| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 77 | 46 | 21 | 10 | 102 |
GM: Tim Karutz Season 4 GM of the year |
League Rank:3rd | Arena: Syracuse Arena |
| Conference: Eastern Conference | Conference Rank:2nd | Capacity:3,000 |
| Division: East Coast Division | Division Rank:2nd | Total Player Salaries:3,147,718$ |
| Captain: Pierre-Anthony Comrie | Last 10: 7-1-0![]() |
|
| Coach: Dave Gonzalez | Home: 19-11-2 | |
| All-Time Record: 154 W - 128 L - 38 OTL | Away: 16-10-8 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Angelo Bonneau (R) | 66 | C | 100.00 | 40 | 61 | 68 | 95 | 68 | 68 | 62 | 77 | 91 | 70 | 90 | 95 | 43 | 50 | 64 | 81 | 50 | 76 | 20 | 1,000,000$/3yrs | |||
Quincy Dagenais | 76 | C | 100.00 | 62 | 59 | 82 | 89 | 66 | 71 | 89 | 78 | 79 | 80 | 51 | 79 | 46 | 92 | 66 | 22 | 50 | 75 | 30 | 905,325$/2yrs | |||
Pierre-Anthony Comrie (C) | 54 | RW | 100.00 | 65 | 36 | 78 | 62 | 68 | 81 | 68 | 89 | 69 | 71 | 63 | 99 | 87 | 93 | 90 | 33 | 50 | 74 | 29 | 1,224,444$/1yrs | |||
Iisakki Wallen | 11 | C | 100.00 | 33 | 57 | 97 | 80 | 76 | 95 | 94 | 84 | 91 | 40 | 80 | 56 | 84 | 43 | 46 | 7 | 50 | 74 | 35 | 1,144,411$/1yrs | |||
Wendell Sarrazin | 52 | LW | 100.00 | 64 | 62 | 61 | 92 | 92 | 76 | 72 | 75 | 80 | 54 | 72 | 68 | 47 | 50 | 56 | 33 | 50 | 73 | 28 | 1,444,444$/2yrs | |||
Jessy Soucy | 74 | LW | 100.00 | 41 | 52 | 99 | 87 | 49 | 94 | 74 | 75 | 71 | 86 | 38 | 83 | 95 | 83 | 51 | 47 | 50 | 73 | 27 | 1,644,444$/2yrs | |||
Alex Kessell | 24 | RW | 100.00 | 52 | 57 | 57 | 95 | 75 | 90 | 53 | 91 | 67 | 54 | 56 | 96 | 36 | 53 | 40 | 62 | 50 | 72 | 24 | 700,000$/1yrs | |||
Ballard Winston | 57 | LW | 100.00 | 85 | 63 | 76 | 93 | 78 | 63 | 67 | 79 | 48 | 56 | 58 | 96 | 37 | 40 | 51 | 54 | 50 | 72 | 25 | 1,993,444$/2yrs | |||
Karl Lundkvist | 23 | C | 100.00 | 47 | 40 | 96 | 87 | 51 | 53 | 92 | 85 | 87 | 58 | 37 | 93 | 84 | 34 | 55 | 29 | 50 | 70 | 31 | 794,000$/1yrs | |||
Helmar Andren (R) | 30 | LW | 100.00 | 84 | 63 | 65 | 75 | 34 | 79 | 57 | 87 | 54 | 83 | 72 | 58 | 29 | 75 | 57 | 57 | 50 | 69 | 23 | 1,344,444$/3yrs | |||
Valentins Grava | 28 | LW | 100.00 | 61 | 51 | 72 | 85 | 25 | 81 | 40 | 78 | 81 | 80 | 50 | 85 | 89 | 61 | 41 | 23 | 50 | 67 | 32 | 867,504$/1yrs | |||
Daine Finley | 10 | RW | 100.00 | 40 | 57 | 60 | 85 | 35 | 53 | 62 | 91 | 55 | 35 | 76 | 89 | 59 | 85 | 66 | 57 | 50 | 62 | 24 | 795,444$/1yrs | |||
Jarl Molo (A) | 85 | D | 100.00 | 37 | 52 | 85 | 90 | 83 | 89 | 82 | 61 | 25 | 55 | 52 | 99 | 65 | 41 | 76 | 25 | 50 | 75 | 31 | 1,884,444$/2yrs | |||
Eli Pajaczkowski | 38 | D | 100.00 | 41 | 55 | 90 | 90 | 68 | 76 | 94 | 91 | 25 | 49 | 59 | 99 | 72 | 95 | 60 | 43 | 50 | 75 | 26 | 1,917,444$/2yrs | |||
Simon-Pierre Dalgarno (R) | 75 | D | 100.00 | 71 | 28 | 90 | 82 | 87 | 62 | 59 | 88 | 25 | 73 | 68 | 73 | 28 | 66 | 72 | 65 | 50 | 72 | 22 | 800,000$/2yrs | |||
