Connexion

Jets
GP: 67 | W: 46 | L: 17 | OTL: 4 | P: 96
GF: 230 | GA: 164 | PP%: 20.15% | PK%: 88.26%
DG: Lukas Kotlorz | Morale : 50 | Moyenne d’équipe : 69
#1085 vs Rangers
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Centre de jeu
Ducks
36-26-6, 78pts
4
FINAL
2 Jets
46-17-4, 96pts
Team Stats
W3SéquenceL4
18-13-3Fiche domicile23-9-2
18-13-3Fiche visiteur23-8-2
7-3-0Derniers 10 matchs5-5-0
3.25Buts par match 3.43
3.51Buts contre par match 2.45
17.16%Pourcentage en avantage numérique20.15%
82.66%Pourcentage en désavantage numérique88.26%
Jets
46-17-4, 96pts
3
FINAL
4 Blue Jackets
27-34-6, 60pts
Team Stats
L4SéquenceW2
23-9-2Fiche domicile19-16-1
23-8-2Fiche visiteur8-18-5
5-5-0Derniers 10 matchs5-4-1
3.43Buts par match 2.96
2.45Buts contre par match 3.37
20.15%Pourcentage en avantage numérique16.80%
88.26%Pourcentage en désavantage numérique81.86%
Jets
46-17-4, 96pts
Jour 133
Rangers
44-18-5, 93pts
Statistiques d’équipe
L4SéquenceW3
23-9-2Fiche domicile23-6-2
23-8-2Fiche visiteur21-12-3
5-5-010 derniers matchs7-2-1
3.43Buts par match 3.99
2.45Buts contre par match 3.99
20.15%Pourcentage en avantage numérique21.51%
88.26%Pourcentage en désavantage numérique82.90%
Jets
46-17-4, 96pts
Jour 135
Devils
38-25-5, 81pts
Statistiques d’équipe
L4SéquenceW2
23-9-2Fiche domicile20-13-1
23-8-2Fiche visiteur18-12-4
5-5-010 derniers matchs5-5-0
3.43Buts par match 2.87
2.45Buts contre par match 2.87
20.15%Pourcentage en avantage numérique16.33%
88.26%Pourcentage en désavantage numérique83.26%
Jets
46-17-4, 96pts
Jour 137
Capitals
32-30-5, 69pts
Statistiques d’équipe
L4SéquenceL3
23-9-2Fiche domicile14-14-4
23-8-2Fiche visiteur18-16-1
5-5-010 derniers matchs3-6-1
3.43Buts par match 2.88
2.45Buts contre par match 2.88
20.15%Pourcentage en avantage numérique16.87%
88.26%Pourcentage en désavantage numérique81.58%
Meneurs d'équipe
Kirill KaprizovButs
Kirill Kaprizov
33
Jean-Gabriel PageauPasses
Jean-Gabriel Pageau
42
Jean-Gabriel PageauPoints
Jean-Gabriel Pageau
66
Evgeny KuznetsovPlus/Moins
Evgeny Kuznetsov
24
Igor ShesterkinVictoires
Igor Shesterkin
37
Jon GilliesPourcentage d’arrêts
Jon Gillies
0.952

Statistiques d’équipe
Buts pour
230
3.43 GFG
Tirs pour
2108
31.46 Avg
Pourcentage en avantage numérique
20.1%
55 GF
Début de zone offensive
43.0%
Buts contre
164
2.45 GAA
Tirs contre
1787
26.67 Avg
Pourcentage en désavantage numérique
88.3%%
29 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralLukas Kotlorz
EntraîneurRick Bowness
DivisionCentral Division
ConférenceWestern Conference
CapitaineAlex Killorn
Assistant #1Justin Faulk
Assistant #2Jean-Gabriel Pageau


Informations de l’aréna

NomCanada Life Centre
Capacité20,000
Assistance19,474
Billets de saison10,000


Informations de la formation

Équipe Pro22
Équipe Mineure28
Limite contact 50 / 80
Espoirs31


Plafond salarial Non Activé

Cap Salarial de la Saison estimé73,090,000$
Plafond salarial disponible910,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour57,481,059$
Dépenses annuelles à ce jour60,397,500$
Revenus de la saison estimés11,834,336$
Dépenses de la saison estimées12,792,500$
Compte bancaire actuel29,508,738$
Compte bancaire projeté28,331,838$


