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Full Scoreboard »» |
![]() | Wilkes-Barre/Scranton Penguins 14-10-5, 33pts · 11th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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$/2yrs | |||
Valtteri Puustinen | 0 | LW/RW | 100.00 | 59 | 40 | 78 | 69 | 64 | 71 | 68 | 67 | 43 | 66 | 61 | 59 | 65 | 59 | 50 | 1 | 50 | 63 | 26 | 1,500,000$/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 | |||
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 | |||
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 | |||
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$/2yrs | |||
Christoffer Sedoff | 0 | D | 100.00 | 61 | 42 | 69 | 63 | 67 | 64 | 62 | 61 | 40 | 56 | 54 | 60 | 59 | 51 | 50 | 1 | 50 | 59 | 23 | 1,000,000$/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 | |||
| Scratches | ||||||||||||||||||||||||||
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$/2yrs | |||
Adam McCormick | 0 | D | 100.00 | 59 | 40 | 66 | 62 | 61 | 61 | 58 | 55 | 40 | 53 | 53 | 61 | 57 | 52 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/2yrs | |||
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$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michael DiPietro | 0 | 99.00 | 74 | 65 | 69 | 65 | 71 | 72 | 74 | 73 | 73 | 71 | 59 | 54 | 50 | 1 | 50 | 65 | 26 | 1,600,000$/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 | Rasmus Kupari | Penguins (PIT) | C/RW | 29 | 11 | 24 | 35 | 14 | 5 | 5 | 37 | 103 | 33 | 64 | 10.68% | 13 | 19.46 | 2 | 5 | 7 | 1 | 1 | 2 | 60 | 1 | 0 | 61.07% | 0 | 0 | 1.21 | 2 | 5 | 1.34 | |||
| 2 | Valtteri Puustinen | Penguins (PIT) | LW/RW | 29 | 15 | 18 | 33 | 1 | 19 | 15 | 41 | 133 | 45 | 72 | 11.28% | 14 | 20.59 | 1 | 6 | 7 | 0 | 2 | 2 | 30 | 5 | 1 | 34.48% | 1 | 0 | 1.14 | 2 | 4 | 1.16 | |||
| 3 | Chase Wheatcroft | Penguins (PIT) | C | 29 | 4 | 17 | 21 | -5 | 30 | 10 | 39 | 42 | 11 | 33 | 9.52% | 7 | 18.59 | 1 | 7 | 8 | 0 | 0 | 0 | 2 | 0 | 0 | 45.13% | 0 | 0 | 0.72 | 0 | 0 | 0.38 | |||
| 4 | Cal O'Reilly | Penguins (PIT) | C | 29 | 8 | 12 | 20 | 11 | 23 | 5 | 40 | 54 | 23 | 48 | 14.81% | 10 | 17.98 | 1 | 2 | 3 | 1 | 0 | 1 | 28 | 1 | 0 | 54.85% | 0 | 0 | 0.69 | 1 | 2 | 0.69 | |||
| 5 | Bokondji Imama | Penguins (PIT) | LW | 29 | 12 | 7 | 19 | 12 | 39 | 15 | 59 | 62 | 13 | 36 | 19.35% | 8 | 16.76 | 3 | 0 | 3 | 0 | 0 | 0 | 4 | 1 | 0 | 56.00% | 0 | 0 | 0.66 | 1 | 4 | 0.63 | |||
| 6 | Phil Kemp | Penguins (PIT) | D | 25 | 5 | 11 | 16 | 4 | 30 | 20 | 63 | 37 | 17 | 13 | 13.51% | 31 | 24.94 | 3 | 0 | 3 | 0 | 0 | 0 | 49 | 2 | 1 | 0.00% | 1 | 0 | 0.64 | 0 | 1 | 0.51 | |||
| 7 | Artem Grushnikov | Penguins (PIT) | D | 28 | 2 | 9 | 11 | 4 | 28 | 10 | 40 | 35 | 22 | 13 | 5.71% | 41 | 24.54 | 1 | 2 | 3 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 0 | 0.39 | 0 | 0 | 0.33 | |||
| 8 | Jared Davidson | Penguins (PIT) | C | 29 | 1 | 7 | 8 | 0 | 5 | 5 | 40 | 44 | 12 | 27 | 2.27% | 5 | 14.70 | 0 | 2 | 2 | 0 | 0 | 0 | 21 | 0 | 0 | 50.00% | 0 | 0 | 0.28 | 0 | 0 | 0.31 | |||
