Connexion

La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.
Centre de jeu
Hurricanes
32-6-0, 64pts
4
FINAL
1 Rangers
20-14-4, 44pts
Team Stats
W3StreakL2
15-3-0Home Record11-8-0
17-3-0Away Record9-6-4
9-1-0Last 10 Games5-4-1
4.26Goals Per Game3.08
2.39Goals Against Per Game2.82
20.77%Power Play Percentage19.67%
83.45%Penalty Kill Percentage86.63%
Rangers
20-14-4, 44pts
3
FINAL
6 BlueJackets
27-8-3, 57pts
Team Stats
L2StreakW1
11-8-0Home Record11-5-3
9-6-4Away Record16-3-0
5-4-1Last 10 Games8-1-1
3.08Goals Per Game3.79
2.82Goals Against Per Game2.84
19.67%Power Play Percentage16.16%
86.63%Penalty Kill Percentage85.44%
Rangers
20-14-4, 44pts
Jour 81
Islanders
19-14-6, 44pts
Stats Équipe
L2SéquenceOTL2
11-8-0Fiche domicile10-6-5
9-6-4Fiche visiteur9-8-1
5-4-110 derniers matchs5-3-2
3.08Buts par match 3.51
2.82Buts contre par match 3.44
19.67%Pourcentage en avantage numérique17.95%
86.63%Pourcentage en désavantage numérique85.64%
Islanders
19-14-6, 44pts
Jour 83
Rangers
20-14-4, 44pts
Stats Équipe
OTL2SéquenceL2
10-6-5Fiche domicile11-8-0
9-8-1Fiche visiteur9-6-4
5-3-210 derniers matchs5-4-1
3.51Buts par match 3.08
3.44Buts contre par match 2.82
17.95%Pourcentage en avantage numérique19.67%
85.64%Pourcentage en désavantage numérique86.63%
Rangers
20-14-4, 44pts
Jour 85
GoldenKnights
12-18-4, 28pts
Stats Équipe
L2SéquenceL1
11-8-0Fiche domicile7-9-3
9-6-4Fiche visiteur5-9-1
5-4-110 derniers matchs2-7-1
3.08Buts par match 2.59
2.82Buts contre par match 3.38
19.67%Pourcentage en avantage numérique11.04%
86.63%Pourcentage en désavantage numérique79.27%
Meneurs d'équipe
Brock NelsonButs
Brock Nelson
17
Dylan HollowayPasses
Dylan Holloway
23
Dylan HollowayPoints
Dylan Holloway
36
Brock NelsonPlus/Moins
Brock Nelson
13
Darcy KuemperVictoires
Darcy Kuemper
17
Darcy KuemperPourcentage d’arrêts
Darcy Kuemper
0.908

Stats Équipe
Buts pour
117
3.08 GFG
Tirs pour
1240
32.63 Avg
Pourcentage en avantage numérique
19.7%
36 GF
Début de zone offensive
42.6%
Buts contre
107
2.82 GAA
Tirs contre
1089
28.66 Avg
Pourcentage en désavantage numérique
86.6%
23 GA
Début de la zone défensive
39.6%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralMichel Lirette
EntraîneurRod Brind'Amour
DivisionMetropolitan
ConférenceEastern
CapitaineDylan Holloway
Assistant #1Brent Burns
Assistant #2Erik Karlsson
Uniformes
Informations de l’aréna
NomMadison Square Garden
Capacité25,000
Assistance14,670
Billets de saison10,000
Information formation
Équipe Pro21
Équipe Mineure25
Limite contact 46 / 50
Espoirs19
Plafond salarial
Cap Salarial de la Saison estimé76,725,396$
Plafond salarial disponible13,274,604$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21
Finance
Revenu annuel à ce jour33,878,885$
Dépenses annuelles à ce jour38,733,886$
Revenus de la saison estimés39,228,183$
Dépenses de la saison estimées43,991,514$
Compte bancaire actuel97,200,133$
Compte bancaire projeté89,847,502$
Historique d'équipe
Saison actuelle20-14-4 (44PTS)
Historique766-765-141 (0.458%)
Apparitions séries éliminatoires 7
Historique séries éliminatoires (W-L)35-42
Stanley Cup0


