Connexion

La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.
Centre de jeu
Penguins
23-29-4, 50pts
4
FINAL
5 Senators
23-24-7, 53pts
Team Stats
L1StreakW1
15-11-1Home Record13-8-5
8-18-3Away Record10-16-2
3-5-2Last 10 Games6-4-0
3.14Goals Per Game3.04
3.70Goals Against Per Game3.59
20.08%Power Play Percentage22.77%
80.19%Penalty Kill Percentage78.70%
Canadiens
21-29-4, 46pts
0
FINAL
2 Senators
23-24-7, 53pts
Team Stats
L1StreakW1
8-15-2Home Record13-8-5
13-14-2Away Record10-16-2
5-4-1Last 10 Games6-4-0
3.35Goals Per Game3.04
3.93Goals Against Per Game3.59
24.30%Power Play Percentage22.77%
75.49%Penalty Kill Percentage78.70%
Senators
23-24-7, 53pts
Jour 117
Canadiens
21-29-4, 46pts
Stats Équipe
W1SéquenceL1
13-8-5Fiche domicile8-15-2
10-16-2Fiche visiteur13-14-2
6-4-010 derniers matchs5-4-1
3.04Buts par match 3.35
3.59Buts contre par match 3.93
22.77%Pourcentage en avantage numérique24.30%
78.70%Pourcentage en désavantage numérique75.49%
Sharks
17-27-9, 43pts
Jour 120
Senators
23-24-7, 53pts
Stats Équipe
OTL1SéquenceW1
8-15-4Fiche domicile13-8-5
9-12-5Fiche visiteur10-16-2
1-4-510 derniers matchs6-4-0
2.91Buts par match 3.04
3.64Buts contre par match 3.59
17.57%Pourcentage en avantage numérique22.77%
81.57%Pourcentage en désavantage numérique78.70%
Rangers
31-17-6, 68pts
Jour 122
Senators
23-24-7, 53pts
Stats Équipe
L1SéquenceW1
16-10-0Fiche domicile13-8-5
15-7-6Fiche visiteur10-16-2
7-2-110 derniers matchs6-4-0
3.09Buts par match 3.04
2.76Buts contre par match 3.59
19.55%Pourcentage en avantage numérique22.77%
86.81%Pourcentage en désavantage numérique78.70%
Meneurs d'équipe
Vincent TrocheckButs
Vincent Trocheck
20
Quinn HughesPasses
Quinn Hughes
46
Quinn HughesPoints
Quinn Hughes
57
Morgan GeekiePlus/Moins
Morgan Geekie
14
Jake OettingerVictoires
Jake Oettinger
27
Jake OettingerPourcentage d’arrêts
Jake Oettinger
0.893

Stats Équipe
Buts pour
164
3.04 GFG
Tirs pour
1629
30.17 Avg
Pourcentage en avantage numérique
22.8%
51 GF
Début de zone offensive
39.2%
Buts contre
194
3.59 GAA
Tirs contre
1749
32.39 Avg
Pourcentage en désavantage numérique
78.7%
59 GA
Début de la zone défensive
42.3%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralGuy Morin
EntraîneurSpencer Carbery
DivisionAtlantic
ConférenceEastern
CapitaineQuinn Hughes
Assistant #1
Assistant #2
Uniformes
Informations de l’aréna
NomGFS Center
Capacité25,000
Assistance15,777
Billets de saison10,000
Information formation
Équipe Pro22
Équipe Mineure27
Limite contact 49 / 50
Espoirs25
Plafond salarial
Cap Salarial de la Saison estimé83,109,963$
Plafond salarial disponible6,890,037$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21
Finance
Revenu annuel à ce jour45,345,500$
Dépenses annuelles à ce jour54,462,705$
Revenus de la saison estimés26,160,865$
Dépenses de la saison estimées30,147,264$
Compte bancaire actuel139,132,149$
Compte bancaire projeté133,992,845$
Historique d'équipe
Saison actuelle23-24-7 (53PTS)
Historique754-810-135 (0.444%)
Apparitions séries éliminatoires 6
Historique séries éliminatoires (W-L)33-31
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
1Vincent TrocheckX99.0099497990539099759473769677868835407903215,250,000$
2Evgeni MalkinX100.005156788476848975818169697399920317403926,500,000$
3Josh NorrisX98.0096497485638581718961818673748065317402657,000,000$
4Patrick KaneX100.0046418793468492794083746080969010317303726,500,000$
5Brayden SchennX100.0095617585638499708772686969908725317303417,000,000$
6Oliver BjorkstrandX100.0062478587498097694066726965828145317003015,700,000$
7Oskar SundqvistX100.0067568076777789578157577240848140316603112,000,000$
8Colin BlackwellX100.0071428581487486568454588040868035316503232,900,000$
9Paul CotterX100.0099567476727797564046676480747665316502642,500,000$
10Tommy NovakX100.0043448982537780627854706990787855326502823,000,000$
11Trent FredericX100.0099717575787783567950616540767760236502723,000,000$
12Connor DewarX100.0099538479537476547850577040747465286302622,000,000$
13Quinn Hughes (C)X100.0044448199479289964099797840748365307802631$
14Ian ColeX100.0070617175828499544056528740948915287403623,500,000$
15Cam FowlerX100.0043538684708689724077667773908825317303426,000,000$
16Niko MikkolaX100.0082557275758495584057607340808250317102953,500,000$
17Dmitry KulikovX100.0078527976698291544051578065928720297103512,000,000$
18Drew HellesonX100.0081587376747781564053597640707475396902411,250,000$
Rayé
