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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 73 | 40 | 90 | 87 | 83 | 85 | 86 | 85 | 87 | 90 | 79 | 77 | 73 | 75 | 78 | 0 | 85 | 28 | 10,000,000$/8yrs | |||||
![]() | C/LW | 100.00 | 74 | 40 | 78 | 84 | 67 | 82 | 91 | 78 | 81 | 81 | 83 | 72 | 68 | 70 | 65 | 0 | 81 | 26 | 8,454,000$/10yrs | |||||
![]() | LW/RW | 100.00 | 64 | 40 | 82 | 85 | 71 | 85 | 89 | 80 | 61 | 85 | 81 | 69 | 65 | 68 | 64 | 0 | 80 | 25 | 7,150,000$/6yrs | |||||
![]() | C | 100.00 | 64 | 40 | 76 | 81 | 80 | 81 | 90 | 74 | 73 | 85 | 70 | 63 | 80 | 75 | 60 | 0 | 77 | 31 | 7,800,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 69 | 58 | 90 | 83 | 63 | 75 | 79 | 75 | 53 | 82 | 73 | 64 | 54 | 70 | 59 | 0 | 76 | 27 | 6,000,000$/3yrs | |||||
![]() | LW | 100.00 | 74 | 40 | 85 | 67 | 78 | 73 | 92 | 65 | 59 | 72 | 70 | 73 | 59 | 93 | 79 | 0 | 74 | 39 | 750,000$/1yrs | |||||
![]() | C/LW | 100.00 | 68 | 47 | 82 | 61 | 80 | 71 | 80 | 63 | 80 | 74 | 64 | 75 | 54 | 67 | 59 | 0 | 71 | 33 | 1,500,000$/1yrs | |||||
![]() | C/RW | 100.00 | 67 | 58 | 87 | 60 | 82 | 65 | 82 | 62 | 61 | 70 | 65 | 70 | 58 | 86 | 66 | 0 | 70 | 34 | 750,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 67 | 40 | 89 | 71 | 74 | 74 | 86 | 63 | 67 | 73 | 64 | 65 | 82 | 59 | 58 | 0 | 70 | 24 | 750,000$/3yrs | |||||
![]() | C/RW | 100.00 | 72 | 40 | 92 | 66 | 79 | 63 | 79 | 61 | 66 | 71 | 61 | 73 | 54 | 59 | 58 | 0 | 69 | 30 | 1,200,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 75 | 70 | 76 | 62 | 72 | 66 | 72 | 60 | 53 | 69 | 60 | 73 | 54 | 59 | 58 | 0 | 68 | 28 | 750,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 68 | 41 | 89 | 65 | 81 | 57 | 73 | 58 | 72 | 70 | 59 | 67 | 72 | 67 | 59 | 0 | 67 | 29 | 850,000$/2yrs | |||||
![]() | D | 100.00 | 72 | 40 | 74 | 90 | 82 | 91 | 86 | 69 | 40 | 80 | 63 | 89 | 54 | 75 | 60 | 0 | 80 | 29 | 6,500,000$/8yrs | |||||
![]() | D | 100.00 | 70 | 40 | 84 | 84 | 81 | 96 | 91 | 68 | 40 | 79 | 64 | 84 | 54 | 77 | 67 | 0 | 79 | 29 | 9,500,000$/8yrs | |||||
![]() | D | 100.00 | 67 | 40 | 80 | 89 | 70 | 86 | 88 | 68 | 40 | 79 | 64 | 72 | 54 | 73 | 69 | 0 | 76 | 31 | 7,000,000$/1yrs | |||||
![]() | D | 100.00 | 84 | 40 | 85 | 71 | 77 | 86 | 88 | 59 | 40 | 72 | 60 | 88 | 54 | 59 | 58 | 0 | 75 | 24 | 1,000,000$/9yrs | |||||
![]() | D | 100.00 | 65 | 50 | 88 | 71 | 78 | 73 | 74 | 59 | 40 | 71 | 61 | 80 | 54 | 69 | 59 | 0 | 71 | 30 | 850,000$/1yrs | |||||
![]() | D | 100.00 | 66 | 40 | 78 | 65 | 71 | 79 | 61 | 60 | 40 | 73 | 62 | 79 | 54 | 55 | 58 | 0 | 71 | 25 | 825,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | D | 100.00 | 66 | 66 | 84 | 72 | 75 | 70 | 69 | 60 | 40 | 73 | 58 | 79 | 54 | 58 | 58 | 0 | 70 | 29 | 750,000$/2yrs | |||||
TEAM AVERAGE | 100.00 | 70 | 46 | 84 | 74 | 76 | 77 | 82 | 67 | 58 | 76 | 66 | 74 | 61 | 69 | 63 | 0 | 74 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 86 | 96 | 95 | 94 | 79 | 74 | 86 | 65 | 88 | 80 | 88 | 75 | 62 | 0 | 83 | 33 | 6,000,000$/4yrs | |
![]() | 0 | 99.00 | 71 | 63 | 63 | 78 | 79 | 73 | 74 | 66 | 72 | 60 | 74 | 65 | 58 | 0 | 71 | 30 | 2,325,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 79 | 80 | 79 | 86 | 79 | 74 | 80 | 66 | 80 | 70 | 81 | 70 | 60 | 0 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Barry Trotz | 86 | 92 | 83 | 93 | 87 | 81 | 59 | CAN | 59 | 1 | 1,000,000$ |
General Manager | Daniel Schinck |
---|
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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Aleksander Barkov | ![]() | 0 | C | 32 | 12 | 18 | 30 | 11 | 4 | 0 | 25 | 105 | 24 | 70 | 11.43% | 3 | 20.41 | 1 | 3 | 4 | 1 | 0 | 1 | 86 | 1 | 1 | 55.09% | 1 | 1 | 0.94 | 0 | 3 | 1.06 | ||
2 | Clayton Keller | ![]() | 0 | LW/RW | 32 | 9 | 13 | 22 | 11 | 2 | 0 | 16 | 81 | 17 | 59 | 11.11% | 5 | 18.43 | 1 | 3 | 4 | 0 | 0 | 0 | 44 | 2 | 1 | 40.24% | 0 | 0 | 0.69 | 1 | 1 | 0.82 | ||
