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Full Scoreboard »» |
Pittsburgh Penguins 13-4-0, 26pts · 2nd 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 | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor McDavid (A) | C | 100.00 | 73 | 50 | 73 | 94 | 80 | 90 | 88 | 97 | 79 | 97 | 97 | 82 | 96 | 79 | 81 | 1 | 87 | 26 | 12,000,000$/4yrs | |||||
Elias Pettersson | C/LW | 100.00 | 72 | 47 | 92 | 95 | 77 | 90 | 84 | 93 | 69 | 89 | 90 | 86 | 93 | 69 | 63 | 1 | 84 | 24 | 6,500,000$/3yrs | |||||
Reilly Smith (A) | LW/RW | 100.00 | 72 | 47 | 90 | 84 | 74 | 87 | 91 | 86 | 45 | 78 | 80 | 75 | 83 | 87 | 83 | 1 | 79 | 32 | 4,000,000$/2yrs | |||||
Andrei Svechnikov | LW/RW | 100.00 | 80 | 52 | 64 | 84 | 83 | 87 | 83 | 89 | 40 | 81 | 82 | 69 | 85 | 69 | 59 | 1 | 78 | 23 | 5,500,000$/3yrs | |||||
Barrett Hayton | C/LW | 100.00 | 74 | 50 | 74 | 80 | 86 | 88 | 82 | 83 | 76 | 77 | 75 | 74 | 80 | 64 | 54 | 1 | 76 | 23 | 3,000,000$/4yrs | |||||
Ryan Strome | C/RW | 100.00 | 67 | 63 | 66 | 76 | 77 | 87 | 90 | 85 | 68 | 79 | 76 | 67 | 79 | 84 | 76 | 1 | 76 | 29 | 3,900,000$/3yrs | |||||
Andre Burakovsky | LW/RW | 100.00 | 66 | 47 | 85 | 74 | 83 | 86 | 85 | 84 | 43 | 79 | 75 | 68 | 77 | 82 | 72 | 1 | 75 | 28 | 5,000,000$/2yrs | |||||
Christian Fischer | LW/RW | 100.00 | 76 | 47 | 85 | 74 | 86 | 85 | 85 | 79 | 53 | 71 | 71 | 73 | 74 | 77 | 71 | 1 | 74 | 26 | 1,600,000$/1yrs | |||||
Yakov Trenin | C/LW | 100.00 | 82 | 61 | 71 | 78 | 83 | 85 | 82 | 81 | 50 | 71 | 73 | 75 | 78 | 64 | 54 | 1 | 74 | 26 | 1,800,000$/2yrs | |||||
Michael Amadio | C/LW/RW | 100.00 | 74 | 47 | 88 | 75 | 82 | 82 | 84 | 79 | 52 | 70 | 75 | 70 | 76 | 74 | 64 | 1 | 73 | 27 | 975,000$/3yrs | |||||
Sam Steel | C/LW | 100.00 | 69 | 47 | 85 | 79 | 76 | 83 | 82 | 77 | 73 | 75 | 69 | 71 | 75 | 69 | 59 | 1 | 73 | 25 | 975,000$/3yrs | |||||
Ryan McLeod | C/LW/RW | 100.00 | 71 | 47 | 87 | 75 | 86 | 84 | 78 | 76 | 73 | 72 | 70 | 73 | 74 | 59 | 52 | 1 | 72 | 23 | 2,000,000$/3yrs | |||||
Roman Josi (C) | D | 100.00 | 67 | 50 | 71 | 86 | 79 | 93 | 90 | 93 | 40 | 87 | 83 | 82 | 88 | 87 | 89 | 1 | 82 | 33 | 7,200,000$/1yrs | |||||
Brenden Dillon | D | 100.00 | 77 | 78 | 66 | 74 | 87 | 89 | 92 | 77 | 40 | 77 | 63 | 86 | 71 | 87 | 77 | 1 | 78 | 32 | 4,500,000$/4yrs | |||||
Cody Ceci | D | 100.00 | 75 | 47 | 84 | 76 | 83 | 88 | 90 | 78 | 40 | 75 | 64 | 89 | 73 | 84 | 74 | 1 | 78 | 29 | 5,000,000$/2yrs | |||||
Nick Jensen | D | 100.00 | 75 | 47 | 86 | 78 | 80 | 88 | 87 | 81 | 40 | 77 | 67 | 89 | 75 | 77 | 67 | 1 | 78 | 32 | 3,700,000$/1yrs | |||||
Erik Brannstrom | D | 100.00 | 69 | 50 | 72 | 81 | 77 | 86 | 83 | 75 | 40 | 75 | 62 | 77 | 73 | 69 | 59 | 1 | 74 | 23 | 900,000$/1yrs | |||||
Artem Zub | D | 100.00 | 73 | 54 | 67 | 76 | 82 | 89 | 76 | 73 | 40 | 69 | 66 | 77 | 72 | 59 | 52 | 1 | 72 | 27 | 750,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 52 | 78 | 80 | 81 | 87 | 85 | 83 | 53 | 78 | 74 | 77 | 79 | 74 | 67 | 1 | 77 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Hellebuyck | 0 | 100.00 | 94 | 93 | 95 | 89 | 95 | 95 | 94 | 94 | 94 | 95 | 89 | 79 | 72 | 1 | 85 | 30 | 8,250,000$/4yrs | |
