![]() | Marlies |
| GP: 7 | W: 3 | L: 4 GF: 21 | GA: 21 | PP%: 18.52% | PK%: 78.95% DG: Justin Roux | Morale : 40 | Moyenne d’équipe : 61 |
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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 |
| # | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Rory Kerins | X | 100.00 | 61 | 35 | 93 | 68 | 65 | 85 | 83 | 67 | 69 | 66 | 65 | 64 | 68 | 63 | 65 | 0 | 40 | 65 | 0 | 24 | 2 | 925,000$ | ||||
| 2 | Joel Teasdale | X | X | 100.00 | 68 | 39 | 82 | 59 | 77 | 78 | 84 | 58 | 60 | 55 | 56 | 57 | 54 | 66 | 68 | 0 | 40 | 61 | 0 | 27 | 4 | 925,000$ | |||
| 3 | Josh Dunne | X | 100.00 | 78 | 42 | 74 | 58 | 89 | 79 | 77 | 59 | 64 | 57 | 56 | 55 | 58 | 67 | 69 | 0 | 40 | 61 | 0 | 27 | 4 | 925,000$ | ||||
| 4 | Josh Lopina | X | X | 100.00 | 70 | 39 | 89 | 58 | 79 | 66 | 84 | 57 | 61 | 55 | 56 | 59 | 57 | 64 | 66 | 0 | 40 | 61 | 0 | 25 | 3 | 925,000$ | |||
| 5 | Dylan Wendt | X | 100.00 | 67 | 37 | 95 | 59 | 76 | 69 | 62 | 57 | 55 | 58 | 56 | 54 | 59 | 64 | 66 | 0 | 40 | 60 | 0 | 25 | 3 | 925,000$ | ||||
| 6 | Lleyton Roed | X | 100.00 | 61 | 37 | 89 | 58 | 70 | 82 | 71 | 57 | 61 | 59 | 59 | 56 | 58 | 63 | 65 | 0 | 40 | 60 | 0 | 24 | 3 | 925,000$ | ||||
| 7 | Riley Fiddler-Schultz | X | 100.00 | 65 | 39 | 87 | 58 | 74 | 80 | 70 | 57 | 62 | 56 | 59 | 55 | 57 | 63 | 65 | 0 | 40 | 60 | 0 | 24 | 3 | 925,000$ | ||||
| 8 | Maros Jedlicka | X | 100.00 | 70 | 38 | 93 | 55 | 79 | 63 | 62 | 54 | 61 | 53 | 57 | 56 | 60 | 63 | 65 | 0 | 40 | 59 | 0 | 23 | 3 | 925,000$ | ||||
| 9 | Sahil Panwar | X | 100.00 | 59 | 38 | 81 | 56 | 72 | 74 | 68 | 54 | 52 | 55 | 55 | 53 | 56 | 63 | 65 | 0 | 40 | 58 | 0 | 24 | 3 | 925,000$ | ||||
| 10 | Ryan Gagnier | X | 100.00 | 55 | 37 | 92 | 54 | 72 | 71 | 64 | 52 | 57 | 53 | 55 | 51 | 54 | 63 | 65 | 0 | 40 | 57 | 0 | 24 | 3 | 925,000$ | ||||
| 11 | Trevor Janicke (R) | X | 100.00 | 56 | 36 | 95 | 54 | 69 | 63 | 61 | 53 | 58 | 52 | 50 | 51 | 55 | 65 | 67 | 0 | 40 | 57 | 0 | 25 | 3 | 925,000$ | ||||
| 12 | Braeden Kressler | X | 100.00 | 57 | 38 | 75 | 55 | 63 | 81 | 61 | 53 | 61 | 54 | 50 | 52 | 55 | 62 | 64 | 0 | 40 | 56 | 0 | 23 | 3 | 925,000$ | ||||
| 13 | Isaak Phillips | X | 100.00 | 74 | 41 | 73 | 63 | 84 | 83 | 85 | 62 | 30 | 65 | 59 | 64 | 50 | 63 | 66 | 0 | 40 | 64 | 0 | 24 | 2 | 925,000$ | ||||
| 14 | Jack Matier | X | 100.00 | 84 | 41 | 90 | 53 | 93 | 64 | 70 | 52 | 30 | 54 | 51 | 59 | 45 | 62 | 64 | 0 | 40 | 60 | 0 | 23 | 2 | 925,000$ | ||||
| 15 | Isaac Belliveau | X | 100.00 | 68 | 41 | 79 | 55 | 77 | 66 | 63 | 54 | 30 | 56 | 52 | 57 | 46 | 63 | 65 | 0 | 40 | 58 | 0 | 23 | 3 | 925,000$ | ||||
| 16 | Jackson Edward | X | 100.00 | 70 | 39 | 86 | 54 | 79 | 63 | 65 | 53 | 30 | 56 | 52 | 55 | 45 | 61 | 63 | 0 | 40 | 58 | 0 | 22 | 3 | 926,000$ | ||||
| 17 | Joseph Arntsen | X | 100.00 | 76 | 43 | 71 | 53 | 85 | 66 | 60 | 52 | 30 | 50 | 55 | 54 | 46 | 62 | 64 | 0 | 40 | 58 | 0 | 23 | 3 | 925,000$ | ||||
| 18 | Cam McDonald | X | 100.00 | 55 | 37 | 84 | 54 | 64 | 62 | 63 | 53 | 30 | 52 | 50 | 55 | 45 | 64 | 66 | 0 | 40 | 56 | 0 | 25 | 3 | 925,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Antonio Stranges | X | 100.00 | 57 | 37 | 89 | 65 | 66 | 91 | 80 | 63 | 64 | 62 | 61 | 64 | 66 | 63 | 65 | 0 | 40 | 63 | 0 | 24 | 1 | 925,000$ | ||||
| 2 | Jake Lucchini (R) | X | 100.00 | 61 | 38 | 84 | 63 | 70 | 81 | 87 | 62 | 68 | 60 | 61 | 64 | 62 | 70 | 72 | 0 | 40 | 63 | 0 | 31 | 3 | 925,000$ | ||||
