































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | LW | 100.00 | 70 | 40 | 80 | 96 | 84 | 87 | 88 | 85 | 52 | 80 | 90 | 68 | 63 | 62 | 62 | 0 | 82 | 28 | 9,000,000$/4yrs | |||||
![]() | C | 100.00 | 79 | 65 | 74 | 83 | 73 | 86 | 95 | 77 | 90 | 79 | 73 | 70 | 67 | 76 | 67 | 0 | 77 | 31 | 5,625,000$/6yrs | |||||
![]() | LW/RW | 100.00 | 69 | 40 | 91 | 85 | 68 | 81 | 92 | 79 | 54 | 78 | 76 | 67 | 58 | 68 | 63 | 0 | 76 | 26 | 7,875,000$/8yrs | |||||
![]() | C/RW | 100.00 | 72 | 58 | 80 | 79 | 83 | 82 | 86 | 76 | 64 | 76 | 78 | 69 | 73 | 67 | 59 | 0 | 76 | 29 | 4,750,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 70 | 40 | 90 | 82 | 70 | 79 | 85 | 74 | 58 | 77 | 73 | 67 | 78 | 78 | 66 | 0 | 74 | 35 | 3,185,000$/2yrs | |||||
![]() | C | 100.00 | 80 | 73 | 86 | 72 | 76 | 74 | 95 | 65 | 78 | 68 | 67 | 80 | 54 | 75 | 69 | 0 | 72 | 32 | 3,250,000$/3yrs | |||||
![]() | C/LW/RW | 100.00 | 68 | 40 | 85 | 78 | 79 | 73 | 76 | 67 | 56 | 68 | 72 | 66 | 67 | 71 | 59 | 0 | 71 | 29 | 3,000,000$/5yrs | |||||
![]() | LW/RW | 100.00 | 69 | 40 | 83 | 73 | 79 | 69 | 86 | 67 | 57 | 70 | 67 | 70 | 67 | 85 | 61 | 0 | 70 | 36 | 1,000,000$/1yrs | |||||
![]() | C/RW | 100.00 | 72 | 40 | 87 | 67 | 85 | 66 | 89 | 60 | 91 | 62 | 66 | 77 | 58 | 95 | 75 | 0 | 69 | 40 | 3,125,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 69 | 40 | 89 | 79 | 71 | 70 | 86 | 63 | 76 | 66 | 67 | 74 | 54 | 60 | 58 | 0 | 69 | 25 | 2,100,000$/2yrs | |||||
![]() | C/LW | 100.00 | 69 | 40 | 86 | 71 | 70 | 62 | 89 | 60 | 57 | 64 | 63 | 80 | 54 | 94 | 62 | 0 | 68 | 37 | 825,000$/1yrs | |||||
![]() | C/RW | 100.00 | 74 | 40 | 90 | 66 | 74 | 61 | 89 | 59 | 80 | 62 | 64 | 79 | 81 | 71 | 59 | 0 | 67 | 38 | 900,000$/2yrs | |||||
![]() | D | 100.00 | 67 | 57 | 77 | 81 | 79 | 96 | 90 | 77 | 40 | 81 | 71 | 78 | 58 | 82 | 85 | 0 | 79 | 34 | 9,059,000$/5yrs | |||||
![]() | D | 100.00 | 83 | 64 | 77 | 87 | 83 | 90 | 95 | 67 | 40 | 71 | 67 | 84 | 54 | 68 | 63 | 0 | 77 | 31 | 6,250,000$/8yrs | |||||
![]() | D | 100.00 | 77 | 69 | 77 | 71 | 79 | 87 | 91 | 61 | 40 | 68 | 60 | 84 | 54 | 77 | 71 | 0 | 73 | 31 | 8,000,000$/3yrs | |||||
![]() | D | 100.00 | 70 | 40 | 90 | 77 | 81 | 84 | 92 | 59 | 40 | 66 | 58 | 88 | 54 | 71 | 59 | 0 | 72 | 34 | 4,050,000$/3yrs | |||||
![]() | D | 100.00 | 71 | 66 | 71 | 68 | 85 | 75 | 79 | 56 | 40 | 63 | 57 | 87 | 54 | 58 | 58 | 0 | 69 | 24 | 1,050,000$/2yrs | |||||
![]() | D | 100.00 | 61 | 63 | 80 | 71 | 76 | 81 | 73 | 57 | 40 | 60 | 57 | 84 | 54 | 56 | 56 | 0 | 68 | 23 | 916,667$/7yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW | 100.00 | 72 | 65 | 73 | 76 | 74 | 67 | 84 | 63 | 55 | 66 | 65 | 67 | 54 | 68 | 65 | 0 | 68 | 29 | 2,500,000$/6yrs | |||||
![]() | C/LW/RW | 100.00 | 71 | 58 | 81 | 68 | 80 | 66 | 85 | 59 | 69 | 64 | 62 | 77 | 54 | 71 | 59 | 0 | 67 | 32 | 1,000,000$/1yrs | |||||
![]() | D | 100.00 | 68 | 48 | 79 | 68 | 81 | 79 | 75 | 55 | 41 | 63 | 57 | 84 | 55 | 60 | 59 | 0 | 68 | 32 | 775,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 71 | 52 | 82 | 76 | 78 | 77 | 87 | 66 | 58 | 69 | 67 | 76 | 60 | 72 | 64 | 0 | 72 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 48 | 100.00 | 83 | 84 | 85 | 87 | 76 | 75 | 87 | 78 | 90 | 82 | 87 | 59 | 56 | 0 | 81 | 28 | 775,000$/8yrs | |
