| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 73 | 45 | 20 | 8 | 98 |
GM: Tim Karutz Season 4 GM of the year |
League Rank:3rd | Arena: Syracuse Arena |
| Conference: Eastern Conference | Conference Rank:2nd | Capacity:5,000 |
| Division: Atlantic | Division Rank:1st | Total Player Salaries:3,524,046$ |
| Captain: Pierre-Anthony Comrie | Last 10: 6-4-0 | |
| Coach: Dave Gonzalez | Home: 19-9-7 | |
| All-Time Record: 201 W - 150 L - 49 OTL | Away: 21-11-1 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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$/3yrs | |||
Mitchell Megna (R) (A) | 91 | C | 100.00 | 64 | 75 | 79 | 75 | 77 | 73 | 77 | 67 | 87 | 80 | 72 | 77 | 76 | 63 | 81 | 79 | 50 | 75 | 18 | 1,000,000$/3yrs | |||
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$/1yrs | |||
Alexsey Omelkov (R) | 72 | LW | 100.00 | 76 | 64 | 63 | 76 | 70 | 90 | 85 | 77 | 68 | 59 | 71 | 84 | 54 | 58 | 65 | 74 | 50 | 74 | 20 | 900,000$/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 | |||
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$/3yrs | |||
Corey Shugart (R) | 34 | LW | 100.00 | 78 | 59 | 53 | 92 | 59 | 70 | 96 | 85 | 56 | 58 | 84 | 60 | 68 | 67 | 68 | 68 | 50 | 73 | 21 | 800,000$/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$/4yrs | |||
Rudolf Markelj (R) | 49 | D | 100.00 | 70 | 55 | 76 | 63 | 59 | 84 | 71 | 80 | 70 | 76 | 66 | 82 | 58 | 61 | 73 | 83 | 50 | 71 | 22 | 800,000$/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 | ||||||||||||||||||||||||||
Devin Stanton (R) | 29 | RW | 61.78 | 74 | 50 | 81 | 82 | 72 | 74 | 55 | 87 | 55 | 91 | 60 | 99 | 49 | 37 | 28 | 78 | 50 | 77 | 21 | 900,000$/4yrs | |||
Gennady Oginsky | 39 | RW | 100.00 | 76 | 50 | 83 | 90 | 59 | 74 | 88 | 83 | 58 | 69 | 45 | 75 | 89 | 76 | 82 | 0 | 50 | 73 | 37 | 1,250,444$/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 | |||
Conrade Dole | 56 | D | 100.00 | 31 | 65 | 73 | 85 | 80 | 68 | 59 | 80 | 25 | 86 | 75 | 73 | 80 | 45 | 77 | 0 | 50 | 74 | 39 | 1,999,999$/1yrs | |||
Rashit Musayev (R) | 68 | D | 100.00 | 55 | 49 | 54 | 95 | 55 | 92 | 51 | 88 | 25 | 61 | 35 | 77 | 61 | 90 | 49 | 59 | 50 | 66 | 24 | 1,071,968$/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 | 100.00 | 55 | 84 | 57 | 94 | 85 | 71 | 88 | 88 | 97 | 60 | 90 | 74 | 83 | 70 | 50 | 78 | 23 | 800,000$/2yrs |
Adrian Haslar | 88 | 100.00 | 76 | 59 | 80 | 99 | 69 | 82 | 87 | 72 | 93 | 43 | 90 | 56 | 67 | 74 | 50 | 76 | 21 | 1,000,000$/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$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Dave Gonzalez | 65 | 79 | 83 | 74 | 86 | 76 | 39 | USA | 40 | 3 | 125,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| 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 | 73 | 30 | 43 | 73 | 8 | 44 | 20 | 208 | 247 | 78 | 135 | 12.15% | 21 | 17.33 | 0.00 | 5 | 14 | 19 | 0 | 0 | 0 | 5 | 4 | 2 | 51.43% | 0 | 2 | 1.00 | 0 | 0 | 1.01 | ||
| 2 | Veli Torenius | Comets (NOR) | C | 69 | 25 | 32 | 57 | 17 | 2 | 0 | 20 | 159 | 58 | 72 | 15.72% | 19 | 17.41 | 0.00 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 10 | 0 | 55.44% | 0 | 0 | 0.83 | 0 | 0 | 0.88 | ||
