Connexion

Minnesota Wild
GP: 52 | W: 23 | L: 25 | OTL: 4 | P: 50
GF: 146 | GA: 162 | PP%: 11.11% | PK%: 83.90%
DG: Jerome-William Bisson | Morale : 99 | Moyenne d’équipe : 73
#733 vs Washington Capitals
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Centre de jeu
Washington Capitals
28-14-9, 65pts
9
FINAL
2 Minnesota Wild
23-25-4, 50pts
Team Stats
W5SéquenceW1
13-8-4Fiche domicile15-9-2
15-6-5Fiche visiteur8-16-2
6-4-0Derniers 10 matchs4-5-1
3.37Buts par match 2.81
3.12Buts contre par match 3.12
17.60%Pourcentage en avantage numérique11.11%
84.11%Pourcentage en désavantage numérique83.90%
Pittsburgh Penguins
25-19-8, 58pts
2
FINAL
3 Minnesota Wild
23-25-4, 50pts
Team Stats
W1SéquenceW1
13-8-5Fiche domicile15-9-2
12-11-3Fiche visiteur8-16-2
6-3-1Derniers 10 matchs4-5-1
2.98Buts par match 2.81
2.81Buts contre par match 3.12
12.50%Pourcentage en avantage numérique11.11%
84.00%Pourcentage en désavantage numérique83.90%
Minnesota Wild
23-25-4, 50pts
Jour 126
Washington Capitals
28-14-9, 65pts
Statistiques d’équipe
W1SéquenceW5
15-9-2Fiche domicile13-8-4
8-16-2Fiche visiteur15-6-5
4-5-110 derniers matchs6-4-0
2.81Buts par match 3.37
3.12Buts contre par match 3.37
11.11%Pourcentage en avantage numérique17.60%
83.90%Pourcentage en désavantage numérique84.11%
Chicago Blackhawks
29-22-2, 60pts
Jour 129
Minnesota Wild
23-25-4, 50pts
Statistiques d’équipe
W4SéquenceW1
17-10-0Fiche domicile15-9-2
12-12-2Fiche visiteur8-16-2
6-4-010 derniers matchs4-5-1
3.11Buts par match 2.81
2.94Buts contre par match 2.81
13.43%Pourcentage en avantage numérique11.11%
86.96%Pourcentage en désavantage numérique83.90%
Winnipeg Jets
26-22-3, 55pts
Jour 131
Minnesota Wild
23-25-4, 50pts
Statistiques d’équipe
W3SéquenceW1
15-10-2Fiche domicile15-9-2
11-12-1Fiche visiteur8-16-2
5-5-010 derniers matchs4-5-1
3.00Buts par match 2.81
3.18Buts contre par match 2.81
13.19%Pourcentage en avantage numérique11.11%
88.33%Pourcentage en désavantage numérique83.90%
Meneurs d'équipe
Buts
Dustin Brown
23
Passes
Dustin Brown
28
Points
Dustin Brown
51
Plus/Moins
Alex Debrincat
8
Victoires
Connor Hellebuyck
18
Pourcentage d’arrêts
Samuel Ersson
0.924

Statistiques d’équipe
Buts pour
146
2.81 GFG
Tirs pour
1950
37.50 Avg
Pourcentage en avantage numérique
11.1%
13 GF
Début de zone offensive
39.5%
Buts contre
162
3.12 GAA
Tirs contre
2016
38.77 Avg
Pourcentage en désavantage numérique
83.9%%
19 GA
Début de la zone défensive
40.2%
Informations de l'équipe

Directeur généralJerome-William Bisson
EntraîneurPatrick Roy
DivisionWestern
ConférenceCircuit Jodoin
CapitaineDustin Brown
Assistant #1Simon Hjalmarsson
Assistant #2Brendan Smith


