Winnipeg Jets

GP: 32 | W: 15 | L: 11 | OTL: 6 | P: 36
GF: 95 | GA: 100 | PP%: 20.66% | PK%: 81.08%
DG: Luc Forget | Morale : 42 | Moyenne d'Équipe : 76
Prochain matchs #511 vs Tampa Bay Lightning
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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
1Claude Giroux (C)XX100.00755585949191969897999297559088141870
2Jordan StaalX100.00975584809696939098818096558083150820
3T.J. OshieX100.00945584928989939080838091558583151820
4James NealXX100.00895584899494898950778886558886151810
5Leo KomarovXXX100.00995587859090887684696792558077153760
6Ryan Strome (A)XX100.00775583818686827678777385557170150740
7Drew StaffordXX100.00805578788182757674667279558888147720
8Brandon TanevXX100.00925578747374757659687087558679150720
9Jori LehteraX100.00785573818182827081646472558482129700
10Daniel CarrXX100.00705580787375717456707068556571150680
11Jordan NolanX100.00825570768585646950636060556668150650
12Michael ChaputX100.00775565757569646174606060555858155620
13T.J. BrodieX100.00715596978994969325866595558686154840
14Kevin Shattenkirk (A)X100.00785574958687879125846990558482150820
15Radko GudasX100.00955571839981868225726282558282153780
16Jonathan EricssonX100.00885582749275857625666389558582151760
17Braydon CoburnX100.00815580789679807825716181558187142750
18Mark BorowieckiX100.00995570719576697525656480558079150740
Rayé
1Josh GorgesX100.00835579748976826525626075559186146720
MOYENNE D'ÉQUIPE100.0084557982878382795673698255818014975
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 Fleury99.0094858993939494939493559698129910
2Michal Neuvirth100.0085728576897984858879558180150800
Rayé
MOYENNE D'ÉQUIPE99.509079878591878989918655898914086
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/LW30182240615514861213210114.88%1060320.1165113295000073156.69%81500101.3301001422
2T.J. OshieWinnipeg JetsRW32141630639156667115228112.17%1480225.084482310600051515050.00%7400000.7500111225
3James NealWinnipeg JetsLW/RW3212172983755640102277011.76%570322.003710201070002611041.82%5500000.8202001122
4T.J. BrodieWinnipeg JetsD3242327122101750518417.84%5082125.694711251120001113010.00%000000.6600101010
5Kevin ShattenkirkWinnipeg JetsD32418222440103405318317.55%3782025.64279341130000106100.00%000000.5400000132
6Jordan StaalWinnipeg JetsC3281018-91810597111028907.27%1061619.2634721960002852056.31%75300000.5802110102
7Ryan StromeWinnipeg JetsC/RW3271017-260184455173812.73%641112.871671599000000043.73%37500000.8300000001
8Jonathan EricssonWinnipeg JetsD325813-421528244562611.11%4668421.3813417880000131110.00%000000.3800001111
9Brandon TanevWinnipeg JetsLW/RW3257120240362433173415.15%43149.8300000000030041.18%1700000.7600000011
10Radko GudasWinnipeg JetsD3211112-34756623288133.57%3266820.8803316880000108000.00%000000.3600100000
11Leo KomarovWinnipeg JetsC/LW/RW325611-327553719425525.32%1066720.85123169500021601148.22%39400100.3301100111
12Braydon CoburnWinnipeg JetsD29279710024251291416.67%2640213.8900003000033110.00%000000.4500000100
13Daniel CarrWinnipeg JetsLW/RW32347-140862191614.29%13039.4700000000000045.45%2200000.4600000000
14Mark BorowieckiWinnipeg JetsD3206622806422149110.00%2540912.810000000006000.00%000000.2900000000
15Jori LehteraWinnipeg JetsC2841516012332531216.00%21886.7400001000000048.04%20400000.5300000000
16Drew StaffordWinnipeg JetsLW/RW32134-811514143617272.78%546114.41000050000380050.00%2600000.1700010000
17Jordan NolanWinnipeg JetsRW322132100176226139.09%02106.5800000000000166.67%1200000.2800000000
18Filip ChlapikMoose (Wpg)C6011120274130.00%0386.4000000000040044.44%3600000.5200000000
19Josh GorgesWinnipeg JetsD4011-240131200.00%04210.510000000006000.00%000000.4800000000
20Michael ChaputWinnipeg JetsLW31011214101148390.00%12006.4800000000000044.44%900000.1000101000
Stats d'équipe Total ou en Moyenne5769517326863897566966095026768210.00%284937216.27254873219101500012101815652.15%279200200.5706636121317
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 Jets27111040.9073.05147841758030100.6673275342
2Michal NeuvirthWinnipeg Jets94120.8943.0345620232180000.6673527000
Stats d'équipe Total ou en Moyenne36151160.9043.041934619810210100.66763232342


