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New Jersey Devils
GP: 38 | W: 17 | L: 18 | OTL: 3 | P: 37
GF: 112 | GA: 131 | PP%: 18.85% | PK%: 76.15%
DG: Marcandré Ouellet | Morale : 50 | Moyenne d’équipe : 75
Prochains matchs #617 vs Toronto Maple Leafs

Centre de jeu
New Jersey Devils
17-18-3, 37pts
3
FINAL
1 New York Islanders
18-16-5, 41pts
Team Stats
W2SéquenceW1
8-8-3Fiche domicile10-10-1
9-10-0Fiche visiteur8-6-4
5-5-0Derniers 10 matchs4-4-2
2.95Buts par match 3.28
3.45Buts contre par match 3.41
18.85%Pourcentage en avantage numérique16.15%
76.15%Pourcentage en désavantage numérique77.12%
Washington Capitals
17-20-2, 36pts
2
FINAL
5 New Jersey Devils
17-18-3, 37pts
Team Stats
L6SéquenceW2
9-10-1Fiche domicile8-8-3
8-10-1Fiche visiteur9-10-0
2-7-1Derniers 10 matchs5-5-0
3.15Buts par match 2.95
3.36Buts contre par match 3.45
18.66%Pourcentage en avantage numérique18.85%
74.44%Pourcentage en désavantage numérique76.15%
New Jersey Devils
17-18-3, 37pts
Jour 85
Toronto Maple Leafs
27-11-0, 54pts
Statistiques d’équipe
W2SéquenceW4
8-8-3Fiche domicile17-5-0
9-10-0Fiche visiteur10-6-0
5-5-010 derniers matchs9-1-0
2.95Buts par match 4.66
3.45Buts contre par match 4.66
18.85%Pourcentage en avantage numérique25.19%
76.15%Pourcentage en désavantage numérique73.86%
New Jersey Devils
17-18-3, 37pts
Jour 86
Columbus Blue Jackets
20-15-3, 43pts
Statistiques d’équipe
W2SéquenceW1
8-8-3Fiche domicile11-6-0
9-10-0Fiche visiteur9-9-3
5-5-010 derniers matchs4-5-1
2.95Buts par match 3.32
3.45Buts contre par match 3.32
18.85%Pourcentage en avantage numérique21.64%
76.15%Pourcentage en désavantage numérique76.74%
Utah Mammoth
16-23-1, 33pts
Jour 89
New Jersey Devils
17-18-3, 37pts
Statistiques d’équipe
L2SéquenceW2
9-8-0Fiche domicile8-8-3
7-15-1Fiche visiteur9-10-0
3-7-010 derniers matchs5-5-0
3.08Buts par match 2.95
4.03Buts contre par match 2.95
21.21%Pourcentage en avantage numérique18.85%
72.41%Pourcentage en désavantage numérique76.15%
Meneurs d'équipe
Owen TippettButs
Owen Tippett
12
Moritz SeiderPasses
Moritz Seider
29
Moritz SeiderPoints
Moritz Seider
36
Conor TimminsPlus/Moins
Conor Timmins
9
Jeremy SwaymanVictoires
Jeremy Swayman
11
Ville HussoPourcentage d’arrêts
Ville Husso
0.902

Statistiques d’équipe
Buts pour
112
2.95 GFG
Tirs pour
1085
28.55 Avg
Pourcentage en avantage numérique
18.9%
23 GF
Début de zone offensive
39.8%
Buts contre
131
3.45 GAA
Tirs contre
1111
29.24 Avg
Pourcentage en désavantage numérique
76.1%%
26 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralMarcandré Ouellet
EntraîneurMartin Brodeur
DivisionMetro Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomPrudential Center
Capacité19,000
Assistance18,126
Billets de saison17,670


Informations de la formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 60
Espoirs10


Plafond salarial

Cap Salarial de la Saison estimé94,278,643$
Plafond salarial disponible1,221,357$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour33,756,756$
Dépenses annuelles à ce jour41,196,406$
Revenus de la saison estimés39,086,770$
Dépenses de la saison estimées53,031,780$
Compte bancaire actuel19,134,134$
Compte bancaire projeté12,122,511$


