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Pittsburgh Penguins 10-6-1, 21pts · 4th in Eastern Conference |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 72 | 50 | 75 | 87 | 73 | 90 | 85 | 85 | 50 | 79 | 79 | 75 | 84 | 78 | 68 | 1 | 81 | 0 | 28 | 4,500,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 71 | 50 | 69 | 89 | 80 | 89 | 78 | 92 | 40 | 81 | 92 | 69 | 91 | 60 | 53 | 1 | 81 | 0 | 26 | 9,000,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 68 | 40 | 94 | 81 | 86 | 86 | 83 | 84 | 40 | 77 | 77 | 73 | 81 | 65 | 55 | 1 | 88 | 0 | 22 | 2,100,000$/1yrs | |||
![]() | 0 | C | 100.00 | 70 | 45 | 86 | 85 | 78 | 89 | 89 | 81 | 70 | 78 | 73 | 84 | 80 | 83 | 73 | 1 | 83 | 0 | 29 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 36 | 93 | 68 | 70 | 85 | 86 | 65 | 74 | 66 | 67 | 60 | 68 | 65 | 67 | 52 | 83 | 0 | 26 | 758,333$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 40 | 93 | 87 | 76 | 87 | 89 | 86 | 84 | 82 | 74 | 85 | 82 | 83 | 73 | 1 | 84 | 0 | 30 | 5,900,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 63 | 59 | 78 | 78 | 86 | 87 | 84 | 67 | 77 | 75 | 74 | 79 | 83 | 73 | 1 | 85 | 0 | 29 | 1,700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 76 | 66 | 76 | 86 | 87 | 85 | 76 | 40 | 72 | 65 | 93 | 72 | 70 | 60 | 1 | 81 | 0 | 27 | 1,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 70 | 50 | 73 | 94 | 77 | 93 | 81 | 91 | 40 | 86 | 81 | 86 | 89 | 65 | 55 | 1 | 78 | 0 | 25 | 9,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 68 | 50 | 75 | 90 | 82 | 93 | 85 | 92 | 40 | 91 | 76 | 84 | 86 | 70 | 66 | 1 | 82 | 0 | 24 | 8,450,000$/6yrs | |||
![]() | 0 | D | 100.00 | 78 | 61 | 68 | 75 | 88 | 87 | 83 | 77 | 40 | 70 | 69 | 91 | 74 | 65 | 55 | 1 | 83 | 0 | 31 | 2,450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 51 | 69 | 83 | 86 | 92 | 90 | 88 | 40 | 84 | 75 | 91 | 82 | 85 | 75 | 1 | 81 | 0 | 29 | 6,500,000$/7yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 99.00 | 73 | 55 | 73 | 88 | 85 | 87 | 78 | 91 | 80 | 80 | 86 | 72 | 88 | 58 | 50 | 1 | 85 | 0 | 22 | 7,000,000$/7yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 55 | 85 | 73 | 78 | 83 | 89 | 74 | 50 | 66 | 68 | 66 | 72 | 91 | 81 | 1 | 80 | 0 | 34 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 45 | 90 | 79 | 75 | 84 | 90 | 80 | 55 | 72 | 72 | 74 | 77 | 85 | 75 | 1 | 82 | 0 | 31 | 1,300,000$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 74 | 50 | 71 | 90 | 73 | 90 | 87 | 92 | 55 | 82 | 90 | 71 | 91 | 78 | 68 | 1 | 83 | 0 | 29 | 6,000,000$/1yrs | |||
![]() | 0 | C | 95.00 | 72 | 55 | 73 | 84 | 90 | 88 | 86 | 95 | 68 | 85 | 94 | 73 | 91 | 75 | 65 | 1 | 82 | 0 | 26 | 7,142,828$/7yrs | |||
![]() | 0 | D | 100.00 | 77 | 55 | 73 | 78 | 80 | 89 | 86 | 75 | 40 | 75 | 63 | 91 | 72 | 75 | 65 | 1 | 84 | 0 | 31 | 1,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 51 | 69 | 74 | 80 | 87 | 93 | 83 | 40 | 78 | 66 | 78 | 74 | 88 | 78 | 1 | 81 | 0 | 34 | 1,780,000$/1yrs | |||
