Minnesota Wild

GP: 50 | W: 34 | L: 13 | OTL: 3 | P: 71
GF: 169 | GA: 135 | PP%: 20.63% | PK%: 83.00%
DG: Kevin Bourassa | Morale : 80 | Moyenne d'Équipe : 72
Prochain matchs #802 vs Boston Bruins
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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)X100.008147768280878678727981767574917780760
2Sean CouturierX100.006339827986889378888179847673727467760
3Filip ForsbergXX100.007738828079847778527982738169768277740
4Sebastian AhoXX100.006638857770869576798278718063697481730
5Travis ZajacX100.006937857277859371867270836984775378730
6Max DomiXX100.006355677869839576777971587367668381700
7Michael GrabnerXX100.006637898075775473546674837180735281700
8Andreas JohnssonXX100.006439837667758673537274657169686378690
9Frans NielsenX100.006738896875828566807267786585793930690
10Ondrej KaseXX100.005735907670805074537277627367664878680
11Jack RoslovicXX100.005735946875659066776964616865628181650
12Jordan WealXX100.005438886766747665796663686573685681650
13Drew Doughty (C)X100.008340767778939576308469776378767382760
14Andy GreeneX100.007037886470879563307259935187922981750
15Darnell NurseX100.008561696791929465307766805467658581740
16Justin Faulk (A)X100.008346767478899573307669725873806481740
17Brooks OrpikX100.009051726187806659306854825089793281710
18Jason DemersX100.007438806376855061307262785179733881680
Rayé
1Lucas WallmarkX100.007339826670779465806762646567686174660
2Gemel SmithX100.005836895972757658635657615869655820600
MOYENNE D'ÉQUIPE100.00704182727682827059736973667473617471
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 Murray100.00939492829291939291939269736280870
2Corey Crawford100.00868381848584868584868585893781830
Rayé
MOYENNE D'ÉQUIPE100.0090898783898890898890897781508185
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'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
1Sean CouturierMinnesota WildC402631572020251211624012016.05%895623.91311143815302231653355.61%107900021.1912000723
2Gabriel LandeskogMinnesota WildLW492328511450101401331884512112.23%9113823.22610164518320271896149.28%48300000.9013011742
3Drew DoughtyMinnesota WildD50641471511515144507521518.00%66120324.072911521900112135000.00%000000.7800011224
4Sebastian AhoMinnesota WildC/LW50142943416070142122459611.48%897019.41513183818100011185048.24%107800000.8901000323
5Michael GrabnerMinnesota WildLW/RW5019193861404770162309211.73%578915.78281028148000002146.03%6300010.9600000351
6Filip ForsbergMinnesota WildLW/RW5010263693208267181491055.52%6104820.973710461860000961141.48%13500000.6922000133
7Andy GreeneMinnesota WildD509202916120395664214214.06%92126725.35628371920000169000.00%000000.4600000221
8Justin FaulkMinnesota WildD5062228222080457121278.45%55107521.5231013361780111153210.00%000000.5200000115
9Max DomiMinnesota WildC/LW5010142452810713793266410.75%469313.86471118114000035040.91%8800000.6911011401
10Frans NielsenMinnesota WildC5391524-1510027173140321016.43%21110820.910443114602212162153.10%156500010.4316000111
11Darnell NurseMinnesota WildD508101806151204271233711.27%88108421.698210501790000147200.00%000000.3300010101
12Travis ZajacMinnesota WildC48711185200401097633679.21%760312.580224430002300156.20%65300000.6001000101
13Andreas JohnssonMinnesota WildLW/RW4789170275503380175810.00%369714.84426141010000142038.89%5400000.4900001001
14Ondrej KaseMinnesota WildLW/RW48691514014457313588.22%253911.24011260001390232.93%8200000.5600000020
15Jason DemersMinnesota WildD501111231553637171095.88%3370914.1800000000067010.00%000000.3400010010
