| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 75 | 44 | 23 | 8 | 96 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Daniil Mirnov | 0 | RW | 100.00 | 91 | 44 | 83 | 65 | 64 | 96 | 93 | 70 | 93 | 87 | 47 | 88 | 36 | 98 | 94 | 53 | 50 | 79 | 25 | 1,913,000$/2yrs | |||
Ignac Tochacek (R) | 99 | C | 99.00 | 57 | 57 | 75 | 97 | 57 | 82 | 90 | 52 | 74 | 99 | 54 | 94 | 54 | 68 | 85 | 69 | 50 | 78 | 21 | 900,000$/1yrs | |||
Olaf Brieger | 0 | C | 99.00 | 30 | 44 | 64 | 71 | 64 | 65 | 68 | 95 | 91 | 93 | 75 | 93 | 68 | 92 | 72 | 63 | 50 | 76 | 22 | 800,000$/2yrs | |||
Jeff Biagi | 56 | LW | 100.00 | 78 | 50 | 94 | 98 | 85 | 63 | 91 | 79 | 81 | 46 | 90 | 40 | 78 | 65 | 77 | 29 | 50 | 74 | 29 | 1,513,000$/1yrs | |||
Casee Shone (R) | 0 | LW | 99.00 | 81 | 31 | 51 | 99 | 36 | 66 | 89 | 92 | 73 | 77 | 55 | 85 | 44 | 64 | 64 | 74 | 50 | 74 | 21 | 800,000$/3yrs | |||
Cody Livermore (R) | 0 | C | 98.32 | 54 | 34 | 81 | 68 | 93 | 87 | 61 | 67 | 95 | 92 | 41 | 68 | 66 | 84 | 67 | 69 | 50 | 74 | 20 | 900,000$/3yrs | |||
Johan Tujunen (R) | 0 | LW | 100.00 | 70 | 59 | 53 | 86 | 85 | 90 | 75 | 54 | 55 | 80 | 75 | 68 | 68 | 62 | 65 | 67 | 50 | 74 | 19 | 1,000,000$/3yrs | |||
Fitch Lennie | 45 | RW | 100.00 | 84 | 38 | 73 | 61 | 81 | 72 | 80 | 84 | 91 | 40 | 70 | 95 | 82 | 64 | 74 | 55 | 50 | 73 | 25 | 1,513,000$/2yrs | |||
Marty Millman (R) | 0 | RW | 100.00 | 70 | 61 | 93 | 73 | 74 | 57 | 77 | 97 | 92 | 56 | 52 | 85 | 34 | 85 | 68 | 62 | 50 | 73 | 23 | 1,900,000$/3yrs | |||
Adler OFlannery | 76 | LW | 100.00 | 64 | 60 | 88 | 76 | 72 | 98 | 53 | 62 | 78 | 59 | 56 | 99 | 49 | 90 | 65 | 22 | 50 | 72 | 31 | 1,813,000$/1yrs | |||
Yakov Gaydey (A) | 39 | RW | 100.00 | 35 | 64 | 65 | 71 | 60 | 85 | 49 | 88 | 93 | 51 | 95 | 78 | 51 | 52 | 77 | 1 | 50 | 70 | 35 | 1,513,000$/1yrs | |||
Ignaty Zhilkin | 24 | C | 100.00 | 77 | 60 | 80 | 76 | 32 | 64 | 85 | 71 | 85 | 65 | 45 | 96 | 88 | 47 | 41 | 1 | 50 | 69 | 35 | 1,413,000$/1yrs | |||
Coltyn Bergevin | 45 | D | 100.00 | 45 | 60 | 55 | 81 | 98 | 81 | 94 | 93 | 25 | 80 | 62 | 72 | 94 | 56 | 41 | 57 | 50 | 77 | 24 | 1,813,000$/3yrs | |||
Kazimierz Kijowski | 29 | D | 100.00 | 40 | 50 | 62 | 93 | 94 | 76 | 61 | 62 | 25 | 80 | 89 | 68 | 46 | 91 | 44 | 17 | 50 | 76 | 32 | 1,713,000$/1yrs | |||
Curt Daae | 44 | D | 99.00 | 97 | 69 | 92 | 96 | 50 | 62 | 79 | 99 | 25 | 50 | 66 | 80 | 88 | 63 | 46 | 24 | 50 | 74 | 29 | 1,913,000$/2yrs | |||
Nathaniel Amstrup (R) | 57 | D | 100.00 | 35 | 58 | 52 | 92 | 96 | 81 | 56 | 61 | 25 | 69 | 64 | 99 | 34 | 55 | 58 | 61 | 50 | 74 | 22 | 800,000$/2yrs | |||
Lowell Hinkley (R) | 0 | D | 100.00 | 86 | 56 | 36 | 81 | 96 | 86 | 57 | 92 | 25 | 48 | 45 | 82 | 80 | 72 | 77 | 68 | 50 | 74 | 21 | 800,000$/3yrs | |||
