New Jersey Devils

GP: 49 | W: 34 | L: 13 | OTL: 2 | P: 70
GF: 157 | GA: 118 | PP%: 21.29% | PK%: 83.62%
DG: Thomas Perron-Bibeau | Morale : 82 | Moyenne d'Équipe : 73
Prochain matchs #783 vs Nashville Predators
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Mark ScheifeleX100.006440838485889582868383828371728385780
2Steven StamkosXXX100.006744738776839585798684678977887482780
3Brad MarchandX100.005856648066859279618985788079805183770
4Brock BoeserX100.005438868179858279567882578063658185720
5Nino NiederreiterXX100.007338817684819574577375597673707885710
6Nick SchmaltzXXX100.005237887770835376757772747365678182700
7Casey CizikasX100.008440816671768665826469886675715277700
8Nikolaj EhlersXX100.005742868069817579537478618065678585700
9Mark JankowskiX100.005836866789739266786568826769667985690
10Mattias JanmarkXXX100.005438866976789468616766746973675585680
11Matt CullenXX100.005437886478698463806462776193852585670
12Drake Batherson (R)XX100.006238856981837468587064666362645885660
13Shea WeberX100.008840797492907173307778825184923981770
14Tyler MyersX100.007348736799869365307766825377726977740
15Erik KarlssonX100.006439828072916878309266745977806867730
16Nikita ZaitsevX100.008337846579869464307061825375683685730
17Roman PolakX100.008949716088859058306457854982732985730
18Travis DermottX100.008138866975837768307462665165637782680
Rayé
MOYENNE D'ÉQUIPE100.00684181737983847256757174677473628272
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Andrei Vasilevskiy100.00989593899796989796989769738073900
2Brian Elliott100.00868280828584868584868584882885830
Rayé
MOYENNE D'ÉQUIPE100.0092898786919092919092917781547987
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn85808176787371USA5251,000,000$


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
1Mark ScheifeleNew Jersey DevilsC492427518420981481965714412.24%1097419.9061521311770001731554.92%120900101.0515000732
2Nick SchmaltzNew Jersey DevilsC/LW/RW4914274113403169138389110.14%887017.76481232162000077151.77%28200000.9400000264
3Brad MarchandNew Jersey DevilsLW492219411341076981734510812.72%9109822.437815391830002606146.27%13400020.7525011522
4Shea WeberNew Jersey DevilsD4763541125001325910030586.00%65118625.2531013571920114128020.00%000000.6900000304
5Steven StamkosNew Jersey DevilsC/LW/RW46161935124098101162581169.88%994420.54881633169000024247.98%96300000.7412000144
6Erik KarlssonNew Jersey DevilsD46427312341024595920416.78%36101522.074101449204000065100.00%000000.6100200001
7Brock BoeserNew Jersey DevilsRW491315281403440109328511.93%389118.2044832164000001150.60%8300000.6303000233
8Nikolaj EhlersNew Jersey DevilsLW/RW49101828680336010537749.52%478215.9726822162000001037.50%6400000.7211000113
9Tyler MyersNew Jersey DevilsD4832225835565565514415.45%56110623.06279261470001120010.00%000000.4500010005
10Casey CizikasNew Jersey DevilsC4981422133401131109017478.89%1665513.380000011251741151.00%95100000.6700000122
11Travis DermottNew Jersey DevilsD492141672403728235148.70%2371714.64145810500008000.00%000000.4500000100
12Mattias JanmarkNew Jersey DevilsC/LW/RW4969151420113160163510.00%1254611.16000030000304025.00%4400000.5500000120
13Mark JankowskiNew Jersey DevilsC496713360205743173313.95%1049210.060000011261841048.88%35600100.5300000011
14Nino NiederreiterNew Jersey DevilsLW/RW49851311180582868213711.76%466913.66000126000002139.53%4300000.3900000120
15Nikita ZaitsevNew Jersey DevilsD4948121400113543361812.12%6098120.042028430000127100.00%000000.2400000030
16Roman PolakNew Jersey DevilsD4927913435121402082210.00%7179416.21000030000143000.00%000000.2300001120
