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Full Scoreboard »» |
Dallas Stars 19-7-4, 42pts · 1st in Western Conference |
# | Player | POS | CON | HT | WT | Age | Date Of Birth | POB | Draft | Contract | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | LW | 98% | 6' 2" | 205 | 30 | July 18, 1989 | 2007 | 9,500,000$/6yrs | |||||||||||||||||
0 | ![]() | LW | 100% | 6' 0" | 210 | 29 | December 16, 1989 | 2008 | 4,000,000$/1yrs | |||||||||||||||||
0 | ![]() | C/RW | 99% | 5' 11" | 190 | 35 | July 11, 1984 | 2003 | 7,250,000$/3yrs | |||||||||||||||||
0 | ![]() | RW | 98% | 6' 3" | 206 | 34 | May 16, 1985 | 2003 | 8,625,000$/2yrs | |||||||||||||||||
0 | ![]() | C | 100% | 6' 3" | 210 | 34 | October 16, 1985 | - | 2,500,000$/2yrs | |||||||||||||||||
0 | ![]() | C | 99% | 6' 1" | 200 | 27 | January 31, 1992 | 2010 | 9,850,000$/8yrs | |||||||||||||||||
0 | ![]() | RW | 98% | 6' 1" | 205 | 33 | July 05, 1986 | 2004 | 6,250,000$/3yrs | |||||||||||||||||
0 | ![]() | C | 100% | 6' 2" | 200 | 28 | November 01, 1991 | 2010 | 1,000,000$/1yrs | |||||||||||||||||
0 | ![]() | C | 99% | 6' 1" | 205 | 25 | July 19, 1994 | 2012 | 2,250,000$/1yrs | |||||||||||||||||
0 | ![]() | C/LW | 100% | 6' 2" | 200 | 24 | July 04, 1995 | 2013 | 1,500,000$/2yrs | |||||||||||||||||
0 | ![]() | C/W | 100% | 6' 1" | 195 | 26 | December 08, 1992 | - | 2,300,000$/1yrs | |||||||||||||||||
0 | ![]() | C/LW | 100% | 6' 3" | 215 | 23 | November 17, 1996 | 2015 | 800,000$/1yrs | |||||||||||||||||
0 | ![]() | D | 100% | 6' 4" | 214 | 32 | May 15, 1987 | - | 2,000,000$/1yrs | |||||||||||||||||
0 | ![]() | D | 98% | 6' 1" | 185 | 20 | July 18, 1999 | 2017 | 925,000$/2yrs | |||||||||||||||||
0 | ![]() | D | 100% | 6' 0" | 204 | 29 | June 05, 1990 | 2010 | 3,350,000$/1yrs | |||||||||||||||||
0 | ![]() | D | 100% | 6' 2" | 240 | 33 | April 28, 1986 | 2004 | 1,750,000$/1yrs | |||||||||||||||||
0 | ![]() | D | 100% | 6' 2" | 180 | 27 | August 14, 1992 | 2010 | 4,250,000$/3yrs | |||||||||||||||||
0 | ![]() | D | 100% | 6' 1" | 201 | 31 | June 04, 1988 | - | 737,500$/2yrs | |||||||||||||||||
0 | ![]() | D | 98% | 6' 3" | 215 | 25 | May 23, 1994 | 2012 | 5,800,000$/6yrs | |||||||||||||||||
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C | 0% | 6' 6" | 230 | 32 | February 20, 1987 | 2005 | 4,750,000$/1yrs | |||||||||||||||||
0 | ![]() | LW | 83% | 5' 11" | 199 | 30 | November 21, 1989 | - | 2,800,000$/2yrs | |||||||||||||||||
0 | ![]() | D | 0% | 6' 4" | 221 | 27 | April 18, 1992 | 2010 | 2,350,000$/2yrs |
# | Goalie | Pos | Condition | HT | WT | Age | Date Of Birth | POB | Draft | Contract | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | G | 98% | 6' 6" | 232 | 29 | March 19, 1990 | 2009 | 2,200,000$/1yrs | |||||||||||
0 | ![]() | G | 97% | 6' 7" | 215 | 33 | November 21, 1986 | 2005 | 4,916,667$/4yrs | |||||||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jim Montgomery | 82 | 94 | 77 | 84 | 74 | 69 | 76 | CAN | 49 | 2 | 800,000$ |
General Manager | Maxime Proulx |
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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 | Alexander Radulov | 0 | RW | 30 | 13 | 15 | 28 | 5 | 0 | 0 | 38 | 125 | 15 | 77 | 10.40% | 7 | 20.09 | 4 | 4 | 8 | 72 | 0 | 0 | 0 | 43 | 4 | 1 | 38.64% | 44 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | ||
2 | Tyler Seguin | 0 | C | 29 | 12 | 15 | 27 | 7 | 4 | 0 | 25 | 109 | 27 | 70 | 11.01% | 3 | 19.53 | 2 | 4 | 6 | 37 | 0 | 0 | 0 | 38 | 2 | 1 | 52.70% | 723 | 0 | 0 | 0 | 2 | 0.95 | 0 | 0 | ||
