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Full Scoreboard »» |
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Full Scoreboard »» |
Wilkes-Barre/Scranton Penguins 0-0-0, 0pts · 16th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joey Anderson | 0 | RW | 100.00 | 66 | 33 | 98 | 64 | 80 | 75 | 76 | 66 | 55 | 68 | 67 | 72 | 66 | 68 | 68 | 0 | 30 | 78 | 25 | 1,000,000$/1yrs | |||
Philippe Maillet | 19 | C | 100.00 | 57 | 37 | 96 | 56 | 70 | 70 | 71 | 68 | 82 | 62 | 56 | 72 | 59 | 77 | 77 | 0 | 25 | 74 | 31 | 775,000$/1yrs | |||
Riley Tufte | 24 | LW | 100.00 | 83 | 43 | 55 | 60 | 94 | 69 | 84 | 63 | 35 | 59 | 62 | 65 | 61 | 67 | 62 | 0 | 22 | 73 | 26 | 950,000$/1yrs | |||
Jaxson Nelson | 0 | C | 100.00 | 54 | 39 | 94 | 63 | 84 | 71 | 91 | 62 | 70 | 61 | 65 | 66 | 63 | 65 | 64 | 0 | 40 | 73 | 24 | 870,000$/2yrs | |||
Isaac Ratcliffe | 0 | LW | 100.00 | 79 | 42 | 59 | 56 | 85 | 65 | 82 | 62 | 35 | 57 | 55 | 65 | 56 | 64 | 60 | 0 | 26 | 71 | 25 | 975,000$/1yrs | |||
Jakob Pivonka | 0 | C | 100.00 | 62 | 39 | 85 | 60 | 76 | 68 | 60 | 58 | 70 | 59 | 61 | 64 | 60 | 63 | 64 | 0 | 19 | 71 | 24 | 900,000$/2yrs | |||
Cam Morrison | 0 | C | 100.00 | 64 | 40 | 85 | 55 | 84 | 65 | 78 | 63 | 41 | 56 | 56 | 66 | 56 | 66 | 65 | 0 | 26 | 70 | 25 | 975,000$/1yrs | |||
Cole Schwindt | 0 | C/RW | 100.00 | 63 | 39 | 86 | 58 | 79 | 65 | 89 | 60 | 69 | 58 | 56 | 63 | 57 | 61 | 60 | 0 | 27 | 70 | 22 | 855,833$/1yrs | |||
Serron Noel | 18 | RW | 100.00 | 84 | 45 | 67 | 57 | 93 | 71 | 60 | 58 | 56 | 57 | 54 | 59 | 55 | 62 | 64 | 0 | 24 | 70 | 23 | 900,000$/2yrs | |||
Tyce Thompson | 0 | RW | 100.00 | 67 | 39 | 79 | 56 | 70 | 66 | 84 | 62 | 49 | 60 | 53 | 65 | 56 | 64 | 62 | 0 | 19 | 70 | 24 | 950,000$/1yrs | |||
Sam Hentges | 31 | C | 100.00 | 64 | 38 | 89 | 58 | 69 | 66 | 60 | 56 | 71 | 59 | 56 | 65 | 58 | 65 | 66 | 0 | 27 | 70 | 24 | 855,000$/1yrs | |||
Kyle McDonald | 0 | RW | 100.00 | 59 | 39 | 92 | 59 | 84 | 66 | 70 | 59 | 42 | 54 | 62 | 62 | 58 | 59 | 58 | 0 | 23 | 70 | 22 | 870,000$/3yrs | |||
Cam Thiesing | 0 | C | 100.00 | 85 | 43 | 50 | 61 | 72 | 66 | 85 | 58 | 62 | 60 | 61 | 60 | 61 | 59 | 54 | 0 | 40 | 69 | 23 | 870,000$/3yrs | |||
Shakir Mukhamadullin (R) | 0 | D | 100.00 | 63 | 39 | 87 | 61 | 79 | 68 | 74 | 57 | 30 | 68 | 54 | 63 | 61 | 59 | 58 | 0 | 21 | 73 | 22 | 894,167$/2yrs | |||
Dennis Cholowski | 0 | D | 100.00 | 60 | 39 | 90 | 59 | 83 | 67 | 88 | 54 | 30 | 65 | 51 | 67 | 58 | 66 | 65 | 0 | 31 | 72 | 26 | 1,150,000$/1yrs | |||
Jacob Moverare (R) | 0 | D | 100.00 | 66 | 40 | 82 | 54 | 84 | 67 | 83 | 52 | 30 | 59 | 52 | 68 | 56 | 66 | 64 | 0 | 22 | 70 | 25 | 900,000$/1yrs | |||
Markus Niemelainen | 56 | D | 100.00 | 86 | 33 | 93 | 55 | 81 | 72 | 70 | 50 | 30 | 50 | 50 | 61 | 50 | 67 | 66 | 0 | 23 | 69 | 25 | 900,000$/1yrs | |||
Jacob Larsson | 0 | D | 100.00 | 72 | 40 | 70 | 51 | 76 | 66 | 82 | 49 | 30 | 55 | 52 | 67 | 54 | 68 | 65 | 0 | 23 | 68 | 26 | 1,000,000$/1yrs | |||
Cameron Crotty | 5 | D | 100.00 | 65 | 40 | 83 | 50 | 85 | 63 | 88 | 48 | 30 | 55 | 50 | 66 | 53 | 64 | 63 | 0 | 23 | 67 | 24 | 950,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Adam Edstrom (R) | 0 | C | 100.00 | 66 | 41 | 82 | 58 | 95 | 65 | 71 | 61 | 63 | 52 | 63 | 64 | 58 | 63 | 61 | 0 | 20 | 71 | 23 | ||||
Tyler Angle | 0 | LW | 100.00 | 65 | 38 | 83 | 56 | 66 | 64 | 84 | 61 | 70 | 55 | 56 | 64 | 56 | 63 | 61 | 0 | 24 | 69 | 23 | 850,833$/1yrs | |||
Jack Finley (R) | 0 | C | 100.00 | 69 | 41 | 76 | 56 | 92 | 63 | 84 | 59 | 62 | 54 | 56 | 62 | 55 | 59 | 57 | 0 | 24 | 69 | 21 | 797,500$/2yrs | |||
Curtis Hall | 0 | C | 100.00 | 61 | 39 | 89 | 54 | 85 | 63 | 77 | 61 | 72 | 54 | 52 | 65 | 53 | 63 | 61 | 0 | 20 | 68 | 23 | 925,000$/1yrs | |||
Ilya Nikolayev (R) | 0 | C | 100.00 | 60 | 38 | 91 | 54 | 74 | 63 | 69 | 60 | 71 | 53 | 54 | 64 | 54 | 61 | 60 | 0 | 19 | 68 | 22 | 836,667$/2yrs | |||
Bogdan Trineyev (R) | 0 | RW | 100.00 | 60 | 39 | 91 | 55 | 82 | 62 | 71 | 59 | 49 | 54 | 54 | 63 | 54 | 59 | 58 | 0 | 20 | 68 | 22 | 859,167$/2yrs | |||
