 | 3 | 55.28% | 123 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | ||
| 2 | Brendan Furry | LW | 45 | 13 | 13 | 26 | -12 | 14 | 0 | 39 | 119 | 29 | 87 | 10.92% | 7 | 18.15 | 3 | 5 | 8 | 98 | 0 | 0 | 0 | 0 | 0 | 2 | 42.41% | 856 | 0 | 0 | 0 | 0 | 0.64 | 0 | 1 | ||
| 3 | Joe Carroll | LW | 45 | 7 | 18 | 25 | -12 | 32 | 0 | 121 | 102 | 38 | 93 | 6.86% | 10 | 20.42 | 3 | 3 | 6 | 95 | 0 | 0 | 0 | 84 | 1 | 1 | 43.79% | 169 | 0 | 0 | 0 | 0 | 0.54 | 0 | 2 | ||
| 4 | Jeff Malott | LW | 35 | 15 | 8 | 23 | 16 | 27 | 5 | 84 | 111 | 37 | 81 | 13.51% | 9 | 20.14 | 2 | 2 | 4 | 106 | 0 | 0 | 0 | 119 | 2 | 0 | 60.32% | 63 | 0 | 0 | 1 | 0 | 0.65 | 0 | 0 | ||
| 5 | Justin Pearson | LW | 45 | 6 | 17 | 23 | -12 | 4 | 0 | 24 | 126 | 40 | 116 | 4.76% | 9 | 18.64 | 0 | 6 | 6 | 116 | 0 | 0 | 0 | 0 | 1 | 0 | 40.68% | 59 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
| 6 | Lucas Johansen | D | 38 | 7 | 15 | 22 | -8 | 24 | 0 | 41 | 32 | 9 | 27 | 21.88% | 59 | 18.83 | 5 | 3 | 8 | 69 | 0 | 0 | 0 | 81 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 7 | Givani Smith | LW/RW | 45 | 7 | 15 | 22 | -10 | 41 | 5 | 137 | 132 | 34 | 67 | 5.30% | 14 | 19.05 | 1 | 7 | 8 | 104 | 0 | 0 | 0 | 136 | 1 | 1 | 52.51% | 459 | 0 | 0 | 0 | 0 | 0.51 | 2 | 5 | ||
| 8 | Nils Aman | C | 45 | 8 | 10 | 18 | 5 | 14 | 0 | 26 | 110 | 31 | 90 | 7.27% | 15 | 19.87 | 0 | 1 | 1 | 61 | 0 | 0 | 0 | 99 | 1 | 0 | 57.89% | 228 | 0 | 0 | 1 | 0 | 0.40 | 1 | 4 | ||
| 9 | Dylan McIlrath | D | 45 | 3 | 14 | 17 | -1 | 92 | 10 | 161 | 35 | 12 | 30 | 8.57% | 61 | 21.74 | 0 | 2 | 2 | 86 | 0 | 1 | 1 | 113 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 10 | Ville Heinola | D | 45 | 5 | 11 | 16 | -4 | 2 | 0 | 8 | 43 | 13 | 41 | 11.63% | 79 | 24.46 | 2 | 0 | 2 | 104 | 0 | 0 | 0 | 170 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 11 | Fabian Lysell | RW | 44 | 5 | 8 | 13 | -2 | 18 | 0 | 54 | 59 | 10 | 56 | 8.47% | 10 | 11.68 | 0 | 0 | 0 | 20 | 0 | 0 | 0 | 30 | 2 | 1 | 47.55% | 347 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
| 12 | Luke Rowe | D | 45 | 3 | 10 | 13 | -3 | 19 | 5 | 18 | 51 | 22 | 35 | 5.88% | 55 | 20.76 | 0 | 7 | 7 | 114 | 0 | 0 | 0 | 137 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
| 13 | Dmitri Osipov | D | 28 | 4 | 6 | 10 | -3 | 16 | 0 | 41 | 14 | 6 | 8 | 28.57% | 24 | 10.83 | 1 | 0 | 1 | 6 | 0 | 0 | 0 | 30 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
| 14 | Matt Kessel | D | 32 | 2 | 7 | 9 | -2 | 39 | 5 | 46 | 21 | 6 | 3 | 9.52% | 24 | 14.27 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 8 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 15 | Eduard Sale | RW | 39 | 3 | 5 | 8 | -6 | 4 | 0 | 7 | 52 | 12 | 54 | 5.77% | 2 | 13.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.64% | 574 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 16 | Andrew Perrott | D | 37 | 1 | 6 | 7 | -5 | 83 | 15 | 140 | 26 | 13 | 18 | 3.85% | 49 | 20.65 | 1 | 0 | 1 | 72 | 0 | 0 | 0 | 103 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
| 17 | Zack MacEwen | C/RW | 45 | 1 | 4 | 5 | 0 | 2 | 0 | 19 | 15 | 3 | 7 | 6.67% | 3 | 3.19 | 1 | 2 | 3 | 23 | 0 | 1 | 1 | 61 | 0 | 0 | 62.86% | 105 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 18 | Fyodor Svechkov | C | 6 | 3 | 1 | 4 | -1 | 0 | 0 | 1 | 17 | 4 | 13 | 17.65% | 2 | 14.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.46% | 112 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | ||
| 19 | Matthew Strome | LW | 18 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 9 | 2 | 2 | 0.00% | 0 | 2.10 | 0 | 2 | 2 | 6 | 0 | 0 | 0 | 21 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 1.06 | 0 | 0 | ||