3 | Joe Pavelski | 0 | C/RW | 30 | 8 | 18 | 26 | 1 | 10 | 0 | 31 | 105 | 40 | 84 | 7.62% | 9 | 21.05 | 2 | 5 | 7 | 74 | 0 | 0 | 0 | 81 | 0 | 1 | 55.36% | 448 | 0 | 0 | 1 | 0 | 0.82 | 0 | 2 | ||
4 | Miro Heiskanen | 0 | D | 30 | 6 | 18 | 24 | 13 | 2 | 0 | 6 | 55 | 14 | 33 | 10.91% | 36 | 23.77 | 1 | 4 | 5 | 67 | 0 | 0 | 0 | 84 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
5 | Roope Hintz | 0 | C/LW | 30 | 7 | 11 | 18 | 5 | 8 | 0 | 48 | 99 | 31 | 64 | 7.07% | 5 | 18.28 | 1 | 2 | 3 | 55 | 0 | 0 | 0 | 26 | 1 | 0 | 44.03% | 159 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
6 | Esa Lindell | 0 | D | 30 | 3 | 14 | 17 | 10 | 47 | 5 | 85 | 54 | 15 | 48 | 5.56% | 48 | 24.34 | 2 | 2 | 4 | 78 | 0 | 0 | 0 | 64 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
7 | Devin Shore | 0 | C | 30 | 7 | 9 | 16 | -5 | 16 | 0 | 38 | 49 | 15 | 49 | 14.29% | 6 | 15.71 | 1 | 2 | 3 | 29 | 0 | 0 | 0 | 60 | 1 | 0 | 44.77% | 641 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
8 | Jamie Benn | 0 | LW | 30 | 10 | 4 | 14 | 4 | 25 | 5 | 70 | 54 | 20 | 32 | 18.52% | 7 | 19.72 | 2 | 1 | 3 | 71 | 0 | 0 | 0 | 32 | 3 | 0 | 54.69% | 64 | 0 | 0 | 0 | 1 | 0.47 | 0 | 2 | ||
9 | Roman Polak | 0 | D | 30 | 1 | 11 | 12 | -5 | 37 | 5 | 88 | 22 | 6 | 18 | 4.55% | 42 | 18.64 | 1 | 4 | 5 | 61 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
10 | John Klingberg | 0 | D | 19 | 2 | 9 | 11 | 0 | 8 | 0 | 14 | 21 | 4 | 6 | 9.52% | 6 | 20.92 | 1 | 4 | 5 | 34 | 0 | 0 | 0 | 31 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
11 | Jason Dickinson | 0 | C/LW | 30 | 4 | 6 | 10 | -8 | 10 | 0 | 43 | 45 | 8 | 45 | 8.89% | 2 | 15.71 | 1 | 0 | 1 | 49 | 0 | 0 | 0 | 3 | 1 | 1 | 51.98% | 227 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
12 | Mikkel Boedker | 0 | LW | 29 | 1 | 8 | 9 | -8 | 4 | 0 | 5 | 37 | 10 | 38 | 2.70% | 3 | 12.41 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 22 | 0 | 0 | 24.32% | 37 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
13 | Mattias Janmark | 0 | C/LW/RW | 30 | 4 | 4 | 8 | -4 | 2 | 0 | 7 | 39 | 10 | 40 | 10.26% | 5 | 13.56 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 37.50% | 48 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
14 | Nick Holden | 0 | D | 21 | 2 | 5 | 7 | 1 | 14 | 0 | 56 | 26 | 4 | 10 | 7.69% | 20 | 20.00 | 1 | 3 | 4 | 38 | 0 | 0 | 0 | 32 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
15 | Jay Beagle | 0 | C | 30 | 2 | 4 | 6 | 2 | 2 | 0 | 23 | 30 | 3 | 14 | 6.67% | 11 | 11.47 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 10 | 0 | 0 | 60.27% | 219 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
16 | Radko Gudas | 0 | D | 26 | 1 | 4 | 5 | -3 | 26 | 0 | 78 | 16 | 2 | 14 | 6.25% | 23 | 18.60 | 1 | 1 | 2 | 17 | 0 | 0 | 0 | 59 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
17 | Corey Perry | 0 | RW | 25 | 4 | 1 | 5 | -1 | 9 | 5 | 9 | 31 | 8 | 16 | 12.90% | 1 | 11.79 | 1 | 0 | 1 | 29 | 0 | 0 | 0 | 11 | 2 | 1 | 33.33% | 21 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
18 | Antoine Roussel | 0 | LW | 21 | 1 | 3 | 4 | 1 | 10 | 0 | 20 | 22 | 5 | 17 | 4.55% | 0 | 8.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
19 | Taylor Fedun | 0 | D | 19 | 1 | 3 | 4 | -5 | 4 | 0 | 7 | 4 | 5 | 3 | 25.00% | 20 | 16.30 | 0 | 1 | 1 | 13 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
20 | Tyler Pitlick | 0 | C | 30 | 1 | 1 | 2 | 0 | 2 | 0 | 10 | 11 | 3 | 12 | 9.09% | 1 | 5.47 | 0 | 1 | 1 | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 40.74% | 27 | 0 | 0 | 0 | 0 | 0.24 | 0 | 2 | ||
