Connexion

Sens
GP: 4 | W: 2 | L: 0 | OTL: 2 | P: 6
GF: 12 | GA: 11 | PP%: 21.43% | PK%: 91.67%
DG: Pascal Lyrette | Morale : 49 | Moyenne d’équipe : 78
Prochains matchs #54 vs Thunder
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Centre de jeu
Thunder
3-0-1, 7pts
4
FINAL
3 Sens
2-0-2, 6pts
Team Stats
W1SéquenceW1
1-0-1Fiche domicile0-0-2
2-0-0Fiche visiteur2-0-0
3-0-1Derniers 10 matchs2-0-2
4.00Buts par match 3.00
3.00Buts contre par match 2.75
26.67%Pourcentage en avantage numérique21.43%
78.57%Pourcentage en désavantage numérique91.67%
Sens
2-0-2, 6pts
4
FINAL
2 Whalers
1-3-0, 2pts
Team Stats
W1SéquenceL3
0-0-2Fiche domicile1-1-0
2-0-0Fiche visiteur0-2-0
2-0-2Derniers 10 matchs1-3-0
3.00Buts par match 2.00
2.75Buts contre par match 3.00
21.43%Pourcentage en avantage numérique7.69%
91.67%Pourcentage en désavantage numérique91.67%
Thunder
3-0-1, 7pts
Jour 8
Sens
2-0-2, 6pts
Statistiques d’équipe
W1SéquenceW1
1-0-1Fiche domicile0-0-2
2-0-0Fiche visiteur2-0-0
3-0-110 derniers matchs2-0-2
4.00Buts par match 3.00
3.00Buts contre par match 3.00
26.67%Pourcentage en avantage numérique21.43%
78.57%Pourcentage en désavantage numérique91.67%
Sens
2-0-2, 6pts
Jour 10
Penguins
3-1-0, 6pts
Statistiques d’équipe
W1SéquenceW1
0-0-2Fiche domicile1-0-0
2-0-0Fiche visiteur2-1-0
2-0-210 derniers matchs3-1-0
3.00Buts par match 3.25
2.75Buts contre par match 3.25
21.43%Pourcentage en avantage numérique0.00%
91.67%Pourcentage en désavantage numérique88.89%
Sens
2-0-2, 6pts
Jour 12
Thunder
3-0-1, 7pts
Statistiques d’équipe
W1SéquenceW1
0-0-2Fiche domicile1-0-1
2-0-0Fiche visiteur2-0-0
2-0-210 derniers matchs3-0-1
3.00Buts par match 4.00
2.75Buts contre par match 4.00
21.43%Pourcentage en avantage numérique26.67%
91.67%Pourcentage en désavantage numérique78.57%
Meneurs d'équipe
Buts
Nathan Mackinnon
4
Passes
J.T. Miller
5
Points
J.T. Miller
5
Plus/Moins
Dylan Larkin
1
Victoires
Marc-Andre Fleury
2
Pourcentage d’arrêts
Marc-Andre Fleury
0.93

Statistiques d’équipe
Buts pour
12
3.00 GFG
Tirs pour
140
35.00 Avg
Pourcentage en avantage numérique
21.4%
3 GF
Début de zone offensive
39.8%
Buts contre
11
2.75 GAA
Tirs contre
129
32.25 Avg
Pourcentage en désavantage numérique
91.7%%
1 GA
Début de la zone défensive
36.4%
Informations de l'équipe

Directeur généralPascal Lyrette
EntraîneurBarry Trotz
DivisionRichard
ConférenceConférence Gretzky
CapitaineNathan Mackinnon
Assistant #1
Assistant #2


Informations de l’aréna

NomPlace Banque Scotia
Capacité18,430
Assistance15,841
Billets de saison7,372


Informations de la formation

Équipe Pro20
Équipe Mineure11
Limite contact 31 / 55
Espoirs17


Plafond salarial Non Activé

Cap Salarial de la Saison estimé84,187,286$
Plafond salarial disponible812,714$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour3,387,157$
Dépenses annuelles à ce jour4,383,827$
Revenus de la saison estimés66,049,562$
Dépenses de la saison estimées81,413,930$
Compte bancaire actuel-10,574,997$
Compte bancaire projeté-27,857,829$


Historique d'équipe

Saison actuelle2-0-2 (6PTS)
Historique127-97-34 (0.492%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)3-8
Coupe Stanley0


