Jets
GP: 26 | W: 14 | L: 10 | OTL: 2 | P: 30
GF: 83 | GA: 82 | PP%: 16.44% | PK%: 79.46%
DG: Sam Vienneau | Morale : 75 | Moyenne d’équipe : 70
Prochain matchs #441 vs Sharks
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Centre de jeu
Jets
14-10-2, 30pts
4
FINAL
5 Avalanche
12-10-5, 29pts
Team Stats
L5StreakL1
8-4-2Home Record6-5-2
6-6-0Away Record6-5-3
5-5-0Last 10 Games6-3-1
3.19Goals Per Game3.15
3.15Goals Against Per Game3.22
16.44%Power Play Percentage17.95%
79.46%Penalty Kill Percentage86.73%
Jets
14-10-2, 30pts
3
FINAL
7 Ducks
9-16-2, 20pts
Team Stats
L5StreakW2
8-4-2Home Record5-10-0
6-6-0Away Record4-6-2
5-5-0Last 10 Games4-5-1
3.19Goals Per Game2.85
3.15Goals Against Per Game3.52
16.44%Power Play Percentage22.92%
79.46%Penalty Kill Percentage83.76%
Jets
14-10-2, 30pts
2023-12-12
Sharks
15-11-2, 32pts
Statistiques d’équipe
L5SéquenceSOL1
8-4-2Fiche domicile7-5-1
6-6-0Fiche visiteur8-6-1
5-5-010 derniers matchs5-4-1
3.19Buts par match 3.07
3.15Buts contre par match 2.79
16.44%Pourcentage en avantage numérique22.45%
79.46%Pourcentage en désavantage numérique82.98%
Jets
14-10-2, 30pts
2023-12-13
Kings
14-11-0, 28pts
Statistiques d’équipe
L5SéquenceL3
8-4-2Fiche domicile7-5-0
6-6-0Fiche visiteur7-6-0
5-5-010 derniers matchs4-6-0
3.19Buts par match 2.88
3.15Buts contre par match 2.36
16.44%Pourcentage en avantage numérique26.25%
79.46%Pourcentage en désavantage numérique85.23%
Avalanche
12-10-5, 29pts
2023-12-16
Jets
14-10-2, 30pts
Statistiques d’équipe
L1SéquenceL5
6-5-2Fiche domicile8-4-2
6-5-3Fiche visiteur6-6-0
6-3-110 derniers matchs5-5-0
3.15Buts par match 3.19
3.22Buts contre par match 3.15
17.95%Pourcentage en avantage numérique16.44%
86.73%Pourcentage en désavantage numérique79.46%
Meneurs d'équipe
Bo HorvatButs
Bo Horvat
13
Bo HorvatPasses
Bo Horvat
18
Bo HorvatPoints
Bo Horvat
31
Neal PionkPlus/Moins
Neal Pionk
13
Elvis MerzlikinsVictoires
Elvis Merzlikins
7
Sam MontembeaultPourcentage d’arrêts
Sam Montembeault
0.904

Statistiques d’équipe
Buts pour
83
3.19 GFG
Tirs pour
805
30.96 Avg
Pourcentage en avantage numérique
16.4%
12 GF
Début de zone offensive
42.0%
Buts contre
82
3.15 GAA
Tirs contre
720
27.69 Avg
Pourcentage en désavantage numérique
79.5%
23 GA
Début de la zone défensive
38.9%
Information d’équipe

Directeur généralSam Vienneau
EntraîneurCraig Berube
DivisionDivision Centrale
ConférenceWestern Conference
CapitaineBo Horvat
Assistant #1Ryan Nugent-Hopkins
Assistant #2


Informations de l’aréna

NomMTS Centre
Capacité18,000
Assistance17,127
Billets de saison1,800


Information formation

Équipe Pro20
Équipe Mineure21
Limite contact 41 / 80
Espoirs15


Plafond salarial

Cap Salarial de la Saison estimé81,277,554$
Plafond salarial disponible2,222,446$
Valeur du plafond salarial spécial3,791,500$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour33,016,088$
Dépenses annuelles à ce jour26,531,944$
Revenus de la saison estimés63,673,884$
Dépenses de la saison estimées55,052,530$
Compte bancaire actuel26,983,257$
Compte bancaire projeté35,917,323$


Historique d'équipe

Saison actuelle14-10-2 (30PTS)
Historique116-62-22 (0.580%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)1-4
Stanley Cup0


