Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mikko Rantanen | RW | 100.00 | 69 | 40 | 73 | 81 | 82 | 88 | 91 | 87 | 74 | 88 | 90 | 64 | 68 | 69 | 66 | 0 | 84 | 26 | 9,250,000$/3yrs | |||||
Sebastian Aho (A) | C | 100.00 | 74 | 40 | 78 | 84 | 67 | 82 | 91 | 78 | 81 | 81 | 83 | 72 | 68 | 70 | 65 | 0 | 81 | 26 | 8,460,250$/9yrs | |||||
Brady Tkachuk (C) | LW | 100.00 | 88 | 75 | 72 | 75 | 84 | 80 | 96 | 78 | 76 | 84 | 78 | 65 | 54 | 65 | 71 | 0 | 80 | 24 | 8,205,714$/6yrs | |||||
Mark Stone | RW | 100.00 | 72 | 40 | 88 | 78 | 83 | 81 | 74 | 75 | 54 | 83 | 76 | 73 | 70 | 72 | 76 | 0 | 80 | 31 | 9,500,000$/5yrs | |||||
Frederick Gaudreau | C/LW | 100.00 | 68 | 40 | 91 | 73 | 71 | 74 | 85 | 67 | 78 | 75 | 73 | 73 | 80 | 62 | 58 | 0 | 75 | 30 | 1,200,000$/6yrs | |||||
Anthony Beauvillier | LW | 100.00 | 70 | 40 | 88 | 73 | 70 | 75 | 91 | 66 | 53 | 75 | 68 | 66 | 59 | 69 | 59 | 0 | 73 | 26 | 4,150,000$/2yrs | |||||
Colton Sissons | C | 100.00 | 77 | 40 | 86 | 64 | 78 | 73 | 93 | 63 | 85 | 73 | 65 | 76 | 54 | 71 | 59 | 0 | 73 | 29 | 2,857,143$/4yrs | |||||
Joel Armia | RW | 100.00 | 74 | 40 | 82 | 69 | 85 | 70 | 76 | 61 | 53 | 71 | 65 | 71 | 57 | 68 | 59 | 0 | 72 | 30 | 3,400,000$/3yrs | |||||
Ryan Lomberg | LW | 100.00 | 78 | 68 | 77 | 67 | 77 | 62 | 84 | 61 | 58 | 69 | 66 | 70 | 54 | 59 | 58 | 0 | 70 | 28 | 800,000$/2yrs | |||||
Reese Johnson | C/RW | 100.00 | 83 | 68 | 86 | 62 | 74 | 61 | 72 | 57 | 78 | 68 | 60 | 75 | 54 | 56 | 58 | 0 | 69 | 25 | 800,000$/2yrs | |||||
Saku Maenalanen | LW/RW | 100.00 | 72 | 38 | 82 | 61 | 78 | 57 | 68 | 55 | 50 | 67 | 58 | 70 | 51 | 54 | 55 | 0 | 66 | 29 | 775,000$/1yrs | |||||
Dominic Toninato | C/LW | 100.00 | 59 | 53 | 73 | 61 | 68 | 61 | 67 | 59 | 68 | 60 | 61 | 66 | 54 | 65 | 59 | 0 | 65 | 29 | 750,000$/3yrs | |||||
Hampus Lindholm | D | 100.00 | 72 | 40 | 74 | 90 | 82 | 91 | 86 | 69 | 40 | 80 | 63 | 89 | 54 | 75 | 60 | 0 | 81 | 29 | 6,500,000$/8yrs | |||||
Jaccob Slavin | D | 100.00 | 71 | 40 | 91 | 81 | 79 | 89 | 91 | 65 | 40 | 77 | 61 | 89 | 57 | 72 | 67 | 0 | 78 | 29 | 5,300,000$/3yrs | |||||
Ryan Suter | D | 100.00 | 71 | 40 | 83 | 70 | 81 | 87 | 93 | 62 | 40 | 75 | 60 | 83 | 54 | 98 | 78 | 0 | 76 | 38 | 3,650,000$/3yrs | |||||
Nick Holden (A) | D | 100.00 | 69 | 40 | 90 | 65 | 80 | 77 | 83 | 60 | 40 | 73 | 59 | 89 | 54 | 75 | 60 | 0 | 74 | 36 | 1,300,000$/1yrs | |||||
Olli Maatta | D | 100.00 | 70 | 40 | 89 | 71 | 81 | 80 | 88 | 60 | 40 | 72 | 61 | 85 | 54 | 73 | 60 | 0 | 74 | 29 | 2,250,000$/3yrs | |||||
Jacob Middleton | D | 100.00 | 70 | 80 | 77 | 62 | 81 | 76 | 70 | 57 | 38 | 65 | 57 | 83 | 51 | 54 | 55 | 0 | 70 | 27 | 2,450,000$/3yrs | |||||
Scratches | ||||||||||||||||||||||||||
Ryan Dzingel | C/LW/RW | 100.00 | 57 | 61 | 73 | 60 | 65 | 61 | 61 | 57 | 69 | 59 | 58 | 64 | 54 | 70 | 61 | 0 | 63 | 31 | 750,000$/1yrs | |||||