17Drake BathersonNew Jersey DevilsC/RW49347-311526132931210.34%12785.6900001000000050.00%1400000.5000001000
18Matt CullenNew Jersey DevilsC/LW49314-38015192691711.54%33437.01000000001611150.00%2800000.2300000010
19Robert ThomasDevils (New)C/RW3011000110010.00%0155.180000000000000.00%100001.2900000000
20Rasmus AnderssonDevils (New)D6000000445120.00%49415.710001300007000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne8821542794331084213511101075149443499610.31%4041446116.4043801233391752235201199311650.53%417200220.60516223263231
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 Devils39261010.9142.23225802849800100.77893910500
2Brian ElliottNew Jersey Devils148310.9082.7071100323470000.66761039200
Stats d'équipe Total ou en Moyenne53341320.9132.3429700211613270100.733154949700


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andrei VasilevskiyNew Jersey DevilsG241994-07-25No215 Lbs6 ft4NoNoNo3Pro & Farm5,000,000$5,000,000$1,818,182$No5,000,000$5,000,000$Lien
Brad MarchandNew Jersey DevilsLW311988-05-11No181 Lbs5 ft9NoNoNo3Pro & Farm5,000,000$5,000,000$1,818,182$No5,000,000$5,000,000$Lien
Brian ElliottNew Jersey DevilsG341985-04-09No209 Lbs6 ft2NoNoNo3Pro & Farm2,000,000$2,000,000$727,273$No2,000,000$2,000,000$Lien
Brock BoeserNew Jersey DevilsRW221997-02-25No208 Lbs6 ft1NoNoNo3Pro & Farm900,000$900,000$327,273$No900,000$900,000$Lien
Casey CizikasNew Jersey DevilsC281991-02-27No195 Lbs5 ft11NoNoNo1Pro & Farm2,500,000$2,500,000$909,091$NoLien
Drake BathersonNew Jersey DevilsC/RW211998-04-27Yes187 Lbs6 ft3NoNoNo4Pro & Farm500,000$500,000$181,818$No500,000$500,000$500,000$Lien
Erik KarlssonNew Jersey DevilsD291990-05-31No190 Lbs6 ft0NoNoNo4Pro & Farm5,000,000$5,000,000$1,818,182$No5,000,000$5,000,000$5,000,000$Lien
Mark JankowskiNew Jersey DevilsC241994-09-13No212 Lbs6 ft4NoNoNo2Pro & Farm900,000$900,000$327,273$No900,000$Lien
Mark ScheifeleNew Jersey DevilsC261993-03-15No207 Lbs6 ft3NoNoNo1Pro & Farm4,948,700$4,948,700$1,799,527$NoLien
Matt CullenNew Jersey DevilsC/LW421976-11-02No202 Lbs6 ft1NoNoNo3Pro & Farm1,004,790$1,004,790$365,378$No1,004,790$1,004,790$Lien
Mattias JanmarkNew Jersey DevilsC/LW/RW261992-12-08No195 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$181,818$NoLien
Nick SchmaltzNew Jersey DevilsC/LW/RW231996-02-23No177 Lbs6 ft0NoNoNo2Pro & Farm900,000$900,000$327,273$No900,000$Lien
Nikita ZaitsevNew Jersey DevilsD271991-10-29No193 Lbs6 ft2NoNoNo2Pro & Farm900,000$900,000$327,273$No900,000$Lien
Nikolaj EhlersNew Jersey DevilsLW/RW231996-02-14No172 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$327,273$NoLien
Nino NiederreiterNew Jersey DevilsLW/RW261992-09-08No218 Lbs6 ft2NoNoNo1Pro & Farm2,500,000$2,500,000$909,091$NoLien
Roman PolakNew Jersey DevilsD331986-04-28No240 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$1,000,000$363,636$No1,000,000$Lien
Shea WeberNew Jersey DevilsD331985-08-14No229 Lbs6 ft4NoNoNo1Pro & Farm5,000,000$5,000,000$1,818,182$NoLien
Steven StamkosNew Jersey DevilsC/LW/RW291990-02-07No194 Lbs6 ft1NoNoNo3Pro & Farm6,500,000$6,500,000$2,363,636$No6,500,000$6,500,000$Lien
Travis DermottNew Jersey DevilsD221996-12-22No204 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$181,818$No500,000$Lien
Tyler MyersNew Jersey DevilsD291990-02-01No229 Lbs6 ft8NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2027.60203 Lbs6 ft22.202,497,675$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,953,490$33,604,790$25,904,790$5,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brad MarchandSteven StamkosNino Niederreiter40122