3 | John Klingberg | ![]() | 0 | D | 32 | 2 | 16 | 18 | 5 | 10 | 0 | 34 | 45 | 9 | 15 | 4.44% | 30 | 22.91 | 1 | 2 | 3 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0.56 | 0 | 0 | 0.53 | ||
4 | Sebastian Aho | ![]() | 0 | C/LW | 32 | 10 | 7 | 17 | 11 | 2 | 0 | 52 | 90 | 24 | 53 | 11.11% | 2 | 20.27 | 0 | 1 | 1 | 0 | 0 | 0 | 86 | 2 | 0 | 58.70% | 0 | 0 | 0.53 | 0 | 3 | 0.77 | ||
5 | Mikey Anderson | ![]() | 0 | D | 32 | 6 | 10 | 16 | 7 | 16 | 0 | 49 | 24 | 14 | 17 | 25.00% | 32 | 19.25 | 3 | 1 | 4 | 0 | 0 | 0 | 59 | 1 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.48 | ||
6 | Seth Jones | ![]() | 0 | D | 32 | 4 | 11 | 15 | -1 | 16 | 0 | 49 | 38 | 18 | 26 | 10.53% | 36 | 26.37 | 0 | 1 | 1 | 0 | 0 | 0 | 64 | 0 | 0 | 0.00% | 0 | 0 | 0.47 | 0 | 0 | 0.39 | ||
7 | Hampus Lindholm | ![]() | 0 | D | 32 | 4 | 11 | 15 | 1 | 26 | 0 | 62 | 47 | 11 | 23 | 8.51% | 35 | 22.90 | 1 | 2 | 3 | 0 | 1 | 1 | 49 | 1 | 0 | 0.00% | 1 | 0 | 0.47 | 0 | 0 | 0.38 | ||
8 | Evgeny Kuznetsov | ![]() | 0 | C | 32 | 3 | 9 | 12 | -5 | 4 | 0 | 43 | 69 | 19 | 44 | 4.35% | 3 | 17.44 | 1 | 1 | 2 | 0 | 0 | 0 | 7 | 3 | 0 | 47.87% | 0 | 0 | 0.38 | 2 | 3 | 0.38 | ||
9 | Ben Hutton | ![]() | 0 | D | 32 | 1 | 7 | 8 | -3 | 14 | 0 | 21 | 12 | 7 | 15 | 8.33% | 25 | 15.22 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 1 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.14 | ||
10 | Nikolaj Ehlers | ![]() | 0 | LW/RW | 32 | 5 | 3 | 8 | -2 | 18 | 10 | 38 | 77 | 27 | 46 | 6.49% | 4 | 18.57 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 38.89% | 0 | 0 | 0.25 | 0 | 0 | 0.30 | ||
11 | Nick Blankenburg | ![]() | 0 | D | 32 | 0 | 8 | 8 | -4 | 14 | 0 | 38 | 24 | 2 | 13 | 0.00% | 23 | 14.31 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.16 | ||
12 | Philipp Kurashev | ![]() | 0 | C/LW/RW | 31 | 4 | 4 | 8 | -2 | 8 | 0 | 26 | 39 | 7 | 23 | 10.26% | 3 | 13.08 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 31.25% | 0 | 0 | 0.26 | 0 | 0 | 0.24 | ||
13 | Sam Gagner | ![]() | 0 | C/RW | 32 | 4 | 3 | 7 | -4 | 27 | 5 | 21 | 33 | 9 | 11 | 12.12% | 1 | 14.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 43.29% | 0 | 0 | 0.22 | 0 | 0 | 0.02 | ||
14 | Zach Parise | ![]() | 0 | LW | 32 | 3 | 3 | 6 | -4 | 8 | 0 | 48 | 51 | 24 | 50 | 5.88% | 0 | 15.21 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 1 | 1 | 65.52% | 0 | 0 | 0.19 | 0 | 0 | 0.24 | ||
15 | Devin Shore | ![]() | 0 | LW/RW | 32 | 3 | 2 | 5 | -4 | 8 | 0 | 27 | 35 | 11 | 23 | 8.57% | 4 | 14.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 0 | 0 | 0.16 | 0 | 0 | 0.15 | ||
16 | Derek Grant | ![]() | 0 | C/LW | 32 | 0 | 3 | 3 | -3 | 10 | 0 | 15 | 18 | 5 | 20 | 0.00% | 1 | 6.92 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 54.59% | 0 | 0 | 0.09 | 0 | 0 | 0.04 | ||
17 | Colin Blackwell | ![]() | 0 | C/RW | 32 | 1 | 1 | 2 | -3 | 2 | 0 | 8 | 16 | 5 | 9 | 6.25% | 3 | 6.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 26.67% | 0 | 0 | 0.06 | 0 | 0 | 0.05 | ||
18 | Cole Smith | ![]() | 0 | LW/RW | 32 | 2 | 0 | 2 | -3 | 10 | 0 | 25 | 13 | 3 | 10 | 15.38% | 1 | 6.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 46.67% | 0 | 0 | 0.06 | 0 | 0 | 0.02 | ||
Team Total or Average | 575 | 73 | 129 | 202 | 8 | 199 | 15 | 597 | 817 | 236 | 527 | 8.94% | 211 | 16.35 | 8 | 15 | 23 | 750 | 1 | 1 | 2 | 553 | 13 | 6 | 49.65% | 2552 | 0 | 0 | 2 | 1 | 0.43 | 3 | 10 |
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 | Jacob Markstrom | ![]() | 28 | 12 | 13 | 3 | 0.898 | 2.54 | 1654 | 2 | 0 | 70 | 683 | 0 | 0 | 0 | 0.400 | 5 | 28 | 4 | 2 | 1 | 1 |
2 | Laurent Brossoit | ![]() | 5 | 2 | 0 | 2 | 0.922 | 2.04 | 294 | 0 | 0 | 10 | 129 | 0 | 0 | 0 | 0.750 | 4 | 4 | 28 | 0 | 0 | 0 |
