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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 98.00 | 68 | 40 | 86 | 83 | 76 | 77 | 90 | 78 | 54 | 82 | 80 | 66 | 63 | 61 | 58 | 0 | 79 | 25 | 2,800,000$/8yrs | |||||
![]() | LW/RW | 100.00 | 65 | 40 | 84 | 79 | 77 | 81 | 79 | 79 | 55 | 83 | 79 | 69 | 82 | 68 | 59 | 0 | 79 | 25 | 8,700,000$/4yrs | |||||
![]() | LW/RW | 98.00 | 80 | 65 | 77 | 73 | 87 | 76 | 87 | 66 | 60 | 71 | 72 | 68 | 63 | 68 | 65 | 0 | 75 | 29 | 5,500,000$/5yrs | |||||
![]() | C/LW | 97.00 | 64 | 65 | 77 | 75 | 79 | 74 | 89 | 71 | 78 | 79 | 68 | 62 | 54 | 72 | 60 | 0 | 74 | 28 | 3,000,000$/2yrs | |||||
![]() | C/LW/RW | 98.00 | 70 | 40 | 85 | 75 | 73 | 71 | 93 | 66 | 67 | 77 | 65 | 76 | 93 | 68 | 59 | 0 | 74 | 29 | 3,500,000$/3yrs | |||||
![]() | C | 98.00 | 82 | 74 | 88 | 67 | 76 | 73 | 94 | 64 | 81 | 73 | 66 | 79 | 54 | 73 | 65 | 0 | 74 | 30 | 3,250,000$/4yrs | |||||
![]() | RW | 100.00 | 63 | 40 | 92 | 75 | 84 | 74 | 76 | 65 | 52 | 84 | 59 | 62 | 63 | 89 | 66 | 0 | 73 | 34 | 8,250,000$/2yrs | |||||
![]() | LW | 100.00 | 82 | 70 | 85 | 67 | 95 | 63 | 94 | 60 | 60 | 71 | 62 | 67 | 54 | 92 | 69 | 0 | 72 | 35 | 6,000,000$/2yrs | |||||
![]() | C | 100.00 | 74 | 57 | 87 | 70 | 80 | 68 | 88 | 62 | 83 | 72 | 66 | 74 | 54 | 60 | 58 | 0 | 72 | 28 | 2,000,000$/3yrs | |||||
![]() | RW | 99.00 | 80 | 40 | 90 | 62 | 73 | 70 | 93 | 64 | 56 | 74 | 64 | 74 | 54 | 74 | 67 | 0 | 72 | 32 | 2,000,000$/3yrs | |||||
![]() | C | 100.00 | 78 | 69 | 75 | 64 | 78 | 71 | 80 | 62 | 59 | 73 | 64 | 72 | 54 | 63 | 59 | 0 | 71 | 26 | 2,750,000$/2yrs | |||||
![]() | D | 100.00 | 90 | 76 | 77 | 73 | 91 | 75 | 88 | 62 | 40 | 74 | 60 | 85 | 54 | 84 | 66 | 0 | 77 | 34 | 850,000$/4yrs | |||||
![]() | D | 100.00 | 68 | 40 | 86 | 79 | 69 | 86 | 88 | 61 | 40 | 74 | 59 | 92 | 54 | 80 | 60 | 0 | 76 | 33 | 5,000,000$/2yrs | |||||
![]() | D | 100.00 | 65 | 58 | 79 | 79 | 81 | 82 | 83 | 68 | 40 | 79 | 63 | 71 | 56 | 76 | 60 | 0 | 75 | 32 | 6,500,000$/5yrs | |||||
![]() | D | 100.00 | 74 | 40 | 79 | 72 | 75 | 80 | 82 | 60 | 40 | 71 | 61 | 83 | 54 | 60 | 58 | 0 | 73 | 26 | 1,350,000$/2yrs | |||||
![]() | D | 100.00 | 67 | 40 | 79 | 68 | 74 | 77 | 81 | 61 | 40 | 73 | 58 | 83 | 54 | 59 | 58 | 0 | 72 | 24 | 900,000$/2yrs | |||||
![]() | D | 100.00 | 70 | 40 | 76 | 66 | 90 | 77 | 72 | 57 | 40 | 64 | 55 | 79 | 54 | 77 | 65 | 0 | 70 | 34 | 5,625,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C | 95.08 | 72 | 47 | 82 | 72 | 76 | 74 | 87 | 66 | 76 | 75 | 68 | 73 | 64 | 60 | 58 | 0 | 74 | 26 | 3,000,000$/5yrs | |||||
![]() | C | 100.00 | 66 | 40 | 86 | 71 | 72 | 69 | 84 | 64 | 75 | 74 | 65 | 69 | 54 | 62 | 58 | 0 | 71 | 25 | 825,000$/2yrs | |||||
![]() | C | 100.00 | 72 | 40 | 89 | 65 | 75 | 62 | 75 | 61 | 68 | 72 | 63 | 70 | 54 | 63 | 67 | 0 | 70 | 26 | 1,200,000$/2yrs | |||||
![]() | D | 100.00 | 63 | 40 | 81 | 77 | 72 | 80 | 73 | 55 | 40 | 69 | 55 | 74 | 54 | 58 | 58 | 0 | 69 | 21 | 1,775,000$/4yrs | |||||
TEAM AVERAGE | 99.19 | 72 | 51 | 83 | 72 | 79 | 74 | 85 | 64 | 57 | 74 | 64 | 74 | 59 | 70 | 62 | 0 | 73 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 40 | 96.00 | 85 | 91 | 91 | 76 | 84 | 72 | 87 | 84 | 89 | 76 | 93 | 63 | 56 | 0 | 84 | 27 | 3,400,000$/3yrs | |
![]() | 31 | 100.00 | 67 | 66 | 67 | 86 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 63 | 69 | 0 | 68 | 24 | 817,500$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.00 | 76 | 79 | 79 | 81 | 75 | 69 | 77 | 75 | 77 | 72 | 80 | 63 | 63 | 0 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Scotty Bowman | 55 | 55 | 55 | 55 | 55 | 55 | 70 | CAN | 89 | 4 | 0$ |
General Manager | Garbis Gabo Garabedian |
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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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jordan Kyrou | ![]() | 25 | C | 24 | 11 | 5 | 16 | -9 | 0 | 0 | 24 | 74 | 24 | 56 | 14.86% | 0 | 18.98 | 3 | 1 | 4 | 0 | 0 | 0 | 11 | 2 | 0 | 43.90% | 0 | 0 | 0.67 | 0 | 1 | 0.63 | ||