| 3 | Corey Shugart | Comets (NOR) | LW | 73 | 26 | 29 | 55 | 7 | 74 | 50 | 225 | 243 | 59 | 132 | 10.70% | 17 | 16.54 | 0.00 | 6 | 8 | 14 | 0 | 0 | 0 | 0 | 2 | 0 | 45.95% | 0 | 0 | 0.75 | 0 | 0 | 0.76 | ||
| 4 | Devin Stanton | Comets (NOR) | RW | 64 | 19 | 33 | 52 | 3 | 24 | 20 | 118 | 178 | 43 | 83 | 10.67% | 22 | 17.45 | 0.00 | 7 | 7 | 14 | 1 | 0 | 1 | 55 | 6 | 2 | 42.86% | 0 | 1 | 0.81 | 0 | 0 | 0.79 | ||
| 5 | Pierre-Anthony Comrie | Comets (NOR) | RW | 73 | 22 | 29 | 51 | 21 | 14 | 10 | 98 | 175 | 66 | 115 | 12.57% | 41 | 16.00 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 7 | 0 | 62.26% | 0 | 0 | 0.70 | 2 | 5 | 0.83 | ||
| 6 | Alexsey Omelkov | Comets (NOR) | LW | 73 | 18 | 28 | 46 | 24 | 127 | 85 | 154 | 138 | 44 | 87 | 13.04% | 38 | 17.09 | 0.00 | 0 | 4 | 4 | 0 | 0 | 0 | 6 | 3 | 0 | 44.35% | 0 | 0 | 0.63 | 0 | 0 | 0.47 | ||
| 7 | Shawn Ridge | Comets (NOR) | RW | 56 | 19 | 20 | 39 | 11 | 47 | 35 | 30 | 163 | 56 | 119 | 11.66% | 25 | 16.74 | 0.00 | 2 | 2 | 4 | 0 | 0 | 0 | 45 | 1 | 0 | 39.62% | 0 | 1 | 0.70 | 0 | 0 | 0.71 | ||
| 8 | Mitchell Megna | Comets (NOR) | C | 73 | 14 | 25 | 39 | 10 | 156 | 110 | 82 | 100 | 30 | 56 | 14.00% | 22 | 17.11 | 0.00 | 2 | 5 | 7 | 0 | 1 | 1 | 57 | 3 | 2 | 53.86% | 0 | 0 | 0.53 | 0 | 5 | 0.18 | ||
| 9 | Quincy Dagenais | Comets (NOR) | C | 73 | 16 | 21 | 37 | 11 | 45 | 45 | 60 | 136 | 36 | 74 | 11.76% | 21 | 12.17 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 3 | 0 | 53.05% | 0 | 0 | 0.51 | 0 | 0 | 0.48 | ||
| 10 | Olli Colley | Comets (NOR) | D | 73 | 6 | 27 | 33 | -1 | 52 | 50 | 38 | 84 | 33 | 47 | 7.14% | 67 | 20.97 | 0.00 | 3 | 10 | 13 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | 0.32 | ||
| 11 | Rudolf Markelj | Comets (NOR) | D | 73 | 3 | 20 | 23 | 5 | 21 | 15 | 87 | 79 | 25 | 32 | 3.80% | 77 | 20.48 | 0.00 | 2 | 6 | 8 | 0 | 1 | 1 | 61 | 0 | 0 | 0.00% | 0 | 0 | 0.32 | 0 | 0 | 0.33 | ||
| 12 | Simon-Pierre Dalgarno | Comets (NOR) | D | 73 | 2 | 20 | 22 | 10 | 14 | 10 | 99 | 104 | 30 | 52 | 1.92% | 78 | 20.67 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 0 | 1 | 0.00% | 0 | 0 | 0.30 | 0 | 1 | 0.41 | ||
| 13 | Axel Moreau | Comets (NOR) | D | 73 | 1 | 20 | 21 | 26 | 50 | 50 | 65 | 85 | 35 | 31 | 1.18% | 56 | 18.00 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 2 | 5 | 0.34 | ||
| 14 | Jeny Bosiacki | Comets (NOR) | D | 73 | 2 | 18 | 20 | 28 | 25 | 15 | 62 | 67 | 23 | 32 | 2.99% | 70 | 18.84 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 1 | 0.38 | ||
| 15 | Alex Kessell | Comets (NOR) | RW | 67 | 8 | 10 | 18 | -5 | 33 | 25 | 46 | 119 | 30 | 81 | 6.72% | 13 | 10.01 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 13 | 0 | 1 | 53.33% | 0 | 0 | 0.27 | 0 | 0 | 0.26 | ||
| 16 | Giff Bradbury | Comets (NOR) | LW | 73 | 5 | 8 | 13 | -6 | 30 | 10 | 63 | 89 | 27 | 60 | 5.62% | 19 | 10.50 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0 | 0 | 53.33% | 0 | 0 | 0.18 | 0 | 0 | 0.16 | ||