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
1Mark Scheifele0X99.005843868183918882797986688378820757502927,190,000$
2Bo Horvat (C)0X99.006535887979918881877685838175800757502757,147,000$
3Ryan Nugent-Hopkins (A)0XX99.005938898373908783738878857980720757502937,808,000$
4Nino Niederreiter0XX100.007937897684868974567177657581750757203012,950,000$
5Tyler Toffoli0XXX100.006335927375879080577778677579740757203064,000,000$
6Josh Anderson0XX99.008376718187888672596676687372740757102844,600,000$
7Derek Grant0XX100.006340866785838265827068866676740756903212,000,000$
8Nic Dowd26XX100.008335836776838465826869896276750756903232,750,000$
9Brock McGinn0XX100.007037926772838665556268876572740756802832,000,000$
10Eric Robinson0X100.007436956781838664576966836269710756802721,979,000$
11Matt Nieto0XX100.006437936872838965596463776478720756703031,930,000$
12Jonathan Drouin0XXX99.005837867672867775747860637671680756702732,856,000$
13Vladislav Gavrikov0X98.007038786888938965307663955269700757002744,427,000$
14Nick Jensen0X99.007439926878908965307662875276740756903213,000,000$
15Carson Soucy29X99.007975746691898764307267815470720756902833,463,000$
16Nikita Zaitsev0X100.007939866779858162306960825074750756703143,301,000$
17Ryan Murray0X100.006837956579806964306858705072730756502934,425,000$
Rayé
1Neal Pionk0X99.008540827573929070307965775470720757002745,521,000$
Équipe Mineure
1Josh Leivo0XX100.00693982697978816466706863687172075660291750,000$
2Brandon Biro (R)0X100.00613590666882786562646061636665075630241925,000$
3Max Jones (R)0X100.00744966658781736257636456636668075630243950,000$
4Antonio Stranges (R)0X100.00573595676877626672645956676163075620203950,000$
5Alexander True0X100.00814178599177865765585560566668075620251800,000$
6T.J. Tynan0XXX100.005936866260808561736454605771750756203021,000,000$
7Jachym Kondelik (R)0X100.00894283569871665361555462526466075610233950,000$
8Emilio Pettersen (R)0X100.00573885626681826163626156626465075610221925,000$
9Jan Mysak (R)0X100.00583694586777665761535662596163075590203950,000$
10Tuukka Tieksola (R)0X100.00603689626067695862605753586264075590213950,000$
11Zayde Wisdom (R)0X100.00623789567169675361555456526163075580203950,000$
12Ryan McGregor (R)0XX100.00593789566875735556545753566466075580231925,000$
13Guillaume Brisebois (R)0X100.00643786677582746330625968506668075640251954,000$
14Vladislav Kolyachonok (R)0X100.00673984647682865830605961506264075620211925,000$
15William Trudeau (R)0X100.00654171587473705730605556476163075590203950,000$
16Nick Wolff (R)0X100.00867152539567725230545161456769075590261750,000$
17Ryan Jones (R)0X100.00694174547866865330545355456769075590261750,000$
18Marc Del Gaizo (R)0X100.00593882576872865630615354476466075590232950,000$
19Brian Pinho0X100.00663892617585745863615960626870075620271925,000$
MOYENNE D’ÉQUIPE99.4471428772798785705673697965747407570
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
1Elvis Merzlikins99.00889590808786888786888771830757302854,000,000$
2Sam Montembeault (R)100.0086959186858486858486856877075720261961,400$
Rayé
Équipe Mineure
1Aaron Dell100.0074686977737274737274737588075650333838,800$
2J-F Berube100.0074616273747274737274737286075650312850,000$
MOYENNE D’ÉQUIPE99.508795918386858786858786708007573
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Berube81829185857962CAN5714,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’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
1Bo HorvatJetsC261318316601654108418012.04%651619.8743717640001172050.45%67200011.2000000222
2Ryan Nugent-HopkinsJetsC/LW2613142710001364115296711.30%651919.9735812660001152150.00%16600001.0400000302
3Mark ScheifeleJetsC267121964010489836547.14%646717.970118501011100052.29%56800000.8100000020
4Neal PionkJetsD262171913280682717111911.76%2959422.85055961000018000.00%000000.6400000010
5Vladislav GavrikovJetsD263131611260313830121410.00%3261823.791121464011092100.00%000000.5200000100
6Tyler ToffoliJetsC/LW/RW275101544018276723597.46%147717.680221381000002033.33%2700000.6311000002
7Nic DowdJetsC/RW266713280294240142915.00%833612.9300001100021011051.19%37700000.7700000120
8Brock McGinnJetsLW/RW263710520122125172012.00%331412.110000000021071036.67%3000000.6400000001
9Jonathan DrouinJetsC/LW/RW26551044015183131716.13%236313.97000649000001038.78%4900000.5500000100
10Josh AndersonJetsLW/RW265510-2295882149153410.20%447518.31101854000001056.67%3000000.4200001111
11Carson SoucyJetsD262810349580202911146.90%3656121.591011357000068100.00%000000.3600001100
12Nino NiederreiterJetsLW/RW264596120311937113910.81%330811.8710119000000056.52%2300000.5800000011
13Derek GrantJetsC/LW264480401932438269.30%92559.84000000001531054.47%23500000.6300000010
14Ryan MurrayJetsD24268-71401820153413.33%2839816.60033434000043000.00%000000.4000000000
15Nick JensenJetsD2015661602629183155.56%3444822.41011647000171000.00%000000.2700000001
16Matt NietoJetsLW/RW26224-440812213109.52%21776.8100000000021058.33%1200000.4500000000
17Nikita ZaitsevJetsD15033-112026135440.00%2124216.1800012000043000.00%000000.2500000000
18Eric RobinsonJetsLW26022-31001721337290.00%727310.50000000000510050.00%1800000.1500000000
19Josh LeivoMoose (WPG)LW/RW4000-120220000.00%0153.7600000000000050.00%200000.0000000000
20Guillaume BriseboisMoose (WPG)D2000020110000.00%12613.320000000001000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne4567714322058236105285297812515349.86%238739016.21112132112658112970014150.97%220900010.6011002101010
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
1Elvis MerzlikinsJets217940.8883.24122221665880010.78614206100
2Sam MontembeaultJets116210.9042.4760801252600000.0000917001
Statistiques d’équipe totales ou en moyenne32131150.8932.98183022918480010.786142923101


