Minnesota Wild

GP: 30 | W: 21 | L: 7 | OTL: 2 | P: 44
GF: 107 | GA: 80 | PP%: 21.64% | PK%: 84.13%
DG: Kevin Bourassa | Morale : 69 | Moyenne d'Équipe : 72
Prochain matchs #476 vs Anaheim Ducks
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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)X100.008147768280878678727981767574917769760
2Sean CouturierX100.006339827986889378888179847673727464760
3Filip ForsbergXX100.007738828079847778527982738169768276740
4Sebastian AhoXX100.006638857770869576798278718063697476730
5Jeff CarterX100.007341817287838971837273747084754653720
6Max DomiXX100.006355677869839576777971587367668373700
7Michael GrabnerXX100.006637898075775473546674837180735276700
8Andreas JohnssonXX100.006439837667758673537274657169686362690
9Ondrej KaseXX100.005735907670805074537277627367664862670
10Jack RoslovicXX100.005735946875659066776964616865628176650
11Jordan WealXX100.005438886766747665796663686573685676650
12Drew Doughty (C)X100.008340767778939576308469776378767369760
13Andy GreeneX100.007037886470879563307259935187922976750
14Darnell NurseX100.008561696791929465307766805467658573740
15Justin Faulk (A)X100.008346767478899573307669725873806476740
16Brooks OrpikX100.009051726187806659306854825089793276710
17Jason DemersX100.007438806376855061307262785179733873680
Rayé
1Travis ZajacX91.066937857277859371867270836984775366730
2Gemel SmithX100.005836895972757658635657615869655837600
MOYENNE D'ÉQUIPE99.53704182727683827058737074667473616971
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 Murray100.00939492829291939291939269736271860
2Corey Crawford100.00868381848584868584868585893776830
Rayé
MOYENNE D'ÉQUIPE100.0090898783898890898890897781507485
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
1Sean CouturierMinnesota WildC2818183611201871106298316.98%666623.812792611001121192254.92%73200001.0801000422
2Gabriel LandeskogMinnesota WildLW29131831103558671110337311.82%666322.883692310710141104048.84%30300000.9311001332
3Drew DoughtyMinnesota WildD30229311365585273813285.26%4671723.9115630113011286000.00%000000.8600010214
4Sebastian AhoMinnesota WildC/LW3082028660468271215711.27%158119.382810251090001754048.13%64200000.9600000221
5Michael GrabnerMinnesota WildLW/RW30121123780294489155213.48%445815.29145775000000054.29%3500011.0000000131
6Andy GreeneMinnesota WildD30614201480213139152715.38%6776025.34325231160000104000.00%000000.5300000120
7Jeff CarterMinnesota WildC30109197100357181205612.35%556118.71235201040001882058.70%64400000.6802000212
8Max DomiMinnesota WildC/LW30811193175402365124012.31%339913.302791265000034039.13%6900000.9500010401
9Filip ForsbergMinnesota WildLW/RW30513186220503711829604.24%162320.80358331140000470045.83%9600000.5811000111
10Justin FaulkMinnesota WildD30511164120483049121510.20%3765221.7635826105000195210.00%000000.4900000013
11Andreas JohnssonMinnesota WildLW/RW276713723532185083412.00%243616.173141176000061027.59%2900000.6000001001
12Travis ZajacMinnesota WildC3067137180286344174113.64%132810.95000060002130157.10%33800000.7900000101
13Ondrej KaseMinnesota WildLW/RW28571242011224453311.36%232311.54011260001310133.33%6900000.7400000010
14Darnell NurseMinnesota WildD3065112375782736132516.67%5065521.8761726106000092200.00%000000.3400010100
15Brooks OrpikMinnesota WildD30066152106118123130.00%1840113.400001700006000.00%000000.3000110100
16Jason DemersMinnesota WildD30156095222376514.29%2141713.9200000000038010.00%000000.2900010010
17Jack RoslovicMinnesota WildC/RW30235-120581761411.76%02297.6600000000060020.00%2000000.4400000001
18Jordan WealMinnesota WildC/LW30235-460315234208.70%12046.8300000000021046.67%1500000.4900000000
19Lucas WallmarkWild (Min)C27112-240311813397.69%21776.5800000000000044.90%19600000.2300000000
20Gemel SmithMinnesota WildC8000-100101000.00%0577.140000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne5671161983149433840730699101326468511.45%273931816.4331558626512261231493022651.76%318800010.6725152231820
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 Wild2418600.8932.76141140656080200.6673246110
2Corey CrawfordMinnesota Wild73120.9272.2639821152050100.0000624030
Stats d'équipe Total ou en Moyenne3121720.9022.65180961808130300.66733030140