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
1Nathan Mackinnon (C)X100.007464919483888495779793818885940508502816,300,000$
2J.T. MillerXXX100.009370848788869486838785818385890508103115,250,000$
3Matthew TkachukXX100.007676678486869292559490786980900508102689,500,000$
4Tim StützleX100.008657859078879189628889797671820508002213,425,000$
5Dylan LarkinX100.007163889681859386898685788378880507902716,100,000$
6Brady TkachukX100.009474688391849486748686656374860507802468,214,286$
7Alex KillornXX100.007467888984839383508382837591910507803414,450,000$
8Charlie CoyleXX100.007569928389829377857975958189870507803242,500,000$
9Brandon HagelX100.007556869175849383508184946272780507702521,500,000$
10Zach PariseXX100.0079609390848293745068798655979005075N03911,500,000$
11Colton SissonsXXX100.009165948484819271877071885081800507303042,900,000$
12Anton LundellXX100.006858878376828374697672806871750507202221,775,000$
13Hampus LindholmX100.0078658587848995785085718950848505080N03086,500,000$
14Erik KarlssonX100.0068589093789399905096836167889205080N03319,700,000$
15Jeff PetryX100.009569918687887275508268825086870507903622,498,000$
16Moritz SeiderX100.009364898986899775508366835069760507802321,775,000$
17Marcus PetterssonX100.00916582848186796950786080507576050750273650,000$
18Jake Sanderson (R)X100.007160969479879172507965855068720477502121,850,000$
Rayé
Équipe Mineure
1Jack Quinn (R)X100.007155958475798376507774717668720487102231,775,000$
2Darren HelmXX100.0085639293857540605460607650908405167N0371650,000$
3Christopher TanevX100.007458938777867565506960875083830517403421,851,001$
4Erik GudbransonX100.0088798380898782645068607550828104873N0324650,000$
5Josh Mahura (R)X100.00826087918180916650676572507174051710251750,000$
6Sean WalkerX100.008063898684807866506765725072740517002921,100,000$
7Dylan Samberg (R)X100.008564918587807165506564805068690517002511,175,000$
8Justin Barron (R)X100.008258898681824472507569635068700517002221,158,333$
9Ian Mitchell (R)X100.006953958273814065506961645068670516602511,775,000$
MOYENNE D’ÉQUIPE100.0081648688838690816383788265808405078
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
1Alexandar Georgiev (R)100.008491918183848184808483737905181N02833,400,000$
2Marc-Andre Fleury100.007783828481807780787778999405180N03914,400,000$
Rayé
Équipe Mineure
1Mads Sogaard (R)100.0072706890707377767872786668052710232925,000$
2Arvid Soderblom (R)100.0075686784747468717273696567052690241925,000$
MOYENNE D’ÉQUIPE100.008187878382827982798181868705181
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz86857989999299CAN5841,610,510$


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
1J.T. MillerSensC/LW/RW4055-1207511490%58421.13033314000000055.46%11911001.1803000010
2Nathan MackinnonSensRW4415-120452281318.18%48020.05213414000000071.43%730011.2503000100
3Brady TkachukSensLW4033-260193103100%49022.670224140001200100.00%710000.6600000000
4Matthew TkachukSensLW/RW41231409512588.33%06416.17000010000000125.00%401000.9333000010
5Dylan LarkinSensC41121004411049.09%47518.93000010000030059.32%5911000.5301000100
6Charlie CoyleSensC/RW4022100336010%36115.42000000000120074.51%5111000.6501000001
7Tim StützleSensLW411214044105310.00%16616.69000010000000133.33%652000.6013000000
8Brandon HagelSensLW41121002593411.11%05614.010000000011200100.00%121000.7100000100
9Alex KillornSensLW/RW41010204484312.50%24812.21000000000101100.00%142000.4101000000
10Hampus LindholmSensD40110008108520%711528.76000115000212000%003000.1700000000
11Anton LundellSensC/LW41010000053020.00%0287.130000000000100%000000.7001000000
12Moritz SeiderSensD4011140473100%47819.690000800007000%012000.2500000000
13Erik KarlssonSensD41010003582612.50%311328.45101116000012000%044000.1800000001
14Jeff PetrySensD4000000472010%28922.260000800009000%00100000000000
15Marcus PetterssonSensD4000000223000%05213.150000000000000%00000000000000
16Colton SissonsSensC/LW/RW4000-100223040%0348.6000000000060047.06%170000000000000
17Jake SandersonSensD4000055022030%44611.730000000001000%00100000010000
18Zach PariseSensLW/RW4000-100527340%0348.600000000006000%02000000000000
Statistiques d’équipe totales ou en moyenne721118290295847514046757.86%43122216.98369131230004881360.29%2722520010.47416010322
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
1Marc-Andre FleurySens42020.9302.1225500912966000.6881640000
Statistiques d’équipe totales ou en moyenne42020.9302.1225500912966001640000


