| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 29 | 18 | 8 | 3 | 39 |
GM: Boston Stepaniuk Season 1 GM of the year |
League Rank:4th | Arena: Spokane Arena |
| Conference: Western Conference | Conference Rank:3rd | Capacity:5,000 |
| Division: Southwest | Division Rank:1st | Total Player Salaries:2,527,900$ |
| Captain: Clancy Macrobbie | Last 10: 4-4-0 | |
| Coach: Hugo Hilborn | Home: 6-3-2 | |
| All-Time Record: 219 W - 133 L - 48 OTL | Away: 9-5-1 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kim Norrman | 68 | LW | 100.00 | 32 | 59 | 97 | 60 | 71 | 75 | 51 | 90 | 71 | 81 | 82 | 85 | 90 | 81 | 64 | 43 | 50 | 74 | 29 | 1,350,000$/1yrs | |||
Dennis Wilks | 0 | RW | 100.00 | 78 | 34 | 93 | 53 | 77 | 67 | 84 | 89 | 90 | 73 | 89 | 33 | 75 | 83 | 61 | 54 | 50 | 73 | 24 | 1,250,000$/1yrs | |||
Reynold Borden | 23 | RW | 100.00 | 46 | 41 | 67 | 64 | 57 | 95 | 99 | 83 | 64 | 36 | 90 | 88 | 85 | 52 | 98 | 12 | 50 | 72 | 32 | 1,180,000$/1yrs | |||
Jarret Macpherson | 78 | C | 97.00 | 50 | 49 | 64 | 81 | 64 | 60 | 53 | 69 | 79 | 93 | 63 | 93 | 43 | 51 | 88 | 37 | 50 | 72 | 29 | 1,040,000$/1yrs | |||
Mikhail Yesenchuk | 0 | LW | 100.00 | 27 | 40 | 92 | 80 | 87 | 58 | 85 | 60 | 66 | 55 | 89 | 74 | 48 | 80 | 83 | 59 | 50 | 71 | 25 | 925,000$/4yrs | |||
Henri Lenn | 81 | LW | 100.00 | 59 | 62 | 77 | 64 | 73 | 58 | 87 | 62 | 77 | 44 | 92 | 85 | 61 | 62 | 87 | 1 | 50 | 69 | 37 | 700,000$/1yrs | |||
Yefim Topalov | 38 | RW | 100.00 | 39 | 63 | 93 | 61 | 61 | 79 | 80 | 80 | 76 | 52 | 46 | 98 | 80 | 38 | 36 | 43 | 50 | 69 | 28 | 700,000$/2yrs | |||
Daryl Whatman (R) | 0 | C | 100.00 | 86 | 31 | 56 | 65 | 73 | 76 | 53 | 67 | 62 | 58 | 70 | 95 | 53 | 77 | 37 | 64 | 50 | 69 | 23 | 1,100,000$/5yrs | |||
Hugues Glenn | 58 | C | 100.00 | 37 | 37 | 75 | 93 | 85 | 60 | 66 | 63 | 99 | 51 | 71 | 65 | 81 | 74 | 41 | 4 | 50 | 68 | 35 | 700,000$/1yrs | |||
Jared Palmer (R) | 0 | LW | 100.00 | 37 | 34 | 69 | 87 | 61 | 73 | 57 | 81 | 44 | 79 | 75 | 47 | 90 | 90 | 90 | 64 | 50 | 67 | 23 | 800,000$/1yrs | |||
Petri Jussinen (R) | 0 | LW | 100.00 | 59 | 30 | 63 | 65 | 66 | 68 | 85 | 65 | 58 | 69 | 93 | 39 | 36 | 72 | 60 | 75 | 50 | 67 | 21 | 800,000$/1yrs | |||
Gustav Kiira (R) | 0 | C | 100.00 | 78 | 37 | 83 | 50 | 26 | 69 | 60 | 57 | 99 | 72 | 66 | 83 | 28 | 33 | 78 | 60 | 50 | 65 | 22 | 783,000$/1yrs | |||
Shawn Scremin | 54 | D | 100.00 | 36 | 53 | 78 | 75 | 97 | 60 | 70 | 61 | 25 | 82 | 49 | 93 | 76 | 81 | 72 | 37 | 50 | 73 | 27 | 1,030,000$/2yrs | |||
Sterling Bosse | 0 | D | 100.00 | 60 | 62 | 64 | 71 | 82 | 60 | 53 | 99 | 25 | 67 | 77 | 92 | 90 | 75 | 78 | 43 | 50 | 72 | 25 | 1,300,000$/2yrs | |||
Mario Vazan (R) | 0 | D | 100.00 | 53 | 57 | 63 | 69 | 77 | 72 | 74 | 77 | 54 | 83 | 71 | 61 | 69 | 66 | 52 | 82 | 50 | 72 | 18 | 800,000$/3yrs | |||
Taras Pervago (R) | 0 | D | 100.00 | 59 | 63 | 66 | 72 | 69 | 75 | 79 | 78 | 66 | 73 | 68 | 61 | 52 | 66 | 60 | 74 | 50 | 71 | 20 | 800,000$/3yrs | |||
Ove Granqvist | 0 | D | 100.00 | 33 | 41 | 97 | 72 | 68 | 84 | 78 | 66 | 25 | 50 | 52 | 95 | 77 | 64 | 68 | 24 | 50 | 69 | 31 | 1,150,000$/4yrs | |||