| 17 | Ernests Vizmanis | Comets (NOR) | D | 73 | 0 | 12 | 12 | -3 | 56 | 50 | 122 | 59 | 28 | 26 | 0.00% | 69 | 18.87 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.09 | ||
| 18 | Jessy Soucy | Comets (NOR) | LW | 15 | 3 | 6 | 9 | 5 | 0 | 0 | 1 | 26 | 7 | 11 | 11.54% | 8 | 16.76 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 50.00% | 0 | 0 | 0.60 | 0 | 0 | 0.70 | ||
| 19 | Wendell Sarrazin | Comets (NOR) | LW | 35 | 2 | 4 | 6 | -7 | 57 | 35 | 50 | 37 | 12 | 17 | 5.41% | 15 | 11.97 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 50.45% | 0 | 0 | 0.17 | 0 | 0 | -0.10 | ||
| 20 | Daine Finley | Comets (NOR) | RW | 8 | 0 | 0 | 0 | 5 | 4 | 0 | 4 | 10 | 0 | 8 | 0.00% | 1 | 11.56 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.26 | ||
| 21 | Karl Lundkvist | Comets (NOR) | C | 8 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 5 | 3 | 3 | 0.00% | 2 | 8.56 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.37% | 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 | 1274 | 221 | 405 | 626 | 166 | 875 | 635 | 1636 | 2306 | 723 | 1274 | 9.58% | 701 | 16.62 | 34 | 67 | 101 | 1156 | 1 | 2 | 3 | 509 | 41 | 8 | 53.18% | 3614 | 545 | 529 | 0 | 4 | 0.59 | 4 | 17 |
| 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) | 39 | 25 | 10 | 2 | 0.918 | 2.51 | 2227 | 2 | 0 | 93 | 1135 | 552 | 2 | 2 | 0.667 | 3 | 38 | 35 | 4 | 3 | 5 |
| 2 | Juho-Matti Nykvist | Comets (NOR) | 38 | 20 | 10 | 6 | 0.911 | 2.74 | 2193 | 2 | 0 | 100 | 1126 | 537 | 3 | 0 | 0.615 | 13 | 35 | 38 | 5 | 0 | 2 |
| Team Total or Average | 77 | 45 | 20 | 8 | 0.915 | 2.62 | 4420 | 4 | 0 | 193 | 2261 | 1089 | 5 | 2 | 0.625 | 16 | 73 | 73 | 9 | 3 | 7 |
| 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$ | |||||
Axel Moreau | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Ballard Winston ![]() | LW | 26 | 1,993,444$ | 1,993,444$ | |||||||
Conrade Dole ![]() | D | 39 | 1,999,999$ | 1,999,999$ | |||||||
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$ | 1,929,029$ | 1,929,029$ | 1,929,029$ | ||||
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$ | 1,280,060$ | 1,280,060$ | |||||
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$ | 999,074$ | 999,074$ | |||||
Juho-Matti Nykvist | G | 23 | 800,000$ | 800,000$ | 1,999,009$ | ||||||
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$ | 1,076,076$ | 1,076,076$ | |||||
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$ | 1,194,875$ | 1,194,875$ | 1,194,875$ | ||||
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 | Outlaws | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 65 | 98 | 78 | 7 | 76 | 764 | 867 | 783 | 40 | 70 | 28 | 26 | 39 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 53.3% | 10.5% | 90.0% | 100.5 | FUN |
| 2 | Jacks | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 65 | 98 | 78 | 7 | 59 | 764 | 867 | 783 | 40 | 67 | 18 | 39 | 53 | 9 | 4 | 44.44% | 2 | 2 | 0.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 36.4% | 13.6% | 86.6% | 100.1 | FUN |
