| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 28 | 12 | 15 | 1 | 25 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sterling Capelle | 65 | C | 100.00 | 68 | 53 | 85 | 55 | 90 | 73 | 66 | 68 | 94 | 98 | 92 | 63 | 46 | 81 | 94 | 20 | 50 | 78 | 33 | 1,999,999$/1yrs | |||
Kjell Van Der Kooi | 92 | C | 100.00 | 47 | 47 | 81 | 57 | 98 | 98 | 76 | 94 | 96 | 94 | 38 | 66 | 47 | 74 | 41 | 53 | 50 | 78 | 25 | 1,813,000$/1yrs | |||
Ignat Maksimenko (R) | 94 | RW | 100.00 | 83 | 63 | 44 | 92 | 97 | 91 | 78 | 54 | 69 | 67 | 73 | 91 | 63 | 67 | 73 | 60 | 50 | 77 | 19 | 900,000$/2yrs | |||
Leo Panas | 16 | C | 100.00 | 53 | 39 | 98 | 88 | 62 | 99 | 72 | 80 | 68 | 51 | 99 | 75 | 78 | 85 | 69 | 3 | 50 | 76 | 33 | 1,830,462$/2yrs | |||
Curtis Boogard (R) | 13 | RW | 100.00 | 78 | 50 | 42 | 85 | 76 | 93 | 80 | 54 | 74 | 79 | 65 | 79 | 70 | 63 | 62 | 61 | 50 | 75 | 20 | 1,000,000$/2yrs | |||
Sacha Taverner | 23 | LW | 100.00 | 98 | 37 | 64 | 53 | 62 | 93 | 85 | 80 | 98 | 79 | 61 | 58 | 37 | 55 | 48 | 0 | 50 | 74 | 39 | 1,458,630$/1yrs | |||
Anton Kurali | 36 | C | 100.00 | 73 | 61 | 70 | 91 | 79 | 66 | 72 | 67 | 65 | 88 | 48 | 77 | 82 | 41 | 36 | 32 | 50 | 74 | 31 | 1,350,000$/1yrs | |||
Billy Fonteyne | 28 | LW | 99.00 | 76 | 56 | 94 | 61 | 67 | 63 | 71 | 68 | 98 | 93 | 51 | 73 | 34 | 86 | 90 | 34 | 50 | 73 | 29 | 998,354$/1yrs | |||
Boof Eccleston | 74 | LW | 100.00 | 40 | 41 | 63 | 77 | 84 | 89 | 51 | 82 | 92 | 85 | 62 | 52 | 95 | 35 | 38 | 34 | 50 | 72 | 28 | 1,049,000$/2yrs | |||
Gore Tenney | 52 | LW | 100.00 | 39 | 59 | 63 | 90 | 70 | 64 | 63 | 85 | 80 | 73 | 41 | 75 | 34 | 82 | 54 | 15 | 50 | 69 | 32 | 700,000$/4yrs | |||
Duncan Dorowicz (R) | 75 | RW | 100.00 | 73 | 59 | 76 | 91 | 78 | 82 | 65 | 61 | 90 | 42 | 52 | 65 | 59 | 69 | 79 | 53 | 50 | 68 | 25 | 1,200,000$/4yrs | |||
Lorenz Gabel (R) | 63 | RW | 100.00 | 76 | 65 | 50 | 77 | 72 | 78 | 63 | 48 | 59 | 59 | 69 | 66 | 54 | 63 | 58 | 93 | 50 | 65 | 22 | 700,000$/5yrs | |||
Nichlas Bjorklund | 19 | D | 100.00 | 43 | 62 | 96 | 78 | 80 | 75 | 52 | 95 | 25 | 80 | 44 | 99 | 92 | 62 | 45 | 53 | 50 | 74 | 26 | 1,800,000$/1yrs | |||
Mateo Kolar (R) | 53 | D | 100.00 | 58 | 62 | 57 | 72 | 79 | 85 | 78 | 74 | 68 | 82 | 73 | 62 | 58 | 73 | 69 | 53 | 50 | 74 | 20 | 800,000$/3yrs | |||
Zack Blanch | 3 | D | 100.00 | 83 | 60 | 65 | 85 | 82 | 63 | 63 | 74 | 25 | 42 | 69 | 88 | 80 | 91 | 40 | 26 | 50 | 72 | 31 | 1,990,000$/3yrs | |||
Saku-Antti Josefsson (R) | 47 | D | 100.00 | 51 | 62 | 70 | 71 | 79 | 85 | 72 | 64 | 46 | 74 | 72 | 63 | 59 | 63 | 48 | 60 | 50 | 71 | 20 | 800,000$/3yrs | |||
Tristen Mailloux (R) | 41 | D | 100.00 | 79 | 48 | 56 | 80 | 37 | 99 | 96 | 84 | 25 | 40 | 63 | 51 | 68 | 71 | 57 | 63 | 50 | 68 | 22 | 800,000$/2yrs | |||
Konrad Turkiewicz (R) | 4 | D | 100.00 | 26 | 57 | 71 | 56 | 71 | 82 | 79 | 78 | 25 | 81 | 31 | 79 | 87 | 47 | 51 | 63 | 50 | 67 | 23 | 800,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Ustin Yenchev | 77 | C | 100.00 | 94 | 54 | 91 | 52 | 85 | 67 | 67 | 71 | 98 | 53 | 88 | 80 | 97 | 66 | 87 | 3 | 50 | 73 | 36 | 1,399,999$/1yrs | |||
