![]() | Wilkes-Barre/Scranton Penguins 44-30-8, 96pts · 10th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Shane Wright | 0 | C/LW | 100.00 | 68 | 40 | 83 | 79 | 74 | 74 | 71 | 75 | 59 | 72 | 72 | 68 | 75 | 56 | 50 | 1 | 50 | 69 | 21 | 975,000$/2yrs | |||
Rasmus Kupari | 0 | C/RW | 100.00 | 74 | 41 | 87 | 74 | 83 | 80 | 80 | 69 | 77 | 63 | 64 | 70 | 69 | 68 | 58 | 1 | 50 | 69 | 25 | 2,000,000$/2yrs | |||
Gage Goncalves | 0 | C/RW | 100.00 | 69 | 41 | 81 | 73 | 71 | 76 | 71 | 71 | 52 | 70 | 64 | 66 | 69 | 55 | 50 | 1 | 50 | 66 | 24 | 1,500,000$/4yrs | |||
Valtteri Puustinen | 0 | LW/RW | 100.00 | 59 | 40 | 78 | 69 | 64 | 71 | 68 | 67 | 43 | 66 | 61 | 59 | 65 | 59 | 50 | 1 | 50 | 63 | 26 | 1,500,000$/2yrs | |||
Bokondji Imama | 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$/2yrs | |||
Cal O'Reilly | 0 | C | 100.00 | 53 | 40 | 74 | 64 | 58 | 65 | 65 | 62 | 62 | 64 | 55 | 59 | 60 | 75 | 68 | 1 | 50 | 61 | 38 | 1,000,000$/2yrs | |||
Jared Davidson | 0 | C | 100.00 | 64 | 43 | 65 | 69 | 63 | 62 | 60 | 63 | 43 | 59 | 60 | 63 | 64 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/2yrs | |||
Chase Wheatcroft | 0 | C | 100.00 | 60 | 42 | 70 | 65 | 63 | 64 | 62 | 60 | 42 | 60 | 55 | 58 | 60 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
Scott Sabourin | 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$/1yrs | |||
Brendan Furry | 0 | C/LW/RW | 100.00 | 61 | 43 | 67 | 63 | 64 | 67 | 65 | 60 | 42 | 56 | 55 | 58 | 59 | 53 | 50 | 1 | 50 | 58 | 26 | 975,000$/1yrs | |||
Ben Steeves | 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$/2yrs | |||
Braeden Bowman | 0 | C/LW/RW | 100.00 | 60 | 41 | 68 | 62 | 62 | 62 | 61 | 61 | 42 | 61 | 57 | 57 | 61 | 50 | 50 | 1 | 50 | 58 | 22 | 1,100,000$/4yrs | |||
Phil Kemp | 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$/4yrs | |||
Artem Grushnikov | 0 | D | 100.00 | 62 | 42 | 69 | 63 | 66 | 63 | 62 | 59 | 40 | 52 | 53 | 62 | 59 | 50 | 50 | 1 | 50 | 59 | 22 | 1,000,000$/2yrs | |||
Christoffer Sedoff | 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$/2yrs | |||
Braden Haché | 0 | D | 100.00 | 64 | 48 | 57 | 62 | 64 | 60 | 58 | 58 | 40 | 55 | 55 | 64 | 58 | 50 | 50 | 1 | 50 | 59 | 22 | 1,000,000$/2yrs | |||
Chad Nychuk | 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$/4yrs | |||
Adam McCormick | 0 | D | 100.00 | 59 | 40 | 66 | 62 | 61 | 61 | 58 | 55 | 40 | 53 | 53 | 61 | 57 | 52 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Alex Doucet | 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$/2yrs | |||
Daniel D'Amato | 0 | C/LW/RW | 100.00 | 56 | 43 | 68 | 65 | 59 | 65 | 63 | 60 | 42 | 54 | 55 | 53 | 60 | 52 | 50 | 1 | 50 | 57 | 24 | 1,000,000$/2yrs | |||
Aatu Jamsen | 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$/2yrs | |||
Alex Swetlikoff | 0 | C/LW/RW | 100.00 | 61 | 41 | 71 | 61 | 66 | 62 | 60 | 58 | 41 | 53 | 53 | 53 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/1yrs | |||
Anthony Romano | 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$/1yrs | |||
Brennan Saulnier | 0 | LW | 100.00 | 54 | 59 | 54 | 63 | 59 | 68 | 67 | 57 | 46 | 52 | 52 | 54 | 58 | 65 | 55 | 1 | 50 | 56 | 31 | 1,000,000$/2yrs | |||
Alex Campbell | 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$/2yrs | |||
