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Centre de jeu
Blues
14-10-3, 31pts
1
FINAL
6 Wild
15-7-3, 33pts
Team Stats
W2StreakL1
8-2-2Home Record9-3-1
6-8-1Away Record6-4-2
5-3-2Last 10 Games8-2-0
3.33Goals Per Game3.72
3.30Goals Against Per Game3.04
18.40%Power Play Percentage17.56%
81.82%Penalty Kill Percentage83.49%
Devils
12-12-2, 26pts
7
FINAL
3 Wild
15-7-3, 33pts
Team Stats
OTL1StreakL1
7-5-1Home Record9-3-1
5-7-1Away Record6-4-2
6-3-1Last 10 Games8-2-0
3.23Goals Per Game3.72
3.35Goals Against Per Game3.04
17.74%Power Play Percentage17.56%
82.61%Penalty Kill Percentage83.49%
Flyers
8-16-1, 17pts
Jour 54
Wild
15-7-3, 33pts
Stats Équipe
L1SéquenceL1
2-10-0Fiche domicile9-3-1
6-6-1Fiche visiteur6-4-2
4-6-010 derniers matchs8-2-0
3.12Buts par match 3.72
3.88Buts contre par match 3.04
17.78%Pourcentage en avantage numérique17.56%
70.69%Pourcentage en désavantage numérique83.49%
Wild
15-7-3, 33pts
Jour 56
Islanders
12-10-4, 28pts
Stats Équipe
L1SéquenceL1
9-3-1Fiche domicile6-4-3
6-4-2Fiche visiteur6-6-1
8-2-010 derniers matchs6-3-1
3.72Buts par match 3.62
3.04Buts contre par match 3.58
17.56%Pourcentage en avantage numérique17.83%
83.49%Pourcentage en désavantage numérique84.00%
Wild
15-7-3, 33pts
Jour 57
Devils
12-12-2, 26pts
Stats Équipe
L1SéquenceOTL1
9-3-1Fiche domicile7-5-1
6-4-2Fiche visiteur5-7-1
8-2-010 derniers matchs6-3-1
3.72Buts par match 3.23
3.04Buts contre par match 3.35
17.56%Pourcentage en avantage numérique17.74%
83.49%Pourcentage en désavantage numérique82.61%
Meneurs d'équipe
Kyle ConnorButs
Kyle Connor
14
Evan BouchardPasses
Evan Bouchard
22
Kyle ConnorPoints
Kyle Connor
27
Kyle ConnorPlus/Moins
Kyle Connor
13
Lukas DostalVictoires
Lukas Dostal
14
Jeremy SwaymanPourcentage d’arrêts
Jeremy Swayman
0.9

Stats Équipe
Buts pour
93
3.72 GFG
Tirs pour
724
28.96 Avg
Pourcentage en avantage numérique
17.6%
23 GF
Début de zone offensive
40.0%
Buts contre
76
3.04 GAA
Tirs contre
741
29.64 Avg
Pourcentage en désavantage numérique
83.5%
18 GA
Début de la zone défensive
40.9%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralSimon Murray
EntraîneurJon Cooper
DivisionCentral
ConférenceWestern
CapitaineNick Suzuki
Assistant #1
Assistant #2Jesper Bratt
Uniformes
Informations de l’aréna
NomNorth Pole Arena
Capacité25,000
Assistance23,608
Billets de saison10,000
Information formation
Équipe Pro21
Équipe Mineure28
Limite contact 49 / 50
Espoirs4
Plafond salarial
Cap Salarial de la Saison estimé76,777,296$
Plafond salarial disponible13,222,704$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21
Finance
Revenu annuel à ce jour19,375,086$
Dépenses annuelles à ce jour23,991,264$
Revenus de la saison estimés41,730,954$
Dépenses de la saison estimées58,786,056$
Compte bancaire actuel-17,221,432$
Compte bancaire projeté-35,664,950$
Historique d'équipe
Saison actuelle15-7-3 (33PTS)
Historique855-647-156 (0.516%)
Apparitions séries éliminatoires 9
Historique séries éliminatoires (W-L)38-45
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
1Matthew BoldyX100.0055537890668999828186778090708075397702427,000,000$
2Lucas RaymondX100.0052448695538699854093777190687780397702378,000,000$
3William EklundX100.005645829150879676408468827368788039740231925,000$
4Cole PerfettiX100.0060448587528099704072687099687480397002333,800,000$
5Dawson MercerX100.0052438683518499637657698040707775396802423,500,000$
6Eetu LuostarinenX100.0094498377638098574055598240767860396702733,750,000$
7Jesper BoqvistX100.0097478679587796577752636869767760396602711,419,000$
8Kirby DachX100.0081587677808182617557645899707675396602413,500,000$
9Viktor ArvidssonX100.0051438384508089624055686562868335396603214,878,000$
10Radek FaksaX100.0078558175757791549252567273848140396503122,500,000$
11Samuel HoudeX100.004441878547605066706057584072667022600251750,000$
12Evan BouchardX100.0049498290638999824093718740748265397702615,000,000$
13Thomas HarleyX100.0050548685738996754076758440708075437502425,000,000$