Team Total or Average | 33 | 14 | 13 | 5 | 0.901 | 2.46 | 1948 | 2 | 0 | 80 | 812 | 0 | 0 | 0 | 0.556 | 9 | 32 | 32 | 2 | 1 | 1 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 33 | 10 | 13 | 10 | 0 | 23 | 11 | 4 | 25 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 22 | 14 | 24 | 7 | 12 | 6 | 80.0% | 12.1% | 91.3% | 103.4 | LUCKY |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 3 | 0 | 2 | 0 | 29 | 11 | 12 | 6 | 0 | 25 | 7 | 4 | 20 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 23 | 16 | 23 | 7 | 13 | 6 | 66.7% | 17.2% | 92.0% | 109.2 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 22 | 6 | 9 | 7 | 0 | 32 | 14 | 6 | 14 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 21 | 15 | 25 | 7 | 13 | 5 | 33.3% | 9.1% | 84.4% | 93.5 | FUN |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 0 | 2 | 18 | 6 | 10 | 1 | 5 | 30 | 11 | 6 | 20 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 21 | 14 | 29 | 7 | 14 | 6 | 50.0% | 22.2% | 90.0% | 112.2 | FUN |
5 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 3 | 2 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 1 | 55 | 25 | 18 | 11 | 4 | 53 | 10 | 12 | 36 | 6 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 49 | 34 | 48 | 14 | 26 | 13 | 62.5% | 9.1% | 94.3% | 103.4 | LUCKY |
6 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 1 | 1 | 52 | 13 | 27 | 7 | 5 | 51 | 11 | 8 | 45 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 46 | 32 | 49 | 16 | 26 | 12 | 41.7% | 11.5% | 84.3% | 95.9 | FUN |
7 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 37 | 9 | 16 | 12 | 0 | 48 | 18 | 18 | 33 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 47 | 31 | 46 | 15 | 25 | 12 | 66.7% | 13.5% | 91.7% | 105.2 | LUCKY |
8 | ![]() | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 8 | -4 | 3 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 88 | 29 | 42 | 17 | 0 | 81 | 19 | 18 | 51 | 8 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 71 | 48 | 74 | 22 | 38 | 19 | 36.4% | 4.5% | 90.1% | 94.7 | Unlucky |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 7 | 7 | 9 | 0 | 18 | 8 | 4 | 15 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 24 | 16 | 22 | 7 | 13 | 6 | 0.0% | 0.0% | 94.4% | 94.4 | DULL |
10 | ![]() | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 1 | 1 | 5 | 0 | 82 | 27 | 25 | 26 | 4 | 75 | 17 | 26 | 55 | 5 | 0 | 0.00% | 12 | 3 | 75.00% | 1 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 72 | 48 | 71 | 22 | 39 | 19 | 58.3% | 8.5% | 89.3% | 97.9 | Unlucky |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 25 | 10 | 13 | 2 | 0 | 24 | 6 | 0 | 22 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 23 | 16 | 21 | 7 | 14 | 7 | 28.6% | 16.0% | 79.2% | 95.2 | FUN |
12 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 0.667 | 7 | 14 | 21 | 0 | 0 | 3 | 3 | 1 | 0 | 77 | 30 | 23 | 24 | 0 | 61 | 14 | 34 | 47 | 12 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 80 | 57 | 59 | 21 | 40 | 20 | 70.0% | 9.1% | 93.4% | 102.5 | LUCKY |
13 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 53 | 19 | 17 | 13 | 4 | 50 | 7 | 0 | 35 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 51 | 34 | 45 | 14 | 28 | 14 | 50.0% | 7.5% | 92.0% | 99.5 | DULL |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 5 | 11 | 8 | 0 | 27 | 4 | 12 | 21 | 3 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 24 | 16 | 21 | 7 | 13 | 6 | 0.0% | 0.0% | 85.2% | 85.2 | Unlucky |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 9 | 10 | 3 | 0 | 34 | 11 | 6 | 26 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 23 | 16 | 23 | 7 | 13 | 6 | 100.0% | 9.1% | 97.1% | 106.1 | LUCKY |
16 | ![]() | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 11 | 10 | 1 | 5 | 0.625 | 11 | 21 | 32 | 0 | 0 | 4 | 4 | 3 | 0 | 123 | 44 | 45 | 34 | 3 | 102 | 18 | 18 | 70 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 98 | 67 | 92 | 29 | 54 | 27 | 52.9% | 8.9% | 90.2% | 99.1 | Unlucky |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 9 | 6 | 11 | 0 | 24 | 7 | 4 | 20 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 20 | 13 | 25 | 6 | 13 | 7 | 25.0% | 3.8% | 87.5% | 91.3 | Unlucky |
