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Full Scoreboard »» |
Dallas Stars 19-13-3, 41pts · 6th in WESTERN CONFERENCE |
# | Player | POS | CON | HT | WT | Age | DOB | POB | Contract | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C/W | 99% | 6' 0" | 190 | 34 | Nov 24, 1989 | $5,800,000/5yrs | 90 | 78 | 58 | 84 | 72 | 71 | 84 | 91 | 86 | 92 | 93 | 86 | 83 | 99 | 99 | 23 | 65 | 82 | |
0 | ![]() | C/W | 100% | 6' 1" | 199 | 32 | Aug 22, 1991 | $7,400,000/1yrs | 96 | 80 | 61 | 91 | 76 | 72 | 84 | 90 | 81 | 92 | 90 | 75 | 78 | 99 | 99 | 36 | 59 | 81 | |
0 | ![]() | C/W | 100% | 6' 1" | 194 | 30 | Feb 12, 1994 | $4,500,000/1yrs | 57 | 26 | 86 | 91 | 74 | 73 | 77 | 89 | 78 | 85 | 83 | 71 | 80 | 99 | 94 | 50 | 63 | 78 | |
0 | ![]() | C/W | 100% | 5' 8" | 185 | 33 | Jul 29, 1990 | $4,000,000/1yrs | 62 | 42 | 81 | 91 | 66 | 83 | 76 | 87 | 84 | 88 | 76 | 69 | 83 | 99 | 99 | 16 | 63 | 77 | |
0 | ![]() | C/LW | 100% | 6' 6" | 230 | 37 | Feb 20, 1987 | $4,250,000/1yrs | 96 | 82 | 57 | 78 | 94 | 82 | 80 | 87 | 89 | 74 | 84 | 64 | 75 | 99 | 99 | 5 | 63 | 77 | |
25 | ![]() | RW | 100% | 6' 3" | 194 | 25 | Jun 01, 1999 | $4,000,000/5yrs | 88 | 88 | 55 | 91 | 76 | 80 | 95 | 86 | 70 | 81 | 83 | 87 | 71 | 59 | 59 | 80 | 62 | 77 | |
0 | ![]() | C/LW | 100% | 6' 1" | 200 | 31 | Feb 24, 1993 | $2,614,000/5yrs | 83 | 68 | 72 | 86 | 76 | 67 | 90 | 64 | 97 | 81 | 67 | 84 | 74 | 99 | 99 | 35 | 66 | 75 | |
0 | ![]() | LW/RW | 100% | 6' 2" | 209 | 25 | Oct 12, 1998 | $2,110,000/1yrs | 89 | 88 | 58 | 96 | 81 | 76 | 82 | 84 | 72 | 76 | 77 | 74 | 69 | 75 | 73 | 68 | 64 | 75 | |
0 | ![]() | C/LW | 100% | 6' 1" | 192 | 28 | Feb 02, 1996 | $4,450,000/2yrs | 69 | 45 | 85 | 84 | 73 | 75 | 82 | 78 | 98 | 79 | 72 | 80 | 79 | 81 | 79 | 60 | 63 | 74 | |
0 | ![]() | LW/RW | 100% | 5' 8" | 163 | 23 | Feb 27, 2001 | $1,250,000/3yrs | 47 | 38 | 89 | 93 | 58 | 80 | 95 | 85 | 60 | 81 | 82 | 80 | 70 | 56 | 56 | 85 | 63 | 74 | |
0 | ![]() | LW/RW | 100% | 5' 10" | 165 | 28 | Mar 11, 1996 | $1,750,000/1yrs | 59 | 40 | 93 | 83 | 60 | 72 | 84 | 81 | 35 | 75 | 85 | 73 | 80 | 77 | 77 | 60 | 49 | 73 | |
73 | ![]() | LW/RW | 100% | 6' 0" | 192 | 25 | Jul 28, 1998 | $2,000,000/3yrs | 91 | 88 | 59 | 92 | 72 | 75 | 84 | 80 | 75 | 71 | 69 | 74 | 35 | 79 | 75 | 67 | 57 | 73 | |
0 | ![]() | D | 100% | 5' 9" | 166 | 34 | Nov 29, 1989 | $7,555,500/1yrs | 62 | 33 | 88 | 88 | 60 | 88 | 80 | 87 | 25 | 89 | 77 | 86 | 65 | 99 | 99 | 24 | 52 | 78 | |
72 | ![]() | D | 100% | 6' 4" | 206 | 32 | Mar 03, 1992 | $3,000,000/3yrs | 94 | 86 | 55 | 78 | 82 | 77 | 78 | 83 | 25 | 75 | 62 | 81 | 62 | 99 | 99 | 36 | 63 | 77 | |
0 | ![]() | D | 100% | 6' 5" | 225 | 34 | May 24, 1990 | $4,000,000/2yrs | 65 | 44 | 89 | 84 | 91 | 88 | 91 | 68 | 25 | 66 | 54 | 84 | 25 | 92 | 90 | 22 | 63 | 76 | |
0 | ![]() | D | 100% | 6' 3" | 208 | 36 | Dec 09, 1987 | $4,350,000/2yrs | 68 | 30 | 89 | 79 | 82 | 86 | 80 | 82 | 25 | 72 | 63 | 77 | 65 | 99 | 99 | 3 | 63 | 75 | |
0 | ![]() | D | 100% | 6' 0" | 195 | 28 | Jun 12, 1996 | $2,666,667/1yrs | 65 | 42 | 92 | 79 | 73 | 83 | 83 | 79 | 25 | 68 | 57 | 89 | 25 | 82 | 80 | 59 | 63 | 74 | |
42 | ![]() | D | 100% | 6' 2" | 199 | 24 | Oct 06, 1999 | $2,675,000/3yrs | 97 | 60 | 80 | 81 | 77 | 81 | 85 | 69 | 25 | 53 | 54 | 86 | 25 | 68 | 66 | 71 | 60 | 73 | |
Scratches | |||||||||||||||||||||||||||
24 | ![]() | RW | 100% | 6' 5" | 200 | 32 | Sep 05, 1991 | $750,000/2yrs | 60 | 31 | 94 | 72 | 81 | 85 | 76 | 88 | 27 | 70 | 69 | 76 | 63 | 99 | 99 | 37 | 27 | 73 | |
80 | ![]() | D | 100% | 6' 5" | 200 | 26 | Jun 08, 1998 | $1,300,000/4yrs | 54 | 51 | 96 | 90 | 81 | 66 | 87 | 78 | 25 | 67 | 65 | 78 | 31 | 79 | 79 | 65 | 21 | 73 |
