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Full Scoreboard »» |
Wilkes-Barre/Scranton Penguins 30-16-8, 68pts · 5th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mark Jankowski | 0 | C/LW | 100.00 | 63 | 43 | 80 | 71 | 83 | 82 | 78 | 70 | 76 | 66 | 66 | 70 | 69 | 77 | 67 | 1 | 50 | 69 | 29 | 1,300,000$/1yrs | |||
Valtteri Puustinen | 0 | LW/RW | 100.00 | 64 | 41 | 82 | 74 | 69 | 76 | 71 | 71 | 42 | 71 | 64 | 63 | 70 | 57 | 50 | 1 | 50 | 66 | 25 | 1,500,000$/3yrs | |||
Danny O'Regan | 0 | C/LW | 100.00 | 52 | 43 | 71 | 66 | 59 | 69 | 68 | 64 | 60 | 64 | 58 | 50 | 63 | 59 | 50 | 1 | 50 | 60 | 30 | 975,000$/2yrs | |||
Brendan Furry | 0 | C/LW/RW | 100.00 | 62 | 42 | 64 | 63 | 63 | 65 | 63 | 61 | 41 | 58 | 56 | 59 | 59 | 52 | 50 | 1 | 50 | 59 | 25 | 975,000$/2yrs | |||
Ben Tardif | 0 | C/LW/RW | 100.00 | 62 | 40 | 69 | 66 | 62 | 60 | 59 | 57 | 40 | 55 | 54 | 60 | 59 | 51 | 50 | 1 | 50 | 58 | 24 | 1,400,000$/3yrs | |||
Ben Berard | 0 | C/LW/RW | 100.00 | 60 | 40 | 68 | 63 | 62 | 63 | 61 | 58 | 40 | 55 | 55 | 58 | 58 | 52 | 50 | 1 | 50 | 57 | 25 | 975,000$/2yrs | |||
Chase Wheatcroft (R) | 0 | LW | 100.00 | 59 | 41 | 66 | 63 | 62 | 62 | 61 | 59 | 41 | 59 | 55 | 56 | 59 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/3yrs | |||
Bokondji Imama | 0 | LW | 100.00 | 63 | 64 | 52 | 58 | 69 | 67 | 66 | 58 | 41 | 54 | 52 | 55 | 56 | 55 | 50 | 1 | 50 | 57 | 27 | 1,000,000$/1yrs | |||
Brett Budgell | 0 | C/LW/RW | 100.00 | 60 | 40 | 67 | 63 | 62 | 60 | 58 | 56 | 40 | 55 | 54 | 55 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/2yrs | |||
Jamie Drysdale | 0 | D | 100.00 | 58 | 41 | 80 | 76 | 78 | 87 | 71 | 71 | 40 | 66 | 64 | 68 | 70 | 63 | 54 | 1 | 50 | 68 | 22 | 1,800,000$/3yrs | |||
Jakub Zboril | 0 | D | 100.00 | 60 | 42 | 74 | 68 | 70 | 74 | 69 | 62 | 40 | 60 | 55 | 64 | 61 | 61 | 54 | 1 | 50 | 63 | 27 | 1,500,000$/3yrs | |||
Markus Niemelainen | 0 | D | 100.00 | 67 | 42 | 73 | 68 | 73 | 69 | 64 | 61 | 40 | 54 | 54 | 67 | 61 | 55 | 50 | 1 | 50 | 63 | 26 | 1,500,000$/2yrs | |||
Philip Kemp | 0 | D | 100.00 | 67 | 50 | 65 | 67 | 68 | 66 | 65 | 61 | 40 | 58 | 54 | 68 | 61 | 53 | 50 | 1 | 50 | 62 | 25 | 1,200,000$/4yrs | |||
Robin Salo | 0 | D | 100.00 | 57 | 42 | 72 | 67 | 64 | 67 | 64 | 63 | 40 | 61 | 54 | 62 | 61 | 53 | 50 | 1 | 50 | 61 | 25 | 975,000$/1yrs | |||
Keaton Thompson | 0 | D | 100.00 | 60 | 41 | 69 | 65 | 64 | 65 | 62 | 56 | 40 | 51 | 53 | 62 | 58 | 57 | 50 | 1 | 50 | 59 | 28 | 2,000,000$/2yrs | |||
Carl Dahlström | 0 | D | 100.00 | 64 | 46 | 69 | 58 | 71 | 66 | 63 | 56 | 40 | 53 | 50 | 63 | 55 | 57 | 50 | 1 | 50 | 59 | 29 | 1,000,000$/1yrs | |||
Chad Nychuk | 0 | D | 100.00 | 61 | 41 | 69 | 66 | 64 | 59 | 57 | 55 | 40 | 52 | 53 | 63 | 58 | 51 | 50 | 1 | 50 | 59 | 23 | 1,000,000$/1yrs | |||
Alex Breton | 0 | D | 100.00 | 59 | 40 | 68 | 64 | 62 | 61 | 59 | 56 | 40 | 54 | 53 | 60 | 57 | 52 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Scott Sabourin | 0 | RW | 100.00 | 58 | 67 | 50 | 62 | 66 | 71 | 70 | 63 | 43 | 56 | 59 | 55 | 61 | 65 | 56 | 1 | 50 | 60 | 31 | 1,000,000$/2yrs | |||
Brennan Saulnier | 0 | C | 100.00 | 55 | 57 | 56 | 65 | 59 | 67 | 65 | 57 | 51 | 53 | 53 | 57 | 59 | 62 | 53 | 1 | 50 | 57 | 30 | ||||
Alex Swetlikoff | 0 | C/LW/RW | 100.00 | 62 | 40 | 67 | 60 | 66 | 59 | 58 | 57 | 40 | 54 | 55 | 55 | 58 | 50 | 50 | 1 | 50 | 56 | 22 | 975,000$/2yrs | |||