TEAM AVERAGE | 99.63 | 71 | 51 | 77 | 82 | 80 | 88 | 86 | 84 | 53 | 78 | 76 | 78 | 81 | 75 | 66 | 4 | 82 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 94 | 90 | 92 | 90 | 93 | 94 | 94 | 94 | 95 | 93 | 85 | 80 | 73 | 1 | 83 | 0 | 30 | 4,725,000$/2yrs |
![]() | 0 | 100.00 | 83 | 88 | 90 | 90 | 91 | 85 | 82 | 82 | 83 | 88 | 83 | 70 | 63 | 1 | 84 | 0 | 27 | 1,000,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 89 | 89 | 91 | 90 | 92 | 90 | 88 | 88 | 89 | 91 | 84 | 75 | 68 | 1 | 84 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dan Bylsma | 65 | 73 | 74 | 62 | 62 | 57 | 1 | USA | 52 | 1 | 1,000,000$ |
General Manager | Jeremy Lyrette |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matthew Boldy | 0 | LW/RW | 17 | 6 | 14 | 20 | -3 | 2 | 0 | 44 | 56 | 26 | 27 | 10.71% | 11 | 20.38 | 2 | 4 | 6 | 44 | 0 | 0 | 0 | 28 | 1 | 0 | 55.17% | 29 | 8 | 5 | 0 | 0 | 1.15 | 1 | 1 | ||
2 | Jake Guentzel | 0 | LW/RW | 17 | 9 | 11 | 20 | -4 | 6 | 0 | 31 | 62 | 19 | 38 | 14.52% | 5 | 21.41 | 3 | 2 | 5 | 44 | 0 | 0 | 0 | 41 | 0 | 1 | 40.48% | 42 | 12 | 7 | 0 | 0 | 1.10 | 0 | 1 | ||
3 | Tage Thompson | 0 | C | 16 | 6 | 11 | 17 | -3 | 11 | 5 | 41 | 54 | 17 | 27 | 11.11% | 9 | 24.73 | 0 | 6 | 6 | 42 | 0 | 0 | 0 | 36 | 1 | 1 | 45.29% | 510 | 8 | 5 | 1 | 0 | 0.86 | 0 | 1 | ||
4 | Kirill Kaprizov | 0 | LW | 17 | 3 | 9 | 12 | 4 | 6 | 0 | 29 | 51 | 16 | 23 | 5.88% | 7 | 17.60 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 1 | 0 | 0 | 12.50% | 16 | 13 | 5 | 0 | 0 | 0.80 | 0 | 0 | ||
5 | Hampus Lindholm | 0 | D | 17 | 3 | 7 | 10 | 4 | 27 | 5 | 24 | 25 | 5 | 8 | 12.00% | 21 | 23.82 | 2 | 0 | 2 | 47 | 0 | 0 | 0 | 38 | 1 | 0 | 0.00% | 0 | 4 | 15 | 0 | 0 | 0.49 | 0 | 0 | ||
6 | Cale Makar | 0 | D | 17 | 3 | 6 | 9 | 4 | 15 | 5 | 30 | 34 | 16 | 24 | 8.82% | 25 | 27.28 | 1 | 0 | 1 | 49 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 16 | 16 | 0 | 0 | 0.39 | 0 | 0 | ||
7 | William Karlsson | 0 | C | 17 | 5 | 4 | 9 | 0 | 0 | 0 | 24 | 39 | 9 | 27 | 12.82% | 5 | 18.58 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 17 | 2 | 1 | 58.02% | 243 | 4 | 8 | 0 | 0 | 0.57 | 0 | 1 | ||
8 | Alex Wennberg | 0 | C | 17 | 5 | 3 | 8 | 5 | 0 | 0 | 18 | 39 | 7 | 27 | 12.82% | 2 | 14.56 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 57.35% | 136 | 10 | 5 | 0 | 0 | 0.65 | 0 | 0 | ||
9 | Kaapo Kakko | 0 | RW | 13 | 3 | 4 | 7 | 3 | 0 | 0 | 13 | 32 | 6 | 27 | 9.38% | 1 | 17.42 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 16 | 4 | 2 | 0 | 0 | 0.62 | 0 | 0 | ||
10 | Artturi Lehkonen | 0 | LW/RW | 17 | 2 | 4 | 6 | 3 | 7 | 5 | 26 | 35 | 11 | 16 | 5.71% | 4 | 17.79 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 7 | 1 | 0 | 50.00% | 12 | 5 | 5 | 0 | 0 | 0.40 | 0 | 0 | ||
11 | Matt Nieto | 0 | LW/RW | 17 | 2 | 3 | 5 | 3 | 0 | 0 | 13 | 17 | 3 | 13 | 11.76% | 5 | 13.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 55.56% | 9 | 1 | 6 | 0 | 0 | 0.45 | 0 | 0 | ||