Adrien Flood | 2 | D | 100.00 | 52 | 38 | 89 | 77 | 56 | 67 | 88 | 92 | 25 | 53 | 43 | 93 | 35 | 65 | 77 | 21 | 50 | 69 | 31 | 765,800$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Hugo Sellen | 73 | LW | 100.00 | 50 | 33 | 87 | 58 | 91 | 52 | 79 | 59 | 50 | 90 | 74 | 54 | 72 | 56 | 70 | 56 | 50 | 70 | 25 | 700,000$/1yrs | |||
Haden Skiffington (R) | 0 | C | 100.00 | 61 | 45 | 87 | 94 | 82 | 91 | 79 | 76 | 99 | 32 | 63 | 25 | 57 | 90 | 48 | 58 | 50 | 68 | 23 | 700,000$/1yrs | |||
Otto-Emil Kytolehto | 75 | LW | 100.00 | 93 | 41 | 81 | 72 | 58 | 76 | 48 | 88 | 51 | 41 | 44 | 90 | 47 | 68 | 84 | 45 | 50 | 65 | 27 | 1,313,000$/2yrs | |||
Lars-Bjorn Haraldsson (R) | 0 | C | 100.00 | 80 | 35 | 67 | 92 | 58 | 77 | 54 | 58 | 81 | 45 | 41 | 87 | 57 | 74 | 41 | 59 | 50 | 65 | 23 | 1,013,000$/2yrs | |||
Roy Sehovic (R) | 81 | RW | 100.00 | 62 | 55 | 64 | 89 | 75 | 86 | 54 | 59 | 45 | 58 | 69 | 32 | 34 | 79 | 75 | 66 | 50 | 64 | 22 | 700,000$/1yrs | |||
Jaxson Parker | 42 | D | 100.00 | 47 | 41 | 99 | 97 | 89 | 70 | 53 | 70 | 25 | 83 | 47 | 78 | 49 | 84 | 67 | 37 | 50 | 73 | 30 | 1,113,000$/3yrs | |||
Arsen Komlev | 46 | D | 100.00 | 72 | 36 | 85 | 88 | 46 | 80 | 90 | 59 | 25 | 48 | 76 | 56 | 56 | 35 | 53 | 1 | 50 | 69 | 34 | 700,000$/1yrs | |||
Mack Albertyn | 32 | D | 100.00 | 48 | 55 | 68 | 70 | 71 | 86 | 66 | 66 | 25 | 81 | 39 | 50 | 69 | 34 | 83 | 4 | 50 | 65 | 34 | 700,000$/1yrs | |||
B.D. Stinchcombe (R) | 63 | D | 100.00 | 62 | 31 | 64 | 92 | 77 | 55 | 53 | 62 | 25 | 44 | 47 | 79 | 45 | 39 | 85 | 64 | 50 | 64 | 23 | 1,113,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aldon Bartol | 33 | 100.00 | 98 | 70 | 57 | 78 | 60 | 58 | 94 | 98 | 85 | 55 | 70 | 32 | 82 | 61 | 50 | 75 | 23 | 1,000,000$/1yrs |
Pier Volpatti | 0 | 100.00 | 56 | 87 | 93 | 93 | 58 | 46 | 91 | 68 | 82 | 47 | 93 | 42 | 55 | 74 | 50 | 72 | 21 | 800,000$/3yrs |
| Scratches | ||||||||||||||||||||
Marlon Benton | 0 | 100.00 | 79 | 64 | 99 | 96 | 73 | 42 | 89 | 55 | 64 | 59 | 51 | 30 | 62 | 71 | 50 | 72 | 21 | 800,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Gail Fraley | 47 | 94 | 99 | 82 | 49 | 92 | 69 | USA | 39 | 3 | 750,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Matt Heitto |
|---|
| 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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Casee Shone | Guppies (RAZ) | LW | 75 | 26 | 33 | 59 | 1 | 56 | 10 | 171 | 237 | 68 | 128 | 10.97% | 38 | 18.15 | 3 | 15 | 18 | 0 | 0 | 0 | 35 | 4 | 2 | 50.20% | 0 | 0 | 0.79 | 0 | 0 | 0.77 | |||
| 2 | Ignac Tochacek | Guppies (RAZ) | C | 75 | 13 | 45 | 58 | 3 | 108 | 60 | 115 | 190 | 67 | 98 | 6.84% | 41 | 19.68 | 1 | 12 | 13 | 0 | 1 | 1 | 134 | 3 | 3 | 47.35% | 0 | 0 | 0.77 | 3 | 12 | 0.53 | |||
