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Meneurs d'équipe

Stats Équipe
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralVincent Tardif
EntraîneurMike Sullivan
DivisionAtlantic
ConférenceEastern
CapitaineVictor Hedman
Assistant #1
Assistant #2Artemi Panarin
Uniformes
Informations de l’aréna
NomPresidential Palace
Capacité25,000
Assistance
Billets de saison10,000
Information formation
Équipe Pro17
Équipe Mineure30
Limite contact 47 / 50
Espoirs13
Plafond salarial
Cap Salarial de la Saison estimé0$
Plafond salarial disponible90,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial12
Finance
Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel184,948,608$
Compte bancaire projeté184,948,608$
Historique d'équipe
Saison actuelle0-0-0 (0PTS)
Historique957-550-122 (0.587%)
Apparitions séries éliminatoires 16
Historique séries éliminatoires (W-L)130-95
Stanley Cup3


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
1David PastrnakX100.00574880996189999840999370648085502082028310,778,000$
2Brayden PointX100.0048448898478796898483956983808450207902819,000,000$
3Vincent TrocheckX100.0099497990539099759473769677868835267903115,250,000$
4Jason RobertsonX100.00575386907184998540858568977479652077025110,458,000$
5Dylan GuentherX100.005847839059839180407982694066758520730211925,000$
6Jordan StaalX100.0083578679798094659065648140968810207203611,250,000$
7Noel AcciariX100.0093508676647797518947558240908425206603321,100,000$
8Logan StankovenX100.005438858740809665806565664066738520660212925,000$
9Victor Hedman (C)X100.0052678284988897834093738269929020207903439,228,000$
10Travis SanheimX100.0064588077809199624062629540808650207602824,500,000$
11Andrew PeekeX100.0072578675748195544057527540767960206902623,250,000$
Rayé
1Artemi Panarin (A)X100.0045438698508798914093886499908925207903300$
2Carter VerhaegheX100.0067467986578498724073706340828345207002900$
3Yegor ChinakhovX100.0077508783648164664062696180707675206602300$
4Mario FerraroX100.0085587678668596554053588840768160207302600$
Équipe Mineure
1Michael McCarronX100.0087896275897794538950568040828045206602911,000,000$
2Nick CousinsX100.008048748152747757405560666986803520630312850,000$
3Amadeus LombardiX100.004340858448605062705965507366638520590212925,000$
4Danil GushchinX100.005238807840755148404750654068728020560221925,000$
5Thomas BordeleauX100.005040777945685851405349574068688020560221925,000$
6Samu TuomaalaX100.005052778047605054405750509966638520560212925,000$
7Michal TeplyX100.007366877561605042404144558070657520530232850,000$
8Emil AndraeX100.006643827950797252405253774068748020650221925,000$
9Jake BeanX100.0048478875597587504046547440767660206402621,418,000$
10Zac JonesX100.0054458080547975554058537040727670206402411,250,000$
11Stanislav SvozilX100.005553777557676242404638574066678520570212925,000$
12Jonatan BerggrenX100.0053478681587694584053636140727470206202400$
13Rasmus KupariX100.0071518575667283518844576740727270206102400$
14Oliver WahlstromX100.0059667375687272514046566571727270205902400$
15Danila KlimovichX100.0061547275667464494036626540667085205802100$
16Simon Robertsson (R)X100.006349818758605046404249694066638520560213925,000$
17Matthew StromeX100.0079677575726858404038435740747165205402500$
18Oskar OlaussonX100.005347817553706042404045619068698020540221925,000$
19Eduard Sale (R)X100.005342858948605042404440664062619522540193925,000$
20Lucas ElvenesX100.0055568478506050537045445040746765205302511,000,000$
21Brayden TraceyX100.0059607875566050444044435140706575205202300$
22Zach DeanX100.004844867552605040404237654066638520520212925,000$
