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Los Angeles Kings Team Overall:71 0-0-0, 0pts |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C | 5' 11" | 200 | 35 | 73 | 40 | 82 | 78 | 82 | 84 | 91 | 81 | 85 | 90 | 79 | 67 | 75 | 93 | 98 | 0 | 40 | 83 | 100.00 | 8,700,000$/2yrs | |
0 | ![]() | RW | 5' 11" | 181 | 29 | 71 | 40 | 81 | 82 | 72 | 84 | 84 | 87 | 54 | 97 | 76 | 65 | 58 | 75 | 65 | 0 | 40 | 82 | 100.00 | 9,500,000$/3yrs | |
0 | ![]() | C | 5' 8" | 176 | 33 | 56 | 33 | 94 | 78 | 63 | 89 | 91 | 76 | 63 | 74 | 77 | 79 | 78 | 80 | 78 | 0 | 40 | 78 | 100.00 | 5,875,000$/3yrs | |
0 | ![]() | C | 6' 4" | 220 | 34 | 80 | 40 | 82 | 70 | 85 | 74 | 93 | 64 | 87 | 74 | 69 | 79 | 54 | 93 | 87 | 0 | 40 | 76 | 100.00 | 2,900,000$/3yrs | |
0 | ![]() | C | 6' 0" | 185 | 31 | 74 | 40 | 81 | 85 | 73 | 77 | 92 | 70 | 75 | 79 | 72 | 66 | 62 | 81 | 60 | 0 | 40 | 76 | 100.00 | 4,500,000$/2yrs | |
0 | ![]() | RW | 6' 0" | 197 | 28 | 74 | 67 | 64 | 74 | 79 | 74 | 84 | 69 | 66 | 80 | 72 | 70 | 54 | 71 | 59 | 0 | 40 | 75 | 100.00 | 1,900,000$/1yrs | |
0 | ![]() | LW | 5' 10" | 173 | 31 | 72 | 40 | 83 | 72 | 69 | 71 | 91 | 68 | 59 | 78 | 72 | 73 | 66 | 80 | 60 | 0 | 40 | 75 | 100.00 | 4,500,000$/1yrs | |
0 | ![]() | C | 6' 3" | 206 | 23 | 70 | 40 | 85 | 70 | 79 | 71 | 76 | 66 | 76 | 77 | 68 | 74 | 85 | 59 | 58 | 0 | 40 | 73 | 100.00 | 874,125$/3yrs | |
0 | ![]() | C | 6' 2" | 197 | 27 | 75 | 40 | 91 | 69 | 76 | 72 | 94 | 62 | 81 | 75 | 62 | 80 | 54 | 67 | 59 | 0 | 40 | 72 | 100.00 | 1,500,000$/3yrs | |
0 | ![]() | C/RW | 6' 1" | 204 | 26 | 74 | 40 | 88 | 72 | 81 | 64 | 81 | 64 | 67 | 72 | 71 | 71 | 54 | 64 | 59 | 0 | 40 | 72 | 100.00 | 762,500$/3yrs | |
0 | ![]() | C | 6' 2" | 212 | 22 | 86 | 65 | 88 | 69 | 84 | 66 | 72 | 62 | 57 | 70 | 72 | 65 | 63 | 56 | 58 | 0 | 40 | 72 | 100.00 | 775,000$/3yrs | |
0 | ![]() | C | 5' 11" | 185 | 26 | 83 | 40 | 81 | 68 | 74 | 74 | 69 | 66 | 56 | 75 | 67 | 69 | 55 | 65 | 59 | 0 | 40 | 72 | 100.00 | 2,437,500$/2yrs | |
0 | ![]() | LW | 6' 2" | 208 | 25 | 94 | 83 | 79 | 68 | 82 | 69 | 92 | 60 | 56 | 72 | 62 | 73 | 54 | 60 | 58 | 0 | 40 | 71 | 100.00 | 713,333$/1yrs | |
0 | ![]() | C | 6' 2" | 203 | 24 | 77 | 65 | 72 | 67 | 79 | 66 | 78 | 60 | 76 | 71 | 64 | 73 | 54 | 63 | 59 | 0 | 40 | 70 | 100.00 | 863,333$/1yrs | |
0 | ![]() | C | 6' 2" | 212 | 22 | 71 | 40 | 90 | 64 | 84 | 59 | 65 | 56 | 73 | 71 | 56 | 74 | 54 | 56 | 58 | 0 | 40 | 67 | 100.00 | 925,000$/2yrs | |
0 | ![]() | LW | 5' 9" | 187 | 28 | 72 | 70 | 88 | 66 | 78 | 60 | 72 | 58 | 78 | 72 | 59 | 69 | 54 | 58 | 58 | 0 | 40 | 67 | 100.00 | 700,000$/1yrs | |
