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Full Scoreboard »» |
![]() | Grand Rapids Griffins 31-9-7, 69pts · 3rd in Conference 2 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jiri Kulich | 20 | C/RW | 100.00 | 66 | 41 | 81 | 79 | 74 | 75 | 68 | 75 | 65 | 66 | 71 | 66 | 75 | 55 | 50 | 1 | 50 | 68 | 21 | 975,000$/1yrs | |||
Cole Schwindt | 0 | C/RW | 100.00 | 70 | 41 | 82 | 71 | 77 | 73 | 72 | 66 | 70 | 65 | 60 | 66 | 66 | 59 | 53 | 1 | 50 | 65 | 24 | 1,200,000$/3yrs | |||
Emil Heineman | 51 | LW/RW | 100.00 | 74 | 41 | 80 | 72 | 76 | 74 | 69 | 68 | 41 | 64 | 65 | 64 | 68 | 55 | 50 | 1 | 50 | 65 | 23 | 975,000$/3yrs | |||
Conor Geekie (R) | 28 | C/RW | 100.00 | 70 | 40 | 76 | 69 | 78 | 75 | 66 | 67 | 59 | 63 | 65 | 64 | 67 | 52 | 50 | 1 | 50 | 64 | 21 | 886,667$/2yrs | |||
T.J. Tynan (A) | 0 | C | 100.00 | 53 | 48 | 61 | 71 | 52 | 72 | 71 | 64 | 47 | 67 | 54 | 65 | 63 | 68 | 62 | 1 | 50 | 62 | 33 | 1,500,000$/2yrs | |||
Francesco Pinelli | 0 | C | 100.00 | 59 | 43 | 68 | 65 | 64 | 65 | 63 | 63 | 43 | 57 | 58 | 53 | 62 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/2yrs | |||
Anton Wahlberg (R) | 0 | C/LW | 100.00 | 63 | 40 | 68 | 62 | 64 | 58 | 57 | 61 | 54 | 60 | 57 | 59 | 60 | 50 | 50 | 1 | 50 | 58 | 19 | 975,000$/3yrs | |||
Tim Gettinger | 0 | LW | 100.00 | 64 | 42 | 72 | 58 | 72 | 68 | 66 | 61 | 42 | 56 | 54 | 56 | 57 | 55 | 50 | 1 | 50 | 58 | 27 | 1,200,000$/1yrs | |||
Jacob Melanson | 0 | RW | 100.00 | 63 | 46 | 62 | 62 | 66 | 63 | 61 | 60 | 42 | 54 | 54 | 56 | 59 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
Keean Washkurak | 0 | C | 100.00 | 58 | 47 | 63 | 65 | 62 | 65 | 64 | 60 | 54 | 53 | 54 | 55 | 59 | 51 | 50 | 1 | 50 | 57 | 23 | 1,500,000$/4yrs | |||
Brett Chorske | 0 | C/LW/RW | 100.00 | 64 | 40 | 66 | 58 | 67 | 60 | 58 | 56 | 40 | 54 | 54 | 59 | 56 | 51 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/4yrs | |||
Jacob MacDonald (A) | 0 | LWD | 100.00 | 66 | 45 | 69 | 73 | 70 | 76 | 74 | 70 | 40 | 63 | 71 | 69 | 71 | 75 | 60 | 1 | 50 | 68 | 32 | 1,500,000$/1yrs | |||
Elias Petterssen 2 (R) | 26 | D | 100.00 | 63 | 40 | 72 | 69 | 72 | 75 | 62 | 64 | 40 | 61 | 61 | 62 | 65 | 51 | 50 | 1 | 50 | 63 | 21 | 975,000$/3yrs | |||
Sam Rinzel (R) | 6 | D | 100.00 | 59 | 40 | 69 | 69 | 72 | 79 | 59 | 64 | 40 | 62 | 59 | 64 | 64 | 51 | 50 | 1 | 50 | 63 | 21 | 975,000$/3yrs | |||
Aaron Ness (C) | 0 | D | 100.00 | 54 | 42 | 68 | 67 | 58 | 70 | 70 | 60 | 40 | 57 | 54 | 65 | 60 | 73 | 68 | 1 | 50 | 62 | 35 | 1,500,000$/4yrs | |||
Topias Vilen | 0 | D | 100.00 | 63 | 42 | 71 | 65 | 65 | 63 | 61 | 62 | 40 | 63 | 53 | 67 | 60 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/2yrs | |||
Mason Geertsen | 0 | LWD | 100.00 | 63 | 55 | 56 | 58 | 72 | 69 | 67 | 57 | 40 | 51 | 51 | 60 | 55 | 63 | 53 | 1 | 50 | 59 | 30 | 1,500,000$/4yrs | |||
Xavier Bernard | 0 | D | 100.00 | 62 | 41 | 66 | 61 | 65 | 62 | 60 | 56 | 40 | 54 | 53 | 64 | 57 | 52 | 50 | 1 | 50 | 59 | 25 | 1,500,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Gavin Hain | 0 | C | 100.00 | 60 | 41 | 70 | 62 | 63 | 63 | 61 | 57 | 52 | 52 | 53 | 55 | 57 | 52 | 50 | 1 | 50 | 56 | 25 | 975,000$/2yrs | |||
Brandon Coe | 0 | RW | 100.00 | 60 | 42 | 70 | 63 | 65 | 63 | 60 | 58 | 41 | 52 | 53 | 54 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 1,000,000$/3yrs | |||