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 StoneX100.006842887583889086468478788088860508003329,500,000$
2Joel Eriksson EkX100.007542768083898685737879788182720507902845,250,000$
3Owen TippettXX100.007942928084878888517781738379690507902656,200,000$
4Ivan BarbashevXX100.007949867980878985527979728182720507803035,000,000$
5J.J. PeterkaXX100.006741788680878288508183688563530507802357,700,000$
6Colton SissonsX100.007841847779869277827571787587770507703212,857,143$
7Bobby McMannXXX100.007857777482827781487177707759500507302911,350,000$
8Filip ChytilX100.006441837585868277657170677479690507302624,437,500$
9Adam GaudetteX100.006842827670768075646675677570620507102922,000,000$
10Kirby DachXX100.006942727289848073577068667173630507102413,362,500$
11Maxim TsyplakovX100.007349686976766973467671677053500506902722,250,000$
12Michael PezzettaX100.00917170718573756844646267676353050680272812,500$
13Moritz SeiderX100.007846739086938287408174958463530508202458,550,000$
14Roman JosiX100.006546798078929089408380788389870508003539,059,000$
15Bowen ByramX100.007047718482918382407874818068580507802426,250,000$
16Zach WhitecloudX100.007651757584858774407067807279690507602932,750,000$
17Conor TimminsX100.006742787485868073407165747173630507302722,200,000$
18Tony DeAngeloX100.005844777673898075407368677382720507203011,750,000$
Rayé
1Leo CarlssonXXX58.59664289808385758161767671795650050740211950,000$
2Sammy BlaisX100.00734868677274746642665965647857050660291775,000$
3Sebastian Aho (D)X100.00594279696574736440635667637857050660291775,000$
Équipe Mineure
1Ross JohnstonXX100.008476586790778467426362676584740506903111,100,000$
2Boris KatchoukX100.00694574697374716846656365676050050660271775,000$
3Andrew AgozzinoX100.00534465675972726662646257657063050640341775,000$
4Dominic ToninatoXX100.00544862626270696361605852616559050610312850,000$
5Graham SlaggertX100.00624467656367656059555561605450050600262900,000$
6Ondrej BecherX100.00574068616261605952565654585050050580212867,500$
7Kyle CapobiancoX100.00664763686670676740655969657552050660281775,000$
8Vladislav KolyachonokX100.00634177727575686640606266665953050660241775,000$
9Isaiah GeorgeX100.00574074697575626540626164655150050640212838,333$
10Kirill KudryavtsevX100.00644167646261606140615666615050050620212825,000$
11Marshall RifaiX100.006351596564686762405754676055500506202721,550,000$
12Harrison BrunickeX100.00614165626255535540545359575050050580192875,000$
13Jeremie BiakabutukaX100.00614066606459575540545359565150050580231825,000$
14Mikael DiotteX100.00624062606458575440545360555050050580222950,000$
15Luke ToporowskiX100.005944676661656363436057586252500506002400$
16Roman AhcanX100.005443666758676562425658566354500505902600$
17Jagger JoshuaX100.006253586167656357415452585754500505802600$
18Maxence GuenetteX100.00654370666765646540615968635250050640241775,000$
MOYENNE D’ÉQUIPE98.9267467371747674714867656869665905069
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
1Jeremy Swayman100.00888991809290888888918568610508002758,250,000$
2Ville Husso100.00827876837976737376797468610507103022,200,000$
Rayé
1David Rittich100.00828686838783798281857782750507603311,000,000$
Équipe Mineure
1Brandon Bussi100.0074677170727174717272625550050650271775,000$
2Isaac Poulter100.0072636562676972687068595150050620241775,000$
3Callum Tung100.00625757656159595761595450500505502200$
MOYENNE D’ÉQUIPE100.007773747476757473757669625805068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin Brodeur1111111CAN5351$


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
1Moritz SeiderNew Jersey DevilsD3872936-5400107738937567.87%4893624.65391247103000181100%000000.7700000231
2Joel Eriksson EkNew Jersey DevilsC38111829-11206997106198010.38%580021.07437251070000920050.43%104500000.7201000402
3Owen TippettNew Jersey DevilsLW/RW38121527-151806036110308710.91%764817.0616722101000001146.55%5800000.8312000001
4J.J. PeterkaNew Jersey DevilsLW/RW38111425-3140334812834868.59%369918.4133630101000004143.75%3200000.7111000023
5Bowen ByramNew Jersey DevilsD3851722-1812043485827528.62%5680321.1323531105011082000%000000.5500000111
6Mark StoneNew Jersey DevilsRW38111122-380316292276911.96%580821.28426171070001961036.54%5200000.5412000112
7Roman JosiNew Jersey DevilsD3831821-5802946346198.82%4084622.2800000000096100%000000.5000000220
8Ivan BarbashevNew Jersey DevilsC/LW3861319-1822066347927797.59%465617.2707717100000090036.76%6800000.5801000011
9Tony DeAngeloNew Jersey DevilsD382161866035173813215.26%3063116.631231810400001000%000000.5700000001
10Bobby McMannNew Jersey DevilsC/LW/RW3879165221063358021558.75%551013.4400001000011254.84%3100000.6300011211
11Kirby DachNew Jersey DevilsC/RW387916540382330143023.33%850613.3200000000001031.25%3200000.6300000011
12Filip ChytilNew Jersey DevilsC38591452015595917488.47%560515.9402211101000000047.61%71000000.4600000000
13Zach WhitecloudNew Jersey DevilsD387512-2034070282251331.82%4369718.3620222000082110%000000.3400000011
14Colton SissonsNew Jersey DevilsC385611-220285141203512.20%538310.091128501011902052.71%44200000.5700000000
15Conor TimminsNew Jersey DevilsD383811928063282271313.64%3755914.7300000000034010%000000.3900000031
16Leo CarlssonNew Jersey DevilsC/LW/RW236511-1100114051154711.76%350521.962131256000001143.65%37800000.4400000001
17Maxim TsyplakovNew Jersey DevilsRW38123-220119264143.85%02366.2200000000001057.14%2100000.2500000000
18Adam GaudetteNew Jersey DevilsRW38101-500122311269.09%23068.08000000000891043.96%27300000.0700000000
19Michael PezzettaNew Jersey DevilsLW15101-46022592611.11%01036.8800000000000011.11%900000.1900000000
Statistiques d’équipe totales ou en moyenne684111204315-8224010806762108532781610.23%3061124616.442339622401046112375916747.86%315100000.5637011121617
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
1Jeremy SwaymanNew Jersey Devils27111510.8863.31147041817090200.4005270400
2David RittichNew Jersey Devils126320.8753.7270920443510001.00031112000
3Ville HussoNew Jersey Devils30000.9022.591160055100000026000
Statistiques d’équipe totales ou en moyenne42171830.8833.40229761130111102083838400