| 9 | Scott Sabourin | Penguins (PIT) | RW | 29 | 3 | 5 | 8 | 1 | 19 | 5 | 46 | 47 | 10 | 39 | 6.38% | 4 | 14.38 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 0 | 0 | 0.28 | 0 | 0 | 0.28 | |||
| 10 | Brendan Furry | Penguins (PIT) | C/LW/RW | 29 | 2 | 5 | 7 | 0 | 10 | 10 | 37 | 46 | 17 | 33 | 4.35% | 10 | 14.37 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 40.78% | 0 | 0 | 0.24 | 0 | 0 | 0.28 | |||
| 11 | Chris Harpur | Penguins (PIT) | D | 29 | 1 | 6 | 7 | -11 | 8 | 0 | 46 | 26 | 9 | 12 | 3.85% | 27 | 21.23 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.11 | |||
| 12 | Christoffer Sedoff | Penguins (PIT) | D | 25 | 2 | 5 | 7 | -4 | 6 | 0 | 22 | 22 | 7 | 14 | 9.09% | 22 | 17.87 | 1 | 2 | 3 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 0 | 0.22 | |||
| 13 | Ben Steeves | Penguins (PIT) | LW | 29 | 5 | 2 | 7 | -3 | 9 | 5 | 27 | 47 | 15 | 31 | 10.64% | 6 | 12.58 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 50.00% | 0 | 0 | 0.24 | 0 | 0 | 0.26 | |||
| 14 | Braden Haché | Penguins (PIT) | D | 29 | 1 | 5 | 6 | 11 | 6 | 0 | 35 | 15 | 11 | 5 | 6.67% | 24 | 16.38 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.34 | |||
| 15 | Braeden Bowman | Penguins (PIT) | C/LW/RW | 17 | 4 | 2 | 6 | 1 | 21 | 5 | 21 | 10 | 5 | 4 | 40.00% | 3 | 11.34 | 2 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 55.56% | 0 | 0 | 0.35 | 0 | 0 | 0.13 | |||
| 16 | Aatu Jamsen | Penguins (PIT) | C/LW/RW | 20 | 1 | 4 | 5 | 0 | 2 | 0 | 21 | 22 | 19 | 22 | 4.55% | 4 | 10.43 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 46.88% | 0 | 0 | 0.25 | 0 | 0 | 0.30 | |||
| 17 | Alex Doucet | Penguins (PIT) | LW | 27 | 3 | 2 | 5 | -7 | 0 | 0 | 30 | 24 | 8 | 21 | 12.50% | 1 | 10.98 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 61.54% | 0 | 0 | 0.19 | 0 | 0 | 0.15 | |||
| 18 | Daniel D'Amato | Penguins (PIT) | C/LW/RW | 23 | 3 | 2 | 5 | -4 | 5 | 5 | 24 | 35 | 15 | 25 | 8.57% | 3 | 9.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 0 | 0 | 0.22 | 0 | 0 | 0.23 | |||
| 19 | Chad Nychuk | Penguins (PIT) | D | 29 | 0 | 3 | 3 | 1 | 7 | 5 | 15 | 18 | 7 | 10 | 0.00% | 15 | 14.24 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | 0.12 | |||
| 20 | Adam McCormick | Penguins (PIT) | D | 14 | 0 | 1 | 1 | 4 | 10 | 0 | 15 | 11 | 4 | 0 | 0.00% | 6 | 17.05 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 0 | 0 | 0.07 | 0 | 0 | 0.12 | |||
| 21 | 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 | |||
| 22 | Artur Cholach | Penguins (PIT) | D | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 23 | 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 | |||
| 24 | 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 | 546 | 84 | 147 | 231 | 31 | 282 | 120 | 698 | 834 | 306 | 525 | 10.07% | 255 | 16.15 | 16 | 28 | 44 | 556 | 2 | 3 | 5 | 413 | 11 | 2 | 49.74% | 1552 | 208 | 136 | 2 | 0 | 0.52 | 6 | 16 |