12 | Ryan Hartman | 0 | C/RW | 17 | 2 | 3 | 5 | 4 | 19 | 5 | 26 | 22 | 12 | 18 | 9.09% | 4 | 13.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 29.41% | 17 | 3 | 10 | 0 | 0 | 0.43 | 0 | 0 | ||
13 | Miro Heiskanen | 0 | D | 17 | 0 | 4 | 4 | -9 | 6 | 0 | 17 | 24 | 13 | 12 | 0.00% | 14 | 19.48 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 5 | 11 | 0 | 0 | 0.24 | 0 | 0 | ||
14 | Justin Holl | 0 | D | 17 | 0 | 2 | 2 | 6 | 2 | 0 | 14 | 7 | 2 | 4 | 0.00% | 8 | 12.59 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 5 | 0 | 0 | 0.19 | 0 | 0 | ||
15 | Alex Barre-Boulet | 0 | C/LW/RW | 17 | 1 | 1 | 2 | -1 | 0 | 0 | 2 | 6 | 1 | 4 | 16.67% | 1 | 5.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 53.85% | 26 | 1 | 3 | 0 | 0 | 0.40 | 0 | 0 | ||
16 | Jacob Middleton | 0 | D | 17 | 0 | 1 | 1 | 6 | 16 | 10 | 16 | 2 | 6 | 3 | 0.00% | 10 | 13.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 2 | 8 | 0 | 0 | 0.09 | 0 | 0 | ||
17 | Jani Hakanpää | 0 | D | 17 | 0 | 1 | 1 | -10 | 8 | 0 | 25 | 10 | 7 | 6 | 0.00% | 16 | 19.32 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 2 | 11 | 0 | 0 | 0.06 | 0 | 0 | ||
18 | Sam Gagner | 0 | C/RW | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 2 | 0.00% | 0 | 7.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Kevin Shattenkirk | 0 | D | 17 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 0.00% | 3 | 4.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 303 | 50 | 88 | 138 | 14 | 125 | 35 | 396 | 517 | 177 | 306 | 9.67% | 151 | 16.89 | 8 | 13 | 21 | 418 | 0 | 0 | 0 | 321 | 8 | 3 | 49.15% | 1058 | 101 | 128 | 1 | 0 | 0.54 | 1 | 4 |
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 | Linus Ullmark | 17 | 10 | 6 | 1 | 0.917 | 2.63 | 1003 | 0 | 0 | 44 | 528 | 210 | 0 | 0 | 1.000 | 4 | 17 | 0 | 2 | 3 | 1 | |
2 | Sam Montembeault | 1 | 0 | 0 | 0 | 0.923 | 2.40 | 25 | 0 | 0 | 1 | 13 | 5 | 0 | 0 | 0.000 | 0 | 0 | 17 | 0 | 0 | 0 | |
Team Total or Average | 18 | 10 | 6 | 1 | 0.917 | 2.63 | 1028 | 0 | 0 | 45 | 541 | 215 | 0 | 0 | 1.000 | 4 | 17 | 17 | 2 | 3 | 1 |
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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 46 | 8 | 31 | 7 | 0 | 55 | 17 | 10 | 49 | 9 | 1 | 11.11% | 4 | 0 | 100.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 43 | 24 | 43 | 18 | 33 | 17 | 42.9% | 8.7% | 92.7% | 101.4 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 3 | 0 | 0 | 52 | 15 | 20 | 17 | 0 | 54 | 11 | 17 | 44 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 43 | 26 | 42 | 17 | 33 | 15 | 63.6% | 13.5% | 90.7% | 104.2 | FUN | |
3 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 3 | 1 | 1 | 1 | 58 | 19 | 24 | 14 | 5 | 62 | 19 | 10 | 47 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 47 | 27 | 41 | 16 | 35 | 19 | 75.0% | 10.3% | 95.2% | 105.5 | LUCKY | |