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Adam GaudetteNew Jersey DevilsRW291996-10-03USANo187 Lbs6 ft1NoNoAssign ManuallyNoYes22025-07-02FalseFalsePro & Farm2,000,000$1,125,000$2,000,000$1,125,000$No2,000,000$--------2,000,000$--------No--------Lien NHL
Bobby McMannNew Jersey DevilsC/LW/RW291996-06-15CANNo215 Lbs6 ft2NoNoAssign ManuallyNoYes12025-05-26FalseFalsePro & Farm1,350,000$759,375$1,350,000$759,375$No---------------------------Lien NHL
Bowen ByramNew Jersey DevilsD242001-06-13CANNo205 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-22FalseFalsePro & Farm6,250,000$3,515,625$6,250,000$3,515,625$No6,250,000$--------6,250,000$--------No--------Lien NHL
Colton SissonsNew Jersey DevilsC321993-11-05CANNo200 Lbs6 ft1NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm2,857,143$1,607,143$2,857,143$1,607,143$No---------------------------Lien NHL
Conor TimminsNew Jersey DevilsD271998-09-18CANNo213 Lbs6 ft3NoNoAssign ManuallyNoYes22025-08-19FalseFalsePro & Farm2,200,000$1,237,500$2,200,000$1,237,500$No2,200,000$--------2,200,000$--------No--------Lien NHL
David RittichNew Jersey DevilsG331992-08-19CZENo205 Lbs6 ft4NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm1,000,000$562,500$1,000,000$562,500$No---------------------------Lien NHL
Filip ChytilNew Jersey DevilsC261999-09-05CZENo210 Lbs6 ft2NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm4,437,500$2,496,094$4,437,500$2,496,094$No4,437,500$--------4,437,500$--------No--------Lien NHL
Ivan BarbashevNew Jersey DevilsC/LW301995-12-14RUSNo203 Lbs6 ft0NoNoAssign ManuallyNoNo32025-05-26FalseFalsePro & Farm5,000,000$2,812,500$5,000,000$2,812,500$No5,000,000$5,000,000$-------5,000,000$5,000,000$-------NoNo-------Lien NHL
J.J. PeterkaNew Jersey DevilsLW/RW232002-01-14DEUNo189 Lbs6 ft0NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm7,700,000$4,331,250$7,700,000$4,331,250$No7,700,000$7,700,000$7,700,000$7,700,000$-----7,700,000$7,700,000$7,700,000$7,700,000$-----NoNoNoNo-----
Jeremy SwaymanNew Jersey DevilsG271998-11-24USANo195 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,250,000$4,640,625$8,250,000$4,640,625$No8,250,000$8,250,000$8,250,000$8,250,000$-----8,250,000$8,250,000$8,250,000$8,250,000$-----NoNoNoNo-----Lien NHL
Joel Eriksson EkNew Jersey DevilsC281997-01-29SWENo207 Lbs6 ft3NoNoAssign ManuallyNoNo42025-05-26FalseFalsePro & Farm5,250,000$2,953,125$5,250,000$2,953,125$No5,250,000$5,250,000$5,250,000$------5,250,000$5,250,000$5,250,000$------NoNoNo------Lien NHL
Kirby DachNew Jersey DevilsC/RW242001-01-21CANNo221 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm3,362,500$1,891,406$3,362,500$1,891,406$No---------------------------Lien NHL
Leo Carlsson (sur la masse salariale)New Jersey DevilsC/LW/RW212004-12-26SWENo203 Lbs6 ft3NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm950,000$534,375$0$0$Yes---------------------------Lien NHL
Mark StoneNew Jersey DevilsRW331992-05-13CANNo210 Lbs6 ft3NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm9,500,000$5,343,750$9,500,000$5,343,750$No9,500,000$--------9,500,000$--------No--------Lien NHL
Maxim TsyplakovNew Jersey DevilsRW271998-09-19RUSNo210 Lbs6 ft3NoNoAssign ManuallyNoYes22025-08-19FalseFalsePro & Farm2,250,000$1,265,625$2,250,000$1,265,625$No2,250,000$--------2,250,000$--------No--------
Michael PezzettaNew Jersey DevilsLW271998-03-13CANNo219 Lbs6 ft1NoNoAssign ManuallyNoYes22025-07-02FalseFalsePro & Farm812,500$457,031$812,500$457,031$No812,500$--------812,500$--------No--------Lien NHL
Moritz SeiderNew Jersey DevilsD242001-04-06DEUNo205 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,550,000$4,809,375$8,550,000$4,809,375$No8,550,000$8,550,000$8,550,000$8,550,000$-----8,550,000$8,550,000$8,550,000$8,550,000$-----NoNoNoNo-----Lien NHL