| 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) | 26 | 13 | 8 | 4 | 0.892 | 2.62 | 1512 | 2 | 1 | 66 | 609 | 336 | 1 | 1 | 0.647 | 17 | 26 | 3 | 1 | 0 | 1 |
| 2 | Drew Commesso | Penguins (PIT) | 5 | 1 | 2 | 1 | 0.870 | 3.81 | 252 | 0 | 0 | 16 | 123 | 68 | 0 | 0 | 1.000 | 3 | 3 | 26 | 0 | 0 | 1 |
| Team Total or Average | 31 | 14 | 10 | 5 | 0.888 | 2.79 | 1764 | 2 | 1 | 82 | 732 | 404 | 1 | 1 | 0.700 | 20 | 29 | 29 | 1 | 0 | 2 |
| 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$ | 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$ | |||||||
| 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$ | ||||||
| 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 | Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 2 | 4 | 0 | 1 | 17 | 36 | 37 | 7 | 17 | 262 | 291 | 320 | 20 | 6 | 4 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 100.0% | 11.8% | 100.0% | 111.8 | LUCKY |
| 2 | Moose | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 17 | 36 | 37 | 7 | 54 | 262 | 291 | 320 | 20 | 31 | 11 | 31 | 49 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 71.4% | 11.1% | 90.3% | 101.4 | FUN |
| 3 | Bruins | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 6 | 5 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 17 | 36 | 37 | 7 | 74 | 262 | 291 | 320 | 20 | 47 | 18 | 23 | 49 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 60.0% | 14.9% | 87.2% | 102.1 | FUN |
| 4 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 17 | 36 | 37 | 7 | 66 | 262 | 291 | 320 | 20 | 77 | 31 | 40 | 36 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 26.3% | 10.6% | 80.5% | 91.1 | FUN |
| 5 | Eagles | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 17 | 36 | 37 | 7 | 11 | 262 | 291 | 320 | 20 | 15 | 5 | 2 | 7 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 33.3% | 9.1% | 86.7% | 95.8 | FUN |
| 6 | Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 17 | 36 | 37 | 7 | 36 | 262 | 291 | 320 | 20 | 32 | 12 | 4 | 23 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 42.9% | 8.3% | 84.4% | 92.7 | Unlucky |
| 7 | Stars | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 12 | -1 | 4 | 0.500 | 11 | 22 | 33 | 0 | 0 | 17 | 36 | 37 | 7 | 131 | 262 | 291 | 320 | 20 | 94 | 32 | 27 | 79 | 11 | 3 | 27.27% | 11 | 2 | 81.82% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 44.4% | 8.4% | 87.2% | 95.6 | Unlucky |
| 8 | Griffins | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 17 | 36 | 37 | 7 | 27 | 262 | 291 | 320 | 20 | 45 | 15 | 11 | 28 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 42.9% | 14.8% | 88.9% | 103.7 | FUN |
| 9 | Condors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 17 | 36 | 37 | 7 | 15 | 262 | 291 | 320 | 20 | 19 | 4 | 8 | 10 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 0.0% | 0.0% | 89.5% | 89.5 | Unlucky |