Informations de l’aréna

NomXcel Energy Center
Capacité20,000
Assistance18,009
Billets de saison8,000


Informations de la formation

Équipe Pro23
Équipe Mineure24
Limite contact 47 / 75
Espoirs0


Plafond salarial Non Activé

Cap Salarial de la Saison estimé73,499,999$
Plafond salarial disponible11,500,001$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour31,589,947$
Dépenses annuelles à ce jour48,183,657$
Revenus de la saison estimés18,224,969$
Dépenses de la saison estimées25,486,825$
Compte bancaire actuel42,466,935$
Compte bancaire projeté38,228,634$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Dustin Brown (C)XX100.0099965582768887988599948377999922998203826,500,000$
2Simon Hjalmarsson (A)XX100.0047109386708483885680867173999517997503545,000,000$
3Joonas DonskoiXX100.0081477386748383915487866468808026997503124,000,000$
4Matthew TkachukX100.0073367983808382905484788071547071997402524,000,000$
5Alex DebrincatXX100.0083417388718382888778827575535965997402524,000,000$
6Juraj SimekXX100.0082607287748181857684826773787744997403634,000,000$
7Thomas SpellingX100.0082407184758283875275856675768129997302922,800,000$
8Lucas WallmarkXX100.0079387686738182858680716468657845997202832,000,000$
9Zack PhillipsXX100.0047799867382826987706984718192489972N03136,000,000$
10John McFarland XX100.00946366857680826187586475658686429969N03131,650,000$
11Nicolas BlanchardXX100.0099966788738179748873685664768033996903611,499,999$
12Brendan Smith (A)XX100.003739884758383866079916674949718997503543,000,000$
13Josh MorrisseyX100.0073357587778383705973708267688153997402833,500,000$
14Samuel GirardX100.0063199183728482915788766963525564997302522,100,000$
15Luka SbisaX100.003019987758282775880838273828534997303454,500,000$
16Jarred TinordiX100.00652589888087825860526889726983449973N03184,000,000$
17Brian LeeX100.0036159887767874885587807761797939997303612,250,000$
18Duncan Siemens X100.0065288887798686615963548058788346997203012,250,000$
19Lucas JohansenX100.0071287982778383665169648163536466997102532,150,000$
20Vincent Dunn (R)X100.008550707975818270547268716453555599700271900,000$
Rayé
Équipe Mineure
1J.T.Miller XXX100.006731788477848366886565696580865499690301510,000$
2Mario KempeX100.0059248387748282695363735768989599968N0353525,000$
3Mike HoffmanXX100.00451099877282826686597069659399999680342500,001$
4Jack Dugan (R)X100.008249608776737581527174646845545399680251900,000$
5Yevgeni Oksentyuk (R)XX100.007230758066697283517375707346527299670221925,000$
6Filip Hallander (R)XXX100.005726848777747772846270716855646499670231700,000$
7Patrick BartschiX100.0070396776726059765469756274999819966N0391525,000$
8Bo HorvatXX100.006834827677818159885560726570886899650292700,000$
9Mason Shaw (R)X100.006732747670737577847267656557545999650242800,000$
10Benoit-Olivier Groulx (R)X100.006837717076687164776164666861666999630232600,000$
11Olle Lycksell (R)XXX100.00623272697164646873666862686755529962N0243525,000$
12Serron Noel (R)X100.007340726580646764465863686554517099610231500,000$
13Calen Addison (R)X100.007338747272818179527365626462716999680232915,000$
14William Wallinder (R)X100.007340748278747478507070697045457699680201650,000$
15Chris Martenet (R)X100.008249727384828350544954746052715699670262800,000$
16Alexander EdlerX100.001119889827979606356687969999923996703713,750,000$
17Matthew SpencerX100.008246646577676963526161736076786499660262975,000$
18Ryan Johnson (R)X100.007635777775828258545553725838535499660222640,000$
19Cameron AbneyX100.008255677681656552565561686373722599650322500,001$
20Connor Hall (R)X100.006637817379777947544548745545475499630252675,000$
21Cole Guttman (R)X100.00633172696764646873666962695558539962N0243525,000$
MOYENNE D’ÉQUIPE100.00703781857583827966777674697479439973
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Connor Hellebuyck 100.008686818093999999998585556447997302945,000,000$
2Zachary Nagelvoort100.008185818690959595957475575955997002921,100,000$
3Samuel Ersson (R)100.008187838090959595958081585461997002331,300,000$
Rayé
Équipe Mineure
1Semyon Varlamov100.008486838593929182807370827942997003511,499,999$
2Brian Foster100.00828583779180807979727083972999680352500,001$
3Filip Lindberg (R)100.00818081808380808080777860605499640241750,000$
MOYENNE D’ÉQUIPE100.0083868282919696969680805759549971
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy84959989999942CAN5851,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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
1Dustin BrownMinnesota WildLW/RW5223285137420114982256710410.22%25104620.12369211130110713053.82%11522026110.9826031340
2Joonas DonskoiMinnesota WildLW/RW5214264061807936211681056.64%1496318.5361724115000003031.88%69389010.8300000141
3Matthew TkachukMinnesota WildLW481323365805856122487210.66%2390818.93044191091013510040.00%653016000.7901000104
4Alex DebrincatMinnesota WildC/RW46141630814068451224910411.48%2173816.051015571011481346.72%1372612000.8100000414
5Juraj SimekMinnesota WildLW/RW52111930-164009255178541066.18%2087016.750006610002541050.00%7723811110.6900000101
6Lucas WallmarkMinnesota WildC/RW501018282240764413630727.35%2577715.55000330000062049.35%9262015000.7212000042
7Simon HjalmarssonMinnesota WildLW/RW41131427-10004437173511127.51%3274018.07000011122513241.35%1043319000.7302000013
8Brendan SmithMinnesota WildLW/D51141226-300305616440868.54%39101920.000229870000202042.42%662619000.5114000113
9Brian LeeMinnesota WildD5241721-1006526929265.80%70106020.4022481260001104010%02831000.4000000011
10Jarred TinordiMinnesota WildD521141502035595319211.89%7898118.88011334000112200100.00%1449000.3100000000
11Thomas SpellingMinnesota WildRW468715-11160473712643736.35%2160013.06101760000002036.36%22258000.5000000130
12Josh MorrisseyMinnesota WildD394711-210021302115919.05%183629.29022139000013000%0113000.6100000001
13Zack PhillipsMinnesota WildC/RW525510-140019415213469.62%1465912.68000000111140157.45%47423000.3000000001
14Luka SbisaMinnesota WildD52178-4202585628341.79%6296718.61000279000174000%02636000.1700000000
15Duncan Siemens Minnesota WildD51178-30019384316152.33%4870513.83000130000011000%0120000.2300000020
16Lucas JohansenMinnesota WildD52077-48033464019180%6881015.60011257000047000%0442000.1700000001
17Samuel GirardMinnesota WildD47167-24017244219162.38%3372915.51022221000023000%01720000.1911000000
18Nicolas BlanchardMinnesota WildC/LW52437-810051246921595.80%755510.67000000000101037.88%66179000.2500000001
19John McFarland Minnesota WildC/LW48134-710041403315193.03%1556611.79000050111641056.52%32238000.1400000000
20J.T.Miller Iowa Wild (MIN)C/LW/RW2011000320010%03216.0200000000020042.50%4001000.6200000000
21Vincent DunnMinnesota WildD52011-380211315530%254107.880000000000000%0216000.0500000000
Statistiques d’équipe totales ou en moyenne989142241383-6424820876891195064911017.28%6581550615.6813213411310323471379419750.30%3789363403230.49516031122123
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Connor Hellebuyck Minnesota Wild42181940.9222.962477801221570609120.85714413842
2Samuel ErssonMinnesota Wild94400.9242.954890024317131011.0003844102
3Zachary NagelvoortMinnesota Wild31200.9133.75176001112652000035001
Statistiques d’équipe totales ou en moyenne54232540.9223.00314480157201379213175252945