0 | ![]() | C | 5' 11" | 186 | 25 | 67 | 45 | 76 | 62 | 71 | 64 | 68 | 60 | 65 | 69 | 62 | 61 | 66 | 59 | 58 | 0 | 40 | 66 | 100.00 | 919,623$/2yrs | |
0 | ![]() | C | 6' 0" | 212 | 29 | 56 | 53 | 69 | 63 | 72 | 62 | 61 | 60 | 61 | 62 | 61 | 64 | 58 | 66 | 60 | 0 | 40 | 64 | 100.00 | 737,500$/2yrs | |
0 | ![]() | LW | 6' 0" | 185 | 23 | 55 | 60 | 66 | 62 | 64 | 67 | 65 | 62 | 55 | 60 | 63 | 58 | 57 | 58 | 55 | 0 | 40 | 63 | 100.00 | 756,667$/1yrs | |
0 | ![]() | C | 5' 11" | 170 | 22 | 54 | 61 | 67 | 62 | 57 | 68 | 65 | 59 | 70 | 56 | 62 | 58 | 57 | 59 | 55 | 0 | 40 | 62 | 100.00 | 925,000$/2yrs | |
0 | ![]() | LW | 5' 10" | 177 | 22 | 55 | 54 | 66 | 60 | 59 | 67 | 65 | 59 | 70 | 57 | 58 | 63 | 54 | 57 | 54 | 0 | 40 | 61 | 100.00 | 880,000$/1yrs | |
0 | ![]() | C | 6' 3" | 203 | 25 | 55 | 55 | 65 | 58 | 67 | 63 | 62 | 56 | 70 | 56 | 56 | 59 | 54 | 62 | 57 | 0 | 40 | 60 | 100.00 | 917,831$/1yrs | |
0 | ![]() | C | 5' 11" | 201 | 23 | 54 | 54 | 68 | 57 | 64 | 65 | 63 | 56 | 70 | 56 | 55 | 61 | 54 | 59 | 55 | 0 | 40 | 60 | 100.00 | 700,000$/1yrs | |
0 | ![]() | C | 5' 11" | 185 | 21 | 55 | 52 | 69 | 57 | 62 | 61 | 59 | 56 | 54 | 56 | 56 | 61 | 54 | 55 | 54 | 0 | 40 | 59 | 100.00 | 2,475,000$/1yrs | |
0 | ![]() | D | 6' 3" | 210 | 28 | 73 | 40 | 79 | 75 | 81 | 88 | 92 | 65 | 40 | 75 | 69 | 86 | 54 | 71 | 59 | 0 | 40 | 78 | 100.00 | 5,250,000$/2yrs | |
0 | ![]() | D | 6' 0" | 195 | 29 | 73 | 40 | 74 | 68 | 78 | 82 | 90 | 63 | 40 | 78 | 61 | 93 | 54 | 70 | 59 | 0 | 40 | 76 | 100.00 | 2,300,000$/1yrs | |
0 | ![]() | D | 6' 3" | 227 | 33 | 75 | 40 | 80 | 70 | 90 | 84 | 80 | 77 | 30 | 68 | 58 | 82 | 54 | 88 | 82 | 0 | 40 | 76 | 100.00 | 5,625,000$/1yrs | |
0 | ![]() | D | 6' 4" | 194 | 22 | 70 | 40 | 86 | 82 | 72 | 84 | 91 | 69 | 40 | 81 | 65 | 74 | 54 | 62 | 58 | 0 | 40 | 76 | 100.00 | 1,431,667$/2yrs | |
0 | ![]() | D | 6' 5" | 220 | 27 | 73 | 40 | 83 | 74 | 84 | 83 | 91 | 62 | 40 | 75 | 63 | 86 | 54 | 64 | 59 | 0 | 40 | 76 | 100.00 | 3,166,667$/3yrs | |
0 | ![]() | D | 6' 2" | 210 | 28 | 70 | 40 | 85 | 68 | 83 | 84 | 93 | 59 | 40 | 73 | 58 | 88 | 54 | 77 | 60 | 0 | 40 | 74 | 100.00 | 3,250,000$/3yrs | |
0 | ![]() | D | 6' 3" | 177 | 26 | 72 | 66 | 77 | 75 | 64 | 85 | 89 | 63 | 40 | 79 | 58 | 85 | 54 | 66 | 59 | 0 | 40 | 74 | 100.00 | 4,025,175$/3yrs | |
0 | ![]() | D | 6' 5" | 224 | 23 | 68 | 71 | 71 | 68 | 86 | 71 | 76 | 57 | 40 | 70 | 59 | 83 | 54 | 59 | 58 | 0 | 40 | 70 | 100.00 | 1,425,000$/1yrs | |
0 | ![]() | D | 6' 2" | 202 | 24 | 66 | 43 | 82 | 72 | 76 | 68 | 60 | 63 | 40 | 77 | 58 | 74 | 54 | 57 | 57 | 0 | 40 | 70 | 100.00 | 850,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 2" | 194 | 27 | 79 | 86 | 86 | 77 | 87 | 77 | 65 | 57 | 0 | 40 | 80 | 100.00 | 3,500,000$/3yrs | |||||||
