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Carolina Hurricanes
GP: 33 | W: 20 | L: 11 | OTL: 2 | P: 53
GF: 87 | GA: 82 | PP%: 14.18% | PK%: 83.50%
DG: Dwayne | Morale : 40 | Moyenne d’équipe : 74
Prochains matchs #469 vs Hamilton Mustangs

Centre de jeu
Vegas Golden Knights
11-18-4, 34pts
3
4 Carolina Hurricanes
20-11-2, 53pts
Team Stats
L1SéquenceW2
6-8-2Fiche domicile10-4-2
5-10-2Fiche visiteur10-7-0
6-2-2Derniers 10 matchs5-4-1
2.48Buts par match 2.64
2.94Buts contre par match 2.48
21.19%Pourcentage en avantage numérique14.18%
79.55%Pourcentage en désavantage numérique83.50%
Carolina Hurricanes
20-11-2, 53pts
4
1 San Jose Sharks
10-20-3, 31pts
Team Stats
W2SéquenceL4
10-4-2Fiche domicile6-7-2
10-7-0Fiche visiteur4-13-1
5-4-1Derniers 10 matchs4-6-0
2.64Buts par match 1.97
2.48Buts contre par match 3.21
14.18%Pourcentage en avantage numérique22.00%
83.50%Pourcentage en désavantage numérique78.41%
Hamilton Mustangs
19-12-2, 54pts
Jour 84
Carolina Hurricanes
20-11-2, 53pts
Statistiques d’équipe
L1SéquenceW2
12-3-1Fiche domicile10-4-2
7-9-1Fiche visiteur10-7-0
4-6-010 derniers matchs5-4-1
2.64Buts par match 2.64
2.45Buts contre par match 2.64
14.55%Pourcentage en avantage numérique14.18%
79.41%Pourcentage en désavantage numérique83.50%
Carolina Hurricanes
20-11-2, 53pts
Jour 86
Toronto Maple Leafs
19-12-3, 54pts
Statistiques d’équipe
W2SéquenceW7
10-4-2Fiche domicile11-3-2
10-7-0Fiche visiteur8-9-1
5-4-110 derniers matchs8-1-1
2.64Buts par match 2.74
2.48Buts contre par match 2.74
14.18%Pourcentage en avantage numérique21.31%
83.50%Pourcentage en désavantage numérique83.96%
Montreal Canadiens
13-19-2, 38pts
Jour 88
Carolina Hurricanes
20-11-2, 53pts
Statistiques d’équipe
L4SéquenceW2
7-10-1Fiche domicile10-4-2
6-9-1Fiche visiteur10-7-0
2-7-110 derniers matchs5-4-1
2.71Buts par match 2.64
3.09Buts contre par match 2.64
16.92%Pourcentage en avantage numérique14.18%
75.21%Pourcentage en désavantage numérique83.50%
Meneurs d'équipe
Buts
Ryan Johansen
16
Passes
Travis Konecny
19
Points
Nikolaj Ehlers
26
Plus/Moins
Scott Laughton
9
Victoires
Stuart Skinner
11
Pourcentage d’arrêts
Stuart Skinner
0.935

Statistiques d’équipe
Buts pour
87
2.64 GFG
Tirs pour
1061
32.15 Avg
Pourcentage en avantage numérique
14.2%
19 GF
Début de zone offensive
39.9%
Buts contre
82
2.48 GAA
Tirs contre
1024
31.03 Avg
Pourcentage en désavantage numérique
83.5%%
17 GA
Début de la zone défensive
37.9%
Informations de l'équipe

Directeur généralDwayne
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineRyan Johansen
Assistant #1Nikolaj Ehlers
Assistant #2Rasmus Dahlin


Informations de l’aréna

NomPNC Arena
Capacité18,000
Assistance14,563
Billets de saison7,020


Informations de la formation

Équipe Pro23
Équipe Mineure26
Limite contact 49 / 250
Espoirs24


Finance

Revenu annuel à ce jour16,875,515$
Dépenses annuelles à ce jour25,150,878$
Revenus de la saison estimés25,313,272$
Dépenses de la saison estimées33,059,355$
Compte bancaire actuel72,498,657$
Compte bancaire projeté65,337,401$