| 3 | Jeff Biagi | Guppies (RAZ) | LW | 75 | 27 | 23 | 50 | 9 | 5 | 5 | 106 | 282 | 112 | 150 | 9.57% | 10 | 13.38 | 8 | 6 | 14 | 0 | 0 | 0 | 8 | 5 | 1 | 50.00% | 0 | 1 | 0.67 | 0 | 0 | 0.90 | |||
| 4 | Coltyn Bergevin | Guppies (RAZ) | D | 75 | 15 | 33 | 48 | -1 | 146 | 90 | 80 | 174 | 79 | 72 | 8.62% | 95 | 24.42 | 7 | 5 | 12 | 1 | 1 | 2 | 134 | 3 | 3 | 0.00% | 2 | 0 | 0.64 | 1 | 2 | 0.36 | |||
| 5 | Johan Tujunen | Guppies (RAZ) | LW | 75 | 22 | 22 | 44 | -4 | 170 | 90 | 180 | 155 | 43 | 81 | 14.19% | 34 | 17.56 | 5 | 5 | 10 | 0 | 0 | 0 | 0 | 6 | 0 | 44.29% | 0 | 0 | 0.59 | 0 | 3 | 0.25 | |||
| 6 | Olaf Brieger | Guppies (RAZ) | C | 72 | 17 | 22 | 39 | -8 | 47 | 15 | 51 | 202 | 58 | 117 | 8.42% | 36 | 17.70 | 0 | 1 | 1 | 1 | 0 | 1 | 108 | 0 | 0 | 56.66% | 0 | 0 | 0.54 | 1 | 4 | 0.51 | |||
| 7 | Daniil Mirnov | Guppies (RAZ) | RW | 75 | 16 | 22 | 38 | -5 | 14 | 10 | 162 | 142 | 45 | 87 | 11.27% | 24 | 20.29 | 4 | 4 | 8 | 0 | 2 | 2 | 145 | 3 | 1 | 59.64% | 0 | 0 | 0.51 | 2 | 12 | 0.52 | |||
| 8 | Cody Livermore | Guppies (RAZ) | C | 73 | 10 | 21 | 31 | 10 | 7 | 5 | 53 | 70 | 26 | 56 | 14.29% | 21 | 12.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 61.60% | 0 | 0 | 0.42 | 0 | 0 | 0.44 | |||
| 9 | Kazimierz Kijowski | Guppies (RAZ) | D | 63 | 9 | 16 | 25 | -2 | 14 | 0 | 27 | 79 | 33 | 38 | 11.39% | 43 | 15.78 | 4 | 3 | 7 | 0 | 0 | 0 | 17 | 0 | 2 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.36 | |||
| 10 | Curt Daae | Guppies (RAZ) | D | 67 | 5 | 19 | 24 | 4 | 55 | 55 | 119 | 150 | 43 | 60 | 3.33% | 79 | 23.73 | 3 | 6 | 9 | 1 | 0 | 1 | 118 | 1 | 2 | 0.00% | 1 | 0 | 0.36 | 1 | 2 | 0.39 | |||
| 11 | Fitch Lennie | Guppies (RAZ) | RW | 75 | 11 | 10 | 21 | 11 | 14 | 0 | 136 | 72 | 20 | 60 | 15.28% | 16 | 12.30 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 42.31% | 0 | 0 | 0.28 | 0 | 0 | 0.34 | |||
| 12 | Lowell Hinkley | Guppies (RAZ) | D | 74 | 3 | 16 | 19 | 4 | 145 | 55 | 191 | 64 | 34 | 34 | 4.69% | 77 | 20.79 | 1 | 4 | 5 | 0 | 0 | 0 | 110 | 1 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.01 | |||
| 13 | Marty Millman | Guppies (RAZ) | RW | 59 | 8 | 10 | 18 | 11 | 0 | 0 | 47 | 95 | 28 | 45 | 8.42% | 13 | 8.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 44.44% | 0 | 0 | 0.31 | 0 | 0 | 0.44 | |||
| 14 | Ignaty Zhilkin | Guppies (RAZ) | C | 72 | 7 | 10 | 17 | 4 | 22 | 20 | 96 | 61 | 16 | 39 | 11.48% | 10 | 10.48 | 1 | 1 | 2 | 0 | 0 | 0 | 16 | 2 | 0 | 53.61% | 0 | 0 | 0.24 | 1 | 2 | 0.24 | |||
| 15 | Nathaniel Amstrup | Guppies (RAZ) | D | 73 | 1 | 14 | 15 | 0 | 145 | 75 | 45 | 86 | 27 | 30 | 1.16% | 88 | 20.74 | 0 | 0 | 0 | 0 | 1 | 1 | 125 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | -0.07 | |||
