Winnipeg Jets

GP: 59 | W: 30 | L: 23 | OTL: 6 | P: 66
GF: 183 | GA: 184 | PP%: 22.58% | PK%: 82.08%
DG: Luc Forget | Morale : 51 | Moyenne d'Équipe : 76
Prochain matchs #926 vs Colorado Avalanche
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Claude Giroux (C)XX100.00755585949191969897999297559088146870
2Jordan StaalX100.00975584809696939098818096558083162820
3T.J. OshieX100.00945584928989939080838091558583162820
4James NealXX100.00895584899494898950778886558886153810
5Riley SheahanX100.00815589858787827893777193558076146770
6Vladimir SobotkaX100.00945575807983838384767190558583141760
7Ryan Strome (A)XX100.00775583818686827678777385557170166750
8Drew StaffordXX100.00805578788182757674667279558888163720
9Chris StewartX100.00875572769979737350667172558493180720
10Jori LehteraX100.00785573818182827081646472558482144700
11Daniel CarrXX100.00705580787375717456707068556571165680
12Jordan NolanX100.00825570768585646950636060556668161650
13T.J. BrodieX100.00715596978994969325866595558686169840
14Cody CeciX100.00925598898593958425706592558178165820
15Radko GudasX100.00955571839981868225726282558282157780
16Jonathan EricssonX100.00885582749275857625666389558582167770
17Braydon CoburnX100.00815580789679807825716181558187157760
18Mark BorowieckiX100.00995570719576697525656480558079165740
Rayé
1Michael ChaputX100.00775565757569646174606060555858156620
2Josh GorgesX100.00835579748976826525626075559186132720
MOYENNE D'ÉQUIPE100.0085558082888482795773708255818015876
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
1Marc-Andre Fleury100.0094858993939494939493559698137910
2Michal Neuvirth100.0085728576897984858879558180142800
Rayé
MOYENNE D'ÉQUIPE100.009079878591878989918655898914086
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan67829286786270USA5051,100,000$


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
1Claude GirouxWinnipeg JetsC/LW56304272172410201872376119612.66%13113620.3081018511690000105355.56%151200101.2701101545
2T.J. OshieWinnipeg JetsRW592733601570201301162175015112.44%20144724.534121630185000122766242.86%12600000.8300111458
3James NealWinnipeg JetsLW/RW5924305419561098691815714313.26%9121020.527916401860002632243.96%9100010.8902011324
4T.J. BrodieWinnipeg JetsD591241531132103810196247012.50%96153426.0110818601990001230220.00%000000.6900101221
5Jordan StaalWinnipeg JetsC59172542-144115106151198631518.59%21117819.97512173716800031604154.90%140800000.7102120243
6Riley SheahanWinnipeg JetsC60102131-712104014412041968.33%897516.25410142815400051622152.82%117200000.6401002221
7Vladimir SobotkaWinnipeg JetsLW60111526-10315986112536938.80%1294715.78336187600011053157.32%8200000.5501001114
8Ryan StromeWinnipeg JetsC/RW59101525-9175257197317910.31%882113.9327923151000000043.33%42000000.6100001001
9Radko GudasWinnipeg JetsD5941923-1710210114535114327.84%71118820.15145211500002162010.00%000000.3900200100
10Cody CeciWinnipeg JetsD58514193480994944143511.36%7193816.17112432000092000.00%000000.4100000111
11Jonathan EricssonWinnipeg JetsD5961319-1846106360688358.82%81123820.98167241280001231110.00%000000.3100002111
12Braydon CoburnWinnipeg JetsD56214161224043422313238.70%5580114.3201119000078110.00%000000.4000000100
13Jori LehteraWinnipeg JetsC55741116021453872318.42%43656.6400001000000049.01%35300000.6000000001