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 Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial 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 10Link
Bo Horvat (contrat à 1 volet)JetsC274/5/1995No215 Lbs6 ft0NoNoYes5Pro & Farm7,147,000$4,839,115$5,617,000$3,803,177$7,147,000$4,839,115$No7,147,000$7,147,000$7,147,000$7,147,000$Lien / Lien NHL
Brock McGinn (contrat à 1 volet)JetsLW/RW282/2/1994No187 Lbs6 ft0NoNoYes3Pro & Farm2,000,000$1,354,167$2,000,000$1,354,167$2,000,000$1,354,167$No2,000,000$2,000,000$Lien / Lien NHL
Carson Soucy (contrat à 1 volet)JetsD287/27/1994No208 Lbs6 ft5NoNoYes3Pro & Farm3,463,000$2,344,740$3,463,000$2,344,740$3,463,000$2,344,740$No3,463,000$3,463,000$Lien / Lien NHL
Derek Grant (contrat à 1 volet)JetsC/LW324/20/1990No210 Lbs6 ft3NoNoYes1Pro & Farm2,000,000$1,354,167$2,000,000$1,354,167$2,000,000$1,354,167$NoLien / Lien NHL
Elvis Merzlikins (contrat à 1 volet)JetsG284/13/1994No183 Lbs6 ft3NoNoYes5Pro & Farm4,000,000$2,708,333$4,000,000$2,708,333$4,000,000$2,708,333$No4,000,000$4,000,000$4,000,000$4,000,000$Lien / Lien NHL
Eric Robinson (contrat à 1 volet)JetsLW276/14/1995No205 Lbs6 ft2NoNoYes2Pro & Farm1,979,000$1,339,948$1,979,000$1,339,948$1,979,000$1,339,948$No1,979,000$Lien / Lien NHL
Jonathan Drouin (contrat à 1 volet)JetsC/LW/RW273/28/1995No198 Lbs5 ft11NoNoNo3Pro & Farm2,856,000$1,933,750$3,600,000$2,437,500$2,856,000$1,933,750$No2,856,000$2,856,000$Lien / Lien NHL
Josh Anderson (contrat à 1 volet)JetsLW/RW285/7/1994No218 Lbs6 ft3NoNoNo4Pro & Farm4,600,000$3,114,583$4,600,000$3,114,583$4,600,000$3,114,583$No4,600,000$4,600,000$4,600,000$Lien / Lien NHL
Mark Scheifele (contrat à 1 volet)JetsC293/15/1993No198 Lbs6 ft3NoNoYes2Pro & Farm7,190,000$4,868,229$7,190,000$4,868,229$7,190,000$4,868,229$No7,190,000$Lien / Lien NHL
Matt Nieto (contrat à 1 volet)JetsLW/RW3011/5/1992No187 Lbs5 ft11NoNoYes3Pro & Farm1,930,000$1,306,771$1,930,000$1,306,771$1,930,000$1,306,771$No1,930,000$1,930,000$Lien / Lien NHL
Neal Pionk (contrat à 1 volet)JetsD277/29/1995No185 Lbs6 ft0NoNoYes4Pro & Farm5,521,000$3,738,177$5,114,000$3,462,604$5,521,000$3,738,177$No5,521,000$5,521,000$5,521,000$Lien / Lien NHL
Nic Dowd (contrat à 1 volet)JetsC/RW325/27/1990No193 Lbs6 ft1NoNoYes3Pro & Farm2,750,000$1,861,979$2,750,000$1,861,979$2,750,000$1,861,979$No2,750,000$2,750,000$Lien / Lien NHL
Nick Jensen (contrat à 1 volet)JetsD329/21/1990No205 Lbs6 ft1NoNoYes1Pro & Farm3,000,000$2,031,250$3,000,000$2,031,250$3,000,000$2,031,250$NoLien / Lien NHL
Nikita Zaitsev (contrat à 1 volet)JetsD3110/29/1991No192 Lbs6 ft2NoNoYes4Pro & Farm3,301,000$2,235,052$5,101,000$3,453,802$3,301,000$2,235,052$No3,301,000$3,301,000$3,301,000$Lien / Lien NHL
Nino Niederreiter (contrat à 1 volet)JetsLW/RW309/8/1992No218 Lbs6 ft2NoNoNo1Pro & Farm2,950,000$1,997,396$2,950,000$1,997,396$2,950,000$1,997,396$NoLien / Lien NHL
Ryan Murray (contrat à 1 volet)JetsD299/27/1993No206 Lbs6 ft1NoNoNo3Pro & Farm4,425,000$2,996,094$4,425,000$2,996,094$4,425,000$2,996,094$No4,425,000$4,425,000$Lien / Lien NHL
Ryan Nugent-Hopkins (contrat à 1 volet)JetsC/LW294/12/1993No195 Lbs6 ft0NoNoYes3Pro & Farm7,808,000$5,286,667$7,808,000$5,286,667$7,808,000$5,286,667$No7,808,000$7,808,000$Lien / Lien NHL
Sam MontembeaultJetsG2610/30/1996Yes214 Lbs6 ft3NoNoYes1Pro & Farm961,400$650,948$961,400$650,948$961,400$650,948$NoLien / Lien NHL
Tyler Toffoli (contrat à 1 volet)JetsC/LW/RW304/24/1992No203 Lbs6 ft0NoNoYes6Pro & Farm4,000,000$2,708,333$4,000,000$2,708,333$4,000,000$2,708,333$No6,410,000$6,410,000$6,410,000$6,410,000$6,410,000$Lien / Lien NHL
Vladislav Gavrikov (contrat à 1 volet)JetsD2711/21/1995No221 Lbs6 ft3NoNoYes4Pro & Farm4,427,000$2,997,448$950,000$643,229$4,427,000$2,997,448$No4,427,000$4,427,000$4,427,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.85202 Lbs6 ft23.053,815,420$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
76,308,400$69,807,000$60,638,000$35,406,000$17,557,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1
Nugent-Hopkins
Horvat
Drouin
35023
2
Anderson
Scheifele
35113
3
McGinn
Dowd
26
Niederreiter
15131
4
Robinson
Grant
Nieto
15131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Gavrikov
40122
2
Soucy
29
Jensen
30131
3
Zaitsev
20140
4
Soucy
29
10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1
Nugent-Hopkins
Horvat
60122
2
Anderson
Scheifele
Drouin
40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Gavrikov
60122
2
Jensen
Soucy
29
40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1
Dowd
26
McGinn
60122
2
Grant
Robinson
40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Gavrikov
Jensen
60122
2
Zaitsev
Soucy
29
40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1
Dowd
26
60122
Gavrikov
Jensen
60122
2
Grant
40122
Zaitsev
Soucy
29
40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1
Horvat
Anderson
60122
2
Scheifele
40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Zaitsev
60122
2
Gavrikov
Jensen
40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nugent-Hopkins
Horvat
Jensen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nugent-Hopkins
Horvat
Soucy
29
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Anderson
Dowd
26
Robinson
Niederreiter
Dowd
26
Robinson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zaitsev
Gavrikov
Soucy
29
Jensen
Tirs de pénalité
Horvat
Nugent-Hopkins
Scheifele
Niederreiter
Gardien
#1 :
Montembeault
#2 :
Lignes d’attaque personnalisées en prolongation
Horvat
Nugent-Hopkins
Scheifele
Niederreiter
Drouin
Anderson
Dowd
26
Robinson
Grant
Lignes de défense personnalisées en prolongation
Gavrikov
Soucy
29
Zaitsev
Jensen