Brett Budgell | 0 | C/LW/RW | 100.00 | 60 | 41 | 69 | 63 | 62 | 61 | 58 | 55 | 40 | 52 | 51 | 55 | 56 | 52 | 50 | 1 | 50 | 55 | 24 | 975,000$/1yrs | |||
Braeden Kressler | 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$/2yrs | |||
Emmitt Finnie (R) | 0 | C | 100.00 | 61 | 40 | 66 | 60 | 62 | 55 | 53 | 56 | 48 | 54 | 54 | 54 | 57 | 50 | 50 | 1 | 50 | 55 | 20 | 845,000$/2yrs | |||
Chris Harpur | 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$/2yrs | |||
Chris Jandric | 0 | D | 100.00 | 55 | 40 | 66 | 65 | 57 | 63 | 60 | 53 | 40 | 52 | 51 | 60 | 56 | 53 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/2yrs | |||
Artur Cholach | 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$/2yrs | |||
Christian Krygier | 0 | D | 100.00 | 58 | 40 | 66 | 61 | 62 | 61 | 58 | 55 | 40 | 54 | 53 | 59 | 57 | 52 | 50 | 1 | 50 | 57 | 25 | 1,000,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michael DiPietro | 0 | 100.00 | 74 | 65 | 69 | 65 | 71 | 72 | 74 | 73 | 73 | 71 | 59 | 54 | 50 | 1 | 50 | 65 | 26 | 1,600,000$/2yrs |
Drew Commesso | 0 | 100.00 | 72 | 63 | 67 | 63 | 69 | 71 | 74 | 71 | 72 | 69 | 57 | 50 | 50 | 1 | 50 | 63 | 22 | 975,000$/2yrs |
| Scratches | ||||||||||||||||||||
Ethan Haider | 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 |
|---|
| 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 | Gage Goncalves | Penguins (PIT) | C/RW | 85 | 44 | 56 | 100 | -4 | 23 | 15 | 126 | 345 | 73 | 172 | 12.75% | 57 | 23.30 | 12 | 19 | 31 | 1 | 2 | 3 | 169 | 7 | 1 | 49.61% | 0 | 0 | 1.18 | 3 | 8 | 1.15 | |||
| 2 | Rasmus Kupari | Penguins (PIT) | C/RW | 82 | 34 | 60 | 94 | 6 | 68 | 30 | 117 | 329 | 104 | 204 | 10.33% | 39 | 20.93 | 7 | 15 | 22 | 1 | 1 | 2 | 181 | 2 | 1 | 61.45% | 3 | 1 | 1.15 | 5 | 11 | 1.11 | |||
| 3 | Valtteri Puustinen | Penguins (PIT) | LW/RW | 82 | 31 | 43 | 74 | -15 | 26 | 20 | 138 | 278 | 100 | 193 | 11.15% | 31 | 19.51 | 6 | 11 | 17 | 1 | 3 | 4 | 124 | 6 | 1 | 38.89% | 1 | 0 | 0.90 | 2 | 10 | 0.88 | |||
| 4 | Shane Wright | Penguins (PIT) | C/LW | 84 | 31 | 38 | 69 | -19 | 24 | 10 | 96 | 261 | 90 | 149 | 11.88% | 43 | 22.60 | 9 | 15 | 24 | 1 | 1 | 2 | 131 | 6 | 3 | 56.39% | 0 | 0 | 0.82 | 5 | 12 | 0.77 | |||
| 5 | Bokondji Imama | Penguins (PIT) | LW | 82 | 27 | 24 | 51 | 13 | 111 | 45 | 197 | 179 | 59 | 138 | 15.08% | 26 | 17.06 | 5 | 3 | 8 | 0 | 0 | 0 | 45 | 3 | 0 | 52.94% | 0 | 0 | 0.62 | 2 | 9 | 0.53 | |||
| 6 | Cal O'Reilly | Penguins (PIT) | C | 82 | 20 | 29 | 49 | 11 | 39 | 15 | 133 | 185 | 69 | 138 | 10.81% | 27 | 17.58 | 1 | 4 | 5 | 1 | 0 | 1 | 73 | 4 | 1 | 55.49% | 0 | 0 | 0.60 | 1 | 3 | 0.64 | |||
| 7 | Jared Davidson | Penguins (PIT) | C | 74 | 16 | 21 | 37 | 12 | 13 | 5 | 115 | 161 | 44 | 92 | 9.94% | 25 | 13.96 | 3 | 3 | 6 | 0 | 0 | 0 | 21 | 4 | 1 | 45.41% | 0 | 0 | 0.50 | 0 | 1 | 0.60 | |||
| 8 | Chase Wheatcroft | Penguins (PIT) | C | 72 | 13 | 23 | 36 | 4 | 41 | 15 | 90 | 118 | 26 | 74 | 11.02% | 19 | 14.91 | 1 | 7 | 8 | 0 | 0 | 0 | 6 | 3 | 0 | 45.77% | 0 | 0 | 0.50 | 0 | 1 | 0.42 | |||
| 9 | Phil Kemp | Penguins (PIT) | D | 76 | 8 | 28 | 36 | -6 | 78 | 30 | 189 | 123 | 43 | 56 | 6.50% | 117 | 25.36 | 4 | 3 | 7 | 0 | 1 | 1 | 156 | 2 | 2 | 0.00% | 1 | 0 | 0.47 | 0 | 1 | 0.36 | |||
