| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 27 | 16 | 8 | 3 | 35 |
GM: Tim Karutz Season 4 GM of the year |
League Rank:6th | Arena: Syracuse Arena |
| Conference: Eastern Conference | Conference Rank:3rd | Capacity:5,000 |
| Division: Atlantic | Division Rank:1st | Total Player Salaries:3,514,045$ |
| Captain: Pierre-Anthony Comrie | Last 10: 6-2-0 | |
| Coach: Dave Gonzalez | Home: 8-4-3 | |
| All-Time Record: 201 W - 150 L - 49 OTL | Away: 7-4-0 | |
| 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 | 42 | 61 | 68 | 97 | 72 | 71 | 63 | 79 | 94 | 72 | 92 | 97 | 43 | 50 | 64 | 77 | 50 | 78 | 21 | 1,000,000$/2yrs | |||
Devin Stanton (R) | 29 | RW | 100.00 | 74 | 50 | 81 | 82 | 72 | 74 | 55 | 87 | 55 | 91 | 60 | 99 | 49 | 37 | 28 | 78 | 50 | 77 | 21 | 900,000$/1yrs | |||
Giff Bradbury | 21 | LW | 100.00 | 58 | 69 | 61 | 72 | 67 | 77 | 98 | 88 | 58 | 72 | 60 | 97 | 67 | 96 | 68 | 24 | 50 | 76 | 31 | 1,328,021$/2yrs | |||
Pierre-Anthony Comrie (C) | 54 | RW | 100.00 | 66 | 36 | 78 | 62 | 68 | 83 | 70 | 88 | 69 | 71 | 63 | 99 | 87 | 93 | 90 | 29 | 50 | 75 | 30 | 1,424,054$/2yrs | |||
Quincy Dagenais | 76 | C | 100.00 | 61 | 59 | 82 | 89 | 65 | 71 | 90 | 77 | 78 | 79 | 50 | 77 | 46 | 92 | 66 | 17 | 50 | 75 | 31 | 905,325$/1yrs | |||
Mitchell Megna (R) (A) | 91 | C | 100.00 | 64 | 75 | 79 | 75 | 77 | 73 | 77 | 67 | 87 | 80 | 72 | 77 | 76 | 63 | 81 | 79 | 50 | 75 | 18 | 1,000,000$/3yrs | |||
Alexsey Omelkov (R) | 72 | LW | 100.00 | 76 | 64 | 63 | 76 | 70 | 90 | 85 | 77 | 68 | 59 | 71 | 84 | 54 | 58 | 65 | 74 | 50 | 74 | 20 | 900,000$/3yrs | |||
Shawn Ridge (R) | 14 | RW | 100.00 | 52 | 57 | 84 | 93 | 66 | 82 | 62 | 83 | 66 | 76 | 52 | 83 | 33 | 31 | 42 | 67 | 50 | 74 | 21 | 800,000$/3yrs | |||
Alex Kessell | 24 | RW | 100.00 | 53 | 57 | 57 | 95 | 76 | 93 | 55 | 91 | 67 | 55 | 56 | 97 | 36 | 53 | 40 | 57 | 50 | 73 | 25 | 1,750,000$/2yrs | |||
Corey Shugart (R) | 34 | LW | 100.00 | 78 | 59 | 53 | 92 | 59 | 70 | 96 | 85 | 56 | 58 | 84 | 60 | 68 | 67 | 68 | 68 | 50 | 73 | 21 | 800,000$/3yrs | |||
Veli Torenius (R) | 80 | C | 100.00 | 37 | 28 | 86 | 59 | 69 | 73 | 65 | 77 | 93 | 85 | 85 | 52 | 38 | 52 | 57 | 76 | 50 | 72 | 21 | 1,000,000$/3yrs | |||
Helmar Andren (R) | 30 | LW | 100.00 | 86 | 63 | 64 | 75 | 35 | 81 | 58 | 89 | 54 | 85 | 74 | 59 | 29 | 75 | 57 | 51 | 50 | 70 | 24 | 1,344,444$/2yrs | |||
Olli Colley (R) | 11 | D | 100.00 | 46 | 53 | 78 | 81 | 82 | 87 | 76 | 73 | 72 | 73 | 84 | 66 | 51 | 62 | 66 | 71 | 50 | 76 | 20 | 900,000$/3yrs | |||
Ernests Vizmanis (R) | 84 | D | 100.00 | 82 | 63 | 83 | 78 | 79 | 69 | 72 | 65 | 79 | 73 | 68 | 82 | 65 | 65 | 60 | 83 | 50 | 76 | 18 | 1,000,000$/3yrs | |||
Simon-Pierre Dalgarno (R) | 75 | D | 100.00 | 72 | 28 | 91 | 82 | 88 | 64 | 60 | 87 | 25 | 74 | 69 | 74 | 28 | 66 | 72 | 59 | 50 | 73 | 23 | 800,000$/1yrs | |||
Rudolf Markelj (R) | 49 | D | 100.00 | 70 | 55 | 76 | 63 | 59 | 84 | 71 | 80 | 70 | 76 | 66 | 82 | 58 | 61 | 73 | 83 | 50 | 71 | 22 | 800,000$/2yrs | |||
Axel Moreau (R) (A) | 35 | D | 100.00 | 68 | 53 | 94 | 61 | 53 | 99 | 59 | 91 | 25 | 65 | 74 | 66 | 94 | 41 | 85 | 79 | 50 | 71 | 21 | 800,000$/3yrs | |||