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$189,305$NoLien
Andy GreeneMinnesota WildD361982-10-30No190 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm1,600,000$1,600,000$1,009,626$NoLien
Brooks OrpikMinnesota WildD381980-09-26No217 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm1,040,000$1,040,000$656,257$NoLien
Corey CrawfordMinnesota WildG341984-12-31No216 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm3,000,000$3,000,000$1,893,048$NoLien
Darnell NurseMinnesota WildD241995-02-04No221 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm900,000$900,000$567,914$NoLien
Drew DoughtyMinnesota WildD291989-12-08No202 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$3,155,080$NoLien
Filip ForsbergMinnesota WildLW/RW241994-08-13No205 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Gabriel LandeskogMinnesota WildLW261992-11-23No215 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Gemel SmithMinnesota WildC251994-04-16No195 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$300,000$189,305$NoLien
Jack RoslovicMinnesota WildC/RW221997-01-29No187 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm500,000$500,000$315,508$NoLien
Jason DemersMinnesota WildD311988-06-09No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Jeff CarterMinnesota WildC341985-01-01No219 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$3,155,080$NoLien
Jordan WealMinnesota WildC/LW271992-04-15No179 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$631,016$NoLien
Justin FaulkMinnesota WildD271992-03-20No217 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Matt MurrayMinnesota WildG251994-05-25No178 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm3,000,000$3,000,000$1,893,048$NoLien
Max DomiMinnesota WildC/LW241995-03-02No193 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm900,000$900,000$567,914$NoLien
Michael GrabnerMinnesota WildLW/RW311987-10-05No188 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Ondrej KaseMinnesota WildLW/RW231995-11-08No186 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$300,000$189,305$NoLien
Sean CouturierMinnesota WildC261992-12-07No211 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm2,800,000$2,800,000$1,766,845$NoLien
Sebastian AhoMinnesota WildC/LW211997-07-26No176 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$567,914$NoLien
Travis Zajac (Sur la Masse Salariale)Minnesota WildC341985-05-13No185 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,500,000$0$0$YesLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2127.86198 Lbs6 ft11.712,216,190$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
46,540,000$20,040,000$3,300,000$3,300,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel LandeskogSean CouturierFilip Forsberg40122
2Max DomiSebastian AhoMichael Grabner30122
3Andreas JohnssonOndrej Kase20122
4Jordan WealJeff CarterJack 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
2Max DomiSebastian AhoMichael Grabner40122
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
, Jeff Carter, Andreas Johnsson, Jeff CarterAndreas Johnsson
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,
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 Ducks11000000211000000000001100000021121.000235001100249123030118262150.00%40100.00%0542107250.56%512103049.71%23345551.21%2415227137
2Boston Bruins1000010023-1000000000001000010023-110.5002350020003181481366620300.00%3166.67%0542107250.56%512103049.71%23345551.21%2316257136