| 10 | Ben Steeves | Penguins (PIT) | LW | 82 | 12 | 21 | 33 | 9 | 36 | 20 | 99 | 157 | 50 | 92 | 7.64% | 14 | 12.17 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 3 | 1 | 53.85% | 0 | 0 | 0.40 | 1 | 1 | 0.45 | |||
| 11 | Scott Sabourin | Penguins (PIT) | RW | 82 | 12 | 16 | 28 | 11 | 111 | 45 | 127 | 125 | 35 | 91 | 9.60% | 15 | 14.56 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 2 | 0 | 44.90% | 0 | 0 | 0.34 | 1 | 1 | 0.23 | |||
| 12 | Artem Grushnikov | Penguins (PIT) | D | 79 | 4 | 22 | 26 | -1 | 75 | 25 | 118 | 95 | 59 | 44 | 4.21% | 106 | 24.32 | 2 | 5 | 7 | 0 | 0 | 0 | 160 | 0 | 1 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.24 | |||
| 13 | Brendan Furry | Penguins (PIT) | C/LW/RW | 82 | 12 | 12 | 24 | 13 | 21 | 15 | 112 | 137 | 51 | 69 | 8.76% | 17 | 13.31 | 1 | 0 | 1 | 0 | 0 | 0 | 38 | 1 | 0 | 40.91% | 0 | 0 | 0.29 | 0 | 0 | 0.40 | |||
| 14 | Braeden Bowman | Penguins (PIT) | C/LW/RW | 70 | 14 | 8 | 22 | 8 | 30 | 10 | 82 | 89 | 30 | 55 | 15.73% | 14 | 9.94 | 2 | 0 | 2 | 0 | 0 | 0 | 10 | 4 | 0 | 47.46% | 0 | 0 | 0.31 | 0 | 0 | 0.34 | |||
| 15 | Christoffer Sedoff | Penguins (PIT) | D | 78 | 2 | 17 | 19 | 4 | 36 | 10 | 84 | 76 | 26 | 41 | 2.63% | 55 | 19.02 | 1 | 2 | 3 | 0 | 0 | 0 | 126 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.23 | |||
| 16 | Chris Harpur | Penguins (PIT) | D | 72 | 4 | 14 | 18 | -18 | 27 | 5 | 114 | 72 | 28 | 38 | 5.56% | 68 | 21.70 | 0 | 1 | 1 | 0 | 0 | 0 | 123 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.17 | |||
| 17 | Chad Nychuk | Penguins (PIT) | D | 82 | 2 | 13 | 15 | 27 | 29 | 15 | 58 | 57 | 16 | 29 | 3.51% | 46 | 15.29 | 0 | 1 | 1 | 0 | 0 | 0 | 28 | 1 | 0 | 0.00% | 1 | 0 | 0.18 | 0 | 0 | 0.26 | |||
| 18 | Daniel D'Amato | Penguins (PIT) | C/LW/RW | 62 | 5 | 10 | 15 | 0 | 7 | 5 | 48 | 100 | 30 | 57 | 5.00% | 7 | 9.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 0 | 0 | 0.24 | 0 | 0 | 0.32 | |||
| 19 | Alex Doucet | Penguins (PIT) | LW | 65 | 7 | 6 | 13 | 2 | 6 | 0 | 90 | 72 | 20 | 46 | 9.72% | 10 | 11.08 | 0 | 1 | 1 | 0 | 0 | 0 | 56 | 1 | 0 | 49.02% | 0 | 0 | 0.20 | 0 | 0 | 0.27 | |||
| 20 | Braden Haché | Penguins (PIT) | D | 82 | 3 | 9 | 12 | 29 | 24 | 0 | 97 | 51 | 22 | 13 | 5.88% | 48 | 15.50 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0.15 | 0 | 0 | 0.26 | |||
| 21 | Aatu Jamsen | Penguins (PIT) | C/LW/RW | 28 | 1 | 4 | 5 | -3 | 2 | 0 | 31 | 30 | 21 | 26 | 3.33% | 7 | 12.42 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 43.79% | 0 | 0 | 0.18 | 0 | 0 | 0.20 | |||
| 22 | Adam McCormick | Penguins (PIT) | D | 31 | 0 | 4 | 4 | 10 | 18 | 0 | 22 | 19 | 7 | 1 | 0.00% | 19 | 14.97 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 50.00% | 0 | 0 | 0.13 | 0 | 0 | 0.18 | |||
| 23 | Chris Jandric | Penguins (PIT) | D | 8 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 2 | 100.00% | 1 | 6.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.16 | |||
