| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 52 | 28 | 19 | 5 | 61 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gennady Yarkovoi | 0 | RW | 100.00 | 89 | 40 | 89 | 99 | 69 | 82 | 90 | 59 | 79 | 70 | 78 | 67 | 51 | 64 | 51 | 71 | 50 | 78 | 22 | 1,465,000$/1yrs | |||
Anthony Heintze | 4 | C | 100.00 | 88 | 63 | 76 | 61 | 81 | 81 | 85 | 88 | 80 | 87 | 46 | 54 | 46 | 54 | 73 | 6 | 50 | 75 | 34 | 1,000,000$/1yrs | |||
Forester OCorley | 9 | RW | 100.00 | 61 | 58 | 85 | 95 | 80 | 79 | 82 | 53 | 91 | 56 | 92 | 66 | 61 | 42 | 57 | 18 | 50 | 75 | 32 | 1,074,730$/1yrs | |||
Horst Kolar (R) | 0 | LW | 100.00 | 81 | 70 | 70 | 63 | 76 | 81 | 87 | 91 | 75 | 50 | 89 | 72 | 86 | 63 | 71 | 62 | 50 | 75 | 18 | 900,000$/3yrs | |||
Geordie Mcgee | 0 | LW | 100.00 | 61 | 45 | 99 | 75 | 69 | 77 | 95 | 76 | 84 | 54 | 85 | 64 | 59 | 49 | 75 | 35 | 50 | 74 | 29 | 1,200,000$/4yrs | |||
Anton Alekhin | 48 | LW | 100.00 | 38 | 58 | 91 | 84 | 93 | 74 | 81 | 65 | 92 | 64 | 76 | 55 | 34 | 83 | 52 | 18 | 50 | 73 | 32 | 1,300,000$/2yrs | |||
Patrick Ehn | 33 | C | 97.99 | 33 | 38 | 99 | 93 | 89 | 65 | 65 | 62 | 73 | 87 | 76 | 34 | 40 | 65 | 72 | 17 | 50 | 72 | 32 | 852,697$/3yrs | |||
Sawyer Sagert (R) | 59 | RW | 100.00 | 79 | 62 | 64 | 63 | 77 | 68 | 67 | 74 | 65 | 52 | 93 | 94 | 62 | 74 | 89 | 67 | 50 | 72 | 22 | 800,000$/2yrs | |||
Maxx Wilcox (R) | 55 | RW | 100.00 | 91 | 60 | 69 | 63 | 91 | 74 | 57 | 82 | 50 | 76 | 89 | 46 | 52 | 51 | 29 | 70 | 50 | 72 | 22 | 800,000$/2yrs | |||
Motoichi Marugo | 56 | LW | 100.00 | 45 | 42 | 93 | 95 | 63 | 83 | 62 | 69 | 87 | 58 | 80 | 54 | 91 | 49 | 61 | 32 | 50 | 71 | 30 | 1,500,000$/1yrs | |||
Konrad Sadri | 0 | C | 100.00 | 38 | 58 | 94 | 72 | 56 | 80 | 48 | 60 | 99 | 75 | 86 | 53 | 50 | 46 | 52 | 21 | 50 | 68 | 32 | 728,704$/1yrs | |||
Ruslan Pohe (R) | 58 | C | 100.00 | 36 | 60 | 72 | 64 | 88 | 70 | 77 | 78 | 76 | 50 | 48 | 73 | 57 | 79 | 87 | 73 | 50 | 66 | 22 | 900,000$/3yrs | |||
Grayson Jambrosich | 47 | D | 100.00 | 75 | 66 | 74 | 92 | 90 | 66 | 67 | 67 | 25 | 70 | 51 | 78 | 34 | 64 | 64 | 8 | 50 | 75 | 34 | 1,003,019$/1yrs | |||
Steve Taschuk (R) | 61 | D | 100.00 | 96 | 44 | 73 | 59 | 52 | 82 | 65 | 78 | 25 | 85 | 46 | 95 | 37 | 57 | 43 | 65 | 50 | 73 | 22 | 800,000$/2yrs | |||
Christian Cannan | 5 | D | 100.00 | 52 | 35 | 95 | 84 | 77 | 60 | 73 | 87 | 25 | 70 | 51 | 77 | 74 | 36 | 84 | 16 | 50 | 70 | 33 | 984,644$/1yrs | |||
Kirill Lysenko (R) | 0 | D | 100.00 | 60 | 27 | 59 | 60 | 68 | 87 | 93 | 57 | 25 | 45 | 44 | 99 | 90 | 52 | 81 | 74 | 50 | 69 | 21 | 985,000$/4yrs | |||
Brayden Calkins (R) | 41 | D | 100.00 | 80 | 60 | 62 | 80 | 70 | 75 | 49 | 85 | 25 | 50 | 67 | 57 | 58 | 65 | 95 | 64 | 50 | 67 | 22 | 935,000$/1yrs | |||
