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Hershey Bears 0-1-0, 0pts · 11th in EASTERN CONFERENCE |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 82 | LW | 98.00 | 51 | 44 | 80 | 88 | 64 | 82 | 94 | 82 | 71 | 78 | 75 | 71 | 74 | 51 | 51 | 90 | 50 | 71 | 20 | 925,000$/1yrs | |||
![]() | 73 | C | 98.00 | 61 | 57 | 75 | 85 | 71 | 77 | 95 | 79 | 76 | 72 | 73 | 76 | 72 | 57 | 57 | 87 | 50 | 71 | 21 | 925,000$/1yrs | |||
![]() | 92 | LW/RW | 98.00 | 89 | 73 | 68 | 86 | 73 | 73 | 82 | 69 | 37 | 64 | 73 | 72 | 25 | 64 | 63 | 74 | 50 | 68 | 23 | 700,000$/5yrs | |||
![]() | 94 | C/LW/RW | 98.00 | 51 | 51 | 97 | 95 | 74 | 78 | 95 | 60 | 74 | 58 | 55 | 75 | 58 | 68 | 64 | 72 | 50 | 66 | 25 | 1,025,000$/6yrs | |||
![]() | 61 | C | 99.00 | 49 | 43 | 95 | 95 | 66 | 65 | 84 | 68 | 69 | 67 | 60 | 63 | 61 | 68 | 68 | 68 | 50 | 66 | 23 | 775,000$/6yrs | |||
![]() | 39 | C/LW | 98.00 | 65 | 58 | 97 | 68 | 61 | 65 | 65 | 71 | 84 | 68 | 72 | 74 | 66 | 68 | 68 | 70 | 50 | 66 | 24 | 725,000$/4yrs | |||
![]() | 89 | C/LW/RW | 100.00 | 83 | 82 | 59 | 94 | 78 | 72 | 83 | 60 | 70 | 59 | 55 | 63 | 59 | 71 | 71 | 72 | 50 | 65 | 25 | 725,000$/6yrs | |||
![]() | 96 | LW/RW | 100.00 | 51 | 50 | 93 | 89 | 75 | 74 | 95 | 58 | 65 | 51 | 58 | 65 | 68 | 63 | 63 | 73 | 50 | 63 | 23 | 925,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 47 | 41 | 91 | 80 | 64 | 73 | 85 | 67 | 63 | 63 | 59 | 63 | 62 | 54 | 54 | 90 | 50 | 63 | 21 | 925,000$/3yrs | |||
![]() | 14 | D | 100.00 | 84 | 67 | 65 | 88 | 71 | 70 | 81 | 80 | 25 | 77 | 61 | 73 | 25 | 67 | 67 | 71 | 50 | 72 | 24 | 875,000$/5yrs | |||
![]() | 3 | D | 100.00 | 71 | 65 | 86 | 99 | 65 | 66 | 71 | 75 | 25 | 62 | 62 | 66 | 60 | 65 | 65 | 75 | 50 | 68 | 25 | 1,250,000$/1yrs | |||
![]() | 8 | D | 100.00 | 55 | 53 | 95 | 77 | 84 | 75 | 79 | 63 | 25 | 59 | 58 | 75 | 59 | 76 | 76 | 56 | 50 | 68 | 28 | 1,125,000$/2yrs | |||
![]() | 15 | D | 100.00 | 86 | 84 | 57 | 92 | 71 | 70 | 93 | 55 | 25 | 58 | 43 | 68 | 45 | 69 | 69 | 73 | 50 | 68 | 24 | 1,000,000$/1yrs | |||
![]() | 4 | D | 100.00 | 54 | 52 | 83 | 92 | 73 | 70 | 95 | 62 | 25 | 59 | 57 | 70 | 55 | 63 | 63 | 81 | 50 | 68 | 23 | 725,000$/6yrs | |||
![]() | 48 | D | 100.00 | 51 | 50 | 95 | 88 | 79 | 74 | 95 | 65 | 25 | 57 | 54 | 64 | 50 | 71 | 69 | 62 | 50 | 67 | 26 | 925,000$/2yrs | |||
![]() | 25 | D | 100.00 | 74 | 72 | 79 | 71 | 75 | 80 | 86 | 62 | 25 | 52 | 46 | 71 | 44 | 63 | 63 | 75 | 50 | 66 | 22 | 925,000$/1yrs | |||
![]() | 47 | D | 100.00 | 47 | 40 | 87 | 86 | 63 | 71 | 88 | 60 | 25 | 61 | 48 | 65 | 50 | 60 | 60 | 80 | 50 | 64 | 22 | 725,000$/3yrs | |||
![]() | 38 | D | 100.00 | 65 | 62 | 66 | 80 | 82 | 71 | 95 | 51 | 25 | 53 | 39 | 67 | 41 | 54 | 54 | 87 | 50 | 64 | 22 | 775,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 87 | C | 100.00 | 45 | 36 | 89 | 93 | 57 | 66 | 88 | 59 | 67 | 61 | 49 | 62 | 51 | 66 | 66 | 76 | 50 | 62 | 24 | 700,000$/2yrs | |||
![]() | 7 | C | 100.00 | 52 | 46 | 80 | 84 | 67 | 70 | 95 | 58 | 69 | 58 | 49 | 65 | 51 | 65 | 65 | 73 | 50 | 62 | 23 | 775,000$/2yrs | |||
![]() | 37 | C/LW/RW | 100.00 | 49 | 43 | 92 | 89 | 67 | 65 | 93 | 58 | 67 | 53 | 54 | 65 | 57 | 58 | 58 | 74 | 50 | 62 | 24 | 700,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 73 | 67 | 87 | 66 | 67 | 70 | 71 | 65 | 50 | 63 | 64 | 70 | 61 | 44 | 44 | 90 | 50 | 62 | 22 | 925,000$/2yrs | |||
