Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jordan Kyrou (A) | C | 100.00 | 68 | 40 | 86 | 83 | 76 | 77 | 90 | 78 | 54 | 82 | 80 | 66 | 63 | 61 | 58 | 0 | 79 | 25 | 2,800,000$/8yrs | |||||
Patrik Laine | LW/RW | 100.00 | 65 | 40 | 84 | 79 | 77 | 81 | 79 | 79 | 55 | 83 | 79 | 69 | 82 | 68 | 59 | 0 | 79 | 25 | 8,700,000$/4yrs | |||||
Max Domi | C/LW | 100.00 | 64 | 65 | 77 | 75 | 79 | 74 | 89 | 71 | 78 | 79 | 68 | 62 | 54 | 72 | 60 | 0 | 74 | 28 | 3,000,000$/2yrs | |||||
Nicolas Roy | C | 100.00 | 72 | 47 | 82 | 72 | 76 | 74 | 87 | 66 | 76 | 75 | 68 | 73 | 64 | 60 | 58 | 0 | 74 | 26 | 3,000,000$/5yrs | |||||
Adam Lowry | C | 100.00 | 82 | 74 | 88 | 67 | 76 | 73 | 94 | 64 | 81 | 73 | 66 | 79 | 54 | 73 | 65 | 0 | 74 | 30 | 3,250,000$/4yrs | |||||
Jakub Voracek | RW | 100.00 | 63 | 40 | 92 | 75 | 84 | 74 | 76 | 65 | 52 | 84 | 59 | 62 | 63 | 89 | 66 | 0 | 73 | 34 | 8,250,000$/2yrs | |||||
Milan Lucic | LW | 100.00 | 82 | 70 | 85 | 67 | 95 | 63 | 94 | 60 | 60 | 71 | 62 | 67 | 54 | 92 | 69 | 0 | 72 | 35 | 6,000,000$/2yrs | |||||
Nico Sturm | C | 100.00 | 74 | 57 | 87 | 70 | 80 | 68 | 88 | 62 | 83 | 72 | 66 | 74 | 54 | 60 | 58 | 0 | 72 | 28 | 2,000,000$/3yrs | |||||
Jake Evans | C/RW | 100.00 | 69 | 60 | 86 | 74 | 70 | 71 | 82 | 63 | 79 | 76 | 61 | 78 | 54 | 59 | 58 | 0 | 72 | 27 | 1,700,000$/3yrs | |||||
Evgenii Dadonov | RW | 100.00 | 66 | 40 | 87 | 71 | 74 | 71 | 89 | 67 | 53 | 77 | 65 | 69 | 58 | 69 | 59 | 0 | 72 | 34 | 5,000,000$/3yrs | |||||
Jesper Fast | RW | 100.00 | 80 | 40 | 90 | 62 | 73 | 70 | 93 | 64 | 56 | 74 | 64 | 74 | 54 | 74 | 67 | 0 | 72 | 31 | 2,000,000$/3yrs | |||||
Sam Steel | C | 100.00 | 66 | 40 | 86 | 71 | 72 | 69 | 84 | 64 | 75 | 74 | 65 | 69 | 54 | 62 | 58 | 0 | 71 | 25 | 825,000$/2yrs | |||||
Luke Kunin | C | 100.00 | 78 | 69 | 75 | 64 | 78 | 71 | 80 | 62 | 59 | 73 | 64 | 72 | 54 | 63 | 59 | 0 | 71 | 25 | 2,750,000$/2yrs | |||||
Colin White | C | 100.00 | 72 | 40 | 89 | 65 | 75 | 62 | 75 | 61 | 68 | 72 | 63 | 70 | 54 | 63 | 67 | 0 | 70 | 26 | 1,200,000$/1yrs | |||||
Luke Schenn (C) | D | 100.00 | 90 | 76 | 77 | 73 | 91 | 75 | 88 | 62 | 40 | 74 | 60 | 85 | 54 | 84 | 66 | 0 | 77 | 33 | 850,000$/4yrs | |||||
T.J. Brodie | D | 100.00 | 68 | 40 | 86 | 79 | 69 | 86 | 88 | 61 | 40 | 74 | 59 | 92 | 54 | 80 | 60 | 0 | 76 | 33 | 5,000,000$/2yrs | |||||
Torey Krug | D | 100.00 | 65 | 58 | 79 | 79 | 81 | 82 | 83 | 68 | 40 | 79 | 63 | 71 | 56 | 76 | 60 | 0 | 75 | 32 | 6,500,000$/5yrs | |||||
Caleb Jones | D | 100.00 | 74 | 40 | 79 | 72 | 75 | 80 | 82 | 60 | 40 | 71 | 61 | 83 | 54 | 60 | 58 | 0 | 73 | 26 | 1,350,000$/2yrs | |||||
Erik Brannstrom | D | 100.00 | 67 | 40 | 79 | 68 | 74 | 77 | 81 | 61 | 40 | 73 | 58 | 83 | 54 | 59 | 58 | 0 | 72 | 24 | 900,000$/2yrs | |||||
Jake Muzzin | D | 100.00 | 70 | 40 | 76 | 66 | 90 | 77 | 72 | 57 | 40 | 64 | 55 | 79 | 54 | 77 | 65 | 0 | 70 | 34 | 5,625,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