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
1Avalanche1010000045-1000000000001010000045-100.0004812001210311012902461234400.00%3166.67%049892753.72%41785948.54%22442352.96%2215257126
2Blackhawks1010000023-11010000023-10000000000000.00024600011029117110205420300.00%2150.00%049892753.72%41785948.54%22442352.96%2417246115
3Blues20101000660100010004311010000023-120.50061016000321642514241502316416233.33%8187.50%149892753.72%41785948.54%22442352.96%483346132512
4Canadiens11000000303000000000001100000030321.000336011200174850151110213133.33%40100.00%049892753.72%41785948.54%22442352.96%2114257126
5Coyotes220000001064110000006331100000043141.000101727001540661824240611622484125.00%10370.00%049892753.72%41785948.54%22442352.96%493545132512
6Devils10001000541100010005410000000000021.000591400121132381743910817100.00%3233.33%049892753.72%41785948.54%22442352.96%2417247146
7Ducks1010000037-4000000000001010000037-400.0003580021003316116034712193133.33%6350.00%049892753.72%41785948.54%22442352.96%2517207147
8Flames1010000034-1000000000001010000034-100.000358002100291181002698244250.00%4250.00%049892753.72%41785948.54%22442352.96%2517226126
9Golden Knights2010010047-31000010023-11010000024-210.2504812002020572415180542025497114.29%10190.00%049892753.72%41785948.54%22442352.96%432951142512
10Hurricanes1010000012-11010000012-10000000000000.000123000100299146033121022300.00%50100.00%049892753.72%41785948.54%22442352.96%2215257115
11Kings11000000532110000005320000000000021.00058130021203112712027108173133.33%20100.00%049892753.72%41785948.54%22442352.96%2316247126
12Lightning10001000321000000000001000100032121.0003580011013110885288821400.00%4175.00%049892753.72%41785948.54%22442352.96%2415228147
13Oilers2110000057-21010000004-41100000053220.500591400212068172328048231445600.00%7271.43%049892753.72%41785948.54%22442352.96%483447132412
14Panthers22000000642110000003211100000032141.00061218000330652026190491826517228.57%13284.62%049892753.72%41785948.54%22442352.96%453048142512
15Predators210010001073100010006511100000042241.00010182800423167201927169232446400.00%120100.00%049892753.72%41785948.54%22442352.96%483347132412
16Rangers1010000036-31010000036-30000000000000.0003690012002881010026106243133.33%3233.33%049892753.72%41785948.54%22442352.96%2518237115
17Red Wings1010000035-2000000000001010000035-200.000369102100271368042122119000.00%6183.33%049892753.72%41785948.54%22442352.96%2013267136
18Sabres1000010023-11000010023-10000000000010.50024600110039121310425111221300.00%5180.00%049892753.72%41785948.54%22442352.96%2315248136
19Stars22000000514220000005140000000000041.0005101501221062142820050171041500.00%50100.00%049892753.72%41785948.54%22442352.96%503643142613
Total2610100420083821145403200444221256010003940-1300.5778314923212253222480525726127215720251256580731216.44%1122379.46%149892753.72%41785948.54%22442352.96%618425619187329164
_Since Last GM Reset2610100420083821145403200444221256010003940-1300.5778314923212253222480525726127215720251256580731216.44%1122379.46%149892753.72%41785948.54%22442352.96%618425619187329164
_Vs Conference177702100575619420210030255835000002731-4190.55957102159011819182537178168189246315915538449816.33%691479.71%149892753.72%41785948.54%22442352.96%409285398119213107
_Vs Division1053020003728963102000231584220000014131140.700376710401815122319981041152274908823026311.54%40685.00%149892753.72%41785948.54%22442352.96%2421712326912562