| 16 | Adrien Flood | Guppies (RAZ) | D | 68 | 1 | 11 | 12 | 12 | 5 | 5 | 31 | 42 | 15 | 20 | 2.38% | 53 | 15.85 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.24 | |||
| 17 | Mack Albertyn | Guppies (RAZ) | D | 25 | 2 | 9 | 11 | 7 | 43 | 25 | 28 | 27 | 10 | 6 | 7.41% | 32 | 23.11 | 1 | 1 | 2 | 0 | 1 | 1 | 40 | 0 | 1 | 0.00% | 0 | 0 | 0.44 | 0 | 0 | 0.26 | |||
| 18 | Adler OFlannery | Guppies (RAZ) | LW | 75 | 6 | 1 | 7 | 12 | 0 | 0 | 82 | 45 | 16 | 29 | 13.33% | 11 | 10.81 | 0 | 0 | 0 | 0 | 0 | 0 | 142 | 1 | 1 | 21.05% | 0 | 0 | 0.09 | 0 | 0 | 0.20 | |||
| 19 | Jaxson Parker | Guppies (RAZ) | D | 17 | 1 | 4 | 5 | 5 | 0 | 0 | 5 | 7 | 7 | 9 | 14.29% | 9 | 15.01 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 1 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.36 | |||
| 20 | Yakov Gaydey | Guppies (RAZ) | RW | 25 | 2 | 3 | 5 | 0 | 17 | 15 | 10 | 47 | 14 | 35 | 4.26% | 6 | 10.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 40.00% | 0 | 0 | 0.20 | 0 | 0 | 0.21 | |||
| 21 | Arsen Komlev | Guppies (RAZ) | D | 6 | 0 | 2 | 2 | 3 | 0 | 0 | 8 | 7 | 3 | 3 | 0.00% | 6 | 23.88 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.54 | |||
| 22 | Haden Skiffington | Guppies (RAZ) | C | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0.00% | 0 | 12.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.50 | 0 | 0 | 0.38 | |||
| Team Total or Average | 1296 | 202 | 347 | 549 | 76 | 1013 | 535 | 1748 | 2234 | 764 | 1197 | 9.04% | 742 | 16.73 | 40 | 63 | 103 | 1077 | 3 | 6 | 9 | 1234 | 36 | 19 | 53.17% | 3942 | 563 | 519 | 3 | 1 | 0.51 | 9 | 37 |
| 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 | Aldon Bartol | Guppies (RAZ) | 51 | 28 | 17 | 5 | 0.918 | 2.52 | 2997 | 2 | 2 | 126 | 1542 | 921 | 0 | 1 | 0.750 | 20 | 49 | 25 | 10 | 2 | 2 |
| 2 | Pier Volpatti | Guppies (RAZ) | 28 | 16 | 6 | 3 | 0.917 | 2.51 | 1581 | 0 | 1 | 66 | 792 | 519 | 2 | 2 | 0.852 | 27 | 26 | 49 | 4 | 4 | 0 |
| Team Total or Average | 79 | 44 | 23 | 8 | 0.918 | 2.52 | 4579 | 2 | 3 | 192 | 2334 | 1440 | 2 | 3 | 0.809 | 47 | 75 | 74 | 14 | 6 | 2 |
| Player Name | POS | Age | Cap Hit | 5-6 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adler OFlannery ![]() | LW | 31 | 1,813,000$ | 1,813,000$ | |||||||
Adrien Flood ![]() | D | 31 | 765,800$ | 765,800$ | |||||||
Aldon Bartol | G | 23 | 1,000,000$ | 1,000,000$ | |||||||
Arsen Komlev ![]() | D | 34 | 700,000$ | 700,000$ | |||||||
B.D. Stinchcombe | D | 23 | 1,113,000$ | 1,113,000$ | |||||||
Casee Shone | LW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Cody Livermore | C | 20 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Coltyn Bergevin | D | 24 | 1,813,000$ | 1,813,000$ | 1,813,000$ | 1,813,000$ | |||||
Curt Daae ![]() | D | 29 | 1,913,000$ | 1,913,000$ | 1,913,000$ | ||||||