16Jack RoslovicMinnesota WildC/RW492810160913268257.69%23557.2600001000080038.24%3400000.5600000001
17Brooks OrpikMinnesota WildD501782762011035203185.00%3568113.6300018000015000.00%000000.2300121100
18Jordan WealMinnesota WildC/LW50437-160327475258.51%33366.7200000000032050.00%3000000.4200000000
19Lucas WallmarkMinnesota WildC38213-36043251731511.76%22606.8500000000000047.01%26800000.2300000000
20Sebastien AhoWild (Min)D11033-5100963140.00%815414.0500000000010000.00%000000.3900000010
21Gemel SmithMinnesota WildC8000-100101000.00%0577.140000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne9411713174887853270116012661689446113510.12%4571573116.7246881344402016268181587321251.30%561200040.62616175342628
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 Wild40281200.8972.7423436210710420300.66734010240
2Corey CrawfordMinnesota Wild126130.9132.4768121283210100.77891040030
Stats d'équipe Total ou en Moyenne52341330.9012.6830248313513630400.750125050270


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 Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andreas JohnssonMinnesota WildLW/RW241994-11-21No181 Lbs5 ft10NoNoNo2Pro & Farm300,000$300,000$109,091$No300,000$Lien
Andy GreeneMinnesota WildD361982-10-30No190 Lbs5 ft11NoNoNo1Pro & Farm1,600,000$1,600,000$581,818$NoLien
Brooks OrpikMinnesota WildD381980-09-26No217 Lbs6 ft3NoNoNo2Pro & Farm1,040,000$1,040,000$378,182$No1,040,000$Lien
Corey CrawfordMinnesota WildG341984-12-31No216 Lbs6 ft2NoNoNo1Pro & Farm3,000,000$3,000,000$1,090,909$NoLien
Darnell NurseMinnesota WildD241995-02-04No221 Lbs6 ft4NoNoNo1Pro & Farm900,000$900,000$327,273$NoLien
Drew DoughtyMinnesota WildD291989-12-08No202 Lbs6 ft1NoNoNo1Pro & Farm5,000,000$5,000,000$1,818,182$NoLien
Filip ForsbergMinnesota WildLW/RW241994-08-13No205 Lbs6 ft1NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Frans NielsenMinnesota WildC351984-04-24No188 Lbs6 ft1NoNoNo1Pro & Farm2,500,000$2,500,000$909,091$NoLien
Gabriel LandeskogMinnesota WildLW261992-11-23No215 Lbs6 ft1NoNoNo1Pro & Farm3,500,000$3,500,000$1,272,727$NoLien
Gemel SmithMinnesota WildC251994-04-16No195 Lbs5 ft11NoNoNo4Pro & Farm300,000$300,000$109,091$No300,000$300,000$300,000$Lien
Jack RoslovicMinnesota WildC/RW221997-01-29No187 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$181,818$No500,000$Lien
Jason DemersMinnesota WildD311988-06-09No195 Lbs6 ft1NoNoNo2Pro & Farm2,500,000$2,500,000$909,091$No2,500,000$Lien
Jordan WealMinnesota WildC/LW271992-04-15No179 Lbs5 ft10NoNoNo2Pro & Farm1,000,000$1,000,000$363,636$No1,000,000$Lien
Justin FaulkMinnesota WildD271992-03-20No217 Lbs6 ft0NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Lucas WallmarkMinnesota WildC231995-09-05No178 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$181,818$No500,000$Lien
Matt MurrayMinnesota WildG251994-05-25No178 Lbs6 ft4NoNoNo4Pro & Farm3,000,000$3,000,000$1,090,909$No3,000,000$3,000,000$3,000,000$Lien
Max DomiMinnesota WildC/LW241995-03-02No193 Lbs5 ft10NoNoNo1Pro & Farm900,000$900,000$327,273$NoLien
Michael GrabnerMinnesota WildLW/RW311987-10-05No188 Lbs6 ft1NoNoNo1Pro & Farm3,500,000$3,500,000$1,272,727$NoLien
Ondrej KaseMinnesota WildLW/RW231995-11-08No186 Lbs5 ft11NoNoNo1Pro & Farm300,000$300,000$109,091$NoLien
Sean CouturierMinnesota WildC261992-12-07No211 Lbs6 ft3NoNoNo1Pro & Farm2,800,000$2,800,000$1,018,182$NoLien
Sebastian AhoMinnesota WildC/LW211997-07-26No176 Lbs6 ft0NoNoNo2Pro & Farm900,000$900,000$327,273$No900,000$Lien