Barys Kupava (R) | 0 | D | 100.00 | 61 | 49 | 62 | 81 | 65 | 86 | 59 | 54 | 25 | 58 | 35 | 84 | 41 | 53 | 66 | 66 | 50 | 67 | 21 | 747,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Maitland Mcclerey | 90 | C | 100.00 | 48 | 53 | 96 | 88 | 44 | 69 | 91 | 68 | 91 | 79 | 97 | 36 | 58 | 41 | 53 | 1 | 50 | 73 | 36 | 1,319,412$/1yrs | |||
Aleksandr Krutikov | 13 | RW | 100.00 | 52 | 63 | 70 | 76 | 54 | 57 | 89 | 97 | 86 | 95 | 42 | 68 | 33 | 40 | 69 | 1 | 50 | 73 | 36 | 808,609$/1yrs | |||
Vinny Menzies | 29 | RW | 100.00 | 46 | 36 | 82 | 82 | 86 | 71 | 82 | 87 | 73 | 46 | 77 | 65 | 98 | 97 | 69 | 31 | 50 | 72 | 28 | 700,000$/1yrs | |||
Keven Spittel | 0 | RW | 100.00 | 47 | 49 | 68 | 77 | 82 | 55 | 90 | 76 | 97 | 47 | 94 | 46 | 78 | 67 | 69 | 1 | 50 | 70 | 35 | 700,000$/1yrs | |||
Tomas Lauckner | 63 | LW | 100.00 | 84 | 39 | 62 | 55 | 55 | 67 | 49 | 60 | 89 | 73 | 85 | 90 | 71 | 80 | 46 | 42 | 50 | 69 | 27 | 700,000$/1yrs | |||
Vili-Antti Nevakivi | 34 | LW | 100.00 | 71 | 61 | 81 | 80 | 88 | 62 | 76 | 75 | 59 | 44 | 73 | 67 | 44 | 67 | 56 | 54 | 50 | 69 | 25 | 1,500,000$/3yrs | |||
Terrance Fanelli (R) | 62 | LW | 100.00 | 29 | 54 | 92 | 96 | 58 | 67 | 83 | 68 | 44 | 58 | 76 | 60 | 69 | 68 | 67 | 65 | 50 | 68 | 23 | 900,000$/4yrs | |||
Helge Welin | 35 | D | 100.00 | 59 | 55 | 66 | 83 | 66 | 54 | 49 | 68 | 25 | 70 | 71 | 82 | 58 | 85 | 76 | 22 | 50 | 67 | 30 | 733,388$/2yrs | |||
Burke Shively | 4 | D | 100.00 | 39 | 49 | 62 | 86 | 92 | 54 | 48 | 89 | 25 | 65 | 46 | 77 | 85 | 59 | 80 | 16 | 50 | 67 | 31 | 700,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tobias Westman | 32 | 95.00 | 98 | 58 | 64 | 71 | 56 | 54 | 99 | 73 | 90 | 82 | 83 | 96 | 90 | 28 | 50 | 74 | 30 | 1,433,250$/2yrs |
Irving Nickens | 33 | 100.00 | 59 | 84 | 75 | 80 | 99 | 99 | 62 | 77 | 53 | 57 | 51 | 81 | 30 | 45 | 50 | 74 | 25 | 1,600,000$/5yrs |
| Scratches | ||||||||||||||||||||
Albert Brkljaca | 30 | 100.00 | 67 | 69 | 88 | 70 | 62 | 54 | 94 | 55 | 63 | 70 | 87 | 97 | 84 | 42 | 50 | 69 | 27 | 1,365,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Chuck Miller | 92 | 77 | 78 | 70 | 50 | 41 | 87 | USA | 46 | 4 | 600,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Mike Bell |
|---|
| 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 | Anthony Heintze | Spartans (KNI) | C | 50 | 21 | 38 | 59 | 11 | 88 | 60 | 92 | 183 | 49 | 77 | 11.48% | 17 | 19.86 | 4 | 9 | 13 | 0 | 0 | 0 | 48 | 4 | 1 | 51.35% | 0 | 1 | 1.18 | 0 | 0 | 0.94 | |||
| 2 | Maitland Mcclerey | Spartans (KNI) | C | 40 | 14 | 23 | 37 | -4 | 15 | 15 | 11 | 131 | 31 | 77 | 10.69% | 15 | 19.53 | 1 | 7 | 8 | 0 | 0 | 0 | 34 | 2 | 2 | 49.72% | 2 | 0 | 0.93 | 0 | 0 | 0.84 | |||