23Ryder KorczakX100.005054837545605039403839614068648020510222925,000$
24Jack Peart (R)X100.006451788659575231402932604066628520560213925,000$
25Lassi ThomsonX100.0074467375595550404038415040726470205502400$
26Aleksi Heimosalmi (R)X100.004942819144605537403341504066638520540213925,000$
27Dmitry KuzminX100.004747817555555033403037544066618520520212925,000$
MOYENNE D’ÉQUIPE100.00625181815973735649555766537473662063
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
1Calvin Pickard100.008974728973757471757660888230207603231,350,000$
Rayé
1Jake Oettinger100.008699999983818282848094767960208302600$
Équipe Mineure
1Jack Campbell100.008150609350505050505040886930205903211,475,000$
2Mads Sogaard100.00775060975050505050507672617020580242925,000$
3Arvid Soderblom100.007873778777767575787570747565207502500$
MOYENNE D’ÉQUIPE100.0082697493676666666766688073512070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan80708195928756USA5715,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Andrew PeekeRedWingsD261998-03-17No214 Lbs6 ft3NoNoYes2Pro & Farm3,250,000$3,250,000$3,250,000$No3,250,000$
UFA
Lien / Lien NHL
Artemi PanarinRedWingsLW331991-10-30No177 Lbs6 ft0NoNoYes0Pro Only
UFA
0$0$NoLien / Lien NHL
Brayden PointRedWingsC281996-03-13No175 Lbs5 ft11NoNoYes1Pro Only9,000,000$9,000,000$9,000,000$No
UFA
Lien / Lien NHL
Calvin PickardRedWingsG321992-04-15No208 Lbs6 ft1YesNoNo3Pro & Farm1,350,000$1,350,000$1,350,000$No1,350,000$1,350,000$
UFA
Lien / Lien NHL
Carter VerhaegheRedWingsC291995-08-14No183 Lbs6 ft2NoNoYes0Pro & Farm
UFA
0$0$NoLien / Lien NHL
David PastrnakRedWingsRW281996-05-25No200 Lbs6 ft0NoNoYes3Pro Only10,778,000$10,778,000$10,778,000$No10,778,000$10,778,000$
UFA
Lien / Lien NHL
Dylan GuentherRedWingsRW212003-04-10No191 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$925,000$No
RFA
Lien / Lien NHL
Jake OettingerRedWingsG261998-12-18No205 Lbs6 ft5NoNoYes0Pro & Farm
RFA
0$0$NoLien / Lien NHL
Jason RobertsonRedWingsLW251999-07-22No207 Lbs6 ft3NoNoYes1Pro Only10,458,000$10,458,000$10,458,000$No
RFA
Lien / Lien NHL
Jordan StaalRedWingsC361988-09-10No220 Lbs6 ft4NoNoNo1Pro & Farm1,250,000$1,250,000$1,250,000$No
UFA
Lien / Lien NHL
Logan StankovenRedWingsC212003-02-26No165 Lbs5 ft8NoNoNo2Pro & Farm925,000$925,000$925,000$No925,000$
RFA
Lien / Lien NHL
Mario FerraroRedWingsD261998-09-17No209 Lbs6 ft0NoNoYes0Pro & Farm
RFA
0$0$NoLien / Lien NHL
Noel AcciariRedWingsC331991-12-01No209 Lbs5 ft11YesNoNo2Pro & Farm1,100,000$1,100,000$1,100,000$No1,100,000$
UFA
Lien / Lien NHL
Travis SanheimRedWingsD281996-03-29No222 Lbs6 ft4NoNoYes2Pro & Farm4,500,000$4,500,000$4,500,000$No4,500,000$
UFA
Lien / Lien NHL
Victor HedmanRedWingsD341990-12-18No245 Lbs6 ft7NoNoYes3Pro Only9,228,000$9,228,000$9,228,000$No9,228,000$9,228,000$
UFA
Lien / Lien NHL
Vincent TrocheckRedWingsC311993-07-11No188 Lbs5 ft11NoNoYes1Pro Only5,250,000$5,250,000$5,250,000$No
UFA
Lien / Lien NHL
Yegor ChinakhovRedWingsRW232001-02-01No201 Lbs6 ft1NoNoNo0Pro & Farm
RFA
0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1728.24201 Lbs6 ft11.293,412,588$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
58,014,000$31,131,000$21,356,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jason RobertsonBrayden PointDavid Pastrnak40032
230032
3Logan StankovenDylan Guenther20041
4Noel AcciariJordan Staal10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanTravis Sanheim40041
230041
3Andrew Peeke20131
4Victor HedmanTravis Sanheim10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brayden PointDavid Pastrnak60014
2Jason Robertson40014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanTravis Sanheim60014