2 | Max Domi | ![]() | 0 | C/LW | 24 | 4 | 9 | 13 | -8 | 24 | 10 | 27 | 39 | 10 | 18 | 10.26% | 1 | 18.09 | 3 | 3 | 6 | 0 | 0 | 0 | 11 | 2 | 0 | 47.64% | 0 | 0 | 0.54 | 0 | 0 | 0.21 | ||
3 | Patrik Laine | ![]() | 0 | LW/RW | 24 | 4 | 9 | 13 | -1 | 4 | 0 | 27 | 69 | 21 | 60 | 5.80% | 5 | 17.23 | 0 | 3 | 3 | 0 | 0 | 0 | 4 | 1 | 1 | 46.67% | 0 | 0 | 0.54 | 0 | 1 | 0.63 | ||
4 | T.J. Brodie | ![]() | 0 | D | 24 | 2 | 10 | 12 | -8 | 14 | 0 | 20 | 33 | 8 | 20 | 6.06% | 24 | 23.44 | 2 | 2 | 4 | 0 | 0 | 0 | 78 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.27 | ||
5 | Torey Krug | ![]() | 14 | D | 24 | 4 | 8 | 12 | -8 | 19 | 5 | 36 | 24 | 10 | 18 | 16.67% | 20 | 22.63 | 2 | 3 | 5 | 0 | 0 | 0 | 46 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.24 | ||
6 | Nicolas Roy | ![]() | 10 | C | 24 | 5 | 7 | 12 | 1 | 10 | 0 | 30 | 46 | 11 | 25 | 10.87% | 2 | 15.09 | 0 | 6 | 6 | 0 | 0 | 0 | 8 | 1 | 0 | 51.18% | 0 | 0 | 0.50 | 0 | 0 | 0.47 | ||
7 | Adam Lowry | ![]() | 0 | C | 24 | 3 | 9 | 12 | 2 | 6 | 0 | 49 | 46 | 11 | 35 | 6.52% | 6 | 19.43 | 1 | 2 | 3 | 0 | 0 | 0 | 77 | 0 | 0 | 52.37% | 0 | 0 | 0.50 | 0 | 0 | 0.53 | ||
8 | Erik Brannstrom | ![]() | 55 | D | 24 | 2 | 8 | 10 | 2 | 16 | 0 | 25 | 21 | 16 | 16 | 9.52% | 26 | 19.74 | 0 | 2 | 2 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 0 | 0.34 | ||
9 | Jakub Voracek | ![]() | 0 | RW | 24 | 3 | 6 | 9 | -2 | 2 | 0 | 11 | 32 | 9 | 19 | 9.38% | 1 | 15.01 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 0 | 0 | 0.38 | 1 | 1 | 0.33 | ||
10 | Alexander Kerfoot | ![]() | 0 | C/LW/RW | 27 | 3 | 6 | 9 | 6 | 8 | 0 | 24 | 34 | 15 | 53 | 8.82% | 1 | 13.77 | 1 | 0 | 1 | 0 | 0 | 0 | 31 | 1 | 1 | 50.00% | 0 | 0 | 0.33 | 1 | 1 | 0.40 | ||
11 | Jake Muzzin | ![]() | 0 | D | 23 | 2 | 6 | 8 | 9 | 24 | 0 | 25 | 7 | 3 | 5 | 28.57% | 19 | 14.17 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 1 | 0 | 0.00% | 0 | 0 | 0.35 | 0 | 0 | 0.27 | ||
12 | Josh Anderson | ![]() | 0 | LW/RW | 22 | 6 | 1 | 7 | -5 | 24 | 0 | 39 | 30 | 3 | 17 | 20.00% | 0 | 16.78 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 39.47% | 0 | 0 | 0.32 | 0 | 0 | 0.10 | ||
13 | Jesper Fast | ![]() | 22 | RW | 24 | 1 | 4 | 5 | -3 | 12 | 0 | 35 | 30 | 7 | 21 | 3.33% | 5 | 13.93 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 1 | 0 | 35.71% | 0 | 0 | 0.21 | 0 | 0 | 0.15 | ||
14 | Milan Lucic | ![]() | 69 | LW | 24 | 1 | 3 | 4 | 1 | 4 | 0 | 21 | 21 | 2 | 11 | 4.76% | 0 | 9.22 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 40.00% | 0 | 0 | 0.17 | 0 | 0 | 0.19 | ||
15 | Luke Kunin | ![]() | 17 | C | 17 | 1 | 3 | 4 | 1 | 8 | 0 | 12 | 5 | 1 | 10 | 20.00% | 0 | 6.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.24 | 0 | 0 | 0.15 | ||
16 | Caleb Jones | ![]() | 82 | D | 24 | 1 | 3 | 4 | -1 | 51 | 5 | 58 | 13 | 2 | 7 | 7.69% | 29 | 17.11 | 1 | 0 | 1 | 0 | 0 | 0 | 67 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | -0.14 | ||
17 | Luke Schenn | ![]() | 3 | D | 24 | 0 | 3 | 3 | -11 | 31 | 5 | 68 | 29 | 6 | 17 | 0.00% | 23 | 19.11 | 0 | 2 | 2 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | -0.11 | ||
18 | Sam Steel | ![]() | 87 | C | 8 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 8 | 3 | 8 | 12.50% | 0 | 8.03 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 42.86% | 0 | 0 | 0.25 | 0 | 0 | 0.26 | ||
19 | Nico Sturm | ![]() | 81 | C | 24 | 1 | 1 | 2 | -7 | 8 | 0 | 12 | 26 | 7 | 20 | 3.85% | 8 | 11.56 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0 | 0 | 57.01% | 0 | 0 | 0.08 | 0 | 0 | 0.01 | ||
Team Total or Average | 433 | 55 | 102 | 157 | -41 | 265 | 25 | 543 | 587 | 169 | 436 | 9.37% | 170 | 16.21 | 16 | 27 | 43 | 892 | 0 | 0 | 0 | 645 | 9 | 2 | 50.46% | 1738 | 0 | 0 | 0 | 0 | 0.45 | 2 | 4 |
