































![]() | Pittsburgh Penguins 20-8-1, 41pts · 1st in Eastern Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/LW | 100.00 | 68 | 40 | 92 | 84 | 64 | 84 | 89 | 83 | 71 | 87 | 83 | 73 | 71 | 64 | 62 | 0 | 82 | 25 | 7,350,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 71 | 40 | 79 | 76 | 71 | 81 | 91 | 83 | 82 | 87 | 80 | 70 | 74 | 86 | 92 | 0 | 82 | 33 | 8,500,000$/2yrs | |||||
![]() | C | 100.00 | 69 | 40 | 86 | 87 | 85 | 86 | 93 | 74 | 78 | 82 | 75 | 69 | 79 | 63 | 66 | 0 | 80 | 24 | 7,875,000$/8yrs | |||||
![]() | LW | 100.00 | 88 | 75 | 72 | 75 | 84 | 80 | 96 | 78 | 76 | 84 | 78 | 65 | 54 | 65 | 71 | 0 | 80 | 24 | 8,205,714$/6yrs | |||||
![]() | LW/RW | 100.00 | 70 | 40 | 88 | 73 | 70 | 75 | 91 | 66 | 53 | 75 | 68 | 66 | 59 | 69 | 59 | 0 | 72 | 26 | 4,150,000$/2yrs | |||||
![]() | RW | 100.00 | 83 | 66 | 77 | 65 | 79 | 64 | 96 | 61 | 54 | 70 | 66 | 79 | 54 | 68 | 59 | 0 | 72 | 32 | 1,500,000$/1yrs | |||||
![]() | C | 100.00 | 73 | 65 | 81 | 67 | 88 | 70 | 93 | 60 | 84 | 70 | 64 | 80 | 54 | 72 | 59 | 0 | 72 | 29 | 3,250,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 62 | 40 | 81 | 67 | 82 | 73 | 85 | 63 | 57 | 73 | 63 | 80 | 60 | 77 | 68 | 0 | 72 | 33 | 5,250,000$/2yrs | |||||
![]() | LW | 100.00 | 69 | 47 | 89 | 70 | 74 | 69 | 87 | 61 | 56 | 71 | 65 | 76 | 54 | 74 | 60 | 0 | 71 | 31 | 750,000$/1yrs | |||||
![]() | C/LW | 100.00 | 68 | 40 | 88 | 60 | 76 | 68 | 88 | 65 | 85 | 73 | 66 | 68 | 54 | 91 | 73 | 0 | 71 | 37 | 1,500,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 74 | 40 | 82 | 69 | 85 | 70 | 76 | 61 | 53 | 71 | 65 | 71 | 57 | 68 | 59 | 0 | 71 | 30 | 3,400,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 76 | 74 | 73 | 60 | 82 | 63 | 72 | 58 | 53 | 67 | 59 | 71 | 54 | 59 | 57 | 0 | 67 | 26 | 750,000$/3yrs | |||||
![]() | D | 100.00 | 73 | 40 | 78 | 85 | 84 | 99 | 85 | 71 | 40 | 80 | 63 | 86 | 57 | 89 | 72 | 0 | 81 | 33 | 11,000,000$/5yrs | |||||
![]() | D | 100.00 | 78 | 40 | 84 | 74 | 81 | 87 | 92 | 65 | 40 | 77 | 63 | 86 | 73 | 60 | 58 | 0 | 77 | 23 | 925,000$/3yrs | |||||
![]() | D | 100.00 | 74 | 48 | 79 | 70 | 87 | 84 | 87 | 60 | 40 | 73 | 59 | 89 | 54 | 61 | 58 | 0 | 75 | 26 | 1,125,000$/6yrs | |||||
![]() | D | 100.00 | 77 | 58 | 75 | 69 | 77 | 85 | 87 | 60 | 40 | 70 | 60 | 89 | 54 | 59 | 58 | 0 | 74 | 28 | 2,500,000$/5yrs | |||||
![]() | D | 100.00 | 65 | 58 | 79 | 79 | 81 | 82 | 83 | 68 | 40 | 79 | 63 | 71 | 56 | 76 | 60 | 0 | 74 | 32 | 6,500,000$/5yrs | |||||
![]() | D | 100.00 | 70 | 66 | 92 | 70 | 79 | 73 | 79 | 60 | 40 | 71 | 60 | 81 | 54 | 57 | 58 | 0 | 72 | 22 | 925,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | D | 100.00 | 71 | 69 | 72 | 73 | 77 | 71 | 80 | 57 | 40 | 69 | 58 | 84 | 54 | 74 | 60 | 0 | 71 | 34 | 750,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 73 | 52 | 81 | 72 | 79 | 77 | 87 | 66 | 57 | 75 | 66 | 77 | 59 | 70 | 64 | 0 | 75 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 35 | 100.00 | 83 | 88 | 88 | 80 | 79 | 80 | 88 | 78 | 86 | 77 | 82 | 64 | 57 | 0 | 83 | 28 | 3,500,000$/6yrs | |
![]() | 50 | 100.00 | 75 | 91 | 91 | 79 | 77 | 71 | 82 | 65 | 85 | 76 | 86 | 65 | 66 | 0 | 79 | 30 | 6,000,000$/5yrs | |
Scratches | ||||||||||||||||||||
![]() | 41 | 100.00 | 81 | 65 | 65 | 85 | 77 | 72 | 81 | 72 | 75 | 70 | 77 | 56 | 54 | 0 | 75 | 23 | 850,833$/2yrs | |
TEAM AVERAGE | 100.00 | 80 | 81 | 81 | 81 | 78 | 74 | 84 | 72 | 82 | 74 | 82 | 62 | 59 | 0 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
David Quinn | 83 | 77 | 81 | 83 | 85 | 81 | 1 | USA | 56 | 2 | 2,800,000$ |
General Manager | Francois Rousseau |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Elias Pettersson | ![]() | 40 | C/LW | 29 | 17 | 16 | 33 | 9 | 4 | 0 | 31 | 119 | 40 | 109 | 14.29% | 4 | 22.14 | 2 | 4 | 6 | 0 | 0 | 0 | 70 | 1 | 3 | 47.39% | 0 | 0 | 1.14 | 0 | 0 | 1.29 | ||
