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Full Scoreboard »» |
Columbus Blue Jackets 15-10-4, 34pts · 3rd in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 13 | C/RW | 98.00 | 58 | 33 | 95 | 96 | 77 | 90 | 90 | 92 | 76 | 89 | 99 | 86 | 95 | 74 | 73 | 0 | 53 | 99 | 28 | 7,000,000$/4yrs | |||
![]() | 81 | LW | 98.00 | 53 | 32 | 95 | 90 | 73 | 90 | 90 | 88 | 56 | 81 | 99 | 60 | 93 | 71 | 70 | 0 | 34 | 94 | 26 | 7,500,000$/4yrs | |||
![]() | 9 | C | 98.00 | 58 | 33 | 95 | 84 | 82 | 89 | 90 | 82 | 83 | 85 | 83 | 95 | 83 | 72 | 71 | 0 | 57 | 92 | 27 | 10,000,000$/3yrs | |||
![]() | 53 | C | 100.00 | 64 | 33 | 91 | 82 | 82 | 89 | 90 | 82 | 95 | 79 | 87 | 81 | 84 | 74 | 86 | 0 | 58 | 91 | 28 | 8,000,000$/8yrs | |||
![]() | 38 | C/LW | 98.00 | 69 | 33 | 86 | 75 | 81 | 88 | 90 | 77 | 93 | 66 | 86 | 92 | 81 | 77 | 94 | 0 | 56 | 89 | 30 | 3,750,000$/3yrs | |||
![]() | 49 | C/LW/RW | 100.00 | 80 | 36 | 82 | 75 | 77 | 83 | 90 | 75 | 71 | 78 | 76 | 75 | 76 | 72 | 70 | 0 | 52 | 85 | 27 | 4,250,000$/4yrs | |||
![]() | 96 | C/RW | 100.00 | 62 | 33 | 95 | 77 | 79 | 82 | 89 | 72 | 80 | 79 | 69 | 80 | 70 | 70 | 69 | 0 | 55 | 84 | 26 | 4,000,000$/1yrs | |||
![]() | 42 | C/LW/RW | 98.00 | 59 | 32 | 88 | 76 | 74 | 80 | 71 | 76 | 60 | 73 | 79 | 77 | 77 | 65 | 64 | 0 | 53 | 84 | 24 | 1,525,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 37 | 89 | 70 | 84 | 80 | 88 | 69 | 85 | 68 | 72 | 84 | 71 | 73 | 72 | 0 | 55 | 83 | 28 | 1,050,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 82 | 41 | 79 | 69 | 80 | 80 | 90 | 67 | 59 | 66 | 72 | 82 | 69 | 70 | 68 | 0 | 60 | 82 | 26 | 1,300,000$/1yrs | |||
![]() | 20 | C/RW | 100.00 | 76 | 44 | 79 | 65 | 76 | 77 | 90 | 65 | 88 | 72 | 62 | 80 | 64 | 68 | 66 | 0 | 55 | 79 | 25 | 1,800,000$/2yrs | |||
![]() | 11 | C/RW | 100.00 | 65 | 34 | 77 | 60 | 86 | 77 | 90 | 62 | 83 | 50 | 77 | 88 | 69 | 71 | 68 | 0 | 43 | 77 | 27 | 900,000$/1yrs | |||
![]() | 7 | D | 96.00 | 68 | 33 | 89 | 81 | 76 | 98 | 88 | 80 | 30 | 85 | 70 | 91 | 75 | 75 | 74 | 0 | 56 | 93 | 29 | 4,450,000$/2yrs | |||
![]() | 4 | D | 98.00 | 63 | 33 | 88 | 77 | 79 | 95 | 90 | 76 | 30 | 81 | 70 | 87 | 73 | 71 | 69 | 0 | 57 | 89 | 27 | 4,450,000$/2yrs | |||
![]() | 44 | D | 100.00 | 66 | 51 | 70 | 67 | 91 | 88 | 90 | 76 | 30 | 76 | 64 | 92 | 70 | 79 | 76 | 0 | 59 | 87 | 31 | 1,250,000$/1yrs | |||
![]() | 90 | D | 100.00 | 68 | 35 | 85 | 70 | 70 | 90 | 90 | 72 | 30 | 74 | 66 | 87 | 69 | 64 | 63 | 0 | 54 | 85 | 23 | 886,667$/1yrs | |||
![]() | 28 | D | 100.00 | 72 | 33 | 91 | 62 | 84 | 91 | 90 | 71 | 30 | 72 | 58 | 87 | 64 | 79 | 78 | 0 | 53 | 84 | 32 | 3,150,000$/4yrs | |||
![]() | 78 | D | 98.00 | 58 | 33 | 77 | 71 | 81 | 91 | 90 | 71 | 30 | 73 | 64 | 86 | 67 | 75 | 72 | 0 | 51 | 84 | 29 | 5,750,000$/6yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.00 | 66 | 36 | 86 | 75 | 80 | 87 | 89 | 75 | 62 | 75 | 75 | 84 | 75 | 72 | 72 | 0 | 53 | 87 |
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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 88 | 99.00 | 93 | 95 | 84 | 90 | 93 | 88 | 93 | 95 | 91 | 93 | 93 | 74 | 79 | 0 | 57 | 94 | 29 | 9,500,000$/5yrs |
![]() | 0 | 97.00 | 80 | 73 | 71 | 84 | 76 | 76 | 78 | 81 | 77 | 81 | 78 | 76 | 80 | 0 | 63 | 82 | 31 | 925,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.00 | 87 | 84 | 78 | 87 | 85 | 82 | 86 | 88 | 84 | 87 | 86 | 75 | 80 | 0 | 60 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Lane Lambert | 94 | 86 | 86 | 76 | 78 | 74 | 86 | CAN | 59 | 3 | 1,000,000$ |
