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Full Scoreboard »» |
| Grand Rapids Griffins 11-5-0, 22pts · 3rd in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
William Eklund | 0 | C/LW | 99.00 | 66 | 34 | 86 | 74 | 70 | 86 | 89 | 69 | 59 | 77 | 68 | 64 | 69 | 64 | 63 | 0 | 62 | 80 | 23 | 863,333$/4yrs | |||
Beckett Sennecke (R) | 0 | LW/RW | 100.00 | 70 | 32 | 74 | 75 | 72 | 84 | 78 | 70 | 61 | 75 | 73 | 53 | 71 | 58 | 56 | 0 | 69 | 79 | 20 | 942,500$/3yrs | |||
Logan Stankoven | 0 | C/RW | 100.00 | 63 | 33 | 90 | 69 | 62 | 80 | 90 | 66 | 76 | 68 | 69 | 54 | 68 | 63 | 62 | 0 | 53 | 76 | 23 | 814,167$/9yrs | |||
Ryan Leonard (R) | 0 | C/RW | 99.00 | 76 | 38 | 76 | 69 | 75 | 79 | 78 | 65 | 61 | 68 | 71 | 54 | 68 | 60 | 58 | 0 | 55 | 76 | 21 | 950,000$/3yrs | |||
Shane Wright (R) | 0 | C | 100.00 | 64 | 32 | 93 | 66 | 75 | 78 | 89 | 61 | 77 | 67 | 68 | 59 | 65 | 62 | 61 | 0 | 80 | 75 | 22 | 886,666$/2yrs | |||
Justin Sourdif (R) | 0 | C/RW | 100.00 | 71 | 35 | 84 | 65 | 70 | 79 | 77 | 64 | 78 | 66 | 68 | 58 | 66 | 65 | 63 | 0 | 50 | 75 | 24 | 950,000$/2yrs | |||
Jackson Blake (R) | 0 | C/RW | 100.00 | 56 | 31 | 85 | 68 | 59 | 80 | 90 | 65 | 59 | 68 | 71 | 53 | 68 | 62 | 61 | 0 | 55 | 75 | 22 | 905,833$/9yrs | |||
Noah Laba (R) | 0 | C/RW | 100.00 | 74 | 37 | 85 | 63 | 86 | 77 | 76 | 60 | 81 | 64 | 62 | 68 | 61 | 63 | 61 | 0 | 59 | 73 | 22 | 870,000$/2yrs | |||
Dominic James (R) | 0 | C/LW | 100.00 | 72 | 31 | 93 | 62 | 57 | 75 | 72 | 58 | 78 | 63 | 65 | 55 | 62 | 64 | 63 | 0 | 61 | 72 | 23 | 910,000$/2yrs | |||
Lucas Pettersson (R) | 0 | C/LW | 100.00 | 55 | 37 | 99 | 64 | 71 | 69 | 78 | 64 | 60 | 57 | 68 | 64 | 63 | 56 | 56 | 0 | 61 | 72 | 20 | 869,050$/3yrs | |||
Joe Veleno | 0 | C/RW | 100.00 | 82 | 37 | 90 | 57 | 80 | 75 | 86 | 55 | 77 | 57 | 59 | 67 | 57 | 69 | 68 | 0 | 33 | 71 | 26 | 1,000,000$/1yrs | |||
Dalibor Dvorsky (R) | 0 | C/RW | 100.00 | 69 | 33 | 87 | 65 | 79 | 78 | 76 | 58 | 80 | 59 | 66 | 55 | 62 | 59 | 58 | 0 | 83 | 71 | 20 | 886,666$/3yrs | |||
Alexander Nikishin (R) | 0 | D | 100.00 | 75 | 37 | 86 | 60 | 87 | 85 | 78 | 57 | 30 | 67 | 65 | 64 | 61 | 66 | 64 | 0 | 62 | 75 | 24 | 925,000$/2yrs | |||
Louis Crevier (R) | 0 | D | 100.00 | 77 | 35 | 77 | 56 | 76 | 83 | 82 | 56 | 30 | 62 | 61 | 69 | 58 | 66 | 64 | 0 | 78 | 73 | 25 | 850,000$/2yrs | |||
Tom Willander (R) | 0 | D | 100.00 | 61 | 32 | 86 | 61 | 72 | 83 | 76 | 55 | 30 | 65 | 59 | 59 | 57 | 60 | 58 | 0 | 38 | 72 | 21 | 950,000$/3yrs | |||
Tristan Luneau (R) | 0 | D | 100.00 | 63 | 39 | 86 | 59 | 77 | 67 | 86 | 56 | 30 | 66 | 55 | 61 | 60 | 56 | 54 | 0 | 83 | 71 | 22 | 865,000$/2yrs | |||
Sam Dickinson (R) | 0 | D | 100.00 | 68 | 33 | 90 | 58 | 81 | 82 | 76 | 52 | 30 | 63 | 53 | 60 | 52 | 57 | 56 | 0 | 78 | 70 | 19 | 975,000$/2yrs | |||