Johnny Weinberger (A) | 78 | D | 100.00 | 65 | 70 | 77 | 76 | 70 | 49 | 47 | 76 | 25 | 80 | 61 | 89 | 48 | 98 | 95 | 1 | 50 | 70 | 37 | 1,044,000$/1yrs | |||
Rudolf Markelj (R) | 49 | D | 100.00 | 68 | 55 | 76 | 63 | 58 | 81 | 69 | 80 | 70 | 76 | 65 | 82 | 58 | 61 | 73 | 86 | 50 | 70 | 21 | 800,000$/3yrs | |||
Valery Potemin | 87 | D | 100.00 | 28 | 59 | 74 | 92 | 57 | 98 | 64 | 98 | 25 | 81 | 33 | 75 | 75 | 74 | 97 | 1 | 50 | 69 | 38 | 1,444,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Pavlo Benard | 81 | C | 90.84 | 43 | 67 | 80 | 63 | 69 | 89 | 51 | 86 | 67 | 89 | 60 | 94 | 39 | 88 | 54 | 2 | 50 | 74 | 37 | 1,594,000$/1yrs | |||
Anton Visinescu | 45 | RW | 94.83 | 53 | 69 | 70 | 80 | 71 | 67 | 60 | 88 | 61 | 90 | 56 | 94 | 72 | 37 | 65 | 1 | 50 | 74 | 39 | 1,094,000$/1yrs | |||
Sarno Huopio | 25 | LW | 100.00 | 93 | 68 | 66 | 86 | 64 | 64 | 84 | 99 | 70 | 72 | 72 | 46 | 90 | 67 | 56 | 13 | 50 | 74 | 32 | 1,000,025$/1yrs | |||
Mikhail Khanov | 33 | C | 100.00 | 48 | 59 | 77 | 76 | 33 | 82 | 49 | 88 | 77 | 87 | 63 | 47 | 36 | 72 | 59 | 36 | 50 | 67 | 29 | 724,533$/2yrs | |||
Darryl Feltrin | 8 | RW | 100.00 | 54 | 68 | 67 | 78 | 69 | 67 | 48 | 86 | 64 | 59 | 40 | 95 | 71 | 87 | 91 | 34 | 50 | 66 | 28 | 804,444$/1yrs | |||
Melker Lennartsson | 77 | D | 91.29 | 43 | 37 | 86 | 84 | 67 | 83 | 72 | 69 | 25 | 73 | 61 | 99 | 35 | 65 | 53 | 43 | 50 | 73 | 26 | 782,000$/1yrs | |||
Kaj Sandell | 2 | D | 100.00 | 78 | 65 | 62 | 90 | 71 | 63 | 50 | 78 | 25 | 53 | 78 | 82 | 99 | 36 | 46 | 1 | 50 | 70 | 39 | 1,444,000$/1yrs | |||
Paxton Nocera | 72 | D | 100.00 | 56 | 68 | 69 | 93 | 33 | 90 | 48 | 98 | 25 | 48 | 56 | 86 | 63 | 68 | 61 | 2 | 50 | 66 | 35 | 1,384,000$/1yrs | |||
Rashit Musayev (R) | 68 | D | 100.00 | 55 | 49 | 54 | 95 | 55 | 92 | 51 | 88 | 25 | 61 | 35 | 77 | 61 | 90 | 49 | 59 | 50 | 66 | 23 | 1,071,968$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Juho-Matti Nykvist | 9 | 100.00 | 54 | 83 | 56 | 91 | 82 | 68 | 85 | 87 | 96 | 59 | 90 | 74 | 83 | 73 | 50 | 76 | 22 | 800,000$/2yrs |
Adrian Haslar | 88 | 100.00 | 75 | 58 | 79 | 99 | 67 | 81 | 85 | 72 | 93 | 42 | 90 | 56 | 67 | 80 | 50 | 75 | 20 | 1,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
Hans Fabricius | 60 | 100.00 | 47 | 82 | 59 | 85 | 76 | 68 | 79 | 64 | 63 | 86 | 81 | 58 | 30 | 64 | 50 | 71 | 23 | 1,500,460$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Dave Gonzalez | 65 | 77 | 81 | 73 | 85 | 76 | 43 | USA | 39 | 4 | 125,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Tim Karutz |
|---|
| 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 | Angelo Bonneau | Comets (NOR) | C | 69 | 28 | 53 | 81 | 11 | 47 | 35 | 52 | 217 | 75 | 132 | 12.90% | 31 | 19.11 | 8 | 13 | 21 | 0 | 0 | 0 | 30 | 3 | 1 | 54.15% | 0 | 0 | 1.17 | 0 | 0 | 1.07 | |||
