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Full Scoreboard »» |
| Grand Rapids Griffins 6-3-0, 12pts · 4th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hendrix Lapierre | 0 | C | 100.00 | 61 | 32 | 96 | 63 | 71 | 74 | 77 | 61 | 72 | 67 | 61 | 60 | 61 | 63 | 63 | 0 | 46 | 72 | 23 | 900,000$/2yrs | |||
Zachary L'Heureux | 0 | LW | 100.00 | 91 | 53 | 71 | 60 | 75 | 76 | 75 | 57 | 55 | 61 | 59 | 63 | 58 | 61 | 58 | 0 | 47 | 71 | 22 | 863,334$/1yrs | |||
Gabe Perreault (R) | 0 | RW | 100.00 | 71 | 39 | 75 | 63 | 69 | 69 | 89 | 60 | 41 | 63 | 60 | 64 | 62 | 58 | 55 | 0 | 46 | 71 | 20 | 941,667$/3yrs | |||
Dalibor Dvorsky (R) | 0 | C | 100.00 | 62 | 39 | 87 | 61 | 81 | 66 | 69 | 58 | 48 | 59 | 60 | 61 | 60 | 58 | 56 | 0 | 46 | 69 | 20 | 886,666$/3yrs | |||
Terik Parascak (R) | 0 | RW | 100.00 | 67 | 39 | 79 | 62 | 71 | 66 | 90 | 57 | 44 | 60 | 60 | 61 | 60 | 54 | 52 | 0 | 46 | 69 | 19 | 942,500$/3yrs | |||
Florian Xhekaj (R) | 0 | LW | 100.00 | 99 | 46 | 50 | 58 | 83 | 64 | 69 | 59 | 63 | 54 | 60 | 62 | 57 | 59 | 54 | 0 | 40 | 69 | 21 | 950,000$/2yrs | |||
Matt Rempe | 0 | C/RW | 100.00 | 87 | 75 | 50 | 55 | 99 | 68 | 74 | 58 | 58 | 58 | 58 | 56 | 58 | 62 | 57 | 0 | 46 | 68 | 23 | 900,000$/3yrs | |||
Beckett Sennecke (R) | 0 | RW | 100.00 | 80 | 41 | 64 | 60 | 80 | 64 | 88 | 55 | 40 | 57 | 57 | 61 | 57 | 54 | 50 | 0 | 46 | 68 | 19 | 942,500$/3yrs | |||
Tij Iginla (R) | 0 | C | 100.00 | 65 | 39 | 81 | 61 | 75 | 65 | 89 | 58 | 41 | 57 | 61 | 60 | 59 | 54 | 52 | 0 | 46 | 68 | 19 | 942,500$/3yrs | |||
Anton Wahlberg (R) | 0 | C | 100.00 | 58 | 39 | 94 | 58 | 81 | 64 | 67 | 58 | 55 | 57 | 55 | 61 | 56 | 57 | 57 | 0 | 34 | 67 | 20 | 896,667$/1yrs | |||
Ethan Gauthier (R) | 0 | RW | 100.00 | 67 | 39 | 79 | 63 | 72 | 66 | 60 | 58 | 46 | 53 | 53 | 59 | 61 | 54 | 52 | 0 | 46 | 66 | 20 | 833,333$/3yrs | |||
Simon Benoit | 0 | D | 100.00 | 90 | 46 | 72 | 55 | 82 | 84 | 87 | 56 | 30 | 57 | 53 | 74 | 54 | 69 | 66 | 0 | 43 | 72 | 27 | 1,200,000$/1yrs | |||
Tristan Luneau (R) | 0 | D | 100.00 | 62 | 40 | 87 | 59 | 85 | 67 | 67 | 56 | 30 | 66 | 54 | 63 | 60 | 59 | 58 | 0 | 46 | 72 | 21 | 865,000$/2yrs | |||
Maveric Lamoureux (R) | 0 | D | 100.00 | 70 | 67 | 50 | 57 | 83 | 83 | 67 | 50 | 30 | 60 | 59 | 57 | 54 | 60 | 55 | 0 | 46 | 69 | 21 | 876,667$/2yrs | |||
Zayne Parekh (R) | 0 | D | 100.00 | 72 | 40 | 67 | 59 | 72 | 66 | 89 | 55 | 30 | 60 | 58 | 62 | 59 | 54 | 51 | 0 | 46 | 69 | 19 | 942,500$/3yrs | |||
Jeremie Poirier (R) | 0 | D | 100.00 | 71 | 40 | 72 | 53 | 75 | 64 | 81 | 51 | 30 | 59 | 51 | 63 | 55 | 59 | 56 | 0 | 46 | 68 | 23 | 850,000$/2yrs | |||
Radim Mrtka (R) | 0 | D | 100.00 | 80 | 42 | 64 | 58 | 90 | 63 | 81 | 53 | 30 | 58 | 52 | 61 | 55 | 54 | 50 | 0 | 46 | 68 | 18 | 975,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Joshua Roy | 0 | LW/RW | 95.00 | 61 | 33 | 97 | 64 | 75 | 75 | 70 | 61 | 59 | 60 | 66 | 65 | 64 | 61 | 60 | 0 | 45 | 72 | 22 | 835,000$/1yrs | |||
Jordan Dumais (R) | 0 | RW | 100.00 | 59 | 37 | 93 | 58 | 65 | 64 | 66 | 59 | 49 | 58 | 56 | 62 | 57 | 59 | 58 | 0 | 31 | 68 | 21 | 860,000$/2yrs | |||
