Connexion

Carolina Hurricanes
GP: 41 | W: 20 | L: 15 | OTL: 6 | P: 60
GF: 99 | GA: 96 | PP%: 19.88% | PK%: 87.90%
DG: Dwayne | Morale : 40 | Moyenne d’équipe : 75
Prochains matchs #499 vs Columbus Blue Jackets

Centre de jeu
New Jersey Devils
23-14-4, 66pts
4
FINAL
1 Carolina Hurricanes
20-15-6, 60pts
Team Stats
L1SéquenceW1
11-7-2Fiche domicile11-7-2
12-7-2Fiche visiteur9-8-4
6-3-1Derniers 10 matchs4-3-3
2.73Buts par match 2.41
2.27Buts contre par match 2.34
13.25%Pourcentage en avantage numérique19.88%
89.31%Pourcentage en désavantage numérique87.90%
Carolina Hurricanes
20-15-6, 60pts
2
FINAL
1 New Jersey Devils
23-14-4, 66pts
Team Stats
W1SéquenceL1
11-7-2Fiche domicile11-7-2
9-8-4Fiche visiteur12-7-2
4-3-3Derniers 10 matchs6-3-1
2.41Buts par match 2.73
2.34Buts contre par match 2.27
19.88%Pourcentage en avantage numérique13.25%
87.90%Pourcentage en désavantage numérique89.31%
Carolina Hurricanes
20-15-6, 60pts
Jour 97
Columbus Blue Jackets
26-13-2, 72pts
Statistiques d’équipe
W1SéquenceW3
11-7-2Fiche domicile16-4-1
9-8-4Fiche visiteur10-9-1
4-3-310 derniers matchs6-4-0
2.41Buts par match 2.73
2.34Buts contre par match 2.73
19.88%Pourcentage en avantage numérique16.90%
87.90%Pourcentage en désavantage numérique88.29%
Detroit Red Wings
19-18-4, 54pts
Jour 99
Carolina Hurricanes
20-15-6, 60pts
Statistiques d’équipe
W1SéquenceW1
11-10-0Fiche domicile11-7-2
8-8-4Fiche visiteur9-8-4
5-4-110 derniers matchs4-3-3
2.41Buts par match 2.41
2.78Buts contre par match 2.41
17.93%Pourcentage en avantage numérique19.88%
76.47%Pourcentage en désavantage numérique87.90%
Columbus Blue Jackets
26-13-2, 72pts
Jour 101
Carolina Hurricanes
20-15-6, 60pts
Statistiques d’équipe
W3SéquenceW1
16-4-1Fiche domicile11-7-2
10-9-1Fiche visiteur9-8-4
6-4-010 derniers matchs4-3-3
2.73Buts par match 2.41
2.24Buts contre par match 2.41
16.90%Pourcentage en avantage numérique19.88%
88.29%Pourcentage en désavantage numérique87.90%
Meneurs d'équipe
Janne KuokkanenButs
Janne Kuokkanen
12
J.T. CompherPasses
J.T. Compher
24
J.T. CompherPoints
J.T. Compher
33
Reilly SmithPlus/Moins
Reilly Smith
11
Thatcher DemkoVictoires
Thatcher Demko
15
Stuart SkinnerPourcentage d’arrêts
Stuart Skinner
0.947

Statistiques d’équipe
Buts pour
99
2.41 GFG
Tirs pour
1224
29.85 Avg
Pourcentage en avantage numérique
19.9%
32 GF
Début de zone offensive
39.6%
Buts contre
96
2.34 GAA
Tirs contre
1264
30.83 Avg
Pourcentage en désavantage numérique
87.9%%
19 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralDwayne
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomPNC Arena
Capacité18,000
Assistance14,582
Billets de saison7,020


Informations de la formation

Équipe Pro23
Équipe Mineure28
Limite contact 51 / 250
Espoirs30


Finance

Revenu annuel à ce jour22,063,579$
Dépenses annuelles à ce jour27,405,266$
Revenus de la saison estimés20,960,400$
Dépenses de la saison estimées24,988,130$
Compte bancaire actuel16,846,132$
Compte bancaire projeté13,224,400$