![]() | 79 | 100.00 | 79 | 77 | 79 | 80 | 83 | 81 | 84 | 77 | 89 | 77 | 79 | 66 | 59 | 0 | 80 | 26 | 3,979,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 81 | 81 | 82 | 84 | 80 | 78 | 86 | 78 | 90 | 80 | 83 | 63 | 58 | 0 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Kris Knoblauch | 80 | 80 | 84 | 78 | 70 | 67 | 1 | CAN | 45 | 2 | 1,000,000$ |
General Manager | Etienne Menard |
---|
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 | Kirill Kaprizov | ![]() | 97 | LW | 11 | 9 | 4 | 13 | 10 | 4 | 0 | 11 | 64 | 15 | 48 | 14.06% | 0 | 23.31 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 27.78% | 0 | 0 | 1.18 | 0 | 0 | 1.66 | ||
2 | Jesper Bratt | ![]() | 63 | LW/RW | 11 | 5 | 8 | 13 | 9 | 4 | 0 | 8 | 44 | 8 | 29 | 11.36% | 5 | 22.97 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 23.08% | 0 | 0 | 1.18 | 0 | 0 | 1.44 | ||
3 | Alex Tuch | ![]() | 89 | C/RW | 11 | 2 | 9 | 11 | 1 | 14 | 0 | 22 | 41 | 8 | 33 | 4.88% | 1 | 17.59 | 0 | 4 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 23.08% | 0 | 0 | 1.00 | 0 | 0 | 0.86 | ||
4 | Mackenzie Weegar | ![]() | 52 | D | 11 | 1 | 10 | 11 | 5 | 10 | 0 | 27 | 27 | 6 | 22 | 3.70% | 20 | 24.07 | 0 | 4 | 4 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 1.05 | ||
5 | Vincent Trocheck | ![]() | 16 | C | 11 | 3 | 7 | 10 | 10 | 4 | 0 | 28 | 46 | 9 | 34 | 6.52% | 1 | 23.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 47.52% | 0 | 0 | 0.91 | 0 | 0 | 1.28 | ||
6 | Gustav Nyquist | ![]() | 14 | LW/RW | 11 | 3 | 5 | 8 | 1 | 2 | 0 | 14 | 26 | 11 | 25 | 11.54% | 0 | 17.40 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 35.71% | 0 | 0 | 0.73 | 0 | 0 | 0.76 | ||
7 | Roman Josi | ![]() | 59 | D | 11 | 4 | 4 | 8 | 8 | 6 | 0 | 16 | 26 | 5 | 17 | 15.38% | 13 | 22.85 | 3 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 2 | 0.00% | 0 | 0 | 0.73 | 0 | 0 | 0.96 | ||
8 | Jeff Carter | ![]() | 77 | C/RW | 11 | 4 | 2 | 6 | 1 | 4 | 0 | 12 | 14 | 3 | 9 | 28.57% | 0 | 20.76 | 1 | 0 | 1 | 0 | 0 | 0 | 38 | 0 | 0 | 57.10% | 0 | 0 | 0.55 | 0 | 0 | 0.49 | ||
9 | Jacob Trouba | ![]() | 8 | D | 11 | 1 | 5 | 6 | 5 | 39 | 5 | 19 | 13 | 4 | 13 | 7.69% | 13 | 23.17 | 1 | 1 | 2 | 0 | 0 | 0 | 29 | 0 | 1 | 0.00% | 0 | 0 | 0.55 | 0 | 0 | 0.12 | ||
10 | Nick Jensen | ![]() | 3 | D | 11 | 1 | 4 | 5 | 8 | 12 | 0 | 9 | 21 | 5 | 17 | 4.76% | 32 | 25.20 | 0 | 1 | 1 | 0 | 0 | 0 | 39 | 1 | 0 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | 0.70 | ||
11 | Anthony Duclair | ![]() | 10 | C/LW/RW | 11 | 2 | 1 | 3 | -1 | 0 | 0 | 14 | 22 | 7 | 13 | 9.09% | 1 | 13.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 22.22% | 0 | 0 | 0.27 | 0 | 0 | 0.37 | ||
12 | Alex Vlasic | ![]() | 43 | D | 11 | 0 | 2 | 2 | -3 | 0 | 0 | 11 | 5 | 2 | 4 | 0.00% | 14 | 19.33 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.15 | ||
13 | Kevin Bahl | ![]() | 7 | D | 11 | 0 | 2 | 2 | -3 | 10 | 0 | 25 | 4 | 3 | 2 | 0.00% | 12 | 18.87 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.00 | ||
14 | Ryan McLeod | ![]() | 71 | C/LW/RW | 11 | 1 | 1 | 2 | -2 | 2 | 0 | 2 | 17 | 7 | 13 | 5.88% | 4 | 14.34 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 45.16% | 0 | 0 | 0.18 | 0 | 0 | 0.14 | ||
15 | Andrew Cogliano | ![]() | 11 | C/LW | 11 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 12 | 8 | 2 | 8.33% | 1 | 8.50 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 55.56% | 0 | 0 | 0.09 | 0 | 0 | 0.20 | ||
