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Jun 5 |
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Jun 5 |
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![]() | Texas Stars 0-0-0, 0pts · 12th in Western Conference |
PLAYER | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | MO | OV | AGE | CONTRACT | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | LW/RW | 100.00 | 82 | 81 | 92 | 48 | 83 | 78 | 80 | 48 | 66 | 47 | 48 | 60 | 63 | 76 | 72 | 76 | 52 | 30 | 800,000$ / 2 yrs | |||||
![]() | C | 100.00 | 73 | 92 | 71 | 49 | 91 | 77 | 71 | 47 | 71 | 46 | 48 | 58 | 52 | 74 | 69 | 22 | 52 | 28 | 800,000$ / 1 yrs | |||||
![]() | C | 100.00 | 83 | 87 | 81 | 47 | 81 | 81 | 71 | 48 | 76 | 47 | 48 | 67 | 53 | 70 | 68 | 50 | 52 | 26 | 800,000$ / 1 yrs | |||||
![]() | LW | 100.00 | 87 | 93 | 73 | 44 | 82 | 90 | 92 | 44 | 59 | 45 | 45 | 66 | 70 | 68 | 69 | 62 | 51 | 28 | 700,000$ / 1 yrs | |||||
![]() | LW | 100.00 | 73 | 51 | 79 | 47 | 84 | 87 | 90 | 46 | 60 | 48 | 45 | 61 | 69 | 69 | 70 | 58 | 51 | 28 | 700,000$ / 1 yrs | |||||
![]() | C | 100.00 | 63 | 39 | 83 | 47 | 78 | 92 | 94 | 46 | 75 | 48 | 48 | 69 | 75 | 67 | 67 | 57 | 51 | 26 | 800,000$ / 1 yrs | |||||
![]() | C/RW | 100.00 | 64 | 31 | 83 | 48 | 77 | 87 | 89 | 47 | 77 | 50 | 45 | 62 | 74 | 63 | 62 | 57 | 50 | 21 | 100,000$ / 6 yrs | |||||
![]() | LW | 100.00 | 69 | 34 | 79 | 45 | 76 | 85 | 87 | 46 | 61 | 48 | 45 | 59 | 72 | 63 | 63 | 57 | 50 | 22 | 100,000$ / 6 yrs | |||||
![]() | C | 100.00 | 59 | 34 | 94 | 48 | 78 | 78 | 71 | 48 | 59 | 50 | 45 | 59 | 53 | 68 | 66 | 55 | 50 | 25 | 900,000$ / 1 yrs | |||||
![]() | C/LW | 100.00 | 63 | 36 | 82 | 45 | 72 | 91 | 92 | 45 | 75 | 47 | 44 | 57 | 68 | 65 | 66 | 57 | 49 | 24 | 100,000$ / 6 yrs | |||||
![]() | LW/RW | 100.00 | 62 | 33 | 88 | 42 | 80 | 89 | 89 | 42 | 60 | 45 | 43 | 58 | 65 | 64 | 63 | 57 | 48 | 23 | 100,000$ / 6 yrs | |||||
![]() | RW | 100.00 | 67 | 39 | 86 | 39 | 80 | 76 | 76 | 39 | 54 | 44 | 40 | 59 | 62 | 64 | 65 | 57 | 47 | 23 | 100,000$ / 6 yrs | |||||
![]() | D | 100.00 | 74 | 41 | 79 | 37 | 77 | 81 | 66 | 36 | 30 | 53 | 45 | 73 | 51 | 70 | 67 | 34 | 54 | 27 | 900,000$ / 1 yrs | |||||
![]() | D | 100.00 | 73 | 38 | 89 | 35 | 78 | 92 | 91 | 36 | 30 | 48 | 41 | 72 | 50 | 70 | 71 | 57 | 53 | 30 | 900,000$ / 1 yrs | |||||
![]() | D | 100.00 | 70 | 39 | 77 | 35 | 76 | 94 | 95 | 35 | 30 | 45 | 44 | 66 | 50 | 69 | 70 | 57 | 52 | 28 | 900,000$ / 2 yrs | |||||
![]() | D | 100.00 | 73 | 34 | 75 | 33 | 81 | 77 | 76 | 32 | 30 | 39 | 40 | 67 | 44 | 68 | 69 | 28 | 50 | 27 | 700,000$ / 2 yrs | |||||
![]() | D | 100.00 | 68 | 39 | 76 | 33 | 78 | 86 | 89 | 33 | 30 | 44 | 40 | 65 | 48 | 67 | 68 | 57 | 50 | 27 | 900,000$ / 1 yrs | |||||
![]() | D | 100.00 | 68 | 39 | 82 | 34 | 73 | 94 | 93 | 35 | 30 | 43 | 42 | 65 | 46 | 64 | 62 | 51 | 50 | 23 | 100,000$ / 6 yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C | 100.00 | 62 | 34 | 89 | 47 | 76 | 92 | 94 | 46 | 61 | 44 | 49 | 59 | 74 | 70 | 71 | 41 | 50 | 27 | 800,000$ / 3 yrs | |||||