Owen TippettNew Jersey DevilsLW/RW261999-02-16CANNo210 Lbs6 ft1NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm6,200,000$3,487,500$6,200,000$3,487,500$No6,200,000$6,200,000$6,200,000$6,200,000$-----6,200,000$6,200,000$6,200,000$6,200,000$-----NoNoNoNo-----Lien NHL
Roman JosiNew Jersey DevilsD351990-06-01CHENo201 Lbs6 ft1NoNoAssign ManuallyNoNo32025-05-26FalseFalsePro & Farm9,059,000$5,095,688$9,059,000$5,095,688$No9,059,000$9,059,000$-------9,059,000$9,059,000$-------NoNo-------Lien NHL
Sammy BlaisNew Jersey DevilsLW291996-06-17CANNo209 Lbs6 ft2NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm775,000$435,938$775,000$435,938$No---------------------------Lien NHL
Sebastian Aho (D)New Jersey DevilsD291996-02-17SWENo183 Lbs5 ft11NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm775,000$435,938$775,000$435,938$No---------------------------Lien NHL
Tony DeAngeloNew Jersey DevilsD301995-10-24USANo180 Lbs5 ft11NoNoAssign ManuallyNoYes12025-07-02FalseFalsePro & Farm1,750,000$984,375$1,750,000$984,375$No---------------------------Lien NHL
Ville HussoNew Jersey DevilsG301995-02-06FINNo205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm2,200,000$1,237,500$2,200,000$1,237,500$No2,200,000$--------2,200,000$--------No--------Lien NHL
Zach WhitecloudNew Jersey DevilsD291996-11-28CANNo210 Lbs6 ft2NoNoAssign ManuallyNoNo32025-05-26FalseFalsePro & Farm2,750,000$1,546,875$2,750,000$1,546,875$No2,750,000$2,750,000$-------2,750,000$2,750,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2428.00204 Lbs6 ft22.383,967,860$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
95,228,643$82,409,000$52,759,000$35,950,000$30,700,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1J.J. PeterkaJoel Eriksson EkMark Stone30122
2Ivan BarbashevAdam GaudetteOwen Tippett30122
3Bobby McMannFilip ChytilKirby Dach25122
4Michael PezzettaColton SissonsMaxim Tsyplakov15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderRoman Josi30122
2Bowen ByramZach Whitecloud30122
3Conor TimminsTony DeAngelo25122
4Moritz SeiderRoman Josi15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Owen TippettJoel Eriksson EkMark Stone50122
2Ivan BarbashevFilip ChytilColton Sissons50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderJ.J. Peterka50122
2Bowen ByramTony DeAngelo50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joel Eriksson EkMark Stone50122
2Colton SissonsAdam Gaudette50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderRoman Josi50122
2Bowen ByramZach Whitecloud50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joel Eriksson Ek50122Moritz SeiderRoman Josi50122
2Colton Sissons50122Bowen ByramZach Whitecloud50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joel Eriksson EkMark Stone50122
2Ivan BarbashevJ.J. Peterka50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderRoman Josi50122
2Bowen ByramZach Whitecloud50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Owen TippettJoel Eriksson EkMark StoneMoritz SeiderRoman Josi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Owen TippettJoel Eriksson EkMark StoneMoritz SeiderRoman Josi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ivan Barbashev, Colton Sissons, Joel Eriksson EkIvan Barbashev, Colton SissonsIvan Barbashev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Whitecloud, Conor Timmins, Tony DeAngeloZach WhitecloudZach Whitecloud, Conor Timmins
Tirs de pénalité
Mark Stone, Owen Tippett, Joel Eriksson Ek, J.J. Peterka, Ivan Barbashev
Gardien
#1 : Jeremy Swayman, #2 : Ville Husso
Lignes d’attaque personnalisées en prolongation
Mark Stone, Owen Tippett, Joel Eriksson Ek, J.J. Peterka, Ivan Barbashev, Colton Sissons, Adam Gaudette, Bobby McMann, Filip Chytil, Kirby Dach
Lignes de défense personnalisées en prolongation
Moritz Seider, Roman Josi, Bowen Byram, Zach Whitecloud, Conor Timmins


