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Full Scoreboard »» |
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Full Scoreboard »» |
Grand Rapids Griffins 0-1-0, 0pts · 8th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 98.00 | 65 | 32 | 88 | 79 | 71 | 84 | 83 | 74 | 58 | 74 | 80 | 63 | 77 | 62 | 61 | 0 | 46 | 83 | 22 | 894,167$/9yrs | |||
![]() | 0 | C/LW/RW | 98.00 | 81 | 35 | 88 | 71 | 80 | 81 | 83 | 68 | 61 | 70 | 73 | 63 | 71 | 64 | 63 | 0 | 52 | 79 | 23 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 98.00 | 99 | 39 | 82 | 64 | 75 | 78 | 88 | 65 | 60 | 66 | 68 | 69 | 66 | 76 | 74 | 0 | 18 | 78 | 30 | 1,000,000$/3yrs | |||
![]() | 0 | C | 99.00 | 80 | 32 | 84 | 71 | 73 | 81 | 77 | 65 | 78 | 65 | 71 | 64 | 68 | 60 | 58 | 0 | 62 | 77 | 21 | 886,667$/3yrs | |||
![]() | 0 | C | 100.00 | 71 | 35 | 84 | 69 | 73 | 77 | 80 | 63 | 59 | 64 | 71 | 59 | 67 | 62 | 60 | 0 | 67 | 75 | 22 | 863,333$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 31 | 93 | 65 | 64 | 74 | 75 | 60 | 60 | 65 | 63 | 61 | 62 | 65 | 64 | 0 | 53 | 73 | 24 | 1,000,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 63 | 32 | 95 | 61 | 70 | 77 | 76 | 60 | 75 | 63 | 64 | 59 | 62 | 63 | 63 | 0 | 60 | 72 | 23 | 894,167$/1yrs | |||
![]() | 0 | C | 99.00 | 61 | 32 | 96 | 63 | 71 | 74 | 77 | 61 | 72 | 67 | 61 | 60 | 61 | 63 | 63 | 0 | 56 | 72 | 23 | 863,333$/1yrs | |||
![]() | 0 | LW | 100.00 | 91 | 53 | 71 | 60 | 75 | 76 | 75 | 57 | 55 | 61 | 59 | 63 | 58 | 61 | 58 | 0 | 65 | 71 | 21 | 894,167$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 87 | 75 | 50 | 55 | 99 | 68 | 74 | 58 | 58 | 58 | 58 | 56 | 58 | 62 | 57 | 0 | 19 | 68 | 22 | 820,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 80 | 41 | 64 | 60 | 80 | 64 | 88 | 55 | 40 | 57 | 57 | 61 | 57 | 54 | 50 | 0 | 55 | 68 | 19 | 975,000$/3yrs | |||
![]() | 0 | C | 100.00 | 65 | 39 | 81 | 61 | 75 | 65 | 89 | 58 | 41 | 57 | 61 | 60 | 59 | 54 | 52 | 0 | 54 | 68 | 18 | 975,000$/3yrs | |||
![]() | 3 | D | 98.00 | 70 | 36 | 74 | 63 | 87 | 90 | 80 | 60 | 30 | 67 | 60 | 71 | 60 | 62 | 59 | 0 | 66 | 76 | 22 | 894,167$/2yrs | |||
![]() | 0 | D | 98.00 | 90 | 46 | 72 | 55 | 82 | 84 | 87 | 56 | 30 | 57 | 53 | 74 | 54 | 69 | 66 | 0 | 37 | 72 | 26 | 1,200,000$/2yrs | |||
![]() | 0 | D | 98.00 | 62 | 40 | 87 | 59 | 85 | 67 | 67 | 56 | 30 | 66 | 54 | 63 | 60 | 59 | 58 | 0 | 55 | 72 | 21 | 865,000$/3yrs | |||
![]() | 0 | D | 98.00 | 68 | 38 | 84 | 66 | 71 | 69 | 93 | 56 | 30 | 63 | 65 | 60 | 64 | 56 | 54 | 0 | 53 | 72 | 20 | 950,000$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 40 | 67 | 59 | 72 | 66 | 89 | 55 | 30 | 60 | 58 | 62 | 59 | 54 | 51 | 0 | 54 | 69 | 19 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 71 | 40 | 72 | 53 | 75 | 64 | 81 | 51 | 30 | 59 | 51 | 63 | 55 | 59 | 56 | 0 | 74 | 68 | 22 | 823,333$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 55 | 38 | 72 | 68 | 80 | 85 | 73 | 67 | 94 | 68 | 73 | 69 | 70 | 87 | 99 | 0 | 24 | 80 | 37 | 2,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 59 | 39 | 93 | 59 | 82 | 68 | 69 | 62 | 60 | 58 | 61 | 65 | 60 | 65 | 64 | 0 | 49 | 71 | 24 | 870,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 67 | 39 | 79 | 62 | 71 | 66 | 90 | 57 | 44 | 60 | 60 | 61 | 60 | 54 | 52 | 0 | 57 | 69 | 18 | 975,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 71 | 41 | 72 | 56 | 85 | 64 | 69 | 61 | 44 | 55 | 57 | 64 | 56 | 63 | 60 | 0 | 76 | 68 | 23 | 859,167$/1yrs | |||
![]() | 0 | C | 100.00 | 78 | 42 | 61 | 55 | 88 | 63 | 68 | 60 | 60 | 55 | 54 | 64 | 54 | 61 | 57 | 0 | 23 | 68 | 21 | 866,667$/3yrs | |||
![]() | 0 | RW | 100.00 | 59 | 37 | 93 | 58 | 65 | 64 | 66 | 59 | 49 | 58 | 56 | 62 | 57 | 59 | 58 | 0 | 63 | 68 | 21 | 860,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 67 | 39 | 79 | 63 | 72 | 66 | 60 | 58 | 46 | 53 | 53 | 59 | 61 | 54 | 52 | 0 | 29 | 66 | 20 | 865,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 40 | 66 | 53 | 73 | 59 | 66 | 57 | 57 | 55 | 45 | 60 | 50 | 54 | 50 | 0 | 23 | 64 | 20 | 828,333$/3yrs | |||
![]() | 0 | D | 100.00 | 65 | 39 | 81 | 55 | 74 | 62 | 86 | 52 | 30 | 56 | 54 | 61 | 55 | 56 | 54 | 0 | 55 | 67 | 20 | 903,333$/3yrs | |||
![]() | 0 | D | 100.00 | 67 | 41 | 79 | 47 | 87 | 60 | 65 | 46 | 30 | 52 | 50 | 62 | 51 | 57 | 55 | 0 | 25 | 64 | 19 | 900,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 1 | 98.00 | 85 | 95 | 81 | 72 | 87 | 80 | 89 | 93 | 87 | 92 | 89 | 67 | 72 | 0 | 66 | 88 | 24 | 1,000,000$/1yrs |
