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Full Scoreboard »» |
Hershey Bears 17-4-1, 35pts · 1st 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 | C/RW | 98.00 | 67 | 33 | 91 | 71 | 83 | 79 | 78 | 71 | 81 | 74 | 71 | 66 | 71 | 66 | 65 | 0 | 47 | 80 | 24 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW | 98.00 | 76 | 46 | 64 | 68 | 83 | 79 | 83 | 66 | 61 | 69 | 68 | 63 | 67 | 66 | 62 | 0 | 63 | 77 | 24 | 1,250,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 97 | 42 | 50 | 71 | 71 | 72 | 67 | 67 | 41 | 70 | 71 | 55 | 70 | 56 | 61 | 0 | 62 | 77 | 19 | 918,333$/3yrs | |||
![]() | 51 | LW | 98.00 | 98 | 42 | 54 | 62 | 77 | 72 | 78 | 63 | 41 | 61 | 66 | 67 | 64 | 68 | 73 | 0 | 60 | 76 | 26 | 1,100,000$/1yrs | |||
![]() | 92 | RW | 100.00 | 59 | 38 | 94 | 67 | 76 | 74 | 86 | 66 | 38 | 67 | 69 | 64 | 68 | 67 | 67 | 0 | 63 | 76 | 25 | 775,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 66 | 37 | 88 | 66 | 76 | 73 | 76 | 65 | 52 | 66 | 67 | 62 | 67 | 65 | 66 | 0 | 63 | 75 | 24 | 1,000,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 59 | 39 | 88 | 66 | 77 | 73 | 87 | 66 | 36 | 63 | 70 | 66 | 66 | 63 | 62 | 0 | 63 | 75 | 24 | 870,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 85 | 41 | 63 | 64 | 87 | 71 | 72 | 62 | 55 | 64 | 65 | 64 | 64 | 65 | 68 | 0 | 63 | 74 | 24 | 855,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 85 | 41 | 64 | 61 | 77 | 68 | 76 | 59 | 41 | 62 | 61 | 63 | 61 | 65 | 68 | 0 | 63 | 73 | 24 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 62 | 38 | 90 | 61 | 73 | 68 | 83 | 60 | 67 | 63 | 60 | 64 | 61 | 63 | 64 | 0 | 63 | 72 | 23 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 87 | 41 | 56 | 65 | 72 | 68 | 90 | 61 | 49 | 64 | 63 | 59 | 63 | 58 | 53 | 0 | 56 | 72 | 20 | 863,333$/3yrs | |||
![]() | 0 | LW | 100.00 | 59 | 37 | 94 | 59 | 68 | 66 | 67 | 55 | 46 | 58 | 58 | 63 | 58 | 61 | 62 | 0 | 47 | 69 | 22 | 841,667$/2yrs | |||
![]() | 0 | D | 98.00 | 72 | 37 | 84 | 55 | 88 | 85 | 90 | 63 | 30 | 63 | 57 | 78 | 60 | 87 | 85 | 0 | 60 | 78 | 36 | 800,000$/2yrs | |||
![]() | 0 | D | 98.00 | 69 | 33 | 88 | 67 | 77 | 81 | 76 | 63 | 30 | 71 | 64 | 65 | 64 | 67 | 66 | 0 | 63 | 78 | 25 | 1,125,000$/2yrs | |||
![]() | 82 | D | 99.00 | 64 | 35 | 91 | 59 | 73 | 83 | 80 | 62 | 30 | 68 | 60 | 68 | 61 | 77 | 76 | 0 | 63 | 76 | 31 | 800,000$/2yrs | |||
![]() | 0 | D | 99.00 | 72 | 39 | 80 | 61 | 83 | 74 | 75 | 60 | 30 | 65 | 64 | 69 | 64 | 65 | 66 | 0 | 66 | 76 | 24 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 38 | 86 | 60 | 72 | 68 | 71 | 59 | 30 | 65 | 55 | 67 | 60 | 66 | 68 | 0 | 63 | 74 | 25 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 38 | 89 | 64 | 75 | 70 | 76 | 59 | 30 | 66 | 63 | 63 | 65 | 56 | 57 | 0 | 54 | 74 | 19 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 59 | 33 | 87 | 67 | 80 | 79 | 76 | 69 | 80 | 71 | 72 | 83 | 71 | 91 | 90 | 0 | 20 | 83 | 39 | 1,300,000$/1yrs | |||
![]() | 0 | C/LW/RW | 60.27 | 75 | 39 | 82 | 60 | 78 | 76 | 77 | 63 | 79 | 67 | 64 | 78 | 64 | 80 | 79 | 0 | 19 | 78 | 32 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 74 | 41 | 70 | 62 | 79 | 68 | 83 | 59 | 69 | 62 | 61 | 64 | 62 | 61 | 58 | 0 | 26 | 72 | 23 | 870,000$/2yrs | |||
