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Carolina Hurricanes
GP: 19 | W: 13 | L: 5 | OTL: 1 | P: 36
GF: 51 | GA: 43 | PP%: 18.06% | PK%: 90.57%
DG: Dwayne | Morale : 40 | Moyenne d’équipe : 74
Prochains matchs #272 vs Pittsburgh Penguins

Centre de jeu
Toronto Maple Leafs
8-9-2, 22pts
1
3 Carolina Hurricanes
13-5-1, 36pts
Team Stats
W1SéquenceL1
3-2-2Fiche domicile5-2-1
5-7-0Fiche visiteur8-3-0
4-5-1Derniers 10 matchs6-3-1
2.32Buts par match 2.68
2.58Buts contre par match 2.26
19.70%Pourcentage en avantage numérique18.06%
82.76%Pourcentage en désavantage numérique90.57%
Carolina Hurricanes
13-5-1, 36pts
2
4 Hamilton Mustangs
13-5-1, 38pts
Team Stats
L1SéquenceW1
5-2-1Fiche domicile10-1-0
8-3-0Fiche visiteur3-4-1
6-3-1Derniers 10 matchs8-2-0
2.68Buts par match 3.00
2.26Buts contre par match 2.11
18.06%Pourcentage en avantage numérique17.19%
90.57%Pourcentage en désavantage numérique80.33%
Pittsburgh Penguins
9-9-0, 23pts
Jour 50
Carolina Hurricanes
13-5-1, 36pts
Statistiques d’équipe
W1SéquenceL1
3-6-0Fiche domicile5-2-1
6-3-0Fiche visiteur8-3-0
6-4-010 derniers matchs6-3-1
2.83Buts par match 2.68
3.00Buts contre par match 2.68
12.90%Pourcentage en avantage numérique18.06%
79.45%Pourcentage en désavantage numérique90.57%
Quebec Nordiques
9-8-1, 28pts
Jour 53
Carolina Hurricanes
13-5-1, 36pts
Statistiques d’équipe
L3SéquenceL1
4-5-1Fiche domicile5-2-1
5-3-0Fiche visiteur8-3-0
5-5-010 derniers matchs6-3-1
2.94Buts par match 2.68
2.72Buts contre par match 2.68
20.41%Pourcentage en avantage numérique18.06%
85.05%Pourcentage en désavantage numérique90.57%
Ottawa Senators
7-7-4, 24pts
Jour 55
Carolina Hurricanes
13-5-1, 36pts
Statistiques d’équipe
SOL1SéquenceL1
5-2-2Fiche domicile5-2-1
2-5-2Fiche visiteur8-3-0
3-5-210 derniers matchs6-3-1
2.67Buts par match 2.68
3.28Buts contre par match 2.68
20.29%Pourcentage en avantage numérique18.06%
78.82%Pourcentage en désavantage numérique90.57%
Meneurs d'équipe
Buts
Ryan Johansen
10
Passes
Martin Necas
11
Points
Martin Necas
16
Plus/Moins
Ryan Johansen
6
Victoires
Stuart Skinner
7
Pourcentage d’arrêts
Stuart Skinner
0.934

Statistiques d’équipe
Buts pour
51
2.68 GFG
Tirs pour
617
32.47 Avg
Pourcentage en avantage numérique
18.1%
13 GF
Début de zone offensive
39.1%
Buts contre
43
2.26 GAA
Tirs contre
598
31.47 Avg
Pourcentage en désavantage numérique
90.6%%
5 GA
Début de la zone défensive
38.9%
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
Assistance14,938
Billets de saison7,020


Informations de la formation

Équipe Pro23
Équipe Mineure24
Limite contact 47 / 250
Espoirs25


Finance

Revenu annuel à ce jour8,670,829$
Dépenses annuelles à ce jour13,754,790$
Revenus de la saison estimés34,683,316$
Dépenses de la saison estimées42,505,570$
Compte bancaire actuel75,766,528$
Compte bancaire projeté68,781,370$


