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Full Scoreboard »» |
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Full Scoreboard »» |
Dallas Stars 0-0-0, 0pts · 9th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 100.00 | 65 | 33 | 88 | 75 | 80 | 83 | 79 | 75 | 83 | 74 | 79 | 63 | 77 | 81 | 80 | 0 | 29 | 84 | 33 | 9,850,000$/3yrs | |||
![]() | 19 | C/LW | 100.00 | 62 | 34 | 89 | 77 | 76 | 84 | 90 | 73 | 74 | 74 | 75 | 71 | 74 | 74 | 73 | 0 | 46 | 83 | 28 | 5,500,000$/4yrs | |||
![]() | 21 | RW | 100.00 | 66 | 33 | 90 | 68 | 76 | 86 | 90 | 70 | 59 | 68 | 76 | 64 | 73 | 83 | 82 | 0 | 46 | 81 | 34 | 5,000,000$/1yrs | |||
![]() | 23 | C/LW | 100.00 | 68 | 33 | 70 | 77 | 82 | 84 | 87 | 72 | 84 | 72 | 74 | 59 | 73 | 62 | 59 | 0 | 46 | 81 | 22 | 894,167$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 69 | 37 | 82 | 67 | 83 | 81 | 87 | 65 | 81 | 69 | 68 | 69 | 66 | 72 | 71 | 0 | 79 | 78 | 28 | 3,000,000$/3yrs | |||
![]() | 91 | C | 100.00 | 59 | 33 | 91 | 75 | 79 | 84 | 85 | 68 | 76 | 69 | 71 | 62 | 69 | 59 | 58 | 0 | 38 | 78 | 20 | 950,000$/2yrs | |||
![]() | 20 | LW/RW | 100.00 | 56 | 33 | 93 | 67 | 84 | 81 | 89 | 65 | 59 | 64 | 71 | 58 | 68 | 80 | 79 | 0 | 46 | 77 | 32 | 4,750,000$/2yrs | |||
![]() | 62 | LW/RW | 100.00 | 76 | 34 | 87 | 63 | 86 | 81 | 90 | 65 | 60 | 65 | 69 | 58 | 67 | 80 | 79 | 0 | 46 | 77 | 32 | 4,250,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 39 | 85 | 61 | 69 | 80 | 86 | 63 | 60 | 62 | 66 | 77 | 64 | 73 | 72 | 0 | 46 | 76 | 28 | 1,050,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 64 | 32 | 84 | 67 | 74 | 80 | 82 | 64 | 58 | 64 | 66 | 68 | 65 | 68 | 66 | 0 | 29 | 75 | 25 | 2,100,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 39 | 86 | 57 | 74 | 74 | 83 | 57 | 61 | 57 | 60 | 67 | 58 | 69 | 68 | 0 | 26 | 71 | 26 | 850,000$/2yrs | |||
![]() | 74 | D | 100.00 | 61 | 33 | 96 | 65 | 83 | 91 | 90 | 67 | 30 | 69 | 59 | 85 | 63 | 77 | 77 | 0 | 47 | 81 | 31 | 5,300,000$/7yrs | |||
![]() | 0 | D | 100.00 | 63 | 33 | 91 | 68 | 83 | 94 | 90 | 64 | 30 | 72 | 65 | 73 | 65 | 73 | 72 | 0 | 47 | 81 | 28 | 7,350,000$/8yrs | |||
![]() | 78 | D | 100.00 | 63 | 37 | 75 | 64 | 81 | 89 | 86 | 61 | 30 | 67 | 62 | 72 | 62 | 77 | 74 | 0 | 46 | 78 | 30 | 5,750,000$/5yrs | |||
![]() | 0 | D | 100.00 | 67 | 33 | 92 | 55 | 84 | 87 | 90 | 59 | 30 | 63 | 58 | 70 | 58 | 82 | 81 | 0 | 42 | 75 | 33 | 3,150,000$/3yrs | |||
![]() | 42 | D | 100.00 | 74 | 39 | 80 | 55 | 90 | 85 | 82 | 57 | 30 | 58 | 54 | 80 | 56 | 80 | 78 | 0 | 49 | 74 | 32 | 3,800,000$/6yrs | |||
![]() | 0 | D | 100.00 | 66 | 37 | 87 | 55 | 74 | 81 | 82 | 56 | 30 | 60 | 57 | 69 | 57 | 66 | 65 | 0 | 55 | 72 | 24 | 805,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 98.00 | 72 | 33 | 76 | 79 | 80 | 88 | 90 | 78 | 59 | 78 | 80 | 70 | 79 | 74 | 71 | 0 | 46 | 86 | 28 | 6,500,000$/5yrs | |||
![]() | 0 | C/RW | 100.00 | 80 | 42 | 74 | 55 | 77 | 76 | 82 | 55 | 76 | 60 | 54 | 69 | 55 | 66 | 63 | 0 | 19 | 70 | 24 | 1,400,000$/1yrs | |||
TEAM AVERAGE | 99.89 | 67 | 35 | 85 | 66 | 80 | 84 | 86 | 65 | 56 | 67 | 67 | 69 | 66 | 73 | 72 | 0 | 44 | 78 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 36 | 100.00 | 64 | 74 | 71 | 87 | 75 | 74 | 79 | 83 | 83 | 82 | 79 | 73 | 77 | 0 | 52 | 82 | 28 | 2,000,000$/2yrs |
![]() | 0 | 100.00 | 70 | 66 | 68 | 75 | 65 | 58 | 68 | 78 | 65 | 76 | 68 | 63 | 67 | 0 | 29 | 73 | 23 | 925,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 81 | 95 | 84 | 80 | 90 | 82 | 91 | 92 | 92 | 93 | 91 | 76 | 80 | 0 | 26 | 91 | 29 | 5,500,000$/2yrs |