| 3 | Maxx Wilcox | Spartans (KNI) | RW | 48 | 19 | 18 | 37 | -5 | 42 | 30 | 105 | 143 | 50 | 93 | 13.29% | 16 | 17.54 | 6 | 4 | 10 | 0 | 0 | 0 | 23 | 3 | 1 | 28.00% | 0 | 0 | 0.77 | 1 | 1 | 0.69 | |||
| 4 | Geordie Mcgee | Spartans (KNI) | LW | 52 | 18 | 15 | 33 | -7 | 10 | 10 | 47 | 148 | 40 | 88 | 12.16% | 29 | 18.60 | 5 | 4 | 9 | 0 | 0 | 0 | 15 | 0 | 0 | 52.27% | 0 | 0 | 0.63 | 0 | 0 | 0.66 | |||
| 5 | Patrick Ehn | Spartans (KNI) | C | 52 | 7 | 23 | 30 | -16 | 22 | 10 | 7 | 93 | 27 | 65 | 7.53% | 0 | 13.47 | 2 | 2 | 4 | 0 | 0 | 0 | 13 | 0 | 0 | 44.62% | 0 | 0 | 0.58 | 0 | 0 | 0.36 | |||
| 6 | Vinny Menzies | Spartans (KNI) | RW | 46 | 14 | 15 | 29 | -3 | 2 | 0 | 32 | 114 | 25 | 58 | 12.28% | 19 | 13.87 | 1 | 4 | 5 | 0 | 0 | 0 | 0 | 5 | 1 | 47.06% | 1 | 0 | 0.63 | 0 | 3 | 0.66 | |||
| 7 | Anton Alekhin | Spartans (KNI) | LW | 50 | 15 | 10 | 25 | -2 | 0 | 0 | 7 | 89 | 27 | 62 | 16.85% | 15 | 13.23 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 1 | 76.09% | 0 | 0 | 0.50 | 0 | 0 | 0.52 | |||
| 8 | Steve Taschuk | Spartans (KNI) | D | 46 | 3 | 21 | 24 | 10 | 30 | 20 | 185 | 48 | 25 | 20 | 6.25% | 55 | 23.97 | 2 | 4 | 6 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0.52 | 0 | 1 | 0.52 | |||
| 9 | Horst Kolar | Spartans (KNI) | LW | 51 | 13 | 9 | 22 | -6 | 74 | 50 | 94 | 95 | 28 | 49 | 13.68% | 12 | 16.17 | 4 | 3 | 7 | 0 | 0 | 0 | 15 | 6 | 1 | 39.62% | 0 | 0 | 0.43 | 0 | 1 | 0.21 | |||
| 10 | Christian Cannan | Spartans (KNI) | D | 52 | 4 | 15 | 19 | 7 | 0 | 0 | 18 | 74 | 25 | 22 | 5.41% | 45 | 16.74 | 1 | 1 | 2 | 0 | 0 | 0 | 29 | 2 | 1 | 0.00% | 0 | 0 | 0.37 | 0 | 1 | 0.43 | |||
| 11 | Ruslan Pohe | Spartans (KNI) | C | 49 | 10 | 8 | 18 | 6 | 12 | 10 | 13 | 29 | 5 | 23 | 34.48% | 13 | 8.84 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 1 | 52.74% | 1 | 0 | 0.37 | 0 | 0 | 0.32 | |||
| 12 | Forester OCorley | Spartans (KNI) | RW | 52 | 11 | 6 | 17 | -2 | 17 | 15 | 52 | 86 | 34 | 51 | 12.79% | 13 | 13.45 | 0 | 2 | 2 | 0 | 0 | 0 | 3 | 2 | 2 | 37.04% | 0 | 0 | 0.33 | 0 | 0 | 0.34 | |||
| 13 | Sawyer Sagert | Spartans (KNI) | RW | 44 | 7 | 9 | 16 | 3 | 50 | 10 | 108 | 74 | 25 | 44 | 9.46% | 25 | 15.94 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 54.05% | 0 | 0 | 0.36 | 0 | 0 | 0.30 | |||
| 14 | Brayden Calkins | Spartans (KNI) | D | 47 | 0 | 13 | 13 | -6 | 14 | 0 | 96 | 35 | 12 | 16 | 0.00% | 32 | 15.71 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 0 | 0.22 | |||
| 15 | Terrance Fanelli | Spartans (KNI) | LW | 27 | 2 | 9 | 11 | -1 | 0 | 0 | 4 | 43 | 15 | 28 | 4.65% | 2 | 8.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.41 | 0 | 1 | 0.41 | |||