Travis ZajacMinnesota WildC341985-05-13No185 Lbs6 ft2NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2227.68196 Lbs6 ft11.732,024,545$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
44,540,000$20,540,000$3,300,000$3,300,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel LandeskogSean CouturierFilip Forsberg40122
2Michael GrabnerSebastian AhoAndreas Johnsson30122
3Max DomiTravis ZajacOndrej Kase20122
4Jordan WealFrans NielsenJack Roslovic10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Drew DoughtyAndy Greene40122
2Justin FaulkDarnell Nurse30122
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
2Justin FaulkDarnell Nurse40122
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
2Justin FaulkDarnell Nurse40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Gabriel Landeskog60122Drew DoughtyAndy Greene60122
2Sean Couturier40122Justin FaulkDarnell Nurse40122
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
2Justin FaulkDarnell Nurse40122
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, Frans NielsenTravis Zajac, Max DomiFrans Nielsen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brooks Orpik, Jason Demers, Justin FaulkBrooks OrpikJason Demers, Justin Faulk
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 Ducks22000000422110000002111100000021141.0004711002200521821130471714526116.67%7185.71%0907178950.70%845167050.60%40275453.32%503443142613
2Boston Bruins1000010023-1000000000001000010023-110.5002350020003181481366620300.00%3166.67%0907178950.70%845167050.60%40275453.32%2316257136
3Buffalo Sabres1010000016-5000000000001010000016-500.0001230001002961211037118195120.00%4175.00%0907178950.70%845167050.60%40275453.32%2216256115
4Calgary Flames3210000014113211000009721100000054140.66714253900653010439343109133247522731.82%10280.00%0907178950.70%845167050.60%40275453.32%785564213719
5Carolina Hurricanes22000000743110000005321100000021141.00071219003130632918160432016459444.44%7185.71%0907178950.70%845167050.60%40275453.32%523743142412
6Chicago Blackhawks1010000002-2000000000001010000002-200.00000000000024571202813822400.00%4175.00%0907178950.70%845167050.60%40275453.32%2013266126
7Colorado Avalanche3210000012111110000004312110000088040.6671219310056108222243608825697213215.38%13469.23%0907178950.70%845167050.60%40275453.32%694870223919
8Dallas Stars320000101367210000108531100000051461.0001321340032719835312957720376911218.18%10280.00%0907178950.70%845167050.60%40275453.32%684677223819
9Detroit Red Wings11000000532110000005320000000000021.00051015003110421891502246193266.67%30100.00%1907178950.70%845167050.60%40275453.32%2417226126
10Edmonton Oilers21000100660210001006600000000000030.7506111700321069272120163121449300.00%5260.00%0907178950.70%845167050.60%40275453.32%503746142412
11Florida Panthers2010010036-31000010034-11010000002-210.25036900102053211614244161934900.00%8187.50%0907178950.70%845167050.60%40275453.32%483148162613
12Los Angeles Kings21001000945110000006241000100032141.00091827003141792624263502212497228.57%6266.67%0907178950.70%845167050.60%40275453.32%513545122412
13Montreal Canadiens22000000725110000004221100000030341.000712190122306120291204816254210330.00%9188.89%0907178950.70%845167050.60%40275453.32%483145152613
14Nashville Predators2200000010730000000000022000000107341.0001019290060406621202504417184410220.00%9277.78%0907178950.70%845167050.60%40275453.32%564039132412
15New Jersey Devils1010000034-1000000000001010000034-100.00036900201019568035141625100.00%8362.50%0907178950.70%845167050.60%40275453.32%1912267136
