| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 51 | 33 | 12 | 6 | 72 |
| 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 | |||
Juho-Heikki Pitkanen (R) | 0 | RW | 99.00 | 91 | 69 | 71 | 82 | 82 | 81 | 69 | 57 | 87 | 79 | 80 | 72 | 72 | 78 | 84 | 76 | 50 | 77 | 18 | 1,000,000$/3yrs | |||
Olaf Brieger | 0 | C | 99.00 | 30 | 44 | 64 | 71 | 64 | 65 | 68 | 95 | 91 | 93 | 75 | 93 | 68 | 92 | 72 | 63 | 50 | 76 | 22 | 800,000$/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$/1yrs | |||
Casee Shone (R) | 0 | C | 99.00 | 81 | 31 | 51 | 99 | 36 | 66 | 89 | 92 | 73 | 77 | 55 | 85 | 44 | 64 | 64 | 74 | 50 | 74 | 21 | 800,000$/3yrs | |||
Cody Livermore (R) | 0 | C | 100.00 | 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$/1yrs | |||
Ignaty Zhilkin | 24 | C | 100.00 | 77 | 60 | 80 | 76 | 32 | 64 | 85 | 71 | 85 | 65 | 45 | 96 | 88 | 47 | 41 | 1 | 50 | 69 | 35 | 1,413,000$/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 | 100.00 | 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$/3yrs | |||
Jaxson Parker | 42 | D | 100.00 | 47 | 41 | 99 | 97 | 89 | 70 | 53 | 70 | 25 | 83 | 47 | 78 | 49 | 84 | 67 | 37 | 50 | 73 | 30 | 1,113,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Yuvenaly Panchishny | 74 | LW | 100.00 | 85 | 54 | 64 | 77 | 71 | 62 | 90 | 88 | 93 | 50 | 76 | 80 | 42 | 77 | 46 | 14 | 50 | 74 | 32 | 700,000$/1yrs | |||
Hugo Sellen | 73 | LW | 100.00 | 50 | 33 | 87 | 58 | 91 | 52 | 79 | 59 | 50 | 90 | 74 | 54 | 72 | 56 | 70 | 56 | 50 | 70 | 25 | 700,000$/1yrs | |||
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$/1yrs | |||
Haden Skiffington (R) | 0 | C | 100.00 | 61 | 45 | 87 | 94 | 82 | 91 | 79 | 76 | 99 | 32 | 63 | 25 | 57 | 90 | 48 | 58 | 50 | 68 | 23 | 700,000$/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$/1yrs | |||
Adrien Flood | 2 | D | 100.00 | 52 | 38 | 89 | 77 | 56 | 67 | 88 | 92 | 25 | 53 | 43 | 93 | 35 | 65 | 77 | 21 | 50 | 69 | 31 | 765,800$/1yrs | |||
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$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aldon Bartol | 33 | 98.00 | 98 | 70 | 57 | 78 | 60 | 58 | 94 | 98 | 85 | 55 | 70 | 32 | 82 | 61 | 50 | 75 | 23 | 1,000,000$/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 | Ignac Tochacek | Guppies (RAZ) | C | 51 | 10 | 33 | 43 | 4 | 64 | 40 | 79 | 130 | 42 | 63 | 7.69% | 33 | 19.83 | 1 | 7 | 8 | 0 | 1 | 1 | 94 | 2 | 3 | 48.74% | 0 | 0 | 0.84 | 2 | 10 | 0.64 | |||
| 2 | Casee Shone | Guppies (RAZ) | C | 51 | 20 | 23 | 43 | 6 | 32 | 0 | 118 | 158 | 52 | 82 | 12.66% | 32 | 18.06 | 2 | 10 | 12 | 0 | 0 | 0 | 26 | 4 | 2 | 48.44% | 0 | 0 | 0.84 | 0 | 0 | 0.88 | |||
| 3 | Coltyn Bergevin | Guppies (RAZ) | D | 51 | 13 | 25 | 38 | 2 | 89 | 45 | 54 | 119 | 52 | 49 | 10.92% | 67 | 24.68 | 6 | 5 | 11 | 1 | 1 | 2 | 95 | 2 | 3 | 0.00% | 2 | 0 | 0.75 | 1 | 2 | 0.49 | |||
| 4 | Johan Tujunen | Guppies (RAZ) | LW | 51 | 15 | 15 | 30 | -2 | 106 | 60 | 111 | 111 | 27 | 55 | 13.51% | 26 | 17.63 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 6 | 0 | 47.92% | 0 | 0 | 0.59 | 0 | 3 | 0.29 | |||
| 5 | Jeff Biagi | Guppies (RAZ) | LW | 51 | 12 | 15 | 27 | 9 | 5 | 5 | 64 | 182 | 72 | 102 | 6.59% | 8 | 13.26 | 4 | 3 | 7 | 0 | 0 | 0 | 5 | 3 | 0 | 53.85% | 0 | 0 | 0.53 | 0 | 0 | 0.79 | |||