Jacob Perreault | 0 | RW | 100.00 | 56 | 45 | 64 | 62 | 65 | 63 | 62 | 59 | 42 | 56 | 53 | 51 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/3yrs | |||
Danny Zhilkin (R) | 0 | C | 100.00 | 59 | 41 | 71 | 60 | 65 | 61 | 59 | 58 | 53 | 53 | 53 | 51 | 57 | 50 | 50 | 1 | 50 | 55 | 21 | 975,000$/3yrs | |||
Reece Newkirk | 0 | C/LW/RW | 100.00 | 57 | 42 | 70 | 65 | 59 | 62 | 59 | 55 | 41 | 51 | 51 | 55 | 57 | 52 | 50 | 1 | 50 | 55 | 24 | 1,500,000$/4yrs | |||
Tory Dello | 0 | D | 100.00 | 56 | 42 | 70 | 65 | 62 | 67 | 65 | 60 | 40 | 54 | 53 | 61 | 59 | 57 | 50 | 1 | 50 | 59 | 28 | 1,100,000$/2yrs | |||
Ronan Seeley | 0 | D | 100.00 | 58 | 40 | 74 | 65 | 65 | 63 | 61 | 62 | 40 | 55 | 54 | 57 | 60 | 50 | 50 | 1 | 50 | 59 | 22 | 975,000$/1yrs | |||
Tyrel Bauer | 0 | D | 100.00 | 61 | 58 | 55 | 59 | 70 | 64 | 62 | 59 | 40 | 51 | 51 | 54 | 56 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
James Reimer | 0 | 100.00 | 70 | 85 | 84 | 78 | 80 | 80 | 77 | 80 | 80 | 78 | 78 | 90 | 83 | 1 | 50 | 73 | 37 | 5,000,000$/4yrs |
Sebastian Cossa | 0 | 100.00 | 69 | 62 | 66 | 75 | 71 | 71 | 73 | 70 | 72 | 69 | 61 | 50 | 50 | 1 | 50 | 64 | 22 | 975,000$/1yrs |
| Scratches | ||||||||||||||||||||
Martin Jones | 35 | 100.00 | 64 | 72 | 71 | 72 | 70 | 70 | 68 | 71 | 71 | 68 | 66 | 86 | 76 | 1 | 50 | 65 | 35 | 3,500,000$/1yrs |
Jakub Skarek | 0 | 100.00 | 69 | 63 | 65 | 66 | 66 | 65 | 67 | 63 | 66 | 67 | 56 | 53 | 50 | 1 | 50 | 60 | 25 | 1,500,000$/1yrs |
Mads Sogaard | 0 | 100.00 | 65 | 59 | 61 | 71 | 65 | 62 | 62 | 59 | 63 | 64 | 58 | 52 | 50 | 1 | 50 | 58 | 24 | 1,600,000$/2yrs |
Jan Bednar | 0 | 100.00 | 62 | 57 | 57 | 65 | 61 | 59 | 60 | 58 | 61 | 59 | 54 | 50 | 50 | 1 | 50 | 55 | 22 | 975,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Luke Richardson | 80 | 76 | 77 | 86 | 86 | 79 | 1 | CAN | 56 | 2 | 600,000$ |
| General Manager |
|---|
| 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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jiri Kulich | Griffins (DET) | C/RW | 47 | 32 | 38 | 70 | 23 | 19 | 15 | 85 | 249 | 65 | 137 | 12.85% | 20 | 20.44 | 8 | 12 | 20 | 0 | 1 | 1 | 62 | 3 | 1 | 56.73% | 0 | 2 | 1.49 | 2 | 11 | 1.69 | |||
| 2 | Conor Geekie | Griffins (DET) | C/RW | 47 | 24 | 25 | 49 | 22 | 10 | 0 | 84 | 171 | 64 | 94 | 14.04% | 13 | 18.23 | 8 | 7 | 15 | 0 | 0 | 0 | 26 | 3 | 0 | 57.63% | 0 | 1 | 1.04 | 0 | 2 | 1.24 | |||
| 3 | Emil Heineman | Griffins (DET) | LW/RW | 47 | 24 | 22 | 46 | 23 | 23 | 5 | 85 | 178 | 49 | 104 | 13.48% | 19 | 18.52 | 3 | 0 | 3 | 1 | 0 | 1 | 89 | 3 | 3 | 42.55% | 0 | 1 | 0.98 | 3 | 10 | 1.17 | |||
| 4 | Cole Schwindt | Griffins (DET) | C/RW | 47 | 15 | 28 | 43 | 20 | 9 | 5 | 74 | 147 | 35 | 88 | 10.20% | 19 | 17.38 | 1 | 3 | 4 | 1 | 1 | 2 | 91 | 0 | 1 | 59.74% | 0 | 0 | 0.91 | 2 | 6 | 1.09 | |||
| 5 | Jacob MacDonald | Griffins (DET) | LW/D | 47 | 6 | 29 | 35 | 31 | 44 | 20 | 71 | 137 | 47 | 54 | 4.38% | 56 | 23.82 | 4 | 7 | 11 | 0 | 2 | 2 | 90 | 2 | 0 | 100.00% | 0 | 0 | 0.74 | 5 | 11 | 0.89 | |||
| 6 | T.J. Tynan | Griffins (DET) | C | 47 | 11 | 24 | 35 | 27 | 36 | 20 | 75 | 76 | 31 | 50 | 14.47% | 13 | 18.08 | 1 | 12 | 13 | 0 | 0 | 0 | 47 | 3 | 0 | 45.00% | 0 | 0 | 0.74 | 0 | 0 | 0.77 | |||
| 7 | Francesco Pinelli | Griffins (DET) | C | 47 | 9 | 13 | 22 | 11 | 19 | 5 | 58 | 128 | 48 | 81 | 7.03% | 11 | 14.06 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 0 | 48.38% | 0 | 0 | 0.47 | 0 | 0 | 0.62 | |||