Kai Uchacz | 0 | C/LW/RW | 100.00 | 77 | 42 | 63 | 57 | 82 | 64 | 68 | 60 | 42 | 55 | 57 | 63 | 56 | 61 | 57 | 0 | 31 | 68 | 22 | 845,000$/2yrs | |||
Luke Haymes | 0 | C/LW | 100.00 | 68 | 39 | 78 | 59 | 76 | 65 | 79 | 58 | 35 | 55 | 61 | 62 | 58 | 59 | 57 | 0 | 31 | 68 | 22 | 875,000$/2yrs | |||
Avery Hayes | 0 | C | 100.00 | 59 | 37 | 92 | 52 | 66 | 60 | 70 | 60 | 61 | 48 | 53 | 63 | 50 | 59 | 58 | 0 | 31 | 65 | 23 | 830,000$/2yrs | |||
Mathieu Cataford (R) | 0 | C/RW | 100.00 | 75 | 40 | 66 | 53 | 73 | 59 | 66 | 57 | 57 | 55 | 45 | 60 | 50 | 54 | 50 | 0 | 33 | 64 | 20 | 801,666$/3yrs | |||
Finn Harding | 0 | D | 100.00 | 80 | 41 | 64 | 56 | 77 | 65 | 90 | 55 | 30 | 58 | 53 | 65 | 55 | 59 | 56 | 0 | 31 | 69 | 20 | 885,000$/3yrs | |||
Etienne Morin (R) | 0 | D | 100.00 | 65 | 39 | 81 | 55 | 74 | 62 | 86 | 52 | 30 | 56 | 54 | 61 | 55 | 56 | 54 | 0 | 31 | 67 | 20 | 871,666$/3yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ilya Nabokov | 0 | 99.00 | 82 | 91 | 82 | 72 | 84 | 80 | 84 | 84 | 80 | 80 | 81 | 63 | 72 | 0 | 48 | 84 | 22 | 975,000$/2yrs |
Carson Bjarnason | 0 | 100.00 | 72 | 78 | 67 | 78 | 63 | 70 | 70 | 72 | 70 | 72 | 71 | 55 | 57 | 0 | 48 | 74 | 20 | 850,000$/3yrs |
| Scratches | ||||||||||||||||||||
Michal Postava | 0 | 100.00 | 79 | 95 | 78 | 81 | 78 | 76 | 79 | 79 | 76 | 76 | 78 | 64 | 74 | 0 | 36 | 82 | 23 | 975,000$/2yrs |
Topias Leinonen | 0 | 100.00 | 74 | 71 | 71 | 95 | 56 | 76 | 74 | 74 | 76 | 77 | 75 | 60 | 67 | 0 | 36 | 77 | 21 | 886,667$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Greg Cronin | 81 | 71 | 65 | 90 | 68 | 75 | 60 | USA | 61 | 4 | 1,000,000$ |
| 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 | Zayne Parekh | D | 9 | 1 | 7 | 8 | 2 | 2 | 0 | 11 | 5 | 1 | 11 | 20.00% | 14 | 20.96 | 1 | 3 | 4 | 22 | 0 | 0 | 0 | 24 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
| 2 | Zachary L'Heureux | LW | 9 | 0 | 6 | 6 | 0 | 19 | 5 | 31 | 21 | 8 | 11 | 0.00% | 0 | 19.39 | 0 | 2 | 2 | 21 | 0 | 0 | 0 | 15 | 0 | 0 | 61.54% | 13 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
| 3 | Dalibor Dvorsky | C | 9 | 5 | 1 | 6 | -1 | 0 | 0 | 1 | 28 | 5 | 16 | 17.86% | 1 | 19.18 | 2 | 1 | 3 | 21 | 0 | 0 | 0 | 18 | 2 | 1 | 48.13% | 214 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 4 | Hendrix Lapierre | C | 9 | 2 | 3 | 5 | 4 | 0 | 0 | 5 | 17 | 9 | 16 | 11.76% | 3 | 19.92 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 34 | 1 | 0 | 59.92% | 257 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
| 5 | Terik Parascak | RW | 9 | 2 | 3 | 5 | -1 | 0 | 0 | 2 | 27 | 13 | 14 | 7.41% | 1 | 18.13 | 1 | 3 | 4 | 21 | 0 | 0 | 0 | 8 | 1 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 6 | Simon Benoit | D | 9 | 1 | 3 | 4 | 1 | 9 | 5 | 32 | 13 | 7 | 11 | 7.69% | 17 | 23.58 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.38 | 0 | 0 | ||
| 7 | Joshua Roy | LW/RW | 9 | 2 | 2 | 4 | 3 | 2 | 0 | 4 | 34 | 8 | 19 | 5.88% | 4 | 24.49 | 0 | 1 | 1 | 23 | 0 | 0 | 0 | 29 | 0 | 0 | 42.86% | 14 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 8 | Jeremie Poirier | D | 9 | 0 | 4 | 4 | 4 | 8 | 0 | 9 | 5 | 0 | 1 | 0.00% | 9 | 15.90 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
