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Full Scoreboard »» |
![]() | Calgary Flames 1-3-0, 2pts · 15th in Western Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/LW/RW | 100.00 | 72 | 45 | 86 | 81 | 76 | 86 | 94 | 81 | 83 | 76 | 76 | 81 | 79 | 90 | 80 | 1 | 78 | 35 | 6,887,000$/3yrs | |||||
![]() | C/LW | 99.00 | 73 | 42 | 87 | 82 | 82 | 85 | 74 | 84 | 65 | 75 | 80 | 71 | 82 | 56 | 50 | 1 | 75 | 20 | 975,000$/2yrs | |||||
![]() | C/RW | 100.00 | 72 | 41 | 73 | 75 | 85 | 85 | 86 | 77 | 86 | 70 | 73 | 76 | 75 | 76 | 66 | 1 | 74 | 28 | 2,000,000$/1yrs | |||||
![]() | C | 100.00 | 65 | 40 | 74 | 76 | 72 | 78 | 69 | 79 | 65 | 74 | 74 | 64 | 76 | 53 | 50 | 1 | 70 | 19 | 975,000$/3yrs | |||||
![]() | C | 100.00 | 61 | 41 | 77 | 73 | 71 | 85 | 83 | 71 | 61 | 67 | 66 | 63 | 70 | 88 | 78 | 1 | 70 | 34 | 4,887,087$/3yrs | |||||
![]() | C/LW/RW | 99.00 | 81 | 45 | 84 | 73 | 80 | 80 | 82 | 68 | 66 | 64 | 62 | 70 | 68 | 73 | 63 | 1 | 69 | 28 | 2,000,000$/3yrs | |||||
![]() | C | 99.00 | 63 | 41 | 64 | 64 | 75 | 74 | 80 | 66 | 72 | 62 | 64 | 61 | 65 | 88 | 76 | 1 | 66 | 32 | 7,000,000$/2yrs | |||||
![]() | LW/RW | 99.00 | 68 | 44 | 71 | 68 | 69 | 74 | 72 | 66 | 42 | 65 | 61 | 65 | 65 | 78 | 59 | 1 | 65 | 29 | 1,500,000$/2yrs | |||||
![]() | C/LW/RW | 99.00 | 77 | 70 | 58 | 64 | 88 | 71 | 68 | 65 | 47 | 59 | 60 | 63 | 63 | 55 | 50 | 1 | 64 | 23 | 975,000$/1yrs | |||||
![]() | D | 100.00 | 76 | 52 | 68 | 75 | 86 | 89 | 92 | 77 | 40 | 71 | 68 | 87 | 73 | 87 | 78 | 1 | 78 | 34 | 7,887,000$/4yrs | |||||
![]() | D | 100.00 | 75 | 58 | 71 | 74 | 92 | 90 | 83 | 75 | 40 | 73 | 65 | 82 | 71 | 68 | 58 | 1 | 76 | 25 | 2,087,087$/3yrs | |||||
![]() | D | 100.00 | 72 | 45 | 80 | 76 | 77 | 86 | 92 | 72 | 40 | 66 | 64 | 77 | 71 | 90 | 80 | 1 | 75 | 34 | 4,600,000$/3yrs | |||||
![]() | D | 100.00 | 67 | 42 | 89 | 75 | 78 | 84 | 80 | 81 | 40 | 78 | 70 | 75 | 75 | 63 | 53 | 1 | 74 | 29 | 3,087,087$/1yrs | |||||
![]() | D | 100.00 | 60 | 42 | 86 | 76 | 79 | 88 | 89 | 72 | 40 | 69 | 65 | 78 | 71 | 90 | 80 | 1 | 74 | 34 | 5,087,000$/3yrs | |||||
![]() | D | 100.00 | 63 | 40 | 83 | 81 | 76 | 85 | 71 | 75 | 40 | 70 | 69 | 72 | 75 | 55 | 50 | 1 | 71 | 21 | 975,000$/2yrs | |||||
![]() | D | 100.00 | 65 | 55 | 79 | 75 | 84 | 86 | 75 | 71 | 40 | 69 | 65 | 73 | 70 | 59 | 50 | 1 | 71 | 24 | 975,000$/1yrs | |||||
![]() | D | 99.00 | 63 | 41 | 84 | 73 | 84 | 79 | 74 | 68 | 40 | 64 | 62 | 71 | 68 | 62 | 53 | 1 | 69 | 26 | 1,500,000$/1yrs | |||||
![]() | D | 99.00 | 70 | 64 | 62 | 64 | 86 | 76 | 72 | 67 | 40 | 60 | 59 | 70 | 63 | 64 | 56 | 1 | 67 | 27 | 1,500,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW | 100.00 | 63 | 59 | 52 | 63 | 62 | 61 | 60 | 61 | 55 | 57 | 61 | 61 | 62 | 50 | 50 | 1 | 60 | 21 | 866,667$/2yrs | |||||
![]() | RW | 100.00 | 60 | 62 | 51 | 64 | 66 | 66 | 64 | 62 | 42 | 57 | 57 | 56 | 61 | 54 | 50 | 1 | 59 | 26 | 2,887,887$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 52 | 41 | 57 | 58 | 54 | 60 | 59 | 55 | 43 | 55 | 53 | 54 | 55 | 75 | 62 | 1 | 56 | 36 | 5,087,000$/1yrs | |||||
![]() | D | 100.00 | 53 | 42 | 72 | 69 | 56 | 68 | 68 | 65 | 40 | 62 | 59 | 63 | 64 | 85 | 70 | 1 | 64 | 36 | 5,087,000$/1yrs | |||||
![]() | D | 100.00 | 56 | 52 | 60 | 63 | 63 | 71 | 71 | 63 | 40 | 57 | 56 | 64 | 61 | 73 | 66 | 1 | 63 | 35 | 3,250,000$/1yrs | |||||
TEAM AVERAGE | 99.70 | 66 | 48 | 73 | 71 | 76 | 79 | 76 | 70 | 51 | 66 | 65 | 69 | 69 | 71 | 62 | 1 | 69 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 96.00 | 77 | 68 | 69 | 81 | 73 | 75 | 76 | 75 | 76 | 74 | 70 | 52 | 50 | 1 | 68 | 24 | 975,000$/2yrs | |