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
Âge
Contrat
Salaire
1Evander Kane0X100.009250828678949580747885717980750407803215,825,000$
2Alex Kerfoot0X100.007042789456929181758386678578640407702913,000,000$
3Janne Kuokkanen0X100.005947798678858676588384707772760407602633,250,000$
4Martin Necas0X100.0073438690718989777382817079717604076N02514,260,000$
5Nikolaj Ehlers0X100.006837799655909278648281708377720407602813,000,000$
6J.T. Compher0X100.006349838268848972848182707578760407402923,000,000$
7Jakob Silfverberg0X100.006545927677909072687377727270670407203321,600,000$
8Reilly Smith0X100.006840818063838174627872687481780407203321,700,000$
9Blake Coleman0X100.008551627567788069857070707080700407003221,700,000$
10Yakov Trenin0X100.008555747480767866797066726775740407002721,400,000$
11Carson McMillan0X100.00704476737282787469757461738570040700351500,000$
12Isaac Ratcliffe0X100.00765164779075836656706774697173040700251700,000$
13Ryan Pulock0X100.009351827890939477538177837178850408002913,000,000$
14Rasmus Dahlin0X100.008652809779919378549071777668740407902436,300,000$
15Brock Faber (R)0X100.00594588857596997850847075706576040760213700,000$
16Philippe Myers0X100.008252807498828571507766766675750407502722,700,000$
17Dakota Mermis44X100.007844817783828170507267756679740407303022,000,000$
18Matt Grzelcyk0X100.00653581915782827350766976707974040730303625,000$
Rayé
1Alex Newhook (R)0X76.785742838263839272777675677470730407202331,500,000$
2Torey Krug0X100.005443908963858771507865746981680407203322,000,000$
Équipe Mineure
1Saku Maenalanen0X100.00814971688273696868726968687973040690301500,000$
2Matt Martin0X100.00906255678275766769697059668578040680351500,000$
3Antti Suomela0X100.00624376776870746476676469687965040670301500,000$
4Brett Seney0X100.00713478934870736471686764727760040670281500,000$
5Derek Ryan0X100.00574074765676796482706559688875040660371500,000$
6Joona Luoto0X100.00714985658275836076586469627583040660263650,000$
7Peter Cehlarik0X100.00574977697578776456646567667768040660281500,000$
8Nic Petan0X100.00573779815472756164666568687868040660291500,000$
9Dakota Joshua0X100.00775670678268686373626471647773040660281500,000$
10Kiefer Sherwood0X100.00774675705674756070646468637868040650291500,000$
11Taro Hirose0X100.00523084845275756271656166677760040650282500,000$
12Ryan Reaves0XX100.00935765548569716057626169589387040650371800,000$
13Kurtis MacDermid0X100.00937761609978787050726567607979040710301569,000$
14Jake Bischoff0X100.00654570798476766750636474657870040700291500,000$
15Carl Dahlstrom0X100.00585477629974746850696167587873040680291500,000$
16Josh Teves0X100.00593950845169716550626175637862040670291500,000$
17Jack Ahcan0X100.00624588826072816350616266647074040670271500,000$
18Robin Salo0X100.00564577807666746653676767657366040670252600,000$
19T.J. Tynan0X100.00543078804968705957636170648067040640321629,000$
20Mikhail Maltsev0X100.00514478697062715568585973607563040620263500,000$
21Nikita Scherbak0X100.00581778755266616052586364656560040610281500,000$
22Rourke Chartier0X100.00571775734768676066586264646560040610281500,000$
23Jalen Chatfield0X100.00594469818173726650666467658479040690281500,000$
24Roland McKeown0X100.00574646796172726551706265617767040660281500,000$
25Jakub Galvas0X100.00513089825573826050565968608271040660254500,000$
MOYENNE D’ÉQUIPE99.4868457678707880686270686968777204070
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
Âge
Contrat
Salaire
1Thatcher Demko0100.00838081868486848384828377650408002813,250,000$
2Stuart Skinner0100.0077727786828182848481837162040770251700,000$
Rayé
1Sam Montembeault0100.0080757884808081818180797764040770272500,000$
Équipe Mineure
1Zach Fucale0100.0084707382777778787877777863040750291500,000$
2Edward Pasquale0100.0065565682697071716670705959040660331500,000$
3PARKER GAHAGEN0100.0068605071676768686867656654040640311500,000$
MOYENNE D’ÉQUIPE100.007669698277777778777676716104073
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’équipe
POS
GP
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
1J.T. CompherCarolina HurricanesC4192433-419540839224619.78%3386021.0061319171310005872046.43%10081326000.7711001203
2Evander KaneCarolina HurricanesLW3492029-7435846112334697.32%1774421.884913161120002651042.98%1212214000.7807000130
3Janne KuokkanenCarolina HurricanesRW41121527-62154450104297411.54%1976018.544913111150002571135.56%452615000.7117010203
4Nikolaj EhlersCarolina HurricanesLW4191423-4300644911925777.56%1474218.11426111070000581052.83%533518100.6227000303
5Alex KerfootCarolina HurricanesRW2611920-112810473895275811.58%650919.5963911680002312060.87%46235000.7900011222
6Reilly SmithCarolina HurricanesRW4181119116035268831489.09%645111.02000116000003069.23%13187000.8400000213
7Rasmus DahlinCarolina HurricanesD3841519-13671597699533504.21%3895325.09268181250001108010%02328000.4000120020
8Alex NewhookCarolina HurricanesC4051015-44036605322339.43%1558514.65011172000041041.47%434158000.5100000010
9Jakob SilfverbergCarolina HurricanesRW416713500324946233613.04%1470317.151234670001711040.98%61712000.3700000103
10Ryan PulockCarolina HurricanesD415712-42410117826424317.81%60107726.28347111360003131000%01742000.2200020110
11Brock FaberCarolina HurricanesD415510-35519765921238.47%3989121.7510121040003102110%01522000.2200001001
12Yakov TreninCarolina HurricanesC395495455664835123014.29%1643111.0710115000091148.07%23358100.4200100010
13Blake ColemanCarolina HurricanesC41268-12405345378135.41%83899.51000050001650049.21%189611000.4100000111
14Philippe MyersCarolina HurricanesD41178130086563414142.94%5687421.3312331000000114000%0821000.1800000001
15Isaac RatcliffeCarolina HurricanesLW262463301025183813235.26%729211.24000010000211136.36%1196000.4100020000
16Martin NecasCarolina HurricanesC11145-40015213510212.86%622220.240334300001260049.64%27867000.4500000011
17Matt GrzelcykCarolina HurricanesD40134-180174632983.13%3055113.7900007000061100%0918000.1500000001
18Carson McMillanCarolina HurricanesRW40123-114036222714253.70%83438.60000000000220044.44%2754000.1700000000
19Dakota MermisCarolina HurricanesD41022-11754336201020%3553413.0300009000014000%0626000.0700100000
20Torey KrugCarolina HurricanesD26112-12951117188125.56%72238.600000800009100%158000.1800100000
21Brett SeneyGreenville Swamp Rabbits (CAR)LW22101-6801414213204.76%31727.86000030001140133.33%2163000.1200000000
22Rourke ChartierGreenville Swamp Rabbits (CAR)C1000000100000%077.520000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne75398170268-464528098296612353947287.94%4371232516.37335487111123100022108017646.12%2541279309200.43422483151322
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Thatcher DemkoCarolina Hurricanes33151440.9232.32201501781018496210.80015338442
2Stuart SkinnerCarolina Hurricanes85120.9471.594920013245132000.5004833231
Statistiques d’équipe totales ou en moyenne41201560.9282.1825080191126362821194141673