16New York Islanders11000000202110000002020000000000021.000246011010279810033914304125.00%70100.00%0907178950.70%845167050.60%40275453.32%2316247125
17New York Rangers11000000541000000000001100000054121.00051015001400361214100391217296233.33%60100.00%0907178950.70%845167050.60%40275453.32%2215247125
18Ottawa Senators220000001156110000005321100000062441.0001120310072207930252403316164117635.29%7271.43%0907178950.70%845167050.60%40275453.32%604535132312
19Philadelphia Flyers11000000532110000005320000000000021.000591400221042151980247717500.00%10100.00%0907178950.70%845167050.60%40275453.32%2719217116
20Phoenix Coyotes321000001011-1110000003212110000079-240.66710182800262010128343908225287712433.33%80100.00%0907178950.70%845167050.60%40275453.32%725273203417
21Pittsburgh Penguins2020000047-31010000023-11010000024-200.00048120021104424164056171837700.00%8187.50%0907178950.70%845167050.60%40275453.32%452948142513
22San Jose Sharks11000000413000000000001100000041321.0004610002020397122002346281317.69%30100.00%1907178950.70%845167050.60%40275453.32%2415218146
23St. Louis Blues211000008711010000056-11100000031220.50081523004400662021250621926569444.44%13284.62%0907178950.70%845167050.60%40275453.32%463148152512
24Tampa Bay Lightning20101000550100010003211010000023-120.5005914001121501712165642227446116.67%11190.91%0907178950.70%845167050.60%40275453.32%443051152512
25Toronto Maple Leafs211000003301010000002-21100000031220.50035800012049151321056152946500.00%100100.00%0907178950.70%845167050.60%40275453.32%463247152512
Total502913023301691353424155012108664222614801120837112710.710169299468037147468156953550551129136342952411502234620.63%2003483.00%2907178950.70%845167050.60%40275453.32%12208451172368634319
27Vancouver Canucks1010000016-51010000016-50000000000000.00012300100029871403481417300.00%7271.43%0907178950.70%845167050.60%40275453.32%2112257136
28Vegas Golden Knights10000010321000000000001000001032121.00034700011332910118268819400.00%2150.00%0907178950.70%845167050.60%40275453.32%2417267146
29Winnipeg Jets320000101248220000008171000001043161.0001218300172221034128334782122731616.25%11190.91%0907178950.70%845167050.60%40275453.32%755273233618
_Since Last GM Reset502913023301691353424155012108664222614801120837112710.710169299468037147468156953550551129136342952411502234620.63%2003483.00%2907178950.70%845167050.60%40275453.32%12208451172368634319
_Vs Conference29186011301068026149300110523913159301020544113450.776106183289014431277944306294334217932443007021332619.55%1082279.63%1907178950.70%845167050.60%40275453.32%709493681211366184
_Vs Division149300020553718641000102515108520001030228220.78655921470125141434391441311609377115180336631117.46%601280.00%0907178950.70%845167050.60%40275453.32%33623333510417788

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5071W116929946815691363429524115003
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5029132330169135
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2415512108664
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2614811208371
Derniers 10 Matchs
WLOTWOTL SOWSOL
431110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2234620.63%2003483.00%2
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
535505511297147468
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
907178950.70%845167050.60%40275453.32%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12208451172368634319


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
2 - 2019-09-039Minnesota Wild6Nashville Predators5WSommaire du Match
