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Full Scoreboard »» |
![]() | Wilkes-Barre/Scranton Penguins 1-2-0, 2pts · 15th in Conference 1 |
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 | 100.00 | 74 | 41 | 87 | 74 | 83 | 80 | 80 | 69 | 77 | 63 | 64 | 70 | 69 | 68 | 58 | 1 | 50 | 69 | 25 | 2,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 40 | 78 | 73 | 85 | 81 | 65 | 69 | 46 | 61 | 67 | 63 | 69 | 55 | 50 | 1 | 50 | 66 | 23 | 975,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 40 | 78 | 69 | 64 | 71 | 68 | 67 | 43 | 66 | 61 | 59 | 65 | 59 | 50 | 1 | 50 | 63 | 26 | 1,500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 74 | 63 | 57 | 65 | 79 | 70 | 67 | 63 | 40 | 57 | 58 | 61 | 62 | 61 | 53 | 1 | 50 | 62 | 28 | 975,000$/2yrs | |||
![]() | 0 | C | 100.00 | 53 | 40 | 74 | 64 | 58 | 65 | 65 | 62 | 62 | 64 | 55 | 59 | 60 | 75 | 68 | 1 | 50 | 61 | 38 | 1,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 60 | 42 | 70 | 65 | 63 | 64 | 62 | 60 | 42 | 60 | 55 | 58 | 60 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 55 | 64 | 52 | 60 | 66 | 72 | 71 | 62 | 43 | 58 | 57 | 52 | 59 | 65 | 58 | 1 | 50 | 59 | 32 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 61 | 43 | 67 | 63 | 64 | 67 | 65 | 60 | 42 | 56 | 55 | 58 | 59 | 53 | 50 | 1 | 50 | 58 | 26 | 975,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 55 | 44 | 61 | 67 | 55 | 62 | 61 | 61 | 42 | 60 | 56 | 59 | 61 | 51 | 50 | 1 | 50 | 58 | 23 | 1,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 60 | 42 | 67 | 64 | 63 | 63 | 61 | 57 | 42 | 56 | 53 | 56 | 58 | 51 | 50 | 1 | 50 | 57 | 23 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 56 | 43 | 68 | 65 | 59 | 65 | 63 | 60 | 42 | 54 | 55 | 53 | 60 | 52 | 50 | 1 | 50 | 57 | 24 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 41 | 67 | 62 | 61 | 60 | 58 | 57 | 41 | 54 | 55 | 54 | 58 | 50 | 50 | 1 | 50 | 56 | 22 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 45 | 66 | 65 | 67 | 67 | 66 | 62 | 40 | 54 | 56 | 68 | 61 | 54 | 50 | 1 | 50 | 62 | 26 | 1,200,000$/4yrs | |||
![]() | 0 | D | 100.00 | 62 | 42 | 69 | 63 | 66 | 63 | 62 | 59 | 40 | 52 | 53 | 62 | 59 | 50 | 50 | 1 | 50 | 59 | 22 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 40 | 69 | 63 | 65 | 64 | 62 | 55 | 40 | 52 | 51 | 64 | 56 | 56 | 50 | 1 | 50 | 59 | 28 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 42 | 69 | 63 | 67 | 64 | 62 | 61 | 40 | 56 | 54 | 60 | 59 | 51 | 50 | 1 | 50 | 59 | 23 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 48 | 57 | 62 | 64 | 60 | 58 | 58 | 40 | 55 | 55 | 64 | 58 | 50 | 50 | 1 | 50 | 59 | 22 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 41 | 71 | 65 | 64 | 62 | 59 | 56 | 40 | 51 | 51 | 64 | 57 | 52 | 50 | 1 | 50 | 59 | 24 | 1,000,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 61 | 41 | 71 | 61 | 66 | 62 | 60 | 58 | 41 | 53 | 53 | 53 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 40 | 70 | 64 | 62 | 62 | 59 | 56 | 40 | 52 | 52 | 54 | 58 | 52 | 50 | 1 | 50 | 56 | 24 | 975,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 54 | 59 | 54 | 63 | 59 | 68 | 67 | 57 | 46 | 52 | 52 | 54 | 58 | 65 | 55 | 1 | 50 | 56 | 31 | 1,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 55 | 40 | 69 | 65 | 55 | 61 | 58 | 55 | 48 | 52 | 52 | 54 | 57 | 52 | 50 | 1 | 50 | 55 | 24 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 41 | 69 | 63 | 62 | 61 | 58 | 55 | 40 | 52 | 51 | 55 | 56 | 52 | 50 | 1 | 50 | 55 | 24 | 975,000$/1yrs | |||
