New York Rangers | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Jason Deblois | Morale : 60 | Moyenne d’équipe : 72 |
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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 | Artemi Panarin | 0 | X | 100.00 | 67 | 40 | 85 | 87 | 65 | 82 | 89 | 84 | 54 | 91 | 77 | 68 | 82 | 72 | 67 | 0 | 60 | 79 | 0 | 32 | 4 | 11,642,857$ | ||||
2 | Taylor Hall (A) | 19 | X | 100.00 | 71 | 40 | 81 | 83 | 83 | 74 | 88 | 70 | 56 | 78 | 71 | 68 | 65 | 80 | 71 | 0 | 60 | 74 | 0 | 32 | 3 | 6,000,000$ | ||||
3 | Charlie Coyle | 10 | X | X | X | 100.00 | 70 | 40 | 85 | 75 | 87 | 76 | 93 | 68 | 81 | 78 | 70 | 75 | 74 | 79 | 60 | 0 | 60 | 74 | 0 | 32 | 4 | 5,250,000$ | ||
4 | Andre Burakovsky | 0 | X | X | 100.00 | 66 | 40 | 86 | 76 | 79 | 75 | 84 | 73 | 53 | 81 | 70 | 63 | 54 | 72 | 59 | 0 | 60 | 72 | 0 | 29 | 5 | 5,500,000$ | |||
5 | Kyle Palmieri | 84 | X | X | 100.00 | 74 | 47 | 80 | 71 | 78 | 75 | 84 | 68 | 55 | 75 | 73 | 69 | 74 | 77 | 67 | 0 | 60 | 72 | 0 | 33 | 3 | 5,000,000$ | |||
6 | Alexander Kerfoot | 0 | X | X | X | 100.00 | 70 | 40 | 85 | 75 | 73 | 71 | 93 | 66 | 67 | 77 | 65 | 76 | 93 | 68 | 59 | 0 | 60 | 71 | 0 | 29 | 1 | 3,500,000$ | ||
7 | Erik Haula | 12 | X | X | 100.00 | 72 | 64 | 79 | 66 | 76 | 74 | 91 | 68 | 83 | 77 | 67 | 74 | 57 | 73 | 60 | 0 | 60 | 71 | 0 | 33 | 1 | 2,375,000$ | |||
8 | Christian Dvorak | 11 | X | X | 100.00 | 65 | 40 | 90 | 74 | 76 | 76 | 82 | 67 | 83 | 76 | 66 | 71 | 61 | 67 | 59 | 0 | 60 | 71 | 0 | 28 | 3 | 4,450,000$ | |||
9 | Kailer Yamamoto | 14 | X | 100.00 | 75 | 40 | 83 | 70 | 58 | 75 | 87 | 66 | 54 | 75 | 68 | 72 | 54 | 61 | 58 | 0 | 60 | 70 | 0 | 25 | 2 | 3,100,000$ | ||||
10 | Jesper Fast | 13 | X | 100.00 | 80 | 40 | 90 | 62 | 73 | 70 | 93 | 64 | 56 | 74 | 64 | 74 | 54 | 74 | 67 | 0 | 60 | 70 | 0 | 32 | 1 | 2,000,000$ | ||||
11 | Miles Wood | 17 | X | X | 100.00 | 70 | 58 | 72 | 65 | 74 | 66 | 78 | 59 | 52 | 69 | 62 | 64 | 54 | 66 | 65 | 0 | 60 | 65 | 0 | 28 | 1 | 3,200,000$ | |||
12 | Ondrej Kase | 0 | X | 100.00 | 64 | 40 | 84 | 62 | 73 | 68 | 65 | 56 | 51 | 63 | 58 | 64 | 60 | 62 | 58 | 0 | 60 | 62 | 0 | 28 | 1 | 1,500,000$ | ||||
13 | Alex Pietrangelo (C) | 3 | X | 100.00 | 67 | 40 | 86 | 88 | 83 | 94 | 91 | 71 | 40 | 82 | 66 | 84 | 54 | 84 | 82 | 0 | 60 | 79 | 0 | 34 | 5 | 8,800,000$ | ||||
14 | Adam Pelech | 2 | X | 100.00 | 71 | 40 | 78 | 78 | 80 | 87 | 88 | 63 | 40 | 74 | 62 | 92 | 54 | 68 | 59 | 0 | 60 | 75 | 0 | 29 | 7 | 5,750,000$ | ||||
15 | T.J. Brodie | 7 | X | 100.00 | 68 | 40 | 86 | 79 | 69 | 86 | 88 | 61 | 40 | 74 | 59 | 92 | 54 | 80 | 60 | 0 | 60 | 74 | 0 | 33 | 2 | 5,000,000$ | ||||
16 | Sean Durzi | 24 | X | 100.00 | 71 | 67 | 77 | 74 | 77 | 83 | 80 | 67 | 40 | 76 | 63 | 82 | 54 | 57 | 58 | 0 | 60 | 73 | 0 | 25 | 2 | 1,700,000$ | ||||
17 | Erik Cernak | 4 | X | 100.00 | 84 | 65 | 78 | 69 | 89 | 82 | 86 | 60 | 40 | 73 | 59 | 89 | 54 | 63 | 59 | 0 | 60 | 73 | 0 | 26 | 1 | 2,950,000$ | ||||
18 | Ethan Bear | 6 | X | 100.00 | 66 | 58 | 85 | 73 | 79 | 78 | 82 | 60 | 40 | 73 | 60 | 85 | 54 | 61 | 58 | 0 | 60 | 71 | 0 | 26 | 1 | 2,200,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