General Manager | Étienne Bourget |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Bo Horvat | 53 | C | 29 | 9 | 20 | 29 | 6 | 10 | 0 | 39 | 136 | 31 | 90 | 6.62% | 9 | 19.10 | 3 | 7 | 10 | 82 | 0 | 0 | 0 | 34 | 2 | 1 | 58.78% | 723 | 0 | 0 | 0 | 0 | 1.05 | 0 | 1 | |
2 | Boone Jenner | 38 | C/LW | 29 | 11 | 10 | 21 | 6 | 6 | 0 | 30 | 83 | 23 | 67 | 13.25% | 7 | 18.35 | 2 | 4 | 6 | 90 | 0 | 0 | 0 | 66 | 2 | 2 | 57.68% | 534 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
3 | Devon Toews | 7 | D | 29 | 5 | 16 | 21 | 2 | 16 | 0 | 40 | 58 | 21 | 23 | 8.62% | 35 | 24.05 | 2 | 10 | 12 | 90 | 0 | 0 | 0 | 57 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
4 | Sam Reinhart | 13 | C/RW | 29 | 9 | 12 | 21 | 4 | 2 | 0 | 30 | 121 | 32 | 67 | 7.44% | 7 | 17.96 | 4 | 4 | 8 | 87 | 0 | 0 | 0 | 0 | 3 | 0 | 48.28% | 29 | 0 | 0 | 0 | 0 | 0.81 | 0 | 1 | |
5 | Rasmus Andersson | 4 | D | 29 | 6 | 13 | 19 | -4 | 10 | 0 | 28 | 45 | 14 | 30 | 13.33% | 48 | 23.82 | 4 | 6 | 10 | 89 | 0 | 0 | 0 | 64 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
6 | Alexandre Texier | 42 | C/LW/RW | 29 | 7 | 10 | 17 | 15 | 2 | 0 | 23 | 76 | 22 | 32 | 9.21% | 3 | 16.53 | 5 | 2 | 7 | 81 | 0 | 0 | 0 | 0 | 0 | 0 | 24.14% | 29 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
7 | Jack Eichel | 9 | C | 29 | 5 | 10 | 15 | -4 | 6 | 0 | 30 | 96 | 20 | 91 | 5.21% | 7 | 19.41 | 0 | 6 | 6 | 93 | 0 | 0 | 0 | 27 | 1 | 0 | 51.21% | 746 | 0 | 0 | 0 | 0 | 0.53 | 0 | 2 | |
8 | Ivan Barbashev | 49 | C/LW/RW | 29 | 4 | 9 | 13 | 7 | 14 | 0 | 75 | 32 | 18 | 35 | 12.50% | 0 | 14.36 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 10 | 2 | 0 | 60.87% | 46 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
9 | Kyle Connor | 81 | LW | 29 | 5 | 8 | 13 | -14 | 4 | 0 | 9 | 86 | 20 | 64 | 5.81% | 7 | 18.51 | 1 | 3 | 4 | 80 | 0 | 0 | 0 | 0 | 1 | 1 | 46.67% | 45 | 0 | 0 | 0 | 0 | 0.48 | 0 | 4 | |
10 | Janis Moser | 90 | D | 29 | 3 | 9 | 12 | 4 | 10 | 0 | 19 | 30 | 10 | 32 | 10.00% | 29 | 17.39 | 1 | 1 | 2 | 87 | 0 | 0 | 0 | 47 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
11 | Damon Severson | 78 | D | 29 | 1 | 10 | 11 | 4 | 20 | 0 | 36 | 39 | 11 | 26 | 2.56% | 13 | 21.64 | 0 | 1 | 1 | 87 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
12 | Jack Roslovic | 96 | C/RW | 29 | 2 | 6 | 8 | 4 | 4 | 0 | 11 | 49 | 13 | 47 | 4.08% | 2 | 14.40 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 32 | 0 | 0 | 50.94% | 53 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
13 | Erik Gudbranson | 44 | D | 27 | 4 | 3 | 7 | 6 | 21 | 5 | 39 | 13 | 0 | 8 | 30.77% | 25 | 13.87 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 32 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
14 | Yakov Trenin | 0 | C/LW | 27 | 1 | 4 | 5 | 6 | 16 | 0 | 39 | 27 | 11 | 21 | 3.70% | 3 | 10.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 1 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
15 | Michael McLeod | 20 | C/RW | 29 | 3 | 1 | 4 | -5 | 0 | 0 | 13 | 17 | 5 | 10 | 17.65% | 2 | 8.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 51.89% | 264 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
16 | Kevin Stenlund | 11 | C/RW | 7 | 1 | 2 | 3 | 1 | 0 | 0 | 2 | 3 | 1 | 3 | 33.33% | 0 | 7.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.16 | 0 | 0 | |