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS 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 Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alex DebrincatMinnesota WildC/RW251989-09-26 15:20:48No186 Lbs6 ft0NoNoN/ANoNo2Pro Only4,000,000$1,368,421$4,000,000$1,368,421$No4,000,000$--------No--------
Brendan SmithMinnesota WildLW/D351979-08-06 08:38:02No198 Lbs6 ft2NoNoN/ANoNo4Pro Only3,000,000$1,026,316$3,000,000$1,026,316$No3,000,000$3,000,000$3,000,000$------NoNoNo------
Brian LeeMinnesota WildD361978-08-07 02:38:02No206 Lbs6 ft3NoNoN/ANoNo1Pro Only2,250,000$769,737$2,250,000$769,737$No------------------
Connor Hellebuyck Minnesota WildG291986-05-19 09:34:25No203 Lbs6 ft4NoNoN/ANoNo4Pro Only5,000,000$1,710,526$5,000,000$1,710,526$No5,000,000$5,000,000$5,000,000$------NoNoNo------
Duncan Siemens Minnesota WildD301984-09-07 14:08:59No213 Lbs6 ft3NoNoN/ANoNo1Pro Only2,250,000$769,737$2,250,000$769,737$No------------------
Dustin BrownMinnesota WildLW/RW381976-08-06 14:38:02No211 Lbs6 ft0NoNoN/ANoNo2Pro Only6,500,000$2,223,684$6,500,000$2,223,684$No6,500,000$--------No--------
Jarred TinordiMinnesota WildD311983-08-06 08:38:02No222 Lbs6 ft3YesNoN/ANoNo8Pro Only4,000,000$1,368,421$4,000,000$1,368,421$No4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$--YesYesYesYesYesYesYes--
John McFarland Minnesota WildC/LW311983-10-14 10:04:55No209 Lbs6 ft0YesNoN/ANoNo3Pro Only1,650,000$564,474$1,650,000$564,474$No1,650,000$1,650,000$-------YesYes-------
Joonas DonskoiMinnesota WildLW/RW311983-08-06 08:38:02No201 Lbs6 ft0NoNoN/ANoNo2Pro Only4,000,000$1,368,421$4,000,000$1,368,421$No4,000,000$--------No--------
Josh MorrisseyMinnesota WildD281986-10-14 12:36:47No206 Lbs6 ft1NoNoN/ANoNo3Pro Only3,500,000$1,197,368$3,500,000$1,197,368$No3,500,000$3,500,000$-------NoNo-------
Juraj SimekMinnesota WildLW/RW361978-08-07 02:38:02No198 Lbs6 ft1NoNoN/ANoNo3Pro Only4,000,000$1,368,421$4,000,000$1,368,421$No4,000,000$4,000,000$-------NoNo-------
Lucas JohansenMinnesota WildD251989-09-26 13:32:33No197 Lbs6 ft4NoNoN/ANoNo3Pro Only2,150,000$735,526$2,150,000$735,526$No2,150,000$2,150,000$-------NoNo-------
Lucas WallmarkMinnesota WildC/RW281986-10-05 14:54:30No185 Lbs6 ft0NoNoN/ANoNo3Pro Only2,000,000$684,211$2,000,000$684,211$No2,000,000$2,000,000$-------NoNo-------
Luka SbisaMinnesota WildD341980-08-06 14:38:02No200 Lbs6 ft1NoNoN/ANoNo5Pro Only4,500,000$1,539,474$4,500,000$1,539,474$No4,500,000$4,500,000$4,500,000$4,500,000$-----NoNoNoNo-----
Matthew TkachukMinnesota WildLW251989-09-26 15:17:46No218 Lbs6 ft6NoNoN/ANoNo2Pro Only4,000,000$1,368,421$4,000,000$1,368,421$No4,000,000$--------No--------
Nicolas BlanchardMinnesota WildC/LW361978-08-07 02:38:02No186 Lbs6 ft3NoNoN/ANoNo1Pro Only1,499,999$513,158$1,499,999$513,158$No------------------
Samuel ErssonMinnesota WildG231991-09-07 20:37:39Yes199 Lbs6 ft4NoNoN/ANoNo3Pro Only1,300,000$444,737$1,300,000$444,737$No1,300,000$1,300,000$-------NoNo-------
Samuel GirardMinnesota WildD251989-09-26 15:22:57No188 Lbs6 ft1NoNoN/ANoNo2Pro Only2,100,000$718,421$2,100,000$718,421$No2,100,000$--------No--------