240014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jordan StaalNoel Acciari60041
2Dylan Guenther40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis Sanheim60041
2Victor Hedman40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jordan Staal60050Travis Sanheim60050
240050Victor Hedman40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1David Pastrnak60122
2Brayden PointJason Robertson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanTravis Sanheim60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brayden PointDavid PastrnakVictor HedmanTravis Sanheim
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noel AcciariDylan GuentherTravis Sanheim
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
David Pastrnak, Brayden Point, Jason RobertsonJason Robertson, Jordan Staal
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Andrew Peeke, Andrew Peeke,
Tirs de pénalité
, David Pastrnak, Brayden Point, Jason Robertson,
Gardien
#1 : , #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
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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


Charte de profondeur
Ailier gaucheCentreAilier droit
Artemi Panarin
Artemi Panarin
AGE:33
SK:98
EN:87
DU:98
PH:91
PA:93
SC:88
DF:64
Jason Robertson
Jason Robertson
AGE:25
SK:90
EN:84
DU:99
PH:85
PA:85
SC:85
DF:68
Samu Tuomaala
Samu Tuomaala
AGE:21
SK:80
EN:60
DU:50
PH:54
PA:57
SC:50
DF:50
Simon Robertsson (R)
Simon Robertsson
AGE:21
SK:87
EN:60
DU:50
PH:46
PA:42
SC:49
DF:69
Danil Gushchin
Danil Gushchin
AGE:22
SK:78
EN:75
DU:51
PH:48
PA:47
SC:50
DF:65
Eduard Sale (R)
Eduard Sale
AGE:19
SK:89
EN:60
DU:50
PH:42
PA:44
SC:40
DF:66
Oskar Olausson
Oskar Olausson
AGE:22
SK:75
EN:70
DU:60
PH:42
PA:40
SC:45
DF:61
Matthew Strome
Matthew Strome
AGE:25
SK:75
EN:68
DU:58
PH:40
PA:38
SC:43
DF:57
Zach Dean
Zach Dean
AGE:21
SK:75
EN:60
DU:50
PH:40
PA:42
SC:37
DF:65
Brayden Tracey
Brayden Tracey
AGE:23
SK:75
EN:60
DU:50
PH:44
PA:44
SC:43
DF:51
Ryder Korczak
Ryder Korczak
AGE:22
SK:75
EN:60
DU:50
PH:39
PA:38
SC:39
DF:61
Brayden Point
Brayden Point
AGE:28
SK:98
EN:87
DU:96
PH:89
PA:83
SC:95
DF:69
Vincent Trocheck
Vincent Trocheck
AGE:31
SK:90
EN:90
DU:99
PH:75
PA:73
SC:76
DF:96
Jordan Staal
Jordan Staal
AGE:36
SK:79
EN:80
DU:94
PH:65
PA:65
SC:64
DF:81
Carter Verhaeghe
Carter Verhaeghe
AGE:29
SK:86
EN:84
DU:98
PH:72
PA:73
SC:70
DF:63
Logan Stankoven
Logan Stankoven
AGE:21
SK:87
EN:80
DU:96
PH:65
PA:65
SC:65
DF:66
Michael McCarron
Michael McCarron
AGE:29
SK:75
EN:77
DU:94
PH:53
PA:50
SC:56
DF:80
Noel Acciari
Noel Acciari
AGE:33
SK:76
EN:77
DU:97
PH:51
PA:47
SC:55
DF:82
Nick Cousins
Nick Cousins
AGE:31
SK:81
EN:74
DU:77
PH:57
PA:55
SC:60
DF:66
Rasmus Kupari
Rasmus Kupari
AGE:24
SK:75
EN:72
DU:83
PH:51
PA:44
SC:57
DF:67
Amadeus Lombardi
Amadeus Lombardi
AGE:21
SK:84
EN:60
DU:50
PH:62
PA:59
SC:65
DF:50
Thomas Bordeleau
Thomas Bordeleau
AGE:22
SK:79
EN:68
DU:58
PH:51
PA:53
SC:49
DF:57
Lucas Elvenes
Lucas Elvenes
AGE:25
SK:78
EN:60
DU:50
PH:53
PA:45
SC:44
DF:50
David Pastrnak
David Pastrnak
AGE:28
SK:99
EN:89
DU:99
PH:98
PA:99
SC:93
DF:70
Dylan Guenther
Dylan Guenther
AGE:21
SK:90
EN:83
DU:91
PH:80
PA:79
SC:82
DF:69
Yegor Chinakhov
Yegor Chinakhov
AGE:23
SK:83
EN:81
DU:64
PH:66
PA:62
SC:69
DF:61
Jonatan Berggren
Jonatan Berggren
AGE:24
SK:81
EN:76
DU:94
PH:58
PA:53
SC:63
DF:61
Oliver Wahlstrom
Oliver Wahlstrom
AGE:24
SK:75
EN:72
DU:72
PH:51
PA:46
SC:56
DF:65
Danila Klimovich
Danila Klimovich
AGE:21
SK:75
EN:74
DU:64
PH:49
PA:36
SC:62
DF:65
Michal Teply
Michal Teply
AGE:23
SK:75
EN:60
DU:50
PH:42
PA:41
SC:44
DF:55

Défense #1Défense #2Gardien