| 16 | Helge Welin | Spartans (KNI) | D | 30 | 0 | 10 | 10 | -8 | 30 | 20 | 45 | 41 | 24 | 21 | 0.00% | 36 | 21.37 | 0 | 2 | 2 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.14 | |||
| 17 | Kirill Lysenko | Spartans (KNI) | D | 52 | 1 | 7 | 8 | -24 | 32 | 0 | 98 | 57 | 20 | 25 | 1.75% | 75 | 20.89 | 1 | 0 | 1 | 0 | 0 | 0 | 40 | 1 | 0 | 0.00% | 0 | 0 | 0.15 | 2 | 3 | 0.01 | |||
| 18 | Grayson Jambrosich | Spartans (KNI) | D | 20 | 0 | 7 | 7 | -1 | 23 | 15 | 44 | 24 | 13 | 18 | 0.00% | 22 | 22.87 | 0 | 4 | 4 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.35 | 0 | 0 | 0.20 | |||
| 19 | Keven Spittel | Spartans (KNI) | RW | 14 | 2 | 4 | 6 | 6 | 0 | 0 | 4 | 19 | 5 | 5 | 10.53% | 5 | 7.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.58 | |||
| 20 | Motoichi Marugo | Spartans (KNI) | LW | 19 | 4 | 2 | 6 | 1 | 0 | 0 | 7 | 31 | 9 | 15 | 12.90% | 4 | 7.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 0 | 1 | 0.32 | 0 | 0 | 0.41 | |||
| 21 | Gennady Yarkovoi | Spartans (KNI) | RW | 7 | 1 | 3 | 4 | 3 | 0 | 0 | 12 | 38 | 3 | 8 | 2.63% | 3 | 18.43 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 36.36% | 0 | 0 | 0.57 | 0 | 0 | 1.00 | |||
| 22 | Konrad Sadri | Spartans (KNI) | C | 14 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 27 | 8 | 10 | 7.41% | 1 | 12.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.43% | 0 | 0 | 0.29 | 0 | 0 | 0.36 | |||
| 23 | Vili-Antti Nevakivi | Spartans (KNI) | LW | 9 | 1 | 2 | 3 | 0 | 0 | 0 | 5 | 17 | 5 | 4 | 5.88% | 5 | 8.86 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 1 | 1 | 0.41 | |||
| 24 | Burke Shively | Spartans (KNI) | D | 11 | 0 | 2 | 2 | 9 | 0 | 0 | 5 | 4 | 5 | 5 | 0.00% | 9 | 14.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.47 | |||
| 25 | Barys Kupava | Spartans (KNI) | D | 9 | 0 | 1 | 1 | -1 | 5 | 5 | 8 | 12 | 3 | 2 | 0.00% | 5 | 14.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.06 | |||
| Team Total or Average | 891 | 169 | 272 | 441 | -30 | 466 | 270 | 1100 | 1655 | 513 | 886 | 10.21% | 473 | 16.05 | 27 | 46 | 73 | 710 | 0 | 0 | 0 | 367 | 32 | 11 | 49.57% | 3141 | 385 | 358 | 4 | 2 | 0.62 | 4 | 12 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Irving Nickens | Spartans (KNI) | 35 | 18 | 13 | 4 | 0.897 | 3.44 | 1951 | 4 | 0 | 112 | 1086 | 408 | 1 | 0 | 0.273 | 11 | 34 | 18 | 3 | 1 | 1 |
| 2 | Tobias Westman | Spartans (KNI) | 21 | 9 | 6 | 1 | 0.916 | 3.04 | 1126 | 0 | 0 | 57 | 677 | 414 | 2 | 0 | 0.000 | 0 | 17 | 30 | 4 | 0 | 1 |
| 3 | Albert Brkljaca | Spartans (KNI) | 1 | 1 | 0 | 0 | 0.962 | 1.00 | 60 | 0 | 0 | 1 | 26 | 15 | 0 | 0 | 0.000 | 0 | 1 | 4 | 0 | 1 | 0 |
| Team Total or Average | 57 | 28 | 19 | 5 | 0.905 | 3.25 | 3137 | 4 | 0 | 170 | 1789 | 837 | 3 | 0 | 0.273 | 11 | 52 | 52 | 7 | 2 | 2 |
