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Connexion

New Jersey Devils
GP: 14 | W: 7 | L: 6 | OTL: 1 | P: 21
GF: 36 | GA: 34 | PP%: 15.38% | PK%: 85.45%
DG: Rocco | Morale : 40 | Moyenne d’équipe : 74
Prochains matchs #209 vs Quebec Nordiques

Centre de jeu
Toronto Maple Leafs
6-7-1, 15pts
1
3 New Jersey Devils
7-6-1, 21pts
Team Stats
W1SéquenceL1
1-2-1Fiche domicile4-3-1
5-5-0Fiche visiteur3-3-0
2-7-1Derniers 10 matchs6-4-0
2.36Buts par match 2.57
2.93Buts contre par match 2.43
22.22%Pourcentage en avantage numérique15.38%
84.44%Pourcentage en désavantage numérique85.45%
New Jersey Devils
7-6-1, 21pts
1
3 Ottawa Senators
6-6-3, 20pts
Team Stats
L1SéquenceW2
4-3-1Fiche domicile5-1-2
3-3-0Fiche visiteur1-5-1
6-4-0Derniers 10 matchs3-5-2
2.57Buts par match 2.67
2.43Buts contre par match 3.20
15.38%Pourcentage en avantage numérique16.13%
85.45%Pourcentage en désavantage numérique79.45%
Quebec Nordiques
8-5-1, 25pts
Jour 36
New Jersey Devils
7-6-1, 21pts
Statistiques d’équipe
W4SéquenceL1
4-3-1Fiche domicile4-3-1
4-2-0Fiche visiteur3-3-0
6-4-010 derniers matchs6-4-0
3.21Buts par match 2.57
2.86Buts contre par match 2.57
21.05%Pourcentage en avantage numérique15.38%
81.25%Pourcentage en désavantage numérique85.45%
Pittsburgh Penguins
7-7-0, 18pts
Jour 39
New Jersey Devils
7-6-1, 21pts
Statistiques d’équipe
W1SéquenceL1
3-4-0Fiche domicile4-3-1
4-3-0Fiche visiteur3-3-0
5-5-010 derniers matchs6-4-0
3.14Buts par match 2.57
3.29Buts contre par match 2.57
12.77%Pourcentage en avantage numérique15.38%
77.97%Pourcentage en désavantage numérique85.45%
New Jersey Devils
7-6-1, 21pts
Jour 42
Pittsburgh Penguins
7-7-0, 18pts
Statistiques d’équipe
L1SéquenceW1
4-3-1Fiche domicile3-4-0
3-3-0Fiche visiteur4-3-0
6-4-010 derniers matchs5-5-0
2.57Buts par match 3.14
2.43Buts contre par match 3.14
15.38%Pourcentage en avantage numérique12.77%
85.45%Pourcentage en désavantage numérique77.97%
Meneurs d'équipe
Buts
Tyler Toffoli
6
Passes
Trevor Zegras
7
Points
Mason Marchment
10
Plus/Moins
Eric Gelinas
6
Victoires
Andrei Vasilevskiy
5
Pourcentage d’arrêts
Andrei Vasilevskiy
0.937

Statistiques d’équipe
Buts pour
36
2.57 GFG
Tirs pour
437
31.21 Avg
Pourcentage en avantage numérique
15.4%
8 GF
Début de zone offensive
38.9%
Buts contre
34
2.43 GAA
Tirs contre
440
31.43 Avg
Pourcentage en désavantage numérique
85.5%%
8 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralRocco
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineBrett Lernout
Assistant #1
Assistant #2


Informations de l’aréna

NomPrudential Center
Capacité18,000
Assistance15,114
Billets de saison7,020


Informations de la formation

Équipe Pro23
Équipe Mineure31
Limite contact 54 / 250
Espoirs8


Finance

Revenu annuel à ce jour8,777,141$
Dépenses annuelles à ce jour13,949,671$
Revenus de la saison estimés35,108,564$
Dépenses de la saison estimées57,548,414$
Compte bancaire actuel59,961,341$
Compte bancaire projeté38,430,695$