| 20 | Marc Johnstone | RW | 45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0.16 | 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 | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0.13 | 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 | 801 | 114 | 190 | 304 | -54 | 470 | 50 | 1041 | 1236 | 355 | 940 | 9.22% | 451 | 15.68 | 25 | 44 | 69 | 1186 | 1 | 2 | 3 | 1295 | 17 | 9 | 48.26% | 3098 | 0 | 0 | 2 | 0 | 0.48 | 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 | Jordan Papirny | 20 | 10 | 8 | 2 | 0.917 | 2.97 | 1171 | 0 | 0 | 58 | 696 | 0 | 1 | 1 | 0.625 | 8 | 19 | 26 | 2 | 1 | 0 | |
| 2 | Jeremy Brodeur | 5 | 0 | 4 | 1 | 0.890 | 4.00 | 300 | 0 | 0 | 20 | 181 | 0 | 0 | 0 | 0.000 | 0 | 5 | 15 | 0 | 0 | 0 | |
| Team Total or Average | 25 | 10 | 12 | 3 | 0.911 | 3.18 | 1472 | 0 | 0 | 78 | 877 | 0 | 1 | 1 | 0.625 | 8 | 24 | 41 | 2 | 1 | 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 | |||||
| Carter Yakemchuk | D | 20 | 0$ | RFA | |||||||
| 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 | 23 | 863,333$ | 863,333$ | RFA | ||||||
| Fyodor Svechkov | C | 22 | 925,000$ | 925,000$ | 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 | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Jeff Malott | LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| 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$ | ||||||
| Lucas Johansen | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Lucas Mercuri | C | 23 | 0$ | RFA | |||||||
| 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 | 27 | 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 1 | 0 | 42 | 37 | 32 | 5 | 68 | 411 | 443 | 395 | 42 | 86 | 21 | 16 | 57 | 10 | 3 | 30.00% | 7 | 3 | 57.14% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 55.6% | 11.8% | 91.9% | 103.6 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 42 | 37 | 32 | 5 | 29 | 411 | 443 | 395 | 42 | 35 | 5 | 11 | 20 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 0.0% | 6.9% | 97.1% | 104.0 | DULL | |
| 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 42 | 37 | 32 | 5 | 26 | 411 | 443 | 395 | 42 | 45 | 13 | 8 | 19 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 40.0% | 7.7% | 93.3% | 101.0 | DULL | |
| 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 11 | -4 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 42 | 37 | 32 | 5 | 85 | 411 | 443 | 395 | 42 | 108 | 30 | 24 | 67 | 9 | 1 | 11.11% | 12 | 3 | 75.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 42.9% | 8.2% | 89.8% | 98.1 | Unlucky | |
| 5 | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 9 | 9 | 0 | 6 | 0.750 | 9 | 14 | 23 | 0 | 0 | 42 | 37 | 32 | 5 | 121 | 411 | 443 | 395 | 42 | 129 | 35 | 36 | 93 | 11 | 0 | 0.00% | 17 | 1 | 94.12% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 52.9% | 7.4% | 93.0% | 100.5 | DULL | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 42 | 37 | 32 | 5 | 35 | 411 | 443 | 395 | 42 | 19 | 5 | 4 | 19 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 75.0% | 8.6% | 94.7% | 103.3 | DULL | |
| 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 42 | 37 | 32 | 5 | 32 | 411 | 443 | 395 | 42 | 58 | 18 | 12 | 26 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 50.0% | 12.5% | 91.4% | 103.9 | LUCKY | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 42 | 37 | 32 | 5 | 36 | 411 | 443 | 395 | 42 | 34 | 13 | 4 | 23 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 50.0% | 11.1% | 94.1% | 105.2 | LUCKY | |
| 9 | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 15 | 15 | 0 | 5 | 0.500 | 15 | 27 | 42 | 0 | 0 | 42 | 37 | 32 | 5 | 153 | 411 | 443 | 395 | 42 | 158 | 52 | 46 | 103 | 17 | 5 | 29.41% | 23 | 3 | 86.96% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 45.5% | 9.8% | 90.5% | 100.3 | FUN | |
