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Full Scoreboard »» |
Pittsburgh Penguins 0-0-0, 0pts · 11th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 9 | C/LW/RW | 100.00 | 86 | 41 | 77 | 84 | 85 | 90 | 90 | 84 | 86 | 88 | 83 | 88 | 84 | 77 | 82 | 0 | 61 | 94 | 30 | 5,250,000$/8yrs | |||
![]() | 21 | LW | 100.00 | 65 | 33 | 90 | 89 | 81 | 86 | 90 | 85 | 55 | 86 | 90 | 65 | 87 | 65 | 64 | 0 | 52 | 92 | 23 | 8,000,000$/8yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 33 | 95 | 78 | 76 | 86 | 90 | 81 | 81 | 86 | 80 | 74 | 80 | 92 | 99 | 0 | 24 | 91 | 38 | 5,500,000$/1yrs | |||
![]() | 44 | C | 100.00 | 86 | 36 | 89 | 73 | 71 | 85 | 88 | 72 | 91 | 76 | 73 | 87 | 73 | 77 | 86 | 0 | 46 | 87 | 30 | 4,500,000$/2yrs | |||
![]() | 62 | LW/RW | 100.00 | 74 | 32 | 87 | 74 | 69 | 85 | 87 | 77 | 58 | 77 | 78 | 79 | 77 | 72 | 71 | 0 | 52 | 86 | 27 | 1,750,000$/1yrs | |||
![]() | 46 | C | 100.00 | 64 | 32 | 90 | 74 | 75 | 84 | 76 | 77 | 81 | 84 | 74 | 65 | 76 | 88 | 87 | 0 | 52 | 86 | 37 | 2,250,000$/2yrs | |||
![]() | 7 | RW | 100.00 | 64 | 32 | 89 | 75 | 73 | 84 | 90 | 75 | 60 | 79 | 76 | 67 | 76 | 81 | 92 | 0 | 57 | 85 | 33 | 5,500,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 76 | 34 | 82 | 69 | 74 | 79 | 85 | 70 | 59 | 73 | 67 | 82 | 68 | 69 | 67 | 0 | 36 | 82 | 26 | 2,950,000$/4yrs | |||
![]() | 16 | C/LW | 100.00 | 88 | 46 | 80 | 63 | 86 | 78 | 77 | 64 | 77 | 64 | 67 | 84 | 65 | 73 | 72 | 0 | 59 | 80 | 28 | 1,200,000$/1yrs | |||
![]() | 34 | LW/RW | 100.00 | 63 | 35 | 87 | 74 | 83 | 76 | 86 | 70 | 55 | 70 | 73 | 57 | 71 | 61 | 60 | 0 | 57 | 79 | 21 | 925,000$/1yrs | |||
![]() | 62 | C/LW | 100.00 | 78 | 55 | 72 | 67 | 86 | 75 | 87 | 69 | 60 | 69 | 71 | 68 | 70 | 67 | 64 | 0 | 36 | 78 | 25 | 1,500,000$/1yrs | |||
![]() | 12 | LW/RW | 100.00 | 90 | 38 | 87 | 60 | 80 | 75 | 88 | 64 | 60 | 64 | 66 | 77 | 65 | 73 | 72 | 0 | 55 | 78 | 28 | 1,300,000$/3yrs | |||
![]() | 0 | D | 100.00 | 67 | 31 | 94 | 70 | 63 | 91 | 88 | 76 | 30 | 77 | 71 | 89 | 73 | 82 | 93 | 0 | 40 | 88 | 33 | 7,200,000$/5yrs | |||
![]() | 24 | D | 100.00 | 78 | 39 | 68 | 67 | 71 | 92 | 86 | 70 | 30 | 71 | 65 | 84 | 67 | 74 | 77 | 0 | 52 | 84 | 28 | 6,000,000$/1yrs | |||
![]() | 47 | D | 100.00 | 66 | 34 | 74 | 74 | 72 | 88 | 85 | 71 | 30 | 81 | 69 | 71 | 70 | 79 | 77 | 0 | 40 | 84 | 32 | 6,500,000$/5yrs | |||
![]() | 6 | D | 100.00 | 67 | 32 | 84 | 66 | 75 | 92 | 90 | 70 | 30 | 72 | 66 | 84 | 68 | 71 | 69 | 0 | 57 | 83 | 27 | 5,000,000$/2yrs | |||
![]() | 23 | D | 100.00 | 84 | 34 | 87 | 64 | 92 | 91 | 80 | 69 | 30 | 69 | 57 | 88 | 63 | 64 | 62 | 0 | 55 | 83 | 23 | 925,000$/8yrs | |||
![]() | 5 | D | 100.00 | 84 | 45 | 71 | 57 | 86 | 89 | 87 | 66 | 30 | 63 | 65 | 90 | 65 | 76 | 81 | 0 | 57 | 82 | 30 | 4,400,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 10 | LW | 100.00 | 74 | 42 | 74 | 74 | 79 | 81 | 77 | 71 | 59 | 69 | 74 | 80 | 73 | 65 | 62 | 0 | 19 | 82 | 23 | 2,000,000$/2yrs | |||
![]() | 91 | LW/RW | 100.00 | 95 | 36 | 81 | 63 | 82 | 75 | 78 | 68 | 58 | 72 | 66 | 67 | 67 | 70 | 68 | 0 | 19 | 78 | 26 | 2,500,000$/1yrs | |||
![]() | 16 | D | 100.00 | 86 | 40 | 66 | 62 | 99 | 85 | 90 | 63 | 30 | 68 | 68 | 76 | 66 | 72 | 69 | 0 | 20 | 80 | 28 | 4,000,000$/4yrs | |||
TEAM AVERAGE | 100.00 | 77 | 37 | 82 | 70 | 79 | 84 | 85 | 72 | 55 | 74 | 71 | 77 | 72 | 74 | 75 | 0 | 45 | 84 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 70 | 100.00 | 85 | 94 | 81 | 91 | 85 | 83 | 88 | 93 | 88 | 92 | 88 | 71 | 75 | 0 | 55 | 90 | 27 | 1,250,000$/3yrs |