| 3 | Ben King | X | 100.00 | 74 | 41 | 82 | 59 | 83 | 75 | 83 | 58 | 64 | 57 | 59 | 60 | 56 | 63 | 65 | 0 | 40 | 62 | 0 | 24 | 2 | 925,000$ | ||||
| 4 | Gleb Veremyev | X | 100.00 | 78 | 43 | 73 | 55 | 87 | 71 | 60 | 54 | 59 | 53 | 50 | 57 | 51 | 62 | 64 | 0 | 40 | 58 | 0 | 23 | 3 | 925,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 67 | 39 | 84 | 58 | 76 | 73 | 71 | 56 | 53 | 56 | 56 | 57 | 55 | 64 | 66 | 0 | 40 | 60 | ||||||||||
| 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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Daniil Tarasov | 100.00 | 84 | 80 | 76 | 92 | 83 | 82 | 84 | 83 | 82 | 84 | 83 | 66 | 75 | 0 | 40 | 71 | 0 | 27 | 4 | 1,050,000$ | |
| 2 | Kaapo Kahkonen | 100.00 | 79 | 85 | 80 | 84 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 71 | 83 | 0 | 40 | 68 | 0 | 30 | 3 | 1,400,000$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Adam Scheel | 100.00 | 74 | 81 | 77 | 82 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 66 | 75 | 0 | 40 | 66 | 0 | 27 | 3 | 1,499,999$ | |
| 2 | Connor Hughes | 100.00 | 74 | 76 | 71 | 93 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 69 | 83 | 0 | 40 | 66 | 0 | 29 | 3 | 1,000,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 78 | 81 | 76 | 88 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 68 | 79 | 0 | 40 | 68 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dan Watson | 62 | 71 | 67 | 74 | 69 | 65 | 81 | CAN | 45 | 3 | 500,000$ |
| 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 | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Joel Teasdale | Marlies (TOR) | C/LW | 7 | 4 | 5 | 9 | 3 | 4 | 0 | 7 | 13 | 32 | 9 | 24 | 12.50% | 2 | 145 | 20.84 | 0 | 1 | 1 | 6 | 20 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 68.75% | 16 | 0 | 0 | 0 | 0 | 1.23 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 2 | Josh Dunne | Marlies (TOR) | C | 7 | 2 | 7 | 9 | 4 | 10 | 0 | 32 | 16 | 22 | 9 | 12 | 9.09% | 4 | 165 | 23.67 | 1 | 1 | 2 | 6 | 20 | 0 | 0 | 0 | 0 | 9 | 1 | 0 | 46.88% | 256 | 0 | 0 | 0 | 0 | 1.09 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 3 | Dylan Wendt | Marlies (TOR) | RW | 7 | 3 | 3 | 6 | 4 | 0 | 0 | 3 | 10 | 30 | 9 | 18 | 10.00% | 1 | 134 | 19.26 | 1 | 0 | 1 | 5 | 21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 4 | Isaac Belliveau | Marlies (TOR) | D | 7 | 3 | 3 | 6 | 2 | 4 | 0 | 16 | 8 | 24 | 5 | 12 | 12.50% | 17 | 161 | 23.03 | 1 | 2 | 3 | 14 | 23 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0% | 3 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 5 | Jack Matier | Marlies (TOR) | D | 7 | 1 | 4 | 5 | -2 | 2 | 0 | 13 | 10 | 13 | 3 | 9 | 7.69% | 9 | 181 | 25.88 | 1 | 1 | 2 | 9 | 24 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 6 | Jackson Edward | Marlies (TOR) | D | 7 | 0 | 4 | 4 | 2 | 4 | 0 | 14 | 10 | 10 | 3 | 20 | 0% | 12 | 171 | 24.55 | 0 | 2 | 2 | 5 | 23 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 33.33% | 33 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 7 | Riley Fiddler-Schultz | Marlies (TOR) | C | 7 | 2 | 2 | 4 | 0 | 0 | 0 | 9 | 20 | 29 | 8 | 13 | 6.90% | 3 | 158 | 22.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.97% | 116 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | Cam McDonald | Marlies (TOR) | D | 7 | 1 | 2 | 3 | 0 | 0 | 0 | 14 | 10 | 14 | 4 | 5 | 7.14% | 21 | 153 | 21.