14Mark BorowieckiWinnipeg JetsD59010105720124352411190.00%5776512.9800000000040000.00%000000.2600000000
15Drew StaffordWinnipeg JetsLW/RW59369-12201031305928475.08%870411.930000100000561055.00%4000000.2600011010
16Daniel CarrWinnipeg JetsLW/RW59448-580161940122910.00%15489.2900001000001050.00%3000000.2900000000
17Chris StewartWinnipeg JetsRW6161712715331429111120.69%13956.4900000000002139.13%2300000.3500110100
18Jordan NolanWinnipeg JetsRW5422401802914278177.41%03656.7700001000000161.90%2100000.2200000000
19Michael ChaputWinnipeg JetsLW4412322010159124118.33%13026.8800000000000046.43%2800000.2000101000
20Josh GorgesWinnipeg JetsD15022-140341200.00%3795.2800001000018000.00%000000.5000000000
21Filip ChlapikMoose (Wpg)C6011120274130.00%0386.4000000000040044.44%3600000.5200000000
Stats d'équipe Total ou en Moyenne1115181314495-6680140114812811691496126410.70%5401698315.2346831293371630000271695301752.71%534200110.58078612242330
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
1Marc-Andre FleuryWinnipeg Jets51242040.9062.9928684114315170300.66734910463
2Michal NeuvirthWinnipeg Jets156320.8903.3669720393530100.66731048101
Stats d'équipe Total ou en Moyenne66302360.9033.0635656118218700400.66765958564


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
Braydon CoburnWinnipeg JetsD311985-02-26No220 Lbs6 ft5NoNoNo4Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Chris StewartWinnipeg JetsRW291987-10-30No231 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$500,000$129,944$No
Claude GirouxWinnipeg JetsC/LW291988-01-12No172 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$1,689,266$No
Cody CeciWinnipeg JetsD231993-12-21No209 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Daniel CarrWinnipeg JetsLW/RW251991-11-01No194 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$77,966$No
Drew StaffordWinnipeg JetsLW/RW311985-10-30No214 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
James NealWinnipeg JetsLW/RW291987-09-03No208 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Jonathan EricssonWinnipeg JetsD321984-03-02No220 Lbs6 ft4NoNoNo4Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Jordan NolanWinnipeg JetsRW271989-06-23No221 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$500,000$129,944$No
Jordan StaalWinnipeg JetsC281988-09-10No220 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Jori LehteraWinnipeg JetsC291987-12-23No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$500,000$129,944$No
Josh GorgesWinnipeg JetsD321984-08-14No201 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm500,000$500,000$129,944$No
Marc-Andre FleuryWinnipeg JetsG321984-11-28No180 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Mark BorowieckiWinnipeg JetsD271989-07-11No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Michael ChaputWinnipeg JetsLW241992-04-08No197 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$77,966$No
Michal NeuvirthWinnipeg JetsG281988-03-22No209 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,000,000$2,000,000$519,774$No
Radko GudasWinnipeg JetsD261990-06-04No204 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Riley SheahanWinnipeg JetsC251991-12-06No222 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Ryan StromeWinnipeg JetsC/RW231993-11-06No196 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$259,887$No