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’équipe
POS
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 restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire année 2
Salaire année 3
Salaire année 4
Salaire année 5
Salaire année 6
Salaire année 7
Salaire année 8
Salaire année 9
Salaire année 10
Plafond salarial année 2
Plafond salarial année 3
Plafond salarial année 4
Plafond salarial année 5
Plafond salarial année 6
Plafond salarial année 7
Plafond salarial année 8
Plafond salarial année 9
Plafond salarial année 10
Non-échange année 2
Non-échange année 3
Non-échange année 4
Non-échange année 5
Non-échange année 6
Non-échange année 7
Non-échange année 8
Non-échange année 9
Non-échange année 10
Lien
Alex Kerfoot (contrat à 1 volet)Carolina HurricanesRW291994-08-11CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$1,408,840$0$0$No---------------------------Lien / Lien NHL
Alex Newhook (sur la masse salariale)Carolina HurricanesC232001-01-28CANYes190 Lbs5 ft10NoNoFree AgentNoNo32024-08-24FalseFalsePro & Farm1,500,000$704,420$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien / Lien NHL
Blake ColemanCarolina HurricanesC321991-11-28USANo207 Lbs5 ft11NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm1,700,000$798,343$0$0$No1,700,000$--------1,700,000$--------No--------Lien / Lien NHL
Brock FaberCarolina HurricanesD212002-08-22USAYes201 Lbs6 ft1NoNoFree AgentNoNo32024-08-24FalseFalsePro & Farm700,000$328,729$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien / Lien NHL
Carson McMillan (contrat à 1 volet)Carolina HurricanesRW351988-09-10CANNo196 Lbs6 ft1NoNoFree AgentNoNo12024-10-15FalseFalsePro & Farm500,000$234,807$0$0$No---------------------------Lien NHL
Dakota MermisCarolina HurricanesD301994-01-05USANo194 Lbs6 ft0NoNoFree AgentNoNo22024-09-27FalseFalsePro & Farm2,000,000$939,227$0$0$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Evander Kane (contrat à 1 volet)Carolina HurricanesLW321991-08-02CANNo209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm5,825,000$2,735,497$0$0$No---------------------------Lien / Lien NHL
Isaac RatcliffeCarolina HurricanesLW251999-02-15CANNo200 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$328,729$0$0$No---------------------------Lien NHL
J.T. Compher (contrat à 1 volet)Carolina HurricanesC291995-04-08USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm3,000,000$1,408,840$0$0$No3,000,000$--------3,000,000$--------No--------Lien / Lien NHL
Jakob SilfverbergCarolina HurricanesRW331990-10-13SWENo207 Lbs6 ft1NoNoTrade2024-12-19NoNo22024-09-23FalseFalsePro & Farm1,600,000$751,381$0$0$No1,600,000$--------1,600,000$--------No--------Lien / Lien NHL
Janne Kuokkanen (contrat à 1 volet)Carolina HurricanesRW261998-05-25FINNo193 Lbs6 ft1NoNoFree AgentNoNo32024-10-04FalseFalsePro & Farm3,250,000$1,526,243$0$0$No3,250,000$3,250,000$-------3,250,000$3,250,000$-------NoNo-------Lien / Lien NHL
Martin Necas (contrat à 1 volet)Carolina HurricanesC251999-01-15CZENo198 Lbs6 ft2YesNoFree AgentNoNo12024-09-27FalseFalsePro Only4,260,000$2,000,552$0$0$No---------------------------Lien / Lien NHL
Matt GrzelcykCarolina HurricanesD301994-01-05USANo174 Lbs5 ft11NoNoTrade2024-12-19NoNo3FalseFalsePro & Farm625,000$293,508$0$0$No625,000$625,000$-------625,000$625,000$-------NoNo-------Lien / Lien NHL
Nikolaj Ehlers (contrat à 1 volet)Carolina HurricanesLW281996-02-14DNKNo172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$1,408,840$0$0$No---------------------------Lien / Lien NHL
Philippe Myers (contrat à 1 volet)Carolina HurricanesD271997-01-25CANNo219 Lbs6 ft6NoNoTrade2024-05-24NoNo2FalseFalsePro & Farm2,700,000$1,267,956$0$0$No2,700,000$--------2,700,000$--------No--------Lien / Lien NHL