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
1Dylan Holloway (C)X99.0090518789668296797879787840707675317602446,000,000$
2Brock NelsonX99.0050548684728698748771778266908825217503436,000,000$
3Ryan DonatoX100.0070488090568298778072826777808150187402912,300,000$
4Brayden SchennX100.0095617585638499708772686969908725327303417,000,000$
5Jean-Gabriel PageauX100.0082498485578397679569658440888630227203363,500,000$
6Sean CouturierX100.0056578081748497689171667669888630317203327,278,000$
7Nick PaulX100.0060608279848295678561747040828245297003043,750,000$
8Pavel DorofeyevX100.0048488386608299714057856853727770317002521,750,000$
9Michael BuntingX96.006245728554819566406171639082824596803024,500,000$
10Evgeny DadonovX100.0053448885537798664061716154948615266803623,000,000$
11Bobby McMannX100.008357838073799464405672664080805024680291900,000$
12Collin Graf (R)X100.005448858060816659405562814068758021640232750,000$
13Erik Karlsson (A)X100.0048458589548999744082677563929120317403549,250,000$
14Brenden DillonX100.0095717475828199544054537840928720257303523,200,000$
15Brent Burns (A)X100.004360837685849961406359806999920327204011$
16Matt GrzelcykX100.0052418686478499654079527640848440397103121,500,000$
17Jan RuttaX100.005752807569798053404957814092862046803532,900,000$
18Wyatt KaiserX100.006242857848808252404659874068748025680232925,000$
Rayé
1Zach WhitecloudX100.0077558075707994534050577340808050266902933,500,000$
Équipe Mineure
1Michael RasmussenX100.0083648475837796568151626940747665256502612,000,000$
2Justin Hryckowian (R)X100.005946829154766662406757704070737520640243850,000$
3Connor DewarX100.0099538479537476547850577040747465266302622,000,000$
4Jansen HarkinsX100.009152837563738549884553709978765520620283850,000$
5Oskar BackX100.0049538875707493548753547240727370256202521,800,000$
6Ben MeyersX100.007546818356665662706063584076716020620272575,000$
7Ivan MiroshnichenkoX100.007646907856705554405455624064679021590212925,000$
8Jacob Gaucher (R)X100.006552778560796947404153704070757520590243700,000$
9Jeff Malott (R)X100.007772787575725148404750644080765020580293575,000$
10Cole ReinhardtX100.009163727567695550404555544072717025570253575,000$
11Maxime ComtoisX100.0070655675736050534052545070746765205702631,250,000$
12Pavol RegendaX100.005355727577817148405245504074786524570263600,000$
13Ryker EvansX100.007947828159829360406258694070767525680241925,000$
14Kaedan KorczakX100.0075528976697570554061507240707375206602411,250,000$
15Nick LeddyX100.0044508977648164534048587273908625246503414,000,000$
16Ben HuttonX100.006154907572725152405550654086793518630323700,000$
17Dennis CholowskiX100.004353857770727057405559644076746020630273750,000$
18Benoit-Olivier GroulxX100.009350727864605057705856674072667013610253850,000$
19Jan JenikX100.008561617563615148404749644072677012570253575,000$
20Liam FoudyX100.005449837657796951404953504072767014570253775,000$
21Grigori DenisenkoX100.006644677659746450404851504072737015560253575,000$
22Niko Huuhtanen (R)X100.007157728266605041403943704066638519550223925,000$
23Ilya SolovyovX100.007353787572635847405143684072687013620251907,500$
MOYENNE D’ÉQUIPE99.86685380806576795853576069497878542265
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
1Darcy Kuemper99.009691999895959495969584929420409203563,500,000$
2Joel Hofer100.008568679080818185798087727770377802522,300,000$
Rayé
Équipe Mineure
1Tomas Suchanek100.00875060856260575755545066638527620222925,000$
2Artur Akhtyamov (R)100.00755060845050505050507070607528560242750,000$
MOYENNE D’ÉQUIPE99.7586657289727271727070737574633372
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rod Brind'Amour70909186907560CAN5546,000,000$


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
1Dylan HollowayRangersRW38132336426010769171381247.60%976020.025813511540001222147.22%7200000.9513000350
2Brock NelsonRangersC37171734132014104103289016.50%1184022.7028102014711251481153.07%88000100.8102000303
3Michael BuntingRangersLW35112233-200306599208411.11%583523.8846102912901121630133.46%26900000.7903000112
4Brayden SchennRangersRW35131528-2381012271111307511.71%569219.79538321241012652249.17%72000000.8112101131
5Pavel DorofeyevRangersLW38131023-4801651124317510.48%669218.2354924143000003243.10%5800000.6612000011
6Erik KarlssonRangersD3851722252073636517497.69%5391424.0625743158000081000.00%000000.4800000001
7Ryan DonatoRangersLW381111221140474389268112.36%359215.5835829123000130039.62%5300000.7413000100
8Sean CouturierRangersC3761622-1100221038125577.41%870218.99246231350000402051.59%85100000.6300000022
9Bobby McMannRangersLW36910191160744668236713.24%461217.01134171310002593036.88%38500000.6201000301
10Brent BurnsRangersD3841418839558314091510.00%5781721.500002170001138200.00%000000.4400001200
11Nick PaulRangersRW381081815420323689205111.24%260816.007411331430000703047.56%8200000.5901112201
12Jean-Gabriel PageauRangersC23511162220316042153511.90%434214.871565310004830156.13%52200000.9400000000
13Evgeny DadonovRangersLW3441115-4207525813406.90%347013.8513412590002580037.99%17900000.6401000021
14Jan RuttaRangersD246814-13320541842112414.29%3954422.711342391000198100.00%000000.5100000020
15Zach WhitecloudRangersD375712-346075204353111.63%1964717.4923522122000059100.00%000000.3700000001
16Matt GrzelcykRangersD360111151402640249220.00%3760116.700441776000051000.00%000000.3700000000
17Brenden DillonRangersD384610-1382101353429212513.79%7179320.8925712460001142000.00%000000.2500200000
18Wyatt KaiserRangersD3835841209253071810.00%3843011.3200000000088100.00%400000.3700000011
19Oskar BackWolfPack (Nyr)C171451403985912.50%01388.1500012000001047.95%7300000.7200000001
20Collin GrafRangersRW32325-620132027181611.11%833410.470000300011130022.73%2200000.3000000000
21Nick LeddyWolfPack (Nyr)D1313458010370314.29%1013810.6700000000022000.00%000000.5800000000
22Connor DewarWolfPack (Nyr)RW14123-11402611143127.14%216912.141122250000150050.00%1200000.3500000000
23Ryker EvansWolfPack (Nyr)D90111601766300.00%611713.090000000000000.00%000000.1700000000
24Ilya SolovyovWolfPack (Nyr)D1000000110000.00%01515.350000000000000.00%000000.0000000000
25Michael RasmussenWolfPack (Nyr)C1000000110000.00%066.9800000000010050.00%400000.0000000000
Statistiques d’équipe totales ou en moyenne725145234379-15034510039821370377100310.58%4001282117.684474118397186722423153022848.26%418600100.59418414161716
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
1Darcy KuemperRangers33171240.9082.62199302879430200.45511335421
2Joel HoferRangers72310.8823.5439000231950010.0000624000
Statistiques d’équipe totales ou en moyenne40191550.9032.7723840211011380210.455113929421