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 | Alexandar Georgiev | ![]() | 23 | 11 | 11 | 0 | 0.897 | 2.67 | 1238 | 2 | 3 | 55 | 535 | 0 | 0 | 0 | 1.000 | 3 | 23 | 1 | 4 | 2 | 1 |
2 | Keith Petruzzelli | ![]() | 5 | 0 | 2 | 0 | 0.865 | 3.85 | 156 | 0 | 0 | 10 | 74 | 0 | 0 | 0 | 0.000 | 0 | 1 | 13 | 0 | 0 | 0 |
Team Total or Average | 28 | 11 | 13 | 0 | 0.893 | 2.80 | 1394 | 2 | 3 | 65 | 609 | 0 | 0 | 0 | 1.000 | 3 | 24 | 14 | 4 | 2 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 1 | 17 | 3 | 5 | 8 | 1 | 17 | 10 | 10 | 19 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 22 | 14 | 24 | 7 | 13 | 6 | 75.0% | 17.6% | 88.2% | 105.9 | FUN |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 21 | 8 | 7 | 6 | 0 | 23 | 4 | 8 | 21 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 25 | 17 | 20 | 8 | 13 | 6 | 12.5% | 9.5% | 69.6% | 79.1 | FUN |
3 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 1 | 1 | 48 | 16 | 9 | 21 | 2 | 46 | 10 | 14 | 55 | 11 | 1 | 9.09% | 7 | 1 | 85.71% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 48 | 31 | 49 | 17 | 26 | 13 | 50.0% | 4.2% | 95.7% | 99.8 | DULL |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 27 | 6 | 11 | 10 | 0 | 25 | 7 | 7 | 24 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 19 | 13 | 25 | 7 | 14 | 7 | 16.7% | 3.7% | 80.0% | 83.7 | Unlucky |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 25 | 10 | 5 | 10 | 0 | 16 | 9 | 12 | 26 | 5 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 24 | 16 | 23 | 7 | 12 | 5 | 100.0% | 4.0% | 100.0% | 104.0 | DULL |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 18 | 3 | 5 | 10 | 0 | 26 | 2 | 21 | 22 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 21 | 13 | 24 | 9 | 13 | 6 | 60.0% | 16.7% | 92.3% | 109.0 | LUCKY |
7 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 14 | 6 | 4 | 0 | 30 | 8 | 8 | 21 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 21 | 14 | 25 | 6 | 12 | 6 | 100.0% | 8.3% | 96.7% | 105.0 | DULL |
8 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 30 | 13 | 7 | 10 | 0 | 29 | 7 | 8 | 16 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 22 | 14 | 24 | 7 | 13 | 6 | 40.0% | 13.3% | 89.7% | 103.0 | FUN |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 20 | 3 | 8 | 9 | 0 | 30 | 12 | 4 | 14 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 24 | 17 | 22 | 6 | 12 | 6 | 33.3% | 15.0% | 86.7% | 101.7 | FUN |
10 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 24 | 6 | 9 | 9 | 0 | 28 | 8 | 4 | 15 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 26 | 19 | 22 | 6 | 11 | 5 | 40.0% | 8.3% | 89.3% | 97.6 | Unlucky |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 9 | 8 | 9 | 0 | 28 | 1 | 17 | 27 | 2 | 1 | 50.00% | 6 | 1 | 83.33% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 23 | 15 | 24 | 7 | 12 | 5 | 0.0% | 3.8% | 92.9% | 96.7 | DULL |
12 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 45 | 19 | 17 | 9 | 0 | 48 | 22 | 27 | 34 | 7 | 1 | 14.29% | 11 | 2 | 81.82% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 44 | 29 | 50 | 16 | 25 | 12 | 80.0% | 11.1% | 93.8% | 104.9 | LUCKY |
13 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 2 | 3 | 1 | 1 | 61 | 16 | 27 | 17 | 4 | 54 | 12 | 16 | 35 | 10 | 2 | 20.00% | 7 | 4 | 42.86% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 50 | 34 | 47 | 16 | 26 | 12 | 50.0% | 11.5% | 83.3% | 94.8 | FUN |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 17 | 7 | 6 | 4 | 0 | 37 | 5 | 12 | 33 | 10 | 2 | 20.00% | 6 | 1 | 83.33% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 23 | 15 | 23 | 7 | 12 | 6 | 0.0% | 11.8% | 83.8% | 95.5 | FUN |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 0 | 2 | 1 | 0 | 24 | 6 | 12 | 6 | 0 | 30 | 5 | 8 | 15 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 24 | 16 | 23 | 7 | 12 | 6 | 100.0% | 12.5% | 100.0% | 112.5 | LUCKY |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 19 | 4 | 10 | 5 | 0 | 37 | 9 | 14 | 25 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 21 | 13 | 24 | 8 | 13 | 6 | 40.0% | 10.5% | 91.9% | 102.4 | LUCKY |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 42 | 13 | 8 | 21 | 0 | 31 | 7 | 18 | 25 | 3 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 23 | 16 | 25 | 7 | 11 | 5 | 57.1% | 9.5% | 77.4% | 86.9 | FUN |