2Nick SchmaltzMark ScheifeleBrock Boeser32122
3Mattias JanmarkCasey CizikasNikolaj Ehlers21122
4Matt CullenMark JankowskiDrake Batherson7131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberTyler Myers40122
2Erik KarlssonNikita Zaitsev35131
3Erik KarlssonRoman Polak20131
4Shea WeberTyler Myers5122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brad MarchandMark ScheifeleSteven Stamkos60113
2Nikolaj EhlersNick SchmaltzBrock Boeser40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik KarlssonShea Weber60113
2Tyler MyersErik Karlsson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Casey CizikasMark Jankowski60050
2Mark ScheifeleBrad Marchand40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberRoman Polak60140
2Tyler MyersNikita Zaitsev40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Casey Cizikas60050Shea WeberRoman Polak60050
2Mark Jankowski40050Tyler MyersNikita Zaitsev40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mark ScheifeleBrad Marchand60122
2Steven StamkosNick Schmaltz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberTyler Myers60122
2Erik KarlssonNikita Zaitsev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brad MarchandMark ScheifeleSteven StamkosErik KarlssonShea Weber
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mark JankowskiCasey CizikasMark ScheifeleShea WeberRoman Polak
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mark Scheifele, Nick Schmaltz, Nikolaj EhlersNino Niederreiter, Brock BoeserBrad Marchand
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Erik Karlsson, Shea Weber, Tyler MyersShea WeberErik Karlsson, Shea Weber
Tirs de Pénalité
Mark Scheifele, Brad Marchand, Steven Stamkos, Brock Boeser, Nikolaj Ehlers
Gardien
#1 : Andrei Vasilevskiy, #2 : Brian Elliott


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Anaheim Ducks1010000047-31010000047-30000000000000.000471100121031101110023710175120.00%4325.00%0927178551.93%834164550.70%34770749.08%2518206136
2Boston Bruins321000001284220000009451010000034-140.6671221330036307615382308636286812216.67%13192.31%0927178551.93%834164550.70%34770749.08%704870223818
3Buffalo Sabres21001000752000000000002100100075241.000713200013216424261225815144910440.00%6266.67%0927178551.93%834164550.70%34770749.08%523743122512
4Calgary Flames11000000532000000000001100000053221.00058130013103512167037101031100.00%5180.00%0927178551.93%834164550.70%34770749.08%2013267136
5Carolina Hurricanes1000000112-1000000000001000000112-110.50012300100026810652888234125.00%40100.00%0927178551.93%834164550.70%34770749.08%2617257137
6Chicago Blackhawks220000001046110000005141100000053241.0001020300024408730213604417143812433.33%6183.33%0927178551.93%834164550.70%34770749.08%523843132412
7Colorado Avalanche21000010936100000103211100000061541.00091625003232602116224471510399333.33%40100.00%0927178551.93%834164550.70%34770749.08%553842142714
8Columbus Blue Jackets21001000963000000000002100100096341.00091625002331762323273561018506233.33%9277.78%0927178551.93%834164550.70%34770749.08%503545152411
9Dallas Stars1010000012-1000000000001010000012-100.0001120010002712780248817300.00%40100.00%0927178551.93%834164550.70%34770749.08%2215266116
10Detroit Red Wings11000000514110000005140000000000021.00051015001310366151502496174250.00%3166.67%0927178551.93%834164550.70%34770749.08%2517237115
11Edmonton Oilers2110000034-11010000003-31100000031220.500369000210632017260571912485240.00%30100.00%0927178551.93%834164550.70%34770749.08%513743122513
12Florida Panthers11000000303110000003030000000000021.000369011200187830297627200.00%30100.00%0927178551.93%834164550.70%34770749.08%2315236126
