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Full Scoreboard »» |
![]() | Grand Rapids Griffins 1-1-2, 4pts · 10th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 20 | C/RW | 99.00 | 66 | 41 | 81 | 79 | 74 | 75 | 68 | 75 | 65 | 66 | 71 | 66 | 75 | 55 | 50 | 1 | 50 | 68 | 21 | 975,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 70 | 41 | 82 | 71 | 77 | 73 | 72 | 66 | 70 | 65 | 60 | 66 | 66 | 59 | 53 | 1 | 50 | 65 | 24 | 1,200,000$/3yrs | |||
![]() | 0 | LW/RW | 99.00 | 74 | 41 | 80 | 72 | 76 | 74 | 69 | 68 | 41 | 64 | 65 | 64 | 68 | 55 | 50 | 1 | 50 | 65 | 23 | 975,000$/3yrs | |||
![]() | 0 | C/RW | 99.00 | 70 | 40 | 76 | 69 | 78 | 75 | 66 | 67 | 59 | 63 | 65 | 64 | 67 | 52 | 50 | 1 | 50 | 64 | 21 | 886,667$/2yrs | |||
![]() | 0 | C | 99.00 | 53 | 48 | 61 | 71 | 52 | 72 | 71 | 64 | 47 | 67 | 54 | 65 | 63 | 68 | 62 | 1 | 50 | 62 | 33 | 1,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 59 | 43 | 68 | 65 | 64 | 65 | 63 | 63 | 43 | 57 | 58 | 53 | 62 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/2yrs | |||
![]() | 0 | C/LW | 99.00 | 63 | 40 | 68 | 62 | 64 | 58 | 57 | 61 | 54 | 60 | 57 | 59 | 60 | 50 | 50 | 1 | 50 | 58 | 19 | 975,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 64 | 42 | 72 | 58 | 72 | 68 | 66 | 61 | 42 | 56 | 54 | 56 | 57 | 55 | 50 | 1 | 50 | 58 | 27 | 1,200,000$/1yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | C | 100.00 | 58 | 47 | 63 | 65 | 62 | 65 | 64 | 60 | 54 | 53 | 54 | 55 | 59 | 51 | 50 | 1 | 50 | 57 | 23 | 1,500,000$/4yrs | |||
![]() | 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$/4yrs | |||
![]() | 0 | LWD | 99.00 | 66 | 45 | 69 | 73 | 70 | 76 | 74 | 70 | 40 | 63 | 71 | 69 | 71 | 75 | 60 | 1 | 50 | 68 | 32 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 40 | 72 | 69 | 72 | 75 | 62 | 64 | 40 | 61 | 61 | 62 | 65 | 51 | 50 | 1 | 50 | 63 | 21 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 69 | 69 | 72 | 79 | 59 | 64 | 40 | 62 | 59 | 64 | 64 | 51 | 50 | 1 | 50 | 63 | 21 | 975,000$/3yrs | |||
![]() | 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$/4yrs | |||
![]() | 0 | D | 99.00 | 63 | 42 | 71 | 65 | 65 | 63 | 61 | 62 | 40 | 63 | 53 | 67 | 60 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/2yrs | |||
![]() | 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$/4yrs | |||
![]() | 0 | D | 100.00 | 62 | 41 | 66 | 61 | 65 | 62 | 60 | 56 | 40 | 54 | 53 | 64 | 57 | 52 | 50 | 1 | 50 | 59 | 25 | 1,500,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 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$/2yrs | |||
![]() | 0 | RW | 100.00 | 60 | 42 | 70 | 63 | 65 | 63 | 60 | 58 | 41 | 52 | 53 | 54 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 1,000,000$/3yrs | |||
![]() | 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$/3yrs | |||
![]() | 0 | C | 100.00 | 59 | 41 | 71 | 60 | 65 | 61 | 59 | 58 | 53 | 53 | 53 | 51 | 57 | 50 | 50 | 1 | 50 | 55 | 21 | 975,000$/3yrs | |||
![]() | 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$/4yrs | |||