| 24 | Artur Cholach | Penguins (PIT) | D | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 25 | Christian Krygier | Penguins (PIT) | 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 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 26 | Brennan Saulnier | Penguins (PIT) | LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 0 | 8.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| Team Total or Average | 1635 | 303 | 478 | 781 | 94 | 845 | 335 | 2283 | 3060 | 1006 | 1821 | 9.90% | 811 | 16.96 | 57 | 94 | 151 | 1679 | 5 | 8 | 13 | 1566 | 49 | 12 | 52.17% | 5946 | 722 | 470 | 6 | 1 | 0.56 | 20 | 58 |
| 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 | Penguins (PIT) | 77 | 42 | 26 | 6 | 0.885 | 2.68 | 4439 | 2 | 7 | 198 | 1725 | 880 | 6 | 4 | 0.703 | 37 | 77 | 5 | 2 | 3 | 4 |
| 2 | Drew Commesso | Penguins (PIT) | 13 | 2 | 4 | 2 | 0.881 | 3.26 | 534 | 2 | 0 | 29 | 244 | 135 | 0 | 0 | 0.800 | 5 | 5 | 77 | 0 | 0 | 1 |
| Team Total or Average | 90 | 44 | 30 | 8 | 0.885 | 2.74 | 4973 | 4 | 7 | 227 | 1969 | 1015 | 6 | 4 | 0.714 | 42 | 82 | 82 | 2 | 3 | 5 |
| 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 Bowman | C/LW/RW | 22 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||
| Braeden Kressler | C | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| 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$ | ||||||
| Emmitt Finnie | C | 20 | 845,000$ | 975,000$ | 975,000$ | RFA | |||||
| Ethan Haider | G | 23 | 975,000$ | 975,000$ | |||||||
| Gage Goncalves | C/RW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Jared Davidson | C | 22 | 975,000$ | 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$ | UFA | |||||
| Scott Sabourin | RW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Shane Wright | C/LW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Valtteri Puustinen | LW/RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
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| Priority | Type | Description |
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| 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 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 4 | 1.000 | 4 | 4 | 8 | 0 | 2 | 51 | 103 | 95 | 16 | 50 | 760 | 962 | 919 | 61 | 14 | 8 | 6 | 62 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 100.0% | 8.0% | 100.0% | 108.0 | DULL |
| 2 | Moose | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 51 | 103 | 95 | 16 | 54 | 760 | 962 | 919 | 61 | 31 | 11 | 31 | 49 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 71.4% | 11.1% | 90.3% | 101.4 | FUN |
| 3 | Bruins | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 18 | 17 | 1 | 6 | 0.750 | 18 | 32 | 50 | 0 | 0 | 51 | 103 | 95 | 16 | 142 | 760 | 962 | 919 | 61 | 102 | 37 | 66 | 87 | 9 | 3 | 33.33% | 8 | 1 | 87.50% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 48.4% | 12.7% | 83.3% | 96.0 | FUN |
| 4 | Americans | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 51 | 103 | 95 | 16 | 73 | 760 | 962 | 919 | 61 | 30 | 18 | 22 | 53 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 1 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 53.8% | 9.6% | 73.3% | 82.9 | FUN |
| 5 | Heat | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 51 | 103 | 95 | 16 | 76 | 760 | 962 | 919 | 61 | 30 | 9 | 27 | 59 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 88.9% | 10.5% | 96.7% | 107.2 | LUCKY |