Anthony Romano | 0 | C/LW/RW | 100.00 | 59 | 40 | 67 | 63 | 62 | 60 | 58 | 56 | 40 | 54 | 54 | 55 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/2yrs | |||
Brandon Cutler | 0 | C/LW/RW | 100.00 | 61 | 44 | 67 | 60 | 65 | 59 | 58 | 56 | 40 | 53 | 54 | 54 | 57 | 51 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/1yrs | |||
Collin Adams | 0 | LW | 100.00 | 60 | 44 | 69 | 64 | 63 | 62 | 60 | 56 | 40 | 51 | 52 | 55 | 57 | 53 | 50 | 1 | 50 | 56 | 26 | 1,000,000$/1yrs | |||
Patrick McGrath | 0 | C/LW/RW | 100.00 | 57 | 51 | 57 | 59 | 62 | 65 | 63 | 54 | 40 | 53 | 53 | 54 | 55 | 61 | 54 | 1 | 50 | 56 | 31 | 975,000$/1yrs | |||
Daniel D'Amato | 0 | C/LW/RW | 100.00 | 58 | 42 | 68 | 64 | 62 | 62 | 61 | 58 | 41 | 54 | 53 | 53 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 1,000,000$/3yrs | |||
Alex-Olivier Voyer | 0 | RW | 100.00 | 60 | 42 | 66 | 62 | 63 | 61 | 59 | 54 | 40 | 52 | 52 | 55 | 56 | 52 | 50 | 1 | 50 | 55 | 25 | 1,000,000$/1yrs | |||
Ryan MacKinnon | 0 | D | 100.00 | 55 | 43 | 68 | 64 | 63 | 66 | 64 | 55 | 40 | 51 | 50 | 60 | 56 | 59 | 50 | 1 | 50 | 58 | 29 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zach Fucale | 0 | 100.00 | 73 | 66 | 69 | 64 | 69 | 70 | 73 | 70 | 71 | 70 | 61 | 54 | 50 | 1 | 50 | 63 | 26 | 975,000$/1yrs |
Arvid Holm | 0 | 100.00 | 69 | 63 | 65 | 71 | 69 | 69 | 71 | 68 | 69 | 67 | 55 | 52 | 50 | 1 | 50 | 62 | 25 | 975,000$/1yrs |
Scratches | ||||||||||||||||||||
Zane McIntyre | 0 | 100.00 | 68 | 70 | 71 | 65 | 68 | 66 | 67 | 63 | 66 | 69 | 68 | 65 | 58 | 1 | 50 | 62 | 31 | 1,000,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Marco Sturm | 68 | 73 | 69 | 75 | 57 | 53 | 1 | GER | 45 | 1 | 500,000$ |
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 | Mark Jankowski | Penguins (PIT) | C/LW | 54 | 27 | 46 | 73 | 20 | 26 | 20 | 85 | 182 | 60 | 101 | 14.84% | 32 | 23.01 | 3 | 18 | 21 | 1 | 0 | 1 | 103 | 6 | 5 | 57.97% | 0 | 1 | 1.35 | 1 | 5 | 1.36 | |||
2 | Valtteri Puustinen | Penguins (PIT) | LW/RW | 54 | 32 | 37 | 69 | 16 | 22 | 20 | 60 | 239 | 75 | 99 | 13.39% | 28 | 22.61 | 11 | 9 | 20 | 1 | 0 | 1 | 105 | 4 | 1 | 36.94% | 1 | 2 | 1.28 | 2 | 6 | 1.34 | |||
3 | Jamie Drysdale | Penguins (PIT) | D | 53 | 11 | 28 | 39 | 9 | 11 | 5 | 53 | 132 | 59 | 53 | 8.33% | 79 | 26.03 | 6 | 5 | 11 | 0 | 0 | 0 | 93 | 2 | 1 | 0.00% | 0 | 0 | 0.74 | 0 | 1 | 0.81 | |||
4 | Danny O'Regan | Penguins (PIT) | C/LW | 54 | 17 | 20 | 37 | -3 | 23 | 5 | 68 | 114 | 40 | 86 | 14.91% | 17 | 18.86 | 2 | 5 | 7 | 1 | 1 | 2 | 38 | 2 | 0 | 51.05% | 0 | 0 | 0.69 | 0 | 2 | 0.62 | |||
5 | Brendan Furry | Penguins (PIT) | C/LW/RW | 52 | 12 | 16 | 28 | -8 | 26 | 0 | 107 | 89 | 38 | 48 | 13.48% | 15 | 18.23 | 1 | 4 | 5 | 0 | 0 | 0 | 37 | 4 | 1 | 35.62% | 0 | 0 | 0.54 | 0 | 1 | 0.42 | |||
6 | Scott Sabourin | Penguins (PIT) | RW | 49 | 14 | 14 | 28 | 17 | 154 | 50 | 98 | 66 | 14 | 31 | 21.21% | 10 | 19.77 | 5 | 3 | 8 | 0 | 0 | 0 | 0 | 3 | 1 | 43.08% | 0 | 0 | 0.57 | 0 | 3 | 0.12 | |||
7 | Jakub Zboril | Penguins (PIT) | D | 54 | 3 | 20 | 23 | 12 | 31 | 15 | 76 | 56 | 16 | 25 | 5.36% | 65 | 25.79 | 3 | 5 | 8 | 0 | 3 | 3 | 101 | 0 | 1 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.41 | |||
8 | Chase Wheatcroft | Penguins (PIT) | LW | 54 | 8 | 6 | 14 | -11 | 18 | 10 | 58 | 74 | 24 | 30 | 10.81% | 19 | 15.34 | 1 | 2 | 3 | 0 | 0 | 0 | 18 | 2 | 1 | 36.00% | 0 | 0 | 0.26 | 0 | 0 | 0.20 | |||
9 | Ben Tardif | Penguins (PIT) | C/LW/RW | 46 | 5 | 9 | 14 | 4 | 2 | 0 | 43 | 68 | 22 | 43 | 7.35% | 12 | 14.69 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 40.63% | 0 | 0 | 0.30 | 0 | 0 | 0.39 | |||