![]() | 29 | C/LW | 100.00 | 75 | 70 | 89 | 74 | 73 | 59 | 59 | 57 | 71 | 51 | 59 | 70 | 56 | 65 | 66 | 75 | 50 | 61 | 24 | 750,000$/6yrs | |||
![]() | 74 | LW/RW | 100.00 | 48 | 43 | 99 | 81 | 73 | 57 | 59 | 60 | 59 | 55 | 56 | 64 | 61 | 67 | 67 | 72 | 50 | 60 | 25 | 1,000,000$/6yrs | |||
![]() | 20 | C/LW | 100.00 | 74 | 66 | 92 | 73 | 67 | 59 | 59 | 59 | 74 | 55 | 58 | 63 | 55 | 59 | 59 | 65 | 50 | 60 | 24 | 1,500,000$/2yrs | |||
![]() | 12 | C/LW/RW | 100.00 | 63 | 41 | 99 | 64 | 65 | 66 | 66 | 74 | 33 | 50 | 68 | 53 | 25 | 54 | 54 | 64 | 50 | 59 | 27 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 69 | 64 | 79 | 80 | 64 | 59 | 60 | 59 | 83 | 57 | 56 | 67 | 53 | 45 | 45 | 80 | 50 | 59 | 22 | 847,500$/2yrs | |||
![]() | 66 | D | 100.00 | 50 | 42 | 87 | 97 | 60 | 73 | 95 | 60 | 25 | 66 | 45 | 66 | 44 | 62 | 62 | 73 | 50 | 66 | 24 | 700,000$/4yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 90 | 100.00 | 83 | 72 | 68 | 72 | 74 | 90 | 92 | 92 | 95 | 83 | 75 | 68 | 66 | 43 | 50 | 80 | 30 | 700,000$/2yrs |
![]() | 0 | 100.00 | 77 | 70 | 67 | 66 | 82 | 72 | 72 | 76 | 82 | 77 | 75 | 47 | 47 | 80 | 50 | 70 | 24 | 775,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 30 | 100.00 | 78 | 52 | 51 | 75 | 68 | 68 | 69 | 74 | 78 | 75 | 65 | 54 | 55 | 73 | 50 | 67 | 23 | 700,000$/6yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Andrew Cristall | LW | 1 | 0 | 1 | 1 | -2 | 0 | 0 | 0 | 2 | 1 | 1 | 0.00% | 1 | 22.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 57.14% | 7 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | ||
2 | Francesco Pinelli | C | 1 | 0 | 1 | 1 | -2 | 0 | 0 | 1 | 3 | 1 | 2 | 0.00% | 1 | 21.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 52.94% | 17 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | ||
3 | Jeremie Poirier | D | 1 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 3 | 1 | 1 | 33.33% | 1 | 20.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | ||
4 | Ryan McLeod | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 21.27 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 36.36% | 22 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
5 | Nick Perbix | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 1 | 18.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
6 | Jack Rathbone | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 2 | 0 | 1 | 0.00% | 3 | 20.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
7 | Dennis Gilbert | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 1 | 20.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Jared McIsaac | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 3 | 0.00% | 0 | 16.47 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Bowen Byram | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 1 | 18.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Rasmus Kupari | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 0 | 0 | 3 | 0.00% | 0 | 18.13 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Ryan Suzuki | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 3 | 0.00% | 0 | 18.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.46% | 13 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Alex Beaucage | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Filip Mesar | RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 4 | 0 | 1 | 0.00% | 1 | 18.