Victor Hedman
Victor Hedman
AGE:34
SK:84
EN:88
DU:97
PH:83
PA:93
SC:73
DF:82
Travis Sanheim
Travis Sanheim
AGE:28
SK:77
EN:91
DU:99
PH:62
PA:62
SC:62
DF:95
Mario Ferraro
Mario Ferraro
AGE:26
SK:78
EN:85
DU:96
PH:55
PA:53
SC:58
DF:88
Andrew Peeke
Andrew Peeke
AGE:26
SK:75
EN:81
DU:95
PH:54
PA:57
SC:52
DF:75
Emil Andrae
Emil Andrae
AGE:22
SK:79
EN:79
DU:72
PH:52
PA:52
SC:53
DF:77
Zac Jones
Zac Jones
AGE:24
SK:80
EN:79
DU:75
PH:55
PA:58
SC:53
DF:70
Jake Bean
Jake Bean
AGE:26
SK:75
EN:75
DU:87
PH:50
PA:46
SC:54
DF:74
Stanislav Svozil
Stanislav Svozil
AGE:21
SK:75
EN:67
DU:62
PH:42
PA:46
SC:38
DF:57
Jack Peart (R)
Jack Peart
AGE:21
SK:86
EN:57
DU:52
PH:31
PA:29
SC:32
DF:60
Lassi Thomson
Lassi Thomson
AGE:24
SK:75
EN:55
DU:50
PH:40
PA:38
SC:41
DF:50
Aleksi Heimosalmi (R)
Aleksi Heimosalmi
AGE:21
SK:91
EN:60
DU:55
PH:37
PA:33
SC:41
DF:50
Dmitry Kuzmin
Dmitry Kuzmin
AGE:21
SK:75
EN:55
DU:50
PH:33
PA:30
SC:37
DF:54
Jake Oettinger
Jake Oettinger
AGE:26
SK:86
AG:83
RB:81
SC:82
HS:82
RT:84
DF:80
Calvin Pickard
Calvin Pickard
AGE:32
SK:89
AG:73
RB:75
SC:74
HS:71
RT:75
DF:76
Arvid Soderblom
Arvid Soderblom
AGE:25
SK:78
AG:77
RB:76
SC:75
HS:75
RT:78
DF:75
Jack Campbell
Jack Campbell
AGE:32
SK:81
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Mads Sogaard
Mads Sogaard
AGE:24
SK:77
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Espoirs
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Aron KiviharjuRedWings203856
Ayrton MartinoRedWings203545
Beau AkeyRedWings203774
Benjamin GaudreauRedWings203549
Cole HutsonRedWings203820
Denis SmirnovRedWings2031132
Evan NauseRedWings203554
Jimmy SnuggerudRedWings203641
Marcus DavidssonRedWings203147
Sean BehrensRedWings203570
Tomas VomackaRedWings2031192
Tristan BrozRedWings203561
Tristan LennoxRedWings203573

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2039
2040
2041
2042



RedWings Leaders statistiques (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
1Claude Giroux7513145869002232156162281256812.23%1811693722.5588217305611561170401653.86%81.061061
2Steven Stamkos76439446185523645211051445333111.83%1961729422.64100159259758981779702251.50%140.991041
3Alex Tanguay1542259426685-26417211954196727549.40%9212514316.315395148294571278281847.34%10.54535
4Andrew Ladd82023335759016679515591130221710.51%1711511118.43501111614454484940937.86%20.781132
5David Pastrnak485231358589186337993788193811.92%451039621.44561351914782242130733.21%81.13830

RedWings 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
1Henrik Lundqvist617369194430.9022.91362941072117581801718663080.806237
2Darcy Kuemper18410857160.9022.8710868207520531201020.67978
3Jake Oettinger137873990.8972.9779958739638400620.90030
4Jaroslav Halak128655180.9033.0174028537138410440.81833
5Igor Shesterkin76502320.9112.2945034517219410610.0000

RedWings 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
Saison régulière
201782244103329243318-7541111903206119151-3241132200123124167-4357243405648110619681259708438858552714905164318562875218.12%3086479.22%51014208148.73%854184046.41%679149945.30%170396519568491495714
201882214902325201284-8341132500111103141-38418240221498143-4549201331532020528758251207789118082606869135919761913116.23%2866079.02%6962200647.96%832171248.60%632134347.06%1790104517007431472717
201982422303545269225444125100221113497374117130133413512879526943770601073979225790850843856261386592718612414016.60%1562583.97%4995201749.33%970205047.32%612123349.64%1809104516907331485757
202082343003411025623422411516032501271121541191400260129122778256396652100837584256908478268742559889112818322413514.52%2063782.04%41124210853.32%1086211251.42%625121851.31%1836107416747281474751
