New York Rangers | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Dominique Ouellet | Morale : 99 | Moyenne d’équipe : 68 |
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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 | Mika Zibanejad | 0 | X | 100.00 | 62 | 36 | 94 | 76 | 81 | 92 | 90 | 83 | 80 | 84 | 82 | 85 | 83 | 79 | 74 | 70 | 80 | 76 | 0 | 30 | 7 | 8,500,000$ | ||||
2 | Artemi Panarin (A) | 0 | X | 100.00 | 55 | 34 | 89 | 86 | 69 | 92 | 90 | 86 | 57 | 92 | 77 | 63 | 82 | 77 | 79 | 27 | 80 | 75 | 0 | 31 | 3 | 11,642,857$ | ||||
3 | Vincent Trocheck | 0 | X | 100.00 | 85 | 46 | 74 | 79 | 69 | 89 | 90 | 77 | 85 | 78 | 74 | 75 | 79 | 76 | 73 | 53 | 80 | 73 | 0 | 30 | 6 | 5,625,000$ | ||||
4 | Drake Batherson | 0 | X | X | 100.00 | 75 | 40 | 84 | 79 | 83 | 89 | 84 | 78 | 55 | 81 | 76 | 63 | 75 | 66 | 68 | 56 | 80 | 72 | 0 | 25 | 4 | 4,975,000$ | |||
5 | Barclay Goodrow | 0 | X | X | X | 100.00 | 74 | 78 | 75 | 67 | 81 | 86 | 90 | 64 | 78 | 70 | 65 | 86 | 65 | 73 | 72 | 35 | 80 | 69 | 0 | 30 | 4 | 3,641,667$ | ||
6 | Kyle Palmieri | 0 | X | X | 100.00 | 72 | 34 | 88 | 72 | 74 | 88 | 83 | 72 | 57 | 72 | 76 | 60 | 74 | 83 | 77 | 49 | 65 | 69 | 0 | 32 | 2 | 5,000,000$ | |||
7 | Filip Chytil | 0 | X | 100.00 | 55 | 36 | 90 | 76 | 81 | 83 | 87 | 74 | 72 | 71 | 70 | 66 | 73 | 66 | 67 | 80 | 80 | 68 | 0 | 24 | 4 | 4,437,500$ | ||||
8 | Jesper Froden | 0 | X | 100.00 | 62 | 37 | 82 | 68 | 66 | 89 | 80 | 67 | 63 | 61 | 66 | 65 | 69 | 68 | 70 | 36 | 81 | 64 | 0 | 29 | 1 | 700,000$ | ||||
9 | Anton Blidh | 0 | X | X | 100.00 | 80 | 40 | 91 | 66 | 77 | 79 | 78 | 63 | 57 | 62 | 59 | 64 | 60 | 68 | 70 | 41 | 81 | 63 | 0 | 28 | 2 | 775,000$ | |||
10 | Jake Leschyshyn | 0 | X | 100.00 | 66 | 37 | 88 | 63 | 71 | 76 | 64 | 64 | 78 | 65 | 59 | 62 | 66 | 64 | 66 | 68 | 81 | 61 | 0 | 24 | 2 | 766,667$ | ||||
11 | Turner Elson | 0 | X | X | 100.00 | 67 | 38 | 85 | 60 | 73 | 81 | 88 | 59 | 66 | 58 | 57 | 58 | 62 | 71 | 73 | 34 | 81 | 61 | 0 | 31 | 1 | 762,500$ | |||
12 | Will Cuylle | 0 | X | 100.00 | 76 | 43 | 72 | 62 | 86 | 85 | 73 | 61 | 62 | 58 | 61 | 60 | 64 | 61 | 63 | 68 | 81 | 61 | 0 | 21 | 2 | 828,333$ | ||||
13 | Adam Fox (A) | 0 | X | 100.00 | 55 | 34 | 88 | 81 | 69 | 95 | 90 | 79 | 30 | 92 | 71 | 90 | 59 | 66 | 69 | 64 | 80 | 75 | 0 | 25 | 6 | 9,500,000$ | ||||
14 | K'Andre Miller | 0 | X | 100.00 | 80 | 38 | 86 | 75 | 91 | 92 | 90 | 68 | 30 | 76 | 67 | 83 | 55 | 64 | 65 | 81 | 80 | 74 | 0 | 23 | 2 | 3,872,500$ | ||||
15 | Linus Hogberg | 0 | X | 100.00 | 62 | 37 | 80 | 64 | 73 | 82 | 79 | 63 | 30 | 67 | 56 | 65 | 53 | 64 | 66 | 55 | 81 | 63 | 0 | 25 | 1 | 985,000$ | ||||
16 | Mac Hollowell | 0 | X | 100.00 | 61 | 36 | 75 | 67 | 63 | 79 | 72 | 64 | 30 | 66 | 58 | 63 | 51 | 65 | 67 | 57 | 81 | 62 | 0 | 25 | 1 | 775,000$ | ||||
17 | Zac Jones | 0 | X | 100.00 | 76 | 43 | 72 | 62 | 86 | 85 | 73 | 61 | 62 | 58 | 61 | 60 | 64 | 61 | 63 | 68 | 81 | 62 | 0 | 22 | 2 | 812,500$ | ||||
18 | Ty Emberson (R) | 0 | X | 100.00 | 67 | 38 | 89 | 56 | 76 | 66 | 84 | 54 | 30 | 57 | 55 | 56 | 47 | 63 | 65 | 67 | 28 | 58 | 0 | 23 | 1 | 775,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
Équipe Mineure | ||||||||||||||||||||||||||||||