0 | ![]() | 6' 6" | 243 | 28 | 62 | 64 | 65 | 63 | 80 | 81 | 59 | 55 | 0 | 40 | 72 | 100.00 | 950,000$/3yrs | |||||||
0 | ![]() | 6' 7" | 196 | 21 | 62 | 63 | 62 | 65 | 71 | 67 | 56 | 54 | 0 | 40 | 67 | 100.00 | 925,000$/2yrs | |||||||
0 | ![]() | 6' 2" | 199 | 23 | 62 | 65 | 65 | 60 | 66 | 62 | 58 | 54 | 0 | 40 | 64 | 100.00 | 966,667$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ken Hitchcock | 94 | 64 | 72 | 63 | 99 | 97 | 82 | CAN | 65 | 2 | 4,700,000$ |
General Manager | Jean-Claude Lavoie |
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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 |
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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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 91,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 37 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 | 2029-2030 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aarne Talvitie ![]() | C | 23 | 700,000$ | 700,000$ | |||||||
Alex Turcotte ![]() | C | 21 | 2,475,000$ | 2,475,000$ | |||||||
Anthony Stolarz ![]() | C | 28 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Arnaud Durandeau ![]() | LW | 23 | 756,667$ | 756,667$ | |||||||
Brady Skjei ![]() | D | 28 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
Brett Howden ![]() | C | 24 | 863,333$ | 863,333$ | |||||||
Cal Foote ![]() | D | 23 | 1,425,000$ | 1,425,000$ | |||||||
Cam Atkinson ![]() | C | 33 | 5,875,000$ | 5,875,000$ | 5,875,000$ | 5,875,000$ | |||||
Cayden Primeau ![]() | D | 23 | 966,667$ | 966,667$ | |||||||
Chase Pearson ![]() | C | 25 | 917,831$ | 917,831$ | |||||||
Cody Ceci ![]() | D | 28 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | |||||
Cody Glass ![]() | C | 23 | 874,125$ | 874,125$ | 874,125$ | 874,125$ | |||||
Conor Timmins ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
David Gustafsson ![]() | C | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
David Kampf ![]() | C | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Dylan Demelo ![]() | D | 29 | 3,000,000$ | 3,000,000$ | |||||||
Gabriel Fortier ![]() | LW | 22 | 880,000$ | 880,000$ | |||||||
Jake Muzzin ![]() | D | 33 | 5,625,000$ | 5,625,000$ | |||||||
Jonny Brodzinski ![]() | C | 29 | 750,000$ | 750,000$ | 750,000$ | ||||||
Jordan Staal ![]() | C | 34 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | |||||
Mads Sogaard ![]() | C/LW | 21 | 925,000$ | 925,000$ | 925,000$ | ||||||
Marcus Pettersson ![]() | D | 26 | 4,025,175$ | 4,025,175$ | 4,025,175$ | 4,025,175$ | |||||