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 SPÂgeContratSalaire
1Roope HintzXX100.0067367787828390897583917593666105074N02616,000,000$
2Kirill KaprizovX100.0071387484718987925283956698645805073N02628,000,000$
3Alex Killorn (C)XXX100.006838698474829482517977749380760507203414,000,000$
4Jean-Gabriel Pageau (A)X100.008441778070838880918080787274690507203034,300,000$
5Jake DeBruskXX100.0074378084738285815273857291665905071N02615,000,000$
6Dylan StromeX100.0062357779798194807883736768645805070N02613,600,000$
7Anders LeeXX100.0076417274868294776067787080788205070N03315,000,000$
8Gustav NyquistXXX100.006937788069837972567068748180760506803432,500,000$
9Tyler MotteXXX100.007940817669748467616261796268600506502831,800,000$
10Mark JankowskiXX97.437037767382747862805761765770630506402911,200,000$
11Lukas SedlakXXX100.007941787375736862706158795972670506403031,000,000$
12Brett HowdenXX100.00804466737875806573595973626254050630251800,000$
13Justin Faulk (A)X99.0075406777779194753080667964747005072N03154,700,000$
14Gustav ForslingX100.0069387579719194703072688063665905070N02713,600,000$
15Jake Sanderson (R)X100.006636847578889264307359835854470506902131,900,000$
16Matt RoyX100.007540817177839460306464815568610506802833,400,000$
17Joel EdmundsonX100.007949556586848456306258855372650506803013,500,000$
18Nick HoldenX100.007337806682798656306458775184770506703611,500,000$
Rayé
1Evgeny KuznetsovX79.037036708278849480798473699774690507103122,500,000$
2Kevin ShattenkirkX100.007139697376849165307059756680740506803443,200,000$
Équipe Mineure
1Nils HoglanderXX100.006737777467736666516357636058490506002211,400,000$
2Brett LeasonXX100.00673978668571805952555964596050050600241700,000$
3Joona Luoto (R)XX100.00703585688174615851515363586457050590261600,000$
4Joseph CramarossaXX100.00694071687465605550515461517465050580302700,000$
5Kristian Reichel (R)X100.00663581697570605950555058546252050570251600,000$
6Justin KirklandXXX100.00673780697564615752515062576657050570271500,000$
7Justin FlorekXXX100.00553575578147594743464856517870050540332500,000$
8Brett SutterXX100.00543878597445505034485255538475050540361800,000$
9Joseph LaBateXX100.00647555558347584835465155557263050530302500,000$
10Luke JohnsonX100.00573778597245564630445055527061050520291800,000$
11Martin ChromiakXX100.00523585607240595035475355585445050520218100,000$
12Lucas Johansen (R)X100.00653582667272675130555565516454050600251400,000$
13Robin Salo (R)X100.00633678697569625630555765546254050600241800,000$
14Dmitri Samorukov (R)X100.00603579667676605030515564536050050590246100,000$
15Ty EmbersonX100.00653583617466655430615766515848050590231400,000$
16Sean DayX100.00573578518254604530474063496252050550257100,000$
17Albert JohanssonX100.005836785871505945304545605356470505402210100,000$
18Kyle RauXXX90.43594871656445575235505357577466050540302500,000$
19Matt IacopelliXX100.00503586508050544637445055457052050510299100,000$
20Antonio StrangesXXX100.00523588636740574630464655565445050510218100,000$
21Pierre-Cedric LabrieX100.00515054508443524130414056508676050510371800,000$
22Tyrell GoulbourneXX100.00563778567145454235414255497060050500291600,000$
23Chaz LuciusX100.00543582587340474230424255535243050490209100,000$
24Jack ThompsonX61.335335845973506048304848615554450505402110100,000$