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alex KillornSensLW/RW341989-09-14 21:26:19No205 Lbs6 ft2NoNoTrade2024-04-22NoNo1Pro Only4,450,000$4,222,628$4,450,000$4,222,628$No------------------Lien
Alexandar GeorgievSensG281996-02-10 15:26:20Yes178 Lbs6 ft1YesNoFree AgentNoNo32024-03-15Pro Only3,400,000$3,226,277$3,400,000$3,226,277$No3,400,000$3,400,000$-------YesYes-------
Anton LundellSensC/LW222001-10-03 16:47:14No185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,775,000$1,684,307$1,775,000$1,684,307$No1,775,000$--------No--------
Brady TkachukSensLW241999-09-16 09:02:30No212 Lbs6 ft4NoNoN/ANoNo6Pro Only8,214,286$7,794,578$8,214,286$7,794,578$No8,214,286$8,214,286$8,214,286$8,214,286$8,214,286$----NoNoNoNoNo----
Brandon HagelSensLW251998-08-27 12:36:57No174 Lbs5 ft11NoNoTrade2024-04-18NoNo2Pro & Farm1,500,000$1,423,358$1,500,000$1,423,358$No1,500,000$--------No--------Lien
Charlie CoyleSensC/RW321992-03-02 15:26:19No221 Lbs6 ft3NoNoN/ANoNo4Pro Only2,500,000$2,372,263$2,500,000$2,372,263$No2,500,000$2,500,000$2,500,000$------NoNoNo------Lien
Colton SissonsSensC/LW/RW301993-11-05 21:26:19No200 Lbs6 ft1NoNoN/ANoNo4Pro Only2,900,000$2,751,825$2,900,000$2,751,825$No2,900,000$2,900,000$2,900,000$------NoNoNo------Lien
Dylan LarkinSensC271996-07-30 15:26:19No198 Lbs6 ft1NoNoN/ANoNo1Pro & Farm6,100,000$5,788,321$6,100,000$5,788,321$No------------------Lien
Erik KarlssonSensD331990-05-31 03:26:19No191 Lbs6 ft0YesNoFree AgentNoNo12024-03-25Pro Only9,700,000$9,204,380$9,700,000$9,204,380$No------------------Lien
Hampus LindholmSensD301994-01-20 03:26:19No208 Lbs6 ft3YesNoFree AgentNoNo82024-03-15Pro Only6,500,000$6,167,883$6,500,000$6,167,883$No6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$--YesYesYesYesYesYesYes--Lien
J.T. MillerSensC/LW/RW311993-03-14 21:26:19No218 Lbs6 ft1NoNoTrade2024-04-18NoNo1Pro Only5,250,000$4,981,752$5,250,000$4,981,752$No------------------Lien
Jake SandersonSensD212002-07-08 10:45:19Yes203 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,850,000$1,755,474$1,850,000$1,755,474$No1,850,000$--------No--------
Jeff PetrySensD361987-12-09 09:26:19No195 Lbs6 ft3NoNoTrade2024-02-21NoNo2Pro Only2,498,000$2,370,365$2,498,000$2,370,365$No2,498,000$--------No--------Lien
Marc-Andre FleurySensG391984-11-28 15:26:20No185 Lbs6 ft2YesNoFree AgentNoNo12024-04-06Pro Only4,400,000$4,175,182$4,400,000$4,175,182$No------------------
Marcus PetterssonSensD271996-05-08 16:53:32No177 Lbs6 ft3NoNoN/ANoNo3Pro Only650,000$616,788$650,000$616,788$No650,000$650,000$-------NoNo-------Lien
Matthew TkachukSensLW/RW261997-12-11 21:26:19No202 Lbs6 ft2NoNoFree AgentNoNo82024-03-03Pro Only9,500,000$9,014,599$9,500,000$9,014,599$No9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$--NoNoNoNoNoNoNo--Lien
Moritz SeiderSensD232001-04-06 14:31:34No204 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,775,000$1,684,307$1,775,000$1,684,307$No1,775,000$--------No--------
Nathan MackinnonSensRW281995-09-01 09:26:19No205 Lbs6 ft0NoNoN/ANoNo1Pro Only6,300,000$5,978,102$6,300,000$5,978,102$No------------------Lien
Tim StützleSensLW222002-01-15 10:02:10No187 Lbs6 ft1NoNoN/ANoNo1Pro & Farm3,425,000$3,250,000$3,425,000$3,250,000$No------------------Lien
Zach PariseSensLW/RW391984-07-28 15:26:19No196 Lbs5 ft11YesNoFree AgentNoNo12024-03-15Pro & Farm1,500,000$1,423,358$1,500,000$1,423,358$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.85197 Lbs6 ft22.704,209,364$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
84,187,286$43,062,286$33,664,286$29,614,286$24,214,286$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brady TkachukJ.T. MillerNathan Mackinnon40122
2Tim StützleDylan LarkinMatthew Tkachuk30122
3Brandon HagelCharlie CoyleAlex Killorn20122
4Anton LundellColton SissonsZach Parise10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hampus LindholmErik Karlsson40122
2Jeff PetryMoritz Seider30122
3Marcus PetterssonJake Sanderson20122
4Erik KarlssonHampus Lindholm10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brady TkachukJ.T. MillerNathan Mackinnon60122
2Tim StützleDylan LarkinMatthew Tkachuk40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hampus LindholmErik Karlsson60122
2Jeff PetryMoritz Seider40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Charlie CoyleBrandon Hagel60122
2Colton SissonsZach Parise40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hampus LindholmErik Karlsson60122
2Jeff PetryMoritz Seider40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Charlie Coyle60122Jake SandersonMoritz Seider60122
2Brandon Hagel40122Hampus LindholmJeff Petry40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Charlie CoyleAlex Killorn60122
2J.T. MillerNathan Mackinnon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hampus LindholmErik Karlsson60122
2Jeff PetryMoritz Seider40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew TkachukJ.T. MillerNathan MackinnonHampus LindholmErik Karlsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon HagelCharlie CoyleColton SissonsHampus LindholmJake Sanderson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Charlie Coyle, Brady Tkachuk, Brandon HagelCharlie Coyle, Brady TkachukBrandon Hagel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marcus Pettersson, Jake Sanderson, Jeff PetryMarcus PetterssonJake Sanderson, Hampus Lindholm
Tirs de pénalité
Nathan Mackinnon, J.T. Miller, Matthew Tkachuk, Tim Stützle, Dylan Larkin
Gardien
#1 : Marc-Andre Fleury, #2 : Alexandar Georgiev


