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Full Scoreboard »» |
Hershey Bears 1-0-0, 2pts · 5th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 92 | RW | 99.00 | 59 | 33 | 89 | 66 | 76 | 81 | 70 | 66 | 61 | 59 | 76 | 55 | 71 | 70 | 69 | 0 | 81 | 75 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 65 | 33 | 88 | 61 | 83 | 78 | 81 | 60 | 78 | 64 | 62 | 64 | 61 | 68 | 67 | 0 | 79 | 73 | 26 | 1,250,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 75 | 42 | 67 | 57 | 87 | 67 | 71 | 64 | 48 | 58 | 58 | 67 | 58 | 68 | 65 | 0 | 76 | 71 | 25 | 950,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 33 | 95 | 58 | 76 | 73 | 71 | 60 | 59 | 59 | 62 | 55 | 61 | 66 | 65 | 0 | 52 | 70 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 80 | 42 | 58 | 53 | 82 | 65 | 67 | 64 | 36 | 55 | 53 | 68 | 54 | 68 | 64 | 0 | 84 | 69 | 26 | 800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 39 | 77 | 56 | 70 | 65 | 67 | 62 | 49 | 55 | 57 | 65 | 56 | 64 | 62 | 0 | 82 | 69 | 23 | 862,500$/1yrs | |||
![]() | 0 | RW | 100.00 | 64 | 39 | 84 | 59 | 74 | 65 | 71 | 59 | 41 | 58 | 58 | 62 | 58 | 59 | 58 | 0 | 83 | 69 | 21 | 918,333$/2yrs | |||
![]() | 0 | RW | 99.00 | 62 | 39 | 88 | 54 | 75 | 64 | 67 | 63 | 39 | 56 | 53 | 67 | 54 | 66 | 65 | 0 | 82 | 68 | 24 | 900,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 72 | 41 | 71 | 53 | 85 | 64 | 67 | 63 | 37 | 53 | 54 | 67 | 53 | 66 | 63 | 0 | 27 | 68 | 24 | 870,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 32 | 92 | 62 | 74 | 72 | 71 | 54 | 72 | 56 | 63 | 51 | 58 | 62 | 61 | 0 | 41 | 68 | 22 | 845,000$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 69 | 46 | 83 | 55 | 76 | 70 | 68 | 53 | 75 | 65 | 50 | 49 | 51 | 70 | 68 | 0 | 79 | 67 | 27 | 850,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 38 | 89 | 54 | 71 | 63 | 67 | 62 | 42 | 49 | 59 | 66 | 54 | 64 | 63 | 0 | 73 | 67 | 25 | 870,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 33 | 89 | 57 | 78 | 86 | 90 | 57 | 30 | 63 | 58 | 67 | 58 | 77 | 76 | 0 | 82 | 74 | 31 | 1,850,000$/1yrs | |||
![]() | 6 | D | 99.00 | 63 | 33 | 86 | 59 | 77 | 84 | 77 | 56 | 30 | 66 | 59 | 57 | 58 | 78 | 77 | 0 | 64 | 74 | 31 | 1,200,000$/2yrs | |||
![]() | 0 | D | 99.00 | 66 | 34 | 88 | 55 | 88 | 79 | 84 | 57 | 30 | 61 | 54 | 65 | 56 | 90 | 88 | 0 | 81 | 73 | 38 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 34 | 95 | 55 | 86 | 79 | 72 | 52 | 30 | 54 | 54 | 65 | 53 | 67 | 66 | 0 | 70 | 69 | 25 | 825,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 41 | 65 | 50 | 83 | 65 | 68 | 50 | 30 | 55 | 55 | 68 | 55 | 68 | 65 | 0 | 83 | 68 | 26 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 40 | 84 | 52 | 83 | 65 | 68 | 51 | 30 | 58 | 54 | 66 | 56 | 65 | 63 | 0 | 84 | 68 | 24 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 38 | 91 | 50 | 76 | 64 | 67 | 49 | 30 | 56 | 52 | 66 | 54 | 64 | 63 | 0 | 27 | 67 | 23 | 900,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 87.94 | 82 | 34 | 90 | 63 | 90 | 72 | 69 | 62 | 59 | 60 | 66 | 62 | 64 | 71 | 70 | 0 | 60 | 74 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 49 | 60 | 61 | 83 | 78 | 75 | 60 | 61 | 62 | 64 | 55 | 62 | 67 | 63 | 0 | 23 | 72 | 26 | 800,000$/1yrs | |||
![]() | 51 | LW | 100.00 | 68 | 40 | 77 | 52 | 77 | 65 | 67 | 66 | 44 | 53 | 54 | 70 | 54 | 71 | 69 | 0 | 24 | 69 | 27 | ||||
![]() | 0 | LW | 100.00 | 62 | 38 | 88 | 52 | 69 | 62 | 65 | 63 | 42 | 53 | 52 | 66 | 52 | 64 | 63 | 0 | 24 | 67 | 24 | 841,667$/1yrs | |||
![]() | 0 | RW | 100.00 | 76 | 41 | 64 | 55 | 74 | 63 | 68 | 60 | 40 | 53 | 55 | 64 | 54 | 61 | 57 | 0 | 53 | 67 | 22 | 863,333$/2yrs | |||
![]() | 0 | LW | 100.00 | 62 | 38 | 88 | 52 | 70 | 63 | 65 | 63 | 39 | 54 | 51 | 67 | 52 | 66 | 65 | 0 | 23 | 67 | 25 | 950,000$/1yrs | |||
![]() | 0 | C | 100.00 | 56 | 37 | 92 | 63 | 64 | 68 | 60 | 61 | 67 | 56 | 52 | 61 | 62 | 58 | 57 | 0 | 70 | 67 | 22 | 825,000$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 38 | 86 | 52 | 71 | 61 | 66 | 62 | 65 | 45 | 57 | 65 | 51 | 62 | 61 | 0 | 24 | 66 | 25 | ||||
![]() | 0 | LW | 100.00 | 75 | 42 | 66 | 51 | 88 | 61 | 65 | 62 | 36 | 50 | 51 | 65 | 51 | 62 | 59 | 0 | 44 | 66 | 23 | ||||
![]() | 13 | D | 100.00 | 57 | 39 | 96 | 57 | 83 | 60 | 60 | 55 | 30 | 51 | 49 | 64 | 58 | 61 | 63 | 0 | 24 | 67 | 25 | ||||