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
1Anaheim Ducks211000008801010000035-21100000053220.5008132100611064271621045983610330.00%3166.67%0581124646.63%646126750.99%28161445.77%473345142613
2Boston Bruins1010000008-8000000000001010000008-800.0000000000001862100396620100.00%30100.00%0581124646.63%646126750.99%28161445.77%1812287126
3Buffalo Sabres20200000610-41010000035-21010000035-200.000611170014105917202206011143412325.00%7271.43%0581124646.63%646126750.99%28161445.77%483245142513
4Carolina Hurricanes1010000002-2000000000001010000002-200.000000000000226880287226300.00%10100.00%0581124646.63%646126750.99%28161445.77%2214237137
5Chicago Blackhawks11000000532000000000001100000053221.000510150032003011109027111225100.00%6183.33%0581124646.63%646126750.99%28161445.77%2214257125
6Colorado Avalanche22000000725110000004041100000032141.0007132001043063181926051106437114.29%30100.00%0581124646.63%646126750.99%28161445.77%463148142513
7Columbus Blue Jackets211000005501010000013-21100000042220.5005813001130481910190551712426233.33%6350.00%1581124646.63%646126750.99%28161445.77%473348142311
8Dallas Stars1000000134-11000000134-10000000000010.5003690002122871286277619100.00%30100.00%0581124646.63%646126750.99%28161445.77%2315278136
9Detroit Red Wings1000010023-11000010023-10000000000010.50024600200029491602611416400.00%20100.00%0581124646.63%646126750.99%28161445.77%2214258136
10Edmonton Oilers10001000541100010005410000000000021.0005101500031134814102278220300.00%10100.00%0581124646.63%646126750.99%28161445.77%2417227147
11Florida Panthers2020000038-51010000013-21010000025-300.000369001110511519170562728387228.57%9455.56%0581124646.63%646126750.99%28161445.77%443050152412
12Los Angeles Kings1010000024-2000000000001010000024-200.0002460002003715121003064267114.29%20100.00%0581124646.63%646126750.99%28161445.77%2517227126
13Minnesota Wild1010000013-21010000013-20000000000000.000123001000249780273102011100.00%30100.00%0581124646.63%646126750.99%28161445.77%2215247136
14Montreal Canadiens11000000413110000004130000000000021.0004812002110318131002013420200.00%10100.00%0581124646.63%646126750.99%28161445.77%2518216136
15New York Islanders21001000853100010005411100000031241.00081523002231591624163661318415120.00%7271.43%0581124646.63%646126750.99%28161445.77%503545142512
16Ottawa Senators11000000321000000000001100000032121.00036900201031164110268434200.00%20100.00%0581124646.63%646126750.99%28161445.77%2215247126
17Philadelphia Flyers2010100056-1100010003211010000024-220.5005101500121166182223361191039700.00%5260.00%0581124646.63%646126750.99%28161445.77%513646132512
18Pittsburgh Penguins1000010045-11000010045-10000000000010.50047110020203913121403220193133.33%000%0581124646.63%646126750.99%28161445.77%2519226126
19San Jose Sharks20200000513-81010000038-51010000025-300.0005914002300542214180831518417228.57%9455.56%0581124646.63%646126750.99%28161445.77%422852162511
20St. Louis Blues10000010651100000106510000000000021.000610160022112467944013820200.00%4250.00%0581124646.63%646126750.99%28161445.77%2316278146
21Tampa Bay Lightning3210000010731010000004-422000000103740.667101929003430712323250862918648112.50%9277.78%0581124646.63%646126750.99%28161445.77%704972203618
22Toronto Maple Leafs1010000035-2000000000001010000035-200.0003470011103613149043122174250.00%10100.00%0581124646.63%646126750.99%28161445.77%2317246115
23Utah Mammoth11000000624000000000001100000062421.00061016000330296101302694254250.00%10100.00%0581124646.63%646126750.99%28161445.77%2720216116
24Vancouver Canucks11000000312110000003120000000000021.0003690002103410177030141025300.00%50100.00%0581124646.63%646126750.99%28161445.77%2415237126
25Vegas Golden Knights2020000018-71010000013-21010000005-500.00012300001057142419047112048800.00%8187.50%0581124646.63%646126750.99%28161445.77%483244152613
26Washington Capitals21100000770110000005231010000025-320.50071118002140471121150531516484125.00%8275.00%0581124646.63%646126750.99%28161445.77%432848142713
Total38131803211112131-191948032115765-819910000005566-11370.48711220431601344133610853383633731811113062468061222318.85%1092676.15%1581124646.63%646126750.99%28161445.77%895617914279488242
_Since Last GM Reset38131803211112131-191948032115765-819910000005566-11370.48711220431601344133610853383633731811113062468061222318.85%1092676.15%1581124646.63%646126750.99%28161445.77%895617914279488242
_Vs Conference22711022006074-141024022002832-41257000003242-10200.455601091690020172126071852012156651190138458681319.12%611772.13%1581124646.63%646126750.99%28161445.77%517358528157281139
_Vs Division1034021002930-15110210018162523000001114-3110.55029518000861322818397956295735821528517.86%27966.67%1581124646.63%646126750.99%28161445.77%2411682357012964