1Morgan GeekieX95.3773538485718396758266857340768060207402732,500,000$
2Jeff PetryX100.006753837571817353405353764098905206903814,000,000$
Équipe Mineure
1Gage GoncalvesX100.0068458580557684594056616590707375396302431,000,000$
2Carl GrundstromX100.0099488177617181524049546365787555356202811,975,000$
3Vincent HinostrozaX100.006542858149776956405161666984814039620312950,000$
4Tanner LaczynskiX100.006247798166605062406460654078695539620282975,000$
5Tomas NosekX100.0073518775677183518751517040888030406203312,000,000$
6Nikita NesterenkoX100.009449887863725757404866624070717539620241750,000$
7Cameron HebigX100.005547808050766654704662704078775524610282900,000$
8Cole GuttmanX100.005045808248796958706057509074776539610261825,000$
9Sam Morton (R)X100.006146858856796951704953514074776533590263575,000$
10Braeden Bowman (R)X100.0075528683707767474047475540667285385802231,500,000$
11Joe HickettsX100.007639757541666144405236684080735039610291950,000$
12Nikita NovikovX100.006250757572726739403741704066698539610222925,000$
13Noel HoefenmayerX100.007153787565555047405144674074656539600262900,000$
14Matt KierstedX100.005544787552686344405632704076726038600272850,000$
15Cole ClaytonX100.006560787564676235403832654072707020590253900,000$
16Declan CarlileX100.005349717563595439403543704072667023580252950,000$
17Jake LucchiniX100.005348797751796951704855678082814537600302900,000$
18Zack OstapchukX100.008666747575708148844451634066688518590222925,000$
19Noah Philp (R)X100.006351877566705350745150654076736036590273575,000$
20Alexander NylanderX100.0050478676667363534047595040767560105702712,443,760$
21Liam FoudyX100.005449837657796951404953504072767015570253775,000$
22Francesco PinelliX100.005757777556796942403648624066738520550222925,000$
23David SpacekX100.005146817556767144405137504066718520570222925,000$
MOYENNE D’ÉQUIPE99.81695180806276775756555868537978543165
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
1Jake Oettinger99.008699999983818282848094767960318302756,178,000$
2Pyotr Kochetkov100.009087959078767779757785747565367902623,400,000$
Rayé
Équipe Mineure
1Matthew Murray100.00757279867268677071729976726032710271900,000$
2Colten Ellis100.00897176846868616766668772707034690251750,000$
3Carl Lindbom (R)100.00756468846162615860589966648530630222750,000$
4Magnus Chrona100.00825760925050505050505072617020580251632,500$
MOYENNE D’ÉQUIPE99.8383758089696866686867867370683171
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Spencer Carbery77919873795082CAN4441,500,000$


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
1Quinn HughesSenatorsD54114657-11601911512141879.09%82133224.6881725711770003226010.00%000000.8600000320
2Vincent TrocheckSenatorsRW53203252107401731361916117510.47%17106020.01712195020600041702156.49%87800010.9802000352
3Josh NorrisSenatorsC5420305011755153135218531359.17%20101018.72314175817100021975054.31%113800000.9901001531
4Evgeni MalkinSenatorsC53182341-1171515106103376717.48%1396818.27711182817400011234052.81%117600010.8502111521
5Brayden SchennSenatorsC53142438844101528914350989.79%595318.005510451781012672251.25%96000000.8012101131
6Cam FowlerSenatorsD557303721353889626677.29%70123722.503811581710000210000.00%000000.6001100012
7Patrick KaneSenatorsRW559253440017413038926.92%592616.8421214381960000372028.28%9900000.7313000112
8Tommy NovakSenatorsLW54131730-1540558114306911.40%673513.61461024130000032250.00%17400000.8202000013
9Morgan GeekieSenatorsLW4516925141803547116327413.79%584218.734592514300041651153.06%14700100.5913000130
10Oliver BjorkstrandSenatorsRW5411920-1360365912425828.87%575814.0553835170000000023.26%4300000.5300000113
11Ian ColeSenatorsD5431215-71352516050359128.57%87103119.10000040001181000.00%000000.2900221111
12Dmitry KulikovSenatorsD5431215-5775123373319179.09%6990316.74000000000182000.00%000000.3300000002
13Niko MikkolaSenatorsD544913-31035168283591411.43%5490916.84101219000059100.00%000000.2900001101
14Colin BlackwellSenatorsC545611-1114039735719478.77%1361711.440110500021432045.24%64100000.3600000011
15Oskar SundqvistSenatorsRW45369-1714021344615376.52%451411.4200034000081050.45%33500000.3500000011
16Jeff PetrySenatorsD34268-725531191091520.00%3950014.7300003000022100.00%000000.3200100200
17Drew HellesonSenatorsD20145-73154211158106.67%1428414.2300000000024000.00%000000.3500001011
18Connor DewarSenators (Ott)LW14123-11402611143127.14%216912.141122250000150050.00%1200000.3500000000