![]() | 0 | 100.00 | 69 | 70 | 69 | 67 | 69 | 67 | 69 | 66 | 68 | 69 | 68 | 70 | 63 | 1 | 63 | 33 | 5,000,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.00 | 73 | 69 | 69 | 74 | 71 | 71 | 73 | 71 | 72 | 72 | 69 | 61 | 57 | 1 | 66 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Claude Julien | 67 | 72 | 66 | 75 | 68 | 73 | 1 | CAN | 65 | 1 | 1,200,000$ |
General Manager | Patrick Saumier |
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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 | Dryden Hunt | ![]() | 0 | LW/RW | 4 | 4 | 0 | 4 | -2 | 2 | 0 | 2 | 18 | 7 | 16 | 22.22% | 2 | 23.20 | 2 | 0 | 2 | 0 | 0 | 0 | 13 | 0 | 0 | 18.75% | 0 | 0 | 1.00 | 0 | 0 | 0.93 | ||
2 | Macklin Celebrini | ![]() | 0 | C | 4 | 2 | 2 | 4 | 1 | 2 | 0 | 5 | 11 | 2 | 9 | 18.18% | 0 | 14.23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 47.06% | 0 | 0 | 1.00 | 0 | 0 | 0.96 | ||
3 | Jansen Harkins | ![]() | 0 | C/LW/RW | 4 | 1 | 2 | 3 | -1 | 2 | 0 | 5 | 6 | 1 | 3 | 16.67% | 4 | 19.58 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 28.57% | 0 | 0 | 0.75 | 0 | 0 | 0.50 | ||
4 | Olen Zellweger | ![]() | 0 | D | 4 | 0 | 2 | 2 | 2 | 2 | 0 | 1 | 3 | 2 | 1 | 0.00% | 2 | 16.90 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.49 | ||
5 | Tyler Johnson | ![]() | 0 | C | 4 | 1 | 1 | 2 | -1 | 0 | 0 | 2 | 6 | 2 | 0 | 16.67% | 2 | 16.45 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 0 | 0 | 0.50 | 0 | 0 | 0.38 | ||
6 | Henry Thrun | ![]() | 0 | D | 4 | 0 | 2 | 2 | 2 | 0 | 0 | 2 | 2 | 3 | 2 | 0.00% | 4 | 17.08 | 0 | 1 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.59 | ||
7 | Matt Rempe | ![]() | 0 | C/LW/RW | 4 | 0 | 2 | 2 | -2 | 10 | 0 | 6 | 10 | 3 | 1 | 0.00% | 3 | 22.70 | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 37.61% | 0 | 0 | 0.50 | 0 | 0 | -0.12 | ||
8 | Adam Fantilli | ![]() | 0 | C/LW | 4 | 1 | 0 | 1 | -2 | 0 | 0 | 3 | 9 | 4 | 6 | 11.11% | 1 | 18.77 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 11.11% | 0 | 0 | 0.25 | 0 | 0 | 0.25 | ||
9 | Nick Leddy | ![]() | 0 | D | 4 | 0 | 1 | 1 | -2 | 0 | 0 | 0 | 3 | 1 | 2 | 0.00% | 2 | 12.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.06 | ||
10 | Keaton Middleton | ![]() | 0 | D | 4 | 0 | 1 | 1 | -5 | 10 | 0 | 6 | 4 | 8 | 1 | 0.00% | 3 | 24.00 | 0 | 1 | 1 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.55 | ||
11 | Adam Henrique | ![]() | 0 | C/LW/RW | 4 | 0 | 1 | 1 | -1 | 2 | 0 | 3 | 9 | 1 | 5 | 0.00% | 0 | 15.35 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 25.00% | 0 | 0 | 0.25 | 0 | 0 | 0.16 | ||
12 | Ryan Johansen | ![]() | 0 | C | 4 | 0 | 1 | 1 | -2 | 0 | 0 | 4 | 8 | 2 | 7 | 0.00% | 1 | 23.63 | 0 | 1 | 1 | 0 | 0 | 0 | 14 | 0 | 0 | 37.50% | 0 | 0 | 0.25 | 0 | 0 | 0.18 | ||
13 | Darren Raddysh | ![]() | 0 | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 3.12 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | ||
14 | Travis Hamonic | ![]() | 0 | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 2 | 1 | 0 | 0.00% | 8 | 13.18 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | ||
15 | Ben Chiarot | ![]() | 0 | D | 4 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 5.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | ||
16 | Kevin Stenlund | ![]() | 0 | C/RW | 4 | 0 | 0 | 0 | -2 | 6 | 0 | 7 | 3 | 2 | 3 | 0.00% | 1 | 15.56 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 42.86% | 0 | 0 | 0.00 | 0 | 0 | -0.33 | ||