10 | Ben Berard | Penguins (PIT) | C/LW/RW | 52 | 8 | 5 | 13 | -1 | 15 | 5 | 67 | 74 | 23 | 32 | 10.81% | 15 | 16.38 | 2 | 0 | 2 | 1 | 0 | 1 | 46 | 2 | 0 | 36.71% | 0 | 0 | 0.25 | 0 | 1 | 0.28 | |||
11 | Philip Kemp | Penguins (PIT) | D | 54 | 1 | 11 | 12 | -1 | 35 | 15 | 54 | 43 | 14 | 14 | 2.33% | 46 | 20.25 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0 | 1 | 100.00% | 0 | 0 | 0.22 | 1 | 1 | 0.13 | |||
12 | Markus Niemelainen | Penguins (PIT) | D | 51 | 1 | 10 | 11 | 0 | 8 | 0 | 59 | 47 | 12 | 20 | 2.13% | 47 | 20.42 | 0 | 2 | 2 | 0 | 1 | 1 | 83 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.24 | |||
13 | Bokondji Imama | Penguins (PIT) | LW | 54 | 8 | 1 | 9 | 0 | 36 | 10 | 88 | 43 | 9 | 20 | 18.60% | 12 | 14.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 39.13% | 0 | 0 | 0.17 | 0 | 0 | 0.10 | |||
14 | Keaton Thompson | Penguins (PIT) | D | 54 | 2 | 6 | 8 | -1 | 16 | 10 | 33 | 27 | 10 | 8 | 7.41% | 22 | 15.34 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 60.00% | 0 | 0 | 0.15 | 0 | 0 | 0.10 | |||
15 | Robin Salo | Penguins (PIT) | D | 41 | 1 | 7 | 8 | 2 | 9 | 5 | 14 | 22 | 5 | 11 | 4.55% | 14 | 14.07 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 1 | 0 | 0.20 | 0 | 0 | 0.17 | |||
16 | Anthony Romano | Penguins (PIT) | C/LW/RW | 22 | 1 | 3 | 4 | 1 | 2 | 0 | 26 | 26 | 6 | 20 | 3.85% | 1 | 9.82 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 75.00% | 0 | 0 | 0.18 | 0 | 0 | 0.26 | |||
17 | Brett Budgell | Penguins (PIT) | C/LW/RW | 28 | 1 | 2 | 3 | -2 | 4 | 0 | 28 | 15 | 9 | 9 | 6.67% | 1 | 10.17 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 36.00% | 0 | 0 | 0.11 | 0 | 0 | 0.09 | |||
18 | Daniel D'Amato | Penguins (PIT) | C/LW/RW | 22 | 1 | 2 | 3 | -2 | 6 | 0 | 15 | 14 | 8 | 16 | 7.14% | 3 | 8.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.14 | 0 | 0 | 0.10 | |||
19 | Alex Swetlikoff | Penguins (PIT) | C/LW/RW | 14 | 1 | 1 | 2 | 3 | 2 | 0 | 9 | 12 | 3 | 7 | 8.33% | 1 | 9.65 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 45.95% | 0 | 0 | 0.14 | 0 | 0 | 0.24 | |||
20 | Chad Nychuk | Penguins (PIT) | D | 40 | 0 | 2 | 2 | 4 | 0 | 0 | 7 | 12 | 4 | 4 | 0.00% | 5 | 5.83 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | 0.10 | |||
21 | Alex-Olivier Voyer | Penguins (PIT) | RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 6.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
22 | Brandon Cutler | Penguins (PIT) | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 5 | 5 | 3 | 3 | 0 | 0 | 0.00% | 0 | 8.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | -0.30 | |||
23 | Collin Adams | Penguins (PIT) | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
24 | Patrick McGrath | Penguins (PIT) | C/LW/RW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 11.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.10 | |||
25 | Alex Breton | Penguins (PIT) | D | 29 | 0 | 0 | 0 | -3 | 0 | 0 | 3 | 1 | 1 | 2 | 0.00% | 2 | 3.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
26 | Carl Dahlström | Penguins (PIT) | D | 29 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
Team Total or Average | 971 | 154 | 246 | 400 | 55 | 453 | 175 | 1058 | 1359 | 452 | 679 | 11.33% | 446 | 16.59 | 34 | 53 | 87 | 904 | 4 | 5 | 9 | 750 | 28 | 13 | 50.86% | 2503 | 327 | 290 | 2 | 3 | 0.50 | 4 | 20 |
