Minnesota Wild | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Alex Latulippe | Morale : 99 | Moyenne d’équipe : 71 |
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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 | Kirill Kaprizov | 0 | X | 100.00 | 64 | 34 | 83 | 87 | 71 | 91 | 87 | 88 | 59 | 85 | 91 | 64 | 90 | 67 | 72 | 54 | 57 | 76 | 0 | 26 | 3 | 9,000,000$ | ||||
2 | Joel Eriksson Ek | 0 | X | 100.00 | 76 | 37 | 85 | 77 | 85 | 91 | 89 | 75 | 78 | 76 | 76 | 86 | 73 | 69 | 68 | 78 | 48 | 74 | 0 | 26 | 6 | 5,250,000$ | ||||
3 | Mats Zuccarello | 0 | X | X | 100.00 | 58 | 33 | 90 | 77 | 65 | 90 | 88 | 81 | 70 | 86 | 76 | 62 | 77 | 83 | 79 | 21 | 75 | 72 | 0 | 36 | 1 | 6,000,000$ | |||
4 | Ryan Hartman | 0 | X | X | 100.00 | 64 | 57 | 66 | 76 | 74 | 88 | 87 | 75 | 74 | 76 | 78 | 76 | 75 | 73 | 76 | 63 | 75 | 72 | 0 | 29 | 1 | 1,700,000$ | |||
5 | Matt Boldy | 0 | X | X | 100.00 | 60 | 39 | 88 | 80 | 81 | 88 | 86 | 77 | 75 | 78 | 79 | 62 | 76 | 62 | 66 | 85 | 75 | 71 | 0 | 22 | 7 | 7,000,000$ | |||
6 | Frederick Gaudreau | 0 | X | 100.00 | 58 | 34 | 95 | 72 | 70 | 87 | 90 | 71 | 80 | 69 | 69 | 86 | 75 | 71 | 74 | 35 | 75 | 70 | 0 | 30 | 5 | 2,100,000$ | ||||
7 | Marcus Foligno | 0 | X | X | 100.00 | 90 | 84 | 63 | 72 | 89 | 88 | 86 | 68 | 58 | 69 | 70 | 76 | 65 | 80 | 74 | 38 | 75 | 70 | 0 | 32 | 1 | 3,100,000$ | |||
8 | Marcus Johansson | 0 | X | X | 100.00 | 55 | 36 | 95 | 75 | 78 | 87 | 88 | 71 | 72 | 73 | 68 | 62 | 70 | 83 | 78 | 48 | 75 | 68 | 0 | 32 | 2 | 2,000,000$ | |||
9 | Derick Brassard | 0 | X | X | 100.00 | 73 | 36 | 91 | 69 | 78 | 83 | 85 | 69 | 82 | 70 | 67 | 64 | 73 | 76 | 66 | 45 | 75 | 67 | 0 | 36 | 1 | 1,000,000$ | |||
10 | Jujhar Khaira | 0 | X | X | 100.00 | 88 | 79 | 82 | 63 | 89 | 83 | 74 | 61 | 79 | 58 | 62 | 82 | 59 | 71 | 69 | 55 | 74 | 66 | 0 | 29 | 1 | 775,000$ | |||
11 | Vinni Lettieri | 0 | X | X | 100.00 | 68 | 38 | 85 | 67 | 69 | 91 | 79 | 65 | 77 | 66 | 68 | 61 | 64 | 69 | 70 | 36 | 75 | 65 | 0 | 28 | 2 | 775,000$ | |||
12 | Jared Spurgeon | 0 | X | 100.00 | 61 | 33 | 95 | 75 | 63 | 92 | 87 | 74 | 30 | 79 | 71 | 90 | 58 | 84 | 92 | 26 | 75 | 75 | 0 | 33 | 4 | 7,575,000$ | ||||
13 | Jonas Brodin | 0 | X | 100.00 | 60 | 36 | 89 | 71 | 80 | 94 | 85 | 63 | 30 | 75 | 60 | 91 | 52 | 78 | 71 | 69 | 75 | 73 | 0 | 30 | 5 | 6,000,000$ | ||||
14 | Alexander Edler | 0 | X | 100.00 | 74 | 38 | 79 | 62 | 88 | 87 | 79 | 63 | 30 | 74 | 58 | 80 | 51 | 89 | 78 | 29 | 76 | 70 | 0 | 37 | 1 | 4,000,000$ | ||||
15 | Justin Braun | 0 | X | 100.00 | 72 | 36 | 86 | 61 | 82 | 87 | 85 | 58 | 30 | 70 | 59 | 84 | 50 | 83 | 75 | 25 | 75 | 70 | 0 | 36 | 1 | 3,500,000$ | ||||
16 | Alex Goligoski | 0 | X | 100.00 | 61 | 33 | 67 | 65 | 67 | 89 | 82 | 63 | 30 | 75 | 56 | 74 | 50 | 89 | 79 | 28 | 75 | 68 | 0 | 38 | 1 | 2,000,000$ | ||||
17 | Jacob Middleton | 0 | X | 100.00 | 72 | 49 | 73 | 63 | 87 | 85 | 74 | 60 | 30 | 70 | 57 | 80 | 49 | 67 | 69 | 42 | 75 | 68 | 0 | 27 | 2 | 2,450,000$ | ||||
