| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 48 | 24 | 15 | 9 | 57 |
| GM: Christian Marcoux | League Rank:12nd | Arena: Connecticut Arena |
| Conference: Eastern Conference | Conference Rank:7th | Capacity:3,000 |
| Division: East Coast Division | Division Rank:4th | Total Player Salaries:4,395,644$ |
| Captain: Jensen Leduc | Last 10: 4-4-0 | |
| Coach: Gustavo Spence | Home: 10-7-3 | |
| All-Time Record: 131 W - 156 L - 33 OTL | Away: 8-8-6 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Robert Friend (R) | 28 | LW | 100.00 | 86 | 29 | 91 | 82 | 90 | 82 | 81 | 92 | 68 | 59 | 48 | 53 | 88 | 76 | 91 | 67 | 50 | 74 | 23 | 1,300,000$/5yrs | |||
Florentin Wehrle (R) | 17 | LW | 100.00 | 68 | 63 | 85 | 78 | 59 | 91 | 91 | 66 | 44 | 49 | 78 | 78 | 59 | 65 | 36 | 64 | 50 | 71 | 22 | 1,000,000$/2yrs | |||
Martti-Veikko Rotsa (R) | 10 | C | 99.00 | 50 | 41 | 88 | 78 | 48 | 78 | 70 | 75 | 99 | 78 | 52 | 58 | 79 | 50 | 76 | 63 | 50 | 69 | 23 | 1,450,000$/5yrs | |||
Dale Vacher (R) | 2 | RW | 100.00 | 35 | 33 | 76 | 72 | 53 | 92 | 70 | 85 | 80 | 34 | 67 | 88 | 48 | 43 | 79 | 73 | 50 | 67 | 22 | 800,000$/2yrs | |||
Codey Melnuk (R) | 1 | LW | 100.00 | 55 | 57 | 84 | 93 | 25 | 82 | 75 | 61 | 55 | 55 | 70 | 89 | 37 | 37 | 41 | 75 | 50 | 67 | 22 | 900,000$/2yrs | |||
Piers Flemming (R) | 27 | C | 100.00 | 34 | 40 | 69 | 79 | 27 | 82 | 80 | 52 | 78 | 82 | 70 | 62 | 57 | 50 | 47 | 73 | 50 | 67 | 20 | 800,000$/2yrs | |||
Jensen Leduc (R) (C) | 21 | RW | 100.00 | 26 | 61 | 74 | 67 | 57 | 83 | 84 | 59 | 71 | 68 | 67 | 55 | 66 | 59 | 56 | 71 | 50 | 66 | 19 | 800,000$/2yrs | |||
Sergey Yadrikhinsky (R) | 29 | RW | 100.00 | 71 | 49 | 38 | 74 | 74 | 73 | 76 | 40 | 63 | 67 | 68 | 67 | 52 | 67 | 59 | 65 | 50 | 66 | 19 | 800,000$/2yrs | |||
Po Gang-Seok (R) | 36 | RW | 100.00 | 45 | 43 | 92 | 95 | 26 | 68 | 52 | 60 | 78 | 86 | 48 | 56 | 78 | 52 | 39 | 64 | 50 | 64 | 23 | 725,000$/5yrs | |||
Abraham Crona (R) | 38 | C | 100.00 | 66 | 67 | 61 | 74 | 65 | 74 | 75 | 42 | 60 | 54 | 67 | 73 | 66 | 60 | 57 | 72 | 50 | 64 | 18 | 800,000$/3yrs | |||
Madden Poile (R) | 24 | C | 100.00 | 92 | 57 | 68 | 76 | 26 | 77 | 73 | 56 | 71 | 68 | 81 | 25 | 72 | 89 | 90 | 56 | 50 | 63 | 23 | 820,000$/4yrs | |||
Olli Wilson (R) | 35 | LW | 100.00 | 41 | 55 | 56 | 78 | 47 | 83 | 68 | 66 | 87 | 63 | 69 | 36 | 85 | 44 | 62 | 59 | 50 | 63 | 23 | 844,507$/3yrs | |||
Martin Johansen (R) | 25 | D | 100.00 | 84 | 74 | 84 | 78 | 79 | 88 | 78 | 48 | 65 | 58 | 48 | 85 | 64 | 82 | 61 | 69 | 50 | 76 | 18 | 800,000$/3yrs | |||
Lucien Rossall | 39 | D | 100.00 | 41 | 49 | 99 | 62 | 99 | 99 | 58 | 62 | 25 | 76 | 36 | 92 | 45 | 67 | 68 | 17 | 50 | 75 | 33 | 1,630,843$/1yrs | |||
Jovin Coish | 22 | D | 100.00 | 44 | 65 | 58 | 77 | 94 | 79 | 69 | 78 | 25 | 55 | 70 | 99 | 62 | 49 | 43 | 20 | 50 | 75 | 31 | 1,193,087$/1yrs | |||
Sidney Sittler | 30 | D | 100.00 | 45 | 69 | 76 | 77 | 57 | 95 | 90 | 70 | 25 | 76 | 50 | 76 | 58 | 48 | 63 | 23 | 50 | 72 | 31 | 1,300,000$/4yrs | |||
Hans Thackwray (R) | 0 | D | 100.00 | 63 | 46 | 85 | 92 | 65 | 96 | 99 | 67 | 25 | 43 | 38 | 59 | 62 | 58 | 42 | 63 | 50 | 70 | 21 | 1,022,000$/2yrs | |||