Uuno Ahlroth | 0 | D | 100.00 | 92 | 50 | 74 | 70 | 53 | 88 | 50 | 45 | 25 | 76 | 41 | 79 | 47 | 85 | 98 | 45 | 50 | 68 | 27 | 1,550,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Tristen Duna | 55 | LW | 50.40 | 60 | 38 | 71 | 59 | 94 | 85 | 52 | 84 | 54 | 87 | 53 | 95 | 94 | 92 | 57 | 12 | 50 | 74 | 34 | 1,200,000$/1yrs | |||
Donovan Mccrank (R) | 0 | RW | 100.00 | 44 | 48 | 60 | 60 | 72 | 89 | 56 | 60 | 87 | 63 | 75 | 67 | 74 | 62 | 53 | 75 | 50 | 67 | 22 | 700,000$/1yrs | |||
Tim Nair (R) | 0 | LW | 100.00 | 48 | 39 | 90 | 75 | 40 | 71 | 65 | 74 | 87 | 51 | 41 | 80 | 72 | 56 | 69 | 73 | 50 | 64 | 22 | 700,000$/1yrs | |||
Adler Malley (R) | 0 | D | 100.00 | 60 | 32 | 63 | 68 | 65 | 97 | 55 | 68 | 25 | 71 | 29 | 97 | 53 | 89 | 53 | 58 | 50 | 69 | 23 | 1,270,000$/1yrs | |||
Matteo Toet (R) | 0 | D | 100.00 | 37 | 50 | 77 | 83 | 65 | 57 | 51 | 57 | 25 | 62 | 39 | 77 | 73 | 55 | 34 | 66 | 50 | 61 | 24 | 700,000$/1yrs | |||
Dougie Driedger (R) | 0 | D | 100.00 | 38 | 31 | 90 | 55 | 38 | 70 | 61 | 82 | 25 | 69 | 68 | 76 | 43 | 30 | 38 | 70 | 50 | 60 | 22 | 710,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jesperi Airasvaara | 0 | 99.00 | 65 | 88 | 75 | 73 | 54 | 85 | 68 | 77 | 90 | 49 | 76 | 86 | 54 | 61 | 50 | 72 | 24 | 1,600,000$/3yrs |
Reid Rierdon | 0 | 100.00 | 50 | 86 | 60 | 73 | 69 | 83 | 61 | 87 | 80 | 45 | 70 | 78 | 79 | 66 | 50 | 69 | 21 | 800,000$/3yrs |
| Scratches | ||||||||||||||||||||
Boris Tarasenko | 0 | 100.00 | 55 | 59 | 58 | 70 | 56 | 61 | 71 | 69 | 53 | 55 | 57 | 56 | 59 | 48 | 50 | 61 | 22 | 841,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Hugo Hilborn | 53 | 98 | 35 | 76 | 70 | 96 | 56 | CAN | 40 | 3 | 1,000,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Boston Stepaniuk |
|---|
| 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 | MPG | PPT | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Kim Norrman | Vipers (TWI) | LW | 26 | 12 | 13 | 25 | 5 | 20 | 20 | 2 | 88 | 23 | 53 | 13.64% | 9 | 16.83 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 2 | 0 | 56.41% | 0 | 0 | 0.96 | 0 | 0 | 0.92 | ||
| 2 | Jarret Macpherson | Vipers (TWI) | C | 28 | 2 | 22 | 24 | 2 | 22 | 10 | 39 | 59 | 20 | 48 | 3.39% | 10 | 17.89 | 0.00 | 1 | 2 | 3 | 0 | 0 | 0 | 14 | 0 | 0 | 43.57% | 0 | 0 | 0.86 | 0 | 0 | 0.65 | ||
| 3 | Jared Palmer | Vipers (TWI) | LW | 29 | 12 | 10 | 22 | -2 | 2 | 0 | 19 | 98 | 26 | 69 | 12.24% | 9 | 16.63 | 0.00 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 2 | 1 | 50.00% | 0 | 0 | 0.76 | 0 | 1 | 0.84 | ||
| 4 | Petri Jussinen | Vipers (TWI) | LW | 29 | 10 | 11 | 21 | 6 | 2 | 0 | 49 | 47 | 23 | 23 | 21.28% | 6 | 17.38 | 0.00 | 0 | 5 | 5 | 0 | 0 | 0 | 0 | 3 | 0 | 40.91% | 0 | 0 | 0.72 | 0 | 0 | 0.76 | ||
| 5 | Dennis Wilks | Vipers (TWI) | RW | 28 | 9 | 11 | 20 | 5 | 0 | 0 | 51 | 71 | 28 | 46 | 12.68% | 6 | 16.98 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 2 | 0 | 54.55% | 0 | 0 | 0.71 | 0 | 1 | 0.86 | ||
| 6 | Mario Vazan | Vipers (TWI) | D | 26 | 0 | 19 | 19 | -2 | 71 | 45 | 45 | 34 | 20 | 20 | 0.00% | 24 | 21.41 | 0.00 | 0 | 3 | 3 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.73 | 0 | 0 | 0.16 | ||