![]() | 0 | C | 100.00 | 68 | 39 | 77 | 60 | 71 | 62 | 67 | 57 | 65 | 62 | 56 | 66 | 59 | 61 | 59 | 0 | 26 | 70 | 23 | 825,000$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 39 | 90 | 55 | 79 | 64 | 71 | 58 | 67 | 50 | 61 | 63 | 55 | 64 | 65 | 0 | 21 | 69 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 40 | 71 | 61 | 73 | 71 | 84 | 59 | 30 | 65 | 60 | 67 | 62 | 65 | 62 | 0 | 20 | 74 | 25 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 40 | 75 | 59 | 78 | 64 | 71 | 56 | 30 | 61 | 50 | 64 | 56 | 61 | 63 | 0 | 20 | 71 | 22 | 846,667$/2yrs | |||
![]() | 13 | D | 100.00 | 57 | 39 | 96 | 57 | 83 | 60 | 67 | 55 | 30 | 59 | 57 | 64 | 58 | 61 | 63 | 0 | 20 | 70 | 23 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 40 | 67 | 58 | 76 | 64 | 85 | 54 | 30 | 59 | 56 | 61 | 57 | 56 | 52 | 0 | 20 | 70 | 20 | 846,667$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 40 | 83 | 54 | 84 | 64 | 83 | 52 | 30 | 56 | 56 | 63 | 56 | 61 | 59 | 0 | 20 | 68 | 23 | 910,000$/2yrs | |||
![]() | 0 | D | 100.00 | 68 | 33 | 99 | 60 | 76 | 79 | 66 | 50 | 30 | 50 | 75 | 60 | 62 | 61 | 61 | 0 | 20 | 68 | 22 | 922,500$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 69 | 68 | 69 | 84 | 74 | 72 | 76 | 85 | 71 | 87 | 76 | 62 | 66 | 0 | 63 | 79 | 22 | 850,833$/1yrs |
![]() | 0 | 100.00 | 74 | 58 | 71 | 73 | 75 | 76 | 73 | 74 | 76 | 77 | 74 | 60 | 64 | 0 | 45 | 76 | 21 | 925,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 75 | 66 | 67 | 76 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 64 | 71 | 0 | 46 | 77 | 25 | 775,000$/1yrs |
![]() | 0 | 100.00 | 73 | 79 | 69 | 74 | 70 | 72 | 72 | 73 | 72 | 74 | 72 | 57 | 59 | 0 | 29 | 76 | 19 | 858,333$/3yrs |
![]() | 0 | 100.00 | 71 | 80 | 66 | 74 | 65 | 69 | 69 | 71 | 69 | 71 | 70 | 55 | 56 | 0 | 29 | 74 | 19 | 798,333$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Lowry | 81 | 74 | 88 | 88 | 75 | 70 | 74 | CAN | 55 | 2 | 500,000$ |
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 | Joakim Kemell | RW | 22 | 10 | 12 | 22 | 14 | 28 | 0 | 66 | 60 | 16 | 47 | 16.67% | 5 | 21.26 | 1 | 2 | 3 | 61 | 0 | 0 | 0 | 58 | 1 | 0 | 41.98% | 81 | 0 | 0 | 0 | 0 | 0.94 | 0 | 1 | ||
2 | Austin Wagner | LW | 22 | 7 | 14 | 21 | 12 | 22 | 10 | 54 | 57 | 17 | 37 | 12.28% | 4 | 19.54 | 2 | 6 | 8 | 57 | 0 | 0 | 0 | 46 | 0 | 1 | 53.49% | 43 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | ||
3 | Martin Kaut | C/RW | 22 | 7 | 12 | 19 | 12 | 4 | 0 | 7 | 43 | 17 | 46 | 16.28% | 2 | 16.47 | 2 | 5 | 7 | 50 | 0 | 0 | 0 | 8 | 0 | 1 | 48.15% | 432 | 0 | 0 | 0 | 0 | 1.05 | 0 | 0 | ||
4 | Nick Perbix | D | 22 | 8 | 10 | 18 | 11 | 24 | 0 | 49 | 45 | 13 | 22 | 17.78% | 26 | 24.62 | 3 | 4 | 7 | 67 | 0 | 0 | 0 | 64 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
5 | Jordan Oesterle | D | 22 | 4 | 13 | 17 | 15 | 14 | 0 | 34 | 26 | 5 | 21 | 15.38% | 25 | 24.18 | 1 | 5 | 6 | 67 | 0 | 0 | 0 | 72 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