Alexander Zofka (R) | 0 | D | 100.00 | 47 | 60 | 70 | 78 | 26 | 92 | 94 | 55 | 25 | 71 | 39 | 63 | 90 | 54 | 61 | 59 | 50 | 63 | 22 | 713,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Benni Gauss (R) | 30 | LW | 100.00 | 87 | 60 | 77 | 86 | 97 | 66 | 74 | 54 | 81 | 67 | 70 | 83 | 82 | 84 | 66 | 66 | 50 | 75 | 18 | 800,000$/3yrs | |||
Garrick Lord (R) | 19 | LW | 100.00 | 45 | 45 | 54 | 74 | 60 | 92 | 78 | 54 | 59 | 81 | 80 | 69 | 37 | 29 | 28 | 76 | 50 | 71 | 21 | 900,000$/2yrs | |||
Donovan Valcourt (A) | 15 | D | 100.00 | 72 | 47 | 66 | 92 | 99 | 97 | 71 | 78 | 25 | 40 | 55 | 68 | 70 | 51 | 93 | 54 | 50 | 75 | 25 | 1,408,000$/2yrs | |||
Reuben Penttinen | 0 | D | 100.00 | 39 | 39 | 79 | 70 | 93 | 74 | 73 | 74 | 25 | 51 | 47 | 91 | 65 | 76 | 77 | 39 | 50 | 70 | 28 | 1,050,000$/3yrs | |||
Kerby Shapley | 31 | D | 100.00 | 47 | 65 | 81 | 80 | 52 | 68 | 59 | 70 | 25 | 83 | 62 | 96 | 66 | 62 | 47 | 17 | 50 | 70 | 32 | 1,899,999$/4yrs | |||
Mathieu Taker (R) | 26 | D | 100.00 | 59 | 70 | 65 | 76 | 60 | 79 | 78 | 52 | 64 | 70 | 55 | 63 | 52 | 54 | 65 | 61 | 50 | 67 | 19 | 800,000$/3yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gennady Lashkin | 20 | 98.00 | 85 | 81 | 94 | 91 | 63 | 82 | 67 | 71 | 58 | 90 | 55 | 36 | 28 | 74 | 50 | 78 | 21 | 900,000$/1yrs |
Jim Gloeckner | 35 | 100.00 | 77 | 66 | 68 | 71 | 86 | 62 | 78 | 92 | 66 | 95 | 82 | 37 | 61 | 40 | 50 | 76 | 27 | 1,600,000$/2yrs |
| Scratches | ||||||||||||||||||||
Niko-Markus Hautamaa | 40 | 100.00 | 72 | 61 | 74 | 56 | 65 | 66 | 78 | 61 | 79 | 67 | 64 | 64 | 64 | 55 | 50 | 68 | 19 | 800,000$/3yrs |
Bernhard Ernst | 14 | 100.00 | 68 | 73 | 71 | 55 | 73 | 53 | 59 | 71 | 61 | 59 | 62 | 45 | 52 | 39 | 50 | 64 | 19 | 800,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Gustavo Spence | 47 | 68 | 69 | 42 | 69 | 97 | 79 | USA | 54 | 3 | 275,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Christian Marcoux |
|---|
| 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 | Robert Friend | Crusaders (MIG) | LW | 42 | 25 | 17 | 42 | 8 | 6 | 0 | 80 | 158 | 55 | 109 | 15.82% | 17 | 17.23 | 5 | 4 | 9 | 0 | 0 | 0 | 8 | 6 | 0 | 43.48% | 0 | 0 | 1.00 | 1 | 2 | 1.17 | |||
| 2 | Florentin Wehrle | Crusaders (MIG) | LW | 47 | 17 | 18 | 35 | 4 | 13 | 5 | 57 | 168 | 52 | 101 | 10.12% | 21 | 15.28 | 2 | 3 | 5 | 1 | 1 | 2 | 76 | 2 | 1 | 26.32% | 0 | 1 | 0.74 | 1 | 3 | 0.87 | |||
| 3 | Jensen Leduc | Crusaders (MIG) | RW | 39 | 5 | 17 | 22 | 6 | 17 | 15 | 13 | 33 | 9 | 29 | 15.15% | 3 | 10.08 | 1 | 6 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 45.00% | 0 | 0 | 0.56 | 0 | 0 | 0.44 | |||
| 4 | Piers Flemming | Crusaders (MIG) | C | 33 | 7 | 14 | 21 | 8 | 8 | 0 | 34 | 71 | 39 | 45 | 9.86% | 10 | 18.54 | 4 | 2 | 6 | 0 | 0 | 0 | 37 | 1 | 0 | 50.74% | 0 | 0 | 0.64 | 0 | 0 | 0.69 | |||
| 5 | Jovin Coish | Crusaders (MIG) | D | 40 | 2 | 16 | 18 | 9 | 134 | 50 | 32 | 64 | 29 | 25 | 3.13% | 60 | 19.34 | 0 | 2 | 2 | 0 | 0 | 0 | 50 | 1 | 0 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | -0.01 | |||