| 8 | Topias Vilen | Griffins (DET) | D | 47 | 5 | 15 | 20 | 31 | 43 | 25 | 58 | 63 | 19 | 17 | 7.94% | 40 | 23.27 | 2 | 3 | 5 | 0 | 0 | 0 | 88 | 0 | 1 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.51 | |||
| 9 | Jacob Melanson | Griffins (DET) | RW | 43 | 6 | 13 | 19 | 11 | 38 | 20 | 57 | 99 | 22 | 42 | 6.06% | 14 | 12.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 38.89% | 0 | 0 | 0.44 | 0 | 0 | 0.47 | |||
| 10 | Sam Rinzel | Griffins (DET) | D | 47 | 6 | 12 | 18 | 15 | 22 | 10 | 56 | 62 | 26 | 35 | 9.68% | 47 | 21.90 | 2 | 2 | 4 | 1 | 0 | 1 | 64 | 1 | 2 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.47 | |||
| 11 | Keean Washkurak | Griffins (DET) | C | 46 | 11 | 6 | 17 | 20 | 6 | 0 | 44 | 91 | 28 | 29 | 12.09% | 7 | 8.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 46.31% | 0 | 0 | 0.37 | 0 | 0 | 0.59 | |||
| 12 | Tim Gettinger | Griffins (DET) | LW | 47 | 7 | 7 | 14 | 21 | 7 | 5 | 49 | 76 | 24 | 24 | 9.21% | 1 | 9.26 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 33.33% | 0 | 0 | 0.30 | 0 | 0 | 0.50 | |||
| 13 | Elias Petterssen 2 | Griffins (DET) | D | 47 | 3 | 10 | 13 | 15 | 16 | 0 | 42 | 57 | 29 | 33 | 5.26% | 27 | 19.29 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 1 | 0.39 | |||
| 14 | Aaron Ness | Griffins (DET) | D | 47 | 1 | 11 | 12 | 31 | 13 | 5 | 37 | 47 | 16 | 20 | 2.13% | 36 | 18.37 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 1 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.48 | |||
| 15 | Mason Geertsen | Griffins (DET) | LW/D | 47 | 7 | 5 | 12 | 10 | 34 | 10 | 85 | 49 | 18 | 35 | 14.29% | 18 | 14.15 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 0 | 43.75% | 0 | 0 | 0.26 | 0 | 0 | 0.28 | |||
| 16 | Anton Wahlberg | Griffins (DET) | C/LW | 47 | 6 | 6 | 12 | 18 | 28 | 0 | 71 | 43 | 15 | 29 | 13.95% | 15 | 16.87 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 0 | 1 | 50.00% | 0 | 0 | 0.26 | 0 | 0 | 0.33 | |||
| 17 | Xavier Bernard | Griffins (DET) | D | 47 | 1 | 9 | 10 | 28 | 18 | 0 | 32 | 24 | 13 | 13 | 4.17% | 28 | 14.89 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.36 | |||
| 18 | Brett Chorske | Griffins (DET) | C/LW/RW | 46 | 2 | 7 | 9 | 13 | 9 | 5 | 44 | 52 | 19 | 18 | 3.85% | 14 | 9.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.33 | |||
| 19 | Brandon Coe | Griffins (DET) | RW | 3 | 1 | 3 | 4 | 5 | 0 | 0 | 2 | 7 | 5 | 2 | 14.29% | 1 | 12.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 1.33 | 0 | 0 | 1.73 | |||
| 20 | Tory Dello | Griffins (DET) | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 12.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.98 | |||
| 21 | Ronan Seeley | Griffins (DET) | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 12.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.40 | |||
| 22 | Tyrel Bauer | Griffins (DET) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 846 | 177 | 284 | 461 | 377 | 394 | 150 | 1109 | 1756 | 573 | 905 | 10.08% | 400 | 16.66 | 30 | 48 | 78 | 835 | 3 | 4 | 7 | 680 | 26 | 9 | 54.86% | 2703 | 378 | 292 | 0 | 4 | 0.65 | 12 | 41 |
| 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 | James Reimer | Griffins (DET) | 41 | 27 | 8 | 6 | 0.921 | 2.01 | 2444 | 2 | 2 | 82 | 1034 | 493 | 2 | 2 | 0.676 | 37 | 40 | 7 | 2 | 2 | 2 |
| 2 | Sebastian Cossa | Griffins (DET) | 8 | 4 | 1 | 1 | 0.902 | 2.53 | 427 | 0 | 1 | 18 | 183 | 102 | 0 | 0 | 1.000 | 2 | 7 | 39 | 0 | 1 | 0 |
