Minnesota Wild

GP: 10 | W: 8 | L: 1 | OTL: 1 | P: 17
GF: 34 | GA: 24 | PP%: 9.09% | PK%: 80.00%
DG: Kevin Bourassa | Morale : 60 | Moyenne d'Équipe : 72
Prochain matchs #161 vs Vegas Golden Knights
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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 SP
1Gabriel Landeskog (A)X100.008147768280878678727981767574917760760
2Sean CouturierX100.006339827986889378888179847673727463760
3Filip ForsbergXX100.007738828079847778527982738169768263740
4Sebastian AhoXX100.006638857770869576798278718063697463730
5Travis ZajacX100.006937857277859371867270836984775363720
6Max DomiXX100.006355677869839576777971587367668360700
7Michael GrabnerXX100.006637898075775473546674837180735263700
8Andreas JohnssonXX100.006439837667758673537274657169686363690
9Ondrej KaseXX100.005735907670805074537277627367664863670
10Jack RoslovicXX100.005735946875659066776964616865628163650
11Lucas WallmarkX100.007339826670779465806762646567686163650
12Jordan WealXX100.005438886766747665796663686573685663640
13Drew Doughty (C)X100.008340767778939576308469776378767363760
14Andy GreeneX100.007037886470879563307259935187922963750
15Darnell NurseX100.008561696791929465307766805467658563740
16Justin Faulk (A)X100.008346767478899573307669725873806463730
17Brooks OrpikX100.009051726187806659306854825089793263710
18Jason DemersX100.007438806376855061307262785179733863680
Rayé
1Gustav ForslingX100.006439816872756266307262715365636840650
MOYENNE D'ÉQUIPE100.00704281727682817056746974667373636171
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 SP
1Matt Murray100.00939492829291939291939269736263870
2Corey Crawford100.00868381848584868584868585893763830
Rayé
MOYENNE D'ÉQUIPE100.0090898783898890898890897781506385
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colliton77768986514890CAN3451,000,000$


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'ÉquipePOS 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
1Sebastian AhoMinnesota WildC/LW10281092012192210219.09%220120.180113200001270152.14%23400000.9900000011
2Brooks OrpikMinnesota WildD1028101410020540350.00%413013.070000000002000.00%000001.5300000102
3Michael GrabnerMinnesota WildLW/RW105510920151844103311.36%416116.17000420000001161.54%1300001.2400000210
4Andreas JohnssonMinnesota WildLW/RW1045910201071742323.53%016916.95000120000031025.00%800001.0600000200
5Sean CouturierMinnesota WildC104594006364713258.51%824824.820116220001470157.55%27800000.7301000101
6Filip ForsbergMinnesota WildLW/RW10448340191135123011.43%321521.600000220001181028.21%3900000.7401000011
7Gabriel LandeskogMinnesota WildLW10358523519193411218.82%322622.601012220003411147.79%11300000.7111001021
8Andy GreeneMinnesota WildD1014550071019595.26%2425725.74000322000039100.00%000000.3900000011
9Drew DoughtyMinnesota WildD1023551403011144514.29%1824924.98011622000032000.00%000100.4000000000
10Jason DemersMinnesota WildD1004413405155150.00%1213813.8500000000015000.00%000000.5800000000
11Lucas WallmarkMinnesota WildC101233007752320.00%1585.8400000000000051.22%8200001.0300000000
12Justin FaulkMinnesota WildD10213-31001612156913.33%1121621.61101420000030100.00%000000.2800000001
13Jack RoslovicMinnesota WildC/RW101123402583912.50%0616.1500000000000083.33%600000.6500000000
14Darnell NurseMinnesota WildD10022-4160221013790.00%2321721.72000320000029000.00%000000.1800000000
15Jordan WealMinnesota WildC/LW10022220136350.00%1616.1600000000000061.54%1300000.6500000000
16Max DomiMinnesota WildC/LW10202-11151281551113.33%010210.2100000000001030.77%1300000.3900010000
17Ondrej KaseMinnesota WildLW/RW10011-10025227150.00%111211.26000000000100033.33%1800000.1800000000
18Travis ZajacMinnesota WildC10011-2401115155100.00%211511.5100000000000056.82%13200000.1700000000
Stats d'équipe Total ou en Moyenne18033619474108102162163401082469.71%117294416.362353221400062997452.37%94900100.6413011668
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
1Matt MurrayMinnesota Wild108110.9312.3760901243480001.0003100110
Stats d'équipe Total ou en Moyenne108110.9312.3760901243480001.0003100110


