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Full Scoreboard »» |
St. Louis Blues 27-17-8, 62pts · 6th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 69 | 33 | 91 | 90 | 84 | 91 | 90 | 85 | 88 | 76 | 99 | 83 | 92 | 71 | 81 | 0 | 55 | 94 | 27 | 13,000,000$/8yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 33 | 89 | 87 | 79 | 89 | 90 | 83 | 61 | 85 | 85 | 69 | 84 | 73 | 72 | 0 | 55 | 91 | 28 | 9,000,000$/8yrs | |||
![]() | 0 | C | 100.00 | 57 | 33 | 92 | 74 | 81 | 89 | 90 | 75 | 91 | 78 | 75 | 81 | 75 | 82 | 99 | 0 | 55 | 86 | 34 | 4,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 32 | 88 | 73 | 73 | 86 | 90 | 73 | 58 | 69 | 78 | 76 | 76 | 75 | 74 | 0 | 55 | 83 | 29 | 3,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 33 | 89 | 76 | 85 | 80 | 76 | 73 | 61 | 64 | 89 | 62 | 81 | 70 | 69 | 0 | 55 | 83 | 26 | 8,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 68 | 35 | 68 | 71 | 81 | 84 | 89 | 72 | 83 | 72 | 73 | 59 | 72 | 69 | 66 | 0 | 55 | 80 | 26 | 7,250,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 32 | 88 | 73 | 72 | 84 | 83 | 69 | 79 | 70 | 73 | 60 | 71 | 64 | 63 | 0 | 55 | 79 | 24 | 2,900,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 33 | 93 | 70 | 79 | 82 | 86 | 67 | 77 | 73 | 64 | 70 | 65 | 71 | 71 | 0 | 56 | 78 | 28 | 4,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 32 | 85 | 64 | 71 | 83 | 88 | 67 | 62 | 70 | 67 | 58 | 67 | 77 | 76 | 0 | 55 | 77 | 31 | 3,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 40 | 76 | 56 | 75 | 72 | 84 | 71 | 85 | 60 | 61 | 74 | 60 | 82 | 80 | 0 | 65 | 75 | 35 | 775,000$/1yrs | |||
![]() | 64 | LW/RW | 100.00 | 85 | 49 | 73 | 59 | 79 | 78 | 90 | 61 | 58 | 62 | 62 | 75 | 61 | 73 | 71 | 0 | 52 | 75 | 29 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 74 | 37 | 80 | 55 | 73 | 75 | 88 | 56 | 85 | 53 | 60 | 76 | 58 | 84 | 82 | 0 | 58 | 72 | 35 | 800,000$/1yrs | |||
![]() | 0 | D | 99.00 | 65 | 33 | 92 | 71 | 76 | 95 | 90 | 73 | 30 | 75 | 65 | 87 | 69 | 77 | 76 | 0 | 51 | 86 | 30 | 4,450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 38 | 68 | 76 | 77 | 95 | 87 | 69 | 30 | 81 | 68 | 65 | 69 | 72 | 69 | 0 | 52 | 85 | 28 | 7,650,000$/8yrs | |||
![]() | 9 | D | 100.00 | 65 | 33 | 91 | 65 | 79 | 93 | 90 | 69 | 30 | 70 | 58 | 85 | 63 | 71 | 81 | 0 | 55 | 82 | 28 | 7,125,000$/6yrs | |||
![]() | 0 | D | 100.00 | 71 | 33 | 86 | 70 | 76 | 87 | 85 | 66 | 30 | 72 | 58 | 69 | 62 | 59 | 58 | 0 | 55 | 79 | 21 | 918,333$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 33 | 89 | 63 | 76 | 88 | 83 | 64 | 30 | 71 | 57 | 70 | 60 | 67 | 66 | 0 | 55 | 78 | 25 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 47 | 73 | 59 | 85 | 90 | 90 | 56 | 30 | 63 | 55 | 73 | 56 | 71 | 68 | 0 | 60 | 75 | 27 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.94 | 68 | 36 | 84 | 70 | 78 | 86 | 87 | 69 | 59 | 70 | 69 | 72 | 69 | 73 | 73 | 0 | 56 | 81 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 95 | 90 | 79 | 84 | 95 | 81 | 93 | 91 | 92 | 90 | 93 | 73 | 77 | 0 | 70 | 92 | 27 | 775,000$/1yrs |
![]() | 0 | 100.00 | 74 | 95 | 81 | 73 | 80 | 72 | 81 | 92 | 81 | 92 | 81 | 67 | 71 | 0 | 63 | 85 | 25 | 1,300,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 85 | 93 | 80 | 79 | 88 | 77 | 87 | 92 | 87 | 91 | 87 | 70 | 74 | 0 | 67 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Lindy Ruff | 76 | 87 | 90 | 91 | 99 | 90 | 75 | CAN | 63 | 5 | 1,000,000$ |