| 6 | Benni Gauss | Crusaders (MIG) | LW | 25 | 6 | 10 | 16 | -6 | 16 | 10 | 45 | 61 | 16 | 35 | 9.84% | 11 | 17.09 | 0 | 3 | 3 | 0 | 0 | 0 | 41 | 0 | 0 | 59.52% | 0 | 0 | 0.64 | 0 | 1 | 0.50 | |||
| 7 | Martti-Veikko Rotsa | Crusaders (MIG) | C | 19 | 6 | 9 | 15 | -7 | 7 | 5 | 23 | 40 | 13 | 48 | 15.00% | 13 | 19.50 | 1 | 3 | 4 | 1 | 1 | 2 | 31 | 0 | 0 | 56.09% | 0 | 0 | 0.79 | 0 | 0 | 0.63 | |||
| 8 | Martin Johansen | Crusaders (MIG) | D | 42 | 0 | 14 | 14 | -1 | 62 | 40 | 57 | 42 | 10 | 25 | 0.00% | 50 | 19.83 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.09 | |||
| 9 | Donovan Valcourt | Crusaders (MIG) | D | 29 | 2 | 10 | 12 | 13 | 16 | 10 | 46 | 54 | 19 | 25 | 3.70% | 41 | 21.57 | 1 | 2 | 3 | 0 | 0 | 0 | 55 | 0 | 1 | 0.00% | 0 | 0 | 0.41 | 0 | 1 | 0.58 | |||
| 10 | Abraham Crona | Crusaders (MIG) | C | 47 | 4 | 8 | 12 | 4 | 42 | 30 | 78 | 31 | 10 | 27 | 12.90% | 12 | 11.55 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 1 | 0 | 40.28% | 0 | 0 | 0.26 | 0 | 0 | 0.14 | |||
| 11 | Lucien Rossall | Crusaders (MIG) | D | 41 | 1 | 10 | 11 | 3 | 10 | 10 | 18 | 48 | 18 | 18 | 2.08% | 58 | 24.49 | 0 | 1 | 1 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.30 | |||
| 12 | Sidney Sittler | Crusaders (MIG) | D | 48 | 1 | 10 | 11 | -3 | 40 | 30 | 17 | 53 | 22 | 18 | 1.89% | 30 | 15.79 | 0 | 4 | 4 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.10 | |||
| 13 | Olli Wilson | Crusaders (MIG) | LW | 15 | 8 | 2 | 10 | 2 | 6 | 0 | 26 | 51 | 13 | 15 | 15.69% | 1 | 13.53 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 30.77% | 0 | 1 | 0.67 | 0 | 0 | 0.80 | |||
| 14 | Madden Poile | Crusaders (MIG) | C | 46 | 6 | 3 | 9 | -5 | 12 | 10 | 43 | 75 | 23 | 47 | 8.00% | 1 | 9.29 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 57.87% | 0 | 0 | 0.20 | 0 | 3 | 0.24 | |||
| 15 | Codey Melnuk | Crusaders (MIG) | LW | 12 | 7 | 2 | 9 | -3 | 0 | 0 | 30 | 47 | 11 | 34 | 14.89% | 3 | 18.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 37.50% | 0 | 0 | 0.75 | 0 | 0 | 0.89 | |||
| 16 | Sergey Yadrikhinsky | Crusaders (MIG) | RW | 48 | 2 | 7 | 9 | -7 | 28 | 10 | 79 | 25 | 5 | 14 | 8.00% | 13 | 10.61 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0 | 1 | 45.45% | 0 | 0 | 0.19 | 1 | 1 | 0.05 | |||
| 17 | Mathieu Taker | Crusaders (MIG) | D | 41 | 1 | 8 | 9 | -4 | 37 | 25 | 31 | 19 | 7 | 10 | 5.26% | 21 | 14.32 | 1 | 0 | 1 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.02 | |||
| 18 | Dale Vacher | Crusaders (MIG) | RW | 25 | 3 | 5 | 8 | -7 | 8 | 0 | 18 | 55 | 18 | 44 | 5.45% | 7 | 18.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.62% | 0 | 0 | 0.32 | 0 | 0 | 0.29 | |||
| 19 | Garrick Lord | Crusaders (MIG) | LW | 23 | 3 | 4 | 7 | -7 | 6 | 0 | 14 | 42 | 15 | 20 | 7.14% | 6 | 11.48 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 36.90% | 0 | 0 | 0.30 | 0 | 0 | 0.23 | |||
| 20 | Po Gang-Seok | Crusaders (MIG) | RW | 16 | 2 | 4 | 6 | 1 | 0 | 0 | 9 | 23 | 9 | 13 | 8.70% | 4 | 13.43 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.42 | |||
| 21 | Alexander Zofka | Crusaders (MIG) | D | 11 | 0 | 3 | 3 | -4 | 7 | 5 | 10 | 5 | 2 | 4 | 0.00% | 11 | 19.21 | 0 | 1 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 1 | 0.03 | |||