14Erik CernakX100.0088657775848095574059558440787955397402844,850,000$
15Simon EdvinssonX100.006659737778859663406561844066768539730221925,000$
16Scott MayfieldX100.0072608275787888524047568540888330377103323,000,000$
17Mattias SamuelssonX100.0080598375838285564053587740727770397002533,000,000$
Rayé
1Nick Suzuki (C)X95.0058498896638899908799808776748165368202618,000,000$
2Kyle ConnorX96.0046488498558999944096917578808550358102911$
Équipe Mineure
1Andre LeeX100.008465787574705651404954614072717043590251750,000$
2Kurtis MacDermidX100.008188707588645945404050534084744036570312750,000$
3Ben JonesX100.008661827555696145404050594074726540560262750,000$
4Gabriel Szturc (R)X100.006146848856635339703841636066658524540223575,000$
5Tristan AllardX100.005444747563605040703643674068648026530232750,000$
6Brandon GignacX100.005652757557605041404241564078695526520283575,000$
7Milo Roelens (R)X100.008966727484605034702544574066638522520223575,000$
8Zac Funk (R)X100.006454718659605036403141584066638526520223575,000$
9Kevin GravelX100.006354807574656040404040594088773026600333575,000$
10Maxence GuenetteX100.0057507875706257444040497040706675266002421,000,000$
11Tim BerniX100.0088467875575550474043526140726470245902511,100,000$
12Wyatte WylieX100.006652827556605536403339624074676524570263575,000$
13Nicolas BeaudinX100.005739837553555040405130624074656526560263575,000$
14Will ButcherX100.004744867652555046404249574082694526560303575,000$
15Ole Bjorgvik-HolmX100.007064677568555033402738577368628024550233575,000$
16Robin SaloX100.005348847554555041404339504076666026540273575,000$
17Jeremy RoyX100.006559717561555030403030524078675524530282750,000$
18Victor MeteX100.004642837549555036404132534076666026530273575,000$
19Calle SjalinX100.004944817551555035403634564074656524530261825,000$
20Dominik BokkX100.006148857558605038403838504072667020500253575,000$
21Braeden Kressler (R)X100.004744759142605031703330594066638520490223575,000$
22Gleb Veremyev (R)X100.007760727972605029402830524066638520490223575,000$
23Thomas CaronX100.006666707566605031402636504072667019480251750,000$
24Brandon CutlerX100.006156697565605027402035544072667020470253575,000$
MOYENNE D’ÉQUIPE99.79655279806370705249515266517472663162
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
1Lukas Dostal100.008696998783838180817899727870358102522,500,000$
2Jeremy Swayman100.008699999081777778777896767760458002724,750,000$
Rayé
Équipe Mineure
1Maxime Lagace100.00755060875050505050505086683536580321750,000$
2Isaiah Saville100.00765060865050505050504072617028570253575,000$
3Alex D'Orio100.00755060925050505050507074626520570263575,000$
4Veini Vehvilainen100.00765060825050505050504078645520570283575,000$
MOYENNE D’ÉQUIPE100.0079667387616060606059667668593165
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jon Cooper71969984937754CAN5846,000,000$


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
1Evan BouchardWildD2552227114037355215329.62%4364825.934812321060222100000.00%000000.8300000103
2Kyle ConnorWildLW231413271320124691246215.38%656824.73325249511241163034.04%4700000.9502000332
3Nick SuzukiWildC2412132512160387165215618.46%958524.394372210210121112150.60%83600000.8512000341
4William EklundWildRW25121224-460332959164320.34%543017.233581496000020030.56%3600101.1100000211
5Lucas RaymondWildRW25417211312038355621487.14%353721.49167171070000550037.11%9700000.7802000012
6Matthew BoldyWildLW25101020-360403877186112.99%349519.8033612980003592155.81%4300000.8100000102
7Simon EdvinssonWildD254131741208212752214.81%3253321.352571396000182100.00%000000.6400000010
8Cole PerfettiWildC254812-46037434310319.30%244117.651451495000050133.82%54700000.5400000001
9Dawson MercerWildC258412-10054638101921.05%328111.2700017000001048.34%30200010.8500000200
10Thomas HarleyWildD2539123181040334910346.12%4063425.4016733107000098000.00%000000.3800101100
11Eetu LuostarinenWildRW25369-138041193811287.89%526610.6400002000001033.33%1500000.6800000001