Eetu-Pekka Klemettinen | 46 | C | 100.00 | 99 | 39 | 73 | 56 | 62 | 57 | 67 | 80 | 81 | 89 | 48 | 68 | 92 | 36 | 97 | 22 | 50 | 70 | 31 | 700,000$/4yrs | |||
Bert Schedin (R) | 76 | LW | 100.00 | 64 | 50 | 91 | 86 | 50 | 98 | 60 | 68 | 79 | 48 | 83 | 50 | 55 | 88 | 49 | 59 | 50 | 68 | 22 | 800,000$/2yrs | |||
Jean-Francois Soehner | 84 | D | 100.00 | 32 | 44 | 96 | 61 | 78 | 53 | 56 | 68 | 25 | 84 | 41 | 94 | 98 | 60 | 56 | 5 | 50 | 67 | 34 | 896,960$/4yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marc-Etienne Hansey | 31 | 100.00 | 99 | 80 | 97 | 80 | 67 | 62 | 78 | 63 | 70 | 78 | 91 | 76 | 41 | 55 | 50 | 77 | 23 | 1,700,000$/4yrs |
Zachary Andjelic | 34 | 100.00 | 65 | 92 | 79 | 73 | 84 | 47 | 56 | 82 | 92 | 84 | 66 | 66 | 47 | 61 | 50 | 75 | 25 | 1,600,000$/2yrs |
| Scratches | ||||||||||||||||||||
Tyson Joe | 35 | 100.00 | 71 | 75 | 74 | 59 | 77 | 80 | 62 | 68 | 79 | 64 | 54 | 72 | 73 | 55 | 50 | 71 | 20 | 800,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Wesley Gillis | 64 | 61 | 39 | 70 | 53 | 96 | 52 | CAN | 46 | 1 | 200,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Casey Schuhmacher |
|---|
| 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 | Kjell Van Der Kooi | Rock (DYN) | C | 28 | 6 | 15 | 21 | -8 | 10 | 10 | 32 | 76 | 31 | 29 | 7.89% | 9 | 18.94 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 54 | 1 | 1 | 57.14% | 0 | 0 | 0.75 | 0 | 1 | 0.62 | ||
| 2 | Leo Panas | Rock (DYN) | C | 20 | 10 | 8 | 18 | -1 | 10 | 10 | 15 | 92 | 37 | 39 | 10.87% | 7 | 20.08 | 0.00 | 0 | 3 | 3 | 1 | 0 | 1 | 40 | 2 | 1 | 48.77% | 0 | 0 | 0.90 | 1 | 1 | 0.95 | ||
| 3 | Billy Fonteyne | Rock (DYN) | LW | 28 | 6 | 9 | 15 | -7 | 47 | 25 | 45 | 50 | 11 | 23 | 12.00% | 5 | 18.69 | 0.00 | 1 | 2 | 3 | 0 | 0 | 0 | 51 | 0 | 0 | 68.75% | 0 | 0 | 0.54 | 0 | 0 | 0.17 | ||
| 4 | Boof Eccleston | Rock (DYN) | LW | 28 | 4 | 10 | 14 | -4 | 10 | 0 | 16 | 59 | 16 | 42 | 6.78% | 2 | 13.21 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 6 | 4 | 0 | 53.85% | 0 | 0 | 0.50 | 0 | 0 | 0.43 | ||
| 5 | Curtis Boogard | Rock (DYN) | RW | 28 | 4 | 10 | 14 | -13 | 31 | 5 | 91 | 55 | 15 | 31 | 7.27% | 18 | 18.81 | 0.00 | 1 | 1 | 2 | 1 | 0 | 1 | 36 | 0 | 0 | 33.33% | 0 | 0 | 0.50 | 0 | 0 | 0.25 | ||
| 6 | Saku-Antti Josefsson | Rock (DYN) | D | 28 | 1 | 12 | 13 | -5 | 75 | 55 | 19 | 16 | 7 | 16 | 6.25% | 25 | 20.54 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 51 | 0 | 0 | 0.00% | 0 | 0 | 0.46 | 0 | 1 | -0.13 | ||
| 7 | Anton Kurali | Rock (DYN) | C | 28 | 3 | 7 | 10 | -5 | 29 | 25 | 35 | 30 | 5 | 12 | 10.00% | 5 | 11.02 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 41.24% | 0 | 0 | 0.36 | 0 | 0 | 0.11 | ||
| 8 | Gore Tenney | Rock (DYN) | LW | 22 | 7 | 3 | 10 | 3 | 19 | 15 | 8 | 41 | 8 | 21 | 17.07% | 3 | 11.28 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 2 | 33.33% | 0 | 0 | 0.45 | 0 | 0 | 0.39 | ||
| 9 | Ignat Maksimenko | Rock (DYN) | RW | 19 | 4 | 6 | 10 | -2 | 66 | 40 | 54 | 38 | 11 | 20 | 10.53% | 13 | 16.89 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.53 | 0 | 0 | -0.02 | ||