| 10 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 8 | -1 | 3 | 0.500 | 7 | 13 | 20 | 0 | 0 | 42 | 37 | 32 | 5 | 56 | 411 | 443 | 395 | 42 | 91 | 29 | 32 | 85 | 6 | 2 | 33.33% | 15 | 2 | 86.67% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 45.5% | 12.5% | 91.2% | 103.7 | LUCKY | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 42 | 37 | 32 | 5 | 26 | 411 | 443 | 395 | 42 | 57 | 5 | 25 | 23 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 1 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 44.4% | 15.4% | 87.7% | 103.1 | FUN | |
| 12 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 42 | 37 | 32 | 5 | 30 | 411 | 443 | 395 | 42 | 30 | 10 | 10 | 15 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 40.0% | 10.0% | 86.7% | 96.7 | FUN | |
| 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 42 | 37 | 32 | 5 | 29 | 411 | 443 | 395 | 42 | 25 | 8 | 10 | 17 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 80.0% | 13.8% | 92.0% | 105.8 | LUCKY | |
| 14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 42 | 37 | 32 | 5 | 34 | 411 | 443 | 395 | 42 | 36 | 8 | 6 | 21 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 40.0% | 8.8% | 86.1% | 94.9 | Unlucky | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 42 | 37 | 32 | 5 | 33 | 411 | 443 | 395 | 42 | 35 | 15 | 6 | 20 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 50.0% | 9.1% | 94.3% | 103.4 | LUCKY | |
| 16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 42 | 37 | 32 | 5 | 40 | 411 | 443 | 395 | 42 | 34 | 9 | 12 | 27 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 66.7% | 5.0% | 91.2% | 96.2 | DULL | |
| 17 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 3 | 0.500 | 5 | 9 | 14 | 0 | 0 | 42 | 37 | 32 | 5 | 75 | 411 | 443 | 395 | 42 | 109 | 30 | 40 | 67 | 6 | 1 | 16.67% | 11 | 0 | 100.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 36.4% | 6.7% | 93.6% | 100.2 | DULL | |
| 18 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 42 | 37 | 32 | 5 | 38 | 411 | 443 | 395 | 42 | 25 | 6 | 0 | 25 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 50.0% | 13.2% | 84.0% | 97.2 | FUN | |
| 19 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 42 | 37 | 32 | 5 | 27 | 411 | 443 | 395 | 42 | 28 | 14 | 4 | 25 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 25.0% | 7.4% | 89.3% | 96.7 | Unlucky | |
| 20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 42 | 37 | 32 | 5 | 24 | 411 | 443 | 395 | 42 | 24 | 12 | 6 | 24 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 75.0% | 16.7% | 91.7% | 108.3 | LUCKY | |
| 21 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 42 | 37 | 32 | 5 | 70 | 411 | 443 | 395 | 42 | 106 | 30 | 80 | 83 | 6 | 1 | 16.67% | 18 | 5 | 72.22% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 40.0% | 7.1% | 89.6% | 96.8 | Unlucky | |
| 22 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 0.667 | 5 | 10 | 15 | 0 | 1 | 42 | 37 | 32 | 5 | 73 | 411 | 443 | 395 | 42 | 80 | 43 | 24 | 70 | 6 | 1 | 16.67% | 10 | 1 | 90.00% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 57.1% | 6.8% | 95.0% | 101.8 | DULL | |
| 23 | 5 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 9 | 21 | -12 | 0 | 0.000 | 9 | 15 | 24 | 0 | 0 | 42 | 37 | 32 | 5 | 136 | 411 | 443 | 395 | 42 | 182 | 47 | 51 | 97 | 15 | 1 | 6.67% | 23 | 3 | 86.96% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 30.8% | 6.6% | 88.5% | 95.1 | Unlucky | |
| _Vs Division | 18 | 7 | 11 | 0 | 1 | 2 | 1 | 2 | 47 | 48 | -1 | 22 | 0.611 | 47 | 82 | 129 | 0 | 0 | 42 | 37 | 32 | 5 | 492 | 411 | 443 | 395 | 42 | 572 | 174 | 176 | 410 | 50 | 10 | 20.00% | 77 | 10 | 87.01% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 49.3% | 9.6% | 91.6% | 101.2 | LUCKY | |
| _Vs Conference | 35 | 9 | 17 | 0 | 2 | 4 | 1 | 2 | 82 | 107 | -25 | 30 | 0.429 | 82 | 144 | 226 | 1 | 1 | 42 | 37 | 32 | 5 | 952 | 411 | 443 | 395 | 42 | 1167 | 361 | 375 | 807 | 104 | 19 | 18.27% | 149 | 25 | 83.22% | 0 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 43.4% | 8.6% | 90.8% | 99.4 | Unlucky | |