Joonas Korpisalo | 0 | 100.00 | 87 | 87 | 87 | 81 | 87 | 84 | 80 | 82 | 83 | 87 | 83 | 79 | 72 | 1 | 77 | 29 | 4,900,000$/4yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 91 | 90 | 91 | 85 | 91 | 90 | 87 | 88 | 89 | 91 | 86 | 79 | 72 | 1 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 84 | 86 | 85 | 86 | 88 | 84 | 1 | CAN | 55 | 4 | 1,000,000$ |
General Manager | Eric Cardinal |
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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 ) |
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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. |
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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 | Reilly Smith | Penguins | 0 | LW/RW | 17 | 5 | 11 | 16 | 7 | 5 | 5 | 19 | 57 | 12 | 34 | 8.77% | 5 | 19.15 | 2 | 2 | 4 | 0 | 1 | 1 | 41 | 3 | 0 | 63.64% | 0 | 0 | 0.94 | 0 | 0 | 1.08 | ||
2 | Connor McDavid | Penguins | 0 | C | 17 | 5 | 11 | 16 | 1 | 15 | 15 | 29 | 46 | 16 | 33 | 10.87% | 5 | 22.44 | 1 | 2 | 3 | 1 | 0 | 1 | 21 | 1 | 1 | 50.09% | 1 | 0 | 0.94 | 0 | 0 | 0.78 | ||
3 | Barrett Hayton | Penguins | 0 | C/LW | 17 | 7 | 8 | 15 | -1 | 2 | 0 | 14 | 48 | 13 | 27 | 14.58% | 8 | 14.80 | 1 | 3 | 4 | 0 | 0 | 0 | 6 | 3 | 1 | 46.58% | 0 | 0 | 0.88 | 0 | 0 | 0.85 | ||
4 | Elias Pettersson | Penguins | 0 | C/LW | 17 | 8 | 7 | 15 | -2 | 5 | 5 | 10 | 69 | 25 | 45 | 11.59% | 12 | 23.93 | 3 | 1 | 4 | 1 | 0 | 1 | 42 | 2 | 0 | 50.53% | 0 | 0 | 0.88 | 0 | 0 | 0.95 | ||
5 | Andre Burakovsky | Penguins | 0 | LW/RW | 17 | 6 | 6 | 12 | 6 | 2 | 0 | 18 | 30 | 13 | 21 | 20.00% | 4 | 16.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 0 | 0 | 0.71 | 0 | 0 | 0.79 | ||
6 | Roman Josi | Penguins | 0 | D | 17 | 1 | 11 | 12 | -3 | 24 | 10 | 24 | 44 | 18 | 17 | 2.27% | 32 | 28.43 | 1 | 2 | 3 | 0 | 1 | 1 | 38 | 1 | 0 | 0.00% | 0 | 0 | 0.71 | 0 | 0 | 0.48 | ||
7 | Ryan Strome | Penguins | 0 | C/RW | 17 | 5 | 5 | 10 | 9 | 22 | 10 | 27 | 43 | 8 | 25 | 11.63% | 7 | 15.23 | 0 | 0 | 0 | 0 | 1 | 1 | 12 | 1 | 2 | 43.28% | 0 | 0 | 0.59 | 0 | 0 | 0.62 | ||
8 | Christian Fischer | Penguins | 0 | LW/RW | 17 | 2 | 6 | 8 | 2 | 5 | 5 | 7 | 15 | 9 | 14 | 13.33% | 1 | 11.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.47 | 0 | 0 | 0.41 | ||
9 | Yakov Trenin | Penguins | 0 | C/LW | 17 | 3 | 4 | 7 | 4 | 14 | 0 | 24 | 23 | 9 | 17 | 13.04% | 3 | 12.34 | 0 | 0 | 0 | 0 | 1 | 1 | 18 | 2 | 0 | 55.56% | 0 | 0 | 0.41 | 0 | 0 | 0.38 | ||
10 | Michael Amadio | Penguins | 0 | C/LW/RW | 17 | 4 | 2 | 6 | 5 | 0 | 0 | 12 | 19 | 3 | 12 | 21.05% | 2 | 8.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.17% | 0 | 0 | 0.35 | 0 | 0 | 0.47 | ||
11 | Cody Ceci | Penguins | 0 | D | 17 | 1 | 5 | 6 | 8 | 22 | 10 | 24 | 22 | 11 | 14 | 4.55% | 21 | 24.69 | 1 | 3 | 4 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0.35 | 0 | 0 | 0.36 | ||
12 | Sam Steel | Penguins | 0 | C/LW | 17 | 2 | 4 | 6 | 5 | 2 | 0 | 14 | 28 | 15 | 12 | 7.14% | 7 | 7.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.35 | 0 | 0 | 0.52 | ||
13 | Andrei Svechnikov | Penguins | 0 | LW/RW | 17 | 1 | 4 | 5 | -4 | 21 | 5 | 40 | 26 | 13 | 27 | 3.85% | 14 | 22.05 | 0 | 2 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 28.57% | 0 | 0 | 0.29 | 0 | 0 | 0.14 | ||