12Erik CernakWildD2527942607611267177.69%3153721.481121496000075000.00%000000.3400000102
13Mattias SamuelssonWildD2517864204415151146.67%1934713.8900003000024000.00%000000.4600000000
14Viktor ArvidssonWildLW25358400082271113.64%21395.5700000000002016.67%1200001.1500000001
15Kirby DachWildLW25336-21803192351613.04%128911.56000010000061033.33%2400000.4200000001
16Scott MayfieldWildD2506685125201514370.00%1931612.660000300001000.00%000000.3800221010
17Jesper BoqvistWildRW2531454020141871016.67%01465.86000020000191052.78%3600000.5500000000
18Radek FaksaWildC2512344071911379.09%01295.1900000000000055.40%13900000.4600000001
19Samuel HoudeWildC3000000000010.00%041.410000000000000.00%700000.0000000000
Statistiques d’équipe totales ou en moyenne45092158250622753552750772419451912.71%223733216.2923436619610312351275914344.47%214100110.6816322141118
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
1Lukas DostalWild2514730.8992.98146940737210100.8005250110
2Jeremy SwaymanWild21000.9002.7943002200000.0000025000
Statistiques d’équipe totales ou en moyenne2715730.8992.97151340757410100.80052525110


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
Cole PerfettiWildC232002-01-01No185 Lbs5 ft11NoNoYes3Pro & Farm3,800,000$3,800,000$2,689,888$No3,800,000$3,800,000$
RFA
Lien / Lien NHL
Dawson MercerWildC242001-10-27No180 Lbs6 ft0NoNoYes2Pro & Farm3,500,000$3,500,000$2,477,528$No3,500,000$
RFA
Lien / Lien NHL
Eetu LuostarinenWildRW271998-09-02No191 Lbs6 ft3NoNoYes3Pro & Farm3,750,000$3,750,000$2,654,494$No3,750,000$3,750,000$
UFA
Lien / Lien NHL
Erik CernakWildD281997-05-28No230 Lbs6 ft4NoNoYes4Pro & Farm4,850,000$4,850,000$3,433,146$No4,850,000$4,850,000$4,850,000$
UFA
Lien / Lien NHL
Evan BouchardWildD261999-10-20No192 Lbs6 ft3NoNoYes1Pro Only5,000,000$5,000,000$3,539,326$No
RFA
Lien / Lien NHL
Jeremy SwaymanWildG271998-11-24No187 Lbs6 ft2NoNoYes2Pro & Farm4,750,000$4,750,000$3,362,360$No4,750,000$
UFA
Lien / Lien NHL
Jesper BoqvistWildRW271998-10-30No190 Lbs6 ft1NoNoNo1Pro & Farm1,419,000$1,419,000$1,004,461$No
UFA
Lien / Lien NHL
Kirby DachWildLW242001-01-21No221 Lbs6 ft4NoNoYes1Pro & Farm3,500,000$3,500,000$2,477,528$No
RFA
Lien / Lien NHL
Kyle ConnorWildLW291996-12-09No183 Lbs6 ft1YesNoYes1Pro Only1$1$1$No
UFA
Lien / Lien NHL
Lucas RaymondWildRW232002-03-28No188 Lbs5 ft11NoNoYes7Pro Only8,000,000$8,000,000$5,662,921$No8,000,000$8,000,000$8,000,000$8,000,000$8,000,000$8,000,000$
UFA
Lien / Lien NHL
Lukas DostalWildG252000-06-22No174 Lbs6 ft2NoNoYes2Pro & Farm2,500,000$2,500,000$1,769,663$No2,500,000$
RFA
Lien / Lien NHL
Matthew BoldyWildLW242001-04-05No201 Lbs6 ft2NoNoYes2Pro Only7,000,000$7,000,000$4,955,056$No7,000,000$
RFA
Lien / Lien NHL
Mattias SamuelssonWildD252000-03-14No227 Lbs6 ft4NoNoYes3Pro & Farm3,000,000$3,000,000$2,123,596$No3,000,000$3,000,000$
UFA
Lien / Lien NHL
Nick Suzuki (sur la masse salariale)WildC261999-08-10No207 Lbs5 ft11NoNoYes1Pro Only8,000,000$8,000,000$5,662,921$No
RFA
Lien / Lien NHL
Radek FaksaWildC311994-01-09No215 Lbs6 ft3NoNoYes2Pro & Farm2,500,000$2,500,000$1,769,663$No2,500,000$
UFA
Lien / Lien NHL
Samuel HoudeWildC252000-03-08No172 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$530,899$No
RFA
Lien / Lien NHL
Scott MayfieldWildD331992-10-14No213 Lbs6 ft5NoNoYes2Pro & Farm3,000,000$3,000,000$2,123,596$No3,000,000$
UFA
Lien / Lien NHL
Simon EdvinssonWildD222003-02-05No209 Lbs6 ft6NoNoNo1Pro & Farm925,000$925,000$654,775$No
RFA
Lien / Lien NHL
Thomas HarleyWildD242001-08-19No211 Lbs6 ft3NoNoYes2Pro Only5,000,000$5,000,000$3,539,326$No5,000,000$
RFA
Lien / Lien NHL
Viktor ArvidssonWildLW321993-04-08No185 Lbs5 ft10NoNoYes1Pro & Farm4,878,000$4,878,000$3,452,966$No
UFA
Lien / Lien NHL
William EklundWildRW232002-10-12No181 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$654,775$No
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2126.10197 Lbs6 ft22.053,668,905$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