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 | Zach Fucale | Penguins (PIT) | 54 | 30 | 16 | 8 | 0.890 | 2.42 | 3170 | 0 | 10 | 128 | 1166 | 660 | 2 | 1 | 0.750 | 20 | 54 | 0 | 4 | 5 | 1 |
2 | Arvid Holm | Penguins (PIT) | 6 | 0 | 0 | 0 | 0.833 | 2.31 | 104 | 0 | 0 | 4 | 24 | 11 | 0 | 0 | 0.000 | 0 | 0 | 54 | 0 | 0 | 0 |
Team Total or Average | 60 | 30 | 16 | 8 | 0.889 | 2.42 | 3275 | 0 | 10 | 132 | 1190 | 671 | 2 | 1 | 0.750 | 20 | 54 | 54 | 4 | 5 | 1 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Breton | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Alex Swetlikoff | C/LW/RW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Alex-Olivier Voyer | RW | 25 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Anthony Romano | C/LW/RW | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Arvid Holm | G | 25 | 975,000$ | 975,000$ | RFA | ||||||
Ben Berard | C/LW/RW | 25 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ben Tardif | C/LW/RW | 24 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA | ||||
Bokondji Imama | LW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Brandon Cutler | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Brendan Furry | C/LW/RW | 25 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Brennan Saulnier | C | 30 | 0$ | UFA | |||||||
Brett Budgell | C/LW/RW | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Carl Dahlström | D | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Chad Nychuk | D | 23 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Chase Wheatcroft | LW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Collin Adams | LW | 26 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Daniel D'Amato | C/LW/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | ||||
Danny O'Regan | C/LW | 30 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Jakub Zboril | D | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Jamie Drysdale | D | 22 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | RFA | ||||
Keaton Thompson | D | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Mark Jankowski | C/LW | 29 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Markus Niemelainen | D | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Patrick McGrath | C/LW/RW | 31 | 975,000$ | 975,000$ | UFA | ||||||
Philip Kemp | D | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Robin Salo | D | 25 | 975,000$ | 975,000$ | RFA | ||||||
Ryan MacKinnon | D | 29 | 0$ | UFA | |||||||
Scott Sabourin | RW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Valtteri Puustinen | LW/RW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Zach Fucale | G | 26 | 975,000$ | 975,000$ | UFA | ||||||
Zane McIntyre | G | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 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 | Gulls | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 1 | 41 | 43 | 64 | 10 | 48 | 357 | 535 | 448 | 38 | 35 | 9 | 19 | 39 | 6 | 2 | 33.33% | 7 | 2 | 71.43% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 42.9% | 10.4% | 82.9% | 93.3 | FUN |
2 | Moose | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 41 | 43 | 64 | 10 | 32 | 357 | 535 | 448 | 38 | 21 | 10 | 20 | 27 | 2 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 40.0% | 6.3% | 81.0% | 87.2 | Unlucky |
3 | Bruins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 41 | 43 | 64 | 10 | 51 | 357 | 535 | 448 | 38 | 62 | 13 | 9 | 37 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 1 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 50.0% | 11.8% | 91.9% | 103.7 | LUCKY |