19Trent FredericSenatorsLW43213-16542064212916216.90%044110.2610114000000060.87%2300000.1400022000
20Paul CotterSenatorsRW40202-163956119229179.09%13939.8400001000010130.77%9100000.1000010001
21Braeden BowmanSenators (Ott)LW3000-400000200.00%03511.8300008000000020.00%500000.0000000000
Statistiques d’équipe totales ou en moyenne945165303468-8576310513271210165251111489.99%5111562816.545195146440179610119183923851.35%572200120.60316668242623
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
1Jake OettingerSenators47271720.8933.3127352215114070100.90911475442
2Pyotr KochetkovSenators163830.8803.7982400524320000.50061340000
3Colten EllisSenators (Ott)10100.8754.0060004320000.000011000
Statistiques d’équipe totales ou en moyenne64302650.8893.4336202220718710100.765176146442


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Brayden SchennSenatorsC341991-08-22No199 Lbs6 ft1NoNoYes1Pro Only7,000,000$7,000,000$2,477,528$No
UFA
Lien / Lien NHL
Cam FowlerSenatorsD341991-12-05No210 Lbs6 ft2NoNoYes2Pro Only6,000,000$6,000,000$2,123,596$No6,000,000$
UFA
Lien / Lien NHL
Colin BlackwellSenatorsC321993-03-28No190 Lbs5 ft8NoNoYes3Pro & Farm2,900,000$2,900,000$1,026,404$No2,900,000$2,900,000$
UFA
Lien / Lien NHL
Connor DewarSenators (Ott)LW261999-06-26No192 Lbs5 ft10NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Lien / Lien NHL
Dmitry KulikovSenatorsD351990-10-29No212 Lbs6 ft1NoNoNo1Pro & Farm2,000,000$2,000,000$707,865$No
UFA
Lien / Lien NHL
Drew HellesonSenatorsD242001-03-26No213 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$1,250,000$442,416$No
RFA
Lien / Lien NHL
Evgeni MalkinSenatorsC391986-07-31No210 Lbs6 ft5NoNoYes2Pro Only6,500,000$6,500,000$2,300,562$No6,500,000$
UFA
Lien / Lien NHL
Ian ColeSenatorsD361989-02-21No237 Lbs6 ft1NoNoYes2Pro & Farm3,500,000$3,500,000$1,238,764$No3,500,000$
UFA
Lien / Lien NHL
Jake OettingerSenatorsG271998-12-18No205 Lbs6 ft5NoNoYes5Pro Only6,178,000$6,178,000$2,186,596$No6,178,000$6,178,000$6,178,000$6,178,000$
UFA
Lien / Lien NHL
Jeff PetrySenatorsD381987-12-09No208 Lbs6 ft3NoNoYes1Pro & Farm4,000,000$4,000,000$1,415,730$No
UFA
Lien / Lien NHL
Josh NorrisSenatorsC261999-05-05No196 Lbs6 ft2NoNoYes5Pro Only7,000,000$7,000,000$2,477,528$No7,000,000$7,000,000$7,000,000$7,000,000$
UFA
Lien / Lien NHL
Morgan GeekieSenatorsLW271998-07-20No208 Lbs6 ft3NoNoYes3Pro & Farm2,500,000$2,500,000$884,831$No2,500,000$2,500,000$
UFA
Lien / Lien NHL
Niko MikkolaSenatorsD291996-04-27No204 Lbs6 ft6NoNoYes5Pro & Farm3,500,000$3,500,000$1,238,764$No3,500,000$3,500,000$3,500,000$3,500,000$
UFA
Lien / Lien NHL
Oliver BjorkstrandSenatorsRW301995-04-10No175 Lbs6 ft0NoNoYes1Pro Only5,700,000$5,700,000$2,017,416$No
UFA
Lien / Lien NHL
Oskar SundqvistSenatorsRW311994-03-23No220 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$707,865$No
UFA
Lien / Lien NHL
Patrick KaneSenatorsRW371988-11-19No177 Lbs5 ft10NoNoYes2Pro Only6,500,000$6,500,000$2,300,562$No6,500,000$
UFA
Lien / Lien NHL
Paul CotterSenatorsRW261999-11-16No213 Lbs6 ft2NoNoYes4Pro & Farm2,500,000$2,500,000$884,831$No2,500,000$2,500,000$2,500,000$
UFA
Lien / Lien NHL
Pyotr KochetkovSenatorsG261999-06-25No176 Lbs6 ft0NoNoYes2Pro & Farm3,400,000$3,400,000$1,203,371$No3,400,000$
UFA
Lien / Lien NHL
Quinn HughesSenatorsD261999-10-14No180 Lbs5 ft10YesNoYes3Pro Only1$1$0$No10,000,000$10,000,000$
UFA
Lien / Lien NHL
Tommy NovakSenatorsLW281997-04-28No179 Lbs6 ft1NoNoYes2Pro & Farm3,000,000$3,000,000$1,061,798$No3,000,000$
UFA
Lien / Lien NHL
Trent FredericSenatorsLW271998-02-11No221 Lbs6 ft3NoNoYes2Pro & Farm3,000,000$3,000,000$1,061,798$No3,000,000$
UFA
Lien / Lien NHL
Vincent TrocheckSenatorsRW321993-07-11No188 Lbs5 ft11NoNoYes1Pro Only5,250,000$5,250,000$1,858,146$No
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2230.45201 Lbs6 ft12.323,894,455$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
85,678,001$68,478,000$34,578,000$19,178,000$16,678,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tommy NovakVincent TrocheckJosh Norris40122
2Evgeni MalkinBrayden SchennPatrick Kane30122
3Paul CotterOskar SundqvistOliver Bjorkstrand20113
4Trent FredericColin BlackwellConnor Dewar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Quinn HughesIan Cole30122
2Cam FowlerNiko Mikkola30122
3Dmitry KulikovDrew Helleson25122
4Quinn HughesIan Cole15122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brayden SchennEvgeni MalkinTommy Novak50104
2Paul CotterJosh NorrisVincent Trocheck50104