Team Total or Average | 549 | 90 | 163 | 253 | 10 | 240 | 20 | 701 | 954 | 245 | 690 | 9.43% | 255 | 16.86 | 21 | 39 | 60 | 763 | 0 | 0 | 0 | 670 | 19 | 8 | 50.11% | 2668 | 0 | 0 | 1 | 3 | 0.55 | 0 | 6 |
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 | Ben Bishop | 23 | 14 | 5 | 4 | 0.927 | 2.38 | 1359 | 2 | 1 | 54 | 742 | 0 | 0 | 0 | 0.600 | 5 | 23 | 7 | 5 | 2 | 0 | |
2 | Anders Nilsson | 8 | 5 | 2 | 0 | 0.919 | 2.47 | 462 | 2 | 0 | 19 | 234 | 0 | 1 | 0 | 0.000 | 0 | 7 | 23 | 2 | 0 | 0 | |
Team Total or Average | 31 | 19 | 7 | 4 | 0.925 | 2.40 | 1822 | 4 | 1 | 73 | 976 | 0 | 1 | 0 | 0.600 | 5 | 30 | 30 | 7 | 2 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 40 | 5 | 19 | 13 | 3 | 24 | 8 | 0 | 22 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 29 | 21 | 22 | 7 | 12 | 7 | 60.0% | 7.5% | 91.7% | 99.2 | DULL | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 2 | 0 | 0 | 48 | 21 | 13 | 14 | 0 | 74 | 19 | 14 | 45 | 8 | 3 | 37.50% | 7 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 39 | 27 | 56 | 15 | 23 | 11 | 50.0% | 10.4% | 97.3% | 107.7 | LUCKY | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 45 | 21 | 13 | 11 | 0 | 61 | 16 | 14 | 46 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 43 | 28 | 50 | 15 | 25 | 12 | 33.3% | 4.4% | 95.1% | 99.5 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 2 | 0 | 29 | 11 | 5 | 13 | 0 | 23 | 10 | 6 | 20 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 20 | 13 | 25 | 9 | 13 | 6 | 50.0% | 13.8% | 91.3% | 105.1 | LUCKY | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 5 | 3 | 4 | 0 | 68 | 31 | 20 | 17 | 0 | 65 | 12 | 6 | 47 | 10 | 1 | 10.00% | 3 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 52 | 37 | 40 | 14 | 27 | 14 | 73.3% | 17.6% | 93.8% | 111.5 | LUCKY | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 3 | 0 | 63 | 22 | 26 | 15 | 0 | 60 | 17 | 4 | 60 | 8 | 2 | 25.00% | 1 | 1 | 0.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 47 | 31 | 45 | 15 | 27 | 13 | 80.0% | 9.5% | 96.7% | 106.2 | LUCKY | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 2 | 1 | 0 | 82 | 26 | 29 | 27 | 0 | 75 | 13 | 10 | 32 | 8 | 1 | 12.50% | 5 | 2 | 60.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 53 | 38 | 42 | 13 | 24 | 13 | 50.0% | 8.5% | 89.3% | 97.9 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 28 | 8 | 11 | 9 | 0 | 17 | 9 | 10 | 19 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 23 | 15 | 21 | 7 | 14 | 7 | 50.0% | 14.3% | 88.2% | 102.5 | FUN | |
9 | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 10 | 11 | -1 | 4 | 0.500 | 10 | 18 | 28 | 0 | 1 | 6 | 3 | 1 | 0 | 124 | 43 | 33 | 40 | 11 | 149 | 37 | 34 | 98 | 7 | 1 | 14.29% | 11 | 1 | 90.91% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 89 | 62 | 108 | 28 | 48 | 24 | 47.4% | 8.1% | 92.6% | 100.7 | DULL | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 7 | 10 | 11 | 0 | 35 | 6 | 12 | 25 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 20 | 14 | 27 | 8 | 11 | 5 | 66.7% | 7.1% | 97.1% | 104.3 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 1 | 3 | 3 | 0 | 51 | 15 | 19 | 15 | 2 | 83 | 21 | 20 | 46 | 4 | 1 | 25.00% | 10 | 1 | 90.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 40 | 27 | 58 | 15 | 24 | 10 | 50.0% | 13.7% | 91.6% | 105.3 | LUCKY | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 68 | 23 | 22 | 18 | 8 | 58 | 13 | 28 | 49 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 48 | 33 | 48 | 14 | 27 | 13 | 44.4% | 7.4% | 91.4% | 98.7 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 34 | 9 | 17 | 8 | 0 | 26 | 10 | 8 | 23 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 22 | 15 | 23 | 7 | 13 | 6 | 60.0% | 11.8% | 92.3% | 104.1 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 31 | 8 | 11 | 12 | 0 | 27 | 5 | 6 | 15 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 22 | 15 | 25 | 7 | 12 | 5 | 33.3% | 9.7% | 81.5% | 91.2 | FUN | |