Zayne Parekh (R) | 0 | D | 100.00 | 59 | 32 | 90 | 57 | 70 | 83 | 71 | 50 | 30 | 60 | 62 | 50 | 56 | 58 | 57 | 0 | 83 | 68 | 20 | 942,500$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Avery Hayes | 0 | C | 100.00 | 73 | 63 | 74 | 61 | 68 | 73 | 67 | 60 | 57 | 50 | 75 | 60 | 68 | 64 | 61 | 0 | 32 | 71 | 23 | 830,000$/2yrs | |||
Florian Xhekaj (R) | 0 | C/LW | 100.00 | 99 | 46 | 50 | 59 | 77 | 64 | 88 | 57 | 68 | 55 | 60 | 60 | 58 | 56 | 51 | 0 | 69 | 69 | 21 | 950,000$/2yrs | |||
Brady Martin (R) | 0 | C | 100.00 | 83 | 41 | 60 | 61 | 73 | 65 | 86 | 56 | 59 | 58 | 59 | 60 | 58 | 54 | 50 | 0 | 40 | 68 | 19 | 975,000$/3yrs | |||
Hendrix Lapierre | 0 | C | 100.00 | 63 | 35 | 88 | 57 | 71 | 70 | 81 | 54 | 72 | 63 | 55 | 54 | 55 | 65 | 63 | 0 | 35 | 68 | 24 | 900,000$/2yrs | |||
Jordan Dumais (R) | 0 | LW/RW | 100.00 | 59 | 37 | 93 | 60 | 65 | 65 | 76 | 57 | 35 | 60 | 57 | 60 | 58 | 56 | 55 | 0 | 38 | 68 | 22 | 860,000$/2yrs | |||
Tij Iginla (R) | 0 | C/LW | 100.00 | 65 | 39 | 81 | 61 | 75 | 65 | 89 | 58 | 41 | 57 | 61 | 60 | 59 | 54 | 52 | 0 | 73 | 68 | 19 | 942,500$/3yrs | |||
Kai Uchacz | 0 | C/LW/RW | 100.00 | 74 | 41 | 68 | 58 | 82 | 64 | 88 | 58 | 70 | 57 | 57 | 61 | 57 | 57 | 54 | 0 | 42 | 68 | 22 | 845,000$/2yrs | |||
Taylor Makar (R) | 0 | C/LW | 100.00 | 74 | 41 | 67 | 56 | 78 | 64 | 72 | 60 | 63 | 53 | 58 | 63 | 55 | 61 | 58 | 0 | 47 | 68 | 25 | 925,000$/1yrs | |||
Jeremie Poirier (R) | 0 | D | 100.00 | 72 | 40 | 70 | 56 | 75 | 65 | 88 | 53 | 30 | 62 | 52 | 63 | 57 | 59 | 56 | 0 | 66 | 69 | 23 | 850,000$/2yrs | |||
Etienne Morin (R) | 0 | D | 100.00 | 65 | 39 | 81 | 55 | 74 | 62 | 86 | 52 | 30 | 56 | 54 | 61 | 55 | 56 | 54 | 0 | 21 | 67 | 21 | 871,666$/3yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jet Greaves | 0 | 98.00 | 84 | 95 | 82 | 74 | 90 | 84 | 90 | 91 | 93 | 91 | 90 | 67 | 72 | 0 | 60 | 90 | 25 | 900,000$/1yrs |
Ilya Nabokov | 0 | 100.00 | 82 | 91 | 82 | 72 | 84 | 80 | 84 | 84 | 80 | 80 | 81 | 63 | 72 | 0 | 86 | 84 | 23 | 975,000$/2yrs |
| Scratches | ||||||||||||||||||||
Michal Postava | 0 | 100.00 | 79 | 95 | 78 | 81 | 78 | 76 | 79 | 79 | 76 | 76 | 78 | 64 | 74 | 0 | 81 | 82 | 24 | 975,000$/2yrs |
Topias Leinonen | 0 | 100.00 | 74 | 71 | 71 | 95 | 56 | 76 | 74 | 74 | 76 | 77 | 75 | 60 | 67 | 0 | 27 | 77 | 22 | 886,667$/3yrs |
Carson Bjarnason | 0 | 100.00 | 71 | 60 | 69 | 78 | 68 | 76 | 69 | 71 | 76 | 78 | 72 | 55 | 54 | 0 | 27 | 74 | 20 | 850,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Greg Cronin | 81 | 71 | 65 | 90 | 68 | 75 | 60 | USA | 61 | 4 | 1,000,000$ |
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Beckett Sennecke | LW/RW | 16 | 8 | 10 | 18 | 8 | 8 | 0 | 41 | 59 | 21 | 38 | 13.56% | 3 | 19.08 | 2 | 2 | 4 | 47 | 0 | 0 | 0 | 22 | 0 | 1 | 31.25% | 16 | 0 | 0 | 0 | 1 | 1.18 | 0 | 0 | ||
| 2 | William Eklund | C/LW | 16 | 5 | 12 | 17 | 8 | 0 | 0 | 13 | 56 | 17 | 47 | 8.93% | 3 | 23.05 | 0 | 5 | 5 | 54 | 0 | 0 | 0 | 46 | 2 | 0 | 50.00% | 30 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | ||