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
1Mariners1000000123-11000000123-10000000000010.500235001011331213843216621200.00%30100.00%06310560.00%659667.71%366357.14%2414219199
2Thunder200000116601000000134-11000001032130.75069150021237226222214721713428225.00%40100.00%06310560.00%659667.71%366357.14%492941183920
3Whalers11000000422000000000001100000042221.000461000031035111590251010214125.00%5180.00%06310560.00%659667.71%366357.14%2415189167
Total41000012121112000000257-22100001074360.7501218300034441404950391812943298414321.43%12191.67%06310560.00%659667.71%366357.14%985981367538
_Since Last GM Reset41000012121112000000257-22100001074360.7501218300034441404950391812943298414321.43%12191.67%06310560.00%659667.71%366357.14%985981367538
_Vs Conference3100001110821000000134-12100001074350.833101525002433107373731149727236312325.00%9188.89%06310560.00%659667.71%366357.14%744560275528
_Vs Division3100001110821000000134-12100001074350.833101525002433107373731149727236312325.00%9188.89%06310560.00%659667.71%366357.14%744560275528

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
46W112183014012943298400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
41000121211
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
200000257
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
210001074
Derniers 10 matchs
WLOTWOTL SOWSOL
100012
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
14321.43%12191.67%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
495039183444
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
6310560.00%659667.71%366357.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
985981367538