77,047,001$51,650,000$23,400,000$12,850,000$8,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew BoldyLucas Raymond40122
2Kirby DachCole PerfettiWilliam Eklund30122
3Viktor ArvidssonDawson MercerEetu Luostarinen20122
4Radek FaksaJesper Boqvist10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardThomas Harley40122
2Erik CernakSimon Edvinsson30122
3Scott MayfieldMattias Samuelsson20122
4Evan BouchardThomas Harley10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew BoldyLucas Raymond60122
2Kirby DachCole PerfettiWilliam Eklund40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardThomas Harley60122
2Erik CernakSimon Edvinsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew Boldy60122
2Lucas RaymondWilliam Eklund40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardThomas Harley60122
2Erik CernakSimon Edvinsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Evan BouchardThomas Harley60122
2Matthew Boldy40122Erik CernakSimon Edvinsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew Boldy60122
2Lucas RaymondWilliam Eklund40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardThomas Harley60122
2Erik CernakSimon Edvinsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew BoldyLucas RaymondEvan BouchardThomas Harley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew BoldyLucas RaymondEvan BouchardThomas Harley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Houde, Dawson Mercer, Eetu LuostarinenSamuel Houde, Dawson MercerEetu Luostarinen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Mayfield, Mattias Samuelsson, Erik CernakScott MayfieldMattias Samuelsson, Erik Cernak
Tirs de pénalité
, Matthew Boldy, Lucas Raymond, William Eklund, Cole Perfetti
Gardien
#1 : Lukas Dostal, #2 : Jeremy Swayman


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
1Avalanche11000000413110000004130000000000021.00047110021102810135021615243133.33%4175.00%040985347.95%38087343.53%16340740.05%2619207125
2Blues2200000011382200000011380000000000041.0001118290043406828231704611314112216.67%13284.62%040985347.95%38087343.53%16340740.05%523642162412
3Bruins1000010034-11000010034-10000000000010.50035800210018945036102119500.00%60100.00%040985347.95%38087343.53%16340740.05%2113268136
4Capitals1000000134-1000000000001000000134-110.5003690002103181111432510216233.33%40100.00%040985347.95%38087343.53%16340740.05%3223197126
5Devils1010000037-41010000037-40000000000000.000358002100329131002954258112.50%2150.00%040985347.95%38087343.53%16340740.05%2517207137
6Ducks11000000321110000003210000000000021.00034700210025861102313818300.00%40100.00%140985347.95%38087343.53%16340740.05%2619217115
7Flames11000000532000000000001100000053221.000591400212041121415030519287342.86%2150.00%140985347.95%38087343.53%16340740.05%2719196137
8GoldenKnights1000010034-1000000000001000010034-110.5003580021004012111613591026200.00%50100.00%040985347.95%38087343.53%16340740.05%2821226116
9Hurricanes1010000013-2000000000001010000013-200.000123001000176101027161520500.00%50100.00%040985347.95%38087343.53%16340740.05%1912288115
10Islanders11000000413110000004130000000000021.00047110022003291112018128188112.50%40100.00%040985347.95%38087343.53%16340740.05%2517227126
11Jets22000000862110000005411100000032141.00081321005210571916220681320508112.50%10280.00%040985347.95%38087343.53%16340740.05%463248142512
12Lightning10000010321000000000001000001032121.000336001101318131033211622400.00%30100.00%040985347.95%38087343.53%16340740.05%3022216137
13Mammoth1010000034-1000000000001010000034-100.00036900102038131015026914304125.00%7271.43%040985347.95%38087343.53%16340740.05%2719197126
14Panthers11000000312000000000001100000031221.000347000120246810038121116500.00%20100.00%040985347.95%38087343.53%16340740.05%2114257126
15Predators3210000016142211000009901100000075240.6671628440037607119282409831266514535.71%13469.23%040985347.95%38087343.53%16340740.05%745367213818
16Rangers211000007611010000045-11100000031220.500714210004303511101407729243910220.00%12283.33%040985347.95%38087343.53%16340740.05%443050142412