Rasmus Dahlin (contrat à 1 volet)Carolina HurricanesD242000-04-13SWENo203 Lbs6 ft3NoNoFree AgentNoNo32024-08-25FalseFalsePro & Farm6,300,000$2,958,564$0$0$No6,300,000$6,300,000$-------6,300,000$6,300,000$-------NoNo-------Lien / Lien NHL
Reilly SmithCarolina HurricanesRW331991-04-01CANNo185 Lbs6 ft0NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm1,700,000$798,343$0$0$No1,700,000$--------1,700,000$--------No--------Lien / Lien NHL
Ryan Pulock (contrat à 1 volet)Carolina HurricanesD291994-10-06CANNo216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$1,408,840$0$0$No---------------------------Lien / Lien NHL
Sam MontembeaultCarolina HurricanesG271996-10-30CANNo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$234,807$0$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Stuart SkinnerCarolina HurricanesG251998-11-01CANNo205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$328,729$0$0$No---------------------------Lien / Lien NHL
Thatcher Demko (contrat à 1 volet)Carolina HurricanesG281995-12-08USANo192 Lbs6 ft4NoNoFree AgentNoNo12024-10-04FalseFalsePro & Farm3,250,000$1,526,243$0$0$No---------------------------Lien / Lien NHL
Torey KrugCarolina HurricanesD331991-04-12USANo185 Lbs5 ft9NoNoFree Agent2024-06-20NoNo22024-09-27FalseFalsePro & Farm2,000,000$939,227$0$0$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Yakov TreninCarolina HurricanesC271997-01-13RUSNo201 Lbs6 ft2NoNoTrade2025-02-14NoNo2FalseFalsePro & Farm1,400,000$657,459$0$0$No1,400,000$--------1,400,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.30197 Lbs6 ft11.832,313,478$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
53,210,000$28,975,000$12,375,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evander KaneMartin NecasAlex Kerfoot38014
2Nikolaj EhlersJ.T. CompherJanne Kuokkanen32023
3Isaac RatcliffeYakov TreninJakob Silfverberg21032
4Reilly SmithBlake ColemanCarson McMillan9131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus DahlinRyan Pulock38041
2Brock FaberPhilippe Myers34041
3Dakota MermisMatt Grzelcyk20041
4Rasmus DahlinRyan Pulock8023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evander KaneMartin NecasAlex Kerfoot55005
2Nikolaj EhlersJ.T. CompherJanne Kuokkanen45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan PulockRasmus Dahlin56005
2Brock FaberPhilippe Myers44005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Yakov TreninJakob Silfverberg50050
2Isaac RatcliffeEvander Kane50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan PulockPhilippe Myers50050
2Rasmus DahlinMatt Grzelcyk50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Yakov Trenin50050Ryan PulockPhilippe Myers50050
2Isaac Ratcliffe50050Rasmus DahlinMatt Grzelcyk50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Martin NecasJakob Silfverberg55122
2J.T. CompherEvander Kane45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan PulockRasmus Dahlin60122
2Brock FaberPhilippe Myers40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evander KaneMartin NecasJakob SilfverbergRyan PulockRasmus Dahlin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evander KaneMartin NecasJakob SilfverbergRyan PulockRasmus Dahlin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakob Silfverberg, Yakov Trenin, Carson McMillanJakob Silfverberg, Yakov TreninCarson McMillan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dakota Mermis, Matt Grzelcyk, Ryan PulockDakota MermisMatt Grzelcyk, Dakota Mermis
Tirs de pénalité
Evander Kane, Janne Kuokkanen, Nikolaj Ehlers, J.T. Compher, Martin Necas
Gardien
#1 : Stuart Skinner, #2 : Thatcher Demko
Lignes d’attaque personnalisées en prolongation
Evander Kane, Jakob Silfverberg, Nikolaj Ehlers, J.T. Compher, Martin Necas, Reilly Smith, Isaac Ratcliffe, Yakov Trenin, Carson McMillan, Blake Coleman
Lignes de défense personnalisées en prolongation
Ryan Pulock, Rasmus Dahlin, Brock Faber, Philippe Myers, Dakota Mermis