1 | Lars Eller | 0 | X | 100.00 | 68 | 36 | 83 | 69 | 81 | 86 | 90 | 68 | 82 | 67 | 65 | 78 | 66 | 86 | 76 | 45 | 85 | 69 | 0 | 34 | 2 | 2,450,000$ | ||||
2 | Nick Bonino | 0 | X | X | 100.00 | 55 | 35 | 90 | 68 | 76 | 89 | 87 | 67 | 80 | 62 | 68 | 87 | 65 | 84 | 75 | 25 | 85 | 69 | 0 | 35 | 1 | 800,000$ | |||
3 | Tomas Tatar | 0 | X | X | 100.00 | 63 | 33 | 90 | 75 | 65 | 85 | 90 | 76 | 59 | 71 | 71 | 64 | 77 | 82 | 74 | 40 | 85 | 69 | 0 | 32 | 1 | 1,500,000$ | |||
4 | Kaapo Kakko | 0 | X | 100.00 | 55 | 36 | 95 | 75 | 82 | 86 | 83 | 73 | 59 | 72 | 70 | 66 | 75 | 63 | 64 | 91 | 85 | 68 | 0 | 22 | 1 | 2,100,000$ | ||||
5 | Michael McLeod | 0 | X | 100.00 | 77 | 76 | 81 | 69 | 78 | 81 | 90 | 67 | 89 | 69 | 58 | 81 | 62 | 66 | 68 | 82 | 86 | 68 | 0 | 25 | 1 | 1,400,000$ | ||||
6 | Riley Nash | 0 | X | X | 100.00 | 69 | 39 | 88 | 64 | 78 | 88 | 85 | 65 | 82 | 67 | 66 | 68 | 65 | 74 | 76 | 41 | 85 | 66 | 0 | 34 | 2 | 775,000$ | |||
7 | Alex Chiasson | 0 | X | X | 100.00 | 75 | 40 | 88 | 63 | 88 | 84 | 82 | 64 | 65 | 62 | 68 | 61 | 66 | 78 | 75 | 45 | 85 | 65 | 0 | 32 | 1 | 1,500,000$ | |||
8 | Alex Belzile | 0 | X | X | 100.00 | 66 | 40 | 79 | 65 | 74 | 86 | 79 | 63 | 76 | 62 | 67 | 64 | 66 | 72 | 76 | 27 | 85 | 64 | 0 | 32 | 2 | 775,000$ | |||
9 | Jonny Brodzinski | 0 | X | X | 100.00 | 65 | 40 | 76 | 64 | 77 | 86 | 83 | 63 | 78 | 65 | 66 | 64 | 62 | 70 | 72 | 41 | 85 | 64 | 0 | 30 | 1 | 762,500$ | |||
10 | Justin Bailey | 0 | X | X | 100.00 | 76 | 37 | 84 | 64 | 89 | 80 | 71 | 63 | 59 | 62 | 63 | 69 | 64 | 67 | 69 | 61 | 86 | 64 | 0 | 28 | 2 | 850,000$ | |||
11 | Joel Kiviranta | 0 | X | X | 100.00 | 76 | 34 | 88 | 67 | 69 | 77 | 84 | 62 | 56 | 57 | 60 | 68 | 63 | 67 | 69 | 37 | 85 | 63 | 0 | 27 | 2 | 850,000$ | |||
12 | Tyler Pitlick | 0 | X | X | 100.00 | 77 | 36 | 94 | 59 | 80 | 76 | 78 | 61 | 67 | 62 | 59 | 64 | 60 | 74 | 72 | 48 | 85 | 62 | 0 | 31 | 1 | 767,500$ | |||
13 | Alexander Romanov | 0 | X | 100.00 | 89 | 63 | 80 | 68 | 80 | 90 | 89 | 66 | 30 | 72 | 56 | 80 | 51 | 64 | 63 | 75 | 85 | 71 | 0 | 23 | 2 | 2,500,000$ | ||||
14 | Sean Durzi | 0 | X | 100.00 | 66 | 50 | 74 | 71 | 73 | 90 | 88 | 73 | 30 | 79 | 65 | 75 | 57 | 65 | 66 | 69 | 85 | 70 | 0 | 24 | 1 | 1,700,000$ | ||||
15 | Erik Gustafsson | 0 | X | 100.00 | 67 | 41 | 88 | 72 | 75 | 89 | 86 | 72 | 30 | 80 | 66 | 67 | 56 | 75 | 74 | 38 | 85 | 69 | 0 | 31 | 1 | 825,000$ | ||||
16 | Braden Schneider | 0 | X | 100.00 | 76 | 46 | 93 | 69 | 85 | 86 | 88 | 64 | 30 | 72 | 60 | 67 | 51 | 62 | 63 | 83 | 85 | 68 | 0 | 22 | 1 | 925,000$ | ||||
17 | Jordie Benn | 0 | X | 100.00 | 67 | 39 | 83 | 61 | 80 | 84 | 82 | 59 | 30 | 73 | 56 | 72 | 49 | 79 | 75 | 23 | 85 | 67 | 0 | 36 | 1 | 900,000$ | ||||
18 | Ben Harpur | 0 | X | 100.00 | 86 | 53 | 76 | 62 | 99 | 80 | 75 | 59 | 30 | 65 | 58 | 64 | 49 | 68 | 70 | 50 | 85 | 66 | 0 | 28 | 1 | 787,500$ | ||||
19 | Bobby Trivigno (R) | 0 | X | 100.00 | 61 | 36 | 88 | 58 | 61 | 82 | 72 | 57 | 61 | 59 | 55 | 52 | 56 | 64 | 66 | 43 | 29 | 57 | 0 | 24 | 1 | 925,000$ | ||||
20 | Jacob Doty | 0 | X | X | 100.00 | 74 | 71 | 56 | 52 | 83 | 65 | 68 | 53 | 51 | 54 | 55 | 56 | 52 | 69 | 71 | 36 | 25 | 56 | 0 | 30 | 1 | 700,000$ | |||
21 | Karl Henriksson (R) | 0 | X | X | 100.00 | 56 | 36 | 91 | 55 | 65 | 69 | 72 | 54 | 58 | 56 | 55 | 52 | 53 | 62 | 64 | 63 | 25 | 55 | 0 | 22 | 1 | 870,000$ | |||
