| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 72 | 48 | 19 | 5 | 101 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Torrey Birdsell | 0 | C | 100.00 | 77 | 66 | 76 | 86 | 93 | 96 | 53 | 94 | 92 | 68 | 62 | 67 | 70 | 82 | 34 | 12 | 50 | 78 | 33 | 1,700,000$/4yrs | |||
Anton Lebed | 17 | RW | 100.00 | 89 | 64 | 82 | 91 | 99 | 84 | 65 | 93 | 68 | 78 | 56 | 59 | 64 | 68 | 62 | 27 | 50 | 78 | 30 | 1,450,000$/2yrs | |||
Abram Korolyuk | 21 | LW | 100.00 | 49 | 67 | 66 | 93 | 82 | 79 | 91 | 93 | 52 | 78 | 46 | 84 | 39 | 52 | 63 | 23 | 50 | 77 | 31 | 1,380,000$/5yrs | |||
Lindon Stallworth | 23 | RW | 100.00 | 56 | 41 | 87 | 92 | 96 | 75 | 67 | 89 | 61 | 60 | 71 | 77 | 73 | 59 | 96 | 22 | 50 | 76 | 30 | 1,600,000$/5yrs | |||
Devon Guptill | 55 | C | 100.00 | 50 | 41 | 64 | 99 | 82 | 70 | 97 | 97 | 85 | 52 | 61 | 78 | 65 | 52 | 53 | 27 | 50 | 76 | 31 | 1,470,000$/3yrs | |||
Wendel Mackaness | 81 | RW | 100.00 | 99 | 35 | 71 | 73 | 72 | 89 | 69 | 85 | 63 | 57 | 71 | 99 | 92 | 80 | 52 | 52 | 50 | 76 | 25 | 1,990,999$/4yrs | |||
Erin Corderoy (R) | 27 | LW | 100.00 | 31 | 47 | 73 | 84 | 99 | 90 | 99 | 90 | 70 | 57 | 36 | 80 | 47 | 58 | 45 | 72 | 50 | 75 | 22 | 800,000$/2yrs | |||
Maksim Zadoyanny (R) | 0 | LW | 100.00 | 40 | 62 | 72 | 71 | 64 | 84 | 84 | 87 | 61 | 89 | 64 | 64 | 79 | 75 | 82 | 75 | 50 | 74 | 20 | 900,000$/3yrs | |||
Clayton Ferriero (R) | 71 | RW | 100.00 | 99 | 44 | 87 | 95 | 97 | 70 | 55 | 89 | 77 | 49 | 69 | 53 | 86 | 51 | 35 | 73 | 50 | 73 | 23 | 800,000$/4yrs | |||
Deric Murray (R) | 26 | LW | 100.00 | 92 | 32 | 59 | 83 | 50 | 99 | 64 | 82 | 46 | 37 | 79 | 99 | 44 | 91 | 47 | 71 | 50 | 71 | 22 | 800,000$/2yrs | |||
Kirt Legare (R) | 99 | C | 100.00 | 85 | 59 | 78 | 89 | 48 | 88 | 63 | 85 | 82 | 63 | 50 | 59 | 43 | 49 | 45 | 66 | 50 | 70 | 22 | 800,000$/2yrs | |||
Ismo-Pekka Makkonen (R) | 0 | LW | 100.00 | 63 | 42 | 65 | 82 | 71 | 76 | 57 | 90 | 77 | 39 | 62 | 76 | 71 | 34 | 63 | 71 | 50 | 68 | 21 | 1,995,000$/5yrs | |||
Yuvenaly Zhornyak (R) | 86 | D | 100.00 | 90 | 55 | 93 | 80 | 58 | 72 | 60 | 74 | 25 | 81 | 54 | 81 | 78 | 92 | 43 | 59 | 50 | 73 | 23 | 800,000$/4yrs | |||
Misa Ylaja (R) | 78 | D | 100.00 | 66 | 46 | 73 | 81 | 84 | 80 | 62 | 61 | 25 | 49 | 35 | 99 | 74 | 40 | 85 | 64 | 50 | 72 | 22 | 1,950,000$/4yrs | |||
Angel Jandora (R) | 24 | D | 100.00 | 61 | 33 | 90 | 75 | 58 | 74 | 96 | 86 | 25 | 52 | 46 | 83 | 92 | 45 | 32 | 57 | 50 | 70 | 24 | 955,525$/3yrs | |||
Dalen Latour (R) | 0 | D | 100.00 | 53 | 41 | 60 | 91 | 81 | 68 | 63 | 61 | 25 | 62 | 59 | 84 | 56 | 66 | 89 | 75 | 50 | 70 | 21 | 800,000$/3yrs | |||
Vince Varady | 6 | D | 100.00 | 54 | 53 | 57 | 82 | 47 | 86 | 60 | 85 | 25 | 80 | 35 | 98 | 54 | 76 | 90 | 64 | 50 | 69 | 23 | 1,300,000$/4yrs | |||