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Andreas JohnssonMinnesota WildLW/RW241994-11-21No181 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Andy GreeneMinnesota WildD361982-10-30No190 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm1,600,000$1,600,000$1,600,000$NoLien
Brooks OrpikMinnesota WildD381980-09-26No217 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm1,040,000$1,040,000$1,040,000$NoLien
Corey CrawfordMinnesota WildG341984-12-31No216 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm3,000,000$3,000,000$3,000,000$NoLien
Darnell NurseMinnesota WildD241995-02-04No221 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm900,000$900,000$900,000$NoLien
Drew DoughtyMinnesota WildD291989-12-08No202 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Filip ForsbergMinnesota WildLW/RW241994-08-13No205 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Gabriel LandeskogMinnesota WildLW261992-11-23No215 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Gustav ForslingMinnesota WildD231996-06-12No186 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Jack RoslovicMinnesota WildC/RW221997-01-29No187 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm500,000$500,000$500,000$NoLien
Jason DemersMinnesota WildD311988-06-09No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Jordan WealMinnesota WildC/LW271992-04-15No179 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien
Justin FaulkMinnesota WildD271992-03-20No217 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Lucas WallmarkMinnesota WildC231995-09-05No178 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Matt MurrayMinnesota WildG251994-05-25No178 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm3,000,000$3,000,000$3,000,000$NoLien
Max DomiMinnesota WildC/LW241995-03-02No193 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm900,000$900,000$900,000$NoLien
Michael GrabnerMinnesota WildLW/RW311987-10-05No188 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Ondrej KaseMinnesota WildLW/RW231995-11-08No186 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Sean CouturierMinnesota WildC261992-12-07No211 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm2,800,000$2,800,000$2,800,000$NoLien
Sebastian AhoMinnesota WildC/LW211997-07-26No176 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Travis ZajacMinnesota WildC341985-05-13No185 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2127.24196 Lbs6 ft11.672,011,429$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
42,240,000$20,740,000$3,000,000$3,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel LandeskogSean CouturierFilip Forsberg40122
2Michael GrabnerSebastian AhoAndreas Johnsson30122
3Max DomiTravis ZajacOndrej Kase20122
4Jordan WealLucas WallmarkJack Roslovic10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Drew DoughtyAndy Greene40122
2Darnell NurseJustin Faulk30122
3Brooks OrpikJason Demers20122
4Drew DoughtyAndy Greene10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel LandeskogSean CouturierFilip Forsberg60122
2Michael GrabnerSebastian AhoAndreas Johnsson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Drew DoughtyAndy Greene60122
2Darnell NurseJustin Faulk40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel LandeskogSean Couturier60122
2Filip ForsbergSebastian Aho40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Drew DoughtyAndy Greene60122
2Darnell NurseJustin Faulk40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Gabriel Landeskog60122Drew DoughtyAndy Greene60122
2Sean Couturier40122Darnell NurseJustin Faulk40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel LandeskogSean Couturier60122
2Filip ForsbergSebastian Aho40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Drew DoughtyAndy Greene60122
2Darnell NurseJustin Faulk40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gabriel LandeskogSean CouturierFilip ForsbergDrew DoughtyAndy Greene
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gabriel LandeskogSean CouturierFilip ForsbergDrew DoughtyAndy Greene
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Travis Zajac, Max Domi, Ondrej KaseTravis Zajac, Max DomiOndrej Kase
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brooks Orpik, Jason Demers, Darnell NurseBrooks OrpikJason Demers, Darnell Nurse
Tirs de Pénalité
Gabriel Landeskog, Sean Couturier, Filip Forsberg, Sebastian Aho, Travis Zajac
Gardien
#1 : Matt Murray, #2 : Corey Crawford