T.J. BrodieWinnipeg JetsD261990-06-06No182 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
T.J. OshieWinnipeg JetsRW301986-12-22No189 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Vladimir SobotkaWinnipeg JetsLW291987-07-02No196 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2227.95205 Lbs6 ft22.092,118,182$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
46,600,000$32,500,000$17,500,000$2,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1James NealClaude GirouxT.J. Oshie46014
2Vladimir SobotkaJordan StaalRyan Strome32023
3Drew StaffordRiley SheahanChris Stewart15122
4Daniel CarrJori LehteraJordan Nolan7131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cody CeciT.J. Brodie50023
2Jonathan EricssonRadko Gudas33122
3Mark BorowieckiBraydon Coburn12320
4Cody CeciT.J. Brodie5023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1James NealClaude GirouxT.J. Oshie72014
2Vladimir SobotkaJordan StaalRiley Sheahan28113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1T.J. BrodieCody Ceci72005
2Ryan StromeRadko Gudas28113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Riley SheahanT.J. Oshie60131
2Jordan StaalVladimir Sobotka40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1T.J. BrodieCody Ceci60131
2Jonathan EricssonMark Borowiecki40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Riley Sheahan60131Cody CeciJames Neal60131
2Jordan Staal40131T.J. OshieT.J. Brodie40131
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Claude GirouxT.J. Oshie70014
2Jordan StaalJames Neal30014
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cody CeciT.J. Brodie70023
2Jonathan EricssonBraydon Coburn30221
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
James NealClaude GirouxT.J. OshieT.J. BrodieJordan Staal
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Riley SheahanJordan StaalT.J. OshieT.J. BrodieCody Ceci
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
T.J. Oshie, Jordan Staal, Claude GirouxJordan Staal, Claude GirouxRiley Sheahan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
T.J. Brodie, Cody Ceci, Jonathan EricssonT.J. BrodieCody Ceci, T.J. Brodie
Tirs de Pénalité
Claude Giroux, James Neal, Jordan Staal, T.J. Oshie, Ryan Strome
Gardien
#1 : Marc-Andre Fleury, #2 : Michal Neuvirth


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 Ducks2010100067-12010100067-10000000000020.5006814002211722324223591512321317.69%6266.67%01033202251.09%1150214653.59%49290654.30%513544162613
2Boston Bruins11000000422000000000001100000042221.000471100103028101080451012222150.00%60100.00%01033202251.09%1150214653.59%49290654.30%2316237136
3Buffalo Sabres2020000046-21010000012-11010000034-100.0004812001210671532200571723398225.00%9366.67%01033202251.09%1150214653.59%49290654.30%463149142411
4Calgary Flames21001000963100010003211100000064241.00091423003321591720193711518469333.33%8275.00%01033202251.09%1150214653.59%49290654.30%493446142512
5Carolina Hurricanes1000010012-11000010012-10000000000010.5001120010003513811334111624400.00%80100.00%01033202251.09%1150214653.59%49290654.30%2013297125
6Chicago Blackhawks31100100812-42110000058-31000010034-130.5008142200332010440323201002431671119.09%13376.92%01033202251.09%1150214653.59%49290654.30%694674223718