# | Goalie | Pos | Condition | HT | WT | Age | DOB | POB | Contract | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | G | 100% | 6' 4" | 207 | 31 | May 19, 1993 | $5,500,000/2yrs | 85 | 96 | 99 | 82 | 89 | 92 | 95 | 93 | 91 | 82 | 89 | 99 | 99 | 52 | 56 | 89 | |
32 | ![]() | G | 98% | 6' 6" | 223 | 30 | Jan 22, 1994 | $900,000/1yrs | 82 | 80 | 78 | 91 | 84 | 90 | 91 | 91 | 89 | 87 | 74 | 99 | 94 | 46 | 66 | 86 | |
Scratches |
General Manager | Paul Gagne |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kirill Maksimov | 25 | RW | 35 | 20 | 18 | 38 | 5 | 39 | 15 | 52 | 120 | 25 | 79 | 16.67% | 10 | 18.60 | 3 | 9 | 12 | 115 | 0 | 0 | 0 | 0 | 3 | 0 | 42.86% | 49 | 0 | 0 | 0 | 1 | 1.17 | 0 | 0 | |
2 | Mike Hoffman | 0 | C/LW/RW | 33 | 14 | 23 | 37 | 4 | 16 | 0 | 34 | 146 | 38 | 91 | 9.59% | 8 | 18.65 | 5 | 9 | 14 | 104 | 0 | 0 | 0 | 18 | 2 | 1 | 52.24% | 492 | 0 | 0 | 0 | 0 | 1.20 | 1 | 1 | |
3 | Brayden Schenn | 0 | C/LW/RW | 35 | 9 | 19 | 28 | 9 | 37 | 5 | 90 | 96 | 24 | 72 | 9.38% | 4 | 18.09 | 1 | 2 | 3 | 113 | 0 | 0 | 0 | 4 | 2 | 0 | 54.71% | 786 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | |
4 | Jared Spurgeon | 0 | D | 33 | 8 | 20 | 28 | 10 | 18 | 0 | 35 | 46 | 19 | 42 | 17.39% | 39 | 20.73 | 5 | 3 | 8 | 110 | 0 | 0 | 0 | 44 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | |
5 | Evgeniy Oksentyuk | 0 | LW/RW | 35 | 14 | 14 | 28 | 13 | 0 | 0 | 0 | 105 | 39 | 77 | 13.33% | 5 | 17.60 | 2 | 3 | 5 | 114 | 0 | 0 | 0 | 0 | 1 | 1 | 38.10% | 42 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | |
6 | Alex Galchenyuk | 0 | C/LW/RW | 35 | 9 | 12 | 21 | 14 | 2 | 0 | 3 | 71 | 18 | 49 | 12.68% | 3 | 11.99 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 67.65% | 34 | 0 | 0 | 0 | 1 | 1.00 | 0 | 1 | |
7 | Gustav Forsling | 0 | D | 35 | 5 | 14 | 19 | 7 | 16 | 0 | 64 | 45 | 13 | 23 | 11.11% | 45 | 22.14 | 3 | 3 | 6 | 117 | 0 | 0 | 0 | 122 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
8 | Martin Hanzal | 0 | C/LW | 35 | 4 | 14 | 18 | 8 | 32 | 0 | 54 | 48 | 19 | 37 | 8.33% | 1 | 18.75 | 1 | 5 | 6 | 118 | 0 | 0 | 0 | 0 | 0 | 0 | 54.99% | 411 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
9 | Alex Petrovic | 72 | D | 35 | 3 | 15 | 18 | 6 | 70 | 0 | 106 | 39 | 15 | 26 | 7.69% | 46 | 22.77 | 2 | 2 | 4 | 108 | 0 | 0 | 0 | 91 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
10 | Jonah Gadjovich | 0 | LW/RW | 35 | 8 | 9 | 17 | -2 | 27 | 5 | 58 | 83 | 19 | 57 | 9.64% | 5 | 15.86 | 1 | 3 | 4 | 115 | 0 | 0 | 0 | 61 | 1 | 0 | 42.11% | 38 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
11 | Phillip Danault | 0 | C/LW | 35 | 2 | 12 | 14 | -2 | 13 | 5 | 29 | 33 | 7 | 29 | 6.06% | 4 | 11.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 114 | 0 | 0 | 59.27% | 572 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
12 | Jeff Petry | 0 | D | 35 | 2 | 9 | 11 | 1 | 14 | 0 | 55 | 34 | 16 | 29 | 5.88% | 24 | 16.66 | 1 | 3 | 4 | 114 | 0 | 0 | 0 | 11 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
13 | Martin Fehervary | 42 | D | 34 | 4 | 5 | 9 | 5 | 24 | 0 | 55 | 17 | 6 | 15 | 23.53% | 66 | 18.32 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 113 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
14 | Tyler Johnson | 0 | C/LW/RW | 35 | 2 | 6 | 8 | 0 | 2 | 0 | 6 | 39 | 14 | 34 | 5.13% | 3 | 10.18 | 0 | 0 | 0 | 4 | 1 | 0 | 1 | 51 | 2 | 0 | 50.00% | 136 | 0 | 0 | 0 | 0 | 0.45 | 0 | 1 | |
15 | Conor Garland | 0 | LW/RW | 22 | 4 | 4 | 8 | -10 | 2 | 0 | 7 | 45 | 9 | 27 | 8.89% | 1 | 12.80 | 1 | 3 | 4 | 37 | 0 | 0 | 0 | 0 | 0 | 0 | 29.17% | 24 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
16 | Mattias Ekholm | 0 | D | 35 | 2 | 5 | 7 | 5 | 28 | 0 | 44 | 14 | 6 | 18 | 14.29% | 49 | 20.17 | 0 | 0 | 0 | 12 | 0 | 1 | 1 | 99 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
17 | Noah Gregor | 73 | LW/RW | 34 | 2 | 3 | 5 | -3 | 19 | 5 | 40 | 43 | 9 | 30 | 4.65% | 2 | 11.36 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 105 | 0 | 1 | 50.00% | 40 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