25Peter DiLiberatoreX100.00603576577154484330434260505848050530238100,000$
MOYENNE D’ÉQUIPE98.7573397477778288725471707671716505069
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 SPÂgeContratSalaire
1Igor Shesterkin100.00879390698189858888877268630507002714,500,000$
Rayé
1Thomas Greiss94.63675956757068666869686786790506203721,000,000$
Équipe Mineure
1Jon Gillies99.0054555291575651535455627062050550291800,000$
2Evan Fitzpatrick100.0052464378555153545558566253050530253100,000$
3Trent Miner100.0050535069535052525253555646050510228100,000$
MOYENNE D’ÉQUIPE97.007776737276797678797870777105066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Bowness40959580506070CAN681100,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jean-Gabriel PageauJetsC67244266162201101612046114411.76%10124718.6251621452170001516255.97%151543201.06010006102
2Roope HintzJetsC/LW6232336521220421041854711917.30%8104816.9010112141209000076246.67%7580021.2403000618
3Kirill KaprizovJetsLW673330631416054752859618611.58%3118517.699918592170000118241.46%8273011.0635000725
4Evgeny KuznetsovJetsC59114051244005610113234838.33%198116.642131532209000002252.70%116500001.0414000223
5Alex KillornJetsC/LW/RW6717284515804680174471349.77%9112016.726121841217000002246.05%7613000.8003000222
6Jake DeBruskJetsLW/RW651925442329579621625411011.73%3105316.205111638212000013447.69%6523000.8401001415
7Gustav ForslingJetsD63636428655757811225545.36%58139122.0831013521860111167000%003000.6000001110
8Justin FaulkJetsD611028381571151426590256011.11%59140323.005611492110001159010%024000.5400101231
9Jake SandersonJetsD6712233518120356071214616.90%79159323.786612342410003215210%008110.4400000223
10Dylan StromeJetsC6792231-2802410610541838.57%587913.13011023000052152.83%93522000.7000000112
11Anders LeeJetsC/LW6716153103557648140389811.43%889613.39000529000003243.86%5730000.6911001310
12Lukas SedlakJetsC/LW/RW661292122915466148232425.00%1469810.580000011221975046.00%40003100.6000102103
13Matt RoyJetsD51116171240047374522322.22%49108521.28112211470000140000%005000.3100000100
14Tyler MotteJetsC/LW/RW6710616-1360778610521469.52%8105815.800001200021931141.43%7021000.3000000022
15Gustav NyquistJetsC/LW/RW673131628032548533743.53%368710.250001011241711133.96%5351000.4701000100
16Joel EdmundsonJetsD5831316106010118294011187.50%5191515.79000130113107000%003000.3500020111
17Kevin ShattenkirkJetsD372121444155515279237.41%3067318.212131182000014100%000000.4200001110
18Nick HoldenJetsD67211131122046302914176.90%61103315.43101320000059000%024000.2500000000
19Mark JankowskiJetsC/LW663710-116030655313355.66%766110.020000000031980154.22%85441000.3000000001
20Brett HowdenJetsC/LW1521334019111641112.50%21399.30000000001201075.00%801000.4300000010
Statistiques d’équipe totales ou en moyenne120622741063719458460120913282108639139710.77%4681975316.3855971524342233246211725432252.59%53554248440.64519227413138
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
1Igor ShesterkinJets58371540.9062.46341861140149264020.778185611043
2Thomas GreissJets97200.9262.025050117230400000948101
3Jon GilliesManitoba Moose (WPG)22000.9521.441250036326001.000328100
Statistiques d’équipe totales ou en moyenne69461740.9102.37404862160178513002216767244