17 | Jacob Moverare | ![]() | 0 | D | 4 | 0 | 0 | 0 | -5 | 0 | 0 | 5 | 6 | 1 | 2 | 0.00% | 4 | 25.00 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.27 | ||
18 | Kevin Bahl | ![]() | 0 | D | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 5.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.09 | ||
Team Total or Average | 72 | 9 | 15 | 24 | -20 | 38 | 0 | 54 | 101 | 40 | 58 | 8.91% | 40 | 16.22 | 3 | 6 | 9 | 46 | 0 | 0 | 0 | 126 | 1 | 0 | 38.10% | 231 | 18 | 27 | 0 | 0 | 0.41 | 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 | Jakub Dobes | ![]() | 3 | 1 | 2 | 0 | 0.895 | 3.69 | 179 | 0 | 0 | 11 | 105 | 44 | 0 | 0 | 0.000 | 0 | 3 | 1 | 0 | 1 | 0 |
2 | Jack Campbell | ![]() | 1 | 0 | 1 | 0 | 0.875 | 4.00 | 60 | 0 | 0 | 4 | 32 | 15 | 0 | 0 | 0.000 | 0 | 1 | 3 | 0 | 0 | 0 |
Team Total or Average | 4 | 1 | 3 | 0 | 0.891 | 3.77 | 239 | 0 | 0 | 15 | 137 | 59 | 0 | 0 | 0.000 | 0 | 4 | 4 | 0 | 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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 2 | 13 | 11 | 0 | 29 | 12 | 12 | 11 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 15 | 7 | 23 | 11 | 20 | 8 | 25.0% | 3.8% | 79.3% | 83.2 | Unlucky |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 26 | 8 | 5 | 13 | 0 | 32 | 10 | 12 | 13 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 15 | 7 | 23 | 10 | 20 | 9 | 50.0% | 7.7% | 87.5% | 95.2 | Unlucky |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 29 | 8 | 19 | 2 | 0 | 40 | 9 | 8 | 12 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 17 | 7 | 23 | 9 | 19 | 9 | 60.0% | 13.8% | 95.0% | 108.8 | LUCKY |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 20 | 7 | 4 | 9 | 0 | 36 | 9 | 6 | 18 | 2 | 2 | 100.00% | 3 | 0 | 100.00% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 16 | 8 | 24 | 9 | 18 | 9 | 0.0% | 10.0% | 91.7% | 101.7 | LUCKY |
_Vs Division | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 75 | 17 | 36 | 22 | 0 | 105 | 30 | 26 | 41 | 6 | 3 | 50.00% | 13 | 3 | 76.92% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 50 | 23 | 71 | 30 | 57 | 27 | 33.3% | 9.3% | 89.5% | 98.9 | FUN | |
_Vs Conference | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 0.250 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 0 | 101 | 25 | 41 | 35 | 0 | 137 | 40 | 38 | 54 | 7 | 3 | 42.86% | 19 | 5 | 73.68% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 66 | 30 | 95 | 41 | 78 | 36 | 37.5% | 8.9% | 89.1% | 98.0 | Unlucky | |
_Since Last GM Reset | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 0.250 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 0 | 101 | 25 | 41 | 35 | 0 | 137 | 40 | 38 | 54 | 7 | 3 | 42.86% | 19 | 5 | 73.68% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 66 | 30 | 95 | 41 | 78 | 36 | 37.5% | 8.9% | 89.1% | 98.0 | Unlucky | |
Total | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 0.250 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 0 | 101 | 25 | 41 | 35 | 0 | 137 | 40 | 38 | 54 | 7 | 3 | 42.86% | 19 | 5 | 73.68% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 66 | 30 | 95 | 41 | 78 | 36 | 37.5% | 8.9% | 89.1% | 98.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 16 |
Neutral Zone | 19 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 72 |
Neutral Zone Start | 60 |
Defensive Zone Start | 99 |
Puck Time | |
---|---|
With Puck | 27 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 88 |
Faceoffs Lost | 143 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 6.3 | 9.57 |
