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Full Scoreboard >> |
| 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 |
| Nom du Joueur | AGE | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | $$$ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Casey Mittelstadt | 26 | X | X | 100.00 | 63 | 42 | 90 | 84 | 72 | 75 | 98 | 77 | 80 | 75 | 71 | 62 | 55 | 70 | 71 | 2,500,000$ | ||
| Brad Marchand | 37 | X | 100.00 | 76 | 43 | 75 | 82 | 64 | 78 | 90 | 85 | 36 | 79 | 83 | 72 | 47 | 89 | 97 | 6,125,000$ | |||
| Michael Rasmussen | 26 | X | 100.00 | 83 | 60 | 90 | 83 | 85 | 65 | 94 | 67 | 50 | 61 | 66 | 71 | 25 | 68 | 68 | 1,460,000$ | |||
| Zach Werenski | 28 | X | 98.00 | 59 | 52 | 88 | 88 | 78 | 97 | 99 | 80 | 25 | 79 | 67 | 81 | 25 | 73 | 75 | 9,583,333$ | |||
| Troy Stecher | 31 | X | 100.00 | 65 | 51 | 87 | 77 | 65 | 63 | 83 | 59 | 25 | 45 | 48 | 74 | 25 | 73 | 75 | 787,500$ | |||
| Alexis Lafreniere | 23 | X | X | 100.00 | 80 | 44 | 86 | 84 | 73 | 75 | 99 | 71 | 36 | 77 | 72 | 60 | 63 | 68 | 71 | 2,325,000$ | ||
| Morgan Frost | 26 | X | 100.00 | 73 | 43 | 91 | 84 | 70 | 72 | 98 | 78 | 89 | 73 | 70 | 63 | 67 | 66 | 66 | 4,380,000$ | |||
| Jesper Boqvist | 26 | X | 100.00 | 89 | 45 | 93 | 82 | 71 | 64 | 95 | 58 | 46 | 62 | 68 | 70 | 59 | 66 | 67 | 1,500,000$ | |||
| Alexander Romanov | 25 | X | 100.00 | 88 | 46 | 90 | 77 | 80 | 85 | 81 | 60 | 25 | 59 | 48 | 88 | 25 | 67 | 68 | 2,500,000$ | |||
| Martin Necas | 26 | X | X | 100.00 | 71 | 43 | 93 | 97 | 74 | 79 | 96 | 89 | 43 | 90 | 85 | 60 | 39 | 70 | 73 | 3,000,000$ | ||
| Warren Foegele | 29 | X | X | 100.00 | 73 | 43 | 90 | 83 | 75 | 73 | 99 | 66 | 39 | 72 | 80 | 76 | 25 | 72 | 76 | 2,750,000$ | ||
| Jonas Brodin | 32 | X | 99.00 | 65 | 42 | 88 | 77 | 73 | 86 | 69 | 61 | 25 | 65 | 49 | 83 | 25 | 82 | 86 | 6,000,000$ | |||
| Matthew Nieto | 32 | X | X | 100.00 | 79 | 44 | 91 | 81 | 69 | 68 | 75 | 60 | 30 | 63 | 59 | 80 | 25 | 71 | 71 | 900,000$ | ||
| Nate Schmidt | 34 | X | 99.00 | 75 | 56 | 88 | 81 | 72 | 70 | 97 | 66 | 25 | 53 | 48 | 71 | 25 | 78 | 82 | 800,000$ | |||
| William Nylander | 29 | X | 100.00 | 59 | 41 | 89 | 85 | 73 | 81 | 99 | 85 | 52 | 82 | 95 | 63 | 55 | 77 | 80 | 6,962,366$ | |||
| Justin Brazeau | 27 | X | 100.00 | 81 | 46 | 91 | 68 | 86 | 61 | 93 | 67 | 32 | 62 | 66 | 65 | 25 | 56 | 57 | 775,000$ | |||
| Emil Heineman | 23 | X | 100.00 | 93 | 46 | 89 | 75 | 73 | 59 | 79 | 70 | 29 | 61 | 70 | 67 | 75 | 52 | 52 | 1,500,000$ | |||
| Rayé | ||||||||||||||||||||||
| Laurent Dauphin | 30 | X | X | X | 100.00 | 70 | 68 | 76 | 70 | 68 | 76 | 79 | 66 | 80 | 62 | 67 | 63 | 64 | 44 | 44 | 775,000$ | |
| Denton Mateychuk (R) | 21 | X | 33.16 | 67 | 42 | 86 | 73 | 67 | 75 | 89 | 65 | 25 | 54 | 50 | 81 | 25 | 48 | 48 | 0$ | |||