18 | Jon Merrill | 0 | X | 100.00 | 59 | 37 | 87 | 62 | 84 | 89 | 87 | 58 | 30 | 72 | 57 | 77 | 79 | 75 | 71 | 59 | 72 | 68 | 0 | 31 | 2 | 1,200,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Brandon Duhaime | 0 | X | X | 100.00 | 89 | 77 | 67 | 66 | 80 | 76 | 85 | 64 | 56 | 57 | 62 | 66 | 61 | 66 | 68 | 58 | 19 | 63 | 0 | 26 | 1 | 1,100,000$ | |||
2 | Marco Rossi (R) | 0 | X | 100.00 | 57 | 38 | 75 | 70 | 68 | 88 | 85 | 68 | 75 | 66 | 59 | 60 | 66 | 63 | 64 | 86 | 38 | 63 | 0 | 22 | 2 | 863,333$ | ||||
3 | Dakota Mermis | 0 | X | 100.00 | 65 | 40 | 67 | 62 | 73 | 82 | 83 | 59 | 30 | 59 | 58 | 62 | 49 | 69 | 71 | 36 | 20 | 62 | 0 | 29 | 1 | 775,000$ | ||||
Équipe Mineure | ||||||||||||||||||||||||||||||
1 | Frederik Gauthier | 0 | X | 100.00 | 83 | 78 | 84 | 63 | 97 | 76 | 78 | 60 | 85 | 64 | 61 | 71 | 58 | 67 | 69 | 70 | 79 | 65 | 0 | 28 | 1 | 850,000$ | ||||
2 | Connor Dewar | 0 | X | 100.00 | 73 | 42 | 78 | 66 | 67 | 77 | 85 | 63 | 73 | 62 | 58 | 80 | 59 | 64 | 65 | 61 | 79 | 64 | 0 | 24 | 1 | 800,000$ | ||||
3 | Nic Petan | 0 | X | X | X | 100.00 | 55 | 38 | 79 | 69 | 64 | 88 | 82 | 68 | 72 | 67 | 66 | 61 | 65 | 68 | 70 | 62 | 78 | 64 | 0 | 28 | 1 | 762,500$ | ||
4 | Jacob Lucchini | 0 | X | X | 100.00 | 66 | 36 | 95 | 64 | 70 | 89 | 87 | 63 | 73 | 65 | 61 | 62 | 63 | 68 | 69 | 36 | 79 | 63 | 0 | 28 | 1 | 775,000$ | |||
5 | Adam Beckman | 0 | X | X | 100.00 | 65 | 37 | 89 | 63 | 77 | 88 | 85 | 62 | 58 | 59 | 64 | 61 | 63 | 62 | 64 | 66 | 79 | 62 | 0 | 22 | 1 | 894,167$ | |||
6 | Samuel Walker (R) | 0 | X | X | 100.00 | 57 | 36 | 89 | 68 | 68 | 81 | 71 | 66 | 69 | 61 | 67 | 59 | 65 | 64 | 66 | 48 | 79 | 62 | 0 | 24 | 1 | 855,000$ | |||
7 | Patriclk Maroon | 0 | X | 100.00 | 84 | 74 | 57 | 59 | 90 | 85 | 74 | 61 | 63 | 60 | 58 | 55 | 60 | 82 | 75 | 25 | 79 | 62 | 0 | 35 | 1 | 800,000$ | ||||
8 | Steven Fogarty | 0 | X | X | X | 100.00 | 71 | 42 | 75 | 63 | 84 | 82 | 84 | 59 | 69 | 61 | 58 | 60 | 64 | 70 | 72 | 52 | 79 | 62 | 0 | 30 | 1 | 762,500$ | ||
9 | Nick Swaney | 0 | X | 100.00 | 76 | 35 | 91 | 62 | 66 | 90 | 80 | 60 | 62 | 59 | 61 | 58 | 62 | 66 | 68 | 47 | 79 | 61 | 0 | 26 | 1 | 775,000$ | ||||
10 | Jeremy Gregoire | 0 | X | 100.00 | 64 | 71 | 60 | 56 | 73 | 80 | 76 | 54 | 57 | 55 | 56 | 54 | 55 | 67 | 69 | 46 | 79 | 57 | 0 | 28 | 1 | 700,000$ | ||||
11 | Jarid Lukosevicius | 0 | X | 100.00 | 58 | 37 | 80 | 55 | 69 | 81 | 77 | 54 | 55 | 53 | 56 | 52 | 53 | 67 | 69 | 37 | 79 | 56 | 0 | 28 | 1 | 700,000$ | ||||
12 | Maxim Cajkovic | 0 | X | 100.00 | 60 | 36 | 94 | 55 | 69 | 75 | 65 | 54 | 58 | 55 | 56 | 53 | 55 | 61 | 63 | 64 | 79 | 56 | 0 | 22 | 1 | 850,833$ | ||||
13 | Gabriel Carlsson | 0 | X | 100.00 | 74 | 38 | 94 | 63 | 88 | 79 | 74 | 62 | 30 | 71 | 60 | 67 | 52 | 65 | 67 | 76 | 79 | 66 | 0 | 26 | 1 | 700,000$ | ||||
14 | Brock Faber | 0 | X | 100.00 | 55 | 35 | 83 | 62 | 77 | 85 | 60 | 62 | 30 | 50 | 50 | 78 | 47 | 60 | 61 | 74 | 66 | 63 | 0 | 21 | 2 | 925,000$ | ||||
15 | Calen Addison | 0 | X | 100.00 | 55 | 33 | 75 | 71 | 67 | 86 | 82 | 67 | 30 | 72 | 59 | 55 | 53 | 53 | 62 | 70 | 79 | 62 | 0 | 23 | 1 | 825,000$ | ||||