Jamie Drysdale | D | 100.00 | 63 | 40 | 81 | 77 | 72 | 80 | 73 | 55 | 40 | 69 | 55 | 74 | 54 | 58 | 58 | 0 | 69 | 21 | 1,775,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 71 | 50 | 83 | 72 | 78 | 74 | 84 | 64 | 58 | 75 | 64 | 74 | 57 | 69 | 61 | 0 | 73 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexandar Georgiev | 40 | 100.00 | 85 | 91 | 91 | 76 | 84 | 72 | 87 | 84 | 89 | 76 | 93 | 63 | 56 | 0 | 84 | 27 | 3,400,000$/3yrs | |
Jonathan Bernier | 0 | 100.00 | 72 | 56 | 58 | 71 | 60 | 80 | 71 | 66 | 64 | 61 | 79 | 71 | 54 | 0 | 68 | 35 | 4,125,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 74 | 75 | 74 | 72 | 76 | 79 | 75 | 77 | 69 | 86 | 67 | 55 | 0 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Scotty Bowman | 55 | 55 | 55 | 55 | 55 | 55 | 70 | CAN | 89 | 4 | 0$ |
General Manager | Garbis Gabo Garabedian |
---|
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 | Wild | 25 | C | 10 | 4 | 4 | 8 | 0 | 2 | 0 | 10 | 34 | 14 | 25 | 11.76% | 3 | 20.27 | 1 | 2 | 3 | 0 | 0 | 0 | 13 | 0 | 0 | 37.04% | 0 | 0 | 0.80 | 0 | 1 | 0.84 | ||
2 | Patrik Laine | Wild | 0 | LW/RW | 10 | 2 | 6 | 8 | -2 | 2 | 0 | 15 | 31 | 12 | 34 | 6.45% | 1 | 17.97 | 1 | 4 | 5 | 0 | 0 | 0 | 13 | 0 | 0 | 26.67% | 0 | 0 | 0.80 | 1 | 1 | 0.77 | ||
3 | T.J. Brodie | Wild | 0 | D | 10 | 2 | 5 | 7 | -1 | 12 | 0 | 7 | 13 | 5 | 9 | 15.38% | 12 | 24.45 | 1 | 3 | 4 | 0 | 0 | 0 | 37 | 1 | 0 | 0.00% | 0 | 0 | 0.70 | 0 | 0 | 0.40 | ||
4 | Torey Krug | Wild | 14 | D | 10 | 3 | 4 | 7 | 4 | 8 | 0 | 12 | 11 | 3 | 8 | 27.27% | 13 | 22.30 | 2 | 2 | 4 | 0 | 0 | 0 | 28 | 0 | 1 | 0.00% | 0 | 0 | 0.70 | 0 | 0 | 0.67 | ||
5 | Max Domi | Wild | 0 | C/LW | 10 | 1 | 5 | 6 | 0 | 6 | 0 | 11 | 18 | 8 | 10 | 5.56% | 1 | 19.05 | 1 | 3 | 4 | 0 | 0 | 0 | 19 | 1 | 0 | 52.34% | 0 | 0 | 0.60 | 0 | 0 | 0.46 | ||
6 | Nicolas Roy | Wild | 10 | C | 10 | 3 | 3 | 6 | 3 | 2 | 0 | 13 | 31 | 7 | 21 | 9.68% | 0 | 16.09 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 26.92% | 0 | 0 | 0.60 | 0 | 0 | 0.79 | ||
7 | Evgenii Dadonov | Wild | 0 | RW | 10 | 2 | 3 | 5 | 2 | 2 | 0 | 2 | 18 | 3 | 17 | 11.11% | 2 | 13.17 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.50 | 1 | 1 | 0.54 | ||
8 | Luke Schenn | Wild | 3 | D | 10 | 0 | 5 | 5 | 0 | 55 | 15 | 22 | 12 | 6 | 8 | 0.00% | 8 | 18.57 | 0 | 2 | 2 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | -0.45 | ||
9 | Adam Lowry | Wild | 0 | C | 10 | 3 | 2 | 5 | 6 | 12 | 0 | 20 | 17 | 3 | 19 | 17.65% | 2 | 18.17 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | 0 | 53.49% | 0 | 0 | 0.50 | 0 | 0 | 0.56 | ||
10 | Jesper Fast | Wild | 22 | RW | 10 | 2 | 2 | 4 | 0 | 6 | 0 | 20 | 9 | 2 | 7 | 22.22% | 5 | 15.51 | 1 | 0 | 1 | 0 | 0 | 0 | 27 | 1 | 0 | 66.67% | 0 | 0 | 0.40 | 0 | 0 | 0.33 | ||
11 | Erik Brannstrom | Wild | 55 | D | 10 | 1 | 2 | 3 | -2 | 18 | 0 | 12 | 7 | 3 | 6 | 14.29% | 13 | 18.32 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 1 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | -0.04 | ||