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
1Anthony Cirelli0X100.0087528093689090849988867583746955408002729,000,000$
2Trevor Zegras (R)0X100.0070487995669399868491856687696755407902419,000,000$
3Mason Marchment0X100.0093547674858287846484817278797555407703023,500,000$
4Sam Bennett0X100.0092478082759194778979767476787255407602943,500,000$
5Andrew Mangiapane0X100.0077448186608583816479827175787455407502913,550,000$
6Tyler Toffoli0X100.0084467679708786776677777074817555407403325,000,000$
7Kevin Hayes0X100.0072518368868481778476747472817455407303325,000,000$
8Rudolfs Balcers0X100.0093407683658181716071717373777855407202811,000,000$
9Miles Wood0X100.008446727875828371597370677278665540710292550,000$
10Oskar Lindblom0X100.007247817975818565786866726977705540700281500,000$
11Taylor Raddysh0X100.008044827580808165676967716874795540700272749,000$
12Wade Allison0X100.007848827382787169586869746972675540690272600,000$
13Brett Lernout (C)0X100.0094528873988789735976668367788455407802922,550,000$
14Ryan Lindgren0X100.0084478085888587755080618167748155407802721,430,000$
15Eric Gelinas0X100.0080498370898788715076667062828855407403411,274,999$
16Nikita Nesterov0X100.0074468679698385685072668065807855407403213,125,000$
17Victor Hedman0X100.0071598762999091695072627660819055407403415,550,000$
18Jamie Oleksiak0X100.0088728066998082685072627558677655407303211,700,000$
Rayé
1Tyler Bertuzzi0X98.5874498082758078726877777075797055407303011,000,000$
2Alex Ovechkin0X100.008055665586797970607075616590895540690391500,000$
3Caleb Jones0X100.006146858580767668527566686677805540710282624,999$
Équipe Mineure
1Frederik Gauthier0X100.007161765799777767797067716379835540690301500,000$
2Logan Brown0X100.006454786695788367686869706774775540690271551,000$
3Milan Lucic0X100.008364665090837674667175626886885540690371500,000$
4Brad Marchand0X100.006640827949858568647067646986715540680372500,000$
5Mikael Pyyhtia (R)0X100.005633849067788363596465726968725540680232700,000$
6Ryan Lomberg0X100.009654447672777765586767686979665540680302556,000$
7Linus Omark0X100.005340847554807668637067566988755540660381500,000$
8Vinni Lettieri0X100.005744807468747762696463696679735540660301500,000$
9Alex Barre-Boulet0X100.005640817860727861636364696775635540650282700,000$
10Leo Komarov0X100.008746786367798062636565596288695540650381500,000$
11Mats Zuccarello0X100.006340707450757165686765596786745540650371500,000$
12Cal O'Reilly0X100.005141777066717462746463596388735540640381500,000$
13Philip Larsen0X100.0073418776788489655068617462828355407303511,900,000$
14Jeff Petry0X100.006945826587828568507060695986835540710371500,000$
15Korbinian Holzer0X100.008342706583788068506860716186835540710371500,000$
16Oscar Fantenberg0X100.007549786689727862506461686081775540690332800,000$
17Kyle Burroughs0X100.006052667578656865506763746178695540680292500,000$
18Andreas Borgman0X100.006649717183706967507060675978695540670301500,000$
19Johan Larsson0X100.007154736968818170847271687180705540690321500,000$
20Ryan Reaves0XX100.008957615485696860576261695893875540650381500,000$
21Hudson Fasching0X100.006547786674697157735861736177695540640292500,000$
22Jesper Froden0X100.005535767460686960506359726378605540640301500,000$
23Brandon Baddock0X100.006047796280637155505659725876685540620301500,000$
24Christian Jaros0X99.287056786497717069507164726178795540700292500,000$