7Colorado Avalanche30300000715-830300000715-80000000000000.0007121900223091223237085195768500.00%20670.00%01033202251.09%1150214653.59%49290654.30%724970203718
8Columbus Blue Jackets11000000413110000004130000000000021.0004711000220348131303271019100.00%40100.00%01033202251.09%1150214653.59%49290654.30%2215247126
9Dallas Stars3120000011921010000034-12110000085320.3331120310062309339252909426326117635.29%16287.50%01033202251.09%1150214653.59%49290654.30%623980233718
10Detroit Red Wings2010100068-21010000036-31000100032120.50061218003201561824122561326379333.33%12466.67%01033202251.09%1150214653.59%49290654.30%483347142311
11Edmonton Oilers31100001141132010000179-21100000072530.5001426400082401003825373893533657342.86%11281.82%01033202251.09%1150214653.59%49290654.30%725174203718
12Florida Panthers22000000523110000002111100000031241.00051015002120461420120541723486116.67%8187.50%01033202251.09%1150214653.59%49290654.30%453048152612
13Los Angeles Kings21001000743110000003121000100043141.0007132000213165231525263153651600.00%60100.00%01033202251.09%1150214653.59%49290654.30%483451142412
14Minnesota Wild311001001216-41010000015-4210001001111030.5001223350025508628233411002847656116.67%15473.33%01033202251.09%1150214653.59%49290654.30%664477223818
15Montreal Canadiens1010000024-2000000000001010000024-200.000246000110239950341114114125.00%7185.71%01033202251.09%1150214653.59%49290654.30%2012267125
16Nashville Predators21001000633000000000002100100063341.0006101600113149161515368303748700.00%8275.00%01033202251.09%1150214653.59%49290654.30%432854152613
17New Jersey Devils2200000012102110000005411100000076141.000122335005520612621140821821417685.71%8362.50%01033202251.09%1150214653.59%49290654.30%443049142613
18New York Islanders1010000023-1000000000001010000023-100.000246001100291310602454195120.00%20100.00%01033202251.09%1150214653.59%49290654.30%2114248137
19New York Rangers2020000048-41010000036-31010000012-100.00047110021105818162405726194210110.00%8275.00%01033202251.09%1150214653.59%49290654.30%493344132513
20Ottawa Senators22000000835110000003121100000052341.00081321001340421410180652346436116.67%130100.00%01033202251.09%1150214653.59%49290654.30%422752162512
21Philadelphia Flyers2110000057-21010000015-41100000042220.5005813004100432091406818264210330.00%13284.62%01033202251.09%1150214653.59%49290654.30%392556162411
22Phoenix Coyotes1010000025-31010000025-30000000000000.0002350011002861210029101722200.00%6183.33%01033202251.09%1150214653.59%49290654.30%2215247125
23Pittsburgh Penguins22000000514110000003031100000021141.000591401041043132280521431339222.22%130100.00%01033202251.09%1150214653.59%49290654.30%463148162512
24San Jose Sharks2020000027-51010000013-21010000014-300.00024600101063251820064102043600.00%9277.78%01033202251.09%1150214653.59%49290654.30%523742142512
25St. Louis Blues431000001064220000004222110000064260.750101929003520115474523012848436618316.67%19289.47%01033202251.09%1150214653.59%49290654.30%966693274926
26Tampa Bay Lightning11000000523110000005230000000000021.00058130040103911131502370147457.14%000.00%01033202251.09%1150214653.59%49290654.30%2720197127
27Toronto Maple Leafs210000017701000000134-11100000043130.75071320002230752523237721332483266.67%8275.00%01033202251.09%1150214653.59%49290654.30%523646132513