Michael Amadio ![]() | C/RW | 26 | 762,500$ | 762,500$ | 762,500$ | 762,500$ | |||||
Nathan Walker ![]() | LW | 28 | 700,000$ | 700,000$ | |||||||
Nazem Kadri ![]() | C | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Nikita Kucherov ![]() | RW | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |||||
Noah Dobson ![]() | D | 22 | 1,431,667$ | 1,431,667$ | 1,431,667$ | ||||||
Paul Cotter ![]() | C | 22 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | |||||
Rem Pitlick ![]() | C | 25 | 917,831$ | 917,831$ | 917,831$ | ||||||
Robby Fabbri ![]() | C | 26 | 2,950,000$ | 2,950,000$ | 2,950,000$ | ||||||
Ryan Graves ![]() | D | 27 | 3,166,667$ | 3,166,667$ | 3,166,667$ | 3,166,667$ | |||||
Ryan Hartman ![]() | RW | 28 | 1,900,000$ | 1,900,000$ | |||||||
Sidney Crosby ![]() | C | 35 | 8,700,000$ | 8,700,000$ | 8,700,000$ | ||||||
Tanner Jeannot ![]() | LW | 25 | 713,333$ | 713,333$ | |||||||
Tomas Tatar ![]() | LW | 31 | 4,500,000$ | 4,500,000$ | |||||||
Tristan Jarry ![]() | RW | 27 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Tyler Madden ![]() | C | 22 | 925,000$ | 925,000$ | 925,000$ |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
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 |
---|---|
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 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
90,625,796$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Staples Center | |
City | Los Angeles | ||
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 |
90,625,796$ | 89,402,588$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 10,000,000$ | 10,000,000$ |
FOWARD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
2025 | |||||||
2026 |
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 |
---|---|---|---|---|---|
Adam Ginning | |||||
Aidan Thompson | |||||
Artyom Duda | |||||
Benjamin Roger | |||||
Calle Odelius | |||||
Dylan Peterson | |||||
Evan Barratt | |||||
Guillaume Richard | |||||
Jacob Leguerrier | |||||
Jayden Struble | |||||
Jordan Gustafson | |||||
Josh Bloom | |||||
Kim Nousiainen | |||||
Noah Laba | |||||
Ryder Rolston | |||||
Topi Ronni | |||||
Vladislav Firstov |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 |
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 |
---|---|---|---|---|---|
Adam Ginning | |||||
Aidan Thompson | |||||
Artyom Duda | |||||
Benjamin Roger | |||||
Calle Odelius | |||||
Dylan Peterson | |||||
Evan Barratt | |||||
Guillaume Richard | |||||
Jacob Leguerrier | |||||
Jayden Struble | |||||
Jordan Gustafson | |||||
Josh Bloom | |||||
Kim Nousiainen | |||||
Noah Laba | |||||
Ryder Rolston | |||||
Topi Ronni | |||||
Vladislav Firstov |