Denver Spurs | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Jean-François Lefebvre | Morale : 40 | Team Overall : 76 |
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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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nazem Kadri | X | 100.00 | 61 | 60 | 84 | 80 | 65 | 83 | 90 | 85 | 88 | 85 | 78 | 62 | 72 | 96 | 91 | 0 | 40 | 82 | 0 | 34 | 3 | 4,000,000$ | ||||
2 | Wyatt Johnston | X | 100.00 | 60 | 54 | 86 | 81 | 71 | 82 | 90 | 81 | 76 | 78 | 80 | 78 | 60 | 57 | 81 | 0 | 40 | 81 | 0 | 21 | 2 | 925,000$ | ||||
3 | Tyler Seguin | X | 100.00 | 64 | 53 | 87 | 82 | 72 | 82 | 75 | 78 | 81 | 78 | 79 | 72 | 65 | 92 | 85 | 0 | 40 | 81 | 0 | 32 | 5 | 8,450,000$ | ||||
4 | Jonathan Huberdeau | X | 100.00 | 62 | 65 | 83 | 82 | 70 | 82 | 89 | 81 | 59 | 83 | 67 | 62 | 80 | 87 | 82 | 0 | 40 | 79 | 0 | 31 | 2 | 5,300,000$ | ||||
5 | Jason Dickinson | X | 100.00 | 78 | 64 | 84 | 77 | 73 | 82 | 90 | 70 | 90 | 61 | 75 | 85 | 65 | 79 | 74 | 0 | 40 | 78 | 0 | 29 | 3 | 2,000,000$ | ||||
6 | Max Pacioretty | X | 100.00 | 76 | 52 | 84 | 80 | 76 | 79 | 52 | 77 | 50 | 78 | 58 | 59 | 50 | 99 | 79 | 0 | 40 | 76 | 0 | 36 | 1 | 10,500,000$ | ||||
7 | Mason Appleton | X | 100.00 | 71 | 53 | 88 | 77 | 72 | 81 | 90 | 66 | 63 | 69 | 70 | 80 | 50 | 72 | 74 | 0 | 40 | 76 | 0 | 28 | 3 | 900,000$ | ||||
8 | Anton Lundell | X | 100.00 | 63 | 59 | 83 | 77 | 69 | 80 | 86 | 75 | 86 | 70 | 67 | 76 | 81 | 61 | 71 | 0 | 40 | 75 | 0 | 23 | 1 | 925,000$ | ||||
9 | Pius Suter | X | 100.00 | 63 | 52 | 90 | 77 | 61 | 80 | 74 | 74 | 69 | 66 | 72 | 75 | 65 | 68 | 74 | 0 | 40 | 75 | 0 | 28 | 3 | 2,750,000$ | ||||
10 | Sam Steel | X | 100.00 | 62 | 59 | 87 | 73 | 65 | 78 | 85 | 64 | 60 | 63 | 66 | 82 | 56 | 70 | 68 | 0 | 40 | 73 | 0 | 26 | 1 | 874,125$ | ||||
11 | Jesperi Kotkaniemi | X | 100.00 | 61 | 54 | 86 | 77 | 74 | 78 | 87 | 72 | 77 | 63 | 68 | 63 | 50 | 68 | 68 | 0 | 40 | 72 | 0 | 24 | 3 | 4,000,000$ | ||||
12 | Max Jones | X | 100.00 | 88 | 53 | 82 | 73 | 79 | 77 | 57 | 68 | 50 | 63 | 62 | 59 | 50 | 70 | 67 | 0 | 40 | 71 | 0 | 26 | 1 | 1,100,000$ | ||||
13 | Artem Zub | X | 100.00 | 80 | 53 | 85 | 82 | 77 | 86 | 76 | 65 | 40 | 76 | 66 | 85 | 50 | 69 | 77 | 0 | 40 | 81 | 0 | 29 | 3 | 1,750,000$ | ||||
14 | Nick Leddy | X | 100.00 | 59 | 51 | 90 | 82 | 68 | 87 | 90 | 64 | 40 | 78 | 60 | 85 | 50 | 93 | 79 | 0 | 40 | 79 | 0 | 33 | 4 | 5,000,000$ | ||||
15 | Matt Dumba | X | 100.00 | 89 | 79 | 71 | 77 | 64 | 85 | 83 | 66 | 40 | 61 | 64 | 85 | 50 | 84 | 70 | 0 | 40 | 79 | 0 | 30 | 2 | 4,800,000$ | ||||
16 | Arber Xhekaj | X | 100.00 | 90 | 90 | 57 | 77 | 87 | 81 | 54 | 70 | 40 | 64 | 66 | 66 | 50 | 59 | 67 | 0 | 40 | 76 | 0 | 23 | 1 | 820,000$ | ||||
17 | William Lagesson | X | 100.00 | 78 | 65 | 79 | 73 | 75 | 80 | 52 | 58 | 40 | 59 | 50 | 76 | 50 | 70 | 65 | 0 | 40 | 72 | 0 | 28 | 4 | 750,000$ | ||||
18 | Cal Foote | X | 100.00 | 56 | 63 | 55 | 67 | 87 | 74 | 30 | 85 | 41 | 57 | 54 | 71 | 32 | 66 | 95 | 0 | 40 | 72 | 0 | 26 | 1 | 750,000$ | ||||
19 | Michael Del Zotto | X | 100.00 | 73 | 50 | 90 | 71 | 66 | 60 | 55 | 59 | 30 | 67 | 64 | 57 | 49 | 92 | 76 | 0 | 40 | 69 | 0 | 34 | 3 | 1,750,000$ | ||||
20 | Radim Simek | X | 100.00 | 77 | 57 | 81 | 73 | 68 | 60 | 55 | 56 | 35 | 50 | 52 | 70 | 47 | 75 | 62 | 0 | 40 | 68 | 0 | 32 | 1 | 700,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||||||||
1 | Zach Aston-Reese | X | 100.00 | 60 | 53 | 55 | 67 | 71 | 73 | 30 | 85 | 51 | 57 | 59 | 50 | 44 | 76 | 95 | 0 | 40 | 67 | 0 | 30 | 2 | 1,000,000$ | ||||
2 | Saku Maenalanen | X | 100.00 | 68 | 52 | 88 | 73 | 82 | 60 | 55 | 55 | 45 | 56 | 54 | 62 | 47 | 73 | 58 | 0 | 40 | 66 | 0 | 30 | 4 | 750,000$ | ||||