16 | Derek Ryan | ![]() | 9 | C/RW | 11 | 1 | 0 | 1 | 1 | 2 | 0 | 5 | 4 | 2 | 4 | 25.00% | 3 | 8.06 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 80.00% | 0 | 0 | 0.09 | 0 | 0 | 0.13 | ||
17 | Adam Lowry | ![]() | 17 | C | 11 | 0 | 1 | 1 | 1 | 4 | 0 | 6 | 5 | 5 | 12 | 0.00% | 4 | 8.20 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 52.38% | 0 | 0 | 0.09 | 0 | 0 | 0.11 | ||
18 | James Van Riemsdyk | ![]() | 25 | LW/RW | 11 | 0 | 1 | 1 | -1 | 2 | 0 | 18 | 21 | 6 | 14 | 0.00% | 1 | 13.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.77% | 0 | 0 | 0.09 | 0 | 0 | 0.21 | ||
Team Total or Average | 198 | 38 | 66 | 104 | 51 | 119 | 5 | 248 | 412 | 114 | 311 | 9.22% | 125 | 18.06 | 7 | 13 | 20 | 328 | 0 | 0 | 0 | 326 | 7 | 5 | 49.41% | 1101 | 0 | 0 | 0 | 0 | 0.58 | 0 | 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 |
# | 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 | Logan Thompson | ![]() | 11 | 7 | 4 | 0 | 0.914 | 2.86 | 693 | 2 | 0 | 33 | 385 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 3 | 0 | 1 |
2 | Carter Hart | ![]() | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 39 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 12 | 7 | 4 | 0 | 0.919 | 2.70 | 733 | 2 | 0 | 33 | 406 | 0 | 0 | 0 | 0.000 | 0 | 11 | 11 | 3 | 0 | 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 | ![]() | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 21 | -3 | 6 | 0.429 | 18 | 29 | 47 | 0 | 0 | 6 | 7 | 4 | 1 | 219 | 57 | 75 | 75 | 12 | 240 | 73 | 62 | 152 | 25 | 3 | 12.00% | 28 | 7 | 75.00% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 166 | 114 | 180 | 53 | 93 | 44 | 51.7% | 8.2% | 91.3% | 99.5 | DULL |
2 | ![]() | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 12 | 8 | 8 | 1.000 | 20 | 37 | 57 | 0 | 0 | 6 | 8 | 4 | 2 | 193 | 57 | 60 | 41 | 35 | 166 | 52 | 59 | 96 | 16 | 4 | 25.00% | 22 | 5 | 77.27% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 121 | 84 | 110 | 35 | 63 | 31 | 69.6% | 10.4% | 92.8% | 103.1 | LUCKY |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 21 | -3 | 6 | 0.429 | 18 | 29 | 47 | 0 | 0 | 6 | 7 | 4 | 1 | 219 | 57 | 75 | 75 | 12 | 240 | 73 | 62 | 152 | 25 | 3 | 12.00% | 28 | 7 | 75.00% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 166 | 114 | 180 | 53 | 93 | 44 | 51.7% | 8.2% | 91.3% | 99.5 | DULL | |
_Vs Conference | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 38 | 33 | 5 | 14 | 0.636 | 38 | 66 | 104 | 0 | 0 | 12 | 15 | 8 | 3 | 412 | 114 | 135 | 116 | 47 | 406 | 125 | 121 | 248 | 41 | 7 | 17.07% | 50 | 12 | 76.00% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 287 | 199 | 291 | 88 | 156 | 76 | 59.6% | 9.2% | 91.9% | 101.1 | LUCKY | |
_Since Last GM Reset | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 38 | 33 | 5 | 14 | 0.636 | 38 | 66 | 104 | 0 | 0 | 12 | 15 | 8 | 3 | 412 | 114 | 135 | 116 | 47 | 406 | 125 | 121 | 248 | 41 | 7 | 17.07% | 50 | 12 | 76.00% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 287 | 199 | 291 | 88 | 156 | 76 | 59.6% | 9.2% | 91.9% | 101.1 | LUCKY | |
