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Buffalo Sabres 0-0-0, 0pts · 11th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
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![]() | 0 | C/LW | 100.00 | 62 | 38 | 82 | 73 | 69 | 90 | 87 | 74 | 64 | 72 | 67 | 66 | 73 | 62 | 65 | 87 | 75 | 0 | 21 | 894,167$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 39 | 88 | 79 | 78 | 86 | 80 | 72 | 76 | 70 | 69 | 65 | 77 | 73 | 72 | 48 | 75 | 0 | 29 | 4,250,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 36 | 83 | 73 | 81 | 83 | 90 | 72 | 81 | 70 | 68 | 64 | 73 | 66 | 70 | 86 | 75 | 0 | 24 | 5,000,000$/1yrs | |||
![]() | 9 | LW | 100.00 | 64 | 36 | 88 | 78 | 77 | 86 | 72 | 76 | 61 | 74 | 73 | 66 | 75 | 83 | 76 | 55 | 75 | 0 | 32 | 12,000,000$/4yrs | |||
![]() | 20 | LW/RW | 100.00 | 59 | 36 | 94 | 74 | 80 | 87 | 89 | 73 | 58 | 69 | 75 | 68 | 72 | 83 | 76 | 46 | 75 | 0 | 31 | 6,000,000$/1yrs | |||
![]() | 53 | C | 100.00 | 67 | 39 | 89 | 78 | 80 | 91 | 90 | 81 | 86 | 77 | 83 | 78 | 80 | 77 | 79 | 70 | 75 | 0 | 29 | 8,500,000$/7yrs | |||
![]() | 3 | D | 100.00 | 68 | 37 | 91 | 75 | 86 | 94 | 86 | 73 | 30 | 84 | 68 | 94 | 56 | 87 | 77 | 47 | 75 | 0 | 34 | 9,800,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 81 | 83 | 55 | 65 | 94 | 74 | 80 | 62 | 57 | 60 | 61 | 80 | 58 | 76 | 73 | 51 | 75 | 0 | 32 | ||||
![]() | 57 | LW/RW | 100.00 | 72 | 35 | 78 | 71 | 73 | 87 | 89 | 74 | 57 | 76 | 73 | 65 | 74 | 89 | 80 | 39 | 75 | 0 | 36 | 4,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 88 | 85 | 75 | 64 | 86 | 76 | 86 | 62 | 57 | 60 | 59 | 61 | 58 | 87 | 76 | 28 | 75 | 0 | 35 | ||||
![]() | 10 | C/LW | 100.00 | 63 | 40 | 86 | 66 | 85 | 83 | 82 | 65 | 82 | 69 | 67 | 85 | 66 | 76 | 74 | 35 | 75 | 0 | 34 | ||||
![]() | 0 | RW | 100.00 | 78 | 62 | 80 | 66 | 76 | 79 | 83 | 64 | 57 | 63 | 60 | 62 | 61 | 69 | 70 | 60 | 75 | 0 | 28 | 1,500,000$/1yrs | |||
![]() | 0 | D | 0.00 | 64 | 36 | 87 | 69 | 69 | 82 | 45 | 67 | 30 | 72 | 64 | 71 | 56 | 78 | 72 | 40 | 75 | 0 | 33 | 6,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 38 | 88 | 68 | 75 | 85 | 88 | 64 | 30 | 70 | 66 | 70 | 55 | 68 | 71 | 36 | 75 | 0 | 28 | 3,000,000$/3yrs | |||
![]() | 46 | D | 100.00 | 77 | 39 | 79 | 67 | 80 | 89 | 87 | 62 | 30 | 70 | 53 | 89 | 48 | 72 | 71 | 35 | 75 | 0 | 30 | 3,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 34 | 91 | 74 | 69 | 90 | 89 | 76 | 30 | 82 | 72 | 64 | 58 | 77 | 73 | 50 | 75 | 0 | 31 | 3,200,000$/3yrs | |||
![]() | 0 | D | 100.00 | 80 | 75 | 66 | 68 | 99 | 91 | 89 | 67 | 30 | 69 | 70 | 78 | 54 | 75 | 71 | 68 | 75 | 0 | 29 | 5,000,000$/6yrs | |||
![]() | 0 | D | 100.00 | 75 | 38 | 84 | 67 | 77 | 87 | 83 | 65 | 30 | 71 | 64 | 66 | 54 | 76 | 74 | 30 | 75 | 0 | 31 | 1,500,000$/2yrs | |||
TEAM AVERAGE | 94.44 | 70 | 46 | 82 | 71 | 80 | 86 | 83 | 69 | 53 | 71 | 67 | 72 | 64 | 76 | 73 | 51 | 75 | 0 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 2 | 100.00 | 80 | 85 | 81 | 80 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 65 | 73 | 56 | 75 | 0 | 24 | 962,500$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 90 | 88 | 83 | 78 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 80 | 86 | 53 | 75 | 0 | 32 | 4,250,000$/2yrs |
TEAM AVERAGE | 100.00 | 85 | 87 | 82 | 79 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 73 | 80 | 55 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Lindy Ruff | 80 | 84 | 89 | 84 | 96 | 89 | 48 | CAN | 64 | 2 | 3,500,000$ |
General Manager | Tristan Goncalves-Paulin |
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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 | 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 |
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Projected Total Cap Hit | 78,556,752$ |
Projected Cap Space | 9,443,248$ |