Jason Demers | D | 100.00 | 56 | 54 | 60 | 56 | 62 | 62 | 61 | 56 | 44 | 56 | 54 | 58 | 54 | 71 | 62 | 0 | 60 | 35 | 750,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 71 | 49 | 81 | 70 | 76 | 74 | 81 | 65 | 58 | 73 | 66 | 74 | 58 | 68 | 62 | 0 | 73 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ilya Sorokin | 0 | 100.00 | 91 | 95 | 94 | 83 | 92 | 71 | 93 | 91 | 95 | 77 | 82 | 61 | 57 | 0 | 89 | 28 | 4,000,000$/10yrs | |
Martin Jones | 0 | 100.00 | 77 | 84 | 83 | 87 | 77 | 82 | 79 | 64 | 85 | 76 | 79 | 76 | 71 | 0 | 80 | 33 | 2,000,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 84 | 90 | 89 | 85 | 85 | 77 | 86 | 78 | 90 | 77 | 81 | 69 | 64 | 0 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Pascal Vincent | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 45 | 5 | 0$ |
General Manager | Nicolas Leduc-Lafantaisie |
---|
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 | Sebastian Aho | Penguins | 0 | C | 10 | 4 | 6 | 10 | 7 | 6 | 0 | 3 | 37 | 8 | 25 | 10.81% | 0 | 21.72 | 1 | 2 | 3 | 0 | 0 | 0 | 35 | 2 | 0 | 54.67% | 0 | 0 | 1.00 | 0 | 1 | 1.14 | ||
2 | Mikko Rantanen | Penguins | 0 | RW | 10 | 6 | 3 | 9 | 7 | 0 | 0 | 4 | 34 | 7 | 25 | 17.65% | 0 | 17.79 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 71.43% | 0 | 0 | 0.90 | 0 | 1 | 1.21 | ||
3 | Brady Tkachuk | Penguins | 0 | LW | 10 | 2 | 6 | 8 | 7 | 14 | 0 | 30 | 25 | 7 | 19 | 8.00% | 0 | 21.26 | 1 | 2 | 3 | 0 | 0 | 0 | 31 | 0 | 1 | 37.50% | 0 | 0 | 0.80 | 0 | 0 | 0.83 | ||
4 | Nick Holden | Penguins | 0 | D | 10 | 1 | 6 | 7 | 3 | 6 | 0 | 13 | 18 | 7 | 4 | 5.56% | 13 | 22.57 | 0 | 1 | 1 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0.70 | 0 | 0 | 0.69 | ||
5 | Jaccob Slavin | Penguins | 0 | D | 10 | 0 | 7 | 7 | 3 | 10 | 0 | 12 | 24 | 13 | 20 | 0.00% | 15 | 24.38 | 0 | 4 | 4 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0.70 | 0 | 0 | 0.72 | ||
6 | Hampus Lindholm | Penguins | 0 | D | 10 | 2 | 5 | 7 | 3 | 8 | 0 | 22 | 15 | 9 | 15 | 13.33% | 13 | 24.46 | 2 | 2 | 4 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0.70 | 0 | 0 | 0.67 | ||
7 | Mark Stone | Penguins | 0 | RW | 10 | 5 | 2 | 7 | 0 | 2 | 0 | 9 | 32 | 12 | 27 | 15.63% | 0 | 17.15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 0 | 0 | 0.70 | 0 | 1 | 0.79 | ||
8 | Frederick Gaudreau | Penguins | 0 | C/LW | 10 | 1 | 3 | 4 | 0 | 2 | 0 | 7 | 34 | 8 | 19 | 2.94% | 3 | 21.28 | 0 | 1 | 1 | 0 | 0 | 0 | 38 | 0 | 0 | 59.02% | 0 | 0 | 0.40 | 0 | 0 | 0.55 | ||
9 | Ryan Suter | Penguins | 0 | D | 10 | 1 | 3 | 4 | 2 | 6 | 0 | 14 | 16 | 7 | 15 | 6.25% | 11 | 22.58 | 1 | 1 | 2 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.47 | ||
10 | Olli Maatta | Penguins | 0 | D | 10 | 0 | 4 | 4 | 1 | 4 | 0 | 16 | 5 | 0 | 4 | 0.00% | 5 | 13.86 | 0 | 1 | 1 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.29 | ||
11 | Jacob Middleton | Penguins | 0 | D | 10 | 0 | 4 | 4 | 0 | 12 | 0 | 21 | 5 | 2 | 1 | 0.00% | 3 | 12.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.14 | ||
12 | Ryan Lomberg | Penguins | 0 | LW | 10 | 2 | 1 | 3 | -1 | 10 | 0 | 10 | 10 | 1 | 12 | 20.00% | 1 | 11.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.86% | 0 | 0 | 0.30 | 0 | 0 | 0.12 | ||