15 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 0 | 1 | 36 | 11 | 15 | 8 | 2 | 38 | 5 | 8 | 15 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 24 | 16 | 24 | 7 | 13 | 6 | 66.7% | 8.3% | 94.7% | 103.1 | DULL | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 38 | 8 | 10 | 20 | 0 | 30 | 8 | 4 | 23 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 24 | 17 | 22 | 6 | 12 | 6 | 0.0% | 5.3% | 96.7% | 101.9 | DULL | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 47 | 20 | 13 | 14 | 0 | 81 | 20 | 22 | 42 | 6 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 46 | 31 | 48 | 13 | 24 | 11 | 20.0% | 4.3% | 90.1% | 94.4 | Unlucky | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 0 | 2 | 0 | 34 | 15 | 12 | 7 | 0 | 28 | 7 | 6 | 17 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 25 | 17 | 20 | 7 | 13 | 7 | 80.0% | 14.7% | 92.9% | 107.6 | LUCKY | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 27 | 10 | 5 | 12 | 0 | 22 | 4 | 10 | 30 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 24 | 16 | 22 | 8 | 13 | 7 | 25.0% | 7.4% | 72.7% | 80.1 | Unlucky | |
_Vs Division | 12 | 6 | 3 | 0 | 0 | 1 | 0 | 2 | 28 | 28 | 0 | 15 | 0.625 | 28 | 52 | 80 | 0 | 1 | 13 | 8 | 7 | 0 | 350 | 129 | 107 | 101 | 19 | 422 | 106 | 102 | 294 | 36 | 7 | 19.44% | 33 | 2 | 93.94% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 272 | 185 | 308 | 87 | 151 | 75 | 44.7% | 8.0% | 93.4% | 101.4 | DULL | |
_Vs Conference | 19 | 9 | 6 | 0 | 0 | 2 | 0 | 2 | 46 | 51 | -5 | 22 | 0.579 | 46 | 85 | 131 | 0 | 1 | 14 | 17 | 15 | 0 | 532 | 191 | 166 | 160 | 21 | 632 | 161 | 162 | 450 | 55 | 12 | 21.82% | 62 | 5 | 91.94% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 426 | 289 | 486 | 141 | 242 | 118 | 42.5% | 8.6% | 91.9% | 100.6 | DULL | |
_Since Last GM Reset | 30 | 17 | 7 | 0 | 2 | 2 | 0 | 2 | 88 | 75 | 13 | 42 | 0.700 | 88 | 158 | 246 | 0 | 1 | 27 | 32 | 27 | 2 | 921 | 314 | 303 | 284 | 26 | 976 | 240 | 222 | 674 | 93 | 21 | 22.58% | 92 | 9 | 90.22% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 699 | 481 | 736 | 223 | 385 | 191 | 50.4% | 9.6% | 92.3% | 101.9 | LUCKY | |
Total | 30 | 17 | 7 | 0 | 2 | 2 | 0 | 2 | 88 | 75 | 13 | 42 | 0.700 | 88 | 158 | 246 | 0 | 1 | 27 | 32 | 27 | 2 | 921 | 314 | 303 | 284 | 26 | 976 | 240 | 222 | 674 | 93 | 21 | 22.58% | 92 | 9 | 90.22% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 699 | 481 | 736 | 223 | 385 | 191 | 50.4% | 9.6% | 92.3% | 101.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1051 |
Neutral Zone Start | 471 |
Defensive Zone Start | 1099 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1341 |
Faceoffs Lost | 1280 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 67 |
---|---|
PP Goal | 21 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 11 | 8 |
Lost | 3 | 4 |
Overtime Lost | 1 | 3 |
PP Attempt | 93 |
---|---|
PP Goal | 21 |
PK Attempt | 92 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 30.7 |
Shots Against | 32.5 |
Goals For | 2.9 |
Goals Against | 2.5 |
Hits | 22.5 |
Shots Blocked | 8.0 |
Pim | 7.4 |
Projected Total Cap Hit | 79,591,333$ |
Projected Cap Space | 1,908,667$ |
Retains And Buyout Cap Hit | -1,000,000$ |
Salary Cap To Date | 27,407,114$ |
Players In Salary Cap | 25 |
LTIR Players | 3 |