Jeny Bosiacki (R) | 2 | D | 100.00 | 50 | 36 | 67 | 91 | 58 | 68 | 95 | 63 | 25 | 75 | 51 | 74 | 76 | 74 | 41 | 75 | 50 | 69 | 21 | 800,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Wendell Sarrazin | 52 | LW | 100.00 | 66 | 62 | 60 | 92 | 93 | 78 | 73 | 75 | 80 | 53 | 73 | 69 | 47 | 50 | 56 | 29 | 50 | 74 | 29 | 1,444,444$/1yrs | |||
Jessy Soucy | 74 | LW | 100.00 | 40 | 52 | 99 | 86 | 47 | 93 | 74 | 74 | 71 | 86 | 37 | 81 | 95 | 83 | 51 | 44 | 50 | 73 | 28 | 1,644,444$/1yrs | |||
Gennady Oginsky | 39 | RW | 100.00 | 76 | 50 | 83 | 90 | 59 | 74 | 88 | 83 | 58 | 69 | 45 | 75 | 89 | 76 | 82 | 0 | 50 | 73 | 37 | 1,250,444$/1yrs | |||
Ballard Winston | 57 | LW | 100.00 | 85 | 63 | 76 | 93 | 78 | 63 | 67 | 79 | 48 | 56 | 58 | 96 | 37 | 40 | 51 | 54 | 50 | 72 | 26 | 1,993,444$/1yrs | |||
Karl Lundkvist | 23 | C | 100.00 | 46 | 40 | 95 | 86 | 49 | 53 | 93 | 84 | 86 | 58 | 36 | 92 | 84 | 34 | 55 | 24 | 50 | 69 | 32 | 850,444$/1yrs | |||
Mikhail Khanov | 33 | C | 100.00 | 48 | 59 | 77 | 76 | 33 | 82 | 49 | 88 | 77 | 87 | 63 | 47 | 36 | 72 | 59 | 36 | 50 | 67 | 30 | 724,533$/1yrs | |||
Daine Finley | 10 | RW | 100.00 | 39 | 57 | 60 | 85 | 35 | 53 | 62 | 91 | 55 | 35 | 75 | 88 | 59 | 85 | 66 | 53 | 50 | 62 | 25 | 724,010$/2yrs | |||
Leland Matyas | 22 | D | 100.00 | 90 | 56 | 74 | 84 | 64 | 86 | 64 | 81 | 25 | 92 | 74 | 71 | 78 | 40 | 67 | 0 | 50 | 79 | 37 | 1,999,999$/1yrs | |||
Jarl Molo | 85 | D | 100.00 | 36 | 52 | 84 | 90 | 82 | 89 | 83 | 60 | 25 | 56 | 51 | 99 | 65 | 41 | 76 | 21 | 50 | 75 | 32 | 1,884,444$/1yrs | |||
Rashit Musayev (R) | 68 | D | 100.00 | 55 | 49 | 54 | 95 | 55 | 92 | 51 | 88 | 25 | 61 | 35 | 77 | 61 | 90 | 49 | 59 | 50 | 66 | 24 | 1,071,968$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Juho-Matti Nykvist | 9 | 99.00 | 55 | 84 | 57 | 94 | 85 | 71 | 88 | 88 | 97 | 60 | 90 | 74 | 83 | 70 | 50 | 78 | 23 | 800,000$/1yrs |
Adrian Haslar | 88 | 99.00 | 76 | 59 | 80 | 99 | 69 | 82 | 87 | 72 | 93 | 43 | 90 | 56 | 67 | 74 | 50 | 76 | 21 | 1,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
Hans Fabricius | 60 | 100.00 | 47 | 82 | 59 | 85 | 76 | 68 | 79 | 64 | 63 | 86 | 81 | 58 | 30 | 64 | 50 | 71 | 24 | 1,500,460$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Dave Gonzalez | 65 | 79 | 83 | 74 | 86 | 76 | 39 | USA | 40 | 3 | 125,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| 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 | PPT | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Helmar Andren | Comets (NOR) | LW | 27 | 12 | 18 | 30 | 2 | 6 | 0 | 70 | 93 | 30 | 46 | 12.90% | 6 | 17.32 | 0.00 | 1 | 6 | 7 | 0 | 0 | 0 | 2 | 4 | 1 | 53.85% | 0 | 1 | 1.11 | 0 | 0 | 1.13 | ||
| 2 | Angelo Bonneau | Comets (NOR) | C | 27 | 15 | 8 | 23 | 0 | 63 | 45 | 14 | 87 | 29 | 45 | 17.24% | 11 | 17.83 | 0.00 | 4 | 2 | 6 | 0 | 0 | 0 | 17 | 1 | 1 | 56.96% | 1 | 0 | 0.85 | 0 | 0 | 0.52 | ||
| 3 | Corey Shugart | Comets (NOR) | LW | 27 | 9 | 10 | 19 | 3 | 20 | 10 | 90 | 78 | 21 | 35 | 11.54% | 8 | 16.86 | 0.00 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 41.18% | 0 | 0 | 0.70 | 0 | 0 | 0.74 | ||
| 4 | Shawn Ridge | Comets (NOR) | RW | 23 | 9 | 10 | 19 | 8 | 10 | 10 | 16 | 66 | 20 | 54 | 13.64% | 8 | 16.36 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 26.67% | 0 | 0 | 0.83 | 0 | 0 | 0.91 | ||