17RedWings1010000023-1000000000001010000023-100.0002460020003361413027310198112.50%5180.00%040985347.95%38087343.53%16340740.05%2517217126
18Sharks11000000431110000004310000000000021.0004711001120368101802866187228.57%2150.00%040985347.95%38087343.53%16340740.05%2820196127
19Stars21100000752110000004131010000034-120.50071118002230672221240501721281218.33%6183.33%040985347.95%38087343.53%16340740.05%574339122312
Total251470021193761713930010054401412540011139363330.6609315825100343127172422324625387412232795271312317.56%1091883.49%240985347.95%38087343.53%16340740.05%643453560181311158
_Since Last GM Reset251470021193761713930010054401412540011139363330.6609315825100343127172422324625387412232795271312317.56%1091883.49%240985347.95%38087343.53%16340740.05%643453560181311158
_Vs Conference1511300100644519981000004023176320010024222230.767641081720024192104711511521671425120170328721622.22%661478.79%240985347.95%38087343.53%16340740.05%39628332110618594
_Vs Division108200000462917761000003318153210000013112160.80046771230016151502919810192028378113208491020.41%461078.26%040985347.95%38087343.53%16340740.05%2571842187212362

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2533L19315825172474122327952700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2514702119376
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
139301005440
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
125401113936
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1312317.56%1091883.49%2
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
22324625383431271
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
40985347.95%38087343.53%16340740.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
643453560181311158


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
14Wild3Stars4ALSommaire du match
324Bruins4Wild3BLXSommaire du match
540Jets4Wild5BWSommaire du match
752Wild3Mammoth4ALSommaire du match
975Wild3GoldenKnights4ALXSommaire du match
1396Predators5Wild3BLSommaire du match
15109Wild1Hurricanes3ALSommaire du match
16124Wild3Capitals4ALXXSommaire du match
19144Avalanche1Wild4BWSommaire du match
21159Islanders1Wild4BWSommaire du match
22167Rangers5Wild4BLSommaire du match
24184Stars1Wild4BWSommaire du match
27204Sharks3Wild4BWSommaire du match
30227Wild3Panthers1AWSommaire du match
31239Wild3Lightning2AWXXSommaire du match
33250Wild7Predators5AWSommaire du match
35259Predators4Wild6BWSommaire du match
36267Wild5Flames3AWSommaire du match
40303Wild3Jets2AWSommaire du match
42314Blues2Wild5BWSommaire du match
44330Wild2RedWings3ALSommaire du match
45339Wild3Rangers1AWSommaire du match
47352Ducks2Wild3BWSommaire du match
49366Blues1Wild6BWSommaire du match
51384Devils7Wild3BLSommaire du match
54403Flyers-Wild-
56419Wild-Islanders-
57426Wild-Devils-
59442Oilers-Wild-
61453Wild-Sabres-
64474Blackhawks-Wild-
65486Wild-Stars-
70503Wild-Avalanche-
72516Wild-GoldenKnights-
74526BlueJackets-Wild-
76542Ducks-Wild-
78555Kings-Wild-
79565Wild-Flyers-
81579RedWings-Wild-
83594Jets-Wild-
85605Wild-Bruins-
86617Wild-Canadiens-
88632Wild-Senators-
90651Wild-MapleLeafs-
93670Penguins-Wild-
95689Wild-Jets-
97694Wild-Blackhawks-
99721Stars-Wild-
101738Wild-Penguins-
103751Sharks-Wild-
106771Flames-Wild-
108788Panthers-Wild-
110803Canadiens-Wild-
114831Wild-Oilers-
115834Wild-Flames-
117855Wild-Canucks-
120870MapleLeafs-Wild-
122884Wild-BlueJackets-
124899Mammoth-Wild-
128933Jets-Wild-
129948Senators-Wild-
132967Wild-Blackhawks-
133973Sabres-Wild-
135990Canucks-Wild-
1371004Capitals-Wild-
1391017Wild-Blues-
1411031Wild-Ducks-
1421041Wild-Kings-
1441054Wild-Sharks-
1471075Wild-Blues-
1511100Wild-Oilers-
1521106Wild-Canucks-
1541118Avalanche-Wild-
1561136Kings-Wild-
1611163Lightning-Wild-
1621172Wild-Stars-
1651187Mammoth-Wild-
1661196Wild-Predators-
1681208Hurricanes-Wild-
1691220Blackhawks-Wild-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1741249GoldenKnights-Wild-