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
1Martin Necas0X100.0073438890739191797582817079737855407702647,310,000$
2Travis Konecny0X100.0084408398539090767183807383776755407702813,000,000$
3Janne Kuokkanen0X100.0061477986788786766083847077747655407602723,250,000$
4Nikolaj Ehlers (A)0X100.0070377996559092786682817083787255407602944,000,000$
5Ryan Johansen (C)0X100.0079527981778787789078847078807555407603213,600,000$
6Dylan Holloway (R)0X100.0090458780778686767079817177687855407502331,250,000$
7Alex Newhook0X100.0057428382638392727778786974707355407302421,500,000$
8Evgeni Malkin0X100.0057427373708081789077756172887755407103824,500,000$
9Scott Laughton0X100.0083477480738080688672696871807255407103123,000,000$
10Jakob Silfverberg0X100.0062458973778787696570747269706755407003411,600,000$
11Ryan Dzingel0X100.0068517678688078706172706872816655407003322,000,000$
12Blake Coleman0X100.0083516173687880678470687068816855406903311,700,000$
13Rasmus Dahlin (A)0X100.0089528097829496785490758076717455408102526,300,000$
14Brock Faber0X100.005949918579969978508470807065795540770222700,000$
15Philippe Myers0X100.0084528074998487715077667866777755407602812,700,000$
16Dakota Mermis0X100.0076457975848079685070657664807255407203112,000,000$
17Drew Helleson (R)0X100.007447728178767665507066766470705540710243800,000$
18Vladislav Kolyachonok (R)0X100.005342797980686863506964616270705540660243700,000$
Rayé
1Yakov Trenin0X100.0085557474807678667970667267777455407002811,400,000$
2Philip Broberg (R)0X95.9256429081808585615075698063708055407302431,500,000$
Équipe Mineure
1Brett Seney0X100.007135789450717465716968667378615540680292500,000$
2Alex Turcotte (R)0X100.0057407881617777627168656768707055406702431,750,000$
3Dakota Joshua0X100.007658696882707065756466706678725540670292500,000$
4Joona Luoto0X100.007351846484778362756065686476825540670272650,000$
5Nic Petan0X100.005939818356747763666867677079705540670303500,000$
6Peter Cehlarik0X100.005950766877797663586366666578705540660292500,000$
7Taro Hirose0X100.005432838351757561736563666678625540650291500,000$
8Brett Murray0X100.005760596395748260506261686168675540640264500,000$
9Josh Dunne0X100.007947696680687660695659706173695540640264500,000$
10Lias Andersson0X100.005940727666707860666060686468615540640264500,000$
11Samuel Fagemo0X100.005445796965667460505661676273635540620253800,000$
12Kaedan Korczak (R)0X100.005945887682727265507760786070805540710243800,000$
13Jalen Chatfield0X100.006146688180757468506864696683785540700292500,000$
14Torey Krug0X99.0051438786638284685075627166816855407003412,000,000$
15Jack Ahcan0X100.006147878362748065506364686672765540680284600,000$
16Robin Salo0X100.005747798078687668526966696575685540680261600,000$
17Roland McKeown0X100.005746467961727265517062656177675540660292500,000$
18Ty Smith0X100.0050407482656767625062627262737355406602531,000,000$
19RYAN LASCH0X86.595029728348606076657765677391945240690381250,000$
20Mikhail Maltsev0X100.005144786970627155685859736075635540620272500,000$
21Nikita Scherbak0X100.005719797654656060546062666567615540620292500,000$
22Rourke Chartier0X100.005717757347686760665862646465605540610292500,000$
23Jakub Galvas0X97.005130898255738260505659686082715540660263500,000$
MOYENNE D’ÉQUIPE99.50654478797077796763706870687571554069
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
1Stuart Skinner0100.0077727786848483848482837362554078N02643,500,000$