Stars Roster | Pos | Age | Cap Hit | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Radulov ![]() | RW | 33 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||||
Anders Nilsson | G | 29 | 2,200,000$ | 2,200,000$ | UFA | ||||||
Antoine Roussel | LW | 30 | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | |||||
Ben Bishop ![]() | G | 33 | 4,916,667$ | 4,916,667$ | 4,916,667$ | 4,916,667$ | 4,916,667$ | UFA | |||
Corey Perry ![]() | RW | 34 | 8,625,000$ | 8,000,000$ | 7,000,000$ | UFA | |||||
Devin Shore | C | 25 | 2,250,000$ | 2,250,000$ | |||||||
Esa Lindell ![]() | D | 25 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | |
Jamie Benn ![]() | LW | 30 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |
Jason Dickinson | C/LW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Jay Beagle | C | 34 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Joe Pavelski ![]() | C/RW | 35 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | ||||
John Klingberg | D | 27 | 4,250,000$ | 5,000,000$ | 5,750,000$ | 6,000,000$ | UFA | ||||
Martin Hanzal ![]() ![]() | C | 32 | 4,750,000$ | 4,750,000$ | UFA | ||||||
Mattias Janmark | C/LW/RW | 26 | 2,300,000$ | 2,300,000$ | UFA | ||||||
Mikkel Boedker | LW | 29 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Miro Heiskanen ![]() | D | 20 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Nick Holden | D | 32 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Radko Gudas | D | 29 | 3,350,000$ | 3,350,000$ | UFA | ||||||
Roman Polak | D | 33 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Roope Hintz ![]() | C/LW | 23 | 800,000$ | 800,000$ | RFA | ||||||
Stephen Johns ![]() | D | 27 | 2,350,000$ | 2,350,000$ | 2,350,000$ | UFA | |||||
Taylor Fedun ![]() | D | 31 | 737,500$ | 737,500$ | 737,500$ | UFA | |||||
Tyler Pitlick | C | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Tyler Seguin ![]() | C | 27 | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ |
Non-Roster | Pos | Age | Cap Hit | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andy Andreoff ![]() | LW | 28 | 0$ | 750,000$ | 750,000$ | UFA | |||||
Brett Ritchie ![]() | RW | 26 | 0$ | 1,000,000$ | UFA | ||||||
Chris Bigras ![]() | D | 24 | 700,000$ | 700,000$ | 700,000$ | ||||||
Cole Ully ![]() | LW | 24 | 700,000$ | 700,000$ | |||||||
Colton Point ![]() | G | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Dillon Heatherington ![]() | D | 24 | 700,000$ | 700,000$ | |||||||
Gavin Bayreuther ![]() | D | 25 | 700,000$ | 700,000$ | |||||||
Gemel Smith ![]() | C | 25 | 700,000$ | 700,000$ | |||||||
Greg McKegg ![]() | C/LW | 27 | 0$ | 750,000$ | UFA | ||||||
Jake Oettinger ![]() | G | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
John Nyberg ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Jordan Szwarz ![]() | C/RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Joseph Cecconi ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
Justin Dowling ![]() | C | 29 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Kyle Criscuolo ![]() | C | 27 | 700,000$ | 700,000$ | UFA | ||||||
Landon Bow ![]() | G | 24 | 700,000$ | 700,000$ | |||||||
Nick Caamano ![]() | RW | 21 | 750,000$ | 750,000$ | 750,000$ | RFA | |||||
Niklas Hansson ![]() | D | 24 | 700,000$ | 700,000$ | |||||||
Ondrej Vala ![]() | D | 21 | 700,000$ | 700,000$ | 700,000$ | RFA | |||||
Philippe Desrosiers ![]() | G | 24 | 700,000$ | 700,000$ | |||||||
Philippe Maillet ![]() | C | 27 | 700,000$ | 700,000$ | UFA | ||||||
Remi Elie ![]() | LW | 24 | 0$ | 700,000$ | |||||||
Rhett Gardner ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