2nd Period | 16.5 | 20.31 |
3rd Period | 25.3 | 30.68 |
Overtime | 25.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 6 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 7 |
---|---|
PP Goal | 3 |
PK Attempt | 19 |
PK Goal Against | 5 |
Home | |
---|---|
Shots For | 25.3 |
Shots Against | 34.3 |
Goals For | 2.3 |
Goals Against | 3.8 |
Hits | 13.5 |
Shots Blocked | 10.0 |
Pim | 9.5 |
![]() | |
Projected Total Cap Hit | 78,159,148$ |
Projected Cap Space | 17,340,852$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 3,256,632$ |
Players In Salary Cap | 25 |
Contracts | 58/50 |
LTIR Players | 0 |
Flames Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fantilli ![]() | C/LW | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Adam Henrique ![]() | C/LW/RW | 35 | 6,887,000$ | 6,887,000$ | 6,887,000$ | 6,887,000$ | UFA | ||||
Ben Chiarot ![]() | D | 34 | 7,887,000$ | 7,887,000$ | 7,887,000$ | 7,887,000$ | 7,887,000$ | UFA | |||
Brad Hunt ![]() | D | 36 | 5,087,000$ | 5,087,000$ | UFA | ||||||
Darren Raddysh ![]() | D | 29 | 3,087,087$ | 3,087,087$ | UFA | ||||||
Dryden Hunt ![]() | LW/RW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Florian Xhekaj ![]() | LW | 21 | 866,667$ | 975,000$ | 975,000$ | RFA | |||||
Henry Thrun ![]() | D | 24 | 975,000$ | 975,000$ | RFA | ||||||
Hunter Drew ![]() | RW | 26 | 2,887,887$ | 2,887,887$ | ![]() | ||||||
Jack Campbell ![]() | G | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Jacob Moverare ![]() | D | 26 | 1,500,000$ | 1,500,000$ | ![]() | ||||||
Jakub Dobes ![]() | G | 24 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Jansen Harkins ![]() | C/LW/RW | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Keaton Middleton ![]() | D | 27 | 1,500,000$ | 1,500,000$ | ![]() | ||||||
Kevin Bahl ![]() | D | 25 | 2,087,087$ | 2,087,087$ | 2,087,087$ | 2,087,087$ | ![]() | ||||
Kevin Connauton ![]() | D | 35 | 3,250,000$ | 3,250,000$ | UFA | ||||||
Kevin Stenlund ![]() | C/RW | 28 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Macklin Celebrini ![]() | C | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Matt Rempe ![]() | C/LW/RW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Nick Leddy ![]() | D | 34 | 5,087,000$ | 5,087,000$ | 5,087,000$ | 5,087,000$ | UFA | ||||
Olen Zellweger ![]() | D | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Riley Nash ![]() | C/LW/RW | 36 | 5,087,000$ | 5,087,000$ | UFA | ||||||
Ryan Johansen ![]() | C | 32 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Travis Hamonic ![]() | D | 34 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | ||||
Tyler Johnson ![]() | C | 34 | 4,887,087$ | 4,887,087$ | 4,887,087$ | 4,887,087$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Engstrom ![]() | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Adam Sykora ![]() | LW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Adam Wilsby ![]() | D | 24 | 975,000$ | 975,000$ | RFA | ||||||
Ben King ![]() | C | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Bradley Marek ![]() | C/LW/RW | 24 | 2,487,887$ | 2,487,887$ | RFA | ||||||
Case McCarthy ![]() | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
Casey Fitzgerald ![]() | D | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Curtis Hall ![]() | C | 25 | 1,000,001$ | 1,000,001$ | ![]() | ||||||
Daniil Misyul ![]() | D | 24 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Dylan Wells ![]() | G | 27 | 1,500,000$ | 1,500,000$ | ![]() | ||||||
Dysin Mayo ![]() | D | 28 | 2,487,887$ | 2,487,887$ | UFA | ||||||