| 6 | Daniil Mirnov | Guppies (RAZ) | RW | 51 | 11 | 15 | 26 | -3 | 5 | 5 | 116 | 93 | 34 | 57 | 11.83% | 16 | 20.52 | 2 | 4 | 6 | 0 | 2 | 2 | 105 | 2 | 1 | 60.21% | 0 | 0 | 0.51 | 2 | 10 | 0.53 | |||
| 7 | Olaf Brieger | Guppies (RAZ) | C | 48 | 10 | 15 | 25 | -1 | 29 | 5 | 32 | 121 | 44 | 78 | 8.26% | 22 | 17.61 | 0 | 0 | 0 | 1 | 0 | 1 | 74 | 0 | 0 | 57.71% | 0 | 0 | 0.52 | 1 | 4 | 0.51 | |||
| 8 | Cody Livermore | Guppies (RAZ) | C | 51 | 7 | 13 | 20 | 11 | 2 | 0 | 40 | 48 | 20 | 39 | 14.58% | 12 | 12.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 61.43% | 0 | 0 | 0.39 | 0 | 0 | 0.45 | |||
| 9 | Kazimierz Kijowski | Guppies (RAZ) | D | 39 | 7 | 12 | 19 | 2 | 10 | 0 | 13 | 51 | 19 | 24 | 13.73% | 25 | 15.51 | 2 | 2 | 4 | 0 | 0 | 0 | 12 | 0 | 2 | 0.00% | 0 | 0 | 0.49 | 0 | 0 | 0.45 | |||
| 10 | Curt Daae | Guppies (RAZ) | D | 43 | 4 | 12 | 16 | 8 | 30 | 30 | 78 | 102 | 29 | 37 | 3.92% | 52 | 24.17 | 3 | 5 | 8 | 1 | 0 | 1 | 79 | 1 | 2 | 0.00% | 1 | 0 | 0.37 | 1 | 2 | 0.47 | |||
| 11 | Lowell Hinkley | Guppies (RAZ) | D | 50 | 1 | 14 | 15 | 0 | 91 | 25 | 125 | 47 | 25 | 24 | 2.13% | 54 | 20.71 | 1 | 3 | 4 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.05 | |||
| 12 | Juho-Heikki Pitkanen | Guppies (RAZ) | RW | 49 | 7 | 8 | 15 | 2 | 106 | 90 | 99 | 38 | 12 | 43 | 18.42% | 18 | 17.35 | 3 | 3 | 6 | 0 | 0 | 0 | 7 | 1 | 0 | 42.11% | 0 | 0 | 0.31 | 3 | 7 | -0.02 | |||
| 13 | Fitch Lennie | Guppies (RAZ) | RW | 51 | 9 | 5 | 14 | 11 | 10 | 0 | 94 | 50 | 11 | 42 | 18.00% | 10 | 12.32 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 0 | 0 | 0.27 | 0 | 0 | 0.37 | |||
| 14 | Ignaty Zhilkin | Guppies (RAZ) | C | 48 | 5 | 7 | 12 | 2 | 17 | 15 | 65 | 47 | 14 | 27 | 10.64% | 6 | 10.32 | 1 | 1 | 2 | 0 | 0 | 0 | 11 | 2 | 0 | 55.36% | 0 | 0 | 0.25 | 1 | 2 | 0.25 | |||
| 15 | Marty Millman | Guppies (RAZ) | RW | 35 | 6 | 6 | 12 | 8 | 0 | 0 | 27 | 60 | 18 | 31 | 10.00% | 5 | 8.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.86% | 0 | 0 | 0.34 | 0 | 0 | 0.50 | |||
| 16 | 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 | |||
| 17 | Nathaniel Amstrup | Guppies (RAZ) | D | 49 | 1 | 10 | 11 | 4 | 80 | 40 | 31 | 64 | 18 | 21 | 1.56% | 58 | 20.93 | 0 | 0 | 0 | 0 | 1 | 1 | 90 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.04 | |||
| 18 | Adrien Flood | Guppies (RAZ) | D | 47 | 0 | 7 | 7 | 9 | 0 | 0 | 18 | 25 | 12 | 14 | 0.00% | 34 | 15.66 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0.15 | 0 | 0 | 0.23 | |||
| 19 | Adler OFlannery | Guppies (RAZ) | LW | 51 | 4 | 0 | 4 | 9 | 0 | 0 | 60 | 32 | 11 | 21 | 12.50% | 8 | 10.93 | 0 | 0 | 0 | 0 | 0 | 0 | 101 | 0 | 1 | 16.67% | 0 | 0 | 0.08 | 0 | 0 | 0.20 | |||
| 20 | Jaxson Parker | Guppies (RAZ) | D | 14 | 1 | 3 | 4 | 6 | 0 | 0 | 3 | 6 | 6 | 7 | 16.67% | 4 | 14.73 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.39 | |||
| 21 | Yakov Gaydey | Guppies (RAZ) | RW | 18 | 1 | 2 | 3 | 0 | 2 | 0 | 5 | 37 | 9 | 24 | 2.70% | 5 | 7.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.17 | 0 | 0 | 0.30 | |||
| 22 | 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 | |||
| 23 | Yuvenaly Panchishny | Guppies (RAZ) | LW | 6 | 2 | 0 | 2 | 1 | 0 | 0 | 8 | 11 | 2 | 2 | 18.18% | 1 | 8.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.33 | 0 | 0 | 0.49 | |||