18 | Christian Dvorak | 0 | C/LW | 35 | 1 | 3 | 4 | -2 | 0 | 0 | 0 | 46 | 10 | 37 | 2.17% | 4 | 9.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 1 | 0 | 58.63% | 452 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
19 | Alexandre Grenier | 24 | RW | 14 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 5 | 7 | 7.69% | 4 | 11.64 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
20 | Markus Niemelainen | 80 | D | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 0 | 0 | 1 | 0.00% | 4 | 13.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 628 | 114 | 205 | 319 | 67 | 359 | 35 | 735 | 1083 | 311 | 780 | 10.53% | 327 | 16.40 | 25 | 45 | 70 | 1211 | 1 | 1 | 2 | 908 | 18 | 4 | 54.79% | 3088 | 0 | 0 | 0 | 2 | 0.62 | 1 | 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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Hellebuyck | 24 | 24 | 11 | 10 | 1 | 0.902 | 2.91 | -8.9 | 1362 | 0 | 2 | 66 | 672 | 0 | 0 | 1 | 0.000 | 0 | 24 | 11 | 4 | 2 | 1 | |
2 | Jon Gillies | 14 | 11 | 8 | 3 | 2 | 0.926 | 2.33 | 4.4 | 748 | 0 | 0 | 29 | 393 | 0 | 0 | 1 | 0.333 | 3 | 11 | 24 | 2 | 0 | 0 | |
Team Total or Average | 38 | 35 | 19 | 13 | 3 | 0.911 | 2.70 | 2111 | 0 | 2 | 95 | 1065 | 0 | 0 | 2 | 0.333 | 3 | 35 | 35 | 6 | 2 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 34 | 9 | 12 | 13 | 0 | 25 | 10 | 5 | 18 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 25 | 18 | 21 | 6 | 12 | 6 | 75.0% | 14.7% | 96.0% | 110.7 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 20 | 6 | 9 | 5 | 0 | 37 | 12 | 23 | 18 | 4 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 21 | 13 | 26 | 8 | 12 | 5 | 60.0% | 15.0% | 86.5% | 101.5 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 1 | 1 | 0 | 0 | 27 | 13 | 6 | 8 | 0 | 24 | 10 | 9 | 15 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 26 | 19 | 21 | 6 | 12 | 5 | 20.0% | 7.4% | 83.3% | 90.7 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 25 | 10 | 7 | 8 | 0 | 39 | 11 | 12 | 16 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 22 | 13 | 25 | 8 | 12 | 6 | 75.0% | 16.0% | 97.4% | 113.4 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 41 | 9 | 12 | 20 | 0 | 24 | 7 | 4 | 24 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 28 | 21 | 20 | 6 | 11 | 6 | 71.4% | 14.6% | 87.5% | 102.1 | FUN | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 13 | 12 | 7 | 0 | 25 | 8 | 14 | 23 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 24 | 16 | 24 | 6 | 11 | 5 | 50.0% | 6.3% | 96.0% | 102.3 | DULL | |
7 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 6 | 0.750 | 13 | 25 | 38 | 0 | 0 | 2 | 4 | 7 | 0 | 128 | 28 | 45 | 55 | 0 | 89 | 18 | 44 | 80 | 22 | 6 | 27.27% | 21 | 3 | 85.71% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 99 | 68 | 87 | 32 | 52 | 26 | 50.0% | 10.2% | 88.8% | 98.9 | FUN | |
8 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 4 | 4 | 3 | 0 | 85 | 31 | 27 | 27 | 0 | 94 | 24 | 31 | 62 | 16 | 5 | 31.25% | 13 | 3 | 76.92% | 1 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 68 | 47 | 72 | 23 | 39 | 19 | 46.2% | 12.9% | 89.4% | 102.3 | FUN | |
9 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 9 | -1 | 3 | 0.500 | 8 | 12 | 20 | 0 | 0 | 3 | 2 | 3 | 0 | 59 | 25 | 16 | 15 | 3 | 105 | 57 | 50 | 56 | 8 | 1 | 12.50% | 17 | 1 | 94.12% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 59 | 39 | 87 | 23 | 37 | 17 | 46.7% | 13.6% | 91.4% | 105.0 | LUCKY | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 0 | 3 | 3 | 0 | 60 | 26 | 21 | 13 | 0 | 60 | 15 | 24 | 51 | 8 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 43 | 29 | 51 | 14 | 24 | 12 | 66.7% | 10.0% | 93.3% | 103.3 | LUCKY | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 65 | 25 | 18 | 22 | 0 | 67 | 20 | 16 | 44 | 6 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 46 | 31 | 48 | 15 | 25 | 11 | 23.1% | 4.6% | 85.1% | 89.7 | Unlucky | |