4 | Americans | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 41 | 43 | 64 | 10 | 35 | 357 | 535 | 448 | 38 | 21 | 8 | 10 | 38 | 2 | 2 | 100.00% | 5 | 1 | 80.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 57.1% | 17.1% | 81.0% | 98.1 | FUN |
5 | Heat | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 41 | 43 | 64 | 10 | 27 | 357 | 535 | 448 | 38 | 14 | 6 | 2 | 24 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 33.3% | 3.7% | 85.7% | 89.4 | Unlucky |
6 | Wolves | 4 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 15 | 9 | 6 | 8 | 1.000 | 15 | 23 | 38 | 0 | 0 | 41 | 43 | 64 | 10 | 108 | 357 | 535 | 448 | 38 | 142 | 46 | 26 | 67 | 10 | 3 | 30.00% | 8 | 1 | 87.50% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 60.0% | 13.9% | 93.7% | 107.6 | LUCKY |
7 | IceHogs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 11 | 4 | 1.000 | 11 | 16 | 27 | 0 | 2 | 41 | 43 | 64 | 10 | 80 | 357 | 535 | 448 | 38 | 28 | 12 | 43 | 59 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 100.0% | 13.8% | 100.0% | 113.8 | LUCKY |
8 | Eagles | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 8 | 0 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 41 | 43 | 64 | 10 | 67 | 357 | 535 | 448 | 38 | 61 | 27 | 33 | 52 | 11 | 3 | 27.27% | 4 | 0 | 100.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 38.5% | 11.9% | 86.9% | 98.8 | FUN |
9 | Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 41 | 43 | 64 | 10 | 20 | 357 | 535 | 448 | 38 | 26 | 7 | 6 | 20 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 1 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 33.3% | 10.0% | 76.9% | 86.9 | FUN |
10 | Stars | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 5 | 4 | 5 | 0.833 | 9 | 12 | 21 | 0 | 0 | 41 | 43 | 64 | 10 | 71 | 357 | 535 | 448 | 38 | 34 | 10 | 8 | 66 | 9 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 69.2% | 12.7% | 85.3% | 98.0 | FUN |
11 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 41 | 43 | 64 | 10 | 19 | 357 | 535 | 448 | 38 | 34 | 13 | 15 | 23 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 0.0% | 5.3% | 88.2% | 93.5 | Unlucky |
12 | Condors | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 41 | 43 | 64 | 10 | 82 | 357 | 535 | 448 | 38 | 33 | 17 | 15 | 44 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 75.0% | 8.5% | 90.9% | 99.4 | Unlucky |
13 | Checkers 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 16 | 26 | 0 | 1 | 41 | 43 | 64 | 10 | 52 | 357 | 535 | 448 | 38 | 33 | 11 | 6 | 46 | 4 | 3 | 75.00% | 3 | 0 | 100.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 58.3% | 19.2% | 84.8% | 104.1 | FUN |
14 | Reign | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 5 | 7 | 6 | 0.750 | 12 | 20 | 32 | 0 | 2 | 41 | 43 | 64 | 10 | 91 | 357 | 535 | 448 | 38 | 57 | 34 | 37 | 67 | 9 | 2 | 22.22% | 11 | 0 | 100.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 66.7% | 13.2% | 91.2% | 104.4 | LUCKY |
15 | Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 41 | 43 | 64 | 10 | 10 | 357 | 535 | 448 | 38 | 28 | 8 | 4 | 15 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 0.0% | 0.0% | 96.4% | 96.4 | DULL |
16 | Rocket | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 41 | 43 | 64 | 10 | 37 | 357 | 535 | 448 | 38 | 24 | 8 | 2 | 27 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 50.0% | 8.1% | 83.3% | 91.4 | Unlucky |