4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 1 | 1 | 4 | 0 | 55 | 14 | 18 | 23 | 0 | 67 | 13 | 12 | 49 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 43 | 25 | 42 | 17 | 34 | 17 | 50.0% | 10.9% | 91.0% | 102.0 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 67 | 20 | 22 | 25 | 0 | 68 | 15 | 18 | 41 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 45 | 27 | 41 | 15 | 32 | 17 | 44.4% | 7.5% | 91.2% | 98.6 | DULL | |
6 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 2 | 1 | 65 | 13 | 20 | 30 | 2 | 69 | 25 | 27 | 53 | 6 | 1 | 16.67% | 6 | 2 | 66.67% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 43 | 24 | 43 | 17 | 34 | 17 | 50.0% | 7.7% | 91.3% | 99.0 | DULL | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 50 | 10 | 20 | 20 | 0 | 65 | 23 | 14 | 53 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 42 | 23 | 44 | 18 | 33 | 16 | 16.7% | 4.0% | 92.3% | 96.3 | DULL | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 36 | 16 | 5 | 14 | 1 | 38 | 15 | 9 | 12 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 24 | 15 | 19 | 8 | 15 | 8 | 50.0% | 8.3% | 94.7% | 103.1 | DULL | |
9 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 1.000 | 11 | 18 | 29 | 0 | 0 | 3 | 3 | 4 | 1 | 68 | 21 | 19 | 19 | 9 | 63 | 18 | 10 | 44 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 45 | 28 | 43 | 17 | 34 | 16 | 56.3% | 16.2% | 87.3% | 103.5 | FUN | |
_Vs Division | 12 | 6 | 3 | 0 | 1 | 1 | 1 | 0 | 39 | 32 | 7 | 17 | 0.708 | 39 | 66 | 105 | 0 | 0 | 11 | 14 | 12 | 2 | 346 | 97 | 134 | 105 | 14 | 369 | 93 | 77 | 274 | 32 | 5 | 15.63% | 30 | 5 | 83.33% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 269 | 158 | 256 | 103 | 204 | 104 | 55.7% | 11.3% | 91.3% | 102.6 | LUCKY | |
_Vs Conference | 13 | 6 | 3 | 0 | 2 | 1 | 1 | 0 | 42 | 34 | 8 | 19 | 0.731 | 42 | 72 | 114 | 0 | 0 | 11 | 15 | 13 | 3 | 382 | 113 | 139 | 119 | 15 | 407 | 108 | 86 | 286 | 36 | 6 | 16.67% | 32 | 5 | 84.38% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 293 | 174 | 276 | 111 | 220 | 112 | 55.4% | 11.0% | 91.6% | 102.6 | LUCKY | |
_Since Last GM Reset | 17 | 6 | 6 | 0 | 3 | 1 | 1 | 0 | 49 | 45 | 4 | 21 | 0.618 | 49 | 85 | 134 | 0 | 0 | 12 | 18 | 15 | 4 | 497 | 136 | 179 | 169 | 17 | 541 | 156 | 127 | 392 | 48 | 8 | 16.67% | 45 | 7 | 84.44% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 378 | 222 | 363 | 147 | 287 | 147 | 51.9% | 9.9% | 91.7% | 101.5 | LUCKY | |
Total | 17 | 6 | 6 | 0 | 3 | 1 | 1 | 0 | 49 | 45 | 4 | 21 | 0.618 | 49 | 85 | 134 | 0 | 0 | 12 | 18 | 15 | 4 | 497 | 136 | 179 | 169 | 17 | 541 | 156 | 127 | 392 | 48 | 8 | 16.67% | 45 | 7 | 84.44% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 378 | 222 | 363 | 147 | 287 | 147 | 51.9% | 9.9% | 91.7% | 101.5 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 370 |
Neutral Zone Start | 248 |
Defensive Zone Start | 417 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 518 |
Faceoffs Lost | 517 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 18.5 | 20.31 |
3rd Period | 28.5 | 30.68 |
Overtime | 29.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 41 |