18 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 39 | 17 | 15 | 7 | 0 | 54 | 17 | 17 | 48 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 43 | 29 | 49 | 14 | 26 | 12 | 25.0% | 5.1% | 87.0% | 92.2 | Unlucky |
_Vs Division | 14 | 6 | 6 | 0 | 0 | 1 | 0 | 1 | 31 | 32 | -1 | 14 | 0.500 | 31 | 57 | 88 | 0 | 0 | 12 | 11 | 8 | 0 | 373 | 129 | 146 | 98 | 3 | 334 | 83 | 92 | 238 | 44 | 5 | 11.36% | 33 | 6 | 81.82% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 346 | 237 | 317 | 104 | 186 | 94 | 50.0% | 8.3% | 90.4% | 98.7 | Unlucky | |
_Vs Conference | 22 | 8 | 10 | 0 | 0 | 3 | 0 | 1 | 45 | 54 | -9 | 20 | 0.455 | 45 | 81 | 126 | 0 | 0 | 18 | 13 | 14 | 0 | 573 | 201 | 209 | 155 | 11 | 537 | 131 | 139 | 396 | 56 | 5 | 8.93% | 52 | 10 | 80.77% | 1 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 534 | 365 | 508 | 163 | 294 | 147 | 47.6% | 7.9% | 89.9% | 97.8 | Unlucky | |
_Since Last GM Reset | 32 | 12 | 13 | 0 | 1 | 3 | 1 | 2 | 73 | 82 | -9 | 33 | 0.516 | 73 | 128 | 201 | 0 | 0 | 28 | 24 | 19 | 4 | 828 | 286 | 319 | 208 | 25 | 812 | 210 | 197 | 603 | 87 | 8 | 9.20% | 80 | 17 | 78.75% | 1 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 768 | 526 | 754 | 239 | 427 | 212 | 50.0% | 8.8% | 89.9% | 98.7 | Unlucky | |
Total | 32 | 12 | 13 | 0 | 1 | 3 | 1 | 2 | 73 | 82 | -9 | 33 | 0.516 | 73 | 128 | 201 | 0 | 0 | 28 | 24 | 19 | 4 | 828 | 286 | 319 | 208 | 25 | 812 | 210 | 197 | 603 | 87 | 8 | 9.20% | 80 | 17 | 78.75% | 1 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 768 | 526 | 754 | 239 | 427 | 212 | 50.0% | 8.8% | 89.9% | 98.7 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1031 |
Neutral Zone Start | 486 |
Defensive Zone Start | 996 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1270 |
Faceoffs Lost | 1243 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.9 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 25.4 | 30.68 |
Overtime | 26.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 64 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 7 |
Lost | 6 | 7 |
Overtime Lost | 2 | 3 |
PP Attempt | 87 |
---|---|
PP Goal | 8 |
PK Attempt | 80 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 25.9 |
Shots Against | 25.4 |
Goals For | 2.3 |
Goals Against | 2.6 |
Hits | 18.8 |
Shots Blocked | 6.6 |
Pim | 6.2 |
![]() | |
Projected Total Cap Hit | 80,704,000$ |
Projected Cap Space | 7,296,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 29,262,142$ |
Players In Salary Cap | 21 |
Contracts | 56/50 |
LTIR Players | 0 |
Blues Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksander Barkov ![]() | C | 28 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ |
Ben Hutton ![]() | D | 30 | 850,000$ | 850,000$ | UFA | ||||||
Clayton Keller ![]() | LW/RW | 25 | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | UFA | |
Cole Smith ![]() | LW/RW | 28 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Colin Blackwell ![]() | C/RW | 30 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Derek Grant ![]() | C/LW | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Devin Shore ![]() | LW/RW | 29 | 850,000$ | 850,000$ | 775,000$ | UFA | |||||
Evgeny Kuznetsov ![]() | C | 31 | 7,800,000$ | 7,800,000$ | 7,800,000$ | 7,800,000$ | 7,800,000$ | UFA | |||
Gavin Bayreuther ![]() | D | 29 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Hampus Lindholm ![]() | D | 29 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ |
Jacob Markstrom ![]() | G | 33 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
John Klingberg ![]() | D | 31 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Laurent Brossoit ![]() | G | 30 | 2,325,000$ | 2,325,000$ | UFA | ||||||
Mikey Anderson ![]() | D | 24 | 1,000,000$ | 1,000,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ |
Nick Blankenburg ![]() | D | 25 | 825,000$ | 825,000$ | 825,000$ | ![]() | |||||