| Player Name | POS | Age | Cap Hit | 5-6 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Albert Brkljaca ![]() | G | 27 | 1,365,000$ | 1,365,000$ | |||||||
Aleksandr Krutikov ![]() | RW | 36 | 808,609$ | 808,609$ | |||||||
Anthony Heintze ![]() | C | 34 | 1,000,000$ | 1,000,000$ | |||||||
Anton Alekhin ![]() | LW | 32 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Barys Kupava | D | 21 | 747,000$ | 747,000$ | 747,000$ | 747,000$ | |||||
Brayden Calkins | D | 22 | 935,000$ | 935,000$ | |||||||
Burke Shively ![]() | D | 31 | 700,000$ | 700,000$ | |||||||
Christian Cannan ![]() | D | 33 | 984,644$ | 984,644$ | |||||||
Forester OCorley ![]() | RW | 32 | 1,074,730$ | 1,074,730$ | |||||||
Gennady Yarkovoi | RW | 22 | 1,465,000$ | 1,465,000$ | |||||||
Geordie Mcgee ![]() | LW | 29 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||
Grayson Jambrosich ![]() | D | 34 | 1,003,019$ | 1,003,019$ | |||||||
Helge Welin ![]() | D | 30 | 733,388$ | 733,388$ | 733,388$ | ||||||
Horst Kolar | LW | 18 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Irving Nickens ![]() | G | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | |||
Keven Spittel ![]() | RW | 35 | 700,000$ | 700,000$ | |||||||
Kirill Lysenko | D | 21 | 985,000$ | 985,000$ | 985,000$ | 985,000$ | 985,000$ | ||||
Konrad Sadri ![]() | C | 32 | 728,704$ | 728,704$ | |||||||
Maitland Mcclerey ![]() | C | 36 | 1,319,412$ | 1,319,412$ | |||||||
Maxx Wilcox | RW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Motoichi Marugo ![]() | LW | 30 | 1,500,000$ | 1,500,000$ | |||||||
Patrick Ehn ![]() | C | 32 | 852,697$ | 852,697$ | 852,697$ | 852,697$ | |||||
Ruslan Pohe | C | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Sawyer Sagert | RW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Steve Taschuk | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Terrance Fanelli | LW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 900,000$ | ||||
Tobias Westman ![]() | G | 30 | 1,433,250$ | 1,433,250$ | 1,433,250$ | ||||||
Tomas Lauckner ![]() | LW | 27 | 700,000$ | 700,000$ | |||||||
Vili-Antti Nevakivi ![]() | LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Vinny Menzies ![]() | RW | 28 | 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 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 10 | -6 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 53 | 59 | 63 | 7 | 58 | 559 | 561 | 590 | 22 | 77 | 29 | 19 | 48 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 23.1% | 6.9% | 87.0% | 93.9 | Unlucky |
| 2 | Jacks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 1.000 | 8 | 14 | 22 | 0 | 0 | 53 | 59 | 63 | 7 | 36 | 559 | 561 | 590 | 22 | 28 | 7 | 22 | 27 | 2 | 2 | 100.00% | 1 | 0 | 100.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 60.0% | 22.2% | 85.7% | 107.9 | FUN |