13 | Saku Maenalanen | Penguins | 0 | LW/RW | 10 | 2 | 0 | 2 | 0 | 2 | 0 | 6 | 6 | 0 | 5 | 33.33% | 0 | 6.12 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 0 | 1 | 33.33% | 0 | 0 | 0.20 | 0 | 0 | 0.18 | ||
14 | Reese Johnson | Penguins | 0 | C/RW | 10 | 0 | 2 | 2 | 0 | 0 | 0 | 10 | 4 | 1 | 5 | 0.00% | 1 | 5.71 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 45.76% | 0 | 0 | 0.20 | 0 | 0 | 0.19 | ||
15 | Anthony Beauvillier | Penguins | 0 | LW | 10 | 1 | 1 | 2 | 0 | 2 | 0 | 12 | 19 | 6 | 5 | 5.26% | 1 | 20.85 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 1 | 0 | 42.86% | 0 | 0 | 0.20 | 0 | 0 | 0.29 | ||
16 | Joel Armia | Penguins | 0 | RW | 10 | 1 | 0 | 1 | -1 | 0 | 0 | 6 | 11 | 5 | 10 | 9.09% | 0 | 11.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 100.00% | 0 | 0 | 0.10 | 0 | 0 | 0.16 | ||
17 | Colton Sissons | Penguins | 0 | C | 10 | 1 | 0 | 1 | -1 | 8 | 0 | 5 | 6 | 4 | 5 | 16.67% | 4 | 11.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.98% | 0 | 0 | 0.10 | 0 | 0 | -0.02 | ||
18 | Dominic Toninato | Penguins | 0 | C/LW | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 1 | 0.00% | 0 | 5.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | ||
Team Total or Average | 180 | 29 | 53 | 82 | 30 | 92 | 0 | 202 | 302 | 99 | 217 | 9.60% | 70 | 16.27 | 9 | 17 | 26 | 442 | 0 | 0 | 0 | 301 | 6 | 2 | 55.79% | 855 | 0 | 0 | 0 | 0 | 0.56 | 0 | 3 |
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 | Ilya Sorokin | Penguins | 10 | 6 | 3 | 1 | 0.928 | 1.89 | 604 | 0 | 0 | 19 | 264 | 0 | 0 | 0 | 0.667 | 3 | 10 | 0 | 0 | 1 | 0 |
Team Total or Average | 10 | 6 | 3 | 1 | 0.928 | 1.89 | 604 | 0 | 0 | 19 | 264 | 0 | 0 | 0 | 0.667 | 3 | 10 | 0 | 0 | 1 | 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 | Capitals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 13 | 6 | 17 | 0 | 28 | 7 | 16 | 23 | 6 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 23 | 15 | 23 | 8 | 13 | 6 | 100.0% | 8.3% | 96.4% | 104.8 | DULL |
2 | Hurricanes | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 61 | 21 | 22 | 18 | 0 | 47 | 12 | 20 | 42 | 16 | 2 | 12.50% | 9 | 0 | 100.00% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 50 | 34 | 44 | 15 | 25 | 13 | 42.9% | 8.2% | 91.5% | 99.7 | DULL |
3 | Flyers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 31 | 13 | 8 | 10 | 0 | 26 | 11 | 6 | 15 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 22 | 14 | 24 | 8 | 12 | 6 | 75.0% | 9.7% | 92.3% | 102.0 | LUCKY |
4 | Rangers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 3 | 0 | 57 | 18 | 17 | 22 | 0 | 47 | 11 | 14 | 35 | 10 | 1 | 10.00% | 6 | 0 | 100.00% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 47 | 31 | 46 | 14 | 25 | 14 | 50.0% | 7.0% | 93.6% | 100.6 | DULL |
5 | Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 20 | 9 | 3 | 8 | 0 | 33 | 6 | 12 | 29 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 22 | 13 | 24 | 7 | 12 | 6 | 50.0% | 10.0% | 90.9% | 100.9 | FUN |
