![]() | SENATORS |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Patrick Rodrigue | Morale : 80 | Moyenne d’équipe : 73 |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Martin Necas | 0 | X | 100.00 | 76 | 44 | 88 | 98 | 74 | 87 | 97 | 97 | 38 | 92 | 92 | 66 | 65 | 72 | 76 | 0 | 80 | 81 | 0 | 27 | 1 | 6,500,000$ | |||||
| 2 | Tage Thompson | 0 | X | X | 100.00 | 75 | 55 | 87 | 84 | 85 | 80 | 99 | 93 | 77 | 83 | 92 | 68 | 67 | 72 | 72 | 0 | 80 | 78 | 0 | 28 | 5 | 7,142,857$ | ||||
| 3 | Ryan Nugent-Hopkins | 0 | X | X | 100.00 | 61 | 51 | 90 | 82 | 71 | 80 | 89 | 93 | 62 | 83 | 79 | 76 | 63 | 87 | 92 | 0 | 80 | 77 | 0 | 33 | 4 | 5,125,000$ | ||||
| 4 | Sebastian Aho (C) | 0 | X | 100.00 | 71 | 42 | 83 | 77 | 68 | 81 | 98 | 87 | 90 | 88 | 85 | 76 | 46 | 79 | 84 | 0 | 80 | 77 | 0 | 29 | 7 | 9,750,000$ | |||||
| 5 | Alex DeBrincat | 0 | X | X | 100.00 | 65 | 51 | 92 | 79 | 63 | 78 | 99 | 91 | 37 | 84 | 93 | 70 | 76 | 77 | 78 | 0 | 80 | 76 | 0 | 28 | 2 | 7,875,000$ | ||||
| 6 | Clayton Keller | 0 | X | 100.00 | 57 | 40 | 86 | 82 | 63 | 80 | 99 | 90 | 37 | 91 | 83 | 66 | 41 | 77 | 78 | 0 | 80 | 75 | 0 | 28 | 3 | 7,150,000$ | |||||
| 7 | Ryan Poehling | 0 | X | 100.00 | 67 | 43 | 94 | 89 | 76 | 69 | 92 | 64 | 85 | 76 | 68 | 86 | 75 | 67 | 67 | 0 | 80 | 72 | 0 | 27 | 1 | 1,900,000$ | |||||
| 8 | Zach Benson | 0 | X | 100.00 | 67 | 41 | 81 | 76 | 63 | 72 | 82 | 75 | 39 | 81 | 72 | 76 | 25 | 63 | 63 | 0 | 80 | 69 | 0 | 21 | 1 | 950,000$ | |||||
| 9 | Nicolas Roy | 0 | X | 100.00 | 75 | 54 | 90 | 70 | 77 | 67 | 91 | 68 | 86 | 68 | 60 | 79 | 50 | 70 | 74 | 0 | 80 | 68 | 0 | 29 | 2 | 3,000,000$ | |||||
| 10 | Michael McCarron | 0 | X | 100.00 | 91 | 99 | 68 | 76 | 90 | 67 | 96 | 62 | 91 | 60 | 59 | 86 | 25 | 68 | 69 | 0 | 80 | 68 | 0 | 31 | 1 | 900,000$ | |||||
| 11 | Adam Gaudette | 0 | X | X | X | 100.00 | 71 | 43 | 90 | 84 | 71 | 59 | 83 | 68 | 59 | 61 | 77 | 69 | 63 | 68 | 69 | 0 | 80 | 67 | 0 | 29 | 2 | 2,000,000$ | |||
| 12 | Taylor Raddysh | 0 | X | X | 100.00 | 69 | 43 | 93 | 83 | 75 | 61 | 85 | 64 | 31 | 62 | 64 | 75 | 25 | 68 | 69 | 0 | 79 | 66 | 0 | 28 | 2 | 1,500,000$ | ||||
| 13 | Mikhail Sergachev (A) | 0 | X | 100.00 | 65 | 43 | 83 | 93 | 79 | 90 | 95 | 87 | 25 | 76 | 54 | 94 | 63 | 75 | 80 | 0 | 80 | 79 | 0 | 28 | 6 | 8,500,000$ | |||||
| 14 | John Carlson | 0 | X | 100.00 | 63 | 43 | 86 | 80 | 82 | 87 | 88 | 83 | 25 | 77 | 61 | 91 | 56 | 90 | 97 | 0 | 80 | 78 | 0 | 36 | 1 | 8,000,000$ | |||||
| 15 | Colton Parayko (A) | 0 | X | 100.00 | 77 | 55 | 90 | 79 | 87 | 85 | 97 | 62 | 25 | 53 | 48 | 93 | 25 | 80 | 85 | 0 | 80 | 75 | 0 | 33 | 5 | 6,500,000$ | |||||
| 16 | Oliver Ekman-Larsson | 0 | X | 100.00 | 76 | 44 | 75 | 73 | 72 | 81 | 97 | 77 | 25 | 68 | 50 | 74 | 45 | 90 | 94 | 0 | 80 | 72 | 0 | 35 | 6 | 3,500,000$ | |||||
| 17 | Trevor van Riemsdyk | 0 | X | 100.00 | 59 | 42 | 91 | 77 | 79 | 69 | 85 | 63 | 25 | 52 | 48 | 87 | 25 | 79 | 82 | 0 | 80 | 70 | 0 | 35 | 1 | 3,000,000$ | |||||
| 18 | Alexander Romanov | 0 | X | 100.00 | 86 | 46 | 87 | 74 | 80 | 78 | 42 | 61 | 25 | 46 | 47 | 88 | 25 | 68 | 69 | 0 | 80 | 68 | 0 | 26 | 8 | 3,817,293$ | |||||
| Rayé | |||||||||||||||||||||||||||||||
| Équipe Mineure | |||||||||||||||||||||||||||||||
| 1 | Andrew Agozzino | 0 | X | 100.00 | 72 | 66 | 86 | 64 | 66 | 71 | 73 | 64 | 80 | 59 | 64 | 64 | 61 | 49 | 49 | 0 | 80 | 61 | 0 | 35 | 1 | 775,000$ | |||||
| 2 | Derrick Pouliot | 0 | X | 100.00 | 77 | 75 | 81 | 65 | 75 | 65 | 69 | 55 | 25 | 52 | 40 | 68 | 38 | 64 | 65 | 0 | 80 | 62 | 0 | 32 | 2 | 775,000$ | |||||
| MOYENNE D’ÉQUIPE | 100.00 | 71 | 51 | 86 | 79 | 75 | 75 | 88 | 75 | 49 | 71 | 67 | 78 | 48 | 73 | 76 | 0 | 80 | 72 | ||||||||||||
| 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 | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mackenzie Blackwood | 0 | 100.00 | 77 | 69 | 68 | 90 | 73 | 72 | 84 | 76 | 73 | 77 | 75 | 65 | 66 | 0 | 80 | 73 | 0 | 29 | 5 | 5,250,000$ | ||
