Winnipeg Jets

GP: 6 | W: 4 | L: 1 | OTL: 1 | P: 9
GF: 21 | GA: 12 | PP%: 24.00% | PK%: 88.00%
DG: Luc Forget | Morale : 53 | Moyenne d'Équipe : N/A
Prochain matchs #98 vs Vancouver Canucks
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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
1Drew StaffordXX100.0080557878818275767466727955888815400
2Brandon TanevXX100.0092557874737475765968708755867915400
3James NealXX99.0089558489949489895077888655888615400
4Michael ChaputX100.0077556575756964617460606055585815500
5Jordan StaalX100.0097558480969693909881809655808315100
6Jordan NolanX100.0082557076858564695063606055666815400
7Claude Giroux (C)XX100.0075558594919196989799929755908815500
8Ryan Strome (A)XX100.0077558381868682767877738555717015400
9Daniel CarrXX100.0070558078737571745670706855657115400
10T.J. OshieX99.0094558492898993908083809155858315100
11Jori LehteraX100.0078557381818282708164647255848215400
12Leo KomarovXXX99.0099558785909088768469679255807715700
13Braydon CoburnX100.0081558078967980782571618155818715400
14Mark BorowieckiX100.0099557071957669752565648055807915400
15T.J. BrodieX100.0071559697899496932586659555868615700
16Radko GudasX100.0095557183998186822572628255828215400
17Jonathan EricssonX100.0088558274927585762566638955858215500
18Kevin Shattenkirk (A)X100.0078557495868787912584699055848215400
Rayé
MOYENNE D'ÉQUIPE99.838555798287848280577370835580801540
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 Fleury97.009485899393949493949355969815400
2Michal Neuvirth100.008572857689798485887955818015400
Rayé
MOYENNE D'ÉQUIPE98.50907987859187898991865589891540
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/LW636921151182271313.64%111619.49123720000001051.55%16100101.5400001101
2T.J. OshieWinnipeg JetsRW634739514142731511.11%314323.841127210000252058.33%1200000.9800010102
3James NealWinnipeg JetsLW/RW615644010819365.26%012921.631236210000110036.36%1100000.9200000001
4T.J. BrodieWinnipeg JetsD61450951612198.33%915025.12134722000017000.00%000000.6600100000
5Brandon TanevWinnipeg JetsLW/RW62242406465833.33%2589.6800000000000050.00%200001.3800000010
6Jordan StaalWinnipeg JetsC62240757122031610.00%111018.501012180001110065.94%13800000.7200010100
7Ryan StromeWinnipeg JetsC/RW613430056142107.14%17212.14011217000000042.59%5400001.1000000000
8Daniel CarrWinnipeg JetsLW/RW62243001482525.00%0559.2300000000000033.33%600001.4400000000
9Kevin ShattenkirkWinnipeg JetsD6134060116103910.00%815325.52112922000016000.00%000000.5200000010
10Leo KomarovWinnipeg JetsC/LW/RW61230551118176155.88%412420.740111170000290044.29%7000100.4800100010
11Braydon CoburnWinnipeg JetsD611244010853520.00%38514.300000000004010.00%000000.4700000000
12Mark BorowieckiWinnipeg JetsD60223601515330.00%37712.910000000001000.00%000000.5200000000
13Radko GudasWinnipeg JetsD611231008751120.00%312420.82000116000017000.00%000000.3200000000
14Jonathan EricssonWinnipeg JetsD61123555611159.09%1312721.27000416000023100.00%000000.3100001100
15Jori LehteraWinnipeg JetsC6101100412123100.00%1488.0800000000000039.58%4800000.4100000000
16Drew StaffordWinnipeg JetsLW/RW6000-120428360.00%38414.0600000000040016.67%600000.0000000000
17Michael ChaputWinnipeg JetsLW6000175111020.00%0477.950000000000000.00%000000.0000001000
18Jordan NolanWinnipeg JetsRW6000100406220.00%0477.960000000000000.00%200000.0000000000
Stats d'équipe Total ou en Moyenne1082138593289351181331975013310.66%55175916.29611174619600011644151.37%51000200.6700223434
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 Jets64110.9301.9936200121720100.000060021
Stats d'équipe Total ou en Moyenne64110.9301.9936200121720100.000060021