![]() | 1 | 100.00 | 80 | 74 | 71 | 89 | 76 | 74 | 79 | 84 | 78 | 83 | 79 | 65 | 69 | 0 | 23 | 82 | 24 | 1,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 1 | 100.00 | 84 | 68 | 69 | 72 | 75 | 73 | 78 | 78 | 77 | 77 | 78 | 63 | 67 | 0 | 19 | 79 | 22 | 822,500$/1yrs |
TEAM AVERAGE | 100.00 | 83 | 79 | 74 | 84 | 79 | 77 | 82 | 85 | 81 | 84 | 82 | 66 | 70 | 0 | 32 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ralph Krueger | 74 | 77 | 75 | 83 | 94 | 82 | 53 | CHE | 62 | 1 | 1,000,000$ |
General Manager | Étienne Côté |
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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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Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 24 |
LTIR Players | 2 |
Penguins Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Formenton | LW | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | |||||
Arthur Kaliyev ![]() | LW/RW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Artturi Lehkonen | LW/RW | 27 | 1,750,000$ | 1,750,000$ | |||||||
Connor Murphy | D | 30 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | |||
David Krejci | C | 37 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
J.T. Miller | C/LW/RW | 30 | 5,250,000$ | 5,250,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ |
Jared Spurgeon | D | 33 | 7,200,000$ | 7,200,000$ | 7,200,000$ | 7,200,000$ | 7,200,000$ | 7,200,000$ | UFA | ||
Jason Robertson ![]() | LW | 23 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ |
Jean-Gabriel Pageau | C | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Joe Pavelski | C/RW | 38 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Jordan Eberle | RW | 33 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Jujhar Khaira ![]() | C/LW | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Karel Vejmelka ![]() ![]() | G | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Lukas Dostal ![]() | G | 22 | 822,500$ | 822,500$ | RFA | ||||||
Mathieu Joseph ![]() | C/LW/RW | 26 | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | UFA | |||
Matt Dumba | D | 28 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Mattias Samuelsson ![]() | D | 23 | 925,000$ | 925,000$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ |
Nikita Zadorov | D | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Sammy Blais | LW/RW | 26 | 2,500,000$ | 2,500,000$ | |||||||
Torey Krug | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Travis Sanheim | D | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Trent Frederic | C/LW | 25 | 1,500,000$ | 1,500,000$ | |||||||
Ukko-Pekka Luukkonen ![]() ![]() | G | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Zach Aston-Reese | LW/RW | 28 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi ![]() ![]() | C/RW | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Alex Vlasic ![]() | D | 21 | 750,000$ | 750,000$ | RFA | ||||||
Antti Tuomisto ![]() | D | 22 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Bogdan Trineyev ![]() | RW | 21 | 859,167$ | 859,167$ | 859,167$ | 859,167$ | RFA | ||||
Cameron Butler ![]() | RW | 20 | 858,333$ | 858,333$ | 858,333$ | 858,333$ | 858,333$ | RFA | |||
Cameron Crotty ![]() | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Cameron Morrison ![]() | C | 24 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Cole Schwindt ![]() | C/RW | 22 | 870,000$ | 870,000$ | RFA | ||||||