Daniil Mirnov ![]() | RW | 25 | 1,913,000$ | 1,913,000$ | 1,913,000$ | ||||||
Fitch Lennie ![]() | RW | 25 | 1,513,000$ | 1,513,000$ | 1,513,000$ | ||||||
Haden Skiffington | C | 23 | 700,000$ | 700,000$ | |||||||
Hugo Sellen ![]() | LW | 25 | 700,000$ | 700,000$ | |||||||
Ignac Tochacek | C | 21 | 900,000$ | 900,000$ | |||||||
Ignaty Zhilkin ![]() | C | 35 | 1,413,000$ | 1,413,000$ | |||||||
Jaxson Parker ![]() | D | 30 | 1,113,000$ | 1,113,000$ | 1,113,000$ | 1,113,000$ | |||||
Jeff Biagi ![]() | LW | 29 | 1,513,000$ | 1,513,000$ | |||||||
Johan Tujunen | LW | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Kazimierz Kijowski ![]() | D | 32 | 1,713,000$ | 1,713,000$ | |||||||
Lars-Bjorn Haraldsson | C | 23 | 1,013,000$ | 1,013,000$ | 1,013,000$ | ||||||
Lowell Hinkley | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Mack Albertyn ![]() | D | 34 | 700,000$ | 700,000$ | |||||||
Marlon Benton | G | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Marty Millman | RW | 23 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | |||||
Nathaniel Amstrup | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Olaf Brieger | C | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Otto-Emil Kytolehto ![]() | LW | 27 | 1,313,000$ | 1,313,000$ | 1,313,000$ | ||||||
Pier Volpatti | G | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Roy Sehovic | RW | 22 | 700,000$ | 700,000$ | |||||||
Yakov Gaydey ![]() | RW | 35 | 1,513,000$ | 1,513,000$ |
| 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 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 11 | -1 | 5 | 0.625 | 10 | 16 | 26 | 0 | 0 | 48 | 69 | 87 | 19 | 120 | 696 | 764 | 775 | 88 | 160 | 45 | 83 | 87 | 3 | 0 | 0.00% | 14 | 2 | 85.71% | 1 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 52.6% | 8.3% | 93.1% | 101.5 | DULL |
| 2 | Jacks | 6 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 22 | 12 | 10 | 12 | 1.000 | 22 | 33 | 55 | 0 | 1 | 48 | 69 | 87 | 19 | 180 | 696 | 764 | 775 | 88 | 169 | 44 | 67 | 162 | 8 | 4 | 50.00% | 16 | 3 | 81.25% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 66.7% | 12.2% | 92.9% | 105.1 | LUCKY |
| 3 | Rampage | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 48 | 69 | 87 | 19 | 62 | 696 | 764 | 775 | 88 | 68 | 18 | 45 | 46 | 3 | 1 | 33.33% | 10 | 2 | 80.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 20.0% | 4.8% | 85.3% | 90.1 | Unlucky |
| 4 | Kings | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 11 | 14 | -3 | 3 | 0.375 | 11 | 19 | 30 | 0 | 0 | 48 | 69 | 87 | 19 | 117 | 696 | 764 | 775 | 88 | 146 | 41 | 66 | 99 | 7 | 2 | 28.57% | 8 | 4 | 50.00% | 1 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 47.4% | 9.4% | 90.4% | 99.8 | FUN |