17 | Nico Sturm | 0 | C/LW | 24 | 1 | 2 | 3 | 0 | 0 | 0 | 7 | 23 | 6 | 20 | 4.35% | 1 | 7.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 57.81% | 64 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
18 | Brian Dumoulin | 28 | D | 29 | 0 | 2 | 2 | -1 | 20 | 0 | 36 | 13 | 4 | 10 | 0.00% | 33 | 20.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.07 | 0 | 0 | |
Team Total or Average | 491 | 77 | 147 | 224 | 37 | 161 | 5 | 506 | 947 | 262 | 676 | 8.13% | 231 | 16.84 | 23 | 44 | 67 | 882 | 0 | 0 | 0 | 552 | 14 | 5 | 54.57% | 2547 | 0 | 0 | 0 | 0 | 0.54 | 0 | 8 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Andrei Vasilevskiy | 23 | 12 | 7 | 3 | 0.920 | 2.23 | 1344 | 0 | 2 | 50 | 628 | 0 | 1 | 0 | 0.667 | 3 | 23 | 6 | 3 | 1 | 2 | |
2 | David Rittich | 8 | 3 | 3 | 1 | 0.902 | 2.30 | 417 | 0 | 0 | 16 | 163 | 0 | 1 | 1 | 0.500 | 2 | 6 | 23 | 0 | 0 | 1 | |
Team Total or Average | 31 | 15 | 10 | 4 | 0.917 | 2.25 | 1761 | 0 | 2 | 66 | 791 | 0 | 2 | 1 | 0.600 | 5 | 29 | 29 | 3 | 1 | 3 |
Projected Total Cap Hit | 81,794,614$ |
Projected Cap Space | 1,705,386$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 25,806,946$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Blue Jackets Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Texier | C/LW/RW | 24 | 1,525,000$ | 1,525,000$ | |||||||
Andrei Vasilevskiy | G | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Bo Horvat | C | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ |
Boone Jenner | C/LW | 30 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||||
Brian Dumoulin | D | 32 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||
Damon Severson | D | 29 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |
David Rittich ![]() | G | 31 | 925,000$ | 925,000$ | UFA | ||||||
Devon Toews | D | 29 | 4,450,000$ | 4,450,000$ | 4,450,000$ | UFA | |||||
Erik Gudbranson ![]() | D | 31 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Ivan Barbashev | C/LW/RW | 27 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||
Jack Eichel | C | 27 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | ||||
Jack Roslovic | C/RW | 26 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Janis Moser ![]() | D | 23 | 886,667$ | 886,667$ | |||||||
Kevin Stenlund ![]() | C/RW | 27 | 900,000$ | 900,000$ | UFA | ||||||
Kyle Connor | LW | 26 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||
Michael McLeod | C/RW | 25 | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||||
Nico Sturm ![]() | C/LW | 28 | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | |||||
Rasmus Andersson | D | 27 | 4,450,000$ | 4,450,000$ | 4,450,000$ | UFA | |||||
Sam Reinhart | C/RW | 28 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Yakov Trenin | C/LW | 26 | 1,300,000$ | 1,300,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anders Bjork ![]() | LW/RW | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Andreas Johnsson ![]() | LW | 29 | 800,000$ | 800,000$ | UFA | ||||||
Brayden Pachal ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Calle Rosen ![]() | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
Chase Pearson ![]() | C | 26 | 0$ | ![]() | |||||||
Colten Ellis ![]() | G | 23 | 850,833$ | 850,833$ | RFA | ||||||