| 7 | Daryl Whatman | Vipers (TWI) | C | 29 | 6 | 11 | 17 | 2 | 2 | 0 | 88 | 37 | 7 | 27 | 16.22% | 14 | 16.95 | 0.00 | 0 | 1 | 1 | 0 | 1 | 1 | 15 | 0 | 3 | 42.32% | 0 | 1 | 0.59 | 0 | 0 | 0.58 | ||
| 8 | Shawn Scremin | Vipers (TWI) | D | 29 | 5 | 7 | 12 | 5 | 27 | 15 | 12 | 30 | 16 | 17 | 16.67% | 49 | 22.41 | 0.00 | 4 | 0 | 4 | 0 | 0 | 0 | 15 | 1 | 1 | 0.00% | 0 | 0 | 0.41 | 0 | 0 | 0.35 | ||
| 9 | Taras Pervago | Vipers (TWI) | D | 20 | 2 | 10 | 12 | 7 | 30 | 30 | 45 | 24 | 15 | 10 | 8.33% | 15 | 21.18 | 0.00 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0.60 | 0 | 0 | 0.45 | ||
| 10 | Ove Granqvist | Vipers (TWI) | D | 29 | 0 | 10 | 10 | 0 | 10 | 10 | 4 | 33 | 14 | 5 | 0.00% | 45 | 20.63 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0.34 | 0 | 0 | 0.30 | ||
| 11 | Mikhail Yesenchuk | Vipers (TWI) | LW | 29 | 8 | 2 | 10 | -2 | 0 | 0 | 1 | 68 | 22 | 49 | 11.76% | 5 | 9.49 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 14.29% | 0 | 0 | 0.34 | 0 | 0 | 0.45 | ||
| 12 | Reynold Borden | Vipers (TWI) | RW | 29 | 5 | 2 | 7 | -1 | 2 | 0 | 39 | 42 | 10 | 31 | 11.90% | 9 | 15.41 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 65.00% | 0 | 0 | 0.24 | 0 | 1 | 0.31 | ||
| 13 | Yefim Topalov | Vipers (TWI) | RW | 29 | 3 | 3 | 6 | -4 | 0 | 0 | 8 | 34 | 7 | 19 | 8.82% | 11 | 10.08 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 50.00% | 0 | 0 | 0.21 | 0 | 0 | 0.21 | ||
| 14 | Sterling Bosse | Vipers (TWI) | D | 12 | 0 | 5 | 5 | -8 | 27 | 25 | 16 | 22 | 9 | 11 | 0.00% | 19 | 20.75 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 0 | -0.10 | ||
| 15 | Uuno Ahlroth | Vipers (TWI) | D | 29 | 0 | 5 | 5 | 6 | 18 | 10 | 72 | 16 | 7 | 6 | 0.00% | 26 | 16.35 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.21 | ||
| 16 | Gustav Kiira | Vipers (TWI) | C | 29 | 1 | 4 | 5 | 1 | 5 | 5 | 52 | 23 | 10 | 13 | 4.35% | 6 | 10.13 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 52.48% | 0 | 0 | 0.17 | 0 | 0 | 0.21 | ||
| 17 | Dougie Driedger | Vipers (TWI) | D | 11 | 2 | 2 | 4 | 5 | 0 | 0 | 3 | 13 | 3 | 7 | 15.38% | 14 | 21.28 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.36 | 0 | 0 | 0.56 | ||
| 18 | Adler Malley | Vipers (TWI) | D | 12 | 1 | 2 | 3 | 5 | 9 | 5 | 13 | 6 | 0 | 0 | 16.67% | 6 | 16.52 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.25 | ||
| 19 | Tristen Duna | Vipers (TWI) | LW | 6 | 1 | 1 | 2 | -2 | 15 | 15 | 6 | 15 | 2 | 10 | 6.67% | 2 | 12.33 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 0 | 0 | 0.33 | 0 | 0 | -0.08 | ||
| 20 | Henri Lenn | Vipers (TWI) | LW | 2 | 1 | 0 | 1 | -1 | 0 | 0 | 3 | 4 | 0 | 0 | 25.00% | 2 | 8.98 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.43 | ||
| 21 | Hugues Glenn | Vipers (TWI) | C | 4 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 4 | 1 | 5 | 0.00% | 0 | 9.55 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 63.64% | 0 | 0 | 0.25 | 0 | 0 | 0.16 | ||
| 22 | Matteo Toet | Vipers (TWI) | D | 5 | 0 | 0 | 0 | -3 | 2 | 0 | 0 | 5 | 2 | 2 | 0.00% | 3 | 15.42 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.20 | ||
| 23 | Tim Nair | Vipers (TWI) | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | ||