![]() | 0 | 100.00 | 74 | 73 | 71 | 83 | 67 | 75 | 75 | 74 | 75 | 74 | 75 | 65 | 66 | 0 | 54 | 77 | 23 | 836,667$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 75 | 77 | 72 | 92 | 61 | 77 | 76 | 75 | 77 | 76 | 76 | 64 | 65 | 0 | 49 | 79 | 22 | 863,333$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Greg Cronin | 81 | 71 | 65 | 90 | 68 | 75 | 60 | USA | 60 | 5 | 1,000,000$ |
General Manager |
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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 |
# | 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 | Kiefer Sherwood | C/LW/RW | 1 | 1 | 1 | 2 | 2 | 2 | 0 | 7 | 5 | 1 | 2 | 20.00% | 1 | 28.37 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 0 | 0 | 42.86% | 14 | 0 | 0 | 0 | 0 | 1.41 | 0 | 0 | ||
2 | Tristan Luneau | D | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 100.00% | 3 | 30.42 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.32 | 0 | 0 | ||
3 | Mavrik Bourque | C/RW | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 2 | 2 | 0.00% | 0 | 24.67 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | ||
4 | Dylan Holloway | C/LW/RW | 1 | 0 | 1 | 1 | 0 | 2 | 0 | 2 | 6 | 2 | 6 | 0.00% | 0 | 31.12 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 3 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
5 | Simon Edvinsson | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 7 | 0.00% | 3 | 36.45 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
6 | Marco Kasper | C | 1 | 1 | 0 | 1 | 0 | 2 | 0 | 1 | 2 | 1 | 4 | 50.00% | 1 | 27.28 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 59.57% | 47 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
7 | Simon Benoit | D | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 4 | 3 | 0 | 0 | 0.00% | 3 | 34.87 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Jakob Pelletier | C/LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 2 | 0.00% | 0 | 15.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Hendrix Lapierre | C | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 1 | 2 | 0.00% | 0 | 26.88 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 3 | 0 | 0 | 44.74% | 38 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Dylan Guenther | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 4 | 0.00% | 1 | 33.15 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Jeremie Poirier | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 7 | 1 | 0 | 0 | 0.00% | 0 | 19.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Zachary Bolduc | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 3 | 1 | 0 | 0.00% | 0 | 14.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.38% | 21 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Zachary L'Heureux | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 3 | 0.00% | 0 | 10.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Matt Rempe | C/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 3 | 0 | 0 | 0.00% | 0 | 14.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Beckett Sennecke | RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 0 | 1 | 0.00% | 0 | 10.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Tij Iginla | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 10.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 14 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Axel Sandin Pellikka | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | 1 | 0 | 0.00% | 0 | 30.72 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Zayne Parekh | D | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 1 | 0 | 0 | 0.00% | 2 | 20.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 18 | 3 | 5 | 8 | 5 | 12 | 0 | 30 | 48 | 14 | 36 | 6.25% | 14 | 23.29 | 0 | 0 | 0 | 49 | 0 | 0 | 0 | 39 | 0 | 0 | 51.05% | 143 | 0 | 0 | 0 | 0 | 0.38 | 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 | Lukas Dostal | 1 | 0 | 0 | 1 | 0.931 | 2.82 | 85 | 0 | 0 | 4 | 58 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
Team Total or Average | 1 | 0 | 0 | 1 | 0.931 | 2.82 | 85 | 0 | 0 | 4 | 58 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Arttu Hyry | C/RW | 24 | 870,000$ | 870,000$ | 870,000$ | ||||||
Axel Sandin Pellikka | D | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Beckett Sennecke | RW | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Dylan Guenther | LW/RW | 22 | 894,167$ | 894,167$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ |
Dylan Holloway | C/LW/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Ethan Gauthier | RW | 20 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
Etienne Morin | D | 20 | 903,333$ | 903,333$ | 903,333$ | 903,333$ | RFA | ||||
Hendrix Lapierre | C | 23 | 863,333$ | 863,333$ | RFA | ||||||
Jakob Pelletier | C/LW | 24 | 1,000,000$ | 1,000,000$ | |||||||