General Manager | Samuel Moisan |
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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 | Auston Matthews | 0 | C | 52 | 28 | 24 | 52 | 3 | 18 | 0 | 99 | 258 | 63 | 192 | 10.85% | 18 | 22.04 | 6 | 9 | 15 | 208 | 2 | 0 | 2 | 70 | 5 | 0 | 52.82% | 1577 | 0 | 0 | 1 | 1 | 0.91 | 3 | 8 | |
2 | William Nylander | 0 | LW/RW | 52 | 19 | 32 | 51 | 0 | 20 | 0 | 37 | 247 | 51 | 178 | 7.69% | 11 | 21.27 | 4 | 11 | 15 | 208 | 0 | 1 | 1 | 19 | 4 | 3 | 44.44% | 90 | 0 | 0 | 1 | 1 | 0.92 | 3 | 8 | |
3 | Ivan Provorov | 9 | D | 52 | 7 | 28 | 35 | 1 | 16 | 0 | 38 | 86 | 27 | 61 | 8.14% | 87 | 22.26 | 4 | 6 | 10 | 177 | 0 | 2 | 2 | 129 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
4 | Ryan O'Reilly | 0 | C | 52 | 16 | 19 | 35 | -2 | 6 | 0 | 27 | 189 | 56 | 150 | 8.47% | 20 | 20.87 | 6 | 9 | 15 | 179 | 0 | 1 | 1 | 142 | 2 | 2 | 54.79% | 1473 | 0 | 0 | 0 | 0 | 0.65 | 2 | 7 | |
5 | Devon Toews | 0 | D | 51 | 6 | 26 | 32 | 1 | 10 | 0 | 43 | 106 | 37 | 44 | 5.66% | 79 | 24.98 | 3 | 7 | 10 | 206 | 0 | 1 | 1 | 132 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
6 | Trevor Moore | 0 | LW/RW | 52 | 13 | 14 | 27 | 0 | 10 | 0 | 73 | 160 | 36 | 140 | 8.13% | 8 | 20.25 | 4 | 6 | 10 | 176 | 1 | 0 | 1 | 141 | 1 | 1 | 38.67% | 75 | 0 | 0 | 0 | 0 | 0.51 | 1 | 3 | |
7 | Patrik Laine | 0 | LW/RW | 52 | 7 | 16 | 23 | 5 | 20 | 0 | 50 | 135 | 40 | 66 | 5.19% | 6 | 19.93 | 2 | 1 | 3 | 207 | 0 | 0 | 0 | 9 | 1 | 0 | 37.50% | 88 | 0 | 0 | 0 | 0 | 0.44 | 0 | 4 | |
8 | Vince Dunn | 0 | D | 52 | 3 | 17 | 20 | -6 | 89 | 5 | 121 | 45 | 23 | 30 | 6.67% | 55 | 23.59 | 2 | 6 | 8 | 181 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 1 | |
9 | Timothy Liljegren | 0 | D | 52 | 3 | 15 | 18 | 3 | 30 | 0 | 81 | 25 | 12 | 29 | 12.00% | 47 | 17.78 | 2 | 2 | 4 | 75 | 0 | 0 | 0 | 91 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
10 | Alex Newhook | 0 | C/LW/RW | 52 | 8 | 10 | 18 | -9 | 8 | 0 | 42 | 95 | 22 | 50 | 8.42% | 2 | 10.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 50.85% | 468 | 0 | 0 | 0 | 0 | 0.68 | 2 | 3 | |
11 | Jack Roslovic | 0 | C/RW | 52 | 3 | 10 | 13 | -8 | 11 | 5 | 18 | 87 | 25 | 73 | 3.45% | 7 | 10.07 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 48.17% | 164 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
12 | Evan Rodrigues | 0 | C/LW/RW | 52 | 5 | 7 | 12 | -8 | 14 | 0 | 58 | 57 | 9 | 39 | 8.77% | 3 | 11.02 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 32 | 2 | 0 | 48.28% | 58 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
13 | Pierre-Luc Dubois | 0 | C/LW/RW | 52 | 5 | 7 | 12 | -5 | 24 | 0 | 121 | 83 | 29 | 76 | 6.02% | 4 | 17.50 | 2 | 3 | 5 | 179 | 0 | 0 | 0 | 0 | 1 | 1 | 56.06% | 66 | 0 | 0 | 0 | 0 | 0.26 | 1 | 3 | |
14 | Pavel Mintyukov | 0 | D | 52 | 2 | 10 | 12 | -5 | 22 | 0 | 87 | 41 | 16 | 24 | 4.88% | 42 | 18.04 | 0 | 3 | 3 | 133 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
15 | Riley Nash | 0 | C/LW/RW | 41 | 5 | 6 | 11 | 7 | 13 | 5 | 9 | 45 | 11 | 43 | 11.11% | 4 | 7.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 1 | 0 | 52.71% | 351 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