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3837W21122043161085111130624680601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3813183211112131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
194832115765
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1991000005566
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
1222318.85%1092676.15%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
338363373183441336
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
581124646.63%646126750.99%28161445.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
895617914279488242


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
314New Jersey Devils0Carolina Hurricanes2LSommaire du match
526New Jersey Devils5Tampa Bay Lightning1WSommaire du match
745New Jersey Devils4Columbus Blue Jackets2WSommaire du match
1064Florida Panthers3New Jersey Devils1LSommaire du match
1278Edmonton Oilers4New Jersey Devils5WXSommaire du match
1598New Jersey Devils3Toronto Maple Leafs5LSommaire du match
16108Minnesota Wild3New Jersey Devils1LSommaire du match
18124San Jose Sharks8New Jersey Devils3LSommaire du match
20140Colorado Avalanche0New Jersey Devils4WSommaire du match
22161New Jersey Devils3Colorado Avalanche2WSommaire du match
24176New Jersey Devils2San Jose Sharks5LSommaire du match
26191New Jersey Devils2Los Angeles Kings4LSommaire du match
27197New Jersey Devils5Anaheim Ducks3WSommaire du match
31220Montreal Canadiens1New Jersey Devils4WSommaire du match
33231Pittsburgh Penguins5New Jersey Devils4LXSommaire du match
35252New York Islanders4New Jersey Devils5WXSommaire du match
37268New Jersey Devils5Chicago Blackhawks3WSommaire du match
40288New Jersey Devils2Washington Capitals5LSommaire du match
43309New Jersey Devils5Tampa Bay Lightning2WSommaire du match
45323New Jersey Devils2Florida Panthers5LSommaire du match
47339New Jersey Devils2Philadelphia Flyers4LSommaire du match
49354Detroit Red Wings3New Jersey Devils2LXSommaire du match
51364St. Louis Blues5New Jersey Devils6WXXSommaire du match
53379New Jersey Devils3Buffalo Sabres5LSommaire du match
54395Philadelphia Flyers2New Jersey Devils3WXSommaire du match
56406Columbus Blue Jackets3New Jersey Devils1LSommaire du match
58421Dallas Stars4New Jersey Devils3LXXSommaire du match
60436Vegas Golden Knights3New Jersey Devils1LSommaire du match
61443New Jersey Devils0Boston Bruins8LSommaire du match
64467New Jersey Devils3Ottawa Senators2WSommaire du match
66481Tampa Bay Lightning4New Jersey Devils0LSommaire du match
68495Anaheim Ducks5New Jersey Devils3LSommaire du match
69508Vancouver Canucks1New Jersey Devils3WSommaire du match
72533New Jersey Devils0Vegas Golden Knights5LSommaire du match
74547New Jersey Devils6Utah Mammoth2WSommaire du match
76565Buffalo Sabres5New Jersey Devils3LSommaire du match
78580New Jersey Devils3New York Islanders1WSommaire du match
82592Washington Capitals2New Jersey Devils5WSommaire du match
85617New Jersey Devils-Toronto Maple Leafs-
86627New Jersey Devils-Columbus Blue Jackets-
89645Utah Mammoth-New Jersey Devils-
90660Carolina Hurricanes-New Jersey Devils-
92669New Jersey Devils-New York Islanders-
94687New Jersey Devils-Pittsburgh Penguins-
97711New Jersey Devils-Winnipeg Jets-
98721New Jersey Devils-Minnesota Wild-
100735Seattle Kraken-New Jersey Devils-
103759Carolina Hurricanes-New Jersey Devils-
105777New Jersey Devils-Calgary Flames-
106786New Jersey Devils-Edmonton Oilers-
109807New Jersey Devils-Vancouver Canucks-
111820New Jersey Devils-Seattle Kraken-
113835Winnipeg Jets-New Jersey Devils-
115848Nashville Predators-New Jersey Devils-
117866New Jersey Devils-Ottawa Senators-
120887Columbus Blue Jackets-New Jersey Devils-
122905New York Islanders-New Jersey Devils-
142910Buffalo Sabres-New Jersey Devils-
143922New Jersey Devils-Pittsburgh Penguins-
145943New Jersey Devils-St. Louis Blues-
148961Florida Panthers-New Jersey Devils-
149971Toronto Maple Leafs-New Jersey Devils-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152991New York Rangers-New Jersey Devils-
1531005Detroit Red Wings-New Jersey Devils-
1571032Calgary Flames-New Jersey Devils-
1591050Los Angeles Kings-New Jersey Devils-
1611064Boston Bruins-New Jersey Devils-
1631077New Jersey Devils-New York Rangers-
1651095New Jersey Devils-Washington Capitals-
1691130New Jersey Devils-Dallas Stars-
1711144New Jersey Devils-Nashville Predators-
1731157New Jersey Devils-Carolina Hurricanes-
1741171Chicago Blackhawks-New Jersey Devils-
1761182New Jersey Devils-New York Rangers-
1781194Washington Capitals-New Jersey Devils-
1801212Montreal Canadiens-New Jersey Devils-
1811226New Jersey Devils-Montreal Canadiens-
1831236Philadelphia Flyers-New Jersey Devils-
1851251Pittsburgh Penguins-New Jersey Devils-
1871265New Jersey Devils-Detroit Red Wings-
1881279Ottawa Senators-New Jersey Devils-
1901292New Jersey Devils-Boston Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance109,33590,28636,53571,87336,364
Attendance PCT95.91%95.04%96.14%94.57%95.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
22 18126 - 95.40% 1,776,671$33,756,756$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
41,196,406$ 94,278,643$ 94,278,643$ 1$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
94,278,643$ 41,196,406$ 0$ 23 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
39,086,770$ 108 491,035$ 53,031,780$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
53,820,234$ 19,134,134$ 12,122,511$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
94,278,643$ 1,221,357$ 95,500,000$ 23,678,643$