Total | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 38 | 33 | 5 | 14 | 0.636 | 38 | 66 | 104 | 0 | 0 | 12 | 15 | 8 | 3 | 412 | 114 | 135 | 116 | 47 | 406 | 125 | 121 | 248 | 41 | 7 | 17.07% | 50 | 12 | 76.00% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 287 | 199 | 291 | 88 | 156 | 76 | 59.6% | 9.2% | 91.9% | 101.1 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 26 |
Neutral Zone | 14 |
Defensive Zone | 26 |
Puck Time | |
---|---|
Offensive Zone Start | 456 |
Neutral Zone Start | 198 |
Defensive Zone Start | 447 |
Puck Time | |
---|---|
With Puck | 33 |
Without Puck | 33 |
Faceoffs | |
---|---|
Faceoffs Won | 544 |
Faceoffs Lost | 557 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 22.6 | 20.31 |
3rd Period | 33.2 | 30.68 |
Overtime | 37.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 31 |
---|---|
PP Goal | 7 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 3 |
Lost | 1 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 41 |
---|---|
PP Goal | 7 |
PK Attempt | 50 |
PK Goal Against | 12 |
Home | |
---|---|
Shots For | 37.5 |
Shots Against | 36.9 |
Goals For | 3.5 |
Goals Against | 3.0 |
Hits | 22.5 |
Shots Blocked | 11.4 |
Pim | 11.0 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 89,700,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
Contracts | 53/50 |
LTIR Players | 0 |
Wild Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry ![]() | C | 32 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
Alex Tuch ![]() | C/RW | 29 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Alex Vlasic ![]() | D | 23 | 916,667$ | 916,667$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA |
Andrew Cogliano ![]() | C/LW | 37 | 825,000$ | 825,000$ | UFA | ||||||
Anthony Duclair ![]() | C/LW/RW | 29 | 3,000,000$ | 3,000,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||
Carter Hart ![]() | G | 26 | 3,979,000$ | 3,979,000$ | RFA | ||||||
Derek Ryan ![]() | C/RW | 38 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Gustav Nyquist ![]() | LW/RW | 35 | 3,185,000$ | 3,185,000$ | 3,185,000$ | UFA | |||||
Jacob Trouba ![]() | D | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
James Van Riemsdyk ![]() | LW/RW | 36 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Jaycob Megna ![]() | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Jeff Carter ![]() | C/RW | 40 | 3,125,000$ | 3,125,000$ | UFA | ||||||
Jesper Bratt ![]() | LW/RW | 26 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ |
Kevin Bahl ![]() | D | 24 | 1,050,000$ | 1,050,000$ | 1,050,000$ | RFA | |||||
Kirill Kaprizov ![]() | LW | 28 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |||
Logan Thompson ![]() | G | 28 | 775,000$ | 775,000$ | 775,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ |
Mackenzie Weegar ![]() | D | 31 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ |
Mattias Janmark ![]() | C/LW/RW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Miles Wood ![]() | LW | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |
Nick Jensen ![]() | D | 34 | 4,050,000$ | 4,050,000$ | 4,050,000$ | 4,050,000$ | UFA | ||||
Roman Josi ![]() | D | 34 | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | UFA | ||
Ryan McLeod ![]() | C/LW/RW | 25 | 2,100,000$ | 2,100,000$ | 2,100,000$ | RFA | |||||
Vincent Trocheck ![]() | C | 31 | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Stalock ![]() ![]() | G | 37 | 800,000$ | 800,000$ | UFA | ||||||