12 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 18 | -6 | 0 | 0.000 | 12 | 23 | 35 | 1 | 0 | 3 | 4 | 5 | 0 | 139 | 54 | 35 | 50 | 0 | 113 | 40 | 30 | 93 | 18 | 3 | 16.67% | 10 | 4 | 60.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 104 | 76 | 85 | 27 | 49 | 25 | 39.1% | 8.6% | 84.1% | 92.7 | Unlucky | |
13 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | 7 | 6 | 5 | 0.833 | 13 | 20 | 33 | 0 | 1 | 7 | 5 | 1 | 1 | 111 | 32 | 42 | 37 | 3 | 85 | 20 | 26 | 66 | 9 | 0 | 0.00% | 13 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 75 | 52 | 69 | 21 | 40 | 21 | 65.0% | 11.7% | 91.8% | 103.5 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 0 | 2 | 1 | 0 | 39 | 9 | 13 | 17 | 0 | 22 | 8 | 8 | 25 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 25 | 18 | 21 | 7 | 12 | 6 | 100.0% | 7.7% | 100.0% | 107.7 | DULL | |
15 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 1 | 1 | 61 | 25 | 16 | 17 | 3 | 83 | 19 | 22 | 42 | 3 | 1 | 33.33% | 10 | 3 | 70.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 45 | 30 | 49 | 15 | 27 | 13 | 62.5% | 9.8% | 92.8% | 102.6 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 33 | 9 | 11 | 13 | 0 | 41 | 7 | 8 | 26 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 23 | 15 | 25 | 7 | 11 | 5 | 80.0% | 12.1% | 97.6% | 109.7 | LUCKY | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 34 | 10 | 11 | 13 | 0 | 33 | 7 | 10 | 18 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 25 | 18 | 21 | 7 | 12 | 5 | 80.0% | 14.7% | 93.9% | 108.6 | LUCKY | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 4 | 2 | 0 | 56 | 16 | 18 | 22 | 0 | 59 | 19 | 10 | 50 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 49 | 34 | 46 | 14 | 24 | 12 | 70.0% | 14.3% | 93.2% | 107.5 | LUCKY | |
19 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 11 | 7 | 5 | 0 | 42 | 15 | 17 | 19 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 19 | 11 | 28 | 8 | 13 | 6 | 33.3% | 4.3% | 95.2% | 99.6 | DULL | |
_Vs Division | 21 | 8 | 10 | 0 | 1 | 1 | 0 | 1 | 66 | 70 | -4 | 20 | 0.476 | 66 | 117 | 183 | 1 | 1 | 24 | 21 | 20 | 2 | 648 | 220 | 199 | 223 | 9 | 636 | 198 | 219 | 443 | 82 | 16 | 19.51% | 92 | 14 | 84.78% | 1 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 499 | 347 | 501 | 157 | 271 | 133 | 47.2% | 10.2% | 89.0% | 99.2 | FUN | |
_Vs Conference | 28 | 13 | 11 | 0 | 1 | 2 | 0 | 1 | 89 | 82 | 7 | 31 | 0.554 | 89 | 160 | 249 | 1 | 1 | 30 | 30 | 28 | 2 | 845 | 292 | 263 | 284 | 9 | 877 | 265 | 290 | 605 | 111 | 18 | 16.22% | 123 | 16 | 86.99% | 1 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 657 | 452 | 678 | 211 | 357 | 176 | 51.8% | 10.5% | 90.6% | 101.2 | FUN | |
_Since Last GM Reset | 35 | 18 | 13 | 0 | 1 | 2 | 0 | 1 | 115 | 98 | 17 | 41 | 0.586 | 115 | 204 | 319 | 2 | 2 | 35 | 41 | 38 | 2 | 1072 | 361 | 338 | 367 | 9 | 1067 | 327 | 363 | 746 | 138 | 24 | 17.39% | 150 | 21 | 86.00% | 1 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 833 | 579 | 836 | 261 | 444 | 218 | 54.2% | 10.7% | 90.8% | 101.5 | FUN | |
Total | 35 | 18 | 13 | 0 | 1 | 2 | 0 | 1 | 115 | 98 | 17 | 41 | 0.586 | 115 | 204 | 319 | 2 | 2 | 35 | 41 | 38 | 2 | 1072 | 361 | 338 | 367 | 9 | 1067 | 327 | 363 | 746 | 138 | 24 | 17.39% | 150 | 21 | 86.00% | 1 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 833 | 579 | 836 | 261 | 444 | 218 | 54.2% | 10.7% | 90.8% | 101.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1236 |
Neutral Zone Start | 545 |
Defensive Zone Start | 1276 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1689 |
Faceoffs Lost | 1368 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 30.5 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 88 |
---|---|
PP Goal | 24 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 8 | 11 |
Lost | 7 | 6 |
Overtime Lost | 2 | 1 |
PP Attempt | 138 |
---|---|
PP Goal | 24 |
PK Attempt | 150 |
PK Goal Against | 21 |
Home | |
---|---|