| 3 | Logan Stankoven | C/RW | 16 | 3 | 13 | 16 | 8 | 2 | 0 | 13 | 40 | 11 | 23 | 7.50% | 2 | 18.55 | 0 | 3 | 3 | 47 | 0 | 0 | 0 | 12 | 1 | 0 | 47.83% | 46 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | ||
| 4 | Shane Wright | C | 16 | 6 | 7 | 13 | 8 | 4 | 0 | 14 | 46 | 15 | 29 | 13.04% | 3 | 18.83 | 1 | 1 | 2 | 47 | 0 | 0 | 0 | 20 | 1 | 0 | 53.30% | 364 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | ||
| 5 | Ryan Leonard | C/RW | 16 | 3 | 10 | 13 | 8 | 29 | 5 | 57 | 51 | 15 | 39 | 5.88% | 2 | 22.04 | 0 | 3 | 3 | 54 | 0 | 0 | 0 | 38 | 0 | 0 | 47.92% | 192 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
| 6 | Jackson Blake | C/RW | 16 | 6 | 4 | 10 | -1 | 2 | 0 | 1 | 39 | 10 | 22 | 15.38% | 0 | 11.56 | 4 | 1 | 5 | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 47.06% | 17 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | ||
| 7 | Louis Crevier | D | 16 | 4 | 5 | 9 | 10 | 23 | 5 | 44 | 23 | 17 | 24 | 17.39% | 24 | 24.48 | 0 | 0 | 0 | 57 | 0 | 0 | 0 | 29 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
| 8 | Dalibor Dvorsky | C/RW | 16 | 2 | 6 | 8 | 8 | 2 | 0 | 15 | 29 | 7 | 22 | 6.90% | 2 | 15.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 53.54% | 325 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 9 | Alexander Nikishin | D | 16 | 1 | 6 | 7 | 10 | 8 | 0 | 32 | 25 | 7 | 15 | 4.00% | 22 | 25.03 | 0 | 1 | 1 | 58 | 0 | 0 | 0 | 33 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 10 | Noah Laba | C/RW | 16 | 5 | 2 | 7 | 5 | 2 | 0 | 21 | 25 | 14 | 25 | 20.00% | 5 | 10.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 61.45% | 166 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
| 11 | Lucas Pettersson | C/LW | 16 | 2 | 4 | 6 | 5 | 0 | 0 | 1 | 30 | 11 | 17 | 6.67% | 3 | 10.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
| 12 | Tom Willander | D | 16 | 2 | 4 | 6 | 3 | 12 | 0 | 28 | 19 | 4 | 6 | 10.53% | 20 | 20.20 | 2 | 1 | 3 | 44 | 0 | 0 | 0 | 25 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 13 | Justin Sourdif | C/RW | 16 | 1 | 3 | 4 | 5 | 4 | 0 | 20 | 35 | 6 | 13 | 2.86% | 1 | 10.74 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 14 | Tristan Luneau | D | 16 | 0 | 4 | 4 | 3 | 8 | 0 | 31 | 11 | 5 | 11 | 0.00% | 22 | 20.82 | 0 | 0 | 0 | 43 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
| 15 | Sam Dickinson | D | 16 | 1 | 2 | 3 | 7 | 4 | 0 | 31 | 8 | 3 | 13 | 12.50% | 18 | 14.62 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 16 | Dominic James | C/LW | 16 | 3 | 0 | 3 | -1 | 2 | 0 | 10 | 23 | 5 | 13 | 13.04% | 1 | 7.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 75.00% | 8 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 17 | Joe Veleno | C/RW | 16 | 0 | 2 | 2 | -1 | 2 | 0 | 17 | 13 | 4 | 5 | 0.00% | 2 | 8.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 51.25% | 160 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 18 | Zayne Parekh | D | 16 | 0 | 2 | 2 | 7 | 4 | 0 | 11 | 0 | 5 | 3 | 0.00% | 12 | 15.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