| 5 | Veli Torenius | Comets (NOR) | C | 23 | 7 | 11 | 18 | 4 | 0 | 0 | 7 | 57 | 24 | 28 | 12.28% | 10 | 16.70 | 0.00 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 5 | 0 | 59.17% | 0 | 0 | 0.78 | 0 | 0 | 0.86 | ||
| 6 | Mitchell Megna | Comets (NOR) | C | 27 | 7 | 10 | 17 | 7 | 50 | 50 | 33 | 35 | 9 | 24 | 20.00% | 10 | 16.94 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 18 | 1 | 2 | 57.78% | 0 | 0 | 0.63 | 0 | 0 | 0.35 | ||
| 7 | Pierre-Anthony Comrie | Comets (NOR) | RW | 27 | 6 | 10 | 16 | 6 | 0 | 0 | 36 | 63 | 27 | 46 | 9.52% | 18 | 15.35 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 1 | 0 | 56.25% | 0 | 0 | 0.59 | 0 | 1 | 0.76 | ||
| 8 | Devin Stanton | Comets (NOR) | RW | 22 | 5 | 10 | 15 | 0 | 10 | 10 | 37 | 56 | 14 | 29 | 8.93% | 10 | 17.15 | 0.00 | 2 | 3 | 5 | 0 | 0 | 0 | 18 | 2 | 0 | 51.85% | 0 | 1 | 0.68 | 0 | 0 | 0.65 | ||
| 9 | Alexsey Omelkov | Comets (NOR) | LW | 27 | 5 | 8 | 13 | 8 | 35 | 25 | 52 | 52 | 23 | 28 | 9.62% | 13 | 17.11 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 1 | 0 | 37.78% | 0 | 0 | 0.48 | 0 | 0 | 0.43 | ||
| 10 | Axel Moreau | Comets (NOR) | D | 27 | 0 | 10 | 10 | 12 | 20 | 20 | 24 | 33 | 14 | 13 | 0.00% | 13 | 18.12 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.37 | 0 | 1 | 0.41 | ||
| 11 | Alex Kessell | Comets (NOR) | RW | 21 | 2 | 7 | 9 | 2 | 19 | 15 | 15 | 41 | 10 | 28 | 4.88% | 3 | 10.27 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 66.67% | 0 | 0 | 0.43 | 0 | 0 | 0.36 | ||
| 12 | Quincy Dagenais | Comets (NOR) | C | 27 | 7 | 2 | 9 | 0 | 5 | 5 | 22 | 36 | 12 | 29 | 19.44% | 5 | 10.65 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 53.79% | 0 | 0 | 0.33 | 0 | 0 | 0.35 | ||
| 13 | Simon-Pierre Dalgarno | Comets (NOR) | D | 27 | 1 | 8 | 9 | 5 | 7 | 5 | 23 | 43 | 15 | 19 | 2.33% | 29 | 20.98 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.43 | ||
| 14 | Rudolf Markelj | Comets (NOR) | D | 27 | 2 | 7 | 9 | 9 | 2 | 0 | 32 | 34 | 9 | 15 | 5.88% | 23 | 21.23 | 0.00 | 2 | 2 | 4 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.49 | ||
| 15 | Olli Colley | Comets (NOR) | D | 27 | 0 | 9 | 9 | -10 | 22 | 20 | 9 | 24 | 8 | 15 | 0.00% | 31 | 20.84 | 0.00 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.07 | ||
| 16 | Ernests Vizmanis | Comets (NOR) | D | 27 | 0 | 8 | 8 | -1 | 15 | 15 | 49 | 23 | 8 | 7 | 0.00% | 24 | 18.65 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.21 | ||
| 17 | Jeny Bosiacki | Comets (NOR) | D | 27 | 0 | 7 | 7 | 12 | 4 | 0 | 24 | 28 | 4 | 13 | 0.00% | 22 | 18.95 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.42 | ||
| 18 | Giff Bradbury | Comets (NOR) | LW | 27 | 3 | 2 | 5 | 3 | 7 | 5 | 24 | 28 | 8 | 18 | 10.71% | 6 | 10.54 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 37.50% | 0 | 0 | 0.19 | 0 | 0 | 0.24 | ||
| 19 | Wendell Sarrazin | Comets (NOR) | LW | 6 | 1 | 0 | 1 | 0 | 9 | 5 | 12 | 4 | 1 | 4 | 25.00% | 4 | 16.03 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.17 | 0 | 0 | -0.03 | ||
| 20 | Daine Finley | Comets (NOR) | RW | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | 0 | 6 | 0.00% | 1 | 9.79 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.11 | ||
| 21 | Karl Lundkvist | Comets (NOR) | C | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 4 | 2 | 2 | 0.00% | 1 | 9.12 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | ||