Shots For | 30.6 |
Shots Against | 30.5 |
Goals For | 3.3 |
Goals Against | 2.8 |
Hits | 21.3 |
Shots Blocked | 9.3 |
Pim | 10.4 |
![]() | |
Projected Total Cap Hit | $78,783,667 |
Projected Cap Space | $2,716,333 |
Retains And Buyout Cap Hit | $1,962,500 |
Players In Salary Cap | 22 |
Contracts | 50/55 |
LTIR Players | 0 |
Prospect Count | 17 |
Stars Roster | Pos | Age | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
---|---|---|---|---|---|---|---|---|---|---|
Alex Galchenyuk | C/LW/RW | 30 | $4,500,000 | |||||||
Alex Petrovic | D | 32 | $3,000,000 | $3,000,000 | $3,000,000 | |||||
Alexandre Grenier | RW | 32 | $750,000 | $750,000 | ||||||
Brayden Schenn | C/LW/RW | 32 | $7,400,000 | |||||||
Christian Dvorak | C/LW | 28 | $4,450,000 | $4,450,000 | ||||||
Connor Hellebuyck | G | 31 | $5,500,000 | $5,500,000 | ||||||
Conor Garland | LW/RW | 28 | $1,750,000 | |||||||
Evgeniy Oksentyuk | LW/RW | 23 | $1,250,000 | $1,250,000 | $1,250,000 | |||||
Gustav Forsling | D | 28 | $2,666,667 | |||||||
Jared Spurgeon | D | 34 | $7,555,500 | |||||||
Jeff Petry | D | 36 | $4,350,000 | $4,350,000 | ||||||
Jon Gillies | G | 30 | $900,000 | |||||||
Jonah Gadjovich | LW/RW | 25 | $2,110,000 | |||||||
Kirill Maksimov | RW | 25 | $4,000,000 | $4,000,000 | $4,000,000 | $4,000,000 | $4,000,000 | |||
Markus Niemelainen | D | 26 | $1,300,000 | $1,300,000 | $1,300,000 | $1,300,000 | ||||
Martin Fehervary | D | 24 | $2,675,000 | $2,675,000 | $2,675,000 | |||||
Martin Hanzal | C/LW | 37 | $4,250,000 | |||||||
Mattias Ekholm | D | 34 | $4,000,000 | $4,000,000 | ||||||
Mike Hoffman | C/LW/RW | 34 | $5,800,000 | $5,800,000 | $5,800,000 | $5,800,000 | $5,800,000 | |||
Noah Gregor | LW/RW | 25 | $2,000,000 | $2,000,000 | $2,000,000 | |||||
Phillip Danault | C/LW | 31 | $2,614,000 | $2,614,000 | $2,614,000 | $2,614,000 | $2,614,000 | |||
Tyler Johnson | C/LW/RW | 33 | $4,000,000 |
Stars Roster | Pos | Age | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
---|---|---|---|---|---|---|---|---|---|---|
Alex Bump | LW | 20 | $925,000 | $925,000 | ||||||
Aydar Suniev | LW | 19 | $925,000 | $925,000 | $925,000 | |||||
Brendan Brisson | C | 22 | $925,000 | $925,000 | ||||||
Cole Coskey | RW | 25 | $1,600,000 | $1,600,000 | $1,600,000 | $1,600,000 | $1,600,000 | |||
Colton Dach | C/LW | 21 | $925,000 | $925,000 | ||||||
Daniel Torgersson | LW/RW | 22 | $867,500 | $867,500 | $867,500 | |||||
Daniil Chayka | D | 21 | $925,000 | $925,000 | ||||||
Daniil Tarasov | G | 25 | $900,000 | $900,000 | $900,000 | |||||
Dylan Holloway | C/LW | 22 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | |||
Erik Portillo | G | 23 | $925,000 | $925,000 | $925,000 | |||||
Ethan Cardwell | C | 21 | $925,000 | $925,000 | $925,000 | |||||
George Fegaras | D | 20 | $925,000 | $925,000 | ||||||
JC Beaudin | C/RW | 27 | $750,000 | $750,000 | $750,000 | |||||
Jack Beck | LW/RW | 21 | $925,000 | $925,000 | ||||||
Jaydin Dureau | LW | 23 | $925,000 | |||||||
Joachim Blichfeld | LW/RW | 26 | $800,000 | $800,000 | ||||||
Joel L'Esperance | C/RW | 28 | $750,000 | $750,000 | $750,000 | $750,000 | ||||
Kole Sherwood | C/RW | 27 | $1,000,000 | |||||||
Linus Arnesson | D | 29 | $750,000 | $750,000 | $750,000 | $750,000 | ||||
Matthew Cairns | D | 25 | $800,000 | |||||||
Michal Teply | LW/RW | 23 | $1,014,000 | |||||||
Nathan Gaucher | C | 20 | $925,000 | $925,000 | $925,000 | |||||
Nils Lundkvist | D | 23 | $1,100,000 | $1,100,000 | $1,100,000 | $1,100,000 | $1,100,000 | |||
Santeri Hatakka | D | 23 | $925,000 | $925,000 | ||||||
Stuart Skinner | G | 25 | $750,000 | $2,600,000 | $2,600,000 | $2,600,000 | ||||
Tyson Kozak | C/RW | 21 | $925,000 | |||||||
Vladislav Kolyachonok | D | 23 | $900,000 | $900,000 | $900,000 | $900,000 | ||||