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
Total
Domicile
Visiteur
#
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 Bruins20200000710-31010000034-11010000046-200.000713200013305717162406620235214214.29%9455.56%044095745.98%43693546.63%24852347.42%422544173317
2California Golden Seals1010000023-11010000023-10000000000000.0002350011002513570381115185120.00%50100.00%044095745.98%43693546.63%24852347.42%1910229188
3Chicago Blackhawks22000000523110000002111100000031261.000581300203055198280631410466233.33%5180.00%044095745.98%43693546.63%24852347.42%412446173215
4Colorado Avalanche2020000027-51010000014-31010000013-200.000235001100501619150722937507228.57%11281.82%044095745.98%43693546.63%24852347.42%361850193215
5Detroit Red Wings1010000001-1000000000001010000001-100.0000000000001777303081421300.00%70100.00%044095745.98%43693546.63%24852347.42%199239178
6Edmonton Oilers1010000024-2000000000001010000024-200.000246000110289109032921246116.67%8275.00%044095745.98%43693546.63%24852347.42%1992310178
7Florida Panthers2110000023-11010000013-21100000010130.500235010110621627190632912484125.00%6183.33%044095745.98%43693546.63%24852347.42%392346173315
8Hamilton Mustangs20000011550100000103211000000123-130.5005813000221581129168673714423133.33%7185.71%044095745.98%43693546.63%24852347.42%412349213818
9Los Angeles Kings10000010431000000000001000001043120.66745900201124895639810195120.00%50100.00%044095745.98%43693546.63%24852347.42%22112310199
10Minnesota North Stars20001001330100010002111000000112-130.500369001011672223187601716638112.50%8187.50%044095745.98%43693546.63%24852347.42%472641203818
11Montreal Canadiens1010000012-11010000012-10000000000000.0001230010002910109030815257114.29%50100.00%044095745.98%43693546.63%24852347.42%2212219168
12New Jersey Devils42100100910-12010010048-42200000052370.5839142300315011027354351173031991516.67%13192.31%044095745.98%43693546.63%24852347.42%834689387036
13New York Islanders421000101183220000006242010001056-180.667111930101272118234746511240288611218.18%14378.57%044095745.98%43693546.63%24852347.42%865088356934
14New York Rangers421000011293220000009362010000136-370.583122032004710119355726411746788619736.84%14192.86%044095745.98%43693546.63%24852347.42%854992376732
15Philadelphia Flyers11000000321110000003210000000000031.00036900120030813902561025300.00%5180.00%044095745.98%43693546.63%24852347.42%2213219167
16Pittsburgh Penguins1010000013-2000000000001010000013-200.0001120010003117950289428400.00%20100.00%044095745.98%43693546.63%24852347.42%2112229168
17Quebec Nordiques10001000321000000000001000100032120.66736900101133810141311218175240.00%40100.00%044095745.98%43693546.63%24852347.42%2415209179
18Seattle Kraken2010010035-21000010023-11010000012-110.167369000120651725203652216453133.33%80100.00%044095745.98%43693546.63%24852347.42%422544203616
19St Louis Blues211000008531010000034-11100000051430.500816240022407323311906120144315213.33%70100.00%044095745.98%43693546.63%24852347.42%452540173418
20Tampa Bay Lightning420010011486210010007432100000174390.7501422360062511414835547123523910715426.67%12191.67%044095745.98%43693546.63%24852347.42%885189377135
21Vegas Golden Knights11000000211110000002110000000000031.000246000110322171302581720300.00%20100.00%044095745.98%43693546.63%24852347.42%2011229178
Total4114150323499963208702210514742168010244849-1600.4889916926811282738712243564424024612644354429641613219.88%1571987.90%044095745.98%43693546.63%24852347.42%874497922389714350
_Since Last GM Reset4114150323499963208702210514742168010244849-1600.4889916926811282738712243564424024612644354429641613219.88%1571987.90%044095745.98%43693546.63%24852347.42%874497922389714350
_Vs Conference2410802112635761264011003428612440101229290390.5426310616911191823473020925924922712252258573972020.62%841285.71%044095745.98%43693546.63%24852347.42%517300534222412204
_Vs Division18940111248381095201100272079420001221183340.630487812611141319355014920118821532197188426641523.44%59788.14%044095745.98%43693546.63%24852347.42%384221405166312154