2Sam Montembeault0100.00807578848080818181807977645540770281500,000$
Rayé
1Philipp Grubauer0100.008272758081808181818079826755407703321,365,000$
Équipe Mineure
1JOHN LETHEMON0100.00766060807878797979787973635240730281250,000$
2NOA VALI098.00906060767973747777747557535240710201267,000$
3BRANDON BUSSI0100.00666060777273747474737268575040690271250,000$
MOYENNE D’ÉQUIPE99.6779676881797879797978787261534074
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
1Nikolaj EhlersCarolina HurricanesLW33101626-3180533512336968.13%1672421.96167111090002665047.50%404119000.7203000321
2Ryan JohansenCarolina HurricanesC331692554525808585255618.82%1370521.37729201030001696152.04%859811000.7112401023
3Travis KonecnyCarolina HurricanesRW32619252140674911024775.45%1465520.491899840111590037.93%293414000.7600000311
4Martin NecasCarolina HurricanesC3361824-360646810035556.00%1968120.67347181130000771046.26%7222710000.7012000024
5Janne KuokkanenCarolina HurricanesRW3351520-3431544438526575.88%1969220.9914591090002620036.96%46328100.5800012101
6Alex NewhookCarolina HurricanesRW3371219-3241025367316479.59%650215.22145778000000131.03%291111000.7600110200
7Dylan HollowayCarolina HurricanesLW309716-560704163283514.29%849416.48257696000011133.33%182113000.6501000112
8Brock FaberCarolina HurricanesD3341115-39517795916126.78%4483525.321013108000283120%01421000.3600001120
9Rasmus DahlinCarolina HurricanesD3331215-7492581609226293.26%6085125.802468106000076100%02617000.3500212200
10Ryan DzingelCarolina HurricanesLW33471172026174515288.89%62738.2700000000000166.67%395000.8100000120
11Scott LaughtonCarolina HurricanesC3355109135392047192010.64%42457.4400000000000143.64%11076000.8100100101
12Evgeni MalkinCarolina HurricanesC33437-412032365418317.41%540812.370002130001150057.66%13757000.3400000020
13Dakota MermisCarolina HurricanesD3315689538353114163.23%2947214.33101219000221000%0534000.2500010010
14Drew HellesonCarolina HurricanesD3315683115263219995.26%1644113.38011113000014010%0516000.2700111000
15Philippe MyersCarolina HurricanesD2306651954250257140%2549921.73011369000250000%0814000.2400001000
16Jakob SilfverbergCarolina HurricanesRW33325-29525263214239.38%1133810.2400003000000133.33%686000.3000100000
17Blake ColemanCarolina HurricanesLW33314-3295592729121910.34%1138111.57000050000231055.00%40514000.2100001011
18Philip BrobergCarolina HurricanesD29123-1014101450299103.45%4267023.110004100000165100%0616000.0911002000
19Yakov TreninCarolina HurricanesRW232024952814164712.50%31657.190000000000100%025000.2400100101
20Dakota JoshuaGreenville Swamp Rabbits (CAR)C310120050104100.00%0248.09000000000110100.00%111000.8200000010
21Kaedan KorczakGreenville Swamp Rabbits (CAR)D5101-2201661216.67%49218.4900001700003000%023000.2200000000
22Vladislav KolyachonokCarolina HurricanesD9011000274240%312013.390000700006000%004000.1700000000
Statistiques d’équipe totales ou en moyenne61692156248236313583881611283566518.16%3581027716.6820395910311610111469919948.87%2040277255100.483911511161715
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
1Stuart SkinnerCarolina Hurricanes1511310.9352.029202031480223010.71471512400
2Sam MontembeaultCarolina Hurricanes136600.9192.40750403036919002001216111
3Philipp GrubauerCarolina Hurricanes63210.9013.05335001717283000065100
Statistiques d’équipe totales ou en moyenne34201120.9242.332006607810214960373333611