Charte de profondeur

Ailier gaucheCentreAilier droit
Owen TippettAGE:26PO:0OV:79
Ivan BarbashevAGE:30PO:0OV:78
J.J. PeterkaAGE:23PO:0OV:78
Leo CarlssonAGE:21PO:0OV:74
Bobby McMannAGE:29PO:0OV:73
Ross JohnstonAGE:31PO:0OV:69
Michael PezzettaAGE:27PO:0OV:68
Boris KatchoukAGE:27PO:0OV:66
Sammy BlaisAGE:29PO:0OV:66
Andrew AgozzinoAGE:34PO:0OV:64
Luke ToporowskiAGE:24PO:0OV:60
Roman AhcanAGE:26PO:0OV:59
Jagger JoshuaAGE:26PO:0OV:58
Joel Eriksson EkAGE:28PO:0OV:79
Ivan BarbashevAGE:30PO:0OV:78
Colton SissonsAGE:32PO:0OV:77
Leo CarlssonAGE:21PO:0OV:74
Bobby McMannAGE:29PO:0OV:73
Filip ChytilAGE:26PO:0OV:73
Kirby DachAGE:24PO:0OV:71
Dominic ToninatoAGE:31PO:0OV:61
Graham SlaggertAGE:26PO:0OV:60
Ondrej BecherAGE:21PO:0OV:58
Mark StoneAGE:33PO:0OV:80
Owen TippettAGE:26PO:0OV:79
J.J. PeterkaAGE:23PO:0OV:78
Leo CarlssonAGE:21PO:0OV:74
Bobby McMannAGE:29PO:0OV:73
Adam GaudetteAGE:29PO:0OV:71
Kirby DachAGE:24PO:0OV:71
Maxim TsyplakovAGE:27PO:0OV:69
Ross JohnstonAGE:31PO:0OV:69
Dominic ToninatoAGE:31PO:0OV:61