1761260Wild-Avalanche-


Charte de profondeur
Ailier gaucheCentreAilier droit
Kyle Connor
Kyle Connor
AGE:29
SK:98
EN:89
DU:99
PH:94
PA:96
SC:91
DF:75
Matthew Boldy
Matthew Boldy
AGE:24
SK:90
EN:89
DU:99
PH:82
PA:86
SC:77
DF:80
Kirby Dach
Kirby Dach
AGE:24
SK:77
EN:81
DU:82
PH:61
PA:57
SC:64
DF:58
Viktor Arvidsson
Viktor Arvidsson
AGE:32
SK:84
EN:80
DU:89
PH:62
PA:55
SC:68
DF:65
Andre Lee
Andre Lee
AGE:25
SK:75
EN:70
DU:56
PH:51
PA:49
SC:54
DF:61
Kurtis MacDermid
Kurtis MacDermid
AGE:31
SK:75
EN:64
DU:59
PH:45
PA:40
SC:50
DF:53
Zac Funk (R)
Zac Funk
AGE:22
SK:86
EN:60
DU:50
PH:36
PA:31
SC:41
DF:58
Dominik Bokk
Dominik Bokk
AGE:25
SK:75
EN:60
DU:50
PH:38
PA:38
SC:38
DF:50
Brandon Cutler
Brandon Cutler
AGE:25
SK:75
EN:60
DU:50
PH:27
PA:20
SC:35
DF:54
Nick Suzuki
Nick Suzuki
AGE:26
SK:96
EN:88
DU:99
PH:90
PA:99
SC:80
DF:87
Cole Perfetti
Cole Perfetti
AGE:23
SK:87
EN:80
DU:99
PH:70
PA:72
SC:68
DF:70
Dawson Mercer
Dawson Mercer
AGE:24
SK:83
EN:84
DU:99
PH:63
PA:57
SC:69
DF:80
Radek Faksa
Radek Faksa
AGE:31
SK:75
EN:77
DU:91
PH:54
PA:52
SC:56
DF:72
Samuel Houde
Samuel Houde
AGE:25
SK:85
EN:60
DU:50
PH:66
PA:60
SC:57
DF:58
Gabriel Szturc (R)
Gabriel Szturc
AGE:22
SK:88
EN:63
DU:53
PH:39
PA:38
SC:41
DF:63
Tristan Allard
Tristan Allard
AGE:23
SK:75
EN:60
DU:50
PH:40
PA:36
SC:43
DF:67
Milo Roelens (R)
Milo Roelens
AGE:22
SK:74
EN:60
DU:50
PH:34
PA:25
SC:44
DF:57
Braeden Kressler (R)
Braeden Kressler
AGE:22
SK:91
EN:60
DU:50
PH:31
PA:33
SC:30
DF:59
Lucas Raymond
Lucas Raymond
AGE:23
SK:95
EN:86
DU:99
PH:85
PA:93
SC:77
DF:71
William Eklund
William Eklund
AGE:23
SK:91
EN:87
DU:96
PH:76
PA:84
SC:68
DF:82
Eetu Luostarinen
Eetu Luostarinen
AGE:27
SK:77
EN:80
DU:98
PH:57
PA:55
SC:59
DF:82
Jesper Boqvist
Jesper Boqvist
AGE:27
SK:79
EN:77
DU:96
PH:57
PA:52
SC:63
DF:68
Ben Jones
Ben Jones
AGE:26
SK:75
EN:69
DU:61
PH:45
PA:40
SC:50
DF:59
Brandon Gignac
Brandon Gignac
AGE:28
SK:75
EN:60
DU:50
PH:41
PA:42
SC:41
DF:56
Gleb Veremyev (R)
Gleb Veremyev
AGE:22
SK:79
EN:60
DU:50
PH:29
PA:28
SC:30
DF:52
Thomas Caron
Thomas Caron
AGE:25
SK:75
EN:60
DU:50
PH:31
PA:26
SC:36
DF:50

Défense #1Défense #2Gardien
Evan Bouchard
Evan Bouchard
AGE:26
SK:90
EN:89
DU:99
PH:82
PA:93
SC:71
DF:87
Thomas Harley
Thomas Harley
AGE:24
SK:85
EN:89
DU:96
PH:75
PA:76
SC:75
DF:84
Erik Cernak
Erik Cernak
AGE:28
SK:75
EN:80
DU:95
PH:57
PA:59
SC:55
DF:84
Simon Edvinsson
Simon Edvinsson
AGE:22
SK:77
EN:85
DU:96
PH:63
PA:65
SC:61
DF:84
Scott Mayfield
Scott Mayfield
AGE:33
SK:75
EN:78
DU:88
PH:52
PA:47
SC:56
DF:85
Mattias Samuelsson
Mattias Samuelsson
AGE:25
SK:75
EN:82
DU:85
PH:56
PA:53
SC:58
DF:77
Maxence Guenette
Maxence Guenette
AGE:24
SK:75
EN:62
DU:57
PH:44
PA:40
SC:49
DF:70
Kevin Gravel
Kevin Gravel
AGE:33
SK:75
EN:65
DU:60
PH:40
PA:40
SC:40
DF:59
Tim Berni
Tim Berni
AGE:25
SK:75
EN:55
DU:50
PH:47
PA:43
SC:52
DF:61
Wyatte Wylie
Wyatte Wylie
AGE:26
SK:75
EN:60
DU:55
PH:36
PA:33
SC:39
DF:62
Nicolas Beaudin
Nicolas Beaudin
AGE:26
SK:75
EN:55
DU:50
PH:40
PA:51
SC:30
DF:62
Will Butcher
Will Butcher
AGE:30
SK:76
EN:55
DU:50
PH:46
PA:42
SC:49
DF:57
Ole Bjorgvik-Holm
Ole Bjorgvik-Holm
AGE:23
SK:75
EN:55
DU:50
PH:33
PA:27
SC:38
DF:57
Robin Salo
Robin Salo
AGE:27
SK:75
EN:55
DU:50
PH:41
PA:43
SC:39
DF:50
Calle Sjalin
Calle Sjalin
AGE:26
SK:75
EN:55
DU:50
PH:35
PA:36
SC:34
DF:56
Victor Mete
Victor Mete
AGE:27
SK:75
EN:55
DU:50
PH:36
PA:41
SC:32
DF:53
Jeremy Roy
Jeremy Roy
AGE:28
SK:75
EN:55
DU:50
PH:30
PA:30
SC:30
DF:52
Lukas Dostal
Lukas Dostal
AGE:25
SK:86
AG:83
RB:83
SC:81
HS:80
RT:81
DF:78
Jeremy Swayman
Jeremy Swayman
AGE:27
SK:86
AG:81
RB:77
SC:77
HS:78
RT:77
DF:78
Maxime Lagace
Maxime Lagace
AGE:32
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Isaiah Saville
Isaiah Saville
AGE:25
SK:76
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Alex D'Orio
Alex D'Orio
AGE:26
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Veini Vehvilainen
Veini Vehvilainen
AGE:28
SK:76
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
David HrenakWild2032181
Linus Lindstrand CronholmWild2032151
Petr KvacaWild2031158
Tyler WeissWild2032134

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2041
2042



Wild 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
1Zach Hamill1612278465743-7416072208207829239.51%9072643716.40548914332644869451452.91%60.561039
2Francois Beauchemin884179490669-11113292359163621188.45%14852303626.06981732711105279202613100.00%00.5803
3David Perron7882593385971465714771099243510.64%1241598320.287314221561043724381734.35%30.751658
4Artem Anisimov702220307527132085191793203110.83%1921523421.7065126191543291133322052.46%30.691145
5Blake Wheeler389203268471295581242859191010.63%89904523.257811819654642636401434.94%101.04743

Wild 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
1Niklas Backstrom477217195460.9023.00277584113138914212292826100.800250
2Andrei Vasilevskiy1469241100.9042.7286288439140740650.75954
3Cam Ward1395870110.8933.16819420543240560940.70561
4Ben Scrivens1115432150.9052.86624110129731360600.74374
5Viktor Fasth1215441140.8903.29664717236433110610.61747

Wild 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
20178238280336426925118412213011131381182041161502251131133-285269439708020819089277208869938692542807136019523005418.00%1712187.72%21141212853.62%1041197952.60%715135652.73%173596819018341511758
201882233802667206251-4541111702443106128-2241122100224100123-2356206327533220447480238806768428262568875115316632223616.22%2274181.94%4957195448.98%1000202149.48%666129951.27%159581417877951617810
2019822731035610240261-214182002425106148-42411911011451341132165240370610210568293256507308968862580757110017292195223.74%2354282.13%71028204850.20%1074209351.31%666123653.88%160483518278041588791
202082273805273228240-1241141803132111119-841132002141117121-466228345573320568971248107278918372607835112918442183716.97%2383585.29%21054202352.10%938207445.23%595116750.99%162086018097951551754
202182243907273242253-1141152003021119121-24191904252123132-96424241665821083628325510791821895252773788617894157718.55%3607978.06%21504301649.87%1429298347.90%607129646.84%1934131419986281054520
202282353502334257263-641181702202123132-94117180013213413137725746972625082987225840843911807252175289417664168620.67%3487877.59%51424306246.51%1393293447.48%650133248.80%1974134019436181045530
202382412302475281241404121110124214712522412012012331341161890281484765120999083267008848698902404734920177748310020.70%3637778.79%31561317449.18%1376295646.55%618132846.54%1999137319566221038525
2024823434052432982908411619012211531512411815040221451396912985418390201189675271908479249162510672894173046711223.98%3557180.00%31591316750.24%1420303946.73%682135350.41%1977134819536291045527
202582263605546265288-2341111703334131145-1441151902212134143-9812654807451001019461260008458848382529718877180941910023.87%3558875.21%51521305349.82%1465299848.87%652134348.55%1981134819496271055529
202682402302287306249574123100123215511738411713010551511321910930654685213010998892825089095693525717811018184344411826.58%4047082.67%11626325949.89%1506310448.52%621130447.62%1998136819636311039521
202782313404373252270-1841151603052132127541161801321120143-2390252440692240887380261408128678972431706103917894449220.72%4318680.05%21695309154.84%1491294950.56%666132250.38%1991135019346241056536
203082254501047218260-4241112300034106135-2941142201013112125-136721837959722086656222800776725754243171699818384318519.72%4559180.00%71397281949.56%1422299847.43%617127648.35%1991135619416261044521
203182254202616230313-8341142100213119168-4941112102403111145-3468230415645120857468242807728078162725793107118323907318.72%4409877.73%41464285651.26%1480302348.96%692137950.18%1871126020586301043510
203282234500347234298-6441112300133113151-3841122200214121147-2664234414648300867668249308628587452752804101418224146716.18%4087681.37%51430298147.97%1493311048.01%658136048.38%1887127120476361047516