17 | Admirals | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 41 | 43 | 64 | 10 | 66 | 357 | 535 | 448 | 38 | 53 | 20 | 40 | 40 | 11 | 1 | 9.09% | 5 | 3 | 40.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 30.0% | 6.1% | 81.1% | 87.2 | Unlucky |
18 | Wolf Pack | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 41 | 43 | 64 | 10 | 31 | 357 | 535 | 448 | 38 | 39 | 14 | 8 | 27 | 6 | 3 | 50.00% | 4 | 2 | 50.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 25.0% | 16.1% | 79.5% | 95.6 | FUN |
19 | Belleville Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 41 | 43 | 64 | 10 | 18 | 357 | 535 | 448 | 38 | 17 | 6 | 4 | 14 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 25.0% | 11.1% | 76.5% | 87.6 | FUN |
20 | Phantoms | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 9 | 15 | 0 | 1 | 41 | 43 | 64 | 10 | 69 | 357 | 535 | 448 | 38 | 67 | 26 | 32 | 67 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 54.5% | 8.7% | 91.0% | 99.7 | Unlucky |
21 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 41 | 43 | 64 | 10 | 14 | 357 | 535 | 448 | 38 | 5 | 4 | 4 | 19 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 100.0% | 14.3% | 100.0% | 114.3 | LUCKY |
22 | Thunderbirds | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 41 | 43 | 64 | 10 | 37 | 357 | 535 | 448 | 38 | 36 | 14 | 6 | 18 | 1 | 2 | 200.00% | 4 | 1 | 75.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 50.0% | 10.8% | 91.7% | 102.5 | LUCKY |
23 | Crunch | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 41 | 43 | 64 | 10 | 40 | 357 | 535 | 448 | 38 | 39 | 23 | 21 | 36 | 1 | 1 | 100.00% | 8 | 3 | 62.50% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 80.0% | 22.5% | 87.2% | 109.7 | FUN |
24 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 41 | 43 | 64 | 10 | 22 | 357 | 535 | 448 | 38 | 41 | 19 | 10 | 12 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 0.0% | 0.0% | 90.2% | 90.2 | Unlucky |
25 | Canucks | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 41 | 43 | 64 | 10 | 63 | 357 | 535 | 448 | 38 | 60 | 11 | 37 | 46 | 6 | 3 | 50.00% | 6 | 2 | 66.67% | 2 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 50.0% | 12.7% | 88.3% | 101.0 | FUN |
26 | Hershey Bears | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 15 | -3 | 2 | 0.250 | 12 | 18 | 30 | 0 | 0 | 41 | 43 | 64 | 10 | 118 | 357 | 535 | 448 | 38 | 141 | 57 | 30 | 67 | 10 | 2 | 20.00% | 5 | 0 | 100.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 40.0% | 10.2% | 89.4% | 99.5 | FUN |
27 | Silver Knights | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 2 | 3 | 0.750 | 3 | 5 | 8 | 0 | 1 | 41 | 43 | 64 | 10 | 22 | 357 | 535 | 448 | 38 | 14 | 5 | 4 | 29 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 66.7% | 13.6% | 92.9% | 106.5 | LUCKY |
28 | Checkers 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 41 | 43 | 64 | 10 | 29 | 357 | 535 | 448 | 38 | 26 | 8 | 4 | 32 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 75.0% | 10.3% | 92.3% | 102.7 | LUCKY |
_Vs Division | 12 | 7 | 6 | 0 | 3 | 1 | 0 | 0 | 37 | 35 | 2 | 21 | 0.875 | 37 | 58 | 95 | 0 | 1 | 41 | 43 | 64 | 10 | 274 | 357 | 535 | 448 | 38 | 271 | 101 | 77 | 233 | 21 | 9 | 42.86% | 26 | 7 | 73.08% | 1 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 50.0% | 13.5% | 87.1% | 100.6 | FUN | |