| Team Total or Average | 471 | 80 | 151 | 231 | 23 | 264 | 190 | 568 | 773 | 265 | 471 | 10.35% | 290 | 16.54 | 11 | 22 | 33 | 400 | 0 | 1 | 1 | 127 | 12 | 7 | 45.13% | 1274 | 171 | 223 | 0 | 1 | 0.59 | 0 | 3 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jesperi Airasvaara | Vipers (TWI) | 15 | 10 | 3 | 2 | 0.913 | 2.99 | 902 | 0 | 0 | 45 | 517 | 272 | 3 | 1 | 0.000 | 0 | 15 | 14 | 2 | 1 | 0 |
| 2 | Reid Rierdon | Vipers (TWI) | 14 | 8 | 5 | 1 | 0.921 | 2.70 | 845 | 0 | 0 | 38 | 484 | 246 | 0 | 0 | 0.500 | 2 | 14 | 15 | 4 | 1 | 2 |
| Team Total or Average | 29 | 18 | 8 | 3 | 0.917 | 2.85 | 1747 | 0 | 0 | 83 | 1001 | 518 | 3 | 1 | 0.500 | 2 | 29 | 29 | 6 | 2 | 2 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adler Malley | D | 23 | 1,270,000$ | 1,270,000$ | |||||||
Boris Tarasenko | G | 22 | 841,000$ | 841,000$ | |||||||
Daryl Whatman | C | 23 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||
Dennis Wilks | RW | 24 | 1,250,000$ | 1,250,000$ | |||||||
Donovan Mccrank | RW | 22 | 700,000$ | 700,000$ | |||||||
Dougie Driedger | D | 22 | 710,000$ | 710,000$ | 710,000$ | ||||||
Gustav Kiira | C | 22 | 783,000$ | 783,000$ | |||||||
Henri Lenn ![]() | LW | 37 | 700,000$ | 700,000$ | |||||||
Hugues Glenn ![]() | C | 35 | 700,000$ | 700,000$ | |||||||
Jared Palmer | LW | 23 | 800,000$ | 800,000$ | |||||||
Jarret Macpherson ![]() | C | 29 | 1,040,000$ | 1,040,000$ | |||||||
Jesperi Airasvaara | G | 24 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | |||||
Kim Norrman ![]() | LW | 29 | 1,350,000$ | 1,350,000$ | |||||||
Mario Vazan | D | 18 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Matteo Toet | D | 24 | 700,000$ | 700,000$ | |||||||
Mikhail Yesenchuk ![]() | LW | 25 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ||||
Ove Granqvist ![]() | D | 31 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | ||||
Petri Jussinen | LW | 21 | 800,000$ | 800,000$ | |||||||
Reid Rierdon | G | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Reynold Borden ![]() | RW | 32 | 1,180,000$ | 1,180,000$ | |||||||
Shawn Scremin ![]() | D | 27 | 1,030,000$ | 1,030,000$ | 1,030,000$ | ||||||
Sterling Bosse ![]() | D | 25 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Taras Pervago | D | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Tim Nair | LW | 22 | 700,000$ | 700,000$ | |||||||
Tristen Duna ![]() | LW | 34 | 1,200,000$ | 1,200,000$ | |||||||
Uuno Ahlroth ![]() | D | 27 | 1,550,000$ | 1,550,000$ | 1,550,000$ | 1,550,000$ | 1,550,000$ | ||||
Yefim Topalov ![]() | RW | 28 | 700,000$ | 700,000$ | 700,000$ |
| 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 | Outlaws | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 6 | 0.750 | 13 | 21 | 34 | 0 | 0 | 28 | 38 | 33 | 3 | 130 | 318 | 316 | 278 | 16 | 149 | 52 | 21 | 100 | 5 | 3 | 60.00% | 3 | 0 | 100.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 58.8% | 10.0% | 95.3% | 105.3 | LUCKY |
| 2 | Jacks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 28 | 38 | 33 | 3 | 32 | 318 | 316 | 278 | 16 | 34 | 15 | 27 | 15 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 77.8% | 21.9% | 94.1% | 116.0 | LUCKY |