Connor Ford ![]() | RW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Curtis Hall ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Daniel Mannella ![]() ![]() | G | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Dennis Cholowski ![]() ![]() | D | 25 | 1,150,000$ | 1,150,000$ | 1,150,000$ | ![]() | |||||
Eetu Makiniemi ![]() ![]() | G | 24 | 867,500$ | 867,500$ | RFA | ||||||
Eetu Tuulola ![]() | RW | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Ilya Nikolayev ![]() | C | 21 | 836,667$ | 836,667$ | 836,667$ | 836,667$ | RFA | ||||
Isaac Ratcliffe ![]() | LW | 24 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Jacob Larsson ![]() | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Jacob Moverare ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Jakob Pivonka ![]() | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Joey Anderson ![]() | RW | 24 | 900,000$ | 900,000$ | ![]() | ||||||
Johan Sodergran ![]() | RW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Josh Leivo ![]() | LW/RW | 30 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Kyle McDonald ![]() | RW | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | |||
Markus Niemelainen ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Milan Lucic ![]() | LW | 34 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Nic Petan ![]() | C/LW/RW | 28 | 900,000$ | 900,000$ | UFA | ||||||
Oskari Laaksonen ![]() | D | 23 | 853,333$ | 853,333$ | RFA | ||||||
Otto Leskinen ![]() | D | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Philipp Kurashev ![]() | C/LW | 23 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Philippe Desrosiers ![]() | G | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Riley Tufte ![]() | LW | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Sam Hentges ![]() ![]() | C | 23 | 855,000$ | 855,000$ | RFA | ||||||
Serron Noel ![]() | RW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Tyce Thompson ![]() | RW | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Tyler Kleven ![]() | D | 21 | 916,667$ | 916,667$ | 916,667$ | 916,667$ | RFA | ||||
Urho Vaakanainen ![]() ![]() | D | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ![]() |
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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 | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
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 | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,822,500$ | 0$ | 0$ | -2,322,500$ |
Arena | Goal Horn | About us | |
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![]() | Name | PPG Paints Arena | |
City | Pittsburgh | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,822,500$ | 84,822,500$ | 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$ | 2 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 84,822,500$ | 15,947,660$ | 15,947,660$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Edstrom | 2019 | 153 | |||
Alexei Lipanov | 5.0 - 3.5 | ||||
Ben MacDonald | 2022 | 106 | |||
Daimon Gardner | 2022 | 138 | |||
Henrik Tikkanen | |||||
Jacob Leguerrier | 2019 | 144 | |||
John Farinacci | 2019 | 76 | |||
Kristian Tanus | 2020 | 170 | |||
Luke Tuch | 2020 | 47 | |||
Manix Landry | 2021 | 153 | |||
Mathew Hill | |||||
Mikael Hakkarainen | |||||
Nikita Yevseyev | 2022 | 217 | |||
Santeri Airola | 2019 | 207 | |||
Vladislav Kotkov | 6.5 - 3.5 |