13Minnesota Wild11000000431110000004310000000000021.0004711002110351611801972238337.50%10100.00%0927178551.93%834164550.70%34770749.08%2619197136
14Montreal Canadiens20100010550000000000002010001055020.5005712002111521717156551920456233.33%9188.89%0927178551.93%834164550.70%34770749.08%503449152512
15Nashville Predators10001000211000000000001000100021121.00022400001122894131101225200.00%60100.00%0927178551.93%834164550.70%34770749.08%2214277115
16New York Islanders21001000743110000002021000100054141.0007132001222151121720244917421516.67%6183.33%0927178551.93%834164550.70%34770749.08%553941152513
17New York Rangers3210000078-12110000047-31100000031240.667711180042108533232907927225819421.05%10280.00%0927178551.93%834164550.70%34770749.08%735369203718
18Ottawa Senators330000001248110000004132200000083561.0001222340054309938303107618146217423.53%7185.71%0927178551.93%834164550.70%34770749.08%785565223517
19Philadelphia Flyers21100000440110000003121010000013-220.5004610000220672218270431717429111.11%6183.33%0927178551.93%834164550.70%34770749.08%523644142312
20Phoenix Coyotes220000001028110000006151100000041341.000101828001360681820300571919507228.57%7185.71%1927178551.93%834164550.70%34770749.08%493444142512
21Pittsburgh Penguins2010001067-1100000105411010000013-220.5006915001132562013207471525358112.50%100100.00%0927178551.93%834164550.70%34770749.08%463052152613
22Tampa Bay Lightning20001001440200010014400000000000030.750471100111169192124864262358800.00%9188.89%1927178551.93%834164550.70%34770749.08%493352152411
23Toronto Maple Leafs2110000037-4110000003211010000005-520.50036900012042112011053151444700.00%7271.43%0927178551.93%834164550.70%34770749.08%513644152411
Total492613050321571183923145010217552232612804011826616700.7141572794360243545210149448047751538132740442111102024321.29%1772983.62%2927178551.93%834164550.70%34770749.08%12188511139357614308
25Vancouver Canucks211000007521010000023-11100000052320.50071118002140542212200581718595240.00%9277.78%0927178551.93%834164550.70%34770749.08%432952152411
26Vegas Golden Knights11000000422110000004220000000000021.000481200031032613130335631400.00%30100.00%0927178551.93%834164550.70%34770749.08%2416227127
27Washington Capitals31200000813-51010000014-32110000079-220.33381624004130922128430962652684125.00%15566.67%0927178551.93%834164550.70%34770749.08%654477223716
28Winnipeg Jets21100000541110000004221010000012-120.500510150021207129172505913164410110.00%8187.50%0927178551.93%834164550.70%34770749.08%523742132412
_Since Last GM Reset492613050321571183923145010217552232612804011826616700.7141572794360243545210149448047751538132740442111102024321.29%1772983.62%2927178551.93%834164550.70%34770749.08%12188511139357614308
_Vs Conference311580402293781514920101143281517660301150500440.71093165258022832277909276307306338382572846881312519.08%1172082.91%1927178551.93%834164550.70%34770749.08%770537729229385191
_Vs Division1565020114244-2632000101516-1933020012728-1190.633427311501141114445313913217217393112159318651116.92%601181.67%0927178551.93%834164550.70%34770749.08%36825635611118794

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4970W315727943614941327404421111002
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4926135032157118
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2314510217552
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2612840118266
Derniers 10 Matchs
WLOTWOTL SOWSOL
521011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2024321.29%1772983.62%2