| 3 | Rampage | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 11 | -1 | 3 | 0.500 | 10 | 17 | 27 | 0 | 0 | 53 | 59 | 63 | 7 | 110 | 559 | 561 | 590 | 22 | 107 | 23 | 30 | 82 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 44.4% | 9.1% | 89.7% | 98.8 | FUN |
| 4 | Kings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 53 | 59 | 63 | 7 | 30 | 559 | 561 | 590 | 22 | 30 | 10 | 17 | 26 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 25.0% | 3.3% | 86.7% | 90.0 | Unlucky |
| 5 | Wolverines | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 53 | 59 | 63 | 7 | 42 | 559 | 561 | 590 | 22 | 34 | 5 | 0 | 16 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 42.9% | 7.1% | 88.2% | 95.4 | Unlucky |
| 6 | Comets | 5 | 2 | 0 | 0 | 1 | 0 | 0 | 2 | 17 | 14 | 3 | 8 | 0.800 | 17 | 25 | 42 | 0 | 0 | 53 | 59 | 63 | 7 | 181 | 559 | 561 | 590 | 22 | 181 | 48 | 22 | 109 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 53.6% | 9.4% | 92.3% | 101.7 | LUCKY |
| 7 | Crusaders | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 8 | 15 | -7 | 4 | 0.500 | 8 | 14 | 22 | 0 | 0 | 53 | 59 | 63 | 7 | 128 | 559 | 561 | 590 | 22 | 138 | 38 | 41 | 82 | 7 | 1 | 14.29% | 3 | 2 | 33.33% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 35.0% | 6.3% | 89.1% | 95.4 | Unlucky |
| 8 | Bulldogs | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 6 | 1.000 | 13 | 20 | 33 | 0 | 0 | 53 | 59 | 63 | 7 | 112 | 559 | 561 | 590 | 22 | 97 | 31 | 21 | 62 | 8 | 3 | 37.50% | 3 | 0 | 100.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 62.5% | 11.6% | 93.8% | 105.4 | LUCKY |
| 9 | Rock | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 13 | 17 | -4 | 2 | 0.250 | 13 | 25 | 38 | 0 | 0 | 53 | 59 | 63 | 7 | 143 | 559 | 561 | 590 | 22 | 140 | 45 | 30 | 86 | 13 | 2 | 15.38% | 5 | 3 | 40.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 44.0% | 9.1% | 87.9% | 96.9 | FUN |
| 10 | Jazz | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 0.500 | 10 | 15 | 25 | 0 | 0 | 53 | 59 | 63 | 7 | 64 | 559 | 561 | 590 | 22 | 70 | 24 | 51 | 63 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 50.0% | 15.6% | 88.6% | 104.2 | FUN |
| 11 | Wolfpack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 53 | 59 | 63 | 7 | 60 | 559 | 561 | 590 | 22 | 70 | 24 | 21 | 44 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 14.3% | 5.0% | 90.0% | 95.0 | Unlucky |
| 12 | Vipers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 53 | 59 | 63 | 7 | 68 | 559 | 561 | 590 | 22 | 58 | 15 | 4 | 36 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 70.0% | 10.3% | 94.8% | 105.1 | LUCKY |