| 2 | Helmar Andren | Comets (NOR) | LW | 73 | 32 | 32 | 64 | -7 | 58 | 30 | 196 | 189 | 78 | 121 | 16.93% | 28 | 16.10 | 7 | 12 | 19 | 0 | 0 | 0 | 0 | 2 | 2 | 41.98% | 0 | 0 | 0.88 | 0 | 0 | 0.77 | |||
| 3 | Pavlo Benard | Comets (NOR) | C | 74 | 12 | 28 | 40 | -11 | 35 | 35 | 43 | 135 | 41 | 88 | 8.89% | 25 | 15.76 | 1 | 9 | 10 | 0 | 0 | 0 | 33 | 2 | 2 | 47.29% | 0 | 0 | 0.54 | 0 | 0 | 0.40 | |||
| 4 | Alex Kessell | Comets (NOR) | RW | 76 | 19 | 19 | 38 | -6 | 11 | 5 | 124 | 181 | 57 | 128 | 10.50% | 23 | 13.13 | 1 | 1 | 2 | 0 | 0 | 0 | 34 | 6 | 0 | 31.58% | 0 | 0 | 0.50 | 2 | 9 | 0.57 | |||
| 5 | Valentins Grava | Comets (NOR) | LW | 75 | 21 | 17 | 38 | 7 | 9 | 5 | 149 | 175 | 63 | 94 | 12.00% | 31 | 15.60 | 3 | 1 | 4 | 1 | 0 | 1 | 30 | 4 | 2 | 55.88% | 0 | 0 | 0.51 | 1 | 1 | 0.64 | |||
| 6 | Valery Potemin | Comets (NOR) | D | 57 | 5 | 33 | 38 | 10 | 19 | 15 | 12 | 105 | 33 | 37 | 4.76% | 57 | 20.60 | 4 | 3 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.63 | |||
| 7 | Wendell Sarrazin | Comets (NOR) | LW | 73 | 26 | 11 | 37 | 21 | 75 | 55 | 175 | 191 | 47 | 115 | 13.61% | 24 | 16.71 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 5 | 47.14% | 1 | 1 | 0.51 | 0 | 0 | 0.59 | |||
| 8 | Pierre-Anthony Comrie | Comets (NOR) | RW | 77 | 17 | 19 | 36 | 17 | 8 | 0 | 124 | 163 | 56 | 99 | 10.43% | 30 | 14.35 | 0 | 0 | 0 | 0 | 1 | 1 | 17 | 4 | 0 | 39.29% | 0 | 0 | 0.47 | 6 | 9 | 0.62 | |||
| 9 | Iisakki Wallen | Comets (NOR) | C | 77 | 12 | 16 | 28 | 17 | 19 | 5 | 10 | 134 | 38 | 83 | 8.96% | 25 | 14.89 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 53.49% | 0 | 0 | 0.36 | 2 | 4 | 0.45 | |||
| 10 | Anton Visinescu | Comets (NOR) | RW | 51 | 13 | 12 | 25 | -18 | 32 | 20 | 53 | 119 | 46 | 76 | 10.92% | 16 | 15.07 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 3 | 2 | 32.35% | 0 | 0 | 0.49 | 0 | 0 | 0.35 | |||
| 11 | Simon-Pierre Dalgarno | Comets (NOR) | D | 72 | 3 | 21 | 24 | 1 | 5 | 5 | 109 | 87 | 47 | 38 | 3.45% | 73 | 19.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.39 | |||
| 12 | Jessy Soucy | Comets (NOR) | LW | 53 | 5 | 17 | 22 | -3 | 0 | 0 | 18 | 65 | 23 | 54 | 7.69% | 18 | 11.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 60.00% | 1 | 0 | 0.42 | 2 | 7 | 0.39 | |||
| 13 | Jarl Molo | Comets (NOR) | D | 77 | 0 | 20 | 20 | 9 | 29 | 25 | 19 | 59 | 24 | 33 | 0.00% | 92 | 19.38 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.25 | |||
| 14 | Eli Pajaczkowski | Comets (NOR) | D | 61 | 1 | 17 | 18 | 14 | 32 | 20 | 25 | 72 | 36 | 32 | 1.39% | 66 | 20.11 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.33 | |||
| 15 | Daine Finley | Comets (NOR) | RW | 38 | 10 | 7 | 17 | 17 | 14 | 10 | 27 | 73 | 27 | 43 | 13.70% | 10 | 15.35 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 40.74% | 1 | 0 | 0.45 | 0 | 0 | 0.60 | |||