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
LigueDomicileVisiteur
# 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 Ducks11000000202110000002020000000000021.00024601011028815502510426300.00%20100.00%020939153.45%20640051.50%8214357.34%2416227136
2Calgary Flames11000000541110000005410000000000021.00058130022103381510033126182150.00%3166.67%020939153.45%20640051.50%8214357.34%2316247126
3Edmonton Oilers211000008801010000024-21100000064220.5008162400035062183014085212847500.00%12466.67%020939153.45%20640051.50%8214357.34%422854152211
4Los Angeles Kings210001006421000010023-11100000041330.7506121800501065242513366232740200.00%6183.33%020939153.45%20640051.50%8214357.34%483348152612
5Phoenix Coyotes11000000321000000000001100000032121.00035800111032616100339819400.00%3166.67%020939153.45%20640051.50%8214357.34%2618217126
6San Jose Sharks20001010642100010004311000001021141.0006814001122762927185673027426116.67%10190.00%020939153.45%20640051.50%8214357.34%513447152613
Total10610111034241052101100151415400001019109170.8503461950110101223401071438583481171082162229.09%40880.00%020939153.45%20640051.50%8214357.34%2411642407512663
8Vancouver Canucks11000000422000000000001100000042221.00048120012104414151503912824000.00%40100.00%020939153.45%20640051.50%8214357.34%2416237126
_Since Last GM Reset10610111034241052101100151415400001019109170.8503461950110101223401071438583481171082162229.09%40880.00%020939153.45%20640051.50%8214357.34%2411642407512663
_Vs Conference10610111034241052101100151415400001019109170.8503461950110101223401071438583481171082162229.09%40880.00%020939153.45%20640051.50%8214357.34%2411642407512663

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1017L134619534034811710821601
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
106111103424
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52111001514
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
54000101910
Derniers 10 Matchs
WLOTWOTL SOWSOL
611110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2229.09%40880.00%0
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
1071438581010122
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
20939153.45%20640051.50%8214357.34%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2411642407512663


Derniers Match 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
1 - 2019-09-029Los Angeles Kings3Minnesota Wild2LXSommaire du Match
2 - 2019-09-0325Minnesota Wild4Vancouver Canucks2WSommaire du Match
4 - 2019-09-0540Minnesota Wild2San Jose Sharks1WXXSommaire du Match
6 - 2019-09-0754Minnesota Wild4Los Angeles Kings1WSommaire du Match
7 - 2019-09-0862San Jose Sharks3Minnesota Wild4WXSommaire du Match
9 - 2019-09-1084Minnesota Wild6Edmonton Oilers4WSommaire du Match
10 - 2019-09-1196Calgary Flames4Minnesota Wild5WSommaire du Match
11 - 2019-09-12110Minnesota Wild3Phoenix Coyotes2WSommaire du Match
13 - 2019-09-14126Anaheim Ducks0Minnesota Wild2WSommaire du Match
14 - 2019-09-15142Edmonton Oilers4Minnesota Wild2LSommaire du Match
16 - 2019-09-17161Vegas Golden Knights-Minnesota Wild-
17 - 2019-09-18171Minnesota Wild-Anaheim Ducks-
18 - 2019-09-19191Vancouver Canucks-Minnesota Wild-
19 - 2019-09-20196Minnesota Wild-Vegas Golden Knights-
20 - 2019-09-21207Minnesota Wild-Calgary Flames-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
26 - 2019-09-27248Phoenix Coyotes-Minnesota Wild-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
3 0 - 0.00% 0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 42,240,000$ 19,496,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 73,805,673$ 73,805,673$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Gabriel LandeskogAGE:26PO:77OV:76
Filip ForsbergAGE:24PO:82OV:74
Sebastian AhoAGE:21PO:74OV:73
Max DomiAGE:24PO:83OV:70
Michael GrabnerAGE:31PO:52OV:70
Andreas JohnssonAGE:24PO:63OV:69
Ondrej KaseAGE:23PO:48OV:67
Jordan WealAGE:27PO:56OV:64
Mackenzie MacEachernAGE:25PO:64OV:60
Sean CouturierAGE:26PO:74OV:76
Sebastian AhoAGE:21PO:74OV:73
Travis ZajacAGE:34PO:53OV:72
Max DomiAGE:24PO:83OV:70
Jack RoslovicAGE:22PO:81OV:65
Lucas WallmarkAGE:23PO:61OV:65
Jordan WealAGE:27PO:56OV:64
Phil VaroneAGE:28PO:52OV:63
Adam BrooksAGE:23PO:62OV:59
Gemel SmithAGE:25PO:58OV:59
Filip ForsbergAGE:24PO:82OV:74
Michael GrabnerAGE:31PO:52OV:70
Andreas JohnssonAGE:24PO:63OV:69
Ondrej KaseAGE:23PO:48OV:67
Jack RoslovicAGE:22PO:81OV:65
Steve BernierAGE:34PO:51OV:64
Nicholas BaptisteAGE:23PO:65OV:60
*Vitaly AbramovAGE:21PO:80OV:59
Nikita ScherbakAGE:23PO:78OV:59