| 13 | Devils | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 53 | 59 | 63 | 7 | 68 | 559 | 561 | 590 | 22 | 78 | 27 | 13 | 48 | 7 | 2 | 28.57% | 4 | 3 | 25.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 60.0% | 11.8% | 91.0% | 102.8 | FUN |
| 14 | Guppies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 53 | 59 | 63 | 7 | 59 | 559 | 561 | 590 | 22 | 63 | 20 | 11 | 44 | 7 | 1 | 14.29% | 3 | 2 | 33.33% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 57.1% | 8.5% | 92.1% | 100.5 | DULL |
| 15 | Stingers | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 7 | 12 | 6 | 1.000 | 19 | 33 | 52 | 0 | 0 | 53 | 59 | 63 | 7 | 98 | 559 | 561 | 590 | 22 | 94 | 31 | 57 | 61 | 12 | 5 | 41.67% | 6 | 0 | 100.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 66.7% | 19.4% | 92.6% | 111.9 | LUCKY |
| 16 | Schooners | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 13 | 11 | 2 | 5 | 0.625 | 13 | 24 | 37 | 0 | 0 | 53 | 59 | 63 | 7 | 130 | 559 | 561 | 590 | 22 | 158 | 44 | 24 | 84 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 52.4% | 10.0% | 93.0% | 103.0 | LUCKY |
| 17 | Hydra | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 4 | 0.667 | 12 | 18 | 30 | 0 | 0 | 53 | 59 | 63 | 7 | 89 | 559 | 561 | 590 | 22 | 77 | 25 | 4 | 72 | 7 | 2 | 28.57% | 2 | 2 | 0.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 52.6% | 13.5% | 85.7% | 99.2 | FUN |
| 18 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 53 | 59 | 63 | 7 | 73 | 559 | 561 | 590 | 22 | 72 | 29 | 19 | 34 | 3 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 50.0% | 9.6% | 87.5% | 97.1 | FUN |
| 19 | Northmen | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 53 | 59 | 63 | 7 | 48 | 559 | 561 | 590 | 22 | 81 | 31 | 4 | 52 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 45.5% | 10.4% | 92.6% | 103.0 | LUCKY |
| 20 | Yeti | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 53 | 59 | 63 | 7 | 33 | 559 | 561 | 590 | 22 | 30 | 8 | 19 | 30 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 33.3% | 3.0% | 90.0% | 93.0 | Unlucky |
| 21 | Wild Wings | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 18 | 29 | 0 | 0 | 53 | 59 | 63 | 7 | 91 | 559 | 561 | 590 | 22 | 106 | 34 | 21 | 67 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 50.0% | 12.1% | 89.6% | 101.7 | FUN |
| _Vs Division | 9 | 5 | 3 | 0 | 2 | 0 | 0 | 3 | 29 | 28 | 1 | 17 | 0.944 | 29 | 42 | 71 | 0 | 0 | 53 | 59 | 63 | 7 | 313 | 559 | 561 | 590 | 22 | 316 | 97 | 52 | 187 | 14 | 3 | 21.43% | 11 | 5 | 54.55% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 53.1% | 9.3% | 91.1% | 100.4 | Unlucky | |