| 16 | Karl Lundkvist | Comets (NOR) | C | 73 | 6 | 11 | 17 | -1 | 10 | 10 | 44 | 76 | 30 | 46 | 7.89% | 17 | 12.22 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 0 | 49.80% | 0 | 0 | 0.23 | 0 | 0 | 0.24 | |||
| 17 | Rudolf Markelj | Comets (NOR) | D | 77 | 3 | 13 | 16 | -6 | 29 | 25 | 169 | 82 | 34 | 29 | 3.66% | 78 | 20.86 | 1 | 2 | 3 | 0 | 1 | 1 | 36 | 1 | 1 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.21 | |||
| 18 | Sarno Huopio | Comets (NOR) | LW | 30 | 5 | 8 | 13 | -5 | 2 | 0 | 75 | 60 | 23 | 58 | 8.33% | 5 | 12.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 0 | 0 | 0.43 | 1 | 6 | 0.51 | |||
| 19 | Melker Lennartsson | Comets (NOR) | D | 73 | 0 | 12 | 12 | -3 | 0 | 0 | 30 | 66 | 38 | 35 | 0.00% | 84 | 19.39 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.22 | |||
| 20 | Quincy Dagenais | Comets (NOR) | C | 17 | 4 | 5 | 9 | -8 | 5 | 5 | 23 | 40 | 7 | 16 | 10.00% | 8 | 16.56 | 2 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 47.02% | 0 | 0 | 0.53 | 0 | 0 | 0.38 | |||
| 21 | Mikhail Khanov | Comets (NOR) | C | 3 | 2 | 1 | 3 | 0 | 5 | 5 | 2 | 5 | 1 | 2 | 40.00% | 1 | 18.94 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 37.93% | 0 | 0 | 1.00 | 0 | 0 | 0.55 | |||
| 22 | Johnny Weinberger | Comets (NOR) | D | 25 | 0 | 3 | 3 | -8 | 29 | 15 | 36 | 23 | 12 | 9 | 0.00% | 18 | 18.07 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | -0.10 | |||
| 23 | Darryl Feltrin | Comets (NOR) | RW | 1 | 0 | 1 | 1 | -2 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 2 | 16.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.08 | |||
| 24 | Ballard Winston | Comets (NOR) | LW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 4.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.12 | |||
| 25 | Kaj Sandell | Comets (NOR) | D | 5 | 0 | 0 | 0 | 1 | 5 | 5 | 10 | 5 | 2 | 2 | 0.00% | 3 | 15.29 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.04 | |||
| Team Total or Average | 1309 | 224 | 376 | 600 | 46 | 478 | 330 | 1526 | 2323 | 838 | 1371 | 9.64% | 765 | 16.64 | 32 | 49 | 81 | 1164 | 1 | 2 | 3 | 303 | 36 | 16 | 50.74% | 4383 | 504 | 563 | 3 | 1 | 0.55 | 14 | 36 |
| 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 | Juho-Matti Nykvist | Comets (NOR) | 38 | 23 | 10 | 4 | 0.918 | 2.53 | 2302 | 0 | 2 | 97 | 1187 | 616 | 2 | 0 | 0.696 | 23 | 37 | 40 | 5 | 2 | 2 |
| 2 | Adrian Haslar | Comets (NOR) | 40 | 23 | 11 | 6 | 0.913 | 2.91 | 2391 | 2 | 0 | 116 | 1335 | 651 | 1 | 1 | 1.000 | 12 | 40 | 37 | 6 | 2 | 2 |
| Team Total or Average | 78 | 46 | 21 | 10 | 0.916 | 2.72 | 4693 | 2 | 2 | 213 | 2522 | 1267 | 3 | 1 | 0.800 | 35 | 77 | 77 | 11 | 4 | 4 |
| Player Name | POS | Age | Cap Hit | 5-6 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Haslar | G | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Alex Kessell | RW | 24 | 700,000$ | 700,000$ | |||||||
Angelo Bonneau | C | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Anton Visinescu ![]() | RW | 39 | 1,094,000$ | 1,094,000$ | |||||||