16 | Dmitry Semykin | 0 | X | 100.00 | 78 | 38 | 91 | 52 | 87 | 63 | 62 | 54 | 30 | 52 | 51 | 56 | 45 | 62 | 64 | 66 | 78 | 58 | 0 | 23 | 1 | 700,000$ | ||||
17 | Simon Johansson (R) | 0 | X | 100.00 | 65 | 38 | 87 | 54 | 74 | 66 | 71 | 53 | 30 | 56 | 52 | 54 | 45 | 64 | 66 | 53 | 79 | 57 | 0 | 24 | 1 | 855,000$ | ||||
18 | Daemon Hunt (R) | 0 | X | 100.00 | 65 | 37 | 94 | 54 | 74 | 65 | 70 | 53 | 30 | 54 | 53 | 56 | 45 | 61 | 63 | 67 | 79 | 57 | 0 | 21 | 2 | 828,333$ | ||||
19 | Michael Milne (R) | 0 | X | 100.00 | 60 | 36 | 94 | 54 | 69 | 75 | 70 | 53 | 54 | 55 | 55 | 52 | 54 | 61 | 63 | 64 | 20 | 55 | 0 | 20 | 2 | 861,667$ | ||||
20 | Sam Hentges (R) | 0 | X | X | 100.00 | 60 | 37 | 90 | 53 | 69 | 71 | 62 | 52 | 54 | 55 | 53 | 51 | 52 | 64 | 66 | 48 | 20 | 54 | 0 | 24 | 1 | 855,000$ | |||
21 | Ryan O'Rourke (R) | 0 | X | 100.00 | 61 | 37 | 92 | 53 | 70 | 64 | 72 | 52 | 30 | 54 | 50 | 51 | 45 | 61 | 63 | 75 | 19 | 55 | 0 | 21 | 2 | 855,833$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 67 | 43 | 83 | 65 | 76 | 83 | 79 | 63 | 54 | 65 | 62 | 66 | 60 | 70 | 70 | 53 | 68 | 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 | Marc-Andre Fleury | 0 | 100.00 | 93 | 95 | 89 | 77 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 99 | 93 | 46 | 77 | 88 | 0 | 38 | 1 | 3,500,000$ | |
2 | Filip Gustavsson | 0 | 100.00 | 90 | 95 | 91 | 77 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 65 | 73 | 68 | 72 | 84 | 0 | 25 | 3 | 3,750,000$ | |
Rayé | ||||||||||||||||||||||||
Équipe Mineure | ||||||||||||||||||||||||
1 | Zane McIntyre | 0 | 100.00 | 73 | 66 | 67 | 82 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 73 | 85 | 38 | 74 | 72 | 0 | 31 | 1 | 750,000$ | |
2 | Jesper Wallstedt (R) | 0 | 100.00 | 72 | 67 | 68 | 86 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 61 | 65 | 82 | 73 | 70 | 0 | 20 | 2 | 925,000$ | |
3 | Hunter Jones | 0 | 100.00 | 67 | 69 | 70 | 85 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 62 | 67 | 69 | 32 | 67 | 0 | 23 | 1 | 787,500$ | |
MOYENNE D’ÉQUIPE | 100.00 | 79 | 78 | 77 | 81 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 72 | 77 | 61 | 66 | 76 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 80 | 87 | 92 | 78 | 86 | 80 | 61 | CAN | 58 | 2 | 1,500,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Goligoski | Minnesota Wild | D | 38 | 1985-07-30 | No | 173 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,000,000$ | 428,571$ | 2,000,000$ | 428,571$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||||
Alexander Edler | Minnesota Wild | D | 37 | 1986-04-21 | No | 210 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,000,000$ | 857,143$ | 700,000$ | 150,000$ | 4,000,000$ | 857,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Brandon Duhaime | Minnesota Wild | LW/RW | 26 | 1997-05-22 | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,100,000$ | 235,714$ | 1,100,000$ | 235,714$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||||
Dakota Mermis | Minnesota Wild | D | 29 | 1994-01-05 | No | 195 Lbs | 6 ft0 | 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 | ||