| 3 | Rampage | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 13 | 21 | 0 | 0 | 65 | 98 | 78 | 7 | 105 | 764 | 867 | 783 | 40 | 92 | 36 | 54 | 68 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 38.9% | 7.6% | 88.0% | 95.7 | Unlucky |
| 4 | Kings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 65 | 98 | 78 | 7 | 36 | 764 | 867 | 783 | 40 | 29 | 8 | 20 | 22 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 28.6% | 8.3% | 82.8% | 91.1 | Unlucky |
| 5 | Wolverines | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 65 | 98 | 78 | 7 | 74 | 764 | 867 | 783 | 40 | 60 | 17 | 48 | 44 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 1 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 55.6% | 9.5% | 91.7% | 101.1 | LUCKY |
| 6 | Crusaders | 7 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 24 | 17 | 7 | 12 | 0.857 | 24 | 39 | 63 | 0 | 0 | 65 | 98 | 78 | 7 | 245 | 764 | 867 | 783 | 40 | 219 | 88 | 39 | 160 | 6 | 2 | 33.33% | 7 | 4 | 42.86% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 62.9% | 9.8% | 92.2% | 102.0 | LUCKY |
| 7 | Bulldogs | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 15 | 9 | 6 | 5 | 0.625 | 15 | 28 | 43 | 0 | 0 | 65 | 98 | 78 | 7 | 140 | 764 | 867 | 783 | 40 | 142 | 44 | 72 | 79 | 8 | 3 | 37.50% | 1 | 0 | 100.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 57.1% | 10.7% | 93.7% | 104.4 | LUCKY |
| 8 | Rock | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 6 | 1.000 | 13 | 24 | 37 | 0 | 0 | 65 | 98 | 78 | 7 | 98 | 764 | 867 | 783 | 40 | 88 | 23 | 37 | 65 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 65.0% | 13.3% | 90.9% | 104.2 | FUN |
| 9 | Auroras | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 65 | 98 | 78 | 7 | 85 | 764 | 867 | 783 | 40 | 60 | 31 | 0 | 57 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 66.7% | 7.1% | 95.0% | 102.1 | DULL |
| 10 | Jazz | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 11 | -1 | 3 | 0.500 | 10 | 18 | 28 | 1 | 0 | 65 | 98 | 78 | 7 | 103 | 764 | 867 | 783 | 40 | 84 | 23 | 18 | 62 | 8 | 4 | 50.00% | 4 | 1 | 75.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 37.5% | 9.7% | 86.9% | 96.6 | FUN |
| 11 | Hornets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 65 | 98 | 78 | 7 | 40 | 764 | 867 | 783 | 40 | 31 | 5 | 27 | 18 | 4 | 3 | 75.00% | 1 | 0 | 100.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 50.0% | 12.5% | 93.5% | 106.0 | LUCKY |
| 12 | Wolfpack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 65 | 98 | 78 | 7 | 65 | 764 | 867 | 783 | 40 | 73 | 25 | 19 | 47 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 37.5% | 4.6% | 91.8% | 96.4 | DULL |
| 13 | Vipers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 65 | 98 | 78 | 7 | 66 | 764 | 867 | 783 | 40 | 52 | 15 | 13 | 45 | 6 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 71.4% | 7.6% | 92.3% | 99.9 | DULL |
| 14 | Devils | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 65 | 98 | 78 | 7 | 65 | 764 | 867 | 783 | 40 | 71 | 25 | 27 | 37 | 7 | 2 | 28.57% | 1 | 0 | 100.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 41.7% | 10.8% | 90.1% | 100.9 | FUN |
| 15 | Guppies | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 4 | 7 | 4 | 1.000 | 11 | 18 | 29 | 0 | 0 | 65 | 98 | 78 | 7 | 62 | 764 | 867 | 783 | 40 | 53 | 22 | 61 | 48 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 73.3% | 17.7% | 92.5% | 110.2 | LUCKY |
| 16 | Stingers | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 0.667 | 10 | 15 | 25 | 0 | 0 | 65 | 98 | 78 | 7 | 87 | 764 | 867 | 783 | 40 | 82 | 24 | 57 | 76 | 10 | 3 | 30.00% | 6 | 1 | 83.33% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 63.6% | 11.5% | 93.9% | 105.4 | LUCKY |
| 17 | Schooners | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 31 | 16 | 15 | 12 | 0.857 | 31 | 54 | 85 | 0 | 0 | 65 | 98 | 78 | 7 | 250 | 764 | 867 | 783 | 40 | 221 | 64 | 140 | 164 | 20 | 8 | 40.00% | 5 | 2 | 60.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 62.2% | 12.4% | 92.8% | 105.2 | LUCKY |
| 18 | Hydra | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 13 | 20 | 1 | 0 | 65 | 98 | 78 | 7 | 107 | 764 | 867 | 783 | 40 | 81 | 22 | 31 | 58 | 10 | 1 | 10.00% | 4 | 1 | 75.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 46.2% | 6.5% | 90.1% | 96.7 | Unlucky |
| 19 | Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 65 | 98 | 78 | 7 | 52 | 764 | 867 | 783 | 40 | 75 | 23 | 16 | 42 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 25.0% | 3.8% | 92.0% | 95.8 | DULL |
| 20 | Spartans | 9 | 6 | 2 | 0 | 0 | 1 | 0 | 0 | 25 | 23 | 2 | 13 | 0.722 | 25 | 39 | 64 | 0 | 0 | 65 | 98 | 78 | 7 | 271 | 764 | 867 | 783 | 40 | 269 | 85 | 107 | 225 | 15 | 1 | 6.67% | 12 | 2 | 83.33% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 53.3% | 9.2% | 91.4% | 100.7 | LUCKY |
| 21 | Northmen | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 65 | 98 | 78 | 7 | 62 | 764 | 867 | 783 | 40 | 54 | 16 | 22 | 40 | 2 | 1 | 50.00% | 6 | 0 | 100.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 60.0% | 11.3% | 92.6% | 103.9 | LUCKY |
| 22 | Yeti | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 9 | 1 | 3 | 0.750 | 10 | 16 | 26 | 0 | 0 | 65 | 98 | 78 | 7 | 61 | 764 | 867 | 783 | 40 | 70 | 21 | 18 | 50 | 2 | 1 | 50.00% | 4 | 3 | 25.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 60.0% | 16.4% | 87.1% | 103.5 | FUN |
| 23 | Wild Wings | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 65 | 98 | 78 | 7 | 72 | 764 | 867 | 783 | 40 | 67 | 22 | 11 | 37 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 50.0% | 11.1% | 89.6% | 100.7 | FUN |
| 24 | Drillers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 65 | 98 | 78 | 7 | 59 | 764 | 867 | 783 | 40 | 62 | 12 | 16 | 52 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 55.6% | 8.5% | 91.9% | 100.4 | DULL |
| 25 | Swamp Puppies | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 65 | 98 | 78 | 7 | 99 | 764 | 867 | 783 | 40 | 91 | 31 | 51 | 68 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 53.3% | 8.1% | 92.3% | 100.4 | DULL |
| _Vs Division | 18 | 17 | 4 | 0 | 0 | 1 | 1 | 0 | 73 | 49 | 24 | 37 | 1.028 | 73 | 124 | 197 | 0 | 0 | 65 | 98 | 78 | 7 | 628 | 764 | 867 | 783 | 40 | 577 | 195 | 208 | 411 | 32 | 13 | 40.63% | 19 | 10 | 47.37% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 60.6% | 11.6% | 91.5% | 103.1 | LUCKY | |
| _Vs Conference | 49 | 30 | 12 | 0 | 2 | 3 | 1 | 1 | 166 | 126 | 40 | 70 | 0.714 | 166 | 284 | 450 | 2 | 0 | 65 | 98 | 78 | 7 | 1639 | 764 | 867 | 783 | 40 | 1490 | 478 | 639 | 1102 | 101 | 26 | 25.74% | 59 | 13 | 77.97% | 0 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 55.3% | 10.1% | 91.5% | 101.7 | LUCKY | |
| _Since Last GM Reset | 73 | 40 | 20 | 0 | 3 | 5 | 2 | 3 | 246 | 198 | 48 | 98 | 0.671 | 246 | 416 | 662 | 2 | 0 | 65 | 98 | 78 | 7 | 2439 | 764 | 867 | 783 | 40 | 2263 | 728 | 969 | 1656 | 156 | 39 | 25.00% | 89 | 23 | 74.16% | 1 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 54.2% | 10.1% | 91.3% | 101.3 | LUCKY | |
| Total | 73 | 40 | 20 | 0 | 3 | 5 | 2 | 3 | 246 | 198 | 48 | 98 | 0.671 | 246 | 416 | 662 | 2 | 0 | 65 | 98 | 78 | 7 | 2439 | 764 | 867 | 783 | 40 | 2263 | 728 | 969 | 1656 | 156 | 39 | 25.00% | 89 | 23 | 74.16% | 1 | 871 | 1646 | 52.92% | 888 | 1540 | 57.66% | 572 | 1090 | 52.48% | 1674 | 1021 | 1478 | 621 | 1272 | 656 | 54.2% | 10.1% | 91.3% | 101.3 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 17 |
| Defensive Zone | 20 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1646 |
| Neutral Zone Start | 1090 |
| Defensive Zone Start | 1540 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2331 |
| Faceoffs Lost | 1945 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.5 | 9.57 |
| 2nd Period | 22.3 | 20.31 |
| 3rd Period | 33.1 | 30.68 |
| Overtime | 33.6 | 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 | 204 |
|---|---|
| PP Goal | 39 |
| PK Goal | 1 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 20 | 25 |
| Lost | 9 | 11 |
| Overtime Lost | 7 | 1 |
| PP Attempt | 156 |
|---|---|
| PP Goal | 39 |
| PK Attempt | 89 |
| PK Goal Against | 23 |
| Home | |
|---|---|
| Shots For | 33.4 |
| Shots Against | 31.0 |
| Goals For | 3.4 |
| Goals Against | 2.7 |
| Hits | 22.7 |
| Shots Blocked | 10.0 |
| Pim | 13.3 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,524,046$ | 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 | 102819 | 68829 | |||
| Attendance PCT | 95.20% | 95.60% | 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 |
| 4 | 4768 - 95.36% | 167,234$ | 6,020,431$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,524,046$ | 3,524,046$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,376,318$ | 3,524,046$ | 3,266,640$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 668,937$ | 18 | 24,823$ | 446,814$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 446,814$ | 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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Adolfo Bakewell is out for 1 days because of a Bruised Left Arm Injury.
Devin Stanton is out for 1 month because of a Groin Injury.
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