2 | Nick Suzuki | ![]() | 14 | C | 29 | 16 | 11 | 27 | 5 | 8 | 0 | 27 | 77 | 15 | 58 | 20.78% | 7 | 21.42 | 5 | 1 | 6 | 1 | 0 | 1 | 95 | 5 | 2 | 48.01% | 0 | 0 | 0.93 | 1 | 1 | 0.90 | ||
3 | Steven Stamkos | ![]() | 0 | C/LW/RW | 30 | 6 | 15 | 21 | 15 | 12 | 0 | 44 | 79 | 26 | 47 | 7.59% | 3 | 19.94 | 1 | 1 | 2 | 0 | 0 | 0 | 35 | 3 | 0 | 50.19% | 0 | 0 | 0.70 | 0 | 1 | 0.83 | ||
4 | Brady Tkachuk | ![]() | 7 | LW | 29 | 6 | 14 | 20 | 5 | 32 | 0 | 81 | 63 | 21 | 56 | 9.52% | 0 | 19.18 | 0 | 4 | 4 | 0 | 0 | 0 | 45 | 1 | 0 | 34.55% | 0 | 0 | 0.69 | 0 | 0 | 0.61 | ||
5 | Drew Doughty | ![]() | 8 | D | 29 | 3 | 16 | 19 | 1 | 14 | 0 | 55 | 51 | 8 | 33 | 5.88% | 42 | 23.14 | 2 | 1 | 3 | 0 | 0 | 0 | 66 | 1 | 0 | 0.00% | 0 | 0 | 0.66 | 0 | 0 | 0.60 | ||
6 | Artem Zub | ![]() | 2 | D | 29 | 3 | 13 | 16 | 9 | 16 | 0 | 43 | 35 | 9 | 15 | 8.57% | 21 | 17.85 | 0 | 1 | 1 | 0 | 0 | 0 | 74 | 1 | 0 | 0.00% | 0 | 0 | 0.55 | 0 | 0 | 0.54 | ||
7 | Jonas Siegenthaler | ![]() | 71 | D | 29 | 2 | 13 | 15 | 2 | 24 | 0 | 31 | 24 | 5 | 14 | 8.33% | 39 | 22.37 | 0 | 1 | 1 | 0 | 0 | 0 | 80 | 2 | 0 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.38 | ||
8 | Torey Krug | ![]() | 47 | D | 29 | 3 | 9 | 12 | 5 | 18 | 0 | 20 | 32 | 13 | 15 | 9.38% | 21 | 18.92 | 1 | 1 | 2 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.41 | 0 | 0 | 0.37 | ||
9 | Anthony Beauvillier | ![]() | 72 | LW/RW | 29 | 6 | 5 | 11 | 7 | 10 | 0 | 34 | 45 | 10 | 24 | 13.33% | 1 | 18.22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 36.00% | 0 | 0 | 0.38 | 0 | 0 | 0.46 | ||
10 | K'Andre Miller | ![]() | 79 | D | 29 | 3 | 8 | 11 | 1 | 12 | 0 | 50 | 43 | 10 | 23 | 6.98% | 39 | 24.31 | 1 | 1 | 2 | 0 | 0 | 0 | 89 | 1 | 1 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.42 | ||
11 | Jakob Silfverberg | ![]() | 33 | LW/RW | 29 | 5 | 4 | 9 | 4 | 2 | 0 | 12 | 43 | 11 | 21 | 11.63% | 2 | 15.92 | 1 | 0 | 1 | 0 | 1 | 1 | 83 | 1 | 1 | 47.54% | 0 | 0 | 0.31 | 0 | 0 | 0.37 | ||
12 | Radek Faksa | ![]() | 22 | C | 29 | 6 | 1 | 7 | -2 | 2 | 0 | 28 | 32 | 11 | 19 | 18.75% | 5 | 12.68 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 51.22% | 1 | 0 | 0.24 | 0 | 0 | 0.25 | ||
13 | Garnet Hathaway | ![]() | 19 | RW | 29 | 4 | 1 | 5 | 0 | 15 | 5 | 32 | 24 | 6 | 14 | 16.67% | 3 | 8.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 57.14% | 0 | 0 | 0.17 | 0 | 0 | 0.13 | ||
14 | Braden Schneider | ![]() | 0 | D | 15 | 1 | 3 | 4 | 4 | 2 | 0 | 7 | 7 | 5 | 9 | 14.29% | 3 | 13.24 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.32 | ||
15 | Paul Stastny | ![]() | 25 | C/LW | 29 | 1 | 2 | 3 | -2 | 4 | 0 | 19 | 26 | 6 | 22 | 3.85% | 6 | 9.73 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 65.45% | 0 | 0 | 0.10 | 0 | 0 | 0.13 | ||
16 | Joel Armia | ![]() | 0 | LW/RW | 29 | 0 | 2 | 2 | -2 | 4 | 0 | 15 | 23 | 1 | 20 | 0.00% | 0 | 9.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.44% | 0 | 0 | 0.07 | 0 | 0 | 0.06 | ||
17 | Matt Nieto | ![]() | 83 | LW | 18 | 1 | 0 | 1 | -2 | 2 | 0 | 5 | 14 | 3 | 10 | 7.14% | 0 | 7.72 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 50.00% | 0 | 0 | 0.06 | 0 | 0 | 0.06 | ||
18 | Mathieu Olivier | ![]() | 27 | LW/RW | 28 | 0 | 1 | 1 | 0 | 2 | 0 | 8 | 13 | 3 | 11 | 0.00% | 1 | 7.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39.45% | 0 | 0 | 0.04 | 0 | 0 | 0.05 | ||
19 | Brendan Smith | ![]() | 3 | D | 2 | 0 | 1 | 1 | -1 | 2 | 0 | 2 | 0 | 1 | 0 | 0.00% | 2 | 14.12 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.06 | ||
Team Total or Average | 499 | 83 | 135 | 218 | 58 | 185 | 5 | 544 | 750 | 204 | 520 | 11.07% | 199 | 16.48 | 16 | 16 | 32 | 816 | 1 | 1 | 2 | 682 | 19 | 8 | 48.23% | 2320 | 0 | 0 | 1 | 0 | 0.53 | 1 | 2 |
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 | Tristan Jarry | ![]() | 24 | 15 | 7 | 1 | 0.910 | 2.49 | 1397 | 4 | 0 | 58 | 645 | 0 | 2 | 0 | 1.000 | 3 | 24 | 5 | 1 | 3 | 0 |