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
4804775153843545210
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
927178551.93%834164550.70%34770749.08%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12188511139357614308


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
3 - 2019-09-0414Winnipeg Jets2New Jersey Devils4WSommaire du Match
4 - 2019-09-0518New Jersey Devils4Buffalo Sabres3WXSommaire du Match
8 - 2019-09-0945New Jersey Devils1Philadelphia Flyers3LSommaire du Match
9 - 2019-09-1049Edmonton Oilers3New Jersey Devils0LSommaire du Match
11 - 2019-09-1265New Jersey Devils3Boston Bruins4LSommaire du Match
13 - 2019-09-1480Florida Panthers0New Jersey Devils3WSommaire du Match
16 - 2019-09-17100New York Rangers6New Jersey Devils2LSommaire du Match
18 - 2019-09-19113Vancouver Canucks3New Jersey Devils2LSommaire du Match
24 - 2019-09-25157Phoenix Coyotes1New Jersey Devils6WSommaire du Match
29 - 2019-09-30188Tampa Bay Lightning1New Jersey Devils2WXSommaire du Match
31 - 2019-10-02196Philadelphia Flyers1New Jersey Devils3WSommaire du Match
32 - 2019-10-03211New Jersey Devils1Carolina Hurricanes2LXXSommaire du Match
35 - 2019-10-06229New Jersey Devils1Winnipeg Jets2LSommaire du Match
37 - 2019-10-08245New Jersey Devils5Calgary Flames3WSommaire du Match
38 - 2019-10-09251New Jersey Devils3Edmonton Oilers1WSommaire du Match
40 - 2019-10-11265New Jersey Devils5Vancouver Canucks2WSommaire du Match
43 - 2019-10-14281Ottawa Senators1New Jersey Devils4WSommaire du Match
45 - 2019-10-16295Pittsburgh Penguins4New Jersey Devils5WXXSommaire du Match
46 - 2019-10-17305New Jersey Devils2Montreal Canadiens3LSommaire du Match
49 - 2019-10-20320Boston Bruins2New Jersey Devils4WSommaire du Match
52 - 2019-10-23346New Jersey Devils1Pittsburgh Penguins3LSommaire du Match
53 - 2019-10-24356Detroit Red Wings1New Jersey Devils5WSommaire du Match
56 - 2019-10-27375Minnesota Wild3New Jersey Devils4WSommaire du Match
58 - 2019-10-29390New Jersey Devils3Montreal Canadiens2WXXSommaire du Match
60 - 2019-10-31403New York Rangers1New Jersey Devils2WSommaire du Match
62 - 2019-11-02419New Jersey Devils3Buffalo Sabres2WSommaire du Match
63 - 2019-11-03427Vegas Golden Knights2New Jersey Devils4WSommaire du Match
66 - 2019-11-06447Chicago Blackhawks1New Jersey Devils5WSommaire du Match
67 - 2019-11-07460New Jersey Devils2Nashville Predators1WXSommaire du Match
70 - 2019-11-10478New Jersey Devils1Dallas Stars2LSommaire du Match
73 - 2019-11-13500New Jersey Devils6Colorado Avalanche1WSommaire du Match
74 - 2019-11-14512New Jersey Devils4Phoenix Coyotes1WSommaire du Match
78 - 2019-11-18535Anaheim Ducks7New Jersey Devils4LSommaire du Match
80 - 2019-11-20549Washington Capitals4New Jersey Devils1LSommaire du Match
81 - 2019-11-21561New Jersey Devils4Columbus Blue Jackets3WXSommaire du Match
83 - 2019-11-23578New Jersey Devils5Chicago Blackhawks3WSommaire du Match
87 - 2019-11-27583Toronto Maple Leafs2New Jersey Devils3WSommaire du Match
89 - 2019-11-29603New Jersey Devils5Ottawa Senators2WSommaire du Match
91 - 2019-12-01613Boston Bruins2New Jersey Devils5WSommaire du Match
93 - 2019-12-03630New Jersey Devils5New York Islanders4WXSommaire du Match
95 - 2019-12-05649Colorado Avalanche2New Jersey Devils3WXXSommaire du Match
98 - 2019-12-08665New York Islanders0New Jersey Devils2WSommaire du Match
100 - 2019-12-10682New Jersey Devils3New York Rangers1WSommaire du Match
102 - 2019-12-12696New Jersey Devils3Washington Capitals7LSommaire du Match
103 - 2019-12-13708Tampa Bay Lightning3New Jersey Devils2LXXSommaire du Match