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4160W1991692681224126443544296411
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
41141532349996
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
208722105147
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
216810244849
Derniers 10 matchs
WLOTWOTL SOWSOL
430102
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1613219.88%1571987.90%0
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
356442402462827387
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
44095745.98%43693546.63%24852347.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
874497922389714350


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
212Carolina Hurricanes1Colorado Avalanche3LSommaire du match
420Vegas Golden Knights1Carolina Hurricanes2WSommaire du match
636Carolina Hurricanes0Detroit Red Wings1LSommaire du match
737Minnesota North Stars1Carolina Hurricanes2WXSommaire du match
1052Carolina Hurricanes3Quebec Nordiques2WXSommaire du match
1266Boston Bruins4Carolina Hurricanes3LSommaire du match
1578Philadelphia Flyers2Carolina Hurricanes3WSommaire du match
1788Carolina Hurricanes1Pittsburgh Penguins3LSommaire du match
20108New York Islanders1Carolina Hurricanes3WSommaire du match
22120Carolina Hurricanes1New York Rangers3LSommaire du match
24131Carolina Hurricanes1Florida Panthers0WSommaire du match
26142Tampa Bay Lightning2Carolina Hurricanes4WSommaire du match
28155New Jersey Devils4Carolina Hurricanes3LXSommaire du match
30165Carolina Hurricanes1New York Islanders3LSommaire du match
32177New York Rangers1Carolina Hurricanes5WSommaire du match
34188Florida Panthers3Carolina Hurricanes1LSommaire du match
36204Carolina Hurricanes4Boston Bruins6LSommaire du match
38215Montreal Canadiens2Carolina Hurricanes1LSommaire du match
40226Colorado Avalanche4Carolina Hurricanes1LSommaire du match
41234Hamilton Mustangs2Carolina Hurricanes3WXXSommaire du match
45245Carolina Hurricanes5St Louis Blues1WSommaire du match
47254Carolina Hurricanes2Edmonton Oilers4LSommaire du match
51270California Golden Seals3Carolina Hurricanes2LSommaire du match
53279Carolina Hurricanes4Los Angeles Kings3WXXSommaire du match
57292Carolina Hurricanes6Tampa Bay Lightning2WSommaire du match
60308Carolina Hurricanes3New Jersey Devils1WSommaire du match
61315New York Islanders1Carolina Hurricanes3WSommaire du match
65331Tampa Bay Lightning2Carolina Hurricanes3WXSommaire du match
67345New York Rangers2Carolina Hurricanes4WSommaire du match
69360Carolina Hurricanes2New York Rangers3LXXSommaire du match
70364Carolina Hurricanes1Tampa Bay Lightning2LXXSommaire du match
73381Carolina Hurricanes4New York Islanders3WXXSommaire du match
74387Chicago Blackhawks1Carolina Hurricanes2WSommaire du match
76402Carolina Hurricanes1Minnesota North Stars2LXXSommaire du match
79413St Louis Blues4Carolina Hurricanes3LSommaire du match
81422Carolina Hurricanes3Chicago Blackhawks1WSommaire du match
83434Carolina Hurricanes2Hamilton Mustangs3LXXSommaire du match
86451Seattle Kraken3Carolina Hurricanes2LXSommaire du match
87460Carolina Hurricanes1Seattle Kraken2LSommaire du match
89470New Jersey Devils4Carolina Hurricanes1LSommaire du match
92482Carolina Hurricanes2New Jersey Devils1WSommaire du match
97499Carolina Hurricanes-Columbus Blue Jackets-
99513Detroit Red Wings-Carolina Hurricanes-
101527Columbus Blue Jackets-Carolina Hurricanes-
104536Los Angeles Kings-Carolina Hurricanes-
106549Edmonton Oilers-Carolina Hurricanes-
109564Carolina Hurricanes-California Golden Seals-
112575Carolina Hurricanes-Philadelphia Flyers-
113578Quebec Nordiques-Carolina Hurricanes-
115590Toronto Maple Leafs-Carolina Hurricanes-
118601Pittsburgh Penguins-Carolina Hurricanes-
120618Carolina Hurricanes-Montreal Canadiens-
124630Carolina Hurricanes-Toronto Maple Leafs-
127648Carolina Hurricanes-Vegas Golden Knights-
128654New York Rangers-Carolina Hurricanes-
130666Carolina Hurricanes-New York Rangers-
132677Carolina Hurricanes-Florida Panthers-
134686Florida Panthers-Carolina Hurricanes-
137702Boston Bruins-Carolina Hurricanes-
140713Carolina Hurricanes-Montreal Canadiens-
142724Toronto Maple Leafs-Carolina Hurricanes-
144735Carolina Hurricanes-Philadelphia Flyers-
146746Quebec Nordiques-Carolina Hurricanes-
148757Carolina Hurricanes-Pittsburgh Penguins-
152780Pittsburgh Penguins-Carolina Hurricanes-
154791Carolina Hurricanes-Quebec Nordiques-
156802Philadelphia Flyers-Carolina Hurricanes-
158813Carolina Hurricanes-Toronto Maple Leafs-
160824Montreal Canadiens-Carolina Hurricanes-
163835Carolina Hurricanes-Boston Bruins-
165846New York Islanders-Carolina Hurricanes-
166852Carolina Hurricanes-New York Islanders-
169865Tampa Bay Lightning-Carolina Hurricanes-
170871Carolina Hurricanes-Tampa Bay Lightning-
173890Carolina Hurricanes-New Jersey Devils-
174899New Jersey Devils-Carolina Hurricanes-
179914Carolina Hurricanes-Florida Panthers-
180926Florida Panthers-Carolina Hurricanes-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets93523225188
Assistance101,18976,31231,52661,60621,007
Attendance PCT85.18%78.51%79.61%77.79%83.36%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
19 14582 - 81.01% 1,103,179$22,063,579$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
27,405,266$ 53,210,000$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 27,405,266$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
20,960,400$ 85 293,978$ 24,988,130$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
25,821,640$ 16,846,132$ 13,224,400$