| 22 | Gennady Oginsky | Comets (NOR) | RW | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 3 | 0 | 1 | 0.00% | 0 | 9.65 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | -0.14 | ||
| Team Total or Average | 486 | 91 | 155 | 246 | 67 | 304 | 240 | 596 | 894 | 288 | 505 | 10.18% | 256 | 16.65 | 13 | 22 | 35 | 407 | 0 | 0 | 0 | 169 | 16 | 5 | 55.80% | 1568 | 235 | 206 | 1 | 2 | 0.61 | 0 | 2 |
| 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 | Adrian Haslar | Comets (NOR) | 16 | 9 | 4 | 2 | 0.929 | 2.29 | 918 | 2 | 0 | 35 | 490 | 245 | 1 | 1 | 0.000 | 0 | 15 | 12 | 1 | 3 | 1 |
| 2 | Juho-Matti Nykvist | Comets (NOR) | 12 | 7 | 4 | 1 | 0.903 | 3.13 | 710 | 0 | 0 | 37 | 382 | 189 | 0 | 0 | 0.333 | 3 | 12 | 15 | 2 | 0 | 1 |
| Team Total or Average | 28 | 16 | 8 | 3 | 0.917 | 2.65 | 1629 | 2 | 0 | 72 | 872 | 434 | 1 | 1 | 0.333 | 3 | 27 | 27 | 3 | 3 | 2 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Haslar | G | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Alex Kessell ![]() | RW | 25 | 1,750,000$ | 1,750,000$ | 1,750,000$ | ||||||
Alexsey Omelkov | LW | 20 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Angelo Bonneau | C | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Axel Moreau | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Ballard Winston ![]() | LW | 26 | 1,993,444$ | 1,993,444$ | |||||||
Corey Shugart | LW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Daine Finley ![]() | RW | 25 | 724,010$ | 724,010$ | 724,010$ | ||||||
Devin Stanton | RW | 21 | 900,000$ | 900,000$ | |||||||
Ernests Vizmanis | D | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Gennady Oginsky ![]() | RW | 37 | 1,250,444$ | 1,250,444$ | |||||||
Giff Bradbury ![]() | LW | 31 | 1,328,021$ | 1,328,021$ | 1,328,021$ | ||||||
Hans Fabricius | G | 24 | 1,500,460$ | 1,500,460$ | |||||||
Helmar Andren | LW | 24 | 1,344,444$ | 1,344,444$ | 1,344,444$ | ||||||
Jarl Molo ![]() | D | 32 | 1,884,444$ | 1,884,444$ | |||||||
Jeny Bosiacki | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Jessy Soucy ![]() | LW | 28 | 1,644,444$ | 1,644,444$ | |||||||
Juho-Matti Nykvist | G | 23 | 800,000$ | 800,000$ | |||||||
Karl Lundkvist ![]() | C | 32 | 850,444$ | 850,444$ | |||||||
Leland Matyas ![]() | D | 37 | 1,999,999$ | 1,999,999$ | |||||||
Mikhail Khanov ![]() | C | 30 | 724,533$ | 724,533$ | |||||||
Mitchell Megna | C | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Olli Colley | D | 20 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Pierre-Anthony Comrie ![]() | RW | 30 | 1,424,054$ | 1,424,054$ | 1,424,054$ | ||||||
Quincy Dagenais ![]() | C | 31 | 905,325$ | 905,325$ | |||||||
Rashit Musayev | D | 24 | 1,071,968$ | 1,071,968$ | |||||||
Rudolf Markelj | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Shawn Ridge | RW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Simon-Pierre Dalgarno | D | 23 | 800,000$ | 800,000$ | |||||||
Veli Torenius | C | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Wendell Sarrazin ![]() | LW | 29 | 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 | Rampage | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 25 | 34 | 31 | 1 | 60 | 307 | 317 | 264 | 8 | 62 | 21 | 44 | 44 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 28.6% | 8.3% | 83.9% | 92.2 | Unlucky |