| 10 | Mateo Kolar | Rock (DYN) | D | 25 | 2 | 8 | 10 | 4 | 28 | 20 | 29 | 30 | 11 | 18 | 6.67% | 32 | 19.92 | 0.00 | 1 | 0 | 1 | 0 | 1 | 1 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.31 | ||
| 11 | Bert Schedin | Rock (DYN) | LW | 14 | 7 | 1 | 8 | 4 | 0 | 0 | 8 | 46 | 9 | 21 | 15.22% | 2 | 9.37 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.57 | 0 | 0 | 0.83 | ||
| 12 | Duncan Dorowicz | Rock (DYN) | RW | 18 | 2 | 5 | 7 | -1 | 12 | 10 | 22 | 18 | 4 | 9 | 11.11% | 1 | 11.42 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 66.67% | 0 | 0 | 0.39 | 0 | 0 | 0.23 | ||
| 13 | Sacha Taverner | Rock (DYN) | LW | 18 | 3 | 3 | 6 | -10 | 2 | 0 | 43 | 32 | 11 | 17 | 9.38% | 10 | 19.16 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 54.84% | 0 | 0 | 0.33 | 0 | 0 | 0.25 | ||
| 14 | Nichlas Bjorklund | Rock (DYN) | D | 15 | 1 | 4 | 5 | -2 | 5 | 5 | 4 | 30 | 7 | 13 | 3.33% | 12 | 23.19 | 0.00 | 0 | 0 | 0 | 0 | 2 | 2 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.29 | ||
| 15 | Tristen Mailloux | Rock (DYN) | D | 26 | 1 | 4 | 5 | -10 | 20 | 0 | 46 | 22 | 8 | 15 | 4.55% | 12 | 19.79 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0 | 0 | 0.00% | 0 | 0 | 0.19 | 0 | 0 | -0.01 | ||
| 16 | Ustin Yenchev | Rock (DYN) | C | 17 | 0 | 4 | 4 | 1 | 0 | 0 | 13 | 16 | 7 | 18 | 0.00% | 6 | 9.59 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62.26% | 0 | 0 | 0.24 | 0 | 0 | 0.30 | ||
| 17 | Lorenz Gabel | Rock (DYN) | RW | 21 | 1 | 3 | 4 | 6 | 9 | 5 | 32 | 13 | 3 | 2 | 7.69% | 10 | 8.99 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.19 | 0 | 0 | 0.25 | ||
| 18 | Zack Blanch | Rock (DYN) | D | 28 | 0 | 3 | 3 | -4 | 41 | 35 | 62 | 32 | 14 | 15 | 0.00% | 44 | 22.04 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | -0.02 | ||
| 19 | Sterling Capelle | Rock (DYN) | C | 11 | 2 | 0 | 2 | 1 | 2 | 0 | 16 | 21 | 9 | 12 | 9.52% | 2 | 12.44 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62.30% | 0 | 0 | 0.18 | 0 | 0 | 0.36 | ||
| 20 | Jean-Francois Soehner | Rock (DYN) | D | 18 | 2 | 0 | 2 | -4 | 10 | 10 | 2 | 11 | 5 | 4 | 18.18% | 18 | 18.18 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 1 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | -0.02 | ||
| 21 | Konrad Turkiewicz | Rock (DYN) | D | 28 | 0 | 2 | 2 | -7 | 39 | 35 | 6 | 11 | 4 | 5 | 0.00% | 26 | 15.80 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | -0.22 | ||
| Team Total or Average | 468 | 66 | 117 | 183 | -64 | 465 | 305 | 598 | 739 | 233 | 382 | 8.93% | 262 | 16.50 | 7 | 13 | 20 | 478 | 2 | 3 | 5 | 435 | 9 | 6 | 53.00% | 1317 | 161 | 188 | 0 | 0 | 0.47 | 1 | 3 |
| 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 | Zachary Andjelic | Rock (DYN) | 13 | 8 | 5 | 0 | 0.912 | 2.74 | 766 | 0 | 0 | 35 | 398 | 244 | 1 | 1 | 0.000 | 0 | 13 | 8 | 2 | 0 | 1 |
| 2 | Marc-Etienne Hansey | Rock (DYN) | 14 | 4 | 9 | 0 | 0.881 | 3.79 | 760 | 0 | 0 | 48 | 403 | 226 | 2 | 0 | 0.750 | 4 | 13 | 14 | 1 | 0 | 0 |
| 3 | Tyson Joe | Rock (DYN) | 3 | 0 | 1 | 1 | 0.873 | 3.77 | 159 | 0 | 0 | 10 | 79 | 36 | 0 | 0 | 0.000 | 0 | 2 | 6 | 0 | 0 | 0 |