18 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 10 | 6 | 17 | 0 | 20 | 7 | 10 | 28 | 7 | 2 | 28.57% | 4 | 4 | 0.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 26 | 18 | 21 | 6 | 11 | 6 | 0.0% | 6.1% | 75.0% | 81.1 | Unlucky |
19 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 29 | 11 | 10 | 8 | 0 | 19 | 6 | 6 | 27 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 25 | 17 | 21 | 7 | 13 | 6 | 100.0% | 17.2% | 94.7% | 112.0 | LUCKY |
20 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 2 | 0.500 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 41 | 14 | 19 | 8 | 0 | 57 | 23 | 27 | 46 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 42 | 28 | 51 | 16 | 25 | 11 | 33.3% | 2.4% | 93.0% | 95.4 | DULL |
_Vs Division | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 20 | 24 | -4 | 6 | 0.500 | 20 | 37 | 57 | 0 | 0 | 8 | 3 | 9 | 0 | 169 | 57 | 42 | 70 | 0 | 162 | 34 | 75 | 151 | 33 | 7 | 21.21% | 30 | 10 | 66.67% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 142 | 95 | 140 | 46 | 76 | 37 | 48.1% | 11.8% | 85.2% | 97.0 | FUN | |
_Vs Conference | 15 | 6 | 8 | 0 | 0 | 0 | 1 | 0 | 39 | 45 | -6 | 14 | 0.467 | 39 | 69 | 108 | 0 | 2 | 14 | 10 | 14 | 1 | 390 | 127 | 134 | 128 | 4 | 407 | 105 | 174 | 323 | 64 | 11 | 17.19% | 69 | 19 | 72.46% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 353 | 240 | 361 | 116 | 190 | 92 | 51.9% | 10.0% | 88.9% | 98.9 | FUN | |
_Since Last GM Reset | 24 | 8 | 13 | 0 | 2 | 0 | 1 | 0 | 55 | 69 | -14 | 22 | 0.458 | 55 | 101 | 156 | 0 | 3 | 17 | 12 | 23 | 3 | 591 | 191 | 195 | 201 | 7 | 631 | 174 | 251 | 528 | 99 | 15 | 15.15% | 105 | 22 | 79.05% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 561 | 379 | 577 | 185 | 310 | 151 | 46.0% | 9.3% | 89.1% | 98.4 | FUN | |
Total | 24 | 8 | 13 | 0 | 2 | 0 | 1 | 0 | 55 | 69 | -14 | 22 | 0.458 | 55 | 101 | 156 | 0 | 3 | 17 | 12 | 23 | 3 | 591 | 191 | 195 | 201 | 7 | 631 | 174 | 251 | 528 | 99 | 15 | 15.15% | 105 | 22 | 79.05% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 561 | 379 | 577 | 185 | 310 | 151 | 46.0% | 9.3% | 89.1% | 98.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 755 |
Neutral Zone Start | 353 |
Defensive Zone Start | 755 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 949 |
Faceoffs Lost | 914 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 16.1 | 20.31 |
3rd Period | 24.5 | 30.68 |
Overtime | 24.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.2 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 15 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 9 | 2 |
Lost | 5 | 8 |
Overtime Lost | 0 | 0 |
PP Attempt | 99 |
---|---|
PP Goal | 15 |
PK Attempt | 105 |
PK Goal Against | 22 |
Home | |
---|---|
Shots For | 24.6 |
Shots Against | 26.3 |
Goals For | 2.3 |
Goals Against | 2.9 |
Hits | 22.0 |
Shots Blocked | 7.3 |
Pim | 10.5 |
![]() | |
Projected Total Cap Hit | 78,992,500$ |
Projected Cap Space | 3,507,500$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 24,686,026$ |
Players In Salary Cap | 23 |
Contracts | 52/50 |
LTIR Players | 0 |
Wild Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry ![]() | C | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||
Alexandar Georgiev ![]() | G | 27 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||||
Alexander Kerfoot ![]() | C/LW/RW | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Caleb Jones ![]() | D | 26 | 1,350,000$ | 1,350,000$ | 775,000$ | UFA | |||||
Colin White ![]() | C | 26 | 1,200,000$ | 1,200,000$ | 775,000$ | UFA | |||||