12 | Jake Muzzin | Wild | 0 | D | 7 | 1 | 2 | 3 | -1 | 8 | 0 | 9 | 2 | 1 | 1 | 50.00% | 5 | 13.33 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.13 | ||
13 | Caleb Jones | Wild | 82 | D | 10 | 0 | 3 | 3 | 4 | 6 | 0 | 21 | 9 | 2 | 10 | 0.00% | 15 | 19.31 | 0 | 1 | 1 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.42 | ||
14 | Nico Sturm | Wild | 81 | C | 10 | 0 | 2 | 2 | -3 | 2 | 0 | 5 | 10 | 1 | 5 | 0.00% | 3 | 9.82 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 50.45% | 0 | 0 | 0.20 | 0 | 0 | 0.06 | ||
15 | Jake Evans | Wild | 0 | C/RW | 10 | 1 | 1 | 2 | -1 | 2 | 0 | 9 | 13 | 7 | 12 | 7.69% | 2 | 15.31 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 49.02% | 0 | 0 | 0.20 | 0 | 0 | 0.20 | ||
16 | Milan Lucic | Wild | 69 | LW | 10 | 1 | 0 | 1 | 0 | 2 | 0 | 20 | 7 | 1 | 4 | 14.29% | 2 | 12.44 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 37.50% | 0 | 0 | 0.10 | 0 | 0 | 0.15 | ||
17 | Jakub Voracek | Wild | 0 | RW | 10 | 1 | 0 | 1 | -5 | 0 | 0 | 5 | 7 | 8 | 8 | 14.29% | 2 | 15.53 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.10 | 0 | 1 | -0.02 | ||
18 | Sam Steel | Wild | 87 | C | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 1 | 3 | 0.00% | 0 | 5.67 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | ||
19 | Luke Kunin | Wild | 17 | C | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 1.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | ||
Team Total or Average | 180 | 27 | 49 | 76 | 4 | 147 | 15 | 217 | 255 | 87 | 207 | 10.59% | 89 | 16.18 | 11 | 19 | 30 | 356 | 0 | 0 | 0 | 344 | 5 | 2 | 47.82% | 826 | 0 | 0 | 0 | 0 | 0.52 | 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 | Wild | 10 | 6 | 4 | 0 | 0.928 | 2.09 | 604 | 0 | 1 | 21 | 292 | 0 | 0 | 1 | 0.750 | 4 | 10 | 0 | 1 | 1 | 0 |
Team Total or Average | 10 | 6 | 4 | 0 | 0.928 | 2.09 | 604 | 0 | 1 | 21 | 292 | 0 | 0 | 1 | 0.750 | 4 | 10 | 0 | 1 | 1 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Avalanches | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 1 | 1 | 1 | 0 | 50 | 18 | 19 | 13 | 0 | 59 | 17 | 26 | 37 | 8 | 1 | 12.50% | 12 | 2 | 83.33% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 48 | 32 | 45 | 14 | 26 | 12 | 28.6% | 6.0% | 88.1% | 94.1 | Unlucky |
2 | Blackhawks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 2 | 0 | 44 | 16 | 11 | 17 | 0 | 66 | 24 | 25 | 45 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 43 | 28 | 49 | 15 | 27 | 13 | 50.0% | 13.6% | 92.4% | 106.1 | LUCKY |
3 | Blues | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 41 | 16 | 11 | 14 | 0 | 29 | 5 | 12 | 24 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 25 | 17 | 22 | 5 | 12 | 6 | 75.0% | 9.8% | 93.1% | 102.9 | LUCKY |
4 | Stars | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 1 | 3 | 2 | 0 | 45 | 10 | 20 | 15 | 0 | 51 | 22 | 54 | 54 | 16 | 3 | 18.75% | 11 | 0 | 100.00% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 45 | 29 | 50 | 15 | 24 | 12 | 60.0% | 13.3% | 96.1% | 109.4 | LUCKY |