25Jake Walman0X100.006251756884737563506463696074775540680292500,000$
26William Lagesson0X100.005654727088757465506862695977705540680291500,000$
27Mitch Reinke0X100.005240788247676661505859716175635540640291500,000$
MOYENNE D’ÉQUIPE99.96734877737779806862706770677975554070
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
1Andrei Vasilevskiy0100.006785888683858686868585796855408003023,000,000$
2Anthony Stolarz0100.005672759075798078787977806555407503132,550,000$
Rayé
Équipe Mineure
1Garret Sparks0100.00646770847576777777767780655540730321950,000$
2TOMI KARHUNEN0100.00816060727475767474757684695240720351250,000$
3Dustin Tokarski0100.00745252787375767474757284676140710351500,000$
4NIKLAS RUBIN0100.00696060747576777777767774625240710291250,000$
MOYENNE D’ÉQUIPE100.0069666881767879787878778066554074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Mason MarchmentNew Jersey DevilsLW144610435534184316219.30%923516.83134441101150052.17%2373000.8500001200
2Trevor ZegrasNew Jersey DevilsC14371011951425455246.67%523216.63022335000002049.78%23183000.8601001012
3Andrew MangiapaneNew Jersey DevilsRW14639420151341141814.63%521915.69213236000000033.33%940000.8200000010
4Anthony CirelliNew Jersey DevilsC1454931810202443241811.63%623316.70224544000052054.27%23496000.7701002011
5Sam BennettNew Jersey DevilsC14268-22026283913185.13%622015.73112140001511047.24%199125000.7300000010
6Oskar LindblomNew Jersey DevilsLW14527-215510192221622.73%319814.19000030002241025.00%834000.7000010001
7Tyler ToffoliNew Jersey DevilsRW13617-520241834102417.65%622016.96404839000002138.10%2143000.6400000102
8Kevin HayesNew Jersey DevilsC13336-44011224212107.14%217113.160113140000160057.43%10144100.7000000010
9Tyler BertuzziNew Jersey DevilsRW10066-300713225180%213113.17011050112110040.00%1073000.9100000010
10Nikita NesterovNew Jersey DevilsD140553208167040%1620714.800000200006000%037000.4800000000
11Ryan LindgrenNew Jersey DevilsD141231802125186115.56%1331122.26022142000039100%0310000.1900000100
12Wade AllisonNew Jersey DevilsLW141233401312209115.00%616812.04000000002510060.00%1003000.3600000000
13Brett LernoutNew Jersey DevilsD14022040312013870%2034024.29011450000150000%038000.1200000000
14Rudolfs BalcersNew Jersey DevilsLW140224402014144150%518213.05000010000060033.33%674000.2200000000
15Taylor RaddyshNew Jersey DevilsRW11022-26012426590%313412.2600017000010022.22%920000.3000000010
16Victor HedmanNew Jersey DevilsD140220407127750%1930121.51000032000234000%0112000.1300000000
17Alex OvechkinNew Jersey DevilsRW5011020721140%05210.420000100001000%311000.3800000000
18Eric GelinasNew Jersey DevilsD1310161351213102110.00%1018514.270000100003000%008000.1100001000
19Jamie OleksiakNew Jersey DevilsD70110951052360%914921.30000013000018000%005000.1300100000
20Miles WoodNew Jersey DevilsRW1110106017720375.00%1877.990000100000010%112000.2300000100
21Caleb JonesNew Jersey DevilsD3000200211110%14615.630000000000000%00200000000000
Statistiques d’équipe totales ou en moyenne25438579513159353213114701502488.09%147403115.8710142432388112113289250.06%8657993100.4702115576
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
1Andrei VasilevskiyNew Jersey Devils115410.9371.906310020319158020.6673104220
2Anthony StolarzNew Jersey Devils42200.9083.102130011119650000410100
Statistiques d’équipe totales ou en moyenne157610.9292.2084500314382230231414320