Yan Kuznetsov | D | 22 | $925,000 | $925,000 | $925,000 |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 34 | 9 | 12 | 13 | 0 | 25 | 10 | 5 | 18 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 25 | 18 | 21 | 6 | 12 | 6 | 75.0% | 14.7% | 96.0% | 110.7 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 20 | 6 | 9 | 5 | 0 | 37 | 12 | 23 | 18 | 4 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 21 | 13 | 26 | 8 | 12 | 5 | 60.0% | 15.0% | 86.5% | 101.5 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 1 | 1 | 0 | 0 | 27 | 13 | 6 | 8 | 0 | 24 | 10 | 9 | 15 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 26 | 19 | 21 | 6 | 12 | 5 | 20.0% | 7.4% | 83.3% | 90.7 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 25 | 10 | 7 | 8 | 0 | 39 | 11 | 12 | 16 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 22 | 13 | 25 | 8 | 12 | 6 | 75.0% | 16.0% | 97.4% | 113.4 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 41 | 9 | 12 | 20 | 0 | 24 | 7 | 4 | 24 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 28 | 21 | 20 | 6 | 11 | 6 | 71.4% | 14.6% | 87.5% | 102.1 | FUN | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 13 | 12 | 7 | 0 | 25 | 8 | 14 | 23 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 24 | 16 | 24 | 6 | 11 | 5 | 50.0% | 6.3% | 96.0% | 102.3 | DULL | |
7 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 6 | 0.750 | 13 | 25 | 38 | 0 | 0 | 2 | 4 | 7 | 0 | 128 | 28 | 45 | 55 | 0 | 89 | 18 | 44 | 80 | 22 | 6 | 27.27% | 21 | 3 | 85.71% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 99 | 68 | 87 | 32 | 52 | 26 | 50.0% | 10.2% | 88.8% | 98.9 | FUN | |
8 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 4 | 4 | 3 | 0 | 85 | 31 | 27 | 27 | 0 | 94 | 24 | 31 | 62 | 16 | 5 | 31.25% | 13 | 3 | 76.92% | 1 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 68 | 47 | 72 | 23 | 39 | 19 | 46.2% | 12.9% | 89.4% | 102.3 | FUN | |
9 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 9 | -1 | 3 | 0.500 | 8 | 12 | 20 | 0 | 0 | 3 | 2 | 3 | 0 | 59 | 25 | 16 | 15 | 3 | 105 | 57 | 50 | 56 | 8 | 1 | 12.50% | 17 | 1 | 94.12% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 59 | 39 | 87 | 23 | 37 | 17 | 46.7% | 13.6% | 91.4% | 105.0 | LUCKY | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 0 | 3 | 3 | 0 | 60 | 26 | 21 | 13 | 0 | 60 | 15 | 24 | 51 | 8 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 43 | 29 | 51 | 14 | 24 | 12 | 66.7% | 10.0% | 93.3% | 103.3 | LUCKY | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 65 | 25 | 18 | 22 | 0 | 67 | 20 | 16 | 44 | 6 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 46 | 31 | 48 | 15 | 25 | 11 | 23.1% | 4.6% | 85.1% | 89.7 | Unlucky | |
12 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 18 | -6 | 0 | 0.000 | 12 | 23 | 35 | 1 | 0 | 3 | 4 | 5 | 0 | 139 | 54 | 35 | 50 | 0 | 113 | 40 | 30 | 93 | 18 | 3 | 16.67% | 10 | 4 | 60.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 104 | 76 | 85 | 27 | 49 | 25 | 39.1% | 8.6% | 84.1% | 92.7 | Unlucky | |
13 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | 7 | 6 | 5 | 0.833 | 13 | 20 | 33 | 0 | 1 | 7 | 5 | 1 | 1 | 111 | 32 | 42 | 37 | 3 | 85 | 20 | 26 | 66 | 9 | 0 | 0.00% | 13 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 75 | 52 | 69 | 21 | 40 | 21 | 65.0% | 11.7% | 91.8% | 103.5 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 0 | 2 | 1 | 0 | 39 | 9 | 13 | 17 | 0 | 22 | 8 | 8 | 25 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 25 | 18 | 21 | 7 | 12 | 6 | 100.0% | 7.7% | 100.0% | 107.7 | DULL | |