Simon HjalmarssonMinnesota WildLW/RW351979-08-06 08:38:02No174 Lbs5 ft11NoNoN/ANoNo4Pro Only5,000,000$1,710,526$5,000,000$1,710,526$No5,000,000$5,000,000$5,000,000$------NoNoNo------
Thomas SpellingMinnesota WildRW291986-02-09 15:06:50No197 Lbs6 ft1NoNoN/ANoNo2Pro Only2,800,000$957,895$2,800,000$957,895$No2,800,000$--------No--------
Vincent DunnMinnesota WildD271987-10-20 09:57:46Yes198 Lbs6 ft1NoNoN/ANoNo1Pro Only900,000$307,895$900,000$307,895$No------------------
Zachary NagelvoortMinnesota WildG291985-10-05 16:00:10No221 Lbs6 ft3NoNoN/ANoNo2Pro Only1,100,000$376,316$1,100,000$376,316$No1,100,000$--------No--------
Zack PhillipsMinnesota WildC/RW311983-10-28 13:27:05No193 Lbs6 ft1YesNoN/ANoNo3Pro Only6,000,000$2,052,632$6,000,000$2,052,632$No6,000,000$6,000,000$-------YesYes-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.30200 Lbs6 ft22.783,195,652$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
73,499,999$66,600,000$42,100,000$21,500,000$8,500,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew TkachukDustin BrownJoonas Donskoi30122
2Alex DebrincatLucas WallmarkBrendan Smith30122
3Simon HjalmarssonJuraj SimekZack Phillips25122
4Nicolas BlanchardJohn McFarland Thomas Spelling15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brian LeeJarred Tinordi30122
2Luka SbisaDuncan Siemens 30122
3Samuel GirardLucas Johansen25122
4Josh MorrisseyVincent Dunn15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew TkachukDustin BrownJoonas Donskoi60122
2Juraj SimekBrendan SmithLucas Wallmark40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brian LeeLucas Johansen60122
2Alex DebrincatLuka Sbisa40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John McFarland Nicolas Blanchard60122
2Zack PhillipsJuraj Simek40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred TinordiBrian Lee60122
2Lucas JohansenLuka Sbisa40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zack Phillips50122Jarred TinordiJosh Morrissey50122
2John McFarland 50122Brian LeeLuka Sbisa50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Juraj SimekSimon Hjalmarsson50122
2Alex DebrincatMatthew Tkachuk50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brian LeeJarred Tinordi50122
2Josh MorrisseyLuka Sbisa50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew TkachukDustin BrownBrendan SmithAlex DebrincatLuka Sbisa
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dustin BrownBrendan SmithJoonas DonskoiDuncan Siemens Luka Sbisa
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Juraj Simek, Dustin Brown, Lucas WallmarkJuraj Simek, Dustin BrownJuraj Simek
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luka Sbisa, Lucas Johansen, Vincent DunnLuka SbisaLuka Sbisa, Lucas Johansen
Tirs de pénalité
Dustin Brown, Lucas Wallmark, Brendan Smith, Joonas Donskoi, Juraj Simek
Gardien
#1 : Connor Hellebuyck , #2 : Samuel Ersson, #3 : Zachary Nagelvoort
Lignes d’attaque personnalisées en prolongation
Dustin Brown, Alex Debrincat, Simon Hjalmarsson, Joonas Donskoi, Juraj Simek, Brendan Smith, Brendan Smith, Lucas Wallmark, Matthew Tkachuk, Nicolas Blanchard, Zack Phillips
Lignes de défense personnalisées en prolongation
Lucas Johansen, Vincent Dunn, Brian Lee, Luka Sbisa, Jarred Tinordi