| 3 | Kings | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 11 | 19 | 0 | 0 | 28 | 38 | 33 | 3 | 92 | 318 | 316 | 278 | 16 | 108 | 40 | 20 | 68 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 46.7% | 8.7% | 92.6% | 101.3 | DULL |
| 4 | Wolverines | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 28 | 38 | 33 | 3 | 71 | 318 | 316 | 278 | 16 | 74 | 20 | 37 | 46 | 5 | 2 | 40.00% | 1 | 0 | 100.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 50.0% | 11.3% | 91.9% | 103.2 | LUCKY |
| 5 | Crusaders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 28 | 38 | 33 | 3 | 29 | 318 | 316 | 278 | 16 | 37 | 5 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 75.0% | 10.3% | 97.3% | 107.6 | LUCKY |
| 6 | Rock | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 28 | 38 | 33 | 3 | 66 | 318 | 316 | 278 | 16 | 65 | 22 | 68 | 45 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 73.3% | 16.7% | 92.3% | 109.0 | LUCKY |
| 7 | Auroras | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 28 | 38 | 33 | 3 | 62 | 318 | 316 | 278 | 16 | 74 | 20 | 32 | 51 | 6 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 23.1% | 4.8% | 86.5% | 91.3 | Unlucky |
| 8 | Hornets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 28 | 38 | 33 | 3 | 32 | 318 | 316 | 278 | 16 | 25 | 14 | 5 | 19 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 75.0% | 21.9% | 92.0% | 113.9 | LUCKY |
| 9 | Wolfpack | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 15 | 15 | 0 | 5 | 0.625 | 15 | 29 | 44 | 0 | 0 | 28 | 38 | 33 | 3 | 125 | 318 | 316 | 278 | 16 | 131 | 34 | 41 | 83 | 13 | 5 | 38.46% | 3 | 2 | 33.33% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 43.5% | 12.0% | 88.5% | 100.5 | FUN |
| 10 | Devils | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 10 | -5 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 28 | 38 | 33 | 3 | 67 | 318 | 316 | 278 | 16 | 78 | 22 | 29 | 49 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 30.8% | 7.5% | 87.2% | 94.6 | Unlucky |
| 11 | Schooners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 28 | 38 | 33 | 3 | 38 | 318 | 316 | 278 | 16 | 35 | 8 | 15 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 75.0% | 7.9% | 97.1% | 105.0 | DULL |
| 12 | Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 28 | 38 | 33 | 3 | 36 | 318 | 316 | 278 | 16 | 30 | 10 | 7 | 21 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 1 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 16.7% | 5.6% | 83.3% | 88.9 | Unlucky |
| 13 | Northmen | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 28 | 38 | 33 | 3 | 55 | 318 | 316 | 278 | 16 | 63 | 16 | 28 | 53 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 38.5% | 9.1% | 87.3% | 96.4 | FUN |
| 14 | Yeti | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 28 | 38 | 33 | 3 | 60 | 318 | 316 | 278 | 16 | 68 | 19 | 2 | 32 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 70.0% | 11.7% | 95.6% | 107.3 | LUCKY |
| 15 | Swamp Puppies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 28 | 38 | 33 | 3 | 30 | 318 | 316 | 278 | 16 | 31 | 10 | 0 | 24 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 60.0% | 16.7% | 93.5% | 110.2 | LUCKY |