3 | Nikita Nesterenko | X | 100.00 | 73 | 50 | 90 | 63 | 70 | 77 | 30 | 55 | 36 | 50 | 68 | 50 | 37 | 59 | 61 | 0 | 40 | 63 | 0 | 23 | 1 | 925,000$ | ||||
4 | Frank Nazar (R) | X | 100.00 | 45 | 50 | 90 | 71 | 53 | 81 | 30 | 55 | 54 | 50 | 68 | 55 | 37 | 54 | 61 | 0 | 40 | 63 | 0 | 20 | 3 | 950,000$ | ||||
5 | Kieffer Bellows | X | 100.00 | 68 | 51 | 89 | 73 | 69 | 60 | 55 | 55 | 47 | 50 | 54 | 50 | 43 | 67 | 55 | 0 | 40 | 61 | 0 | 26 | 1 | 750,000$ | ||||
6 | Cooper Marody | X | 100.00 | 39 | 50 | 90 | 73 | 64 | 60 | 55 | 55 | 30 | 60 | 50 | 50 | 30 | 68 | 69 | 0 | 40 | 61 | 0 | 28 | 4 | 750,000$ | ||||
7 | Mikhail Maltsev | X | 100.00 | 52 | 50 | 90 | 73 | 76 | 60 | 55 | 55 | 46 | 50 | 50 | 50 | 30 | 65 | 51 | 0 | 40 | 60 | 0 | 26 | 1 | 775,000$ | ||||
8 | Tyler Benson | X | 100.00 | 54 | 50 | 90 | 67 | 65 | 60 | 55 | 55 | 31 | 50 | 50 | 50 | 30 | 67 | 51 | 0 | 40 | 58 | 0 | 26 | 1 | 750,000$ | ||||
9 | Isak Rosen (R) | X | 100.00 | 45 | 50 | 90 | 62 | 62 | 74 | 30 | 55 | 37 | 50 | 50 | 53 | 31 | 55 | 53 | 0 | 40 | 58 | 0 | 21 | 3 | 925,000$ | ||||
10 | Logan Mailloux (R) | X | 100.00 | 56 | 50 | 90 | 71 | 80 | 86 | 30 | 55 | 38 | 70 | 50 | 55 | 30 | 55 | 76 | 0 | 40 | 66 | 0 | 21 | 3 | 867,500$ | ||||
11 | Santeri Hatakka | X | 100.00 | 58 | 50 | 81 | 63 | 68 | 80 | 30 | 55 | 35 | 55 | 51 | 64 | 32 | 61 | 59 | 0 | 40 | 64 | 0 | 23 | 1 | 867,500$ | ||||
12 | Filip Kral | X | 100.00 | 53 | 50 | 63 | 73 | 73 | 60 | 55 | 55 | 31 | 50 | 50 | 52 | 30 | 60 | 51 | 0 | 40 | 61 | 0 | 25 | 2 | 850,000$ | ||||
13 | Robbie Russo | X | 100.00 | 44 | 45 | 55 | 73 | 65 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 63 | 0 | 40 | 59 | 0 | 31 | 1 | 700,000$ | ||||
14 | Mattias Norlinder | X | 100.00 | 46 | 50 | 81 | 67 | 64 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 58 | 51 | 0 | 40 | 58 | 0 | 24 | 1 | 842,500$ | ||||
TEAM AVERAGE | 100.00 | 64 | 56 | 82 | 74 | 71 | 74 | 61 | 65 | 50 | 62 | 61 | 64 | 47 | 71 | 69 | 0 | 40 | 70 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | John Gibson | 100.00 | 80 | 86 | 91 | 81 | 78 | 77 | 75 | 73 | 76 | 76 | 88 | 83 | 81 | 0 | 40 | 80 | 0 | 31 | 5 | 6,400,000$ | |
2 | Joel Hofer | 100.00 | 78 | 70 | 89 | 84 | 75 | 74 | 81 | 76 | 79 | 78 | 79 | 60 | 74 | 0 | 40 | 79 | 0 | 24 | 3 | 775,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Mikko Koskinen | 100.00 | 64 | 30 | 65 | 90 | 65 | 66 | 62 | 64 | 60 | 62 | 68 | 86 | 65 | 0 | 43 | 67 | 0 | 36 | 1 | 5,200,000$ | |
TEAM AVERAGE | 100.00 | 74 | 62 | 82 | 85 | 73 | 72 | 73 | 71 | 72 | 72 | 78 | 76 | 73 | 0 | 41 | 75 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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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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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 | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
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Anton Lundell | Denver Spurs | RW | 23 | 2001-10-03 | CAN | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2024-08-08 | False | False | Pro & Farm | 925,000$ | 66,071$ | 925,000$ | 66,071$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Arber Xhekaj | Denver Spurs | D | 23 | 2001-01-30 | CAN | No | 240 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 820,000$ | 58,571$ | 820,000$ | 58,571$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Artem Zub | Denver Spurs | D | 29 | 1995-10-03 | CAN | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,750,000$ | 125,000$ | 1,750,000$ | 125,000$ | No | 1,750,000$ | 