2 | Jordan Binnington | ![]() | 10 | 6 | 3 | 0 | 0.900 | 2.68 | 559 | 0 | 0 | 25 | 251 | 0 | 0 | 0 | 0.000 | 0 | 9 | 19 | 1 | 0 | 0 |
Team Total or Average | 34 | 21 | 10 | 1 | 0.907 | 2.55 | 1957 | 4 | 0 | 83 | 896 | 0 | 2 | 0 | 1.000 | 3 | 33 | 24 | 2 | 3 | 0 |
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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 27 | 7 | 11 | 9 | 0 | 28 | 10 | 12 | 17 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 24 | 16 | 23 | 7 | 12 | 5 | 60.0% | 11.1% | 85.7% | 96.8 | FUN |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 9 | 11 | 6 | 0 | 22 | 6 | 8 | 16 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 26 | 19 | 21 | 6 | 12 | 6 | 50.0% | 7.7% | 86.4% | 94.1 | Unlucky |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 8 | 11 | 5 | 0 | 31 | 5 | 2 | 13 | 8 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 25 | 18 | 23 | 7 | 12 | 6 | 33.3% | 4.2% | 93.5% | 97.7 | DULL |
4 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 80 | 19 | 35 | 26 | 0 | 71 | 19 | 27 | 52 | 10 | 4 | 40.00% | 11 | 1 | 90.91% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 69 | 45 | 70 | 22 | 39 | 20 | 27.3% | 8.8% | 87.3% | 96.1 | Unlucky |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 26 | 10 | 10 | 6 | 0 | 20 | 4 | 2 | 13 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 24 | 17 | 22 | 7 | 13 | 6 | 75.0% | 15.4% | 95.0% | 110.4 | LUCKY |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 22 | 10 | 5 | 7 | 0 | 26 | 7 | 6 | 17 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 22 | 14 | 23 | 7 | 14 | 7 | 62.5% | 22.7% | 88.5% | 111.2 | FUN |
7 | ![]() | 6 | 3 | 1 | 0 | 2 | 0 | 0 | 0 | 21 | 13 | 8 | 10 | 0.833 | 21 | 32 | 53 | 0 | 0 | 4 | 8 | 7 | 2 | 169 | 44 | 66 | 57 | 2 | 161 | 42 | 22 | 120 | 23 | 6 | 26.09% | 11 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 142 | 97 | 140 | 46 | 79 | 39 | 53.6% | 12.4% | 91.9% | 104.4 | LUCKY |
8 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 31 | 6 | 13 | 12 | 0 | 26 | 3 | 12 | 25 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 1 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 23 | 15 | 22 | 7 | 13 | 6 | 66.7% | 6.5% | 96.2% | 102.6 | DULL |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 1 | 0 | 30 | 15 | 6 | 9 | 0 | 38 | 4 | 16 | 20 | 1 | 1 | 100.00% | 7 | 1 | 85.71% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 18 | 12 | 28 | 8 | 12 | 5 | 66.7% | 16.7% | 92.1% | 108.8 | LUCKY |
10 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 4 | 3 | 1 | 0 | 55 | 22 | 10 | 23 | 0 | 44 | 16 | 32 | 41 | 9 | 0 | 0.00% | 16 | 3 | 81.25% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 47 | 31 | 44 | 16 | 27 | 13 | 72.7% | 14.5% | 86.4% | 100.9 | FUN |
11 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 2 | 1 | 33 | 9 | 13 | 10 | 3 | 35 | 10 | 6 | 22 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 28 | 19 | 22 | 8 | 14 | 7 | 50.0% | 9.1% | 94.3% | 103.4 | LUCKY |
12 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 2 | 0 | 54 | 22 | 18 | 14 | 0 | 67 | 24 | 18 | 42 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 43 | 28 | 50 | 16 | 26 | 12 | 60.0% | 11.1% | 89.6% | 100.7 | FUN |
13 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 22 | 11 | 8 | 3 | 0 | 30 | 4 | 27 | 12 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 24 | 14 | 22 | 7 | 12 | 6 | 66.7% | 9.1% | 96.7% | 105.8 | LUCKY |
14 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 42 | 15 | 12 | 14 | 1 | 58 | 13 | 8 | 34 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 47 | 32 | 48 | 14 | 25 | 12 | 37.5% | 7.1% | 89.7% | 96.8 | Unlucky |
15 | ![]() | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 17 | 26 | 0 | 0 | 5 | 2 | 1 | 1 | 84 | 29 | 25 | 27 | 3 | 85 | 22 | 20 | 65 | 12 | 2 | 16.67% | 10 | 2 | 80.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 74 | 51 | 69 | 23 | 39 | 20 | 53.8% | 10.7% | 90.6% | 101.3 | FUN |