4 - 2019-09-0527Minnesota Wild7Colorado Avalanche3WSommaire du Match
9 - 2019-09-1053Minnesota Wild4Winnipeg Jets3WXXSommaire du Match
11 - 2019-09-1271Pittsburgh Penguins3Minnesota Wild2LSommaire du Match
13 - 2019-09-1479Minnesota Wild6Ottawa Senators2WSommaire du Match
14 - 2019-09-1585Minnesota Wild3Toronto Maple Leafs1WSommaire du Match
16 - 2019-09-1799Minnesota Wild3Montreal Canadiens0WSommaire du Match
19 - 2019-09-20125Montreal Canadiens2Minnesota Wild4WSommaire du Match
21 - 2019-09-22139Edmonton Oilers2Minnesota Wild1LXSommaire du Match
23 - 2019-09-24150Minnesota Wild4Nashville Predators2WSommaire du Match
25 - 2019-09-26167Los Angeles Kings2Minnesota Wild6WSommaire du Match
28 - 2019-09-29186Minnesota Wild5Dallas Stars1WSommaire du Match
29 - 2019-09-30190Minnesota Wild3St. Louis Blues1WSommaire du Match
32 - 2019-10-03213St. Louis Blues6Minnesota Wild5LSommaire du Match
35 - 2019-10-06233Minnesota Wild2Anaheim Ducks1WSommaire du Match
37 - 2019-10-08247Minnesota Wild4San Jose Sharks1WSommaire du Match
39 - 2019-10-10259Minnesota Wild3Phoenix Coyotes7LSommaire du Match
42 - 2019-10-13279Minnesota Wild3Los Angeles Kings2WXSommaire du Match
44 - 2019-10-15289Phoenix Coyotes2Minnesota Wild3WSommaire du Match
46 - 2019-10-17299Carolina Hurricanes3Minnesota Wild5WSommaire du Match
49 - 2019-10-20318Minnesota Wild1Buffalo Sabres6LSommaire du Match
51 - 2019-10-22340Colorado Avalanche3Minnesota Wild4WSommaire du Match
53 - 2019-10-24353Minnesota Wild2Boston Bruins3LXSommaire du Match
55 - 2019-10-26366Minnesota Wild5New York Rangers4WSommaire du Match
56 - 2019-10-27375Minnesota Wild3New Jersey Devils4LSommaire du Match
59 - 2019-10-30395Ottawa Senators3Minnesota Wild5WSommaire du Match
61 - 2019-11-01416Dallas Stars2Minnesota Wild4WSommaire du Match
63 - 2019-11-03426Minnesota Wild0Florida Panthers2LSommaire du Match
65 - 2019-11-05440Minnesota Wild2Tampa Bay Lightning3LSommaire du Match
67 - 2019-11-07459Minnesota Wild2Carolina Hurricanes1WSommaire du Match
70 - 2019-11-10476Anaheim Ducks1Minnesota Wild2WSommaire du Match
72 - 2019-11-12493Edmonton Oilers4Minnesota Wild5WSommaire du Match
74 - 2019-11-14507Philadelphia Flyers3Minnesota Wild5WSommaire du Match
75 - 2019-11-15516Minnesota Wild0Chicago Blackhawks2LSommaire du Match
77 - 2019-11-17533Minnesota Wild3Vegas Golden Knights2WXXSommaire du Match
79 - 2019-11-19546Minnesota Wild4Phoenix Coyotes2WSommaire du Match
81 - 2019-11-21554Winnipeg Jets1Minnesota Wild2WSommaire du Match
83 - 2019-11-23570Calgary Flames5Minnesota Wild4LSommaire du Match
87 - 2019-11-27586Minnesota Wild1Colorado Avalanche5LSommaire du Match
89 - 2019-11-29605New York Islanders0Minnesota Wild2WSommaire du Match
91 - 2019-12-01616Toronto Maple Leafs2Minnesota Wild0LSommaire du Match
95 - 2019-12-05643Winnipeg Jets0Minnesota Wild6WSommaire du Match
96 - 2019-12-06656Calgary Flames2Minnesota Wild5WSommaire du Match
100 - 2019-12-10685Minnesota Wild5Calgary Flames4WSommaire du Match
103 - 2019-12-13704Vancouver Canucks6Minnesota Wild1LSommaire du Match
105 - 2019-12-15718Minnesota Wild2Pittsburgh Penguins4LSommaire du Match
107 - 2019-12-17736Tampa Bay Lightning2Minnesota Wild3WXSommaire du Match
109 - 2019-12-19753Dallas Stars3Minnesota Wild4WXXSommaire du Match
111 - 2019-12-21760Florida Panthers4Minnesota Wild3LXSommaire du Match
113 - 2019-12-23767Detroit Red Wings3Minnesota Wild5WSommaire du Match
123 - 2020-01-02802Boston Bruins-Minnesota Wild-
126 - 2020-01-05821Chicago Blackhawks-Minnesota Wild-
128 - 2020-01-07835Vancouver Canucks-Minnesota Wild-