| Team Total or Average | 30 | 12 | 15 | 1 | 0.894 | 3.31 | 1686 | 0 | 0 | 93 | 880 | 506 | 3 | 1 | 0.750 | 4 | 28 | 28 | 3 | 0 | 1 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Anton Kurali ![]() | C | 31 | 1,350,000$ | 1,350,000$ | |||||||
Bert Schedin | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Billy Fonteyne ![]() | LW | 29 | 998,354$ | 998,354$ | |||||||
Boof Eccleston ![]() | LW | 28 | 1,049,000$ | 1,049,000$ | 1,049,000$ | ||||||
Curtis Boogard | RW | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Duncan Dorowicz ![]() | RW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||
Eetu-Pekka Klemettinen ![]() | C | 31 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | 700,000$ | ||||
Gore Tenney ![]() | LW | 32 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | 700,000$ | ||||
Ignat Maksimenko | RW | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Jean-Francois Soehner ![]() | D | 34 | 896,960$ | 896,960$ | 896,960$ | 896,960$ | 896,960$ | ||||
Kjell Van Der Kooi ![]() | C | 25 | 1,813,000$ | 1,813,000$ | |||||||
Konrad Turkiewicz | D | 23 | 800,000$ | 800,000$ | |||||||
Leo Panas ![]() | C | 33 | 1,830,462$ | 1,830,462$ | 1,830,462$ | ||||||
Lorenz Gabel | RW | 22 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||
Marc-Etienne Hansey | G | 23 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||
Mateo Kolar | D | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Nichlas Bjorklund ![]() | D | 26 | 1,800,000$ | 1,800,000$ | |||||||
Sacha Taverner ![]() | LW | 39 | 1,458,630$ | 1,458,630$ | |||||||
Saku-Antti Josefsson | D | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Sterling Capelle ![]() | C | 33 | 1,999,999$ | 1,999,999$ | |||||||
Tristen Mailloux | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Tyson Joe | G | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Ustin Yenchev ![]() | C | 36 | 1,399,999$ | 1,399,999$ | |||||||
Zachary Andjelic ![]() | G | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Zack Blanch ![]() | D | 31 | 1,990,000$ | 1,990,000$ | 1,990,000$ | 1,990,000$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Outlaws | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 10 | 35 | 31 | 3 | 35 | 260 | 323 | 278 | 9 | 42 | 8 | 21 | 21 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 42.9% | 8.6% | 88.1% | 96.7 | Unlucky |
| 2 | Rampage | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 10 | 35 | 31 | 3 | 54 | 260 | 323 | 278 | 9 | 70 | 25 | 54 | 52 | 5 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 40.0% | 7.4% | 87.1% | 94.6 | Unlucky |
| 3 | Wolverines | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 10 | 35 | 31 | 3 | 57 | 260 | 323 | 278 | 9 | 65 | 26 | 24 | 56 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 61.5% | 17.5% | 92.3% | 109.9 | LUCKY |
| 4 | Comets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 10 | 35 | 31 | 3 | 34 | 260 | 323 | 278 | 9 | 23 | 10 | 14 | 25 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 42.9% | 8.8% | 82.6% | 91.4 | Unlucky |