| 10 | Checkers 1 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 6 | 10 | -4 | 1 | 0.167 | 6 | 11 | 17 | 0 | 0 | 17 | 36 | 37 | 7 | 113 | 262 | 291 | 320 | 20 | 56 | 22 | 16 | 72 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 1 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 38.5% | 5.3% | 82.1% | 87.5 | Unlucky |
| 11 | Islanders | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 5 | 8 | 5 | 0.833 | 13 | 21 | 34 | 0 | 0 | 17 | 36 | 37 | 7 | 79 | 262 | 291 | 320 | 20 | 66 | 19 | 28 | 75 | 8 | 3 | 37.50% | 4 | 0 | 100.00% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 66.7% | 16.5% | 92.4% | 108.9 | LUCKY |
| 12 | Wolf Pack | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 17 | 36 | 37 | 7 | 32 | 262 | 291 | 320 | 20 | 39 | 12 | 10 | 23 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 50.0% | 9.4% | 94.9% | 104.2 | LUCKY |
| 13 | Belleville Senators | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 17 | 36 | 37 | 7 | 36 | 262 | 291 | 320 | 20 | 28 | 10 | 7 | 33 | 4 | 3 | 75.00% | 1 | 0 | 100.00% | 1 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 60.0% | 16.7% | 92.9% | 109.5 | LUCKY |
| 14 | Roadrunners | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 17 | 36 | 37 | 7 | 27 | 262 | 291 | 320 | 20 | 25 | 11 | 4 | 18 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 50.0% | 3.7% | 92.0% | 95.7 | DULL |
| 15 | Hershey Bears | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 14 | 25 | 0 | 0 | 17 | 36 | 37 | 7 | 92 | 262 | 291 | 320 | 20 | 88 | 35 | 39 | 83 | 10 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 68.8% | 12.0% | 92.0% | 104.0 | LUCKY |
| 16 | Checkers 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 17 | 36 | 37 | 7 | 64 | 262 | 291 | 320 | 20 | 65 | 19 | 17 | 61 | 5 | 1 | 20.00% | 6 | 4 | 33.33% | 0 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 70.0% | 12.5% | 89.2% | 101.7 | FUN |
| _Vs Division | 7 | 5 | 5 | 0 | 0 | 2 | 2 | 0 | 27 | 23 | 4 | 16 | 1.143 | 27 | 46 | 73 | 0 | 0 | 17 | 36 | 37 | 7 | 250 | 262 | 291 | 320 | 20 | 176 | 65 | 57 | 182 | 19 | 7 | 36.84% | 16 | 3 | 81.25% | 2 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 50.0% | 10.8% | 86.9% | 97.7 | FUN | |
| _Vs Conference | 16 | 6 | 6 | 0 | 0 | 2 | 2 | 0 | 60 | 52 | 8 | 18 | 0.563 | 60 | 99 | 159 | 0 | 0 | 17 | 36 | 37 | 7 | 528 | 262 | 291 | 320 | 20 | 433 | 159 | 167 | 394 | 45 | 12 | 26.67% | 36 | 6 | 83.33% | 2 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 51.1% | 11.4% | 88.0% | 99.4 | FUN | |
| _Since Last GM Reset | 29 | 11 | 10 | 0 | 0 | 3 | 3 | 2 | 93 | 85 | 8 | 33 | 0.569 | 93 | 153 | 246 | 1 | 1 | 17 | 36 | 37 | 7 | 874 | 262 | 291 | 320 | 20 | 733 | 260 | 267 | 669 | 72 | 18 | 25.00% | 66 | 15 | 77.27% | 2 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 51.7% | 10.6% | 88.4% | 99.0 | FUN | |
| Total | 29 | 11 | 10 | 0 | 0 | 3 | 3 | 2 | 93 | 85 | 8 | 33 | 0.569 | 93 | 153 | 246 | 1 | 1 | 17 | 36 | 37 | 7 | 874 | 262 | 291 | 320 | 20 | 733 | 260 | 267 | 669 | 72 | 18 | 25.00% | 66 | 15 | 77.27% | 2 | 295 | 592 | 49.83% | 270 | 516 | 52.33% | 173 | 376 | 46.01% | 593 | 305 | 554 | 294 | 617 | 296 | 51.7% | 10.6% | 88.4% | 99.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 20 |