6 | Blue Jackets | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 5 | 9 | 12 | 5 | 34 | 4 | 10 | 18 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 27 | 19 | 23 | 7 | 13 | 6 | 0.0% | 7.1% | 91.2% | 98.3 | DULL |
7 | Devils | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 2 | 5 | 3 | 0 | 69 | 19 | 29 | 21 | 0 | 49 | 19 | 14 | 40 | 6 | 3 | 50.00% | 7 | 1 | 85.71% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 49 | 34 | 43 | 14 | 26 | 13 | 70.0% | 14.5% | 91.8% | 106.3 | LUCKY |
_Vs Division | 10 | 6 | 3 | 0 | 0 | 0 | 0 | 1 | 29 | 20 | 9 | 13 | 0.650 | 29 | 53 | 82 | 0 | 0 | 6 | 12 | 11 | 0 | 302 | 98 | 94 | 108 | 5 | 264 | 70 | 92 | 202 | 50 | 9 | 18.00% | 42 | 5 | 88.10% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 243 | 164 | 231 | 77 | 129 | 67 | 57.1% | 9.6% | 92.4% | 102.0 | LUCKY | |
_Vs Conference | 10 | 6 | 3 | 0 | 0 | 0 | 0 | 1 | 29 | 20 | 9 | 13 | 0.650 | 29 | 53 | 82 | 0 | 0 | 6 | 12 | 11 | 0 | 302 | 98 | 94 | 108 | 5 | 264 | 70 | 92 | 202 | 50 | 9 | 18.00% | 42 | 5 | 88.10% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 243 | 164 | 231 | 77 | 129 | 67 | 57.1% | 9.6% | 92.4% | 102.0 | LUCKY | |
_Since Last GM Reset | 10 | 6 | 3 | 0 | 0 | 0 | 0 | 1 | 29 | 20 | 9 | 13 | 0.650 | 29 | 53 | 82 | 0 | 0 | 6 | 12 | 11 | 0 | 302 | 98 | 94 | 108 | 5 | 264 | 70 | 92 | 202 | 50 | 9 | 18.00% | 42 | 5 | 88.10% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 243 | 164 | 231 | 77 | 129 | 67 | 57.1% | 9.6% | 92.4% | 102.0 | LUCKY | |
Total | 10 | 6 | 3 | 0 | 0 | 0 | 0 | 1 | 29 | 20 | 9 | 13 | 0.650 | 29 | 53 | 82 | 0 | 0 | 6 | 12 | 11 | 0 | 302 | 98 | 94 | 108 | 5 | 264 | 70 | 92 | 202 | 50 | 9 | 18.00% | 42 | 5 | 88.10% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 243 | 164 | 231 | 77 | 129 | 67 | 57.1% | 9.6% | 92.4% | 102.0 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 366 |
Neutral Zone Start | 145 |
Defensive Zone Start | 339 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 477 |
Faceoffs Lost | 373 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 20 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 4 |
Lost | 2 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 50 |
---|---|
PP Goal | 9 |
PK Attempt | 42 |
PK Goal Against | 5 |
Home | |
---|---|
Shots For | 30.2 |
Shots Against | 26.4 |
Goals For | 2.9 |
Goals Against | 2.0 |
Hits | 20.2 |
Shots Blocked | 7.0 |
Pim | 9.2 |
Projected Total Cap Hit | 79,098,107$ |
Projected Cap Space | 3,401,893$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
Contracts | 54/50 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Beauvillier | LW | 26 | 4,150,000$ | 4,150,000$ | 4,150,000$ | UFA | |||||
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 | |
Colton Sissons | C | 29 | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | UFA | |||
Dominic Toninato | C/LW | 29 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Frederick Gaudreau | C/LW | 30 | 1,200,000$ | 1,200,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | |
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$ | 6,500,000$ |