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Brandon TanevWinnipeg JetsLW/RW251991-12-31No180 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$300,000$177,966$No300,000$300,000$
Braydon CoburnWinnipeg JetsD311985-02-26No220 Lbs6 ft5NoNoNo4Sans RestrictionPro & Farm1,000,000$1,000,000$593,220$No1,000,000$1,000,000$1,000,000$
Claude GirouxWinnipeg JetsC/LW291988-01-12No172 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$3,855,932$No
Daniel CarrWinnipeg JetsLW/RW251991-11-01No194 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$177,966$No
Drew StaffordWinnipeg JetsLW/RW311985-10-30No214 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$593,220$No1,000,000$
James NealWinnipeg JetsLW/RW291987-09-03No208 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$2,076,271$No3,500,000$
Jonathan EricssonWinnipeg JetsD321984-03-02No220 Lbs6 ft4NoNoNo4Sans RestrictionPro & Farm1,000,000$1,000,000$593,220$No1,000,000$1,000,000$1,000,000$
Jordan NolanWinnipeg JetsRW271989-06-23No221 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$500,000$296,610$No500,000$
Jordan StaalWinnipeg JetsC281988-09-10No220 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$2,076,271$No
Jori LehteraWinnipeg JetsC291987-12-23No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$500,000$296,610$No500,000$
Josh GorgesWinnipeg JetsD321984-08-14No201 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm500,000$500,000$296,610$No500,000$500,000$
Kevin ShattenkirkWinnipeg JetsD271989-01-29No207 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$2,966,102$No5,000,000$5,000,000$
Leo KomarovWinnipeg JetsC/LW/RW291987-01-23No198 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$2,076,271$No3,500,000$
Marc-Andre FleuryWinnipeg JetsG321984-11-28No180 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$2,966,102$No5,000,000$5,000,000$
Mark BorowieckiWinnipeg JetsD271989-07-11No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$593,220$No1,000,000$
Michael ChaputWinnipeg JetsLW241992-04-08No197 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$177,966$No
Michal NeuvirthWinnipeg JetsG281988-03-22No209 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,000,000$2,000,000$1,186,441$No2,000,000$
Radko GudasWinnipeg JetsD261990-06-04No204 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$1,483,051$No2,500,000$
Ryan StromeWinnipeg JetsC/RW231993-11-06No196 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$593,220$No1,000,000$
T.J. BrodieWinnipeg JetsD261990-06-06No182 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$2,966,102$No5,000,000$5,000,000$
T.J. OshieWinnipeg JetsRW301986-12-22No189 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$2,966,102$No5,000,000$5,000,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2128.10201 Lbs6 ft12.292,328,571$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
48,900,000$38,300,000$22,800,000$2,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1James NealClaude GirouxT.J. Oshie46014
2Leo KomarovJordan StaalDrew Stafford32023
3Daniel CarrRyan StromeBrandon Tanev15122
4Michael ChaputJori LehteraJordan Nolan7131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ShattenkirkT.J. Brodie50023
2Jonathan EricssonRadko Gudas33122
3Mark BorowieckiBraydon Coburn12320
4Kevin ShattenkirkT.J. Brodie5023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1James NealClaude GirouxT.J. Oshie72014
2Ryan StromeJordan StaalLeo Komarov28113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1T.J. BrodieKevin Shattenkirk72005
2Jonathan EricssonRadko Gudas28113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Leo KomarovT.J. Oshie60131
2Jordan StaalJames Neal40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathan EricssonRadko Gudas60131
2T.J. BrodieKevin Shattenkirk40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Leo Komarov60131Jonathan EricssonJames 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
1Kevin ShattenkirkT.J. Brodie70023
2Jonathan EricssonRadko Gudas30221
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
James NealClaude GirouxT.J. OshieT.J. BrodieJordan Staal