Nikolaj Ehlers ![]() | LW/RW | 27 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Philipp Kurashev ![]() | C/LW/RW | 24 | 750,000$ | 750,000$ | 2,250,000$ | 2,250,000$ | ![]() | ||||
Sam Gagner ![]() | C/RW | 34 | 750,000$ | 750,000$ | UFA | ||||||
Sebastian Aho ![]() | C/LW | 26 | 8,454,000$ | 8,454,000$ | 8,454,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ |
Seth Jones ![]() | D | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ |
Zach Parise ![]() | LW | 39 | 750,000$ | 750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Edstrom ![]() | C | 23 | 846,667$ | 846,667$ | 846,667$ | 846,667$ | RFA | ||||
Adam Helewka ![]() | C | 28 | 750,000$ | 750,000$ | ![]() | ||||||
Adam Huska ![]() | G | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Andre Lee ![]() | C/LW | 23 | 883,750$ | 883,750$ | 883,750$ | RFA | |||||
Andreas Wingerli ![]() | C | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Austin Poganski ![]() | RW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Ben Jones ![]() | C | 24 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Cameron Hebig ![]() | RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Colten Ellis ![]() | G | 23 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Danny Dekeyser ![]() ![]() | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Drake Rymsha ![]() | C | 25 | 750,000$ | 750,000$ | RFA | ||||||
Dysin Mayo ![]() | D | 27 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Ethan Prow ![]() ![]() | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Jacob Lucchini ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Jean-Luc Foudy ![]() | C | 21 | 847,500$ | 847,500$ | 847,500$ | 847,500$ | RFA | ||||
Jeremy Davies ![]() | D | 27 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Jesper Sellgren ![]() | D | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Joachim Blichfeld ![]() | C | 25 | 750,000$ | 750,000$ | RFA | ||||||
Justin Bailey ![]() ![]() | RW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Kyle Keyser ![]() | G | 24 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Lean Bergmann ![]() | C | 25 | 750,000$ | 750,000$ | RFA | ||||||
Liam Kirk ![]() | C/LW | 23 | 813,333$ | 813,333$ | 813,333$ | RFA | |||||
Lukas Svejkovsky ![]() | RW | 22 | 859,167$ | 859,167$ | 859,167$ | 859,167$ | RFA | ||||
Marco Kasper ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Marcus Kallionkieli ![]() | C | 22 | 784,722$ | 784,722$ | 784,722$ | RFA | |||||
Markus Nutivaara ![]() | D | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Mathias Emilio Pettersen ![]() | C/LW | 23 | 903,333$ | 903,333$ | 775,000$ | RFA | |||||
Max Willman ![]() | C/LW | 28 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Nathan Walker ![]() | LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Otto Somppi ![]() | C | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Patrick Harper ![]() | C | 25 | 750,000$ | 750,000$ | RFA | ||||||
Patrick Khodorenko ![]() | C | 25 | 925,000$ | 925,000$ | RFA | ||||||
Samuel Ersson ![]() | G | 24 | 859,167$ | 859,167$ | 859,167$ | 1,450,000$ | 1,450,000$ | ![]() | |||
Santeri Hatakka ![]() | D | 22 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Simon Ryfors ![]() | C/LW/RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Trey Fix-Wolansky ![]() | RW | 24 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | ![]() | ||||
Ty Lewis ![]() | C/LW | 25 | 750,000$ | 750,000$ | ![]() |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 33 | 10 | 13 | 10 | 0 | 23 | 11 | 4 | 25 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 22 | 14 | 24 | 7 | 12 | 6 | 80.0% | 12.1% | 91.3% | 103.4 | LUCKY |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 3 | 0 | 2 | 0 | 29 | 11 | 12 | 6 | 0 | 25 | 7 | 4 | 20 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 23 | 16 | 23 | 7 | 13 | 6 | 66.7% | 17.2% | 92.0% | 109.2 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 22 | 6 | 9 | 7 | 0 | 32 | 14 | 6 | 14 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 21 | 15 | 25 | 7 | 13 | 5 | 33.3% | 9.1% | 84.4% | 93.5 | FUN |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 0 | 2 | 18 | 6 | 10 | 1 | 5 | 30 | 11 | 6 | 20 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 21 | 14 | 29 | 7 | 14 | 6 | 50.0% | 22.2% | 90.0% | 112.2 | FUN |