Ilya Sorokin | G | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ |
Jaccob Slavin | D | 29 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | ||||
Jacob Middleton | D | 27 | 2,450,000$ | 2,450,000$ | 2,450,000$ | 2,450,000$ | UFA | ||||
Jason Demers | D | 35 | 750,000$ | 750,000$ | UFA | ||||||
Joel Armia | RW | 30 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||||
Mark Stone | RW | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Martin Jones | G | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Mikko Rantanen | RW | 26 | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | UFA | ||||
Nick Holden | D | 36 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Olli Maatta | D | 29 | 2,250,000$ | 2,250,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Reese Johnson | C/RW | 25 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Ryan Dzingel | C/LW/RW | 31 | 750,000$ | 750,000$ | UFA | ||||||
Ryan Lomberg | LW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ryan Suter | D | 38 | 3,650,000$ | 3,650,000$ | 3,650,000$ | 3,650,000$ | UFA | ||||
Saku Maenalanen | LW/RW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Sebastian Aho | C | 26 | 8,460,250$ | 8,460,250$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alan Quine | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Antoine Bibeau | G | 29 | 750,000$ | 750,000$ | UFA | ||||||
Bobby Nardella | D | 27 | 750,000$ | 750,000$ | UFA | ||||||
Brandon Davidson | D | 32 | 750,000$ | 750,000$ | UFA | ||||||
Calle Clang | G | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Calvin Pickard | G | 31 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Cameron Morrison | LW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Guillaume Brisebois | D | 26 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Hunter Mckown | C | 21 | 1,366,667$ | 1,366,667$ | 1,366,667$ | 1,366,667$ | RFA | ||||
Isaiah Saville | G | 23 | 849,667$ | 849,667$ | 849,667$ | RFA | |||||
Jack Badini | C/LW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Jacob Leguerrier | D | 22 | 750,000$ | 750,000$ | RFA | ||||||
Jake Massie | D | 26 | 750,000$ | 750,000$ | RFA | ||||||
Jean-Sebastien Dea | C | 29 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Jordan Frasca | C/LW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Justin Ducharme | C/LW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Linus Hogberg | D | 25 | 750,000$ | 750,000$ | RFA | ||||||
Logan Shaw | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Luke Henman | C | 23 | 791,667$ | 791,667$ | 791,667$ | RFA | |||||
Malcolm Subban | G | 29 | 850,000$ | 850,000$ | 775,000$ | UFA | |||||
Max Ellis | RW | 23 | 838,750$ | 838,750$ | 838,750$ | RFA | |||||
Mitch Reinke | D | 27 | 750,000$ | 750,000$ | UFA | ||||||
Morgan Adams-Moisan | RW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Nick Swaney | RW | 26 | 750,000$ | 775,000$ | 775,000$ | RFA | |||||
Patrick Giles | C | 23 | 750,000$ | 862,500$ | 862,500$ | RFA | |||||