14 | Brenden Dillon | Penguins | 0 | D | 17 | 1 | 3 | 4 | 12 | 36 | 10 | 32 | 11 | 9 | 9 | 9.09% | 12 | 20.47 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.15 | ||
15 | Nick Jensen | Penguins | 0 | D | 17 | 2 | 2 | 4 | -3 | 10 | 10 | 21 | 21 | 10 | 8 | 9.52% | 27 | 24.97 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.17 | ||
16 | Erik Brannstrom | Penguins | 0 | D | 17 | 1 | 2 | 3 | 6 | 0 | 0 | 5 | 17 | 7 | 1 | 5.88% | 18 | 13.79 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.36 | ||
17 | Ryan McLeod | Penguins | 0 | C/LW/RW | 17 | 0 | 2 | 2 | 5 | 0 | 0 | 11 | 15 | 7 | 21 | 0.00% | 2 | 7.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.12 | 0 | 0 | 0.30 | ||
18 | Artem Zub | Penguins | 0 | D | 17 | 0 | 2 | 2 | 6 | 4 | 0 | 13 | 12 | 3 | 5 | 0.00% | 7 | 12.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | 0.25 | ||
Team Total or Average | 306 | 54 | 95 | 149 | 63 | 189 | 85 | 344 | 546 | 201 | 342 | 9.89% | 187 | 17.03 | 9 | 15 | 24 | 518 | 2 | 4 | 6 | 303 | 13 | 4 | 47.71% | 1180 | 123 | 115 | 1 | 0 | 0.57 | 0 | 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 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 | Connor Hellebuyck | Penguins | 17 | 13 | 2 | 2 | 0.940 | 2.04 | 1057 | 2 | 0 | 36 | 601 | 237 | 1 | 0 | 0.000 | 0 | 17 | 0 | 5 | 2 | 0 |
Team Total or Average | 17 | 13 | 2 | 2 | 0.940 | 2.04 | 1057 | 2 | 0 | 36 | 601 | 237 | 1 | 0 | 0.000 | 0 | 17 | 0 | 5 | 2 | 0 |
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 |
# | 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 | Avalanche | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 71 | 26 | 27 | 18 | 0 | 64 | 24 | 2 | 41 | 7 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 48 | 30 | 39 | 16 | 31 | 16 | 50.0% | 5.6% | 93.8% | 99.4 | DULL |
2 | Blue Jackets | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 12 | 6 | 8 | 0.800 | 18 | 33 | 51 | 0 | 0 | 1 | 6 | 10 | 1 | 164 | 50 | 48 | 50 | 16 | 173 | 53 | 57 | 109 | 20 | 5 | 25.00% | 16 | 1 | 93.75% | 1 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 117 | 68 | 109 | 46 | 89 | 44 | 54.2% | 11.0% | 93.1% | 104.0 | LUCKY |
3 | Red Wings | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 8 | 0.800 | 19 | 32 | 51 | 0 | 0 | 8 | 6 | 5 | 0 | 154 | 55 | 55 | 40 | 4 | 177 | 56 | 91 | 87 | 19 | 3 | 15.79% | 13 | 1 | 92.31% | 0 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 103 | 60 | 117 | 44 | 81 | 40 | 64.0% | 12.3% | 94.4% | 106.7 | LUCKY |
4 | Capitals | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 8 | 0.800 | 13 | 22 | 35 | 0 | 0 | 4 | 2 | 5 | 2 | 157 | 47 | 46 | 53 | 11 | 187 | 54 | 41 | 107 | 13 | 1 | 7.69% | 13 | 2 | 84.62% | 1 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 110 | 65 | 119 | 45 | 88 | 42 | 60.0% | 8.3% | 94.7% | 102.9 | DULL |
_Vs Division | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 31 | 22 | 9 | 16 | 0.800 | 31 | 55 | 86 | 0 | 0 | 5 | 8 | 15 | 3 | 321 | 97 | 94 | 103 | 27 | 360 | 107 | 98 | 216 | 33 | 6 | 18.18% | 29 | 3 | 89.66% | 2 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 227 | 133 | 228 | 92 | 177 | 87 | 56.8% | 9.7% | 93.9% | 103.5 | LUCKY | |