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2630L58314923280572025125658012
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
26101042008382
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
145432004442
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
125610003940
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
731216.44%1122379.46%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
257261272152532224
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
49892753.72%41785948.54%22442352.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
618425619187329164


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
2 - 2023-10-119Jets3Flames4ALSommaire du match
5 - 2023-10-1420Panthers2Jets3BWSommaire du match
8 - 2023-10-1745Kings3Jets5BWSommaire du match
10 - 2023-10-1958Golden Knights3Jets2BLXSommaire du match
12 - 2023-10-2178Jets5Oilers3AWSommaire du match
15 - 2023-10-2493Blues3Jets4BWXSommaire du match
17 - 2023-10-26102Jets3Red Wings5ALSommaire du match
19 - 2023-10-28122Jets3Canadiens0AWSommaire du match
21 - 2023-10-30134Rangers6Jets3BLSommaire du match
24 - 2023-11-02155Jets2Golden Knights4ALSommaire du match
26 - 2023-11-04160Jets4Coyotes3AWSommaire du match
29 - 2023-11-07184Jets2Blues3ALSommaire du match
31 - 2023-11-09200Predators5Jets6BWXSommaire du match
33 - 2023-11-11211Stars1Jets2BWSommaire du match
36 - 2023-11-14236Devils4Jets5BWXSommaire du match
39 - 2023-11-17252Sabres3Jets2BLXSommaire du match
40 - 2023-11-18259Coyotes3Jets6BWSommaire du match
44 - 2023-11-22284Jets3Lightning2AWXSommaire du match
46 - 2023-11-24304Jets3Panthers2AWSommaire du match
48 - 2023-11-26319Jets4Predators2AWSommaire du match
50 - 2023-11-28332Stars0Jets3BWSommaire du match
52 - 2023-11-30349Oilers4Jets0BLSommaire du match
54 - 2023-12-02357Blackhawks3Jets2BLSommaire du match
56 - 2023-12-04376Hurricanes2Jets1BLSommaire du match
59 - 2023-12-07402Jets4Avalanche5ALSommaire du match
62 - 2023-12-10425Jets3Ducks7ALSommaire du match
64 - 2023-12-12441Jets-Sharks-
65 - 2023-12-13446Jets-Kings-
68 - 2023-12-16462Avalanche-Jets-
70 - 2023-12-18481Canadiens-Jets-
72 - 2023-12-20495Red Wings-Jets-
74 - 2023-12-22512Bruins-Jets-
79 - 2023-12-27538Jets-Blackhawks-
82 - 2023-12-30555Wild-Jets-
83 - 2023-12-31564Jets-Wild-
85 - 2024-01-02580Lightning-Jets-
87 - 2024-01-04601Jets-Sharks-
88 - 2024-01-05604Jets-Ducks-
90 - 2024-01-07619Jets-Coyotes-
92 - 2024-01-09631Blue Jackets-Jets-
94 - 2024-01-11648Blackhawks-Jets-
96 - 2024-01-13657Flyers-Jets-
99 - 2024-01-16685Islanders-Jets-
103 - 2024-01-20709Jets-Senators-
105 - 2024-01-22724Jets-Bruins-
107 - 2024-01-24740Jets-Maple Leafs-
110 - 2024-01-27763Maple Leafs-Jets-
120 - 2024-02-06788Jets-Penguins-
122 - 2024-02-08797Jets-Flyers-
124 - 2024-02-10810Penguins-Jets-
128 - 2024-02-14834Sharks-Jets-
131 - 2024-02-17860Jets-Canucks-
133 - 2024-02-19873Jets-Flames-
134 - 2024-02-20880Wild-Jets-
137 - 2024-02-23901Jets-Blackhawks-
139 - 2024-02-25919Coyotes-Jets-
141 - 2024-02-27934Blues-Jets-
143 - 2024-02-29947Jets-Stars-
145 - 2024-03-02956Jets-Hurricanes-
146 - 2024-03-03972Jets-Sabres-
148 - 2024-03-05986Kraken-Jets-
151 - 2024-03-081008Jets-Kraken-
152 - 2024-03-091019Jets-Canucks-
154 - 2024-03-111029Capitals-Jets-
156 - 2024-03-131042Predators-Jets-
158 - 2024-03-151057Ducks-Jets-
160 - 2024-03-171076Jets-Blue Jackets-
162 - 2024-03-191085Jets-Rangers-
164 - 2024-03-211102Jets-Devils-
166 - 2024-03-231113Jets-Islanders-
167 - 2024-03-241124Jets-Capitals-
169 - 2024-03-261142Oilers-Jets-
171 - 2024-03-281158Golden Knights-Jets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2024-03-301170Senators-Jets-
175 - 2024-04-011187Kings-Jets-
178 - 2024-04-041209Flames-Jets-
180 - 2024-04-061219Jets-Wild-
183 - 2024-04-091247Jets-Predators-
185 - 2024-04-111262Jets-Stars-
187 - 2024-04-131272Jets-Avalanche-
190 - 2024-04-161300Kraken-Jets-
192 - 2024-04-181308Canucks-Jets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité57504750375027501000
Prix des billets115807050295
Assistance77,45864,72349,61036,50411,479
Attendance PCT96.22%97.33%94.50%94.82%81.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 17127 - 95.15% 2,358,292$33,016,088$1800090