Eemil Viro ![]() | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
Ethan Keppen ![]() | C/LW/RW | 24 | 2,887,887$ | 2,887,887$ | RFA | ||||||
Henrik Tikkanen ![]() | G | 24 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Ilya Solovyov ![]() | D | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Isaiah Saville ![]() | G | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Jacob Fowler ![]() | G | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Jacob Gaucher ![]() | C | 24 | 2,487,887$ | 2,487,887$ | RFA | ||||||
Jayden Grubbe ![]() | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jett Jones ![]() | C/LW/RW | 22 | 2,487,887$ | 2,487,887$ | RFA | ||||||
Julian Lutz ![]() | LW | 21 | 923,333$ | 975,000$ | 975,000$ | RFA | |||||
Kasper Halttunen ![]() | RW | 20 | 908,333$ | 975,000$ | 975,000$ | RFA | |||||
Lucas Ciona ![]() | LW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Luke Philp ![]() | C | 29 | 1,300,001$ | 1,300,001$ | UFA | ||||||
Mackie Samoskevich ![]() | RW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Matt Luff ![]() | RW | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Robbie Russo ![]() | D | 32 | 2,487,887$ | 2,487,887$ | UFA | ||||||
Sasha Pastujov ![]() | RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Taige Harding ![]() | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
Trevor Janicke ![]() | RW | 24 | 975,000$ | 975,000$ | RFA | ||||||
Tristan Broz ![]() | C | 22 | 925,000$ | 975,000$ | 975,000$ | RFA | |||||
Tye Felhaber ![]() | LW | 26 | 2,887,887$ | 2,887,887$ | ![]() | ||||||
Tyson Kozak ![]() | C | 22 | 975,000$ | 975,000$ | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 2 | 13 | 11 | 0 | 29 | 12 | 12 | 11 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 15 | 7 | 23 | 11 | 20 | 8 | 25.0% | 3.8% | 79.3% | 83.2 | Unlucky |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 26 | 8 | 5 | 13 | 0 | 32 | 10 | 12 | 13 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 15 | 7 | 23 | 10 | 20 | 9 | 50.0% | 7.7% | 87.5% | 95.2 | Unlucky |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 29 | 8 | 19 | 2 | 0 | 40 | 9 | 8 | 12 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 17 | 7 | 23 | 9 | 19 | 9 | 60.0% | 13.8% | 95.0% | 108.8 | LUCKY |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 20 | 7 | 4 | 9 | 0 | 36 | 9 | 6 | 18 | 2 | 2 | 100.00% | 3 | 0 | 100.00% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 16 | 8 | 24 | 9 | 18 | 9 | 0.0% | 10.0% | 91.7% | 101.7 | LUCKY |
_Vs Division | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 75 | 17 | 36 | 22 | 0 | 105 | 30 | 26 | 41 | 6 | 3 | 50.00% | 13 | 3 | 76.92% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 50 | 23 | 71 | 30 | 57 | 27 | 33.3% | 9.3% | 89.5% | 98.9 | FUN | |
_Vs Conference | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 0.250 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 0 | 101 | 25 | 41 | 35 | 0 | 137 | 40 | 38 | 54 | 7 | 3 | 42.86% | 19 | 5 | 73.68% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 66 | 30 | 95 | 41 | 78 | 36 | 37.5% | 8.9% | 89.1% | 98.0 | Unlucky | |
_Since Last GM Reset | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 0.250 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 0 | 101 | 25 | 41 | 35 | 0 | 137 | 40 | 38 | 54 | 7 | 3 | 42.86% | 19 | 5 | 73.68% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 66 | 30 | 95 | 41 | 78 | 36 | 37.5% | 8.9% | 89.1% | 98.0 | Unlucky | |