| Team Total or Average | 288 | 52 | 96 | 148 | 100 | 116 | 10 | 400 | 532 | 177 | 365 | 9.77% | 145 | 16.50 | 9 | 17 | 26 | 512 | 0 | 0 | 0 | 291 | 11 | 2 | 52.75% | 1344 | 0 | 0 | 0 | 1 | 0.62 | 0 | 0 |
| 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 | Jet Greaves | 16 | 11 | 4 | 1 | 0.929 | 2.06 | 931 | 0 | 0 | 32 | 452 | 0 | 0 | 0 | 0.000 | 0 | 16 | 0 | 1 | 1 | 3 | |
| 2 | Ilya Nabokov | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 34 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 0.000 | 0 | 0 | 16 | 0 | 0 | 0 | |
| Team Total or Average | 17 | 11 | 4 | 1 | 0.933 | 1.99 | 965 | 0 | 0 | 32 | 475 | 0 | 0 | 0 | 0.000 | 0 | 16 | 16 | 1 | 1 | 3 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexander Nikishin | D | 24 | 925,000$ | 925,000$ | 925,000$ | ||||||
| Avery Hayes | C | 23 | 830,000$ | 830,000$ | 830,000$ | ||||||
| Beckett Sennecke | LW/RW | 20 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Brady Martin | C | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Carson Bjarnason | G | 20 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
| Dalibor Dvorsky | C/RW | 20 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
| Dominic James | C/LW | 23 | 910,000$ | 910,000$ | 910,000$ | ||||||
| Etienne Morin | D | 21 | 871,666$ | 871,666$ | 871,666$ | 871,666$ | RFA | ||||
| Florian Xhekaj | C/LW | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
| Hendrix Lapierre | C | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Ilya Nabokov | G | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Jackson Blake | C/RW | 22 | 905,833$ | 905,833$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ |
| Jeremie Poirier | D | 23 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Jet Greaves | G | 25 | 900,000$ | 900,000$ | |||||||
| Joe Veleno | C/RW | 26 | 1,000,000$ | 1,000,000$ | |||||||
| Jordan Dumais | LW/RW | 22 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
| Justin Sourdif | C/RW | 24 | 950,000$ | 950,000$ | 950,000$ | ||||||
| Kai Uchacz | C/LW/RW | 22 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
| Logan Stankoven | C/RW | 23 | 814,167$ | 814,167$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ |
| Louis Crevier | D | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Lucas Pettersson | C/LW | 20 | 869,050$ | 869,050$ | 869,050$ | 869,050$ | RFA | ||||
| Michal Postava | G | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Noah Laba | C/RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Ryan Leonard | C/RW | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