| Team Total or Average | 49 | 31 | 9 | 7 | 0.918 | 2.09 | 2872 | 2 | 3 | 100 | 1217 | 595 | 2 | 2 | 0.692 | 39 | 47 | 46 | 2 | 3 | 2 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Aaron Ness | D | 35 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Anton Wahlberg | C/LW | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Brandon Coe | RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Brett Chorske | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Cole Schwindt | C/RW | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
| Conor Geekie | C/RW | 21 | 886,667$ | 975,000$ | 975,000$ | RFA | |||||
| Danny Zhilkin | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Elias Petterssen 2 | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Emil Heineman | LW/RW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Francesco Pinelli | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Gavin Hain | C | 25 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Jacob MacDonald | LW/D | 32 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Jacob Melanson | RW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jacob Perreault | RW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Jakub Skarek | G | 25 | 1,500,000$ | 1,500,000$ | |||||||
| James Reimer | G | 37 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
| Jan Bednar | G | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Jiri Kulich | C/RW | 21 | 975,000$ | 975,000$ | RFA | ||||||
| Keean Washkurak | C | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Mads Sogaard | G | 24 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
| Martin Jones | G | 35 | 3,500,000$ | 3,500,000$ | UFA | ||||||
| Mason Geertsen | LW/D | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Reece Newkirk | C/LW/RW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Ronan Seeley | D | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Sam Rinzel | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Sebastian Cossa | G | 22 | 975,000$ | 975,000$ | RFA | ||||||
| T.J. Tynan | C | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Tim Gettinger | LW | 27 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| Topias Vilen | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Tory Dello | D | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
| Tyrel Bauer | D | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Xavier Bernard | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
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| 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 | Gulls | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 4 | 4 | 3 | 0.750 | 8 | 13 | 21 | 0 | 1 | 47 | 72 | 58 | 12 | 77 | 558 | 663 | 525 | 51 | 35 | 8 | 12 | 46 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 72.7% | 10.4% | 88.6% | 99.0 | FUN |
| 2 | Moose | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 16 | 9 | 7 | 7 | 0.875 | 16 | 22 | 38 | 0 | 0 | 47 | 72 | 58 | 12 | 156 | 558 | 663 | 525 | 51 | 102 | 30 | 17 | 107 | 16 | 4 | 25.00% | 6 | 2 | 66.67% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 63.2% | 10.3% | 91.2% | 101.4 | LUCKY |
| 3 | Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 47 | 72 | 58 | 12 | 38 | 558 | 663 | 525 | 51 | 43 | 19 | 12 | 21 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 75.0% | 18.4% | 95.3% | 113.8 | LUCKY |