5 | Coyotes | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 5 | 0 | 1 | 2 | 58 | 20 | 11 | 25 | 6 | 54 | 13 | 20 | 31 | 7 | 4 | 57.14% | 9 | 1 | 88.89% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 48 | 32 | 49 | 15 | 26 | 12 | 60.0% | 12.1% | 94.4% | 106.5 | LUCKY |
6 | Jets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 17 | 6 | 7 | 4 | 0 | 34 | 8 | 10 | 26 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 21 | 14 | 26 | 6 | 12 | 5 | 66.7% | 11.8% | 91.2% | 102.9 | LUCKY |
_Vs Division | 10 | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 28 | 22 | 6 | 12 | 0.600 | 28 | 49 | 77 | 1 | 1 | 14 | 5 | 8 | 2 | 255 | 86 | 79 | 88 | 6 | 293 | 89 | 147 | 217 | 43 | 11 | 25.58% | 52 | 7 | 86.54% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 232 | 155 | 243 | 73 | 128 | 63 | 53.1% | 11.0% | 92.5% | 103.5 | LUCKY | |
_Vs Conference | 10 | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 28 | 22 | 6 | 12 | 0.600 | 28 | 49 | 77 | 1 | 1 | 14 | 5 | 8 | 2 | 255 | 86 | 79 | 88 | 6 | 293 | 89 | 147 | 217 | 43 | 11 | 25.58% | 52 | 7 | 86.54% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 232 | 155 | 243 | 73 | 128 | 63 | 53.1% | 11.0% | 92.5% | 103.5 | LUCKY | |
_Since Last GM Reset | 10 | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 28 | 22 | 6 | 12 | 0.600 | 28 | 49 | 77 | 1 | 1 | 14 | 5 | 8 | 2 | 255 | 86 | 79 | 88 | 6 | 293 | 89 | 147 | 217 | 43 | 11 | 25.58% | 52 | 7 | 86.54% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 232 | 155 | 243 | 73 | 128 | 63 | 53.1% | 11.0% | 92.5% | 103.5 | LUCKY | |
Total | 10 | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 28 | 22 | 6 | 12 | 0.600 | 28 | 49 | 77 | 1 | 1 | 14 | 5 | 8 | 2 | 255 | 86 | 79 | 88 | 6 | 293 | 89 | 147 | 217 | 43 | 11 | 25.58% | 52 | 7 | 86.54% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 232 | 155 | 243 | 73 | 128 | 63 | 53.1% | 11.0% | 92.5% | 103.5 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 350 |
Neutral Zone Start | 149 |
Defensive Zone Start | 320 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 395 |
Faceoffs Lost | 424 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.6 | 9.57 |
2nd Period | 16.5 | 20.31 |
3rd Period | 25.3 | 30.68 |
Overtime | 25.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 43 |
---|---|
PP Goal | 11 |
PK Attempt | 52 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 25.5 |
Shots Against | 29.3 |
Goals For | 2.8 |
Goals Against | 2.2 |
Hits | 21.7 |
Shots Blocked | 8.9 |
Pim | 14.7 |
Projected Total Cap Hit | 80,000,000$ |
Projected Cap Space | 2,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
Contracts | 55/50 |
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 | ||||
Caleb Jones | D | 26 | 1,350,000$ | 1,350,000$ | 775,000$ | UFA | |||||
Colin White | C | 26 | 1,200,000$ | 1,200,000$ | RFA | ||||||
Erik Brannstrom | D | 24 | 900,000$ | 900,000$ | 2,000,000$ | RFA | |||||
Evgenii Dadonov | RW | 34 | 5,000,000$ | 5,000,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