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$
2Janne Kuokkanen0X99.0061477986788786766083847077747655407602723,250,000$
3Nikolaj Ehlers (A)0X99.0070377996559092786682817083787255407602944,000,000$
4Ryan Johansen (C)0X99.0079527981778787789078847078807555407603213,600,000$
5Dylan Holloway (R)0X100.0090458780778686767079817177687855407502331,250,000$
6Alex Newhook0X100.0057428382638392727778786974707355407302421,500,000$
7Evgeni Malkin0X100.0057427373708081789077756172887755407103824,500,000$
8Scott Laughton0X100.0083477480738080688672696871807255407103123,000,000$
9Jakob Silfverberg0X100.0062458973778787696570747269706755407003411,600,000$
10Ryan Dzingel0X100.0068517678688078706172706872816655407003322,000,000$
11Yakov Trenin0X100.0085557474807678667970667267777455407002811,400,000$
12Blake Coleman0X100.0083516173687880678470687068816855406903311,700,000$
13Rasmus Dahlin (A)0X99.0089528097829496785490758076717455408102526,300,000$
14Brock Faber0X99.005949918579969978508470807065795540770222700,000$
15Philippe Myers0X100.0084528074998487715077667866777755407602812,700,000$
16Philip Broberg (R)0X100.0056429081808585615075698063708055407302431,500,000$
17Dakota Mermis0X100.0076457975848079685070657664807255407203112,000,000$
18Drew Helleson (R)0X100.007447728178767665507066766470705540710243800,000$
Rayé
1Dakota Joshua0X100.007658696882707065756466706678725540670292500,000$
2Kaedan Korczak (R)0X100.005945887682727265507760786070805540710243800,000$
Équipe Mineure
1Brett Seney0X98.007135789450717465716968667378615540680292500,000$
2Alex Turcotte (R)0X98.0057407881617777627168656768707055406702431,750,000$
3Joona Luoto0X100.007351846484778362756065686476825540670272650,000$
4Nic Petan0X99.005939818356747763666867677079705540670303500,000$
5Peter Cehlarik0X98.005950766877797663586366666578705540660292500,000$
6Taro Hirose0X100.005432838351757561736563666678625540650291500,000$
7Brett Murray0X100.005760596395748260506261686168675540640264500,000$
8Josh Dunne0X100.007947696680687660695659706173695540640264500,000$
9Lias Andersson0X99.005940727666707860666060686468615540640264500,000$
10Mikhail Maltsev0X100.005144786970627155685859736075635540620272500,000$
11Nikita Scherbak0X100.005719797654656060546062666567615540620292500,000$
12Samuel Fagemo0X100.005445796965667460505661676273635540620253800,000$
13Jalen Chatfield0X99.006146688180757468506864696683785540700292500,000$
14Torey Krug0X100.0051438786638284685075627166816855407003412,000,000$
15Jack Ahcan0X100.006147878362748065506364686672765540680284600,000$
16Jakub Galvas0X100.005130898255738260505659686082715540660263500,000$
17Roland McKeown0X100.005746467961727265517062656177675540660292500,000$
18Ty Smith0X99.0050407482656767625062627262737355406602531,000,000$
19RYAN LASCH0X49.595029728348606076657765677391945240690381250,000$
20Rourke Chartier0X100.005717757347686760665862646465605540610292500,000$
21Robin Salo0X100.005747798078687668526966696575685540680261600,000$
22Vladislav Kolyachonok (R)0X100.005342797980686863506964616270705540660243700,000$
MOYENNE D’ÉQUIPE98.44654478797177796763706770687572554069
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
1Philipp Grubauer097.008272758081808181818079826755407703321,365,000$
2Sam Montembeault0100.00807578848080818181807977645540770281500,000$
Rayé
1Stuart Skinner0100.0077727786848483848482837362554078N02643,500,000$
Équipe Mineure
1JOHN LETHEMON097.00766060807878797979787973635240730281250,000$
2BRANDON BUSSI0100.00666060777273747474737268575040690271250,000$
MOYENNE D’ÉQUIPE98.8076687081797980808079787563534075
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
1Martin NecasCarolina HurricanesC1951116-32039406324327.94%1038020.042249640000411045.71%396146000.8400000024
2Nikolaj EhlersCarolina HurricanesLW1951116210030186223648.06%741421.831347630000353042.86%212814000.7701000211
3Ryan JohansenCarolina HurricanesC191061663115385349193720.41%740321.2542613580001354051.95%51246000.7900201011
4Janne KuokkanenCarolina HurricanesRW193101338026216018385.00%1241621.950337610001360037.14%35195100.6200000100
5Alex NewhookCarolina HurricanesRW195712-519515243582414.29%632016.88145659000000133.33%2466000.7500010200
6Dylan HollowayCarolina HurricanesLW164711-640372130141813.33%626516.57257450000000040.00%10138000.8300000012
7Ryan DzingelCarolina HurricanesLW19459300171435102411.43%51678.82000000000001100.00%272001.0700000120
8Brock FaberCarolina HurricanesD19358-340104836868.33%2647825.16101363000244110%01015000.3300000020
9Rasmus DahlinCarolina HurricanesD19257-4362047295917173.39%3348225.40134760000040100%01613000.2900112100
10Drew HellesonCarolina HurricanesD1914561915181917865.88%1426814.11011113000013010%0411000.3700111000
11Scott LaughtonCarolina HurricanesC1923544014112513128.00%31407.3700000000000043.33%6066000.7100000001
12Dakota MermisCarolina HurricanesD1912350016202110104.76%1724913.121011600006000%0422000.2400000010
13Philip BrobergCarolina HurricanesD19123-60093422884.55%2645323.87000462000043100%0410000.1311000000
14Philippe MyersCarolina HurricanesD902217513229040%718420.45000019000117000%045000.2200001000
15Yakov TreninCarolina HurricanesRW192023002310153613.33%21387.300000000000100%024000.2900000101
16Dakota JoshuaCarolina HurricanesC310120050104100.00%0248.09000000000110100.00%111000.8200000010
17Evgeni MalkinCarolina HurricanesC19101-41202017348202.94%424512.90000211000090059.02%6154000.0800000010
18Jakob SilfverbergCarolina HurricanesRW19011-44019192010190%721411.2900002000000025.00%454000.0900000000
19Kaedan KorczakCarolina HurricanesD5101-2201661216.67%49218.4900001700003000%023000.2200000000
20Vladislav KolyachonokGreenville Swamp Rabbits (CAR)D5011000164120%26913.810000700003000%002000.2900000000
21Blake ColemanCarolina HurricanesLW19000-5215311014890%621511.3200003000090051.43%352500000001000
Statistiques d’équipe totales ou en moyenne3425182133-7183654294426172113628.27%204562416.4513233664625000534513448.66%1161156152100.471243681210
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 Hurricanes107300.9342.1060120213171410100104200
2Sam MontembeaultCarolina Hurricanes54100.9192.403002012148750000512100
3Philipp GrubauerCarolina Hurricanes42110.9322.2224300913265000043100
Statistiques d’équipe totales ou en moyenne1913510.9302.20114440425972810101919400