| Sam Dickinson | D | 19 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Shane Wright | C | 22 | 886,666$ | 886,666$ | 886,666$ | RFA | |||||
| Taylor Makar | C/LW | 25 | 925,000$ | 925,000$ | |||||||
| Tij Iginla | C/LW | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Tom Willander | D | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
| Topias Leinonen | G | 22 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | |||||
| Tristan Luneau | D | 22 | 865,000$ | 865,000$ | 865,000$ | RFA | |||||
| William Eklund | C/LW | 23 | 863,333$ | 863,333$ | 5,600,000$ | 5,600,000$ | 5,600,000$ | ||||
| Zayne Parekh | D | 20 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA |
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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 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 8 | 0.571 | 18 | 34 | 52 | 0 | 0 | 16 | 19 | 17 | 0 | 242 | 170 | 197 | 163 | 2 | 182 | 63 | 62 | 178 | 18 | 3 | 16.67% | 18 | 7 | 61.11% | 0 | 299 | 562 | 53.20% | 283 | 550 | 51.45% | 127 | 232 | 54.74% | 388 | 266 | 374 | 117 | 205 | 103 | 62.5% | 7.4% | 91.2% | 98.6 | DULL | |
| 2 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 7 | 10 | 6 | 0.750 | 17 | 31 | 48 | 0 | 0 | 16 | 19 | 17 | 0 | 132 | 170 | 197 | 163 | 2 | 143 | 36 | 22 | 85 | 24 | 4 | 16.67% | 11 | 0 | 100.00% | 0 | 299 | 562 | 53.20% | 283 | 550 | 51.45% | 127 | 232 | 54.74% | 388 | 266 | 374 | 117 | 205 | 103 | 65.0% | 12.9% | 95.1% | 108.0 | LUCKY | |
| 3 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 9 | 8 | 8 | 0.800 | 17 | 31 | 48 | 0 | 0 | 16 | 19 | 17 | 0 | 158 | 170 | 197 | 163 | 2 | 150 | 46 | 32 | 137 | 16 | 2 | 12.50% | 15 | 2 | 86.67% | 0 | 299 | 562 | 53.20% | 283 | 550 | 51.45% | 127 | 232 | 54.74% | 388 | 266 | 374 | 117 | 205 | 103 | 68.2% | 10.8% | 94.0% | 104.8 | LUCKY | |
| _Vs Division | 5 | 11 | 5 | 0 | 0 | 0 | 0 | 0 | 17 | 9 | 8 | 22 | 2.200 | 17 | 31 | 48 | 0 | 0 | 16 | 19 | 17 | 0 | 158 | 170 | 197 | 163 | 2 | 150 | 46 | 32 | 137 | 16 | 2 | 12.50% | 15 | 2 | 86.67% | 0 | 299 | 562 | 53.20% | 283 | 550 | 51.45% | 127 | 232 | 54.74% | 388 | 266 | 374 | 117 | 205 | 103 | 68.2% | 10.8% | 94.0% | 104.8 | LUCKY | |
| _Vs Conference | 16 | 11 | 5 | 0 | 0 | 0 | 0 | 0 | 52 | 32 | 20 | 22 | 0.688 | 52 | 96 | 148 | 0 | 0 | 16 | 19 | 17 | 0 | 532 | 170 | 197 | 163 | 2 | 475 | 145 | 116 | 400 | 58 | 9 | 15.52% | 44 | 9 | 79.55% | 0 | 299 | 562 | 53.20% | 283 | 550 | 51.45% | 127 | 232 | 54.74% | 388 | 266 | 374 | 117 | 205 | 103 | 65.2% | 9.8% | 93.3% | 103.0 | LUCKY | |
| _Since Last GM Reset | 16 | 11 | 5 | 0 | 0 | 0 | 0 | 0 | 52 | 32 | 20 | 22 | 0.688 | 52 | 96 | 148 | 0 | 0 | 16 | 19 | 17 | 0 | 532 | 170 | 197 | 163 | 2 | 475 | 145 | 116 | 400 | 58 | 9 | 15.52% | 44 | 9 | 79.55% | 0 | 299 | 562 | 53.20% | 283 | 550 | 51.45% | 127 | 232 | 54.74% | 388 | 266 | 374 | 117 | 205 | 103 | 65.2% | 9.8% | 93.3% | 103.0 | LUCKY | |