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
26,531,944$ 77,308,400$ 74,438,400$ 0$ 3,791,500$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
402,648$ 25,141,814$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
63,673,884$ 130 423,481$ 55,052,530$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
56,908,930$ 26,983,257$ 35,917,323$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
81,277,554$ 2,222,446$ 83,500,000$ 19,277,554$

Retained Salary
Player2023-20242024-20252025-20262026-20272027-2028
Sam Reinhart 1,555,000$ 1,555,000$
Shea Theodore 3,791,500$ 3,791,500$ 3,791,500$ 3,791,500$ 3,791,500$
Total5,346,500$5,346,500$3,791,500$3,791,500$3,791,500$

Retained Buyout
Player2023-20242024-20252025-20262026-20272027-2028
Total0$0$0$0$0$



Charte de profondeur

Ailier gaucheCentreAilier droit
Ryan Nugent-HopkinsAGE:29PO:0OV:75
Nino NiederreiterAGE:30PO:0OV:72
Tyler ToffoliAGE:30PO:0OV:72
Josh AndersonAGE:28PO:0OV:71
Derek GrantAGE:32PO:0OV:69
Brock McGinnAGE:28PO:0OV:68
Eric RobinsonAGE:27PO:0OV:68
Matt NietoAGE:30PO:0OV:67
Jonathan DrouinAGE:27PO:0OV:67
Josh LeivoAGE:29PO:0OV:66
Brandon Biro (R)AGE:24PO:0OV:63
Max Jones (R)AGE:24PO:0OV:63
T.J. TynanAGE:30PO:0OV:62
Emilio Pettersen (R)AGE:22PO:0OV:61
Ryan McGregor (R)AGE:23PO:0OV:58
Mark ScheifeleAGE:29PO:0OV:75
Bo HorvatAGE:27PO:0OV:75
Ryan Nugent-HopkinsAGE:29PO:0OV:75
Tyler ToffoliAGE:30PO:0OV:72
Derek GrantAGE:32PO:0OV:69
Nic DowdAGE:32PO:0OV:69
Jonathan DrouinAGE:27PO:0OV:67
Antonio Stranges (R)AGE:20PO:0OV:62
Alexander TrueAGE:25PO:0OV:62
Brian PinhoAGE:27PO:0OV:62
T.J. TynanAGE:30PO:0OV:62
Jachym Kondelik (R)AGE:23PO:0OV:61
Jan Mysak (R)AGE:20PO:0OV:59
Zayde Wisdom (R)AGE:20PO:0OV:58
Ryan McGregor (R)AGE:23PO:0OV:58
Nino NiederreiterAGE:30PO:0OV:72
Tyler ToffoliAGE:30PO:0OV:72
Josh AndersonAGE:28PO:0OV:71
Nic DowdAGE:32PO:0OV:69
Brock McGinnAGE:28PO:0OV:68
Matt NietoAGE:30PO:0OV:67
Jonathan DrouinAGE:27PO:0OV:67
Josh LeivoAGE:29PO:0OV:66
T.J. TynanAGE:30PO:0OV:62
Tuukka Tieksola (R)AGE:21PO:0OV:59