5 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 3 | 2 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 1 | 55 | 25 | 18 | 11 | 4 | 53 | 10 | 12 | 36 | 6 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 49 | 34 | 48 | 14 | 26 | 13 | 62.5% | 9.1% | 94.3% | 103.4 | LUCKY |
6 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 1 | 1 | 52 | 13 | 27 | 7 | 5 | 51 | 11 | 8 | 45 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 46 | 32 | 49 | 16 | 26 | 12 | 41.7% | 11.5% | 84.3% | 95.9 | FUN |
7 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 37 | 9 | 16 | 12 | 0 | 48 | 18 | 18 | 33 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 47 | 31 | 46 | 15 | 25 | 12 | 66.7% | 13.5% | 91.7% | 105.2 | LUCKY |
8 | ![]() | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 8 | -4 | 3 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 88 | 29 | 42 | 17 | 0 | 81 | 19 | 18 | 51 | 8 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 71 | 48 | 74 | 22 | 38 | 19 | 36.4% | 4.5% | 90.1% | 94.7 | Unlucky |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 7 | 7 | 9 | 0 | 18 | 8 | 4 | 15 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 24 | 16 | 22 | 7 | 13 | 6 | 0.0% | 0.0% | 94.4% | 94.4 | DULL |
10 | ![]() | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 1 | 1 | 5 | 0 | 82 | 27 | 25 | 26 | 4 | 75 | 17 | 26 | 55 | 5 | 0 | 0.00% | 12 | 3 | 75.00% | 1 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 72 | 48 | 71 | 22 | 39 | 19 | 58.3% | 8.5% | 89.3% | 97.9 | Unlucky |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 25 | 10 | 13 | 2 | 0 | 24 | 6 | 0 | 22 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 23 | 16 | 21 | 7 | 14 | 7 | 28.6% | 16.0% | 79.2% | 95.2 | FUN |
12 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 0.667 | 7 | 14 | 21 | 0 | 0 | 3 | 3 | 1 | 0 | 77 | 30 | 23 | 24 | 0 | 61 | 14 | 34 | 47 | 12 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 80 | 57 | 59 | 21 | 40 | 20 | 70.0% | 9.1% | 93.4% | 102.5 | LUCKY |
13 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 53 | 19 | 17 | 13 | 4 | 50 | 7 | 0 | 35 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 51 | 34 | 45 | 14 | 28 | 14 | 50.0% | 7.5% | 92.0% | 99.5 | DULL |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 5 | 11 | 8 | 0 | 27 | 4 | 12 | 21 | 3 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 24 | 16 | 21 | 7 | 13 | 6 | 0.0% | 0.0% | 85.2% | 85.2 | Unlucky |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 9 | 10 | 3 | 0 | 34 | 11 | 6 | 26 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 23 | 16 | 23 | 7 | 13 | 6 | 100.0% | 9.1% | 97.1% | 106.1 | LUCKY |
16 | ![]() | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 11 | 10 | 1 | 5 | 0.625 | 11 | 21 | 32 | 0 | 0 | 4 | 4 | 3 | 0 | 123 | 44 | 45 | 34 | 3 | 102 | 18 | 18 | 70 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 98 | 67 | 92 | 29 | 54 | 27 | 52.9% | 8.9% | 90.2% | 99.1 | Unlucky |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 9 | 6 | 11 | 0 | 24 | 7 | 4 | 20 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 20 | 13 | 25 | 6 | 13 | 7 | 25.0% | 3.8% | 87.5% | 91.3 | Unlucky |
18 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 39 | 17 | 15 | 7 | 0 | 54 | 17 | 17 | 48 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 43 | 29 | 49 | 14 | 26 | 12 | 25.0% | 5.1% | 87.0% | 92.2 | Unlucky |
_Vs Division | 14 | 6 | 6 | 0 | 0 | 1 | 0 | 1 | 31 | 32 | -1 | 14 | 0.500 | 31 | 57 | 88 | 0 | 0 | 12 | 11 | 8 | 0 | 373 | 129 | 146 | 98 | 3 | 334 | 83 | 92 | 238 | 44 | 5 | 11.36% | 33 | 6 | 81.82% | 0 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 346 | 237 | 317 | 104 | 186 | 94 | 50.0% | 8.3% | 90.4% | 98.7 | Unlucky | |