| Total | 16 | 11 | 5 | 0 | 0 | 0 | 0 | 0 | 52 | 32 | 20 | 22 | 0.688 | 52 | 96 | 148 | 0 | 0 | 16 | 19 | 17 | 0 | 532 | 170 | 197 | 163 | 2 | 475 | 145 | 116 | 400 | 58 | 9 | 15.52% | 44 | 9 | 79.55% | 0 | 299 | 562 | 53.20% | 283 | 550 | 51.45% | 127 | 232 | 54.74% | 388 | 266 | 374 | 117 | 205 | 103 | 65.2% | 9.8% | 93.3% | 103.0 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 562 |
| Neutral Zone Start | 232 |
| Defensive Zone Start | 550 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 709 |
| Faceoffs Lost | 635 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.6 | 9.57 |
| 2nd Period | 22.9 | 20.31 |
| 3rd Period | 33.1 | 30.68 |
| Overtime | 33.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.3 | 2.67 |
| Overtime | 3.3 | 2.83 |
| Even Strenght Goal | 43 |
|---|---|
| PP Goal | 9 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 6 | 5 |
| Lost | 3 | 2 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 58 |
|---|---|
| PP Goal | 9 |
| PK Attempt | 44 |
| PK Goal Against | 9 |
| Home | |
|---|---|
| Shots For | 33.3 |
| Shots Against | 29.7 |
| Goals For | 3.3 |
| Goals Against | 2.0 |
| Hits | 25.0 |
| Shots Blocked | 9.1 |
| Pim | 7.3 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-04-20 | @ | Crunch2,Griffins3 | RECAP | |||||||||||
| 2026-04-22 | @ | Crunch2,Griffins1 (OT) | RECAP | |||||||||||
| 2026-04-24 | @ | Griffins2,Crunch3 | RECAP | |||||||||||
| 2026-04-26 | @ | Griffins2,Crunch3 | RECAP | |||||||||||
| 2026-04-28 | @ | Crunch1,Griffins2 | RECAP | |||||||||||
| 2026-04-30 | @ | Griffins4,Crunch3 | RECAP | |||||||||||
| 2026-05-02 | @ | Crunch2,Griffins4 | RECAP | |||||||||||
| 2026-05-04 | @ | Monsters2,Griffins1 | RECAP | |||||||||||
| 2026-05-06 | @ | Monsters1,Griffins4 | RECAP | |||||||||||
| 2026-05-08 | @ | Griffins3,Monsters1 | RECAP | |||||||||||
| 2026-05-10 | @ | Griffins3,Monsters2 | RECAP | |||||||||||
| 2026-05-12 | @ | Monsters3,Griffins6 | RECAP | |||||||||||
| 2026-05-18 | @ | Americans4,Griffins3 | RECAP | |||||||||||
| 2026-05-20 | @ | Americans1,Griffins6 | RECAP | |||||||||||
| 2026-05-22 | @ | Griffins4,Americans1 | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-05-24 | @ | Griffins4,Americans1 | RECAP | |||||||||||
| 2026-05-26 | @ | |||||||||||||
| 2026-05-28 | @ | |||||||||||||
| 2026-05-30 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,989,156$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Grand Rapids | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| 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 |
| 27 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,989,156$ | 2,989,156$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 6 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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