Teo Rutar (R) | 0 | D | 100.00 | 84 | 31 | 78 | 80 | 70 | 77 | 56 | 78 | 25 | 51 | 30 | 84 | 94 | 35 | 40 | 63 | 50 | 69 | 24 | 1,990,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Graeme Hampshire | 0 | RW | 100.00 | 81 | 36 | 78 | 76 | 94 | 59 | 50 | 80 | 86 | 84 | 44 | 91 | 93 | 53 | 52 | 20 | 50 | 74 | 32 | 900,000$/3yrs | |||
Tim Humonen | 28 | C | 100.00 | 57 | 58 | 94 | 94 | 70 | 67 | 61 | 86 | 90 | 58 | 63 | 89 | 77 | 40 | 60 | 6 | 50 | 74 | 34 | 1,330,000$/2yrs | |||
Coy Hillis | 20 | C | 100.00 | 28 | 36 | 95 | 74 | 66 | 64 | 95 | 87 | 99 | 72 | 84 | 37 | 56 | 74 | 97 | 35 | 50 | 73 | 27 | 1,456,817$/3yrs | |||
Victor Shier | 12 | C | 100.00 | 90 | 52 | 92 | 91 | 67 | 95 | 49 | 97 | 94 | 60 | 57 | 30 | 73 | 53 | 90 | 0 | 50 | 71 | 36 | 1,100,000$/1yrs | |||
Jacobus Adriaanse (R) | 0 | C | 100.00 | 98 | 50 | 56 | 91 | 96 | 82 | 53 | 80 | 60 | 58 | 90 | 24 | 58 | 82 | 60 | 64 | 50 | 71 | 22 | 1,852,000$/4yrs | |||
Rainar Lamminsivu (R) | 0 | LW | 100.00 | 94 | 54 | 91 | 89 | 58 | 69 | 62 | 78 | 74 | 54 | 67 | 61 | 34 | 45 | 43 | 69 | 50 | 69 | 24 | 990,000$/2yrs | |||
Fernando Langlois (R) | 0 | D | 100.00 | 71 | 54 | 97 | 79 | 55 | 66 | 67 | 99 | 25 | 86 | 61 | 71 | 55 | 47 | 61 | 50 | 50 | 71 | 25 | 1,998,999$/4yrs | |||
Macgregor Yorke | 0 | D | 100.00 | 36 | 53 | 86 | 86 | 36 | 95 | 48 | 71 | 25 | 80 | 72 | 85 | 52 | 50 | 94 | 0 | 50 | 67 | 37 | 1,500,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hansjurgen Thom | 33 | 100.00 | 89 | 73 | 76 | 67 | 81 | 81 | 87 | 83 | 71 | 72 | 69 | 77 | 86 | 55 | 50 | 78 | 19 | 900,000$/2yrs |
Fabio-Luca Aebischer | 30 | 100.00 | 73 | 85 | 86 | 68 | 64 | 77 | 83 | 78 | 74 | 64 | 80 | 75 | 66 | 65 | 50 | 75 | 20 | 1,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
Carl-Johan Paakkala | 0 | 100.00 | 79 | 88 | 75 | 73 | 99 | 65 | 88 | 69 | 56 | 65 | 69 | 54 | 59 | 59 | 50 | 76 | 24 | 1,684,690$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Tosha Sotnikov | 86 | 56 | 90 | 95 | 39 | 54 | 71 | RUS | 58 | 3 | 500,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Gabriel Bossé |
|---|
| 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 | Anton Lebed | Northmen (HAR) | RW | 66 | 30 | 41 | 71 | 12 | 98 | 80 | 176 | 213 | 67 | 134 | 14.08% | 20 | 18.37 | 0.00 | 6 | 8 | 14 | 0 | 0 | 0 | 0 | 5 | 3 | 56.94% | 0 | 0 | 1.08 | 0 | 0 | 0.92 | ||
| 2 | Torrey Birdsell | Northmen (HAR) | C | 65 | 30 | 32 | 62 | 15 | 98 | 60 | 127 | 197 | 63 | 101 | 15.23% | 17 | 18.42 | 0.00 | 6 | 5 | 11 | 0 | 0 | 0 | 5 | 6 | 4 | 56.44% | 0 | 1 | 0.95 | 0 | 0 | 0.81 | ||
| 3 | Maksim Zadoyanny | Northmen (HAR) | LW | 69 | 22 | 36 | 58 | 12 | 137 | 85 | 28 | 154 | 47 | 91 | 14.29% | 28 | 18.26 | 0.00 | 4 | 9 | 13 | 0 | 0 | 0 | 1 | 2 | 0 | 45.26% | 0 | 1 | 0.84 | 0 | 0 | 0.51 | ||
| 4 | Abram Korolyuk | Northmen (HAR) | LW | 72 | 19 | 34 | 53 | -6 | 53 | 45 | 52 | 195 | 58 | 108 | 9.74% | 35 | 17.26 | 0.00 | 6 | 8 | 14 | 0 | 0 | 0 | 76 | 4 | 1 | 33.33% | 1 | 0 | 0.74 | 0 | 3 | 0.61 | ||