15 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 1 | 1 | 61 | 25 | 16 | 17 | 3 | 83 | 19 | 22 | 42 | 3 | 1 | 33.33% | 10 | 3 | 70.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 45 | 30 | 49 | 15 | 27 | 13 | 62.5% | 9.8% | 92.8% | 102.6 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 33 | 9 | 11 | 13 | 0 | 41 | 7 | 8 | 26 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 23 | 15 | 25 | 7 | 11 | 5 | 80.0% | 12.1% | 97.6% | 109.7 | LUCKY | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 34 | 10 | 11 | 13 | 0 | 33 | 7 | 10 | 18 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 25 | 18 | 21 | 7 | 12 | 5 | 80.0% | 14.7% | 93.9% | 108.6 | LUCKY | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 4 | 2 | 0 | 56 | 16 | 18 | 22 | 0 | 59 | 19 | 10 | 50 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 49 | 34 | 46 | 14 | 24 | 12 | 70.0% | 14.3% | 93.2% | 107.5 | LUCKY | |
19 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 11 | 7 | 5 | 0 | 42 | 15 | 17 | 19 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 19 | 11 | 28 | 8 | 13 | 6 | 33.3% | 4.3% | 95.2% | 99.6 | DULL | |
_Vs Division | 21 | 8 | 10 | 0 | 1 | 1 | 0 | 1 | 66 | 70 | -4 | 20 | 0.476 | 66 | 117 | 183 | 1 | 1 | 24 | 21 | 20 | 2 | 648 | 220 | 199 | 223 | 9 | 636 | 198 | 219 | 443 | 82 | 16 | 19.51% | 92 | 14 | 84.78% | 1 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 499 | 347 | 501 | 157 | 271 | 133 | 47.2% | 10.2% | 89.0% | 99.2 | FUN | |
_Vs Conference | 28 | 13 | 11 | 0 | 1 | 2 | 0 | 1 | 89 | 82 | 7 | 31 | 0.554 | 89 | 160 | 249 | 1 | 1 | 30 | 30 | 28 | 2 | 845 | 292 | 263 | 284 | 9 | 877 | 265 | 290 | 605 | 111 | 18 | 16.22% | 123 | 16 | 86.99% | 1 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 657 | 452 | 678 | 211 | 357 | 176 | 51.8% | 10.5% | 90.6% | 101.2 | FUN | |
_Since Last GM Reset | 35 | 18 | 13 | 0 | 1 | 2 | 0 | 1 | 115 | 98 | 17 | 41 | 0.586 | 115 | 204 | 319 | 2 | 2 | 35 | 41 | 38 | 2 | 1072 | 361 | 338 | 367 | 9 | 1067 | 327 | 363 | 746 | 138 | 24 | 17.39% | 150 | 21 | 86.00% | 1 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 833 | 579 | 836 | 261 | 444 | 218 | 54.2% | 10.7% | 90.8% | 101.5 | FUN | |
Total | 35 | 18 | 13 | 0 | 1 | 2 | 0 | 1 | 115 | 98 | 17 | 41 | 0.586 | 115 | 204 | 319 | 2 | 2 | 35 | 41 | 38 | 2 | 1072 | 361 | 338 | 367 | 9 | 1067 | 327 | 363 | 746 | 138 | 24 | 17.39% | 150 | 21 | 86.00% | 1 | 682 | 1236 | 55.18% | 715 | 1276 | 56.03% | 292 | 545 | 53.58% | 833 | 579 | 836 | 261 | 444 | 218 | 54.2% | 10.7% | 90.8% | 101.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1236 |
Neutral Zone Start | 545 |
Defensive Zone Start | 1276 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1689 |
Faceoffs Lost | 1368 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 30.5 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 88 |
---|---|
PP Goal | 24 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 8 | 11 |
Lost | 7 | 6 |
Overtime Lost | 2 | 1 |
PP Attempt | 138 |
---|---|
PP Goal | 24 |
PK Attempt | 150 |
PK Goal Against | 21 |
Home | |
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Shots For | 30.6 |
Shots Against | 30.5 |
Goals For | 3.3 |
Goals Against | 2.8 |
Hits | 21.3 |
Shots Blocked | 9.3 |
Pim | 10.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sun, Jun 23 | @ | DAL5,COL4 | RECAP | |||||||||||
Tue, Jun 25 | @ | NSH4,DAL1 | RECAP | |||||||||||
Thu, Jun 27 | @ | DAL4,CHI0 | RECAP | |||||||||||
Sat, Jun 29 | @ | DAL2,STL6 | RECAP | |||||||||||
Sun, Jun 30 | @ | UTA5,DAL4 | RECAP | |||||||||||
Wed, Jul 3 | @ | CHI3,DAL6 | RECAP | |||||||||||
Fri, Jul 5 | @ | DAL4,NSH1 | RECAP | |||||||||||
Sun, Jul 7 | @ | NSH4,DAL3 (OT) | RECAP | |||||||||||
Tue, Jul 9 | @ | STL4,DAL1 | RECAP | |||||||||||
Thu, Jul 11 | @ | DAL4,COL3 | RECAP | |||||||||||
Sat, Jul 13 | @ | DAL1,UTA3 | RECAP | |||||||||||
Sun, Jul 14 | @ | DAL5,SEA3 | RECAP | |||||||||||
Tue, Jul 16 | @ | MIN1,DAL3 | RECAP | |||||||||||
Thu, Jul 18 | @ | DAL4,MIN1 | RECAP | |||||||||||
Sat, Jul 20 | @ | TOR2,DAL5 | RECAP | |||||||||||
Mon, Jul 22 | @ | DAL1,WPG2 | RECAP | |||||||||||
Wed, Jul 24 | @ | WPG4,DAL5 (OT) | RECAP | |||||||||||
Fri, Jul 26 | @ | DAL3,CHI4 (SO) | RECAP | |||||||||||
Sun, Jul 28 | @ | EDM1,DAL5 | RECAP | |||||||||||
Tue, Jul 30 | @ | DAL2,UTA3 | RECAP | |||||||||||