1,750,000$ | - | - | - | - | - | - | - | 1,750,000$ | 1,750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Cal Foote | Denver Spurs | D | 26 | 1998-12-13 | CAN | No | 224 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 53,571$ | 750,000$ | 53,571$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jason Dickinson | Denver Spurs | C | 29 | 1995-07-04 | CAN | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,000,000$ | 142,857$ | 2,000,000$ | 142,857$ | No | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Jesperi Kotkaniemi | Denver Spurs | C | 24 | 2000-07-06 | CAN | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,000,000$ | 285,714$ | 4,000,000$ | 285,714$ | No | 4,000,000$ | 4,000,000$ | - | - | - | - | - | - | - | 4,000,000$ | 4,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Joel Hofer | Denver Spurs | G | 24 | 2000-07-30 | CAN | No | 179 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | 2024-08-29 | False | False | Pro & Farm | 775,000$ | 55,357$ | 775,000$ | 55,357$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
John Gibson | Denver Spurs | G | 31 | 1993-07-14 | CAN | No | 210 Lbs | 6 ft2 | No | No | N/A | No | No | 5 | 2024-08-29 | False | False | Pro & Farm | 6,400,000$ | 457,143$ | 6,400,000$ | 457,143$ | No | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | - | - | - | - | - | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
Jonathan Huberdeau | Denver Spurs | LW | 31 | 1993-06-04 | CAN | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,300,000$ | 378,571$ | 5,300,000$ | 378,571$ | No | 5,300,000$ | - | - | - | - | - | - | - | - | 5,300,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Mason Appleton | Denver Spurs | RW | 28 | 1996-01-15 | CAN | No | 194 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 900,000$ | 64,286$ | 900,000$ | 64,286$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 900,000$ | 900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Matt Dumba | Denver Spurs | D | 30 | 1994-07-25 | CAN | No | 181 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 4,800,000$ | 342,857$ | 4,800,000$ | 342,857$ | No | 4,800,000$ | - | - | - | - | - | - | - | - | 4,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Max Jones | Denver Spurs | LW | 26 | 1998-02-17 | CAN | No | 216 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,100,000$ | 78,571$ | 1,100,000$ | 78,571$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Max Pacioretty | Denver Spurs | LW | 36 | 1988-11-20 | CAN | No | 217 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 10,500,000$ | 750,000$ | 10,500,000$ | 750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Michael Del Zotto | Denver Spurs | D | 34 | 1990-06-24 | CAN | No | 195 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,750,000$ | 125,000$ | 1,750,000$ | 125,000$ | No | 1,750,000$ | 1,750,000$ | - | - | - | - | - | - | - | 1,750,000$ | 1,750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Nazem Kadri | Denver Spurs | C | 34 | 1990-10-06 | CAN | No | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,000,000$ | 285,714$ | 4,000,000$ | 285,714$ | No | 4,000,000$ | 4,000,000$ | - | - | - | - | - | - | - | 4,000,000$ | 4,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Nick Leddy | Denver Spurs | D | 33 | 1991-03-20 | CAN | No | 205 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 5,000,000$ | 357,143$ | 5,000,000$ | 357,143$ | No | 5,000,000$ | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | 5,000,000$ | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Pius Suter | Denver Spurs | C | 28 | 1996-05-24 | CAN | No | 179 