Total59252305402183184-13211150220283104-2127148032001008020660.559183325508016657555172259455854927187053674712302174922.58%2795082.08%01033202251.09%1150214653.59%49290654.30%13769371445436747372
29Vancouver Canucks311001001112-11000010034-12110000088030.5001118290053306629132401053139651119.09%12191.67%01033202251.09%1150214653.59%49290654.30%674473213920
30Vegas Golden Knights11000000321110000003210000000000021.0003580002102451090291514245240.00%7185.71%01033202251.09%1150214653.59%49290654.30%2517237115
31Washington Capitals1010000013-21010000013-20000000000000.0001230000102899100315825300.00%4250.00%01033202251.09%1150214653.59%49290654.30%2618206126
_Since Last GM Reset59252305402183184-13211150220283104-2127148032001008020660.559183325508016657555172259455854927187053674712302174922.58%2795082.08%01033202251.09%1150214653.59%49290654.30%13769371445436747372
_Vs Conference34121404301108115-719510021014867-19157402200604812360.52910818929700393233410153583093361510843214367231232117.07%1563080.77%01033202251.09%1150214653.59%49290654.30%799546833250430214
_Vs Division1878012005461-7936000002034-149420120034277180.50054981520017181815381921721704575175247375641117.19%911979.12%01033202251.09%1150214653.59%49290654.30%410275451132227112

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5966W118332550817221870536747123001
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5925235402183184
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321115220283104
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
27148320010080
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2174922.58%2795082.08%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
594558549276657555
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
1033202251.09%1150214653.59%49290654.30%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13769371445436747372


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 - 2018-09-0613Winnipeg Jets6St. Louis Blues3WSommaire du Match
4 - 2018-09-0821Winnipeg Jets5Dallas Stars1WSommaire du Match
7 - 2018-09-1141Los Angeles Kings1Winnipeg Jets3WSommaire du Match
9 - 2018-09-1352Winnipeg Jets3Nashville Predators1WSommaire du Match
11 - 2018-09-1573Carolina Hurricanes2Winnipeg Jets1LXSommaire du Match
13 - 2018-09-1785Edmonton Oilers4Winnipeg Jets3LSommaire du Match
15 - 2018-09-1998Vancouver Canucks4Winnipeg Jets3LXSommaire du Match
17 - 2018-09-21114Phoenix Coyotes5Winnipeg Jets2LSommaire du Match
19 - 2018-09-23121St. Louis Blues1Winnipeg Jets2WSommaire du Match
21 - 2018-09-25133Toronto Maple Leafs4Winnipeg Jets3LXXSommaire du Match
23 - 2018-09-27146Winnipeg Jets3Detroit Red Wings2WXSommaire du Match
24 - 2018-09-28157Winnipeg Jets4Toronto Maple Leafs3WSommaire du Match
29 - 2018-10-03183Winnipeg Jets3Florida Panthers1WSommaire du Match
30 - 2018-10-04194Florida Panthers1Winnipeg Jets2WSommaire du Match
37 - 2018-10-11240Colorado Avalanche5Winnipeg Jets2LSommaire du Match
39 - 2018-10-13258New Jersey Devils4Winnipeg Jets5WSommaire du Match
42 - 2018-10-16276Washington Capitals3Winnipeg Jets1LSommaire du Match
44 - 2018-10-18291Buffalo Sabres2Winnipeg Jets1LSommaire du Match
47 - 2018-10-21316Winnipeg Jets3Vancouver Canucks7LSommaire du Match
49 - 2018-10-23322Winnipeg Jets6Calgary Flames4WSommaire du Match