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alex KillornJetsC/LW/RW3407.07.1989No194 Lbs6 ft1NoNoN/ANoNo1Pro Only4,000,000$700,000$4,000,000$700,000$No------------------Lien NHL
Anders LeeJetsC/LW3307.07.1990No235 Lbs6 ft3YesNoN/ANoNo1Pro Only5,000,000$875,000$5,000,000$875,000$No------------------Lien NHL
Brett HowdenJetsC/LW2507.07.1998No203 Lbs6 ft2NoNoN/ANoNo1Pro Only800,000$140,000$800,000$140,000$No------------------Lien NHL
Dylan StromeJetsC2607.07.1997No200 Lbs6 ft3YesNoN/ANoNo1Pro Only3,600,000$630,000$3,600,000$630,000$No------------------Lien / Lien NHL
Evgeny KuznetsovJetsC3107.07.1992No207 Lbs6 ft2NoNoN/ANoNo2Pro Only2,500,000$437,500$2,500,000$437,500$No2,500,000$--------No--------Lien / Lien NHL
Gustav ForslingJetsD2707.07.1996No186 Lbs6 ft0YesNoN/ANoNo1Pro Only3,600,000$630,000$3,600,000$630,000$No------------------Lien / Lien NHL
Gustav NyquistJetsC/LW/RW3407.07.1989No180 Lbs5 ft11NoNoN/ANoNo3Pro Only2,500,000$437,500$2,500,000$437,500$No2,500,000$2,500,000$-------NoNo-------Lien NHL
Igor ShesterkinJetsG2707.07.1996No189 Lbs6 ft1NoNoN/ANoNo1Pro Only4,500,000$787,500$4,500,000$787,500$No------------------Lien NHL
Jake DeBruskJetsLW/RW2607.07.1997No197 Lbs6 ft0YesNoN/ANoNo1Pro Only5,000,000$875,000$5,000,000$875,000$No------------------Lien / Lien NHL
Jake SandersonJetsD2107.07.2002Yes195 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,900,000$332,500$1,900,000$332,500$No1,900,000$1,900,000$-------NoNo-------
Jean-Gabriel PageauJetsC3007.07.1993No185 Lbs5 ft11NoNoN/ANoNo3Pro Only4,300,000$752,500$4,300,000$752,500$No4,300,000$4,300,000$-------NoNo-------Lien NHL
Joel EdmundsonJetsD3007.07.1993No221 Lbs6 ft5NoNoN/ANoNo1Pro Only3,500,000$612,500$3,500,000$612,500$No------------------Lien NHL
Justin FaulkJetsD3107.07.1992No214 Lbs6 ft0YesNoN/ANoNo5Pro Only4,700,000$822,500$4,700,000$822,500$No4,700,000$4,700,000$4,700,000$4,700,000$-----YesYesYesYes-----Lien NHL
Kevin ShattenkirkJetsD3407.07.1989No212 Lbs6 ft0NoNoN/ANoNo4Pro Only3,200,000$560,000$3,200,000$560,000$No3,200,000$3,200,000$3,200,000$------NoNoNo------Lien NHL
Kirill KaprizovJetsLW2607.07.1997No202 Lbs5 ft10YesNoN/ANoNo2Pro Only8,000,000$1,400,000$8,000,000$1,400,000$No8,000,000$--------Yes--------Lien NHL
Lukas SedlakJetsC/LW/RW3007.07.1993No205 Lbs6 ft0NoNoN/ANoNo3Pro Only1,000,000$175,000$1,000,000$175,000$No1,000,000$1,000,000$-------NoNo-------
Mark JankowskiJetsC/LW2907.07.1994No212 Lbs6 ft4NoNoN/ANoNo1Pro Only1,200,000$210,000$1,200,000$210,000$No------------------Lien NHL
Matt RoyJetsD2807.07.1995No205 Lbs6 ft1NoNoN/ANoNo3Pro Only3,400,000$595,000$3,400,000$595,000$No3,400,000$3,400,000$-------NoNo-------Lien NHL
Nick HoldenJetsD3607.07.1987No210 Lbs6 ft4NoNoN/ANoNo1Pro Only1,500,000$262,500$1,500,000$262,500$No------------------Lien NHL
Roope HintzJetsC/LW2607.07.1997No215 Lbs6 ft3YesNoN/ANoNo1Pro Only6,000,000$1,050,000$6,000,000$1,050,000$No------------------Lien / Lien NHL
Thomas GreissJetsG3707.07.1986No219 Lbs6 ft2NoNoN/ANoNo2Pro Only1,000,000$175,000$1,000,000$175,000$No1,000,000$--------No--------Lien NHL
Tyler MotteJetsC/LW/RW2807.07.1995No192 Lbs5 ft10NoNoN/ANoNo3Pro Only1,800,000$315,000$1,800,000$315,000$No1,800,000$1,800,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.50204 Lbs6 ft12.003,318,182$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
73,000,000$34,300,000$22,800,000$7,900,000$4,700,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill KaprizovJean-Gabriel PageauAlex Killorn29113
2Roope HintzDylan StromeJake DeBrusk28113
3Anders LeeLukas SedlakTyler Motte27122
4Brett HowdenMark JankowskiGustav Nyquist16131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin FaulkJake Sanderson36122
2Gustav ForslingMatt Roy36122
3Nick HoldenJoel Edmundson28122
4Nick HoldenJoel Edmundson0140
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill KaprizovJean-Gabriel PageauAlex Killorn50104
2Roope HintzDylan StromeJake DeBrusk50104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin FaulkJake Sanderson60104
2Gustav ForslingMatt Roy40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mark JankowskiTyler Motte50140
2Lukas SedlakGustav Nyquist50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin FaulkJake Sanderson50140
2Gustav ForslingMatt Roy50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lukas Sedlak50140Justin FaulkJake Sanderson50140
2Mark Jankowski50140Gustav ForslingMatt Roy50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jean-Gabriel PageauKirill Kaprizov60113
2Dylan StromeRoope Hintz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin FaulkJake Sanderson60131
2Gustav ForslingMatt Roy40131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill KaprizovJean-Gabriel PageauAlex KillornRoope HintzJustin Faulk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas SedlakJean-Gabriel PageauTyler MotteJustin FaulkJake Sanderson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jean-Gabriel Pageau, Roope Hintz, Anders LeeDylan Strome, Anders LeeJean-Gabriel Pageau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Sanderson, Matt Roy, Justin FaulkNick HoldenNick Holden, Joel Edmundson
Tirs de pénalité
Kirill Kaprizov, Roope Hintz, Alex Killorn, Jake DeBrusk, Gustav Nyquist
Gardien
#1 : Igor Shesterkin, #2 :