---|---|
PP Goal | 8 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 6 |
Lost | 2 | 4 |
Overtime Lost | 1 | 0 |
PP Attempt | 48 |
---|---|
PP Goal | 8 |
PK Attempt | 45 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 29.2 |
Shots Against | 31.8 |
Goals For | 2.9 |
Goals Against | 2.6 |
Hits | 23.1 |
Shots Blocked | 9.2 |
Pim | 7.5 |
Projected Total Cap Hit | 83,556,160$ |
Projected Cap Space | 1,443,840$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 15,667,134$ |
Players In Salary Cap | 21 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Barre-Boulet ![]() | C/LW/RW | 26 | 758,333$ | 758,333$ | RFA | ||||||
Alex Wennberg ![]() | C | 29 | 750,000$ | 750,000$ | |||||||
Artturi Lehkonen ![]() | LW/RW | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Cale Makar ![]() | D | 25 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | ||||
Hampus Lindholm | D | 29 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA |
Jacob Middleton ![]() | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Jake Guentzel | LW/RW | 29 | 6,000,000$ | 6,000,000$ | |||||||
Jani Hakanpää ![]() | D | 31 | 2,450,000$ | 2,450,000$ | UFA | ||||||
Justin Holl ![]() | D | 31 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
Kaapo Kakko ![]() | RW | 22 | 2,100,000$ | 2,100,000$ | RFA | ||||||
Kevin Shattenkirk | D | 34 | 1,780,000$ | 1,780,000$ | UFA | ||||||
Kirill Kaprizov ![]() | LW | 26 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | ||||
Linus Ullmark | G | 30 | 4,725,000$ | 4,725,000$ | 4,725,000$ | UFA | |||||
Matt Nieto ![]() | LW/RW | 31 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Matthew Boldy ![]() | LW/RW | 22 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |
Miro Heiskanen ![]() | D | 24 | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | ||
Ryan Hartman | C/RW | 29 | 1,700,000$ | 1,700,000$ | |||||||
Sam Gagner ![]() | C/RW | 34 | 750,000$ | 750,000$ | UFA | ||||||
Sam Montembeault ![]() | G | 27 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Tage Thompson ![]() | C | 26 | 7,142,828$ | 7,142,827$ | 7,142,827$ | 7,142,827$ | 7,142,827$ | 7,142,827$ | 7,142,827$ | 7,142,827$ | UFA |
William Karlsson | C | 30 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Benoit-Olivier Groulx ![]() | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Dakota Mermis ![]() | D | 29 | 750,000$ | 750,000$ | |||||||
Kevin Rooney ![]() | C | 30 | 1,477,000$ | 1,477,000$ | UFA | ||||||
Olivier Rodrigue ![]() | G | 23 | 750,000$ | 750,000$ | RFA | ||||||
Victor Soderstrom ![]() | D | 22 | 863,333$ | 863,333$ | RFA |
Forward Lines | |||||||
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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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 46 | 8 | 31 | 7 | 0 | 55 | 17 | 10 | 49 | 9 | 1 | 11.11% | 4 | 0 | 100.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 43 | 24 | 43 | 18 | 33 | 17 | 42.9% | 8.7% | 92.7% | 101.4 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 3 | 0 | 0 | 52 | 15 | 20 | 17 | 0 | 54 | 11 | 17 | 44 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 43 | 26 | 42 | 17 | 33 | 15 | 63.6% | 13.5% | 90.7% | 104.2 | FUN | |