16 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 3 | 1 | 45 | 22 | 9 | 13 | 1 | 37 | 14 | 10 | 44 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 42 | 27 | 51 | 15 | 26 | 13 | 75.0% | 15.6% | 94.6% | 110.2 | LUCKY |
_Vs Division | 14 | 6 | 4 | 0 | 3 | 1 | 0 | 0 | 43 | 35 | 8 | 19 | 0.679 | 43 | 72 | 115 | 0 | 0 | 13 | 14 | 13 | 3 | 379 | 110 | 142 | 122 | 5 | 374 | 95 | 77 | 267 | 55 | 12 | 21.82% | 34 | 3 | 91.18% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 334 | 226 | 327 | 107 | 185 | 94 | 49.2% | 11.3% | 90.6% | 102.0 | FUN | |
_Vs Conference | 19 | 7 | 7 | 0 | 4 | 1 | 0 | 0 | 55 | 49 | 6 | 23 | 0.605 | 55 | 93 | 148 | 0 | 0 | 16 | 17 | 18 | 4 | 500 | 151 | 186 | 157 | 6 | 502 | 128 | 107 | 347 | 67 | 13 | 19.40% | 48 | 7 | 85.42% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 456 | 312 | 443 | 143 | 248 | 125 | 50.0% | 11.0% | 90.2% | 101.2 | FUN | |
_Since Last GM Reset | 29 | 14 | 8 | 0 | 5 | 1 | 1 | 0 | 88 | 71 | 17 | 41 | 0.707 | 88 | 150 | 238 | 0 | 0 | 31 | 24 | 27 | 6 | 770 | 258 | 263 | 241 | 10 | 779 | 203 | 228 | 553 | 99 | 16 | 16.16% | 99 | 14 | 85.86% | 1 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 684 | 462 | 688 | 223 | 381 | 189 | 55.8% | 11.4% | 90.9% | 102.3 | FUN | |
Total | 29 | 14 | 8 | 0 | 5 | 1 | 1 | 0 | 88 | 71 | 17 | 41 | 0.707 | 88 | 150 | 238 | 0 | 0 | 31 | 24 | 27 | 6 | 770 | 258 | 263 | 241 | 10 | 779 | 203 | 228 | 553 | 99 | 16 | 16.16% | 99 | 14 | 85.86% | 1 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 684 | 462 | 688 | 223 | 381 | 189 | 55.8% | 11.4% | 90.9% | 102.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 919 |
Neutral Zone Start | 438 |
Defensive Zone Start | 959 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1134 |
Faceoffs Lost | 1182 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.9 | 9.57 |
2nd Period | 18.0 | 20.31 |
3rd Period | 26.3 | 30.68 |
Overtime | 26.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 71 |
---|---|
PP Goal | 16 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 11 | 9 |
Lost | 4 | 4 |
Overtime Lost | 0 | 1 |
PP Attempt | 99 |
---|---|
PP Goal | 16 |
PK Attempt | 99 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 26.6 |
Shots Against | 26.9 |
Goals For | 3.0 |
Goals Against | 2.4 |
Hits | 19.1 |
Shots Blocked | 7.0 |
Pim | 7.9 |
![]() | |
Projected Total Cap Hit | 86,556,547$ |
Projected Cap Space | 1,443,453$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 29,829,860$ |
Players In Salary Cap | 22 |
Contracts | 56/50 |
LTIR Players | 0 |
Penguins Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid ![]() | G | 23 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Anthony Beauvillier ![]() | LW/RW | 26 | 4,150,000$ | 4,150,000$ | 4,150,000$ | ![]() | |||||
Artem Zub ![]() | D | 28 | 2,500,000$ | 2,500,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | ||
Braden Schneider ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Brady Tkachuk ![]() | LW | 24 | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | UFA | |
Brendan Smith ![]() | D | 34 | 750,000$ | 750,000$ | UFA | ||||||
Drew Doughty ![]() | D | 33 | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | UFA | ||
Elias Pettersson ![]() | C/LW | 25 | 7,350,000$ | 7,350,000$ | 7,350,000$ | ![]() | |||||
Garnet Hathaway ![]() | RW | 32 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Jakob Silfverberg ![]() | LW/RW | 33 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Joel Armia ![]() | LW/RW | 30 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||||
Jonas Siegenthaler ![]() | D | 26 | 1,125,000$ | 1,125,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | |
Jordan Binnington ![]() | G | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
K'Andre Miller ![]() | D | 23 | 925,000$ | 925,000$ | 3,872,000$ | 3,872,000$ | ![]() | ||||