_Vs Conference | 15 | 12 | 3 | 0 | 0 | 0 | 0 | 0 | 50 | 32 | 18 | 24 | 0.800 | 50 | 87 | 137 | 0 | 0 | 13 | 14 | 20 | 3 | 475 | 152 | 149 | 143 | 31 | 537 | 163 | 189 | 303 | 52 | 9 | 17.31% | 42 | 4 | 90.48% | 2 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 331 | 194 | 346 | 136 | 259 | 127 | 59.4% | 10.5% | 94.0% | 104.6 | LUCKY | |
_Since Last GM Reset | 17 | 13 | 4 | 0 | 0 | 0 | 0 | 0 | 54 | 36 | 18 | 26 | 0.765 | 54 | 95 | 149 | 0 | 0 | 15 | 16 | 20 | 3 | 546 | 178 | 176 | 161 | 31 | 601 | 187 | 191 | 344 | 59 | 9 | 15.25% | 43 | 4 | 90.70% | 2 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 379 | 225 | 386 | 153 | 291 | 143 | 58.4% | 9.9% | 94.0% | 103.9 | LUCKY | |
Total | 17 | 13 | 4 | 0 | 0 | 0 | 0 | 0 | 54 | 36 | 18 | 26 | 0.765 | 54 | 95 | 149 | 0 | 0 | 15 | 16 | 20 | 3 | 546 | 178 | 176 | 161 | 31 | 601 | 187 | 191 | 344 | 59 | 9 | 15.25% | 43 | 4 | 90.70% | 2 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 379 | 225 | 386 | 153 | 291 | 143 | 58.4% | 9.9% | 94.0% | 103.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 457 |
Neutral Zone Start | 244 |
Defensive Zone Start | 479 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 563 |
Faceoffs Lost | 617 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 30.3 | 30.68 |
Overtime | 32.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 43 |
---|---|
PP Goal | 9 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 7 |
Lost | 4 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 59 |
---|---|
PP Goal | 9 |
PK Attempt | 43 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 32.1 |
Shots Against | 35.4 |
Goals For | 3.2 |
Goals Against | 2.1 |
Hits | 20.2 |
Shots Blocked | 11.0 |
Pim | 11.2 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 20 |
Contracts | 48/50 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andre Burakovsky | LW/RW | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Andrei Svechnikov | LW/RW | 23 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | RFA | ||||
Artem Zub | D | 27 | 750,000$ | 750,000$ | UFA | ||||||
Barrett Hayton | C/LW | 23 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | RFA | |||
Brenden Dillon | D | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Christian Fischer | LW/RW | 26 | 1,600,000$ | 1,600,000$ | RFA | ||||||
Cody Ceci | D | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Connor Hellebuyck | G | 30 | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA | |||
Connor McDavid | C | 26 | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | UFA | |||
Elias Pettersson | C/LW | 24 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | RFA | ||||
Erik Brannstrom | D | 23 | 900,000$ | 900,000$ | RFA | ||||||
Joonas Korpisalo | G | 29 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | UFA | |||
Michael Amadio | C/LW/RW | 27 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Nick Jensen | D | 32 | 3,700,000$ | 3,700,000$ | UFA | ||||||
Reilly Smith | LW/RW | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Roman Josi | D | 33 | 7,200,000$ | 7,200,000$ | UFA | ||||||