| 2 | Lukas Dostal | 0 | 100.00 | 73 | 88 | 84 | 75 | 65 | 73 | 76 | 76 | 65 | 73 | 95 | 61 | 61 | 0 | 80 | 70 | 0 | 26 | 5 | 6,500,000$ | ||
| Rayé | |||||||||||||||||||||||||
| Équipe Mineure | |||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 75 | 79 | 76 | 83 | 69 | 73 | 80 | 76 | 69 | 75 | 85 | 63 | 64 | 0 | 80 | 72 | ||||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Gerard Gallant | 80 | 80 | 80 | 80 | 80 | 80 | 80 | TUR | 82 | 1 | 1,000,000$ |
| 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 |
|---|
| 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 |
|---|
| 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 Gaudette | SENATORS | C/LW/RW | 29 | 1996-10-03 | USA | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Alex DeBrincat | SENATORS | LW/RW | 28 | 1997-12-18 | USA | No | 180 Lbs | 5 ft8 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 7,875,000$ | 7,875,000$ | 7,875,000$ | No | 7,875,000$ | - | - | - | - | - | - | - | - | 7,875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Alexander Romanov | SENATORS | D | 26 | 2000-01-06 | RUS | No | 220 Lbs | 6 ft1 | No | No | N/A | No | No | 8 | False | False | Pro & Farm | 3,817,293$ | 3,817,293$ | 3,817,293$ | No | 3,817,293$ | 3,817,293$ | 3,817,293$ | 3,817,293$ | 3,817,293$ | 3,817,293$ | 3,817,293$ | - | - | 3,817,292$ | 3,817,292$ | 3,817,292$ | 3,817,292$ | 3,817,292$ | 3,817,292$ | 3,817,292$ | - | - | No | No | No | No | No | No | No | - | - | Lien / Lien NHL | ||
| Clayton Keller | SENATORS | LW | 28 | 1998-07-29 | USA | No | 175 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 7,150,000$ | 7,150,000$ | 7,150,000$ | No | 7,150,000$ | 7,150,000$ | - | - | - | - | - | - | - | 7,150,000$ | 7,150,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Colton Parayko | SENATORS | D | 33 | 1993-05-12 | CAN | No | 228 Lbs | 6 ft6 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 6,500,000$ | 6,500,000$ | 6,500,000$ | No | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | - | - | - | - | - | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien / Lien NHL | ||
| John Carlson | SENATORS | D | 36 | 1990-01-10 | USA | No | 220 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 8,000,000$ | 8,000,000$ | 8,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Lukas Dostal | SENATORS | G | 26 | 2000-06-22 | CZE | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 6,500,000$ | 6,500,000$ | 6,500,000$ | No | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | - | - | - | - | - | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien / Lien NHL | ||
| Mackenzie Blackwood | SENATORS | G | 29 | 1996-12-09 | CAN | No | 225 Lbs | 6 ft4 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 5,250,000$ | 5,250,000$ | 5,250,000$ | No | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | - | - | - | - | - | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien / Lien NHL | ||
| Martin Necas | SENATORS | RW | 27 | 1999-01-15 | CZE | No | 195 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 6,500,000$ | 6,500,000$ | 6,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Michael McCarron | SENATORS | C | 31 | 1995-03-07 | USA | No | 232 Lbs | 6 ft6 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 900,000$ | 900,000$ | 900,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Mikhail Sergachev | SENATORS | D | 28 | 1998-06-25 | RUS | No | 212 Lbs | 6 ft3 | No | No | N/A | No | No | 6 | False | False | Pro & Farm | 8,500,000$ | 8,500,000$ | 8,500,000$ | No | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | - | - | - | - | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | Lien / Lien NHL | ||
| Nicolas Roy | SENATORS | C | 29 | 1997-02-05 | CAN | No | 200 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | 3,000,000$ | - | - | - | - | - | - | - | - | 3,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Oliver Ekman-Larsson | SENATORS | D | 35 | 1991-07-17 | SWE | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 6 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | - | - | - | - | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | Lien / Lien NHL | ||
| Ryan Nugent-Hopkins | SENATORS | C/LW | 33 | 1993-04-12 | CAN | No | 192 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 5,125,000$ | 5,125,000$ | 5,125,000$ | No | 5,125,000$ | 5,125,000$ | 5,125,000$ | - | - | - | - | - | - | 5,125,000$ | 5,125,000$ | 5,125,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | ||
| Ryan Poehling | SENATORS | C | 27 | 1999-01-03 | USA | No | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,900,000$ | 1,900,000$ | 1,900,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Sebastian Aho | SENATORS | C | 29 | 1997-07-26 | FIN | No | 189 Lbs | 6 ft0 | No | No | N/A | No | No | 7 | False | False | Pro & Farm | 9,750,000$ | 9,750,000$ | 9,750,000$ | No | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | - | - | - | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | - | - | - | No | No | No | No | No | No | - | - | - | Lien / Lien NHL | ||
| Tage Thompson | SENATORS | C/RW | 28 | 1997-10-30 | USA | No | 220 Lbs | 6 ft6 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 7,142,857$ | 7,142,857$ | 7,142,857$ | No | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | - | - | - | - | - | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien / Lien NHL | ||
| Taylor Raddysh | SENATORS | LW/RW | 28 | 1998-02-18 | CAN | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Trevor van Riemsdyk | SENATORS | D | 35 | 1991-07-24 | USA | No | 210 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Zach Benson | SENATORS | LW | 21 | 2005-05-12 | CAN | No | 177 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 950,000$ | 950,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 20 | 29.30 | 203 Lbs | 6 ft2 | 3.40 | 4,943,008$ |
| Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
|---|---|---|---|---|
| 98,860,150$ | 77,610,150$ | 63,235,150$ | 56,085,150$ | 50,960,150$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Alex DeBrincat | Sebastian Aho | Martin Necas | 43 | 0 | 2 | 3 |
| 2 | Ryan Nugent-Hopkins | Tage Thompson | Clayton Keller | 40 | 0 | 2 | 3 |
| 3 | Ryan Poehling | Nicolas Roy | 15 | 1 | 2 | 2 | |
| 4 | Zach Benson | Michael McCarron | Adam Gaudette | 2 | 2 | 3 | 0 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Mikhail Sergachev | Colton Parayko | 45 | 0 | 3 | 2 | |
| 2 | Oliver Ekman-Larsson | John Carlson | 40 | 0 | 3 | 2 | |
| 3 | Trevor van Riemsdyk | Alexander Romanov | 15 | 2 | 3 | 0 | |
| 4 | Mikhail Sergachev | John Carlson | 0 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Tage Thompson | Sebastian Aho | Martin Necas | 80 | 0 | 0 | 5 |
| 2 | Ryan Nugent-Hopkins | Ryan Poehling | Alex DeBrincat | 20 | 1 | 0 | 4 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Clayton Keller | Mikhail Sergachev | 70 | 0 | 1 | 4 | |
| 2 | John Carlson | Colton Parayko | 30 | 0 | 1 | 4 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Michael McCarron | Ryan Poehling | 60 | 1 | 4 | 0 |
| 2 | Nicolas Roy | 40 | 1 | 4 | 0 | |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Mikhail Sergachev | Colton Parayko | 60 | 1 | 4 | 0 |
| 2 | Alexander Romanov | John Carlson | 40 | 1 | 4 | 0 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Ryan Poehling | 60 | 0 | 5 | 0 | Mikhail Sergachev | Colton Parayko | 60 | 0 | 5 | 0 |
| 2 | Michael McCarron | 40 | 0 | 5 | 0 | Alexander Romanov | John Carlson | 40 | 0 | 5 | 0 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Sebastian Aho | Martin Necas | 60 | 1 | 1 | 3 |
| 2 | Tage Thompson | Clayton Keller | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Mikhail Sergachev | Colton Parayko | 60 | 0 | 2 | 3 |