Wed, Jul 31 | @ | UTA7,DAL5 | RECAP | |||||||||||
Sat, Aug 3 | @ | DAL2,HAR4 | RECAP | |||||||||||
Mon, Aug 5 | @ | COL3,DAL2 | RECAP | |||||||||||
Wed, Aug 7 | @ | NYI5,DAL3 | RECAP | |||||||||||
Fri, Aug 9 | @ | DAL2,DET1 | RECAP | |||||||||||
Sat, Aug 10 | @ | DAL3,CBJ0 | RECAP | |||||||||||
Mon, Aug 12 | @ | ANA1,DAL4 | RECAP | |||||||||||
Wed, Aug 14 | @ | DAL5,MIN2 | RECAP | |||||||||||
Fri, Aug 16 | @ | NYR3,DAL6 | RECAP | |||||||||||
Mon, Aug 19 | @ | VGK2,DAL1 (OT) | RECAP | |||||||||||
Wed, Aug 21 | @ | DAL5,PHI1 | RECAP | |||||||||||
Thu, Aug 22 | @ | MIN6,DAL1 | RECAP | |||||||||||
Sat, Aug 24 | @ | DAL1,EDM3 | RECAP | |||||||||||
Mon, Aug 26 | @ | SEA1,DAL3 | RECAP | |||||||||||
Wed, Aug 28 | @ | DAL4,VAN1 | RECAP | |||||||||||
Fri, Aug 30 | @ | |||||||||||||
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Tue, Oct 1 | @ | |||||||||||||
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Fri, Oct 11 | @ | |||||||||||||
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Sun, Oct 27 | @ | |||||||||||||
Tue, Oct 29 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Oct 30 | @ | |||||||||||||
Fri, Nov 1 | @ | |||||||||||||
Sun, Nov 3 | @ | |||||||||||||
Wed, Nov 6 | @ | |||||||||||||
Fri, Nov 8 | @ | |||||||||||||
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Sat, Nov 23 | @ | |||||||||||||
Mon, Nov 25 | @ | |||||||||||||
Sat, Nov 30 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
76,821,167$ | 1,962,500$ | 78,783,667$ | 2,716,333$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | American Airlines Center | |
City | Dallas | ||
Capacity | 18500 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5500 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 45$ | 30$ | 200$ |
Attendance | 84238 | 77074 | 28029 | 56341 | 14128 |
Attendance PCT | 82.59% | 82.43% | 82.44% | 82.85% | 83.11% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
24 | 15283 - 82.61% | 1,649,989$ | 28,049,809$ | 18500 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
76,821,167$ | 75,071,167$ | 0$ | 1,962,500$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
31,903,688$ | 76,821,167$ | 31,903,688$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
39,599,730$ | 95 | 474,205$ | 45,049,475$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
46,363,420$ | 78,783,667$ | 57,640,933$ | 55,008,547$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 |
---|---|---|---|
14 | ![]() ![]() | ![]() ![]() | ![]() ![]() |
15 | ![]() | ![]() | |
16 | ![]() | ![]() | ![]() |
17 | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Albin Sundsvik | 2023 | 93 | |||
Andriei Buyalsky | 9 | 78 | |||
Dylan Roobroeck | 13 | 29 | |||
Eemil Viro | 2023 | 59 | |||
Eetu Makiniemi | 8 | 88 | |||
Jacob Olofsson | 3 | 28 | |||
Joel Maatta | 13 | 89 | |||
Jonathan Castagna | 13 | 30 | |||
Landon Sim | 11 | 52 | |||
Luke Devlin | 11 | 70 | |||
Patrick Moynihan | 2023 | 92 | |||
Roni Hirvonen | 8 | 44 | |||
Ryan Walsh | 13 | 81 | |||
Samuel Jonsson | 13 | 96 | |||
Terrell Goldsmith | 13 | 47 | |||
Topias Leinonen | 12 | 41 | |||
Zach Nehring | 13 | 79 |
Year | Ronde 1 | Ronde 2 | Ronde 3 |
---|---|---|---|
14 | ![]() ![]() | ![]() ![]() | ![]() ![]() |
15 | ![]() | ![]() | |
16 | ![]() | ![]() | ![]() |
17 | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Albin Sundsvik | 2023 | 93 | |||
Andriei Buyalsky | 9 | 78 | |||
Dylan Roobroeck | 13 | 29 | |||
Eemil Viro | 2023 | 59 | |||
Eetu Makiniemi | 8 | 88 | |||
Jacob Olofsson | 3 | 28 | |||
Joel Maatta | 13 | 89 | |||
Jonathan Castagna | 13 | 30 | |||
Landon Sim | 11 | 52 | |||
Luke Devlin | 11 | 70 | |||
Patrick Moynihan | 2023 | 92 | |||
Roni Hirvonen | 8 | 44 | |||
Ryan Walsh | 13 | 81 | |||
Samuel Jonsson | 13 | 96 | |||
Terrell Goldsmith | 13 | 47 | |||
Topias Leinonen | 12 | 41 | |||
Zach Nehring | 13 | 79 |
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