Défense #1Défense #2Gardien
Vladislav GavrikovAGE:27PO:0OV:70
Neal PionkAGE:27PO:0OV:70
Nick JensenAGE:32PO:0OV:69
Carson SoucyAGE:28PO:0OV:69
Nikita ZaitsevAGE:31PO:0OV:67
Ryan MurrayAGE:29PO:0OV:65
Guillaume Brisebois (R)AGE:25PO:0OV:64
Vladislav Kolyachonok (R)AGE:21PO:0OV:62
William Trudeau (R)AGE:20PO:0OV:59
Nick Wolff (R)AGE:26PO:0OV:59
Ryan Jones (R)AGE:26PO:0OV:59
Marc Del Gaizo (R)AGE:23PO:0OV:59
Elvis MerzlikinsAGE:28PO:0OV:73
Sam Montembeault (R)AGE:26PO:0OV:72
Aaron DellAGE:33PO:0OV:65
J-F BerubeAGE:31PO:0OV:65

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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Chris ConnerJetsLien
Christopher BrownJetsLien
Corey TroppJetsLien
Devin KaplanJets202274
Dylan SadowyJetsLien
Joshua Ho-SangJetsLien
Matthew BoudensJetsLien
Michael PrapavessisJetsLien
Oliver SuniJets22108
Pascal LabergeJetsLien
Patrik PuistolaJets2144
Semyon ChistyakovJets21166
Stephen HarperJetsLien
Tucker PoolmanJetsLien
Yegor SerdyukJets21109

Choix au repêchage

Année R1R2R3R4R5R6R7R8
2024
2025
2026
2027
2028




La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[12/10/2023 8:17:11 AM] - TRADE : From Devils to Jets : Tyler Toffoli (72).
[12/10/2023 8:17:11 AM] - TRADE : From Jets to Devils : Yanni Gourde (72).
[12/2/2023 8:06:33 AM] - TRADE : From Jets to Avalanche : Sergei Bobrovsky (76), Olli Maatta (67), Y:2024-RND:2-NJD.
[12/2/2023 8:06:33 AM] - TRADE : From Avalanche to Jets : Elvis Merzlikins (73), Ryan Murray (65).
[10/6/2023 11:10:38 AM] - TRADE : From Jets to Coyotes : Brock Boeser (71), Y:2024-RND:6-WPG.
[10/6/2023 11:10:38 AM] - TRADE : From Coyotes to Jets : Jonathan Drouin (67), Antonio Stranges (62), Y:2024-RND:5-ARI.
[6/20/2023 1:24:53 PM] - Max Willman was released.
[6/20/2023 1:24:53 PM] - Ross Johnston was released.
[6/20/2023 11:18:59 AM] - Matt Nieto signed with Jets for $1,930,000 for 3 year(s) / Option : 1 Way Contract & Signing Bonus of $1,000,000.