22 | Jeremy McKenna | 0 | X | 100.00 | 56 | 37 | 89 | 54 | 65 | 72 | 66 | 53 | 54 | 55 | 52 | 53 | 57 | 63 | 65 | 53 | 25 | 54 | 0 | 24 | 1 | 700,000$ | ||||
23 | Connor Mackey | 0 | X | 100.00 | 75 | 48 | 62 | 63 | 80 | 83 | 76 | 62 | 30 | 65 | 61 | 64 | 50 | 66 | 67 | 37 | 77 | 64 | 0 | 27 | 1 | 775,000$ | ||||
24 | Matthew Robertson (R) | 0 | X | 100.00 | 78 | 41 | 81 | 56 | 87 | 74 | 83 | 55 | 30 | 58 | 53 | 59 | 46 | 62 | 64 | 73 | 24 | 61 | 0 | 22 | 1 | 797,500$ | ||||
25 | Brandon Scanlin (R) | 0 | X | 100.00 | 80 | 40 | 87 | 55 | 89 | 65 | 73 | 52 | 30 | 54 | 53 | 58 | 46 | 64 | 66 | 43 | 25 | 59 | 0 | 24 | 1 | 775,000$ | ||||
26 | Nikolas Brouillard (R) | 0 | X | 100.00 | 55 | 44 | 58 | 60 | 64 | 75 | 86 | 59 | 30 | 64 | 55 | 56 | 50 | 67 | 69 | 37 | 25 | 59 | 0 | 28 | 1 | 775,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 69 | 42 | 83 | 66 | 77 | 83 | 82 | 65 | 55 | 67 | 63 | 67 | 61 | 69 | 69 | 53 | 72 | 65 |
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 | Igor Shesterkin | 0 | 100.00 | 98 | 95 | 90 | 75 | 97 | 96 | 98 | 97 | 96 | 98 | 97 | 70 | 81 | 57 | 81 | 89 | 0 | 27 | 2 | 5,666,667$ | |
2 | Louis Domingue | 0 | 100.00 | 75 | 67 | 68 | 85 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 73 | 85 | 52 | 81 | 74 | 0 | 31 | 1 | 775,000$ | |
Rayé | ||||||||||||||||||||||||
Équipe Mineure | ||||||||||||||||||||||||
1 | Jonathan Quick | 0 | 100.00 | 90 | 94 | 88 | 81 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 92 | 91 | 48 | 86 | 86 | 0 | 37 | 1 | 825,000$ | |
2 | Jaroslav Halak | 0 | 100.00 | 82 | 70 | 72 | 69 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 87 | 91 | 48 | 86 | 78 | 0 | 38 | 1 | 900,000$ | |
3 | Dylan Garand (R) | 0 | 100.00 | 71 | 65 | 66 | 70 | 71 | 69 | 71 | 70 | 69 | 71 | 70 | 61 | 65 | 62 | 42 | 67 | 0 | 21 | 2 | 828,333$ | |
4 | Francois Brassard | 0 | 100.00 | 67 | 65 | 66 | 72 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 70 | 69 | 41 | 42 | 66 | 0 | 29 | 1 | 700,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 81 | 76 | 75 | 75 | 80 | 79 | 81 | 80 | 79 | 81 | 80 | 76 | 80 | 51 | 70 | 77 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 84 | 87 | 90 | 82 | 85 | 79 | 62 | USA | 57 | 3 | 4,900,000$ |
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 |
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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 | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen restant | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | New York Rangers | D | 25 | 1998-02-17 | No | 183 Lbs | 5 ft11 | No | No | N/A | No | No | 6 | False | False | Pro & Farm | 9,500,000$ | 2,035,714$ | 9,500,000$ | 2,035,714$ | No | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | Lien | ||||
Anton Blidh | New York Rangers | LW/RW | 28 | 1995-03-14 | No | 197 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 775,000$ | 166,071$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Artemi Panarin | New York Rangers | LW | 31 | 1991-10-30 | No | 175 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 11,642,857$ | 2,494,898$ | 11,642,857$ | 2,494,898$ | No | 11,642,857$ | 11,642,857$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||||