| 4 | Americans | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 47 | 72 | 58 | 12 | 35 | 558 | 663 | 525 | 51 | 20 | 3 | 0 | 34 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 33.3% | 2.9% | 90.0% | 92.9 | Unlucky |
| 5 | Heat | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 47 | 72 | 58 | 12 | 42 | 558 | 663 | 525 | 51 | 22 | 4 | 4 | 24 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 66.7% | 7.1% | 95.5% | 102.6 | DULL |
| 6 | Wolves | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 7 | 7 | 4 | 0.667 | 14 | 23 | 37 | 1 | 0 | 47 | 72 | 58 | 12 | 119 | 558 | 663 | 525 | 51 | 112 | 37 | 18 | 66 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 65.0% | 11.8% | 93.8% | 105.5 | LUCKY |
| 7 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 47 | 72 | 58 | 12 | 37 | 558 | 663 | 525 | 51 | 34 | 10 | 4 | 20 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 1 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 33.3% | 8.1% | 88.2% | 96.3 | Unlucky |
| 8 | Stars | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 2 | 14 | 4 | 1.000 | 16 | 25 | 41 | 0 | 1 | 47 | 72 | 58 | 12 | 92 | 558 | 663 | 525 | 51 | 41 | 12 | 15 | 37 | 6 | 3 | 50.00% | 5 | 1 | 80.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 92.9% | 17.4% | 95.1% | 112.5 | LUCKY |
| 9 | Condors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 47 | 72 | 58 | 12 | 29 | 558 | 663 | 525 | 51 | 37 | 5 | 5 | 26 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 75.0% | 10.3% | 97.3% | 107.6 | LUCKY |
| 10 | Checkers 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 47 | 72 | 58 | 12 | 35 | 558 | 663 | 525 | 51 | 25 | 6 | 11 | 36 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 100.0% | 11.4% | 92.0% | 103.4 | LUCKY |
| 11 | Reign | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 47 | 72 | 58 | 12 | 42 | 558 | 663 | 525 | 51 | 23 | 10 | 2 | 32 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 50.0% | 7.1% | 91.3% | 98.4 | DULL |
| 12 | Wild | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 47 | 72 | 58 | 12 | 67 | 558 | 663 | 525 | 51 | 31 | 8 | 12 | 59 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 66.7% | 6.0% | 87.1% | 93.1 | Unlucky |
| 13 | Rocket | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 47 | 72 | 58 | 12 | 85 | 558 | 663 | 525 | 51 | 35 | 13 | 17 | 56 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 66.7% | 8.2% | 91.4% | 99.7 | DULL |
| 14 | Admirals | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 6 | 7 | 13 | 0 | 0 | 47 | 72 | 58 | 12 | 109 | 558 | 663 | 525 | 51 | 106 | 31 | 33 | 79 | 7 | 1 | 14.29% | 14 | 5 | 64.29% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 41.7% | 5.5% | 88.7% | 94.2 | Unlucky |
| 15 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 47 | 72 | 58 | 12 | 24 | 558 | 663 | 525 | 51 | 8 | 4 | 4 | 19 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 100.0% | 16.7% | 87.5% | 104.2 | FUN |
| 16 | Wolf Pack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 47 | 72 | 58 | 12 | 75 | 558 | 663 | 525 | 51 | 78 | 30 | 11 | 42 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 53.8% | 10.7% | 91.0% | 101.7 | FUN |
| 17 | Belleville Senators | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 1.000 | 7 | 10 | 17 | 0 | 0 | 47 | 72 | 58 | 12 | 28 | 558 | 663 | 525 | 51 | 35 | 10 | 9 | 18 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 66.7% | 25.0% | 88.6% | 113.6 | FUN |