| 22 | Hans Thackwray | Crusaders (MIG) | D | 14 | 0 | 2 | 2 | -5 | 17 | 15 | 20 | 20 | 10 | 12 | 0.00% | 21 | 26.37 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | -0.03 | |||
| 23 | Reuben Penttinen | Crusaders (MIG) | D | 12 | 0 | 0 | 0 | -7 | 0 | 0 | 1 | 4 | 0 | 1 | 0.00% | 13 | 15.88 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.16 | |||
| 24 | Kerby Shapley | Crusaders (MIG) | D | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 1 | 9.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.11 | |||
| Team Total or Average | 717 | 108 | 193 | 301 | -9 | 492 | 270 | 781 | 1190 | 405 | 720 | 9.08% | 428 | 15.98 | 15 | 33 | 48 | 437 | 2 | 2 | 4 | 660 | 13 | 5 | 49.53% | 1900 | 293 | 321 | 0 | 2 | 0.53 | 3 | 12 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Gennady Lashkin | Crusaders (MIG) | 27 | 12 | 10 | 3 | 0.891 | 3.53 | 1546 | 2 | 0 | 91 | 834 | 407 | 1 | 1 | 0.000 | 0 | 26 | 7 | 1 | 0 | 1 |
| 2 | Niko-Markus Hautamaa | Crusaders (MIG) | 10 | 8 | 0 | 2 | 0.931 | 2.14 | 616 | 0 | 1 | 22 | 317 | 190 | 1 | 0 | 0.857 | 7 | 10 | 11 | 3 | 1 | 1 |
| 3 | Jim Gloeckner | Crusaders (MIG) | 11 | 5 | 4 | 1 | 0.885 | 3.92 | 536 | 0 | 0 | 35 | 304 | 169 | 3 | 0 | 0.667 | 3 | 10 | 16 | 0 | 1 | 0 |
| 4 | Bernhard Ernst | Crusaders (MIG) | 2 | 0 | 1 | 1 | 0.853 | 5.94 | 101 | 0 | 0 | 10 | 68 | 36 | 0 | 0 | 0.000 | 0 | 2 | 8 | 0 | 0 | 0 |
| Team Total or Average | 50 | 25 | 15 | 7 | 0.896 | 3.39 | 2801 | 2 | 1 | 158 | 1523 | 802 | 5 | 1 | 0.800 | 10 | 48 | 42 | 4 | 2 | 2 |
| Player Name | POS | Age | Cap Hit | 5-6 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Abraham Crona | C | 18 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Alexander Zofka | D | 22 | 713,000$ | 713,000$ | 713,000$ | ||||||
Benni Gauss | LW | 18 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Bernhard Ernst | G | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
Codey Melnuk | LW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Dale Vacher | RW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Donovan Valcourt ![]() | D | 25 | 1,408,000$ | 1,408,000$ | 1,408,000$ | ||||||
Florentin Wehrle | LW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Garrick Lord | LW | 21 | 900,000$ | 900,000$ | 900,000$ | ||||||
Gennady Lashkin | G | 21 | 900,000$ | 900,000$ | |||||||
Hans Thackwray | D | 21 | 1,022,000$ | 1,022,000$ | 1,022,000$ | ||||||
Jensen Leduc | RW | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jim Gloeckner ![]() | G | 27 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Jovin Coish ![]() | D | 31 | 1,193,087$ | 1,193,087$ | |||||||
Kerby Shapley ![]() | D | 32 | 1,899,999$ | 1,899,999$ | 1,899,999$ | 1,899,999$ | 1,899,999$ | ||||
Lucien Rossall ![]() | D | 33 | 1,630,843$ | 1,630,843$ | |||||||
Madden Poile | C | 23 | 820,000$ | 820,000$ | 820,000$ | 820,000$ | 820,000$ | ||||
Martin Johansen | D | 18 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Martti-Veikko Rotsa | C | 23 | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | |||