Jake Evans | C/RW | 27 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | ||||
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$ | RFA | ||||||
Jesper Fast | RW | 31 | 2,000,000$ | 2,000,000$ | 2,400,000$ | 2,400,000$ | UFA | ||||
Jonathan Bernier | G | 35 | 4,125,000$ | 4,125,000$ | 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$ |
Luke Kunin | C | 25 | 2,750,000$ | 2,750,000$ | 2,750,000$ | RFA | |||||
Luke Schenn | D | 33 | 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$ | RFA | |||||
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 | 20 | 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 | |||||
Axel Andersson | D | 23 | 871,667$ | 871,667$ | RFA | ||||||
Brandon Coe | C | 21 | 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$ | RFA | |||||
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$ | RFA | |||||
Jacob Bernard-Docker | D | 23 | 1,208,333$ | 1,208,333$ | 805,000$ | 805,000$ | RFA | ||||
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$ | RFA | |||||
Juraj Slafkovsky | LW | 19 | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | RFA | ||||
Keith Petruzzelli | G | 24 | 817,500$ | 817,500$ | 817,500$ | RFA | |||||
Louie Belpedio | D | 27 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Madison Bowey | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Matthew Robertson | D | 22 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
Oskar Back | C | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
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$ | RFA | |||||
Spencer Knight | G | 22 | 2,491,667$ | 2,491,667$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | RFA | |||
Spencer Stastney | D | 23 | 925,000$ | 925,000$ | RFA | ||||||
Vasili Ponomaryov | C | 21 | 830,000$ | 830,000$ | 830,000$ | 830,000$ | RFA | ||||
Viktor Lodin | C/LW | 24 | 830,000$ | 830,000$ | RFA | ||||||
Vladislav Firstov | C/LW | 22 | 750,000$ | 925,000$ | 925,000$ | RFA |
Forward Lines | |||||||
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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 | Avalanches | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 1 | 1 | 1 | 0 | 50 | 18 | 19 | 13 | 0 | 59 | 17 | 26 | 37 | 8 | 1 | 12.50% | 12 | 2 | 83.33% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 48 | 32 | 45 | 14 | 26 | 12 | 28.6% | 6.0% | 88.1% | 94.1 | Unlucky |
2 | Blackhawks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 2 | 0 | 44 | 16 | 11 | 17 | 0 | 66 | 24 | 25 | 45 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 43 | 28 | 49 | 15 | 27 | 13 | 50.0% | 13.6% | 92.4% | 106.1 | LUCKY |
3 | Blues | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 41 | 16 | 11 | 14 | 0 | 29 | 5 | 12 | 24 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 25 | 17 | 22 | 5 | 12 | 6 | 75.0% | 9.8% | 93.1% | 102.9 | LUCKY |
4 | Stars | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 1 | 3 | 2 | 0 | 45 | 10 | 20 | 15 | 0 | 51 | 22 | 54 | 54 | 16 | 3 | 18.75% | 11 | 0 | 100.00% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 45 | 29 | 50 | 15 | 24 | 12 | 60.0% | 13.3% | 96.1% | 109.4 | LUCKY |