Défense #1Défense #2Gardien
Moritz SeiderAGE:24PO:0OV:82
Roman JosiAGE:35PO:0OV:80
Bowen ByramAGE:24PO:0OV:78
Zach WhitecloudAGE:29PO:0OV:76
Conor TimminsAGE:27PO:0OV:73
Tony DeAngeloAGE:30PO:0OV:72
Kyle CapobiancoAGE:28PO:0OV:66
Sebastian Aho (D)AGE:29PO:0OV:66
Vladislav KolyachonokAGE:24PO:0OV:66
Isaiah GeorgeAGE:21PO:0OV:64
Maxence GuenetteAGE:24PO:0OV:64
Kirill KudryavtsevAGE:21PO:0OV:62
Marshall RifaiAGE:27PO:0OV:62
Harrison BrunickeAGE:19PO:0OV:58
Jeremie BiakabutukaAGE:23PO:0OV:58
Mikael DiotteAGE:22PO:0OV:58
Jeremy SwaymanAGE:27PO:0OV:80
David RittichAGE:33PO:0OV:76
Ville HussoAGE:30PO:0OV:71
Brandon BussiAGE:27PO:0OV:65
Isaac PoulterAGE:24PO:0OV:62
Callum TungAGE:22PO:0OV:55

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.
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EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Adam KleberNew Jersey Devils2025258Fantasy DraftLien
Braeden CootesNew Jersey Devils202566Fantasy DraftLien
Cam AllenNew Jersey Devils2025255Fantasy DraftLien
Cooper SimpsonNew Jersey Devils2025130Fantasy DraftLien
Igor ChernyshovNew Jersey Devils202563Fantasy DraftLien
John MustardNew Jersey Devils2025191Fantasy DraftLien
Kirill ZarubinNew Jersey Devils2025319Fantasy DraftLien
Michael MisaNew Jersey Devils20252Fantasy DraftLien
Noah ReadNew Jersey Devils2025194Fantasy DraftLien
Spencer GillNew Jersey Devils2025127Fantasy DraftLien

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



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


New Jersey Devils Historique de transactions

[2025-12-09 08:01:51] New Record for Team's Most Hits (34) in 1 Game for New Jersey Devils!
[2025-11-26 08:04:38] New Record for Team's Most Points (16) in 1 Game for New Jersey Devils!
[2025-11-26 08:04:38] New Record for Team's Most Goals (6) in 1 Game for New Jersey Devils!
[2025-11-20 08:03:08] New Record for Team's Most Penalties Minutes (19) in 1 Game for New Jersey Devils!
[2025-11-12 08:02:49] New Record for Team's Most Penalties Minutes (12) in 1 Game for New Jersey Devils!
[2025-11-02 08:39:10] New Record for Team's Most Shots (41) in 1 Game for New Jersey Devils!
[2025-11-01 10:05:10] New Record for Team's Most Shots (37) in 1 Game for New Jersey Devils!
[2025-10-21 08:19:04] New Record for Team's Most Shots (36) in 1 Game for New Jersey Devils!
[2025-10-18 09:25:42] New Record for Team's Most Shots (34) in 1 Game for New Jersey Devils!
[2025-10-13 09:30:48] New Record for Team's Most Shots (26) in 1 Game for New Jersey Devils!
[2025-10-10 08:04:49] New Record for Team's Most Hits (30) in 1 Game for New Jersey Devils!
[2025-10-10 08:04:49] New Record for Team's Most Penalties Minutes (10) in 1 Game for New Jersey Devils!
[2025-10-10 08:04:49] New Record for Team's Most Shots Blocked (18) in 1 Game for New Jersey Devils!
[2025-10-10 08:04:49] New Record for Team's Most Points (15) in 1 Game for New Jersey Devils!
[2025-10-10 08:04:49] New Record for Team's Most Assists (10) in 1 Game for New Jersey Devils!
[2025-10-10 08:04:49] New Record for Team's Most Goals (5) in 1 Game for New Jersey Devils!
[2025-10-10 08:04:49] New Record for Team's Most Hits (30) in 1 Game for New Jersey Devils!
[2025-10-09 08:02:58] New Record for Team's Most Hits (26) in 1 Game for New Jersey Devils!
[2025-10-09 08:02:58] New Record for Team's Most Penalties Minutes (2) in 1 Game for New Jersey Devils!
[2025-10-09 08:02:58] New Record for Team's Most Shots Blocked (7) in 1 Game for New Jersey Devils!
[2025-10-09 08:02:58] New Record for Team's Most Shots (22) in 1 Game for New Jersey Devils!
[2025-09-19 15:17:47] Tyler Motte was released.
[2025-09-19 15:17:47] Grant Hutton was released.
[2025-09-19 15:17:47] Ethan Prow was released.
[2025-09-19 15:17:47] Cooper Marody was released.
[2025-09-19 15:17:47] Austin Poganski was released.
[2025-09-13 20:35:18] Utica Comets hired Ian Laperriere for $1 for 5 year(s).
[2025-09-13 20:35:12] New Jersey Devils hired Martin Brodeur for $1 for 5 year(s).



Leo Carlsson est dehors pour 1 mois à cause de Strained Left Elbow Injury.



New Jersey Devils 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

New Jersey Devils 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

New Jersey Devils 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

New Jersey Devils 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

New Jersey Devils 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