Total | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 0.250 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 0 | 101 | 25 | 41 | 35 | 0 | 137 | 40 | 38 | 54 | 7 | 3 | 42.86% | 19 | 5 | 73.68% | 0 | 27 | 72 | 37.50% | 39 | 99 | 39.39% | 22 | 60 | 36.67% | 66 | 30 | 95 | 41 | 78 | 36 | 37.5% | 8.9% | 89.1% | 98.0 | Unlucky |
Puck Time | |
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Offensive Zone | 16 |
Neutral Zone | 19 |
Defensive Zone | 23 |
Puck Time | |
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Offensive Zone Start | 72 |
Neutral Zone Start | 60 |
Defensive Zone Start | 99 |
Puck Time | |
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With Puck | 27 |
Without Puck | 32 |
Faceoffs | |
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Faceoffs Won | 88 |
Faceoffs Lost | 143 |
Team Average Shots after | League Average Shots after | |
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1st Period | 6.3 | 9.57 |
2nd Period | 16.5 | 20.31 |
3rd Period | 25.3 | 30.68 |
Overtime | 25.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 6 |
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PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 1 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 7 |
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PP Goal | 3 |
PK Attempt | 19 |
PK Goal Against | 5 |
Home | |
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Shots For | 25.3 |
Shots Against | 34.3 |
Goals For | 2.3 |
Goals Against | 3.8 |
Hits | 13.5 |
Shots Blocked | 10.0 |
Pim | 9.5 |
Date | Matchup | Result | Detail | |||||||||||
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Thu, Oct 9 | ![]() | @ | ![]() | CAL1,EDM6 | RECAP | |||||||||
Fri, Oct 10 | ![]() | @ | ![]() | CAL4,VAN2 | RECAP | |||||||||
Sun, Oct 12 | ![]() | @ | ![]() | STL4,CAL2 | RECAP | |||||||||
Wed, Oct 15 | ![]() | @ | ![]() | GKV3,CAL2 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,159,148$ | 0$ | 78,159,148$ | 17,340,852$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Pengrowth Saddledome | |
City | Calgary | ||
Capacity | 18448 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6150 | 5200 | 2300 | 3748 | 1050 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 8671 | 8047 | 4600 | 6721 | 2015 |
Attendance PCT | 70.50% | 77.38% | 100.00% | 89.66% | 95.95% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 15027 - 81.46% | 1,331,421$ | 2,662,842$ | 18448 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,159,148$ | 78,159,148$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,306,632$ | 78,159,148$ | 3,256,632$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
51,925,419$ | 184 | 413,329$ | 76,052,536$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
81,343,640$ | 78,159,148$ | 44,936,761$ | 15,518,540$ |
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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 |
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2026 | ![]() ![]() ![]() ![]() ![]() ![]() | ![]() ![]() ![]() | ![]() ![]() ![]() | ![]() | ![]() ![]() | ![]() | ![]() |
2027 | ![]() | ![]() ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
2028 | ![]() ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2030 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aapeli Rasanen | ![]() | 2016 | 185 | ||
Aaron Pionk | ![]() | 2023 | 169 | ||
Aiden Celebrini | ![]() | 2023 | 128 | ||
Ales Cech | ![]() | 2024 | 214 | ||
Alex Bump | ![]() | 2022 | 162 | ||