| 5 | Devon Guptill | Northmen (HAR) | C | 72 | 24 | 21 | 45 | 16 | 32 | 10 | 71 | 213 | 87 | 140 | 11.27% | 21 | 15.14 | 0.00 | 1 | 1 | 2 | 1 | 0 | 1 | 56 | 4 | 0 | 49.61% | 0 | 0 | 0.63 | 1 | 2 | 0.74 | ||
| 6 | Deric Murray | Northmen (HAR) | LW | 67 | 20 | 25 | 45 | 16 | 10 | 0 | 212 | 167 | 46 | 83 | 11.98% | 31 | 17.51 | 0.00 | 1 | 6 | 7 | 0 | 0 | 0 | 50 | 2 | 2 | 46.67% | 0 | 0 | 0.67 | 0 | 0 | 0.83 | ||
| 7 | Erin Corderoy | Northmen (HAR) | LW | 72 | 20 | 24 | 44 | 6 | 71 | 65 | 14 | 139 | 41 | 93 | 14.39% | 25 | 18.49 | 0.00 | 7 | 8 | 15 | 0 | 0 | 0 | 46 | 4 | 1 | 42.39% | 1 | 0 | 0.61 | 0 | 0 | 0.46 | ||
| 8 | Kirt Legare | Northmen (HAR) | C | 63 | 21 | 14 | 35 | 3 | 56 | 30 | 143 | 148 | 47 | 86 | 14.19% | 25 | 14.14 | 0.00 | 5 | 5 | 10 | 0 | 0 | 0 | 0 | 7 | 3 | 51.32% | 0 | 0 | 0.56 | 0 | 0 | 0.54 | ||
| 9 | Clayton Ferriero | Northmen (HAR) | RW | 72 | 13 | 16 | 29 | 6 | 2 | 0 | 125 | 123 | 54 | 82 | 10.57% | 12 | 10.70 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 62.50% | 0 | 0 | 0.40 | 2 | 3 | 0.52 | ||
| 10 | Victor Shier | Northmen (HAR) | C | 43 | 11 | 16 | 27 | -1 | 20 | 20 | 59 | 101 | 31 | 67 | 10.89% | 7 | 12.88 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 50.38% | 0 | 0 | 0.63 | 0 | 0 | 0.59 | ||
| 11 | Lindon Stallworth | Northmen (HAR) | RW | 38 | 13 | 10 | 23 | 7 | 7 | 5 | 18 | 94 | 29 | 49 | 13.83% | 18 | 12.82 | 0.00 | 2 | 2 | 4 | 1 | 0 | 1 | 7 | 2 | 1 | 41.88% | 0 | 1 | 0.61 | 0 | 0 | 0.71 | ||
| 12 | Teo Rutar | Northmen (HAR) | D | 70 | 1 | 20 | 21 | 3 | 28 | 10 | 143 | 75 | 35 | 38 | 1.33% | 82 | 20.67 | 0.00 | 0 | 3 | 3 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0.30 | 2 | 2 | 0.32 | ||
| 13 | Angel Jandora | Northmen (HAR) | D | 57 | 3 | 17 | 20 | -1 | 10 | 10 | 34 | 78 | 23 | 40 | 3.85% | 57 | 21.44 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.35 | 0 | 4 | 0.36 | ||
| 14 | Dalen Latour | Northmen (HAR) | D | 72 | 1 | 19 | 20 | 4 | 50 | 10 | 77 | 83 | 44 | 38 | 1.20% | 107 | 24.09 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 64 | 0 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 0 | 0.25 | ||
| 15 | Ismo-Pekka Makkonen | Northmen (HAR) | LW | 70 | 5 | 13 | 18 | -2 | 14 | 10 | 84 | 65 | 22 | 44 | 7.69% | 17 | 12.14 | 0.00 | 0 | 3 | 3 | 0 | 0 | 0 | 1 | 1 | 1 | 48.15% | 0 | 0 | 0.26 | 0 | 0 | 0.25 | ||
| 16 | Misa Ylaja | Northmen (HAR) | D | 70 | 0 | 17 | 17 | 17 | 15 | 5 | 89 | 57 | 21 | 26 | 0.00% | 69 | 18.54 | 0.00 | 0 | 1 | 1 | 0 | 1 | 1 | 68 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.33 | ||
| 17 | Wendel Mackaness | Northmen (HAR) | RW | 69 | 6 | 7 | 13 | -2 | 10 | 0 | 129 | 82 | 22 | 49 | 7.32% | 13 | 10.12 | 0.00 | 0 | 1 | 1 | 0 | 1 | 1 | 70 | 1 | 0 | 43.82% | 0 | 0 | 0.19 | 0 | 4 | 0.24 | ||
| 18 | Vince Varady | Northmen (HAR) | D | 52 | 0 | 12 | 12 | 15 | 61 | 35 | 53 | 39 | 18 | 16 | 0.00% | 45 | 18.33 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.15 | ||