Daniel Torgersson ![]() | LW/RW | 21 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Daniil Tarasov ![]() | G | 24 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Dennis Gilbert ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Dmitri Samorukov ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Fabian Wagner ![]() | C | 19 | 858,333$ | 858,333$ | 858,333$ | 858,333$ | RFA | ||||
Jack Studnicka ![]() | C/RW | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Kent Johnson ![]() | C/LW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Kevin Rooney ![]() ![]() | C/LW/RW | 30 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Kirill Kudryavtsev ![]() | D | 19 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Liam Foudy ![]() | C | 23 | 775,000$ | 775,000$ | ![]() | ||||||
Logan Brown ![]() | C | 25 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Louis Domingue ![]() | G | 31 | 800,000$ | 800,000$ | UFA | ||||||
Madison Bowey ![]() | D | 28 | 900,000$ | 900,000$ | UFA | ||||||
Matej Pekar ![]() | LW | 23 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Mathieu Olivier ![]() | RW | 26 | 875,000$ | 875,000$ | 875,000$ | UFA | |||||
Nick Blankenburg ![]() | D | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Reece Newkirk ![]() | C | 22 | 828,333$ | 828,333$ | RFA | ||||||
Samuel Helenius ![]() | C | 21 | 805,833$ | 805,833$ | 805,833$ | 805,833$ | RFA | ||||
Shane Bowers ![]() | RW | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Taro Hirose ![]() | LW | 27 | 850,000$ | 850,000$ | UFA | ||||||
Tomas Hamara ![]() | D | 19 | 831,667$ | 831,667$ | 831,667$ | 831,667$ | RFA | ||||
Tristan Lennox ![]() | G | 21 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Tyler Tullio ![]() | RW | 21 | 823,333$ | 823,333$ | 823,333$ | RFA | |||||
Ville Koivunen ![]() | RW | 20 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Will Butcher ![]() | D | 28 | 800,000$ | 800,000$ | UFA |
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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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1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 32 | 11 | 13 | 6 | 2 | 37 | 10 | 8 | 19 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 26 | 19 | 23 | 7 | 11 | 5 | 0.0% | 3.1% | 94.6% | 97.7 | DULL | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 1 | 2 | 0 | 65 | 21 | 20 | 24 | 0 | 49 | 9 | 18 | 41 | 8 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 50 | 35 | 43 | 15 | 26 | 13 | 42.9% | 4.6% | 85.7% | 90.3 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 7 | 11 | 13 | 0 | 32 | 15 | 8 | 21 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 23 | 15 | 24 | 7 | 12 | 5 | 0.0% | 0.0% | 90.6% | 90.6 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 36 | 15 | 13 | 8 | 0 | 18 | 10 | 4 | 18 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 26 | 18 | 19 | 6 | 13 | 7 | 100.0% | 8.3% | 94.4% | 102.8 | DULL | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 1 | 1 | 1 | 0 | 74 | 20 | 29 | 25 | 0 | 46 | 16 | 4 | 26 | 11 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 48 | 35 | 47 | 13 | 23 | 12 | 50.0% | 4.1% | 93.5% | 97.5 | DULL | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 22 | 10 | 8 | 4 | 0 | 18 | 10 | 8 | 16 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 25 | 17 | 22 | 6 | 12 | 5 | 80.0% | 18.2% | 94.4% | 112.6 | LUCKY | |