![]() | 0 | C | 100.00 | 55 | 41 | 66 | 62 | 56 | 58 | 57 | 55 | 47 | 54 | 53 | 54 | 57 | 50 | 50 | 1 | 50 | 55 | 22 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 66 | 62 | 61 | 61 | 58 | 55 | 40 | 53 | 53 | 61 | 57 | 52 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 55 | 40 | 66 | 65 | 57 | 63 | 60 | 53 | 40 | 52 | 51 | 60 | 56 | 53 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 40 | 62 | 61 | 64 | 58 | 57 | 54 | 40 | 53 | 53 | 59 | 55 | 50 | 50 | 1 | 50 | 57 | 22 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 40 | 66 | 61 | 62 | 61 | 58 | 55 | 40 | 54 | 53 | 59 | 57 | 52 | 50 | 1 | 50 | 57 | 25 | 1,000,000$/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 | 74 | 65 | 69 | 65 | 71 | 72 | 74 | 73 | 73 | 71 | 59 | 54 | 50 | 1 | 50 | 65 | 26 | 1,600,000$/2yrs |
![]() | 0 | 100.00 | 72 | 63 | 67 | 63 | 69 | 71 | 74 | 71 | 72 | 69 | 57 | 50 | 50 | 1 | 50 | 63 | 22 | 975,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 59 | 57 | 57 | 64 | 59 | 57 | 56 | 54 | 58 | 59 | 54 | 51 | 50 | 1 | 50 | 53 | 23 | 975,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Daniel Alfredsson | 67 | 68 | 71 | 68 | 58 | 55 | 1 | SWE | 52 | 4 | 500,000$ |
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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Rasmus Kupari | ![]() | C/RW | 3 | 1 | 4 | 5 | 2 | 0 | 0 | 3 | 12 | 3 | 6 | 8.33% | 3 | 18.26 | 0 | 1 | 1 | 0 | 1 | 1 | 4 | 0 | 0 | 66.67% | 0 | 0 | 1.67 | 0 | 0 | 1.80 | |||
2 | Christoffer Sedoff | ![]() | D | 3 | 1 | 2 | 3 | 4 | 0 | 0 | 0 | 6 | 1 | 0 | 16.67% | 3 | 19.41 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 1.35 | |||
3 | Valtteri Puustinen | ![]() | LW/RW | 3 | 2 | 1 | 3 | -2 | 0 | 0 | 7 | 12 | 1 | 6 | 16.67% | 2 | 21.08 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 1 | 40.00% | 0 | 0 | 1.00 | 0 | 0 | 0.91 | |||
4 | Chase Wheatcroft | ![]() | C | 3 | 0 | 2 | 2 | -4 | 4 | 0 | 5 | 4 | 1 | 1 | 0.00% | 0 | 18.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.59% | 0 | 0 | 0.67 | 0 | 0 | -0.16 | |||
5 | Cal O'Reilly | ![]() | C | 3 | 1 | 1 | 2 | 1 | 0 | 0 | 2 | 4 | 1 | 2 | 25.00% | 0 | 16.96 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 0 | 75.00% | 0 | 0 | 0.67 | 0 | 0 | 0.72 | |||
6 | Phil Kemp | ![]() | D | 3 | 0 | 2 | 2 | -2 | 7 | 5 | 6 | 2 | 2 | 0 | 0.00% | 2 | 23.73 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | -0.13 | |||
7 | Aatu Jamsen | ![]() | C/LW/RW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 3 | 3 | 1 | 0.00% | 0 | 10.95 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 57.14% | 0 | 0 | 0.50 | 0 | 0 | 0.47 | |||
8 | Alex Doucet | ![]() | LW | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 6 | 1 | 1 | 16.67% | 0 | 9.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.61 | |||
9 | Scott Sabourin | ![]() | RW | 3 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 11 | 0 | 4 | 9.09% | 0 | 15.93 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 0 | 0 | 0.33 | 0 | 0 | 0.80 | |||
10 | Sam Colangelo | ![]() | LW/RW | 3 | 0 | 1 | 1 | -4 | 2 | 0 | 4 | 7 | 2 | 8 | 0.00% | 4 | 20.52 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 66.67% | 0 | 0 | 0.33 | 0 | 0 | -0.04 | |||
11 | Adam McCormick | ![]() | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 13.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
12 | Artem Grushnikov | ![]() | D | 3 | 0 | 0 | 0 | -3 | 2 | 0 | 4 | 1 | 4 | 0 | 0.00% | 3 | 23.44 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.36 | |||
13 | Brendan Furry | ![]() | C/LW/RW | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | 4 | 3 | 0.00% | 0 | 15.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.85% | 0 | 0 | 0.00 | 0 | 0 | 0.30 | |||
14 | Chris Harpur | ![]() | D | 3 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 2 | 0 | 0 | 0.00% | 2 | 19.39 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.18 | |||
15 | Chris Jandric | ![]() | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 7.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