Cameron Butler | 0 | RW | 100.00 | 79 | 42 | 59 | 52 | 85 | 60 | 70 | 60 | 44 | 50 | 52 | 63 | 51 | 59 | 55 | 0 | 19 | 67 | 21 | 858,333$/3yrs | |||
Tyler Kleven (R) | 0 | D | 100.00 | 73 | 38 | 76 | 58 | 82 | 70 | 68 | 55 | 30 | 65 | 51 | 63 | 55 | 60 | 58 | 0 | 14 | 72 | 22 | 916,667$/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 Bullion | 0 | 100.00 | 78 | 66 | 75 | 77 | 83 | 79 | 80 | 78 | 79 | 77 | 79 | 69 | 69 | 0 | 43 | 81 | 26 | 775,000$/1yrs |
Benjamin Kraws | 0 | 100.00 | 75 | 94 | 70 | 82 | 66 | 73 | 75 | 75 | 73 | 72 | 74 | 64 | 73 | 0 | 44 | 79 | 23 | 850,000$/2yrs |
Scratches | ||||||||||||||||||||
Nikita Tolopilo | 0 | 100.00 | 75 | 69 | 72 | 94 | 57 | 76 | 75 | 75 | 76 | 76 | 76 | 64 | 67 | 0 | 30 | 78 | 24 | 950,000$/2yrs |
Victor Ostman | 0 | 100.00 | 69 | 73 | 66 | 81 | 60 | 72 | 69 | 69 | 72 | 72 | 70 | 63 | 71 | 0 | 36 | 74 | 23 | 870,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dominique Ducharme | 79 | 74 | 73 | 78 | 73 | 68 | 77 | CAN | 50 | 1 | 1,000,000$ |
General Manager |
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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 |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 |
# | 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 |
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Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Edstrom | C | 23 | 0$ | RFA | |||||||
Benjamin Kraws | G | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Bogdan Trineyev | RW | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Cam Morrison | C | 25 | 975,000$ | 975,000$ | RFA | ||||||
Cam Thiesing | C | 23 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Cameron Butler | RW | 21 | 858,333$ | 858,333$ | 858,333$ | 858,333$ | RFA | ||||
Cameron Crotty | D | 24 | 950,000$ | 950,000$ | RFA | ||||||
Cole Schwindt | C/RW | 22 | 855,833$ | 855,833$ | RFA | ||||||
Curtis Hall | C | 23 | 925,000$ | 925,000$ | RFA | ||||||
Dennis Cholowski | D | 26 | 1,150,000$ | 1,150,000$ | RFA | ||||||
Ilya Nikolayev | C | 22 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Isaac Ratcliffe | LW | 25 | 975,000$ | 975,000$ | RFA | ||||||
Jack Finley | C | 21 | 797,500$ | 797,500$ | 797,500$ | RFA | |||||
Jacob Larsson | D | 26 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Jacob Moverare | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Jakob Pivonka | C | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Jaxson Nelson | C | 24 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Joey Anderson | RW | 25 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Kyle McDonald | RW | 22 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Markus Niemelainen | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Michael Bullion | G | 26 | 775,000$ | 775,000$ | RFA | ||||||
Nikita Tolopilo | G | 24 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Nikita Tolopilo | G | 24 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Philippe Maillet | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Riley Tufte | LW | 26 | 950,000$ | 950,000$ | RFA | ||||||
Sam Hentges | C | 24 | 855,000$ | 855,000$ | RFA | ||||||
Serron Noel | RW | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Shakir Mukhamadullin | D | 22 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Tyce Thompson | RW | 24 | 950,000$ | 950,000$ | RFA | ||||||
Tyler Angle | LW | 23 | 850,833$ | 850,833$ | RFA | ||||||
Tyler Kleven | D | 22 | 916,667$ | 916,667$ | 916,667$ | RFA | |||||
Victor Ostman | G | 23 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,702,917$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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Name | ||
City | Wilkes-Barre/Scranton | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,702,917$ | 2,702,917$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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