Tommy Cross ![]() | D | 30 | 725,000$ | 725,000$ | 725,000$ | UFA | |||||
Tony Calderone ![]() | RW | 25 | 750,000$ | 750,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 40 | 5 | 19 | 13 | 3 | 24 | 8 | 0 | 22 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 29 | 21 | 22 | 7 | 12 | 7 | 60.0% | 7.5% | 91.7% | 99.2 | DULL | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 2 | 0 | 0 | 48 | 21 | 13 | 14 | 0 | 74 | 19 | 14 | 45 | 8 | 3 | 37.50% | 7 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 39 | 27 | 56 | 15 | 23 | 11 | 50.0% | 10.4% | 97.3% | 107.7 | LUCKY | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 45 | 21 | 13 | 11 | 0 | 61 | 16 | 14 | 46 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 43 | 28 | 50 | 15 | 25 | 12 | 33.3% | 4.4% | 95.1% | 99.5 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 2 | 0 | 29 | 11 | 5 | 13 | 0 | 23 | 10 | 6 | 20 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 20 | 13 | 25 | 9 | 13 | 6 | 50.0% | 13.8% | 91.3% | 105.1 | LUCKY | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 5 | 3 | 4 | 0 | 68 | 31 | 20 | 17 | 0 | 65 | 12 | 6 | 47 | 10 | 1 | 10.00% | 3 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 52 | 37 | 40 | 14 | 27 | 14 | 73.3% | 17.6% | 93.8% | 111.5 | LUCKY | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 3 | 0 | 63 | 22 | 26 | 15 | 0 | 60 | 17 | 4 | 60 | 8 | 2 | 25.00% | 1 | 1 | 0.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 47 | 31 | 45 | 15 | 27 | 13 | 80.0% | 9.5% | 96.7% | 106.2 | LUCKY | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 2 | 1 | 0 | 82 | 26 | 29 | 27 | 0 | 75 | 13 | 10 | 32 | 8 | 1 | 12.50% | 5 | 2 | 60.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 53 | 38 | 42 | 13 | 24 | 13 | 50.0% | 8.5% | 89.3% | 97.9 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 28 | 8 | 11 | 9 | 0 | 17 | 9 | 10 | 19 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 23 | 15 | 21 | 7 | 14 | 7 | 50.0% | 14.3% | 88.2% | 102.5 | FUN | |
9 | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 10 | 11 | -1 | 4 | 0.500 | 10 | 18 | 28 | 0 | 1 | 6 | 3 | 1 | 0 | 124 | 43 | 33 | 40 | 11 | 149 | 37 | 34 | 98 | 7 | 1 | 14.29% | 11 | 1 | 90.91% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 89 | 62 | 108 | 28 | 48 | 24 | 47.4% | 8.1% | 92.6% | 100.7 | DULL | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 7 | 10 | 11 | 0 | 35 | 6 | 12 | 25 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 20 | 14 | 27 | 8 | 11 | 5 | 66.7% | 7.1% | 97.1% | 104.3 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 1 | 3 | 3 | 0 | 51 | 15 | 19 | 15 | 2 | 83 | 21 | 20 | 46 | 4 | 1 | 25.00% | 10 | 1 | 90.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 40 | 27 | 58 | 15 | 24 | 10 | 50.0% | 13.7% | 91.6% | 105.3 | LUCKY | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 68 | 23 | 22 | 18 | 8 | 58 | 13 | 28 | 49 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 48 | 33 | 48 | 14 | 27 | 13 | 44.4% | 7.4% | 91.4% | 98.7 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 34 | 9 | 17 | 8 | 0 | 26 | 10 | 8 | 23 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 22 | 15 | 23 | 7 | 13 | 6 | 60.0% | 11.8% | 92.3% | 104.1 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 31 | 8 | 11 | 12 | 0 | 27 | 5 | 6 | 15 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 22 | 15 | 25 | 7 | 12 | 5 | 33.3% | 9.7% | 81.5% | 91.2 | FUN | |