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$1,132,979$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Blake ColemanCarolina HurricanesLW331991-11-28USANo207 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,700,000$1,284,043$0$0$No---------------------------Lien
Brock FaberCarolina HurricanesD222002-08-22USANo201 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm700,000$528,723$0$0$No700,000$--------700,000$--------No--------Lien
Dakota JoshuaCarolina HurricanesC291996-05-15USANo205 Lbs6 ft3NoNoFree AgentNoNo22025-10-28FalseFalsePro Only500,000$377,660$0$0$No500,000$--------500,000$--------No--------Lien
Dakota MermisCarolina HurricanesD311994-01-05USANo194 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,000,000$1,510,638$0$0$No---------------------------Lien
Drew HellesonCarolina HurricanesD242001-03-26USAYes190 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm800,000$604,255$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$944,149$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$3,398,936$0$0$No4,500,000$--------4,500,000$--------No--------Lien
Jakob SilfverbergCarolina HurricanesRW341990-10-13SWENo207 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,600,000$1,208,511$0$0$No---------------------------Lien
Janne Kuokkanen (contrat à 1 volet)Carolina HurricanesRW271998-05-25FINNo193 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,250,000$2,454,787$0$0$No3,250,000$--------3,250,000$--------No--------Lien
Kaedan KorczakCarolina HurricanesD242001-01-29CANYes202 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm800,000$604,255$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Martin Necas (contrat à 1 volet)Carolina HurricanesC261999-01-15CZENo198 Lbs6 ft2NoNoFree AgentNoNo42025-10-06FalseFalsePro & Farm7,310,000$5,521,383$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$3,021,277$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$1,132,979$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$1,031,011$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$2,039,362$0$0$No---------------------------Lien
Rasmus Dahlin (contrat à 1 volet)Carolina HurricanesD252000-04-13SWENo203 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm6,300,000$4,758,511$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$1,510,638$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$2,719,149$0$0$No---------------------------Lien
Sam MontembeaultCarolina HurricanesG281996-10-30CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$377,660$0$0$No---------------------------Lien
Scott Laughton (contrat à 1 volet)Carolina HurricanesC311994-05-30CANNo190 Lbs6 ft1NoNoFree AgentNoNo22025-10-21FalseFalsePro & Farm3,000,000$2,265,957$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$2,643,617$0$0$No3,500,000$3,500,000$3,500,000$------3,500,000$3,500,000$3,500,000$------YesYesYes------Lien
Yakov TreninCarolina HurricanesRW281997-01-13RUSNo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,400,000$1,057,447$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.35199 Lbs6 ft22.132,425,000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
55,775,000$42,275,000$19,160,000$14,810,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolaj EhlersRyan JohansenJanne Kuokkanen39014
2Dylan HollowayMartin NecasAlex Newhook34023
3Blake ColemanEvgeni MalkinJakob Silfverberg18023
4Ryan DzingelScott LaughtonYakov Trenin9041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus DahlinPhilip Broberg38041
2Philippe MyersBrock Faber35041
3Dakota MermisDrew Helleson19041
4Rasmus DahlinBrock Faber8032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolaj EhlersMartin NecasJanne Kuokkanen50005
2Dylan HollowayRyan JohansenAlex Newhook50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus DahlinBrock Faber50005
2Philip BrobergPhilippe 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
2Philip BrobergPhilippe Myers50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Martin Necas50050Brock FaberRasmus Dahlin50050
2Ryan Johansen50050Philip BrobergPhilippe 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
2Philip BrobergPhilippe 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, Philip BrobergPhilippe MyersPhilip Broberg, Rasmus Dahlin
Tirs de pénalité
Nikolaj Ehlers, Martin Necas, Ryan Johansen, Dylan Holloway, Janne Kuokkanen
Gardien
#1 : Philipp Grubauer, #2 : Sam Montembeault
Lignes d’attaque personnalisées en prolongation
Martin Necas, Ryan Johansen, Nikolaj Ehlers, Janne Kuokkanen, Alex Newhook, Dylan Holloway, Evgeni Malkin, Scott Laughton, Jakob Silfverberg, Yakov Trenin
Lignes de défense personnalisées en prolongation
Rasmus Dahlin, Brock Faber, Philippe Myers, Philip Broberg, 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%022145149.00%21644848.21%12825350.59%2212219179
2Boston Bruins11000000321000000000001100000032131.000358002010411112180271439246116.67%20100.00%022145149.00%21644848.21%12825350.59%2315209158
3Florida Panthers11000000321000000000001100000032131.00035800012038912170298726600.00%10100.00%022145149.00%21644848.21%12825350.59%2314218148
4Hamilton Mustangs2110000045-1110000002111010000024-230.5004610001120652127170752713404125.00%4175.00%022145149.00%21644848.21%12825350.59%402447173115
5Los Angeles Kings1010000013-21010000013-20000000000000.000123001000281151203392225120.00%10100.00%022145149.00%21644848.21%12825350.59%2111228168
6Montreal Canadiens210001004311000010012-11100000031240.6674610000310582221141653423585120.00%40100.00%022145149.00%21644848.21%12825350.59%432546183317
7New Jersey Devils11000000532000000000001100000053231.000571200041027813603179233133.33%20100.00%022145149.00%21644848.21%12825350.59%2011229178
8New York Islanders1010000024-21010000024-20000000000000.0002461002003611169030109215120.00%2150.00%022145149.00%21644848.21%12825350.59%2213228157
9New York Rangers10001000321100010003210000000000020.66734700011126812513010825300.00%40100.00%022145149.00%21644848.21%12825350.59%2010219199
10Ottawa Senators10001000211000000000001000100021120.6672350001012889743471223300.00%60100.00%022145149.00%21644848.21%12825350.59%1882210188
11Philadelphia Flyers11000000532110000005320000000000031.00059140003204014131303317621100.00%30100.00%022145149.00%21644848.21%12825350.59%1911238168
12Pittsburgh Penguins11000000321000000000001100000032131.0003690002103251890311316164250.00%30100.00%022145149.00%21644848.21%12825350.59%1810239178
13Quebec Nordiques1010000013-2000000000001010000013-200.000123001000411318100317825700.00%5180.00%022145149.00%21644848.21%12825350.59%2415198158
14Seattle Kraken11000000422110000004220000000000031.00045900130027415802684237228.57%20100.00%022145149.00%21644848.21%12825350.59%2011219179
15Tampa Bay Lightning1010000023-1000000000001010000023-100.000224000020239311033811225120.00%3166.67%022145149.00%21644848.21%12825350.59%2111199189
16Toronto Maple Leafs21001000633110000003121000100032150.83361016000411732231191561414425240.00%80100.00%022145149.00%21644848.21%12825350.59%452740183416
Total19950410051438842011002118311530300030255360.6325182133108251446171902301889598204187429721318.06%53590.57%022145149.00%21644848.21%12825350.59%407236417170320161
_Since Last GM Reset19950410051438842011002118311530300030255360.6325182133108251446171902301889598204187429721318.06%53590.57%022145149.00%21644848.21%12825350.59%407236417170320161
_Vs Conference16840310043367631011001613310530200027234310.6464369112104221435281612051557505176175366571017.54%47491.49%022145149.00%21644848.21%12825350.59%343200352143268134
_Vs Division63201000181622010100056-14310000013103110.6111827451028711915668661180578314128414.29%14285.71%022145149.00%21644848.21%12825350.59%131771285410052

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1936L1518213361759820418742910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
199541005143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84211002118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
115330003025
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
721318.06%53590.57%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
1902301889825144
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
22145149.00%21644848.21%12825350.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
407236417170320161


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 Penguins-Carolina Hurricanes-
53284Quebec Nordiques-Carolina Hurricanes-
55298Ottawa Senators-Carolina Hurricanes-
59312Carolina Hurricanes-Vancouver Canucks-
62328Carolina Hurricanes-Colorado Avalanche-
63338Detroit Red Wings-Carolina Hurricanes-
65352Winnipeg Jets-Carolina Hurricanes-
67366Boston Bruins-Carolina Hurricanes-
69382Carolina Hurricanes-New York Rangers-
71395Carolina Hurricanes-Philadelphia Flyers-
73410Tampa Bay Lightning-Carolina Hurricanes-
76424Carolina Hurricanes-California Golden Seals-
78436Vegas Golden Knights-Carolina Hurricanes-
80450Carolina Hurricanes-San Jose Sharks-
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
Assistance39,51833,14613,54625,2388,057
Attendance PCT83.16%85.25%85.52%79.67%79.93%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 14938 - 82.99% 1,083,854$8,670,829$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
13,754,790$ 56,275,000$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 13,754,790$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
34,683,316$ 142 299,335$ 42,505,570$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
43,608,342$ 75,766,528$ 68,781,370$



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
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
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
Joakim KemellCarolina Hurricanes22150Lien
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




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

[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 2 mois 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