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Alex Ovechkin (contrat à 1 volet)New Jersey DevilsRW391985-09-17RUSNo236 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$409,574$0$0$No---------------------------Lien
Andrei Vasilevskiy (contrat à 1 volet)New Jersey DevilsG301994-07-25RUSNo225 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,000,000$2,457,447$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Andrew Mangiapane (contrat à 1 volet)New Jersey DevilsRW291996-04-04CANNo183 Lbs5 ft10NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,550,000$2,907,979$0$0$No---------------------------Lien
Anthony Cirelli (contrat à 1 volet)New Jersey DevilsC271997-07-15CANNo192 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm9,000,000$7,372,340$0$0$No9,000,000$--------9,000,000$--------No--------Lien
Anthony Stolarz (contrat à 1 volet)New Jersey DevilsG311994-01-20USANo240 Lbs6 ft6NoNoFree AgentNoNo32025-10-21FalseFalsePro & Farm2,550,000$2,088,830$0$0$No2,550,000$2,550,000$-------2,550,000$2,550,000$-------NoNo-------Lien
Brett Lernout (contrat à 1 volet)New Jersey DevilsD291995-09-24CANNo214 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,550,000$2,088,830$0$0$No2,550,000$--------2,550,000$--------No--------Lien
Caleb JonesNew Jersey DevilsD281997-06-06USANo194 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm624,999$511,967$0$0$No624,999$--------624,999$--------No--------Lien
Eric GelinasNew Jersey DevilsD341991-05-08CANNo216 Lbs6 ft4NoNoTrade2026-02-07NoNo12025-09-30FalseFalsePro & Farm1,274,999$1,044,414$0$0$No---------------------------Lien
Jamie OleksiakNew Jersey DevilsD321992-12-21CANNo256 Lbs6 ft7NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,700,000$1,392,553$0$0$No---------------------------Lien
Kevin Hayes (contrat à 1 volet)New Jersey DevilsC331992-05-08USANo216 Lbs6 ft5NoNoTrade2026-02-06NoNo22025-10-06FalseFalsePro & Farm5,000,000$4,095,745$0$0$No5,000,000$--------5,000,000$--------No--------Lien
Mason Marchment (contrat à 1 volet)New Jersey DevilsLW301995-06-18CANNo209 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,500,000$2,867,021$0$0$No3,500,000$--------3,500,000$--------No--------Lien
Miles WoodNew Jersey DevilsRW291995-09-13USANo194 Lbs6 ft2NoNoFree AgentNoNo22025-11-03FalseFalsePro & Farm550,000$450,532$0$0$No550,000$--------550,000$--------No--------Lien
Nikita Nesterov (contrat à 1 volet)New Jersey DevilsD321993-03-28RUSNo191 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,125,000$2,559,840$0$0$No---------------------------Lien
Oskar LindblomNew Jersey DevilsLW281996-08-15SWENo191 Lbs6 ft1NoNoTrade2025-12-18NoNo12025-09-30FalseFalsePro & Farm500,000$409,574$0$0$No---------------------------Lien
Rudolfs BalcersNew Jersey DevilsLW281997-04-08LVANo182 Lbs5 ft11NoNoTrade2026-02-07NoNo12025-09-30FalseFalsePro & Farm1,000,000$819,149$0$0$No---------------------------Lien
Ryan LindgrenNew Jersey DevilsD271998-02-11USANo190 Lbs6 ft0NoNoTrade2026-02-07NoNo22025-09-30FalseFalsePro & Farm1,430,000$1,171,383$0$0$No1,430,000$--------1,430,000$--------No--------Lien
Sam Bennett (contrat à 1 volet)New Jersey DevilsC291996-06-20CANNo194 Lbs6 ft1NoNoFree AgentNoNo42025-10-21FalseFalsePro & Farm3,500,000$2,867,021$0$0$No3,500,000$3,500,000$3,500,000$------3,500,000$3,500,000$3,500,000$------NoNoNo------Lien
Taylor RaddyshNew Jersey DevilsRW271998-02-18CANNo198 Lbs6 ft3NoNoTrade2026-02-22NoNo22025-11-01FalseFalsePro & Farm749,000$613,543$0$0$No749,000$--------749,000$--------No--------Lien
Trevor Zegras (contrat à 1 volet)New Jersey DevilsC242001-03-20USAYes185 Lbs6 ft0NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm9,000,000$7,372,340$0$0$No---------------------------Lien
Tyler BertuzziNew Jersey DevilsRW301995-02-24CANNo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,000,000$819,149$0$0$No---------------------------Lien
Tyler Toffoli (contrat à 1 volet)New Jersey DevilsRW331992-04-24CANNo196 Lbs6 ft0NoNoTrade2026-02-06NoNo22025-10-03FalseFalsePro & Farm5,000,000$4,095,745$0$0$No5,000,000$--------5,000,000$--------No--------Lien
Victor Hedman (contrat à 1 volet)New Jersey DevilsD341990-12-18SWENo245 Lbs6 ft6NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,550,000$4,546,277$0$0$No---------------------------Lien
Wade AllisonNew Jersey DevilsLW271997-10-14CANNo205 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$491,489$0$0$No600,000$--------600,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.00207 Lbs6 ft21.702,837,130$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
65,253,998$38,053,999$6,050,000$3,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason MarchmentTrevor ZegrasTyler Toffoli31014
2Rudolfs BalcersAnthony CirelliAndrew Mangiapane29014
3Oskar LindblomSam BennettTaylor Raddysh25023
4Wade AllisonKevin HayesMiles Wood15032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett LernoutRyan Lindgren35041
2Victor HedmanJamie Oleksiak35041
3Nikita NesterovEric Gelinas30041
4Eric GelinasVictor Hedman0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason MarchmentAnthony CirelliTyler Toffoli60014
2Rudolfs BalcersTrevor ZegrasAndrew Mangiapane40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett LernoutRyan Lindgren60014
2Victor HedmanJamie Oleksiak40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam BennettWade Allison60041
2Kevin HayesOskar Lindblom40032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett LernoutRyan Lindgren60230
2Victor HedmanJamie Oleksiak40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Wade Allison60041Brett LernoutRyan Lindgren60041
2Oskar Lindblom40131Victor HedmanJamie Oleksiak40032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliTrevor Zegras60014
2Kevin HayesMason Marchment40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett LernoutRyan Lindgren60023
2Victor HedmanJamie Oleksiak40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trevor ZegrasAnthony CirelliTyler ToffoliBrett LernoutRyan Lindgren
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oskar LindblomKevin HayesWade AllisonBrett LernoutRyan Lindgren
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Toffoli, Sam Bennett, Taylor RaddyshTrevor Zegras, Sam BennettTaylor Raddysh
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Nesterov, Jamie Oleksiak, Eric GelinasNikita NesterovNikita Nesterov, Eric Gelinas
Tirs de pénalité
Anthony Cirelli, Trevor Zegras, Tyler Toffoli, Mason Marchment, Rudolfs Balcers
Gardien
#1 : Andrei Vasilevskiy, #2 : Anthony Stolarz
Lignes d’attaque personnalisées en prolongation
Anthony Cirelli, Trevor Zegras, Tyler Toffoli, Mason Marchment, Rudolfs Balcers, Kevin Hayes, Sam Bennett, Andrew Mangiapane, Taylor Raddysh, Oskar Lindblom
Lignes de défense personnalisées en prolongation
Brett Lernout, Ryan Lindgren, Victor Hedman, Jamie Oleksiak, Nikita Nesterov