| 2 | Wolverines | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 25 | 34 | 31 | 1 | 38 | 307 | 317 | 264 | 8 | 32 | 7 | 12 | 20 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 75.0% | 10.5% | 96.9% | 107.4 | LUCKY |
| 3 | Crusaders | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 25 | 34 | 31 | 1 | 114 | 307 | 317 | 264 | 8 | 90 | 34 | 19 | 63 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 57.1% | 7.9% | 92.2% | 100.1 | DULL |
| 4 | Bulldogs | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 15 | 9 | 6 | 5 | 0.625 | 15 | 28 | 43 | 0 | 0 | 25 | 34 | 31 | 1 | 140 | 307 | 317 | 264 | 8 | 142 | 44 | 72 | 79 | 8 | 3 | 37.50% | 1 | 0 | 100.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 57.1% | 10.7% | 93.7% | 104.4 | LUCKY |
| 5 | Rock | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 25 | 34 | 31 | 1 | 23 | 307 | 317 | 264 | 8 | 34 | 3 | 24 | 27 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 57.1% | 17.4% | 91.2% | 108.6 | LUCKY |
| 6 | Jazz | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 25 | 34 | 31 | 1 | 37 | 307 | 317 | 264 | 8 | 41 | 9 | 7 | 14 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 57.1% | 13.5% | 92.7% | 106.2 | LUCKY |
| 7 | Wolfpack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 25 | 34 | 31 | 1 | 34 | 307 | 317 | 264 | 8 | 36 | 10 | 0 | 29 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 40.0% | 5.9% | 91.7% | 97.5 | DULL |
| 8 | Schooners | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 25 | 34 | 31 | 1 | 88 | 307 | 317 | 264 | 8 | 96 | 25 | 41 | 68 | 10 | 4 | 40.00% | 3 | 1 | 66.67% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 42.9% | 11.4% | 90.6% | 102.0 | FUN |
| 9 | Hydra | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 1 | 0 | 25 | 34 | 31 | 1 | 71 | 307 | 317 | 264 | 8 | 59 | 13 | 7 | 41 | 8 | 1 | 12.50% | 1 | 1 | 0.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 50.0% | 8.5% | 89.8% | 98.3 | Unlucky |
| 10 | Spartans | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 5 | 4 | 5 | 0.833 | 9 | 14 | 23 | 0 | 0 | 25 | 34 | 31 | 1 | 101 | 307 | 317 | 264 | 8 | 101 | 29 | 23 | 72 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 69.2% | 8.9% | 95.0% | 104.0 | Unlucky |
| 11 | Northmen | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 25 | 34 | 31 | 1 | 29 | 307 | 317 | 264 | 8 | 24 | 7 | 11 | 21 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 60.0% | 13.8% | 91.7% | 105.5 | LUCKY |
| 12 | Yeti | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 7 | 12 | 0 | 0 | 25 | 34 | 31 | 1 | 28 | 307 | 317 | 264 | 8 | 39 | 15 | 11 | 24 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 55.6% | 17.9% | 84.6% | 102.5 | FUN |
| 13 | Wild Wings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 25 | 34 | 31 | 1 | 41 | 307 | 317 | 264 | 8 | 27 | 12 | 7 | 17 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 80.0% | 9.8% | 92.6% | 102.3 | LUCKY |
| 14 | Drillers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 25 | 34 | 31 | 1 | 59 | 307 | 317 | 264 | 8 | 62 | 12 | 16 | 52 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 55.6% | 8.5% | 91.9% | 100.4 | DULL |