6 | Alexander Nylander | RW | 22 | 9 | 7 | 16 | 9 | 6 | 0 | 2 | 74 | 15 | 50 | 12.16% | 4 | 16.66 | 5 | 1 | 6 | 45 | 0 | 0 | 0 | 14 | 3 | 0 | 38.89% | 54 | 0 | 0 | 0 | 0 | 0.87 | 1 | 1 | ||
7 | Max Comtois | C/LW | 22 | 12 | 4 | 16 | 10 | 6 | 0 | 40 | 65 | 14 | 69 | 18.46% | 4 | 20.39 | 4 | 1 | 5 | 63 | 0 | 0 | 0 | 58 | 4 | 0 | 51.46% | 342 | 0 | 0 | 0 | 1 | 0.71 | 0 | 1 | ||
8 | Jack Johnson | D | 22 | 3 | 12 | 15 | 14 | 22 | 0 | 45 | 34 | 11 | 13 | 8.82% | 34 | 18.84 | 1 | 2 | 3 | 38 | 0 | 1 | 1 | 46 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
9 | Ronnie Attard | D | 22 | 1 | 13 | 14 | 7 | 15 | 5 | 33 | 23 | 12 | 15 | 4.35% | 41 | 20.76 | 1 | 3 | 4 | 53 | 0 | 1 | 1 | 66 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
10 | Pavol Regenda | LW/RW | 22 | 2 | 10 | 12 | 10 | 16 | 0 | 57 | 36 | 8 | 28 | 5.56% | 1 | 14.51 | 0 | 0 | 0 | 12 | 1 | 0 | 1 | 35 | 1 | 0 | 54.17% | 48 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
11 | Jason Polin | RW | 22 | 5 | 4 | 9 | 7 | 0 | 0 | 1 | 42 | 13 | 28 | 11.90% | 5 | 11.06 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 41.18% | 51 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
12 | Colin Swoyer | D | 22 | 1 | 5 | 6 | 11 | 12 | 0 | 20 | 10 | 1 | 10 | 10.00% | 15 | 14.70 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
13 | Simon Nemec | D | 21 | 0 | 5 | 5 | 0 | 14 | 0 | 13 | 14 | 1 | 4 | 0.00% | 14 | 12.83 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
14 | Cody Glass | C/RW | 4 | 0 | 4 | 4 | -1 | 0 | 0 | 0 | 12 | 6 | 9 | 0.00% | 1 | 22.39 | 0 | 3 | 3 | 11 | 0 | 0 | 0 | 12 | 0 | 0 | 57.36% | 129 | 0 | 0 | 0 | 0 | 0.89 | 1 | 1 | ||
15 | Mathias Laferriere | RW | 22 | 2 | 2 | 4 | -3 | 0 | 0 | 0 | 14 | 2 | 4 | 14.29% | 0 | 7.14 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 1 | 0 | 40.74% | 27 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
16 | Carson Focht | C | 5 | 0 | 3 | 3 | 6 | 0 | 0 | 1 | 13 | 6 | 7 | 0.00% | 1 | 19.00 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 19 | 0 | 0 | 54.67% | 150 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
17 | Corey Andonovski | RW | 22 | 1 | 1 | 2 | -2 | 2 | 0 | 37 | 20 | 4 | 11 | 5.00% | 1 | 5.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
18 | Chase Stillman | RW | 15 | 1 | 1 | 2 | 2 | 2 | 0 | 12 | 6 | 4 | 2 | 16.67% | 0 | 4.89 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
19 | Jaydon Dureau | LW | 15 | 1 | 0 | 1 | 4 | 0 | 0 | 9 | 14 | 2 | 7 | 7.14% | 1 | 14.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 18.18% | 11 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | ||
20 | Ryan Carpenter | C/LW/RW | 5 | 0 | 0 | 0 | -2 | 2 | 0 | 0 | 13 | 2 | 6 | 0.00% | 1 | 10.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 58.23% | 79 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Ondrej Pavel | C/LW/RW | 5 | 0 | 0 | 0 | -2 | 2 | 0 | 1 | 6 | 2 | 4 | 0.00% | 0 | 6.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 40 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