Mathieu Taker | D | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Niko-Markus Hautamaa | G | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Olli Wilson | LW | 23 | 844,507$ | 844,507$ | 844,507$ | 844,507$ | |||||
Piers Flemming | C | 20 | 800,000$ | 800,000$ | 800,000$ | ||||||
Po Gang-Seok | RW | 23 | 725,000$ | 725,000$ | 725,000$ | 725,000$ | 725,000$ | 725,000$ | |||
Reuben Penttinen ![]() | D | 28 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | |||||
Robert Friend | LW | 23 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | |||
Sergey Yadrikhinsky | RW | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
Sidney Sittler ![]() | D | 31 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ |
| 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 31 | 72 | 60 | 9 | 37 | 487 | 541 | 545 | 56 | 37 | 19 | 9 | 19 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 50.0% | 8.1% | 89.2% | 97.3 | Unlucky |
| 2 | Jacks | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 31 | 72 | 60 | 9 | 53 | 487 | 541 | 545 | 56 | 68 | 20 | 18 | 44 | 1 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 58.3% | 13.2% | 89.7% | 102.9 | FUN |
| 3 | Rampage | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 18 | 29 | 0 | 0 | 31 | 72 | 60 | 9 | 96 | 487 | 541 | 545 | 56 | 100 | 26 | 27 | 61 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 66.7% | 11.5% | 93.0% | 104.5 | LUCKY |
| 4 | Kings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 31 | 72 | 60 | 9 | 34 | 487 | 541 | 545 | 56 | 38 | 7 | 29 | 29 | 7 | 4 | 57.14% | 2 | 1 | 50.00% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 40.0% | 17.6% | 89.5% | 107.1 | FUN |
| 5 | Comets | 4 | 0 | 1 | 0 | 1 | 2 | 0 | 0 | 12 | 15 | -3 | 4 | 0.500 | 12 | 20 | 32 | 0 | 0 | 31 | 72 | 60 | 9 | 146 | 487 | 541 | 545 | 56 | 131 | 40 | 49 | 89 | 2 | 1 | 50.00% | 12 | 2 | 83.33% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 45.8% | 8.2% | 88.5% | 96.8 | Unlucky |
| 6 | Bulldogs | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 31 | 72 | 60 | 9 | 91 | 487 | 541 | 545 | 56 | 70 | 25 | 15 | 46 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 50.0% | 6.6% | 91.4% | 98.0 | DULL |
| 7 | Rock | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 1.000 | 12 | 20 | 32 | 0 | 0 | 31 | 72 | 60 | 9 | 104 | 487 | 541 | 545 | 56 | 93 | 19 | 35 | 76 | 12 | 5 | 41.67% | 5 | 2 | 60.00% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 58.3% | 11.5% | 92.5% | 104.0 | LUCKY |
| 8 | Jazz | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 2 | 9 | 4 | 1.000 | 11 | 19 | 30 | 0 | 1 | 31 | 72 | 60 | 9 | 60 | 487 | 541 | 545 | 56 | 33 | 12 | 24 | 66 | 6 | 4 | 66.67% | 2 | 1 | 50.00% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 87.5% | 18.3% | 93.9% | 112.3 | LUCKY |
| 9 | Hornets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 31 | 72 | 60 | 9 | 60 | 487 | 541 | 545 | 56 | 64 | 23 | 29 | 45 | 1 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 25.0% | 5.0% | 81.3% | 86.3 | Unlucky |