Alexander Petrovic ![]() | D | 33 | 775,000$ | 775,000$ | UFA | ||||||
Anton Blidh ![]() | LW | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Brandon Halverson ![]() | G | 29 | 0$ | 775,000$ | ![]() | ||||||
Chase Priskie ![]() ![]() | D | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Chase Stillman ![]() | RW | 22 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Cole Sillinger ![]() | C | 21 | 925,000$ | 925,000$ | 2,250,000$ | 2,250,000$ | RFA | ||||
Colin Miller ![]() | D | 32 | 1,850,000$ | 1,850,000$ | UFA | ||||||
Dakota Mermis ![]() | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
David Gustafsson ![]() | C | 25 | 775,000$ | 775,000$ | 835,000$ | 835,000$ | ![]() | ||||
Elias PetterssonD ![]() | D | 21 | 838,333$ | 838,333$ | 838,333$ | 838,333$ | 838,333$ | RFA | |||
Ethen Frank ![]() ![]() | C | 27 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | ![]() | ||||
Hardy Haman Aktell ![]() | D | 26 | 870,000$ | 870,000$ | 775,000$ | ![]() | |||||
Hunter Shepard ![]() | G | 29 | 750,000$ | 775,000$ | 775,000$ | UFA | |||||
Isaac Poulter ![]() | G | 23 | 812,000$ | 812,000$ | 812,000$ | RFA | |||||
Jack Peart ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | |||
Jakub Skarek ![]() | G | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Jaret Anderson-Dolan ![]() | C/LW/RW | 25 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | ![]() | ||||
Kale Clague ![]() | D | 26 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Kyle Criscuolo ![]() ![]() | C | 33 | 775,000$ | 775,000$ | UFA | ||||||
Mikhail Maltsev ![]() | LW | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Nathan Walker ![]() | LW | 31 | 775,000$ | 775,000$ | UFA | ||||||
Nils Aman ![]() | C | 25 | 883,750$ | 883,750$ | 825,000$ | 825,000$ | ![]() | ||||
Philippe Daoust ![]() | C/LW | 23 | 821,667$ | 821,667$ | 821,667$ | RFA | |||||
Roland McKeown ![]() ![]() | D | 29 | 775,000$ | 775,000$ | ![]() | ||||||
Sam Colangelo ![]() | RW | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Samuel Helenius ![]() | C | 22 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Stephen Halliday ![]() | C | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Tomas Suchanek ![]() | G | 22 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | |||
Uvis Balinskis ![]() | D | 28 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
Vasily Podkolzin ![]() | RW | 23 | 925,000$ | 925,000$ | 1,000,000$ | 1,000,000$ | RFA | ||||
Vincent Iorio ![]() | D | 22 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Vinnie Hinostroza ![]() ![]() | LW/RW | 31 | 775,000$ | 775,000$ | UFA | ||||||
Vladislav Kolyachonok ![]() | D | 23 | 789,167$ | 789,167$ | RFA | ||||||
Will Butcher ![]() | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Zach Uens ![]() | D | 23 | 859,167$ | 859,167$ | 859,167$ | 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 | ![]() | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 21 | -3 | 6 | 0.429 | 18 | 29 | 47 | 0 | 0 | 6 | 7 | 4 | 1 | 219 | 57 | 75 | 75 | 12 | 240 | 73 | 62 | 152 | 25 | 3 | 12.00% | 28 | 7 | 75.00% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 166 | 114 | 180 | 53 | 93 | 44 | 51.7% | 8.2% | 91.3% | 99.5 | DULL |