Charte de profondeur

Ailier gaucheCentreAilier droit
Evander KaneAGE:32PO:0OV:78
Nikolaj EhlersAGE:28PO:0OV:76
Isaac RatcliffeAGE:25PO:0OV:70
Brett SeneyAGE:28PO:0OV:67
Derek RyanAGE:37PO:0OV:66
Joona LuotoAGE:26PO:0OV:66
Ryan ReavesAGE:37PO:0OV:65
Mikhail MaltsevAGE:26PO:0OV:62
Martin NecasAGE:25PO:0OV:76
J.T. CompherAGE:29PO:0OV:74
Alex Newhook (R)AGE:23PO:0OV:72
Blake ColemanAGE:32PO:0OV:70
Yakov TreninAGE:27PO:0OV:70
Antti SuomelaAGE:30PO:0OV:67
Nic PetanAGE:29PO:0OV:66
Dakota JoshuaAGE:28PO:0OV:66
Taro HiroseAGE:28PO:0OV:65
Rourke ChartierAGE:28PO:0OV:61
Alex KerfootAGE:29PO:0OV:77
Janne KuokkanenAGE:26PO:0OV:76
Jakob SilfverbergAGE:33PO:0OV:72
Reilly SmithAGE:33PO:0OV:72
Carson McMillanAGE:35PO:0OV:70
Saku MaenalanenAGE:30PO:0OV:69
Matt MartinAGE:35PO:0OV:68
Peter CehlarikAGE:28PO:0OV:66
Kiefer SherwoodAGE:29PO:0OV:65
Ryan ReavesAGE:37PO:0OV:65
T.J. TynanAGE:32PO:0OV:64
Nikita ScherbakAGE:28PO:0OV:61

