Lightning | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Julian | Morale : 99 | Team Overall : N/A |
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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 | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nick Schmaltz | X | 100.00 | 62 | 50 | 94 | 89 | 69 | 86 | 94 | 80 | 71 | 79 | 75 | 69 | 69 | 53 | 60 | 0 | 99 | 0 | 0 | 28 | 3 | 5,650,000$ | |||||
2 | Artturi Lehkonen | X | X | 100.00 | 70 | 50 | 92 | 89 | 68 | 85 | 83 | 80 | 61 | 76 | 78 | 79 | 65 | 60 | 61 | 0 | 99 | 0 | 0 | 29 | 3 | 3,250,000$ | ||||
3 | Reese Johnson | X | 100.00 | 80 | 60 | 86 | 66 | 73 | 77 | 82 | 69 | 69 | 65 | 66 | 80 | 65 | 58 | 63 | 0 | 99 | 0 | 0 | 26 | 1 | 1,100,000$ | |||||
4 | Mattias Janmark-Nylen | X | 100.00 | 67 | 54 | 89 | 70 | 78 | 78 | 91 | 70 | 64 | 66 | 66 | 78 | 65 | 65 | 69 | 0 | 99 | 0 | 0 | 32 | 1 | 1,200,000$ | |||||
5 | Casey Cizikas | X | 100.00 | 75 | 50 | 92 | 79 | 73 | 80 | 91 | 73 | 77 | 69 | 69 | 82 | 65 | 70 | 67 | 0 | 99 | 0 | 0 | 33 | 2 | 2,700,000$ | |||||
6 | Michael Rasmussen | X | 100.00 | 73 | 52 | 89 | 83 | 84 | 82 | 92 | 75 | 66 | 71 | 70 | 81 | 65 | 55 | 60 | 0 | 99 | 0 | 0 | 25 | 2 | 1,900,000$ | |||||
7 | Ryan Donato | X | 100.00 | 72 | 54 | 92 | 82 | 72 | 80 | 93 | 74 | 64 | 70 | 70 | 71 | 66 | 53 | 60 | 0 | 99 | 0 | 0 | 28 | 3 | 2,650,000$ | |||||
8 | MacKenzie Weegar | X | 100.00 | 78 | 52 | 89 | 90 | 77 | 89 | 95 | 84 | 25 | 77 | 80 | 85 | 65 | 59 | 63 | 0 | 99 | 0 | 0 | 30 | 2 | 3,562,500$ | |||||
9 | Noah Dobson | X | 100.00 | 70 | 50 | 91 | 95 | 77 | 91 | 94 | 90 | 25 | 92 | 74 | 77 | 66 | 51 | 59 | 0 | 99 | 0 | 0 | 24 | 2 | 4,200,000$ | |||||
10 | Dante Fabbro | X | 100.00 | 68 | 50 | 91 | 81 | 72 | 83 | 87 | 74 | 25 | 69 | 68 | 76 | 65 | 51 | 59 | 0 | 99 | 0 | 0 | 26 | 1 | 2,100,000$ | |||||
11 | Jon Merrill | X | 100.00 | 65 | 50 | 91 | 76 | 78 | 79 | 89 | 71 | 25 | 66 | 69 | 70 | 65 | 60 | 65 | 0 | 99 | 0 | 0 | 32 | 2 | 650,000$ | |||||
12 | Colin Miller | X | 100.00 | 75 | 50 | 90 | 77 | 76 | 82 | 84 | 72 | 25 | 66 | 71 | 75 | 65 | 66 | 67 | 0 | 99 | 0 | 0 | 32 | 2 | 1,500,000$ | |||||
13 | Timothy Liljegren | X | 100.00 | 73 | 50 | 93 | 87 | 72 | 86 | 86 | 78 | 25 | 76 | 68 | 78 | 65 | 56 | 63 | 0 | 99 | 0 | 0 | 25 | 1 | 1,750,000$ | |||||
Scratches | ||||||||||||||||||||||||||||||
1 | Brock Boeser | X | X | 100.00 | 66 | 50 | 94 | 89 | 78 | 85 | 94 | 83 | 62 | 76 | 83 | 67 | 65 | 51 | 60 | 0 | 99 | 0 | 0 | 27 | 7 | 5,350,000$ | ||||
2 | Rudolfs Balcers | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 52 | 63 | 0 | 52 | 0 | 0 | 27 | 0 | 0$ | ||||
Farm Team | ||||||||||||||||||||||||||||||
1 | Jerry Turkulainen | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 54 | 63 | 0 | 66 | 0 | 0 | 26 | 1 | 716,625$ | ||||
2 | Linus Karlsson | X | 100.00 | 60 | 50 | 90 | 73 | 68 | 77 | 90 | 66 | 64 | 67 | 65 | 68 | 65 | 50 | 55 | 0 | 99 | 0 | 0 | 25 | 1 | 975,000$ | |||||
3 | John Beecher | X | 100.00 | 76 | 54 | 91 | 72 | 82 | 77 | 91 | 70 | 85 | 65 | 69 | 81 | 65 | 46 | 55 | 0 | 99 | 0 | 0 | 23 | 1 | 1,500,000$ | |||||
4 | Antonio Stranges | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 48 | 55 | 0 | 68 | 0 | 0 | 22 | 1 | 825,000$ | |||
5 | Tyler Boucher | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 42 | 55 | 0 | 28 | 0 | 0 | 21 | 1 | 1,500,000$ | ||||
6 | Brett Harrison | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 46 | 55 | 0 | 76 | 0 | 0 | 21 | 1 | 975,000$ | |||||
7 | Mathias Emilio Pettersen | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 50 | 60 | 0 | 16 | 0 | 0 | 24 | 1 | 866,250$ | |||||
8 | Jacob Olofsson | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 53 | 57 | 0 | 50 | 0 | 0 | 24 | 0 | 0$ | |||||
9 | Mason Primeau | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 53 | 57 | 0 | 62 | 0 | 0 | 23 | 0 | 0$ | |||||
10 | Jean-Luc Foudy | X | 100.00 | 60 | 50 | 89 | 69 | 67 | 75 | 79 | 64 | 61 | 65 | 63 | 65 | 65 | 49 | 57 | 0 | 99 | 0 | 0 | 22 | 1 | 1,312,500$ | |||||
11 | Andre Lee | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 46 | 55 | 0 | 71 | 0 | 0 | 24 | 1 | 735,000$ | |||
12 | Nicholas Abruzzese | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 46 | 55 | 0 | 58 | 0 | 0 | 25 | 1 | 787,500$ | |||
13 | Trevor Janicke (R) | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 24 | 2 | 975,000$ | |||
14 | Gunnarwolfe Fontaine (R) | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 24 | 2 | 750,000$ | |||
15 | Tristan Broz (R) | X | 100.00 | 12 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 22 | 2 | 1,250,000$ | |||||
16 | Rasmus Kumpulainen (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 19 | 3 | 975,000$ | |||||
17 | Matt Kiersted | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 52 | 60 | 0 | 77 | 0 | 0 | 26 | 1 | 790,079$ | |||||
18 | Michael Vukojevic | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 51 | 57 | 0 | 74 | 0 | 0 | 23 | 0 | 0$ | |||||
19 | Chris Hedden | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 29 | 0 | 0 | 22 | 2 | 650,000$ | |||||
20 | Angus Booth (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 825,000$ | |||||
TEAM AVERAGE | 100.00 | 35 | 26 | 45 | 40 | 37 | 40 | 44 | 37 | 26 | 35 | 35 | 37 | 32 | 45 | 51 | 0 | 69 | 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 |
# | Goalie Name | CON | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jeremy Swayman | 100.00 | 77 | 84 | 82 | 80 | 81 | 82 | 84 | 82 | 87 | 83 | 90 | 49 | 58 | 0 | 99 | 0 | 0 | 26 | 1 | 2,450,000$ | ||
2 | James Reimer | 100.00 | 70 | 79 | 75 | 81 | 79 | 73 | 76 | 74 | 80 | 69 | 73 | 75 | 72 | 0 | 99 | 0 | 0 | 36 | 1 | 1,350,000$ | ||
Scratches | ||||||||||||||||||||||||
Farm Team | ||||||||||||||||||||||||
1 | Luke Pavicich | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 65 | 0 | 0 | 22 | 1 | 650,000$ | ||
2 | Ian Shane | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 24 | 0 | 0 | 24 | 2 | 650,000$ | ||
TEAM AVERAGE | 100.00 | 37 | 41 | 40 | 41 | 41 | 39 | 41 | 40 | 42 | 39 | 41 | 51 | 60 | 0 | 72 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 75 | 85 | 81 | 84 | 80 | 82 | 1 | CAN | 60 | 2 | 1,000,000$ |
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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Artturi Lehkonen | Lightning | LW/RW | 29 | 1995-07-04 | FIN | No | 179 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | No | 2,437,500$ | 2,437,500$ | - | - | - | - | - | - | - | 3,250,000$ | 3,250,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Brock Boeser | Lightning | LW/RW | 27 | 1997-02-25 | USA | No | 208 Lbs | 6 ft1 | No | No | N/A | No | No | 7 | 2024-08-31 | False | False | Pro & Farm | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | No | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | - | - | - | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | - | - | - | No | No | No | No | No | No | - | - | - | ||