Erik Brannstrom ![]() | D | 24 | 900,000$ | 900,000$ | 2,000,000$ | ![]() | |||||
Jake Muzzin ![]() | D | 34 | 5,625,000$ | 5,625,000$ | 5,625,000$ | UFA | |||||
Jakub Voracek ![]() | RW | 34 | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA | |||||
Jamie Drysdale ![]() | D | 21 | 1,775,000$ | 1,775,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | ![]() | |||
Jesper Fast ![]() | RW | 32 | 2,000,000$ | 2,000,000$ | 2,400,000$ | 2,400,000$ | UFA | ||||
Jordan Kyrou ![]() | C | 25 | 2,800,000$ | 2,800,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ |
Josh Anderson ![]() | LW/RW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||
Keith Petruzzelli ![]() | G | 24 | 817,500$ | 817,500$ | 817,500$ | ![]() | |||||
Luke Kunin ![]() | C | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ![]() | |||||
Luke Schenn ![]() | D | 34 | 850,000$ | 850,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||
Max Domi ![]() | C/LW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Milan Lucic ![]() | LW | 35 | 6,000,000$ | 6,000,000$ | 1,500,000$ | UFA | |||||
Nico Sturm ![]() | C | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Nicolas Roy ![]() | C | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||
Patrik Laine ![]() | LW/RW | 25 | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | UFA | |||
Sam Steel ![]() | C | 25 | 825,000$ | 825,000$ | 850,000$ | ![]() | |||||
T.J. Brodie ![]() | D | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Torey Krug ![]() | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kisakov ![]() | RW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Anton Khudobin ![]() | G | 37 | 3,333,333$ | 3,333,333$ | UFA | ||||||
Antonio Stranges ![]() | C | 21 | 893,333$ | 893,333$ | 893,333$ | 893,333$ | RFA | ||||
Arber Xhekaj ![]() | D | 22 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Brandon Coe ![]() | C | 22 | 925,000$ | 925,000$ | RFA | ||||||
Brandt Clarke ![]() | D | 20 | 1,713,333$ | 1,713,333$ | 1,713,333$ | 1,713,333$ | RFA | ||||
Cam Dineen ![]() | D | 25 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Connor McMichael ![]() | C | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Corey Schueneman ![]() | D | 28 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Daemon Hunt ![]() | D | 21 | 902,500$ | 902,500$ | 902,500$ | RFA | |||||
Dominik Bokk ![]() | C | 23 | 1,075,833$ | 1,075,833$ | RFA | ||||||
Filip Hallander ![]() | C | 23 | 913,333$ | 913,333$ | RFA | ||||||
J.J. Peterka ![]() | RW | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Jack St.Ivany ![]() | D | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Jacob Bernard-Docker ![]() | D | 23 | 1,208,333$ | 1,208,333$ | 805,000$ | 805,000$ | ![]() | ||||
Jake Sanderson ![]() | D | 21 | 1,850,000$ | 1,850,000$ | 8,050,000$ | 8,050,000$ | 8,050,000$ | 8,050,000$ | 8,050,000$ | 8,050,000$ | 8,050,000$ |
Joey Anderson ![]() | RW | 25 | 750,000$ | 750,000$ | 800,000$ | ![]() | |||||
Jonathan Bernier ![]() | G | 35 | 4,125,000$ | 4,125,000$ | UFA | ||||||
Juraj Slafkovsky ![]() | LW | 19 | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | RFA | ||||
Louie Belpedio ![]() | D | 27 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Matthew Robertson ![]() | D | 22 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
Oskar Back ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Samu Tuomaala ![]() | C | 20 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Samuel Houde ![]() | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Scott Perunovich ![]() | D | 25 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Spencer Knight ![]() | G | 22 | 2,491,667$ | 2,491,667$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | ![]() | |||
Spencer Stastney ![]() | D | 23 | 925,000$ | 925,000$ | RFA | ||||||
Viktor Lodin ![]() | C/LW | 24 | 830,000$ | 830,000$ | ![]() | ||||||