| 2 | Oliver Ekman-Larsson | Colton Parayko | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Clayton Keller | Sebastian Aho | Tage Thompson | Martin Necas | Mikhail Sergachev |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Ryan Poehling | Michael McCarron | Mikhail Sergachev | Colton Parayko | |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Tage Thompson, Sebastian Aho, Martin Necas | Tage Thompson, Sebastian Aho | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Mikhail Sergachev, John Carlson, Colton Parayko | Mikhail Sergachev | Colton Parayko, Mikhail Sergachev |
| Tirs de pénalité |
|---|
| Alex DeBrincat, Ryan Nugent-Hopkins, Tage Thompson, Clayton Keller, Ryan Poehling |
| Gardien |
|---|
| #1 : Mackenzie Blackwood, #2 : Lukas Dostal |
| 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 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| 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 |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 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 |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 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 |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| 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 |
| 0 | 0 | 0 | 0 | 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 |
| Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
|---|
| Capacité de l’aréna - Tendance du prix des billets - % | |||||
|---|---|---|---|---|---|
| Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
| Capacité | 8000 | 5000 | 2000 | 4000 | 1000 |
| Prix des billets | 100 | 60 | 35 | 20 | 200 |
| Assistance | 0% | 0% | 0% | 0% | 0% |
| Attendance PCT | 0% | 0% | 0% | 0% | 0% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 41 | 0 - 0% | 0$ | 0$ | 20000 | 100 |
| Dépenses | ||||
|---|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
| 0$ | 98,860,150$ | 98,860,150$ | 1,000,000$0$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|---|
| 0$ | 0$ | 0$ | 20 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 0 | 0$ | 0$ |
| Total de l’équipe estimé | ||
|---|---|---|
| Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
| 0$ | 181,771,372$ | 181,771,372$ |
| Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
|---|---|---|---|
| 0$ | 95,500,000$ | 95,500,000$ | -70,600,000$ |
| Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| 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 |
| Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
|---|---|---|---|---|---|---|
| Alexander Rykov | SENATORS | 0 | 0 | |||
| Antoine Morand | SENATORS | 2017 | 0 | |||
| Austin Moline | SENATORS | 0 | 0 | |||
| Ballo 1 Ott | SENATORS | 0 | 0 | |||
| Ballo 2 Ott | SENATORS | 0 | 0 | |||
| Brady Knowling | SENATORS | 0 | 0 | |||
| Brendan Lemieux | SENATORS | 0 | 0 | Lien | ||
| Carter Sanderson | SENATORS | 0 | 0 | |||
| Charlie Trethewey | SENATORS | 0 | 0 | |||
| Daniel Audette | SENATORS | 0 | 0 | |||
| Daniel O'Regan | SENATORS | 0 | 0 | Lien | ||
| Ethan Hay | SENATORS | 0 | 0 | |||
| Filip Zadina | SENATORS | 0 | 0 | Lien | ||
| James Rieber | SENATORS | 0 | 0 | |||
| Joe Miller | SENATORS | 2020 | 0 | |||
| Joey Muldowney | SENATORS | 0 | 0 | |||
| Logan Shaw | SENATORS | 0 | 0 | Lien | ||
| Lukas Fischer | SENATORS | 0 | 0 | |||
| Richard Gallant | SENATORS | 0 | 0 | |||
| Tobias Trejbal | SENATORS | 0 | 0 | |||
| Trevor Janicke | SENATORS | 2019 | 0 | |||
| Tyler Wall | SENATORS | 0 | 0 | |||
| Tyson Dyck | SENATORS | 0 | 0 |
| Année | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
|---|---|---|---|---|---|---|---|
| 2026 | | | | ||||
| 2027 | | | | ||||
| 2028 | | | | | | | |
| 2029 | | | | | | | |
| 2030 | | | | | | | |
| Choix au repêchage conditionnel | |||||||
| # | 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 |
|---|