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,750,000$ | 196,429$ | 2,750,000$ | 196,429$ | No | 2,750,000$ | 2,750,000$ | - | - | - | - | - | - | - | 2,750,000$ | 2,750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Radim Simek | Denver Spurs | D | 32 | 1992-09-20 | CAN | No | 204 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 50,000$ | 700,000$ | 50,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Sam Steel | Denver Spurs | C | 26 | 1998-02-03 | CAN | No | 185 Lbs | 6 ft0 | No | No | Trade | 2024-08-19 | No | No | 1 | False | False | Pro & Farm | 874,125$ | 62,438$ | 874,125$ | 62,438$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Tyler Seguin | Denver Spurs | RW | 32 | 1992-01-31 | CAN | No | 207 Lbs | 6 ft1 | No | No | N/A | No | No | 5 | 2024-08-29 | False | False | Pro & Farm | 8,450,000$ | 603,571$ | 8,450,000$ | 603,571$ | No | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | - | - | - | - | - | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
William Lagesson | Denver Spurs | D | 28 | 1996-02-22 | CAN | No | 211 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 750,000$ | 53,571$ | 750,000$ | 53,571$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Wyatt Johnston | Denver Spurs | C | 21 | 2003-05-14 | CAN | No | 184 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 925,000$ | 66,071$ | 925,000$ | 66,071$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 28.55 | 201 Lbs | 6 ft2 | 2.50 | 2,964,506$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
65,219,125$ | 49,550,000$ | 38,525,000$ | 20,600,000$ | 14,850,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Jonathan Huberdeau | Nazem Kadri | Tyler Seguin | 34 | 1 | 2 | 2 |
2 | Max Pacioretty | Wyatt Johnston | Mason Appleton | 30 | 1 | 2 | 2 |
3 | Max Jones | Jason Dickinson | Anton Lundell | 26 | 1 | 2 | 2 |
4 | Nazem Kadri | Pius Suter | Wyatt Johnston | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Artem Zub | Matt Dumba | 34 | 1 | 2 | 2 | |
2 | Nick Leddy | Arber Xhekaj | 30 | 1 | 2 | 2 | |
3 | William Lagesson | Cal Foote | 26 | 1 | 2 | 2 | |
4 | Michael Del Zotto | Radim Simek | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Jonathan Huberdeau | Nazem Kadri | Tyler Seguin | 51 | 1 | 2 | 2 |
2 | Max Pacioretty | Wyatt Johnston | Mason Appleton | 49 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Artem Zub | Matt Dumba | 51 | 1 | 2 | 2 | |
2 | Nick Leddy | Arber Xhekaj | 49 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nazem Kadri | Wyatt Johnston | 51 | 1 | 2 | 2 |
2 | Tyler Seguin | Jonathan Huberdeau | 49 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Artem Zub | Matt Dumba | 51 | 1 | 2 | 2 |
2 | Nick Leddy | Arber Xhekaj | 49 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Nazem Kadri | 51 | 1 | 2 | 2 | Artem Zub | Matt Dumba | 51 | 1 | 2 | 2 |
2 | Wyatt Johnston | 49 | 1 | 2 | 2 | Nick Leddy | Arber Xhekaj | 49 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nazem Kadri | Wyatt Johnston | 51 | 1 | 2 | 2 |
2 | Tyler Seguin | Jonathan Huberdeau | 49 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Artem Zub | Matt Dumba | 51 | 1 | 2 | 2 |
2 | Nick Leddy | Arber Xhekaj | 49 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jonathan Huberdeau | Nazem Kadri | Tyler Seguin | Artem Zub | Matt Dumba |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jonathan Huberdeau | Nazem Kadri | Tyler Seguin | Artem Zub | Matt Dumba |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Sam Steel, Jesperi Kotkaniemi, Jason Dickinson | Sam Steel, Jesperi Kotkaniemi | Jason Dickinson |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
William Lagesson, Cal Foote, Michael Del Zotto | William Lagesson | Cal Foote, Michael Del Zotto |
Penalty Shots |
---|
Nazem Kadri, Wyatt Johnston, Tyler Seguin, Jonathan Huberdeau, Jason Dickinson |
Goalie |
---|
#1 : John Gibson, #2 : Joel Hofer |
Custom OT Lines Forwards |
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Nazem Kadri, Wyatt Johnston, Tyler Seguin, Jonathan Huberdeau, Jason Dickinson, Mason Appleton, Mason Appleton, Max Pacioretty, Pius Suter, Anton Lundell, Sam Steel |
Custom OT Lines Defensemen |
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Artem Zub, Matt Dumba, Nick Leddy, Arber Xhekaj, William Lagesson |
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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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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 0 |
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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6400 | 5400 | 3400 | 4400 | 2400 |
Ticket Price | 100 | 75 | 50 | 30 | 175 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 22000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 65,219,125$ | 65,219,125$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 22 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 2 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 74,194,758$ | 74,194,758$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 83,500,000$ | 83,500,000$ | -42,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
---|---|---|---|---|---|---|
Aaron Huglen | Denver Spurs | 0 | 0 | |||
Adam Scheel | Denver Spurs | 0 | 0 | |||
Alexander Khokhlachev | Denver Spurs | 0 | 0 | |||
Andreas Englund | Denver Spurs | 0 | 0 | |||
Anton Wahlberg | Denver Spurs | 0 | 0 | |||
Arvid Holm | Denver Spurs | 2020 | 167 | |||
Axel Holmstrom | Denver Spurs | 0 | 0 | |||
Chase Wutzke | Denver Spurs | 2024 | 142 | |||
Damien Giroux | Denver Spurs | 0 | 0 | |||
David Cotton | Denver Spurs | 0 | 0 | |||
David Sklenicka | Denver Spurs | 0 | 0 | |||
Dominik Bokk | Denver Spurs | 2018 | 25 | |||
Dylan Blujus | Denver Spurs | 0 | 0 | |||
EJ Emery | Denver Spurs | 2024 | 30 | |||
Eriks Mateiko | Denver Spurs | 2024 | 90 | |||
Gregory Hofman | Denver Spurs | 0 | 0 | |||
Jesse Nurmi | Denver Spurs | 0 | 0 | |||
Joel Persson | Denver Spurs | 0 | 0 | |||
Lukas Fisher | Denver Spurs | 2024 | 56 | |||
Luke Tuch | Denver Spurs | 2020 | 47 | |||
Markus Kallionkielli | Denver Spurs | 0 | 0 | |||
Matt Filipe | Denver Spurs | 0 | 0 | |||
Michael Brodzinski | Denver Spurs | 0 | 0 | |||
Miroslav Svobada | Denver Spurs | 0 | 0 | |||
Mitchell Vande Sompel | Denver Spurs | 0 | 0 | |||
Oliver Kapanen | Denver Spurs | 0 | 0 | |||
Rhett Pitlick | Denver Spurs | 0 | 0 | |||
Ryan Gropp | Denver Spurs | 0 | 0 | |||
Sawyer Mynio | Denver Spurs | 0 | 0 | |||
Simon Robertsson | Denver Spurs | 0 | 0 | |||
Tij Iginla | Denver Spurs | 2024 | 6 | |||
Trevor Hoskin | Denver Spurs | 2024 | 106 | |||
Tristan Lennox | Denver Spurs | 0 | 0 | |||
Tyler Brennan | Denver Spurs | 0 | 0 | |||
Victor Johansson | Denver Spurs | 2024 | 120 | |||
Vilmer Alriksson | Denver Spurs | 0 | 0 | |||
William Whitelaw | Denver Spurs | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 | R6 |
---|---|---|---|---|---|---|
2025 | DEN | DEN | DEN | DEN | DEN | DEN |
2026 | DEN | DEN | DEN | DEN | DEN | DEN |
2027 | DEN | DEN | DEN | DEN | DEN | DEN |
2028 | DEN | DEN | DEN | DEN | DEN | DEN |
2029 | DEN | DEN | DEN | DEN | DEN | DEN |
Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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