2 | ![]() | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 12 | 8 | 8 | 1.000 | 20 | 37 | 57 | 0 | 0 | 6 | 8 | 4 | 2 | 193 | 57 | 60 | 41 | 35 | 166 | 52 | 59 | 96 | 16 | 4 | 25.00% | 22 | 5 | 77.27% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 121 | 84 | 110 | 35 | 63 | 31 | 69.6% | 10.4% | 92.8% | 103.1 | LUCKY |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 21 | -3 | 6 | 0.429 | 18 | 29 | 47 | 0 | 0 | 6 | 7 | 4 | 1 | 219 | 57 | 75 | 75 | 12 | 240 | 73 | 62 | 152 | 25 | 3 | 12.00% | 28 | 7 | 75.00% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 166 | 114 | 180 | 53 | 93 | 44 | 51.7% | 8.2% | 91.3% | 99.5 | DULL | |
_Vs Conference | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 38 | 33 | 5 | 14 | 0.636 | 38 | 66 | 104 | 0 | 0 | 12 | 15 | 8 | 3 | 412 | 114 | 135 | 116 | 47 | 406 | 125 | 121 | 248 | 41 | 7 | 17.07% | 50 | 12 | 76.00% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 287 | 199 | 291 | 88 | 156 | 76 | 59.6% | 9.2% | 91.9% | 101.1 | LUCKY | |
_Since Last GM Reset | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 38 | 33 | 5 | 14 | 0.636 | 38 | 66 | 104 | 0 | 0 | 12 | 15 | 8 | 3 | 412 | 114 | 135 | 116 | 47 | 406 | 125 | 121 | 248 | 41 | 7 | 17.07% | 50 | 12 | 76.00% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 287 | 199 | 291 | 88 | 156 | 76 | 59.6% | 9.2% | 91.9% | 101.1 | LUCKY | |
Total | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 38 | 33 | 5 | 14 | 0.636 | 38 | 66 | 104 | 0 | 0 | 12 | 15 | 8 | 3 | 412 | 114 | 135 | 116 | 47 | 406 | 125 | 121 | 248 | 41 | 7 | 17.07% | 50 | 12 | 76.00% | 0 | 224 | 456 | 49.12% | 219 | 447 | 48.99% | 101 | 198 | 51.01% | 287 | 199 | 291 | 88 | 156 | 76 | 59.6% | 9.2% | 91.9% | 101.1 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 26 |
Neutral Zone | 14 |
Defensive Zone | 26 |
Puck Time | |
---|---|
Offensive Zone Start | 456 |
Neutral Zone Start | 198 |
Defensive Zone Start | 447 |
Puck Time | |
---|---|
With Puck | 33 |
Without Puck | 33 |
Faceoffs | |
---|---|
Faceoffs Won | 544 |
Faceoffs Lost | 557 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 22.6 | 20.31 |
3rd Period | 33.2 | 30.68 |
Overtime | 37.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 31 |
---|---|
PP Goal | 7 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 3 |
Lost | 1 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 41 |
---|---|
PP Goal | 7 |
PK Attempt | 50 |
PK Goal Against | 12 |
Home | |
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Shots For | 37.5 |
Shots Against | 36.9 |
Goals For | 3.5 |
Goals Against | 3.0 |
Hits | 22.5 |
Shots Blocked | 11.4 |
Pim | 11.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sun, Apr 6 | ![]() | @ | ![]() | SEA4,MIN5 (OT) | RECAP |
Tue, Apr 8 | ![]() | @ | ![]() | SEA1,MIN5 | RECAP |
Thu, Apr 10 | ![]() | @ | ![]() | MIN5,SEA3 | RECAP |
Sat, Apr 12 | ![]() | @ | ![]() | MIN5,SEA4 (OT) | RECAP |
Sat, Apr 19 | ![]() | @ | ![]() | MIN3,CHI4 | RECAP |
Mon, Apr 21 | ![]() | @ | ![]() | MIN4,CHI2 | RECAP |
Wed, Apr 23 | ![]() | @ | ![]() | CHI2,MIN3 (OT) | RECAP |
Fri, Apr 25 | ![]() | @ | ![]() | CHI4,MIN2 | RECAP |
Sun, Apr 27 | ![]() | @ | ![]() | MIN3,CHI5 | RECAP |
Tue, Apr 29 | ![]() | @ | ![]() | CHI2,MIN3 | RECAP |
Thu, May 1 | ![]() | @ | ![]() | MIN0,CHI2 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,989,667$ | 0$ | 0$ | 89,700,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Xcel Energy Center | |