| 6 | Wolves | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 21 | -12 | 0 | 0.000 | 9 | 15 | 24 | 0 | 0 | 51 | 103 | 95 | 16 | 109 | 760 | 962 | 919 | 61 | 137 | 57 | 83 | 89 | 7 | 2 | 28.57% | 14 | 4 | 71.43% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 29.2% | 8.3% | 84.7% | 92.9 | Unlucky |
| 7 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 51 | 103 | 95 | 16 | 69 | 760 | 962 | 919 | 61 | 74 | 26 | 52 | 45 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 41.7% | 7.2% | 87.8% | 95.1 | Unlucky |
| 8 | Eagles | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 5 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 51 | 103 | 95 | 16 | 45 | 760 | 962 | 919 | 61 | 27 | 8 | 9 | 30 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 37.5% | 6.7% | 81.5% | 88.1 | Unlucky |
| 9 | Monsters | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 11 | -1 | 2 | 0.500 | 10 | 16 | 26 | 0 | 0 | 51 | 103 | 95 | 16 | 77 | 760 | 962 | 919 | 61 | 60 | 26 | 8 | 46 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 47.4% | 13.0% | 81.7% | 94.7 | FUN |
| 10 | Stars | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 18 | 21 | -3 | 5 | 0.417 | 18 | 34 | 52 | 0 | 0 | 51 | 103 | 95 | 16 | 205 | 760 | 962 | 919 | 61 | 145 | 53 | 65 | 130 | 15 | 3 | 20.00% | 15 | 3 | 80.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 45.5% | 8.8% | 85.5% | 94.3 | Unlucky |
| 11 | Griffins | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 51 | 103 | 95 | 16 | 60 | 760 | 962 | 919 | 61 | 74 | 35 | 24 | 45 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 36.4% | 8.3% | 89.2% | 97.5 | Unlucky |
| 12 | Condors | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | -3 | 1 | 0.250 | 1 | 2 | 3 | 1 | 0 | 51 | 103 | 95 | 16 | 56 | 760 | 962 | 919 | 61 | 46 | 15 | 12 | 36 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 20.0% | 1.8% | 91.3% | 93.1 | DULL |
| 13 | Checkers 1 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 9 | 12 | -3 | 3 | 0.375 | 9 | 15 | 24 | 0 | 0 | 51 | 103 | 95 | 16 | 155 | 760 | 962 | 919 | 61 | 75 | 26 | 20 | 97 | 11 | 3 | 27.27% | 10 | 2 | 80.00% | 1 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 37.5% | 5.8% | 84.0% | 89.8 | Unlucky |
| 14 | Reign | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 10 | 18 | 0 | 0 | 51 | 103 | 95 | 16 | 79 | 760 | 962 | 919 | 61 | 70 | 31 | 14 | 54 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 53.3% | 10.1% | 87.1% | 97.3 | FUN |
| 15 | Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 11 | 18 | 0 | 1 | 51 | 103 | 95 | 16 | 70 | 760 | 962 | 919 | 61 | 32 | 12 | 13 | 62 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 85.7% | 10.0% | 96.9% | 106.9 | LUCKY |
| 16 | Rocket | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 51 | 103 | 95 | 16 | 63 | 760 | 962 | 919 | 61 | 31 | 12 | 13 | 53 | 5 | 3 | 60.00% | 4 | 0 | 100.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 75.0% | 14.3% | 93.5% | 107.8 | LUCKY |
| 17 | Admirals | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 51 | 103 | 95 | 16 | 60 | 760 | 962 | 919 | 61 | 40 | 24 | 16 | 67 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 1 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 50.0% | 6.7% | 90.0% | 96.7 | Unlucky |