_Vs Conference | 22 | 8 | 10 | 0 | 0 | 3 | 0 | 1 | 45 | 54 | -9 | 20 | 0.455 | 45 | 81 | 126 | 0 | 0 | 18 | 13 | 14 | 0 | 573 | 201 | 209 | 155 | 11 | 537 | 131 | 139 | 396 | 56 | 5 | 8.93% | 52 | 10 | 80.77% | 1 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 534 | 365 | 508 | 163 | 294 | 147 | 47.6% | 7.9% | 89.9% | 97.8 | Unlucky | |
_Since Last GM Reset | 32 | 12 | 13 | 0 | 1 | 3 | 1 | 2 | 73 | 82 | -9 | 33 | 0.516 | 73 | 128 | 201 | 0 | 0 | 28 | 24 | 19 | 4 | 828 | 286 | 319 | 208 | 25 | 812 | 210 | 197 | 603 | 87 | 8 | 9.20% | 80 | 17 | 78.75% | 1 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 768 | 526 | 754 | 239 | 427 | 212 | 50.0% | 8.8% | 89.9% | 98.7 | Unlucky | |
Total | 32 | 12 | 13 | 0 | 1 | 3 | 1 | 2 | 73 | 82 | -9 | 33 | 0.516 | 73 | 128 | 201 | 0 | 0 | 28 | 24 | 19 | 4 | 828 | 286 | 319 | 208 | 25 | 812 | 210 | 197 | 603 | 87 | 8 | 9.20% | 80 | 17 | 78.75% | 1 | 507 | 1031 | 49.18% | 523 | 996 | 52.51% | 240 | 486 | 49.38% | 768 | 526 | 754 | 239 | 427 | 212 | 50.0% | 8.8% | 89.9% | 98.7 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1031 |
Neutral Zone Start | 486 |
Defensive Zone Start | 996 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1270 |
Faceoffs Lost | 1243 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.9 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 25.4 | 30.68 |
Overtime | 26.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 64 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 7 |
Lost | 6 | 7 |
Overtime Lost | 2 | 3 |
PP Attempt | 87 |
---|---|
PP Goal | 8 |
PK Attempt | 80 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 25.9 |
Shots Against | 25.4 |
Goals For | 2.3 |
Goals Against | 2.6 |
Hits | 18.8 |
Shots Blocked | 6.6 |
Pim | 6.2 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sun, Oct 8 | ![]() | @ | ![]() | NAS2,STL4 | RECAP |
Tue, Oct 10 | ![]() | @ | ![]() | STL1,NAS3 | RECAP |
Wed, Oct 11 | ![]() | @ | ![]() | STL1,DAL2 | RECAP |
Fri, Oct 13 | ![]() | @ | ![]() | COL5,STL4 | RECAP |
Sun, Oct 15 | ![]() | @ | ![]() | WPG2,STL1 | RECAP |
Tue, Oct 17 | ![]() | @ | ![]() | STL2,CHI1 | RECAP |
Thu, Oct 19 | ![]() | @ | ![]() | STL1,SEA4 | RECAP |
Sat, Oct 21 | ![]() | @ | ![]() | SEA3,STL1 | RECAP |
Mon, Oct 23 | ![]() | @ | ![]() | STL4,WPG2 | RECAP |
Wed, Oct 25 | ![]() | @ | ![]() | VAN2,STL4 | RECAP |
Sat, Oct 28 | ![]() | @ | ![]() | STL3,DAL1 | RECAP |
Mon, Oct 30 | ![]() | @ | ![]() | DAL1,STL3 | RECAP |
Wed, Nov 1 | ![]() | @ | ![]() | MTL2,STL3 (OT) | RECAP |
Fri, Nov 3 | ![]() | @ | ![]() | STL0,MIN1 | RECAP |
Sun, Nov 5 | ![]() | @ | ![]() | STL1,VGK3 | RECAP |
Mon, Nov 6 | ![]() | @ | ![]() | CHI5,STL1 | RECAP |
Wed, Nov 8 | ![]() | @ | ![]() | STL3,NAS4 (SO) | RECAP |
Sat, Nov 11 | ![]() | @ | ![]() | STL5,OTT2 | RECAP |
Sun, Nov 12 | ![]() | @ | ![]() | CAR1,STL2 | RECAP |
Tue, Nov 14 | ![]() | @ | ![]() | VAN4,STL3 (OT) | RECAP |
Thu, Nov 16 | ![]() | @ | ![]() | STL4,NYI1 | RECAP |
Sat, Nov 18 | ![]() | @ | ![]() | STL1,CHI2 (OT) | RECAP |
Mon, Nov 20 | ![]() | @ | ![]() | ANA2,STL3 | RECAP |
Wed, Nov 22 | ![]() | @ | ![]() | STL4,DET2 | RECAP |
Fri, Nov 24 | ![]() | @ | ![]() | STL4,BUF3 (SO) | RECAP |
Sat, Nov 25 | ![]() | @ | ![]() | CLB5,STL2 | RECAP |
Tue, Nov 28 | ![]() | @ | ![]() | NYI2,STL1 (SO) | RECAP |
Thu, Nov 30 | ![]() | @ | ![]() | STL0,VAN2 | RECAP |
Sat, Dec 2 | ![]() | @ | ![]() | STL3,MTL6 | RECAP |
Mon, Dec 4 | ![]() | @ | ![]() | TOR4,STL0 | RECAP |
Wed, Dec 6 | ![]() | @ | ![]() | STL1,ANA2 (OT) | RECAP |
Thu, Dec 7 | ![]() | @ | ![]() | NAS1,STL3 | RECAP |
Sun, Dec 10 | ![]() | @ | ![]() | ||
Tue, Dec 12 | ![]() | @ | ![]() | ||
Thu, Dec 14 | ![]() | @ | ![]() | ||
Sat, Dec 16 | ![]() | @ | ![]() | ||
Sun, Dec 17 | ![]() | @ | ![]() | ||
Thu, Dec 21 | ![]() | @ | ![]() | ||
Sat, Dec 23 | ![]() | @ | ![]() | ||