| _Vs Division | 11 | 6 | 3 | 0 | 1 | 0 | 0 | 1 | 40 | 34 | 6 | 15 | 0.682 | 40 | 70 | 110 | 0 | 0 | 28 | 38 | 33 | 3 | 354 | 318 | 316 | 278 | 16 | 392 | 123 | 118 | 247 | 24 | 9 | 37.50% | 9 | 3 | 66.67% | 0 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 50.0% | 11.3% | 91.3% | 102.6 | LUCKY | |
| _Vs Conference | 22 | 10 | 7 | 0 | 3 | 1 | 0 | 1 | 75 | 68 | 7 | 28 | 0.636 | 75 | 127 | 202 | 1 | 0 | 28 | 38 | 33 | 3 | 707 | 318 | 316 | 278 | 16 | 771 | 246 | 221 | 484 | 53 | 14 | 26.42% | 13 | 3 | 76.92% | 1 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 48.4% | 10.6% | 91.2% | 101.8 | LUCKY | |
| _Since Last GM Reset | 29 | 15 | 8 | 0 | 3 | 2 | 0 | 1 | 102 | 85 | 17 | 39 | 0.672 | 102 | 176 | 278 | 1 | 0 | 28 | 38 | 33 | 3 | 925 | 318 | 316 | 278 | 16 | 1002 | 307 | 332 | 651 | 61 | 16 | 26.23% | 21 | 4 | 80.95% | 1 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 51.5% | 11.0% | 91.5% | 102.5 | LUCKY | |
| Total | 29 | 15 | 8 | 0 | 3 | 2 | 0 | 1 | 102 | 85 | 17 | 39 | 0.672 | 102 | 176 | 278 | 1 | 0 | 28 | 38 | 33 | 3 | 925 | 318 | 316 | 278 | 16 | 1002 | 307 | 332 | 651 | 61 | 16 | 26.23% | 21 | 4 | 80.95% | 1 | 283 | 600 | 47.17% | 292 | 626 | 46.65% | 213 | 462 | 46.10% | 615 | 363 | 633 | 247 | 500 | 255 | 51.5% | 11.0% | 91.5% | 102.5 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 600 |
| Neutral Zone Start | 462 |
| Defensive Zone Start | 626 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 788 |
| Faceoffs Lost | 900 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.0 | 9.57 |
| 2nd Period | 21.9 | 20.31 |
| 3rd Period | 31.4 | 30.68 |
| Overtime | 32.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 2.3 | 1.65 |
| 3rd Period | 3.4 | 2.67 |
| Overtime | 3.5 | 2.83 |
| Even Strenght Goal | 84 |
|---|---|
| PP Goal | 16 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 8 | 10 |
| Lost | 3 | 5 |
| Overtime Lost | 2 | 1 |
| PP Attempt | 61 |
|---|---|
| PP Goal | 16 |
| PK Attempt | 21 |
| PK Goal Against | 4 |
| Home | |
|---|---|
| Shots For | 31.9 |
| Shots Against | 34.6 |
| Goals For | 3.5 |
| Goals Against | 2.9 |
| Hits | 22.4 |
| Shots Blocked | 10.6 |
| Pim | 11.4 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,527,900$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Spokane | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 30$ | 15$ | $ | $ | $ |
| Attendance | 35796 | 24323 | |||
| Attendance PCT | 91.78% | 93.55% | 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 |
| 27 | 4625 - 92.49% | 143,872$ | 1,870,342$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,527,900$ | 2,527,900$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,193,303$ | 2,527,900$ | 853,161$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 3,884,556$ | 97 | 23,999$ | 2,327,903$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,327,903$ | 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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Tristen Duna is out for 1 month because of a Sprained Right Knee Injury.
Maksim Rutenka is out for 4 days because of a Strained Left Knee Injury.
Diederik Van Der Loo is out for 1 week because of a Right Leg Injury.
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