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 NewhookCarolina HurricanesRW242001-01-28CANNo190 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,500,000$837,766$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Blake ColemanCarolina HurricanesLW331991-11-28USANo207 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,700,000$949,468$0$0$No---------------------------Lien
Brock FaberCarolina HurricanesD222002-08-22USANo201 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm700,000$390,957$0$0$No700,000$--------700,000$--------No--------Lien
Dakota MermisCarolina HurricanesD311994-01-05USANo194 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,000,000$1,117,021$0$0$No---------------------------Lien
Drew HellesonCarolina HurricanesD242001-03-26USAYes190 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm800,000$446,809$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Dylan HollowayCarolina HurricanesLW232001-09-23CANYes203 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,250,000$698,138$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien
Evgeni Malkin (contrat à 1 volet)Carolina HurricanesC381986-07-31RUSNo194 Lbs6 ft4NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm4,500,000$2,513,298$0$0$No4,500,000$--------4,500,000$--------No--------Lien
Jakob SilfverbergCarolina HurricanesRW341990-10-13SWENo207 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,600,000$893,617$0$0$No---------------------------Lien
Janne Kuokkanen (contrat à 1 volet)Carolina HurricanesRW271998-05-25FINNo193 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,250,000$1,815,160$0$0$No3,250,000$--------3,250,000$--------No--------Lien
Martin Necas (contrat à 1 volet)Carolina HurricanesC261999-01-15CZENo198 Lbs6 ft2NoNoFree AgentNoNo42025-10-06FalseFalsePro & Farm7,310,000$4,082,713$0$0$No7,310,000$7,310,000$7,310,000$------7,310,000$7,310,000$7,310,000$------NoNoNo------Lien
Nikolaj Ehlers (contrat à 1 volet)Carolina HurricanesLW291996-02-14DNKNo172 Lbs6 ft0NoNoFree AgentNoNo42025-10-21FalseFalsePro & Farm4,000,000$2,234,043$0$0$No4,000,000$4,000,000$4,000,000$------4,000,000$4,000,000$4,000,000$------NoNoNo------Lien
Philip BrobergCarolina HurricanesD242001-06-25SWEYes199 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,500,000$837,766$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Philipp GrubauerCarolina HurricanesG331991-11-25DEUNo187 Lbs6 ft1NoNoTrade2025-12-18NoNo22025-10-13FalseFalsePro & Farm1,365,000$762,367$0$0$No1,365,000$--------1,365,000$--------No--------Lien
Philippe Myers (contrat à 1 volet)Carolina HurricanesD281997-01-25CANNo219 Lbs6 ft6NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,700,000$1,507,979$0$0$No---------------------------Lien
Rasmus Dahlin (contrat à 1 volet)Carolina HurricanesD252000-04-13SWENo203 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm6,300,000$3,518,617$0$0$No6,300,000$--------6,300,000$--------No--------Lien
Ryan Dzingel (contrat à 1 volet)Carolina HurricanesLW331992-03-09USANo190 Lbs6 ft0NoNoFree AgentNoNo22025-10-25FalseFalsePro & Farm2,000,000$1,117,021$0$0$No2,000,000$--------2,000,000$--------No--------
Ryan Johansen (contrat à 1 volet)Carolina HurricanesC321992-07-31CANNo218 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,600,000$2,010,638$0$0$No---------------------------Lien
Sam MontembeaultCarolina HurricanesG281996-10-30CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$279,255$0$0$No---------------------------Lien
Scott Laughton (contrat à 1 volet)Carolina HurricanesC311994-05-30CANNo190 Lbs6 ft1NoNoFree AgentNoNo22025-10-21FalseFalsePro & Farm3,000,000$1,675,532$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Stuart Skinner (contrat à 1 volet)Carolina HurricanesG261998-11-01CANNo205 Lbs6 ft4YesNoFree AgentNoNo42025-10-21FalseFalsePro Only3,500,000$1,954,787$0$0$No3,500,000$3,500,000$3,500,000$------3,500,000$3,500,000$3,500,000$------YesYesYes------Lien
Travis Konecny (contrat à 1 volet)Carolina HurricanesRW281997-03-11CANNo174 Lbs5 ft10NoNoTrade2026-03-26NoNo12025-09-30FalseFalsePro & Farm3,000,000$1,675,532$0$0$No---------------------------Lien
Vladislav KolyachonokCarolina HurricanesD242001-05-26BLRYes193 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm700,000$390,957$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Yakov TreninCarolina HurricanesRW281997-01-13RUSNo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,400,000$781,915$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.30197 Lbs6 ft22.092,529,348$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
58,175,000$41,675,000$19,060,000$14,810,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolaj EhlersMartin NecasTravis Konecny39014
2Dylan HollowayRyan JohansenJanne Kuokkanen34023
3Jakob SilfverbergEvgeni MalkinAlex Newhook18023
4Blake ColemanScott LaughtonRyan Dzingel9041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus DahlinDakota Mermis38041
2Philippe MyersBrock Faber35041
3Vladislav KolyachonokDrew Helleson19041
4Rasmus DahlinBrock Faber8032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolaj EhlersMartin NecasJanne Kuokkanen50005
2Dylan HollowayRyan JohansenTravis Konecny50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus DahlinBrock Faber50005
2Dakota MermisPhilippe Myers50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Martin NecasNikolaj Ehlers50050
2Ryan JohansenJanne Kuokkanen50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brock FaberRasmus Dahlin50050
2Dakota MermisPhilippe Myers50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Martin Necas50050Brock FaberRasmus Dahlin50050
