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Connexion

Senators
GP: 16 | W: 5 | L: 8 | OTL: 3 | P: 13
GF: 48 | GA: 49 | PP%: 11.67% | PK%: 84.88%
DG: David R | Morale : 50 | Moyenne d’équipe : 59

Centre de jeu
Canucks
11-4-1, 23pts
3
FINAL
2 Senators
5-8-3, 13pts
Team Stats
L1SéquenceL3
5-3-0Fiche domicile2-5-1
6-1-1Fiche domicile3-3-2
9-1-0Derniers 10 matchs3-6-1
3.38Buts par match 3.00
2.19Buts contre par match 3.06
12.86%Pourcentage en avantage numérique11.67%
83.33%Pourcentage en désavantage numérique84.88%
Senators
5-8-3, 13pts
1
FINAL
3 Rocket
13-3-0, 26pts
Team Stats
L3SéquenceW5
2-5-1Fiche domicile6-2-0
3-3-2Fiche domicile7-1-0
3-6-1Derniers 10 matchs7-3-0
3.00Buts par match 4.06
3.06Buts contre par match 1.81
11.67%Pourcentage en avantage numérique23.53%
84.88%Pourcentage en désavantage numérique93.83%
Meneurs d'équipe
Buts
Ville Koivunen
8
Passes
Oliver Kapanen
12
Points
Oliver Kapanen
15
Plus/Moins
Jake Wise
8
Victoires
Joe Vrbetic
5
Pourcentage d’arrêts
Joe Vrbetic
0.858

Statistiques d’équipe
Buts pour
48
3.00 GFG
Tirs pour
420
26.25 Avg
Pourcentage en avantage numérique
11.7%
7 GF
Début de zone offensive
42.0%
Buts contre
49
3.06 GAA
Tirs contre
319
19.94 Avg
Pourcentage en désavantage numérique
84.9%%
13 GA
Début de la zone défensive
36.3%
Informations de l'équipe

Directeur généralDavid R
EntraîneurManny Malhotra
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro18
Équipe Mineure20
Limite contact 38 / 51
Espoirs40


Historique d'équipe

Saison actuelle5-8-3 (13PTS)
Historique0-0-0
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
1Ryan LombergX100.0080948079665297613461566725676965506403011,100,000$
2Ville Koivunen (R)X100.006560776860828765506364606144446550620222902,500$
3Oliver Kapanen (R)X100.005741967672575767516055677545456150610223925,000$
4Andre Lee (R)XX100.008479836981538259256057642545456350610252775,000$
5Jake WiseX100.007568906468535162785863646044446450590252775,000$
6Xavier BourgaultX100.0073649366647377575051586255444461505902211,167,500$
7Matt StienburgXXX100.007371778071454161765958635544446250590242775,000$
8Michael Milne (R)X100.007167796667737857504861615844446250590232950,000$
9Jean-Luc FoudyX100.007164877264616453665547604544445650570233950,000$
10Josh LopinaX100.007873896273737949614746624444445650560242925,000$
11Matthew BenningX100.00767482707459634925384068387072535062N03131,000,000$
12Frederic Brunet (R)XX100.007874876574788650254541633944445550610222775,000$
13Isaak PhillipsX100.007577696677788648253841623950505350610241925,000$
14Jack AhcanX100.007163906763808754255341603945455650600281775,000$
15Simon LundmarkX100.007672866572748147253741613944445450590243950,000$
16Max WannerX100.007270776170444545253440583844444850530222775,000$
Rayé
1Boris KatchoukX100.0077758071757983635060626559444466506302711,000,000$
MOYENNE D’ÉQUIPE100.00747084697066735644515163474748595060
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
1Joe Vrbetic (R)100.00515555555555555555555555555550540223800,000$
Rayé
MOYENNE D’ÉQUIPE100.0051555555555555555555555555555054
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Manny Malhotra71737969666182CAN4431,150,000$