16 | Cole Smith | 64 | LW/RW | 52 | 4 | 3 | 7 | 4 | 21 | 5 | 62 | 49 | 9 | 35 | 8.16% | 3 | 8.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 2 | 0 | 30.43% | 23 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
17 | Johnathan Kovacevic | 0 | D | 52 | 1 | 4 | 5 | 0 | 59 | 15 | 78 | 19 | 12 | 20 | 5.26% | 58 | 14.58 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 96 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
18 | Luke Glendening | 0 | C/LW/RW | 51 | 2 | 1 | 3 | 5 | 12 | 0 | 12 | 35 | 9 | 35 | 5.71% | 4 | 7.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 59.48% | 153 | 0 | 0 | 1 | 0 | 0.15 | 0 | 0 | |
Team Total or Average | 923 | 137 | 249 | 386 | -14 | 403 | 35 | 1056 | 1762 | 487 | 1285 | 7.78% | 458 | 16.63 | 35 | 63 | 98 | 1942 | 3 | 5 | 8 | 1086 | 23 | 9 | 52.49% | 4586 | 0 | 0 | 3 | 2 | 0.50 | 12 | 37 |
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 | Samuel Ersson | 27 | 15 | 5 | 6 | 0.918 | 2.40 | 1575 | 0 | 2 | 63 | 768 | 0 | 2 | 1 | 0.667 | 27 | 25 | 27 | 2 | 3 | 1 | |
2 | Logan Thompson | 26 | 12 | 9 | 2 | 0.913 | 2.71 | 1483 | 0 | 0 | 67 | 767 | 0 | 1 | 2 | 0.833 | 6 | 24 | 28 | 1 | 0 | 0 | |
Team Total or Average | 53 | 27 | 14 | 8 | 0.915 | 2.55 | 3058 | 0 | 2 | 130 | 1535 | 0 | 3 | 3 | 0.697 | 33 | 49 | 55 | 3 | 3 | 1 |
Projected Total Cap Hit | 85,889,440$ |
Projected Cap Space | 2,110,560$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 54,045,715$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Blues Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Newhook ![]() | C/LW/RW | 24 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | |||||
Auston Matthews ![]() | C | 27 | 13,000,000$ | 13,000,000$ | 13,000,000$ | 13,000,000$ | 13,000,000$ | 13,000,000$ | 13,000,000$ | 13,000,000$ | 13,000,000$ |
Cole Smith ![]() | LW/RW | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Devon Toews ![]() | D | 30 | 4,450,000$ | 4,450,000$ | UFA | ||||||
Evan Rodrigues ![]() | C/LW/RW | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Ivan Provorov ![]() | D | 28 | 7,125,000$ | 7,125,000$ | 7,125,000$ | 7,125,000$ | 7,125,000$ | 7,125,000$ | 7,125,000$ | UFA | |
Jack Roslovic ![]() | C/RW | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Johnathan Kovacevic ![]() | D | 27 | 775,000$ | 775,000$ | |||||||
Logan Thompson ![]() | G | 27 | 775,000$ | 775,000$ | UFA | ||||||
Luke Glendening ![]() | C/LW/RW | 35 | 800,000$ | 800,000$ | UFA | ||||||
Patrik Laine ![]() | LW/RW | 26 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Pavel Mintyukov ![]() | D | 21 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Pierre-Luc Dubois ![]() | C/LW/RW | 26 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | ||||
Riley Nash ![]() | C/LW/RW | 35 | 775,000$ | 775,000$ | UFA | ||||||
Ryan O'Reilly ![]() | C | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Samuel Ersson ![]() | G | 25 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Timothy Liljegren ![]() | D | 25 | 3,000,000$ | 3,000,000$ | |||||||
Trevor Moore ![]() | LW/RW | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Vince Dunn ![]() | D | 28 | 7,650,000$ | 7,650,000$ | 7,650,000$ | 7,650,000$ | 7,650,000$ | 7,650,000$ | 7,650,000$ | 7,650,000$ | 7,650,000$ |