2Ryan Johansen50050Dakota MermisPhilippe Myers50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Martin NecasNikolaj Ehlers50023
2Ryan JohansenJanne Kuokkanen50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brock FaberRasmus Dahlin50041
2Dakota MermisPhilippe Myers50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolaj EhlersMartin NecasJanne KuokkanenBrock FaberRasmus Dahlin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolaj EhlersMartin NecasJanne KuokkanenBrock FaberRasmus Dahlin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Martin Necas, Ryan Johansen, Janne KuokkanenMartin Necas, Nikolaj EhlersMartin Necas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Rasmus Dahlin, Brock Faber, Vladislav KolyachonokPhilippe MyersVladislav Kolyachonok, Rasmus Dahlin
Tirs de pénalité
Nikolaj Ehlers, Martin Necas, Ryan Johansen, Dylan Holloway, Janne Kuokkanen
Gardien
#1 : Stuart Skinner, #2 : Sam Montembeault
Lignes d’attaque personnalisées en prolongation
Martin Necas, Ryan Johansen, Nikolaj Ehlers, Janne Kuokkanen, Travis Konecny, Dylan Holloway, Alex Newhook, Evgeni Malkin, Jakob Silfverberg, Scott Laughton
Lignes de défense personnalisées en prolongation
Rasmus Dahlin, Brock Faber, Philippe Myers, Vladislav Kolyachonok, 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
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Anaheim Mighty Ducks10001000321000000000001000100032120.667369002001341451323411618300.00%3166.67%039879749.94%36875648.68%22744251.36%2212219179
2Boston Bruins210000016601000000134-11100000032140.66761016004020721521355602745531119.09%50100.00%039879749.94%36875648.68%22744251.36%472844193317
3California Golden Seals1010000024-2000000000001010000024-200.000235001100259133035112129200.00%8275.00%039879749.94%36875648.68%22744251.36%1910238178
4Colorado Avalanche1010000013-2000000000001010000013-200.00012300001026146603611421300.00%20100.00%039879749.94%36875648.68%22744251.36%1810249167
5Detroit Red Wings10000010321100000103210000000000020.667336001012218565431511296116.67%30100.00%039879749.94%36875648.68%22744251.36%1992610199
6Florida Panthers11000000321000000000001100000032131.00035800012038912170298726600.00%10100.00%039879749.94%36875648.68%22744251.36%2314218148
7Hamilton Mustangs2110000045-1110000002111010000024-230.5004610001120652127170752713404125.00%4175.00%039879749.94%36875648.68%22744251.36%402447173115
8Los Angeles Kings1010000013-21010000013-20000000000000.000123001000281151203392225120.00%10100.00%039879749.94%36875648.68%22744251.36%2111228168
9Montreal Canadiens210001004311000010012-11100000031240.6674610000310582221141653423585120.00%40100.00%039879749.94%36875648.68%22744251.36%432546183317
10New Jersey Devils11000000532000000000001100000053231.000571200041027813603179233133.33%20100.00%039879749.94%36875648.68%22744251.36%2011229178
11New York Islanders1010000024-21010000024-20000000000000.0002461002003611169030109215120.00%2150.00%039879749.94%36875648.68%22744251.36%2213228157
12New York Rangers2010100067-1100010003211010000035-220.333610161012215316261015815284810110.00%9366.67%039879749.94%36875648.68%22744251.36%402144183518
13Ottawa Senators21001000422110000002111000100021150.833471100030160221816457162554400.00%100100.00%039879749.94%36875648.68%22744251.36%422243183416
14Philadelphia Flyers21100000761110000005321010000023-130.5007132000052081322425057251742400.00%6266.67%039879749.94%36875648.68%22744251.36%422642163417
15Pittsburgh Penguins2110000056-11010000024-21100000032130.50059140022105919251506224294010220.00%70100.00%039879749.94%36875648.68%22744251.36%392245183416
16Quebec Nordiques2020000026-41010000013-21010000013-200.000246102000783229170572038481600.00%10370.00%039879749.94%36875648.68%22744251.36%503037173117
17San Jose Sharks11000000413000000000001100000041331.000481200130034522702078267228.57%40100.00%039879749.94%36875648.68%22744251.36%22121710198
18Seattle Kraken11000000422110000004220000000000031.00045900130027415802684237228.57%20100.00%039879749.94%36875648.68%22744251.36%2011219179
19Tampa Bay Lightning20101000440100010002111010000023-120.333459000121601620177702115525120.00%5260.00%039879749.94%36875648.68%22744251.36%442544183517
20Toronto Maple Leafs21001000633110000003121000100032150.83361016000411732231191561414425240.00%80100.00%039879749.94%36875648.68%22744251.36%452740183416
21Vancouver Canucks10001000211000000000001000100021120.6672350010013311164232102124500.00%20100.00%039879749.94%36875648.68%22744251.36%2414219189
22Vegas Golden Knights10001000431100010004310000000000020.66747110003014091710430136314125.00%3166.67%039879749.94%36875648.68%22744251.36%23132091910
23Winnipeg Jets10001000541100010005410000000000020.6675914003101331191122844244125.00%2150.00%039879749.94%36875648.68%22744251.36%2415178189
Total33111108111878251654041114340317670400044422530.53587144231302139181010613413962973410243473597941341914.18%1031783.50%039879749.94%36875648.68%22744251.36%720416718301570285
_Since Last GM Reset33111108111878251654041114340317670400044422530.53587144231302139181010613413962973410243473597941341914.18%1031783.50%039879749.94%36875648.68%22744251.36%720416718301570285
_Vs Conference239804101585711143021012626012550200032311370.536589615430102816476024528321719707248272547881112.50%731283.56%039879749.94%36875648.68%22744251.36%502293502208388195
_Vs Division9330200126260401020011011-15320000016151140.51926416720510922867510894132788811322340512.50%24675.00%039879749.94%36875648.68%22744251.36%1981161998215278