Mon, Dec 25 | ![]() | @ | ![]() | ||
Wed, Dec 27 | ![]() | @ | ![]() | ||
Fri, Dec 29 | ![]() | @ | ![]() | ||
Sun, Dec 31 | ![]() | @ | ![]() | ||
Wed, Jan 3 | ![]() | @ | ![]() | ||
Fri, Jan 5 | ![]() | @ | ![]() | ||
Sun, Jan 7 | ![]() | @ | ![]() | ||
Tue, Jan 9 | ![]() | @ | ![]() | ||
Thu, Jan 11 | ![]() | @ | ![]() | ||
Sat, Jan 13 | ![]() | @ | ![]() | ||
Mon, Jan 15 | ![]() | @ | ![]() | ||
Wed, Jan 17 | ![]() | @ | ![]() | ||
Fri, Jan 19 | ![]() | @ | ![]() | ||
Sat, Jan 20 | ![]() | @ | ![]() | ||
Tue, Jan 23 | ![]() | @ | ![]() | ||
Thu, Jan 25 | ![]() | @ | ![]() | ||
Sat, Jan 27 | ![]() | @ | ![]() | ||
Sun, Jan 28 | ![]() | @ | ![]() | ||
Wed, Jan 31 | ![]() | @ | ![]() | ||
Sun, Feb 4 | ![]() | @ | ![]() | ||
Tue, Feb 6 | ![]() | @ | ![]() | ||
Thu, Feb 8 | ![]() | @ | ![]() | ||
Fri, Feb 9 | ![]() | @ | ![]() | ||
Mon, Feb 12 | ![]() | @ | ![]() | ||
Wed, Feb 14 | ![]() | @ | ![]() | ||
Sat, Feb 17 | ![]() | @ | ![]() | ||
Sun, Feb 18 | ![]() | @ | ![]() | ||
Wed, Feb 21 | ![]() | @ | ![]() | ||
Thu, Feb 22 | ![]() | @ | ![]() | ||
Mon, Feb 26 | ![]() | @ | ![]() | ||
Wed, Feb 28 | ![]() | @ | ![]() | ||
Thu, Feb 29 | ![]() | @ | ![]() | ||
Fri, Mar 1 | ![]() | @ | ![]() | ||
Tue, Mar 5 | ![]() | @ | ![]() | ||
Wed, Mar 6 | ![]() | @ | ![]() | ||
Mon, Mar 11 | ![]() | @ | ![]() | ||
Thu, Mar 14 | ![]() | @ | ![]() | ||
Sat, Mar 16 | ![]() | @ | ![]() | ||
Wed, Mar 20 | ![]() | @ | ![]() | ||
Fri, Mar 22 | ![]() | @ | ![]() | ||
Sun, Mar 24 | ![]() | @ | ![]() | ||
Mon, Mar 25 | ![]() | @ | ![]() | ||
Thu, Mar 28 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,704,000$ | 0$ | 80,704,000$ | 7,296,000$ |
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 | 83881 | 71067 | 28526 | 55906 | 14125 |
Attendance PCT | 93.20% | 94.76% | 95.09% | 93.18% | 94.17% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
26 | 16900 - 93.89% | 1,775,403$ | 26,631,038$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,704,000$ | 80,704,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
29,612,442$ | 80,704,000$ | 29,262,142$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
46,160,466$ | 115 | 461,605$ | 53,084,575$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
55,688,290$ | 80,704,000$ | 24,060,692$ | 16,627,584$ |
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 |
---|---|---|---|---|---|---|
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 | Lien |
---|---|---|---|---|---|
Arno Tiefensee | ![]() | 2023 | |||
Calum Ritchie | ![]() | 2023 | |||
Cameron Lund | ![]() | 2022 | |||
Drew Fortescue | ![]() | 2023 | |||
Frederik Dichow | ![]() | 2019 | |||
Gustav Berglund | ![]() | 2019 | |||
Hugo Gabrielson | ![]() | 2021 | |||
Josh Pillar | ![]() | 2021 | |||
Kaden Hammell | ![]() | 2023 | |||
Kasper Kulonummi | ![]() | 2022 | |||
Kirill Maksimov | ![]() | 2017 | |||
Martin Misiak | ![]() | 2023 | |||
Mason Langenbrunner | ![]() | 2020 | |||
Matias Mantykivi | ![]() | 2019 | |||
Maxim Strbak | ![]() | 2023 | |||
Viktor Persson | ![]() | 2020 | |||
Viljami Marjala | ![]() | 2021 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
---|---|---|---|---|---|---|
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 | Lien |
---|---|---|---|---|---|
Arno Tiefensee | ![]() | 2023 | |||
Calum Ritchie | ![]() | 2023 | |||
Cameron Lund | ![]() | 2022 | |||
Drew Fortescue | ![]() | 2023 | |||
Frederik Dichow | ![]() | 2019 | |||
Gustav Berglund | ![]() | 2019 | |||
Hugo Gabrielson | ![]() | 2021 | |||
Josh Pillar | ![]() | 2021 | |||
Kaden Hammell | ![]() | 2023 | |||
Kasper Kulonummi | ![]() | 2022 | |||
Kirill Maksimov | ![]() | 2017 | |||
Martin Misiak | ![]() | 2023 | |||
Mason Langenbrunner | ![]() | 2020 | |||
Matias Mantykivi | ![]() | 2019 | |||
Maxim Strbak | ![]() | 2023 | |||
Viktor Persson | ![]() | 2020 | |||
Viljami Marjala | ![]() | 2021 |
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