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$277,966$No300,000$300,000$
Braydon CoburnWinnipeg JetsD311985-02-26No220 Lbs6 ft5NoNoNo4Sans RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$1,000,000$1,000,000$
Claude GirouxWinnipeg JetsC/LW291988-01-12No172 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$6,022,599$No
Daniel CarrWinnipeg JetsLW/RW251991-11-01No194 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$277,966$No
Drew StaffordWinnipeg JetsLW/RW311985-10-30No214 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$
James NealWinnipeg JetsLW/RW291987-09-03No208 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No3,500,000$
Jonathan EricssonWinnipeg JetsD321984-03-02No220 Lbs6 ft4NoNoNo4Sans RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$1,000,000$1,000,000$
Jordan NolanWinnipeg JetsRW271989-06-23No221 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$500,000$463,277$No500,000$
Jordan StaalWinnipeg JetsC281988-09-10No220 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No
Jori LehteraWinnipeg JetsC291987-12-23No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$500,000$463,277$No500,000$
Kevin ShattenkirkWinnipeg JetsD271989-01-29No207 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$5,000,000$
Leo KomarovWinnipeg JetsC/LW/RW291987-01-23No198 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No3,500,000$
Marc-Andre FleuryWinnipeg JetsG321984-11-28No180 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$5,000,000$
Mark BorowieckiWinnipeg JetsD271989-07-11No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$
Michael ChaputWinnipeg JetsLW241992-04-08No197 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$277,966$No
Michal NeuvirthWinnipeg JetsG281988-03-22No209 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,000,000$2,000,000$1,853,107$No2,000,000$
Radko GudasWinnipeg JetsD261990-06-04No204 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No2,500,000$
Ryan StromeWinnipeg JetsC/RW231993-11-06No196 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$
T.J. BrodieWinnipeg JetsD261990-06-06No182 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$5,000,000$
T.J. OshieWinnipeg JetsRW301986-12-22No189 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$5,000,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2027.90201 Lbs6 ft12.252,420,000$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
48,400,000$37,800,000$22,300,000$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
1Leo KomarovT.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
Leo Komarov, 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
1Carolina Hurricanes1000010012-11000010012-10000000000010.5001120010003513811334111624400.00%80100.00%010920353.69%10621549.30%478754.02%2013297125
2Dallas Stars11000000514000000000001100000051421.00059140040103014511030410167342.86%50100.00%010920353.69%10621549.30%478754.02%2012267126
3Edmonton Oilers1010000034-11010000034-10000000000000.000358002010341212100311212212150.00%6183.33%010920353.69%10621549.30%478754.02%2317246125
4Los Angeles Kings11000000312110000003120000000000021.000369001020331561203063017200.00%30100.00%010920353.69%10621549.30%478754.02%2417246115
5Nashville Predators11000000312000000000001100000031221.0003690000302810108024111228400.00%10100.00%010920353.69%10621549.30%478754.02%2214247127
6St. Louis Blues11000000633000000000001100000063321.000611170014103710207023119126233.33%220.00%010920353.69%10621549.30%478754.02%2619216126
Total64100100211293110010077033000000145990.7502138590094801977461593172558911825624.00%25388.00%010920353.69%10621549.30%478754.02%13895150417337
_Since Last GM Reset64100100211293110010077033000000145990.7502138590094801977461593172558911825624.00%25388.00%010920353.69%10621549.30%478754.02%13895150417337
_Vs Conference541000002010102110000065133000000145980.800203757008480162615348013844739421628.57%17382.35%010920353.69%10621549.30%478754.02%11781120346131
_Vs Division3300000014590000000000033000000145961.0001426400054509534352607726315617529.41%8275.00%010920353.69%10621549.30%478754.02%694672213720

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
69L1213859197172558911800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
64101002112
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311010077
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3300000145
Derniers 10 Matchs
WLOTWOTL SOWSOL
410100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
25624.00%25388.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
74615939480
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
10920353.69%10621549.30%478754.02%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13895150417337