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
T.J. OshieJordan StaalLeo KomarovJonathan EricssonRadko Gudas
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
T.J. Oshie, Jordan Staal, James NealJordan Staal, Ryan StromeLeo Komarov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevin Shattenkirk, T.J. Brodie, Radko GudasKevin ShattenkirkJonathan Ericsson, Kevin Shattenkirk
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
1Buffalo Sabres1010000012-11010000012-10000000000000.00012300010031518802271114300.00%30100.00%0562110051.09%625117953.01%26949254.67%2316237126
2Calgary Flames11000000642000000000001100000064221.00069150032103210139030106186233.33%2150.00%0562110051.09%625117953.01%26949254.67%2417237126
3Carolina Hurricanes1000010012-11000010012-10000000000010.5001120010003513811334111624400.00%80100.00%0562110051.09%625117953.01%26949254.67%2013297125
4Chicago Blackhawks31100100812-42110000058-31000010034-130.5008142200332010440323201002431671119.09%13376.92%0562110051.09%625117953.01%26949254.67%694674223718
5Colorado Avalanche1010000025-31010000025-30000000000000.000235001010331015802591222400.00%6350.00%0562110051.09%625117953.01%26949254.67%2519216125
6Dallas Stars11000000514000000000001100000051421.00059140040103014511030410167342.86%50100.00%0562110051.09%625117953.01%26949254.67%2012267126
7Detroit Red Wings10001000321000000000001000100032121.000369001101329129224912176116.67%5180.00%0562110051.09%625117953.01%26949254.67%2618226115
8Edmonton Oilers2010000179-22010000179-20000000000010.25071320004120722518293562418454125.00%6266.67%0562110051.09%625117953.01%26949254.67%503549132512
9Florida Panthers22000000523110000002111100000031241.00051015002120461420120541723486116.67%8187.50%0562110051.09%625117953.01%26949254.67%453048152612
10Los Angeles Kings11000000312110000003120000000000021.000369001020331561203063017200.00%30100.00%0562110051.09%625117953.01%26949254.67%2417246115
11Minnesota Wild1000010067-1000000000001000010067-110.5006111700213031166814461620300.00%7357.14%0562110051.09%625117953.01%26949254.67%2416266126
12Nashville Predators11000000312000000000001100000031221.0003690000302810108024111228400.00%10100.00%0562110051.09%625117953.01%26949254.67%2214247127
13New Jersey Devils2200000012102110000005411100000076141.000122335005520612621140821821417685.71%8362.50%0562110051.09%625117953.01%26949254.67%443049142613
14New York Islanders1010000023-1000000000001010000023-100.000246001100291310602454195120.00%20100.00%0562110051.09%625117953.01%26949254.67%2114248137
15New York Rangers1010000012-1000000000001010000012-100.000123001000245514029151023500.00%5180.00%0562110051.09%625117953.01%26949254.67%2416226136
16Philadelphia Flyers1010000015-41010000015-40000000000000.000123001000157440421022254125.00%11281.82%0562110051.09%625117953.01%26949254.67%1912288115
17Phoenix Coyotes1010000025-31010000025-30000000000000.0002350011002861210029101722200.00%6183.33%0562110051.09%625117953.01%26949254.67%2215247125
18Pittsburgh Penguins11000000303110000003030000000000021.000358010210224135042920185240.00%100100.00%0562110051.09%625117953.01%26949254.67%2113268125
19St. Louis Blues431000001064220000004222110000064260.750101929003520115474523012848436618316.67%19289.47%0562110051.09%625117953.01%26949254.67%966693274926
20Toronto Maple Leafs210000017701000000134-11100000043130.75071320002230752523237721332483266.67%8275.00%0562110051.09%625117953.01%26949254.67%523646132513
Total3214110140295100-51877002024355-1214740120052457360.563951732680138282819503423152831610212843956691212520.66%1482881.08%0562110051.09%625117953.01%26949254.67%754515779229403202
22Vancouver Canucks20100100611-51000010034-11010000037-410.25061016002220461910170691321469111.11%8187.50%0562110051.09%625117953.01%26949254.67%463147142613
23Washington Capitals1010000013-21010000013-20000000000000.0001230000102899100315825300.00%4250.00%0562110051.09%625117953.01%26949254.67%2618206126
_Since Last GM Reset3214110140295100-51877002024355-1214740120052457360.563951732680138282819503423152831610212843956691212520.66%1482881.08%0562110051.09%625117953.01%26949254.67%754515779229403202