| 18 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 47 | 72 | 58 | 12 | 43 | 558 | 663 | 525 | 51 | 27 | 2 | 4 | 24 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 50.0% | 9.3% | 92.6% | 101.9 | LUCKY |
| 19 | Penguins | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 47 | 72 | 58 | 12 | 45 | 558 | 663 | 525 | 51 | 27 | 7 | 11 | 18 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 1 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 57.1% | 11.1% | 85.2% | 96.3 | FUN |
| 20 | Barracuda | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 11 | 9 | 2 | 3 | 0.500 | 11 | 19 | 30 | 0 | 0 | 47 | 72 | 58 | 12 | 116 | 558 | 663 | 525 | 51 | 62 | 22 | 56 | 78 | 5 | 2 | 40.00% | 13 | 3 | 76.92% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 60.0% | 9.5% | 85.5% | 95.0 | FUN |
| 21 | Thunderbirds | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 8 | 15 | 8 | 1.000 | 23 | 34 | 57 | 0 | 0 | 47 | 72 | 58 | 12 | 158 | 558 | 663 | 525 | 51 | 143 | 47 | 54 | 80 | 10 | 4 | 40.00% | 12 | 3 | 75.00% | 1 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 79.2% | 14.6% | 94.4% | 109.0 | LUCKY |
| 22 | Crunch | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 1 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 47 | 72 | 58 | 12 | 77 | 558 | 663 | 525 | 51 | 50 | 22 | 21 | 52 | 9 | 2 | 22.22% | 8 | 4 | 50.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 71.4% | 9.1% | 88.0% | 97.1 | FUN |
| 23 | Marlies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 47 | 72 | 58 | 12 | 39 | 558 | 663 | 525 | 51 | 28 | 19 | 11 | 25 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 100.0% | 7.7% | 96.4% | 104.1 | DULL |
| 24 | Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 47 | 72 | 58 | 12 | 36 | 558 | 663 | 525 | 51 | 31 | 10 | 15 | 22 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 75.0% | 8.3% | 93.5% | 101.9 | DULL |
| 25 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 47 | 72 | 58 | 12 | 43 | 558 | 663 | 525 | 51 | 17 | 10 | 9 | 19 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 42.9% | 7.0% | 70.6% | 77.6 | Unlucky |
| 26 | Silver Knights | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 4 | 5 | 5 | 0.833 | 9 | 17 | 26 | 0 | 1 | 47 | 72 | 58 | 12 | 109 | 558 | 663 | 525 | 51 | 47 | 21 | 29 | 69 | 10 | 2 | 20.00% | 7 | 1 | 85.71% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 70.0% | 8.3% | 91.5% | 99.7 | DULL |
| _Vs Division | 12 | 10 | 5 | 0 | 0 | 1 | 2 | 2 | 40 | 23 | 17 | 27 | 1.125 | 40 | 64 | 104 | 0 | 2 | 47 | 72 | 58 | 12 | 451 | 558 | 663 | 525 | 51 | 257 | 80 | 123 | 297 | 30 | 6 | 20.00% | 29 | 6 | 79.31% | 0 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 66.7% | 8.9% | 91.1% | 99.9 | Unlucky | |
| _Vs Conference | 28 | 14 | 6 | 0 | 0 | 1 | 3 | 4 | 105 | 60 | 45 | 39 | 0.696 | 105 | 162 | 267 | 0 | 3 | 47 | 72 | 58 | 12 | 1034 | 558 | 663 | 525 | 51 | 683 | 208 | 243 | 657 | 72 | 19 | 26.39% | 69 | 18 | 73.91% | 2 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 67.2% | 10.2% | 91.2% | 101.4 | LUCKY | |
| _Since Last GM Reset | 47 | 26 | 9 | 0 | 0 | 1 | 5 | 6 | 182 | 108 | 74 | 69 | 0.734 | 182 | 284 | 466 | 2 | 3 | 47 | 72 | 58 | 12 | 1756 | 558 | 663 | 525 | 51 | 1219 | 400 | 396 | 1109 | 110 | 30 | 27.27% | 113 | 31 | 72.57% | 3 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 66.4% | 10.4% | 91.1% | 101.5 | Unlucky | |