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 Canucks-Winnipeg Jets-
17 - 2018-09-21114Phoenix Coyotes-Winnipeg Jets-
19 - 2018-09-23121St. Louis Blues-Winnipeg Jets-
21 - 2018-09-25133Toronto Maple Leafs-Winnipeg Jets-
23 - 2018-09-27146Winnipeg Jets-Detroit Red Wings-
24 - 2018-09-28157Winnipeg Jets-Toronto Maple Leafs-
29 - 2018-10-03183Winnipeg Jets-Florida Panthers-
30 - 2018-10-04194Florida Panthers-Winnipeg Jets-
37 - 2018-10-11240Colorado Avalanche-Winnipeg Jets-
39 - 2018-10-13258New Jersey Devils-Winnipeg Jets-
42 - 2018-10-16276Washington Capitals-Winnipeg Jets-
44 - 2018-10-18291Buffalo Sabres-Winnipeg Jets-
47 - 2018-10-21316Winnipeg Jets-Vancouver Canucks-
49 - 2018-10-23322Winnipeg Jets-Calgary Flames-
50 - 2018-10-24339Winnipeg Jets-Minnesota Wild-
51 - 2018-10-25355Winnipeg Jets-St. Louis Blues-
54 - 2018-10-28376Pittsburgh Penguins-Winnipeg Jets-
56 - 2018-10-30389Chicago Blackhawks-Winnipeg Jets-
58 - 2018-11-01401Winnipeg Jets-New Jersey Devils-
59 - 2018-11-02411Winnipeg Jets-New York Rangers-
61 - 2018-11-04422Winnipeg Jets-New York Islanders-
64 - 2018-11-07443St. Louis Blues-Winnipeg Jets-
66 - 2018-11-09460Philadelphia Flyers-Winnipeg Jets-
68 - 2018-11-11473Chicago Blackhawks-Winnipeg Jets-
70 - 2018-11-13486Edmonton Oilers-Winnipeg Jets-
71 - 2018-11-14488Winnipeg Jets-Chicago Blackhawks-
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
Assistance17,24913,7135,42410,7852,693
Attendance PCT95.83%91.42%90.40%89.88%89.77%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 16621 - 92.34% 1,047,546$3,142,639$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
3,635,593$ 48,400,000$ 37,190,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
48,400,000$ 3,554,798$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
39,806,761$ 164 279,661$ 45,864,404$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
46,896,285$ 48,400,000$ 55,069,046$ 47,979,522$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Drew StaffordAGE:31PO:1OV:0
Brandon TanevAGE:25PO:1OV:0
*Justin KirklandAGE:20PO:1OV:0
*Nathan WalkerAGE:22PO:1OV:0
Jeff HogganAGE:38PO:1OV:0
James NealAGE:29PO:1OV:0
Michael ChaputAGE:24PO:1OV:0
Troy BourkeAGE:22PO:1OV:0
Claude GirouxAGE:29PO:1OV:0
Daniel CarrAGE:25PO:1OV:0
Leo KomarovAGE:29PO:1OV:0
Antoine LaganiereAGE:26PO:1OV:0
*Filip ChlapikAGE:19PO:1OV:0
*Vinni LettieriAGE:21PO:1OV:0
Corban KnightAGE:26PO:1OV:0
Graham BlackAGE:24PO:1OV:0
*Trent FredericAGE:18PO:1OV:0
Jordan StaalAGE:28PO:1OV:0
Claude GirouxAGE:29PO:1OV:0
Ryan StromeAGE:23PO:1OV:0
Jori LehteraAGE:29PO:1OV:0
Leo KomarovAGE:29PO:1OV:0
Travis MorinAGE:33PO:1OV:0
Ryan OlsenAGE:22PO:1OV:0
*Vinni LettieriAGE:21PO:1OV:0
Drew StaffordAGE:31PO:1OV:0
Garrett MitchellAGE:25PO:1OV:0
Brandon TanevAGE:25PO:1OV:0
James NealAGE:29PO:1OV:0
Jordan NolanAGE:27PO:1OV:0
Ryan StromeAGE:23PO:1OV:0
Daniel CarrAGE:25PO:1OV:0
T.J. OshieAGE:30PO:1OV:0
Leo KomarovAGE:29PO:1OV:0

Défense #1Défense #2Gardien
Braydon CoburnAGE:31PO:1OV:0
Josh GorgesAGE:32PO:1OV:0
Dalton ProutAGE:26PO:1OV:0
Jarred TinordiAGE:24PO:1OV:0
Chris ButlerAGE:30PO:1OV:0
Mark BorowieckiAGE:27PO:1OV:0
T.J. BrodieAGE:26PO:1OV:0
Morgan EllisAGE:24PO:1OV:0
John RamageAGE:25PO:1OV:0
Radko GudasAGE:26PO:1OV:0
Jonathan EricssonAGE:32PO:1OV:0
T.J. BrennanAGE:27PO:1OV:0
Mac BennettAGE:25PO:1OV:0
Yannick WeberAGE:28PO:1OV:0
Kevin ShattenkirkAGE:27PO:1OV:0
Marc-Andre FleuryAGE:32PO:1OV:0
*Matej MachovskyAGE:23PO:1OV:0
*Matiss KivlenieksAGE:20PO:1OV:0
Michal NeuvirthAGE:28PO:1OV:0

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.
[2018-07-16 20:16:14] - Trent Frederic was added to Winnipeg Jets.
[2018-07-16 20:16:14] - Filip Chlapik was added to Winnipeg Jets.
[2018-07-12 19:33:31] - TRADE : From Dallas Stars to Winnipeg Jets : Anton Karlsson (P).
[2018-07-12 19:33:31] - TRADE : From Winnipeg Jets to Dallas Stars : Y:13-RND:5-Wpg.



[2018-09-30 11:02:40] Successfully loaded Winnipeg Jets lines done with STHS Client - 3.1.4.4
[2018-09-30 11:02:40] Matiss Kivlenieks of Winnipeg Jets was sent to farm.
[2018-09-30 11:02:40] Matej Machovsky of Winnipeg Jets was sent to farm.
[2018-09-30 11:02:40] Jeff Hoggan of Winnipeg Jets was sent down to farm.
[2018-09-30 11:02:34] Winnipeg Jets placed Jeff Hoggan on waivers.
[2018-09-10 12:43:50] Claude Giroux from Winnipeg Jets completes suspension
[2018-09-10 12:43:36] Auto Lines Partial Function has been run for Winnipeg Jets.
[2018-09-10 12:43:36] Auto Roster Partial Function has been run for Winnipeg Jets.
[2018-09-09 15:09:21] Winnipeg Jets roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[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.
[2018-09-09 15:08:56] Winnipeg Jets roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-09-09 07:44:22] Game 12 - Claude Giroux from Winnipeg Jets suspended for 1 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
1364100100211293110010077033000000145992138590094801977461593172558911825624.00%25388.00%010920353.69%10621549.30%478754.02%13895150417337
Total Saison Régulière64100100211293110010077033000000145992138590094801977461593172558911825624.00%25388.00%010920353.69%10621549.30%478754.02%13895150417337