Vladislav Firstov ![]() | C/LW | 22 | 750,000$ | 925,000$ | 925,000$ | RFA |
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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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 1 | 17 | 3 | 5 | 8 | 1 | 17 | 10 | 10 | 19 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 22 | 14 | 24 | 7 | 13 | 6 | 75.0% | 17.6% | 88.2% | 105.9 | FUN |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 21 | 8 | 7 | 6 | 0 | 23 | 4 | 8 | 21 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 25 | 17 | 20 | 8 | 13 | 6 | 12.5% | 9.5% | 69.6% | 79.1 | FUN |
3 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 1 | 1 | 48 | 16 | 9 | 21 | 2 | 46 | 10 | 14 | 55 | 11 | 1 | 9.09% | 7 | 1 | 85.71% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 48 | 31 | 49 | 17 | 26 | 13 | 50.0% | 4.2% | 95.7% | 99.8 | DULL |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 27 | 6 | 11 | 10 | 0 | 25 | 7 | 7 | 24 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 19 | 13 | 25 | 7 | 14 | 7 | 16.7% | 3.7% | 80.0% | 83.7 | Unlucky |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 25 | 10 | 5 | 10 | 0 | 16 | 9 | 12 | 26 | 5 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 24 | 16 | 23 | 7 | 12 | 5 | 100.0% | 4.0% | 100.0% | 104.0 | DULL |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 18 | 3 | 5 | 10 | 0 | 26 | 2 | 21 | 22 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 21 | 13 | 24 | 9 | 13 | 6 | 60.0% | 16.7% | 92.3% | 109.0 | LUCKY |
7 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 14 | 6 | 4 | 0 | 30 | 8 | 8 | 21 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 21 | 14 | 25 | 6 | 12 | 6 | 100.0% | 8.3% | 96.7% | 105.0 | DULL |
8 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 30 | 13 | 7 | 10 | 0 | 29 | 7 | 8 | 16 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 22 | 14 | 24 | 7 | 13 | 6 | 40.0% | 13.3% | 89.7% | 103.0 | FUN |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 20 | 3 | 8 | 9 | 0 | 30 | 12 | 4 | 14 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 24 | 17 | 22 | 6 | 12 | 6 | 33.3% | 15.0% | 86.7% | 101.7 | FUN |
10 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 24 | 6 | 9 | 9 | 0 | 28 | 8 | 4 | 15 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 26 | 19 | 22 | 6 | 11 | 5 | 40.0% | 8.3% | 89.3% | 97.6 | Unlucky |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 9 | 8 | 9 | 0 | 28 | 1 | 17 | 27 | 2 | 1 | 50.00% | 6 | 1 | 83.33% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 23 | 15 | 24 | 7 | 12 | 5 | 0.0% | 3.8% | 92.9% | 96.7 | DULL |
12 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 45 | 19 | 17 | 9 | 0 | 48 | 22 | 27 | 34 | 7 | 1 | 14.29% | 11 | 2 | 81.82% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 44 | 29 | 50 | 16 | 25 | 12 | 80.0% | 11.1% | 93.8% | 104.9 | LUCKY |
13 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 2 | 3 | 1 | 1 | 61 | 16 | 27 | 17 | 4 | 54 | 12 | 16 | 35 | 10 | 2 | 20.00% | 7 | 4 | 42.86% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 50 | 34 | 47 | 16 | 26 | 12 | 50.0% | 11.5% | 83.3% | 94.8 | FUN |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 17 | 7 | 6 | 4 | 0 | 37 | 5 | 12 | 33 | 10 | 2 | 20.00% | 6 | 1 | 83.33% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 23 | 15 | 23 | 7 | 12 | 6 | 0.0% | 11.8% | 83.8% | 95.5 | FUN |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 0 | 2 | 1 | 0 | 24 | 6 | 12 | 6 | 0 | 30 | 5 | 8 | 15 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 24 | 16 | 23 | 7 | 12 | 6 | 100.0% | 12.5% | 100.0% | 112.5 | LUCKY |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 19 | 4 | 10 | 5 | 0 | 37 | 9 | 14 | 25 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 21 | 13 | 24 | 8 | 13 | 6 | 40.0% | 10.5% | 91.9% | 102.4 | LUCKY |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 42 | 13 | 8 | 21 | 0 | 31 | 7 | 18 | 25 | 3 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 23 | 16 | 25 | 7 | 11 | 5 | 57.1% | 9.5% | 77.4% | 86.9 | FUN |