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Quinn HughesOliver Bjorkstrand50113
2Cam FowlerPatrick Kane50113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vincent TrocheckOskar Sundqvist50140
2Josh NorrisColin Blackwell50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Quinn HughesIan Cole50230
2Cam FowlerDmitry Kulikov50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Vincent Trocheck50140Quinn HughesIan Cole50140
2Colin Blackwell50140Cam FowlerDmitry Kulikov50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vincent TrocheckTommy Novak50122
2Josh NorrisColin Blackwell50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Quinn HughesIan Cole50122
2Cam FowlerNiko Mikkola50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tommy NovakEvgeni MalkinVincent TrocheckQuinn HughesIan Cole
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tommy NovakEvgeni MalkinVincent TrocheckQuinn HughesIan Cole
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Patrick Kane, Oskar Sundqvist, Colin BlackwellPatrick Kane, Tommy NovakPatrick Kane
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Niko Mikkola, Dmitry Kulikov, Ian ColeNiko MikkolaDrew Helleson, Dmitry Kulikov
Tirs de pénalité
Vincent Trocheck, Tommy Novak, Evgeni Malkin, Josh Norris, Patrick Kane
Gardien
#1 : Jake Oettinger, #2 : Pyotr Kochetkov, #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
1Avalanche11000000211110000002110000000000021.0002460001103311814029710155120.00%50100.00%0967185552.13%1023200151.12%45887752.22%2618207126
2Blackhawks11000000642000000000001100000064221.0006915003300431018150201115325240.00%30100.00%0967185552.13%1023200151.12%45887752.22%2416227137
3BlueJackets30300000815-72020000038-51010000057-200.000814220024207726203101292334556116.67%16475.00%0967185552.13%1023200151.12%45887752.22%664576213617
4Blues2110000045-1110000003211010000013-220.5004711001120391113150521420408112.50%10280.00%0967185552.13%1023200151.12%45887752.22%463247152612
5Bruins20101000810-2100010005411010000036-320.500814220021416730171827117124713323.08%5260.00%0967185552.13%1023200151.12%45887752.22%453249142412
6Canadiens21100000541110000002021010000034-120.50059140120306327132306013334610220.00%14192.86%0967185552.13%1023200151.12%45887752.22%433053152311
7Canucks2020000019-81010000016-51010000003-300.00011200100058251716079242240700.00%11554.55%0967185552.13%1023200151.12%45887752.22%463149142411
8Capitals31200000911-2211000008531010000016-520.333916250033309430412301103553769444.44%23769.57%0967185552.13%1023200151.12%45887752.22%694671223819
9Devils2010000148-4000000000002010000148-410.2504711002112713022178681922451119.09%11281.82%0967185552.13%1023200151.12%45887752.22%493249152613
10Ducks220000001266110000008441100000042241.0001221330054307425262306013204712541.67%9188.89%0967185552.13%1023200151.12%45887752.22%493344142513
11Flames210010001174110000007431000100043141.0001120310072118928312915814304312433.33%14285.71%0967185552.13%1023200151.12%45887752.22%503544132413
12Flyers11000000624000000000001100000062421.00069150021303110813029814184250.00%7185.71%0967185552.13%1023200151.12%45887752.22%2213247136
13Hurricanes30300000512-72020000049-51010000013-200.0005101500221069262023010630286210110.00%12466.67%0967185552.13%1023200151.12%45887752.22%624177223918
14Islanders30201000813-51000100043120200000410-620.3338132100241110928394119329615915320.00%15660.00%0967185552.13%1023200151.12%45887752.22%725071224020
15Jets2010010047-31000010012-11010000035-210.2504812001120521717180531431495120.00%13376.92%0967185552.13%1023200151.12%45887752.22%402757152311
16Kings1010000057-2000000000001010000057-200.0005914001220215970291013204250.00%4175.00%0967185552.13%1023200151.12%45887752.22%2113237147
17Lightning2020000049-51010000025-31010000024-200.0004812000220701530250792932518112.50%14378.57%0967185552.13%1023200151.12%45887752.22%473248142411
18Mammoth10001000431100010004310000000000021.0004812001111356716637516246233.33%8275.00%0967185552.13%1023200151.12%45887752.22%2719237116
19MapleLeafs30100200710-32000020057-21010000023-120.3337121900322010841244309430327113215.38%11372.73%0967185552.13%1023200151.12%45887752.22%735269213818
20Oilers210000014311000000112-11100000031230.7504812001210551620184462248339111.11%90100.00%0967185552.13%1023200151.12%45887752.22%543845142513
21Panthers20200000411-71010000035-21010000016-500.000481210130046172270771722466233.33%11372.73%0967185552.13%1023200151.12%45887752.22%433051142412