| 5 | Crusaders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 10 | 35 | 31 | 3 | 33 | 260 | 323 | 278 | 9 | 42 | 11 | 8 | 27 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 50.0% | 6.1% | 92.9% | 98.9 | DULL |
| 6 | Jazz | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 10 | 35 | 31 | 3 | 59 | 260 | 323 | 278 | 9 | 72 | 23 | 32 | 60 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 42.9% | 5.1% | 93.1% | 98.1 | DULL |
| 7 | Vipers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 6 | 11 | 0 | 0 | 10 | 35 | 31 | 3 | 65 | 260 | 323 | 278 | 9 | 66 | 22 | 66 | 47 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 26.7% | 7.7% | 83.3% | 91.0 | Unlucky |
| 8 | Devils | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 10 | 35 | 31 | 3 | 42 | 260 | 323 | 278 | 9 | 25 | 10 | 5 | 23 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 66.7% | 9.5% | 92.0% | 101.5 | LUCKY |
| 9 | Guppies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 10 | 35 | 31 | 3 | 25 | 260 | 323 | 278 | 9 | 30 | 10 | 8 | 12 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 50.0% | 20.0% | 90.0% | 110.0 | FUN |
| 10 | Stingers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 10 | 35 | 31 | 3 | 30 | 260 | 323 | 278 | 9 | 32 | 7 | 4 | 28 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 75.0% | 10.0% | 96.9% | 106.9 | LUCKY |
| 11 | Schooners | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 4 | 0.667 | 9 | 12 | 21 | 0 | 0 | 10 | 35 | 31 | 3 | 89 | 260 | 323 | 278 | 9 | 110 | 27 | 57 | 72 | 11 | 0 | 0.00% | 11 | 2 | 81.82% | 1 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 50.0% | 10.1% | 90.0% | 100.1 | FUN |
| 12 | Hydra | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 10 | 35 | 31 | 3 | 54 | 260 | 323 | 278 | 9 | 51 | 15 | 40 | 41 | 8 | 2 | 25.00% | 5 | 0 | 100.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 36.4% | 11.1% | 86.3% | 97.4 | FUN |
| 13 | Spartans | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 10 | 35 | 31 | 3 | 37 | 260 | 323 | 278 | 9 | 26 | 10 | 17 | 20 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 40.0% | 5.4% | 88.5% | 93.9 | Unlucky |
| 14 | Northmen | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 10 | 35 | 31 | 3 | 30 | 260 | 323 | 278 | 9 | 31 | 9 | 6 | 22 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 33.3% | 6.7% | 87.1% | 93.8 | Unlucky |
| 15 | Yeti | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 7 | 12 | 0 | 0 | 10 | 35 | 31 | 3 | 54 | 260 | 323 | 278 | 9 | 52 | 20 | 33 | 44 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 71.4% | 9.3% | 94.2% | 103.5 | LUCKY |
| 16 | Wild Wings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 10 | 35 | 31 | 3 | 32 | 260 | 323 | 278 | 9 | 25 | 8 | 14 | 25 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 33.3% | 6.3% | 84.0% | 90.3 | Unlucky |
| 17 | Swamp Puppies | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 14 | -4 | 2 | 0.250 | 10 | 15 | 25 | 0 | 0 | 10 | 35 | 31 | 3 | 136 | 260 | 323 | 278 | 9 | 119 | 30 | 101 | 92 | 10 | 2 | 20.00% | 8 | 3 | 62.50% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 42.1% | 7.4% | 88.2% | 95.6 | Unlucky |