| 18 | Comets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 1 | 51 | 103 | 95 | 16 | 53 | 760 | 962 | 919 | 61 | 22 | 4 | 19 | 66 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 66.7% | 9.4% | 86.4% | 95.8 | FUN |
| 19 | Islanders | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 15 | 10 | 5 | 5 | 0.625 | 15 | 25 | 40 | 0 | 0 | 51 | 103 | 95 | 16 | 105 | 760 | 962 | 919 | 61 | 96 | 29 | 34 | 111 | 9 | 3 | 33.33% | 7 | 2 | 71.43% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 60.0% | 14.3% | 89.6% | 103.9 | FUN |
| 20 | Wolf Pack | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 13 | -1 | 4 | 0.500 | 12 | 18 | 30 | 0 | 0 | 51 | 103 | 95 | 16 | 134 | 760 | 962 | 919 | 61 | 126 | 32 | 48 | 86 | 13 | 3 | 23.08% | 19 | 4 | 78.95% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 50.0% | 9.0% | 89.7% | 98.6 | FUN |
| 21 | Belleville Senators | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 51 | 103 | 95 | 16 | 63 | 760 | 962 | 919 | 61 | 52 | 21 | 9 | 73 | 7 | 5 | 71.43% | 2 | 0 | 100.00% | 1 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 33.3% | 12.7% | 88.5% | 101.2 | FUN |
| 22 | Phantoms | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 9 | 4 | 6 | 0.750 | 13 | 23 | 36 | 1 | 0 | 51 | 103 | 95 | 16 | 136 | 760 | 962 | 919 | 61 | 68 | 29 | 15 | 117 | 14 | 2 | 14.29% | 5 | 1 | 80.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 57.9% | 9.6% | 86.8% | 96.3 | FUN |
| 23 | Roadrunners | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 2 | 1 | 3 | 0.750 | 3 | 4 | 7 | 0 | 1 | 51 | 103 | 95 | 16 | 64 | 760 | 962 | 919 | 61 | 34 | 18 | 12 | 39 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 75.0% | 4.7% | 94.1% | 98.8 | DULL |
| 24 | Barracuda | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 51 | 103 | 95 | 16 | 83 | 760 | 962 | 919 | 61 | 40 | 15 | 18 | 64 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 44.4% | 6.0% | 87.5% | 93.5 | Unlucky |
| 25 | Thunderbirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 51 | 103 | 95 | 16 | 82 | 760 | 962 | 919 | 61 | 79 | 36 | 19 | 45 | 6 | 2 | 33.33% | 7 | 2 | 71.43% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 66.7% | 14.6% | 91.1% | 105.8 | Unlucky |
| 26 | Crunch | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 51 | 103 | 95 | 16 | 44 | 760 | 962 | 919 | 61 | 31 | 12 | 6 | 58 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 37.5% | 9.1% | 80.6% | 89.7 | FUN |
| 27 | Marlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 1 | 0 | 51 | 103 | 95 | 16 | 57 | 760 | 962 | 919 | 61 | 80 | 23 | 14 | 49 | 5 | 2 | 40.00% | 7 | 2 | 71.43% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 45.5% | 12.3% | 90.0% | 102.3 | FUN |
| 28 | Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 1 | 0 | 51 | 103 | 95 | 16 | 77 | 760 | 962 | 919 | 61 | 65 | 21 | 19 | 44 | 3 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 45.5% | 6.5% | 84.6% | 91.1 | Unlucky |
| 29 | Hershey Bears | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 13 | 7 | 6 | 6 | 0.750 | 13 | 18 | 31 | 0 | 1 | 51 | 103 | 95 | 16 | 118 | 760 | 962 | 919 | 61 | 97 | 39 | 43 | 113 | 10 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 72.2% | 11.0% | 92.8% | 103.8 | LUCKY |