22Penguins20001100880100010005411000010034-130.75081523001331722821212621215338112.50%50100.00%0967185552.13%1023200151.12%45887752.22%503644142512
23Predators22000000752110000003211100000043141.00071320002320501715180692436408337.50%70100.00%0967185552.13%1023200151.12%45887752.22%422853152411
24Rangers11000000541000000000001100000054121.000571200023017395036101327200.00%40100.00%0967185552.13%1023200151.12%45887752.22%2014267125
25RedWings3100011010911000010034-12100001075250.8331017270042316724172389649407410330.00%19478.95%0967185552.13%1023200151.12%45887752.22%694681243717
26Sabres2010100057-2100010005411010000003-320.500510150030115517221515118184411218.18%9277.78%0967185552.13%1023200151.12%45887752.22%432953152612
27Sharks11000000312000000000001100000031221.000369001110319157023315165120.00%5180.00%0967185552.13%1023200151.12%45887752.22%2417227126
28Wild11000000532110000005320000000000021.00051015001130331110120338615200.00%30100.00%0967185552.13%1023200151.12%45887752.22%2317246115
Total54162406512164194-302688054018487-3288160111180107-27530.491164293457115452519162954353153633174950871111682245122.77%2775978.70%0967185552.13%1023200151.12%45887752.22%12588651327402686337
_Since Last GM Reset54162406512164194-302688054018487-3288160111180107-27530.491164293457115452519162954353153633174950871111682245122.77%2775978.70%0967185552.13%1023200151.12%45887752.22%12588651327402686337
_Vs Conference345190441196133-371627043004958-918312001114775-28250.3689616926511293032710163523253282211613394297541362820.59%1764276.14%0967185552.13%1023200151.12%45887752.22%779534848255434210
_Vs Division1628023104360-17812023002529-4816000101831-13130.406437812111151015347617114515411528173189379711521.13%831878.31%0967185552.13%1023200151.12%45887752.22%36625440612020095

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5453W116429345716291749508711116811
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5416246512164194
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
268854018487
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
28816111180107
Derniers 10 matchs
WLOTWOTL SOWSOL
442000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2245122.77%2775978.70%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
543531536335452519
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
967185552.13%1023200151.12%45887752.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12588651327402686337


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
110BlueJackets3Senators2BLSommaire du match
319Senators0Sabres3ALSommaire du match
433Senators5Rangers4AWSommaire du match
649Lightning5Senators2BLSommaire du match
865MapleLeafs2Senators1BLXSommaire du match
1080Panthers5Senators3BLSommaire du match
1292Sabres4Senators5BWXSommaire du match
15112Senators3Oilers1AWSommaire du match
17126Senators4Flames3AWXSommaire du match
18139Senators0Canucks3ALSommaire du match
22169MapleLeafs5Senators4BLXSommaire du match
24186Blues2Senators3BWSommaire du match
27206Senators6Flyers2AWSommaire du match
29214Senators3Bruins6ALSommaire du match
31236Islanders3Senators4BWXSommaire du match
33251Senators1Islanders4ALSommaire du match
35258Senators1Panthers6ALSommaire du match
36272Senators2Lightning4ALSommaire du match
38287Oilers2Senators1BLXXSommaire du match
40304Senators1Capitals6ALSommaire du match
42315Flames4Senators7BWSommaire du match
44331BlueJackets5Senators1BLSommaire du match
45337Senators3Devils4ALXXSommaire du match
48359Senators6Blackhawks4AWSommaire du match
50380Senators3Jets5ALSommaire du match
52388Senators3RedWings2AWXXSommaire du match
54405Hurricanes5Senators3BLSommaire du match
57428Jets2Senators1BLXSommaire du match
59446Ducks4Senators8BWSommaire du match
60451Senators2MapleLeafs3ALSommaire du match
64479RedWings4Senators3BLXSommaire du match
65490Senators3Penguins4ALXSommaire du match
71511Mammoth3Senators4BWXSommaire du match
74530Senators1Blues3ALSommaire du match
75534Senators1Hurricanes3ALSommaire du match
77549Avalanche1Senators2BWSommaire du match
81583Senators3Sharks1AWSommaire du match
83593Senators5Kings7ALSommaire du match
84602Senators4Ducks2AWSommaire du match
87624Hurricanes4Senators1BLSommaire du match
88632Wild3Senators5BWSommaire du match
91657Canucks6Senators1BLSommaire du match
93664Senators5BlueJackets7ALSommaire du match