15 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 0 | 1 | 36 | 11 | 15 | 8 | 2 | 38 | 5 | 8 | 15 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 24 | 16 | 24 | 7 | 13 | 6 | 66.7% | 8.3% | 94.7% | 103.1 | DULL | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 38 | 8 | 10 | 20 | 0 | 30 | 8 | 4 | 23 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 24 | 17 | 22 | 6 | 12 | 6 | 0.0% | 5.3% | 96.7% | 101.9 | DULL | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 47 | 20 | 13 | 14 | 0 | 81 | 20 | 22 | 42 | 6 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 46 | 31 | 48 | 13 | 24 | 11 | 20.0% | 4.3% | 90.1% | 94.4 | Unlucky | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 0 | 2 | 0 | 34 | 15 | 12 | 7 | 0 | 28 | 7 | 6 | 17 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 25 | 17 | 20 | 7 | 13 | 7 | 80.0% | 14.7% | 92.9% | 107.6 | LUCKY | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 27 | 10 | 5 | 12 | 0 | 22 | 4 | 10 | 30 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 24 | 16 | 22 | 8 | 13 | 7 | 25.0% | 7.4% | 72.7% | 80.1 | Unlucky | |
_Vs Division | 12 | 6 | 3 | 0 | 0 | 1 | 0 | 2 | 28 | 28 | 0 | 15 | 0.625 | 28 | 52 | 80 | 0 | 1 | 13 | 8 | 7 | 0 | 350 | 129 | 107 | 101 | 19 | 422 | 106 | 102 | 294 | 36 | 7 | 19.44% | 33 | 2 | 93.94% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 272 | 185 | 308 | 87 | 151 | 75 | 44.7% | 8.0% | 93.4% | 101.4 | DULL | |
_Vs Conference | 19 | 9 | 6 | 0 | 0 | 2 | 0 | 2 | 46 | 51 | -5 | 22 | 0.579 | 46 | 85 | 131 | 0 | 1 | 14 | 17 | 15 | 0 | 532 | 191 | 166 | 160 | 21 | 632 | 161 | 162 | 450 | 55 | 12 | 21.82% | 62 | 5 | 91.94% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 426 | 289 | 486 | 141 | 242 | 118 | 42.5% | 8.6% | 91.9% | 100.6 | DULL | |
_Since Last GM Reset | 30 | 17 | 7 | 0 | 2 | 2 | 0 | 2 | 88 | 75 | 13 | 42 | 0.700 | 88 | 158 | 246 | 0 | 1 | 27 | 32 | 27 | 2 | 921 | 314 | 303 | 284 | 26 | 976 | 240 | 222 | 674 | 93 | 21 | 22.58% | 92 | 9 | 90.22% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 699 | 481 | 736 | 223 | 385 | 191 | 50.4% | 9.6% | 92.3% | 101.9 | LUCKY | |
Total | 30 | 17 | 7 | 0 | 2 | 2 | 0 | 2 | 88 | 75 | 13 | 42 | 0.700 | 88 | 158 | 246 | 0 | 1 | 27 | 32 | 27 | 2 | 921 | 314 | 303 | 284 | 26 | 976 | 240 | 222 | 674 | 93 | 21 | 22.58% | 92 | 9 | 90.22% | 0 | 527 | 1051 | 50.14% | 554 | 1099 | 50.41% | 260 | 471 | 55.20% | 699 | 481 | 736 | 223 | 385 | 191 | 50.4% | 9.6% | 92.3% | 101.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1051 |
Neutral Zone Start | 471 |
Defensive Zone Start | 1099 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1341 |
Faceoffs Lost | 1280 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 67 |
---|---|
PP Goal | 21 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 11 | 8 |
Lost | 3 | 4 |
Overtime Lost | 1 | 3 |
PP Attempt | 93 |
---|---|
PP Goal | 21 |
PK Attempt | 92 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 30.7 |
Shots Against | 32.5 |
Goals For | 2.9 |
Goals Against | 2.5 |
Hits | 22.5 |
Shots Blocked | 8.0 |
Pim | 7.4 |
Date | Matchup | Result | Detail | |||||||||||
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2019-10-03 | @ | Bruins2,Stars3 (OT) | RECAP | |||||||||||
2019-10-05 | @ | Stars4,Blues1 | RECAP | |||||||||||
2019-10-06 | @ | Stars5,Red Wings2 | RECAP | |||||||||||
2019-10-08 | @ | Stars2,Capitals5 | RECAP | |||||||||||
2019-10-10 | @ | Flames3,Stars4 | RECAP | |||||||||||
2019-10-12 | @ | Capitals3,Stars5 | RECAP | |||||||||||
2019-10-14 | @ | Stars2,Sabres1 | RECAP | |||||||||||
2019-10-16 | @ | Stars3,Blue Jackets2 (OT) | RECAP | |||||||||||
2019-10-18 | @ | Stars6,Penguins2 | RECAP | |||||||||||