| Total | 47 | 26 | 9 | 0 | 0 | 1 | 5 | 6 | 182 | 108 | 74 | 69 | 0.734 | 182 | 284 | 466 | 2 | 3 | 47 | 72 | 58 | 12 | 1756 | 558 | 663 | 525 | 51 | 1219 | 400 | 396 | 1109 | 110 | 30 | 27.27% | 113 | 31 | 72.57% | 3 | 615 | 1105 | 55.66% | 496 | 922 | 53.80% | 372 | 648 | 57.41% | 1047 | 593 | 886 | 458 | 941 | 447 | 66.4% | 10.4% | 91.1% | 101.5 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 20 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1105 |
| Neutral Zone Start | 648 |
| Defensive Zone Start | 922 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1483 |
| Faceoffs Lost | 1192 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.9 | 9.57 |
| 2nd Period | 26.0 | 20.31 |
| 3rd Period | 37.1 | 30.68 |
| Overtime | 38.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 2.5 | 1.65 |
| 3rd Period | 3.8 | 2.67 |
| Overtime | 4.0 | 2.83 |
| Even Strenght Goal | 147 |
|---|---|
| PP Goal | 30 |
| PK Goal | 3 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 17 | 14 |
| Lost | 4 | 5 |
| Overtime Lost | 2 | 5 |
| PP Attempt | 110 |
|---|---|
| PP Goal | 30 |
| PK Attempt | 113 |
| PK Goal Against | 31 |
| Home | |
|---|---|
| Shots For | 37.4 |
| Shots Against | 25.9 |
| Goals For | 3.9 |
| Goals Against | 2.3 |
| Hits | 23.6 |
| Shots Blocked | 8.5 |
| Pim | 8.4 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Thu, Oct 9 | WPG | @ | DET | WPG1,DET6 | RECAP | |||||||||
| Fri, Oct 10 | DET | @ | S J | DET1,S J2 | RECAP | |||||||||
| Mon, Oct 13 | DET | @ | WPG | DET4,WPG5 (SO) | RECAP | |||||||||
| Wed, Oct 15 | CHI | @ | DET | CHI3,DET2 (OT) | RECAP | |||||||||
| Thu, Oct 16 | DET | @ | CAR | DET2,CAR4 | RECAP | |||||||||
| Sun, Oct 19 | DAL | @ | DET | DAL0,DET6 | RECAP | |||||||||
| Tue, Oct 21 | DET | @ | S J | DET4,S J5 (SO) | RECAP | |||||||||
| Wed, Oct 22 | DET | @ | CHI | DET5,CHI1 | RECAP | |||||||||
| Fri, Oct 24 | WPG | @ | DET | WPG2,DET4 | RECAP | |||||||||
| Sun, Oct 26 | DET | @ | ANA | DET3,ANA4 (SO) | RECAP | |||||||||
| Tue, Oct 28 | OTT | @ | DET | OTT4,DET7 | RECAP | |||||||||
| Thu, Oct 30 | DET | @ | MIN | DET2,MIN3 (SO) | RECAP | |||||||||
| Sat, Nov 1 | NJD | @ | DET | NJD1,DET4 | RECAP | |||||||||
| Mon, Nov 3 | DET | @ | STL | DET6,STL3 | RECAP | |||||||||
| Tue, Nov 4 | STL | @ | DET | STL1,DET6 | RECAP | |||||||||
| Thu, Nov 6 | DET | @ | NAS | DET1,NAS2 | RECAP | |||||||||
| Sun, Nov 9 | DET | @ | CHI | DET3,CHI4 | RECAP | |||||||||
| Mon, Nov 10 | NAS | @ | DET | NAS4,DET2 | RECAP | |||||||||
| Wed, Nov 12 | PHI | @ | DET | PHI2,DET4 | RECAP | |||||||||
| Thu, Nov 13 | DET | @ | NAS | DET1,NAS2 | RECAP | |||||||||
| Sat, Nov 15 | PIT | @ | DET | PIT4,DET5 (SO) | RECAP | |||||||||
| Mon, Nov 17 | DET | @ | TAM | DET5,TAM3 | RECAP | |||||||||
| Wed, Nov 19 | NAS | @ | DET | NAS4,DET2 | RECAP | |||||||||
| Fri, Nov 21 | DET | @ | S J | DET6,S J2 | RECAP | |||||||||
| Sun, Nov 23 | CAL | @ | DET | CAL1,DET3 | RECAP | |||||||||
| Tue, Nov 25 | DET | @ | BUF | DET1,BUF2 (SO) | RECAP | |||||||||
| Fri, Nov 28 | TAM | @ | DET | TAM3,DET2 (SO) | RECAP | |||||||||
| Sun, Nov 30 | DET | @ | BOS | DET7,BOS2 | RECAP | |||||||||
| Tue, Dec 2 | STL | @ | DET | STL1,DET7 | RECAP | |||||||||