Ballard Winston ![]() | LW | 25 | 1,993,444$ | 1,993,444$ | 1,993,444$ | ||||||
Daine Finley | RW | 24 | 795,444$ | 795,444$ | |||||||
Darryl Feltrin ![]() | RW | 28 | 804,444$ | 804,444$ | |||||||
Eli Pajaczkowski ![]() | D | 26 | 1,917,444$ | 1,917,444$ | 1,917,444$ | ||||||
Hans Fabricius | G | 23 | 1,500,460$ | 1,500,460$ | 1,500,460$ | ||||||
Helmar Andren | LW | 23 | 1,344,444$ | 1,344,444$ | 1,344,444$ | 1,344,444$ | |||||
Iisakki Wallen ![]() | C | 35 | 1,144,411$ | 1,144,411$ | |||||||
Jarl Molo ![]() | D | 31 | 1,884,444$ | 1,884,444$ | 1,884,444$ | ||||||
Jessy Soucy ![]() | LW | 27 | 1,644,444$ | 1,644,444$ | 1,644,444$ | ||||||
Johnny Weinberger ![]() | D | 37 | 1,044,000$ | 1,044,000$ | |||||||
Juho-Matti Nykvist | G | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Kaj Sandell ![]() | D | 39 | 1,444,000$ | 1,444,000$ | |||||||
Karl Lundkvist ![]() | C | 31 | 794,000$ | 794,000$ | |||||||
Melker Lennartsson ![]() | D | 26 | 782,000$ | 782,000$ | |||||||
Mikhail Khanov ![]() | C | 29 | 724,533$ | 724,533$ | 724,533$ | ||||||
Pavlo Benard ![]() | C | 37 | 1,594,000$ | 1,594,000$ | |||||||
Paxton Nocera ![]() | D | 35 | 1,384,000$ | 1,384,000$ | |||||||
Pierre-Anthony Comrie ![]() | RW | 29 | 1,224,444$ | 1,224,444$ | |||||||
Quincy Dagenais ![]() | C | 30 | 905,325$ | 905,325$ | 905,325$ | ||||||
Rashit Musayev | D | 23 | 1,071,968$ | 1,071,968$ | 1,071,968$ | ||||||
Rudolf Markelj | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Sarno Huopio ![]() | LW | 32 | 1,000,025$ | 1,000,025$ | |||||||
Simon-Pierre Dalgarno | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Valentins Grava ![]() | LW | 32 | 867,504$ | 867,504$ | |||||||
Valery Potemin ![]() | D | 38 | 1,444,000$ | 1,444,000$ | |||||||
Wendell Sarrazin ![]() | LW | 28 | 1,444,444$ | 1,444,444$ | 1,444,444$ |
| 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 57 | 110 | 80 | 18 | 64 | 749 | 871 | 894 | 52 | 79 | 34 | 20 | 41 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 46.7% | 12.5% | 89.9% | 102.4 | FUN |
| 2 | Jacks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 57 | 110 | 80 | 18 | 48 | 749 | 871 | 894 | 52 | 58 | 24 | 37 | 57 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 50.0% | 8.3% | 93.1% | 101.4 | DULL |
| 3 | Rampage | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 11 | 4 | 7 | 0.875 | 15 | 26 | 41 | 0 | 0 | 57 | 110 | 80 | 18 | 136 | 749 | 871 | 894 | 52 | 148 | 39 | 32 | 98 | 10 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 57.7% | 11.0% | 92.6% | 103.6 | LUCKY |
| 4 | Kings | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 57 | 110 | 80 | 18 | 69 | 749 | 871 | 894 | 52 | 54 | 23 | 5 | 45 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 63.6% | 10.1% | 92.6% | 102.7 | LUCKY |