7 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 0 | 3 | 0 | 0 | 61 | 18 | 25 | 16 | 5 | 52 | 14 | 6 | 37 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 56 | 41 | 42 | 13 | 26 | 13 | 50.0% | 4.9% | 94.2% | 99.1 | DULL | |
8 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 1 | 0 | 4 | 0 | 67 | 17 | 17 | 30 | 3 | 74 | 21 | 16 | 46 | 11 | 4 | 36.36% | 8 | 1 | 87.50% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 52 | 35 | 44 | 14 | 26 | 14 | 20.0% | 7.5% | 93.2% | 100.7 | DULL | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 1 | 0 | 1 | 4 | 0 | 58 | 24 | 20 | 14 | 0 | 40 | 16 | 10 | 43 | 8 | 2 | 25.00% | 5 | 0 | 100.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 48 | 33 | 47 | 15 | 24 | 11 | 42.9% | 8.6% | 90.0% | 98.6 | Unlucky | |
10 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 2 | 1 | 69 | 23 | 23 | 21 | 2 | 47 | 13 | 10 | 38 | 6 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 51 | 37 | 47 | 13 | 25 | 12 | 60.0% | 8.7% | 87.2% | 95.9 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 34 | 10 | 13 | 11 | 0 | 21 | 4 | 4 | 16 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 26 | 18 | 19 | 7 | 13 | 7 | 66.7% | 8.8% | 95.2% | 104.1 | DULL | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 4 | 0 | 0 | 35 | 11 | 12 | 12 | 0 | 34 | 13 | 6 | 20 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 23 | 15 | 23 | 7 | 12 | 6 | 75.0% | 14.3% | 97.1% | 111.3 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 40 | 14 | 16 | 10 | 0 | 34 | 4 | 6 | 12 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 25 | 18 | 22 | 6 | 12 | 5 | 20.0% | 7.5% | 88.2% | 95.7 | Unlucky | |
14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 0 | 2 | 1 | 41 | 18 | 12 | 7 | 4 | 35 | 10 | 4 | 21 | 6 | 3 | 50.00% | 2 | 1 | 50.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 28 | 19 | 22 | 7 | 13 | 7 | 42.9% | 14.6% | 85.7% | 100.3 | FUN | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 51 | 15 | 22 | 14 | 0 | 26 | 4 | 0 | 18 | 5 | 1 | 20.00% | 0 | 0 | 0.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 29 | 22 | 17 | 6 | 12 | 6 | 83.3% | 11.8% | 96.2% | 107.9 | LUCKY | |
16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 55 | 25 | 17 | 13 | 0 | 55 | 13 | 12 | 41 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 42 | 28 | 51 | 15 | 25 | 12 | 42.9% | 7.3% | 89.1% | 96.4 | Unlucky | |
17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 10 | 15 | 0 | 0 | 4 | 1 | 0 | 0 | 25 | 11 | 9 | 5 | 3 | 36 | 10 | 9 | 14 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 25 | 18 | 26 | 7 | 13 | 6 | 44.4% | 20.0% | 83.3% | 103.3 | FUN | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 37 | 20 | 4 | 13 | 0 | 42 | 7 | 10 | 22 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 23 | 16 | 24 | 6 | 11 | 6 | 100.0% | 5.4% | 97.6% | 103.0 | DULL | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 1 | 0 | 24 | 4 | 12 | 8 | 0 | 25 | 7 | 6 | 25 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 25 | 18 | 22 | 6 | 11 | 6 | 75.0% | 20.8% | 92.0% | 112.8 | LUCKY | |
20 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 1 | 1 | 91 | 22 | 35 | 30 | 4 | 35 | 10 | 8 | 25 | 13 | 2 | 15.38% | 3 | 1 | 66.67% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 60 | 45 | 37 | 13 | 24 | 13 | 57.1% | 6.6% | 88.6% | 95.2 | Unlucky | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 27 | 12 | 4 | 11 | 0 | 36 | 13 | 10 | 17 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 24 | 17 | 22 | 7 | 12 | 6 | 66.7% | 7.4% | 91.7% | 99.1 | DULL | |