William Nylander ![]() | LW/RW | 28 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andreas Englund ![]() | D | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Chris Wagner ![]() | C/LW/RW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Clark Bishop ![]() | C | 28 | 800,000$ | 800,000$ | UFA | ||||||
Colton Point ![]() | G | 26 | 0$ | ![]() | |||||||
CĂ©dric Desruisseaux ![]() | C | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Emil Andrae ![]() | D | 22 | 903,333$ | 903,333$ | 903,333$ | RFA | |||||
Filip Chlapik ![]() | C | 27 | 0$ | UFA | |||||||
Jay O'Brien ![]() | C | 25 | 0$ | ![]() | |||||||
Jayden Halbgewachs ![]() | C/LW | 27 | 0$ | UFA | |||||||
Jeremy Groleau ![]() | D | 25 | 0$ | ![]() | |||||||
Joel Hanley ![]() | D | 33 | 787,500$ | 787,500$ | UFA | ||||||
John Stevens ![]() | C | 30 | 775,000$ | 775,000$ | UFA | ||||||
Justin Almeida ![]() | LW | 26 | 0$ | ![]() | |||||||
Kale Clague ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Luke Philp ![]() | C | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Marcus Hogberg ![]() | G | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Michael Houser ![]() | G | 32 | 800,000$ | 800,000$ | UFA | ||||||
Michael Krutil ![]() | D | 22 | 0$ | RFA | |||||||
Nick DeSimone ![]() | D | 30 | 800,000$ | 800,000$ | UFA | ||||||
Nicolas Mattinen ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Patrick Brown ![]() | C/RW | 32 | 850,000$ | 850,000$ | UFA | ||||||
Paul LaDue ![]() | D | 32 | 800,000$ | 800,000$ | UFA | ||||||
Phillip Di Giuseppe ![]() | RW | 31 | 850,000$ | 850,000$ | UFA | ||||||
Riley Duran ![]() | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Robert Mastrosimone ![]() | C/LW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Ryan Shea ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Samuel Hlavaj ![]() | G | 23 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Samuel Laberge ![]() | LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Seth Griffith ![]() | C | 32 | 780,000$ | 780,000$ | UFA | ||||||
Tanner Laczynski ![]() | C | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Travis Barron ![]() | LW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Trevor Lewis ![]() | RW | 38 | 800,000$ | 800,000$ | UFA | ||||||
William Reilly ![]() | D | 27 | 775,000$ | 775,000$ | ![]() |
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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 |
# | 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 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 3 | 0.500 | 7 | 13 | 20 | 0 | 0 | 1 | 3 | 3 | 0 | 85 | 29 | 28 | 28 | 0 | 100 | 35 | 22 | 68 | 16 | 2 | 12.50% | 11 | 5 | 54.55% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 73 | 50 | 69 | 23 | 38 | 19 | 50.0% | 8.2% | 90.0% | 98.2 | Unlucky | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 1 | 0 | 65 | 23 | 25 | 17 | 0 | 74 | 22 | 14 | 50 | 7 | 2 | 28.57% | 7 | 0 | 100.