_Vs Conference1886003015862-41044001012634-88420020032284200.556581031610024151905522121721674565165216367701115.71%761678.95%0562110051.09%625117953.01%26949254.67%427293436126225114
_Vs Division11630020034322532000001115-46310020023176140.6363462960013912034113711390135110212421947714.89%511178.43%0562110051.09%625117953.01%26949254.67%2581752687813770

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3236OTL195173268950102128439566901
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
321411140295100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
187702024355
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
147412005245
Derniers 10 Matchs
WLOTWOTL SOWSOL
440101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1212520.66%1482881.08%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
342315283163828281
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
562110051.09%625117953.01%26949254.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
754515779229403202


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 Lightning-Winnipeg Jets-
75 - 2018-11-18522Winnipeg Jets-Los Angeles Kings-
77 - 2018-11-20538Winnipeg Jets-San Jose Sharks-
79 - 2018-11-22557Winnipeg Jets-Vancouver Canucks-
81 - 2018-11-24578Calgary Flames-Winnipeg Jets-
83 - 2018-11-26597Minnesota Wild-Winnipeg Jets-
85 - 2018-11-28607Winnipeg Jets-Edmonton Oilers-
89 - 2018-12-02635Winnipeg Jets-Pittsburgh Penguins-
91 - 2018-12-04651Dallas Stars-Winnipeg Jets-
93 - 2018-12-06666Colorado Avalanche-Winnipeg Jets-
95 - 2018-12-08675Winnipeg Jets-Minnesota Wild-
96 - 2018-12-09686Detroit Red Wings-Winnipeg Jets-
98 - 2018-12-11704Anaheim Ducks-Winnipeg Jets-
100 - 2018-12-13720Vegas Golden Knights-Winnipeg Jets-
102 - 2018-12-15729Winnipeg Jets-Nashville Predators-
104 - 2018-12-17742Winnipeg Jets-Dallas Stars-
109 - 2018-12-22771Winnipeg Jets-Philadelphia Flyers-
110 - 2018-12-23773Winnipeg Jets-Boston Bruins-
112 - 2018-12-25780Columbus Blue Jackets-Winnipeg Jets-
114 - 2018-12-27801Anaheim Ducks-Winnipeg Jets-
117 - 2018-12-30819San Jose Sharks-Winnipeg Jets-
119 - 2019-01-01830Winnipeg Jets-Montreal Canadiens-
121 - 2019-01-03845Winnipeg Jets-Ottawa Senators-
122 - 2019-01-04853Winnipeg Jets-Buffalo Sabres-
124 - 2019-01-06874New York Rangers-Winnipeg Jets-
126 - 2019-01-08887Colorado Avalanche-Winnipeg Jets-
128 - 2019-01-10903Ottawa Senators-Winnipeg Jets-
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
Assistance102,93985,30134,26667,76917,023
Attendance PCT95.31%94.78%95.18%94.12%94.57%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
23 17072 - 94.85% 1,068,562$19,234,124$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
20,107,347$ 48,900,000$ 39,690,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
48,900,000$ 19,583,598$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
24,576,936$ 105 282,486$ 29,661,030$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
30,353,380$ 48,900,000$ 54,353,460$ 48,577,016$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Claude GirouxAGE:29PO:1OV:87
James NealAGE:29PO:1OV:81
Leo KomarovAGE:29PO:1OV:76
Drew StaffordAGE:31PO:1OV:72
Brandon TanevAGE:25PO:1OV:72
Daniel CarrAGE:25PO:1OV:68
Michael ChaputAGE:24PO:1OV:62
*Justin KirklandAGE:20PO:1OV:56
Troy BourkeAGE:22PO:1OV:56
*Nathan WalkerAGE:22PO:1OV:54
Jeff HogganAGE:38PO:1OV:53
Claude GirouxAGE:29PO:1OV:87
Jordan StaalAGE:28PO:1OV:82
Leo KomarovAGE:29PO:1OV:76
Ryan StromeAGE:23PO:1OV:74
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
Leo KomarovAGE:29PO:1OV:76
Ryan StromeAGE:23PO:1OV:74
Drew StaffordAGE:31PO:1OV:72
Brandon TanevAGE:25PO: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
Kevin ShattenkirkAGE:27PO:1OV:82
Radko GudasAGE:26PO:1OV:78
Jonathan EricssonAGE:32PO:1OV:76
Braydon CoburnAGE:31PO:1OV:75
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 Wpg Wpg Wpg Wpg Wpg



[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.
[2018-08-28 16:10:09] - TRADE : From Vegas Golden Knights to Winnipeg Jets : Braydon Coburn.
[2018-08-25 10:14:58] - Winnipeg Jets hired Mike Sullivan for 1 100 000 $ for 5 year(s).
[2018-08-25 10:14:44] - Winnipeg Jets fired Willie Desjardins.