Jakub Dvorak | D | 19 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Jeremie Poirier | D | 22 | 823,333$ | 823,333$ | RFA | ||||||
Jonathan Toews | C | 37 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Jordan Dumais | RW | 21 | 860,000$ | 860,000$ | 860,000$ | 860,000$ | RFA | ||||
Kiefer Sherwood | C/LW/RW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Lukas Dostal | G | 24 | 1,000,000$ | 1,000,000$ | |||||||
Marco Kasper | C | 21 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
Mathieu Cataford | C/RW | 20 | 828,333$ | 828,333$ | 828,333$ | 828,333$ | RFA | ||||
Matt Rempe | C/RW | 22 | 820,000$ | 820,000$ | RFA | ||||||
Mavrik Bourque | C/RW | 23 | 894,167$ | 894,167$ | RFA | ||||||
Nathan Gaucher | C | 21 | 866,667$ | 866,667$ | 866,667$ | 866,667$ | RFA | ||||
Remi Poirier | G | 23 | 836,667$ | 836,667$ | RFA | ||||||
Sebastian Cossa | G | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Simon Benoit | D | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Simon Edvinsson | D | 22 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Terik Parascak | RW | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Tij Iginla | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Tristan Luneau | D | 21 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
William Dufour | RW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Zachary Bolduc | C | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Zachary L'Heureux | LW | 21 | 894,167$ | 894,167$ | RFA | ||||||
Zayne Parekh | D | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 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 |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 48 | 14 | 13 | 11 | 10 | 58 | 14 | 12 | 30 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 23 | 56 | 41.07% | 31 | 58 | 53.45% | 19 | 29 | 65.52% | 33 | 22 | 32 | 10 | 19 | 9 | 60.0% | 6.3% | 93.1% | 99.4 | DULL | |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 48 | 14 | 13 | 11 | 10 | 58 | 14 | 12 | 30 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 23 | 56 | 41.07% | 31 | 58 | 53.45% | 19 | 29 | 65.52% | 33 | 22 | 32 | 10 | 19 | 9 | 60.0% | 6.3% | 93.1% | 99.4 | DULL | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 48 | 14 | 13 | 11 | 10 | 58 | 14 | 12 | 30 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 23 | 56 | 41.07% | 31 | 58 | 53.45% | 19 | 29 | 65.52% | 33 | 22 | 32 | 10 | 19 | 9 | 60.0% | 6.3% | 93.1% | 99.4 | DULL | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 48 | 14 | 13 | 11 | 10 | 58 | 14 | 12 | 30 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 23 | 56 | 41.07% | 31 | 58 | 53.45% | 19 | 29 | 65.52% | 33 | 22 | 32 | 10 | 19 | 9 | 60.0% | 6.3% | 93.1% | 99.4 | DULL | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 48 | 14 | 13 | 11 | 10 | 58 | 14 | 12 | 30 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 23 | 56 | 41.07% | 31 | 58 | 53.45% | 19 | 29 | 65.52% | 33 | 22 | 32 | 10 | 19 | 9 | 60.0% | 6.3% | 93.1% | 99.4 | DULL |
Puck Time | |
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Offensive Zone | 33 |
Neutral Zone | 19 |
Defensive Zone | 32 |
Puck Time | |
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Offensive Zone Start | 56 |
Neutral Zone Start | 29 |
Defensive Zone Start | 58 |
Puck Time | |
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With Puck | 43 |
Without Puck | 42 |
Faceoffs | |
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Faceoffs Won | 73 |
Faceoffs Lost | 70 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.0 | 9.57 |
2nd Period | 27.0 | 20.31 |
3rd Period | 38.0 | 30.68 |
Overtime | 48.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 3 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 5 |
---|---|
PP Goal | 0 |
PK Attempt | 6 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 48.0 |
Shots Against | 58.0 |
Goals For | 3.0 |
Goals Against | 4.0 |
Hits | 30.0 |
Shots Blocked | 14.0 |
Pim | 12.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-01 | @ | Griffins3,Monsters4 (OT) | RECAP | |||||||||||
2025-05-03 | @ | |||||||||||||
2025-05-05 | @ | |||||||||||||
2025-05-07 | @ | |||||||||||||
2025-05-09 | @ | |||||||||||||
2025-05-11 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,740,084$ | 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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,740,084$ | 2,740,084$ | 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$ | 12 | 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 |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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