3 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 3 | 1 | 1 | 1 | 58 | 19 | 24 | 14 | 5 | 62 | 19 | 10 | 47 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 47 | 27 | 41 | 16 | 35 | 19 | 75.0% | 10.3% | 95.2% | 105.5 | LUCKY | |
4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 1 | 1 | 4 | 0 | 55 | 14 | 18 | 23 | 0 | 67 | 13 | 12 | 49 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 43 | 25 | 42 | 17 | 34 | 17 | 50.0% | 10.9% | 91.0% | 102.0 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 67 | 20 | 22 | 25 | 0 | 68 | 15 | 18 | 41 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 45 | 27 | 41 | 15 | 32 | 17 | 44.4% | 7.5% | 91.2% | 98.6 | DULL | |
6 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 2 | 1 | 65 | 13 | 20 | 30 | 2 | 69 | 25 | 27 | 53 | 6 | 1 | 16.67% | 6 | 2 | 66.67% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 43 | 24 | 43 | 17 | 34 | 17 | 50.0% | 7.7% | 91.3% | 99.0 | DULL | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 50 | 10 | 20 | 20 | 0 | 65 | 23 | 14 | 53 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 42 | 23 | 44 | 18 | 33 | 16 | 16.7% | 4.0% | 92.3% | 96.3 | DULL | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 36 | 16 | 5 | 14 | 1 | 38 | 15 | 9 | 12 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 24 | 15 | 19 | 8 | 15 | 8 | 50.0% | 8.3% | 94.7% | 103.1 | DULL | |
9 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 1.000 | 11 | 18 | 29 | 0 | 0 | 3 | 3 | 4 | 1 | 68 | 21 | 19 | 19 | 9 | 63 | 18 | 10 | 44 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 45 | 28 | 43 | 17 | 34 | 16 | 56.3% | 16.2% | 87.3% | 103.5 | FUN | |
_Vs Division | 12 | 6 | 3 | 0 | 1 | 1 | 1 | 0 | 39 | 32 | 7 | 17 | 0.708 | 39 | 66 | 105 | 0 | 0 | 11 | 14 | 12 | 2 | 346 | 97 | 134 | 105 | 14 | 369 | 93 | 77 | 274 | 32 | 5 | 15.63% | 30 | 5 | 83.33% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 269 | 158 | 256 | 103 | 204 | 104 | 55.7% | 11.3% | 91.3% | 102.6 | LUCKY | |
_Vs Conference | 13 | 6 | 3 | 0 | 2 | 1 | 1 | 0 | 42 | 34 | 8 | 19 | 0.731 | 42 | 72 | 114 | 0 | 0 | 11 | 15 | 13 | 3 | 382 | 113 | 139 | 119 | 15 | 407 | 108 | 86 | 286 | 36 | 6 | 16.67% | 32 | 5 | 84.38% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 293 | 174 | 276 | 111 | 220 | 112 | 55.4% | 11.0% | 91.6% | 102.6 | LUCKY | |
_Since Last GM Reset | 17 | 6 | 6 | 0 | 3 | 1 | 1 | 0 | 49 | 45 | 4 | 21 | 0.618 | 49 | 85 | 134 | 0 | 0 | 12 | 18 | 15 | 4 | 497 | 136 | 179 | 169 | 17 | 541 | 156 | 127 | 392 | 48 | 8 | 16.67% | 45 | 7 | 84.44% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 378 | 222 | 363 | 147 | 287 | 147 | 51.9% | 9.9% | 91.7% | 101.5 | LUCKY | |