![]() | 0 | D | 100.00 | 67 | 39 | 79 | 49 | 75 | 64 | 66 | 48 | 30 | 55 | 52 | 67 | 53 | 66 | 64 | 0 | 24 | 67 | 24 | 870,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 39 | 85 | 49 | 77 | 63 | 66 | 49 | 30 | 55 | 52 | 66 | 54 | 64 | 63 | 0 | 24 | 66 | 24 | 846,667$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 40 | 80 | 48 | 83 | 63 | 65 | 47 | 30 | 53 | 51 | 67 | 52 | 66 | 64 | 0 | 24 | 66 | 25 | 910,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 39 | 83 | 49 | 72 | 61 | 72 | 46 | 30 | 54 | 46 | 67 | 50 | 66 | 64 | 0 | 24 | 65 | 27 |
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 | 98.00 | 70 | 65 | 67 | 74 | 76 | 69 | 77 | 83 | 79 | 81 | 77 | 63 | 67 | 0 | 68 | 78 | 22 | 925,000$/1yrs |
![]() | 0 | 100.00 | 74 | 62 | 70 | 78 | 71 | 75 | 73 | 74 | 75 | 76 | 74 | 60 | 59 | 0 | 52 | 76 | 21 | 858,333$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 29 | 100.00 | 71 | 62 | 70 | 78 | 71 | 75 | 74 | 71 | 75 | 73 | 74 | 71 | 70 | 0 | 55 | 76 | 26 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Tippett | 76 | 80 | 84 | 82 | 91 | 84 | 55 | CAN | 63 | 3 | 1,000,000$ |
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 | Corey Andonovski | RW | 1 | 1 | 0 | 1 | 1 | 4 | 0 | 5 | 3 | 1 | 5 | 33.33% | 0 | 22.62 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | ||
2 | Noel Gunler | LW/RW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 1 | 3 | 0.00% | 0 | 18.45 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | ||
3 | Joakim Kemell | RW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 17.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 1.16 | 0 | 0 | ||
4 | Alexander Alexeyev | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 1 | 0 | 0.00% | 3 | 23.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
5 | Alexander Nylander | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | 0.00% | 2 | 27.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 36.11% | 36 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
6 | Brett Kulak | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 0.00% | 1 | 22.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
7 | Jack Johnson | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 1 | 1 | 0 | 0.00% | 1 | 27.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Martin Kaut | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0.00% | 1 | 21.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Mike Reilly | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 27.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Cody Glass | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 0 | 0.00% | 0 | 22.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Mathias Laferriere | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 0 | 24.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 45.45% | 22 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Ronnie Attard | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 2 | 20.97 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Pavol Regenda | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 2 | 1 | 0.00% | 1 | 22.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Maxence Guenette | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 2 | 21.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Cole McWard | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Ondrej Pavel | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Ivan Ivan | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Juha Jaaska | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 0 | 24.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Sam Morton | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0.00% | 0 | 6.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 19 | 1 | 2 | 3 | 5 | 6 | 0 | 33 | 27 | 9 | 16 | 3.70% | 13 | 18.55 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 23 | 1 | 0 | 38.10% | 84 | 0 | 0 | 0 | 0 | 0.17 | 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 | Yaroslav Askarov | 1 | 1 | 0 | 0 | 1.000 | 0.00 | 71 | 0 | 1 | 0 | 42 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 | |
Team Total or Average | 1 | 1 | 0 | 0 | 1.000 | 0.00 | 71 | 0 | 1 | 0 | 42 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Alexeyev | D | 25 | 825,000$ | 825,000$ | |||||||
Alexander Nylander | RW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Anton Malmstrom | D | 25 | 910,000$ | 910,000$ | |||||||