Derick Brassard | Minnesota Wild | C/LW | 36 | 1987-09-22 | No | 202 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 214,286$ | 700,000$ | 150,000$ | 1,000,000$ | 214,286$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Filip Gustavsson | Minnesota Wild | G | 25 | 1998-06-07 | No | 184 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,750,000$ | 803,571$ | 700,000$ | 150,000$ | 3,750,000$ | 803,571$ | No | 3,750,000$ | 3,750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Frederick Gaudreau | Minnesota Wild | C | 30 | 1993-05-01 | No | 184 Lbs | 6 ft0 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 2,100,000$ | 450,000$ | 2,100,000$ | 450,000$ | No | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien / Lien NHL | ||||
Jacob Middleton | Minnesota Wild | D | 27 | 1996-01-02 | No | 219 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,450,000$ | 525,000$ | 700,000$ | 150,000$ | 2,450,000$ | 525,000$ | No | 2,450,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Jared Spurgeon | Minnesota Wild | D | 33 | 1989-11-29 | No | 166 Lbs | 5 ft9 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 7,575,000$ | 1,623,214$ | 7,575,000$ | 1,623,214$ | No | 7,575,000$ | 7,575,000$ | 7,575,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | ||||
Joel Eriksson Ek | Minnesota Wild | C | 26 | 1997-01-29 | No | 207 Lbs | 6 ft3 | No | No | N/A | No | No | 6 | False | False | Pro & Farm | 5,250,000$ | 1,125,000$ | 5,250,000$ | 1,125,000$ | No | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | Lien / Lien NHL | ||||
Jon Merrill | Minnesota Wild | D | 31 | 1992-02-03 | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,200,000$ | 257,143$ | 1,200,000$ | 257,143$ | No | 1,200,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||||
Jonas Brodin | Minnesota Wild | D | 30 | 1993-07-12 | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 6,000,000$ | 1,285,714$ | 6,000,000$ | 1,285,714$ | No | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien | ||||
Jujhar Khaira | Minnesota Wild | C/LW | 29 | 1994-08-13 | No | 212 Lbs | 6 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 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Justin Braun | Minnesota Wild | D | 36 | 1987-02-10 | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,500,000$ | 750,000$ | 700,000$ | 150,000$ | 3,500,000$ | 750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Kirill Kaprizov | Minnesota Wild | LW | 26 | 1997-04-26 | No | 202 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 9,000,000$ | 1,928,571$ | 9,000,000$ | 1,928,571$ | No | 9,000,000$ | 9,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||||
Marc-Andre Fleury | Minnesota Wild | G | 38 | 1984-11-28 | No | 185 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,500,000$ | 750,000$ | 700,000$ | 150,000$ | 3,500,000$ | 750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Marco Rossi | Minnesota Wild | C | 22 | 2001-09-23 | Yes | 182 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 863,333$ | 185,000$ | 700,000$ | 150,000$ | 863,333$ | 185,000$ | No | 863,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Marcus Foligno | Minnesota Wild | LW/RW | 32 | 1991-08-10 | No | 226 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,100,000$ | 664,286$ | 3,100,000$ | 664,286$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||||