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 46 | 31 | 48 | 14 | 25 | 12 | 30.0% | 7.7% | 90.5% | 98.2 | Unlucky | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 3 | 0 | 69 | 21 | 24 | 24 | 0 | 47 | 16 | 18 | 40 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 51 | 35 | 42 | 14 | 25 | 13 | 55.6% | 10.1% | 89.4% | 99.5 | FUN | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 71 | 19 | 32 | 20 | 0 | 62 | 12 | 24 | 37 | 5 | 1 | 20.00% | 11 | 2 | 81.82% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 49 | 35 | 44 | 14 | 26 | 12 | 20.0% | 2.8% | 90.3% | 93.1 | Unlucky | |
5 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 88 | 25 | 16 | 44 | 3 | 56 | 13 | 8 | 43 | 12 | 1 | 8.33% | 4 | 2 | 50.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 53 | 41 | 43 | 13 | 24 | 12 | 45.5% | 6.8% | 85.7% | 92.5 | Unlucky | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 55 | 13 | 30 | 12 | 0 | 60 | 14 | 37 | 50 | 7 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 48 | 32 | 46 | 13 | 24 | 13 | 28.6% | 3.6% | 88.3% | 92.0 | Unlucky | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 29 | 10 | 10 | 9 | 0 | 23 | 10 | 14 | 17 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 23 | 15 | 23 | 8 | 13 | 6 | 0.0% | 3.4% | 87.0% | 90.4 | Unlucky | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 7 | 13 | 0 | 1 | 1 | 3 | 1 | 3 | 68 | 32 | 16 | 18 | 9 | 51 | 19 | 15 | 38 | 11 | 2 | 18.18% | 5 | 0 | 100.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 54 | 39 | 44 | 14 | 25 | 13 | 57.1% | 8.8% | 94.1% | 102.9 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 28 | 14 | 12 | 2 | 0 | 23 | 3 | 8 | 18 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 23 | 15 | 23 | 8 | 13 | 6 | 0.0% | 0.0% | 91.3% | 91.3 | DULL | |
10 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 1 | 1 | 35 | 13 | 11 | 7 | 4 | 26 | 12 | 6 | 20 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 27 | 20 | 24 | 8 | 12 | 6 | 57.1% | 11.4% | 88.5% | 99.9 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 14 | 9 | 11 | 0 | 38 | 14 | 10 | 17 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 24 | 18 | 24 | 6 | 11 | 5 | 33.3% | 2.9% | 92.1% | 95.0 | DULL | |
12 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 2 | 1 | 91 | 27 | 26 | 37 | 1 | 65 | 30 | 50 | 55 | 13 | 3 | 23.08% | 12 | 1 | 91.67% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 78 | 55 | 67 | 21 | 34 | 18 | 37.5% | 6.6% | 90.8% | 97.4 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 3 | 0 | 63 | 25 | 16 | 22 | 0 | 67 | 21 | 27 | 38 | 10 | 2 | 20.00% | 10 | 1 | 90.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 52 | 37 | 43 | 14 | 24 | 12 | 50.0% | 11.1% | 91.0% | 102.2 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 39 | 14 | 12 | 13 | 0 | 24 | 7 | 8 | 18 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 27 | 20 | 18 | 7 | 13 | 7 | 80.0% | 10.3% | 91.7% | 101.9 | LUCKY | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 4 | 2 | 0 | 0 | 74 | 19 | 23 | 32 | 0 | 53 | 21 | 12 | 43 | 13 | 1 | 7.69% | 5 | 2 | 60.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 53 | 38 | 42 | 14 | 23 | 12 | 83.3% | 8.1% | 94.3% | 102.4 | DULL | |
16 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 1 | 45 | 12 | 15 | 17 | 4 | 26 | 9 | 8 | 19 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 27 | 19 | 23 | 7 | 14 | 7 | 40.0% | 6.7% | 84.6% | 91.3 | Unlucky | |
17 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 1 | 3 | 4 | 1 | 61 | 18 | 20 | 22 | 4 | 74 | 29 | 12 | 45 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 50 | 35 | 48 | 15 | 26 | 13 | 58.3% | 14.8% | 91.9% | 106.6 | LUCKY | |
