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Los Angeles Kings 0-0-0, 0pts · 7th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 86 | C/LW | 100.00 | 54 | 32 | 91 | 88 | 68 | 91 | 84 | 79 | 74 | 85 | 82 | 62 | 81 | 66 | 65 | 0 | 88 | 88 | 24 | 8,000,000$/5yrs | |||
![]() | 11 | LW/RW | 100.00 | 70 | 35 | 74 | 80 | 67 | 90 | 90 | 76 | 60 | 79 | 78 | 70 | 77 | 73 | 70 | 0 | 93 | 86 | 28 | 8,750,000$/8yrs | |||
![]() | 14 | C | 100.00 | 80 | 33 | 77 | 75 | 83 | 90 | 84 | 75 | 89 | 73 | 78 | 80 | 76 | 73 | 71 | 0 | 93 | 85 | 28 | 5,250,000$/4yrs | |||
![]() | 13 | C/LW/RW | 100.00 | 72 | 32 | 93 | 77 | 67 | 88 | 89 | 76 | 72 | 75 | 81 | 75 | 79 | 64 | 64 | 0 | 93 | 85 | 23 | 6,250,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 71 | 35 | 68 | 73 | 66 | 87 | 89 | 72 | 60 | 74 | 77 | 70 | 74 | 88 | 93 | 0 | 84 | 84 | 37 | 3,850,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 33 | 79 | 76 | 76 | 86 | 90 | 73 | 59 | 74 | 80 | 56 | 76 | 73 | 71 | 0 | 92 | 83 | 28 | 8,500,000$/7yrs | |||
![]() | 0 | LW | 100.00 | 81 | 37 | 79 | 71 | 94 | 85 | 90 | 68 | 59 | 72 | 70 | 63 | 69 | 60 | 58 | 0 | 93 | 79 | 21 | 7,600,000$/8yrs | |||
![]() | 15 | C/LW | 100.00 | 69 | 32 | 82 | 70 | 74 | 82 | 89 | 66 | 85 | 69 | 67 | 73 | 66 | 64 | 63 | 0 | 93 | 78 | 23 | 5,000,000$/5yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 33 | 88 | 63 | 76 | 81 | 90 | 64 | 61 | 66 | 67 | 72 | 65 | 80 | 79 | 0 | 83 | 77 | 32 | 2,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 41 | 84 | 56 | 74 | 79 | 88 | 59 | 58 | 61 | 62 | 86 | 61 | 81 | 80 | 0 | 93 | 76 | 33 | ||||
![]() | 0 | C/LW | 100.00 | 77 | 39 | 71 | 63 | 72 | 82 | 88 | 65 | 77 | 65 | 66 | 71 | 65 | 63 | 60 | 0 | 93 | 76 | 22 | ||||
![]() | 0 | RW | 100.00 | 63 | 50 | 73 | 58 | 84 | 77 | 86 | 63 | 60 | 61 | 70 | 54 | 67 | 93 | 90 | 0 | 76 | 75 | 40 | ||||
![]() | 0 | D | 100.00 | 63 | 35 | 84 | 76 | 79 | 97 | 86 | 71 | 30 | 83 | 72 | 71 | 72 | 85 | 97 | 0 | 93 | 89 | 35 | 9,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 65 | 37 | 89 | 72 | 86 | 94 | 89 | 66 | 30 | 79 | 61 | 65 | 63 | 78 | 76 | 0 | 91 | 83 | 31 | 7,500,000$/5yrs | |||
![]() | 5 | D | 100.00 | 75 | 36 | 67 | 69 | 87 | 93 | 82 | 67 | 30 | 73 | 58 | 77 | 63 | 74 | 71 | 0 | 94 | 82 | 29 | 6,000,000$/6yrs | |||
![]() | 0 | D | 100.00 | 71 | 35 | 81 | 65 | 87 | 92 | 87 | 65 | 30 | 73 | 65 | 75 | 65 | 84 | 82 | 0 | 80 | 82 | 35 | ||||
![]() | 0 | D | 100.00 | 69 | 36 | 85 | 56 | 99 | 88 | 90 | 62 | 30 | 61 | 55 | 85 | 59 | 80 | 78 | 0 | 93 | 77 | 32 | ||||
![]() | 0 | D | 100.00 | 70 | 35 | 81 | 55 | 79 | 82 | 82 | 54 | 30 | 58 | 54 | 71 | 54 | 83 | 81 | 0 | 93 | 73 | 34 | ||||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 74 | 37 | 86 | 56 | 86 | 74 | 85 | 55 | 81 | 57 | 59 | 75 | 57 | 65 | 63 | 0 | 74 | 71 | 24 | ||||
TEAM AVERAGE | 100.00 | 70 | 36 | 81 | 68 | 79 | 86 | 87 | 67 | 57 | 70 | 69 | 71 | 68 | 75 | 74 | 0 | 89 | 80 |
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 ) |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 87 | 95 | 84 | 76 | 90 | 79 | 91 | 95 | 89 | 95 | 91 | 75 | 79 | 0 | 89 | 91 | 29 | 11,500,000$/8yrs |
![]() | 0 | 100.00 | 78 | 77 | 73 | 84 | 80 | 72 | 81 | 87 | 79 | 86 | 81 | 87 | 91 | 0 | 90 | 85 | 37 | |
Scratches | ||||||||||||||||||||
![]() | 40 | 100.00 | 60 | 63 | 66 | 84 | 54 | 61 | 60 | 66 | 61 | 65 | 60 | 65 | 68 | 0 | 31 | 69 | 24 | 950,000$/1yrs |
TEAM AVERAGE | 100.00 | 75 | 78 | 74 | 81 | 75 | 71 | 77 | 83 | 76 | 82 | 77 | 76 | 79 | 0 | 70 | 82 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 73 | 73 | 83 | 71 | 85 | 84 | 75 | CAN | 56 | 4 | 1,000,000$ |
General Manager | Yannick Vézina-Roy |
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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 | 14 |
LTIR Players | 0 |
Kings Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad ![]() | D | 29 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |
Anton Lundell ![]() | C/LW | 23 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||
Brad Marchand ![]() | LW | 37 | 3,850,000$ | 3,850,000$ | 3,850,000$ | UFA | |||||
Brandon Tanev ![]() | LW/RW | 33 | 0$ | UFA | |||||||
Corey Perry ![]() | RW | 40 | 0$ | UFA | |||||||
Igor Shesterkin | G | 29 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ |
Jack Hughes ![]() | C/LW | 24 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
James Reimer | G | 37 | 0$ | UFA | |||||||
Jamie Oleksiak ![]() | D | 32 | 0$ | UFA | |||||||
Joel Eriksson Ek ![]() | C | 28 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||
John Beecher ![]() | C | 24 | 0$ | RFA | |||||||
Jordan Martinook ![]() | C/LW/RW | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Juraj Slafkovsky ![]() | LW | 21 | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ |
Kevin Fiala ![]() | C/LW/RW | 28 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA |
Mads Sogaard ![]() | G | 24 | 950,000$ | 950,000$ | RFA | ||||||
Mattias Ekholm ![]() | D | 35 | 0$ | UFA | |||||||
Morgan Rielly ![]() | D | 31 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||
Ridly Greig ![]() | C/LW | 22 | 0$ | RFA | |||||||
Roman Josi ![]() | D | 35 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Seth Jarvis ![]() | C/LW/RW | 23 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | |||||
Travis Hamonic ![]() | D | 34 | 0$ | UFA | |||||||
Travis Konecny ![]() | LW/RW | 28 | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
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Alex Jefferies ![]() | LW | 23 | 0$ | RFA | |||||||
Alexei Melnichuk ![]() | G | 26 | 0$ | ![]() | |||||||
Bear Hughes ![]() | C | 24 | 0$ | RFA | |||||||
Brett Brochu ![]() | G | 22 | 0$ | RFA | |||||||
Brinson Pasichnuk ![]() | D | 27 | 0$ | ![]() | |||||||
Emil Heineman ![]() | LW | 23 | 0$ | RFA | |||||||
German Rubtsov ![]() | C | 26 | 0$ | ![]() | |||||||
Jack Dugan ![]() | LW/RW | 27 | 0$ | ![]() | |||||||
Jani Nyman ![]() | LW/RW | 20 | 923,333$ | 923,333$ | RFA | ||||||
Jaret Anderson-Dolan ![]() | C | 25 | 0$ | ![]() | |||||||
Jordan Papirny ![]() | G | 29 | 0$ | UFA | |||||||
Josiah Didier ![]() | D | 32 | 0$ | UFA | |||||||
Kai Schwindt ![]() | LW | 21 | 0$ | RFA | |||||||
Kristian Vesalainen ![]() | LW/RW | 26 | 0$ | ![]() | |||||||
Lukas Rousek ![]() | RW | 26 | 925,000$ | 925,000$ | ![]() | ||||||
MacKenzie MacEachern ![]() | LW/RW | 31 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Mason Primeau ![]() | C | 23 | 0$ | RFA | |||||||
Matej Blumel ![]() | LW | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Matt Kiersted ![]() | D | 27 | 0$ | ![]() | |||||||
Max Jones ![]() | LW | 27 | 0$ | ![]() | |||||||
Michael McNiven ![]() | G | 27 | 0$ | ![]() | |||||||
Nikolai Knyzhov ![]() | D | 27 | 0$ | ![]() | |||||||
Noel Hoefenmayer ![]() | D | 26 | 0$ | ![]() | |||||||
Otto Koivula ![]() | LW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Philip Broberg ![]() | D | 23 | 900,000$ | 900,000$ | RFA | ||||||
Reilly Walsh ![]() | D | 26 | 0$ | ![]() | |||||||
Roni Hirvonen ![]() | C | 23 | 0$ | RFA | |||||||
Simon Kubicek ![]() | D | 23 | 0$ | RFA | |||||||
Tanner Pearson ![]() | LW | 32 | 0$ | UFA | |||||||
Trevor Janicke ![]() | RW | 24 | 0$ | RFA | |||||||
Tyler Benson ![]() | LW | 27 | 0$ | ![]() |
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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 | |
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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 | |
---|---|---|
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 |
90,150,000$ | 0$ | 0$ | -2,150,000$ |
Arena | Goal Horn | About us | |
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![]() | 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 | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
90,150,000$ | 90,150,000$ | 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$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 90,150,000$ | 77,022,374$ | 77,022,374$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
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 |
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Cameron Lund | 2022 | 66 | |||
Chase Wutzke | 2024 | 157 | |||
Connor Hvidston | 2022 | 184 | |||
Frederik Nissen | 2019 | 140 | |||
Jack Phelan | 2023 | 149 | |||
Jake Lee | 2019 | 118 | |||
Jakub Vondras | 2022 | 190 | |||
Linus Eriksson | 2024 | 63 | |||
Mans Forsfjall | 2020 | 153 | |||
Redmond Savage | 2021 | 107 | |||
Rieger Lorenz | 2022 | 53 | |||
Stanislav Yarovoy | 2023 | 136 | |||
Timofey Spitserov | |||||
Trent Swick | 2024 | 198 | |||
Veeti Miettinen | 2020 | 83 | |||
Zion Nybeck | 2020 | 33 |