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
1Anaheim Ducks2010010035-21000010012-11010000023-110.25034700120075322320087274326116.67%20100.00%0767147951.86%769150751.03%37076248.56%452742163317
2Boston Bruins2110000036-3110000002111010000015-420.50036900111079252529072222036400.00%10370.00%0767147951.86%769150751.03%37076248.56%452741163216
3Buffalo Sabres21100000871110000006421010000023-120.50081422001250681628240811917329222.22%6350.00%0767147951.86%769150751.03%37076248.56%382044193719
4Calgary Flames211000006601010000025-31100000041320.500691500321086391631068266416116.67%30100.00%0767147951.86%769150751.03%37076248.56%462941153216
5Carolina Hurricanes2010001056-11010000013-21000001043120.5005712000131722912286641411265120.00%30100.00%1767147951.86%769150751.03%37076248.56%442441193919
6Chicago Blackhawks1000000123-1000000000001000000123-110.5002460011003916101153910617200.00%3166.67%0767147951.86%769150751.03%37076248.56%2313229199
7Colorado Avalanche22000000734110000004131100000032141.000791600232079293119073251036100.00%50100.00%0767147951.86%769150751.03%37076248.56%412544173416
8Dallas Stars20100010810-2100000105411010000036-320.50081119000521753324155722017428112.50%6183.33%1767147951.86%769150751.03%37076248.56%462743173518
9Detroit Red Wings220000001046110000006241100000042241.00010192900523075362118074296378112.50%30100.00%0767147951.86%769150751.03%37076248.56%432642173418
10Edmonton Oilers2010010069-31010000024-21000010045-110.2506915102220612016232892310186116.67%6183.33%0767147951.86%769150751.03%37076248.56%361950183416
11Florida Panthers22000000844110000004221100000042241.000814220004407222252507027242600.00%10100.00%0767147951.86%769150751.03%37076248.56%442540163419
12Los Angeles Kings20100010550100000104311010000012-120.5005712001121803617254703012237114.29%60100.00%0767147951.86%769150751.03%37076248.56%452744173417
13Montreal Canadiens2010000136-31000000123-11010000013-210.25036900030084274114569301238500.00%50100.00%0767147951.86%769150751.03%37076248.56%452643173618
14New Jersey Devils2110000056-1110000004311010000013-220.500581300311075293115082268445240.00%40100.00%0767147951.86%769150751.03%37076248.56%442742153317
15New York Islanders2110000034-11010000013-21100000021120.5003690001206920321707137629200.00%30100.00%0767147951.86%769150751.03%37076248.56%392244173617
16New York Rangers21100000862110000007341010000013-220.5008152300251079353113080266406116.67%3166.67%0767147951.86%769150751.03%37076248.56%412544163417
17Ottawa Senators20100010770100000103211010000045-120.5007101700132172351519584351232200.00%6266.67%0767147951.86%769150751.03%37076248.56%422446173617
18Philadelphia Flyers21001000945100010003211100000062441.0009172600233180231934479221243300.00%6183.33%0767147951.86%769150751.03%37076248.56%432443163317
19Pittsburgh Penguins21001000532110000003211000100021141.00059140003117921322337531839300.00%40100.00%0767147951.86%769150751.03%37076248.56%462842163417
20San Jose Sharks21100000660110000004221010000024-220.50068140032106623301308524630200.00%30100.00%0767147951.86%769150751.03%37076248.56%382245163517
21St-Louis Blues2110000056-1110000003211010000024-220.500510150023007634281408919632300.00%30100.00%0767147951.86%769150751.03%37076248.56%422543163317
22Tampa Bay Lightning2020000019-81010000015-41010000004-400.00012300001067271228075281422400.00%7271.43%0767147951.86%769150751.03%37076248.56%402143173618
23Toronto Maple Leafs21100000853110000005141010000034-120.5008122000233078322917082261136500.00%3166.67%0767147951.86%769150751.03%37076248.56%432643153317
24Vancouver Canucks2020000047-31010000023-11010000024-200.000471110130086332924083291035200.00%5260.00%0767147951.86%769150751.03%37076248.56%442946152914
25Vegas Golden Knights20200000610-41010000034-11010000036-300.0006111710312077272921092211435200.00%7185.71%1767147951.86%769150751.03%37076248.56%392246163416
26Washington Capitals1010000029-71010000029-70000000000000.000235001010421614120418217100.00%10100.00%0767147951.86%769150751.03%37076248.56%1911238178
27Winnipeg Jets2020000036-31010000023-11010000013-200.00034700120059271319070248224125.00%40100.00%0767147951.86%769150751.03%37076248.56%412241183719
Total52172502242146162-1626119011318278426616011116484-20500.48114624138730385943619507426335513920166582568761171311.11%1181983.90%3767147951.86%769150751.03%37076248.56%11136551138445904458
_Since Last GM Reset52172502242146162-1626119011318278426616011116484-20500.48114624138730385943619507426335513920166582568761171311.11%1181983.90%3767147951.86%769150751.03%37076248.56%11136551138445904458
_Vs Conference52172502242146162-1626119011318278426616011116484-20500.48114624138730385943619507426335513920166582568761171311.11%1181983.90%3767147951.86%769150751.03%37076248.56%11136551138445904458
_Vs Division23513002216176-151135001203233-11228001012943-14170.37061931543020271228593492662351691727810936349612.24%53688.68%2767147951.86%769150751.03%37076248.56%491293511196393197