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
19Mariners3Sens2BLXXSommaire du match
218Sens3Thunder2AWXXSommaire du match
430Thunder4Sens3BLXXSommaire du match
643Sens4Whalers2AWSommaire du match
854Thunder-Sens-
1066Sens-Penguins-
1275Sens-Thunder-
1489Blue Jackets-Sens-
16103Thunder-Sens-
18118Sens-Thunder-
19127Nordiques-Sens-
21138Sens-Oilers-
23152Pirates-Sens-
25157Sens-Penguins-
27171Kraken-Sens-
30194Blue Jackets-Sens-
31202Sens-Icedogs-
33213Sens-LumberJacks-
35226Sens-Stallions-
37236Oilers-Sens-
39250Pirates-Sens-
41260Sens-Pirates-
43273LumberJacks-Sens-
45286Sens-Wolf-
46295Stallions-Sens-
47308Sens-Stallions-
49321Sens-Fighting Irish-
51331Oilers-Sens-
53344Fighting Irish-Sens-
55356Sens-Oilers-
58373Braves-Sens-
59388Wolf-Sens-
61400Sens-Whalers-
62410Sens-Bulldogs-
64418Sens-Wolverines-
66428Nordiques-Sens-
68441Wolverines-Sens-
70452Sens-Braves-
71466Blue Jackets-Sens-
73484Kraken-Sens-
75496Sens-Thunder-
77507Sens-Fighting Irish-
78515Braves-Sens-
80526Sens-Penguins-
81538Flash-Sens-
83549Sens-Flash-
84560Mariners-Sens-
85571Sens-Penguins-
87584Sens-Icedogs-
89593Thunder-Sens-
90608Whalers-Sens-
92619Sens-Kraken-
93634Mariners-Sens-
94638Sens-Blue Jackets-
95655Icedogs-Sens-
97669Roadrunners-Sens-
99680Sens-Roadrunners-
100693Sens-Bikers-
102705Bikers-Sens-
104720Sens-Dogbones-
105731Whalers-Sens-
107748Sens-Wolverines-
108758Flash-Sens-
110772Dogbones-Sens-
112790Sens-Mariners-
113799Chiefs-Sens-
114814Penguins-Sens-
116829Sens-Wolf-
117830Sens-Thunder-
118844Penguins-Sens-
120859Sens-Blue Jackets-
121871Bikers-Sens-
123884Sens-Nordiques-
124895Gongshow-Sens-
125903Sens-Gongshow-
126917Thunder-Sens-
127918Sens-Oilers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128927Sens-Chiefs-
130945Bulldogs-Sens-
131953Sens-Nordiques-
134968Gongshow-Sens-
135980Sens-Dogbones-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité42004200420047001130
Prix des billets100755035200
Assistance7,8245,9697,9748,1111,803
Attendance PCT93.14%71.06%94.93%86.29%79.78%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 15841 - 85.95% 1,693,579$3,387,157$18430100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
4,383,827$ 84,187,286$ 84,187,287$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
84,187,286$ 4,301,542$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
66,049,562$ 130 626,261$ 81,413,930$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
83,332,394$ -10,574,997$ -27,857,829$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
84,187,286$ 812,714$ 85,000,000$ 24,187,286$



Charte de profondeur

Ailier gaucheCentreAilier droit
J.T. MillerAGE:31PO:0OV:81
Matthew TkachukAGE:26PO:0OV:81
Tim StützleAGE:22PO:0OV:80
Brady TkachukAGE:24PO:0OV:78
Alex KillornAGE:34PO:0OV:78
Brandon HagelAGE:25PO:0OV:77
Zach PariseAGE:39PO:0OV:75
Colton SissonsAGE:30PO:0OV:73
Anton LundellAGE:22PO:0OV:72
Darren HelmAGE:37PO:0OV:67
J.T. MillerAGE:31PO:0OV:81
Dylan LarkinAGE:27PO:0OV:79
Charlie CoyleAGE:32PO:0OV:78
Colton SissonsAGE:30PO:0OV:73
Anton LundellAGE:22PO:0OV:72
Nathan MackinnonAGE:28PO:0OV:85
J.T. MillerAGE:31PO:0OV:81
Matthew TkachukAGE:26PO:0OV:81
Alex KillornAGE:34PO:0OV:78
Charlie CoyleAGE:32PO:0OV:78
Zach PariseAGE:39PO:0OV:75
Colton SissonsAGE:30PO:0OV:73
Jack Quinn (R)AGE:22PO:0OV:71
Darren HelmAGE:37PO:0OV:67