_Vs Conference | 27 | 10 | 9 | 0 | 4 | 2 | 1 | 1 | 84 | 82 | 2 | 33 | 0.611 | 84 | 130 | 214 | 0 | 2 | 41 | 43 | 64 | 10 | 664 | 357 | 535 | 448 | 38 | 712 | 249 | 201 | 504 | 54 | 19 | 35.19% | 58 | 15 | 74.14% | 4 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 49.2% | 12.7% | 88.5% | 101.1 | FUN | |
_Since Last GM Reset | 54 | 22 | 16 | 0 | 6 | 5 | 2 | 3 | 156 | 136 | 20 | 68 | 0.630 | 156 | 246 | 402 | 1 | 9 | 41 | 43 | 64 | 10 | 1359 | 357 | 535 | 448 | 38 | 1191 | 446 | 455 | 1058 | 123 | 34 | 27.64% | 121 | 25 | 79.34% | 4 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 52.4% | 11.5% | 88.6% | 100.1 | FUN | |
Total | 54 | 22 | 16 | 0 | 6 | 5 | 2 | 3 | 156 | 136 | 20 | 68 | 0.630 | 156 | 246 | 402 | 1 | 9 | 41 | 43 | 64 | 10 | 1359 | 357 | 535 | 448 | 38 | 1191 | 446 | 455 | 1058 | 123 | 34 | 27.64% | 121 | 25 | 79.34% | 4 | 511 | 980 | 52.14% | 432 | 837 | 51.61% | 330 | 644 | 51.24% | 1036 | 477 | 1021 | 561 | 1221 | 609 | 52.4% | 11.5% | 88.6% | 100.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 22 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 980 |
Neutral Zone Start | 644 |
Defensive Zone Start | 837 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1273 |
Faceoffs Lost | 1188 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 6.6 | 9.57 |
2nd Period | 16.5 | 20.31 |
3rd Period | 24.8 | 30.68 |
Overtime | 25.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 117 |
---|---|
PP Goal | 34 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 15 | 15 |
Lost | 7 | 9 |
Overtime Lost | 6 | 2 |
PP Attempt | 123 |
---|---|
PP Goal | 34 |
PK Attempt | 121 |
PK Goal Against | 25 |
Home | |
---|---|
Shots For | 25.2 |
Shots Against | 22.1 |
Goals For | 2.9 |
Goals Against | 2.5 |
Hits | 19.6 |
Shots Blocked | 8.3 |
Pim | 8.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sun, Oct 13 | PIT | @ | LOS | PIT2,LOS4 | RECAP | |||||||||
Tue, Oct 15 | NYR | @ | PIT | NYR3,PIT2 (OT) | RECAP | |||||||||
Thu, Oct 17 | PHI | @ | PIT | PHI4,PIT1 | RECAP | |||||||||
Sat, Oct 19 | PIT | @ | PHI | PIT1,PHI0 (OT) | RECAP | |||||||||
Mon, Oct 21 | WAS | @ | PIT | WAS4,PIT1 | RECAP | |||||||||
Tue, Oct 22 | PIT | @ | NYR | PIT3,NYR5 | RECAP | |||||||||
Thu, Oct 24 | PIT | @ | LOS | PIT3,LOS1 | RECAP | |||||||||
Sat, Oct 26 | CAR | @ | PIT | CAR2,PIT3 (OT) | RECAP | |||||||||
Tue, Oct 29 | PIT | @ | CAR | PIT2,CAR1 (OT) | RECAP | |||||||||
Wed, Oct 30 | PIT | @ | WAS | PIT2,WAS5 | RECAP | |||||||||
Fri, Nov 1 | FLO | @ | PIT | FLO0,PIT4 | RECAP | |||||||||
Sun, Nov 3 | BOS | @ | PIT | BOS3,PIT2 | RECAP | |||||||||
Wed, Nov 6 | DET | @ | PIT | DET4,PIT1 | RECAP | |||||||||
Fri, Nov 8 | DAL | @ | PIT | DAL2,PIT1 (OT) | RECAP | |||||||||
Sun, Nov 10 | PIT | @ | BOS | PIT4,BOS2 | RECAP | |||||||||
Mon, Nov 11 | CHI | @ | PIT | CHI0,PIT3 | RECAP | |||||||||
Wed, Nov 13 | PIT | @ | OTT | PIT2,OTT4 | RECAP | |||||||||
Fri, Nov 15 | VAN | @ | PIT | VAN5,PIT4 (OT) | RECAP | |||||||||
Sun, Nov 17 | PIT | @ | TAM | PIT4,TAM1 | RECAP | |||||||||
Tue, Nov 19 | PIT | @ | CAR | PIT5,CAR3 | RECAP | |||||||||
Thu, Nov 21 | CHI | @ | PIT | CHI0,PIT5 | RECAP | |||||||||
Sat, Nov 23 | PIT | @ | STL | PIT4,STL3 (OT) | RECAP | |||||||||
Mon, Nov 25 | PIT | @ | COL | PIT4,COL3 | RECAP | |||||||||
Wed, Nov 27 | COL | @ | PIT | COL5,PIT4 (SO) | RECAP | |||||||||
Fri, Nov 29 | PIT | @ | CHI | PIT6,CHI0 | RECAP | |||||||||
Sun, Dec 1 | DAL | @ | PIT | DAL1,PIT3 | RECAP | |||||||||
Tue, Dec 3 | CAR | @ | PIT | CAR3,PIT5 | RECAP | |||||||||