| Team Total or Average | 936 | 148 | 251 | 399 | 98 | 721 | 385 | 1276 | 1566 | 542 | 851 | 9.45% | 534 | 16.80 | 31 | 49 | 80 | 746 | 3 | 6 | 9 | 892 | 27 | 18 | 53.90% | 2729 | 404 | 382 | 3 | 0 | 0.51 | 11 | 40 |
| 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) | 36 | 24 | 9 | 3 | 0.927 | 2.26 | 2129 | 2 | 2 | 80 | 1095 | 666 | 0 | 0 | 0.824 | 17 | 36 | 14 | 9 | 1 | 2 |
| 2 | Pier Volpatti | Guppies (RAZ) | 17 | 9 | 3 | 3 | 0.922 | 2.35 | 994 | 0 | 0 | 39 | 497 | 334 | 2 | 1 | 0.833 | 24 | 15 | 36 | 3 | 3 | 0 |
| Team Total or Average | 53 | 33 | 12 | 6 | 0.925 | 2.29 | 3123 | 2 | 2 | 119 | 1592 | 1000 | 2 | 1 | 0.829 | 41 | 51 | 50 | 12 | 4 | 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 | C | 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$ | |||||
Juho-Heikki Pitkanen | RW | 18 | 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$ | |||||||
Yuvenaly Panchishny ![]() | LW | 32 | 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 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 10 | -2 | 3 | 0.500 | 8 | 13 | 21 | 0 | 0 | 29 | 50 | 61 | 16 | 94 | 458 | 541 | 512 | 71 | 120 | 36 | 54 | 66 | 1 | 0 | 0.00% | 12 | 2 | 83.33% | 1 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 50.0% | 8.5% | 91.7% | 100.2 | DULL |
| 2 | Jacks | 4 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 15 | 9 | 6 | 8 | 1.000 | 15 | 22 | 37 | 0 | 0 | 29 | 50 | 61 | 16 | 118 | 458 | 541 | 512 | 71 | 108 | 25 | 46 | 102 | 5 | 2 | 40.00% | 13 | 3 | 76.92% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 68.4% | 12.7% | 91.7% | 104.4 | LUCKY |
| 3 | Rampage | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 29 | 50 | 61 | 16 | 62 | 458 | 541 | 512 | 71 | 68 | 18 | 45 | 46 | 3 | 1 | 33.33% | 10 | 2 | 80.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 20.0% | 4.8% | 85.3% | 90.1 | Unlucky |
| 4 | Kings | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 29 | 50 | 61 | 16 | 57 | 458 | 541 | 512 | 71 | 70 | 17 | 38 | 57 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 50.0% | 10.5% | 90.0% | 100.5 | FUN |
| 5 | Wolverines | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 15 | 23 | 0 | 0 | 29 | 50 | 61 | 16 | 86 | 458 | 541 | 512 | 71 | 84 | 24 | 28 | 72 | 6 | 2 | 33.33% | 9 | 2 | 77.78% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 42.9% | 9.3% | 88.1% | 97.4 | FUN |
| 6 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 29 | 50 | 61 | 16 | 33 | 458 | 541 | 512 | 71 | 31 | 8 | 13 | 21 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 75.0% | 9.1% | 96.8% | 105.9 | LUCKY |
| 7 | Crusaders | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 2 | 5 | 0 | 0 | 29 | 50 | 61 | 16 | 69 | 458 | 541 | 512 | 71 | 60 | 24 | 26 | 54 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 50.0% | 4.3% | 95.0% | 99.3 | DULL |
| 8 | Bulldogs | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 29 | 50 | 61 | 16 | 38 | 458 | 541 | 512 | 71 | 24 | 8 | 0 | 26 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 57.1% | 10.5% | 87.5% | 98.0 | FUN |
| 9 | Rock | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 29 | 50 | 61 | 16 | 65 | 458 | 541 | 512 | 71 | 66 | 21 | 45 | 50 | 4 | 2 | 50.00% | 5 | 0 | 100.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 57.1% | 9.2% | 95.5% | 104.7 | LUCKY |
| 10 | Auroras | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 18 | 8 | 10 | 9 | 0.900 | 18 | 33 | 51 | 0 | 1 | 29 | 50 | 61 | 16 | 166 | 458 | 541 | 512 | 71 | 127 | 56 | 83 | 121 | 21 | 5 | 23.81% | 14 | 3 | 78.57% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 72.2% | 10.8% | 93.7% | 104.5 | LUCKY |
| 11 | Jazz | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 5 | 6 | 6 | 1.000 | 11 | 18 | 29 | 0 | 0 | 29 | 50 | 61 | 16 | 92 | 458 | 541 | 512 | 71 | 81 | 28 | 46 | 80 | 11 | 3 | 27.27% | 3 | 0 | 100.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 61.5% | 12.0% | 93.8% | 105.8 | LUCKY |
| 12 | Hornets | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 9 | 7 | 2 | 5 | 0.833 | 9 | 14 | 23 | 0 | 0 | 29 | 50 | 61 | 16 | 85 | 458 | 541 | 512 | 71 | 107 | 36 | 17 | 80 | 2 | 1 | 50.00% | 6 | 2 | 66.67% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 61.5% | 10.6% | 93.5% | 104.0 | LUCKY |
| 13 | Wolfpack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 29 | 50 | 61 | 16 | 54 | 458 | 541 | 512 | 71 | 59 | 18 | 25 | 40 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 42.9% | 7.4% | 93.2% | 100.6 | DULL |
| 14 | Vipers | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 16 | 26 | 0 | 1 | 29 | 50 | 61 | 16 | 86 | 458 | 541 | 512 | 71 | 84 | 39 | 33 | 85 | 5 | 2 | 40.00% | 9 | 0 | 100.00% | 1 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 57.1% | 11.6% | 92.9% | 104.5 | LUCKY |
| 15 | Devils | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 13 | 7 | 6 | 6 | 1.000 | 13 | 21 | 34 | 0 | 0 | 29 | 50 | 61 | 16 | 86 | 458 | 541 | 512 | 71 | 117 | 19 | 44 | 67 | 12 | 5 | 41.67% | 8 | 4 | 50.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 72.7% | 15.1% | 94.0% | 109.1 | LUCKY |
| 16 | Stingers | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 4 | 3 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 29 | 50 | 61 | 16 | 68 | 458 | 541 | 512 | 71 | 61 | 21 | 25 | 50 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 66.7% | 10.3% | 93.4% | 103.7 | LUCKY |
| 17 | Schooners | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 29 | 50 | 61 | 16 | 31 | 458 | 541 | 512 | 71 | 29 | 9 | 5 | 26 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 66.7% | 6.5% | 96.6% | 103.0 | DULL |
| 18 | Hydra | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 29 | 50 | 61 | 16 | 48 | 458 | 541 | 512 | 71 | 66 | 16 | 20 | 50 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 50.0% | 12.5% | 90.9% | 103.4 | FUN |
| 19 | Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 29 | 50 | 61 | 16 | 22 | 458 | 541 | 512 | 71 | 38 | 15 | 30 | 22 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 50.0% | 9.1% | 89.5% | 98.6 | FUN |
| 20 | Spartans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 1 | 0 | 29 | 50 | 61 | 16 | 63 | 458 | 541 | 512 | 71 | 59 | 24 | 19 | 70 | 3 | 2 | 66.67% | 7 | 1 | 85.71% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 42.9% | 7.9% | 91.5% | 99.5 | DULL |
| 21 | Northmen | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 29 | 50 | 61 | 16 | 29 | 458 | 541 | 512 | 71 | 34 | 9 | 7 | 15 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 75.0% | 13.8% | 97.1% | 110.9 | LUCKY |