Ryan McLeod | C/LW/RW | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | ||||
Ryan Strome | C/RW | 29 | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | UFA | ||||
Sam Steel | C/LW | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Yakov Trenin | C/LW | 26 | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Breton | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Alex-Olivier Voyer | LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Arvid Holm | G | 24 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ben Tardif | C/LW/RW | 23 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA | |||
Bokondji Imama | LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Brandon Cutler | C/LW/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Brennan Saulnier | C | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Cal O'Reilly | C | 36 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Carl Dahlström | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Cavan Fitzgerald | D | 26 | 750,000$ | 750,000$ | RFA | ||||||
Chad Nychuk | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Collin Adams | LW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Daniel D'Amato | C/LW/RW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||
Danny O'Regan | C/LW | 29 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Jakub Zboril | D | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Jamie Drysdale | D | 21 | 975,000$ | 975,000$ | RFA | ||||||
Keaton Thompson | D | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Lukas Dostal | G | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Mark Jankowski | C/LW | 28 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Markus Niemelainen | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Mavrik Bourque | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Mikey Eyssimont | C/LW | 26 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Patrick McGrath | C/LW/RW | 30 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Philip Kemp | D | 24 | 975,000$ | 975,000$ | RFA | ||||||
Quinton Byfield | C/LW | 20 | 975,000$ | 975,000$ | RFA | ||||||
Ryan MacKinnon | D | 28 | 975,000$ | 975,000$ | UFA | ||||||
Scott Sabourin | RW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Zach Fucale | G | 25 | 975,000$ | 975,000$ | 975,000$ | 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 | Avalanche | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 71 | 26 | 27 | 18 | 0 | 64 | 24 | 2 | 41 | 7 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 48 | 30 | 39 | 16 | 31 | 16 | 50.0% | 5.6% | 93.8% | 99.4 | DULL |
2 | Blue Jackets | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 12 | 6 | 8 | 0.800 | 18 | 33 | 51 | 0 | 0 | 1 | 6 | 10 | 1 | 164 | 50 | 48 | 50 | 16 | 173 | 53 | 57 | 109 | 20 | 5 | 25.00% | 16 | 1 | 93.75% | 1 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 117 | 68 | 109 | 46 | 89 | 44 | 54.2% | 11.0% | 93.1% | 104.0 | LUCKY |