2021824522024543292428741221100323161126354123110213116811652983295729010401061111052810087295095123877221079197246010723.26%4697384.43%41768328453.84%1515295851.22%729134954.04%2094146718666021017523
202282492403033314240744124120102214111427412512020111731264710431455586935011410589280209029549272410700120219734329822.69%4979281.49%41726326952.80%1623304253.35%709134152.87%2039140918896171024514
202382413400142275237384120180012014211725412116000221331201383275499774150878995261408198569232346656118619614299622.38%50910180.16%41659308953.71%1510289352.19%680127253.46%2095146918485941008510
202482422501482322258644121120114216714126412113003401551173810832256688814012098952756091594987623917251253192744511225.17%50510080.20%51754316655.40%1541293152.58%698135051.70%2084145318616051030521
202582512402212339253864125130120016012238412611010121791314811233961795601012897111304701042962103225557601274198642511226.35%5279282.54%61768329953.59%1602304652.59%738138353.36%1992137019286041025517
202682353202148269270-141191300045144140441161902103125130-591269479748220898688274309158938982520762123720133978120.40%4849480.58%41654313952.69%1579301452.39%671130551.42%2027140019256151033514
202782333801541253272-1941161901230127138-1141171900311126134-882253459712430838580246208147918412640722108018914427116.06%4629779.00%21446284850.77%1494307148.65%614129947.27%200113961961606998496
203082333503146281267144119160201314513114411419011331361360872814927731307990105266108698509232528749102219224197718.38%4568182.24%51572308051.04%1454291249.93%648131749.20%1992136319486221035519
2031823725012116258221374117130016412211012412012011521361112510625844270015091857025810879869794238277292718034198119.33%3896882.52%41537306450.16%1479295150.12%643128849.92%2085145618866151041528
2032825317013713422341084126900231167126414127801140175108671263425869282301261198929940977994996231265497117124558518.68%3987680.90%61799334953.72%1463278952.46%726133154.55%2159154017955971016517
203382412405534295247484121100341215911742412014021221361306107295528823260113948028140953876944231967683316254719219.53%3748078.61%41690320552.73%1409275551.14%680131051.91%2162153918115941005522
2034824818043633182259341251002022156102544123802341162123391223185668841401121039328040962926888231165684717464208820.95%3486581.32%31725310755.52%1446281551.37%660128151.52%2140153018265881012516
203582442101151032624878412490002616611254412012011341601362411132657690203011911289288708791005968238966885516844259021.18%3475883.29%51716315454.41%1461283651.52%757138354.74%2137152118275881033530
20368247270231229123952412015013111511262541271201001140113271052915178081501038410126510895880863234675681916504269522.30%3476082.71%31522296951.26%1305280746.49%653133648.88%2098149518335851013519
20378252170352333223993412670331116411054412610002121681293912233259893023128111887275790288493750233870284116434418920.18%3507080.00%81532301250.86%1375275849.85%630133047.37%2109149818315931021521
2038825324031013202378341261301100164113514127110200115612432114320583903041228910632822933898981132344731895172544110423.58%3686582.34%21569309350.73%1375275949.84%634132747.78%2074146418465911012516
Total Saison régulière16408255500455687775833499084382041527002430414029192446473820410280021264637291425443701957583310204160372364250193919071615544621835177931813816280490101493921378367587907163620.69%7786145881.27%88305325833952.34%273735405150.64%134182649550.64%404342750936909126782225811229
Séries éliminatoires