50 - 2018-10-24339Winnipeg Jets6Minnesota Wild7LXSommaire du Match
51 - 2018-10-25355Winnipeg Jets0St. Louis Blues1LSommaire du Match
54 - 2018-10-28376Pittsburgh Penguins0Winnipeg Jets3WSommaire du Match
56 - 2018-10-30389Chicago Blackhawks2Winnipeg Jets4WSommaire du Match
58 - 2018-11-01401Winnipeg Jets7New Jersey Devils6WSommaire du Match
59 - 2018-11-02411Winnipeg Jets1New York Rangers2LSommaire du Match
61 - 2018-11-04422Winnipeg Jets2New York Islanders3LSommaire du Match
64 - 2018-11-07443St. Louis Blues1Winnipeg Jets2WSommaire du Match
66 - 2018-11-09460Philadelphia Flyers5Winnipeg Jets1LSommaire du Match
68 - 2018-11-11473Chicago Blackhawks6Winnipeg Jets1LSommaire du Match
70 - 2018-11-13486Edmonton Oilers5Winnipeg Jets4LXXSommaire du Match
71 - 2018-11-14488Winnipeg Jets3Chicago Blackhawks4LXSommaire du Match
73 - 2018-11-16511Tampa Bay Lightning2Winnipeg Jets5WSommaire du Match
75 - 2018-11-18522Winnipeg Jets4Los Angeles Kings3WXSommaire du Match
77 - 2018-11-20538Winnipeg Jets1San Jose Sharks4LSommaire du Match
79 - 2018-11-22557Winnipeg Jets5Vancouver Canucks1WSommaire du Match
81 - 2018-11-24578Calgary Flames2Winnipeg Jets3WXSommaire du Match
83 - 2018-11-26597Minnesota Wild5Winnipeg Jets1LSommaire du Match
85 - 2018-11-28607Winnipeg Jets7Edmonton Oilers2WSommaire du Match
89 - 2018-12-02635Winnipeg Jets2Pittsburgh Penguins1WSommaire du Match
91 - 2018-12-04651Dallas Stars4Winnipeg Jets3LSommaire du Match
93 - 2018-12-06666Colorado Avalanche4Winnipeg Jets1LSommaire du Match
95 - 2018-12-08675Winnipeg Jets5Minnesota Wild4WSommaire du Match
96 - 2018-12-09686Detroit Red Wings6Winnipeg Jets3LSommaire du Match
98 - 2018-12-11704Anaheim Ducks3Winnipeg Jets4WXSommaire du Match
100 - 2018-12-13720Vegas Golden Knights2Winnipeg Jets3WSommaire du Match
102 - 2018-12-15729Winnipeg Jets3Nashville Predators2WXSommaire du Match
104 - 2018-12-17742Winnipeg Jets3Dallas Stars4LSommaire du Match
109 - 2018-12-22771Winnipeg Jets4Philadelphia Flyers2WSommaire du Match
110 - 2018-12-23773Winnipeg Jets4Boston Bruins2WSommaire du Match
112 - 2018-12-25780Columbus Blue Jackets1Winnipeg Jets4WSommaire du Match
114 - 2018-12-27801Anaheim Ducks4Winnipeg Jets2LSommaire du Match
117 - 2018-12-30819San Jose Sharks3Winnipeg Jets1LSommaire du Match
119 - 2019-01-01830Winnipeg Jets2Montreal Canadiens4LSommaire du Match
121 - 2019-01-03845Winnipeg Jets5Ottawa Senators2WSommaire du Match
122 - 2019-01-04853Winnipeg Jets3Buffalo Sabres4LSommaire du Match
124 - 2019-01-06874New York Rangers6Winnipeg Jets3LSommaire du Match
126 - 2019-01-08887Colorado Avalanche6Winnipeg Jets4LSommaire du Match
128 - 2019-01-10903Ottawa Senators1Winnipeg Jets3WSommaire du Match
132 - 2019-01-14926Winnipeg Jets-Colorado Avalanche-
134 - 2019-01-16944Winnipeg Jets-Vegas Golden Knights-
136 - 2019-01-18956Winnipeg Jets-Phoenix Coyotes-
138 - 2019-01-20977Minnesota Wild-Winnipeg Jets-
141 - 2019-01-23998Nashville Predators-Winnipeg Jets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-251010Winnipeg Jets-Columbus Blue Jackets-
145 - 2019-01-271028Winnipeg Jets-Tampa Bay Lightning-
148 - 2019-01-301045Winnipeg Jets-Carolina Hurricanes-
150 - 2019-02-011064Winnipeg Jets-Washington Capitals-
152 - 2019-02-031079San Jose Sharks-Winnipeg Jets-
154 - 2019-02-051092Boston Bruins-Winnipeg Jets-
156 - 2019-02-071110Calgary Flames-Winnipeg Jets-