| MOYENNE D'ÉQUIPE | 96.26 | 74 | 47 | 88 | 81 | 73 | 74 | 90 | 70 | 42 | 67 | 66 | 71 | 41 | 68 | 70 | ||||||
| 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 |
| Nom du Gardien | AGE | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | $$$ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Joonas Korpisalo | 31 | 98.00 | 63 | 57 | 58 | 80 | 68 | 58 | 69 | 64 | 65 | 63 | 75 | 66 | 67 | 4,000,000$ |
| Jon Gillies | 31 | 100.00 | 46 | 48 | 60 | 89 | 44 | 45 | 50 | 53 | 46 | 47 | 30 | 47 | 47 | 1,200,000$ |
| Rayé | ||||||||||||||||
| Oscar Dansk | 31 | 100.00 | 48 | 51 | 64 | 80 | 46 | 47 | 50 | 54 | 48 | 48 | 30 | 44 | 44 | 0$ |
| Zane McIntyre | 33 | 100.00 | 47 | 50 | 63 | 79 | 45 | 46 | 50 | 53 | 47 | 48 | 30 | 44 | 44 | 1,200,000$ |
| 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 |
| Nom du Joueur | AGE | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tucker Poolman | 32 | X | 100.00 | 81 | 73 | 81 | 78 | 73 | 45 | 47 | 53 | 59 | 45 | 45 | 76 | 37 | 60 | 61 | ||||
| Ben Gleason | 27 | X | 100.00 | 76 | 71 | 86 | 63 | 71 | 55 | 56 | 53 | 25 | 50 | 41 | 62 | 39 | 44 | 44 | ||||
| Kyle Capobianco | 28 | X | 100.00 | 73 | 74 | 69 | 66 | 74 | 76 | 81 | 57 | 25 | 56 | 41 | 64 | 39 | 53 | 54 | ||||
| Victor Soderstrom | 24 | X | 100.00 | 72 | 67 | 83 | 78 | 67 | 80 | 86 | 56 | 25 | 48 | 49 | 62 | 47 | 49 | 49 | ||||
| Tyler Lewington | 30 | X | 100.00 | 71 | 73 | 67 | 62 | 73 | 56 | 59 | 46 | 25 | 36 | 40 | 58 | 38 | 45 | 45 | ||||
| Adam Brooks | 29 | X | 100.00 | 71 | 62 | 91 | 65 | 62 | 64 | 66 | 60 | 75 | 54 | 62 | 63 | 59 | 48 | 49 | ||||
| William Lagesson | 29 | X | 100.00 | 78 | 78 | 78 | 70 | 78 | 52 | 53 | 53 | 25 | 43 | 46 | 67 | 44 | 57 | 57 | ||||
| Kale Clague | 27 | X | 100.00 | 75 | 70 | 86 | 72 | 70 | 79 | 85 | 57 | 25 | 50 | 49 | 63 | 47 | 44 | 44 | ||||
| Rhett Gardner | 29 | X | X | 100.00 | 80 | 83 | 73 | 66 | 83 | 72 | 78 | 50 | 63 | 48 | 46 | 64 | 44 | 44 | 44 | |||
| Jan Mysak (R) | 23 | X | X | 100.00 | 76 | 69 | 91 | 64 | 69 | 78 | 83 | 62 | 78 | 57 | 62 | 65 | 59 | 44 | 44 | |||
| Andrei Altybarmakyan | 27 | X | 100.00 | 69 | 69 | 68 | 66 | 69 | 62 | 64 | 56 | 50 | 52 | 56 | 60 | 53 | 44 | 44 | ||||
| Maxim Sushko | 26 | X | 100.00 | 68 | 65 | 78 | 65 | 71 | 67 | 55 | 53 | 48 | 47 | 55 | 58 | 25 | 44 | 44 | ||||
| Kody Clark | 25 | X | 100.00 | 73 | 71 | 76 | 60 | 71 | 58 | 60 | 51 | 50 | 47 | 51 | 60 | 48 | 44 | 44 | ||||
| MOYENNE D'ÉQUIPE | 96.26 | 74 | 47 | 88 | 81 | 73 | 74 | 90 | 70 | 42 | 67 | 66 | 71 | 41 | 68 | 70 | ||||||
| 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 |
| Nom du Gardien | AGE | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rayé | |||||||||||||||