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3353W2871442311061102434735979430
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
33111181118782
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
165441114340
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
176740004442
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1341914.18%1031783.50%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
3413962973421391810
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
39879749.94%36875648.68%22744251.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
720416718301570285


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
14New York Islanders4Carolina Hurricanes2LSommaire du match
318Carolina Hurricanes5New Jersey Devils3WSommaire du match
532Carolina Hurricanes2Tampa Bay Lightning3LSommaire du match
749Philadelphia Flyers3Carolina Hurricanes5WSommaire du match
961New York Rangers2Carolina Hurricanes3WXSommaire du match
1176Carolina Hurricanes3Boston Bruins2WSommaire du match
1389Carolina Hurricanes3Florida Panthers2WSommaire du match
15102Seattle Kraken2Carolina Hurricanes4WSommaire du match
18124Carolina Hurricanes3Anaheim Mighty Ducks2WXSommaire du match
20132Los Angeles Kings3Carolina Hurricanes1LSommaire du match
22142Carolina Hurricanes2Ottawa Senators1WXSommaire du match
26163Carolina Hurricanes1Quebec Nordiques3LSommaire du match
29174Carolina Hurricanes3Pittsburgh Penguins2WSommaire du match
33195Hamilton Mustangs1Carolina Hurricanes2WSommaire du match
35203Carolina Hurricanes3Toronto Maple Leafs2WXSommaire du match
37213Montreal Canadiens2Carolina Hurricanes1LXSommaire du match
40227Carolina Hurricanes3Montreal Canadiens1WSommaire du match
43239Toronto Maple Leafs1Carolina Hurricanes3WSommaire du match
46255Carolina Hurricanes2Hamilton Mustangs4LSommaire du match
50272Pittsburgh Penguins4Carolina Hurricanes2LSommaire du match
53284Quebec Nordiques3Carolina Hurricanes1LSommaire du match
55298Ottawa Senators1Carolina Hurricanes2WSommaire du match
59312Carolina Hurricanes2Vancouver Canucks1WXSommaire du match
62328Carolina Hurricanes1Colorado Avalanche3LSommaire du match
63338Detroit Red Wings2Carolina Hurricanes3WXXSommaire du match
65352Winnipeg Jets4Carolina Hurricanes5WXSommaire du match
67366Boston Bruins4Carolina Hurricanes3LXXSommaire du match
69382Carolina Hurricanes3New York Rangers5LSommaire du match
71395Carolina Hurricanes2Philadelphia Flyers3LSommaire du match
73410Tampa Bay Lightning1Carolina Hurricanes2WXSommaire du match
76424Carolina Hurricanes2California Golden Seals4LSommaire du match
78436Vegas Golden Knights3Carolina Hurricanes4WXSommaire du match
80450Carolina Hurricanes4San Jose Sharks1WSommaire du match
84469Hamilton Mustangs-Carolina Hurricanes-
86482Carolina Hurricanes-Toronto Maple Leafs-
88496Montreal Canadiens-Carolina Hurricanes-
91506Carolina Hurricanes-Chicago Blackhawks-
94527Chicago Blackhawks-Carolina Hurricanes-
96541Edmonton Oilers-Carolina Hurricanes-
97548Carolina Hurricanes-Edmonton Oilers-
99562Carolina Hurricanes-St Louis Blues-
101576Columbus Blue Jackets-Carolina Hurricanes-
103589New Jersey Devils-Carolina Hurricanes-
106603Carolina Hurricanes-New York Islanders-
109619Florida Panthers-Carolina Hurricanes-
113633Carolina Hurricanes-Ottawa Senators-
116652Quebec Nordiques-Carolina Hurricanes-
120672Carolina Hurricanes-Pittsburgh Penguins-
122681Carolina Hurricanes-Detroit Red Wings-
123688Colorado Avalanche-Carolina Hurricanes-
125702Vancouver Canucks-Carolina Hurricanes-
127715Carolina Hurricanes-Los Angeles Kings-
129732Anaheim Mighty Ducks-Carolina Hurricanes-
131746Carolina Hurricanes-Seattle Kraken-
134762Boston Bruins-Carolina Hurricanes-
136775Carolina Hurricanes-New York Rangers-
138791Philadelphia Flyers-Carolina Hurricanes-
140802Carolina Hurricanes-Tampa Bay Lightning-
144820Carolina Hurricanes-Winnipeg Jets-
147837California Golden Seals-Carolina Hurricanes-
150854Carolina Hurricanes-Vegas Golden Knights-
152868San Jose Sharks-Carolina Hurricanes-
154877St Louis Blues-Carolina Hurricanes-
156887Carolina Hurricanes-Columbus Blue Jackets-
159910Carolina Hurricanes-Hamilton Mustangs-
161918Toronto Maple Leafs-Carolina Hurricanes-
163936Carolina Hurricanes-Montreal Canadiens-
165951Pittsburgh Penguins-Carolina Hurricanes-
167963Carolina Hurricanes-Quebec Nordiques-
169977Ottawa Senators-Carolina Hurricanes-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172994Carolina Hurricanes-Boston Bruins-
1741005New York Rangers-Carolina Hurricanes-
1761020Carolina Hurricanes-Philadelphia Flyers-
1781033Tampa Bay Lightning-Carolina Hurricanes-
1801040Carolina Hurricanes-New Jersey Devils-
1811054New Jersey Devils-Carolina Hurricanes-
1831068New York Islanders-Carolina Hurricanes-
1841082Carolina Hurricanes-New York Islanders-
1861097Carolina Hurricanes-Florida Panthers-
1871112Florida Panthers-Carolina Hurricanes-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance76,99563,56027,28749,45215,710
Attendance PCT81.01%81.74%86.13%78.05%77.93%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 14563 - 80.90% 1,054,720$16,875,515$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
25,150,878$ 59,192,000$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 25,150,878$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
25,313,272$ 105 314,851$ 33,059,355$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
33,908,280$ 72,498,657$ 65,337,401$