| 5 | Wolverines | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 57 | 110 | 80 | 18 | 76 | 749 | 871 | 894 | 52 | 76 | 16 | 7 | 47 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 57.1% | 10.5% | 92.1% | 102.6 | LUCKY |
| 6 | Crusaders | 6 | 3 | 0 | 0 | 2 | 1 | 0 | 0 | 26 | 15 | 11 | 11 | 0.917 | 26 | 44 | 70 | 0 | 1 | 57 | 110 | 80 | 18 | 201 | 749 | 871 | 894 | 52 | 202 | 59 | 46 | 126 | 15 | 3 | 20.00% | 3 | 2 | 33.33% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 63.9% | 12.9% | 92.6% | 105.5 | LUCKY |
| 7 | Bulldogs | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 9 | 6 | 6 | 0.750 | 15 | 24 | 39 | 0 | 0 | 57 | 110 | 80 | 18 | 131 | 749 | 871 | 894 | 52 | 105 | 39 | 33 | 90 | 11 | 4 | 36.36% | 4 | 0 | 100.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 55.0% | 11.5% | 91.4% | 102.9 | LUCKY |
| 8 | Rock | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 10 | 19 | -9 | 1 | 0.125 | 10 | 18 | 28 | 0 | 0 | 57 | 110 | 80 | 18 | 124 | 749 | 871 | 894 | 52 | 128 | 44 | 22 | 83 | 13 | 2 | 15.38% | 6 | 1 | 83.33% | 1 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 30.8% | 8.1% | 85.2% | 93.2 | Unlucky |
| 9 | Auroras | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 1 | 0.250 | 7 | 11 | 18 | 0 | 0 | 57 | 110 | 80 | 18 | 69 | 749 | 871 | 894 | 52 | 63 | 24 | 10 | 40 | 7 | 1 | 14.29% | 0 | 0 | 0.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 37.5% | 10.1% | 84.1% | 94.3 | FUN |
| 10 | Jazz | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 6 | 3 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 57 | 110 | 80 | 18 | 73 | 749 | 871 | 894 | 52 | 45 | 28 | 26 | 42 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 58.3% | 12.3% | 86.7% | 99.0 | FUN |
| 11 | Hornets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 57 | 110 | 80 | 18 | 74 | 749 | 871 | 894 | 52 | 75 | 18 | 5 | 43 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 61.5% | 13.5% | 93.3% | 106.8 | LUCKY |
| 12 | Wolfpack | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 57 | 110 | 80 | 18 | 54 | 749 | 871 | 894 | 52 | 68 | 28 | 15 | 30 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 66.7% | 9.3% | 97.1% | 106.3 | LUCKY |
| 13 | Vipers | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 57 | 110 | 80 | 18 | 73 | 749 | 871 | 894 | 52 | 67 | 27 | 2 | 51 | 2 | 2 | 100.00% | 1 | 1 | 0.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 53.8% | 12.3% | 89.6% | 101.9 | FUN |
| 14 | Devils | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 57 | 110 | 80 | 18 | 70 | 749 | 871 | 894 | 52 | 80 | 30 | 2 | 40 | 5 | 2 | 40.00% | 1 | 0 | 100.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 41.7% | 10.0% | 91.3% | 101.3 | LUCKY |
| 15 | Guppies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 57 | 110 | 80 | 18 | 60 | 749 | 871 | 894 | 52 | 70 | 25 | 22 | 44 | 6 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 54.5% | 10.0% | 92.9% | 102.9 | LUCKY |