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 35.71% | 56 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 9 | Joseph Arntsen | Marlies (TOR) | D | 7 | 0 | 3 | 3 | -2 | 6 | 0 | 16 | 4 | 15 | 3 | 9 | 0% | 13 | 176 | 25.15 | 0 | 1 | 1 | 10 | 24 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10 | Maros Jedlicka | Marlies (TOR) | C | 7 | 1 | 2 | 3 | -5 | 4 | 0 | 15 | 24 | 22 | 7 | 27 | 4.55% | 5 | 144 | 20.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.63% | 108 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 11 | Josh Lopina | Marlies (TOR) | C/RW | 7 | 2 | 1 | 3 | 0 | 4 | 0 | 20 | 14 | 33 | 7 | 21 | 6.06% | 3 | 165 | 23.57 | 1 | 1 | 2 | 11 | 26 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 50.00% | 64 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 12 | Lleyton Roed | Marlies (TOR) | LW | 7 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 6 | 13 | 3 | 11 | 7.69% | 3 | 53 | 7.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 13 | Gleb Veremyev | Marlies (TOR) | C | 2 | 0 | 0 | 0 | 0 | 17 | 5 | 7 | 4 | 10 | 0 | 4 | 0% | 0 | 30 | 15.44 | 0 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 86 | 20 | 36 | 56 | 6 | 55 | 5 | 169 | 149 | 267 | 70 | 185 | 7.49% | 93 | 1843 | 21.44 | 5 | 9 | 14 | 68 | 188 | 0 | 0 | 0 | 0 | 103 | 2 | 0 | 46.64% | 669 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | 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 |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Daniil Tarasov | Marlies (TOR) | 7 | 3 | 2 | 2 | 0.927 | 2.80 | 429 | 2 | 0 | 20 | 275 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 1 | 1 | 0 |
| 2 | Kaapo Kahkonen | Marlies (TOR) | 1 | 0 | 0 | 0 | 0.970 | 1.88 | 32 | 0 | 0 | 1 | 33 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 8 | 3 | 2 | 2 | 0.932 | 2.73 | 461 | 2 | 0 | 21 | 308 | 0 | 0 | 0 | 0 | 7 | 7 | 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 |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Scheel | Marlies (TOR) | G | 27 | 1999-05-01 | USA | No | 192 Lbs | 191 CM | No | No | Free Agent | 2024-10-24 | No | No | 3 | 2025-07-19 | False | False | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | 1,499,999$ | 1,499,999$ | - | - | - | - | - | - | - | 1,499,999$ | 1,499,999$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL |
| Antonio Stranges | Marlies (TOR) | C | 24 | 2002-02-05 | USA | No | 168 Lbs | 180 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Ben King | Marlies (TOR) | C | 24 | 2002-05-15 | CAN | No | 200 Lbs | 191 CM | No | No | Prospect | No | No | 2 | 2024-05-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Braeden Kressler | Marlies (TOR) | C | 23 | 2003-01-05 | CAN | No | 169 Lbs | 175 CM | No | No | Free Agent | No | No | 3 | 2025-07-26 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Cam McDonald | Marlies (TOR) | D | 25 | 2001-02-03 | USA | No | 174 Lbs | 175 CM | No | No | Free Agent | No | No | 3 | 2025-07-26 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Connor Hughes | Marlies (TOR) | G | 29 | 1996-09-10 | CHE | No | 233 Lbs | 193 CM | No | No | Free Agent | Yes | No | 3 | 2025-07-13 | False | False | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Daniil Tarasov | Marlies (TOR) | G | 27 | 1999-03-27 | RUS | No | 203 Lbs | 196 CM | No | No | N/A | No | No | 4 | 2024-06-23 | False | False | Pro & Farm | 1,050,000$ | 0$ | 0$ | No | 1,050,000$ | 1,050,000$ | 1,050,000$ | - | - | - | - | - | - | 1,050,000$ | 1,050,000$ | 1,050,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | |
| Dylan Wendt | Marlies (TOR) | RW | 25 | 2001-01-09 | USA | No | 195 Lbs | 185 CM | No | No | Free Agent | No | No | 3 | 2025-07-26 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Gleb Veremyev | Marlies (TOR) | C | 23 | 2003-06-28 | USA | No | 205 Lbs | 193 CM | No | No | Free Agent | No | No | 3 | 2025-07-19 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Isaac Belliveau | Marlies (TOR) | D | 23 | 2002-11-26 | CAN | No | 185 Lbs | 188 CM | No | No | Free Agent | No | No | 3 | 2025-07-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Isaak Phillips | Marlies (TOR) | D | 24 | 2001-09-28 | CAN | No | 205 Lbs | 191 CM | No | No | N/A | No | No | 2 | 2024-06-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Jack Matier | Marlies (TOR) | D | 23 | 2003-04-08 | CAN | No | 205 Lbs | 198 CM | No | No | Prospect | No | No | 2 | 2024-05-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Jackson Edward | Marlies (TOR) | D | 22 | 2004-02-27 | CAN | No | 193 Lbs | 188 CM | No | No | Free Agent | No | No | 3 | 2025-07-13 | False | False | Pro & Farm | 926,000$ | 0$ | 0$ | No | 926,000$ | 926,000$ | - | - | - | - | - | - | - | 926,000$ | 926,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Jake Lucchini | Marlies (TOR) | C | 31 | 1995-05-09 | CAN | Yes | 180 Lbs | 183 CM | No | No | Draft | No | No | 3 | 2025-06-01 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Joel Teasdale | Marlies (TOR) | C/LW | 27 | 1999-03-11 | CAN | No | 212 Lbs | 183 CM | No | No | Assign Manually | No | No | 4 | 2024-07-22 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | - | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | |
| Joseph Arntsen | Marlies (TOR) | D | 23 | 2003-05-22 | CAN | No | 210 Lbs | 191 CM | No | No | Free Agent | No | No | 3 | 2025-07-26 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Josh Dunne | Marlies (TOR) | C | 27 | 1998-12-08 | USA | No | 211 Lbs | 193 CM | No | No | Assign Manually | No | No | 4 | 2024-07-22 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | - | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | |
| Josh Lopina | Marlies (TOR) | C/RW | 25 | 2001-02-16 | USA | No | 195 Lbs | 188 CM | No | No | Free Agent | No | No | 3 | 2025-07-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Kaapo Kahkonen | Marlies (TOR) | G | 30 | 1996-08-16 | FIN | No | 217 Lbs | 188 CM | No | No | Free Agent | Yes | No | 3 | 2025-07-13 | False | False | Pro & Farm | 1,400,000$ | 0$ | 0$ | No | 1,400,000$ | 1,400,000$ | - | - | - | - | - | - | - | 1,400,000$ | 1,400,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Lleyton Roed | Marlies (TOR) | LW | 24 | 2002-08-08 | USA | No | 179 Lbs | 183 CM | No | No | Free Agent | No | No | 3 | 2025-07-19 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Maros Jedlicka | Marlies (TOR) | C | 23 | 2002-10-23 | SVK | No | 194 Lbs | 188 CM | No | No | Free Agent | No | No | 3 | 2025-07-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Riley Fiddler-Schultz | Marlies (TOR) | C | 24 | 2002-05-13 | CAN | No | 200 Lbs | 183 CM | No | No | Free Agent | No | No | 3 | 