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
Bobby McMannRangersLW291996-06-15No215 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$495,506$No
UFA
Lien / Lien NHL
Brayden SchennRangersRW341991-08-22No199 Lbs6 ft1NoNoYes1Pro Only7,000,000$7,000,000$3,853,933$No
UFA
Lien / Lien NHL
Brenden DillonRangersD351990-11-13No225 Lbs6 ft4NoNoYes2Pro & Farm3,200,000$3,200,000$1,761,798$No3,200,000$
UFA
Lien / Lien NHL
Brent BurnsRangersD401985-03-09No228 Lbs6 ft5YesNoYes1Pro Only1$1$1$No
UFA
Lien / Lien NHL
Brock NelsonRangersC341991-10-15No205 Lbs6 ft4NoNoYes3Pro Only6,000,000$6,000,000$3,303,371$No6,000,000$6,000,000$
UFA
Lien / Lien NHL
Collin GrafRangersRW232002-09-21Yes194 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$412,921$No750,000$
RFA
Lien / Lien NHL
Darcy KuemperRangersG351990-05-05No212 Lbs6 ft4YesNoYes6Pro & Farm3,500,000$3,500,000$1,926,966$No3,500,000$3,500,000$3,500,000$3,500,000$3,500,000$
UFA
Lien / Lien NHL
Dylan HollowayRangersRW242001-09-23No206 Lbs6 ft1NoNoYes4Pro Only6,000,000$6,000,000$3,303,371$No6,000,000$6,000,000$6,000,000$
RFA
Lien / Lien NHL
Erik KarlssonRangersD351990-05-31No186 Lbs6 ft0NoNoYes4Pro Only9,250,000$9,250,000$5,092,697$No9,250,000$9,250,000$9,250,000$
UFA
Lien / Lien NHL
Evgeny DadonovRangersLW361989-03-12No188 Lbs5 ft11NoNoYes2Pro & Farm3,000,000$3,000,000$1,651,685$No3,000,000$
UFA
Lien / Lien NHL
Jan RuttaRangersD351990-07-29No204 Lbs6 ft3NoNoYes3Pro & Farm2,900,000$2,900,000$1,596,629$No2,900,000$2,900,000$
UFA
Lien / Lien NHL
Jean-Gabriel PageauRangersC331992-11-11No195 Lbs5 ft11YesNoYes6Pro & Farm3,500,000$3,500,000$1,926,966$No3,500,000$3,500,000$3,500,000$3,500,000$3,500,000$
UFA
Lien / Lien NHL
Joel HoferRangersG252000-07-30No160 Lbs6 ft3NoNoYes2Pro & Farm2,300,000$2,300,000$1,266,292$No2,300,000$
RFA
Lien / Lien NHL
Matt GrzelcykRangersD311994-01-05No180 Lbs5 ft10NoNoNo2Pro & Farm1,500,000$1,500,000$825,843$No1,500,000$
UFA
Lien / Lien NHL
Michael BuntingRangersLW301995-09-17No186 Lbs6 ft0NoNoYes2Pro & Farm4,500,000$4,500,000$2,477,528$No4,500,000$
UFA
Lien / Lien NHL
Nick PaulRangersRW301995-03-20No230 Lbs6 ft4YesNoYes4Pro & Farm3,750,000$3,750,000$2,064,607$No3,750,000$3,750,000$3,750,000$
UFA
Lien / Lien NHL
Pavel DorofeyevRangersLW252000-10-26No194 Lbs6 ft1NoNoNo2Pro & Farm1,750,000$1,750,000$963,483$No1,750,000$
RFA
Lien / Lien NHL
Ryan DonatoRangersLW291996-04-09No190 Lbs6 ft0NoNoYes1Pro & Farm2,300,000$2,300,000$1,266,292$No
UFA
Lien / Lien NHL
Sean CouturierRangersC331992-12-07No210 Lbs6 ft4NoNoYes2Pro Only7,278,000$7,278,000$4,006,989$No7,278,000$
UFA
Lien / Lien NHL
Wyatt KaiserRangersD232002-07-31No173 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$509,270$No925,000$
RFA
Lien / Lien NHL
Zach WhitecloudRangersD291996-11-28No210 Lbs6 ft2NoNoYes3Pro & Farm3,500,000$3,500,000$1,926,966$No3,500,000$3,500,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2130.86200 Lbs6 ft22.623,514,429$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
73,803,001$63,603,000$38,400,000$26,000,000$7,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoBrock NelsonDylan Holloway36023
2Pavel DorofeyevSean CouturierNick Paul34023
3Bobby McMannJean-Gabriel PageauMichael Bunting20023
4Evgeny DadonovBrayden SchennCollin Graf10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brenden DillonErik Karlsson45032
2Matt GrzelcykBrent Burns35032
3Wyatt KaiserJan Rutta20032
4Erik KarlssonBrent Burns0032
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan HollowayBrock NelsonPavel Dorofeyev60014
2Nick PaulSean CouturierBobby McMann40014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonRyan Donato60023
2Matt GrzelcykBrayden Schenn40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jean-Gabriel PageauBrock Nelson60041
2Nick PaulDylan Holloway40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brenden DillonBrent Burns60032
2Wyatt KaiserJan Rutta40032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jean-Gabriel Pageau60041Brenden DillonBrent Burns60032
2Brock Nelson40041Wyatt KaiserJan Rutta40032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sean CouturierDylan Holloway60122
2Brock NelsonPavel Dorofeyev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonBrent Burns60122
2Matt GrzelcykBrenden Dillon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan HollowayBrock NelsonPavel DorofeyevErik KarlssonMatt Grzelcyk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brock NelsonJean-Gabriel PageauCollin GrafWyatt KaiserJan Rutta
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Holloway, Pavel Dorofeyev, Nick PaulPavel Dorofeyev, Brock NelsonNick Paul
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Erik Karlsson, Matt Grzelcyk, Brent BurnsErik KarlssonBrenden Dillon, Brent Burns
Tirs de pénalité
Dylan Holloway, Ryan Donato, Pavel Dorofeyev, Brock Nelson, Nick Paul
Gardien
#1 : Darcy Kuemper, #2 : Joel Hofer, #3 : 0


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
1Blackhawks11000000211110000002110000000000021.000235000020367151402551920300.00%70100.00%0723144550.03%719134653.42%33060454.64%2214248136
2BlueJackets2110000078-1110000004221010000036-320.500710170040307926173605618164513215.38%8187.50%0723144550.03%719134653.42%33060454.64%442947162713
3Blues11000000211110000002110000000000021.00023500020036917100371410202150.00%5180.00%0723144550.03%719134653.42%33060454.64%2013278125
4Bruins3210000015510110000007252110000083540.66715264100483011025394606320266916425.00%11190.91%0723144550.03%719134653.42%33060454.64%735067213920
5Canadiens11000000312110000003120000000000021.00035800201027128702481421600.00%60100.00%0723144550.03%719134653.42%33060454.64%2416237126
6Canucks11000000624000000000001100000062421.0006915005010271359029111096350.00%4175.00%0723144550.03%719134653.42%33060454.64%2215237137
7Capitals211000008711010000023-11100000064220.50081422001610852537230542523619111.11%6266.67%0723144550.03%719134653.42%33060454.64%543841132312
8Devils412000011217-52110000057-220100001710-330.375122032005341127464932414039528721419.05%19478.95%0723144550.03%719134653.42%33060454.64%9060104314925
9Flames11000000431000000000001100000043121.00048120040004118518027176296116.67%30100.00%0723144550.03%719134653.42%33060454.64%2517217126
10Flyers2110000057-21010000014-31100000043120.500510150001406520212405418163910220.00%7271.43%0723144550.03%719134653.42%33060454.64%473246152512
11Hurricanes3120000069-32020000038-51100000031220.333611170022206417281901033149676116.67%16193.75%0723144550.03%719134653.42%33060454.64%563686223717
12Jets1000000134-1000000000001000000134-110.500336002011441392161888229333.33%3166.67%0723144550.03%719134653.42%33060454.64%3122207137
13Kings11000000211110000002110000000000021.00023500011020371001696243133.33%30100.00%0723144550.03%719134653.42%33060454.64%2417228126
14Lightning22000000918220000009180000000000041.000912210125207529271905713203513215.38%100100.00%0723144550.03%719134653.42%33060454.64%523542152513
15MapleLeafs2020000028-61010000003-31010000025-300.00024600110072162531058181844800.00%8275.00%0723144550.03%719134653.42%33060454.64%533739132613
16Oilers11000000101000000000001100000010121.000123011000331018502688254125.00%40100.00%0723144550.03%719134653.42%33060454.64%2013278126
17Penguins32100000871110000004312110000044040.6678152300215083282728010131346913323.08%17288.24%0723144550.03%719134653.42%33060454.64%664375233818
18RedWings21100000651110000003121010000034-120.500610160024005016201407322253212325.00%10190.00%0723144550.03%719134653.42%33060454.64%432750152613
19Sabres1000000145-1000000000001000000145-110.50048120003102651283451817145120.00%4175.00%0723144550.03%719134653.42%33060454.64%2114298136
20Senators1010000045-11010000045-10000000000000.0004711003010361391401710923400.00%20100.00%0723144550.03%719134653.42%33060454.64%2618206126
21Stars1000010023-1000000000001000010023-110.500235001010271098031818242150.00%9188.89%0723144550.03%719134653.42%33060454.64%1911278135
22Wild2110000067-11010000013-21100000054120.500612180042007736212003512203812216.67%10280.00%0723144550.03%719134653.42%33060454.64%503644142412
Total382014001031171071019118000005246619960010365614440.57911719831502453933212403974254161310893634248171833619.67%1722386.63%0723144550.03%719134653.42%33060454.64%893603915290485243
_Since Last GM Reset382014001031171071019118000005246619960010365614440.57911719831502453933212403974254161310893634248171833619.67%1722386.63%0723144550.03%719134653.42%33060454.64%893603915290485243
_Vs Conference2813130000289854158700000454051356000024445-1280.5008915224101283427189927831930178452713196061362316.91%1241786.29%0723144550.03%719134653.42%33060454.64%655442676212358180
_Vs Division1678000014655-9835000001927-8843000012728-1150.46946801260014131915031621791624508162190368721318.06%731283.56%0723144550.03%719134653.42%33060454.64%36024140212320299

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3844L21171983151240108936342481702
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3820140103117107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1911800005246
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
199601036561
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1833619.67%1722386.63%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
397425416134539332
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
723144550.03%719134653.42%33060454.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
893603915290485243


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
112Rangers0Penguins2ALSommaire du match
218BlueJackets2Rangers4BWSommaire du match
433Senators5Rangers4BLSommaire du match
647Rangers3Devils5ALSommaire du match
755Rangers4Flyers3AWSommaire du match
973Blues1Rangers2BWSommaire du match
1184Rangers1Bruins2ALSommaire du match
1398Penguins3Rangers4BWSommaire du match
15119Rangers2MapleLeafs5ALSommaire du match
19148RedWings1Rangers3BWSommaire du match
22167Rangers5Wild4AWSommaire du match
23175Rangers4Flames3AWSommaire du match
25192Rangers6Canucks2AWSommaire du match
27203Rangers1Oilers0AWSommaire du match
29221Devils4Rangers1BLSommaire du match
31233Rangers3RedWings4ALSommaire du match
33247Rangers2Stars3ALXSommaire du match
35261Capitals3Rangers2BLSommaire du match
37279Canadiens1Rangers3BWSommaire du match
39292Lightning0Rangers5BWSommaire du match
42316Rangers6Capitals4AWSommaire du match
43323Devils3Rangers4BWSommaire du match
45339Wild3Rangers1BLSommaire du match
47348Rangers3Hurricanes1AWSommaire du match
49368Rangers4Penguins2AWSommaire du match
51382Rangers4Sabres5ALXXSommaire du match
54409Rangers3Jets4ALXXSommaire du match
56420MapleLeafs3Rangers0BLSommaire du match
58435Hurricanes4Rangers2BLSommaire du match
60450Bruins2Rangers7BWSommaire du match
62465Kings1Rangers2BWSommaire du match
64478Lightning1Rangers4BWSommaire du match
66493Rangers4Devils5ALXXSommaire du match
68499Flyers4Rangers1BLSommaire du match
74522Rangers7Bruins1AWSommaire du match
76545Blackhawks1Rangers2BWSommaire du match
78559Hurricanes4Rangers1BLSommaire du match
80569Rangers3BlueJackets6ALSommaire du match
81582Rangers-Islanders-
83596Islanders-Rangers-
85613Rangers-GoldenKnights-
87622Rangers-Mammoth-
89640Rangers-Avalanche-
91656Penguins-Rangers-
93672Rangers-Blues-
95684Rangers-Predators-
97698BlueJackets-Rangers-
98710Flyers-Rangers-
99725Rangers-MapleLeafs-
103753Ducks-Rangers-
105764GoldenKnights-Rangers-
107783Mammoth-Rangers-
111811Rangers-Lightning-
113825Rangers-Panthers-
119864Jets-Rangers-
120871Rangers-Canadiens-
122887Rangers-Senators-
125909Senators-Rangers-
127921Capitals-Rangers-
128935Rangers-Flyers-
129951Islanders-Rangers-
131959Stars-Rangers-
133976Panthers-Rangers-
135991Rangers-Islanders-
1381012Canucks-Rangers-
1401023Rangers-BlueJackets-
1411032Rangers-RedWings-
1441052Canadiens-Rangers-
1461064Sabres-Rangers-
1491081Rangers-Ducks-
1511104Rangers-Sharks-
1531111Rangers-Kings-
1561133Rangers-Blackhawks-
1581149Panthers-Rangers-
1601157Flames-Rangers-
1641186Rangers-Capitals-
1651189Avalanche-Rangers-
1681211Oilers-Rangers-
1691224Sharks-Rangers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1731241Rangers-Hurricanes-
1741245Rangers-Sabres-
1761263Predators-Rangers-