Mathieu Olivier ![]() ![]() | LW/RW | 26 | 750,000$ | 750,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Matt Nieto ![]() | LW | 31 | 750,000$ | 750,000$ | UFA | ||||||
Nick Suzuki ![]() | C | 24 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ |
Paul Stastny ![]() | C/LW | 37 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Radek Faksa ![]() | C | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
Steven Stamkos ![]() | C/LW/RW | 33 | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||||
Torey Krug ![]() | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Tristan Jarry ![]() | G | 28 | 3,500,000$ | 3,500,000$ | 5,375,000$ | 5,375,000$ | 5,375,000$ | 5,375,000$ | 5,375,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty ![]() | C | 21 | 836,667$ | 836,667$ | 836,667$ | 836,667$ | RFA | ||||
Anthony Bitetto ![]() | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Anthony Greco ![]() ![]() | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Byron Froese ![]() | C | 32 | 750,000$ | 750,000$ | UFA | ||||||
C.J. Smith ![]() | C/LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Daniel Brickley ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Dylan Ferguson ![]() | G | 25 | 733,333$ | 750,000$ | 750,000$ | ![]() | |||||
Eemil Viro ![]() | D | 21 | 828,333$ | 828,333$ | 828,333$ | 828,333$ | RFA | ||||
Filip Mesar ![]() | RW | 19 | 750,000$ | 750,000$ | 918,333$ | 918,333$ | 918,333$ | RFA | |||
Frederik Gauthier ![]() ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Fredrik Claesson ![]() | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Gaetan Haas ![]() | C | 31 | 750,000$ | 750,000$ | UFA | ||||||
Ivan Morozov ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Ivan Prosvetov ![]() | G | 24 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Jack Rathbone ![]() ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Jakub Zboril ![]() | D | 26 | 1,137,500$ | 1,137,500$ | 1,137,500$ | ![]() | |||||
Jayson Megna ![]() | C/LW/RW | 33 | 750,000$ | 750,000$ | UFA | ||||||
Jj Peterka ![]() | LW/RW | 21 | 855,833$ | 855,833$ | 855,833$ | 855,833$ | RFA | ||||
Joe Thornton ![]() | C | 44 | 750,000$ | 750,000$ | UFA | ||||||
Joel Blomqvist ![]() | G | 21 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
Laurent Dauphin ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Mark Friedman ![]() | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Mark Kastelic ![]() | C | 24 | 821,667$ | 821,667$ | 835,000$ | 835,000$ | ![]() | ||||
Max Jones ![]() | LW/RW | 25 | 1,295,000$ | 1,295,000$ | 1,295,000$ | ![]() | |||||
Mikhail Berdin ![]() | G | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Olle Eriksson Ek ![]() | G | 24 | 750,000$ | 750,000$ | RFA | ||||||
Paul Ladue ![]() | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Phillip Di Giuseppe ![]() | LW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Quinton Byfield ![]() | C/LW | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Riley Nash ![]() ![]() | C | 34 | 750,000$ | 750,000$ | UFA | ||||||
Riley Sutter ![]() | C | 24 | 764,167$ | 764,167$ | 775,000$ | RFA | |||||
Sakari Manninen ![]() | C/LW | 31 | 750,000$ | 750,000$ | UFA | ||||||
Sam Poulin ![]() | RW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Slater Koekkoek ![]() | D | 29 | 925,000$ | 925,000$ | UFA | ||||||
Ville Koivunen ![]() | C/RW | 20 | 805,833$ | 805,833$ | 805,833$ | 805,833$ | RFA | ||||
Xavier Bourgault ![]() | C | 21 | 750,000$ | 925,000$ | 925,000$ | 925,000$ | RFA |