Fri, Dec 6 | PIT | @ | ANA | PIT4,ANA6 | RECAP | |||||||||
Sun, Dec 8 | TAM | @ | PIT | TAM4,PIT5 | RECAP | |||||||||
Tue, Dec 10 | PIT | @ | WAS | PIT3,WAS5 | RECAP | |||||||||
Thu, Dec 12 | PIT | @ | BUF | PIT4,BUF3 (OT) | RECAP | |||||||||
Sat, Dec 14 | BUF | @ | PIT | BUF1,PIT2 (SO) | RECAP | |||||||||
Mon, Dec 16 | SEA | @ | PIT | SEA2,PIT3 (SO) | RECAP | |||||||||
Wed, Dec 18 | PIT | @ | PHI | PIT4,PHI2 | RECAP | |||||||||
Thu, Dec 19 | PIT | @ | LOS | PIT1,LOS0 (OT) | RECAP | |||||||||
Sun, Dec 22 | CAL | @ | PIT | CAL2,PIT1 (OT) | RECAP | |||||||||
Tue, Dec 24 | PIT | @ | TOR | PIT0,TOR4 | RECAP | |||||||||
Thu, Dec 26 | NAS | @ | PIT | NAS6,PIT2 | RECAP | |||||||||
Sat, Dec 28 | WPG | @ | PIT | WPG3,PIT2 | RECAP | |||||||||
Mon, Dec 30 | PIT | @ | WPG | PIT0,WPG1 (OT) | RECAP | |||||||||
Wed, Jan 1 | EDM | @ | PIT | EDM1,PIT3 | RECAP | |||||||||
Fri, Jan 3 | PIT | @ | NAS | PIT2,NAS4 | RECAP | |||||||||
Sat, Jan 4 | PIT | @ | EDM | PIT4,EDM2 | RECAP | |||||||||
Mon, Jan 6 | MTL | @ | PIT | MTL4,PIT3 (SO) | RECAP | |||||||||
Wed, Jan 8 | PIT | @ | DAL | PIT5,DAL2 | RECAP | |||||||||
Fri, Jan 10 | WAS | @ | PIT | WAS1,PIT6 | RECAP | |||||||||
Mon, Jan 13 | FLO | @ | PIT | FLO5,PIT6 | RECAP | |||||||||
Wed, Jan 15 | LOS | @ | PIT | LOS0,PIT6 | RECAP | |||||||||
Fri, Jan 17 | PIT | @ | VAN | PIT4,VAN2 | RECAP | |||||||||
Sat, Jan 18 | PIT | @ | CLB | PIT2,CLB6 | RECAP | |||||||||
Mon, Jan 20 | MIN | @ | PIT | MIN1,PIT0 | RECAP | |||||||||
Thu, Jan 23 | S J | @ | PIT | S J0,PIT2 | RECAP | |||||||||
Sat, Jan 25 | PIT | @ | CHI | PIT0,CHI1 (SO) | RECAP | |||||||||
Mon, Jan 27 | ANA | @ | PIT | ANA0,PIT1 | RECAP | |||||||||
Wed, Jan 29 | PIT | @ | NYI | |||||||||||
Thu, Jan 30 | PIT | @ | SEA | |||||||||||
Sat, Feb 1 | NYI | @ | PIT | |||||||||||
Tue, Feb 4 | PHI | @ | PIT | |||||||||||
Thu, Feb 6 | PIT | @ | S J | |||||||||||
Sat, Feb 8 | STL | @ | PIT | |||||||||||
Mon, Feb 10 | PIT | @ | CAL | |||||||||||
Wed, Feb 12 | NYI | @ | PIT | |||||||||||
Fri, Feb 14 | PIT | @ | MTL | |||||||||||
Sun, Feb 16 | EDM | @ | PIT | |||||||||||
Tue, Feb 18 | PIT | @ | NYR | |||||||||||
Thu, Feb 20 | PIT | @ | NJD | |||||||||||
Fri, Feb 21 | OTT | @ | PIT | |||||||||||
Mon, Feb 24 | PIT | @ | PHO | |||||||||||
Wed, Feb 26 | BOS | @ | PIT | |||||||||||
Thu, Feb 27 | PIT | @ | MIN | |||||||||||
Sat, Mar 1 | NYR | @ | PIT | |||||||||||
Wed, Mar 5 | PHO | @ | PIT | |||||||||||
Sun, Mar 9 | DET | @ | PIT | |||||||||||
Tue, Mar 11 | PIT | @ | FLO | |||||||||||
Thu, Mar 13 | PIT | @ | NYI | |||||||||||
Fri, Mar 14 | CLB | @ | PIT | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Mar 17 | PIT | @ | BOS | |||||||||||
Thu, Mar 20 | NJD | @ | PIT | |||||||||||
Fri, Mar 21 | PIT | @ | DET | |||||||||||
Mon, Mar 24 | TOR | @ | PIT | |||||||||||
Tue, Mar 25 | PIT | @ | FLO | |||||||||||
Thu, Mar 27 | PIT | @ | CAL |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,292,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Wilkes-Barre/Scranton | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
13 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,292,500$ | 3,292,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,435,284$ | 0$ | 2,112,753$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 87 | 22,441$ | 1,346,460$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,346,460$ | 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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