[2018-07-26 08:14:20] - TJ Brodie has been deleted from Winnipeg Jets.
[2018-07-26 08:14:18] - Roman Will has been deleted from Winnipeg Jets.
[2018-07-26 08:14:16] - Michael Sdao has been deleted from Winnipeg Jets.
[2018-07-26 08:14:12] - Brendan Collier has been deleted from Winnipeg Jets.
[2018-07-26 08:14:08] - Aaron Haydon has been deleted from Winnipeg Jets.
[2018-07-19 22:59:45] - Jeff Hoggan was added to Winnipeg Jets.
[2018-07-17 15:16:23] - T.J. Brodie was added to Winnipeg Jets.
[2018-07-16 20:16:14] - Nathan Walker was added to Winnipeg Jets.



[2018-12-11 13:06:51] Successfully loaded Winnipeg Jets lines done with STHS Client - 3.1.4.4
[2018-12-11 13:06:51] Filip Chlapik of Winnipeg Jets was sent down to farm.
[2018-12-07 13:31:26] Claude Giroux from Winnipeg Jets is back from Left Knee Injury.
[2018-12-07 13:31:05] Successfully loaded Winnipeg Jets lines done with STHS Client - 3.1.4.4
[2018-12-07 13:31:05] Filip Chlapik of Winnipeg Jets was sent to pro.
[2018-12-05 10:59:14] Jori Lehtera from Winnipeg Jets is back from Bruised Right Arm Injury.
[2018-12-04 15:05:58] Game 422 - Jori Lehtera from Winnipeg Jets is injured (Bruised Right Arm) and is out for 4 days.
[2018-12-04 15:05:58] Game 422 - Claude Giroux from Winnipeg Jets is injured (Left Knee) and is out for 6 days.
[2018-12-04 15:05:19] Auto Lines Partial Function has been run for Winnipeg Jets.
[2018-12-04 15:05:19] Auto Roster Partial Function has been run for Winnipeg Jets.
[2018-12-03 18:08:44] Marc-Andre Fleury from Winnipeg Jets is back from Exhaustion.
[2018-12-02 13:08:47] Marc-Andre Fleury from Winnipeg Jets injured (Exhaustion)
[2018-11-29 09:14:57] Last 7 Days Pro Star : 1 - Evander Kane of Edmonton Oilers (9-0-9) / 2 - Marc-Andre Fleury of Winnipeg Jets (0,971) / 3 - Joe Pavelski of Minnesota Wild (3-6-9)
[2018-11-28 09:31:45] Successfully loaded Winnipeg Jets lines done with STHS Client - 3.1.4.4
[2018-11-28 09:31:45] Filip Chlapik of Winnipeg Jets was sent down to farm.
[2018-11-25 15:48:48] Braydon Coburn from Winnipeg Jets is back from Back Injury.
[2018-11-24 12:15:18] Jori Lehtera from Winnipeg Jets is back from Bruised Left Leg Injury.
[2018-11-24 12:14:35] Successfully loaded Winnipeg Jets lines done with STHS Client - 3.1.4.4
[2018-11-23 16:37:47] Auto Lines Partial Function has been run for Winnipeg Jets.
[2018-11-23 16:37:47] Auto Roster Partial Function has been run for Winnipeg Jets.
[2018-11-23 16:37:47] Josh Gorges of Winnipeg Jets was sent to pro.
[2018-11-21 22:27:41] Game 322 - Braydon Coburn from Winnipeg Jets is injured (Back) and is out for 1 week.
[2018-11-21 22:26:50] Successfully loaded Winnipeg Jets lines done with STHS Client - 3.1.4.4
[2018-11-21 22:26:50] Filip Chlapik of Winnipeg Jets was sent to pro.
[2018-11-19 12:24:18] Game 316 - Jori Lehtera from Winnipeg Jets is injured (Bruised Left Leg) and is out for 1 week.
[2018-11-15 10:41:26] T.J. Brennan from Moose completes suspension
[2018-11-11 14:29:12] Game 197 - T.J. Brennan from Moose suspended for 2 game(s)



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
133214110140295100-51877002024355-121474012005245736951732680138282819503423152831610212843956691212520.66%1482881.08%0562110051.09%625117953.01%26949254.67%754515779229403202
Total Saison Régulière3214110140295100-51877002024355-121474012005245736951732680138282819503423152831610212843956691212520.66%1482881.08%0562110051.09%625117953.01%26949254.67%754515779229403202