95685Capitals1Senators5BWSommaire du match
96692Senators3Islanders6ALSommaire du match
99722Capitals4Senators3BLSommaire du match
100729Senators1Devils4ALSommaire du match
104759Predators2Senators3BWSommaire du match
106772Senators3Canadiens4ALSommaire du match
107780Senators4RedWings3AWSommaire du match
110804Senators4Predators3AWSommaire du match
112815Bruins4Senators5BWXSommaire du match
113827Penguins4Senators5BWXSommaire du match
115837Canadiens0Senators2BWSommaire du match
117852Senators-Canadiens-
120875Sharks-Senators-
122887Rangers-Senators-
124902Senators-Flyers-
125909Senators-Rangers-
128932Senators-Stars-
129948Senators-Wild-
131960Panthers-Senators-
133977Penguins-Senators-
135992RedWings-Senators-
1391015Senators-Panthers-
1401030Senators-Lightning-
1421043GoldenKnights-Senators-
1441053Devils-Senators-
1461065Lightning-Senators-
1471066Senators-Sabres-
1491089Sabres-Senators-
1511096Senators-Mammoth-
1531112Senators-GoldenKnights-
1551126Senators-Avalanche-
1581150Bruins-Senators-
1611164Canadiens-Senators-
1661197Stars-Senators-
1681212Kings-Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1701229Flyers-Senators-
1721238Senators-Bruins-
1741255Senators-MapleLeafs-
1761264Blackhawks-Senators-


Charte de profondeur
Ailier gaucheCentreAilier droit
Morgan Geekie
Morgan Geekie
AGE:27
SK:85
EN:83
DU:96
PH:75
PA:66
SC:85
DF:73
Trent Frederic
Trent Frederic
AGE:27
SK:75
EN:77
DU:83
PH:56
PA:50
SC:61
DF:65
Tommy Novak
Tommy Novak
AGE:28
SK:82
EN:77
DU:80
PH:62
PA:54
SC:70
DF:69
Connor Dewar
Connor Dewar
AGE:26
SK:79
EN:74
DU:76
PH:54
PA:50
SC:57
DF:70
Tanner Laczynski
Tanner Laczynski
AGE:28
SK:81
EN:60
DU:50
PH:62
PA:64
SC:60
DF:65
Tomas Nosek
Tomas Nosek
AGE:33
SK:75
EN:71
DU:83
PH:51
PA:51
SC:51
DF:70
Braeden Bowman (R)
Braeden Bowman
AGE:22
SK:83
EN:77
DU:67
PH:47
PA:47
SC:47
DF:55
Liam Foudy
Liam Foudy
AGE:25
SK:76
EN:79
DU:69
PH:51
PA:49
SC:53
DF:50
Francesco Pinelli
Francesco Pinelli
AGE:22
SK:75
EN:79
DU:69
PH:42
PA:36
SC:48
DF:62
Josh Norris
Josh Norris
AGE:26
SK:85
EN:85
DU:81
PH:71
PA:61
SC:81
DF:86
Evgeni Malkin
Evgeni Malkin
AGE:39
SK:84
EN:84
DU:89
PH:75
PA:81
SC:69
DF:69
Brayden Schenn
Brayden Schenn
AGE:34
SK:85
EN:84
DU:99
PH:70
PA:72
SC:68
DF:69
Colin Blackwell
Colin Blackwell
AGE:32
SK:81
EN:74
DU:86
PH:56
PA:54
SC:58
DF:80
Nikita Nesterenko
Nikita Nesterenko
AGE:24
SK:78
EN:72
DU:57
PH:57
PA:48
SC:66
DF:62
Vincent Hinostroza
Vincent Hinostroza
AGE:31
SK:81
EN:77
DU:69
PH:56
PA:51
SC:61
DF:66
Cole Guttman
Cole Guttman
AGE:26
SK:82
EN:79
DU:69
PH:58
PA:60
SC:57
DF:50
Cameron Hebig
Cameron Hebig
AGE:28
SK:80
EN:76
DU:66
PH:54
PA:46
SC:62
DF:70
Jake Lucchini
Jake Lucchini
AGE:30
SK:77
EN:79
DU:69
PH:51
PA:48
SC:55
DF:67
Noah Philp (R)
Noah Philp
AGE:27
SK:75
EN:70
DU:53
PH:50
PA:51
SC:50
DF:65
Vincent Trocheck
Vincent Trocheck
AGE:32
SK:90
EN:90
DU:99
PH:75
PA:73
SC:76
DF:96
Patrick Kane
Patrick Kane
AGE:37
SK:93
EN:84
DU:92
PH:79
PA:83
SC:74
DF:60
Oliver Bjorkstrand
Oliver Bjorkstrand
AGE:30
SK:87
EN:80
DU:97
PH:69
PA:66
SC:72
DF:69
Oskar Sundqvist
Oskar Sundqvist
AGE:31
SK:76
EN:77
DU:89
PH:57
PA:57
SC:57
DF:72
Paul Cotter
Paul Cotter
AGE:26
SK:76
EN:77
DU:97
PH:56
PA:46
SC:67
DF:64
Gage Goncalves
Gage Goncalves
AGE:24
SK:80
EN:76
DU:84
PH:59
PA:56
SC:61
DF:65
Carl Grundstrom
Carl Grundstrom
AGE:28
SK:77
EN:71
DU:81
PH:52
PA:49
SC:54
DF:63
Zack Ostapchuk
Zack Ostapchuk
AGE:22
SK:75
EN:70
DU:81
PH:48
PA:44
SC:51
DF:63
Sam Morton (R)
Sam Morton
AGE:26
SK:88
EN:79
DU:69
PH:51
PA:49
SC:53
DF:51
Alexander Nylander
Alexander Nylander
AGE:27
SK:76
EN:73
DU:63
PH:53
PA:47
SC:59
DF:50

Défense #1Défense #2Gardien
Quinn Hughes
Quinn Hughes
AGE:26
SK:99
EN:92
DU:89
PH:96
PA:99
SC:79
DF:78
Ian Cole
Ian Cole
AGE:36
SK:75
EN:84
DU:99
PH:54
PA:56
SC:52
DF:87
Cam Fowler
Cam Fowler
AGE:34
SK:84
EN:86
DU:89
PH:72
PA:77
SC:66
DF:77
Niko Mikkola
Niko Mikkola
AGE:29
SK:75
EN:84
DU:95
PH:58
PA:57
SC:60
DF:73
Dmitry Kulikov
Dmitry Kulikov
AGE:35
SK:76
EN:82
DU:91
PH:54
PA:51
SC:57
DF:80
Drew Helleson
Drew Helleson
AGE:24
SK:76
EN:77
DU:81
PH:56
PA:53
SC:59
DF:76
Jeff Petry
Jeff Petry
AGE:38
SK:75
EN:81
DU:73
PH:53
PA:53
SC:53
DF:76
Nikita Novikov
Nikita Novikov
AGE:22
SK:75
EN:72
DU:67
PH:39
PA:37
SC:41
DF:70
Joe Hicketts
Joe Hicketts
AGE:29
SK:75
EN:66
DU:61
PH:44
PA:52
SC:36
DF:68
Noel Hoefenmayer
Noel Hoefenmayer
AGE:26
SK:75
EN:55
DU:50
PH:47
PA:51
SC:44
DF:67
Matt Kiersted
Matt Kiersted
AGE:27
SK:75
EN:68
DU:63
PH:44
PA:56
SC:32
DF:70