5 | Coyotes | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 5 | 0 | 1 | 2 | 58 | 20 | 11 | 25 | 6 | 54 | 13 | 20 | 31 | 7 | 4 | 57.14% | 9 | 1 | 88.89% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 48 | 32 | 49 | 15 | 26 | 12 | 60.0% | 12.1% | 94.4% | 106.5 | LUCKY |
6 | Jets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 17 | 6 | 7 | 4 | 0 | 34 | 8 | 10 | 26 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 21 | 14 | 26 | 6 | 12 | 5 | 66.7% | 11.8% | 91.2% | 102.9 | LUCKY |
_Vs Division | 10 | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 28 | 22 | 6 | 12 | 0.600 | 28 | 49 | 77 | 1 | 1 | 14 | 5 | 8 | 2 | 255 | 86 | 79 | 88 | 6 | 293 | 89 | 147 | 217 | 43 | 11 | 25.58% | 52 | 7 | 86.54% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 232 | 155 | 243 | 73 | 128 | 63 | 53.1% | 11.0% | 92.5% | 103.5 | LUCKY | |
_Vs Conference | 10 | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 28 | 22 | 6 | 12 | 0.600 | 28 | 49 | 77 | 1 | 1 | 14 | 5 | 8 | 2 | 255 | 86 | 79 | 88 | 6 | 293 | 89 | 147 | 217 | 43 | 11 | 25.58% | 52 | 7 | 86.54% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 232 | 155 | 243 | 73 | 128 | 63 | 53.1% | 11.0% | 92.5% | 103.5 | LUCKY | |
_Since Last GM Reset | 10 | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 28 | 22 | 6 | 12 | 0.600 | 28 | 49 | 77 | 1 | 1 | 14 | 5 | 8 | 2 | 255 | 86 | 79 | 88 | 6 | 293 | 89 | 147 | 217 | 43 | 11 | 25.58% | 52 | 7 | 86.54% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 232 | 155 | 243 | 73 | 128 | 63 | 53.1% | 11.0% | 92.5% | 103.5 | LUCKY | |
Total | 10 | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 28 | 22 | 6 | 12 | 0.600 | 28 | 49 | 77 | 1 | 1 | 14 | 5 | 8 | 2 | 255 | 86 | 79 | 88 | 6 | 293 | 89 | 147 | 217 | 43 | 11 | 25.58% | 52 | 7 | 86.54% | 0 | 170 | 350 | 48.57% | 148 | 320 | 46.25% | 77 | 149 | 51.68% | 232 | 155 | 243 | 73 | 128 | 63 | 53.1% | 11.0% | 92.5% | 103.5 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 350 |
Neutral Zone Start | 149 |
Defensive Zone Start | 320 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 395 |
Faceoffs Lost | 424 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.6 | 9.57 |
2nd Period | 16.5 | 20.31 |
3rd Period | 25.3 | 30.68 |
Overtime | 25.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 43 |
---|---|
PP Goal | 11 |
PK Attempt | 52 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 25.5 |
Shots Against | 29.3 |
Goals For | 2.8 |
Goals Against | 2.2 |
Hits | 21.7 |
Shots Blocked | 8.9 |
Pim | 14.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Sep 11 | COL | @ | MIN | COL4,MIN2 | RECAP | |||||||||
Tue, Sep 12 | MIN | @ | CHI | MIN5,CHI1 | RECAP | |||||||||
Thu, Sep 14 | DAL | @ | MIN | DAL2,MIN4 | RECAP | |||||||||
Fri, Sep 15 | MIN | @ | COL | MIN1,COL3 | RECAP | |||||||||
Sun, Sep 17 | CHI | @ | MIN | CHI4,MIN1 | RECAP | |||||||||