| 16 | Stingers | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 14 | 12 | 2 | 4 | 0.500 | 14 | 19 | 33 | 0 | 0 | 57 | 110 | 80 | 18 | 149 | 749 | 871 | 894 | 52 | 135 | 40 | 23 | 92 | 8 | 2 | 25.00% | 4 | 1 | 75.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 52.2% | 9.4% | 91.1% | 100.5 | Unlucky |
| 17 | Schooners | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 21 | 24 | -3 | 6 | 0.429 | 21 | 36 | 57 | 0 | 0 | 57 | 110 | 80 | 18 | 205 | 749 | 871 | 894 | 52 | 248 | 73 | 13 | 144 | 10 | 4 | 40.00% | 4 | 1 | 75.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 42.5% | 10.2% | 90.3% | 100.6 | FUN |
| 18 | Hydra | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.500 | 11 | 21 | 32 | 0 | 0 | 57 | 110 | 80 | 18 | 126 | 749 | 871 | 894 | 52 | 124 | 28 | 0 | 83 | 12 | 2 | 16.67% | 0 | 0 | 0.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 52.9% | 8.7% | 93.5% | 102.3 | DULL |
| 19 | Phantoms | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 4 | 7 | 8 | 1.000 | 11 | 16 | 27 | 0 | 0 | 57 | 110 | 80 | 18 | 136 | 749 | 871 | 894 | 52 | 126 | 38 | 26 | 96 | 10 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 73.3% | 8.1% | 96.8% | 104.9 | DULL |
| 20 | Spartans | 8 | 2 | 2 | 0 | 0 | 2 | 2 | 0 | 23 | 24 | -1 | 10 | 0.625 | 23 | 35 | 58 | 0 | 0 | 57 | 110 | 80 | 18 | 275 | 749 | 871 | 894 | 52 | 276 | 66 | 34 | 174 | 10 | 1 | 10.00% | 7 | 3 | 57.14% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 51.2% | 8.4% | 91.3% | 99.7 | DULL |
| 21 | Northmen | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 13 | 9 | 4 | 5 | 0.625 | 13 | 21 | 34 | 1 | 0 | 57 | 110 | 80 | 18 | 122 | 749 | 871 | 894 | 52 | 122 | 36 | 49 | 63 | 6 | 3 | 50.00% | 2 | 0 | 100.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 52.6% | 10.7% | 92.6% | 103.3 | LUCKY |
| 22 | Yeti | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 57 | 110 | 80 | 18 | 58 | 749 | 871 | 894 | 52 | 53 | 22 | 44 | 53 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 58.3% | 13.8% | 90.6% | 104.4 | FUN |
| 23 | Wild Wings | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 11 | 13 | -2 | 3 | 0.375 | 11 | 19 | 30 | 0 | 0 | 57 | 110 | 80 | 18 | 136 | 749 | 871 | 894 | 52 | 121 | 48 | 24 | 92 | 12 | 4 | 33.33% | 2 | 1 | 50.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 36.8% | 8.1% | 89.3% | 97.3 | Unlucky |
| _Vs Division | 8 | 8 | 6 | 0 | 2 | 3 | 2 | 0 | 27 | 14 | 13 | 27 | 1.688 | 27 | 42 | 69 | 0 | 0 | 57 | 110 | 80 | 18 | 270 | 749 | 871 | 894 | 52 | 271 | 81 | 53 | 183 | 19 | 2 | 10.53% | 4 | 0 | 100.00% | 0 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 64.1% | 10.0% | 94.8% | 104.8 | LUCKY | |