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5250W11462413871950201665825687630
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5217252242146162
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2611911318278
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2661611116484
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1171311.11%1181983.90%3
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
742633551393859436
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
767147951.86%769150751.03%37076248.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11136551138445904458


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
14Minnesota Wild3Dallas Stars6ALSommaire du match
320Los Angeles Kings3Minnesota Wild4BWXXSommaire du match
535Vancouver Canucks3Minnesota Wild2BLSommaire du match
745Detroit Red Wings2Minnesota Wild6BWSommaire du match
1064Winnipeg Jets3Minnesota Wild2BLSommaire du match
1382Minnesota Wild2Chicago Blackhawks3ALXXSommaire du match
1486Minnesota Wild2Anaheim Ducks3ALSommaire du match
17106Minnesota Wild2Vancouver Canucks4ALSommaire du match
20122New Jersey Devils3Minnesota Wild4BWSommaire du match
23136Colorado Avalanche1Minnesota Wild4BWSommaire du match
27161Florida Panthers2Minnesota Wild4BWSommaire du match
28165Minnesota Wild4Calgary Flames1AWSommaire du match
30177Minnesota Wild4Carolina Hurricanes3AWXXSommaire du match
32188Minnesota Wild2Buffalo Sabres3ALSommaire du match
36217Minnesota Wild2Pittsburgh Penguins1AWXSommaire du match
38228St-Louis Blues2Minnesota Wild3BWSommaire du match
40239Minnesota Wild1Montreal Canadiens3ALSommaire du match
41241Minnesota Wild1Boston Bruins5ALSommaire du match
45269New York Rangers3Minnesota Wild7BWSommaire du match
46271Calgary Flames5Minnesota Wild2BLSommaire du match
48283Anaheim Ducks2Minnesota Wild1BLXSommaire du match
51303Minnesota Wild6Philadelphia Flyers2AWSommaire du match
53315Minnesota Wild2New York Islanders1AWSommaire du match
56331Minnesota Wild1Los Angeles Kings2ALSommaire du match
57337Edmonton Oilers4Minnesota Wild2BLSommaire du match
61362Ottawa Senators2Minnesota Wild3BWXXSommaire du match
63372Minnesota Wild4Detroit Red Wings2AWSommaire du match
66392Minnesota Wild2St-Louis Blues4ALSommaire du match
70410Boston Bruins1Minnesota Wild2BWSommaire du match
72424New York Islanders3Minnesota Wild1BLSommaire du match
73430Philadelphia Flyers2Minnesota Wild3BWXSommaire du match
76446Minnesota Wild4Edmonton Oilers5ALXSommaire du match
77449San Jose Sharks2Minnesota Wild4BWSommaire du match
81475Minnesota Wild1Winnipeg Jets3ALSommaire du match
83487Minnesota Wild4Florida Panthers2AWSommaire du match
86506Minnesota Wild1New Jersey Devils3ALSommaire du match
88516Minnesota Wild4Ottawa Senators5ALSommaire du match
90527Minnesota Wild2San Jose Sharks4ALSommaire du match
92541Carolina Hurricanes3Minnesota Wild1BLSommaire du match
94552Toronto Maple Leafs1Minnesota Wild5BWSommaire du match
95555Tampa Bay Lightning5Minnesota Wild1BLSommaire du match
98577Minnesota Wild0Tampa Bay Lightning4ALSommaire du match
100586Buffalo Sabres4Minnesota Wild6BWSommaire du match
103603Dallas Stars4Minnesota Wild5BWXXSommaire du match
105616Minnesota Wild3Colorado Avalanche2AWSommaire du match
107626Vegas Golden Knights4Minnesota Wild3BLSommaire du match
110648Montreal Canadiens3Minnesota Wild2BLXXSommaire du match
112655Minnesota Wild1New York Rangers3ALSommaire du match
116678Minnesota Wild3Vegas Golden Knights6ALSommaire du match
117683Minnesota Wild3Toronto Maple Leafs4ALSommaire du match
119694Washington Capitals9Minnesota Wild2BLSommaire du match
123717Pittsburgh Penguins2Minnesota Wild3BWSommaire du match
126733Minnesota Wild-Washington Capitals-
129750Chicago Blackhawks-Minnesota Wild-
131762Winnipeg Jets-Minnesota Wild-
134780Philadelphia Flyers-Minnesota Wild-
136794Minnesota Wild-Toronto Maple Leafs-
138807St-Louis Blues-Minnesota Wild-
140820Ottawa Senators-Minnesota Wild-
142830Minnesota Wild-Washington Capitals-
144846San Jose Sharks-Minnesota Wild-
147864Minnesota Wild-Vegas Golden Knights-
148869Minnesota Wild-New York Islanders-
150880Minnesota Wild-Calgary Flames-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153898Dallas Stars-Minnesota Wild-
154909Minnesota Wild-Vancouver Canucks-
156922Montreal Canadiens-Minnesota Wild-
158934Minnesota Wild-New York Rangers-
160943Anaheim Ducks-Minnesota Wild-
162958Chicago Blackhawks-Minnesota Wild-
164970Minnesota Wild-Boston Bruins-
165979Florida Panthers-Minnesota Wild-
167992Pittsburgh Penguins-Minnesota Wild-
1711016Colorado Avalanche-Minnesota Wild-
1731031Minnesota Wild-Edmonton Oilers-
1751043Minnesota Wild-Buffalo Sabres-
1771057Minnesota Wild-Detroit Red Wings-
1801078Tampa Bay Lightning-Minnesota Wild-
1811083Minnesota Wild-Carolina Hurricanes-
1841103New Jersey Devils-Minnesota Wild-
1861116Minnesota Wild-Los Angeles Kings-
1901148Minnesota Wild-Winnipeg Jets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité50005000500040001000
Prix des billets76412612160
Assistance112,466116,269115,012101,49922,991
Attendance PCT86.51%89.44%88.47%97.60%88.43%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 18009 - 90.05% 1,214,998$31,589,947$2000090