![]() | 0 | D | 100.00 | 56 | 42 | 70 | 65 | 62 | 67 | 65 | 60 | 40 | 54 | 53 | 61 | 59 | 57 | 50 | 1 | 50 | 59 | 28 | 1,100,000$/2yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 58 | 55 | 59 | 70 | 64 | 62 | 59 | 40 | 51 | 51 | 54 | 56 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 70 | 85 | 84 | 78 | 80 | 80 | 77 | 80 | 80 | 78 | 78 | 90 | 83 | 1 | 50 | 73 | 37 | 5,000,000$/4yrs |
![]() | 0 | 99.00 | 69 | 62 | 66 | 75 | 71 | 71 | 73 | 70 | 72 | 69 | 61 | 50 | 50 | 1 | 50 | 64 | 22 | 975,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 30 | 100.00 | 64 | 72 | 71 | 72 | 70 | 70 | 68 | 71 | 71 | 68 | 66 | 86 | 76 | 1 | 50 | 65 | 35 | 3,500,000$/1yrs |
![]() | 0 | 100.00 | 69 | 63 | 65 | 66 | 66 | 65 | 67 | 63 | 66 | 67 | 56 | 53 | 50 | 1 | 50 | 60 | 25 | 1,500,000$/1yrs |
![]() | 0 | 100.00 | 65 | 59 | 61 | 71 | 65 | 62 | 62 | 59 | 63 | 64 | 58 | 52 | 50 | 1 | 50 | 58 | 24 | 1,600,000$/2yrs |
![]() | 0 | 100.00 | 62 | 57 | 57 | 65 | 61 | 59 | 60 | 58 | 61 | 59 | 54 | 50 | 50 | 1 | 50 | 55 | 22 | 975,000$/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 |
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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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jiri Kulich | ![]() | C/RW | 4 | 4 | 2 | 6 | 0 | 0 | 0 | 6 | 20 | 2 | 9 | 20.00% | 1 | 19.31 | 2 | 0 | 2 | 0 | 0 | 0 | 5 | 0 | 0 | 54.32% | 0 | 0 | 1.50 | 1 | 1 | 1.57 | |||
2 | Emil Heineman | ![]() | LW/RW | 4 | 4 | 1 | 5 | 1 | 0 | 0 | 7 | 18 | 5 | 11 | 22.22% | 1 | 18.67 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 1 | 0 | 33.33% | 0 | 1 | 1.25 | 0 | 1 | 1.41 | |||
3 | Conor Geekie | ![]() | C/RW | 4 | 0 | 3 | 3 | 0 | 0 | 0 | 9 | 18 | 8 | 11 | 0.00% | 1 | 18.52 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 40.00% | 0 | 0 | 0.75 | 0 | 0 | 1.01 | |||
4 | T.J. Tynan | ![]() | C | 4 | 2 | 1 | 3 | 4 | 5 | 5 | 9 | 4 | 3 | 4 | 50.00% | 0 | 16.98 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 60.00% | 0 | 0 | 0.75 | 0 | 0 | 0.82 | |||
5 | Cole Schwindt | ![]() | C/RW | 4 | 0 | 3 | 3 | 1 | 0 | 0 | 6 | 9 | 2 | 7 | 0.00% | 2 | 18.90 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 55.56% | 0 | 0 | 0.75 | 0 | 1 | 0.86 | |||
6 | Jacob Melanson | ![]() | RW | 4 | 1 | 1 | 2 | 0 | 0 | 0 | 9 | 12 | 2 | 5 | 8.33% | 2 | 13.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.68 | |||
7 | Tim Gettinger | ![]() | LW | 4 | 0 | 2 | 2 | 1 | 0 | 0 | 4 | 4 | 2 | 2 | 0.00% | 0 | 9.44 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.50 | 0 | 0 | 0.54 | |||
8 | Xavier Bernard | ![]() | D | 4 | 0 | 2 | 2 | 1 | 0 | 0 | 4 | 0 | 1 | 0 | 0.00% | 5 | 14.99 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.49 | |||
9 | Francesco Pinelli | ![]() | C | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 13 | 2 | 5 | 7.69% | 0 | 13.57 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 48.48% | 0 | 0 | 0.25 | 0 | 0 | 0.49 | |||
10 | Topias Vilen | ![]() | D | 4 | 0 | 1 | 1 | -2 | 0 | 0 | 7 | 2 | 2 | 2 | 0.00% | 3 | 24.60 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.10 | |||
11 | Jacob MacDonald | ![]() | LW/D | 4 | 0 | 1 | 1 | -2 | 0 | 0 | 3 | 14 | 4 | 7 | 0.00% | 6 | 24.70 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 1 | 1 | 0.38 | |||
12 | Mason Geertsen | ![]() | LW/D | 4 | 0 | 1 | 1 | 0 | 4 | 0 | 9 | 0 | 4 | 5 | 0.00% | 1 | 13.84 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.08 | |||
13 | Anton Wahlberg | ![]() | C/LW | 4 | 0 | 1 | 1 | -2 | 2 | 0 | 1 | 5 | 2 | 2 | 0.00% | 3 | 18.55 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 0 | 0 | 0.25 | 0 | 0 | 0.03 | |||
14 | Brett Chorske | ![]() | C/LW/RW | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 3 | 7 | 1 | 4 | 14.29% | 0 | 8.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.44 | |||
15 | Sam Rinzel | ![]() | D | 4 | 0 | 1 | 1 | 3 | 2 | 0 | 4 | 4 | 6 | 5 | 0.00% | 1 | 21.23 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.48 | |||
16 | Keean Washkurak | ![]() | C | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 5 | 11 | 2 | 2 | 0.00% | 1 | 8.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 0 | 0 | 0.25 | 0 | 0 | 0.49 | |||
17 | Aaron Ness | ![]() | D | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 1 | 0.00% | 2 | 16.76 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.16 | |||
18 | Elias Petterssen 2 | ![]() | D | 4 | 0 | 0 | 0 | 3 | 8 | 0 | 2 | 4 | 5 | 6 | 0.00% | 1 | 20.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.06 | |||
Team Total or Average | 72 | 13 | 21 | 34 | 11 | 21 | 5 | 93 | 148 | 54 | 88 | 8.78% | 30 | 16.70 | 3 | 4 | 7 | 54 | 0 | 0 | 0 | 60 | 1 | 0 | 52.56% | 215 | 31 | 20 | 0 | 1 | 0.57 | 2 | 4 |
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 | ![]() | 3 | 1 | 1 | 1 | 0.904 | 2.28 | 184 | 2 | 0 | 7 | 73 | 34 | 0 | 0 | 0.250 | 4 | 3 | 1 | 0 | 0 | 0 |
2 | Sebastian Cossa | ![]() | 1 | 0 | 0 | 1 | 0.850 | 3.00 | 60 | 0 | 0 | 3 | 20 | 12 | 0 | 0 | 0.000 | 0 | 1 | 3 | 0 | 0 | 0 |
Team Total or Average | 4 | 1 | 1 | 2 | 0.892 | 2.46 | 244 | 2 | 0 | 10 | 93 | 46 | 0 | 0 | 0.250 | 4 | 4 | 4 | 0 | 0 | 0 |
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$ | RFA | ||||
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 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 6 | 4 | 3 | 0.750 | 10 | 15 | 25 | 0 | 0 | 3 | 7 | 3 | 2 | 79 | 48 | 71 | 29 | 4 | 52 | 14 | 9 | 47 | 7 | 3 | 42.86% | 2 | 1 | 50.00% | 0 | 43 | 92 | 46.74% | 39 | 67 | 58.21% | 31 | 55 | 56.36% | 94 | 54 | 72 | 38 | 78 | 37 | 58.3% | 12.7% | 88.5% | 101.1 | FUN |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 3 | 7 | 3 | 2 | 39 | 48 | 71 | 29 | 4 | 21 | 7 | 12 | 21 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 43 | 92 | 46.74% | 39 | 67 | 58.21% | 31 | 55 | 56.36% | 94 | 54 | 72 | 38 | 78 | 37 | 50.0% | 2.6% | 90.5% | 93.0 | Unlucky |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 3 | 7 | 3 | 2 | 30 | 48 | 71 | 29 | 4 | 20 | 9 | 2 | 25 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 43 | 92 | 46.74% | 39 | 67 | 58.21% | 31 | 55 | 56.36% | 94 | 54 | 72 | 38 | 78 | 37 | 40.0% | 6.7% | 85.0% | 91.7 | Unlucky |