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
TotalDomicileVisiteur
# 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
1Avalanche21000001871110000005321000000134-130.750816240032314410171510581522334250.00%9277.78%01240230553.80%1042203951.10%534101152.82%493448132613
2Blackhawks422000001213-1211000005502110000078-140.500122032003360136493948010930286723313.04%13469.23%01240230553.80%1042203951.10%534101152.82%1027289274724
3Blue Jackets21100000651110000003121010000034-120.50061016003120682224220556123910110.00%6266.67%01240230553.80%1042203951.10%534101152.82%503339152915
4Blues32100000101002110000079-21100000031240.6671017270034308831332409632274911436.36%11281.82%01240230553.80%1042203951.10%534101152.82%714971213719
5Bruins21100000440110000002111010000023-120.5004812002020542120130421220385240.00%100100.00%01240230553.80%1042203951.10%534101152.82%493445152411
6Canadiens211000005411010000023-11100000031220.50051015002300451617120521214407114.29%7185.71%01240230553.80%1042203951.10%534101152.82%473249142312
7Canucks22000000633000000000002200000063341.00061016001230721824300512217348112.50%5180.00%01240230553.80%1042203951.10%534101152.82%473043152915
8Capitals1010000023-11010000023-10000000000000.0002460010103171950387413100.00%2150.00%01240230553.80%1042203951.10%534101152.82%1911228178
9Coyotes41200001131212100000110732020000035-230.375132437005531120394038713331405614535.71%19289.47%01240230553.80%1042203951.10%534101152.82%956698305024
10Devils11000000431110000004310000000000021.00048120002203410121201357234125.00%10100.00%01240230553.80%1042203951.10%534101152.82%2416226126
11Ducks3110010010911010000024-22100010085330.5001019291126209132292737821506010440.00%16287.50%01240230553.80%1042203951.10%534101152.82%734966234422
12Flames22000000936000000000002200000093641.00091726005220772729210552022326466.67%11281.82%01240230553.80%1042203951.10%534101152.82%513742132512
13Flyers22000000734110000003211100000041341.000714210022304212171305712203210220.00%8187.50%01240230553.80%1042203951.10%534101152.82%453150142411
14Golden Knights2010010046-21000010023-11010000023-110.2504812001120601421241681930401119.09%14192.86%01240230553.80%1042203951.10%534101152.82%483350142311
15Hurricanes22000000734110000003121100000042241.00071017001240611629160461516306233.33%8187.50%01240230553.80%1042203951.10%534101152.82%493446142411
16Islanders1010000034-11010000034-10000000000000.00035800201030106140248825300.00%4175.00%01240230553.80%1042203951.10%534101152.82%2618225115
17Kings22000000734110000003121100000042241.0007121900340058202117029810327228.57%50100.00%01240230553.80%1042203951.10%534101152.82%513743132512
18Kraken2010001056-11010000024-21000001032120.50057121011219232332556820840400.00%4175.00%01240230553.80%1042203951.10%534101152.82%482940173618
19Lightning21001000734100010003211100000041341.000712190002416916272513112394714321.43%11190.91%11240230553.80%1042203951.10%534101152.82%523743142412
20Maple Leafs22000000743110000003211100000042241.0007132000421075242328062310381616.25%40100.00%01240230553.80%1042203951.10%534101152.82%533841132513
21Oilers20100010330100000103211010000001-120.50033600200168242515653142039700.00%50100.00%01240230553.80%1042203951.10%534101152.82%523646152513
22Panthers22000000954110000004131100000054141.00091625001620601329180581612427342.86%60100.00%01240230553.80%1042203951.10%534101152.82%503646132311
23Penguins220000001055110000005231100000053241.000101929004330602118210621624311327.27%10100.00%01240230553.80%1042203951.10%534101152.82%503844142412
24Predators3210000015872110000011561100000043140.66715274200672011550432208619226414214.29%11281.82%11240230553.80%1042203951.10%534101152.82%745163234121
25Rangers11000000642110000006420000000000021.00061117003120308121002041515500.00%5180.00%01240230553.80%1042203951.10%534101152.82%2619217126
26Red Wings22000000954110000005321100000042241.00091726002340671520320581617449111.11%60100.00%01240230553.80%1042203951.10%534101152.82%543940142413
27Sabres22000000963110000004221100000054141.00091524004230592119190521318429333.33%80100.00%01240230553.80%1042203951.10%534101152.82%493345142513
28Senators11000000422000000000001100000042221.000471100121029911902941219400.00%6183.33%01240230553.80%1042203951.10%534101152.82%2719197126
29Sharks30102000770100010003212010100045-140.667711180030229129272966423224613215.38%100100.00%01240230553.80%1042203951.10%534101152.82%704873233819
30Stars311000108802010001045-11100000043140.66781422002321732224272771828519111.11%120100.00%01240230553.80%1042203951.10%534101152.82%795568213718
31Wild3300000014311220000009181100000052361.0001426400143701093034450631518361119.09%90100.00%01240230553.80%1042203951.10%534101152.82%825960193720
Total67401703232230164663419902121118853333218011111127933960.716230410640227674748210866874267641178746859012092735520.15%2472988.26%21240230553.80%1042203951.10%534101152.82%167511681509488869442
_Since Last GM Reset67401703232230164663419902121118853333218011111127933960.716230410640227674748210866874267641178746859012092735520.15%2472988.26%21240230553.80%1042203951.10%534101152.82%167511681509488869442
_Vs Conference40191202232131101301986011216651152111601111655015520.65013123136222444339712944274394074010883073646791523221.05%1541987.66%11240230553.80%1042203951.10%534101152.82%998692908294527268
_Vs Division22127000128061191374000115135169530000129263280.6368014422401262726368523123021919622160185356861820.93%841285.71%11240230553.80%1042203951.10%534101152.82%555388501157278141