2019-10-19 | @ | Stars4,Flyers2 | RECAP | |||||||||||
2019-10-21 | @ | Senators1,Stars2 | RECAP | |||||||||||
2019-10-24 | @ | Ducks2,Stars4 | RECAP | |||||||||||
2019-10-26 | @ | Penguins2,Stars6 | RECAP | |||||||||||
2019-10-29 | @ | Wild3,Stars0 | RECAP | |||||||||||
2019-11-01 | @ | Stars3,Avalanche1 | RECAP | |||||||||||
2019-11-02 | @ | Canadiens2,Stars4 | RECAP | |||||||||||
2019-11-05 | @ | Avalanche1,Stars2 | RECAP | |||||||||||
2019-11-10 | @ | Stars2,Jets3 (OT) | RECAP | |||||||||||
2019-11-13 | @ | Stars3,Flames4 (OT) | RECAP | |||||||||||
2019-11-14 | @ | Stars2,Canucks1 | RECAP | |||||||||||
2019-11-16 | @ | Stars3,Oilers5 | RECAP | |||||||||||
2019-11-19 | @ | Canucks2,Stars0 | RECAP | |||||||||||
2019-11-21 | @ | Jets0,Stars3 | RECAP | |||||||||||
2019-11-23 | @ | Blackhawks3,Stars4 | RECAP | |||||||||||
2019-11-25 | @ | Golden Knights6,Stars2 | RECAP | |||||||||||
2019-11-26 | @ | Stars1,Blackhawks2 (SO) | RECAP | |||||||||||
2019-11-29 | @ | Blues1,Stars2 | RECAP | |||||||||||
2019-12-01 | @ | Stars2,Wild5 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,879,167$ | -1,000,000$ | 79,591,333$ | 1,908,667$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | American Airlines Center | |
City | Dallas | ||
Capacity | 18532 | ||
Season Ticket Holders | 70% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2532 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 63807 | 54586 | 26283 | 39709 | 14374 |
Attendance PCT | 70.90% | 72.78% | 69.20% | 66.18% | 95.83% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
26 | 13251 - 71.50% | 1,948,311$ | 29,224,672$ | 18532 | 85 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,879,167$ | 87,754,167$ | 0$ | -1,000,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
29,573,640$ | 439,539$ | 27,407,114$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
50,656,098$ | 121 | 476,770$ | 57,689,170$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
59,108,870$ | 79,591,333$ | 81,429,723$ | 77,056,065$ |
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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2020 | |||||||
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Angus Crookshank | 2018 | 137 | 0 | ||
Brett Stapley | 2018 | 199 | 0 | ||
Danil Savunov | 2019 | 193 | 0 | ||
Dmitri Voronkov | 2019 | 131 | 0 | ||
Eric Hjorth | 2019 | 118 | 0 | ||
Fredrik Karlstrom | 2016 | 90 | 0 | ||
Gianni Fairbrother | 2019 | 100 | 0 | ||
Jacob Peterson | 2017 | 132 | 0 | ||
Jesper Eliasson | 2018 | 100 | 0 | ||
Johan Sodergran | 2018 | 168 | 0 | ||
John Beecher | 2019 | 37 | 0 | ||
Karl Henriksson | 2019 | 71 | 0 | ||
Matej Stransky | 2011 | 165 | 0 | ||
Nico Gross | 2018 | 106 | 0 | ||
Riley Tufte | 2016 | 25 | 0 | ||
Ryan Johnson | 2019 | 38 | 0 | ||
Tyler Madden | 2018 | 75 | 0 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2020 | |||||||
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Angus Crookshank | 2018 | 137 | 0 | ||
Brett Stapley | 2018 | 199 | 0 | ||
Danil Savunov | 2019 | 193 | 0 | ||
Dmitri Voronkov | 2019 | 131 | 0 | ||
Eric Hjorth | 2019 | 118 | 0 | ||
Fredrik Karlstrom | 2016 | 90 | 0 | ||
Gianni Fairbrother | 2019 | 100 | 0 | ||
Jacob Peterson | 2017 | 132 | 0 | ||
Jesper Eliasson | 2018 | 100 | 0 | ||
Johan Sodergran | 2018 | 168 | 0 | ||
John Beecher | 2019 | 37 | 0 | ||
Karl Henriksson | 2019 | 71 | 0 | ||
Matej Stransky | 2011 | 165 | 0 | ||
Nico Gross | 2018 | 106 | 0 | ||
Riley Tufte | 2016 | 25 | 0 | ||
Ryan Johnson | 2019 | 38 | 0 | ||
Tyler Madden | 2018 | 75 | 0 |
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