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
1Boston Bruins1010000024-21010000024-20000000000000.000235101010328121203598258112.50%40100.00%015832548.62%15932349.23%9718851.60%2112219179
2California Golden Seals11000000312110000003120000000000031.00035800111030611130321323205240.00%40100.00%015832548.62%15932349.23%9718851.60%2112209178
3Carolina Hurricanes1010000035-21010000035-20000000000000.0003580002103111137027111131200.00%3166.67%015832548.62%15932349.23%9718851.60%2213208178
4Florida Panthers1010000023-11010000023-10000000000000.00024600020032121010034161425500.00%7185.71%015832548.62%15932349.23%9718851.60%2011219179
5Hamilton Mustangs1010000002-2000000000001010000002-200.00000000000015672033111117600.00%30100.00%015832548.62%15932349.23%9718851.60%189239179
6Montreal Canadiens1010000024-2000000000001010000024-200.00023500110029713903913422300.00%2150.00%015832548.62%15932349.23%9718851.60%2013239157
7New York Islanders11000000312000000000001100000031231.0003690010204210191303210420300.00%20100.00%015832548.62%15932349.23%9718851.60%2113219168
8New York Rangers1000000123-11000000123-10000000000010.3332460001102812133326131027200.00%5260.00%015832548.62%15932349.23%9718851.60%2010259188
9Ottawa Senators1010000013-2000000000001010000013-200.000112100100318101303015819100.00%40100.00%015832548.62%15932349.23%9718851.60%2012219177
10Philadelphia Flyers11000000413110000004130000000000031.0004610000310335181003312425200.00%20100.00%015832548.62%15932349.23%9718851.60%2113239157
11San Jose Sharks11000000422110000004220000000000031.000461000121038817130301129219444.44%7185.71%015832548.62%15932349.23%9718851.60%2112219167
12Tampa Bay Lightning10001000211000000000001000100021120.66724600010132111164368821200.00%40100.00%015832548.62%15932349.23%9718851.60%2314228167
13Toronto Maple Leafs11000000312110000003120000000000031.0003470010203715616028124223133.33%20100.00%015832548.62%15932349.23%9718851.60%2415208158
14Vegas Golden Knights11000000532000000000001100000053231.00058130003202710710025101720100.00%6266.67%115832548.62%15932349.23%9718851.60%1910229188
Total146601001363428430000123203623010001314-1210.50036599520617121437129167137744016415531552815.38%55885.45%115832548.62%15932349.23%9718851.60%299175309127237117
_Since Last GM Reset146601001363428430000123203623010001314-1210.50036599520617121437129167137744016415531552815.38%55885.45%115832548.62%15932349.23%9718851.60%299175309127237117
_Vs Conference1136010012428-4623000011617-151301000811-3120.36424406420411813421051321017353130862543725.41%38586.84%015832548.62%15932349.23%9718851.60%2371402449918492
_Vs Division613010011417-340300001915-62100100052360.333142640102651197647851719067551492214.55%25484.00%015832548.62%15932349.23%9718851.60%131761315310351