Pavol Regenda | LW | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Richard Panik | C/LW/RW | 32 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Ronnie Attard | D | 24 | 1,350,000$ | 1,350,000$ | 850,000$ | 850,000$ | RFA | ||||
Samuel Laberge | C/LW | 26 | 750,000$ | 750,000$ | RFA | ||||||
Taylor Fedun | D | 35 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Tyler Sikura | C | 31 | 750,000$ | 750,000$ | UFA | ||||||
Xavier Cormier | C | 22 | 775,000$ | 775,000$ | 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 | Capitals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 13 | 6 | 17 | 0 | 28 | 7 | 16 | 23 | 6 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 23 | 15 | 23 | 8 | 13 | 6 | 100.0% | 8.3% | 96.4% | 104.8 | DULL |
2 | Hurricanes | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 61 | 21 | 22 | 18 | 0 | 47 | 12 | 20 | 42 | 16 | 2 | 12.50% | 9 | 0 | 100.00% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 50 | 34 | 44 | 15 | 25 | 13 | 42.9% | 8.2% | 91.5% | 99.7 | DULL |
3 | Flyers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 31 | 13 | 8 | 10 | 0 | 26 | 11 | 6 | 15 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 22 | 14 | 24 | 8 | 12 | 6 | 75.0% | 9.7% | 92.3% | 102.0 | LUCKY |
4 | Rangers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 3 | 0 | 57 | 18 | 17 | 22 | 0 | 47 | 11 | 14 | 35 | 10 | 1 | 10.00% | 6 | 0 | 100.00% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 47 | 31 | 46 | 14 | 25 | 14 | 50.0% | 7.0% | 93.6% | 100.6 | DULL |
5 | Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 20 | 9 | 3 | 8 | 0 | 33 | 6 | 12 | 29 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 22 | 13 | 24 | 7 | 12 | 6 | 50.0% | 10.0% | 90.9% | 100.9 | FUN |
6 | Blue Jackets | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 5 | 9 | 12 | 5 | 34 | 4 | 10 | 18 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 27 | 19 | 23 | 7 | 13 | 6 | 0.0% | 7.1% | 91.2% | 98.3 | DULL |
7 | Devils | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 2 | 5 | 3 | 0 | 69 | 19 | 29 | 21 | 0 | 49 | 19 | 14 | 40 | 6 | 3 | 50.00% | 7 | 1 | 85.71% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 49 | 34 | 43 | 14 | 26 | 13 | 70.0% | 14.5% | 91.8% | 106.3 | LUCKY |
_Vs Division | 10 | 6 | 3 | 0 | 0 | 0 | 0 | 1 | 29 | 20 | 9 | 13 | 0.650 | 29 | 53 | 82 | 0 | 0 | 6 | 12 | 11 | 0 | 302 | 98 | 94 | 108 | 5 | 264 | 70 | 92 | 202 | 50 | 9 | 18.00% | 42 | 5 | 88.10% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 243 | 164 | 231 | 77 | 129 | 67 | 57.1% | 9.6% | 92.4% | 102.0 | LUCKY | |
_Vs Conference | 10 | 6 | 3 | 0 | 0 | 0 | 0 | 1 | 29 | 20 | 9 | 13 | 0.650 | 29 | 53 | 82 | 0 | 0 | 6 | 12 | 11 | 0 | 302 | 98 | 94 | 108 | 5 | 264 | 70 | 92 | 202 | 50 | 9 | 18.00% | 42 | 5 | 88.10% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 243 | 164 | 231 | 77 | 129 | 67 | 57.1% | 9.6% | 92.4% | 102.0 | LUCKY | |