| 19 | Tim Humonen | Northmen (HAR) | C | 11 | 3 | 3 | 6 | -5 | 22 | 10 | 5 | 21 | 8 | 12 | 14.29% | 2 | 14.09 | 0.00 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 2 | 0 | 54.63% | 0 | 0 | 0.55 | 0 | 0 | 0.06 | ||
| 20 | Fernando Langlois | Northmen (HAR) | D | 27 | 1 | 4 | 5 | 7 | 5 | 5 | 10 | 19 | 2 | 8 | 5.26% | 12 | 11.30 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 1 | 0 | 0.00% | 0 | 0 | 0.19 | 0 | 0 | 0.25 | ||
| 21 | Yuvenaly Zhornyak | Northmen (HAR) | D | 22 | 1 | 4 | 5 | 1 | 10 | 10 | 42 | 23 | 7 | 11 | 4.35% | 25 | 19.06 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 1 | 0 | 0.23 | 0 | 0 | 0.26 | ||
| 22 | Coy Hillis | Northmen (HAR) | C | 4 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 3 | 2 | 2 | 33.33% | 0 | 9.51 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.22% | 0 | 0 | 0.75 | 0 | 0 | 0.70 | ||
| 23 | Graeme Hampshire | Northmen (HAR) | RW | 7 | 0 | 3 | 3 | 3 | 2 | 0 | 5 | 4 | 3 | 3 | 0.00% | 1 | 6.45 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 0 | 0 | 0.43 | 0 | 0 | 0.46 | ||
| 24 | Macgregor Yorke | Northmen (HAR) | D | 13 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 15 | 5 | 7 | 0.00% | 12 | 14.55 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0.15 | 0 | 0 | 0.22 | ||
| Team Total or Average | 1243 | 245 | 392 | 637 | 127 | 811 | 505 | 1697 | 2308 | 782 | 1328 | 10.62% | 681 | 16.54 | 41 | 65 | 106 | 1332 | 2 | 2 | 4 | 601 | 43 | 20 | 51.25% | 4174 | 537 | 378 | 3 | 3 | 0.62 | 5 | 18 |
| 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 | Hansjurgen Thom | Northmen (HAR) | 49 | 33 | 11 | 3 | 0.910 | 2.78 | 2850 | 8 | 0 | 132 | 1474 | 680 | 3 | 0 | 0.875 | 8 | 47 | 23 | 7 | 1 | 1 |
| 2 | Fabio-Luca Aebischer | Northmen (HAR) | 27 | 15 | 8 | 2 | 0.896 | 3.16 | 1500 | 2 | 1 | 79 | 757 | 383 | 1 | 0 | 1.000 | 10 | 25 | 45 | 2 | 2 | 0 |
| Team Total or Average | 76 | 48 | 19 | 5 | 0.905 | 2.91 | 4351 | 10 | 1 | 211 | 2231 | 1063 | 4 | 0 | 0.944 | 18 | 72 | 68 | 9 | 3 | 1 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Abram Korolyuk ![]() | LW | 31 | 1,380,000$ | 1,380,000$ | 1,779,000$ | 1,779,000$ | 1,779,000$ | 1,779,000$ | |||
Angel Jandora | D | 24 | 955,525$ | 955,525$ | 955,525$ | 955,525$ | |||||
Anton Lebed ![]() | RW | 30 | 1,450,000$ | 1,450,000$ | 1,450,000$ | ||||||
Carl-Johan Paakkala | G | 24 | 1,684,690$ | 1,684,690$ | 1,684,690$ | 1,684,690$ | |||||
Clayton Ferriero | RW | 23 | 800,000$ | 800,000$ | 980,000$ | 980,000$ | 980,000$ | ||||
Coy Hillis ![]() | C | 27 | 1,456,817$ | 1,456,817$ | 1,456,817$ | 1,456,817$ | |||||
Dalen Latour | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Deric Murray | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Devon Guptill ![]() | C | 31 | 1,470,000$ | 1,470,000$ | 1,470,000$ | 1,470,000$ | |||||