| 5 | Wolverines | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 11 | 12 | -1 | 4 | 0.500 | 11 | 20 | 31 | 0 | 0 | 48 | 69 | 87 | 19 | 120 | 696 | 764 | 775 | 88 | 104 | 36 | 40 | 103 | 8 | 3 | 37.50% | 10 | 3 | 70.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 47.1% | 9.2% | 88.5% | 97.6 | FUN |
| 6 | Comets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 48 | 69 | 87 | 19 | 70 | 696 | 764 | 775 | 88 | 60 | 22 | 42 | 46 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 45.5% | 7.1% | 90.0% | 97.1 | Unlucky |
| 7 | Crusaders | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 2 | 5 | 0 | 0 | 48 | 69 | 87 | 19 | 69 | 696 | 764 | 775 | 88 | 60 | 24 | 26 | 54 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 50.0% | 4.3% | 95.0% | 99.3 | DULL |
| 8 | Bulldogs | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 48 | 69 | 87 | 19 | 59 | 696 | 764 | 775 | 88 | 57 | 12 | 2 | 48 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 60.0% | 10.2% | 93.0% | 103.2 | LUCKY |
| 9 | Rock | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 48 | 69 | 87 | 19 | 65 | 696 | 764 | 775 | 88 | 66 | 21 | 45 | 50 | 4 | 2 | 50.00% | 5 | 0 | 100.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 57.1% | 9.2% | 95.5% | 104.7 | LUCKY |
| 10 | Auroras | 7 | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 14 | 15 | 13 | 0.929 | 29 | 53 | 82 | 0 | 1 | 48 | 69 | 87 | 19 | 234 | 696 | 764 | 775 | 88 | 170 | 73 | 118 | 166 | 34 | 8 | 23.53% | 19 | 5 | 73.68% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 70.0% | 12.4% | 91.8% | 104.2 | LUCKY |
| 11 | Jazz | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 7 | 9 | 8 | 1.000 | 16 | 26 | 42 | 0 | 0 | 48 | 69 | 87 | 19 | 127 | 696 | 764 | 775 | 88 | 96 | 32 | 60 | 109 | 14 | 4 | 28.57% | 5 | 1 | 80.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 66.7% | 12.6% | 92.7% | 105.3 | LUCKY |
| 12 | Hornets | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 10 | 11 | -1 | 5 | 0.625 | 10 | 16 | 26 | 0 | 0 | 48 | 69 | 87 | 19 | 102 | 696 | 764 | 775 | 88 | 145 | 49 | 33 | 100 | 3 | 1 | 33.33% | 9 | 4 | 55.56% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 56.3% | 9.8% | 92.4% | 102.2 | LUCKY |
| 13 | Wolfpack | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 0.250 | 6 | 11 | 17 | 0 | 0 | 48 | 69 | 87 | 19 | 103 | 696 | 764 | 775 | 88 | 120 | 29 | 64 | 94 | 8 | 1 | 12.50% | 11 | 2 | 81.82% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 35.7% | 5.8% | 90.8% | 96.7 | Unlucky |
| 14 | Vipers | 4 | 1 | 0 | 0 | 1 | 0 | 2 | 0 | 14 | 9 | 5 | 8 | 1.000 | 14 | 22 | 36 | 0 | 1 | 48 | 69 | 87 | 19 | 117 | 696 | 764 | 775 | 88 | 125 | 49 | 44 | 117 | 6 | 2 | 33.33% | 12 | 0 | 100.00% | 1 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 57.1% | 12.0% | 92.8% | 104.8 | LUCKY |