Défense #1Défense #2Gardien
Hampus LindholmAGE:30PO:0OV:80
Erik KarlssonAGE:33PO:0OV:80
Jeff PetryAGE:36PO:0OV:79
Moritz SeiderAGE:23PO:0OV:78
Marcus PetterssonAGE:27PO:0OV:75
Jake Sanderson (R)AGE:21PO:0OV:75
Christopher TanevAGE:34PO:0OV:74
Erik GudbransonAGE:32PO:0OV:73
Josh Mahura (R)AGE:25PO:0OV:71
Sean WalkerAGE:29PO:0OV:70
Dylan Samberg (R)AGE:25PO:0OV:70
Justin Barron (R)AGE:22PO:0OV:70
Ian Mitchell (R)AGE:25PO:0OV:66
Alexandar Georgiev (R)AGE:28PO:0OV:81
Marc-Andre FleuryAGE:39PO:0OV:80
Mads Sogaard (R)AGE:23PO:0OV:71
Arvid Soderblom (R)AGE:24PO:0OV:69

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Benoit-Olivier GroulxSens00
Cole ReinhardtSens00
Filip LarssonSens00
Francis PerronSens00
Jake VirtanenSens00
Josh ManiscalcoSens202093
Justus AnnunenSens00
Keith PetruzzelliSens2020109
Kevin MandoleseSens2020115
Lawrence PilutSens201878
Leevi MerilainenSens00
Luke HughesSens00
Nicolas BeaudinSens00
Ridly GreigSens00
Sebastian CossaSens00
Tristan LennoxSens00
Tyson HindsSens00

Choix au repêchage

Année R1R2R3R4R5
2024SEN MRS DBS
2025SEN
2026BJT SEN GON
2027SEN WOL THU PIR BJT
2028SEN SEN SEN CHI SEN
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Sens Historique de transactions

[2024-04-22 12:31:24] - TRADE : From Sens to Penguins : Ivan Miroshnichenko (P), Y:2025-RND:2-WLV.
[2024-04-22 12:31:24] - TRADE : From Penguins to Sens : Alex Killorn (78).
[2024-04-18 23:41:52] - TRADE : From Oilers to Sens : Y:2024-RND:4-DBS, Y:2028-RND:4-CHI.
[2024-04-18 23:41:52] - TRADE : From Sens to Oilers : Y:2028-RND:3-SEN.
[2024-04-18 08:27:28] - TRADE : From Oilers to Sens : J.T. Miller (81), Brandon Hagel (77).
[2024-04-18 08:27:28] - TRADE : From Sens to Oilers : Leon Draisaitl (84), Lawson Crouse (76).
[2024-04-14 15:05:32] - Guerriers du Nord hired Phil Housley- for $750,000 for 1 year(s).
[2024-04-14 15:03:25] - Guerriers du Nord fired Phil Housley-.
[2024-04-14 15:02:09] - Guerriers du Nord hired Phil Housley- for $750,000 for 1 year(s).
[2024-04-06 14:49:28] - Marc-Andre Fleury signed with Sens for $4,400,000 for 1 year(s) / Option : No Trade.
[2024-04-06 14:49:28] - Marc-Andre Fleury was added to Sens.
[2024-03-25 20:31:48] - Erik Karlsson signed with Sens for $9,700,000 for 1 year(s) / Option : No Trade.
[2024-03-25 20:31:48] - Erik Karlsson was added to Sens.
[2024-03-25 20:31:06] - Erik Gudbranson signed with Sens for $650,000 for 4 year(s) / Option : No Trade.
[2024-03-25 20:31:06] - Erik Gudbranson was added to Sens.
[2024-03-25 20:01:21] - Darren Helm signed with Sens for $650,000 for 1 year(s) / Option : No Trade.
[2024-03-25 20:01:21] - Darren Helm was added to Sens.
[2024-03-15 12:45:35] - Zach Parise signed with Sens for $1,500,000 for 1 year(s) / Option : No Trade.
[2024-03-15 12:45:35] - Zach Parise was added to Sens.
[2024-03-15 12:44:56] - Hampus Lindholm signed with Sens for $6,500,000 for 8 year(s) / Option : No Trade.
[2024-03-15 12:44:56] - Hampus Lindholm was added to Sens.
[2024-03-15 12:43:35] - Alexandar Georgiev signed with Sens for $3,400,000 for 3 year(s) / Option : No Trade.
[2024-03-15 12:43:35] - Alexandar Georgiev was added to Sens.
[2024-03-03 19:55:34] - Lawson Crouse signed with Sens for $4,300,000 for 5 year(s).
[2024-03-03 19:55:34] - Lawson Crouse was added to Sens.
[2024-03-03 19:55:09] - Matthew Tkachuk signed with Sens for $9,500,000 for 8 year(s).
[2024-03-03 19:55:09] - Matthew Tkachuk was added to Sens.
[2024-02-21 17:12:13] - TRADE : From Chiefs to Sens : Jeff Petry (78).
[2024-02-21 17:12:13] - TRADE : From Sens to Chiefs : Mark Kastelic (49), Paul Cotter (49), Y:2027-RND:2-SEN.
[2024-02-21 16:52:42] - TRADE : From Sens to Thunder : Y:2027-RND:4-BJT.
[2024-02-21 16:52:42] - TRADE : From Thunder to Sens : Christopher Tanev (74).
[2023-12-18 10:26:02] - Jack Quinn was added to Sens.
[2023-12-16 17:03:59] - Paul Cotter was added to Sens.
[2023-12-16 17:00:17] - Mark Kastelic was added to Sens.
[2023-12-16 16:55:29] - Mads Sogaard was added to Sens.
[2023-12-16 16:50:13] - Justin Barron was added to Sens.
[2023-12-16 16:46:06] - Jake Sanderson was added to Sens.
[2023-12-16 15:11:09] - Dylan Samberg was added to Sens.
[2023-12-16 15:06:31] - Arvid Soderblom was added to Sens.
[2023-12-10 18:47:25] - Joe Thornton was released by Sens
[2023-12-10 18:46:15] - Jason Spezza was released by Sens