Équipe Mineure | ||||||||||||||||||||||||||||||
1 | Brett Howden | 8 | X | X | 100.00 | 74 | 58 | 77 | 68 | 77 | 65 | 78 | 62 | 75 | 71 | 65 | 72 | 54 | 62 | 59 | 0 | 60 | 68 | 0 | 26 | 1 | 1,500,000$ | |||
2 | Victor Rask | 47 | X | 100.00 | 57 | 38 | 89 | 62 | 70 | 61 | 75 | 64 | 73 | 68 | 64 | 67 | 52 | 67 | 62 | 0 | 60 | 65 | 0 | 31 | 1 | 750,000$ | ||||
3 | Nolan Patrick | 0 | X | X | 100.00 | 66 | 38 | 85 | 56 | 71 | 60 | 65 | 57 | 70 | 67 | 56 | 62 | 55 | 58 | 55 | 0 | 60 | 61 | 0 | 25 | 1 | 750,000$ | |||
4 | Jakub Lauko | 29 | X | 100.00 | 61 | 60 | 70 | 59 | 66 | 61 | 60 | 57 | 54 | 60 | 59 | 64 | 54 | 56 | 54 | 0 | 60 | 60 | 0 | 24 | 1 | 764,167$ | ||||
5 | Tyler Tullio | 46 | X | 100.00 | 51 | 52 | 64 | 56 | 56 | 63 | 61 | 55 | 52 | 53 | 56 | 58 | 51 | 51 | 49 | 0 | 60 | 56 | 0 | 22 | 1 | 750,000$ | ||||
6 | Chaz Lucius | 70 | X | 100.00 | 52 | 51 | 65 | 52 | 59 | 53 | 53 | 52 | 67 | 52 | 52 | 57 | 51 | 49 | 48 | 0 | 60 | 53 | 0 | 20 | 1 | 750,000$ | ||||
7 | Isaac Howard (R) | 91 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
8 | Fraser Minten (R) | 77 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
9 | Kirill Dolzhenkov (R) | 80 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
10 | Ty Voit | 0 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 25 | 1 | 750,000$ | ||||
11 | Tyler Kleven | 26 | X | 100.00 | 54 | 38 | 75 | 52 | 71 | 68 | 55 | 51 | 38 | 72 | 50 | 67 | 51 | 51 | 55 | 0 | 60 | 60 | 0 | 22 | 3 | 916,667$ | ||||
12 | Ty Emberson | 25 | X | 100.00 | 55 | 56 | 66 | 58 | 64 | 66 | 64 | 57 | 40 | 57 | 56 | 62 | 54 | 56 | 54 | 0 | 60 | 59 | 0 | 23 | 1 | 750,000$ | ||||
13 | Kaedan Korczak | 23 | X | 100.00 | 58 | 53 | 67 | 61 | 67 | 65 | 62 | 56 | 40 | 58 | 55 | 63 | 54 | 55 | 53 | 0 | 60 | 59 | 0 | 23 | 2 | 789,167$ | ||||
14 | Lucas Johansen | 76 | X | 100.00 | 55 | 54 | 68 | 57 | 62 | 63 | 61 | 56 | 40 | 56 | 55 | 61 | 54 | 62 | 57 | 0 | 60 | 58 | 0 | 26 | 2 | 762,500$ | ||||
15 | Jack Peart (R) | 50 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 63 | 47 | 74 | 65 | 68 | 68 | 73 | 60 | 53 | 67 | 60 | 67 | 56 | 62 | 57 | 0 | 60 | 64 |
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 | Semyon Varlamov | 0 | 100.00 | 80 | 70 | 72 | 81 | 84 | 74 | 84 | 75 | 85 | 69 | 81 | 83 | 71 | 0 | 60 | 79 | 0 | 35 | 1 | 5,000,000$ | |
2 | Connor Ingram | 31 | 100.00 | 69 | 71 | 72 | 75 | 77 | 75 | 79 | 74 | 76 | 69 | 79 | 58 | 56 | 0 | 60 | 74 | 0 | 27 | 3 | 750,000$ | |
Rayé | ||||||||||||||||||||||||
Équipe Mineure | ||||||||||||||||||||||||
1 | Laurent Brossoit | 1 | 100.00 | 71 | 63 | 63 | 78 | 79 | 73 | 74 | 66 | 72 | 60 | 74 | 65 | 58 | 0 | 60 | 70 | 0 | 31 | 1 | 2,325,000$ | |
2 | Nico Daws | 33 | 100.00 | 73 | 67 | 66 | 84 | 66 | 82 | 68 | 61 | 67 | 65 | 84 | 53 | 52 | 0 | 60 | 69 | 0 | 23 | 1 | 750,000$ | |
3 | Keith Petruzzelli (R) | 34 | 100.00 | 55 | 55 | 55 | 74 | 62 | 54 | 65 | 55 | 63 | 57 | 66 | 58 | 54 | 0 | 60 | 59 | 0 | 25 | 2 | 750,000$ | |