129 - 2020-01-08842Minnesota Wild-Dallas Stars-
131 - 2020-01-10859Colorado Avalanche-Minnesota Wild-
133 - 2020-01-12871Vegas Golden Knights-Minnesota Wild-
135 - 2020-01-14887New York Rangers-Minnesota Wild-
137 - 2020-01-16899San Jose Sharks-Minnesota Wild-
141 - 2020-01-20932Minnesota Wild-Vancouver Canucks-
143 - 2020-01-22946Minnesota Wild-Edmonton Oilers-
145 - 2020-01-24964St. Louis Blues-Minnesota Wild-
147 - 2020-01-26978Columbus Blue Jackets-Minnesota Wild-
149 - 2020-01-28989Minnesota Wild-Detroit Red Wings-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29995Minnesota Wild-Columbus Blue Jackets-
152 - 2020-01-311014Washington Capitals-Minnesota Wild-
154 - 2020-02-021023Nashville Predators-Minnesota Wild-
156 - 2020-02-041042Minnesota Wild-San Jose Sharks-
158 - 2020-02-061052Minnesota Wild-Los Angeles Kings-
159 - 2020-02-071063Minnesota Wild-Anaheim Ducks-
163 - 2020-02-111089Vegas Golden Knights-Minnesota Wild-
165 - 2020-02-131098Minnesota Wild-Philadelphia Flyers-
166 - 2020-02-141116Nashville Predators-Minnesota Wild-
168 - 2020-02-161127Chicago Blackhawks-Minnesota Wild-
170 - 2020-02-181143Minnesota Wild-Chicago Blackhawks-
171 - 2020-02-191148Minnesota Wild-Winnipeg Jets-
174 - 2020-02-221172Colorado Avalanche-Minnesota Wild-
177 - 2020-02-251198New Jersey Devils-Minnesota Wild-
179 - 2020-02-271213Buffalo Sabres-Minnesota Wild-
180 - 2020-02-281220Minnesota Wild-St. Louis Blues-
182 - 2020-03-011229Minnesota Wild-New York Islanders-
184 - 2020-03-031248Minnesota Wild-Washington Capitals-
186 - 2020-03-051267Minnesota Wild-Nashville Predators-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance138,218117,72346,27193,11823,118
Attendance PCT95.98%98.10%96.40%97.00%96.33%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
17 17435 - 96.86% 616,051$14,785,217$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
28,674,630$ 44,540,000$ 21,996,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
44,540,000$ 28,004,624$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
10,472,862$ 68 243,529$ 16,559,972$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
16,991,447$ 44,540,000$ 59,235,519$ 52,716,934$



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:68
Jordan WealAGE:27PO:56OV:65
Mackenzie MacEachernAGE:25PO:64OV:61
Sean CouturierAGE:26PO:74OV:76
Sebastian AhoAGE:21PO:74OV:73
Travis ZajacAGE:34PO:53OV:73
Max DomiAGE:24PO:83OV:70
Frans NielsenAGE:35PO:39OV:69
Lucas WallmarkAGE:23PO:61OV:66
Jack RoslovicAGE:22PO:81OV:65
Jordan WealAGE:27PO:56OV:65
Phil VaroneAGE:28PO:52OV:63
Gemel SmithAGE:25PO:58OV:60
Adam BrooksAGE:23PO:62OV:59
Filip ForsbergAGE:24PO:82OV:74
Michael GrabnerAGE:31PO:52OV:70
Andreas JohnssonAGE:24PO:63OV:69
Ondrej KaseAGE:23PO:48OV:68
Jack RoslovicAGE:22PO:81OV:65
Steve BernierAGE:34PO:51OV:64
*Vitaly AbramovAGE:21PO:80OV:60
Nicholas BaptisteAGE:23PO:65OV:60
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:74
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:64
Rinat ValievAGE:24PO:65OV:63
Sebastien AhoAGE:23PO:56OV:62
Ludwig BystromAGE:24PO:71OV:61
Matt MurrayAGE:25PO:62OV:87
Corey CrawfordAGE:34PO:37OV:83
Anders NilssonAGE:29PO:55OV:82
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
16Min Phi Min MTL
17Bos MTL Min Min
18Min Min Min Col
19Min Min Min Min Min



[2020-01-08 09:34:32] - TRADE : From Vegas Golden Knights to Minnesota Wild : Frans Nielsen (69).
[2020-01-08 09:34:32] - TRADE : From Minnesota Wild to Vegas Golden Knights : Y:16-RND:4-Bos, Y:15-RND:6-Min.