| _Vs Conference | 36 | 18 | 11 | 0 | 3 | 1 | 0 | 3 | 128 | 118 | 10 | 46 | 0.639 | 128 | 213 | 341 | 0 | 0 | 53 | 59 | 63 | 7 | 1203 | 559 | 561 | 590 | 22 | 1251 | 379 | 273 | 791 | 72 | 19 | 26.39% | 44 | 12 | 72.73% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 50.7% | 10.6% | 90.6% | 101.2 | FUN | |
| _Since Last GM Reset | 52 | 25 | 19 | 0 | 3 | 2 | 0 | 3 | 178 | 173 | 5 | 61 | 0.587 | 178 | 288 | 466 | 0 | 0 | 53 | 59 | 63 | 7 | 1721 | 559 | 561 | 590 | 22 | 1789 | 548 | 450 | 1173 | 106 | 29 | 27.36% | 70 | 20 | 71.43% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 49.3% | 10.3% | 90.3% | 100.7 | FUN | |
| Total | 52 | 25 | 19 | 0 | 3 | 2 | 0 | 3 | 178 | 173 | 5 | 61 | 0.587 | 178 | 288 | 466 | 0 | 0 | 53 | 59 | 63 | 7 | 1721 | 559 | 561 | 590 | 22 | 1789 | 548 | 450 | 1173 | 106 | 29 | 27.36% | 70 | 20 | 71.43% | 0 | 599 | 1174 | 51.02% | 572 | 1152 | 49.65% | 389 | 805 | 48.32% | 1079 | 627 | 1159 | 455 | 902 | 452 | 49.3% | 10.3% | 90.3% | 100.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 20 |
| Neutral Zone | 17 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1174 |
| Neutral Zone Start | 805 |
| Defensive Zone Start | 1152 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1560 |
| Faceoffs Lost | 1571 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.8 | 9.57 |
| 2nd Period | 21.5 | 20.31 |
| 3rd Period | 32.9 | 30.68 |
| Overtime | 33.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.4 | 2.67 |
| Overtime | 3.5 | 2.83 |
| Even Strenght Goal | 149 |
|---|---|
| PP Goal | 29 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 14 | 14 |
| Lost | 7 | 12 |
| Overtime Lost | 3 | 2 |
| PP Attempt | 106 |
|---|---|
| PP Goal | 29 |
| PK Attempt | 70 |
| PK Goal Against | 20 |
| Home | |
|---|---|
| Shots For | 33.1 |
| Shots Against | 34.4 |
| Goals For | 3.4 |
| Goals Against | 3.3 |
| Hits | 22.6 |
| Shots Blocked | 10.5 |
| Pim | 8.7 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 5,089,795$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Scranton | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 45926 | 22853 | |||
| Attendance PCT | 95.68% | 95.22% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 16 | 2866 - 95.53% | 85,322$ | 2,047,716$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 5,089,795$ | 5,089,795$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,305,893$ | 5,089,795$ | 2,305,893$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 1,365,144$ | 57 | 38,445$ | 2,229,810$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,229,810$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
|
|
|
|
| Defense #1 | Defense #2 | Goalie |
|---|---|---|
|
|
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