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1421L136599543744016415531520
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
146610013634
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84300012320
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
62310001314
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
52815.38%55885.45%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
1291671377617121
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
15832548.62%15932349.23%9718851.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
299175309127237117


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
15Florida Panthers3New Jersey Devils2LSommaire du match
318Carolina Hurricanes5New Jersey Devils3LSommaire du match
535New York Rangers3New Jersey Devils2LXXSommaire du match
748New Jersey Devils2Tampa Bay Lightning1WXSommaire du match
962New Jersey Devils3New York Islanders1WSommaire du match
1177New Jersey Devils2Montreal Canadiens4LSommaire du match
1390Boston Bruins4New Jersey Devils2LSommaire du match
15107San Jose Sharks2New Jersey Devils4WSommaire du match
17118California Golden Seals1New Jersey Devils3WSommaire du match
19130New Jersey Devils5Vegas Golden Knights3WSommaire du match
22141Philadelphia Flyers1New Jersey Devils4WSommaire du match
26161New Jersey Devils0Hamilton Mustangs2LSommaire du match
30178Toronto Maple Leafs1New Jersey Devils3WSommaire du match
32188New Jersey Devils1Ottawa Senators3LSommaire du match
36209Quebec Nordiques-New Jersey Devils-
39222Pittsburgh Penguins-New Jersey Devils-
42236New Jersey Devils-Pittsburgh Penguins-
45248New Jersey Devils-Quebec Nordiques-
47257Ottawa Senators-New Jersey Devils-
49267New Jersey Devils-Toronto Maple Leafs-
53287New Jersey Devils-Hamilton Mustangs-
55296New Jersey Devils-Philadelphia Flyers-
59314Anaheim Mighty Ducks-New Jersey Devils-
62330Columbus Blue Jackets-New Jersey Devils-
64347Edmonton Oilers-New Jersey Devils-
66358New Jersey Devils-Chicago Blackhawks-
68374Montreal Canadiens-New Jersey Devils-
70389New York Islanders-New Jersey Devils-
72403Tampa Bay Lightning-New Jersey Devils-
73412New Jersey Devils-New York Rangers-
76425Seattle Kraken-New Jersey Devils-
78437Los Angeles Kings-New Jersey Devils-
80451New Jersey Devils-Vancouver Canucks-
83465New Jersey Devils-Ottawa Senators-
85480Quebec Nordiques-New Jersey Devils-
88495Pittsburgh Penguins-New Jersey Devils-
91507New Jersey Devils-St Louis Blues-
94528St Louis Blues-New Jersey Devils-
96542Detroit Red Wings-New Jersey Devils-
97549New Jersey Devils-Detroit Red Wings-
99563Colorado Avalanche-New Jersey Devils-
101577Winnipeg Jets-New Jersey Devils-
103589New Jersey Devils-Carolina Hurricanes-
106604New Jersey Devils-Florida Panthers-
109621New Jersey Devils-Boston Bruins-
113631Philadelphia Flyers-New Jersey Devils-
116654Hamilton Mustangs-New Jersey Devils-
120669Toronto Maple Leafs-New Jersey Devils-
122683New Jersey Devils-Edmonton Oilers-
123690New Jersey Devils-Columbus Blue Jackets-
126714New Jersey Devils-Anaheim Mighty Ducks-
128728Vegas Golden Knights-New Jersey Devils-
129738New Jersey Devils-California Golden Seals-
132752New Jersey Devils-San Jose Sharks-
134763Montreal Canadiens-New Jersey Devils-
136776New Jersey Devils-New York Islanders-
138790New Jersey Devils-Tampa Bay Lightning-
141805New York Rangers-New Jersey Devils-
144826Chicago Blackhawks-New Jersey Devils-
147840New Jersey Devils-Seattle Kraken-
149850New Jersey Devils-Los Angeles Kings-
151860Vancouver Canucks-New Jersey Devils-
153869New Jersey Devils-Colorado Avalanche-
156888New Jersey Devils-Winnipeg Jets-
159906Ottawa Senators-New Jersey Devils-
161922New Jersey Devils-Quebec Nordiques-
163937New Jersey Devils-Pittsburgh Penguins-
165946New Jersey Devils-Toronto Maple Leafs-
167966Hamilton Mustangs-New Jersey Devils-
169975New Jersey Devils-Philadelphia Flyers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172992New Jersey Devils-Montreal Canadiens-
1741008New York Islanders-New Jersey Devils-
1761022Tampa Bay Lightning-New Jersey Devils-
1781036New Jersey Devils-New York Rangers-
1801040Carolina Hurricanes-New Jersey Devils-
1811054New Jersey Devils-Carolina Hurricanes-
1831069Florida Panthers-New Jersey Devils-
1841083New Jersey Devils-Florida Panthers-
1861098Boston Bruins-New Jersey Devils-
1871117New Jersey Devils-Boston Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance40,12932,76514,17825,6128,226
Attendance PCT84.45%84.27%89.51%80.85%81.61%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 15114 - 83.97% 1,097,143$8,777,141$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
13,949,671$ 70,253,998$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 13,949,671$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
35,108,564$ 154 373,691$ 57,548,414$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
58,585,142$ 59,961,341$ 38,430,695$