105 - 2019-12-15715New Jersey Devils0Toronto Maple Leafs5LSommaire du Match
107 - 2019-12-17732New Jersey Devils4Washington Capitals2WSommaire du Match
109 - 2019-12-19751New Jersey Devils5Columbus Blue Jackets3WSommaire du Match
118 - 2019-12-28769New Jersey Devils3Ottawa Senators1WSommaire du Match
121 - 2019-12-31783Nashville Predators-New Jersey Devils-
123 - 2020-01-02798Dallas Stars-New Jersey Devils-
126 - 2020-01-05815Montreal Canadiens-New Jersey Devils-
128 - 2020-01-07832New Jersey Devils-Philadelphia Flyers-
130 - 2020-01-09849Los Angeles Kings-New Jersey Devils-
133 - 2020-01-12868Florida Panthers-New Jersey Devils-
135 - 2020-01-14884Detroit Red Wings-New Jersey Devils-
136 - 2020-01-15894New Jersey Devils-Carolina Hurricanes-
138 - 2020-01-17912Columbus Blue Jackets-New Jersey Devils-
140 - 2020-01-19924New Jersey Devils-St. Louis Blues-
142 - 2020-01-21934San Jose Sharks-New Jersey Devils-
144 - 2020-01-23948Washington Capitals-New Jersey Devils-
147 - 2020-01-26975New Jersey Devils-Detroit Red Wings-
149 - 2020-01-28993New Jersey Devils-San Jose Sharks-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-301000New Jersey Devils-Los Angeles Kings-
152 - 2020-01-311015New Jersey Devils-Anaheim Ducks-
154 - 2020-02-021027New Jersey Devils-Vegas Golden Knights-
157 - 2020-02-051043St. Louis Blues-New Jersey Devils-
158 - 2020-02-061056New Jersey Devils-New York Rangers-
161 - 2020-02-091072Pittsburgh Penguins-New Jersey Devils-
163 - 2020-02-111086Carolina Hurricanes-New Jersey Devils-
165 - 2020-02-131102New Jersey Devils-Florida Panthers-
166 - 2020-02-141114New Jersey Devils-Tampa Bay Lightning-
168 - 2020-02-161123New Jersey Devils-Toronto Maple Leafs-
170 - 2020-02-181139Calgary Flames-New Jersey Devils-
172 - 2020-02-201157New York Islanders-New Jersey Devils-
174 - 2020-02-221171Columbus Blue Jackets-New Jersey Devils-
177 - 2020-02-251198New Jersey Devils-Minnesota Wild-
179 - 2020-02-271206Philadelphia Flyers-New Jersey Devils-
180 - 2020-02-281219Carolina Hurricanes-New Jersey Devils-
182 - 2020-03-011230New Jersey Devils-Pittsburgh Penguins-
184 - 2020-03-031244Buffalo Sabres-New Jersey Devils-
186 - 2020-03-051266New Jersey Devils-New York Islanders-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets75402010140
Assistance136,332113,29545,95492,00022,793
Attendance PCT98.79%98.52%99.90%100.00%99.10%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
18 17842 - 99.12% 438,751$10,091,267$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
31,897,711$ 49,953,490$ 12,093,999$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,953,490$ 31,231,902$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
7,897,513$ 68 272,479$ 18,528,572$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
19,753,322$ 49,953,490$ 65,172,703$ 53,316,894$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Steven StamkosAGE:29PO:74OV:78
Brad MarchandAGE:31PO:51OV:77
Nino NiederreiterAGE:26PO:78OV:71
Nikolaj EhlersAGE:23PO:85OV:70
Nick SchmaltzAGE:23PO:81OV:70
Mattias JanmarkAGE:26PO:55OV:68
Matt CullenAGE:42PO:25OV:67
*Tyler BensonAGE:21PO:64OV:63
Josh LeivoAGE:26PO:60OV:63
Remi ElieAGE:24PO:73OV:60
Alexandre FortinAGE:22PO:54OV:60
*Jakob StukelAGE:22PO:58OV:58
Hunter ShinkarukAGE:24PO:78OV:57
Mark ScheifeleAGE:26PO:83OV:78
Steven StamkosAGE:29PO:74OV:78
Nick SchmaltzAGE:23PO:81OV:70
Casey CizikasAGE:28PO:52OV:70
Mark JankowskiAGE:24PO:79OV:69
Mattias JanmarkAGE:26PO:55OV:68
Matt CullenAGE:42PO:25OV:67
*Drake BathersonAGE:21PO:58OV:66
Nate ThompsonAGE:34PO:25OV:66
*Robert ThomasAGE:20PO:84OV:64
*Martin NecasAGE:20PO:87OV:61