![]() | LW | 100.00 | 60 | 36 | 88 | 41 | 75 | 93 | 96 | 41 | 58 | 42 | 45 | 61 | 64 | 69 | 70 | 20 | 48 | 28 | 700,000$ / 1 yrs | |||||
![]() | C | 100.00 | 79 | 41 | 80 | 40 | 85 | 91 | 91 | 39 | 73 | 42 | 42 | 67 | 65 | 66 | 67 | 20 | 48 | 25 | 100,000$ / 6 yrs | |||||
![]() | C | 100.00 | 59 | 33 | 89 | 41 | 76 | 86 | 88 | 40 | 76 | 45 | 41 | 58 | 63 | 63 | 62 | 20 | 47 | 21 | 100,000$ / 6 yrs | |||||
![]() | C | 100.00 | 63 | 43 | 77 | 39 | 78 | 88 | 88 | 38 | 73 | 41 | 41 | 61 | 59 | 66 | 67 | 20 | 47 | 26 | 100,000$ / 6 yrs | |||||
![]() | C | 100.00 | 60 | 36 | 87 | 41 | 75 | 81 | 82 | 40 | 77 | 44 | 42 | 60 | 64 | 65 | 66 | 20 | 47 | 25 | 100,000$ / 6 yrs | |||||
![]() | LW | 100.00 | 60 | 33 | 87 | 41 | 76 | 72 | 72 | 40 | 65 | 40 | 45 | 58 | 62 | 65 | 63 | 20 | 47 | 25 | 900,000$ / 1 yrs | |||||
![]() | C | 100.00 | 61 | 39 | 78 | 39 | 75 | 88 | 90 | 38 | 68 | 40 | 41 | 58 | 59 | 64 | 65 | 20 | 46 | 23 | 100,000$ / 6 yrs | |||||
![]() | C | 100.00 | 61 | 39 | 87 | 37 | 76 | 72 | 73 | 37 | 74 | 41 | 39 | 60 | 58 | 64 | 65 | 20 | 46 | 24 | 100,000$ / 6 yrs | |||||
![]() | LW | 100.00 | 61 | 31 | 76 | 36 | 87 | 82 | 83 | 37 | 53 | 39 | 41 | 59 | 57 | 63 | 63 | 20 | 46 | 22 | 100,000$ / 6 yrs | |||||
![]() | D | 100.00 | 76 | 79 | 75 | 32 | 79 | 70 | 73 | 33 | 30 | 40 | 39 | 66 | 45 | 72 | 70 | 19 | 50 | 32 | 600,000$ / 1 yrs | |||||
![]() | D | 100.00 | 71 | 37 | 79 | 32 | 76 | 72 | 72 | 31 | 30 | 42 | 39 | 68 | 47 | 67 | 68 | 21 | 50 | 27 | 700,000$ / 2 yrs | |||||
![]() | D | 100.00 | 74 | 37 | 78 | 30 | 81 | 69 | 72 | 30 | 30 | 39 | 39 | 67 | 39 | 65 | 64 | 19 | 49 | 24 | 900,000$ / 2 yrs | |||||
TEAM AVERAGE | 100.00 | 68 | 45 | 82 | 40 | 79 | 84 | 83 | 40 | 56 | 44 | 43 | 63 | 59 | 67 | 67 | 40 | 49 |
GOALIE | POS | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | MO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | G | 100.00 | 76 | 82 | 83 | 92 | 74 | 80 | 78 | 77 | 77 | 74 | 74 | 84 | 81 | 64 | 66 | 33 | 900,000$ / 3 yrs | |
![]() | G | 100.00 | 71 | 76 | 77 | 94 | 70 | 74 | 71 | 73 | 74 | 69 | 69 | 73 | 71 | 33 | 62 | 28 | 700,000$ / 1 yrs | |
Scratches | ||||||||||||||||||||
![]() | G | 100.00 | 71 | 83 | 84 | 88 | 69 | 74 | 73 | 73 | 71 | 70 | 70 | 66 | 64 | 34 | 62 | 22 | 100,000$ / 6 yrs | |
TEAM AVERAGE | 100.00 | 73 | 80 | 81 | 91 | 71 | 76 | 74 | 74 | 74 | 71 | 71 | 74 | 72 | 44 | 63 |
COACH | PH | DF | OF | PD | EX | LD | PO | Country | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Derek King | 73 | 75 | 75 | 76 | 87 | 84 | 69 | CAN | 57 | 2 | 200,000$ |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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 |
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Goalies | |||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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 |
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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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