City | Minnesota | ||
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 | 30000 | 24890 | 9996 | 19937 | 4980 |
Attendance PCT | 100.00% | 99.56% | 99.96% | 99.69% | 99.60% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
36 | 17961 - 99.78% | 1,888,630$ | 9,443,151$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,989,667$ | 82,989,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 3 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 52,909,861$ | 52,909,861$ |
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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 |
---|---|---|---|---|---|---|
2025 | ![]() | |||||
2026 | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Adam Ingram | ![]() | 2022 | 82 | Link | |
Alexander Pelevin | ![]() | 2022 | 205 | Link | |
Alexander Rykov | ![]() | 2023 | 100 | Link | |
Andrei Buyalsky | ![]() | 2021 | 92 | Link | |
Arttu Hyry | ![]() | 2024 | Link | ||
Aydar Suniev | ![]() | 2023 | 80 | Link | |
Cameron Whitehead | ![]() | 2022 | 128 | Link | |
Danny Nelson | ![]() | 2023 | 49 | Link | |
Dylan James | ![]() | 2022 | 40 | Link | |
Filip Nordberg | ![]() | 2022 | 64 | Link | |
Gavin Hayes | ![]() | 2022 | 66 | Link | |
Jack Sparkes | ![]() | 2022 | 180 | Link | |
Kasper Halttunen | ![]() | 2023 | 36 | Link | |
Kenny Connors | ![]() | 2022 | 103 | Link | |
Kirill Dolzhenkov | ![]() | 2022 | 109 | Link | |
Lenni Killinen | ![]() | 2018 | 104 | Link | |
Marek Alscher | ![]() | 2022 | 93 | Link | |
Noah Laba | ![]() | 2022 | 111 | Link | |
Oscar Eklind | ![]() | 2024 | |||
Patrik Hamrla | ![]() | 2021 | 83 | Link | |
Petr Hauser | ![]() | 2022 | 141 | Link | |
Quinton Burns | ![]() | 2023 | 74 | Link | |
Samuel Johannesson | ![]() | 2020 | 176 | Link | |
Talyn Boyko | ![]() | 2021 | 112 | Link | |
Victor Stjernborg | ![]() | 2021 | 108 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
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2025 | ![]() | |||||
2026 | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Adam Ingram | ![]() | 2022 | 82 | Link | |
Alexander Pelevin | ![]() | 2022 | 205 | Link | |
Alexander Rykov | ![]() | 2023 | 100 | Link | |
Andrei Buyalsky | ![]() | 2021 | 92 | Link | |
Arttu Hyry | ![]() | 2024 | Link | ||
Aydar Suniev | ![]() | 2023 | 80 | Link | |
Cameron Whitehead | ![]() | 2022 | 128 | Link | |
Danny Nelson | ![]() | 2023 | 49 | Link | |
Dylan James | ![]() | 2022 | 40 | Link | |
Filip Nordberg | ![]() | 2022 | 64 | Link | |
Gavin Hayes | ![]() | 2022 | 66 | Link | |
Jack Sparkes | ![]() | 2022 | 180 | Link | |
Kasper Halttunen | ![]() | 2023 | 36 | Link | |
Kenny Connors | ![]() | 2022 | 103 | Link | |
Kirill Dolzhenkov | ![]() | 2022 | 109 | Link | |
Lenni Killinen | ![]() | 2018 | 104 | Link | |
Marek Alscher | ![]() | 2022 | 93 | Link | |
Noah Laba | ![]() | 2022 | 111 | Link | |
Oscar Eklind | ![]() | 2024 | |||
Patrik Hamrla | ![]() | 2021 | 83 | Link | |
Petr Hauser | ![]() | 2022 | 141 | Link | |
Quinton Burns | ![]() | 2023 | 74 | Link | |
Samuel Johannesson | ![]() | 2020 | 176 | Link | |
Talyn Boyko | ![]() | 2021 | 112 | Link | |
Victor Stjernborg | ![]() | 2021 | 108 | Link |
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