16 | Artur Cholach | ![]() | D | 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 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
17 | Ben Steeves | ![]() | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 0 | 3 | 0.00% | 1 | 10.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.16 | |||
18 | Braden Haché | ![]() | D | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 2 | 0 | 0 | 0.00% | 1 | 16.22 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | |||
19 | Bokondji Imama | ![]() | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 5 | 0.00% | 1 | 15.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77.78% | 0 | 0 | 0.00 | 0 | 0 | 0.17 | |||
20 | Chad Nychuk | ![]() | D | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 4 | 1 | 0 | 0.00% | 2 | 14.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.12 | |||
21 | Daniel D'Amato | ![]() | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 0 | 2 | 0.00% | 0 | 9.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.21 | |||
Team Total or Average | 54 | 7 | 14 | 21 | -6 | 17 | 5 | 54 | 93 | 27 | 42 | 7.53% | 24 | 16.48 | 1 | 2 | 3 | 50 | 1 | 2 | 3 | 38 | 1 | 1 | 54.86% | 144 | 15 | 16 | 0 | 0 | 0.47 | 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 | Michael DiPietro | ![]() | 3 | 1 | 2 | 0 | 0.871 | 2.68 | 179 | 0 | 0 | 8 | 62 | 36 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 0 |
Team Total or Average | 3 | 1 | 2 | 0 | 0.871 | 2.68 | 179 | 0 | 0 | 8 | 62 | 36 | 0 | 0 | 0.000 | 0 | 3 | 0 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Jamsen | C/LW/RW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Adam McCormick | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Alex Campbell | C | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Alex Doucet | LW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Alex Swetlikoff | C/LW/RW | 23 | 975,000$ | 975,000$ | |||||||
Anthony Romano | C/LW/RW | 24 | 975,000$ | 975,000$ | |||||||
Artem Grushnikov | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Artur Cholach | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Ben Steeves | LW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Bokondji Imama | LW | 28 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Braden Haché | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Braeden Kressler | C | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Brendan Furry | C/LW/RW | 26 | 975,000$ | 975,000$ | UFA | ||||||
Brennan Saulnier | LW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Brett Budgell | C/LW/RW | 24 | 975,000$ | 975,000$ | |||||||
Cal O'Reilly | C | 38 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Chad Nychuk | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Chase Wheatcroft | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Chris Harpur | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Chris Jandric | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Christian Krygier | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Christoffer Sedoff | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Daniel D'Amato | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Drew Commesso | G | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
Ethan Haider | G | 23 | 975,000$ | 975,000$ | |||||||