Total | 17 | 6 | 6 | 0 | 3 | 1 | 1 | 0 | 49 | 45 | 4 | 21 | 0.618 | 49 | 85 | 134 | 0 | 0 | 12 | 18 | 15 | 4 | 497 | 136 | 179 | 169 | 17 | 541 | 156 | 127 | 392 | 48 | 8 | 16.67% | 45 | 7 | 84.44% | 0 | 181 | 370 | 48.92% | 206 | 417 | 49.40% | 131 | 248 | 52.82% | 378 | 222 | 363 | 147 | 287 | 147 | 51.9% | 9.9% | 91.7% | 101.5 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 370 |
Neutral Zone Start | 248 |
Defensive Zone Start | 417 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 518 |
Faceoffs Lost | 517 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 18.5 | 20.31 |
3rd Period | 28.5 | 30.68 |
Overtime | 29.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 41 |
---|---|
PP Goal | 8 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 6 |
Lost | 2 | 4 |
Overtime Lost | 1 | 0 |
PP Attempt | 48 |
---|---|
PP Goal | 8 |
PK Attempt | 45 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 29.2 |
Shots Against | 31.8 |
Goals For | 2.9 |
Goals Against | 2.6 |
Hits | 23.1 |
Shots Blocked | 9.2 |
Pim | 7.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-08 | VS | PIT2,MIN4 | RECAP | |||||||||||
2023-10-11 | VS | WSH1,PIT2 (SO) | RECAP | |||||||||||
2023-10-14 | VS | BOS2,PIT3 (OT) | RECAP | |||||||||||
2023-10-20 | VS | NYR5,PIT7 | RECAP | |||||||||||
2023-10-22 | VS | PIT3,NJD2 | RECAP | |||||||||||
2023-10-23 | VS | PIT3,PHI1 | RECAP | |||||||||||
2023-10-26 | VS | PIT4,LAK3 (OT) | RECAP | |||||||||||
2023-10-28 | VS | PIT4,NYR3 (OT) | RECAP | |||||||||||
2023-10-30 | VS | CAR5,PIT2 | RECAP | |||||||||||
2023-11-02 | VS | PIT1,PHI3 | RECAP | |||||||||||
2023-11-06 | VS | WSH2,PIT4 | RECAP | |||||||||||
2023-11-08 | VS | PIT5,NYI2 | RECAP | |||||||||||
2023-11-12 | VS | NYI3,PIT2 | RECAP | |||||||||||
2023-11-14 | VS | PIT0,MIN1 | RECAP | |||||||||||
2023-11-16 | VS | PIT1,LAK3 | RECAP | |||||||||||
2023-11-18 | VS | NJD4,PIT3 (OT) | RECAP | |||||||||||
2023-11-20 | VS | PIT3,CAR1 | RECAP | |||||||||||
2023-11-23 | VS | |||||||||||||
2023-11-24 | VS | |||||||||||||
2023-11-30 | VS | |||||||||||||
2023-12-04 | VS | |||||||||||||
2023-12-06 | VS | |||||||||||||
2023-12-10 | VS | |||||||||||||
2023-12-12 | VS | |||||||||||||
2023-12-14 | VS | |||||||||||||
2023-12-17 | VS | |||||||||||||
2023-12-19 | VS | |||||||||||||
2023-12-21 | VS | |||||||||||||
2023-12-22 | VS | |||||||||||||
2023-12-27 | VS | |||||||||||||
2023-12-30 | VS | |||||||||||||
2024-01-01 | VS | |||||||||||||
2024-01-02 | VS | |||||||||||||
2024-01-08 | VS | |||||||||||||
2024-01-10 | VS | |||||||||||||
2024-01-12 | VS | |||||||||||||
2024-01-15 | VS | |||||||||||||
2024-01-17 | VS | |||||||||||||
2024-01-18 | VS | |||||||||||||
2024-01-23 | VS | |||||||||||||
2024-01-28 | VS | |||||||||||||
2024-01-31 | VS | |||||||||||||
2024-02-02 | VS | |||||||||||||
2024-02-05 | VS | |||||||||||||
2024-02-07 | VS | |||||||||||||
2024-02-10 | VS | |||||||||||||
2024-02-13 | VS | |||||||||||||
2024-02-16 | VS | |||||||||||||
2024-02-19 | VS | |||||||||||||