2025-07-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Rory Kerins | Marlies (TOR) | C | 24 | 2002-04-12 | CAN | No | 175 Lbs | 178 CM | No | No | Prospect | No | No | 2 | 2024-05-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Ryan Gagnier | Marlies (TOR) | C | 24 | 2002-07-16 | CAN | No | 187 Lbs | 183 CM | No | No | Free Agent | No | No | 3 | 2025-07-26 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Sahil Panwar | Marlies (TOR) | LW | 24 | 2002-01-26 | CAN | No | 189 Lbs | 183 CM | No | No | Free Agent | No | No | 3 | 2025-07-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Trevor Janicke | Marlies (TOR) | C | 25 | 2000-12-25 | USA | Yes | 193 Lbs | 178 CM | No | No | Prospect | No | No | 3 | 2025-06-01 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 26 | 25.00 | 195 Lbs | 185 CM | 2.88 | 973,115$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Josh Lopina | 40 | 1 | 2 | 2 | ||
| 2 | Joel Teasdale | Josh Dunne | Dylan Wendt | 30 | 1 | 2 | 2 |
| 3 | Lleyton Roed | Riley Fiddler-Schultz | Maros Jedlicka | 20 | 1 | 2 | 2 |
| 4 | Maros Jedlicka | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Jack Matier | Joseph Arntsen | 40 | 1 | 2 | 2 | |
| 2 | Jackson Edward | Isaac Belliveau | 30 | 1 | 2 | 2 | |
| 3 | Cam McDonald | 20 | 1 | 2 | 2 | ||
| 4 | Jack Matier | Joseph Arntsen | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Josh Lopina | 60 | 1 | 2 | 2 | ||
| 2 | Joel Teasdale | Josh Dunne | Dylan Wendt | 40 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Jack Matier | Joseph Arntsen | 60 | 1 | 2 | 2 | |
| 2 | Jackson Edward | Isaac Belliveau | 40 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Josh Lopina | 60 | 1 | 2 | 2 | |
| 2 | Josh Dunne | Joel Teasdale | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jack Matier | Joseph Arntsen | 60 | 1 | 2 | 2 |
| 2 | Jackson Edward | Isaac Belliveau | 40 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Josh Dunne | 60 | 1 | 2 | 2 | Jack Matier | Joseph Arntsen | 60 | 1 | 2 | 2 |
| 2 | 40 | 1 | 2 | 2 | Jackson Edward | Isaac Belliveau | 40 | 1 | 2 | 2 | |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Josh Lopina | 60 | 1 | 2 | 2 | |
| 2 | Josh Dunne | Joel Teasdale | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jack Matier | Joseph Arntsen | 60 | 1 | 2 | 2 |
| 2 | Jackson Edward | Isaac Belliveau | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Josh Dunne | Josh Lopina | Jack Matier | Joseph Arntsen | |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Josh Dunne | Josh Lopina | Jack Matier | Joseph Arntsen | |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , Josh Dunne | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Cam McDonald, Jackson Edward, Isaac Belliveau | Cam McDonald | Jackson Edward, Isaac Belliveau |
| Tirs de pénalité |
|---|
| Dylan Wendt, , Josh Dunne, Joel Teasdale, Josh Lopina |
| Gardien |
|---|
| #1 : Daniil Tarasov, #2 : Kaapo Kahkonen |
| 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 |
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
| 1 | Monsters | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 21 | 21 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 6 | 0.429 | 21 | 36 | 57 | 0 | 0 | 9 | 8 | 4 | 0 | 277 | 84 | 75 | 88 | 30 | 308 | 97 | 57 | 170 | 27 | 5 | 18.52% | 19 | 4 | 78.95% | 0 | 127 | 294 | 43.20% | 143 | 331 | 43.20% | 52 | 110 | 47.27% | 159 | 106 | 207 | 59 | 95 | 46 |
| Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 21 | 21 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 6 | 0.429 | 21 | 36 | 57 | 0 | 0 | 9 | 8 | 4 | 0 | 277 | 84 | 75 | 88 | 30 | 308 | 97 | 57 | 170 | 27 | 5 | 18.52% | 19 | 4 | 78.95% | 0 | 127 | 294 | 43.20% | 143 | 331 | 43.20% | 52 | 110 | 47.27% | 159 | 106 | 207 | 59 | 95 | 46 | |
| _Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 21 | 21 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 6 | 0.429 | 21 | 36 | 57 | 0 | 0 | 9 | 8 | 4 | 0 | 277 | 84 | 75 | 88 | 30 | 308 | 97 | 57 | 170 | 27 | 5 | 18.52% | 19 | 4 | 78.95% | 0 | 127 | 294 | 43.20% | 143 | 331 | 43.20% | 52 | 110 | 47.27% | 159 | 106 | 207 | 59 | 95 | 46 | |
| _Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 21 | 21 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 6 | 0.429 | 21 | 36 | 57 | 0 | 0 | 9 | 8 | 4 | 0 | 277 | 84 | 75 | 88 | 30 | 308 | 97 | 57 | 170 | 27 | 5 | 18.52% | 19 | 4 | 78.95% | 0 | 127 | 294 | 43.20% | 143 | 331 | 43.20% | 52 | 110 | 47.27% | 159 | 106 | 207 | 59 | 95 | 46 | |
| Total pour les joueurs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
| 7 | 6 | L1 | 21 | 36 | 57 | 277 | 308 | 97 | 57 | 170 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 7 | 3 | 4 | 0 | 0 | 0 | 0 | 21 | 21 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 3 | 1 | 2 | 0 | 0 | 0 | 0 | 9 | 10 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 4 | 2 | 2 | 0 | 0 | 0 | 0 | 12 | 11 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 3 | 2 | 0 | 2 | 0 | 0 |
| Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
|---|---|---|---|---|---|---|
| 27 | 5 | 18.52% | 19 | 4 | 78.95% | 0 |
| Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
|---|---|---|---|---|---|---|---|
| 84 | 75 | 88 | 30 | 9 | 8 | 4 | 0 |
| Mises en jeu | ||||||||
|---|---|---|---|---|---|---|---|---|
| Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
| 127 | 294 | 43.20% | 143 | 331 | 43.20% | 52 | 110 | 47.27% |
| Temps avec la rondelle | |||||
|---|---|---|---|---|---|
| En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
| 159 | 106 | 207 | 59 | 95 | 46 |
| 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 |
| Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 - 2026-04-20 | 3 | Marlies | 4 | Monsters | 2 | W | Sommaire du match | |||
| 3 - 2026-04-22 | 11 | Marlies | 3 | Monsters | 2 | W | Sommaire du match | |||
| 5 - 2026-04-24 | 19 | Monsters | 3 | Marlies | 5 | W | Sommaire du match | |||
| 7 - 2026-04-26 | 27 | Monsters | 5 | Marlies | 3 | L | Sommaire du match | |||
| 9 - 2026-04-28 | 35 | Marlies | 3 | Monsters | 4 | L | X | Sommaire du match | ||
| 11 - 2026-04-30 | 43 | Monsters | 2 | Marlies | 1 | L | X | Sommaire du match | ||
| 13 - 2026-05-02 | 51 | Marlies | 2 | Monsters | 3 | L | Sommaire du match |
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 3000 | 2000 |
| Prix des billets | 25 | 15 |
| Assistance | 8,733 | 5,969 |
| Assistance PCT | 97.03% | 99.48% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 38 | 4901 - 98.01% | 149,825$ | 449,476$ | 5000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
| 0$ | 2,530,100$ | 2,530,100$ | 500,000$0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 0 | 0$ | 0$ |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|