_Vs Division | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | -2 | 4 | 1.000 | 3 | 6 | 9 | 0 | 0 | 3 | 7 | 3 | 2 | 69 | 48 | 71 | 29 | 4 | 41 | 16 | 14 | 46 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 43 | 92 | 46.74% | 39 | 67 | 58.21% | 31 | 55 | 56.36% | 94 | 54 | 72 | 38 | 78 | 37 | 42.9% | 4.3% | 87.8% | 92.2 | Unlucky | |
_Vs Conference | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 13 | 11 | 2 | 4 | 0.500 | 13 | 21 | 34 | 0 | 0 | 3 | 7 | 3 | 2 | 148 | 48 | 71 | 29 | 4 | 93 | 30 | 23 | 93 | 9 | 3 | 33.33% | 9 | 2 | 77.78% | 0 | 43 | 92 | 46.74% | 39 | 67 | 58.21% | 31 | 55 | 56.36% | 94 | 54 | 72 | 38 | 78 | 37 | 52.6% | 8.8% | 88.2% | 97.0 | Unlucky | |
_Since Last GM Reset | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 13 | 11 | 2 | 4 | 0.500 | 13 | 21 | 34 | 0 | 0 | 3 | 7 | 3 | 2 | 148 | 48 | 71 | 29 | 4 | 93 | 30 | 23 | 93 | 9 | 3 | 33.33% | 9 | 2 | 77.78% | 0 | 43 | 92 | 46.74% | 39 | 67 | 58.21% | 31 | 55 | 56.36% | 94 | 54 | 72 | 38 | 78 | 37 | 52.6% | 8.8% | 88.2% | 97.0 | Unlucky | |
Total | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 13 | 11 | 2 | 4 | 0.500 | 13 | 21 | 34 | 0 | 0 | 3 | 7 | 3 | 2 | 148 | 48 | 71 | 29 | 4 | 93 | 30 | 23 | 93 | 9 | 3 | 33.33% | 9 | 2 | 77.78% | 0 | 43 | 92 | 46.74% | 39 | 67 | 58.21% | 31 | 55 | 56.36% | 94 | 54 | 72 | 38 | 78 | 37 | 52.6% | 8.8% | 88.2% | 97.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 19 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 92 |
Neutral Zone Start | 55 |
Defensive Zone Start | 67 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 28 |
Faceoffs | |
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Faceoffs Won | 113 |
Faceoffs Lost | 101 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.0 | 9.57 |
2nd Period | 29.8 | 20.31 |
3rd Period | 37.0 | 30.68 |
Overtime | 38.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 10 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 0 | 1 |
Overtime Lost | 1 | 1 |
PP Attempt | 9 |
---|---|
PP Goal | 3 |
PK Attempt | 9 |
PK Goal Against | 2 |
Home | |
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Shots For | 37.0 |
Shots Against | 23.3 |
Goals For | 3.3 |
Goals Against | 2.8 |
Hits | 23.3 |
Shots Blocked | 7.5 |
Pim | 5.8 |
Date | Matchup | Result | Detail | |||||||||||
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Thu, Oct 9 | ![]() | @ | ![]() | WPG1,DET6 | RECAP | |||||||||
Fri, Oct 10 | ![]() | @ | ![]() | DET1,S J2 | RECAP | |||||||||
Mon, Oct 13 | ![]() | @ | ![]() | DET4,WPG5 (SO) | RECAP | |||||||||
Wed, Oct 15 | ![]() | @ | ![]() | CHI3,DET2 (OT) | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Mar 11 | ![]() | @ | ![]() | |||||||||||
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Mon, Mar 23 | ![]() | @ | ![]() |
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 |
39 | 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 |
---|---|---|---|
232,896$ | 0$ | 204,496$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 29,112$ | 4,687,032$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
4,687,032$ | 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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