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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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 27 | 7 | 11 | 9 | 0 | 28 | 10 | 12 | 17 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 24 | 16 | 23 | 7 | 12 | 5 | 60.0% | 11.1% | 85.7% | 96.8 | FUN |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 9 | 11 | 6 | 0 | 22 | 6 | 8 | 16 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 26 | 19 | 21 | 6 | 12 | 6 | 50.0% | 7.7% | 86.4% | 94.1 | Unlucky |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 8 | 11 | 5 | 0 | 31 | 5 | 2 | 13 | 8 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 25 | 18 | 23 | 7 | 12 | 6 | 33.3% | 4.2% | 93.5% | 97.7 | DULL |
4 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 80 | 19 | 35 | 26 | 0 | 71 | 19 | 27 | 52 | 10 | 4 | 40.00% | 11 | 1 | 90.91% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 69 | 45 | 70 | 22 | 39 | 20 | 27.3% | 8.8% | 87.3% | 96.1 | Unlucky |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 26 | 10 | 10 | 6 | 0 | 20 | 4 | 2 | 13 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 24 | 17 | 22 | 7 | 13 | 6 | 75.0% | 15.4% | 95.0% | 110.4 | LUCKY |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 22 | 10 | 5 | 7 | 0 | 26 | 7 | 6 | 17 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 22 | 14 | 23 | 7 | 14 | 7 | 62.5% | 22.7% | 88.5% | 111.2 | FUN |
7 | ![]() | 6 | 3 | 1 | 0 | 2 | 0 | 0 | 0 | 21 | 13 | 8 | 10 | 0.833 | 21 | 32 | 53 | 0 | 0 | 4 | 8 | 7 | 2 | 169 | 44 | 66 | 57 | 2 | 161 | 42 | 22 | 120 | 23 | 6 | 26.09% | 11 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 142 | 97 | 140 | 46 | 79 | 39 | 53.6% | 12.4% | 91.9% | 104.4 | LUCKY |
8 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 31 | 6 | 13 | 12 | 0 | 26 | 3 | 12 | 25 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 1 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 23 | 15 | 22 | 7 | 13 | 6 | 66.7% | 6.5% | 96.2% | 102.6 | DULL |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 1 | 0 | 30 | 15 | 6 | 9 | 0 | 38 | 4 | 16 | 20 | 1 | 1 | 100.00% | 7 | 1 | 85.71% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 18 | 12 | 28 | 8 | 12 | 5 | 66.7% | 16.7% | 92.1% | 108.8 | LUCKY |
10 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 4 | 3 | 1 | 0 | 55 | 22 | 10 | 23 | 0 | 44 | 16 | 32 | 41 | 9 | 0 | 0.00% | 16 | 3 | 81.25% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 47 | 31 | 44 | 16 | 27 | 13 | 72.7% | 14.5% | 86.4% | 100.9 | FUN |
11 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 2 | 1 | 33 | 9 | 13 | 10 | 3 | 35 | 10 | 6 | 22 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 28 | 19 | 22 | 8 | 14 | 7 | 50.0% | 9.1% | 94.3% | 103.4 | LUCKY |
12 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 2 | 0 | 54 | 22 | 18 | 14 | 0 | 67 | 24 | 18 | 42 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 43 | 28 | 50 | 16 | 26 | 12 | 60.0% | 11.1% | 89.6% | 100.7 | FUN |
13 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 22 | 11 | 8 | 3 | 0 | 30 | 4 | 27 | 12 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 24 | 14 | 22 | 7 | 12 | 6 | 66.7% | 9.1% | 96.7% | 105.8 | LUCKY |
14 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 42 | 15 | 12 | 14 | 1 | 58 | 13 | 8 | 34 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 47 | 32 | 48 | 14 | 25 | 12 | 37.5% | 7.1% | 89.7% | 96.8 | Unlucky |
15 | ![]() | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 17 | 26 | 0 | 0 | 5 | 2 | 1 | 1 | 84 | 29 | 25 | 27 | 3 | 85 | 22 | 20 | 65 | 12 | 2 | 16.67% | 10 | 2 | 80.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 74 | 51 | 69 | 23 | 39 | 20 | 53.8% | 10.7% | 90.6% | 101.3 | FUN |
16 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 3 | 1 | 45 | 22 | 9 | 13 | 1 | 37 | 14 | 10 | 44 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 42 | 27 | 51 | 15 | 26 | 13 | 75.0% | 15.6% | 94.6% | 110.2 | LUCKY |
_Vs Division | 14 | 6 | 4 | 0 | 3 | 1 | 0 | 0 | 43 | 35 | 8 | 19 | 0.679 | 43 | 72 | 115 | 0 | 0 | 13 | 14 | 13 | 3 | 379 | 110 | 142 | 122 | 5 | 374 | 95 | 77 | 267 | 55 | 12 | 21.82% | 34 | 3 | 91.18% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 334 | 226 | 327 | 107 | 185 | 94 | 49.2% | 11.3% | 90.6% | 102.0 | FUN | |