| Neutral Zone | 21 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 592 |
| Neutral Zone Start | 376 |
| Defensive Zone Start | 516 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 738 |
| Faceoffs Lost | 746 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.0 | 9.57 |
| 2nd Period | 19.1 | 20.31 |
| 3rd Period | 30.1 | 30.68 |
| Overtime | 30.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.3 | 2.83 |
| Even Strenght Goal | 72 |
|---|---|
| PP Goal | 18 |
| PK Goal | 2 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 10 | 4 |
| Lost | 3 | 7 |
| Overtime Lost | 2 | 3 |
| PP Attempt | 72 |
|---|---|
| PP Goal | 18 |
| PK Attempt | 66 |
| PK Goal Against | 15 |
| Home | |
|---|---|
| Shots For | 30.1 |
| Shots Against | 25.3 |
| Goals For | 3.2 |
| Goals Against | 2.9 |
| Hits | 23.1 |
| Shots Blocked | 9.0 |
| Pim | 9.2 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | DAL | @ | PIT | DAL1,PIT4 | RECAP | |||||||||
| Fri, Oct 10 | PIT | @ | DAL | PIT1,DAL4 | RECAP | |||||||||
| Tue, Oct 14 | FLO | @ | PIT | FLO3,PIT2 | RECAP | |||||||||
| Thu, Oct 16 | NYI | @ | PIT | NYI2,PIT9 | RECAP | |||||||||
| Sun, Oct 19 | PIT | @ | BOS | PIT5,BOS4 (SO) | RECAP | |||||||||
| Tue, Oct 21 | BOS | @ | PIT | BOS2,PIT6 | RECAP | |||||||||
| Wed, Oct 22 | PIT | @ | SEA | PIT2,SEA3 | RECAP | |||||||||
| Sat, Oct 25 | SEA | @ | PIT | SEA4,PIT6 | RECAP | |||||||||
| Tue, Oct 28 | PIT | @ | WAS | PIT2,WAS4 | RECAP | |||||||||
| Wed, Oct 29 | DAL | @ | PIT | DAL3,PIT5 | RECAP | |||||||||
| Fri, Oct 31 | PIT | @ | DAL | PIT1,DAL4 | RECAP | |||||||||
| Sun, Nov 2 | NYR | @ | PIT | NYR2,PIT3 | RECAP | |||||||||
| Wed, Nov 5 | PIT | @ | FLO | PIT2,FLO3 (OT) | RECAP | |||||||||
| Thu, Nov 6 | CAR | @ | PIT | CAR6,PIT3 | RECAP | |||||||||
| Sun, Nov 9 | WAS | @ | PIT | WAS2,PIT3 (SO) | RECAP | |||||||||
| Tue, Nov 11 | PIT | @ | CAR | PIT4,CAR9 | RECAP | |||||||||
| Wed, Nov 12 | PIT | @ | FLO | PIT2,FLO4 | RECAP | |||||||||
| Thu, Nov 13 | NYI | @ | PIT | NYI1,PIT3 | RECAP | |||||||||
| Sat, Nov 15 | PIT | @ | DET | PIT4,DET5 (SO) | RECAP | |||||||||
| Mon, Nov 17 | WAS | @ | PIT | WAS1,PIT6 | RECAP | |||||||||
| Thu, Nov 20 | PIT | @ | CLB | PIT3,CLB5 | RECAP | |||||||||
| Fri, Nov 21 | WPG | @ | PIT | WPG1,PIT3 | RECAP | |||||||||
| Mon, Nov 24 | PIT | @ | WPG | PIT3,WPG2 (SO) | RECAP | |||||||||
| Tue, Nov 25 | PHO | @ | PIT | PHO2,PIT1 (OT) | RECAP | |||||||||
| Fri, Nov 28 | PIT | @ | ANA | PIT2,ANA0 | RECAP | |||||||||
| Sat, Nov 29 | COL | @ | PIT | COL2,PIT1 (SO) | RECAP | |||||||||
| Tue, Dec 2 | PIT | @ | NYI | PIT1,NYI2 (OT) | RECAP | |||||||||
| Wed, Dec 3 | EDM | @ | PIT | EDM2,PIT0 | RECAP | |||||||||
| Sat, Dec 6 | PIT | @ | OTT | PIT6,OTT2 | RECAP | |||||||||