| 9 | Matt Rempe | C/RW | 9 | 1 | 3 | 4 | 3 | 6 | 0 | 13 | 10 | 5 | 15 | 10.00% | 0 | 14.43 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 60.78% | 153 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
| 10 | Tristan Luneau | D | 9 | 2 | 2 | 4 | 0 | 2 | 0 | 0 | 11 | 1 | 7 | 18.18% | 5 | 23.38 | 1 | 0 | 1 | 22 | 0 | 0 | 0 | 26 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
| 11 | Florian Xhekaj | LW | 8 | 3 | 1 | 4 | 2 | 14 | 0 | 22 | 23 | 7 | 15 | 13.04% | 1 | 14.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 66.67% | 9 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 12 | Maveric Lamoureux | D | 9 | 1 | 2 | 3 | 1 | 4 | 0 | 25 | 8 | 2 | 4 | 12.50% | 7 | 21.16 | 1 | 0 | 1 | 22 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
| 13 | Radim Mrtka | D | 9 | 1 | 2 | 3 | 4 | 6 | 0 | 20 | 4 | 1 | 3 | 25.00% | 5 | 14.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
| 14 | Gabe Perreault | RW | 9 | 1 | 2 | 3 | 4 | 6 | 0 | 15 | 23 | 6 | 14 | 4.35% | 1 | 15.71 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 21 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
| 15 | Beckett Sennecke | RW | 9 | 0 | 2 | 2 | 3 | 2 | 0 | 2 | 22 | 8 | 25 | 0.00% | 0 | 13.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
| 16 | Anton Wahlberg | C | 9 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 10 | 3 | 2 | 10.00% | 1 | 9.64 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 49.52% | 105 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
| 17 | Tij Iginla | C | 9 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 6 | 0 | 4 | 0.00% | 0 | 6.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.06% | 17 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 18 | Ethan Gauthier | RW | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0.00% | 0 | 0.16 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 19 | Mathieu Cataford | C/RW | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 2 | 0.00% | 0 | 5.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 163 | 23 | 44 | 67 | 30 | 82 | 10 | 199 | 268 | 85 | 191 | 8.58% | 69 | 16.29 | 6 | 10 | 16 | 238 | 0 | 0 | 0 | 231 | 6 | 1 | 54.01% | 822 | 0 | 0 | 1 | 0 | 0.50 | 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 | Ilya Nabokov | 9 | 6 | 3 | 0 | 0.954 | 1.34 | 539 | 0 | 3 | 12 | 259 | 0 | 0 | 0 | 0.000 | 0 | 9 | 0 | 3 | 1 | 1 | |
| Team Total or Average | 9 | 6 | 3 | 0 | 0.954 | 1.34 | 539 | 0 | 3 | 12 | 259 | 0 | 0 | 0 | 0.000 | 0 | 9 | 0 | 3 | 1 | 1 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Anton Wahlberg | C | 20 | 896,667$ | 896,667$ | RFA | ||||||
| Avery Hayes | C | 23 | 830,000$ | 830,000$ | 830,000$ | ||||||
| Beckett Sennecke | RW | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Carson Bjarnason | G | 20 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
| Dalibor Dvorsky | C | 20 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
| Ethan Gauthier | RW | 20 | 833,333$ | 833,333$ | 833,333$ | 833,333$ | RFA | ||||
| Etienne Morin | D | 20 | 871,666$ | 871,666$ | 871,666$ | 871,666$ | RFA | ||||
| Finn Harding | D | 20 | 885,000$ | 885,000$ | 885,000$ | 885,000$ | RFA | ||||
| Florian Xhekaj | LW | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
| Gabe Perreault | RW | 20 | 941,667$ | 941,667$ | 941,667$ | 941,667$ | RFA | ||||
| Hendrix Lapierre | C | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Ilya Nabokov | G | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jeremie Poirier | D | 23 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Jordan Dumais | RW | 21 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
| Joshua Roy | LW/RW | 22 | 835,000$ | 835,000$ | RFA | ||||||
| Kai Uchacz | C/LW/RW | 22 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
| Luke Haymes | C/LW | 22 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
| Mathieu Cataford | C/RW | 20 | 801,666$ | 801,666$ | 801,666$ | 801,666$ | RFA | ||||
| Matt Rempe | C/RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Maveric Lamoureux | D | 21 | 876,667$ | 876,667$ | 876,667$ | RFA | |||||
| Michal Postava | G | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Radim Mrtka | D | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Simon Benoit | D | 27 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| Terik Parascak | RW | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Tij Iginla | C | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Topias Leinonen | G | 21 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
| Tristan Luneau | D | 21 | 865,000$ | 865,000$ | 865,000$ | RFA | |||||
| Zachary L'Heureux | LW | 22 | 863,334$ | 863,334$ | RFA | ||||||
| Zayne Parekh | D | 19 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 9 | 4 | 11 | 0 | 24 | 93 | 73 | 101 | 0 | 26 | 8 | 12 | 18 | 2 | 2 | 100.00% | 0 | 0 | 0.00% | 0 | 173 | 316 | 54.75% | 188 | 341 | 55.13% | 61 | 114 | 53.51% | 207 | 137 | 213 | 71 | 118 | 58 | 50.0% | 16.7% | 92.3% | 109.0 | LUCKY | |
| 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 1 | 9 | 4 | 11 | 0 | 69 | 93 | 73 | 101 | 0 | 45 | 15 | 18 | 47 | 7 | 1 | 14.29% | 9 | 0 | 100.00% | 0 | 173 | 316 | 54.75% | 188 | 341 | 55.13% | 61 | 114 | 53.51% | 207 | 137 | 213 | 71 | 118 | 58 | 57.1% | 7.2% | 93.3% | 100.6 | DULL | |
| 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 12 | 19 | 0 | 1 | 9 | 4 | 11 | 0 | 65 | 93 | 73 | 101 | 0 | 55 | 10 | 18 | 40 | 3 | 1 | 33.33% | 9 | 0 | 100.00% | 0 | 173 | 316 | 54.75% | 188 | 341 | 55.13% | 61 | 114 | 53.51% | 207 | 137 | 213 | 71 | 118 | 58 | 85.7% | 10.8% | 98.2% | 109.0 | LUCKY | |
| 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 0.667 | 8 | 15 | 23 | 0 | 1 | 9 | 4 | 11 | 0 | 84 | 93 | 73 | 101 | 0 | 100 | 27 | 20 | 71 | 15 | 2 | 13.33% | 10 | 0 | 100.00% | 0 | 173 | 316 | 54.75% | 188 | 341 | 55.13% | 61 | 114 | 53.51% | 207 | 137 | 213 | 71 | 118 | 58 | 60.0% | 9.5% | 96.0% | 105.5 | LUCKY | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 11 | 0 | 25 | 93 | 73 | 101 | 0 | 33 | 8 | 14 | 23 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 173 | 316 | 54.75% | 188 | 341 | 55.13% | 61 | 114 | 53.51% | 207 | 137 | 213 | 71 | 118 | 58 | 0.0% | 0.0% | 93.9% | 93.9 | DULL | |