![]() | 0 | 0.00 | 60 | 62 | 66 | 88 | 57 | 57 | 60 | 60 | 60 | 57 | 60 | 83 | 86 | 0 | 40 | 69 | 37 | 10,500,000$/2yrs |
TEAM AVERAGE | 75.00 | 69 | 74 | 72 | 83 | 72 | 68 | 75 | 78 | 75 | 77 | 75 | 74 | 78 | 0 | 37 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Spencer Carbery | 77 | 83 | 82 | 79 | 68 | 86 | 85 | CAN | 43 | 5 | 1,000,000$ |
General Manager | Mathieu Cloutier |
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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 |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 |
# | 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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Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
LTIR Players | 1 |
Stars Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Adrian Kempe ![]() | C/LW/RW | 28 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Alexandre Texier ![]() | C/LW/RW | 25 | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||||
Alexei Kolosov ![]() | G | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Brandon Saad ![]() | LW/RW | 32 | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Brian Dumoulin ![]() | D | 33 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||||
Carey Price ![]() ![]() | G | 37 | 10,500,000$ | 10,500,000$ | 10,500,000$ | UFA | |||||
Damon Severson ![]() | D | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Ilya Sorokin | G | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Jaccob Slavin ![]() | D | 31 | 5,300,000$ | 5,300,000$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | UFA |
Jacob Bernard-Docker ![]() | D | 24 | 805,000$ | 805,000$ | 805,000$ | ||||||
Jared McCann ![]() | C/LW | 28 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Kaapo Kahkonen | G | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Kyle Palmieri ![]() | RW | 34 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Leo Carlsson ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Logan O'Connor ![]() | LW/RW | 28 | 1,050,000$ | 1,050,000$ | UFA | ||||||
Mason McTavish ![]() | C/LW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Nicolas Roy ![]() | C/RW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Nino Niederreiter ![]() | LW/RW | 32 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Noah Gregor ![]() | C/LW | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
Noah Hanifin ![]() | D | 28 | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ |
Scott Mayfield ![]() | D | 32 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | |
Ty Dellandrea ![]() | C/RW | 24 | 1,400,000$ | 1,400,000$ | RFA | ||||||
Tyler Seguin ![]() | C/RW | 33 | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Alexander Kisakov ![]() | LW | 22 | 859,167$ | 859,167$ | RFA | ||||||
Andre Lee ![]() | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Arvid Holm ![]() | G | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Austin Rueschhoff ![]() | RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Brandon Fortunato ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Brandon Gignac ![]() | C | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Calle Odelius ![]() | D | 20 | 0$ | RFA | |||||||
Cam Dineen ![]() | D | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Cameron Hughes ![]() | C/LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Colt Conrad ![]() | C | 28 | 0$ | UFA | |||||||