Alexis Bernier | ![]() | 2024 | 80 | ||
Andrew Cristall | ![]() | 2023 | 33 | ||
Andrew Shortridge | ![]() | 2019 | 194 | Link | |
Arno Tiefensee | ![]() | 2023 | 149 | ||
Arseny Gritsyuk | ![]() | 2019 | 150 | ||
Asher Barnett | ![]() | 2025 | 153 | ||
Beck Warm | ![]() | ||||
Calum Ritchie | ![]() | 2023 | 21 | ||
Cam Johnson | ![]() | ||||
Cameron Allen | ![]() | 2023 | 90 | ||
Carson Focht | ![]() | 2019 | 186 | ||
Carson Wetsch | ![]() | 2024 | 70 | ||
Cedric Paquette | ![]() | Link | |||
Chandler Romeo | ![]() | 2021 | 204 | ||
Charlie Stramel | ![]() | 2023 | 31 | ||
Charlton Trethewey | ![]() | 2025 | 79 | ||
Chase Pearson | ![]() | ||||
Connor McClennon | ![]() | 2020 | 166 | ||
Dmitri Isayev | ![]() | 2025 | 93 | ||
Dmitri Samorukov | ![]() | 2017 | 84 | ||
Dylan Mackinnon | ![]() | 2023 | 88 | ||
Dylan St. Cyr | ![]() | ||||
Edgars Kulda | ![]() | 2014 | 185 | ||
Egor Serdyuk | ![]() | 2019 | 151 | ||
Eric Staal | ![]() | ||||
Erik Bradford | ![]() | ||||
Etienne Morin | ![]() | 2023 | 37 | ||
Filip Hallander | ![]() | 2018 | 57 | ||
Francesco Arcuri | ![]() | 2021 | 183 | ||
Gabriel D'Aigle | ![]() | 2025 | 66 | ||
Greg Printz | ![]() | ||||
Hudson Elynuik | ![]() | 2016 | 95 | ||
Jakob Ragnarsson | ![]() | 2018 | 93 | ||
Jakub Fibigr | ![]() | 2024 | 148 | ||
Jakub Vondras | ![]() | 2022 | 145 | ||
Janne Kuokkanen | ![]() | Link | |||
Jeremias Lindewall | ![]() | 2020 | 198 | ||
John Mooney | ![]() | 2025 | 34 | ||
John Whipple | ![]() | 2024 | 207 | ||
Johnathan MacLeod | ![]() | 2014 | 65 | ||
Jonathan Toews | ![]() | ||||
Joseph Cramarossa | ![]() | ||||
Juraj Pekarcik | ![]() | 2023 | 56 | ||
Kalle Vaisanen | ![]() | 2021 | 104 | ||
Kenny Connors | ![]() | 2022 | 136 | ||
Kevin Reidler | ![]() | 2022 | 128 | ||
Kurtis Gabriel | ![]() | Link | |||
Linus Sandin | ![]() | 2020 | 173 | Link | |
Louis-Philip Guindon | ![]() | Link | |||
Lucas Feuk | ![]() | 2019 | 172 | ||
Luka Burzan | ![]() | 2019 | 213 | ||
Luke Mittelstadt | ![]() | 2023 | 152 | ||
Maceo Phillips | ![]() | 2025 | 103 | ||
Marcus Gidlöf | ![]() | 2024 | 142 | ||
Mason Beaupit | ![]() | 2022 | 70 | ||
Mathieu Cataford | ![]() | 2023 | 46 | ||
Matthew Schaefer | ![]() | 2025 | 1 | ||
Maxim Mayorov | ![]() | 2022 | 102 | ||
Maxim Shabanov | ![]() | 2025 | 37 | ||
Michael Hrabal | ![]() | 2023 | 32 | ||
Michael Stone | ![]() | ||||
Nathan Beaulieu | ![]() | ||||
Nick Lardis | ![]() | 2023 | 65 | ||
Nico Gross | ![]() | 2018 | 133 | ||
Nikita Tyurin | ![]() | 2025 | 151 | ||
Noah Laberge | ![]() | 2025 | 160 | ||
Oliver Moore | ![]() | 2023 | 14 | ||
Pat Maroon | ![]() | ||||
Phillip Di Giuseppe | ![]() | Link | |||
Ryan Murray | ![]() | ||||
Ryan Olsen | ![]() | Link | |||
Sacha Boisvert | ![]() | 2024 | 16 | ||
Sam Laurila | ![]() | 2025 | 117 | ||
Samu Bau | ![]() | 2023 | 185 | ||
Samuel Jonsson | ![]() | 2022 | 134 | ||
Tanner Howe | ![]() | 2024 | 46 | ||
Tobias Geisser | ![]() | Link | |||
Topias Leinonen | ![]() | 2022 | 41 | ||
Trevor Hoskin | ![]() | 2024 | 98 | ||
Ty Voit (C/LW) | ![]() | 2021 | 155 | ||
Victor Johansson | ![]() | 2024 | 177 | ||
Vyacheslav Buteyet | ![]() | 2022 | 166 | ||
Warren Clark | ![]() | 2023 | 216 | ||
William McIsaac | ![]() | 2024 | 133 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2026 | ![]() ![]() ![]() ![]() ![]() ![]() | ![]() ![]() ![]() | ![]() ![]() ![]() | ![]() | ![]() ![]() | ![]() | ![]() |
2027 | ![]() | ![]() ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