3Buffalo Sabres1010000016-5000000000001010000016-500.0001230001002961211037118195120.00%4175.00%0542107250.56%512103049.71%23345551.21%2216256115
4Carolina Hurricanes22000000743110000005321100000021141.00071219003130632918160432016459444.44%7185.71%0542107250.56%512103049.71%23345551.21%523743142412
5Colorado Avalanche220000001165110000004311100000073441.000111728005510631812330601956558112.50%10370.00%0542107250.56%512103049.71%23345551.21%463146152612
6Dallas Stars22000000936110000004221100000051441.00091524003150662921160421225426116.67%50100.00%0542107250.56%512103049.71%23345551.21%453049132513
7Edmonton Oilers1000010012-11000010012-10000000000010.50012300010031101191409825200.00%30100.00%0542107250.56%512103049.71%23345551.21%2417257126
8Florida Panthers1010000002-2000000000001010000002-200.000000000000197480217621500.00%3166.67%0542107250.56%512103049.71%23345551.21%2214238137
9Los Angeles Kings21001000945110000006241000100032141.00091827003141792624263502212497228.57%6266.67%0542107250.56%512103049.71%23345551.21%513545122412
10Montreal Canadiens22000000725110000004221100000030341.000712190122306120291204816254210330.00%9188.89%0542107250.56%512103049.71%23345551.21%483145152613
11Nashville Predators2200000010730000000000022000000107341.0001019290060406621202504417184410220.00%9277.78%0542107250.56%512103049.71%23345551.21%564039132412
12New Jersey Devils1010000034-1000000000001010000034-100.00036900201019568035141625100.00%8362.50%0542107250.56%512103049.71%23345551.21%1912267136
13New York Rangers11000000541000000000001100000054121.00051015001400361214100391217296233.33%60100.00%0542107250.56%512103049.71%23345551.21%2215247125
14Ottawa Senators220000001156110000005321100000062441.0001120310072207930252403316164117635.29%7271.43%0542107250.56%512103049.71%23345551.21%604535132312
15Phoenix Coyotes2110000069-3110000003211010000037-420.50061117001410722027250601914458112.50%60100.00%0542107250.56%512103049.71%23345551.21%493648132211
16Pittsburgh Penguins1010000023-11010000023-10000000000000.0002460001101567203281615300.00%7185.71%0542107250.56%512103049.71%23345551.21%2214247126
17San Jose Sharks11000000413000000000001100000041321.0004610002020397122002346281317.69%30100.00%1542107250.56%512103049.71%23345551.21%2415218146
18St. Louis Blues211000008711010000056-11100000031220.50081523004400662021250621926569444.44%13284.62%0542107250.56%512103049.71%23345551.21%463148152512
19Tampa Bay Lightning1010000023-1000000000001010000023-100.00023500110018837029101223300.00%60100.00%0542107250.56%512103049.71%23345551.21%2316237126
20Toronto Maple Leafs11000000312000000000001100000031221.000358000120288713029101728200.00%40100.00%0542107250.56%512103049.71%23345551.21%2315247126
Total301970121010780271072001003928112012501110685216440.73310718929601463029393531530331198132683346981342921.64%1262084.13%1542107250.56%512103049.71%23345551.21%735510695219379192
22Winnipeg Jets10000010431000000000001000001043121.000461000300231164104206620500.00%30100.00%0542107250.56%512103049.71%23345551.21%2517267136
_Since Last GM Reset301970121010780271072001003928112012501110685216440.73310718929601463029393531530331198132683346981342921.64%1262084.13%1542107250.56%512103049.71%23345551.21%735510695219379192
_Vs Conference16112011106443216410010023176107101010412615270.844641121760028171735371761641928431138179390701318.57%62985.48%1542107250.56%512103049.71%23345551.21%393273372115201101
_Vs Division97100010422616321000001311265000010291514160.88942721140021101022921047810942287313121738821.05%40782.50%0542107250.56%512103049.71%23345551.21%2191522106611457