| _Vs Division | 1 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 12 | 6.000 | 4 | 8 | 12 | 0 | 0 | 9 | 4 | 11 | 0 | 24 | 93 | 73 | 101 | 0 | 26 | 8 | 12 | 18 | 2 | 2 | 100.00% | 0 | 0 | 0.00% | 0 | 173 | 316 | 54.75% | 188 | 341 | 55.13% | 61 | 114 | 53.51% | 207 | 137 | 213 | 71 | 118 | 58 | 50.0% | 16.7% | 92.3% | 109.0 | LUCKY | |
| _Vs Conference | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 12 | 12 | 12 | 0.667 | 24 | 44 | 68 | 0 | 3 | 9 | 4 | 11 | 0 | 267 | 93 | 73 | 101 | 0 | 259 | 68 | 82 | 199 | 28 | 6 | 21.43% | 34 | 0 | 100.00% | 0 | 173 | 316 | 54.75% | 188 | 341 | 55.13% | 61 | 114 | 53.51% | 207 | 137 | 213 | 71 | 118 | 58 | 60.0% | 9.0% | 95.4% | 104.4 | LUCKY | |
| _Since Last GM Reset | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 12 | 12 | 12 | 0.667 | 24 | 44 | 68 | 0 | 3 | 9 | 4 | 11 | 0 | 267 | 93 | 73 | 101 | 0 | 259 | 68 | 82 | 199 | 28 | 6 | 21.43% | 34 | 0 | 100.00% | 0 | 173 | 316 | 54.75% | 188 | 341 | 55.13% | 61 | 114 | 53.51% | 207 | 137 | 213 | 71 | 118 | 58 | 60.0% | 9.0% | 95.4% | 104.4 | LUCKY | |
| Total | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 12 | 12 | 12 | 0.667 | 24 | 44 | 68 | 0 | 3 | 9 | 4 | 11 | 0 | 267 | 93 | 73 | 101 | 0 | 259 | 68 | 82 | 199 | 28 | 6 | 21.43% | 34 | 0 | 100.00% | 0 | 173 | 316 | 54.75% | 188 | 341 | 55.13% | 61 | 114 | 53.51% | 207 | 137 | 213 | 71 | 118 | 58 | 60.0% | 9.0% | 95.4% | 104.4 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 316 |
| Neutral Zone Start | 114 |
| Defensive Zone Start | 341 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 422 |
| Faceoffs Lost | 349 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.3 | 9.57 |
| 2nd Period | 18.4 | 20.31 |
| 3rd Period | 29.7 | 30.68 |
| Overtime | 29.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.4 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 18 |
|---|---|
| PP Goal | 6 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 3 | 3 |
| Lost | 1 | 2 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 28 |
|---|---|
| PP Goal | 6 |
| PK Attempt | 34 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | 29.7 |
| Shots Against | 28.8 |
| Goals For | 2.7 |
| Goals Against | 1.3 |
| Hits | 22.1 |
| Shots Blocked | 7.6 |
| Pim | 9.1 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,619,835$ | 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 |
| 32 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,619,835$ | 2,619,835$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 400,242$ | 14,555$ | 289,139$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 172 | 20,110$ | 3,217,600$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,217,600$ | 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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