Erin Corderoy | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Fabio-Luca Aebischer | G | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Fernando Langlois ![]() | D | 25 | 1,998,999$ | 1,998,999$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||
Graeme Hampshire ![]() | RW | 32 | 900,000$ | 900,000$ | 983,000$ | 983,000$ | |||||
Hansjurgen Thom | G | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Ismo-Pekka Makkonen | LW | 21 | 1,995,000$ | 1,995,000$ | 1,995,000$ | 1,995,000$ | 1,995,000$ | 1,995,000$ | |||
Jacobus Adriaanse | C | 22 | 1,852,000$ | 1,852,000$ | 1,852,000$ | 1,852,000$ | 1,852,000$ | ||||
Kirt Legare | C | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Lindon Stallworth ![]() | RW | 30 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | |||
Macgregor Yorke ![]() | D | 37 | 1,500,000$ | 1,500,000$ | |||||||
Maksim Zadoyanny | LW | 20 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Misa Ylaja | D | 22 | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | ||||
Rainar Lamminsivu | LW | 24 | 990,000$ | 990,000$ | 990,000$ | ||||||
Teo Rutar | D | 24 | 1,990,000$ | 1,990,000$ | 1,990,000$ | ||||||
Tim Humonen ![]() | C | 34 | 1,330,000$ | 1,330,000$ | 1,330,000$ | ||||||
Torrey Birdsell ![]() | C | 33 | 1,700,000$ | 1,700,000$ | 1,998,501$ | 1,998,501$ | 1,998,501$ | ||||
Victor Shier ![]() | C | 36 | 1,100,000$ | 1,100,000$ | |||||||
Vince Varady | D | 23 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||
Wendel Mackaness ![]() | RW | 25 | 1,990,999$ | 1,990,999$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | ||||
Yuvenaly Zhornyak | D | 23 | 800,000$ | 800,000$ | 1,978,000$ | 1,978,000$ | 1,978,000$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Outlaws | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 53 | 90 | 96 | 13 | 64 | 732 | 800 | 817 | 41 | 76 | 24 | 38 | 58 | 5 | 2 | 40.00% | 4 | 4 | 0.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 25.0% | 7.8% | 82.9% | 90.7 | Unlucky |
| 2 | Jacks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 53 | 90 | 96 | 13 | 68 | 732 | 800 | 817 | 41 | 69 | 18 | 57 | 45 | 8 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 30.0% | 4.4% | 85.5% | 89.9 | Unlucky |
| 3 | Rampage | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 14 | -5 | 2 | 0.333 | 9 | 15 | 24 | 0 | 0 | 53 | 90 | 96 | 13 | 106 | 732 | 800 | 817 | 41 | 91 | 36 | 92 | 72 | 2 | 1 | 50.00% | 6 | 3 | 50.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 42.1% | 8.5% | 84.6% | 93.1 | Unlucky |
| 4 | Kings | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 5 | 9 | 0 | 1 | 53 | 90 | 96 | 13 | 66 | 732 | 800 | 817 | 41 | 45 | 28 | 28 | 37 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 100.0% | 6.1% | 97.8% | 103.8 | DULL |