| _Vs Conference | 53 | 23 | 17 | 0 | 2 | 5 | 4 | 2 | 170 | 148 | 22 | 65 | 0.613 | 170 | 279 | 449 | 1 | 1 | 57 | 110 | 80 | 18 | 1741 | 749 | 871 | 894 | 52 | 1735 | 510 | 302 | 1141 | 117 | 25 | 21.37% | 36 | 9 | 75.00% | 1 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 51.1% | 9.8% | 91.5% | 101.2 | LUCKY | |
| _Since Last GM Reset | 77 | 35 | 21 | 0 | 3 | 7 | 8 | 3 | 258 | 217 | 41 | 102 | 0.662 | 258 | 424 | 682 | 1 | 2 | 57 | 110 | 80 | 18 | 2529 | 749 | 871 | 894 | 52 | 2523 | 809 | 497 | 1674 | 164 | 37 | 22.56% | 46 | 11 | 76.09% | 1 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 51.8% | 10.2% | 91.4% | 101.6 | LUCKY | |
| Total | 77 | 35 | 21 | 0 | 3 | 7 | 8 | 3 | 258 | 217 | 41 | 102 | 0.662 | 258 | 424 | 682 | 1 | 2 | 57 | 110 | 80 | 18 | 2529 | 749 | 871 | 894 | 52 | 2523 | 809 | 497 | 1674 | 164 | 37 | 22.56% | 46 | 11 | 76.09% | 1 | 854 | 1668 | 51.20% | 798 | 1556 | 51.29% | 595 | 1172 | 50.77% | 1784 | 1100 | 1577 | 642 | 1336 | 699 | 51.8% | 10.2% | 91.4% | 101.6 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 17 |
| Defensive Zone | 20 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1668 |
| Neutral Zone Start | 1172 |
| Defensive Zone Start | 1556 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2247 |
| Faceoffs Lost | 2149 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.7 | 9.57 |
| 2nd Period | 21.0 | 20.31 |
| 3rd Period | 32.6 | 30.68 |
| Overtime | 33.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.2 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 219 |
|---|---|
| PP Goal | 37 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 26 | 20 |
| Lost | 11 | 10 |
| Overtime Lost | 2 | 8 |
| PP Attempt | 164 |
|---|---|
| PP Goal | 37 |
| PK Attempt | 46 |
| PK Goal Against | 11 |
| Home | |
|---|---|
| Shots For | 32.8 |
| Shots Against | 32.8 |
| Goals For | 3.4 |
| Goals Against | 2.8 |
| Hits | 21.7 |
| Shots Blocked | 10.5 |
| Pim | 6.5 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,147,718$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Syracuse | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 73957 | 36143 | |||
| Attendance PCT | 94.82% | 92.67% | 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 |
| 1 | 2823 - 94.10% | 84,286$ | 3,287,171$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,147,718$ | 3,147,718$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,295,154$ | 3,147,718$ | 3,295,154$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 84,286$ | 11 | 22,113$ | 265,356$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 265,356$ | 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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Pavlo Benard is out for 5 days because of a Torso Injury.
Melker Lennartsson is out for 4 days because of a Bruised Right Foot Injury.
Anton Visinescu is out for 1 days because of a Groin Injury.
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