| 10 | Wolfpack | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 31 | 72 | 60 | 9 | 31 | 487 | 541 | 545 | 56 | 38 | 15 | 16 | 30 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 25.0% | 9.7% | 89.5% | 99.2 | FUN |
| 11 | Vipers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 31 | 72 | 60 | 9 | 71 | 487 | 541 | 545 | 56 | 64 | 27 | 17 | 48 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 1 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 37.5% | 8.5% | 84.4% | 92.8 | Unlucky |
| 12 | Devils | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 31 | 72 | 60 | 9 | 26 | 487 | 541 | 545 | 56 | 32 | 4 | 46 | 29 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 30.0% | 11.5% | 75.0% | 86.5 | FUN |
| 13 | Guppies | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 6 | 9 | 0 | 0 | 31 | 72 | 60 | 9 | 60 | 487 | 541 | 545 | 56 | 69 | 17 | 24 | 46 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 50.0% | 5.0% | 95.7% | 100.7 | DULL |
| 14 | Stingers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 31 | 72 | 60 | 9 | 52 | 487 | 541 | 545 | 56 | 58 | 20 | 28 | 42 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 45.5% | 9.6% | 89.7% | 99.3 | FUN |
| 15 | Schooners | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 11 | 16 | -5 | 3 | 0.375 | 11 | 19 | 30 | 1 | 0 | 31 | 72 | 60 | 9 | 120 | 487 | 541 | 545 | 56 | 134 | 59 | 56 | 89 | 5 | 1 | 20.00% | 13 | 3 | 76.92% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 43.5% | 9.2% | 88.1% | 97.2 | FUN |
| 16 | Hydra | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 15 | 18 | -3 | 2 | 0.333 | 15 | 23 | 38 | 0 | 0 | 31 | 72 | 60 | 9 | 110 | 487 | 541 | 545 | 56 | 94 | 24 | 55 | 62 | 8 | 3 | 37.50% | 5 | 3 | 40.00% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 44.4% | 13.6% | 80.9% | 94.5 | FUN |
| 17 | Phantoms | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 1.000 | 12 | 18 | 30 | 0 | 0 | 31 | 72 | 60 | 9 | 77 | 487 | 541 | 545 | 56 | 83 | 21 | 16 | 54 | 7 | 3 | 42.86% | 3 | 1 | 66.67% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 56.3% | 15.6% | 90.4% | 105.9 | FUN |
| 18 | Spartans | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 15 | 8 | 7 | 5 | 0.625 | 15 | 23 | 38 | 0 | 0 | 31 | 72 | 60 | 9 | 138 | 487 | 541 | 545 | 56 | 128 | 46 | 69 | 78 | 3 | 2 | 66.67% | 7 | 1 | 85.71% | 1 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 65.0% | 10.9% | 93.8% | 104.6 | LUCKY |
| 19 | Northmen | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 4 | 0.667 | 12 | 17 | 29 | 0 | 0 | 31 | 72 | 60 | 9 | 100 | 487 | 541 | 545 | 56 | 92 | 26 | 33 | 47 | 4 | 1 | 25.00% | 9 | 3 | 66.67% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 61.1% | 12.0% | 89.1% | 101.1 | FUN |
| 20 | Yeti | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 31 | 72 | 60 | 9 | 35 | 487 | 541 | 545 | 56 | 31 | 7 | 16 | 24 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 0.0% | 2.9% | 87.1% | 90.0 | Unlucky |
| 21 | Wild Wings | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 4 | 8 | 6 | 1.000 | 12 | 16 | 28 | 0 | 0 | 31 | 72 | 60 | 9 | 111 | 487 | 541 | 545 | 56 | 101 | 41 | 45 | 67 | 4 | 1 | 25.00% | 10 | 1 | 90.00% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 78.6% | 10.8% | 96.0% | 106.9 | LUCKY |