*German RubtsovAGE:21PO:82OV:61
*Michael McLeodAGE:21PO:85OV:60
*Ty DellandreaAGE:18PO:80OV:58
Steven StamkosAGE:29PO:74OV:78
Brock BoeserAGE:22PO:81OV:72
Nino NiederreiterAGE:26PO:78OV:71
Nikolaj EhlersAGE:23PO:85OV:70
Nick SchmaltzAGE:23PO:81OV:70
Mattias JanmarkAGE:26PO:55OV:68
*Drake BathersonAGE:21PO:58OV:66
*Robert ThomasAGE:20PO:84OV:64
Christian FischerAGE:22PO:77OV:64
Josh LeivoAGE:26PO:60OV:63
Klim KostinAGE:20PO:80OV:62
*Martin NecasAGE:20PO:87OV:61
*Sebastian RepoAGE:23PO:62OV:61
*Dmitry SokolovAGE:21PO:68OV:59
Gabriel GagneAGE:22PO:62OV:59
Sheldon RempalAGE:23PO:52OV:58

Défense #1Défense #2Gardien
Shea WeberAGE:33PO:39OV:77
Tyler MyersAGE:29PO:69OV:74
Erik KarlssonAGE:29PO:68OV:73
Nikita ZaitsevAGE:27PO:36OV:73
Roman PolakAGE:33PO:29OV:73
Travis DermottAGE:22PO:77OV:68
Dmitry KulikovAGE:28PO:68OV:67
Rasmus AnderssonAGE:22PO:74OV:66
Nathan BeaulieuAGE:26PO:71OV:65
Filip HronekAGE:21PO:72OV:64
Reece WillcoxAGE:25PO:60OV:63
*Libor HajekAGE:21PO:76OV:62
Dylan CoghlanAGE:21PO:57OV:62
Roland McKeownAGE:23PO:71OV:61
Niklas HanssonAGE:24PO:61OV:60
Andrei VasilevskiyAGE:24PO:80OV:90
Brian ElliottAGE:34PO:28OV:83
Connor IngramAGE:22PO:67OV:74
Tom McCollumAGE:29PO:43OV:73
Richard BachmanAGE:31PO:40OV:72
Ville HussoAGE:24PO:72OV:67

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Alex FormentonNew Jersey Devils1340
Alexander KhovanovNew Jersey Devils1443
Benton MaassNew Jersey Devils13140
Boyd GordonNew Jersey Devils
Brandon GormleyNew Jersey Devils
Brent RegnerNew Jersey Devils
Chad BillinsNew Jersey Devils
Cody GlassNew Jersey Devils1311
Derek MacKenzieNew Jersey Devils
Evan BarrattNew Jersey Devils1386
Filip HallanderNew Jersey Devils1442
Fredrik KarlstromNew Jersey Devils1256
Jachym KondelikNew Jersey Devils1463
Jacob Bernard-DockerNew Jersey Devils1441
Jacob CederholmNew Jersey Devils12137
Jacob MoverareNew Jersey Devils1289
Jakob StenqvistNew Jersey Devils12125
Joseph MasoniusNew Jersey Devils12167
Kyle BaunNew Jersey Devils
Lance BoumaNew Jersey Devils
Leland IrvingNew Jersey Devils
Martins DzierkalsNew Jersey Devils1172
Matt TomkinsNew Jersey Devils
Maxwell GildonNew Jersey Devils1355
Nick SorensenNew Jersey Devils
Noah CatesNew Jersey Devils13115
Quinn HughesNew Jersey Devils143
Ryan SheaNew Jersey Devils11156
Sam BrittainNew Jersey Devils
T.J. TynanNew Jersey Devils
Taylor DohertyNew Jersey Devils
Terrance AmorosaNew Jersey Devils9178
Veini VehvilainenNew Jersey Devils1470
Yan-Pavel LaplanteNew Jersey Devils

Choix au Repêchage

Année R1R2R3R4R5R6
15New Chi Flo New NYR Was Min New
16New Flo NYR New New Chi Buf
17New Min New New New New
18New New New New New New Tor
19New New New New New New



[2019-08-19 20:51:29] - TRADE : From New York Islanders to New Jersey Devils : Y:15-RND:5-Min.
[2019-08-18 09:06:54] - Sheldon Rempal was added to New Jersey Devils.
[2019-08-12 16:41:10] - Mark Scheifele is no longer as assistant for New Jersey Devils.
[2019-08-12 16:41:10] - Steven Stamkos is no longer captain for New Jersey Devils.
[2019-08-12 11:04:33] - TRADE : From New Jersey Devils to Chicago Blackhawks : Joel Armia (68).
[2019-08-12 11:04:33] - TRADE : From Chicago Blackhawks to New Jersey Devils : Mattias Janmark (68).
[2019-08-09 17:05:55] - TRADE : From New Jersey Devils to Boston Bruins : Jay Bouwmeester (72), Y:16-RND:4-New.
[2019-08-09 17:05:55] - TRADE : From Boston Bruins to New Jersey Devils : Roman Polak (72).
[2019-08-07 07:51:27] - Dylan Coghlan was added to New Jersey Devils.
[2019-08-07 07:44:14] - TRADE : From New York Rangers to New Jersey Devils : Brian Elliott (82).