4 | Alexis Gravel (R) | 0 | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 24 | 1 | 750,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 66 | 62 | 62 | 73 | 69 | 67 | 69 | 63 | 68 | 61 | 72 | 60 | 56 | 0 | 60 | 66 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Cassidy | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 58 | 4 | 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 | 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 |
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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 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 |
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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 | Nom de l’équipe | POS | Âge | Date de naissance | 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 | Type | Salaire actuel | Plafond salarial Non Activé | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 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 |
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Adam Pelech (contrat à 1 volet) | New York Rangers | D | 29 | 08/16/94 | No | 210 Lbs | 6 ft3 | No | No | N/A | No | No | 7 | Pro & Farm | 5,750,000$ | 5,750,000$ | 4,107,143$ | No | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | - | - | - | No | No | No | No | No | No | - | - | - | Lien | ||
Alex Pietrangelo (contrat à 1 volet) | New York Rangers | D | 34 | 01/18/90 | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 5 | Pro & Farm | 8,800,000$ | 8,800,000$ | 6,285,714$ | No | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien | ||
Alexander Kerfoot (contrat à 1 volet) | New York Rangers | C/LW/RW | 29 | 08/11/94 | No | 186 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 3,500,000$ | 3,500,000$ | 2,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Andre Burakovsky (contrat à 1 volet) | New York Rangers | LW/RW | 29 | 02/09/95 | No | 209 Lbs | 6 ft3 | No | No | N/A | No | No | 5 | Pro & Farm | 5,500,000$ | 5,500,000$ | 3,928,571$ | No | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien | ||
Artemi Panarin (contrat à 1 volet) | New York Rangers | LW | 32 | 10/30/91 | No | 173 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | Pro & Farm | 11,642,857$ | 11,642,857$ | 8,316,326$ | No | 11,642,857$ | 11,642,857$ | 11,642,857$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | ||
Charlie Coyle (contrat à 1 volet) | New York Rangers | C/LW/RW | 32 | 03/02/92 | No | 223 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | Pro & Farm | 5,250,000$ | 5,250,000$ | 3,750,000$ | No | 5,250,000$ | 5,250,000$ | 5,250,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | ||
Christian Dvorak (contrat à 1 volet) | New York Rangers | C/LW | 28 | 02/02/96 | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 4,450,000$ | 4,450,000$ | 3,178,571$ | No | 4,450,000$ | 4,450,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Connor Ingram | New York Rangers | G | 27 | 03/31/97 | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 535,714$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Erik Cernak (contrat à 1 volet) | New York Rangers | D | 26 | 05/28/97 | No | 224 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro & Farm | 2,950,000$ | 2,950,000$ | 2,107,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Erik Haula (contrat à 1 volet) | New York Rangers | C/LW | 33 | 03/23/91 | No | 191 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 2,375,000$ | 2,375,000$ | 1,696,429$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Ethan Bear (contrat à 1 volet) | New York Rangers | D | 26 | 06/26/97 | No | 197 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 2,200,000$ | 2,200,000$ | 1,571,429$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jesper Fast (contrat à 1 volet) | New York Rangers | RW | 32 | 12/02/91 | No | 191 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 2,000,000$ | 2,000,000$ | 1,428,571$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Kailer Yamamoto (contrat à 1 volet) | New York Rangers | RW | 25 | 09/29/98 | No | 153 Lbs | 5 ft8 | No | No | N/A | No | No | 2 | Pro & Farm | 3,100,000$ | 3,100,000$ | 2,214,286$ | No | 3,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Kyle Palmieri (contrat à 1 volet) | New York Rangers | LW/RW | 33 | 02/01/91 | No | 198 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | Pro & Farm | 5,000,000$ | 5,000,000$ | 3,571,429$ | No | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Miles Wood (contrat à 1 volet) | New York Rangers | LW/RW | 28 | 09/13/95 | No | 195 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 3,200,000$ | 3,200,000$ | 2,285,714$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Ondrej Kase (contrat à 1 volet) | New York Rangers | LW | 28 | 11/08/95 | No | 187 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,071,429$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Sean Durzi (contrat à 1 volet) | New York Rangers | D | 25 | 10/21/98 | No | 195 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 1,700,000$ | 1,700,000$ | 1,214,286$ | No | 1,700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Semyon Varlamov (contrat à 1 volet) | New York Rangers | G | 35 | 04/27/88 | No | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 5,000,000$ | 5,000,000$ | 3,571,429$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
T.J. Brodie (contrat à 1 volet) | New York Rangers | D | 33 | 06/07/90 | No | 187 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 5,000,000$ | 5,000,000$ | 3,571,429$ | No | 5,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Taylor Hall (contrat à 1 volet) | New York Rangers | LW | 32 | 11/14/91 | No | 210 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 6,000,000$ | 6,000,000$ | 4,285,714$ | No | 6,000,000$ | 6,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
20 | 29.80 | 197 Lbs | 6 ft1 | 2.55 | 4,283,393$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
85,667,857$ | 62,942,857$ | 53,142,857$ | 36,942,857$ | 20,050,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Artemi Panarin | Charlie Coyle | Kyle Palmieri | 30 | 1 | 2 | 2 |
2 | Taylor Hall | Erik Haula | Andre Burakovsky | 30 | 1 | 2 | 2 |
3 | Alexander Kerfoot | Christian Dvorak | Jesper Fast | 25 | 1 | 2 | 2 |
4 | Miles Wood | Ondrej Kase | Kailer Yamamoto | 15 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Alex Pietrangelo | Adam Pelech | 30 | 1 | 2 | 2 | |
2 | T.J. Brodie | Erik Cernak | 30 | 1 | 2 | 2 | |
3 | Sean Durzi | Ethan Bear | 25 | 1 | 2 | 2 | |
4 | Alex Pietrangelo | Adam Pelech | 15 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Artemi Panarin | Charlie Coyle | Kyle Palmieri | 60 | 1 | 2 | 2 |
2 | Taylor Hall | Erik Haula | Andre Burakovsky | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Alex Pietrangelo | Adam Pelech | 60 | 1 | 2 | 2 | |
2 | T.J. Brodie | Erik Cernak | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Andre Burakovsky | Taylor Hall | 60 | 1 | 2 | 2 |
2 | Charlie Coyle | Kyle Palmieri | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Alex Pietrangelo | Adam Pelech | 60 | 1 | 2 | 2 |
2 | T.J. Brodie | Erik Cernak | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Charlie Coyle | 60 | 1 | 2 | 2 | Alex Pietrangelo | Adam Pelech | 60 | 1 | 2 | 2 |
2 | Taylor Hall | 40 | 1 | 2 | 2 | T.J. Brodie | Erik Cernak | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Alexander Kerfoot | Taylor Hall | 60 | 1 | 2 | 2 |
2 | Charlie Coyle | Kyle Palmieri | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Alex Pietrangelo | Adam Pelech | 60 | 1 | 2 | 2 |
2 | T.J. Brodie | Erik Cernak | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Artemi Panarin | Charlie Coyle | Kyle Palmieri | Alex Pietrangelo | Adam Pelech |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Artemi Panarin | Charlie Coyle | Kyle Palmieri | Alex Pietrangelo | Adam Pelech |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Ondrej Kase, Christian Dvorak, Alexander Kerfoot | Ondrej Kase, Christian Dvorak | Alexander Kerfoot |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Sean Durzi, Ethan Bear, T.J. Brodie | Sean Durzi | Ethan Bear, T.J. Brodie |
Tirs de pénalité |
---|
Christian Dvorak, Taylor Hall, Charlie Coyle, Kyle Palmieri, Andre Burakovsky |
Gardien |
---|
#1 : Semyon Varlamov, #2 : Connor Ingram |
Lignes d’attaque personnalisées en prolongation |
---|
Ondrej Kase, Taylor Hall, Charlie Coyle, Kyle Palmieri, Andre Burakovsky, Erik Haula, Erik Haula, Christian Dvorak, Alexander Kerfoot, Jesper Fast, Kailer Yamamoto |
Lignes de défense personnalisées en prolongation |
---|
Alex Pietrangelo, Adam Pelech, T.J. Brodie, Erik Cernak, Sean Durzi |
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 | 5750 | 5250 | 3500 | 4000 | 1500 |
Prix des billets | 100 | 65 | 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 | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
0$ | 89,492,857$ | 88,742,857$ | 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$ | 22 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 10 | 0$ | 0$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
0$ | 458,123,003$ | 458,123,003$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
0$ | 90,000,000$ | 90,000,000$ | -55,000,000$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
---|---|---|---|---|---|---|
Axel Sandin-Pellika | New York Rangers | 2023 | 11 |
Année | R1 | R2 | R3 | R4 |
---|---|---|---|---|
2024 | ||||
2025 | ||||
2026 | ||||
2027 | ||||
2028 | ||||
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 |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|