[12/10/2023 8:17:11 AM] TRADE : From Devils to Jets : Tyler Toffoli (72).
[12/10/2023 8:17:11 AM] TRADE : From Jets to Devils : Yanni Gourde (72).
[12/10/2023 8:12:07 AM] Auto Lines Partial Function has been run for Jets.
[12/10/2023 8:12:07 AM] Auto Roster Partial Function has been run for Jets.
[12/7/2023 11:11:38 AM] Neal Pionk from Jets is back from Left Foot Injury.
[12/7/2023 11:11:38 AM] Game 402 - Neal Pionk from Jets is injured (Left Foot) and is out for 2 days.
[12/7/2023 11:10:53 AM] Auto Lines Partial Function has been run for Jets.
[12/4/2023 11:43:08 AM] Auto Lines Partial Function has been run for Jets.
[12/2/2023 8:06:33 AM] TRADE : From Jets to Avalanche : Sergei Bobrovsky (76), Olli Maatta (67), Y:2024-RND:2-NJD.
[12/2/2023 8:06:33 AM] TRADE : From Avalanche to Jets : Elvis Merzlikins (73), Ryan Murray (65).
[12/2/2023 8:04:44 AM] Successfully loaded Jets lines done with STHS Client - 3.4.0.0
[11/30/2023 11:05:01 AM] Auto Lines Farm Function has been run for Moose.
[11/29/2023 11:04:18 AM] Brian Pinho from Moose is back from Torn Right Knee Ligaments Injury.
[11/29/2023 11:04:18 AM] Emilio Pettersen from Moose is back from Right Knee Injury.
[11/28/2023 11:18:28 AM] Game 332 - Emilio Pettersen from Moose is injured (Right Knee) and is out for 3 days.
[11/28/2023 11:18:23 AM] Auto Lines Farm Function has been run for Moose.
[11/27/2023 11:19:42 AM] J-F Berube from Moose is back from Back Spasms Injury.
[11/26/2023 8:43:22 AM] Game 319 - J-F Berube from Moose is injured (Back Spasms) and is out for 3 days.
[11/26/2023 8:43:18 AM] Auto Lines Farm Function has been run for Moose.
[11/26/2023 8:40:18 AM] Successfully loaded Jets lines done with Web Base Client and SQLite Database.
[11/24/2023 11:23:30 AM] Game 304 - Brian Pinho from Moose is injured (Torn Right Knee Ligaments) and is out for 1 week.
[11/23/2023 11:53:04 AM] Auto Lines Farm Function has been run for Moose.
[11/22/2023 12:25:28 PM] Aaron Dell from Moose is back from Sprained Right Knee Injury.
[11/22/2023 12:25:28 PM] Lightning claimed Nick DeSimone from waivers by Jets for $0.
[11/22/2023 12:25:26 PM] Game 284 - Aaron Dell from Moose is injured (Sprained Right Knee) and is out for 1 days.
[11/21/2023 11:23:44 AM] Auto Lines Farm Function has been run for Moose.
[11/20/2023 11:09:23 AM] Successfully loaded Jets lines done with Web Base Client and SQLite Database.
[11/20/2023 11:09:23 AM] Nick DeSimone of Jets was sent down to farm.
[11/20/2023 11:05:57 AM] Jets placed Nick DeSimone on waivers.
[11/20/2023 11:05:57 AM] Guillaume Brisebois of Jets was sent down to farm.
[11/19/2023 8:47:29 AM] Jets are expected to be over the salary cap by $233,251!
[11/18/2023 8:51:27 AM] Jets are expected to be over the salary cap by $233,251!
[11/18/2023 8:50:52 AM] Nick Wolff from Moose is back from Strained Right Knee Injury.
[11/18/2023 8:50:51 AM] Game 259 - Nick Wolff from Moose is injured (Strained Right Knee) and is out for 2 days.
[11/17/2023 12:36:48 PM] Jets are expected to be over the salary cap by $233,251!
[11/16/2023 11:12:17 AM] Jets are expected to be over the salary cap by $233,251!
[11/16/2023 11:11:43 AM] Nikita Zaitsev from Jets is back from Back Spasms Injury.
[11/16/2023 11:11:43 AM] Nick Jensen from Jets is back from Torn Left Knee Ligaments Injury.
[11/16/2023 11:11:43 AM] Antonio Stranges from Moose is back from Fractured Bone in Right Hand Injury.



Pas de blessure ou de suspension.


Jets Leaders statistiques (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
1Brandon Tanev16267681353014443232553812.45%55316219.5213193278000316440.91%20.8501
2Ryan Nugent-Hopkins107516611731166127640212.69%21215320.13923327400019449.60%01.0925
3Bo Horvat106375491243510922333411.08%18187517.6967134700016353.29%10.9706
4Yanni Gourde8035518625418420027012.96%14150018.75818264100006350.57%11.1501
5Alex Iafallo8036498521141312526113.79%27156319.54912213900027544.21%11.0939

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
1Sergei Bobrovsky60411610.9112.5334834414716550110.78614
2Pekka Rinne61341940.9092.6335576215617060420.81316
3Jaroslav Halak49231850.9042.8426624312613160320.3336
4Pavel Francouz229620.8972.86111120535160000.5717
5Aaron Dell189420.8953.3197800545120110.73315

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
Saison régulière
238237280624525223517412211031221371033441151703123115132-171012524507023275947313246777284281071245472773817652484919.76%3075283.06%71482285651.89%1457287450.70%625126749.33%1948133719746121060526
20228246240514229322172412580313115310845412116020111401132711329352081314881009611261182886589445233471462318452686223.13%2594283.78%11517294651.49%1413275351.33%667134149.74%2005139818965971057532
20232610100420083821145403200444221256010003940-1308314923212253222480525726127215720251256580731216.44%1122379.46%149892753.72%41785948.54%22442352.96%618425619187329164
Total Saison régulière19093620155876285389096522309453334253819441390613429428592446281119174758188226191285883185719681976131550816921617419058912320.88%67811782.74%93497672951.97%3287648650.68%1516303150.02%457231624489139724471223
Séries éliminatoires
2022514000001317-43120000078-12020000069-321324371072401233743430154594111012216.67%18383.33%08916254.94%9118648.92%447360.27%11579119376431
Total Séries éliminatoires514000001317-43120000078-12020000069-321324371072401233743430154594111012216.67%18383.33%08916254.94%9118648.92%447360.27%11579119376431

Jets Leaders statistiques (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
1Ryan Nugent-Hopkins5246-30481612.50%110020.06112100000142.86%01.2000
2Adrian Kempe5235-341271910.53%210120.21011200000050.00%00.9900
3Bo Horvat5314-306201421.43%310020.06112300000052.94%00.8000
4Brandon Tanev5123001810166.25%110120.21000000001066.67%00.5900
5MacKenzie Weegar5033-4614910.00%1111923.9500000000000.00%00.5000

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
1Sergei Bobrovsky51400.8953.2129900161530010.0000