| 5 | Wolverines | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 53 | 90 | 96 | 13 | 42 | 732 | 800 | 817 | 41 | 35 | 8 | 27 | 21 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 25.0% | 2.4% | 88.6% | 91.0 | Unlucky |
| 6 | Comets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 53 | 90 | 96 | 13 | 54 | 732 | 800 | 817 | 41 | 62 | 24 | 14 | 40 | 6 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 40.0% | 7.4% | 88.7% | 96.1 | Unlucky |
| 7 | Crusaders | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 9 | 9 | 8 | 1.000 | 18 | 32 | 50 | 0 | 0 | 53 | 90 | 96 | 13 | 126 | 732 | 800 | 817 | 41 | 125 | 40 | 32 | 115 | 9 | 3 | 33.33% | 1 | 0 | 100.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 62.5% | 14.3% | 92.8% | 107.1 | LUCKY |
| 8 | Bulldogs | 8 | 5 | 1 | 0 | 1 | 0 | 1 | 0 | 33 | 23 | 10 | 14 | 0.875 | 33 | 51 | 84 | 0 | 0 | 53 | 90 | 96 | 13 | 250 | 732 | 800 | 817 | 41 | 276 | 90 | 79 | 197 | 17 | 4 | 23.53% | 11 | 2 | 81.82% | 1 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 58.0% | 13.2% | 91.7% | 104.9 | LUCKY |
| 9 | Rock | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 53 | 90 | 96 | 13 | 60 | 732 | 800 | 817 | 41 | 56 | 21 | 21 | 57 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 54.5% | 10.0% | 91.1% | 101.1 | Unlucky |
| 10 | Auroras | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 53 | 90 | 96 | 13 | 63 | 732 | 800 | 817 | 41 | 48 | 26 | 14 | 63 | 7 | 3 | 42.86% | 2 | 0 | 100.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 50.0% | 9.5% | 93.8% | 103.3 | LUCKY |
| 11 | Jazz | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0.333 | 10 | 15 | 25 | 0 | 0 | 53 | 90 | 96 | 13 | 106 | 732 | 800 | 817 | 41 | 84 | 26 | 57 | 82 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 1 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 50.0% | 9.4% | 88.1% | 97.5 | FUN |
| 12 | Hornets | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | -2 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 53 | 90 | 96 | 13 | 69 | 732 | 800 | 817 | 41 | 72 | 25 | 8 | 60 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 42.9% | 4.3% | 93.1% | 97.4 | DULL |
| 13 | Wolfpack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 2 | 0.500 | 11 | 17 | 28 | 0 | 0 | 53 | 90 | 96 | 13 | 82 | 732 | 800 | 817 | 41 | 56 | 16 | 30 | 52 | 8 | 3 | 37.50% | 5 | 4 | 20.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 57.1% | 13.4% | 82.1% | 95.6 | FUN |
| 14 | Vipers | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 53 | 90 | 96 | 13 | 63 | 732 | 800 | 817 | 41 | 55 | 22 | 14 | 63 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 61.5% | 12.7% | 90.9% | 103.6 | FUN |
| 15 | Devils | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 53 | 90 | 96 | 13 | 59 | 732 | 800 | 817 | 41 | 70 | 27 | 15 | 46 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 71.4% | 8.5% | 94.3% | 102.8 | DULL |