[2020-01-05 05:13:23] - TRADE : From Minnesota Wild to Nashville Predators : Jeff Carter (72).
[2020-01-05 05:13:23] - TRADE : From Nashville Predators to Minnesota Wild : Sebastien Aho (62), Y:16-RND:3-Min.
[2019-12-02 09:19:28] - TRADE : From Minnesota Wild to Montreal Canadiens : Mikkel Boedker (68), Y:16-RND:3-Dal.
[2019-12-02 09:19:28] - TRADE : From Montreal Canadiens to Minnesota Wild : Jeff Carter (72).
[2019-11-04 05:08:40] - TRADE : From Minnesota Wild to Chicago Blackhawks : Y:19-RND:6-Min.
[2019-11-04 05:08:40] - TRADE : From Chicago Blackhawks to Minnesota Wild : Mikkel Boedker (68).
[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.



[2020-01-27 20:59:33] Successfully loaded Minnesota Wild lines done with STHS Client - 3.2.0.5
[2020-01-21 07:52:49] Last 7 Days Farm Star : 1 - Mackenzie MacEachern of Wild (5-4-9) / 2 - Ben Street of Rampage (3-3-6) / 3 - Maxime Lagace of Heat (0,949)
[2020-01-20 07:41:57] Mackenzie MacEachern from Wild has scored a Hat Trick!
[2020-01-17 05:11:21] Successfully loaded Minnesota Wild lines done with STHS Client - 3.2.0.5
[2020-01-11 10:09:03] Successfully loaded Minnesota Wild lines done with STHS Client - 3.2.0.5
[2020-01-09 08:14:18] Sean Couturier from Minnesota Wild has scored a Hat Trick!
[2020-01-09 08:13:30] Auto Lines Partial Function has been run for Minnesota Wild.
[2020-01-09 08:13:30] Auto Roster Partial Function has been run for Minnesota Wild.
[2020-01-08 09:34:32] TRADE : From Vegas Golden Knights to Minnesota Wild : Frans Nielsen (69).
[2020-01-08 09:34:32] TRADE : From Minnesota Wild to Vegas Golden Knights : Y:16-RND:4-Bos, Y:15-RND:6-Min.
[2020-01-07 08:27:19] Last 7 Days Pro Star : 1 - Kris Letang of Phoenix Coyotes (4-2-6) / 2 - Sean Couturier of Minnesota Wild (3-4-7) / 3 - Cam Atkinson of Pittsburgh Penguins (4-3-7)
[2020-01-07 08:26:19] Successfully loaded Minnesota Wild lines done with STHS Client - 3.2.0.5
[2020-01-05 05:13:23] TRADE : From Minnesota Wild to Nashville Predators : Jeff Carter (72).
[2020-01-05 05:13:23] TRADE : From Nashville Predators to Minnesota Wild : Sebastien Aho (62), Y:16-RND:3-Min.
[2020-01-05 05:11:51] Filip Forsberg from Minnesota Wild is back from Left Knee Injury.
[2020-01-05 05:11:51] Game 656 - Filip Forsberg from Minnesota Wild is injured (Left Knee) and is out for 3 days.
[2020-01-04 05:16:02] Sean Couturier from Minnesota Wild has scored a Hat Trick!
[2020-01-03 05:43:46] Successfully loaded Minnesota Wild lines done with STHS Client - 3.2.0.5
[2020-01-01 12:06:50] Sean Couturier from Minnesota Wild is back from Broken Bone (Left Arm) Injury.
[2019-12-30 14:00:41] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[2019-12-27 07:38:03] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[2019-12-18 07:39:54] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[2019-12-16 15:53:48] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[2019-12-15 09:12:57] Auto Lines Partial Function has been run for Minnesota Wild.
[2019-12-15 09:12:57] Auto Roster Partial Function has been run for Minnesota Wild.



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
1450291302330169135342415501210866422261480112083711271169299468037147468156953550551129136342952411502234620.63%2003483.00%2907178950.70%845167050.60%40275453.32%12208451172368634319
Total Saison Régulière50291302330169135342415501210866422261480112083711271169299468037147468156953550551129136342952411502234620.63%2003483.00%2907178950.70%845167050.60%40275453.32%12208451172368634319