Marcus Johansson | Minnesota Wild | C/LW | 32 | 1990-10-06 | No | 203 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,000,000$ | 428,571$ | 2,000,000$ | 428,571$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||||
Mats Zuccarello | Minnesota Wild | LW/RW | 36 | 1987-09-01 | No | 181 Lbs | 5 ft8 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 6,000,000$ | 1,285,714$ | 6,000,000$ | 1,285,714$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||||
Matt Boldy | Minnesota Wild | LW/RW | 22 | 2001-04-05 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 7 | False | False | Pro & Farm | 7,000,000$ | 1,500,000$ | 7,000,000$ | 1,500,000$ | No | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | - | - | - | No | No | No | No | No | No | - | - | - | Lien / Lien NHL | ||||
Ryan Hartman | Minnesota Wild | C/RW | 29 | 1994-09-20 | No | 197 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,700,000$ | 364,286$ | 1,700,000$ | 364,286$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||||
Vinni Lettieri | Minnesota Wild | C/RW | 28 | 1995-02-06 | No | 185 Lbs | 5 ft11 | 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 |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
23 | 30.35 | 196 Lbs | 6 ft1 | 2.35 | 3,278,841$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
75,413,333$ | 47,963,333$ | 40,675,000$ | 27,925,000$ | 20,350,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Joel Eriksson Ek | Kirill Kaprizov | Matt Boldy | 40 | 1 | 2 | 2 |
2 | Marcus Johansson | Ryan Hartman | Mats Zuccarello | 30 | 1 | 2 | 2 |
3 | Marcus Foligno | Frederick Gaudreau | Vinni Lettieri | 20 | 1 | 2 | 2 |
4 | Derick Brassard | Jujhar Khaira | Kirill Kaprizov | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jared Spurgeon | Jonas Brodin | 40 | 1 | 2 | 2 | |
2 | Alexander Edler | Justin Braun | 30 | 1 | 2 | 2 | |
3 | Jacob Middleton | Alex Goligoski | 20 | 1 | 2 | 2 | |
4 | Jared Spurgeon | Jonas Brodin | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Marcus Foligno | Kirill Kaprizov | Matt Boldy | 60 | 1 | 2 | 2 |
2 | Mats Zuccarello | Ryan Hartman | Marcus Johansson | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jared Spurgeon | Jonas Brodin | 60 | 1 | 2 | 2 | |
2 | Alexander Edler | Justin Braun | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Marcus Foligno | Matt Boldy | 60 | 1 | 2 | 2 |
2 | Ryan Hartman | Mats Zuccarello | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jared Spurgeon | Jonas Brodin | 60 | 1 | 2 | 2 |
2 | Alexander Edler | Justin Braun | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Matt Boldy | 60 | 1 | 2 | 2 | Jared Spurgeon | Jonas Brodin | 60 | 1 | 2 | 2 |
2 | Ryan Hartman | 40 | 1 | 2 | 2 | Alexander Edler | Justin Braun | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Marcus Foligno | Matt Boldy | 60 | 1 | 2 | 2 |