18 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 3 | 1 | 2 | 1 | 68 | 24 | 18 | 25 | 4 | 57 | 15 | 20 | 43 | 9 | 1 | 11.11% | 9 | 2 | 77.78% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 53 | 37 | 45 | 14 | 26 | 13 | 66.7% | 10.3% | 91.2% | 101.5 | LUCKY | |
19 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 6 | 10 | 0 | 1 | 1 | 1 | 1 | 1 | 57 | 17 | 17 | 17 | 15 | 65 | 23 | 10 | 42 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 50 | 35 | 51 | 15 | 27 | 13 | 50.0% | 7.0% | 93.8% | 100.9 | DULL | |
20 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 1 | 1 | 32 | 11 | 9 | 9 | 3 | 29 | 7 | 2 | 11 | 6 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 27 | 19 | 20 | 6 | 13 | 7 | 75.0% | 9.4% | 93.1% | 102.5 | LUCKY | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 37 | 14 | 12 | 11 | 0 | 24 | 4 | 4 | 22 | 8 | 2 | 25.00% | 2 | 0 | 100.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 25 | 18 | 22 | 7 | 12 | 6 | 60.0% | 13.5% | 91.7% | 105.2 | LUCKY | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 59 | 20 | 17 | 22 | 0 | 86 | 22 | 8 | 36 | 12 | 1 | 8.33% | 3 | 2 | 33.33% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 46 | 32 | 48 | 14 | 24 | 12 | 40.0% | 8.5% | 90.7% | 99.2 | Unlucky | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 2 | 3 | 0 | 0 | 57 | 19 | 21 | 17 | 0 | 46 | 12 | 10 | 46 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 56 | 40 | 37 | 13 | 25 | 13 | 83.3% | 8.8% | 97.8% | 106.6 | DULL | |
24 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 3 | 47 | 11 | 12 | 21 | 11 | 28 | 7 | 2 | 13 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 26 | 19 | 26 | 7 | 12 | 5 | 33.3% | 2.1% | 92.9% | 95.0 | DULL | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 63 | 23 | 15 | 25 | 0 | 51 | 13 | 10 | 48 | 8 | 2 | 25.00% | 3 | 2 | 33.33% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 47 | 33 | 49 | 13 | 23 | 11 | 66.7% | 6.3% | 94.1% | 100.5 | DULL | |
26 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 9 | -2 | 1 | 0.250 | 7 | 11 | 18 | 0 | 0 | 2 | 2 | 3 | 2 | 75 | 21 | 31 | 23 | 4 | 76 | 15 | 12 | 30 | 8 | 2 | 25.00% | 6 | 0 | 100.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 52 | 37 | 47 | 14 | 25 | 13 | 35.7% | 9.3% | 88.2% | 97.5 | FUN | |
27 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.500 | 7 | 14 | 21 | 0 | 0 | 1 | 3 | 3 | 0 | 102 | 21 | 38 | 43 | 0 | 93 | 23 | 18 | 76 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 1 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 70 | 48 | 72 | 22 | 39 | 18 | 50.0% | 6.9% | 92.5% | 99.3 | DULL | |
28 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 11 | -1 | 3 | 0.500 | 10 | 18 | 28 | 0 | 0 | 3 | 3 | 4 | 0 | 128 | 40 | 40 | 41 | 7 | 89 | 24 | 12 | 57 | 17 | 4 | 23.53% | 5 | 2 | 60.00% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 82 | 60 | 65 | 21 | 36 | 19 | 40.0% | 7.8% | 87.6% | 95.5 | Unlucky | |
29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 3 | 3 | 1 | 0 | 43 | 9 | 18 | 16 | 0 | 31 | 9 | 8 | 19 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 1 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 24 | 17 | 22 | 6 | 13 | 7 | 62.5% | 16.3% | 87.1% | 103.4 | FUN | |