Mon, Sep 18 | MIN | @ | DAL | MIN2,DAL0 | RECAP | |||||||||
Wed, Sep 20 | MIN | @ | WIN | MIN2,WIN3 | RECAP | |||||||||
Thu, Sep 21 | ARI | @ | MIN | ARI2,MIN5 | RECAP | |||||||||
Sat, Sep 23 | STL | @ | MIN | STL2,MIN4 | RECAP | |||||||||
Tue, Sep 26 | MIN | @ | ARI | MIN2,ARI1 (SO) | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,000,000$ | 0$ | 80,000,000$ | 2,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Xcel Energy Center | ||
City | Minnesota | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 90$ | 50$ | 25$ | 17$ | 190$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,000,000$ | 80,000,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 80,000,000$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 80,000,000$ | 44,386,996$ | 44,386,996$ |
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 | Wild | 2019 | 60 | Link | |
Artem Manukyan | Wild | 2019 | 197 | Link | |
Cole Brady | Wild | 2020 | 161 | Link | |
Cole O'Hara | Wild | 2023 | 150 | Link | |
Connor Kurth | Wild | 2023 | 208 | Link | |
Connor Lockhart | Wild | 2022 | 165 | Link | |
Dominic Basse | Wild | 2020 | 195 | Link | |
Filip Johansson | Wild | 2019 | 45 | Link | |
Filip Nordberg | Wild | 2023 | 101 | Link | |
Henrik Tikkanen | Wild | 2021 | 184 | Link | |
Isaac Howard | Wild | 2023 | 43 | Link | |
Jack Peart | Wild | 2022 | 61 | Link | |
Kirill Dolzhenkov | Wild | 2023 | 147 | Link | |
Maksymilian Szuber | Wild | 2023 | 190 | Link | |
Marat Khusnutdinov | Wild | 2021 | 44 | Link | |
Nikita Chibrikov | Wild | 2022 | 113 | Link | |
Oscar Plandowski | Wild | 2022 | 183 | Link | |
Rasmus Korhonen | Wild | 2022 | 137 | Link | |
Ryan Chesley | Wild | 2023 | 69 | Link | |
Ryan Healey | Wild | 2023 | 164 | Link | |
Shai Buium | Wild | 2022 | 55 | Link | |
Theodore Niederbach | Wild | 2021 | 78 | Link | |
Tyson Galloway | Wild | 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 | Wild | 2019 | 60 | Link | |
Artem Manukyan | Wild | 2019 | 197 | Link | |
Cole Brady | Wild | 2020 | 161 | Link | |
Cole O'Hara | Wild | 2023 | 150 | Link | |
Connor Kurth | Wild | 2023 | 208 | Link | |
Connor Lockhart | Wild | 2022 | 165 | Link | |
Dominic Basse | Wild | 2020 | 195 | Link | |
Filip Johansson | Wild | 2019 | 45 | Link | |
Filip Nordberg | Wild | 2023 | 101 | Link | |
Henrik Tikkanen | Wild | 2021 | 184 | Link | |
Isaac Howard | Wild | 2023 | 43 | Link | |
Jack Peart | Wild | 2022 | 61 | Link | |
Kirill Dolzhenkov | Wild | 2023 | 147 | Link | |
Maksymilian Szuber | Wild | 2023 | 190 | Link | |
Marat Khusnutdinov | Wild | 2021 | 44 | Link | |
Nikita Chibrikov | Wild | 2022 | 113 | Link | |
Oscar Plandowski | Wild | 2022 | 183 | Link | |
Rasmus Korhonen | Wild | 2022 | 137 | Link | |
Ryan Chesley | Wild | 2023 | 69 | Link | |
Ryan Healey | Wild | 2023 | 164 | Link | |
Shai Buium | Wild | 2022 | 55 | Link | |
Theodore Niederbach | Wild | 2021 | 78 | Link | |
Tyson Galloway | Wild | 2022 | 133 | Link |
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