158 - 2019-02-091119Winnipeg Jets-Los Angeles Kings-
160 - 2019-02-111132Winnipeg Jets-Anaheim Ducks-
161 - 2019-02-121147Winnipeg Jets-Vegas Golden Knights-
163 - 2019-02-141163Nashville Predators-Winnipeg Jets-
165 - 2019-02-161177Dallas Stars-Winnipeg Jets-
168 - 2019-02-191196New York Islanders-Winnipeg Jets-
170 - 2019-02-211214Montreal Canadiens-Winnipeg Jets-
172 - 2019-02-231221Winnipeg Jets-Chicago Blackhawks-
173 - 2019-02-241235Winnipeg Jets-Minnesota Wild-
175 - 2019-02-261244Winnipeg Jets-Colorado Avalanche-
177 - 2019-02-281257Winnipeg Jets-Phoenix Coyotes-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance182,817150,01760,746120,09530,158
Attendance PCT95.22%93.76%94.92%93.82%94.24%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
9 16995 - 94.42% 1,064,316$34,058,096$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
36,108,487$ 46,600,000$ 39,000,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
46,600,000$ 35,096,593$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
9,578,840$ 46 269,492$ 12,396,632$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
12,752,519$ 46,600,000$ 52,841,913$ 49,668,234$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Claude GirouxAGE:29PO:1OV:87
James NealAGE:29PO:1OV:81
Vladimir SobotkaAGE:29PO:1OV:76
Drew StaffordAGE:31PO:1OV:72
Daniel CarrAGE:25PO:1OV:68
Michael ChaputAGE:24PO:1OV:62
*Justin KirklandAGE:20PO:1OV:56
Troy BourkeAGE:22PO:1OV:56
Jeff HogganAGE:38PO:1OV:53
Claude GirouxAGE:29PO:1OV:87
Jordan StaalAGE:28PO:1OV:82
Riley SheahanAGE:25PO:1OV:77
Ryan StromeAGE:23PO:1OV:75
Jori LehteraAGE:29PO:1OV:70
*Filip ChlapikAGE:19PO:1OV:62
*Vinni LettieriAGE:21PO:1OV:61
Corban KnightAGE:26PO:1OV:61
Ryan OlsenAGE:22PO:1OV:58
Graham BlackAGE:24PO:1OV:56
Antoine LaganiereAGE:26PO:1OV:55
Travis MorinAGE:33PO:1OV:53
*Trent FredericAGE:18PO:1OV:52
T.J. OshieAGE:30PO:1OV:82
James NealAGE:29PO:1OV:81
Ryan StromeAGE:23PO:1OV:75
Drew StaffordAGE:31PO:1OV:72
Chris StewartAGE:29PO:1OV:72
Daniel CarrAGE:25PO:1OV:68
Jordan NolanAGE:27PO:1OV:65
*Vinni LettieriAGE:21PO:1OV:61
Garrett MitchellAGE:25PO:1OV:56

Défense #1Défense #2Gardien
T.J. BrodieAGE:26PO:1OV:84
Cody CeciAGE:23PO:1OV:82
Radko GudasAGE:26PO:1OV:78
Jonathan EricssonAGE:32PO:1OV:77
Braydon CoburnAGE:31PO:1OV:76
Mark BorowieckiAGE:27PO:1OV:74
Josh GorgesAGE:32PO:1OV:72
Yannick WeberAGE:28PO:1OV:70
Dalton ProutAGE:26PO:1OV:66
T.J. BrennanAGE:27PO:1OV:60
Chris ButlerAGE:30PO:1OV:57
Morgan EllisAGE:24PO:1OV:55
John RamageAGE:25PO:1OV:55
Jarred TinordiAGE:24PO:1OV:54
Mac BennettAGE:25PO:1OV:54
Marc-Andre FleuryAGE:32PO:1OV:91
Michal NeuvirthAGE:28PO:1OV:80
*Matej MachovskyAGE:23PO:1OV:58
*Matiss KivlenieksAGE:20PO:1OV:56

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
Anton KarlssonWinnipeg Jets1085
Isaac RatcliffeWinnipeg Jets1353
Jocktan ChaineyWinnipeg Jets13108
Morgan BarronWinnipeg Jets13106

Choix au Repêchage

Année R1R2R3R4R5R6
14Wpg Bos Wpg Min Wpg Wpg Tor Wpg
15Wpg Wpg Wpg Los Phi Wpg Wpg
16Wpg Wpg Wpg Phi Wpg Wpg Wpg
17Wpg Wpg Wpg Wpg Wpg Wpg
18Wpg Bos Wpg Wpg Wpg



[2019-01-30 09:38:15] - TRADE : From Winnipeg Jets to Phoenix Coyotes : Nathan Walker (54).
[2019-01-21 11:40:15] - TRADE : From Winnipeg Jets to Phoenix Coyotes : Kevin Shattenkirk (82), Y:18-RND:1-Wpg, Y:18-RND:5-Wpg.