| 22 | Yeti | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 5 | 10 | -5 | 1 | 0.167 | 5 | 7 | 12 | 0 | 0 | 29 | 50 | 61 | 16 | 91 | 458 | 541 | 512 | 71 | 100 | 39 | 38 | 64 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 33.3% | 5.5% | 90.0% | 95.5 | Unlucky |
| _Vs Division | 12 | 6 | 2 | 0 | 1 | 1 | 1 | 1 | 44 | 29 | 15 | 18 | 0.750 | 44 | 69 | 113 | 0 | 1 | 29 | 50 | 61 | 16 | 347 | 458 | 541 | 512 | 71 | 379 | 100 | 161 | 311 | 25 | 10 | 40.00% | 34 | 9 | 73.53% | 2 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 63.0% | 12.7% | 92.3% | 105.0 | LUCKY | |
| _Vs Conference | 34 | 15 | 7 | 0 | 5 | 2 | 3 | 2 | 107 | 83 | 24 | 50 | 0.735 | 107 | 176 | 283 | 0 | 2 | 29 | 50 | 61 | 16 | 1015 | 458 | 541 | 512 | 71 | 1057 | 337 | 452 | 834 | 75 | 22 | 29.33% | 86 | 18 | 79.07% | 3 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 56.7% | 10.5% | 92.1% | 102.7 | LUCKY | |
| _Since Last GM Reset | 51 | 21 | 12 | 0 | 6 | 2 | 6 | 4 | 152 | 124 | 28 | 72 | 0.706 | 152 | 244 | 396 | 1 | 2 | 29 | 50 | 61 | 16 | 1543 | 458 | 541 | 512 | 71 | 1593 | 510 | 687 | 1264 | 104 | 30 | 28.85% | 131 | 25 | 80.92% | 3 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 55.2% | 9.9% | 92.2% | 102.1 | LUCKY | |
| Total | 51 | 21 | 12 | 0 | 6 | 2 | 6 | 4 | 152 | 124 | 28 | 72 | 0.706 | 152 | 244 | 396 | 1 | 2 | 29 | 50 | 61 | 16 | 1543 | 458 | 541 | 512 | 71 | 1593 | 510 | 687 | 1264 | 104 | 30 | 28.85% | 131 | 25 | 80.92% | 3 | 572 | 1066 | 53.66% | 495 | 903 | 54.82% | 404 | 702 | 57.55% | 1133 | 666 | 1073 | 459 | 920 | 457 | 55.2% | 9.9% | 92.2% | 102.1 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 18 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1066 |
| Neutral Zone Start | 702 |
| Defensive Zone Start | 903 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1471 |
| Faceoffs Lost | 1200 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.0 | 9.57 |
| 2nd Period | 19.6 | 20.31 |
| 3rd Period | 29.6 | 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 | 1.5 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 118 |
|---|---|
| PP Goal | 30 |
| PK Goal | 3 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 21 | 12 |
| Lost | 7 | 5 |
| Overtime Lost | 2 | 4 |
| PP Attempt | 104 |
|---|---|
| PP Goal | 30 |
| PK Attempt | 131 |
| PK Goal Against | 25 |
| Home | |
|---|---|
| Shots For | 30.3 |
| Shots Against | 31.2 |
| Goals For | 3.0 |
| Goals Against | 2.4 |
| Hits | 24.8 |
| Shots Blocked | 10.0 |
| Pim | 13.5 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,613,480$ | 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 | 56562 | 28220 | |||
| Attendance PCT | 94.27% | 94.07% | 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 |
| 10 | 2826 - 94.20% | 84,104$ | 2,523,120$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,613,480$ | 3,613,480$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,595,729$ | 3,613,480$ | 2,595,729$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 841,040$ | 57 | 29,483$ | 1,710,014$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,710,014$ | 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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