Charte de profondeur

Ailier gaucheCentreAilier droit
Mason MarchmentAGE:30PO:55OV:77
Rudolfs BalcersAGE:28PO:55OV:72
Oskar LindblomAGE:28PO:55OV:70
Milan LucicAGE:37PO:55OV:69
Wade AllisonAGE:27PO:55OV:69
Brad MarchandAGE:37PO:55OV:68
Ryan LombergAGE:30PO:55OV:68
Alex Barre-BouletAGE:28PO:55OV:65
Ryan ReavesAGE:38PO:55OV:65
Brandon BaddockAGE:30PO:55OV:62
Anthony CirelliAGE:27PO:55OV:80
Trevor Zegras (R)AGE:24PO:55OV:79
Sam BennettAGE:29PO:55OV:76
Kevin HayesAGE:33PO:55OV:73
Frederik GauthierAGE:30PO:55OV:69
Johan LarssonAGE:32PO:55OV:69
Vinni LettieriAGE:30PO:55OV:66
Cal O'ReillyAGE:38PO:55OV:64
Andrew MangiapaneAGE:29PO:55OV:75
Tyler ToffoliAGE:33PO:55OV:74
Tyler BertuzziAGE:30PO:55OV:73
Miles WoodAGE:29PO:55OV:71
Taylor RaddyshAGE:27PO:55OV:70
Alex OvechkinAGE:39PO:55OV:69
Logan BrownAGE:27PO:55OV:69
Mikael Pyyhtia (R)AGE:23PO:55OV:68
Linus OmarkAGE:38PO:55OV:66
Leo KomarovAGE:38PO:55OV:65
Mats ZuccarelloAGE:37PO:55OV:65
Ryan ReavesAGE:38PO:55OV:65
Hudson FaschingAGE:29PO:55OV:64
Jesper FrodenAGE:30PO:55OV:64

Défense #1Défense #2Gardien
Brett LernoutAGE:29PO:55OV:78
Ryan LindgrenAGE:27PO:55OV:78
Eric GelinasAGE:34PO:55OV:74
Nikita NesterovAGE:32PO:55OV:74
Victor HedmanAGE:34PO:55OV:74
Jamie OleksiakAGE:32PO:55OV:73
Philip LarsenAGE:35PO:55OV:73
Caleb JonesAGE:28PO:55OV:71
Jeff PetryAGE:37PO:55OV:71
Korbinian HolzerAGE:37PO:55OV:71
Christian JarosAGE:29PO:55OV:70
Oscar FantenbergAGE:33PO:55OV:69
Jake WalmanAGE:29PO:55OV:68
Kyle BurroughsAGE:29PO:55OV:68
William LagessonAGE:29PO:55OV:68
Andreas BorgmanAGE:30PO:55OV:67
Mitch ReinkeAGE:29PO:55OV:64
Andrei VasilevskiyAGE:30PO:55OV:80
Anthony StolarzAGE:31PO:55OV:75
Garret SparksAGE:32PO:55OV:73
TOMI KARHUNENAGE:35PO:52OV:72
Dustin TokarskiAGE:35PO:61OV:71
NIKLAS RUBINAGE:29PO:52OV:71