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
1Oliver KapanenSenators (OTT)C16312156202264315326.98%226916.830221040000001060.83%24000001.1100000110
2Ville KoivunenSenators (OTT)RW168715612017940144120.00%529818.6820210420000223068.42%3800001.0012000320
3Xavier BourgaultSenators (OTT)C165914712010314172712.20%227717.32000010001520159.53%25700001.0100000001
4Ryan LombergSenators (OTT)RW168412-53610233759213013.56%532220.1620211380002511056.56%12200000.7403101011
5Andre LeeSenators (OTT)C/LW1621012-513539192911276.90%029618.540447450000230051.49%26800000.8101100001
6Matt StienburgSenators (OTT)C/LW/RW1657126160341548132310.42%026416.56022537000000069.23%1300000.9100000004
7Jake WiseSenators (OTT)C163710816020163093110.00%122814.3100000000000058.06%3100000.8700000001
8Michael MilneSenators (OTT)LW166410700151738104115.79%421913.7000000000000056.25%1600000.9100000201
9Jack AhcanSenators (OTT)D16099612011812680%1034921.86011546000056000%000000.5100000000
10Isaak PhillipsSenators (OTT)D1634762353671731217.65%1235622.27123346000059000%000000.3900100000
11Frederic BrunetSenators (OTT)C/D16055-620017817690%1436722.98011347000061000%000000.2700000000
12Max WannerSenators (OTT)D1604481202174220%524415.2600000000025000%000000.3300000000
13Matthew BenningSenators (OTT)D16213-5160261212101216.67%1335322.10000344000159000%000000.1700000010
14Jean-Luc FoudySenators (OTT)C161230201818155.56%1805.060222180001150072.22%3600000.7400000000
15Josh LopinaSenators (OTT)C162130002130466.67%0311.9420239000020066.67%300001.9300000000
16Simon LundmarkSenators (OTT)D16022718025106240%1025616.0200009000017000%000000.1600000000
Statistiques d’équipe totales ou en moyenne2564888136462102029923141713030811.51%84421716.47714216242900054475158.20%102400000.6416301659
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
1Joe VrbeticSenators (OTT)165830.8582.8295920453170000.4449160010
Statistiques d’équipe totales ou en moyenne165830.8582.8295920453170009160010


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Andre LeeSenators (OTT)C/LW252000-07-26SWEYes206 Lbs6 ft5NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien
Boris KatchoukSenators (OTT)LW271998-06-18CANNo204 Lbs6 ft2NoNoFree Agent2025-02-18NoNo12025-06-15FalseFalsePro & Farm1,000,000$1,000,000$0$0$No---------------------------Lien / Lien NHL
Frederic BrunetSenators (OTT)C/D222003-08-21CANYes196 Lbs6 ft3NoNoAssign ManuallyNoNo22025-08-19FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien
Isaak PhillipsSenators (OTT)D242001-09-28CANNo205 Lbs6 ft3NoNoTrade2025-08-07NoNo1FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien
Jack AhcanSenators (OTT)D281997-05-18USANo180 Lbs5 ft8NoNoTrade2025-02-23NoNo12024-08-04FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien
Jake WiseSenators (OTT)C252000-02-28USANo190 Lbs5 ft10NoNoAssign ManuallyNoNo22025-08-19FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien
Jean-Luc FoudySenators (OTT)C232002-05-13CANNo177 Lbs5 ft11NoNoFree Agent2025-03-16NoNo32025-08-02FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Joe VrbeticSenators (OTT)G222002-10-24ONTYes187 Lbs6 ft5NoNoFree AgentNoNo32025-08-02FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Josh LopinaSenators (OTT)C242001-02-16USANo199 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-07FalseFalsePro & Farm925,000$925,000$0$0$No925,000$--------925,000$--------No--------Lien
Matt StienburgSenators (OTT)C/LW/RW242000-10-07CANNo182 Lbs6 ft1NoNoProspectNoNo22025-08-19FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien
Matthew BenningSenators (OTT)D311994-05-25CANNo203 Lbs6 ft1YesNoFree Agent2025-02-27NoNo32025-08-27FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------YesYes-------Lien
Max WannerSenators (OTT)D222003-03-12SKNo184 Lbs6 ft3NoNoProspectNoNo22025-08-19FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien
Michael MilneSenators (OTT)LW232002-09-21CANYes185 Lbs5 ft11NoNoAssign ManuallyNoNo22025-02-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Lien
Oliver KapanenSenators (OTT)C222003-07-29SWEYes194 Lbs6 ft2NoNoAssign ManuallyNoNo32025-08-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Ryan LombergSenators (OTT)RW301994-12-09CANNo184 Lbs5 ft9NoNoTrade2025-02-18NoNo1FalseFalsePro & Farm1,100,000$1,100,000$0$0$No---------------------------Lien / Lien NHL
Simon LundmarkSenators (OTT)D242000-10-08SWENo193 Lbs6 ft2NoNoFree AgentNoNo32025-08-02FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Ville KoivunenSenators (OTT)RW222003-06-13FINYes161 Lbs5 ft11NoNoAssign ManuallyNoNo22025-02-15FalseFalsePro & Farm902,500$902,500$0$0$No902,500$--------902,500$--------No--------Lien
Xavier BourgaultSenators (OTT)C222002-10-22CANNo179 Lbs5 ft11NoNoTrade2024-07-07NoNo1FalseFalsePro & Farm1,167,500$1,167,500$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1824.44189 Lbs6 ft12.00902,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andre LeeRyan Lomberg40122
2Matt StienburgOliver KapanenVille Koivunen30122
3Michael MilneXavier BourgaultJake Wise20122
4Ryan LombergJake Wise10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew BenningFrederic Brunet40122
2Isaak PhillipsJack Ahcan30122
3Simon LundmarkMax Wanner20122
4Matthew BenningFrederic Brunet10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andre LeeRyan Lomberg60122
2Matt StienburgOliver KapanenVille Koivunen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew BenningFrederic Brunet60122
2Isaak PhillipsJack Ahcan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Lomberg60122
2Ville KoivunenAndre Lee40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew BenningFrederic Brunet60122
2Isaak PhillipsJack Ahcan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Lomberg60122Matthew BenningFrederic Brunet60122
240122Isaak PhillipsJack Ahcan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Lomberg60122
2Ville KoivunenAndre Lee40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew BenningFrederic Brunet60122
2Isaak PhillipsJack Ahcan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andre LeeRyan LombergMatthew BenningFrederic Brunet
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andre LeeRyan LombergMatthew BenningFrederic Brunet
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jean-Luc Foudy, Josh Lopina, Xavier BourgaultJean-Luc Foudy, Josh LopinaXavier Bourgault
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Simon Lundmark, Max Wanner, Isaak PhillipsSimon LundmarkMax Wanner, Isaak Phillips
Tirs de pénalité
Ryan Lomberg, , Ville Koivunen, Andre Lee, Frederic Brunet
Gardien
#1 : Joe Vrbetic, #2 :
Lignes d’attaque personnalisées en prolongation
Ryan Lomberg, , Ville Koivunen, Andre Lee, Frederic Brunet, Oliver Kapanen, Xavier Bourgault, Jake Wise, Matt Stienburg, Michael Milne
Lignes de défense personnalisées en prolongation
Matthew Benning, Frederic Brunet, Isaak Phillips, Jack Ahcan, Simon Lundmark