| 16 | Guppies | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 5 | 7 | 4 | 1.000 | 12 | 21 | 33 | 0 | 0 | 53 | 90 | 96 | 13 | 72 | 732 | 800 | 817 | 41 | 58 | 10 | 27 | 40 | 8 | 3 | 37.50% | 1 | 0 | 100.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 64.3% | 16.7% | 91.4% | 108.0 | LUCKY |
| 17 | Stingers | 7 | 6 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 15 | 12 | 14 | 1.000 | 27 | 44 | 71 | 0 | 0 | 53 | 90 | 96 | 13 | 230 | 732 | 800 | 817 | 41 | 208 | 58 | 148 | 152 | 17 | 5 | 29.41% | 19 | 6 | 68.42% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 71.0% | 11.7% | 92.8% | 104.5 | LUCKY |
| 18 | Schooners | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 5 | 4 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 53 | 90 | 96 | 13 | 54 | 732 | 800 | 817 | 41 | 51 | 21 | 27 | 48 | 6 | 3 | 50.00% | 1 | 0 | 100.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 54.5% | 16.7% | 90.2% | 106.9 | FUN |
| 19 | Hydra | 4 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 12 | 10 | 2 | 7 | 0.875 | 12 | 18 | 30 | 0 | 0 | 53 | 90 | 96 | 13 | 147 | 732 | 800 | 817 | 41 | 128 | 47 | 34 | 74 | 8 | 2 | 25.00% | 7 | 3 | 57.14% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 58.8% | 8.2% | 92.2% | 100.4 | DULL |
| 20 | Phantoms | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 53 | 90 | 96 | 13 | 68 | 732 | 800 | 817 | 41 | 66 | 28 | 4 | 46 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 60.0% | 11.8% | 92.4% | 104.2 | LUCKY |
| 21 | Spartans | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 6 | 1.000 | 11 | 20 | 31 | 0 | 0 | 53 | 90 | 96 | 13 | 81 | 732 | 800 | 817 | 41 | 95 | 24 | 23 | 66 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 56.3% | 13.6% | 91.6% | 105.2 | LUCKY |
| 22 | Yeti | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 53 | 90 | 96 | 13 | 25 | 732 | 800 | 817 | 41 | 37 | 10 | 11 | 17 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 75.0% | 16.0% | 94.6% | 110.6 | LUCKY |
| 23 | Wild Wings | 8 | 3 | 0 | 0 | 2 | 1 | 2 | 0 | 30 | 21 | 9 | 15 | 0.938 | 30 | 46 | 76 | 0 | 0 | 53 | 90 | 96 | 13 | 283 | 732 | 800 | 817 | 41 | 232 | 70 | 68 | 223 | 24 | 6 | 25.00% | 9 | 0 | 100.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 53.3% | 10.6% | 90.9% | 101.5 | FUN |
| 24 | Drillers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 9 | 15 | 0 | 0 | 53 | 90 | 96 | 13 | 66 | 732 | 800 | 817 | 41 | 71 | 14 | 12 | 53 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 38.5% | 9.1% | 88.7% | 97.8 | FUN |
| 25 | Swamp Puppies | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 53 | 90 | 96 | 13 | 68 | 732 | 800 | 817 | 41 | 65 | 24 | 25 | 54 | 8 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 40.0% | 8.8% | 86.2% | 95.0 | Unlucky |
| _Vs Division | 19 | 14 | 1 | 0 | 4 | 1 | 3 | 0 | 70 | 54 | 16 | 43 | 1.132 | 70 | 112 | 182 | 0 | 0 | 53 | 90 | 96 | 13 | 602 | 732 | 800 | 817 | 41 | 611 | 196 | 266 | 443 | 48 | 9 | 18.75% | 32 | 9 | 71.88% | 1 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 57.5% | 11.6% | 91.2% | 102.8 | LUCKY | |