Charte de profondeur
Ailier gaucheCentreAilier droit
Ryan Donato
Ryan Donato
AGE:29
SK:90
EN:82
DU:98
PH:77
PA:72
SC:82
DF:67
Pavel Dorofeyev
Pavel Dorofeyev
AGE:25
SK:86
EN:82
DU:99
PH:71
PA:57
SC:85
DF:68
Bobby McMann
Bobby McMann
AGE:29
SK:80
EN:79
DU:94
PH:64
PA:56
SC:72
DF:66
Michael Bunting
Michael Bunting
AGE:30
SK:85
EN:81
DU:95
PH:66
PA:61
SC:71
DF:63
Evgeny Dadonov
Evgeny Dadonov
AGE:36
SK:85
EN:77
DU:98
PH:66
PA:61
SC:71
DF:61
Justin Hryckowian (R)
Justin Hryckowian
AGE:24
SK:91
EN:76
DU:66
PH:62
PA:67
SC:57
DF:70
Ivan Miroshnichenko
Ivan Miroshnichenko
AGE:21
SK:78
EN:70
DU:55
PH:54
PA:54
SC:55
DF:62
Jacob Gaucher (R)
Jacob Gaucher
AGE:24
SK:85
EN:79
DU:69
PH:47
PA:41
SC:53
DF:70
Jan Jenik
Jan Jenik
AGE:25
SK:75
EN:61
DU:51
PH:48
PA:47
SC:49
DF:64
Liam Foudy
Liam Foudy
AGE:25
SK:76
EN:79
DU:69
PH:51
PA:49
SC:53
DF:50
Pavol Regenda
Pavol Regenda
AGE:26
SK:75
EN:81
DU:71
PH:48
PA:52
SC:45
DF:50
Grigori Denisenko
Grigori Denisenko
AGE:25
SK:76
EN:74
DU:64
PH:50
PA:48
SC:51
DF:50
Brock Nelson
Brock Nelson
AGE:34
SK:84
EN:86
DU:98
PH:74
PA:71
SC:77
DF:82
Jean-Gabriel Pageau
Jean-Gabriel Pageau
AGE:33
SK:85
EN:83
DU:97
PH:67
PA:69
SC:65
DF:84
Sean Couturier
Sean Couturier
AGE:33
SK:81
EN:84
DU:97
PH:68
PA:71
SC:66
DF:76
Michael Rasmussen
Michael Rasmussen
AGE:26
SK:75
EN:77
DU:96
PH:56
PA:51
SC:62
DF:69
Oskar Back
Oskar Back
AGE:25
SK:75
EN:74
DU:93
PH:54
PA:53
SC:54
DF:72
Ben Meyers
Ben Meyers
AGE:27
SK:83
EN:66
DU:56
PH:62
PA:60
SC:63
DF:58
Jansen Harkins
Jansen Harkins
AGE:28
SK:75
EN:73
DU:85
PH:49
PA:45
SC:53
DF:70
Benoit-Olivier Groulx
Benoit-Olivier Groulx
AGE:25
SK:78
EN:60
DU:50
PH:57
PA:58
SC:56
DF:67
Dylan Holloway
Dylan Holloway
AGE:24
SK:89
EN:82
DU:96
PH:79
PA:79
SC:78
DF:78
Brayden Schenn
Brayden Schenn
AGE:34
SK:85
EN:84
DU:99
PH:70
PA:72
SC:68
DF:69
Nick Paul
Nick Paul
AGE:30
SK:79
EN:82
DU:95
PH:67
PA:61
SC:74
DF:70
Collin Graf (R)
Collin Graf
AGE:23
SK:80
EN:81
DU:66
PH:59
PA:55
SC:62
DF:81
Connor Dewar
Connor Dewar
AGE:26
SK:79
EN:74
DU:76
PH:54
PA:50
SC:57
DF:70
Jeff Malott (R)
Jeff Malott
AGE:29
SK:75
EN:72
DU:51
PH:48
PA:47
SC:50
DF:64
Cole Reinhardt
Cole Reinhardt
AGE:25
SK:75
EN:69
DU:55
PH:50
PA:45
SC:55
DF:54
Maxime Comtois
Maxime Comtois
AGE:26
SK:75
EN:60
DU:50
PH:53
PA:52
SC:54
DF:50
Niko Huuhtanen (R)
Niko Huuhtanen
AGE:22
SK:82
EN:60
DU:50
PH:41
PA:39
SC:43
DF:70