2028 | ![]() ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2030 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aapeli Rasanen | ![]() | 2016 | 185 | ||
Aaron Pionk | ![]() | 2023 | 169 | ||
Aiden Celebrini | ![]() | 2023 | 128 | ||
Ales Cech | ![]() | 2024 | 214 | ||
Alex Bump | ![]() | 2022 | 162 | ||
Alexis Bernier | ![]() | 2024 | 80 | ||
Andrew Cristall | ![]() | 2023 | 33 | ||
Andrew Shortridge | ![]() | 2019 | 194 | Link | |
Arno Tiefensee | ![]() | 2023 | 149 | ||
Arseny Gritsyuk | ![]() | 2019 | 150 | ||
Asher Barnett | ![]() | 2025 | 153 | ||
Beck Warm | ![]() | ||||
Calum Ritchie | ![]() | 2023 | 21 | ||
Cam Johnson | ![]() | ||||
Cameron Allen | ![]() | 2023 | 90 | ||
Carson Focht | ![]() | 2019 | 186 | ||
Carson Wetsch | ![]() | 2024 | 70 | ||
Cedric Paquette | ![]() | Link | |||
Chandler Romeo | ![]() | 2021 | 204 | ||
Charlie Stramel | ![]() | 2023 | 31 | ||
Charlton Trethewey | ![]() | 2025 | 79 | ||
Chase Pearson | ![]() | ||||
Connor McClennon | ![]() | 2020 | 166 | ||
Dmitri Isayev | ![]() | 2025 | 93 | ||
Dmitri Samorukov | ![]() | 2017 | 84 | ||
Dylan Mackinnon | ![]() | 2023 | 88 | ||
Dylan St. Cyr | ![]() | ||||
Edgars Kulda | ![]() | 2014 | 185 | ||
Egor Serdyuk | ![]() | 2019 | 151 | ||
Eric Staal | ![]() | ||||
Erik Bradford | ![]() | ||||
Etienne Morin | ![]() | 2023 | 37 | ||
Filip Hallander | ![]() | 2018 | 57 | ||
Francesco Arcuri | ![]() | 2021 | 183 | ||
Gabriel D'Aigle | ![]() | 2025 | 66 | ||
Greg Printz | ![]() | ||||
Hudson Elynuik | ![]() | 2016 | 95 | ||
Jakob Ragnarsson | ![]() | 2018 | 93 | ||
Jakub Fibigr | ![]() | 2024 | 148 | ||
Jakub Vondras | ![]() | 2022 | 145 | ||
Janne Kuokkanen | ![]() | Link | |||
Jeremias Lindewall | ![]() | 2020 | 198 | ||
John Mooney | ![]() | 2025 | 34 | ||
John Whipple | ![]() | 2024 | 207 | ||
Johnathan MacLeod | ![]() | 2014 | 65 | ||
Jonathan Toews | ![]() | ||||
Joseph Cramarossa | ![]() | ||||
Juraj Pekarcik | ![]() | 2023 | 56 | ||
Kalle Vaisanen | ![]() | 2021 | 104 | ||
Kenny Connors | ![]() | 2022 | 136 | ||
Kevin Reidler | ![]() | 2022 | 128 | ||
Kurtis Gabriel | ![]() | Link | |||
Linus Sandin | ![]() | 2020 | 173 | Link | |
Louis-Philip Guindon | ![]() | Link | |||
Lucas Feuk | ![]() | 2019 | 172 | ||
Luka Burzan | ![]() | 2019 | 213 | ||
Luke Mittelstadt | ![]() | 2023 | 152 | ||
Maceo Phillips | ![]() | 2025 | 103 | ||
Marcus Gidlöf | ![]() | 2024 | 142 | ||
Mason Beaupit | ![]() | 2022 | 70 | ||
Mathieu Cataford | ![]() | 2023 | 46 | ||
Matthew Schaefer | ![]() | 2025 | 1 | ||
Maxim Mayorov | ![]() | 2022 | 102 | ||
Maxim Shabanov | ![]() | 2025 | 37 | ||
Michael Hrabal | ![]() | 2023 | 32 | ||
Michael Stone | ![]() | ||||
Nathan Beaulieu | ![]() | ||||
Nick Lardis | ![]() | 2023 | 65 | ||
Nico Gross | ![]() | 2018 | 133 | ||
Nikita Tyurin | ![]() | 2025 | 151 | ||
Noah Laberge | ![]() | 2025 | 160 | ||
Oliver Moore | ![]() | 2023 | 14 | ||
Pat Maroon | ![]() | ||||
Phillip Di Giuseppe | ![]() | Link | |||
Ryan Murray | ![]() | ||||
Ryan Olsen | ![]() | Link | |||
Sacha Boisvert | ![]() | 2024 | 16 | ||
Sam Laurila | ![]() | 2025 | 117 | ||
Samu Bau | ![]() | 2023 | 185 | ||
Samuel Jonsson | ![]() | 2022 | 134 | ||
Tanner Howe | ![]() | 2024 | 46 | ||
Tobias Geisser | ![]() | Link | |||
Topias Leinonen | ![]() | 2022 | 41 | ||
Trevor Hoskin | ![]() | 2024 | 98 | ||
Ty Voit (C/LW) | ![]() | 2021 | 155 | ||
Victor Johansson | ![]() | 2024 | 177 | ||
Vyacheslav Buteyet | ![]() | 2022 | 166 | ||
Warren Clark | ![]() | 2023 | 216 | ||
William McIsaac | ![]() | 2024 | 133 |
|