| _Vs Conference | 48 | 26 | 9 | 0 | 6 | 4 | 3 | 0 | 175 | 136 | 39 | 74 | 0.771 | 175 | 284 | 459 | 0 | 0 | 53 | 90 | 96 | 13 | 1565 | 732 | 800 | 817 | 41 | 1473 | 481 | 620 | 1180 | 112 | 26 | 23.21% | 69 | 16 | 76.81% | 2 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 55.4% | 11.2% | 90.8% | 101.9 | FUN | |
| _Since Last GM Reset | 72 | 36 | 19 | 0 | 8 | 5 | 4 | 0 | 251 | 211 | 40 | 101 | 0.701 | 251 | 409 | 660 | 0 | 1 | 53 | 90 | 96 | 13 | 2372 | 732 | 800 | 817 | 41 | 2231 | 737 | 905 | 1781 | 169 | 41 | 24.26% | 109 | 34 | 68.81% | 2 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 54.3% | 10.6% | 90.5% | 101.1 | FUN | |
| Total | 72 | 36 | 19 | 0 | 8 | 5 | 4 | 0 | 251 | 211 | 40 | 101 | 0.701 | 251 | 409 | 660 | 0 | 1 | 53 | 90 | 96 | 13 | 2372 | 732 | 800 | 817 | 41 | 2231 | 737 | 905 | 1781 | 169 | 41 | 24.26% | 109 | 34 | 68.81% | 2 | 822 | 1565 | 52.52% | 767 | 1533 | 50.03% | 551 | 1031 | 53.44% | 1640 | 1004 | 1469 | 614 | 1247 | 633 | 54.3% | 10.6% | 90.5% | 101.1 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 17 |
| Defensive Zone | 20 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1565 |
| Neutral Zone Start | 1031 |
| Defensive Zone Start | 1533 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2140 |
| Faceoffs Lost | 1989 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.2 | 9.57 |
| 2nd Period | 21.3 | 20.31 |
| 3rd Period | 32.6 | 30.68 |
| Overtime | 33.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 3.3 | 2.67 |
| Overtime | 3.5 | 2.83 |
| Even Strenght Goal | 208 |
|---|---|
| PP Goal | 41 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 22 | 26 |
| Lost | 12 | 7 |
| Overtime Lost | 1 | 4 |
| PP Attempt | 169 |
|---|---|
| PP Goal | 41 |
| PK Attempt | 109 |
| PK Goal Against | 34 |
| Home | |
|---|---|
| Shots For | 32.9 |
| Shots Against | 31.0 |
| Goals For | 3.5 |
| Goals Against | 2.9 |
| Hits | 24.7 |
| Shots Blocked | 10.2 |
| Pim | 12.6 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,539,403$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Rimouski | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 100355 | 66777 | |||
| Attendance PCT | 95.58% | 95.40% | 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 |
| 5 | 4775 - 95.50% | 167,666$ | 5,868,306$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,539,403$ | 4,539,403$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 4,219,648$ | 4,539,403$ | 3,780,887$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 838,329$ | 18 | 34,282$ | 617,076$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 617,076$ | 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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