Charte de profondeur

Ailier gaucheCentreAilier droit
Nikolaj EhlersAGE:29PO:55OV:76
Dylan Holloway (R)AGE:23PO:55OV:75
Ryan DzingelAGE:33PO:55OV:70
Blake ColemanAGE:33PO:55OV:69
Brett SeneyAGE:29PO:55OV:68
Joona LuotoAGE:27PO:55OV:67
Brett MurrayAGE:26PO:55OV:64
Mikhail MaltsevAGE:27PO:55OV:62
Samuel FagemoAGE:25PO:55OV:62
Martin NecasAGE:26PO:55OV:77
Ryan JohansenAGE:32PO:55OV:76
Evgeni MalkinAGE:38PO:55OV:71
Scott LaughtonAGE:31PO:55OV:71
Alex Turcotte (R)AGE:24PO:55OV:67
Dakota JoshuaAGE:29PO:55OV:67
Nic PetanAGE:30PO:55OV:67
Taro HiroseAGE:29PO:55OV:65
Josh DunneAGE:26PO:55OV:64
Lias AnderssonAGE:26PO:55OV:64
Rourke ChartierAGE:29PO:55OV:61
Travis KonecnyAGE:28PO:55OV:77
Janne KuokkanenAGE:27PO:55OV:76
Alex NewhookAGE:24PO:55OV:73
Jakob SilfverbergAGE:34PO:55OV:70
Yakov TreninAGE:28PO:55OV:70
RYAN LASCHAGE:38PO:52OV:69
Peter CehlarikAGE:29PO:55OV:66
Nikita ScherbakAGE:29PO:55OV:62

Défense #1Défense #2Gardien
Rasmus DahlinAGE:25PO:55OV:81
Brock FaberAGE:22PO:55OV:77
Philippe MyersAGE:28PO:55OV:76
Philip Broberg (R)AGE:24PO:55OV:73
Dakota MermisAGE:31PO:55OV:72
Drew Helleson (R)AGE:24PO:55OV:71
Kaedan Korczak (R)AGE:24PO:55OV:71
Jalen ChatfieldAGE:29PO:55OV:70
Torey KrugAGE:34PO:55OV:70
Jack AhcanAGE:28PO:55OV:68
Robin SaloAGE:26PO:55OV:68
Jakub GalvasAGE:26PO:55OV:66
Roland McKeownAGE:29PO:55OV:66
Ty SmithAGE:25PO:55OV:66
Vladislav Kolyachonok (R)AGE:24PO:55OV:66
Stuart SkinnerAGE:26PO:55OV:78
Philipp GrubauerAGE:33PO:55OV:77
Sam MontembeaultAGE:28PO:55OV:77
JOHN LETHEMONAGE:28PO:52OV:73
NOA VALIAGE:20PO:52OV:71
BRANDON BUSSIAGE:27PO:50OV:69

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 LTCsCarolina Hurricanes00
0x RFA Tag (Rasmus Dahlin Y27)Carolina Hurricanes00
0x TC PTSCarolina Hurricanes00
1 000 000 NSHL25 Waiver BucksCarolina Hurricanes00
1x NSHL26 ODW ClaimCarolina Hurricanes00
Artyom LevshunovCarolina Hurricanes2460Lien
Brady PeddleCarolina Hurricanes251300Lien
Cruz LuciusCarolina Hurricanes221680Lien
Dalibor DvorskyCarolina Hurricanes23110Lien
Drew CommessoCarolina Hurricanes201050Lien
Gleb TrikozovCarolina Hurricanes22540Lien
Ilya KonovalovCarolina Hurricanes191360Lien
Jackson BlakeCarolina Hurricanes211420Lien
Karl HenrikssonCarolina Hurricanes191060Lien
Mason LohreiCarolina Hurricanes201160Lien
Noel GunlerCarolina Hurricanes20390Lien
Owen PickeringCarolina Hurricanes22240Lien
Porter MartoneCarolina Hurricanes2560Lien
Reid SchaeferCarolina Hurricanes22290Lien
Ryan O'RourkeCarolina Hurricanes20620Lien
Ryan SuzukiCarolina Hurricanes19180Lien
Tij IginlaCarolina Hurricanes2470Lien
William WallinderCarolina Hurricanes20440Lien
Zachary L'HeureuxCarolina Hurricanes21310Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




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Carolina Hurricanes Historique de transactions

[2026-03-31 9:29:12 AM] TRADE : From Vegas Golden Knights to Carolina Hurricanes : NOA VALI (71).
[2026-03-31 9:29:12 AM] TRADE : From Carolina Hurricanes to Vegas Golden Knights : $250,000 (Money).
[2026-03-26 3:59:49 PM] TRADE : From Vegas Golden Knights to Carolina Hurricanes : Travis Konecny (77).
[2026-03-26 3:59:49 PM] TRADE : From Carolina Hurricanes to Vegas Golden Knights : Joakim Kemell (P), Y:26-RND:1-CAR, Y:26-RND:2-CAR, Y:26-RND:3-CAR.
[2026-03-08 9:21:37 AM] New Record for Team's Most Shots Blocked (19) in 1 Game for Carolina Hurricanes!
[2026-03-04 4:09:22 PM] New Record for Team's Most Hits (32) in 1 Game for Carolina Hurricanes!
[2026-02-13 3:05:42 PM] TRADE : From Anaheim Mighty Ducks to Carolina Hurricanes : $1,089,835 (Money).
[2026-02-07 3:08:52 PM] New Record for Team's Most Hits (26) in 1 Game for Carolina Hurricanes!
[2026-02-05 1:28:03 PM] New Record for Team's Most Penalties Minutes (39) in 1 Game for Carolina Hurricanes!
[2026-02-05 1:28:03 PM] New Record for Team's Most Shots (41) in 1 Game for Carolina Hurricanes!
[2026-02-03 3:12:00 PM] New Record for Team's Most Hits (25) in 1 Game for Carolina Hurricanes!
[2026-02-01 12:08:42 PM] New Record for Team's Most Shots Blocked (17) in 1 Game for Carolina Hurricanes!
[2026-02-01 12:08:42 PM] New Record for Team's Most Shots (40) in 1 Game for Carolina Hurricanes!
[2026-02-01 12:08:42 PM] New Record for Team's Most Points (14) in 1 Game for Carolina Hurricanes!
[2026-02-01 12:08:42 PM] New Record for Team's Most Assists (9) in 1 Game for Carolina Hurricanes!
[2026-01-30 3:38:06 PM] New Record for Team's Most Penalties Minutes (11) in 1 Game for Carolina Hurricanes!



RYAN LASCH est dehors pour 1 semaine à cause de Back Spasms 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