Défense #1Défense #2Gardien
Erik Karlsson
Erik Karlsson
AGE:35
SK:89
EN:89
DU:99
PH:74
PA:82
SC:67
DF:75
Brenden Dillon
Brenden Dillon
AGE:35
SK:75
EN:81
DU:99
PH:54
PA:54
SC:53
DF:78
Brent Burns
Brent Burns
AGE:40
SK:76
EN:84
DU:99
PH:61
PA:63
SC:59
DF:80
Matt Grzelcyk
Matt Grzelcyk
AGE:31
SK:86
EN:84
DU:99
PH:65
PA:79
SC:52
DF:76
Zach Whitecloud
Zach Whitecloud
AGE:29
SK:75
EN:79
DU:94
PH:53
PA:50
SC:57
DF:73
Wyatt Kaiser
Wyatt Kaiser
AGE:23
SK:78
EN:80
DU:82
PH:52
PA:46
SC:59
DF:87
Ryker Evans
Ryker Evans
AGE:24
SK:81
EN:82
DU:93
PH:60
PA:62
SC:58
DF:69
Jan Rutta
Jan Rutta
AGE:35
SK:75
EN:79
DU:80
PH:53
PA:49
SC:57
DF:81
Kaedan Korczak
Kaedan Korczak
AGE:24
SK:76
EN:75
DU:70
PH:55
PA:61
SC:50
DF:72
Nick Leddy
Nick Leddy
AGE:34
SK:77
EN:81
DU:64
PH:53
PA:48
SC:58
DF:72
Dennis Cholowski
Dennis Cholowski
AGE:27
SK:77
EN:72
DU:70
PH:57
PA:55
SC:59
DF:64
Ben Hutton
Ben Hutton
AGE:32
SK:75
EN:72
DU:51
PH:52
PA:55
SC:50
DF:65
Ilya Solovyov
Ilya Solovyov
AGE:25
SK:75
EN:63
DU:58
PH:47
PA:51
SC:43
DF:68
Darcy Kuemper
Darcy Kuemper
AGE:35
SK:96
AG:95
RB:95
SC:94
HS:95
RT:96
DF:95
Joel Hofer
Joel Hofer
AGE:25
SK:85
AG:80
RB:81
SC:81
HS:85
RT:79
DF:80
Tomas Suchanek
Tomas Suchanek
AGE:22
SK:87
AG:62
RB:60
SC:57
HS:57
RT:55
DF:54
Artur Akhtyamov (R)
Artur Akhtyamov
AGE:24
SK:75
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
Albert WikmanRangers2037142
Artem ShlaineRangers2034142
Axel BergkvistRangers2034185
Axel RindellRangers2034173
Basile SansonnensRangers2038201
Conner RouletteRangers2035125
Ethan EdwardsRangers2034131
Filip LarssonRangers2033111
Ivan ZhigalovRangers2036186
Jack SparkesRangers2036194
Jay O'BrienRangers203224
Joona SaarelainenRangers2038143
Kevin ReidlerRangers2036163
Lucas EllinasRangers2038115
Lucas MercuriRangers2034156
Samu BauRangers2037191
Samuel JohannessonRangers2034162
Tyler PeddleRangers2037160
Valentin NussbaumerRangers2033171

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2040
2041
2042



Rangers 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
1Andrej Nedorost1486253409662-115107016791938247710.21%8942482816.715469123310481254342045.62%90.53740
2Brent Burns43617539857365406647827155811.23%6241101525.2611915127097718916271157.14%41.0423
3Brandon Bochenski834264301565-523166652065221411.92%2251512118.135792149402821054381252.44%100.751358
4Ryan Kesler44423331054310270713861673188912.33%1711051923.6973143216495831146341255.42%71.03950
5Ryan Johansen385127241368502394941102122610.36%92876822.772811013830257124211855.62%30.841044

Rangers 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
1Brian Elliott373176140310.8983.142119830161108108826041650.805149
2Dwayne Roloson233100113170.9062.951378914567771942506730.759108
3Carter Hutton95562990.9092.7855442525728210420.77836
4Petr Mrazek75402680.9022.82448523521121560610.64648
5Juuse Saros70402620.8873.3440076222319820000.91712

Rangers 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
201782274002355226266-4041171600224122128-641102402131104138-3461226365591010439482222306198347542456825106016372544015.75%2734982.05%5857176548.56%853187545.49%631130948.20%158580119388731629819
20188230360109625322924411617010521291141541141900044124115962253394647130659088250407729057902646812140920352133918.31%2765081.88%6952195548.70%1001206948.38%690129153.45%166790617937771537748
201982274202353230268-3841141901322112126-1441132301031118142-2461230357587110511046825170669986830248980091618122042311.27%2165275.93%2957204446.82%947195548.44%575119848.00%167390117227751572780
202082353301553242247-541161501333112121-94119180022013012647724238362511061849124920801797873263583699818482383313.87%2464083.74%4927201246.07%958207446.19%574123046.67%166889617477801555768
202182174600478191280-894110220014499133-34417240033492147-5538191320511200646159221307617107132728832106618583885714.69%4269777.23%31253278544.99%1409313444.96%593129245.90%1852124421036301050506
202282155103346211324-1134192500214102160-584162603132109164-5539211363574200776562239207857727972841833111418264056315.56%4489778.35%21470295249.80%1589324648.95%673133750.34%1862124820946291031502
202382184604059210277-674110240101592129-374182203044118148-304421036957921070676423430739764813266475787017294496614.70%3837779.90%01453285650.88%1451309646.87%668128052.19%1897129020506251045513
202482225101242213294-814192801111108160-5241132300131105134-2958213376589120767458221307257497272671735108417534007619.00%45210576.77%51447274052.81%1574320149.17%702131853.26%1860125920596291034501
202582293603284302312-10411915011321491341541102102152153178-258630251882021010710084260808408658812833847125419084249321.93%48011276.67%21511297950.72%1557321748.40%688141048.79%1879126520636371049516
202682343105336307300741171701213148156-841171404123159144159330754585231011696872908097295894026957871138192746512025.81%45411075.77%51729328752.60%1558310150.24%722136253.01%1983134919596251036523
202782412701373303252514121110124216312043412016001311401328104303529832250100999627500915867932240762596217854689820.94%4167981.01%51698314454.01%1436286250.17%658128551.21%2058144018966121023514
203082352902061026524124411913010441371132441161601026128128096265460725150878387272809198669092441702107618194017819.45%4719080.89%81693316353.53%1549297152.14%700127954.73%2047141119166111040526
20318245230255230623571412212022121491133641231100340157122351113065408463701229483286309269369782497773892180241712529.98%3867281.35%31802323755.67%1532294352.06%726133154.55%2024141419216041028523
20328237280356324923118411815012321281181041191302331121113810024943468315085807523730770797777247276390917533998020.05%3846184.11%71470292550.26%1408307145.85%611128347.62%1981136319706161032515
203382333301591247252-541151501361129130-141181800230118122-4922474346812501017363238908268117342498739104418554295412.59%4077980.59%31555286654.26%1520295351.47%685131452.13%2014139419306161037518
203482244702126248318-7041132201014128159-3141112501112120159-3963248444692210798877245308217958192728742113119673988220.60%47210178.60%21551297952.06%1462297749.11%745137154.34%1946133419906141030506
203582313702138256280-2441201400034132130241112302104124150-2681256449705120977678263608718568772687710101518773916416.37%4429378.96%61611301953.36%1488312647.60%669132950.34%1965134319846111035514
203682185304511246370-12441102801101119174-554182503410127196-6952246432678220977173235907587698172959894119019493687520.38%51612575.78%61456278552.28%1519301850.33%685139349.17%1755115921566271030492
2037824626042223742691054126120011120213468412014041111721353710837466110351214410711773067100795510804025407181023181141212029.13%4148180.43%21717316954.18%1555290853.47%776143554.08%1958133819486081047524
2038823436062312642613412017030101361171941141903221128144-16892644517151196798010265190286684652261575284117084008421.00%3716482.75%41593298153.44%1593301552.84%682128053.28%1877127320456291036510
20393820140010311710710191180000052466199600103656144411719831502453933212403974254161310893634248171833619.67%1722386.63%0723144550.03%719134653.42%33060454.64%893603915290485243
Total Saison régulière167861876504955999252605613-35383933236501826475126482715-6783928640003129524126122898-286155952609022142823148285172317291394519222306167351737915066535911584521416374767706150619.54%8105165779.56%80294255708851.54%286785815849.31%137832693151.18%384542524240209134262337111571
Séries éliminatoires
20261367000003942-3624000001318-57430000026242123970109010131394250134118149480149176301561017.86%781876.92%225849552.12%26954749.18%10820951.67%30420333810317184
20271688000005247584400000232308440000029245165295147000202195360153169180464147178361981919.39%781482.05%134162654.47%28655651.44%12924053.75%409283400126205101
20311266000004245-3633000001822-46330000024231124275117000151510353099126113406103132262621727.42%621083.87%023142154.87%23345251.55%10821749.77%2932033049315476
203240400000615-92020000038-52020000037-4061016100132103025403814945361061616.25%18288.89%06113246.21%7817145.61%225639.29%8558107294621
20331257000003943-47430000028217514000001122-11103969108010179133960134132130398109155268551425.45%701381.43%323244751.90%25246853.85%9918852.66%2701833039014670
2037514000001122-112110000098130300000214-1221122330034401323942510181536010114214.29%28678.57%08815656.41%9419647.96%388047.50%10065134396530
20381596000005044676100000281810835000002226-418508913900161616245513515614717478140160291782126.92%651084.62%028852355.07%28355051.45%12022353.81%35724937911018591
Total Séries éliminatoires77354200000239258-1938201800000122118439152400000117140-237023943066912198681452400174743783627255674689716903798422.16%3997381.70%61499280053.54%1495294050.85%624121351.44%182212471968595976476

Rangers 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
1Brent Burns45184260752788813213.64%77116525.89111728851121300.00%01.0300
2Ryan Johansen45172744-3234412214911.41%11102422.76610162810134056.18%10.8600
3Ryan Kesler411330432541481691876.95%25104825.57710176601152054.37%00.8200
4Justin Williams4571421-8102251848.33%181518.124482601101036.84%00.5100
5Nick Holden4561521-35712540787.69%4595421.20246360002010.00%00.4400

Rangers 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
1Brian Elliott3217940.9052.95191141949920100.0000
2Simeon Varlamov159420.9082.8692220444780000.0000
3Frederik Andersen125700.8923.5971801433980000.0000
4Mikko Koskinen72410.8973.4342000242340000.0000
5Cam Ward31200.8214.741520012670000.0000