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6796L423041064021081787468590120922
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6740173232230164
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
34199212111885
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
33218111111279
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2735520.15%2472988.26%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
668742676417674748
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
1240230553.80%1042203951.10%534101152.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
167511681509488869442


Derniers matchs 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
17Jets3Flames2AWSommaire du match
322Panthers1Jets4BWSommaire du match
646Kings1Jets3BWSommaire du match
860Golden Knights3Jets2BLXSommaire du match
1079Jets0Oilers1ALSommaire du match
1296Blues3Jets4BWSommaire du match
14109Jets4Red Wings2AWSommaire du match
16125Jets3Canadiens1AWSommaire du match
17136Rangers4Jets6BWSommaire du match
19151Jets2Golden Knights3ALSommaire du match
22175Jets2Coyotes3ALSommaire du match
23181Jets3Blues1AWSommaire du match
25198Predators1Jets8BWSommaire du match
28224Stars4Jets2BLSommaire du match
30239Devils3Jets4BWSommaire du match
32253Sabres2Jets4BWSommaire du match
33262Coyotes2Jets6BWSommaire du match
36284Jets4Lightning1AWSommaire du match
37293Jets5Panthers4AWSommaire du match
40318Jets4Predators3AWSommaire du match
42335Stars1Jets2BWXXSommaire du match
44352Oilers2Jets3BWXXSommaire du match
46367Hurricanes1Jets3BWSommaire du match
47377Blackhawks3Jets2BLSommaire du match
50403Jets3Avalanche4ALXXSommaire du match
52421Jets4Ducks5ALXSommaire du match
55446Jets3Sharks2AWXSommaire du match
56455Jets4Kings2AWSommaire du match
58468Avalanche3Jets5BWSommaire du match
60484Canadiens3Jets2BLSommaire du match
61494Red Wings3Jets5BWSommaire du match
64518Bruins1Jets2BWSommaire du match
67543Jets3Blackhawks5ALSommaire du match
68551Wild1Jets5BWSommaire du match
70569Jets5Wild2AWSommaire du match
72583Lightning2Jets3BWXSommaire du match
74602Jets1Sharks3ALSommaire du match
75613Jets4Ducks0AWSommaire du match
77625Jets1Coyotes2ALSommaire du match
79641Blue Jackets1Jets3BWSommaire du match
81657Blackhawks2Jets3BWSommaire du match
84680Flyers2Jets3BWSommaire du match
85689Islanders4Jets3BLSommaire du match
88710Jets4Senators2AWSommaire du match
92741Jets2Bruins3ALSommaire du match
93749Jets4Maple Leafs2AWSommaire du match
95774Maple Leafs2Jets3BWSommaire du match
97784Jets5Penguins3AWSommaire du match
100816Penguins2Jets5BWSommaire du match
101822Sharks2Jets3BWXSommaire du match
103835Jets4Flyers1AWSommaire du match
105860Jets3Canucks1AWSommaire du match
107874Jets6Flames1AWSommaire du match
108879Wild0Jets4BWSommaire du match
110898Jets4Blackhawks3AWSommaire du match
112912Coyotes5Jets4BLXXSommaire du match
113920Blues6Jets3BLSommaire du match
115938Jets4Stars3AWSommaire du match
117953Jets4Hurricanes2AWSommaire du match
118960Jets5Sabres4AWSommaire du match
120982Kraken4Jets2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122998Jets3Kraken2AWXXSommaire du match
1231007Jets3Canucks2AWSommaire du match
1261031Capitals3Jets2BLSommaire du match
1281048Predators4Jets3BLSommaire du match
1301064Ducks4Jets2BLSommaire du match
1321077Jets3Blue Jackets4ALSommaire du match
1331085Jets-Rangers-
1351100Jets-Devils-
1371116Jets-Capitals-
1381122Jets-Islanders-
1401143Oilers-Jets-
1431166Golden Knights-Jets-
1441176Kings-Jets-
1461191Senators-Jets-
1481211Flames-Jets-
1511233Jets-Wild-
1531250Jets-Predators-
1541258Jets-Stars-
1561276Jets-Avalanche-
1591296Kraken-Jets-
1601308Canucks-Jets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80004000500020001000
Prix des billets112674737213
Assistance267,110133,256164,18563,71333,842
Attendance PCT98.20%97.98%96.58%93.70%99.54%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
7 19474 - 97.37% 1,690,619$57,481,059$20000147