Barclay Goodrow | New York Rangers | C/LW/RW | 30 | 1993-02-26 | No | 204 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 3,641,667$ | 780,357$ | 3,641,667$ | 780,357$ | No | 3,641,667$ | 3,641,667$ | 3,641,667$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | ||||
Drake Batherson | New York Rangers | C/RW | 25 | 1998-04-27 | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 4,975,000$ | 1,066,071$ | 4,975,000$ | 1,066,071$ | No | 4,975,000$ | 4,975,000$ | 4,975,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | ||||
Filip Chytil | New York Rangers | C | 24 | 1999-09-05 | No | 210 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 4,437,500$ | 950,893$ | 4,437,500$ | 950,893$ | No | 4,437,500$ | 4,437,500$ | 4,437,500$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | ||||
Igor Shesterkin | New York Rangers | G | 27 | 1995-12-30 | No | 189 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,666,667$ | 1,214,286$ | 5,666,667$ | 1,214,286$ | No | 5,666,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||||
Jake Leschyshyn | New York Rangers | C | 24 | 1999-03-10 | No | 192 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 766,667$ | 164,286$ | 700,000$ | 150,000$ | 766,667$ | 164,286$ | No | 766,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Jesper Froden | New York Rangers | RW | 29 | 1994-09-21 | No | 179 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 700,000$ | 150,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
K'Andre Miller | New York Rangers | D | 23 | 2000-01-21 | No | 216 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,872,500$ | 829,821$ | 3,872,500$ | 829,821$ | No | 3,872,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||||
Kyle Palmieri | New York Rangers | LW/RW | 32 | 1991-02-01 | No | 185 Lbs | 5 ft11 | No | No | Trade | 2024-01-13 | No | No | 2 | False | False | Pro & Farm | 5,000,000$ | 1,071,429$ | 5,000,000$ | 1,071,429$ | No | 5,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |||
Linus Hogberg | New York Rangers | D | 25 | 1998-09-04 | No | 176 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 985,000$ | 211,071$ | 700,000$ | 150,000$ | 985,000$ | 211,071$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Louis Domingue | New York Rangers | G | 31 | 1992-03-06 | No | 208 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 775,000$ | 166,071$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Mac Hollowell | New York Rangers | D | 25 | 1998-09-26 | No | 170 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 775,000$ | 166,071$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Mika Zibanejad | New York Rangers | C | 30 | 1993-04-18 | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 7 | False | False | Pro & Farm | 8,500,000$ | 1,821,429$ | 8,500,000$ | 1,821,429$ | No | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | - | - | - | No | No | No | No | No | No | - | - | - | Lien / Lien NHL | ||||
Turner Elson | New York Rangers | C/LW | 31 | 1992-09-13 | No | 191 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 762,500$ | 163,393$ | 700,000$ | 150,000$ | 762,500$ | 163,393$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Ty Emberson | New York Rangers | D | 23 | 2000-05-24 17:38:31 | Yes | 185 Lbs | 7 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 750,000$ | 160,714$ | 775,000$ | 166,071$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Vincent Trocheck | New York Rangers | C | 30 | 1993-07-11 | No | 183 Lbs | 5 ft10 | No | No | N/A | No | No | 6 | False | False | Pro & Farm | 5,625,000$ | 1,205,357$ | 5,625,000$ | 1,205,357$ | No | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | Lien | ||||
Will Cuylle | New York Rangers | LW | 21 | 2002-02-05 16:58:43 | No | 191 Lbs | 8 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 828,333$ | 177,500$ | 700,000$ | 150,000$ | 828,333$ | 177,500$ | No | 828,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Zac Jones | New York Rangers | D | 22 | 2000-10-18 | No | 175 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 812,500$ | 174,107$ | 700,000$ | 150,000$ | 812,500$ | 174,107$ | No | 812,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
20 | 26.80 | 191 Lbs | 6 ft2 | 2.70 | 3,540,810$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
70,816,191$ | 66,043,691$ | 48,322,024$ | 36,679,167$ | 23,625,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Artemi Panarin | Mika Zibanejad | Drake Batherson | 40 | 1 | 2 | 2 |
2 | Barclay Goodrow | Vincent Trocheck | Kyle Palmieri | 30 | 1 | 2 | 2 |
3 | Anton Blidh | Filip Chytil | Jesper Froden | 20 | 1 | 2 | 2 |
4 | Turner Elson | Jake Leschyshyn | Mika Zibanejad | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Adam Fox | K'Andre Miller | 40 | 1 | 2 | 2 | |
2 | Linus Hogberg | Zac Jones | 30 | 1 | 2 | 2 | |
3 | Mac Hollowell | Ty Emberson | 20 | 1 | 2 | 2 | |
4 | Adam Fox | K'Andre Miller | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Artemi Panarin | Mika Zibanejad | Drake Batherson | 60 | 1 | 2 | 2 |
2 | Barclay Goodrow | Vincent Trocheck | Kyle Palmieri | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Adam Fox | K'Andre Miller | 60 | 1 | 2 | 2 | |
2 | Linus Hogberg | Zac Jones | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Mika Zibanejad | Artemi Panarin | 60 | 1 | 2 | 2 |
2 | Vincent Trocheck | Drake Batherson | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Adam Fox | K'Andre Miller | 60 | 1 | 2 | 2 |
2 | Linus Hogberg | Zac Jones | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Mika Zibanejad | 60 | 1 | 2 | 2 | Adam Fox | K'Andre Miller | 60 | 1 | 2 | 2 |
2 | Artemi Panarin | 40 | 1 | 2 | 2 | Linus Hogberg | Zac Jones | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Mika Zibanejad | Artemi Panarin | 60 | 1 | 2 | 2 |
2 | Vincent Trocheck | Drake Batherson | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Adam Fox | K'Andre Miller | 60 | 1 | 2 | 2 |
2 | Linus Hogberg | Zac Jones | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Artemi Panarin | Mika Zibanejad | Drake Batherson | Adam Fox | K'Andre Miller |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Artemi Panarin | Mika Zibanejad | Drake Batherson | Adam Fox | K'Andre Miller |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Will Cuylle, Filip Chytil, Jesper Froden | Will Cuylle, Filip Chytil | Jesper Froden |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Mac Hollowell, Ty Emberson, Linus Hogberg | Mac Hollowell | Ty Emberson, Linus Hogberg |
Tirs de pénalité |
---|
Mika Zibanejad, Artemi Panarin, Vincent Trocheck, Drake Batherson, Barclay Goodrow |
Gardien |
---|
#1 : Igor Shesterkin, #2 : Louis Domingue |
Lignes d’attaque personnalisées en prolongation |
---|
Mika Zibanejad, Artemi Panarin, Vincent Trocheck, Drake Batherson, Barclay Goodrow, Kyle Palmieri, Kyle Palmieri, Filip Chytil, Jesper Froden, Anton Blidh, Jake Leschyshyn |
Lignes de défense personnalisées en prolongation |
---|
Adam Fox, K'Andre Miller, Linus Hogberg, Zac Jones, Mac Hollowell |
Priority | Type | Description |
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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 ) |
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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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 |
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Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 6000 | 5000 | 2000 | 4000 | 1000 |
Prix des billets | 100 | 60 | 35 | 25 | 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$ | 18000 | 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$ | 70,816,191$ | 7,050,000$ | 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$ | 6 | 0$ | 0$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
0$ | 80,938,742$ | 80,938,742$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
0$ | 83,500,000$ | 83,500,000$ | -61,500,000$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 |
---|---|---|---|---|---|---|
Adam Edstrom | New York Rangers | 2019 | 161 | Signé 846,667$ | ||
Adam Sykora | New York Rangers | 2022 | 63 | Signé 838,333$ | ||
Brennan Othmann | New York Rangers | 2021 | 16 | Signé 863,333$ | ||
Brett Berard | New York Rangers | 2020 | 134 | Signé 867,500$ | ||
Bryce McConnell-Barker | New York Rangers | 2022 | 97 | Signé 870K | ||
Drew Commesso | New York Rangers | 2020 | 46 | Signé 925K | ||
Drew Fortescue | New York Rangers | 2023 | 90 | |||
Dylan Roobroeck | New York Rangers | 2023 | 178 | |||
Eric Ciccolini | New York Rangers | 2019 | 205 | |||
Fraser Minten | New York Rangers | 2022 | 38 | Signé 3 ans/ 845,833$ | ||
Gabriel Perreault | New York Rangers | 2023 | 23 | |||
Hank Kempf | New York Rangers | 2021 | 208 | |||
Kalle Vaisanen | New York Rangers | 2021 | 106 | |||
Lauri Pajuniemi | New York Rangers | 2018 | 132 | |||
Matthew Rempe | New York Rangers | 2020 | 165 | Signé 820K | ||
Maxim Barbashev | New York Rangers | 2022 | 161 | |||
Noah Laba | New York Rangers | 2022 | 111 | |||
Oliver Tarnstrom | New York Rangers | 2020 | 92 | |||
Olof Lindbom | New York Rangers | 2018 | 39 | Signé 855K | ||
Riley Hughes | New York Rangers | 2018 | 216 | |||
Ryder Korczak | New York Rangers | 2021 | 75 | Signé 859,167$ | ||
Talyn Boyko | New York Rangers | 2021 | 112 | Signé 850,833$ | ||
Victor Mancini | New York Rangers | 2022 | 159 | |||
Zakary Karpa | New York Rangers | 2022 | 191 |
Année | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2 | |||||||
3 | |||||||
4 | |||||||
5 | |||||||
6 | |||||||
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 |
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# | 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 |
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