| _Vs Division | 7 | 2 | 7 | 0 | 1 | 0 | 0 | 0 | 22 | 24 | -2 | 6 | 0.429 | 22 | 39 | 61 | 0 | 0 | 10 | 35 | 31 | 3 | 202 | 260 | 323 | 278 | 9 | 212 | 76 | 135 | 169 | 20 | 4 | 20.00% | 15 | 3 | 80.00% | 0 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 46.2% | 10.9% | 88.7% | 99.6 | FUN | |
| _Vs Conference | 19 | 5 | 12 | 0 | 1 | 1 | 0 | 0 | 46 | 65 | -19 | 13 | 0.342 | 46 | 77 | 123 | 1 | 0 | 10 | 35 | 31 | 3 | 588 | 260 | 323 | 278 | 9 | 601 | 175 | 347 | 464 | 45 | 4 | 8.89% | 52 | 10 | 80.77% | 2 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 43.3% | 7.8% | 89.2% | 97.0 | Unlucky | |
| _Since Last GM Reset | 28 | 10 | 15 | 0 | 1 | 1 | 1 | 0 | 78 | 94 | -16 | 25 | 0.446 | 78 | 128 | 206 | 1 | 0 | 10 | 35 | 31 | 3 | 866 | 260 | 323 | 278 | 9 | 881 | 271 | 504 | 667 | 62 | 9 | 14.52% | 68 | 12 | 82.35% | 2 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 45.7% | 9.0% | 89.3% | 98.3 | FUN | |
| Total | 28 | 10 | 15 | 0 | 1 | 1 | 1 | 0 | 78 | 94 | -16 | 25 | 0.446 | 78 | 128 | 206 | 1 | 0 | 10 | 35 | 31 | 3 | 866 | 260 | 323 | 278 | 9 | 881 | 271 | 504 | 667 | 62 | 9 | 14.52% | 68 | 12 | 82.35% | 2 | 274 | 542 | 50.55% | 280 | 525 | 53.33% | 232 | 437 | 53.09% | 609 | 359 | 593 | 248 | 485 | 241 | 45.7% | 9.0% | 89.3% | 98.3 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 542 |
| Neutral Zone Start | 437 |
| Defensive Zone Start | 525 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 786 |
| Faceoffs Lost | 718 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.3 | 9.57 |
| 2nd Period | 20.8 | 20.31 |
| 3rd Period | 30.8 | 30.68 |
| Overtime | 31.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.4 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.8 | 2.83 |
| Even Strenght Goal | 66 |
|---|---|
| PP Goal | 9 |
| PK Goal | 2 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 6 | 6 |
| Lost | 7 | 8 |
| Overtime Lost | 0 | 1 |
| PP Attempt | 62 |
|---|---|
| PP Goal | 9 |
| PK Attempt | 68 |
| PK Goal Against | 12 |
| Home | |
|---|---|
| Shots For | 30.9 |
| Shots Against | 31.5 |
| Goals For | 2.8 |
| Goals Against | 3.4 |
| Hits | 23.8 |
| Shots Blocked | 9.7 |
| Pim | 18.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,988,640$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Baltimore | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 35729 | 23398 | |||
| Attendance PCT | 91.61% | 89.99% | 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 |
| 27 | 4548 - 90.96% | 160,149$ | 2,081,931$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,988,640$ | 2,988,640$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,017,326$ | 2,988,640$ | 950,669$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 4,324,011$ | 98 | 21,691$ | 2,125,718$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,125,718$ | 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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