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
48,183,657$ 73,499,999$ 70,349,999$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
73,499,999$ 47,525,777$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
18,224,969$ 65 392,105$ 25,486,825$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
26,933,270$ 42,466,935$ 38,228,634$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
73,499,999$ 11,500,001$ 85,000,000$ 18,499,999$



Charte de profondeur

Ailier gaucheCentreAilier droit
Dustin BrownAGE:38PO:22OV:82
Joonas DonskoiAGE:31PO:26OV:75
Brendan SmithAGE:35PO:18OV:75
Simon HjalmarssonAGE:35PO:17OV:75
Matthew TkachukAGE:25PO:71OV:74
Juraj SimekAGE:36PO:44OV:74
J.T.Miller AGE:30PO:54OV:69
John McFarland AGE:31PO:42OV:69
Nicolas BlanchardAGE:36PO:33OV:69
Jack Dugan (R)AGE:25PO:53OV:68
Mike HoffmanAGE:34PO:9OV:68
Yevgeni Oksentyuk (R)AGE:22PO:72OV:67
Filip Hallander (R)AGE:23PO:64OV:67
Bo HorvatAGE:29PO:68OV:65
Olle Lycksell (R)AGE:24PO:52OV:62
Alex DebrincatAGE:25PO:65OV:74
Zack PhillipsAGE:31PO:48OV:72
Lucas WallmarkAGE:28PO:45OV:72
J.T.Miller AGE:30PO:54OV:69
John McFarland AGE:31PO:42OV:69
Nicolas BlanchardAGE:36PO:33OV:69
Mike HoffmanAGE:34PO:9OV:68
Filip Hallander (R)AGE:23PO:64OV:67
Bo HorvatAGE:29PO:68OV:65
Mason Shaw (R)AGE:24PO:59OV:65
Benoit-Olivier Groulx (R)AGE:23PO:69OV:63
Cole Guttman (R)AGE:24PO:53OV:62
Olle Lycksell (R)AGE:24PO:52OV:62
Dustin BrownAGE:38PO:22OV:82
Joonas DonskoiAGE:31PO:26OV:75
Simon HjalmarssonAGE:35PO:17OV:75
Alex DebrincatAGE:25PO:65OV:74
Juraj SimekAGE:36PO:44OV:74
Thomas SpellingAGE:29PO:29OV:73
Zack PhillipsAGE:31PO:48OV:72
Lucas WallmarkAGE:28PO:45OV:72
J.T.Miller AGE:30PO:54OV:69
Mario KempeAGE:35PO:9OV:68
Yevgeni Oksentyuk (R)AGE:22PO:72OV:67
Filip Hallander (R)AGE:23PO:64OV:67
Patrick BartschiAGE:39PO:1OV:66
Olle Lycksell (R)AGE:24PO:52OV:62
Serron Noel (R)AGE:23PO:70OV:61

Défense #1Défense #2Gardien
Brendan SmithAGE:35PO:18OV:75
Josh MorrisseyAGE:28PO:53OV:74
Samuel GirardAGE:25PO:64OV:73
Jarred TinordiAGE:31PO:44OV:73
Brian LeeAGE:36PO:39OV:73
Luka SbisaAGE:34PO:34OV:73
Duncan Siemens AGE:30PO:46OV:72
Lucas JohansenAGE:25PO:66OV:71
Vincent Dunn (R)AGE:27PO:55OV:70
William Wallinder (R)AGE:20PO:76OV:68
Calen Addison (R)AGE:23PO:69OV:68
Chris Martenet (R)AGE:26PO:56OV:67
Alexander EdlerAGE:37PO:23OV:67
Matthew SpencerAGE:26PO:64OV:66
Ryan Johnson (R)AGE:22PO:54OV:66
Cameron AbneyAGE:32PO:25OV:65
Connor Hall (R)AGE:25PO:54OV:63
Connor Hellebuyck AGE:29PO:47OV:73
Samuel Ersson (R)AGE:23PO:61OV:70
Zachary NagelvoortAGE:29PO:55OV:70
Semyon VarlamovAGE:35PO:42OV:70
Brian FosterAGE:35PO:29OV:68
Filip Lindberg (R)AGE:24PO:54OV:64