Casey Cizikas | Lightning | C | 33 | 1991-02-27 | CAN | No | 194 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | No | 2,700,000$ | - | - | - | - | - | - | - | - | 2,700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Colin Miller | Lightning | D | 32 | 1992-10-29 | CAN | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Dante Fabbro | Lightning | D | 26 | 1998-06-20 | CAN | No | 189 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
James Reimer | Lightning | G | 36 | 1988-03-15 | CAN | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jeremy Swayman | Lightning | G | 26 | 1998-11-24 | USA | No | 195 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,450,000$ | 2,450,000$ | 2,450,000$ | 2,450,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jon Merrill | Lightning | D | 32 | 1992-02-03 | USA | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 650,000$ | 650,000$ | 650,000$ | 650,000$ | No | 650,000$ | - | - | - | - | - | - | - | - | 650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
MacKenzie Weegar | Lightning | D | 30 | 1994-01-07 | CAN | No | 206 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,562,500$ | 3,562,500$ | 4,750,000$ | 4,750,000$ | No | 3,562,500$ | - | - | - | - | - | - | - | - | 4,750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Mattias Janmark-Nylen (1 Way Contract) | Lightning | C | 32 | 1992-12-08 | SWE | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Michael Rasmussen (1 Way Contract) | Lightning | C | 25 | 1999-04-17 | CAN | No | 220 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | No | 1,900,000$ | - | - | - | - | - | - | - | - | 1,900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Nick Schmaltz | Lightning | C | 28 | 1996-02-23 | USA | No | 181 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 5,650,000$ | 5,650,000$ | 5,650,000$ | 5,650,000$ | No | 5,650,000$ | 5,650,000$ | - | - | - | - | - | - | - | 5,650,000$ | 5,650,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Noah Dobson | Lightning | D | 24 | 2000-01-07 | CAN | No | 200 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 4,200,000$ | 4,200,000$ | 3,500,000$ | 3,500,000$ | No | 4,200,000$ | - | - | - | - | - | - | - | - | 3,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Reese Johnson | Lightning | C | 26 | 1998-07-10 | CAN | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Rudolfs Balcers | Lightning | LW/RW | 27 | 1997-04-08 | LVA | No | 182 Lbs | 5 ft11 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
Ryan Donato | Lightning | C | 28 | 1996-04-09 | USA | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,650,000$ | 2,650,000$ | 2,650,000$ | 2,650,000$ | No | 2,650,000$ | 2,650,000$ | - | - | - | - | - | - | - | 2,650,000$ | 2,650,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Timothy Liljegren (1 Way Contract) | Lightning | D | 25 | 1999-04-30 | SWE | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
17 | 28.59 | 196 Lbs | 6 ft1 | 2.00 | 2,433,088$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
41,362,500$ | 30,600,000$ | 16,087,500$ | 5,350,000$ | 5,350,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Nick Schmaltz | Michael Rasmussen | 33 | 1 | 2 | 2 | |
2 | Artturi Lehkonen | Ryan Donato | 32 | 1 | 2 | 2 | |
3 | Mattias Janmark-Nylen | Casey Cizikas | 25 | 1 | 2 | 2 | |
4 | Reese Johnson | Casey Cizikas | Artturi Lehkonen | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Timothy Liljegren | Jon Merrill | 33 | 1 | 2 | 2 | |