_Vs Conference | 19 | 7 | 7 | 0 | 4 | 1 | 0 | 0 | 55 | 49 | 6 | 23 | 0.605 | 55 | 93 | 148 | 0 | 0 | 16 | 17 | 18 | 4 | 500 | 151 | 186 | 157 | 6 | 502 | 128 | 107 | 347 | 67 | 13 | 19.40% | 48 | 7 | 85.42% | 0 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 456 | 312 | 443 | 143 | 248 | 125 | 50.0% | 11.0% | 90.2% | 101.2 | FUN | |
_Since Last GM Reset | 29 | 14 | 8 | 0 | 5 | 1 | 1 | 0 | 88 | 71 | 17 | 41 | 0.707 | 88 | 150 | 238 | 0 | 0 | 31 | 24 | 27 | 6 | 770 | 258 | 263 | 241 | 10 | 779 | 203 | 228 | 553 | 99 | 16 | 16.16% | 99 | 14 | 85.86% | 1 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 684 | 462 | 688 | 223 | 381 | 189 | 55.8% | 11.4% | 90.9% | 102.3 | FUN | |
Total | 29 | 14 | 8 | 0 | 5 | 1 | 1 | 0 | 88 | 71 | 17 | 41 | 0.707 | 88 | 150 | 238 | 0 | 0 | 31 | 24 | 27 | 6 | 770 | 258 | 263 | 241 | 10 | 779 | 203 | 228 | 553 | 99 | 16 | 16.16% | 99 | 14 | 85.86% | 1 | 466 | 919 | 50.71% | 478 | 959 | 49.84% | 190 | 438 | 43.38% | 684 | 462 | 688 | 223 | 381 | 189 | 55.8% | 11.4% | 90.9% | 102.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 919 |
Neutral Zone Start | 438 |
Defensive Zone Start | 959 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1134 |
Faceoffs Lost | 1182 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.9 | 9.57 |
2nd Period | 18.0 | 20.31 |
3rd Period | 26.3 | 30.68 |
Overtime | 26.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 71 |
---|---|
PP Goal | 16 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 11 | 9 |
Lost | 4 | 4 |
Overtime Lost | 0 | 1 |
PP Attempt | 99 |
---|---|
PP Goal | 16 |
PK Attempt | 99 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 26.6 |
Shots Against | 26.9 |
Goals For | 3.0 |
Goals Against | 2.4 |
Hits | 19.1 |
Shots Blocked | 7.0 |
Pim | 7.9 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Mon, Oct 9 | ![]() | @ | ![]() | PIT5,PHI1 | RECAP |
Tue, Oct 10 | ![]() | @ | ![]() | PHI4,PIT5 (OT) | RECAP |
Thu, Oct 12 | ![]() | @ | ![]() | DET3,PIT2 | RECAP |
Fri, Oct 13 | ![]() | @ | ![]() | PIT2,WSH3 | RECAP |
Mon, Oct 16 | ![]() | @ | ![]() | CAR2,PIT3 | RECAP |
Thu, Oct 19 | ![]() | @ | ![]() | PIT4,WSH3 | RECAP |
Sat, Oct 21 | ![]() | @ | ![]() | WSH3,PIT1 | RECAP |
Sun, Oct 22 | ![]() | @ | ![]() | PIT3,PHI1 | RECAP |
Tue, Oct 24 | ![]() | @ | ![]() | PIT2,SJS4 | RECAP |
Thu, Oct 26 | ![]() | @ | ![]() | COL4,PIT5 | RECAP |
Sat, Oct 28 | ![]() | @ | ![]() | PIT3,PHI2 | RECAP |
Tue, Oct 31 | ![]() | @ | ![]() | CAR2,PIT3 (OT) | RECAP |
Thu, Nov 2 | ![]() | @ | ![]() | PIT2,LAK1 | RECAP |
Fri, Nov 3 | ![]() | @ | ![]() | BOS4,PIT3 | RECAP |
Sun, Nov 5 | ![]() | @ | ![]() | PHI3,PIT4 (OT) | RECAP |
Thu, Nov 9 | ![]() | @ | ![]() | NYI3,PIT5 | RECAP |
Sat, Nov 11 | ![]() | @ | ![]() | PIT5,CHI3 | RECAP |
Mon, Nov 13 | ![]() | @ | ![]() | TOR2,PIT3 (OT) | RECAP |
Tue, Nov 14 | ![]() | @ | ![]() | PIT0,TOR4 | RECAP |
Thu, Nov 16 | ![]() | @ | ![]() | BUF1,PIT4 | RECAP |
Sun, Nov 19 | ![]() | @ | ![]() | PIT2,WPG1 | RECAP |
Tue, Nov 21 | ![]() | @ | ![]() | CAR4,PIT3 | RECAP |
Wed, Nov 22 | ![]() | @ | ![]() | PIT1,PHI2 | RECAP |
Sat, Nov 25 | ![]() | @ | ![]() | NAS1,PIT5 | RECAP |
Mon, Nov 27 | ![]() | @ | ![]() | PIT1,CLB2 (OT) | RECAP |
Wed, Nov 29 | ![]() | @ | ![]() | PIT2,NAS1 (OT) | RECAP |
Fri, Dec 1 | ![]() | @ | ![]() | COL2,PIT3 | RECAP |
Sun, Dec 3 | ![]() | @ | ![]() | PIT4,SJS3 | RECAP |
Tue, Dec 5 | ![]() | @ | ![]() | CGY2,PIT3 (SO) | RECAP |
Fri, Dec 8 | ![]() | @ | ![]() | ||
Sun, Dec 10 | ![]() | @ | ![]() | ||
Tue, Dec 12 | ![]() | @ | ![]() | ||
Thu, Dec 14 | ![]() | @ | ![]() | ||
Sat, Dec 16 | ![]() | @ | ![]() | ||
Mon, Dec 18 | ![]() | @ | ![]() | ||
Wed, Dec 20 | ![]() | @ | ![]() | ||
Fri, Dec 22 | ![]() | @ | ![]() | ||
Sat, Dec 23 | ![]() | @ | ![]() | ||