3 | Red Wings | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 8 | 0.800 | 19 | 32 | 51 | 0 | 0 | 8 | 6 | 5 | 0 | 154 | 55 | 55 | 40 | 4 | 177 | 56 | 91 | 87 | 19 | 3 | 15.79% | 13 | 1 | 92.31% | 0 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 103 | 60 | 117 | 44 | 81 | 40 | 64.0% | 12.3% | 94.4% | 106.7 | LUCKY |
4 | Capitals | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 8 | 0.800 | 13 | 22 | 35 | 0 | 0 | 4 | 2 | 5 | 2 | 157 | 47 | 46 | 53 | 11 | 187 | 54 | 41 | 107 | 13 | 1 | 7.69% | 13 | 2 | 84.62% | 1 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 110 | 65 | 119 | 45 | 88 | 42 | 60.0% | 8.3% | 94.7% | 102.9 | DULL |
_Vs Division | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 31 | 22 | 9 | 16 | 0.800 | 31 | 55 | 86 | 0 | 0 | 5 | 8 | 15 | 3 | 321 | 97 | 94 | 103 | 27 | 360 | 107 | 98 | 216 | 33 | 6 | 18.18% | 29 | 3 | 89.66% | 2 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 227 | 133 | 228 | 92 | 177 | 87 | 56.8% | 9.7% | 93.9% | 103.5 | LUCKY | |
_Vs Conference | 15 | 12 | 3 | 0 | 0 | 0 | 0 | 0 | 50 | 32 | 18 | 24 | 0.800 | 50 | 87 | 137 | 0 | 0 | 13 | 14 | 20 | 3 | 475 | 152 | 149 | 143 | 31 | 537 | 163 | 189 | 303 | 52 | 9 | 17.31% | 42 | 4 | 90.48% | 2 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 331 | 194 | 346 | 136 | 259 | 127 | 59.4% | 10.5% | 94.0% | 104.6 | LUCKY | |
_Since Last GM Reset | 17 | 13 | 4 | 0 | 0 | 0 | 0 | 0 | 54 | 36 | 18 | 26 | 0.765 | 54 | 95 | 149 | 0 | 0 | 15 | 16 | 20 | 3 | 546 | 178 | 176 | 161 | 31 | 601 | 187 | 191 | 344 | 59 | 9 | 15.25% | 43 | 4 | 90.70% | 2 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 379 | 225 | 386 | 153 | 291 | 143 | 58.4% | 9.9% | 94.0% | 103.9 | LUCKY | |
Total | 17 | 13 | 4 | 0 | 0 | 0 | 0 | 0 | 54 | 36 | 18 | 26 | 0.765 | 54 | 95 | 149 | 0 | 0 | 15 | 16 | 20 | 3 | 546 | 178 | 176 | 161 | 31 | 601 | 187 | 191 | 344 | 59 | 9 | 15.25% | 43 | 4 | 90.70% | 2 | 227 | 457 | 49.67% | 215 | 479 | 44.89% | 121 | 244 | 49.59% | 379 | 225 | 386 | 153 | 291 | 143 | 58.4% | 9.9% | 94.0% | 103.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 457 |
Neutral Zone Start | 244 |
Defensive Zone Start | 479 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 563 |
Faceoffs Lost | 617 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 30.3 | 30.68 |
Overtime | 32.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 43 |
---|---|
PP Goal | 9 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 7 |
Lost | 4 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 59 |
---|---|
PP Goal | 9 |
PK Attempt | 43 |
PK Goal Against | 4 |
Home | |
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Shots For | 32.1 |
Shots Against | 35.4 |
Goals For | 3.2 |
Goals Against | 2.1 |
Hits | 20.2 |
Shots Blocked | 11.0 |
Pim | 11.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sun, Sep 10 | CLB | @ | PIT | CLB4,PIT3 (OT) | RECAP | |||||||||
Mon, Sep 11 | CLB | @ | PIT | CLB3,PIT4 (OT) | RECAP | |||||||||
Tue, Sep 12 | PIT | @ | CLB | PIT4,CLB1 | RECAP | |||||||||
Wed, Sep 13 | PIT | @ | CLB | PIT4,CLB2 | RECAP | |||||||||
Thu, Sep 14 | CLB | @ | PIT | CLB2,PIT3 | RECAP | |||||||||
Sun, Sep 17 | WAS | @ | PIT | WAS1,PIT2 | RECAP | |||||||||
Mon, Sep 18 | WAS | @ | PIT | WAS4,PIT2 | RECAP | |||||||||