18 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 10 | 6 | 17 | 0 | 20 | 7 | 10 | 28 | 7 | 2 | 28.57% | 4 | 4 | 0.00% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 26 | 18 | 21 | 6 | 11 | 6 | 0.0% | 6.1% | 75.0% | 81.1 | Unlucky |
19 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 29 | 11 | 10 | 8 | 0 | 19 | 6 | 6 | 27 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 25 | 17 | 21 | 7 | 13 | 6 | 100.0% | 17.2% | 94.7% | 112.0 | LUCKY |
20 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 2 | 0.500 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 41 | 14 | 19 | 8 | 0 | 57 | 23 | 27 | 46 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 42 | 28 | 51 | 16 | 25 | 11 | 33.3% | 2.4% | 93.0% | 95.4 | DULL |
_Vs Division | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 20 | 24 | -4 | 6 | 0.500 | 20 | 37 | 57 | 0 | 0 | 8 | 3 | 9 | 0 | 169 | 57 | 42 | 70 | 0 | 162 | 34 | 75 | 151 | 33 | 7 | 21.21% | 30 | 10 | 66.67% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 142 | 95 | 140 | 46 | 76 | 37 | 48.1% | 11.8% | 85.2% | 97.0 | FUN | |
_Vs Conference | 15 | 6 | 8 | 0 | 0 | 0 | 1 | 0 | 39 | 45 | -6 | 14 | 0.467 | 39 | 69 | 108 | 0 | 2 | 14 | 10 | 14 | 1 | 390 | 127 | 134 | 128 | 4 | 407 | 105 | 174 | 323 | 64 | 11 | 17.19% | 69 | 19 | 72.46% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 353 | 240 | 361 | 116 | 190 | 92 | 51.9% | 10.0% | 88.9% | 98.9 | FUN | |
_Since Last GM Reset | 24 | 8 | 13 | 0 | 2 | 0 | 1 | 0 | 55 | 69 | -14 | 22 | 0.458 | 55 | 101 | 156 | 0 | 3 | 17 | 12 | 23 | 3 | 591 | 191 | 195 | 201 | 7 | 631 | 174 | 251 | 528 | 99 | 15 | 15.15% | 105 | 22 | 79.05% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 561 | 379 | 577 | 185 | 310 | 151 | 46.0% | 9.3% | 89.1% | 98.4 | FUN | |
Total | 24 | 8 | 13 | 0 | 2 | 0 | 1 | 0 | 55 | 69 | -14 | 22 | 0.458 | 55 | 101 | 156 | 0 | 3 | 17 | 12 | 23 | 3 | 591 | 191 | 195 | 201 | 7 | 631 | 174 | 251 | 528 | 99 | 15 | 15.15% | 105 | 22 | 79.05% | 0 | 378 | 755 | 50.07% | 391 | 755 | 51.79% | 180 | 353 | 50.99% | 561 | 379 | 577 | 185 | 310 | 151 | 46.0% | 9.3% | 89.1% | 98.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 755 |
Neutral Zone Start | 353 |
Defensive Zone Start | 755 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 949 |
Faceoffs Lost | 914 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 16.1 | 20.31 |
3rd Period | 24.5 | 30.68 |
Overtime | 24.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.2 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 15 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 9 | 2 |
Lost | 5 | 8 |
Overtime Lost | 0 | 0 |
PP Attempt | 99 |
---|---|
PP Goal | 15 |
PK Attempt | 105 |
PK Goal Against | 22 |
Home | |
---|---|
Shots For | 24.6 |
Shots Against | 26.3 |
Goals For | 2.3 |
Goals Against | 2.9 |
Hits | 22.0 |
Shots Blocked | 7.3 |
Pim | 10.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thu, Oct 19 | ![]() | @ | ![]() | NYR1,MIN2 | RECAP | |||||||||
Sat, Oct 21 | ![]() | @ | ![]() | LAK1,MIN4 | RECAP | |||||||||
Mon, Oct 23 | ![]() | @ | ![]() | COL2,MIN3 | RECAP | |||||||||
Thu, Oct 26 | ![]() | @ | ![]() | VAN0,MIN3 | RECAP | |||||||||
Sat, Oct 28 | ![]() | @ | ![]() | MIN1,BOS5 | RECAP | |||||||||
Tue, Oct 31 | ![]() | @ | ![]() | MIN0,MON1 | RECAP | |||||||||
Thu, Nov 2 | ![]() | @ | ![]() | MIN2,OTT7 | RECAP | |||||||||
Sat, Nov 4 | ![]() | @ | ![]() | MIN3,DET4 | RECAP | |||||||||
Sun, Nov 5 | ![]() | @ | ![]() | MIN4,CHI3 | RECAP | |||||||||
Tue, Nov 7 | ![]() | @ | ![]() | MON1,MIN2 (OT) | RECAP | |||||||||
Thu, Nov 9 | ![]() | @ | ![]() | KRA4,MIN0 | RECAP | |||||||||
Tue, Nov 14 | ![]() | @ | ![]() | MIN1,LAK2 | RECAP | |||||||||
Wed, Nov 15 | ![]() | @ | ![]() | MIN4,ANA7 | RECAP | |||||||||