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
60,397,500$ 73,000,000$ 73,000,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
456,250$ 60,315,000$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
11,834,336$ 28 456,875$ 12,792,500$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
13,011,236$ 29,508,738$ 28,331,838$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
73,090,000$ 910,000$ 74,000,000$ 29,090,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Roope HintzAGE:26PO:0OV:74
Kirill KaprizovAGE:26PO:0OV:73
Alex KillornAGE:34PO:0OV:72
Jake DeBruskAGE:26PO:0OV:71
Anders LeeAGE:33PO:0OV:70
Gustav NyquistAGE:34PO:0OV:68
Tyler MotteAGE:28PO:0OV:65
Mark JankowskiAGE:29PO:0OV:64
Lukas SedlakAGE:30PO:0OV:64
Brett HowdenAGE:25PO:0OV:63
Nils HoglanderAGE:22PO:0OV:60
Joona Luoto (R)AGE:26PO:0OV:59
Joseph CramarossaAGE:30PO:0OV:58
Justin KirklandAGE:27PO:0OV:57
Kyle RauAGE:30PO:0OV:54
Justin FlorekAGE:33PO:0OV:54
Brett SutterAGE:36PO:0OV:54
Joseph LaBateAGE:30PO:0OV:53
Martin ChromiakAGE:21PO:0OV:52
Matt IacopelliAGE:29PO:0OV:51
Antonio StrangesAGE:21PO:0OV:51
Pierre-Cedric LabrieAGE:37PO:0OV:51
Tyrell GoulbourneAGE:29PO:0OV:50
Roope HintzAGE:26PO:0OV:74
Alex KillornAGE:34PO:0OV:72
Jean-Gabriel PageauAGE:30PO:0OV:72
Evgeny KuznetsovAGE:31PO:0OV:71
Dylan StromeAGE:26PO:0OV:70
Anders LeeAGE:33PO:0OV:70
Gustav NyquistAGE:34PO:0OV:68
Tyler MotteAGE:28PO:0OV:65
Mark JankowskiAGE:29PO:0OV:64
Lukas SedlakAGE:30PO:0OV:64
Brett HowdenAGE:25PO:0OV:63
Brett LeasonAGE:24PO:0OV:60
Joseph CramarossaAGE:30PO:0OV:58
Kristian Reichel (R)AGE:25PO:0OV:57
Justin KirklandAGE:27PO:0OV:57
Kyle RauAGE:30PO:0OV:54
Justin FlorekAGE:33PO:0OV:54
Brett SutterAGE:36PO:0OV:54
Joseph LaBateAGE:30PO:0OV:53
Luke JohnsonAGE:29PO:0OV:52
Antonio StrangesAGE:21PO:0OV:51
Chaz LuciusAGE:20PO:0OV:49
Alex KillornAGE:34PO:0OV:72
Jake DeBruskAGE:26PO:0OV:71
Gustav NyquistAGE:34PO:0OV:68
Tyler MotteAGE:28PO:0OV:65
Lukas SedlakAGE:30PO:0OV:64
Nils HoglanderAGE:22PO:0OV:60
Brett LeasonAGE:24PO:0OV:60
Joona Luoto (R)AGE:26PO:0OV:59
Justin KirklandAGE:27PO:0OV:57
Kyle RauAGE:30PO:0OV:54
Justin FlorekAGE:33PO:0OV:54
Martin ChromiakAGE:21PO:0OV:52
Matt IacopelliAGE:29PO:0OV:51
Antonio StrangesAGE:21PO:0OV:51
Tyrell GoulbourneAGE:29PO:0OV:50

Défense #1Défense #2Gardien
Justin FaulkAGE:31PO:0OV:72
Gustav ForslingAGE:27PO:0OV:70
Jake Sanderson (R)AGE:21PO:0OV:69
Kevin ShattenkirkAGE:34PO:0OV:68
Matt RoyAGE:28PO:0OV:68
Joel EdmundsonAGE:30PO:0OV:68
Nick HoldenAGE:36PO:0OV:67
Lucas Johansen (R)AGE:25PO:0OV:60
Robin Salo (R)AGE:24PO:0OV:60
Dmitri Samorukov (R)AGE:24PO:0OV:59
Ty EmbersonAGE:23PO:0OV:59
Sean DayAGE:25PO:0OV:55
Albert JohanssonAGE:22PO:0OV:54
Jack ThompsonAGE:21PO:0OV:54
Peter DiLiberatoreAGE:23PO:0OV:53
Igor ShesterkinAGE:27PO:0OV:70
Thomas GreissAGE:37PO:0OV:62
Jon GilliesAGE:29PO:0OV:55
Evan FitzpatrickAGE:25PO:0OV:53
Trent MinerAGE:22PO:0OV:51