Défense #1Défense #2Gardien
Drew DoughtyAGE:29PO:73OV:76
Andy GreeneAGE:36PO:29OV:75
Darnell NurseAGE:24PO:85OV:74
Justin FaulkAGE:27PO:64OV:73
Brooks OrpikAGE:38PO:32OV:71
Jason DemersAGE:31PO:38OV:68
Zach RedmondAGE:30PO:54OV:66
*Juuso ValimakiAGE:20PO:84OV:65
Gustav ForslingAGE:23PO:68OV:65
Victor MeteAGE:21PO:72OV:63
Rinat ValievAGE:24PO:65OV:63
Ludwig BystromAGE:24PO:71OV:61
Matt MurrayAGE:25PO:62OV:87
Corey CrawfordAGE:34PO:37OV:83
Anders NilssonAGE:29PO:55OV:81
Parker MilnerAGE:28PO:44OV:73

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Aleksi HeponiemiMinnesota Wild138
Alexander RomanovMinnesota Wild1423
Ben MarshallMinnesota Wild
Brendan RanfordMinnesota Wild
Brenden KichtonMinnesota Wild
Chase PriskieMinnesota Wild12136
Christoph BertschyMinnesota Wild
Darren DietzMinnesota Wild
Denis SmirnovMinnesota Wild1388
Filip BerglundMinnesota Wild1296
Hayden HawkeyMinnesota Wild10123
Jacob OlofssonMinnesota Wild1449
Jakub SkarekMinnesota Wild1489
Jeremy DaviesMinnesota Wild12120
Joe VelenoMinnesota Wild1416
Johan SodergranMinnesota Wild14101
Joni IkonenMinnesota Wild1377
Jordan SambrookMinnesota Wild1270
Joseph WollMinnesota Wild1274
Kent SimpsonMinnesota Wild
Nikolai KovalenkoMinnesota Wild1479
Otto KivenmakiMinnesota Wild14123
Samuel ErssonMinnesota Wild1457
Sasha ChmelevskiMinnesota Wild1357
Stepan FalkovskyMinnesota Wild
Tanner LaczynskiMinnesota Wild1287
William LockwoodMinnesota Wild12110
Yegor KorshkovMinnesota Wild1277

Choix au Repêchage

Année R1R2R3R4R5R6
15Nas Clb MTL Chi Min Min
16Min Phi Dal MTL Bos
17Bos MTL Min Min
18Min Min Min Col
19Min Min Min Min Min Min



[2019-08-15 21:24:52] - TRADE : From Minnesota Wild to Ottawa Senators : Joakim Ryan (63), Y:16-RND:2-Min.
[2019-08-15 21:24:52] - TRADE : From Ottawa Senators to Minnesota Wild : Travis Zajac (72).
[2019-08-10 15:03:28] - TRADE : From Minnesota Wild to Boston Bruins : Y:17-RND:2-Min.
[2019-08-10 15:03:28] - TRADE : From Boston Bruins to Minnesota Wild : Jason Demers (68).
[2019-08-09 17:04:01] - TRADE : From Boston Bruins to Minnesota Wild : Y:16-RND:4-Bos.
[2019-08-08 10:23:32] - TRADE : From Boston Bruins to Minnesota Wild : Jordan Weal (64).
[2019-08-07 07:39:46] - Peter Mueller has been deleted from Minnesota Wild.
[2019-08-07 07:39:44] - Patrick Sharp has been deleted from Minnesota Wild.
[2019-08-07 07:39:41] - Mike Ribeiro has been deleted from Minnesota Wild.
[2019-08-07 07:39:36] - Dominic Moore has been deleted from Minnesota Wild.
[2019-08-07 07:39:32] - Derek Dorsett has been deleted from Minnesota Wild.
[2019-08-05 19:21:00] - Wild hired Joel Bouchard for 1 000 000 $ for 5 year(s).
[2019-08-05 19:20:59] - Wild fired Kirk Muller.
[2019-07-24 16:30:44] - Minnesota Wild hired Jeremy Colliton for 1 000 000 $ for 5 year(s).
[2019-07-24 16:30:37] - Minnesota Wild fired Mike Van Ryn.
[2019-07-03 09:12:07] - Minnesota Wild drafts Otto Kivenmaki as the #123 overall pick in the Entry Draft of year 14.
[2019-06-28 10:58:50] - Minnesota Wild drafts Johan Sodergran as the #101 overall pick in the Entry Draft of year 14.
[2019-06-26 15:19:37] - TRADE : From Minnesota Wild to Calgary Flames : Y:15-RND:4-Wpg, Y:15-RND:5-Buf.
[2019-06-26 15:19:37] - TRADE : From Calgary Flames to Minnesota Wild : Y:14-RND:4-Phi.
[2019-06-25 11:09:40] - Minnesota Wild drafts Jakub Skarek as the #89 overall pick in the Entry Draft of year 14.
[2019-06-22 09:21:07] - TRADE : From Montreal Canadiens to Minnesota Wild : Y:14-RND:3-Ana, Y:14-RND:4-Was.
[2019-06-22 09:21:07] - TRADE : From Minnesota Wild to Montreal Canadiens : Y:14-RND:3-Nas.
[2019-06-22 09:09:33] - TRADE : From Minnesota Wild to Vegas Golden Knights : Trevor Daley (68).
[2019-06-22 09:09:33] - TRADE : From Vegas Golden Knights to Minnesota Wild : Y:18-RND:6-Col.
[2019-06-20 15:13:03] - TRADE : From Minnesota Wild to Vegas Golden Knights : Y:15-RND:5-VGK.
[2019-06-20 15:04:48] - Minnesota Wild drafts Nikolai Kovalenko as the #79 overall pick in the Entry Draft of year 14.
[2019-06-20 15:03:26] - Vitaly Abramov was added to Minnesota Wild.