| 15 | Devils | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 16 | 11 | 5 | 7 | 0.875 | 16 | 25 | 41 | 0 | 0 | 48 | 69 | 87 | 19 | 131 | 696 | 764 | 775 | 88 | 151 | 30 | 49 | 86 | 18 | 7 | 38.89% | 8 | 4 | 50.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 56.3% | 12.2% | 92.7% | 104.9 | LUCKY |
| 16 | Stingers | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 4 | 3 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 48 | 69 | 87 | 19 | 68 | 696 | 764 | 775 | 88 | 61 | 21 | 25 | 50 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 66.7% | 10.3% | 93.4% | 103.7 | LUCKY |
| 17 | Schooners | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 48 | 69 | 87 | 19 | 49 | 696 | 764 | 775 | 88 | 63 | 26 | 9 | 52 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 42.9% | 6.1% | 93.7% | 99.8 | DULL |
| 18 | Hydra | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 48 | 69 | 87 | 19 | 48 | 696 | 764 | 775 | 88 | 66 | 16 | 20 | 50 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 50.0% | 12.5% | 90.9% | 103.4 | FUN |
| 19 | Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 48 | 69 | 87 | 19 | 55 | 696 | 764 | 775 | 88 | 69 | 24 | 39 | 43 | 3 | 1 | 33.33% | 7 | 4 | 42.86% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 42.9% | 7.3% | 88.4% | 95.7 | Unlucky |
| 20 | Spartans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 1 | 0 | 48 | 69 | 87 | 19 | 63 | 696 | 764 | 775 | 88 | 59 | 24 | 19 | 70 | 3 | 2 | 66.67% | 7 | 1 | 85.71% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 42.9% | 7.9% | 91.5% | 99.5 | DULL |
| 21 | Northmen | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 48 | 69 | 87 | 19 | 63 | 696 | 764 | 775 | 88 | 70 | 21 | 23 | 44 | 4 | 1 | 25.00% | 9 | 1 | 88.89% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 44.4% | 7.9% | 91.4% | 99.4 | DULL |
| 22 | Yeti | 6 | 1 | 4 | 0 | 0 | 0 | 0 | 1 | 15 | 21 | -6 | 3 | 0.250 | 15 | 23 | 38 | 2 | 0 | 48 | 69 | 87 | 19 | 185 | 696 | 764 | 775 | 88 | 188 | 67 | 121 | 143 | 12 | 1 | 8.33% | 13 | 1 | 92.31% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 41.2% | 8.1% | 88.8% | 96.9 | Unlucky |
| 23 | Wild Wings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 48 | 69 | 87 | 19 | 71 | 696 | 764 | 775 | 88 | 64 | 20 | 87 | 56 | 3 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 50.0% | 7.0% | 87.5% | 94.5 | Unlucky |
| _Vs Division | 18 | 11 | 4 | 0 | 1 | 1 | 1 | 1 | 63 | 46 | 17 | 28 | 0.778 | 63 | 99 | 162 | 0 | 2 | 48 | 69 | 87 | 19 | 545 | 696 | 764 | 775 | 88 | 591 | 164 | 226 | 464 | 39 | 15 | 38.46% | 44 | 11 | 75.00% | 2 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 57.8% | 11.6% | 92.2% | 103.8 | LUCKY | |