22 | Filip Engaras | C | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 0.00% | 0 | 11.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 379 | 74 | 132 | 206 | 135 | 191 | 15 | 481 | 629 | 172 | 440 | 11.76% | 185 | 15.90 | 20 | 33 | 53 | 569 | 1 | 2 | 3 | 538 | 15 | 3 | 49.70% | 1509 | 0 | 0 | 0 | 1 | 0.68 | 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 | Nico Daws | 11 | 9 | 1 | 0 | 0.946 | 1.68 | 644 | 4 | 1 | 18 | 331 | 0 | 0 | 0 | 0.750 | 4 | 10 | 10 | 3 | 0 | 1 | |
2 | Yaroslav Askarov | 10 | 7 | 2 | 1 | 0.910 | 2.66 | 563 | 0 | 0 | 25 | 278 | 0 | 0 | 0 | 0.000 | 0 | 10 | 4 | 2 | 0 | 0 | |
3 | Matthew Murray | 2 | 1 | 1 | 0 | 0.913 | 3.53 | 119 | 0 | 0 | 7 | 80 | 0 | 0 | 0 | 0.000 | 0 | 2 | 8 | 0 | 0 | 0 | |
Team Total or Average | 23 | 17 | 4 | 1 | 0.927 | 2.26 | 1328 | 4 | 1 | 50 | 689 | 0 | 0 | 0 | 0.750 | 4 | 22 | 22 | 5 | 0 | 1 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Nylander | RW | 25 | 775,000$ | 775,000$ | |||||||
Anton Malmstrom | D | 23 | 910,000$ | 910,000$ | 910,000$ | ||||||
Austin Wagner | LW | 26 | 1,100,000$ | 1,100,000$ | |||||||
Carson Focht | C | 23 | 825,000$ | 825,000$ | RFA | ||||||
Chase Stillman | RW | 20 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Cody Glass | C/RW | 24 | 1,000,000$ | 1,000,000$ | |||||||
Cole McWard | D | 22 | 922,500$ | 922,500$ | RFA | ||||||
Colin Swoyer | D | 25 | 850,000$ | 850,000$ | |||||||
Corey Andonovski | RW | 24 | 925,000$ | 925,000$ | |||||||
Dmitri Semykin | D | 23 | 850,000$ | 850,000$ | RFA | ||||||
Dom DiVincentiis | G | 19 | 858,333$ | 858,333$ | 858,333$ | 858,333$ | RFA | ||||
Eric Staal | C | 39 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Filip Engaras | C | 24 | 775,000$ | 775,000$ | |||||||
Jack Johnson | D | 36 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Jason Polin | RW | 24 | 870,000$ | 870,000$ | |||||||
Jaydon Dureau | LW | 22 | 841,667$ | 841,667$ | 841,667$ | RFA | |||||
Joakim Kemell | RW | 19 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Jordan Oesterle | D | 31 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Martin Kaut | C/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Mathias Laferriere | RW | 23 | 775,000$ | 775,000$ | RFA | ||||||
Matthew Murray | G | 25 | 775,000$ | 775,000$ | |||||||
Max Comtois | C/LW | 24 | 1,250,000$ | 1,250,000$ | |||||||
Maximus Wanner | D | 20 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Mikko Kokkonen | D | 22 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Nick Perbix | D | 25 | 1,125,000$ | 1,125,000$ | 1,125,000$ | ||||||
Nico Daws | G | 22 | 850,833$ | 850,833$ | RFA | ||||||
Nolan Lalonde | G | 19 | 798,333$ | 798,333$ | 798,333$ | RFA | |||||
Ondrej Pavel | C/LW/RW | 23 | 870,000$ | 870,000$ | 870,000$ | ||||||
Pavol Regenda | LW/RW | 24 | 855,000$ | 855,000$ | |||||||
Ronnie Attard | D | 24 | 900,000$ | 900,000$ | |||||||
Ryan Carpenter | C/LW/RW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Sam Malinski | D | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Simon Nemec | D | 19 | 775,000$ | 775,000$ | RFA | ||||||