Cole Clayton
Cole Clayton
AGE:25
SK:75
EN:67
DU:62
PH:35
PA:38
SC:32
DF:65
Declan Carlile
Declan Carlile
AGE:25
SK:75
EN:59
DU:54
PH:39
PA:35
SC:43
DF:70
David Spacek
David Spacek
AGE:22
SK:75
EN:76
DU:71
PH:44
PA:51
SC:37
DF:50
Jake Oettinger
Jake Oettinger
AGE:27
SK:86
AG:83
RB:81
SC:82
HS:82
RT:84
DF:80
Pyotr Kochetkov
Pyotr Kochetkov
AGE:26
SK:90
AG:78
RB:76
SC:77
HS:79
RT:75
DF:77
Matthew Murray
Matthew Murray
AGE:27
SK:75
AG:72
RB:68
SC:67
HS:70
RT:71
DF:72
Colten Ellis
Colten Ellis
AGE:25
SK:89
AG:68
RB:68
SC:61
HS:67
RT:66
DF:66
Carl Lindbom (R)
Carl Lindbom
AGE:22
SK:75
AG:61
RB:62
SC:61
HS:58
RT:60
DF:58
Magnus Chrona
Magnus Chrona
AGE:25
SK:82
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
Aiden FinkSenators2037162
Alexis GravelSenators2032104
Angus MacdonellSenators2038146
Austin BurnevikSenators2038195
Ben BoydSenators2035198
Casper NassenSenators2038177
Cole McKinneySenators203945
Dalyn WakelySenators2038134
Filip WesterlundSenators203175
Jack AdamsSenators2031122
Jaden LipinskiSenators2037144
Jakub MilotaSenators2038109
James ClarkSenators2037175
Jeremy HanzelSenators2037149
Kasper HalttunenSenators203734
Lucas MercuriSenators2034156
Niilopekka MuhonenSenators2038173
Oscar PlandowskiSenators2035184
Rico GredigSenators2038208
Theo JacobssonSenators2035216
Veeti VaisanenSenators2038102
Vojtech PortSenators2037206
Warren ClarkSenators2037146
Xavier VeilleuxSenators2038189
Zach GallantSenators203162

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2041
2042



Senators 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
1Ales Kotalik1472217330547-15910601890176922989.44%8782342615.914879127222561152291147.12%10.47613
2Kris Versteeg821225308533-722776471630203811.04%1961436817.506211217443053834282041.53%10.741142
3Mikko Rantanen51923529653102244701041196211.98%1111103621.266210616849118935311539.62%110.961137
4Elias Lindholm542200316516152034861548184910.82%1491162521.4566125191477641045241152.91%20.891236
5Alexander Semin536218295513-124567251145193811.25%2251306824.385197148302581349301233.21%70.791057

Senators 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
1Mike Smith399175179350.9053.11235113919121812854023100.746185
2Jaroslav Halak22811587200.9142.56133824411571663526681150.761113
3Petr Mrazek19310076110.9033.021125514956758410820.81063
4Pyotr Kochetkov127684640.8913.29723023339636450520.83330
5Peter Budaj80442970.8962.9347970423422470410.72236

Senators 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
201782304003351240264-2441151902230129131-241152101121111133-2269240392632110648385247207448988212707884106818722665821.80%2585080.62%5975193250.47%1017211947.99%658136248.31%169293619368371503747
201882274006234236248-1241142101122114119-541131905112122129-768236381617010509285237606598948012689816108518401953417.44%2404083.33%9855186545.84%1001212747.06%679135050.30%164189418097651522755
201982323504254229222741141703034113111241181801220116111574229357586160688171241007368408102471801123017452104521.43%2374780.17%8978202548.30%1010202749.83%569110751.40%166189117367751573786
202082333402166230240-1041181501043113104941151901123117136-1971230364594530606894233806448128542438812111917942145123.83%2554980.78%5966191850.36%957199647.95%586116150.47%163884517137911632816
202182215201242204281-7741142301111110132-22417290013194149-5546204366570320756361224907287277832725762108720863676016.35%4288480.37%11069280338.14%1178322736.50%470128636.55%1844124220766211038505
20228236310314724122714412212031031371132441141900044104114-1079241417658140886482231507227677922528745105419224358820.23%4106384.63%31023285735.81%1119313335.72%427124534.30%1908128220366391037510
20238233340426326425311411817011311331258411517031321311283762644607241509592672562081283689026558181078193343810724.43%4478580.98%61316305043.15%1261310640.60%534131340.67%1899128020336271042514
202482224300467251322-7141132100322127160-334192200145124162-3867251445696510858872249208477908252912874122521093748221.93%52014073.08%71237292642.28%1197332336.02%523133639.15%1854123420986281037507
202582205104322240334-9441122302211127167-404182802111113167-5457240430670300857376230207207628013051841116321633866917.88%47813871.13%31220277344.00%1351341639.55%535133939.96%1763116021416441051502
202682194502673258340-8241112500221137178-414182002452121162-4165258435693000868677260308388668713009889131020494198420.05%55314873.24%61453297048.92%1496334544.72%671138848.34%1778116921676491043495