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
1Canucks2020000038-51010000023-11010000015-400.0003690017238150139151126135513453410330.00%13284.62%027144161.45%21638156.69%12022752.86%47235731598186101
2Comets2010000157-21010000012-11000000145-110.25051015001723814413915112613431326412150.00%12191.67%027144161.45%21638156.69%12022752.86%47235731598186101
3Crunch210000014401000000123-11100000021130.7504711001723813213915112613461216318112.50%8187.50%027144161.45%21638156.69%12022752.86%47235731598186101
4Griffins211000007701010000034-11100000043120.500712190017238170139151126132241443800.00%7185.71%027144161.45%21638156.69%12022752.86%47235731598186101
5Marlies2010000147-31010000013-21000000134-110.250481200172381401391511261338124927800.00%16475.00%027144161.45%21638156.69%12022752.86%47235731598186101
6Monsters21100000844110000007251010000012-120.5008142200172381901391511261334111843600.00%9188.89%027144161.45%21638156.69%12022752.86%47235731598186101
7Penguins2200000014410110000005231100000092741.000142640001723816313915112613321016346233.33%70100.00%027144161.45%21638156.69%12022752.86%47235731598186101
8Rocket2020000038-51010000025-31010000013-200.000358001723813113915112613491030461200.00%14378.57%027144161.45%21638156.69%12022752.86%47235731598186101
Total1658000034849-1825000012324-18330000225250130.406488813600172381420139151126133198521429960711.67%861384.88%027144161.45%21638156.69%12022752.86%47235731598186101
_Since Last GM Reset1658000034849-1825000012324-18330000225250130.406488813600172381420139151126133198521429960711.67%861384.88%027144161.45%21638156.69%12022752.86%47235731598186101
_Vs Conference1658000034849-1825000012324-18330000225250130.406488813600172381420139151126133198521429960711.67%861384.88%027144161.45%21638156.69%12022752.86%47235731598186101
_Vs Division838000031826-841500001815-7423000021011-190.5631832500017238117313915112613155381091473612.78%45980.00%027144161.45%21638156.69%12022752.86%47235731598186101

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1613L348881364203198521429900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
165800034849
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
82500012324
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
83300022525
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
60711.67%861384.88%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
13915112613172381
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
27144161.45%21638156.69%12022752.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
47235731598186101


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
18Rocket5Senators2LSommaire du match
215Senators9Penguins2WSommaire du match
340Crunch3Senators2LXXSommaire du match
455Senators2Crunch1WSommaire du match
670Comets2Senators1LSommaire du match
895Senators4Comets5LXXSommaire du match
9108Senators1Monsters2LSommaire du match
10122Penguins2Senators5WSommaire du match
11132Senators4Griffins3WSommaire du match
13154Marlies3Senators1LSommaire du match
15173Griffins4Senators3LSommaire du match
18197Monsters2Senators7WSommaire du match
20223Senators3Marlies4LXXSommaire du match
21225Senators1Canucks5LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
23237Canucks3Senators2LSommaire du match
24254Senators1Rocket3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets400
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,624,500$ 1,624,500$ 1,150,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 0$ 0$




Senators 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

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

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

Senators 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

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