Yaroslav Askarov | G | 21 | 925,000$ | 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 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 32 | 24 | 23 | 4 | 77 | 208 | 237 | 217 | 10 | 103 | 26 | 43 | 75 | 13 | 4 | 30.77% | 18 | 8 | 55.56% | 0 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 85.7% | 13.0% | 91.3% | 104.2 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 2 | 1.000 | 9 | 18 | 27 | 0 | 0 | 32 | 24 | 23 | 4 | 65 | 208 | 237 | 217 | 10 | 20 | 10 | 15 | 28 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 100.0% | 13.8% | 95.0% | 108.8 | LUCKY | |
3 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 16 | 13 | 3 | 5 | 0.625 | 16 | 29 | 45 | 0 | 0 | 32 | 24 | 23 | 4 | 115 | 208 | 237 | 217 | 10 | 130 | 32 | 32 | 94 | 11 | 4 | 36.36% | 16 | 2 | 87.50% | 0 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 52.2% | 13.9% | 90.0% | 103.9 | FUN | |
4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 32 | 24 | 23 | 4 | 72 | 208 | 237 | 217 | 10 | 70 | 22 | 12 | 47 | 11 | 1 | 9.09% | 6 | 1 | 83.33% | 0 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 66.7% | 9.7% | 94.3% | 104.0 | LUCKY | |
5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 32 | 24 | 23 | 4 | 28 | 208 | 237 | 217 | 10 | 37 | 7 | 13 | 27 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 60.0% | 10.7% | 94.6% | 105.3 | LUCKY | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 32 | 24 | 23 | 4 | 48 | 208 | 237 | 217 | 10 | 68 | 23 | 24 | 35 | 6 | 2 | 33.33% | 11 | 1 | 90.91% | 0 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 66.7% | 12.5% | 95.6% | 108.1 | LUCKY | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 32 | 24 | 23 | 4 | 55 | 208 | 237 | 217 | 10 | 51 | 18 | 8 | 55 | 9 | 3 | 33.33% | 4 | 1 | 75.00% | 0 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 100.0% | 10.9% | 98.0% | 108.9 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 1.000 | 8 | 13 | 21 | 0 | 0 | 32 | 24 | 23 | 4 | 53 | 208 | 237 | 217 | 10 | 42 | 9 | 4 | 28 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 60.0% | 15.1% | 90.5% | 105.6 | FUN | |
9 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 13 | 4 | 8 | 0.667 | 17 | 29 | 46 | 0 | 0 | 32 | 24 | 23 | 4 | 155 | 208 | 237 | 217 | 10 | 168 | 44 | 54 | 106 | 20 | 4 | 20.00% | 24 | 6 | 75.00% | 1 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 65.0% | 11.0% | 92.3% | 103.2 | LUCKY | |
_Vs Division | 6 | 11 | 4 | 0 | 1 | 1 | 0 | 0 | 24 | 7 | 17 | 25 | 2.083 | 24 | 42 | 66 | 0 | 1 | 32 | 24 | 23 | 4 | 196 | 208 | 237 | 217 | 10 | 176 | 58 | 60 | 145 | 21 | 6 | 28.57% | 23 | 3 | 86.96% | 0 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 81.8% | 12.2% | 96.0% | 108.3 | LUCKY | |
_Vs Conference | 20 | 13 | 4 | 0 | 1 | 1 | 1 | 0 | 75 | 46 | 29 | 31 | 0.775 | 75 | 132 | 207 | 0 | 1 | 32 | 24 | 23 | 4 | 596 | 208 | 237 | 217 | 10 | 619 | 169 | 193 | 448 | 67 | 20 | 29.85% | 83 | 19 | 77.11% | 1 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 67.1% | 12.6% | 92.6% | 105.2 | LUCKY | |
_Since Last GM Reset | 22 | 14 | 4 | 0 | 2 | 1 | 1 | 0 | 82 | 50 | 32 | 35 | 0.795 | 82 | 145 | 227 | 0 | 1 | 32 | 24 | 23 | 4 | 668 | 208 | 237 | 217 | 10 | 689 | 191 | 205 | 495 | 78 | 21 | 26.92% | 89 | 20 | 77.53% | 1 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 67.0% | 12.3% | 92.7% | 105.0 | LUCKY | |