Fri, Nov 17 | ![]() | @ | ![]() | MIN1,KRA0 | RECAP | |||||||||
Sun, Nov 19 | ![]() | @ | ![]() | SAN3,MIN2 | RECAP | |||||||||
Tue, Nov 21 | ![]() | @ | ![]() | MIN2,NAS5 | RECAP | |||||||||
Thu, Nov 23 | ![]() | @ | ![]() | PIT3,MIN2 | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | CAR0,MIN1 | RECAP | |||||||||
Wed, Nov 29 | ![]() | @ | ![]() | WIN1,MIN5 | RECAP | |||||||||
Fri, Dec 1 | ![]() | @ | ![]() | TOR2,MIN3 (OT) | RECAP | |||||||||
Sun, Dec 3 | ![]() | @ | ![]() | ARI7,MIN4 | RECAP | |||||||||
Thu, Dec 7 | ![]() | @ | ![]() | EDM2,MIN1 | RECAP | |||||||||
Sat, Dec 9 | ![]() | @ | ![]() | ANA2,MIN3 (SO) | RECAP | |||||||||
Sun, Dec 10 | ![]() | @ | ![]() | MIN2,DAL6 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,992,500$ | 0$ | 78,992,500$ | 3,507,500$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Xcel Energy Center | |
City | Minnesota | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 90$ | 50$ | 25$ | 17$ | 190$ |
Attendance | 66368 | 52829 | 41240 | 55353 | 11595 |
Attendance PCT | 94.81% | 94.34% | 98.19% | 98.84% | 82.82% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 16242 - 95.54% | 1,361,181$ | 19,056,535$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,992,500$ | 78,992,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
24,686,026$ | 78,992,500$ | 24,686,026$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
36,751,889$ | 130 | 417,950$ | 54,333,500$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
56,961,580$ | 78,992,500$ | 38,915,479$ | 21,331,025$ |
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 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Albin Eriksson | ![]() | 2019 | 60 | Link | |
Artem Manukyan | ![]() | 2019 | 197 | Link | |
Cole Brady | ![]() | 2020 | 161 | Link | |
Cole O'Hara | ![]() | 2023 | 150 | Link | |
Connor Kurth | ![]() | 2023 | 208 | Link | |
Connor Lockhart | ![]() | 2022 | 165 | Link | |
Dominic Basse | ![]() | 2020 | 195 | Link | |
Filip Johansson | ![]() | 2019 | 45 | Link | |
Filip Nordberg | ![]() | 2023 | 101 | Link | |
Henrik Tikkanen | ![]() | 2021 | 184 | Link | |
Isaac Howard | ![]() | 2023 | 43 | Link | |
Jack Peart | ![]() | 2022 | 61 | Link | |
Kirill Dolzhenkov | ![]() | 2023 | 147 | Link | |
Maksymilian Szuber | ![]() | 2023 | 190 | Link | |
Marat Khusnutdinov | ![]() | 2021 | 44 | Link | |
Nikita Chibrikov | ![]() | 2022 | 113 | Link | |
Oscar Plandowski | ![]() | 2022 | 183 | Link | |
Rasmus Korhonen | ![]() | 2022 | 137 | Link | |
Ryan Chesley | ![]() | 2023 | 69 | Link | |
Ryan Healey | ![]() | 2023 | 164 | Link | |
Shai Buium | ![]() | 2022 | 55 | Link | |
Theodore Niederbach | ![]() | 2021 | 78 | Link | |
Tyson Galloway | ![]() | 2022 | 133 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Albin Eriksson | ![]() | 2019 | 60 | Link | |
Artem Manukyan | ![]() | 2019 | 197 | Link | |
Cole Brady | ![]() | 2020 | 161 | Link | |
Cole O'Hara | ![]() | 2023 | 150 | Link | |
Connor Kurth | ![]() | 2023 | 208 | Link | |
Connor Lockhart | ![]() | 2022 | 165 | Link | |
Dominic Basse | ![]() | 2020 | 195 | Link | |
Filip Johansson | ![]() | 2019 | 45 | Link | |
Filip Nordberg | ![]() | 2023 | 101 | Link | |
Henrik Tikkanen | ![]() | 2021 | 184 | Link | |
Isaac Howard | ![]() | 2023 | 43 | Link | |
Jack Peart | ![]() | 2022 | 61 | Link | |
Kirill Dolzhenkov | ![]() | 2023 | 147 | Link | |
Maksymilian Szuber | ![]() | 2023 | 190 | Link | |
Marat Khusnutdinov | ![]() | 2021 | 44 | Link | |
Nikita Chibrikov | ![]() | 2022 | 113 | Link | |
Oscar Plandowski | ![]() | 2022 | 183 | Link | |
Rasmus Korhonen | ![]() | 2022 | 137 | Link | |
Ryan Chesley | ![]() | 2023 | 69 | Link | |
Ryan Healey | ![]() | 2023 | 164 | Link | |
Shai Buium | ![]() | 2022 | 55 | Link | |
Theodore Niederbach | ![]() | 2021 | 78 | Link | |
Tyson Galloway | ![]() | 2022 | 133 | Link |
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