| _Vs Conference | 51 | 22 | 13 | 0 | 6 | 3 | 4 | 3 | 160 | 133 | 27 | 70 | 0.686 | 160 | 264 | 424 | 2 | 3 | 48 | 69 | 87 | 19 | 1536 | 696 | 764 | 775 | 88 | 1574 | 495 | 745 | 1266 | 121 | 33 | 27.27% | 125 | 29 | 76.80% | 3 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 55.0% | 10.4% | 91.6% | 102.0 | LUCKY | |
| _Since Last GM Reset | 75 | 30 | 23 | 0 | 7 | 3 | 7 | 5 | 218 | 200 | 18 | 96 | 0.640 | 218 | 353 | 571 | 3 | 3 | 48 | 69 | 87 | 19 | 2278 | 696 | 764 | 775 | 88 | 2337 | 744 | 1127 | 1875 | 160 | 42 | 26.25% | 191 | 42 | 78.01% | 3 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 52.7% | 9.6% | 91.4% | 101.0 | LUCKY | |
| Total | 75 | 30 | 23 | 0 | 7 | 3 | 7 | 5 | 218 | 200 | 18 | 96 | 0.640 | 218 | 353 | 571 | 3 | 3 | 48 | 69 | 87 | 19 | 2278 | 696 | 764 | 775 | 88 | 2337 | 744 | 1127 | 1875 | 160 | 42 | 26.25% | 191 | 42 | 78.01% | 3 | 822 | 1550 | 53.03% | 720 | 1328 | 54.22% | 587 | 1063 | 55.22% | 1654 | 968 | 1575 | 673 | 1355 | 675 | 52.7% | 9.6% | 91.4% | 101.0 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 18 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1550 |
| Neutral Zone Start | 1063 |
| Defensive Zone Start | 1328 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2129 |
| Faceoffs Lost | 1812 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.3 | 9.57 |
| 2nd Period | 19.5 | 20.31 |
| 3rd Period | 29.8 | 30.68 |
| Overtime | 31.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 170 |
|---|---|
| PP Goal | 42 |
| PK Goal | 3 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 25 | 19 |
| Lost | 10 | 13 |
| Overtime Lost | 3 | 5 |
| PP Attempt | 160 |
|---|---|
| PP Goal | 42 |
| PK Attempt | 191 |
| PK Goal Against | 42 |
| Home | |
|---|---|
| Shots For | 30.4 |
| Shots Against | 31.2 |
| Goals For | 2.9 |
| Goals Against | 2.7 |
| Hits | 25.0 |
| Shots Blocked | 9.9 |
| Pim | 15.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,443,480$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Grand Rapids | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 71084 | 35835 | |||
| Attendance PCT | 93.53% | 94.30% | 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 |
| 2 | 2814 - 93.79% | 83,598$ | 3,176,739$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,443,480$ | 3,443,480$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,898,270$ | 3,443,480$ | 3,898,270$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 167,197$ | 12 | 28,334$ | 368,342$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 368,342$ | 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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Thomas Gillman is out for 1 week because of a Strained Left Elbow Injury.
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