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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.
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EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien

Choix au repêchage

Année R1R2R3
2024MIN TOR LAK MIN
2025MIN MIN MIN
2026MIN MIN MIN
2027MIN MIN MIN
2028MIN MIN MIN
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Minnesota Wild Historique de transactions

[2023-10-30 11:32:17] - Mario Kempe has been selected as assistant for Iowa Wild.
[2023-10-30 11:32:17] - Unknown Player is no longer as assistant for Iowa Wild.
[2023-10-30 11:32:17] - Mike Hoffman has been selected as assistant for Iowa Wild.
[2023-10-30 11:32:17] - Unknown Player is no longer as assistant for Iowa Wild.
[2023-10-30 11:32:17] - Brendan Smith has been selected as assistant for Minnesota Wild.
[2023-10-30 11:32:17] - Unknown Player is no longer as assistant for Minnesota Wild.
[2023-10-30 11:32:17] - Simon Hjalmarsson has been selected as assistant for Minnesota Wild.
[2023-10-30 11:32:17] - Unknown Player is no longer as assistant for Minnesota Wild.
[2023-10-28 11:09:50] - TRADE : From Toronto Maple Leafs to Minnesota Wild : Mike Hoffman (68), Cameron Abney (65), Brian Foster (68).
[2023-08-17 16:43:49] - Filip Lindberg signed with Minnesota Wild for 750 000 $ for 1 year(s).
[2023-08-17 16:43:49] - Filip Lindberg was added to Minnesota Wild.
[2023-08-17 16:43:40] - Matthew Spencer signed with Minnesota Wild for 975 000 $ for 2 year(s).
[2023-08-17 16:43:40] - Matthew Spencer was added to Minnesota Wild.
[2023-08-17 16:43:31] - Benoit-Olivier Groulx signed with Minnesota Wild for 600 000 $ for 2 year(s).
[2023-08-17 16:43:31] - Benoit-Olivier Groulx was added to Minnesota Wild.



[2024-02-28 19:43:10] Successfully loaded Minnesota Wild lines done with STHS Client - 3.4.0.0
[2024-02-19 01:05:51] John McFarland from Minnesota Wild is back from Sprained Left Ankle Injury.
[2024-02-17 23:16:31] Successfully loaded Minnesota Wild lines done with STHS Client - 3.4.0.0
[2024-02-17 00:35:48] Farm Game #648 - Jack Dugan from Iowa Wild has scored a Hat Trick!
[2024-02-17 00:35:48] Game 648 - John McFarland from Minnesota Wild is injured (Sprained Left Ankle) and is out for 1 week.
[2024-02-11 16:14:30] Thomas Spelling from Minnesota Wild is back from Strained Left Knee Injury.
[2024-02-11 16:14:30] Last 7 Days Farm Star : 1 - Semyon Varlamov of Iowa Wild (0,956) / 2 - Arvid Costmar of Providence Bruins (4-3-7) / 3 - Jonatan Berggren of San Jose Barracuda (3-4-7)
[2024-02-08 23:25:14] Successfully loaded Minnesota Wild lines done with STHS Client - 3.4.0.0
[2024-02-07 23:48:30] Auto Lines Partial Function has been run for Iowa Wild.
[2024-02-07 23:48:30] Iowa Wild (Minnesota Wild) lines errors : Normal line # 4 Defense #4 is empty. PK line 1 Defense #1 is empty. PP line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. Extra Defense #3 is empty. Extra Defense #4 is empty. OT Defense #3 is empty.
[2024-02-07 23:48:30] Auto Lines Partial Function has been run for Minnesota Wild.
[2024-02-07 23:48:30] Minnesota Wild lines errors : Normal line # 3 LW is empty. Normal line # 4 RW is empty. LastMinDef line RW is empty. Penalty Shot Player #3 is empty.
[2024-02-05 21:46:01] Cameron Abney from Iowa Wild is back from Sprained Right Finger Injury.
[2024-02-05 21:45:57] Auto Lines Partial Function has been run for Iowa Wild.
[2024-02-05 21:45:57] Iowa Wild (Minnesota Wild) lines errors : Normal line # 4 Defense #4 is empty. PK line 1 Defense #1 is empty. PP line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. Extra Defense #3 is empty. Extra Defense #4 is empty. OT Defense #3 is empty.
[2024-02-05 21:45:57] Auto Lines Partial Function has been run for Minnesota Wild.
[2024-02-05 21:45:57] Minnesota Wild lines errors : Normal line # 3 LW is empty. Normal line # 4 RW is empty. LastMinDef line RW is empty. Penalty Shot Player #3 is empty.



Pas de blessure ou de suspension.


Minnesota Wild Leaders statistiques des joueurs (saison régulière)

# 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

Minnesota Wild Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Minnesota Wild Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Minnesota Wild Leaders statistiques des joueurs (séries éliminatoires)

# 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

Minnesota Wild Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA