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Centre de jeu
RedWings
46-17-4, 96pts
3
FINAL
2 Hurricanes
54-12-1, 109pts
Team Stats
L1StreakW1
22-7-4Home Record25-8-1
24-10-0Away Record29-4-0
7-2-1Last 10 Games7-2-1
4.27Goals Per Game4.22
3.16Goals Against Per Game2.42
23.97%Power Play Percentage21.01%
82.69%Penalty Kill Percentage82.68%
Rangers
40-21-6, 86pts
4
FINAL
3 RedWings
46-17-4, 96pts
Team Stats
W4StreakL1
21-12-0Home Record22-7-4
19-9-6Away Record24-10-0
7-3-0Last 10 Games7-2-1
3.24Goals Per Game4.27
2.72Goals Against Per Game3.16
20.43%Power Play Percentage23.97%
88.19%Penalty Kill Percentage82.69%
Canucks
37-27-2, 76pts
Jour 144
RedWings
46-17-4, 96pts
Stats Équipe
W1SéquenceL1
20-12-2Fiche domicile22-7-4
17-15-0Fiche visiteur24-10-0
5-5-010 derniers matchs7-2-1
3.94Buts par match 4.27
3.14Buts contre par match 3.16
23.45%Pourcentage en avantage numérique23.97%
78.95%Pourcentage en désavantage numérique82.69%
Oilers
41-20-6, 88pts
Jour 147
RedWings
46-17-4, 96pts
Stats Équipe
OTW1SéquenceL1
24-9-2Fiche domicile22-7-4
17-11-4Fiche visiteur24-10-0
9-0-110 derniers matchs7-2-1
3.36Buts par match 4.27
2.57Buts contre par match 3.16
19.00%Pourcentage en avantage numérique23.97%
83.51%Pourcentage en désavantage numérique82.69%
Devils
38-24-7, 83pts
Jour 149
RedWings
46-17-4, 96pts
Stats Équipe
W3SéquenceL1
19-11-4Fiche domicile22-7-4
19-13-3Fiche visiteur24-10-0
6-3-110 derniers matchs7-2-1
3.49Buts par match 4.27
3.13Buts contre par match 3.16
19.45%Pourcentage en avantage numérique23.97%
82.76%Pourcentage en désavantage numérique82.69%
Meneurs d'équipe
Brayden PointButs
Brayden Point
40
John CarlsonPasses
John Carlson
61
Brayden PointPoints
Brayden Point
94
Brayden PointPlus/Moins
Brayden Point
42
Cameron TalbotVictoires
Cameron Talbot
37
Leevi MerilainenPourcentage d’arrêts
Leevi Merilainen
0.904

Stats Équipe
Buts pour
286
4.27 GFG
Tirs pour
2179
32.52 Avg
Pourcentage en avantage numérique
24.0%
76 GF
Début de zone offensive
41.3%
Buts contre
212
3.16 GAA
Tirs contre
1970
29.40 Avg
Pourcentage en désavantage numérique
82.7%
54 GA
Début de la zone défensive
38.6%

Blessure/Suspension
Leevi Merilainen


Leevi Merilainen

est dehors pour 6 jours à cause de Torso Injury.
Information d’équipe
Directeur généralVincent Tardif
EntraîneurMike Sullivan
DivisionAtlantic
ConférenceEastern
CapitaineVictor Hedman
Assistant #1
Assistant #2
Uniformes
Informations de l’aréna
NomPresidential Palace
Capacité25,000
Assistance17,006
Billets de saison10,000
Information formation
Équipe Pro23
Équipe Mineure24
Limite contact 47 / 50
Espoirs16
Plafond salarial
Cap Salarial de la Saison estimé84,856,442$
Plafond salarial disponible5,143,558$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22
Finance
Revenu annuel à ce jour59,914,850$
Dépenses annuelles à ce jour71,762,631$
Revenus de la saison estimés14,524,812$
Dépenses de la saison estimées18,093,810$
Compte bancaire actuel171,100,426$
Compte bancaire projeté167,044,804$
Historique d'équipe
Saison actuelle46-17-4 (96PTS)
Historique1003-567-128 (0.591%)
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 PastrnakX100.0057488099618999984099937064808550798302931$
2Robert ThomasX100.0044508496658891929099758069748165758002638,000,000$
3Brayden PointX100.0048448898478796898483956983808450807902919,000,000$
4Matthew TkachukX100.0078516994668579904095856375788255807902817,200,000$
5Jason RobertsonX100.00575386907184998540858568977479658078026110,458,000$
6Dylan StromeX100.0047508292658499868993796759788155747802877,250,000$
7Dylan GuentherX100.005847839059839180407982694066758580740221925,000$
8Jordan StaalX100.0083578679798094659065648140968810807203711,250,000$
9Pavel DorofeyevX100.0048488386608299714057856853727770597002521,750,000$
10Matt CoronatoX100.005145848849849670786476714068768044700232925,000$
11Noel AcciariX100.0093508676647797518947558240908425806703421,100,000$
12Jackson Blake (R)X100.004642838448789862405767684066728568650223925,000$
13Victor Hedman (C)X100.0052678284988897834093738269929020798003539,228,000$
14John CarlsonX100.0055568484778997734088589167929120667903527,878,000$
15Tyler MyersX100.0069676975928492614061609065928820797603523,500,000$
16Mario FerraroX100.0085587678668596554053588840768160807402744,478,000$
17Jani HakanpaaX100.0099648075865550534053548240887230416903312,978,000$
18Emil AndraeX100.006643827950797252405253774068748054660231925,000$
Rayé
1Marcus JohanssonX100.0056508782658292644066636551928720266803522,000,000$
2Ethen Frank (R)X100.005144858153726057405064714076746051620273750,000$
Équipe Mineure
1Jonatan BerggrenX100.005347868158769458405363614072747048630251908,000$
2Fedor SvechkovX100.005445858055767958725463644066718558620222925,000$
3Nate Danielson (R)X100.006349818758807048705144649764729031600213925,000$
4Amadeus LombardiX100.004340858448605062705965507366638554590222925,000$
5Danila KlimovichX100.0061547275667464494036626540667085555802211,018,000$
6Owen Beck (R)X100.008548907561715148894750644064689060580213925,000$
7Simon Robertsson (R)X100.006349818758605046404249694066638554570223925,000$
8Danil GushchinX100.005238807840755148404750654068728054560231925,000$
9Lucas ElvenesX100.0055568478506050537045445040746765555402611,000,000$
10Zac JonesX100.0054458080547975554058537040727670546502511,250,000$
11Jeremy DaviesX100.005642788052767155406249694080785054640291575,000$
12Jack AhcanX100.005270847946736851406339669078765549620283575,000$
13Stanislav SvozilX100.005553777557676242404638574066678555570222925,000$
14Jack Peart (R)X100.006451788659575231402932604066628530560223925,000$
15Lassi ThomsonX100.0074467375595550404038415040726470315502511,120,000$
16Aleksi Heimosalmi (R)X100.004942819144605537403341504066638530540223925,000$
17Matthew StromeX100.0079677575726858404038435740747165205402611,232,000$
18Michal TeplyX100.007366877561605042404144558070657520530242850,000$
19Brayden TraceyX100.0059607875566050444044435140706575205202411,120,000$
20Ryder KorczakX100.005054837545605039403839614068648020510232925,000$
21Dmitry KuzminX100.004747817555555033403037544066618519520222925,000$
MOYENNE D’ÉQUIPE100.00615181826074745951585967527474645465
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
1Cameron Talbot100.00868791938379807879818398895688303823,500,000$
2Philipp Grubauer100.008562628560565760616090907325296503423,000,000$
Rayé
1Leevi Merilainen89.57875060888583878485869968768015790232925,000$
Équipe Mineure
1Calvin Pickard100.008974728973757471757660888230717603331,350,000$
2Ken Appleby100.00755060946060606161589982714570650301575,000$
3Mads Sogaard100.00775060975050505050507672617020580252925,000$
MOYENNE D’ÉQUIPE98.1783626891696768676969858375434671
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
1Brayden PointRedWingsC674054944260301912796220914.34%8145921.78817256426612371075152.54%196600031.2914000685
2Matthew TkachukRedWingsLW673942813313402961082436217716.05%6144321.5571421472650111946327.03%18500001.12140008103
3John CarlsonRedWingsD6814617583608895101297613.86%105171825.28101828652780001279000.00%000100.8700000242
4David PastrnakRedWingsRW6635367124280791302656917013.21%4133420.22171229742620003933232.49%31700011.0604000433
5Robert ThomasRedWingsC6520496932023160209531189.57%16126519.47820286423600031585154.18%148400001.0900000541
6Victor HedmanRedWingsD671553681786209186110366313.64%86159023.7492130582691011139400.00%000000.8600112421
7Dylan StromeRedWingsRW671833511880461021684811910.71%6119117.79358302080000173254.78%38700000.8612000416
8Jason RobertsonRedWingsLW672129501330086841924914410.94%4117517.546915522470000341032.95%8800000.8512000243
9Dylan GuentherRedWingsRW67222547-620031801664213913.25%987813.1124616790113602231.75%6300011.0700000422
10Tyler MyersRedWingsD67926352410151187374264312.16%98133819.98156211390001226300.00%000000.5200001103
11Pavel DorofeyevRedWingsLW66181634-81202480191431119.42%12113417.18571235220000004243.82%8900000.6015000021
12Jordan StaalRedWingsC67101828-146011413788326411.36%1586212.870003801121891056.69%111300100.6500000113
13Mario FerraroRedWingsD671116271210201724458254518.97%86118017.6321317880110192300.00%000000.4600000033
14Matt CoronatoRedWingsC6681220-12085913938985.76%968910.45000020002500051.24%12100000.5801000000
15Marcus JohanssonRedWingsLW6111617-19240285473165415.07%886414.1831410851123452238.89%7200000.3900000200
16Noel AcciariRedWingsLW6786149300584037193321.62%86179.210000031451961058.29%18700000.4500000110
17Jani HakanpaaRedWingsD44347675595111871416.67%3152511.9500012000042000.00%000000.2700001110
18Ethen FrankRedWingsLW26415-20029163625.00%41927.41000000000451157.14%700000.5200000010
19Jackson BlakeRedWingsRW51235-600321325276.25%23787.4300000000000120.00%2000000.2600000001
20Emil AndraeRedWingsD4011-100020100.00%85513.890000000002000.00%000000.3600000000
21Jonatan BerggrenEagles (Det)RW1000000002000.00%044.630000000000000.00%100000.0000000000
22Fedor SvechkovEagles (Det)C1000000001000.00%033.7000000000000066.67%600000.0000000000
Statistiques d’équipe totales ou en moyenne118930849179916574230139215662462665171012.51%5251990716.748113421555726626814321978441751.29%610600250.80522114454737
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
1Cameron TalbotRedWings59371840.8923.1833442217716360210.750165611210
2Leevi MerilainenRedWings176510.9043.0488700454710010.66731524002
3Philipp GrubauerRedWings111400.8695.7647900463510110.0000654000
Statistiques d’équipe totales ou en moyenne87442750.8913.4147112226824580330.737197789212


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
Brayden PointRedWingsC291996-03-13No175 Lbs5 ft11NoNoYes1Pro Only9,000,000$9,000,000$1,769,663$No
UFA
Lien / Lien NHL
Cameron TalbotRedWingsG381987-07-05No200 Lbs6 ft3NoNoYes2Pro & Farm3,500,000$3,500,000$688,202$No3,500,000$
UFA
Lien / Lien NHL
David PastrnakRedWingsRW291996-05-25No200 Lbs6 ft0YesNoYes3Pro Only1$1$0$No10,778,000$10,778,000$
UFA
Lien / Lien NHL
Dylan GuentherRedWingsRW222003-04-10No191 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$181,882$No
RFA
Lien / Lien NHL
Dylan StromeRedWingsRW281997-03-07No196 Lbs6 ft3NoNoYes7Pro Only7,250,000$7,250,000$1,425,562$No7,250,000$7,250,000$7,250,000$7,250,000$7,250,000$7,250,000$
UFA
Lien / Lien NHL
Emil AndraeRedWingsD232002-02-23No189 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$181,882$No
RFA
Lien / Lien NHL
Ethen FrankRedWingsLW271998-02-05Yes188 Lbs5 ft11NoNoNo3Pro & Farm750,000$750,000$147,472$No750,000$750,000$
UFA
Lien / Lien NHL
Jackson BlakeRedWingsRW222003-08-03Yes178 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$181,882$No925,000$925,000$
RFA
Lien / Lien NHL
Jani HakanpaaRedWingsD331992-03-31No222 Lbs6 ft7YesNoYes1Pro & Farm2,978,000$2,978,000$585,562$No
UFA
Lien / Lien NHL
Jason RobertsonRedWingsLW261999-07-22No207 Lbs6 ft3NoNoYes1Pro Only10,458,000$10,458,000$2,056,348$No
RFA
Lien / Lien NHL
John CarlsonRedWingsD351990-01-10No220 Lbs6 ft3NoNoYes2Pro Only7,878,000$7,878,000$1,549,045$No7,878,000$
UFA
Lien / Lien NHL
Jordan StaalRedWingsC371988-09-10No220 Lbs6 ft4NoNoNo1Pro & Farm1,250,000$1,250,000$245,787$No
UFA
Lien / Lien NHL
Leevi Merilainen (sur la masse salariale)RedWingsG232002-08-13No180 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$181,882$No925,000$
RFA
Lien / Lien NHL
Marcus JohanssonRedWingsLW351990-10-06No203 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$2,000,000$393,258$No2,000,000$
UFA
Lien / Lien NHL
Mario FerraroRedWingsD271998-09-17No209 Lbs6 ft0NoNoYes4Pro & Farm4,478,000$4,478,000$880,506$No4,478,000$4,478,000$4,478,000$
UFA
Lien / Lien NHL
Matt CoronatoRedWingsC232002-11-14No183 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$181,882$No925,000$
RFA
Lien / Lien NHL
Matthew TkachukRedWingsLW281997-12-11No202 Lbs6 ft2NoNoYes1Pro Only7,200,000$7,200,000$1,415,730$No
UFA
Lien / Lien NHL
Noel AcciariRedWingsLW341991-12-01No209 Lbs5 ft11YesNoNo2Pro & Farm1,100,000$1,100,000$216,292$No1,100,000$
UFA
Lien / Lien NHL
Pavel DorofeyevRedWingsLW252000-10-26No194 Lbs6 ft1NoNoNo2Pro & Farm1,750,000$1,750,000$344,101$No1,750,000$
RFA
Lien / Lien NHL
Philipp GrubauerRedWingsG341991-11-25No180 Lbs6 ft0NoNoYes2Pro & Farm3,000,000$3,000,000$589,888$No3,000,000$
UFA
Lien / Lien NHL
Robert ThomasRedWingsC261999-07-02No207 Lbs6 ft0NoNoYes3Pro Only8,000,000$8,000,000$1,573,034$No8,000,000$8,000,000$
UFA
Lien / Lien NHL
Tyler MyersRedWingsD351990-02-01No229 Lbs6 ft8NoNoYes2Pro & Farm3,500,000$3,500,000$688,202$No3,500,000$
UFA
Lien / Lien NHL
Victor HedmanRedWingsD351990-12-18No245 Lbs6 ft7NoNoYes3Pro Only9,228,000$9,228,000$1,814,494$No9,228,000$9,228,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2329.30201 Lbs6 ft22.223,823,696$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
87,945,001$65,987,000$41,409,000$11,728,000$7,250,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew TkachukBrayden PointDavid Pastrnak40032
2Jason RobertsonRobert ThomasDylan Strome30032
3Pavel DorofeyevMatt CoronatoDylan Guenther20032
4Noel AcciariJordan StaalJackson Blake10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanJohn Carlson40032
2Mario FerraroTyler Myers30041
3Emil AndraeJani Hakanpaa20131
4Victor HedmanTyler Myers10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew TkachukBrayden PointDavid Pastrnak60014
2Jason RobertsonRobert ThomasDylan Strome40014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanJohn Carlson60014
2Mario FerraroTyler Myers40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jordan StaalNoel Acciari60041
2Robert ThomasMatt Coronato40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler MyersJohn Carlson60041
2Victor HedmanMario Ferraro40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jordan Staal60050Tyler MyersJohn Carlson60050
2Noel Acciari40050Victor HedmanMario Ferraro40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brayden PointMatthew Tkachuk60122
2Robert ThomasJason Robertson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanMario Ferraro60122
2Tyler MyersJohn Carlson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew TkachukBrayden PointDavid PastrnakVictor HedmanJohn Carlson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noel AcciariJordan StaalDylan GuentherTyler MyersJohn Carlson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Tkachuk, Brayden Point, Dylan StromeDylan Strome, Jason RobertsonJordan Staal
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mario Ferraro, Victor Hedman, John CarlsonMario FerraroJohn Carlson, Tyler Myers
Tirs de pénalité
David Pastrnak, Matthew Tkachuk, Brayden Point, Dylan Strome, Jason Robertson
Gardien
#1 : Cameron Talbot, #2 : Philipp Grubauer


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
1Avalanche211000001192110000007251010000047-320.5001120310053308233252406720224110330.00%11372.73%01280241353.05%1194225852.88%618117252.73%523842132513
2Blackhawks21001000945100010004311100000051441.00091726003231671223302672431338225.00%12283.33%01280241353.05%1194225852.88%618117252.73%503547152311
3BlueJackets1000000156-11000000156-10000000000010.50058130021204611201262986165120.00%30100.00%01280241353.05%1194225852.88%618117252.73%2922226126
4Blues22000000963110000005321100000043141.000917260024307217352005412145210330.00%7185.71%01280241353.05%1194225852.88%618117252.73%523843132312
5Bruins31200000910-1211000005501010000045-120.333916250033307326242309013538011218.18%16475.00%11280241353.05%1194225852.88%618117252.73%714869233918
6Canadiens32000100188102100010011741100000071650.8331832500083709334352409029247912325.00%12375.00%01280241353.05%1194225852.88%618117252.73%755266203820
7Canucks10001000541000000000001000100054121.00059140021113011411427810307228.57%5180.00%01280241353.05%1194225852.88%618117252.73%2616248137
8Capitals33000000207131100000062422000000145961.00020345400668010027452808622216512325.00%8187.50%01280241353.05%1194225852.88%618117252.73%826061203619
9Devils21100000761110000006331010000013-220.50071320003130551824130561822354125.00%10190.00%11280241353.05%1194225852.88%618117252.73%493547152311
10Ducks11000000431110000004310000000000021.00047110011203113810030410154125.00%40100.00%01280241353.05%1194225852.88%618117252.73%2719196126
11Flames21100000871110000005051010000037-420.50081422013230702822200561312421218.33%6183.33%01280241353.05%1194225852.88%618117252.73%564038142413
12Flyers31100010131121010000023-121000010118340.667132235007413108483324811531424912325.00%20480.00%01280241353.05%1194225852.88%618117252.73%745172223718
13GoldenKnights22000000853110000004221100000043141.000815230032306025926056171235800.00%60100.00%01280241353.05%1194225852.88%618117252.73%513644142312
14Hurricanes21100000440000000000002110000044020.5004812001120461712170632620489333.33%8187.50%01280241353.05%1194225852.88%618117252.73%442951152311
15Islanders3210000013112211000005501100000086240.6671323360064309333362409335307518527.78%14285.71%01280241353.05%1194225852.88%618117252.73%745167213718
16Jets11000000642000000000001100000064221.00061117002130296914028136184250.00%20100.00%01280241353.05%1194225852.88%618117252.73%2417237115
17Kings10100000410-610100000410-60000000000000.000481200301029145100421314295120.00%7185.71%01280241353.05%1194225852.88%618117252.73%2215256115
18Lightning33000000185132200000011381100000072561.00018304800648011230404207733264914642.86%12191.67%11280241353.05%1194225852.88%618117252.73%795764193618
19Mammoth220000001055110000004221100000063341.000102030004420702629150491837417114.29%10370.00%11280241353.05%1194225852.88%618117252.73%543940132513
20MapleLeafs312000001011-11010000023-12110000088020.3331017270043301093434410982445609333.33%15286.67%01280241353.05%1194225852.88%618117252.73%785763203719
21Oilers11000000725000000000001100000072521.00071219004120331731301610188337.50%000.00%01280241353.05%1194225852.88%618117252.73%2820186137
22Panthers320000101266220000009451000001032161.0001220320035318524293238428306113430.77%140100.00%01280241353.05%1194225852.88%618117252.73%694879223618
23Penguins321000001213-11100000042221100000811-340.66712223400354094184036012633426411436.36%18477.78%01280241353.05%1194225852.88%618117252.73%725072213517
24Predators2010010079-21000010045-11010000034-110.25071320002320591122215732128427114.29%14471.43%01280241353.05%1194225852.88%618117252.73%523645142613
25Rangers31200000810-2211000007701010000013-220.33381422004130992535390752837701417.14%16475.00%01280241353.05%1194225852.88%618117252.73%745166233818
26Sabres43100000171342200000010642110000077060.750173148007460123383748010535488122627.27%22577.27%01280241353.05%1194225852.88%618117252.73%926398294823
27Senators41101001121202010000157-22100100075250.62512213300443113743553688626348229620.69%14471.43%11280241353.05%1194225852.88%618117252.73%1077490304926
28Sharks22000000936110000004311100000050541.00091524014410883227290561827401715.88%8187.50%01280241353.05%1194225852.88%618117252.73%574137142413
29Stars10001000431000000000001000100043121.0004711000301308137224914284125.00%60100.00%01280241353.05%1194225852.88%618117252.73%2415237126
30Wild22000000752110000003211100000043141.000711180024105618191905210243711327.27%12191.67%01280241353.05%1194225852.88%618117252.73%463048152512
Total6740170422228621274332170120213698383419100302015011436960.7162865077930210784898217969775270838197059074114153177623.97%3125482.69%51280241353.05%1194225852.88%618117252.73%170411991518485831421
_Since Last GM Reset6740170422228621274332170120213698383419100302015011436960.7162865077930210784898217969775270838197059074114153177623.97%3125482.69%51280241353.05%1194225852.88%618117252.73%170411991518485831421
_Vs Conference432413011221781334522136001028863252111701020907020570.66317831148900674959513734264994392512733894809141955126.15%2023682.18%41280241353.05%1194225852.88%618117252.73%1076756994313531266
_Vs Division2313601111966531138300101533518105301010433013320.69696167263003526332732229254246116301882604921103027.27%1051981.90%31280241353.05%1194225852.88%618117252.73%574404531165287144

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6796L128650779321791970590741141502
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6740174222286212
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
33217120213698
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3419103020150114
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3177623.97%3125482.69%5
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
6977527083810784898
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
1280241353.05%1194225852.88%618117252.73%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
170411991518485831421


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
15Sabres2RedWings5BWSommaire du match
326RedWings3Penguins7ALSommaire du match
539Penguins2RedWings4BWSommaire du match
754Bruins4RedWings2BLSommaire du match
972Devils3RedWings6BWSommaire du match
1076RedWings5Sabres4AWSommaire du match
1399RedWings5Sharks0AWSommaire du match
15121RedWings4GoldenKnights3AWSommaire du match
17135RedWings4Blues3AWSommaire du match
19148RedWings1Rangers3ALSommaire du match
22165Islanders3RedWings2BLSommaire du match
24182Lightning2RedWings3BWSommaire du match
26197RedWings7Canadiens1AWSommaire du match
28210RedWings3Panthers2AWXXSommaire du match
29223RedWings7Lightning2AWSommaire du match
31233Rangers3RedWings4BWSommaire du match
33246RedWings4Avalanche7ALSommaire du match
36264RedWings6Mammoth3AWSommaire du match
40298Canadiens3RedWings8BWSommaire du match
42313Sharks3RedWings4BWSommaire du match
44330Wild2RedWings3BWSommaire du match
46346Blackhawks3RedWings4BWXSommaire du match
49364Flyers3RedWings2BLSommaire du match
50375RedWings7Flyers5AWSommaire du match
52388Senators3RedWings2BLXXSommaire du match
54404RedWings3Predators4ALSommaire du match
56415RedWings5Blackhawks1AWSommaire du match
57423RedWings2Sabres3ALSommaire du match
59440GoldenKnights2RedWings4BWSommaire du match
64479RedWings4Senators3AWXSommaire du match
65487MapleLeafs3RedWings2BLSommaire du match
71510RedWings7Oilers2AWSommaire du match
73521RedWings5Canucks4AWXSommaire du match
75536RedWings3Flames7ALSommaire du match
78554Ducks3RedWings4BWSommaire du match
81579RedWings4Wild3AWSommaire du match
82589RedWings6Jets4AWSommaire du match
85607Canadiens4RedWings3BLXSommaire du match
87623Capitals2RedWings6BWSommaire du match
89642Predators5RedWings4BLXSommaire du match
91655Flames0RedWings5BWSommaire du match
93668Panthers1RedWings4BWSommaire du match
95679RedWings4Stars3AWXSommaire du match
97699RedWings5Penguins4AWSommaire du match
98712RedWings4MapleLeafs5ALSommaire du match
99719Panthers3RedWings5BWSommaire du match
101733RedWings1Hurricanes2ALSommaire du match
103754RedWings4Flyers3AWXXSommaire du match
106774RedWings8Islanders6AWSommaire du match
107780Senators4RedWings3BLSommaire du match
110807RedWings6Capitals2AWSommaire du match
111808Kings10RedWings4BLSommaire du match
113824Islanders2RedWings3BWSommaire du match
115841RedWings4MapleLeafs3AWSommaire du match
117849Lightning1RedWings8BWSommaire du match
119861Avalanche2RedWings7BWSommaire du match
120867RedWings4Bruins5ALSommaire du match
123893Blues3RedWings5BWSommaire du match
125906BlueJackets6RedWings5BLXXSommaire du match
127916Sabres4RedWings5BWSommaire du match
128940RedWings8Capitals3AWSommaire du match
129946Bruins1RedWings3BWSommaire du match
133974RedWings1Devils3ALSommaire du match
135992RedWings3Senators2AWSommaire du match
1371001Mammoth2RedWings4BWSommaire du match
1401022RedWings3Hurricanes2AWSommaire du match
1411032Rangers4RedWings3BLSommaire du match
1441050Canucks-RedWings-
1471068Oilers-RedWings-
1491083Devils-RedWings-
1511099RedWings-BlueJackets-
1531110Stars-RedWings-
1551127Jets-RedWings-
1591151Hurricanes-RedWings-
1611161RedWings-Panthers-
1631180RedWings-Lightning-
1661195RedWings-Canadiens-
1681203RedWings-Bruins-
1691218MapleLeafs-RedWings-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721237RedWings-Ducks-
1731243RedWings-Kings-
1761262BlueJackets-RedWings-


Charte de profondeur
Ailier gaucheCentreAilier droit
Matthew Tkachuk
Matthew Tkachuk
AGE:28
SK:94
EN:85
DU:79
PH:90
PA:95
SC:85
DF:63
Jason Robertson
Jason Robertson
AGE:26
SK:90
EN:84
DU:99
PH:85
PA:85
SC:85
DF:68
Pavel Dorofeyev
Pavel Dorofeyev
AGE:25
SK:86
EN:82
DU:99
PH:71
PA:57
SC:85
DF:68
Marcus Johansson
Marcus Johansson
AGE:35
SK:82
EN:82
DU:92
PH:64
PA:66
SC:63
DF:65
Noel Acciari
Noel Acciari
AGE:34
SK:76
EN:77
DU:97
PH:51
PA:47
SC:55
DF:82
Ethen Frank (R)
Ethen Frank
AGE:27
SK:81
EN:72
DU:60
PH:57
PA:50
SC:64
DF:71
Simon Robertsson (R)
Simon Robertsson
AGE:22
SK:87
EN:60
DU:50
PH:46
PA:42
SC:49
DF:69
Danil Gushchin
Danil Gushchin
AGE:23
SK:78
EN:75
DU:51
PH:48
PA:47
SC:50
DF:65
Matthew Strome
Matthew Strome
AGE:26
SK:75
EN:68
DU:58
PH:40
PA:38
SC:43
DF:57
Brayden Tracey
Brayden Tracey
AGE:24
SK:75
EN:60
DU:50
PH:44
PA:44
SC:43
DF:51
Ryder Korczak
Ryder Korczak
AGE:23
SK:75
EN:60
DU:50
PH:39
PA:38
SC:39
DF:61
Robert Thomas
Robert Thomas
AGE:26
SK:96
EN:88
DU:91
PH:92
PA:99
SC:75
DF:80
Brayden Point
Brayden Point
AGE:29
SK:98
EN:87
DU:96
PH:89
PA:83
SC:95
DF:69
Jordan Staal
Jordan Staal
AGE:37
SK:79
EN:80
DU:94
PH:65
PA:65
SC:64
DF:81
Matt Coronato
Matt Coronato
AGE:23
SK:88
EN:84
DU:96
PH:70
PA:64
SC:76
DF:71
Fedor Svechkov
Fedor Svechkov
AGE:22
SK:80
EN:76
DU:79
PH:58