_Vs Division | 12 | 6 | 3 | 0 | 2 | 0 | 1 | 0 | 32 | 23 | 9 | 18 | 0.750 | 32 | 57 | 89 | 1 | 1 | 9 | 10 | 10 | 3 | 372 | 122 | 113 | 132 | 8 | 312 | 108 | 106 | 240 | 47 | 8 | 17.02% | 36 | 7 | 80.56% | 0 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 310 | 219 | 265 | 86 | 150 | 77 | 60.0% | 8.6% | 92.6% | 101.2 | DULL | |
_Vs Conference | 26 | 11 | 7 | 0 | 2 | 3 | 1 | 2 | 74 | 67 | 7 | 33 | 0.635 | 74 | 136 | 210 | 1 | 1 | 20 | 26 | 25 | 7 | 885 | 269 | 280 | 320 | 30 | 746 | 236 | 203 | 530 | 110 | 20 | 18.18% | 78 | 18 | 76.92% | 2 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 667 | 471 | 587 | 188 | 328 | 167 | 52.4% | 8.4% | 91.0% | 99.4 | Unlucky | |
_Since Last GM Reset | 52 | 20 | 17 | 0 | 3 | 4 | 4 | 4 | 141 | 142 | -1 | 62 | 0.596 | 141 | 249 | 390 | 2 | 3 | 44 | 49 | 41 | 15 | 1768 | 558 | 573 | 605 | 69 | 1544 | 461 | 409 | 1059 | 226 | 35 | 15.49% | 163 | 32 | 80.37% | 3 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 1329 | 940 | 1185 | 380 | 658 | 334 | 49.1% | 8.0% | 90.8% | 98.8 | Unlucky | |
Total | 52 | 20 | 17 | 0 | 3 | 4 | 4 | 4 | 141 | 142 | -1 | 62 | 0.596 | 141 | 249 | 390 | 2 | 3 | 44 | 49 | 41 | 15 | 1768 | 558 | 573 | 605 | 69 | 1544 | 461 | 409 | 1059 | 226 | 35 | 15.49% | 163 | 32 | 80.37% | 3 | 1038 | 1952 | 53.18% | 924 | 1765 | 52.35% | 449 | 802 | 55.99% | 1329 | 940 | 1185 | 380 | 658 | 334 | 49.1% | 8.0% | 90.8% | 98.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1952 |
Neutral Zone Start | 802 |
Defensive Zone Start | 1765 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2411 |
Faceoffs Lost | 2108 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.7 | 9.57 |
2nd Period | 21.8 | 20.31 |
3rd Period | 33.4 | 30.68 |
Overtime | 34.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 101 |
---|---|
PP Goal | 35 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 15 | 12 |
Lost | 6 | 11 |
Overtime Lost | 4 | 4 |
PP Attempt | 226 |
---|---|
PP Goal | 35 |
PK Attempt | 163 |
PK Goal Against | 32 |
Home | |
---|---|
Shots For | 34.0 |
Shots Against | 29.7 |
Goals For | 2.7 |
Goals Against | 2.7 |
Hits | 20.4 |
Shots Blocked | 8.9 |
Pim | 7.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-10 | @ | Blues7,Kraken4 | RECAP | |||||||||||
2024-10-12 | @ | Blues2,Sharks3 | RECAP | |||||||||||
2024-10-13 | @ | Blues3,Golden Knights4 (OT) | RECAP | |||||||||||
2024-10-17 | @ | Wild2,Blues3 | RECAP | |||||||||||
2024-10-19 | @ | Islanders5,Blues4 (OT) | RECAP | |||||||||||
2024-10-21 | @ | Hurricanes3,Blues0 | RECAP | |||||||||||
2024-10-24 | @ | Jets0,Blues2 | RECAP | |||||||||||
2024-10-26 | @ | Blues3,Maple Leafs4 | RECAP | |||||||||||
2024-10-28 | @ | Blues4,Canadiens3 (OT) | RECAP | |||||||||||
2024-10-31 | @ | Blues1,Senators2 | RECAP | |||||||||||
2024-11-02 | @ | Blues3,Flyers6 | RECAP | |||||||||||
2024-11-04 | @ | Maple Leafs5,Blues4 (SO) | RECAP | |||||||||||
2024-11-07 | @ | Lightning1,Blues2 | RECAP | |||||||||||
2024-11-09 | @ | Hockey Club1,Blues3 | RECAP | |||||||||||
2024-11-11 | @ | Capitals3,Blues1 | RECAP | |||||||||||
2024-11-14 | @ | Bruins2,Blues3 | RECAP | |||||||||||
2024-11-16 | @ | Blues3,Sabres4 (SO) | RECAP | |||||||||||
2024-11-18 | @ | Blues4,Bruins3 (SO) | RECAP | |||||||||||
2024-11-19 | @ | Blues2,Hurricanes4 | RECAP | |||||||||||