| Mon, Dec 8 | PIT | @ | S J | |||||||||||
| Tue, Dec 9 | CHI | @ | PIT | |||||||||||
| Thu, Dec 11 | ANA | @ | PIT | |||||||||||
| Sun, Dec 14 | PIT | @ | DAL | |||||||||||
| Mon, Dec 15 | NJD | @ | PIT | |||||||||||
| Thu, Dec 18 | PIT | @ | CAR | |||||||||||
| Fri, Dec 19 | NYR | @ | PIT | |||||||||||
| Mon, Dec 22 | PIT | @ | NYI | |||||||||||
| Tue, Dec 23 | PIT | @ | TOR | |||||||||||
| Thu, Dec 25 | STL | @ | PIT | |||||||||||
| Mon, Dec 29 | CAR | @ | PIT | |||||||||||
| Fri, Jan 2 | MTL | @ | PIT | |||||||||||
| Sun, Jan 4 | PIT | @ | NYR | |||||||||||
| Tue, Jan 6 | CAL | @ | PIT | |||||||||||
| Thu, Jan 8 | PIT | @ | CAL | |||||||||||
| Sat, Jan 10 | BOS | @ | PIT | |||||||||||
| Mon, Jan 12 | PIT | @ | BUF | |||||||||||
| Tue, Jan 13 | VAN | @ | PIT | |||||||||||
| Thu, Jan 15 | PIT | @ | EDM | |||||||||||
| Sat, Jan 17 | PHI | @ | PIT | |||||||||||
| Mon, Jan 19 | PIT | @ | PHO | |||||||||||
| Wed, Jan 21 | PIT | @ | WAS | |||||||||||
| Thu, Jan 22 | CHI | @ | PIT | |||||||||||
| Sun, Jan 25 | PIT | @ | MTL | |||||||||||
| Mon, Jan 26 | NAS | @ | PIT | |||||||||||
| Thu, Jan 29 | DAL | @ | PIT | |||||||||||
| Sat, Jan 31 | PIT | @ | CHI | |||||||||||
| Mon, Feb 2 | PIT | @ | COL | |||||||||||
| Tue, Feb 3 | DET | @ | PIT | |||||||||||
| Fri, Feb 6 | TOR | @ | PIT | |||||||||||
| Sun, Feb 8 | PIT | @ | NJD | |||||||||||
| Tue, Feb 10 | MIN | @ | PIT | |||||||||||
| Wed, Feb 11 | PIT | @ | NYR | |||||||||||
| Sat, Feb 14 | CLB | @ | PIT | |||||||||||
| Sun, Feb 15 | PIT | @ | PHI | |||||||||||
| Tue, Feb 17 | PIT | @ | TAM | |||||||||||
| Thu, Feb 19 | BUF | @ | PIT | |||||||||||
| Sat, Feb 21 | FLO | @ | PIT | |||||||||||
| Mon, Feb 23 | PIT | @ | BOS | |||||||||||
| Thu, Feb 26 | OTT | @ | PIT | |||||||||||
| Fri, Feb 27 | PIT | @ | PHI | |||||||||||
| Mon, Mar 2 | PHI | @ | PIT | |||||||||||
| Tue, Mar 3 | PIT | @ | SEA | |||||||||||
| Fri, Mar 6 | TAM | @ | PIT | |||||||||||
| Sat, Mar 7 | PIT | @ | LOS | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Tue, Mar 10 | LOS | @ | PIT | |||||||||||
| Thu, Mar 12 | PIT | @ | STL | |||||||||||
| Sun, Mar 15 | SEA | @ | PIT | |||||||||||
| Tue, Mar 17 | PIT | @ | NAS | |||||||||||
| Thu, Mar 19 | S J | @ | PIT | |||||||||||
| Fri, Mar 20 | PIT | @ | VAN | |||||||||||
| Sat, Mar 21 | PIT | @ | CHI | |||||||||||
| Sun, Mar 22 | PIT | @ | MIN | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,417,500$ | 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 |
| 26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,417,500$ | 3,417,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,367,195$ | 0$ | 1,186,701$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 23,180$ | 2,503,440$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,503,440$ | 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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| Defense #1 | Defense #2 | Goalie |
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