PA:54
SC:63
DF:64
Nate Danielson (R)
Nate Danielson
AGE:21
SK:87
EN:80
DU:70
PH:48
PA:51
SC:44
DF:64
Amadeus Lombardi
Amadeus Lombardi
AGE:22
SK:84
EN:60
DU:50
PH:62
PA:59
SC:65
DF:50
Lucas Elvenes
Lucas Elvenes
AGE:26
SK:78
EN:60
DU:50
PH:53
PA:45
SC:44
DF:50
David Pastrnak
David Pastrnak
AGE:29
SK:99
EN:89
DU:99
PH:98
PA:99
SC:93
DF:70
Dylan Strome
Dylan Strome
AGE:28
SK:92
EN:84
DU:99
PH:86
PA:93
SC:79
DF:67
Dylan Guenther
Dylan Guenther
AGE:22
SK:90
EN:83
DU:91
PH:80
PA:79
SC:82
DF:69
Jackson Blake (R)
Jackson Blake
AGE:22
SK:84
EN:78
DU:98
PH:62
PA:57
SC:67
DF:68
Jonatan Berggren
Jonatan Berggren
AGE:25
SK:81
EN:76
DU:94
PH:58
PA:53
SC:63
DF:61
Owen Beck (R)
Owen Beck
AGE:21
SK:75
EN:71
DU:51
PH:48
PA:47
SC:50
DF:64
Danila Klimovich
Danila Klimovich
AGE:22
SK:75
EN:74
DU:64
PH:49
PA:36
SC:62
DF:65
Michal Teply
Michal Teply
AGE:24
SK:75
EN:60
DU:50
PH:42
PA:41
SC:44
DF:55

Défense #1Défense #2Gardien
Victor Hedman
Victor Hedman
AGE:35
SK:84
EN:88
DU:97
PH:83
PA:93
SC:73
DF:82
John Carlson
John Carlson
AGE:35
SK:84
EN:89
DU:97
PH:73
PA:88
SC:58
DF:91
Tyler Myers
Tyler Myers
AGE:35
SK:75
EN:84
DU:92
PH:61
PA:61
SC:60
DF:90
Mario Ferraro
Mario Ferraro
AGE:27
SK:78
EN:85
DU:96
PH:55
PA:53
SC:58
DF:88
Jani Hakanpaa
Jani Hakanpaa
AGE:33
SK:75
EN:55
DU:50
PH:53
PA:53
SC:54
DF:82
Emil Andrae
Emil Andrae
AGE:23
SK:79
EN:79
DU:72
PH:52
PA:52
SC:53
DF:77
Zac Jones
Zac Jones
AGE:25
SK:80
EN:79
DU:75
PH:55
PA:58
SC:53
DF:70
Jeremy Davies
Jeremy Davies
AGE:29
SK:80
EN:76
DU:71
PH:55
PA:62
SC:49
DF:69
Jack Ahcan
Jack Ahcan
AGE:28
SK:79
EN:73
DU:68
PH:51
PA:63
SC:39
DF:66
Stanislav Svozil
Stanislav Svozil
AGE:22
SK:75
EN:67
DU:62
PH:42
PA:46
SC:38
DF:57
Jack Peart (R)
Jack Peart
AGE:22
SK:86
EN:57
DU:52
PH:31
PA:29
SC:32
DF:60
Lassi Thomson
Lassi Thomson
AGE:25
SK:75
EN:55
DU:50
PH:40
PA:38
SC:41
DF:50
Aleksi Heimosalmi (R)
Aleksi Heimosalmi
AGE:22
SK:91
EN:60
DU:55
PH:37
PA:33
SC:41
DF:50
Dmitry Kuzmin
Dmitry Kuzmin
AGE:22
SK:75
EN:55
DU:50
PH:33
PA:30
SC:37
DF:54
Cameron Talbot
Cameron Talbot
AGE:38
SK:86
AG:83
RB:79
SC:80
HS:78
RT:79
DF:81
Leevi Merilainen
Leevi Merilainen
AGE:23
SK:87
AG:85
RB:83
SC:87
HS:84
RT:85
DF:86
Calvin Pickard
Calvin Pickard
AGE:33
SK:89
AG:73
RB:75
SC:74
HS:71
RT:75
DF:76
Ken Appleby
Ken Appleby
AGE:30
SK:75
AG:60
RB:60
SC:60
HS:61
RT:61
DF:58
Philipp Grubauer
Philipp Grubauer
AGE:34
SK:85
AG:60
RB:56
SC:57
HS:60
RT:61
DF:60
Mads Sogaard
Mads Sogaard
AGE:25
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
Andrew StrathmannRedWings2037129
Ayrton MartinoRedWings203545
Beau AkeyRedWings203774
Benjamin GaudreauRedWings203549
Blake FiddlerRedWings203944
Cole HutsonRedWings203820
Denis SmirnovRedWings2031132
Jacob BattagliaRedWings203853
Jimmy SnuggerudRedWings203641
Logan SawyerRedWings203838
Lynden LakovicRedWings203919
Marcus DavidssonRedWings203147
Sean BehrensRedWings203570
Semyon FrolovRedWings203940
Tomas VomackaRedWings2031192
Tristan LennoxRedWings203573

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
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
4David Pastrnak5512663946602103651072918220312.07%491173021.29731472205522242433933.10%91.13834
5Andrew Ladd82023335759016679515591130221710.51%1711511118.43501111614454484940937.86%20.781132

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
20396740170422228621274332170120213698383419100302015011436962865077930210784898217969775270838197059074114153177623.97%3125482.69%51280241353.05%1194225852.88%618117252.73%170411991518485831421
Total Saison régulière17078655670495889796119520291785343627702532414230552544511854429290024264837306426584062053611910711168302366357202319961623566412532185451884616318509801552922119381738224171220.82%8098151281.33%93318126075252.36%285675630950.73%140362766750.73%421382870938428131642308911651
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