2024-11-21 | @ | Wild2,Blues3 (OT) | RECAP | |||||||||||
2024-11-23 | @ | Sharks1,Blues3 | RECAP | |||||||||||
2024-11-25 | @ | Blues2,Islanders3 | RECAP | |||||||||||
2024-11-27 | @ | Blues4,Rangers3 (SO) | RECAP | |||||||||||
2024-11-29 | @ | Blues3,Devils2 | RECAP | |||||||||||
2024-12-02 | @ | Flyers1,Blues2 | RECAP | |||||||||||
2024-12-05 | @ | Blues3,Jets1 | RECAP | |||||||||||
2024-12-07 | @ | Blues3,Flames4 (OT) | RECAP | |||||||||||
2024-12-09 | @ | Blues3,Oilers4 (SO) | RECAP | |||||||||||
2024-12-12 | @ | Blues6,Canucks3 | RECAP | |||||||||||
2024-12-14 | @ | Sharks3,Blues2 (OT) | RECAP | |||||||||||
2024-12-16 | @ | Blues1,Stars2 | RECAP | |||||||||||
2024-12-17 | @ | Rangers0,Blues2 | RECAP | |||||||||||
2024-12-19 | @ | Devils3,Blues4 | RECAP | |||||||||||
2024-12-21 | @ | Blues4,Lightning2 | RECAP | |||||||||||
2024-12-22 | @ | Blues5,Panthers2 | RECAP | |||||||||||
2024-12-25 | @ | Blues0,Red Wings2 | RECAP | |||||||||||
2024-12-29 | @ | Predators2,Blues4 | RECAP | |||||||||||
2024-12-31 | @ | Sabres0,Blues1 (SO) | RECAP | |||||||||||
2025-01-02 | @ | Blues3,Blackhawks2 (OT) | RECAP | |||||||||||
2025-01-05 | @ | Senators4,Blues1 | RECAP | |||||||||||
2025-01-06 | @ | Blues4,Blue Jackets2 | RECAP | |||||||||||
2025-01-09 | @ | Blues0,Wild2 | RECAP | |||||||||||
2025-01-11 | @ | Ducks2,Blues1 (SO) | RECAP | |||||||||||
2025-01-13 | @ | Blue Jackets6,Blues1 | RECAP | |||||||||||
2025-01-16 | @ | Flames2,Blues4 | RECAP | |||||||||||
2025-01-18 | @ | Flames4,Blues0 | RECAP | |||||||||||
2025-01-20 | @ | Blues6,Hockey Club5 (SO) | RECAP | |||||||||||
2025-01-22 | @ | Blues3,Golden Knights6 | RECAP | |||||||||||
2025-01-25 | @ | Golden Knights1,Blues4 | RECAP | |||||||||||
2025-01-27 | @ | Stars1,Blues3 | RECAP | |||||||||||
2025-01-29 | @ | Canucks3,Blues1 | RECAP | |||||||||||
2025-02-02 | @ | Blues1,Avalanche3 | RECAP | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | |||||||||||||
2025-03-10 | @ | |||||||||||||
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2025-03-31 | @ | |||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,218,333$ | 0$ | 85,889,440$ | 4,781,667$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Scottrade Center | |
City | St. Louis | ||
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 | 139734 | 118301 | 47596 | 94958 | 23794 |
Attendance PCT | 93.16% | 94.64% | 95.19% | 94.96% | 95.18% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
16 | 16975 - 94.31% | 1,553,244$ | 38,831,092$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,218,333$ | 83,218,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
54,663,138$ | 424,583$ | 54,045,715$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
24,851,899$ | 75 | 429,685$ | 32,226,375$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
33,104,348$ | 83,218,333$ | 55,891,059$ | 47,638,610$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Kleber | 2024 | 68 | |||
Ivan Zinchenko | 2020 | 191 | |||
Jacob Julien | 2023 | 151 | |||
Jesse Gabrielle | 3.5 - 3.5 | ||||
Luke Osburn | 2024 | 134 | |||
Mason Beaupit | 2022 | 89 | |||
Oliver Moore | 2023 | 12 | |||
Roman Bychkov | 2019 | 165 | |||
Zach Schultz | 2023 | 150 |
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