[2019-08-07 07:44:14] - TRADE : From New Jersey Devils to New York Rangers : TJ Tynan (64), Chris Terry (63), Tye McGinn (60), Michael Paliotta (61), Luke Gazdic (60), Joseph Cramarossa (58), Wade Megan (60), Keegan Lowe (62).
[2019-08-03 09:22:52] - Devils hired Randy Carlyle for 3 000 000 $ for 4 year(s).
[2019-08-03 09:22:46] - Devils fired Mike Johnston.
[2019-08-02 11:36:01] - TRADE : From New Jersey Devils to Tampa Bay Lightning : Curtis McElhinney (82).
[2019-07-28 16:43:48] - TRADE : From Carolina Hurricanes to New Jersey Devils : Tom McCollum (73).
[2019-07-28 16:43:31] - TRADE : From Los Angeles Kings to New Jersey Devils : Richard Bachman (73).
[2019-07-21 11:42:26] - New Jersey Devils hired David Quinn for 1 000 000 $ for 5 year(s).
[2019-07-21 11:42:09] - New Jersey Devils fired Rocky Thompson.



[2020-01-27 21:00:46] Erik Karlsson from New Jersey Devils is back from Sprained Right Finger Injury.
[2020-01-27 21:00:46] Game 769 - Erik Karlsson from New Jersey Devils is injured (Sprained Right Finger) and is out for 1 days.
[2020-01-17 05:11:21] Successfully loaded New Jersey Devils lines done with STHS Client - 3.2.0.5
[2020-01-17 05:11:21] Rasmus Andersson of New Jersey Devils was sent down to farm.
[2020-01-16 05:16:12] New Jersey Devils are expected to be over the salary cap by 453 490 $!
[2020-01-16 05:13:19] Rasmus Andersson from New Jersey Devils is back from Right Foot Injury.
[2020-01-16 05:12:45] Auto Lines Partial Function has been run for New Jersey Devils.
[2020-01-16 05:12:45] Auto Roster Partial Function has been run for New Jersey Devils.
[2020-01-14 05:10:55] Casey Cizikas from New Jersey Devils is back from Strained Right Knee Injury.
[2020-01-14 05:10:54] Game 715 - Rasmus Andersson from New Jersey Devils is injured (Right Foot) and is out for 5 days.
[2020-01-14 05:10:54] Game 715 - Casey Cizikas from New Jersey Devils is injured (Strained Right Knee) and is out for 2 days.
[2020-01-13 05:11:49] New Jersey Devils are expected to be over the salary cap by 453 490 $!
[2020-01-13 05:09:57] Erik Karlsson from New Jersey Devils is back from Left Knee Injury.
[2020-01-13 05:09:27] Successfully loaded New Jersey Devils lines done with STHS Client - 3.2.0.5
[2020-01-12 10:58:47] Tyler Myers from New Jersey Devils completes suspension
[2020-01-12 10:58:47] Game 708 - Erik Karlsson from New Jersey Devils is injured (Left Knee) and is out for 4 days.
[2020-01-12 10:57:59] Successfully loaded New Jersey Devils lines done with STHS Client - 3.2.0.5
[2020-01-12 10:57:58] Rasmus Andersson of New Jersey Devils was sent to pro.
[2020-01-11 10:11:01] Game 696 - Tyler Myers from New Jersey Devils suspended for 1 game(s)
[2020-01-02 11:03:57] Brad Marchand from New Jersey Devils has scored a Hat Trick!
[2019-12-31 11:33:16] Last 7 Days Pro Star : 1 - Steven Stamkos of New Jersey Devils (7-2-9) / 2 - Evgeni Malkin of St. Louis Blues (3-8-11) / 3 - Tristan Jarry of Detroit Red Wings (0,937)
[2019-12-23 17:10:02] Successfully loaded New Jersey Devils lines done with STHS Client - 3.1.6.6
[2019-12-21 11:20:35] Successfully loaded New Jersey Devils lines done with STHS Client - 3.1.6.6
[2019-12-16 15:53:47] Successfully loaded New Jersey Devils lines done with STHS Client - 3.1.6.6



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
14492613050321571183923145010217552232612804011826616701572794360243545210149448047751538132740442111102024321.29%1772983.62%2927178551.93%834164550.70%34770749.08%12188511139357614308
Total Saison Régulière492613050321571183923145010217552232612804011826616701572794360243545210149448047751538132740442111102024321.29%1772983.62%2927178551.93%834164550.70%34770749.08%12188511139357614308