| 15 | Swamp Puppies | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 25 | 34 | 31 | 1 | 31 | 307 | 317 | 264 | 8 | 28 | 15 | 12 | 25 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 57.1% | 12.9% | 89.3% | 102.2 | FUN |
| _Vs Division | 8 | 6 | 2 | 0 | 0 | 1 | 0 | 0 | 28 | 24 | 4 | 13 | 0.813 | 28 | 46 | 74 | 0 | 0 | 25 | 34 | 31 | 1 | 271 | 307 | 317 | 264 | 8 | 252 | 86 | 78 | 172 | 15 | 5 | 33.33% | 9 | 5 | 44.44% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 54.8% | 10.3% | 90.5% | 100.8 | FUN | |
| _Vs Conference | 22 | 13 | 6 | 0 | 1 | 1 | 0 | 1 | 75 | 59 | 16 | 30 | 0.682 | 75 | 130 | 205 | 1 | 0 | 25 | 34 | 31 | 1 | 735 | 307 | 317 | 264 | 8 | 704 | 212 | 267 | 471 | 46 | 12 | 26.09% | 21 | 5 | 76.19% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 53.8% | 10.2% | 91.6% | 101.8 | LUCKY | |
| _Since Last GM Reset | 27 | 15 | 8 | 0 | 1 | 2 | 0 | 1 | 91 | 74 | 17 | 35 | 0.648 | 91 | 155 | 246 | 1 | 0 | 25 | 34 | 31 | 1 | 894 | 307 | 317 | 264 | 8 | 873 | 256 | 306 | 596 | 53 | 13 | 24.53% | 28 | 8 | 71.43% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 54.2% | 10.2% | 91.5% | 101.7 | LUCKY | |
| Total | 27 | 15 | 8 | 0 | 1 | 2 | 0 | 1 | 91 | 74 | 17 | 35 | 0.648 | 91 | 155 | 246 | 1 | 0 | 25 | 34 | 31 | 1 | 894 | 307 | 317 | 264 | 8 | 873 | 256 | 306 | 596 | 53 | 13 | 24.53% | 28 | 8 | 71.43% | 0 | 321 | 589 | 54.50% | 336 | 569 | 59.05% | 218 | 399 | 54.64% | 610 | 375 | 561 | 229 | 459 | 236 | 54.2% | 10.2% | 91.5% | 101.7 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 17 |
| Defensive Zone | 20 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 589 |
| Neutral Zone Start | 399 |
| Defensive Zone Start | 569 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 875 |
| Faceoffs Lost | 682 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.4 | 9.57 |
| 2nd Period | 23.1 | 20.31 |
| 3rd Period | 32.9 | 30.68 |
| Overtime | 33.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.3 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 77 |
|---|---|
| PP Goal | 13 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 9 | 7 |
| Lost | 4 | 4 |
| Overtime Lost | 3 | 0 |
| PP Attempt | 53 |
|---|---|
| PP Goal | 13 |
| PK Attempt | 28 |
| PK Goal Against | 8 |
| Home | |
|---|---|
| Shots For | 33.1 |
| Shots Against | 32.3 |
| Goals For | 3.4 |
| Goals Against | 2.7 |
| Hits | 22.1 |
| Shots Blocked | 9.5 |
| Pim | 11.3 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,514,045$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Syracuse | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 45595 | 30775 | |||
| Attendance PCT | 94.99% | 96.17% | 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 |
| 24 | 4773 - 95.46% | 167,168$ | 2,674,687$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,514,045$ | 3,514,045$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,232,796$ | 3,514,045$ | 1,192,836$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 4,012,030$ | 100 | 24,755$ | 2,475,500$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,475,500$ | 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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Jeffery Pattyn is out for 1 week because of a Sore Left Knee Injury.
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