Domenick Fensore ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Dyllan Gill ![]() | D | 20 | 0$ | RFA | |||||||
Filip Cederqvist ![]() | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Filip Johansson ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Fraser Minten ![]() | C | 20 | 0$ | RFA | |||||||
Hunter Jones ![]() | G | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Hunter McDonald ![]() | D | 22 | 775,000$ | 775,000$ | RFA | ||||||
Isaac Belliveau ![]() | D | 22 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Jackson Edward ![]() | D | 21 | 0$ | RFA | |||||||
Jermaine Loewen ![]() | RW | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Joona Koppanen ![]() | C | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Justin Sourdif ![]() | C/RW | 23 | 847,500$ | 847,500$ | RFA | ||||||
Karl Henriksson ![]() | C | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Lian Bichsel ![]() | D | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Markus Nurmi ![]() | LW/RW | 26 | 0$ | ![]() | |||||||
Michael Carcone ![]() | C/LW | 28 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Mitchell Balmas ![]() | C | 27 | 0$ | ![]() | |||||||
Mitchell Stephens ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Olivier Nadeau ![]() | RW | 22 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Ryan Mast ![]() | D | 22 | 0$ | RFA | |||||||
Scott Morrow ![]() | D | 22 | 916,667$ | 916,667$ | 916,667$ | RFA | |||||
Scott Reedy ![]() | C | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Shane Wright ![]() | C | 21 | 950,000$ | 950,000$ | RFA | ||||||
Simon Lundmark ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Thomas Milic ![]() | G | 22 | 0$ | RFA | |||||||
Travis Dermott ![]() | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
Zachary Emond ![]() | G | 24 | 0$ | ![]() | |||||||
Zachary Sawchenko ![]() | G | 27 | 775,000$ | 775,000$ | ![]() |
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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 |
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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 | |
---|---|---|
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 | |
---|---|---|
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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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,674,167$ | 0$ | 0$ | 7,325,833$ |
Arena | Goal Horn | About us | |
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![]() | Name | American Airlines Center | |
City | Dallas | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,674,167$ | 80,674,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 80,674,167$ | 62,005,011$ | 62,005,011$ |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Artyom Galimov | 2020 | 186 | |||
Daniil Orlov | 2022 | 127 | |||
Danil Savunov | 2019 | 191 | |||
Eric Ciccolini | 2019 | 214 | |||
Hugo Styf | 2020 | 142 | |||
Jacob Olofsson | 5.5 - 7.5 | ||||
Kirill Kirsanov | 2021 | 56 | |||
Kyle Aucoin | |||||
Linus Sjodin | 2022 | 224 | |||
Luke Ellinas | 2024 | 119 | |||
Maksim Beryozkin | 2020 | 104 | |||
Miroslav Holinka | 2024 | 176 | |||
Noah Ellis | 2020 | 173 | |||
Owen Beckner | 2023 | 217 | |||
Prohkor Poltapov | 2021 | 38 | |||
Samuel Jonsson | 2022 | 172 | |||
Semyon Vyazovoi | 2021 | 173 | |||
Timur Mukhanov | 2023 | 125 | |||
Tom Willander | 2023 | 20 |