Retains And Buyout Cap Hit | 2,250,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 18 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Pietrangelo ![]() | D | 34 | 9,800,000$ | 9,800,000$ | 9,800,000$ | 9,800,000$ | UFA | ||||
Andreas Athanasiou | C/LW/RW/G | 29 | 4,250,000$ | 4,250,000$ | |||||||
Arvid Soderblom | C/LW/G | 24 | 962,500$ | 962,500$ | |||||||
Austin Watson | LW/RW/G | 32 | 0$ | UFA | |||||||
Bo Horvat ![]() | C | 29 | 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 |
Brandon Saad ![]() | LW/RW | 31 | 6,000,000$ | 6,000,000$ | |||||||
Colin Miller | D | 31 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
David Perron ![]() | LW/RW | 36 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Derek Grant ![]() | C/LW | 34 | 0$ | UFA | |||||||
Ilya Lyubushkin | D | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
Jalen Chatfield ![]() | D | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Jesperi Kotkaniemi | C/LW | 24 | 5,000,000$ | 5,000,000$ | RFA | ||||||
Matt Martin | LW/RW | 35 | 0$ | UFA | |||||||
Nicolas Aube-Kubel | RW | 28 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Nikita Zadorov | D | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |
Petr Mrazek | D/G | 32 | 4,250,000$ | 4,250,000$ | 4,250,000$ | RFA | |||||
Ryan Ellis ![]() | D/G | 33 | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |||||
Shayne Gostisbehere | D | 31 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||
Taylor Hall ![]() | LW | 32 | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | UFA | |||
William Eklund ![]() | C/LW/G | 21 | 894,167$ | 894,167$ |
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 |
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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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
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 | 0 |
Without Puck | 0 |
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 | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 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 | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,606,667$ | 2,250,000$ | 78,556,752$ | 9,443,248$ |
Arena | Goal Horn | About us | |
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![]() | Name | KeyBank Center | |
City | Buffalo | ||
Capacity | 18690 | ||
Season Ticket Holders | 45% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1690 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 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$ | 18690 | 95 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,606,667$ | 78,606,667$ | 0$ | 2,250,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 397,431$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 427,639$ | 82,106,688$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
83,885,283$ | 78,556,752$ | 160,785,517$ | 76,900,234$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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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 |
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Alex Ciernik | 2023 | 64 | |||
Anton Johannesson | 2020 | 70 | |||
Chase Wutzke | 2024 | 179 | |||
Emil Pieniniemi | 2023 | 91 | ELC 2024-25 | Link | |
Giovanni Digiulian | 2024 | 156 | |||
Ilya Safonov | 2021 | 162 | |||
Isaac Howard | 2022 | 14 | |||
Jesse Pulkkinen | 2024 | 67 | |||
Konsta Helenius | 2024 | 15 | |||
Lenni Hameenaho | 2023 | 48 | |||
Marcus Almquist | 2021 | 195 | |||
Michael BrandseggNygard | 2024 | 17 | ELC 2024-25 | Link | |
Michael Deangelo | 2023 | 175 | |||
Miguel Marques | 2024 | 70 | |||
Miguel Tourigny | 2021 | 196 | |||
Nikita Artamonov | 2024 | 46 | |||
Nikita Guslistov | 2021 | 217 | |||
Oliver Tulk | 2024 | 211 |
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