Austin Wagner | LW | 27 | 0$ | UFA | |||||||
Blake McLaughlin | LW | 25 | 950,000$ | 950,000$ | |||||||
Brett Kulak | D | 31 | 1,850,000$ | 1,850,000$ | UFA | ||||||
Carson Bantle | LW | 23 | 0$ | RFA | |||||||
Carson Focht | C | 25 | 0$ | ||||||||
Chase Stillman | RW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Cody Glass | C/RW | 26 | 1,250,000$ | 1,250,000$ | |||||||
Cole McWard | D | 23 | 900,000$ | 900,000$ | RFA | ||||||
Colin Swoyer | D | 27 | 0$ | UFA | |||||||
Corey Andonovski | RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Dmitri Semykin | D | 25 | 0$ | ||||||||
Dom DiVincentiis | G | 21 | 858,333$ | 858,333$ | 858,333$ | RFA | |||||
Filip Larsson | G | 26 | 775,000$ | 775,000$ | |||||||
Ivan Ivan | C | 22 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Jack Johnson | D | 38 | 800,000$ | 800,000$ | UFA | ||||||
Jaydon Dureau | LW | 24 | 841,667$ | 841,667$ | |||||||
Joakim Kemell | RW | 21 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Juha Jaaska | LW/RW | 27 | 850,000$ | 850,000$ | UFA | ||||||
Julien Gauthier | RW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Justin Robidas | C | 22 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Luke Krys | D | 24 | 870,000$ | 870,000$ | |||||||
Martin Kaut | C/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Mathias Laferriere | RW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Max Comtois | C/LW | 26 | 800,000$ | 800,000$ | |||||||
Maxence Guenette | D | 24 | 800,000$ | 800,000$ | |||||||
Mike Reilly | D | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Mikko Kokkonen | D | 24 | 846,667$ | 846,667$ | |||||||
Noel Gunler | LW/RW | 23 | 862,500$ | 862,500$ | RFA | ||||||
Ondrej Pavel | C/LW/RW | 24 | 870,000$ | 870,000$ | |||||||
Pavol Regenda | LW/RW | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
Ronnie Attard | D | 26 | 850,000$ | 850,000$ | |||||||
Sam Morton | LW | 25 | 870,000$ | 870,000$ | |||||||
Yaroslav Askarov | G | 22 | 925,000$ | 925,000$ | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 27 | 4 | 5 | 9 | 9 | 42 | 13 | 6 | 33 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 8 | 28 | 28.57% | 18 | 42 | 42.86% | 6 | 14 | 42.86% | 23 | 14 | 31 | 9 | 17 | 7 | 100.0% | 3.7% | 100.0% | 103.7 | DULL | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 27 | 4 | 5 | 9 | 9 | 42 | 13 | 6 | 33 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 8 | 28 | 28.57% | 18 | 42 | 42.86% | 6 | 14 | 42.86% | 23 | 14 | 31 | 9 | 17 | 7 | 100.0% | 3.7% | 100.0% | 103.7 | DULL | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 27 | 4 | 5 | 9 | 9 | 42 | 13 | 6 | 33 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 8 | 28 | 28.57% | 18 | 42 | 42.86% | 6 | 14 | 42.86% | 23 | 14 | 31 | 9 | 17 | 7 | 100.0% | 3.7% | 100.0% | 103.7 | DULL | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 27 | 4 | 5 | 9 | 9 | 42 | 13 | 6 | 33 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 8 | 28 | 28.57% | 18 | 42 | 42.86% | 6 | 14 | 42.86% | 23 | 14 | 31 | 9 | 17 | 7 | 100.0% | 3.7% | 100.0% | 103.7 | DULL |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 17 |
Defensive Zone | 31 |
Puck Time | |
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Offensive Zone Start | 28 |
Neutral Zone Start | 14 |
Defensive Zone Start | 42 |
Puck Time | |
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With Puck | 32 |
Without Puck | 39 |
Faceoffs | |
---|---|
Faceoffs Won | 32 |
Faceoffs Lost | 52 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.0 | 9.57 |
2nd Period | 9.0 | 20.31 |
3rd Period | 18.0 | 30.68 |
Overtime | 27.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 1 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 1 |
---|---|
PP Goal | 0 |
PK Attempt | 3 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 27.0 |
Shots Against | 42.0 |
Goals For | 1.0 |
Goals Against | 0.0 |
Hits | 33.0 |
Shots Blocked | 13.0 |
Pim | 6.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-01 | @ | Bears1,Phantoms0 (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 |
2,700,583$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Hershey | |
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 |
2,700,583$ | 2,700,583$ | 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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