_Vs Division | 11 | 3 | 6 | 0 | 1 | 0 | 0 | 1 | 21 | 26 | -5 | 9 | 0.409 | 21 | 41 | 62 | 1 | 1 | 4 | 9 | 7 | 1 | 349 | 111 | 120 | 114 | 7 | 280 | 90 | 64 | 196 | 33 | 0 | 0.00% | 28 | 7 | 75.00% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 279 | 200 | 250 | 77 | 139 | 69 | 52.5% | 6.0% | 90.7% | 96.7 | Unlucky | |
_Vs Conference | 20 | 7 | 10 | 0 | 1 | 1 | 0 | 1 | 43 | 47 | -4 | 18 | 0.450 | 43 | 84 | 127 | 1 | 2 | 11 | 13 | 18 | 1 | 642 | 226 | 207 | 202 | 10 | 543 | 161 | 122 | 378 | 70 | 10 | 14.29% | 57 | 12 | 78.95% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 499 | 352 | 460 | 142 | 252 | 127 | 48.5% | 6.7% | 91.3% | 98.0 | DULL | |
_Since Last GM Reset | 29 | 12 | 10 | 0 | 3 | 2 | 0 | 2 | 80 | 69 | 11 | 34 | 0.586 | 80 | 150 | 230 | 1 | 2 | 28 | 25 | 24 | 3 | 975 | 328 | 335 | 295 | 23 | 792 | 229 | 167 | 536 | 110 | 23 | 20.91% | 76 | 17 | 77.63% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 745 | 530 | 653 | 206 | 365 | 186 | 52.3% | 8.2% | 91.3% | 99.5 | DULL | |
Total | 29 | 12 | 10 | 0 | 3 | 2 | 0 | 2 | 80 | 69 | 11 | 34 | 0.586 | 80 | 150 | 230 | 1 | 2 | 28 | 25 | 24 | 3 | 975 | 328 | 335 | 295 | 23 | 792 | 229 | 167 | 536 | 110 | 23 | 20.91% | 76 | 17 | 77.63% | 0 | 612 | 1103 | 55.49% | 520 | 954 | 54.51% | 231 | 418 | 55.26% | 745 | 530 | 653 | 206 | 365 | 186 | 52.3% | 8.2% | 91.3% | 99.5 | DULL |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1103 |
Neutral Zone Start | 418 |
Defensive Zone Start | 954 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1363 |
Faceoffs Lost | 1112 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 22.9 | 20.31 |
3rd Period | 33.0 | 30.68 |
Overtime | 33.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 56 |
---|---|
PP Goal | 23 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 8 | 7 |
Lost | 5 | 5 |
Overtime Lost | 3 | 1 |
PP Attempt | 110 |
---|---|
PP Goal | 23 |
PK Attempt | 76 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 33.6 |
Shots Against | 27.3 |
Goals For | 2.8 |
Goals Against | 2.4 |
Hits | 18.5 |
Shots Blocked | 7.9 |
Pim | 5.8 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-12 | @ | Flyers5,Blue Jackets3 | RECAP | |||||||||||
2023-10-14 | @ | Rangers1,Blue Jackets2 | RECAP | |||||||||||
2023-10-16 | @ | Red Wings4,Blue Jackets3 (OT) | RECAP | |||||||||||
2023-10-20 | @ | Flames2,Blue Jackets1 (OT) | RECAP | |||||||||||
2023-10-21 | @ | Blue Jackets3,Wild1 | RECAP | |||||||||||
2023-10-24 | @ | Ducks2,Blue Jackets5 | RECAP | |||||||||||
2023-10-26 | @ | Blue Jackets3,Canadiens4 | RECAP | |||||||||||
2023-10-28 | @ | Islanders3,Blue Jackets0 | RECAP | |||||||||||
2023-10-30 | @ | Blue Jackets3,Stars2 | RECAP | |||||||||||
2023-11-02 | @ | Lightning4,Blue Jackets3 | RECAP | |||||||||||
2023-11-04 | @ | Blue Jackets2,Capitals3 | RECAP | |||||||||||
2023-11-06 | @ | Blue Jackets2,Panthers1 | RECAP | |||||||||||
2023-11-09 | @ | Stars2,Blue Jackets3 (OT) | RECAP | |||||||||||
2023-11-11 | @ | Blue Jackets2,Red Wings1 | RECAP | |||||||||||
2023-11-12 | @ | Blue Jackets1,Rangers2 (SO) | RECAP | |||||||||||
2023-11-14 | @ | Penguins3,Blue Jackets2 | RECAP | |||||||||||
2023-11-16 | @ | Coyotes1,Blue Jackets6 | RECAP | |||||||||||