Tue, Sep 19 | PIT | @ | WAS | PIT2,WAS1 (OT) | RECAP | |||||||||
Wed, Sep 20 | PIT | @ | WAS | PIT3,WAS1 | RECAP | |||||||||
Thu, Sep 21 | WAS | @ | PIT | WAS3,PIT4 (OT) | RECAP | |||||||||
Sun, Sep 24 | PIT | @ | DET | PIT6,DET2 | RECAP | |||||||||
Mon, Sep 25 | PIT | @ | DET | PIT4,DET2 | RECAP | |||||||||
Tue, Sep 26 | DET | @ | PIT | DET3,PIT2 (OT) | RECAP | |||||||||
Wed, Sep 27 | DET | @ | PIT | DET2,PIT3 | RECAP | |||||||||
Thu, Sep 28 | PIT | @ | DET | PIT4,DET1 | RECAP | |||||||||
Sun, Oct 1 | COL | @ | PIT | COL3,PIT1 | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Oct 2 | COL | @ | PIT | COL1,PIT3 | RECAP | |||||||||
Tue, Oct 3 | PIT | @ | COL | |||||||||||
Wed, Oct 4 | PIT | @ | COL | |||||||||||
Thu, Oct 5 | COL | @ | PIT | |||||||||||
Fri, Oct 6 | PIT | @ | COL | |||||||||||
Sat, Oct 7 | COL | @ | PIT |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,450,000$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Consol Energy Center | ||
City | Pittsburgh | ||
Capacity | 20958 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6300 | 5400 | 3558 | 4600 | 1100 |
Ticket Price | 85$ | 55$ | 30$ | 14$ | 180$ |
Attendance | 62661 | 54000 | 35538 | 45701 | 10917 |
Attendance PCT | 99.46% | 100.00% | 99.88% | 99.35% | 99.25% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
31 | 20882 - 99.64% | 1,555,736$ | 15,557,359$ | 20958 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,450,000$ | 82,450,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 5 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 107,414,866$ | 107,414,866$ |
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 | Ronde 7 |
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2024 | |||||||
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 |
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Adam Huska | Penguins | 2016 | 187 | Link | |
Alexis D'Aoust | Penguins | Link | |||
Ben Holmstrom | Penguins | Link | |||
Blake Christensen | Penguins | Link | |||
Bryce Gervais | Penguins | Link | |||
Connor Hall | Penguins | 2016 | 88 | ||
Eric Hjorth | Penguins | 2019 | 137 | ||
Ethan Haider | Penguins | 2019 | 122 | ||
Hayden Verbeek | Penguins | Link | |||
Joseph Gambardella | Penguins | Link | |||
Julius Honka | Penguins | Link | |||
Matej Tomek | Penguins | 2015 | 79 | ||
Sam Miletic | Penguins | Link | |||
Trey Bradley | Penguins | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
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 |
---|---|---|---|---|---|
Adam Huska | Penguins | 2016 | 187 | Link | |
Alexis D'Aoust | Penguins | Link | |||
Ben Holmstrom | Penguins | Link | |||
Blake Christensen | Penguins | Link | |||
Bryce Gervais | Penguins | Link | |||
Connor Hall | Penguins | 2016 | 88 | ||
Eric Hjorth | Penguins | 2019 | 137 | ||
Ethan Haider | Penguins | 2019 | 122 | ||
Hayden Verbeek | Penguins | Link | |||
Joseph Gambardella | Penguins | Link | |||
Julius Honka | Penguins | Link | |||
Matej Tomek | Penguins | 2015 | 79 | ||
Sam Miletic | Penguins | Link | |||
Trey Bradley | Penguins | Link |
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