_Since Last GM Reset | 10 | 6 | 3 | 0 | 0 | 0 | 0 | 1 | 29 | 20 | 9 | 13 | 0.650 | 29 | 53 | 82 | 0 | 0 | 6 | 12 | 11 | 0 | 302 | 98 | 94 | 108 | 5 | 264 | 70 | 92 | 202 | 50 | 9 | 18.00% | 42 | 5 | 88.10% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 243 | 164 | 231 | 77 | 129 | 67 | 57.1% | 9.6% | 92.4% | 102.0 | LUCKY | |
Total | 10 | 6 | 3 | 0 | 0 | 0 | 0 | 1 | 29 | 20 | 9 | 13 | 0.650 | 29 | 53 | 82 | 0 | 0 | 6 | 12 | 11 | 0 | 302 | 98 | 94 | 108 | 5 | 264 | 70 | 92 | 202 | 50 | 9 | 18.00% | 42 | 5 | 88.10% | 0 | 202 | 366 | 55.19% | 192 | 339 | 56.64% | 83 | 145 | 57.24% | 243 | 164 | 231 | 77 | 129 | 67 | 57.1% | 9.6% | 92.4% | 102.0 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 366 |
Neutral Zone Start | 145 |
Defensive Zone Start | 339 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 477 |
Faceoffs Lost | 373 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 20 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 4 |
Lost | 2 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 50 |
---|---|
PP Goal | 9 |
PK Attempt | 42 |
PK Goal Against | 5 |
Home | |
---|---|
Shots For | 30.2 |
Shots Against | 26.4 |
Goals For | 2.9 |
Goals Against | 2.0 |
Hits | 20.2 |
Shots Blocked | 7.0 |
Pim | 9.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Sep 11 | NJD | @ | PIT | NJD2,PIT6 | RECAP | |||||||||
Tue, Sep 12 | PIT | @ | NYR | PIT4,NYR2 | RECAP | |||||||||
Thu, Sep 14 | NYR | @ | PIT | NYR1,PIT0 | RECAP | |||||||||
Fri, Sep 15 | PIT | @ | NJD | PIT4,NJD2 | RECAP | |||||||||
Mon, Sep 18 | CAR | @ | PIT | CAR1,PIT3 | RECAP | |||||||||
Tue, Sep 19 | PIT | @ | CAR | PIT2,CAR3 | RECAP | |||||||||
Sun, Sep 24 | PIT | @ | PHI | PIT3,PHI2 | RECAP | |||||||||
Tue, Sep 26 | NYI | @ | PIT | NYI3,PIT2 | RECAP | |||||||||
Thu, Sep 28 | PIT | @ | CLB | PIT2,CLB3 (SO) | RECAP | |||||||||
Fri, Sep 29 | PIT | @ | WAS | PIT3,WAS1 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,098,107$ | 0$ | 79,098,107$ | 3,401,893$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Consol Energy Center | ||
City | Pittsburgh | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 80$ | 40$ | 30$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,098,107$ | 79,098,107$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 79,098,107$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 79,098,107$ | 499,374,036$ | 499,374,036$ |
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 | |||||||
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 |
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Chase Yoder | Penguins | 2021 | 193 | Link | |
Maxim Groshev | Penguins | 2021 | 100 | Link | |
Michael Benning | Penguins | 2021 | 128 | Link | |
Yegor Spiridonov | Penguins | 2020 | 140 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 |
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Chase Yoder | Penguins | 2021 | 193 | Link | |
Maxim Groshev | Penguins | 2021 | 100 | Link | |
Michael Benning | Penguins | 2021 | 128 | Link | |
Yegor Spiridonov | Penguins | 2020 | 140 | Link |
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