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Tyler Angle | C/LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 3 | 1 | 2 | 0.00% | 0 | 20.12 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Topi Niemela | 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 | Ville Heinola | D | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 3 | 0 | 0 | 0 | 0.00% | 2 | 20.90 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Vasily Podkolzin | LW/RW | 1 | 0 | 0 | 0 | -2 | 2 | 0 | 4 | 3 | 1 | 2 | 0.00% | 0 | 20.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Ethan Del Mastro | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 18 | 1 | 2 | 3 | -20 | 4 | 0 | 17 | 24 | 9 | 20 | 4.17% | 12 | 16.44 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 15 | 0 | 0 | 42.65% | 68 | 0 | 0 | 0 | 0 | 0.20 | 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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Elvis Merzlikins | 1 | 1 | 0 | 1 | 0 | 0.789 | 6.00 | -2.4 | 40 | 0 | 0 | 4 | 19 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
2 | Joel Hofer | 1 | 0 | 0 | 0 | 0 | 0.800 | 3.16 | -0.6 | 19 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 0.000 | 0 | 0 | 1 | 0 | 0 | 0 | |
Team Total or Average | 2 | 0 | 1 | 0 | 0.792 | 5.00 | 60 | 0 | 0 | 5 | 24 | 0 | 0 | 0 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 |
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|
Aidan Dudas | C | 24 | $700,000 | $700,000 | ||||||
Aidan Thompson | C | 23 | $775,000 | $775,000 | ||||||
Alex Barre-Boulet | C/LW/RW | 27 | $925,000 | |||||||
Alex Beaucage | LW/RW | 23 | $925,000 | |||||||
Alex Young | C/LW/RW | 24 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | |||
Andrew Cristall | LW | 20 | $925,000 | |||||||
Bowen Byram | D | 23 | $725,000 | $725,000 | $725,000 | $725,000 | $725,000 | $725,000 | ||
Dennis Gilbert | D | 28 | $1,125,000 | $1,125,000 | ||||||
Elvis Merzlikins | G | 30 | $700,000 | $700,000 | ||||||
Ethan Del Mastro | D | 22 | $775,000 | $775,000 | $775,000 | $775,000 | ||||
Filip Hallander | C/LW | 24 | $750,000 | $750,000 | $750,000 | $750,000 | $750,000 | $750,000 | ||
Filip Mesar | RW | 21 | $925,000 | $925,000 | $925,000 | |||||
Francesco Pinelli | C | 21 | $925,000 | |||||||
Jack Rathbone | D | 25 | $1,250,000 | |||||||
Jared McIsaac | D | 24 | $1,000,000 | |||||||
Jean-Luc Foudy | C | 22 | $847,500 | $847,500 | ||||||
Jeremie Poirier | D | 22 | $823,333 | |||||||
Joel Hofer | G | 24 | $775,000 | $775,000 | ||||||
Mackie Samoskevich | RW | 22 | $925,000 | $925,000 | ||||||
Mathias Emilio Pettersen | C/LW | 24 | $1,500,000 | $1,500,000 | ||||||
Nick Perbix | D | 26 | $925,000 | $925,000 | ||||||
Rasmus Kupari | C/LW/RW | 25 | $725,000 | $725,000 | $725,000 | $725,000 | $725,000 | $725,000 | ||
Ryan McLeod | C/LW/RW | 25 | $1,025,000 | $1,025,000 | $1,025,000 | $1,025,000 | $1,025,000 | $1,025,000 | ||
Ryan Merkley | D | 24 | $700,000 | $700,000 | $700,000 | $700,000 | ||||
Ryan Suzuki | C | 23 | $775,000 | $775,000 | $775,000 | $775,000 | $775,000 | $775,000 | ||
Spencer Knight | G | 23 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | ||
Topi Niemela | D | 22 | $725,000 | $725,000 | $725,000 | |||||
Tyler Angle | C/LW | 24 | $725,000 | $725,000 | $725,000 | $725,000 | ||||
Vasily Podkolzin | LW/RW | 23 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | |||