| _Since Last GM Reset | 45 | 14 | 19 | 0 | 2 | 5 | 2 | 3 | 115 | 137 | -22 | 44 | 0.489 | 115 | 203 | 318 | 1 | 1 | 42 | 37 | 32 | 5 | 1276 | 411 | 443 | 395 | 42 | 1534 | 458 | 467 | 1026 | 134 | 25 | 18.66% | 185 | 31 | 83.24% | 1 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 45.9% | 9.0% | 91.1% | 100.1 | Unlucky | |
| Total | 45 | 14 | 19 | 0 | 2 | 5 | 2 | 3 | 115 | 137 | -22 | 44 | 0.489 | 115 | 203 | 318 | 1 | 1 | 42 | 37 | 32 | 5 | 1276 | 411 | 443 | 395 | 42 | 1534 | 458 | 467 | 1026 | 134 | 25 | 18.66% | 185 | 31 | 83.24% | 1 | 746 | 1480 | 50.41% | 853 | 1640 | 52.01% | 346 | 696 | 49.71% | 1035 | 685 | 1093 | 357 | 611 | 296 | 45.9% | 9.0% | 91.1% | 100.1 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1480 |
| Neutral Zone Start | 696 |
| Defensive Zone Start | 1640 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1945 |
| Faceoffs Lost | 1871 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.1 | 9.57 |
| 2nd Period | 19.0 | 20.31 |
| 3rd Period | 27.8 | 30.68 |
| Overtime | 28.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 88 |
|---|---|
| PP Goal | 25 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 10 | 8 |
| Lost | 10 | 9 |
| Overtime Lost | 4 | 4 |
| PP Attempt | 134 |
|---|---|
| PP Goal | 25 |
| PK Attempt | 185 |
| PK Goal Against | 31 |
| Home | |
|---|---|
| Shots For | 28.4 |
| Shots Against | 34.1 |
| Goals For | 2.6 |
| Goals Against | 3.0 |
| Hits | 22.8 |
| Shots Blocked | 10.2 |
| Pim | 10.4 |
| 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 | |||||||||||
| 2025-12-21 | @ | Barracuda5,Moose2 | RECAP | |||||||||||
| 2025-12-24 | @ | Moose2,Firebirds6 | RECAP | |||||||||||
| 2025-12-27 | @ | Eagles4,Moose1 | RECAP | |||||||||||
| 2025-12-29 | @ | Moose2,IceHogs3 (OT) | RECAP | |||||||||||
| 2025-12-30 | @ | Admirals2,Moose1 | RECAP | |||||||||||
| 2026-01-03 | @ | Eagles3,Moose4 (OT) | RECAP | |||||||||||
| 2026-01-08 | @ | Wolf Pack1,Moose3 | RECAP | |||||||||||
| 2026-01-10 | @ | Moose2,Wranglers4 | RECAP | |||||||||||
| 2026-01-12 | @ | Wild3,Moose5 | RECAP | |||||||||||
| 2026-01-18 | @ | Admirals4,Moose3 (SO) | RECAP | |||||||||||
| 2026-01-20 | @ | Moose6,Wild2 | RECAP | |||||||||||
| 2026-01-22 | @ | Silver Knights2,Moose1 | RECAP | |||||||||||
| 2026-01-26 | @ | Moose4,Rocket5 (SO) | RECAP | |||||||||||
| 2026-01-28 | @ | Moose1,Wolves5 | RECAP | |||||||||||
| 2026-01-29 | @ | Wranglers3,Moose6 | RECAP | |||||||||||
| 2026-02-02 | @ | |||||||||||||
| 2026-02-04 | @ | |||||||||||||
| 2026-02-05 | @ | |||||||||||||
| 2026-02-06 | @ | |||||||||||||
| 2026-02-11 | @ | |||||||||||||
| 2026-02-14 | @ | |||||||||||||
| 2026-02-17 | @ | |||||||||||||
| 2026-02-19 | @ | |||||||||||||
| 2026-02-20 | @ | |||||||||||||
| 2026-02-22 | @ | |||||||||||||
| 2026-02-27 | @ | |||||||||||||
| 2026-03-02 | @ | |||||||||||||
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| 2026-03-04 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | |||||||||||||
| 2026-03-09 | @ | |||||||||||||
| 2026-03-10 | @ | |||||||||||||
| 2026-03-12 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-18 | @ | |||||||||||||
| 2026-03-19 | @ | |||||||||||||
| 2026-03-20 | @ | |||||||||||||
| 2026-03-24 | @ | |||||||||||||
| 2026-03-26 | @ | |||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,177,000$ | 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 |
| 12 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,177,000$ | 2,177,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,724,816$ | 12,094$ | 1,402,590$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 76 | 14,872$ | 951,808$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 951,808$ | 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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