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
0x RFA Tag (Gabriel Landeskog Y26)New Jersey Devils000Lien
1 000 000 Money TradedNew Jersey Devils00
1 000 000 NSHL25 Waiver BucksNew Jersey Devils00
11x TC PTSNew Jersey Devils000Lien
1x NSHL26 ODW ClaimNew Jersey Devils000Lien
9x LTCsNew Jersey Devils000Lien
Ryan GroppNew Jersey Devils151120Lien
Tyler ParsonsNew Jersey Devils16980Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




New Jersey Devils Historique de transactions

[2026-02-22 1:13:22 PM] TRADE : From Toronto Maple Leafs to New Jersey Devils : Taylor Raddysh (70), Oscar Fantenberg (69).
[2026-02-22 1:13:22 PM] TRADE : From New Jersey Devils to Toronto Maple Leafs : Mike Matheson (72), Matthew Highmore (68), Y:29-RND:6-NJD.
[2026-02-13 2:04:53 PM] New Record for Team's Most Points (13) in 1 Game for New Jersey Devils!
[2026-02-13 2:04:53 PM] New Record for Team's Most Assists (8) in 1 Game for New Jersey Devils!
[2026-02-13 2:04:53 PM] New Record for Team's Most Goals (5) in 1 Game for New Jersey Devils!
[2026-02-09 2:11:37 PM] 1 000 000 Money Traded has been added to New Jersey Devils.
[2026-02-09 2:08:41 PM] New Record for Team's Most Penalties Minutes (29) in 1 Game for New Jersey Devils!
[2026-02-09 2:08:41 PM] New Record for Team's Most Points (10) in 1 Game for New Jersey Devils!
[2026-02-09 2:08:41 PM] New Record for Team's Most Goals (4) in 1 Game for New Jersey Devils!
[2026-02-07 5:09:40 PM] TRADE : From Toronto Maple Leafs to New Jersey Devils : Eric Gelinas (74), Ryan Lindgren (78), Philip Larsen (73), Rudolfs Balcers (72), Y:27-RND:5-WPG.
[2026-02-07 5:09:40 PM] TRADE : From New Jersey Devils to Toronto Maple Leafs : Brett Pesce (77), Nick Blankenburg (74), Brandon Saad (76), $1,000,000 (Money).
[2026-02-06 2:12:13 PM] TRADE : From New Jersey Devils to Detroit Red Wings : Gabriel Landeskog (78), Ryan O'Reilly (76).
[2026-02-06 2:12:13 PM] TRADE : From Detroit Red Wings to New Jersey Devils : Kevin Hayes (73), Tyler Toffoli (74), Mikael Pyyhtia (68).
[2026-02-03 2:12:00 PM] New Record for Team's Most Shots (42) in 1 Game for New Jersey Devils!
[2026-02-03 2:12:00 PM] New Record for Team's Most Points (9) in 1 Game for New Jersey Devils!
[2026-02-03 2:12:00 PM] New Record for Team's Most Assists (6) in 1 Game for New Jersey Devils!
[2026-02-01 10:47:57 AM] Brett Pesce has been selected as assistant for New Jersey Devils.
[2026-02-01 10:47:56 AM] Unknown Player is no longer as assistant for New Jersey Devils.
[2026-02-01 10:47:53 AM] Brandon Saad has been selected as assistant for New Jersey Devils.
[2026-02-01 10:47:52 AM] Unknown Player is no longer as assistant for New Jersey Devils.
[2026-02-01 10:47:42 AM] Brett Lernout has been selected as the team Captain for the New Jersey Devils.
[2026-02-01 10:47:41 AM] Unknown Player is no longer captain for New Jersey Devils.



Pas de blessure ou de suspension.


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