Défense #1Défense #2Gardien
Ryan PulockAGE:29PO:0OV:80
Rasmus DahlinAGE:24PO:0OV:79
Brock Faber (R)AGE:21PO:0OV:76
Philippe MyersAGE:27PO:0OV:75
Dakota MermisAGE:30PO:0OV:73
Matt GrzelcykAGE:30PO:0OV:73
Torey KrugAGE:33PO:0OV:72
Kurtis MacDermidAGE:30PO:0OV:71
Jake BischoffAGE:29PO:0OV:70
Jalen ChatfieldAGE:28PO:0OV:69
Carl DahlstromAGE:29PO:0OV:68
Josh TevesAGE:29PO:0OV:67
Jack AhcanAGE:27PO:0OV:67
Robin SaloAGE:25PO:0OV:67
Roland McKeownAGE:28PO:0OV:66
Jakub GalvasAGE:25PO:0OV:66
Thatcher DemkoAGE:28PO:0OV:80
Sam MontembeaultAGE:27PO:0OV:77
Stuart SkinnerAGE:25PO:0OV:77
Zach FucaleAGE:29PO:0OV:75
Edward PasqualeAGE:33PO:0OV:66
PARKER GAHAGENAGE:31PO:0OV:64

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Espoir
Nom de l’équipe
Année de repêchage
Choix total
Information
Date de la Dernière Transaction
Lien
0x LTCsCarolina Hurricanes00
0x RFA Tag (Rasmus Dahlin Y27)Carolina Hurricanes00
12x TC PTSCarolina Hurricanes00
20x POS Changes NSHL24Carolina Hurricanes00
Alex TurcotteCarolina Hurricanes194
Artyom LevshunovCarolina Hurricanes246Lien
Cruz LuciusCarolina Hurricanes22168Lien
Dalibor DvorskyCarolina Hurricanes2311Lien
Drew CommessoCarolina Hurricanes20105Lien
Drew HellesonCarolina Hurricanes1973Lien
Dylan HollowayCarolina Hurricanes2019
Gleb TrikozovCarolina Hurricanes2254Lien
Ilya KonovalovCarolina Hurricanes19136
Jackson BlakeCarolina Hurricanes211422025-03-19Lien
Joakim KemellCarolina Hurricanes2215Lien
Kaedan KorczakCarolina Hurricanes1980
Karl HenrikssonCarolina Hurricanes19106
Mason LohreiCarolina Hurricanes20116
Noel GunlerCarolina Hurricanes2039
Owen PickeringCarolina Hurricanes2224Lien
Philip BrobergCarolina Hurricanes1913
Reid SchaeferCarolina Hurricanes2229Lien
Ryan O'RourkeCarolina Hurricanes2062
Ryan SuzukiCarolina Hurricanes1918
Samuel FagemoCarolina Hurricanes1981
Tij IginlaCarolina Hurricanes247Lien
Ty SmithCarolina Hurricanes1833
Vladislav KolyachonokCarolina Hurricanes19107
William WallinderCarolina Hurricanes2044
Zachary L'HeureuxCarolina Hurricanes2131Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
25
26
27
28
29
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.




Carolina Hurricanes Historique de transactions

[2025-04-16 9:35:41 AM] TRADE : From Seattle Kraken to Carolina Hurricanes : $72,538 (Money).
[2025-04-10 4:30:20 PM] TRADE : From Chicago Blackhawks to Carolina Hurricanes : $1,263,341 (Money).
[2025-03-24 2:34:56 PM] TRADE : From Minnesota North Stars to Carolina Hurricanes : $73,097 (Money).
[2025-03-19 11:37:21 AM] TRADE : From Carolina Hurricanes to Boston Bruins : Y:25-RND:1-CAR, Y:25-RND:4-CAR, Y:25-RND:5-CAR.
[2025-03-19 11:37:21 AM] TRADE : From Boston Bruins to Carolina Hurricanes : Jackson Blake (P).
[2025-03-06 11:38:23 AM] TRADE : From Tampa Bay Lightning to Carolina Hurricanes : $68,790 (Money).
[2025-02-18 4:53:17 PM] New Record for Team's Most Shots Blocked (21) in 1 Game for Carolina Hurricanes!



Alex Newhook est dehors pour 3 semaines à cause de Bruised Right Shoulder Injury.



Carolina Hurricanes 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

Carolina Hurricanes 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

Carolina Hurricanes 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

Carolina Hurricanes 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

Carolina Hurricanes 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