Tue, Dec 26 | ![]() | @ | ![]() | ||
Thu, Dec 28 | ![]() | @ | ![]() | ||
Fri, Dec 29 | ![]() | @ | ![]() | ||
Mon, Jan 1 | ![]() | @ | ![]() | ||
Wed, Jan 3 | ![]() | @ | ![]() | ||
Fri, Jan 5 | ![]() | @ | ![]() | ||
Sat, Jan 6 | ![]() | @ | ![]() | ||
Tue, Jan 9 | ![]() | @ | ![]() | ||
Wed, Jan 10 | ![]() | @ | ![]() | ||
Sat, Jan 13 | ![]() | @ | ![]() | ||
Mon, Jan 15 | ![]() | @ | ![]() | ||
Thu, Jan 18 | ![]() | @ | ![]() | ||
Fri, Jan 19 | ![]() | @ | ![]() | ||
Mon, Jan 22 | ![]() | @ | ![]() | ||
Tue, Jan 23 | ![]() | @ | ![]() | ||
Fri, Jan 26 | ![]() | @ | ![]() | ||
Sun, Jan 28 | ![]() | @ | ![]() | ||
Tue, Jan 30 | ![]() | @ | ![]() | ||
Wed, Jan 31 | ![]() | @ | ![]() | ||
Sat, Feb 3 | ![]() | @ | ![]() | ||
Mon, Feb 5 | ![]() | @ | ![]() | ||
Wed, Feb 7 | ![]() | @ | ![]() | ||
Thu, Feb 8 | ![]() | @ | ![]() | ||
Mon, Feb 12 | ![]() | @ | ![]() | ||
Tue, Feb 13 | ![]() | @ | ![]() | ||
Sat, Feb 17 | ![]() | @ | ![]() | ||
Tue, Feb 20 | ![]() | @ | ![]() | ||
Wed, Feb 21 | ![]() | @ | ![]() | ||
Sun, Feb 25 | ![]() | @ | ![]() | ||
Tue, Feb 27 | ![]() | @ | ![]() | ||
Thu, Feb 29 | ![]() | @ | ![]() | ||
Sat, Mar 2 | ![]() | @ | ![]() | ||
Sun, Mar 3 | ![]() | @ | ![]() | ||
Wed, Mar 6 | ![]() | @ | ![]() | ||
Sat, Mar 9 | ![]() | @ | ![]() | ||
Tue, Mar 12 | ![]() | @ | ![]() | ||
Thu, Mar 14 | ![]() | @ | ![]() | ||
Sun, Mar 17 | ![]() | @ | ![]() | ||
Mon, Mar 18 | ![]() | @ | ![]() | ||
Wed, Mar 20 | ![]() | @ | ![]() | ||
Sat, Mar 23 | ![]() | @ | ![]() | ||
Sun, Mar 24 | ![]() | @ | ![]() | ||
Wed, Mar 27 | ![]() | @ | ![]() | ||
Sat, Mar 30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
86,556,547$ | 0$ | 86,556,547$ | 1,443,453$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | 88102 | 71849 | 28455 | 56244 | 14264 |
Attendance PCT | 97.89% | 95.80% | 94.85% | 93.74% | 95.09% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
26 | 17261 - 95.89% | 1,825,346$ | 27,380,188$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
86,556,547$ | 86,556,547$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
30,810,640$ | 86,556,547$ | 29,829,860$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
47,458,993$ | 115 | 504,839$ | 58,056,485$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
60,235,620$ | 86,556,547$ | 24,277,911$ | 13,627,945$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
---|---|---|---|---|---|---|
2024 | ![]() ![]() | ![]() ![]() | ![]() | |||
2025 | ![]() | |||||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Albert Wikman | ![]() | 2023 | 127 | Link | |
Anton Olsson | ![]() | 2021 | 72 | Link | |
Filip Eriksson | ![]() | 2023 | 165 | Link | |
Janne Peltonen | ![]() | 2023 | 195 | Link | |
Jeremy Langlois | ![]() | 2022 | 94 | Link | |
Linus Lindstrand Kronholm | ![]() | 2018 | 117 | ||
Luca Munzenberger | ![]() | 2021 | 90 | Link | |
Mattias Havelid | ![]() | 2022 | 45 | Link | |
Melker Thelin | ![]() | 2023 | 134 | Link | |
Rodwin Dionicio | ![]() | 2023 | 129 | Link | |
Rudy Guimond | ![]() | 2023 | 169 | Link | |
Toni Utunen | ![]() | 2018 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
---|---|---|---|---|---|---|
2024 | ![]() ![]() | ![]() ![]() | ![]() | |||
2025 | ![]() | |||||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Albert Wikman | ![]() | 2023 | 127 | Link | |
Anton Olsson | ![]() | 2021 | 72 | Link | |
Filip Eriksson | ![]() | 2023 | 165 | Link | |
Janne Peltonen | ![]() | 2023 | 195 | Link | |
Jeremy Langlois | ![]() | 2022 | 94 | Link | |
Linus Lindstrand Kronholm | ![]() | 2018 | 117 | ||
Luca Munzenberger | ![]() | 2021 | 90 | Link | |
Mattias Havelid | ![]() | 2022 | 45 | Link | |
Melker Thelin | ![]() | 2023 | 134 | Link | |
Rodwin Dionicio | ![]() | 2023 | 129 | Link | |
Rudy Guimond | ![]() | 2023 | 169 | Link | |
Toni Utunen | ![]() | 2018 | Link |
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