2023-11-18 | @ | Blue Jackets4,Capitals3 (OT) | RECAP | |||||||||||
2023-11-19 | @ | Blue Jackets0,Flyers2 | RECAP | |||||||||||
2023-11-22 | @ | Blackhawks6,Blue Jackets5 (SO) | RECAP | |||||||||||
2023-11-24 | @ | Blue Jackets0,Devils3 | RECAP | |||||||||||
2023-11-26 | @ | Blue Jackets4,Hurricanes1 | RECAP | |||||||||||
2023-11-27 | @ | Bruins4,Blue Jackets3 | RECAP | |||||||||||
2023-11-29 | @ | Canadiens0,Blue Jackets2 | RECAP | |||||||||||
2023-12-01 | @ | Senators1,Blue Jackets3 | RECAP | |||||||||||
2023-12-03 | @ | Blue Jackets1,Bruins2 | RECAP | |||||||||||
2023-12-05 | @ | Kings1,Blue Jackets5 | RECAP | |||||||||||
2023-12-07 | @ | Blue Jackets3,Islanders0 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,436,667$ | 0$ | 81,794,614$ | 2,063,333$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Nationwide Arena | |
City | Columbus | ||
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 | 89867 | 76273 | 29745 | 60787 | 15292 |
Attendance PCT | 93.61% | 95.34% | 92.95% | 94.98% | 95.58% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
25 | 16998 - 94.43% | 1,498,612$ | 23,977,790$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,436,667$ | 81,436,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
26,119,459$ | 424,149$ | 25,806,946$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
37,465,297$ | 132 | 429,358$ | 56,675,256$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
59,080,146$ | 81,436,667$ | 28,435,555$ | 6,820,706$ |
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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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2024 | ||||||||
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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. |
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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. |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aaron Huglen | 2019 | 101 | |||
Alex Bump | 2022 | 153 | |||
Alex Cotton | 2020 | 58 | |||
Alexis Gravel | 6.5 - 6.5 | ||||
Atte Tolvanen | |||||
Beau Akey | 2023 | 48 | |||
Brennan Ali | 2022 | 207 | |||
Brock Gould | 2020 | 199 | |||
Caden Price | 2023 | 52 | |||
Carter Sotheran | 2023 | 118 | |||
Charlie Desroches | 2020 | 156 | |||
Chase Cheslock | 2023 | 148 | |||
Chris Martenet | |||||
Croix Evingtson | |||||
Dans Locmelis | 2022 | 131 | |||
Dmitri Buchelnikov | 2022 | 67 | |||
Dominic Basse | 2019 | 178 | |||
Easton Cowan | 2023 | 65 | |||
Eemeli Rasanen | 3.0 - 3.0 | ||||
Ethan Hay | 2023 | 214 | |||
Frantisek Dej | 2023 | 223 | |||
Garrett Brown | 2022 | 111 | |||
Gunnarwolfe Fontaine | 2020 | 178 | |||
Jack Devine | 2022 | 163 | |||
Jacob Dion | 2020 | 133 | |||
Jacob Holmes | 2021 | 157 | |||
Jaroslav Chmelar | 2021 | 180 | |||
Jason Shaugabay | 2023 | 105 | |||
Kalan Lind | 2023 | 55 | |||
Kienan Draper | |||||
Luke Devlin | 2022 | 191 | |||
Mike Koster | 2019 | 139 | |||
Nicholas Capone | |||||
Nikita Susuyev | 2023 | 180 | |||
Robert Orr | 2021 | 130 | |||
Ryan Francis | 2020 | 124 | |||
Ryan Healey | 2022 | 124 | |||
Ryder Korczak | 2021 | 58 | |||
Sandis Vilmanis | 2022 | 169 | |||
Sasha Mutala | 2019 | 146 | |||
Sean Tschigerl | 2021 | 142 | |||
Ty Young | 2022 | 155 | |||
Tyler Peddle | 2023 | 204 | |||
Viljami Marjala | 2021 | 156 |
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