[2019-08-19 20:56:06] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[2019-08-19 20:56:06] Anders Nilsson of Minnesota Wild was sent to farm.
[2019-08-19 20:56:06] Vitaly Abramov of Minnesota Wild was sent down to farm.
[2019-08-19 20:56:06] Juuso Valimaki of Minnesota Wild was sent down to farm.
[2019-08-19 20:56:06] Zach Redmond of Minnesota Wild was sent down to farm.
[2019-08-17 11:01:13] Minnesota Wild roster errors : Too many Players available in Pro Team! 20 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2019-08-15 21:24:52] TRADE : From Minnesota Wild to Ottawa Senators : Joakim Ryan (63), Y:16-RND:2-Min.
[2019-08-15 21:24:52] TRADE : From Ottawa Senators to Minnesota Wild : Travis Zajac (72).
[2019-08-10 15:03:28] TRADE : From Minnesota Wild to Boston Bruins : Y:17-RND:2-Min.
[2019-08-10 15:03:28] TRADE : From Boston Bruins to Minnesota Wild : Jason Demers (68).
[2019-08-09 17:04:01] TRADE : From Boston Bruins to Minnesota Wild : Y:16-RND:4-Bos.
[2019-08-08 10:23:32] TRADE : From Boston Bruins to Minnesota Wild : Jordan Weal (64).
[2019-08-07 07:39:46] Peter Mueller has been deleted from Minnesota Wild.
[2019-08-07 07:39:44] Patrick Sharp has been deleted from Minnesota Wild.
[2019-08-07 07:39:41] Mike Ribeiro has been deleted from Minnesota Wild.
[2019-08-07 07:39:36] Dominic Moore has been deleted from Minnesota Wild.
[2019-08-07 07:39:32] Derek Dorsett has been deleted from Minnesota Wild.
[2019-08-05 19:21:00] Wild hired Joel Bouchard for 1 000 000 $ for 5 year(s).
[2019-08-05 19:20:59] Wild fired Kirk Muller.
[2019-07-29 23:44:17] Auto Lines Function has been run for Minnesota Wild.
[2019-07-29 23:44:14] Auto Roster Partial Function has been run for Minnesota Wild.
[2019-07-29 23:44:14] Lucas Wallmark of Minnesota Wild was sent to pro.
[2019-07-29 23:44:14] Zach Redmond of Minnesota Wild was sent to pro.
[2019-07-29 23:44:14] Andreas Johnsson of Minnesota Wild was sent to pro.
[2019-07-29 23:44:13] Wild roster errors : Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[2019-07-29 23:44:13] Minnesota Wild roster errors : Not enough Left Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Forward available in Pro Team! 7 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 4 Dressed. 6 Required. Not enough Goalie available in Pro Team! 0 Dressed. 2 Required. Not enough Players available in Pro Team! 11 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-29 07:29:09] Wild roster errors : Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[2019-07-29 07:29:09] Minnesota Wild roster errors : Not enough Left Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Forward available in Pro Team! 7 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 4 Dressed. 6 Required. Not enough Goalie available in Pro Team! 0 Dressed. 2 Required. Not enough Players available in Pro Team! 11 Dressed. 18 Required. Some errors will be automatically fixed.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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