2 | Ryan Hartman | Mats Zuccarello | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jared Spurgeon | Jonas Brodin | 60 | 1 | 2 | 2 |
2 | Alexander Edler | Justin Braun | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Joel Eriksson Ek | Kirill Kaprizov | Matt Boldy | Jared Spurgeon | Jonas Brodin |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Joel Eriksson Ek | Kirill Kaprizov | Matt Boldy | Jared Spurgeon | Jonas Brodin |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Ryan Hartman, Marcus Foligno, Frederick Gaudreau | Ryan Hartman, Marcus Foligno | Ryan Hartman |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Justin Braun, Jacob Middleton, Alex Goligoski | Justin Braun | Justin Braun, Jacob Middleton |
Tirs de pénalité |
---|
Marcus Foligno, Kirill Kaprizov, Mats Zuccarello, Matt Boldy, Ryan Hartman |
Gardien |
---|
#1 : Filip Gustavsson, #2 : Marc-Andre Fleury |
Lignes d’attaque personnalisées en prolongation |
---|
Joel Eriksson Ek, Kirill Kaprizov, Mats Zuccarello, Matt Boldy, Ryan Hartman, Marcus Foligno, Marcus Foligno, Frederick Gaudreau, Marcus Johansson, Derick Brassard, Vinni Lettieri |
Lignes de défense personnalisées en prolongation |
---|
Jared Spurgeon, Jonas Brodin, Alexander Edler, Justin Braun, Jacob Middleton |
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 |
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 |
---|
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$ | 75,413,333$ | 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$ | 23 | 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$ | 85,849,959$ | 85,849,959$ |
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 |
---|---|---|
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 |
---|---|---|---|---|---|---|
Aaron Pionk | Minnesota Wild | 2023 | 149 | |||
Caedan Bankier | Minnesota Wild | 2021 | 86 | Signé 867,500$ | ||
Carson Lambos | Minnesota Wild | 2021 | 26 | Signé 863,333$ | ||
Charlie Stramel | Minnesota Wild | 2023 | 21 | |||
Danila Yurov | Minnesota Wild | 2022 | 24 | |||
David Spacek | Minnesota Wild | 2022 | 153 | Signé 862,500$ | ||
Hunter Haight | Minnesota Wild | 2022 | 47 | Signé 897,500$ | ||
Jack Peart | Minnesota Wild | 2021 | 54 | |||
Jimmiy Clark | Minnesota Wild | 2023 | 213 | |||
Kalem Parker | Minnesota Wild | 2023 | 181 | |||
Kyle Masters | Minnesota Wild | 2021 | 118 | Signé 865K | ||
Liam Ohgren | Minnesota Wild | 2022 | 19 | |||
Marat Khusnutdinov | Minnesota Wild | 2020 | 37 | |||
Matvei Guskov | Minnesota Wild | 2019 | 149 | |||
Nate Benoit | Minnesota Wild | 2021 | 182 | |||
Pavel Novak | Minnesota Wild | 2020 | 146 | |||
Rasmus Kumpulainen | Minnesota Wild | 2023 | 53 | |||
Rieger Lorenz | Minnesota Wild | 2022 | 56 | |||
Riley Heidt | Minnesota Wild | 2023 | 64 | |||
Ryan Healey | Minnesota Wild | 2022 | 121 | |||
Servac Petrovsky | Minnesota Wild | 2022 | 185 | |||
Vladislav Firstov | Minnesota Wild | 2019 | 42 | Signé 925K |
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 |
---|