[2024-04-24 23:52:14] Current fund for Sens is under $0.
[2024-04-24 23:40:27] Current fund for Sens is under $0.
[2024-04-24 20:21:05] Current fund for Sens is under $0.
[2024-04-24 20:20:55] Guerriers du Nord lines for next game are empty. Current rosters/lines are not erased. But, Sens lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-24 19:05:24] Current fund for Sens is under $0.
[2024-04-24 19:03:00] Current fund for Sens is under $0.
[2024-04-24 01:32:22] Current fund for Sens is under $0.
[2024-04-24 01:11:36] Current fund for Sens is under $0.
[2024-04-24 01:11:24] Guerriers du Nord lines for next game are empty. Current rosters/lines are not erased. But, Sens lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-24 01:11:21] Pro Game #30 - Nathan Mackinnon from Sens has scored a Hat Trick!
[2024-04-23 12:45:29] Current fund for Sens is under $0.
[2024-04-23 12:37:47] Current fund for Sens is under $0.
[2024-04-23 11:52:11] Current fund for Sens is under $0.
[2024-04-23 11:51:11] Current fund for Sens is under $0.
[2024-04-22 23:49:10] Current fund for Sens is under $0.
[2024-04-22 21:01:53] Current fund for Sens is under $0.
[2024-04-22 21:01:40] Guerriers du Nord lines for next game are empty. Current rosters/lines are not erased. But, Sens lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-22 19:19:21] Current fund for Sens is under $0.
[2024-04-22 19:18:58] Guerriers du Nord lines for next game are empty. Current rosters/lines are not erased. But, Sens lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-22 19:18:53] Game 4 - Unknown Player from Guerriers du Nord is injured (Sore Left Knee) and is out for 3 days.
[2024-04-22 17:36:58] Current fund for Sens is under $0.
[2024-04-22 17:36:57] Successfully loaded Sens lines done with STHS Client - 3.3.6.6
[2024-04-22 17:36:56] Mads Sogaard of Sens was sent to farm.
[2024-04-22 17:36:56] Anton Lundell of Sens was sent to pro.
[2024-04-22 17:36:55] Erik Gudbranson of Sens was sent down to farm.
[2024-04-22 17:36:44] Current fund for Sens is under $0.
[2024-04-22 17:18:11] Current fund for Sens is under $0.
[2024-04-22 16:52:27] Current fund for Sens is under $0.
[2024-04-22 16:49:06] Current fund for Sens is under $0.
[2024-04-22 16:15:09] Current fund for Sens is under $0.
[2024-04-22 15:56:43] Current fund for Sens is under $0.
[2024-04-22 15:31:37] Current fund for Sens is under $0.
[2024-04-22 15:31:09] Auto Roster Function has been run for Sens.
[2024-04-22 15:31:09] Mads Sogaard of Sens was sent to pro.
[2024-04-22 15:31:09] Anton Lundell of Sens was sent to farm.
[2024-04-22 15:31:09] Jack Quinn of Sens was sent to farm.
[2024-04-22 14:23:16] Current fund for Sens is under $0.
[2024-04-22 14:22:29] Current fund for Sens is under $0.
[2024-04-22 14:22:22] Guerriers du Nord lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 14:22:22] Game 144 - Unknown Player from Guerriers du Nord is injured (Sore Right Knee) and is out for 1 days.
[2024-04-22 14:21:56] Current fund for Sens is under $0.
[2024-04-22 13:42:03] Current fund for Sens is under $0.
[2024-04-22 13:41:45] Guerriers du Nord lines for next game are empty. Current rosters/lines are not erased.



Pas de blessure ou de suspension.


Sens Leaders statistiques des joueurs (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
1Vladimir Tarasenko2441211402612112135028694012.87%107502420.5934427614613415201442.89%51.041028
2Jack Eichel23676108184-69534739170910.72%102437918.56172239613251413549.46%20.84627
3Teuvo Teravainen2388390173173526228466412.50%91405817.0516254156011612850.72%10.8525
4Boone Jenner24551109160121524064605159.90%96468319.12928375402292451.46%10.68318
5Jacob Trouba240187694263835054123565.06%340596524.86111829483478210%00.3201

Sens 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
1Jacob Markstrom1416264140.9122.93844961412466224091050.72996
2Linus Ullmark87442990.9162.7150124022626981366730.75052
3Mikko Koskinen2917650.9252.2317220164848421100.61513

Sens 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
202082264104074232240-841132302030107112-541131802044125128-3782323756071167748022253788083081658266286478817342214018.10%2666376.32%8937179052.35%953182252.31%600116551.50%1767102617637281445726
2021822833013611245262-1741131900135128144-1641151401236117118-18424540965450521008616245171781390791286594253116672444719.26%2234480.27%5824169748.56%888185447.90%589121548.48%167692618457541488751
20228241230335726021842412210012241281032541191302133132115171082604266862178918313263491189182053254183963917512725620.59%2384282.35%41054192054.90%962180953.18%602113952.85%1798105017297411457736
20234220000014122220000009542020000057-2414264000473012831583901485641748450.00%18477.78%0477364.38%6010756.07%347048.57%834890356632
Total Saison régulière25098970124172272471311125514606381135934910125475106191136536412807241214193875205266224447968271226762523192785326112305517580114217.73%80115081.27%163011563753.41%2830557550.76%1851343053.97%542631205329227244562251
Séries éliminatoires
2021624000001924-531200000129331200000715-841933520029711724855654216736911123730.43%17476.47%06113246.21%7616246.91%5510850.93%115621435610452
20221257000002932-3743000002016451400000916-7102953821071291357121126107339311111225938615.79%35877.14%013826452.27%13428946.37%7415846.84%255144254109211107
Total Séries éliminatoires1138000002836-8523000001416-2615000001420-6628497711871303441141021091936610114323837410.81%44979.55%012926249.24%12726647.74%6914846.62%23413124510620298

Sens Leaders statistiques des joueurs (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
1Boone Jenner186111701335264712.77%834919.43257600030054.78%00.9700
2Teuvo Teravainen1871017-8423256910.14%1036820.492791300001143.75%00.9200
3Vladimir Tarasenko1841317-3232924616.56%543124.00145400010029.73%00.7900
4David Perron12369-341917368.33%622518.82101300001057.14%00.8000
5Shea Theodore18279-62413281020.00%1638821.5622450000100%00.4600

Sens 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
1Mikko Koskinen63300.9192.513580015186852000
2Jacob Markstrom62400.8864.133340023202931000
3Linus Ullmark72310.9232.6338800172201050100