20191798000004947285300000212109450000028262184981130000141716557015917819456218716137239410.26%20290.00%119241446.38%20944846.65%11326742.32%366218390149297151
20201257000002732-5725000001218-6532000001514110274572210108936101321101193981351522583339.09%22290.91%015429851.68%14730548.20%8016149.69%255145255105209108
2021221660000097702712930000057381910730000040328329717627300037302773902592172416911953285301252721.60%1232877.24%345484153.98%44288549.94%19137750.66%572407525165276140
202222166000009872261055000003940-11211100000593227329818228001036352279002402662417422102925991262822.22%1252877.60%043990848.35%42886749.37%19138949.10%574393550175297154
20231266000004044-46330000021210633000001923-4124074114000141583740111112104438117238334661116.67%741283.78%122145948.15%26251151.27%11421154.03%3162163309916582
202414860000053494743000002724374300000262511653981511002415124170141121132516161332325681116.18%1202083.33%026449952.91%27459745.90%13925255.16%35524236110918189
2025734000002530-5312000001214-2422000001316-36254368100986257079787827068107191291034.48%441272.73%115430051.33%16429355.97%7613755.47%174118182549246
2026734000002529-43120000012120422000001317-462546710001186237070699728193107197361027.78%401465.00%013426949.81%15831949.53%5811948.74%163112172528642
203125151000000898721385000005443111275000003544-9308916225100024313185602202663227572303485371452718.62%1442979.86%154699255.04%46891850.98%23443653.67%634437621200331164
2032844000002622442200000141314220000012938265076120610102640658810322264981823837.89%38684.21%017633652.38%14327152.77%7212557.60%203141191569548
203321165000007753249810000040192112840000037343327713821503029173066502192012405861811994071131715.04%921781.52%138779648.62%35271749.09%17435848.60%527374478150259132
20341266000003537-2633000001820-263300000171701235629700011131133308611412841112314725847817.02%621083.87%021940054.75%23646251.08%11720158.21%2801943119014973
2035624000002024-4312000001213-131200000811-3420375700038817704757692006610411734617.65%441272.73%114022861.40%12725150.60%6212250.82%150105145437436
20361810800000655510853000002620610550000039354206511718211022251657002091641805151621883891002020.00%771383.12%132965750.08%33063851.72%14328949.48%444311439136223110
2037116500000322846330000015132532000001715212325082018101403491251221020304101127268581118.97%55983.64%021744848.44%16435745.94%6215041.33%2641802617913367
203811560000044431523000002021-16330000024222104482126001717100349991301173379120137243551323.64%551474.55%019239448.73%21141550.84%9219247.92%2571762718213667
Total Séries éliminatoires225130950000080272280110624800000400350501156847000004023723026080214432245692527726421272952242289226022517272221330655207111220918.79%113522879.91%104218823951.20%4115825449.85%1918378650.66%554137755487175230101514

RedWings Leaders statistiques (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
1Claude Giroux108559014526506432438614.25%30247622.9314365094022810350.75%21.1700
2Steven Stamkos1115677133298320319544212.67%25243821.971817359201108446.65%01.0900
3Kristopher Letang11022851074891462052458.98%190283025.731328411380221200.00%00.7600
4Andrew Ladd101374885298618814929712.46%28196019.4298174110176238.36%10.8700
5Jamie Benn99235578161322041512429.50%25204420.65416207010164247.73%00.7600

RedWings 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
1Henrik Lundqvist108643860.9053.0967801023493690376340.0000
2Darcy Kuemper3322810.9102.67191083859470000.0000
3Andrei Vasilevskiy2212730.8783.53125980746060200.0000
4Igor Shesterkin1810610.8952.92104801514840110.0000
5Jake Oettinger157700.8953.0086001434100000.0000