Michael DiPietro | G | 26 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Phil Kemp | D | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Rasmus Kupari | C/RW | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Sam Colangelo | LW/RW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Scott Sabourin | RW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Valtteri Puustinen | LW/RW | 26 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 3 | 4 | 0 | 59 | 24 | 35 | 34 | 0 | 40 | 15 | 15 | 32 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 27 | 55 | 49.09% | 28 | 50 | 56.00% | 24 | 39 | 61.54% | 61 | 30 | 52 | 29 | 65 | 32 | 50.0% | 8.5% | 87.5% | 96.0 | Unlucky |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 3 | 4 | 0 | 34 | 24 | 35 | 34 | 0 | 22 | 9 | 2 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 1 | 27 | 55 | 49.09% | 28 | 50 | 56.00% | 24 | 39 | 61.54% | 61 | 30 | 52 | 29 | 65 | 32 | 40.0% | 5.9% | 86.4% | 92.2 | Unlucky |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 3 | 4 | 0 | 34 | 24 | 35 | 34 | 0 | 22 | 9 | 2 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 1 | 27 | 55 | 49.09% | 28 | 50 | 56.00% | 24 | 39 | 61.54% | 61 | 30 | 52 | 29 | 65 | 32 | 40.0% | 5.9% | 86.4% | 92.2 | Unlucky | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 3 | 4 | 0 | 34 | 24 | 35 | 34 | 0 | 22 | 9 | 2 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 1 | 27 | 55 | 49.09% | 28 | 50 | 56.00% | 24 | 39 | 61.54% | 61 | 30 | 52 | 29 | 65 | 32 | 40.0% | 5.9% | 86.4% | 92.2 | Unlucky | |
_Since Last GM Reset | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 0 | 3 | 4 | 0 | 93 | 24 | 35 | 34 | 0 | 62 | 24 | 17 | 54 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 1 | 27 | 55 | 49.09% | 28 | 50 | 56.00% | 24 | 39 | 61.54% | 61 | 30 | 52 | 29 | 65 | 32 | 46.2% | 7.5% | 87.1% | 94.6 | Unlucky | |
Total | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 0 | 3 | 4 | 0 | 93 | 24 | 35 | 34 | 0 | 62 | 24 | 17 | 54 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 1 | 27 | 55 | 49.09% | 28 | 50 | 56.00% | 24 | 39 | 61.54% | 61 | 30 | 52 | 29 | 65 | 32 | 46.2% | 7.5% | 87.1% | 94.6 | Unlucky |
Puck Time | |
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Offensive Zone | 20 |
Neutral Zone | 21 |
Defensive Zone | 17 |
Puck Time | |
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Offensive Zone Start | 55 |
Neutral Zone Start | 39 |
Defensive Zone Start | 50 |
Puck Time | |
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With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 79 |
Faceoffs Lost | 65 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 19.7 | 20.31 |
3rd Period | 31.0 | 30.68 |
Overtime | 31.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 5 |
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PP Goal | 1 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 1 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 6 |
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PP Goal | 1 |
PK Attempt | 6 |
PK Goal Against | 1 |
Home | |
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Shots For | 31.0 |
Shots Against | 20.7 |
Goals For | 2.3 |
Goals Against | 2.7 |
Hits | 18.0 |
Shots Blocked | 8.0 |
Pim | 5.7 |
Date | Matchup | Result | Detail | |||||||||||
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Wed, Oct 8 | ![]() | @ | ![]() | DAL1,PIT4 | RECAP | |||||||||
Fri, Oct 10 | ![]() | @ | ![]() | PIT1,DAL4 | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | FLO3,PIT2 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,307,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Wilkes-Barre/Scranton | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
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 |
3,307,500$ | 3,307,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
182,843$ | 0$ | 159,172$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 22,530$ | 3,627,330$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,627,330$ | 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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