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Alex PharandJets00
Alexander NikishinJets00
Amir MiftakhovJets00
Artem ShlaineJets00
Ayrton MartinoJets00
Brennan AliJets00
Carsen MusserJets00
Carter GylanderJets00
Daniil PylenkovJets00
Danil SavunovJets00
Dennis BusbyJets00
Devin KaplanJets00
Emil JohanssonJets00
Hampton SlukynskyJets00
Jared MoeJets00
Jesper EliassonJets00
Kyle KukkonenJets00
Linus SjodinJets00
Marat KhusnutdinovJets00
Matthew ThiessenJets00
Mikhail IlyinJets00
Roman KantserovJets00
Semyon VyazovoyJets00
Simon BourqueJets00
Thimo NicklJets00
Ty HenricksJets00
Ty MurchisonJets00
Veeti MiettinenJets00
Yegor RykovJets00
Yegor SpiridonovJets00
Yegor ZaitsevJets00

Choix au repêchage

Année R1R2R3R4R5R6R7
24
25
26
27
28
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Jets Historique de transactions

[13.03.2024 23:28:25] - TRADE : From Jets to Bruins : Tyler Wall (52).
[13.03.2024 23:28:25] - TRADE : From Bruins to Jets : $200,000 (Money).
[11.12.2023 21:09:23] - Kyle Rau has been selected as assistant for Manitoba Moose.
[11.12.2023 21:09:23] - Unknown Player is no longer as assistant for Manitoba Moose.
[11.12.2023 21:09:23] - Justin Florek has been selected as assistant for Manitoba Moose.
[11.12.2023 21:09:23] - Unknown Player is no longer as assistant for Manitoba Moose.
[11.12.2023 21:09:23] - Brett Sutter has been selected as captain for Manitoba Moose.
[11.12.2023 21:09:23] - Unknown Player is no longer captain for Manitoba Moose.
[11.12.2023 21:09:23] - Jean-Gabriel Pageau has been selected as assistant for Jets.
[11.12.2023 21:09:23] - Kevin Shattenkirk is no longer as assistant for Jets.
[11.12.2023 21:09:23] - Justin Faulk has been selected as assistant for Jets.
[11.12.2023 21:09:23] - Unknown Player is no longer as assistant for Jets.
[11.12.2023 21:09:23] - Alex Killorn has been selected as captain for Jets.
[11.12.2023 21:09:23] - Unknown Player is no longer captain for Jets.
[21.11.2023 1:45:58] - Jets hired Rick Bowness for $100,000 for 1 year(s).
[17.11.2023 22:12:57] - Joseph Cramarossa signed with Jets for $700,000 for 2 year(s).
[17.11.2023 22:12:57] - Joseph Cramarossa was added to Jets.
[17.11.2023 21:07:41] - TRADE : From Senators to Jets : $1,650,000 (Money).
[17.11.2023 21:01:46] - Anders Lee signed with Jets for $5,000,000 for 1 year(s) / Option : No Trade & Signing Bonus of $3,000,000.
[17.11.2023 21:01:46] - Anders Lee was added to Jets.



[22.04.2024 22:00:01] Mark Jankowski from Jets is back from Right Foot Injury.
[22.04.2024 22:00:01] Game 1077 - Kyle Rau from Manitoba Moose is injured (Sports Hernia) and is out for 1 week.
[22.04.2024 22:00:01] Thomas Greiss from Jets injured (Exhaustion)
[22.04.2024 22:00:01] Game 1077 - Mark Jankowski from Jets is injured (Right Foot) and is out for 4 days.
[20.04.2024 22:32:02] Joona Luoto from Manitoba Moose is back from Back Spasms Injury.
[20.04.2024 22:32:02] Game 1064 - Joona Luoto from Manitoba Moose is injured (Back Spasms) and is out for 1 days.
[20.04.2024 22:30:42] Jets roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[19.04.2024 21:24:59] Thomas Greiss from Jets is back from Exhaustion.
[18.04.2024 21:44:16] Thomas Greiss from Jets injured (Exhaustion)
[18.04.2024 21:41:38] Jon Gillies of Jets was sent to farm.
[16.04.2024 23:45:25] Thomas Greiss from Jets is back from Strained Right Elbow Injury.
[11.04.2024 21:58:50] Auto Lines Function has been run for Manitoba Moose.
[11.04.2024 21:58:10] Manitoba Moose roster errors : Not enough Defenseman available in Farm Team! 5 Dressed. 6 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.



Thomas Greiss est dehors pour 1 jours à cause de Exhaustion.
Kyle Rau est dehors pour 5 jours à cause de Sports Hernia Injury.
Jack Thompson est dehors pour 1 mois à cause de Torn Left ACL Injury.
Evgeny Kuznetsov est dehors pour 2 semaines à cause de Torn Right ACL Injury.



Jets Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Jets Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Jets Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Jets Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Jets Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA