Carolina Hurricanes

GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 6
GF: 13 | GA: 11 | PP%: 21.74% | PK%: 86.96%
DG: Sebastien Chando | Morale : 77 | Moyenne d'Équipe : 80
Prochain matchs #44 vs New Jersey Devils
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Sidney Crosby (C)X100.00855587968896949990978991559696166870
2Eric Staal (A)X100.00755586899191949287869787559290174840
3Teuvo TeravainenXXX100.00695589918086929460908389558071178810
4Erik HaulaXX100.00635586918284829186829086557868179800
5Pierre-Luc Dubois (R)XX100.00945578898588928978818084557068175790
6Alex DeBrincat (R)XX100.00665592976590929262808877557572169790
7Jake GuentzelXX100.00895590957986898980818279557968170790
8Kyle ConnorXXX100.00605588947885829050829179557572161790
9Miles WoodX100.00795573928484857950708077557570179750
10Josh AndersonX100.00895570857483858561698278557070179750
11Connor BrownX100.00685582897778857968707482557477172740
12Stefan NoesenX100.00795575808282647760717488557876154730
13Brent BurnsX100.00805586959897969925977298558990174880
14Alex PietrangeloX100.00755595969598989625917598558685168870
15Dougie HamiltonX100.00815578988690869625837796558481172840
16Morgan RiellyX100.00755597968890929525946695558078180840
17Brayden McNabbX100.00985580839087798425666591558077173800
18Damon SeversonX100.00865583928286889025717088558178177800
Rayé
1Sam GagnerXX100.00795589838282818275787078557778163740
2Magnus PaajarviX100.00895576848180847250636982557571125710
3Brendan SmithX100.00815570798281857325646176558377126730
MOYENNE D'ÉQUIPE100.0079558390838787885479788655807716779
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
1Devan Dubnyk100.0095958895879789958590558787167890
2Calvin Pickard100.0079777973708079727880557671175750
Rayé
MOYENNE D'ÉQUIPE100.008786848479898484828555827917182
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice71919487927468CAN5152,100,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS 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
1Eric StaalCarolina HurricanesC522431001281641012.50%29519.18022419000081048.33%12000000.8300000001
2Kyle ConnorCarolina HurricanesC/LW/RW51343001511489.09%18617.26112319000001022.22%900000.9300000010
3Brent BurnsCarolina HurricanesD5213-52067134715.38%1013126.20202820000020000.00%000000.4600000100
4Connor BrownCarolina HurricanesRW51232400631333.33%05210.59011218000000041.30%4600001.1300000000
5Damon SeversonCarolina HurricanesD51234004523550.00%99118.23011010000021000.00%000000.6600000100
6Pierre-Luc DuboisCarolina HurricanesC/LW5112-260101062716.67%110120.240114180000240050.31%15900000.4000000000
7Jake GuentzelCarolina HurricanesC/LW5112-42013395911.11%29619.37101418000041037.50%800000.4100000001
8Alex PietrangeloCarolina HurricanesD3022-200195390.00%46722.660113900001000.00%000000.5900000000
9Brayden McNabbCarolina HurricanesD5022480927120.00%67615.2700010000017000.00%000000.5200000000
10Dougie HamiltonCarolina HurricanesD511212010764716.67%49318.6111231600002000.00%000000.4300000000
11Morgan RiellyCarolina HurricanesD5022120184350.00%510721.41011316000016000.00%000000.3700000000
12Alex DeBrincatCarolina HurricanesLW/RW5011-4000313030.00%17715.4100010000030060.00%500000.2600000000
13Erik HaulaCarolina HurricanesLW/RW501100027160110.00%09018.120004190000160066.67%900000.2200000000
14Sidney CrosbyCarolina HurricanesC3101-2202665416.67%24515.1800000000000049.18%6100000.4400000000
15Stefan NoesenCarolina HurricanesRW5011000313330.00%0316.350000000000000.00%400000.6300000000
16Teuvo TeravainenCarolina HurricanesC/LW/RW31013204360316.67%04314.5700000000000040.00%500000.4600000000
17Josh AndersonCarolina HurricanesLW510114062100410.00%27114.21000000000220040.00%500000.2800000001
18Miles WoodCarolina HurricanesLW5000020326430.00%0316.3500000000000033.33%300000.0000000000
19Magnus PaajarviCarolina HurricanesLW2000-100151010.00%0157.6500000000000031.25%1600000.0000000000
20Brendan SmithCarolina HurricanesD2000-300520010.00%23316.670000000000000.00%000000.0000000000
21Sam GagnerCarolina HurricanesC/RW2000100001040.00%0189.070000000000000.00%200000.0000000000
Stats d'équipe Total ou en Moyenne90132235046093101144461099.03%51145716.2059144018800001603046.68%45200000.4800000213
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
1Devan DubnykCarolina Hurricanes32100.9112.67180008900000.000032010
2Calvin PickardCarolina Hurricanes21100.9501.51119003600000.000023100
Stats d'équipe Total ou en Moyenne53200.9272.2129900111500000.000055110


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex DeBrincatCarolina HurricanesLW/RW191997-12-18Yes165 Lbs5 ft7NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$257,143$No
Alex PietrangeloCarolina HurricanesD261990-01-17No201 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm4,389,500$4,389,500$1,254,143$No
Brayden McNabbCarolina HurricanesD251991-01-20No208 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$285,714$No
Brendan SmithCarolina HurricanesD271989-02-07No211 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$285,714$No
Brent BurnsCarolina HurricanesD311985-03-09No230 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$1,857,143$No
Calvin PickardCarolina HurricanesG241992-04-15No200 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$500,000$142,857$No
Connor BrownCarolina HurricanesRW221994-01-14No160 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm300,000$300,000$85,714$No
Damon SeversonCarolina HurricanesD221994-08-07No205 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm500,000$500,000$142,857$No
Devan DubnykCarolina HurricanesG301986-05-04No210 Lbs6 ft6NoNoNo3Sans RestrictionPro & Farm6,500,000$6,500,000$1,857,143$No
Dougie HamiltonCarolina HurricanesD231993-06-17No212 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$1,000,000$No
Eric StaalCarolina HurricanesC321984-10-29No205 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$1,428,571$No
Erik HaulaCarolina HurricanesLW/RW251991-03-23No188 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm1,000,000$1,000,000$285,714$No
Jake GuentzelCarolina HurricanesC/LW221994-10-06No167 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm300,000$300,000$85,714$No
Josh AndersonCarolina HurricanesLW221994-05-07No212 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm500,000$500,000$142,857$No
Kyle ConnorCarolina HurricanesC/LW/RW201996-12-09No177 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$257,143$No
Magnus PaajarviCarolina HurricanesLW251991-04-12No208 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$500,000$142,857$No
Miles WoodCarolina HurricanesLW211995-09-13No160 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$300,000$85,714$No
Morgan RiellyCarolina HurricanesD221994-03-08No205 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm4,190,000$4,190,000$1,197,143$No
Pierre-Luc DuboisCarolina HurricanesC/LW181998-05-05Yes207 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$257,143$No
Sam GagnerCarolina HurricanesC/RW271989-08-09No202 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm990,000$990,000$282,857$No
Sidney CrosbyCarolina HurricanesC291987-08-06No200 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm6,500,000$6,500,000$1,857,143$No
Stefan NoesenCarolina HurricanesRW231993-02-11No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$900,000$257,143$No
Teuvo TeravainenCarolina HurricanesC/LW/RW221994-09-10No178 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$257,143$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2324.22196 Lbs6 ft12.002,085,630$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,969,500$28,490,000$19,990,000$1,800,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake GuentzelSidney CrosbyAlex DeBrincat33122
2Teuvo TeravainenEric StaalKyle Connor30122
3Josh AndersonPierre-Luc DuboisErik Haula24122
4Miles WoodConnor BrownStefan Noesen13320
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex PietrangeloBrent Burns42122
2Dougie HamiltonMorgan Rielly30221
3Damon SeversonBrayden McNabb23320
4Alex PietrangeloBrent Burns5122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Erik HaulaEric StaalKyle Connor60122
2Jake GuentzelPierre-Luc DuboisConnor Brown40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex PietrangeloBrent Burns60122
2Dougie HamiltonMorgan Rielly40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Pierre-Luc DuboisJosh Anderson60122
2Eric StaalErik Haula40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Damon SeversonBrayden McNabb60122
2Morgan RiellyBrent Burns40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Eric Staal60122Damon SeversonBrayden McNabb60122
2Erik Haula40122Dougie HamiltonMorgan Rielly40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Eric StaalJake Guentzel60122
2Pierre-Luc DuboisKyle Connor40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex PietrangeloBrent Burns60122
2Dougie HamiltonMorgan Rielly40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake GuentzelSidney CrosbyAlex DeBrincatDougie HamiltonBrent Burns
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Erik HaulaEric StaalConnor BrownMorgan RiellyBrent Burns
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Teuvo Teravainen, Eric Staal, Erik HaulaTeuvo Teravainen, Eric StaalErik Haula
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Damon Severson, Brayden McNabb, Dougie HamiltonDamon SeversonDamon Severson, Brayden McNabb
Tirs de Pénalité
Kyle Connor, Jake Guentzel, Eric Staal, Sidney Crosby, Pierre-Luc Dubois
Gardien
#1 : Devan Dubnyk, #2 : Calvin Pickard


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1New Jersey Devils53200000131123120000067-12200000074360.600132235006520144454356015051469323521.74%23386.96%010220749.28%8118045.00%286543.08%12182114386333
Total53200000131123120000067-12200000074360.600132235006520144454356015051469323521.74%23386.96%010220749.28%8118045.00%286543.08%12182114386333
_Since Last GM Reset53200000131123120000067-12200000074360.600132235006520144454356015051469323521.74%23386.96%010220749.28%8118045.00%286543.08%12182114386333
_Vs Conference53200000131123120000067-12200000074360.600132235006520144454356015051469323521.74%23386.96%010220749.28%8118045.00%286543.08%12182114386333
_Vs Division53200000131123120000067-12200000074360.600132235006520144454356015051469323521.74%23386.96%010220749.28%8118045.00%286543.08%12182114386333

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
56L113223514415051469300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
53200001311
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000067
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000074
Derniers 10 Matchs
WLOTWOTL SOWSOL
320000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
23521.74%23386.96%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
45435606520
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
10220749.28%8118045.00%286543.08%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12182114386333


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2019-04-064New Jersey Devils2Carolina Hurricanes1LSommaire du Match
3 - 2019-04-0812New Jersey Devils1Carolina Hurricanes3WSommaire du Match
5 - 2019-04-1020Carolina Hurricanes4New Jersey Devils2WSommaire du Match
7 - 2019-04-1228Carolina Hurricanes3New Jersey Devils2WSommaire du Match
9 - 2019-04-1436New Jersey Devils4Carolina Hurricanes2LSommaire du Match
11 - 2019-04-1644Carolina Hurricanes-New Jersey Devils-
13 - 2019-04-1852New Jersey Devils-Carolina Hurricanes-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance18,00015,0006,00012,0003,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 18000 - 100.00% 1,125,000$3,375,000$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 47,969,500$ 18,000,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 4 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 82,617,095$ 82,617,095$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Teuvo TeravainenAGE:22PO:1OV:81
Erik HaulaAGE:25PO:1OV:80
*Pierre-Luc DuboisAGE:18PO:1OV:79
*Alex DeBrincatAGE:19PO:1OV:79
Jake GuentzelAGE:22PO:1OV:79
Kyle ConnorAGE:20PO:1OV:79
Miles WoodAGE:21PO:1OV:75
Josh AndersonAGE:22PO:1OV:75
Magnus PaajarviAGE:25PO:1OV:71
Tyler MotteAGE:21PO:1OV:64
Tim KennedyAGE:30PO:1OV:55
Steve OttAGE:34PO:1OV:54
*A.J. WhiteAGE:24PO:1OV:53
Sidney CrosbyAGE:29PO:1OV:87
Eric StaalAGE:32PO:1OV:84
Teuvo TeravainenAGE:22PO:1OV:81
*Pierre-Luc DuboisAGE:18PO:1OV:79
Jake GuentzelAGE:22PO:1OV:79
Kyle ConnorAGE:20PO:1OV:79
Blake ColemanAGE:25PO:1OV:74
Sam GagnerAGE:27PO:1OV:74
*Anders BjorkAGE:20PO:1OV:66
Joakim NordstromAGE:24PO:1OV:65
Jacob JosefsonAGE:25PO:1OV:64
Kevin RoyAGE:23PO:1OV:61
*Blake SpeersAGE:20PO:1OV:54
Teuvo TeravainenAGE:22PO:1OV:81
Erik HaulaAGE:25PO:1OV:80
*Alex DeBrincatAGE:19PO:1OV:79
Kyle ConnorAGE:20PO:1OV:79
Sam GagnerAGE:27PO:1OV:74
Connor BrownAGE:22PO:1OV:74
Stefan NoesenAGE:23PO:1OV:73
Ales HemskyAGE:33PO:1OV:68
Anthony LouisAGE:21PO:1OV:56

Défense #1Défense #2Gardien
Brent BurnsAGE:31PO:1OV:88
Alex PietrangeloAGE:26PO:1OV:87
Dougie HamiltonAGE:23PO:1OV:84
Morgan RiellyAGE:22PO:1OV:84
Brayden McNabbAGE:25PO:1OV:80
Damon SeversonAGE:22PO:1OV:80
Brendan SmithAGE:27PO:1OV:73
Erik GustafssonAGE:28PO:1OV:72
Christian DjoosAGE:22PO:1OV:71
Anton LindholmAGE:22PO:1OV:69
Adam ClendeningAGE:24PO:1OV:64
David WarsofskyAGE:26PO:1OV:62
Julius BergmanAGE:21PO:1OV:59
Michael KostkaAGE:31PO:1OV:58
Kevin KleinAGE:32PO:1OV:56
*Ryan ManthaAGE:20PO:1OV:55
*James de HaasAGE:22PO:1OV:54
*Lucas JohansenAGE:18PO:1OV:53
Dylan BlujusAGE:22PO:1OV:53
Devan DubnykAGE:30PO:1OV:89
Calvin PickardAGE:24PO:1OV:75
Casey DeSmithAGE:25PO:1OV:70
Tom McCollumAGE:27PO:1OV:70
*Jake PatersonAGE:22PO:1OV:59

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Henri JokiharjuCarolina Hurricanes1329
Jack LafontaineCarolina Hurricanes12135
Jake KupskyCarolina Hurricanes11143
Jordan HollettCarolina Hurricanes13165
Jordan KyrouCarolina Hurricanes1239
Kale ClagueCarolina Hurricanes1248
Linus HogbergCarolina Hurricanes12144
Luke OpilkaCarolina Hurricanes11113
Matt FilipeCarolina Hurricanes12114
Matthew CairnsCarolina Hurricanes12139
Nicolas HagueCarolina Hurricanes1331
Oskar SteenCarolina Hurricanes12174
Rem PitlickCarolina Hurricanes1254
Skyler MckenzieCarolina Hurricanes13114
Stefan ElliottCarolina Hurricanes
Tate OlsonCarolina Hurricanes1196
Tyler SteenbergenCarolina Hurricanes1352
Tyler VeselCarolina Hurricanes10109

Choix au Repêchage

Année R1R2R3R4R5R6
14Car New Nas STL Car Car New Car Edm Car Pit
15Car Car STL Car Car Car
16Car Car Car Car Car Car
17Car Car Car Car Car Car
18Car Car Car Car Car Car



[2019-04-06 13:17:23] - Checkers didn't make playoff for year 13.
[2019-01-09 18:13:22] - TRADE : From New Jersey Devils to Carolina Hurricanes : Alex Pietrangelo (87), Y:14-RND:1-New, Y:14-RND:4-New.
[2019-01-09 18:13:22] - TRADE : From Carolina Hurricanes to New Jersey Devils : Erik Karlsson (88).
[2019-01-03 09:17:45] - TRADE : From Carolina Hurricanes to Vegas Golden Knights : Jordan Oesterle (71).
[2018-12-17 10:27:46] - TRADE : From Minnesota Wild to Carolina Hurricanes : Kyle Connor (79).
[2018-12-17 10:27:46] - TRADE : From Carolina Hurricanes to Minnesota Wild : Max Domi (77), Y:14-RND:3-VGK.
[2018-12-05 11:00:53] - TRADE : From Vegas Golden Knights to Carolina Hurricanes : Y:14-RND:3-VGK.
[2018-12-05 11:00:53] - TRADE : From Carolina Hurricanes to Vegas Golden Knights : Craig Anderson (79).
[2018-10-03 14:37:20] - TRADE : From Carolina Hurricanes to Calgary Flames : Bryan Little, Jonathan Bernier, Callan Foote (P), Y:14-RND:1-Bos, Y:15-RND:3-Car.
[2018-10-03 14:37:20] - TRADE : From Calgary Flames to Carolina Hurricanes : Devan Dubnyk, Max Domi.
[2018-09-29 10:50:17] - Team Name Change : Charlotte Checkers changed name to Checkers
[2018-09-29 10:36:21] - Team Name Change : Caroline Hurricanes changed name to Carolina Hurricanes
[2018-09-13 10:11:58] - A.J. White was added to Caroline Hurricanes.



[2019-04-13 09:12:38] Successfully loaded Carolina Hurricanes lines done with STHS Client - 3.1.6.6
[2019-04-05 08:45:57] Successfully loaded Carolina Hurricanes lines done with STHS Client - 3.1.6.6
[2019-03-30 11:23:38] Auto Lines Partial Function has been run for Carolina Hurricanes.
[2019-03-30 11:23:38] Auto Roster Partial Function has been run for Carolina Hurricanes.
[2019-03-29 04:58:00] Alex DeBrincat from Carolina Hurricanes is back from Left Foot Injury.
[2019-03-28 06:14:42] Game 1190 - Alex DeBrincat from Carolina Hurricanes is injured (Left Foot) and is out for 4 days.
[2019-03-19 05:23:47] Erik Haula from Carolina Hurricanes has scored a Hat Trick!
[2019-03-17 10:29:29] Successfully loaded Carolina Hurricanes lines done with STHS Client - 3.1.6.6
[2019-03-10 05:40:23] Successfully loaded Carolina Hurricanes lines done with STHS Client - 3.1.6.6
[2019-03-08 10:46:28] Successfully loaded Carolina Hurricanes lines done with STHS Client - 3.1.6.6



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1353200000131123120000067-1220000007436132235006520144454356015051469323521.74%23386.96%010220749.28%8118045.00%286543.08%12182114386333
Total Séries53200000131123120000067-1220000007436132235006520144454356015051469323521.74%23386.96%010220749.28%8118045.00%286543.08%12182114386333