2024-02-20 | VS | |||||||||||||
2024-02-25 | VS | |||||||||||||
2024-02-27 | VS | |||||||||||||
2024-03-02 | VS | |||||||||||||
2024-03-05 | VS | |||||||||||||
2024-03-07 | VS | |||||||||||||
2024-03-10 | VS | |||||||||||||
2024-03-13 | VS | |||||||||||||
2024-03-15 | VS | |||||||||||||
2024-03-17 | VS | |||||||||||||
2024-03-19 | VS | |||||||||||||
2024-03-23 | VS | |||||||||||||
2024-03-25 | VS | |||||||||||||
2024-03-28 | VS | |||||||||||||
2024-03-30 | VS | |||||||||||||
2024-03-31 | VS | |||||||||||||
2024-04-05 | VS | |||||||||||||
2024-04-09 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-04-11 | VS | |||||||||||||
2024-04-14 | VS | |||||||||||||
2024-04-16 | VS | |||||||||||||
2024-04-17 | VS | |||||||||||||
2024-04-20 | VS | |||||||||||||
2024-04-22 | VS | |||||||||||||
2024-04-28 | VS | |||||||||||||
2024-04-30 | VS | |||||||||||||
2024-05-04 | VS | |||||||||||||
2024-05-08 | VS | |||||||||||||
2024-05-10 | VS | |||||||||||||
2024-05-14 | VS | |||||||||||||
2024-05-17 | VS | |||||||||||||
2024-05-24 | VS | |||||||||||||
2024-05-31 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,556,160$ | 0$ | 83,556,160$ | 1,443,840$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | PPG Paints Arena | |
City | Pittsburgh | ||
Capacity | 18387 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 3387 | 3000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 36682 | 30488 | 18970 | 21000 | 7000 |
Attendance PCT | 87.34% | 87.11% | 80.01% | 100.00% | 100.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
34 | 16306 - 88.68% | 2,054,786$ | 14,383,500$ | 18387 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,556,160$ | 83,556,161$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
15,858,031$ | 83,556,160$ | 15,667,134$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
69,862,714$ | 195 | 350,855$ | 68,416,725$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
69,590,226$ | 83,556,160$ | 112,232,093$ | 118,263,049$ |
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 |
---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Christian Kyrou | |||||
David Farrance | |||||
Evan Nause | |||||
Filip Bysted | |||||
Isaac Beliveau | |||||
Jiri kulich | |||||
Marco Kasper | |||||
Nathan Gaucher | |||||
Nathan Legare | |||||
Oliver Kapanen | |||||
Radim Zohorna | |||||
Riley Kidney | |||||
Ryan Chesley | |||||
Sebastian Cossa | 2021 | 11 | |||
Tristan Broz | 2021 | 41 | |||
Zach Dean | 2021 | 24 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Christian Kyrou | |||||
David Farrance | |||||
Evan Nause | |||||
Filip Bysted | |||||
Isaac Beliveau | |||||
Jiri kulich | |||||
Marco Kasper | |||||
Nathan Gaucher | |||||
Nathan Legare | |||||
Oliver Kapanen | |||||
Radim Zohorna | |||||
Riley Kidney | |||||
Ryan Chesley | |||||
Sebastian Cossa | 2021 | 11 | |||
Tristan Broz | 2021 | 41 | |||
Zach Dean | 2021 | 24 |
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