Ville Heinola | D | 24 | $875,000 | $875,000 | $875,000 | $875,000 | $875,000 | |||
Vitali Kravtsov | LW/RW | 25 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 |
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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 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 11 | 5 | 8 | 0 | 24 | 12 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 11 | 27 | 40.74% | 13 | 29 | 44.83% | 5 | 12 | 41.67% | 23 | 16 | 23 | 6 | 13 | 6 | 16.7% | 4.2% | 79.2% | 83.3 | Unlucky | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 11 | 5 | 8 | 0 | 24 | 12 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 11 | 27 | 40.74% | 13 | 29 | 44.83% | 5 | 12 | 41.67% | 23 | 16 | 23 | 6 | 13 | 6 | 16.7% | 4.2% | 79.2% | 83.3 | Unlucky | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 11 | 5 | 8 | 0 | 24 | 12 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 11 | 27 | 40.74% | 13 | 29 | 44.83% | 5 | 12 | 41.67% | 23 | 16 | 23 | 6 | 13 | 6 | 16.7% | 4.2% | 79.2% | 83.3 | Unlucky | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 11 | 5 | 8 | 0 | 24 | 12 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 11 | 27 | 40.74% | 13 | 29 | 44.83% | 5 | 12 | 41.67% | 23 | 16 | 23 | 6 | 13 | 6 | 16.7% | 4.2% | 79.2% | 83.3 | Unlucky |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
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Offensive Zone Start | 27 |
Neutral Zone Start | 12 |
Defensive Zone Start | 29 |
Puck Time | |
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With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 29 |
Faceoffs Lost | 39 |
Team Average Shots after | League Average Shots after | |
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1st Period | 11.0 | 9.57 |
2nd Period | 16.0 | 20.31 |
3rd Period | 24.0 | 30.68 |
Overtime | 24.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 1 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 1 |
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PP Goal | 0 |
PK Attempt | 2 |
PK Goal Against | 0 |
Home | |
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Shots For | 24.0 |
Shots Against | 24.0 |
Goals For | 1.0 |
Goals Against | 5.0 |
Hits | 17.0 |
Shots Blocked | 12.0 |
Pim | 4.0 |
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$2,687,083 | $0 | $0 | $75,000,000 |
Arena | About us | |
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![]() | Name | Capital One Center |
City | Hershey | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 3000 | |||
Ticket Price | $25 | $12 | $ | $ | $ |
Attendance | 4306 | 2549 | |||
Attendance PCT | 71.77% | 84.97% | 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 |
40 | 6855 - 76.17% | $165,886 | $165,886 | 9000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$2,687,083 | $2,697,250 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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$14,846 | $0 | $14,846 | $0 |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$0 | 188 | $14,846 | $2,672,280 |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$2,672,280 | $0 | $0 | $0 |
Sponsors | |||
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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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