202782215201134207321-11441132201122111145-34418300001296176-8055207360567020786560217607217347052852871110219283965814.65%48712175.15%41209270844.65%1312331739.55%550129442.50%1793119321376381028487
203082125801245175290-115417290011386142-56415290113289148-5941175301476030675647218907277107343079933115020353805113.42%52811578.22%51217273644.48%1426351240.60%564126544.58%1756115521806471034489
20318237310116629225339411814011251431291441191700041149124259529252181314010610574269508878779162356708100117884379421.51%4269378.17%61683311054.12%1496288451.87%695130453.30%2070143918776091036526
203282353501416268267141161601404125129-44119190001214313858426846673401085928927500886887956244575991818084178019.18%4067781.03%31676318652.61%1494285352.37%704129254.49%2001138119346121030516
203382313602256250280-3041151801043121126-541161801213129154-2584250422672030918765253108448558082655765107718264297016.32%4809081.25%51553299851.80%1440309746.50%667129351.59%1965134220036231014507
203482343802251269279-10411915012401491341541152301011120145-2585269472741110100798326220834838935256879894919484097718.83%4038878.16%01384302445.77%1235299841.19%606131945.94%1947133019716091035518
203582433300222270241294120150022214212319412318000001281181094270486756150879487262008848548702592745102719684398419.13%4377283.52%51470302448.61%1322306943.08%610128947.32%1987137019386071019508
20368240290234429526134412114011221551272841191501222140134699295528823240112918626980876881896223169985517454338218.94%3797879.42%41561306151.00%1361267150.95%657134648.81%2127150318195861028529
203782284104333280314-3441142002122135155-2041142102211145159-14762804807603111483767261683585489844261273892316893958621.77%3979077.33%91492287651.88%1479289551.09%708138251.23%1952135319926041026511
20388239280816033726275411816050201681323641211203140169130391073375779142311411396173073992989105356251178298718424249321.93%4128180.34%31741333052.28%1551290253.45%754137155.00%2015139119276131031523
203954162406512164194-302688054018487-3288160111180107-2753164293457115452519162954353153633174950871111682245122.77%2775978.70%0967185552.13%1023200151.12%45887752.22%12588651327402686337
Total Saison régulière169460981005752887852005693-49384632038003230424226592769-11084828943002522463625412924-383154552008953141533151282173016821394517182370164831731515201548351654822119392587687150419.57%8458180878.62%97270455702747.42%267266001844.53%126252691946.90%385582526740861135352345411599
Séries éliminatoires
201917107000003536-18530000014131954000002123-22035569112081410417010415314845614715339643716.28%18288.89%017236047.78%15235343.06%10021945.66%319154360164352178
2022734000002024-431200000712-54220000013121620375700031252120569264267908616434823.53%421076.19%19825139.04%10730335.31%4310540.95%15099183538641
2031514000001420-62110000065130300000815-721426400006261430554342142437010829620.69%29775.86%09218250.55%7318240.11%398545.88%12182123386130
20351810800000555509630000026206945000002935-620559815300017181856801752141505911742214391042120.19%942276.60%134468550.22%29173339.70%14329548.47%432301464137223111
20361174000003931853200000141316420000025187143966105000141310330010811589371117133217621219.35%601181.67%020941949.88%21044746.98%7217441.38%2691842798413969
2038624000002126-5312000001013-3312000001113-2421385900106412057772506191587712631722.58%32778.13%110822248.65%12622655.75%5510353.40%145100144467437
Total Séries éliminatoires64333100000184192-8301713000007776134161800000107116-9661843215051210546350187577570667499201862974014503036120.13%2755978.55%31023211948.28%959224442.74%45298146.08%14389221556524938468

Senators 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
1Mikko Rantanen26182543126226313113.74%668526.3588163110183235.06%11.2600
2Elias Lindholm321527421482410112312.20%1679424.83311143101142051.07%01.0600
3Marcus Foligno291216281369106387715.58%854118.6855101400013240.85%11.0300
4Teddy Blueger29616222172281678.96%1050017.262571900001052.65%00.8800
5Alexander Semin24515201372648568.93%753222.21044600012035.71%00.7500

Senators 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
1Jaroslav Halak1710700.9232.0410310235455181110.0000
2Petr Mrazek169520.9033.0795800495050100.0000
3Ville Husso117310.9162.7068800313710100.0000
4Mike Smith73400.9033.6839100242480000.0000
5Pyotr Kochetkov62400.8574.3233300241680000.0000