2 | 30 | 1 | 2 | 2 | |||
3 | MacKenzie Weegar | Noah Dobson | 25 | 1 | 2 | 2 | |
4 | MacKenzie Weegar | Dante Fabbro | 12 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Nick Schmaltz | Michael Rasmussen | 50 | 1 | 2 | 2 | |
2 | Artturi Lehkonen | Casey Cizikas | 50 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Timothy Liljegren | 50 | 1 | 2 | 2 | ||
2 | Noah Dobson | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Michael Rasmussen | Mattias Janmark-Nylen | 50 | 1 | 2 | 2 |
2 | Casey Cizikas | Reese Johnson | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Timothy Liljegren | MacKenzie Weegar | 50 | 1 | 2 | 2 |
2 | Dante Fabbro | 50 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Reese Johnson | 50 | 1 | 2 | 2 | Timothy Liljegren | MacKenzie Weegar | 50 | 1 | 2 | 2 |
2 | Nick Schmaltz | 50 | 1 | 2 | 2 | Dante Fabbro | 50 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nick Schmaltz | 50 | 1 | 2 | 2 | |
2 | Michael Rasmussen | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Noah Dobson | 50 | 1 | 2 | 2 | |
2 | Dante Fabbro | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Nick Schmaltz | Michael Rasmussen | Artturi Lehkonen | Noah Dobson | Jon Merrill |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Nick Schmaltz | Michael Rasmussen | Reese Johnson | Timothy Liljegren | MacKenzie Weegar |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Artturi Lehkonen, , Casey Cizikas | Casey Cizikas, | Casey Cizikas |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Timothy Liljegren, Dante Fabbro, MacKenzie Weegar | Timothy Liljegren | Dante Fabbro, |
Penalty Shots |
---|
Michael Rasmussen, Nick Schmaltz, , Mattias Janmark-Nylen, |
Goalie |
---|
#1 : Jeremy Swayman, #2 : James Reimer |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | 6250 | 5250 | 2600 | 4200 | 1200 |
Ticket Price | 90 | 50 | 29 | 18 | 205 |
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$ | 19500 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 41,362,500$ | 41,850,000$ | 1,000,000$0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 16 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 131,802,233$ | 131,802,233$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 82,000,000$ | 82,000,000$ | -52,000,000$ |
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
---|---|---|---|---|---|---|
Cameron Lund | Lightning | 0 | 0 | |||
Cayden Lindstrom | Lightning | 0 | 0 | |||
Charlie Stramel | Lightning | 0 | 0 | |||
Christopher Pelosi | Lightning | 0 | 0 | |||
Dmitriy Simashev | Lightning | 0 | 0 | |||
Ivan Yunin | Lightning | 0 | 0 | |||
Jaden Lipinski | Lightning | 0 | 0 | |||
Kamil Bednarik | Lightning | 0 | 0 | |||
Maveric Lamoureux | Lightning | 0 | 0 | |||
Nikita Artamonov | Lightning | 0 | 0 | |||
Nikita Ishimnikov | Lightning | 0 | 0 | |||
Ryan Hofer | Lightning | 0 | 0 | |||
Samuel Savoie | Lightning | 0 | 0 | |||
Simon-Pier Brunet | Lightning | 0 | 0 | |||
Tory Pitner | Lightning | 0 | 0 | |||
Trevor Hoskin | Lightning | 0 | 0 | |||
William Wallinder | Lightning | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | TBL | TBL | TBL | TBL | TBL | TBL | TBL |
2025 | TBL | TBL | TBL | TBL | TBL | TBL | TBL |
2026 | TBL | TBL | TBL | TBL | TBL | TBL | TBL |
2027 | TBL | TBL | TBL | TBL | TBL | TBL | TBL |
2028 | TBL | TBL | TBL | TBL | TBL | TBL | TBL |
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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