[2019-01-21 11:40:15] - TRADE : From Phoenix Coyotes to Winnipeg Jets : Cody Ceci (81), Chris Stewart (72), Y:18-RND:3-Bos.
[2018-12-17 10:27:08] - TRADE : From Winnipeg Jets to Los Angeles Kings : Brandon Tanev (72), Leo Komarov (76).
[2018-12-17 10:27:08] - TRADE : From Los Angeles Kings to Winnipeg Jets : Riley Sheahan (77), Vladimir Sobotka (76).
[2018-09-29 10:54:52] - Team Name Change : St-John Ice Caps changed name to Moose
[2018-09-09 15:09:17] - Matiss Kivlenieks was added to Winnipeg Jets.
[2018-09-09 15:09:14] - Matej Machovsky was added to Winnipeg Jets.
[2018-09-03 12:24:49] - TRADE : From Winnipeg Jets to Boston Bruins : James van Riemsdyk, Y:15-RND:4-Wpg.
[2018-09-03 12:24:49] - TRADE : From Boston Bruins to Winnipeg Jets : James Neal, Jonathan Ericsson.
[2018-08-29 16:16:51] - Vinni Lettieri was added to Winnipeg Jets.



[2019-02-14 16:36:34] Successfully loaded Winnipeg Jets lines done with STHS Client - 3.1.4.4
[2019-02-08 10:28:41] Auto Lines Partial Function has been run for Winnipeg Jets.
[2019-02-08 10:28:41] Auto Roster Partial Function has been run for Winnipeg Jets.
[2019-02-07 10:17:22] Marc-Andre Fleury from Winnipeg Jets is back from Exhaustion.
[2019-02-06 09:13:31] Marc-Andre Fleury from Winnipeg Jets injured (Exhaustion)
[2019-01-30 09:38:15] TRADE : From Winnipeg Jets to Phoenix Coyotes : Nathan Walker (54).
[2019-01-30 09:35:06] Successfully loaded Winnipeg Jets lines done with STHS Client - 3.1.7.7
[2019-01-27 13:48:42] Last 7 Days Pro Star : 1 - Antti Raanta of Nashville Predators (0,983) / 2 - Vladimir Sobotka of Winnipeg Jets (3-2-5) / 3 - Claude Giroux of Winnipeg Jets (3-1-4)
[2019-01-27 13:48:03] Auto Lines Partial Function has been run for Winnipeg Jets.
[2019-01-27 13:48:02] Auto Roster Partial Function has been run for Winnipeg Jets.
[2019-01-26 17:55:02] Marc-Andre Fleury from Winnipeg Jets is back from Exhaustion.
[2019-01-25 15:39:52] Marc-Andre Fleury from Winnipeg Jets injured (Exhaustion)
[2019-01-24 17:30:37] Successfully loaded Winnipeg Jets lines done with STHS Client - 3.1.4.4
[2019-01-21 11:40:15] TRADE : From Winnipeg Jets to Phoenix Coyotes : Kevin Shattenkirk (82), Y:18-RND:1-Wpg, Y:18-RND:5-Wpg.
[2019-01-21 11:40:15] TRADE : From Phoenix Coyotes to Winnipeg Jets : Cody Ceci (81), Chris Stewart (72), Y:18-RND:3-Bos.
[2019-01-17 17:42:24] Successfully loaded Winnipeg Jets lines done with STHS Client - 3.1.4.4



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
1359252305402183184-13211150220283104-212714803200100802066183325508016657555172259455854927187053674712302174922.58%2795082.08%01033202251.09%1150214653.59%49290654.30%13769371445436747372
Total Saison Régulière59252305402183184-13211150220283104-212714803200100802066183325508016657555172259455854927187053674712302174922.58%2795082.08%01033202251.09%1150214653.59%49290654.30%13769371445436747372