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3044W110718929693581326833469801
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
30197121010780
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
107201003928
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2012511106852
Derniers 10 Matchs
WLOTWOTL SOWSOL
540100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1342921.64%1262084.13%1
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
31530331194630293
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
542107250.56%512103049.71%23345551.21%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
735510695219379192


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 Ducks-Minnesota Wild-
72 - 2019-11-12493Edmonton Oilers-Minnesota Wild-
74 - 2019-11-14507Philadelphia Flyers-Minnesota Wild-
75 - 2019-11-15516Minnesota Wild-Chicago Blackhawks-
77 - 2019-11-17533Minnesota Wild-Vegas Golden Knights-
79 - 2019-11-19546Minnesota Wild-Phoenix Coyotes-
81 - 2019-11-21554Winnipeg Jets-Minnesota Wild-
83 - 2019-11-23570Calgary Flames-Minnesota Wild-
87 - 2019-11-27586Minnesota Wild-Colorado Avalanche-
89 - 2019-11-29605New York Islanders-Minnesota Wild-
91 - 2019-12-01616Toronto Maple Leafs-Minnesota Wild-
95 - 2019-12-05643Winnipeg Jets-Minnesota Wild-
96 - 2019-12-06656Calgary Flames-Minnesota Wild-
100 - 2019-12-10685Minnesota Wild-Calgary Flames-
103 - 2019-12-13704Vancouver Canucks-Minnesota Wild-
105 - 2019-12-15718Minnesota Wild-Pittsburgh Penguins-
107 - 2019-12-17736Tampa Bay Lightning-Minnesota Wild-
109 - 2019-12-19753Dallas Stars-Minnesota Wild-
111 - 2019-12-21760Florida Panthers-Minnesota Wild-
113 - 2019-12-23767Detroit Red Wings-Minnesota Wild-
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
Assistance56,61148,94119,15938,6969,535
Attendance PCT94.35%97.88%95.80%96.74%95.35%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
31 17294 - 96.08% 609,401$6,094,012$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
16,465,554$ 43,040,000$ 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
43,040,000$ 16,062,899$ 0$ 20 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
18,891,437$ 118 235,508$ 27,789,944$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
28,509,069$ 43,040,000$ 63,040,338$ 53,422,706$



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:65
Mackenzie MacEachernAGE:25PO:64OV:61
Sean CouturierAGE:26PO:74OV:76
Sebastian AhoAGE:21PO:74OV:73
Travis ZajacAGE:34PO:53OV:73
Jeff CarterAGE:34PO:46OV:72
Max DomiAGE:24PO:83OV:70
Jack RoslovicAGE:22PO:81OV:65
Lucas WallmarkAGE:23PO:61OV: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: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: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
Ludwig BystromAGE:24PO:71OV:61
Matt MurrayAGE:25PO:62OV:86
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 Min
16Min Phi MTL Bos
17Bos MTL Min Min
18Min Min Min Col
19Min Min Min Min 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.
[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.



[2019-12-07 10:33:48] Game 459 - Travis Zajac from Minnesota Wild is injured (Left Eye) and is out for 1 week.
[2019-12-07 10:30:07] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[2019-12-03 08:31:46] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[2019-12-03 08:31:46] Gustav Forsling of Minnesota Wild was sent down to farm.
[2019-12-03 08:31:46] Lucas Wallmark of Minnesota Wild was sent down to farm.
[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).
[2019-11-30 05:13:55] Last 30 Days Farm Star : 1 - Phil Varone of Wild (15-15-30) / 2 - Oscar Lindberg of Monsters (13-12-25) / 3 - Adam Erne of Heat (14-9-23)
[2019-11-25 13:38:25] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[2019-11-22 15:22:59] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[2019-11-07 05:03:40] Phil Varone from Wild has scored a Hat Trick!
[2019-11-06 04:48:45] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[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).
[2019-11-02 09:40:29] Sean Couturier from Minnesota Wild is back from Bruised Left Leg Injury.
[2019-10-31 10:02:08] Last 30 Days Pro Star : 1 - Sean Couturier of Minnesota Wild (8-13-21) / 2 - Gabriel Landeskog of Minnesota Wild (9-9-18) / 3 - Jakob Silfverberg of Calgary Flames (7-10-17)
[2019-10-31 10:01:39] Successfully loaded Minnesota Wild lines done with STHS Client - 3.1.6.6
[2019-10-30 09:53:39] Game 190 - Sean Couturier from Minnesota Wild is injured (Bruised Left Leg) and is out for 5 days.



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
143019701210107802710720010039281120125011106852164410718929601463029393531530331198132683346981342921.64%1262084.13%1542107250.56%512103049.71%23345551.21%735510695219379192
Total Saison Régulière3019701210107802710720010039281120125011106852164410718929601463029393531530331198132683346981342921.64%1262084.13%1542107250.56%512103049.71%23345551.21%735510695219379192