203382511901173319224954129900030180117634122100114313910732122319562881330101103107267408718709062287661100717984519621.29%4207781.67%61752313855.83%1537283354.25%717135053.11%2141151118065951026528
20348239320132530527926412214012021551183741171800123150161-119230554084513011710184296709569901004248070794118114269422.07%4107880.98%61879328857.15%1514287652.64%705134152.57%2043142718986111024512
203582531802135336243934128701023174115594125110111216212834122336594930340122100109306309909531083246172488116894259221.65%3746881.82%41832336354.48%1583290554.49%748139353.70%2054144218825981030527
203682561405322369238131413140311117710968412510022111921296313136966310321301251389930890107298999323906821015177148312225.26%4047880.69%81880329857.00%1576289454.46%753137754.68%2135151118065921017524
203782234206434295344-4941131904122158169-1141102302312137175-3872295540835511068892102510832759888552733752103318793597320.33%44811275.00%51340283247.32%1416297247.64%709145948.59%1886128320476151039505
2038824724016223192655441261000401172135374121140122114713017108319568887031141119152837932932955352573685891174242510224.00%3777081.43%31573309150.89%1462291850.10%706138750.90%2019140819105961022519
2039251470021193761713930010054401412540011139363339315825100343127172422324625387412232795271312317.56%1091883.49%240985347.95%38087343.53%16340740.05%643453560181311158
Total Saison régulière166570264705966949755625397165833368311031334446282926881418323343360283350512733270924175355629690152523545254186918131489538341987171671814215995513631512120400364007982169121.19%7332145480.17%86300585849451.39%279965653249.52%136062706550.27%390852585138983132972321011630
Séries éliminatoires
20172213900000675981293000004023171046000002736-92667119186000172524696018925923767020924159339615.38%40490.00%025552948.20%25349750.91%17733353.15%45124423821049434212
2023624000001422-8321000001110130300000312-941423370002551520474055232598113228932.14%361169.44%09719948.74%11627542.18%4610344.66%14191163508240
2026404000001222-1020200000813-52020000049-50122133000345135056394013838559416318.75%24675.00%08015750.96%7915451.30%418051.25%8858102314923
2027514000001425-1121100000109130300000416-1221425390004731500465549200486213822418.18%30873.33%08518146.96%9220544.88%409044.44%11275126376130
2033624000001124-133120000068-231200000516-114112031100253179053626219337781133026.67%35974.29%012121855.50%12323452.56%549556.84%147102138447536
2034514000001223-112020000049-531200000814-621221330003631470525639185485711018211.11%25868.00%08218943.39%9117851.12%367945.57%11374121376431
203513670000053467734000002925463300000242131253881410002214164690145158135462123170311611524.59%67986.57%028651155.97%30453257.14%12624152.28%32622532710217084
2036151050000064511387100000392712734000002524120641181820101821244940157156168527141184352581627.59%861879.07%028854652.75%32458855.10%14227551.64%36625536610918692
2038734000002226-4312000001012-2422000001214-26223961001174018982683902697711315734720.59%46882.61%19921546.05%14129547.80%4610942.20%14798185538741
Total Séries éliminatoires83384500000269298-29422418000001571362141142700000112162-507626947474311117891832611828138647852876780104120003066420.92%3898179.18%11393274550.75%1523295851.49%708140550.39%18951226391315151210593

Wild 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
1Zach Hamill39667119186282415935076969.63%209674417.03691524000613450.40%20.5500
2Aleksander Barkov3115274252229614010.71%966921.6139123200032156.80%01.2500
3Jason Robertson28231740810275714316.08%359121.1393123300003041.07%01.3500
4Brayden Schenn39122032-8461327211810.17%572818.69311143600033053.04%00.8800
5Sam Reinhart39121830-7286011310.62%273418.8348122500004150.00%00.8200

Wild 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
1Ben Bishop2313720.9122.6013642059670291000.0000
2Ilya Sorokin1510320.9033.3391841515270000.0000
3Thomas Greiss104400.8893.6154800332980200.0000
4Jeremy Swayman73310.9033.7241920262690100.0000
5Mike Smith62310.9133.1236660192180000.0000