Total | 22 | 14 | 4 | 0 | 2 | 1 | 1 | 0 | 82 | 50 | 32 | 35 | 0.795 | 82 | 145 | 227 | 0 | 1 | 32 | 24 | 23 | 4 | 668 | 208 | 237 | 217 | 10 | 689 | 191 | 205 | 495 | 78 | 21 | 26.92% | 89 | 20 | 77.53% | 1 | 373 | 759 | 49.14% | 392 | 808 | 48.51% | 174 | 353 | 49.29% | 521 | 354 | 523 | 167 | 286 | 143 | 67.0% | 12.3% | 92.7% | 105.0 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 759 |
Neutral Zone Start | 353 |
Defensive Zone Start | 808 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 939 |
Faceoffs Lost | 981 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 20.2 | 20.31 |
3rd Period | 30.1 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.6 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 60 |
---|---|
PP Goal | 21 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 10 |
Lost | 2 | 2 |
Overtime Lost | 1 | 0 |
PP Attempt | 78 |
---|---|
PP Goal | 21 |
PK Attempt | 89 |
PK Goal Against | 20 |
Home | |
---|---|
Shots For | 30.4 |
Shots Against | 31.3 |
Goals For | 3.7 |
Goals Against | 2.3 |
Hits | 22.5 |
Shots Blocked | 8.7 |
Pim | 9.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-14 | @ | Senators1,Bears9 | RECAP | |||||||||||
2023-10-15 | @ | Monsters4,Bears8 | RECAP | |||||||||||
2023-10-20 | @ | Bears4,Bruins2 | RECAP | |||||||||||
2023-10-21 | @ | Bears2,Bruins1 | RECAP | |||||||||||
2023-10-22 | @ | Bears5,Islanders3 | RECAP | |||||||||||
2023-10-25 | @ | Bears2,Penguins3 | RECAP | |||||||||||
2023-10-28 | @ | Phantoms4,Bears5 (OT) | RECAP | |||||||||||
2023-10-29 | @ | Penguins1,Bears2 | RECAP | |||||||||||
2023-11-03 | @ | Bears4,Penguins2 | RECAP | |||||||||||
2023-11-04 | @ | Islanders5,Bears4 (OT) | RECAP | |||||||||||
2023-11-11 | @ | Bears4,Phantoms2 | RECAP | |||||||||||
2023-11-12 | @ | Phantoms3,Bears1 | RECAP | |||||||||||
2023-11-15 | @ | Bears4,Penguins2 | RECAP | |||||||||||
2023-11-17 | @ | Islanders4,Bears3 | RECAP | |||||||||||
2023-11-18 | @ | Bears4,Islanders1 | RECAP | |||||||||||
2023-11-22 | @ | Penguins2,Bears3 | RECAP | |||||||||||
2023-11-25 | @ | Wild3,Bears4 (OT) | RECAP | |||||||||||
2023-11-26 | @ | Wild1,Bears3 | RECAP | |||||||||||
2023-11-29 | @ | Bears2,Penguins3 | RECAP | |||||||||||
2023-12-01 | @ | Bears2,Checkers0 | RECAP | |||||||||||
2023-12-02 | @ | Bears4,Checkers1 | RECAP | |||||||||||
2023-12-08 | @ | Bears3,Crunch2 (SO) | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,832,666$ | 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 | 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 |
26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,832,666$ | 2,832,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
1,005,603$ | 14,526$ | 851,727$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 132 | 17,091$ | 2,307,285$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,307,285$ | 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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