| _Vs Division | 10 | 3 | 4 | 0 | 1 | 4 | 0 | 0 | 30 | 38 | -8 | 12 | 0.600 | 30 | 48 | 78 | 0 | 0 | 31 | 72 | 60 | 9 | 343 | 487 | 541 | 545 | 56 | 347 | 101 | 118 | 234 | 13 | 5 | 38.46% | 29 | 7 | 75.86% | 0 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 44.6% | 8.7% | 89.0% | 97.8 | Unlucky | |
| _Vs Conference | 33 | 13 | 8 | 0 | 4 | 5 | 2 | 1 | 123 | 105 | 18 | 44 | 0.667 | 123 | 192 | 315 | 1 | 0 | 31 | 72 | 60 | 9 | 1145 | 487 | 541 | 545 | 56 | 1084 | 347 | 428 | 711 | 61 | 19 | 31.15% | 79 | 19 | 75.95% | 1 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 54.7% | 10.7% | 90.3% | 101.1 | FUN | |
| _Since Last GM Reset | 48 | 18 | 15 | 0 | 4 | 7 | 2 | 2 | 169 | 163 | 6 | 57 | 0.594 | 169 | 265 | 434 | 1 | 1 | 31 | 72 | 60 | 9 | 1612 | 487 | 541 | 545 | 56 | 1558 | 498 | 656 | 1091 | 88 | 31 | 35.23% | 113 | 31 | 72.57% | 2 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 51.1% | 10.5% | 89.5% | 100.0 | FUN | |
| Total | 48 | 18 | 15 | 0 | 4 | 7 | 2 | 2 | 169 | 163 | 6 | 57 | 0.594 | 169 | 265 | 434 | 1 | 1 | 31 | 72 | 60 | 9 | 1612 | 487 | 541 | 545 | 56 | 1558 | 498 | 656 | 1091 | 88 | 31 | 35.23% | 113 | 31 | 72.57% | 2 | 546 | 1056 | 51.70% | 537 | 1038 | 51.73% | 408 | 754 | 54.11% | 1002 | 587 | 1076 | 440 | 850 | 406 | 51.1% | 10.5% | 89.5% | 100.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 20 |
| Neutral Zone | 17 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1056 |
| Neutral Zone Start | 754 |
| Defensive Zone Start | 1038 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1491 |
| Faceoffs Lost | 1357 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.1 | 9.57 |
| 2nd Period | 21.4 | 20.31 |
| 3rd Period | 32.8 | 30.68 |
| Overtime | 33.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 3.4 | 2.67 |
| Overtime | 3.6 | 2.83 |
| Even Strenght Goal | 135 |
|---|---|
| PP Goal | 31 |
| PK Goal | 2 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 13 | 11 |
| Lost | 7 | 8 |
| Overtime Lost | 3 | 6 |
| PP Attempt | 88 |
|---|---|
| PP Goal | 31 |
| PK Attempt | 113 |
| PK Goal Against | 31 |
| Home | |
|---|---|
| Shots For | 33.6 |
| Shots Against | 32.5 |
| Goals For | 3.5 |
| Goals Against | 3.4 |
| Hits | 22.7 |
| Shots Blocked | 10.4 |
| Pim | 13.7 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,395,644$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Connecticut | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 43432 | 21640 | |||
| Attendance PCT | 94.42% | 94.09% | 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 |
| 17 | 2829 - 94.31% | 84,216$ | 1,936,957$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,395,644$ | 4,395,644$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,198,011$ | 4,395,644$ | 2,198,011$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 1,431,664$ | 58 | 31,558$ | 1,861,922$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,861,922$ | 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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