| 30 | Silver Knights | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 51 | 103 | 95 | 16 | 68 | 760 | 962 | 919 | 61 | 45 | 16 | 18 | 52 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 62.5% | 8.8% | 91.1% | 99.9 | Unlucky |
| 31 | Checkers 2 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 6 | 0.750 | 19 | 31 | 50 | 0 | 0 | 51 | 103 | 95 | 16 | 134 | 760 | 962 | 919 | 61 | 120 | 40 | 50 | 109 | 9 | 3 | 33.33% | 10 | 5 | 50.00% | 0 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 76.2% | 14.2% | 91.7% | 105.8 | LUCKY |
| _Vs Division | 20 | 11 | 12 | 0 | 1 | 2 | 2 | 0 | 67 | 67 | 0 | 30 | 0.750 | 67 | 111 | 178 | 1 | 0 | 51 | 103 | 95 | 16 | 657 | 760 | 962 | 919 | 61 | 475 | 184 | 174 | 515 | 52 | 18 | 34.62% | 47 | 9 | 80.85% | 3 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 45.8% | 10.2% | 85.9% | 96.1 | FUN | |
| _Vs Conference | 44 | 16 | 20 | 0 | 2 | 2 | 4 | 0 | 144 | 143 | 1 | 46 | 0.523 | 144 | 233 | 377 | 3 | 2 | 51 | 103 | 95 | 16 | 1406 | 760 | 962 | 919 | 61 | 1072 | 386 | 419 | 1142 | 113 | 29 | 25.66% | 112 | 27 | 75.89% | 3 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 49.8% | 10.2% | 86.7% | 96.9 | FUN | |
| _Since Last GM Reset | 82 | 35 | 30 | 0 | 3 | 3 | 6 | 5 | 258 | 236 | 22 | 96 | 0.585 | 258 | 414 | 672 | 4 | 7 | 51 | 103 | 95 | 16 | 2661 | 760 | 962 | 919 | 61 | 1973 | 743 | 805 | 2090 | 189 | 43 | 22.75% | 209 | 46 | 77.99% | 4 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 53.1% | 9.7% | 88.0% | 97.7 | FUN | |
| Total | 82 | 35 | 30 | 0 | 3 | 3 | 6 | 5 | 258 | 236 | 22 | 96 | 0.585 | 258 | 414 | 672 | 4 | 7 | 51 | 103 | 95 | 16 | 2661 | 760 | 962 | 919 | 61 | 1973 | 743 | 805 | 2090 | 189 | 43 | 22.75% | 209 | 46 | 77.99% | 4 | 909 | 1731 | 52.51% | 814 | 1474 | 55.22% | 557 | 1098 | 50.73% | 1727 | 920 | 1535 | 838 | 1716 | 801 | 53.1% | 9.7% | 88.0% | 97.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 20 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1731 |
| Neutral Zone Start | 1098 |
| Defensive Zone Start | 1474 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2280 |
| Faceoffs Lost | 2023 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.3 | 9.57 |
| 2nd Period | 21.0 | 20.31 |
| 3rd Period | 32.2 | 30.68 |
| Overtime | 33.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 3.0 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 207 |
|---|---|
| PP Goal | 43 |
| PK Goal | 4 |
| Empty Net Goal | 4 |
| Home | Away | |
|---|---|---|
| Win | 25 | 19 |
| Lost | 13 | 17 |
| Overtime Lost | 3 | 5 |
| PP Attempt | 189 |
|---|---|
| PP Goal | 43 |
| PK Attempt | 209 |
| PK Goal Against | 46 |
| Home | |
|---|---|
| Shots For | 32.5 |
| Shots Against | 24.1 |
| Goals For | 3.1 |
| Goals Against | 2.9 |
| Hits | 25.5 |
| Shots Blocked | 9.1 |
| Pim | 9.8 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,762,500$ | 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 |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,762,500$ | 3,762,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,931,738$ | 0$ | 3,431,733$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 25,222$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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