| Thu, Dec 4 | DET | @ | MTL | DET3,MTL2 (SO) | RECAP | |||||||||
| Sat, Dec 6 | NYR | @ | DET | NYR4,DET3 | RECAP | |||||||||
| Mon, Dec 8 | DET | @ | STL | DET4,STL3 (SO) | RECAP | |||||||||
| Wed, Dec 10 | DET | @ | FLO | DET4,FLO2 | RECAP | |||||||||
| Thu, Dec 11 | WPG | @ | DET | WPG1,DET2 (SO) | RECAP | |||||||||
| Sun, Dec 14 | CAR | @ | DET | CAR2,DET6 | RECAP | |||||||||
| Tue, Dec 16 | DET | @ | MIN | DET2,MIN1 | RECAP | |||||||||
| Wed, Dec 17 | DET | @ | NYR | DET5,NYR3 | RECAP | |||||||||
| Thu, Dec 18 | LOS | @ | DET | LOS2,DET3 (SO) | RECAP | |||||||||
| Mon, Dec 22 | DET | @ | CAR | DET6,CAR1 | RECAP | |||||||||
| Tue, Dec 23 | EDM | @ | DET | EDM1,DET3 | RECAP | |||||||||
| Sat, Dec 27 | MTL | @ | DET | MTL1,DET4 | RECAP | |||||||||
| Tue, Dec 30 | DAL | @ | DET | DAL2,DET10 | RECAP | |||||||||
| Fri, Jan 2 | DET | @ | CHI | DET2,CHI0 | RECAP | |||||||||
| Sun, Jan 4 | WAS | @ | DET | WAS5,DET3 | RECAP | |||||||||
| Tue, Jan 6 | DET | @ | TOR | DET3,TOR1 | RECAP | |||||||||
| Thu, Jan 8 | ANA | @ | DET | ANA0,DET5 | RECAP | |||||||||
| Sat, Jan 10 | DET | @ | VAN | DET3,VAN2 | RECAP | |||||||||
| Mon, Jan 12 | DET | @ | EDM | |||||||||||
| Tue, Jan 13 | TOR | @ | DET | |||||||||||
| Thu, Jan 15 | BOS | @ | DET | |||||||||||
| Sun, Jan 18 | S J | @ | DET | |||||||||||
| Tue, Jan 20 | DET | @ | NJD | |||||||||||
| Thu, Jan 22 | NYI | @ | DET | |||||||||||
| Sat, Jan 24 | DET | @ | CHI | |||||||||||
| Sun, Jan 25 | DET | @ | SEA | |||||||||||
| Tue, Jan 27 | PHO | @ | DET | |||||||||||
| Fri, Jan 30 | COL | @ | DET | |||||||||||
| Sat, Jan 31 | DET | @ | LOS | |||||||||||
| Tue, Feb 3 | DET | @ | PIT | |||||||||||
| Wed, Feb 4 | DET | @ | DAL | |||||||||||
| Thu, Feb 5 | CHI | @ | DET | |||||||||||
| Sun, Feb 8 | DET | @ | PHO | |||||||||||
| Tue, Feb 10 | CLB | @ | DET | |||||||||||
| Wed, Feb 11 | DET | @ | CLB | |||||||||||
| Fri, Feb 13 | FLO | @ | DET | |||||||||||
| Mon, Feb 16 | DET | @ | DAL | |||||||||||
| Tue, Feb 17 | VAN | @ | DET | |||||||||||
| Thu, Feb 19 | DET | @ | CAL | |||||||||||
| Sat, Feb 21 | OTT | @ | DET | |||||||||||
| Tue, Feb 24 | DET | @ | WAS | |||||||||||
| Wed, Feb 25 | SEA | @ | DET | |||||||||||
| Sat, Feb 28 | CHI | @ | DET | |||||||||||
| Mon, Mar 2 | DET | @ | NYI | |||||||||||
| Wed, Mar 4 | BUF | @ | DET | |||||||||||
| Fri, Mar 6 | DET | @ | WPG | |||||||||||
| Sun, Mar 8 | CHI | @ | DET | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Wed, Mar 11 | DET | @ | OTT | |||||||||||
| Thu, Mar 12 | DET | @ | COL | |||||||||||
| Sat, Mar 14 | MIN | @ | DET | |||||||||||
| Tue, Mar 17 | NJD | @ | DET | |||||||||||
| Thu, Mar 19 | DET | @ | PHI | |||||||||||
| Mon, Mar 23 | MIN | @ | DET | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,320,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Grand Rapids | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 33$ | 12$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 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 |
| 18 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,320,000$ | 4,320,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,794,752$ | 0$ | 2,453,952$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 96 | 29,112$ | 2,125,176$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,125,176$ | 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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