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Senators
GP: 82 | W: 46 | L: 29 | OTL: 7 | P: 99
GF: 312 | GA: 219 | PP%: 11.91% | PK%: 83.37%
DG: David R | Morale : 50 | Moyenne d’équipe : 60

Centre de jeu
Rocket
58-16-8, 124pts
5
FINAL
4 Senators
46-29-7, 99pts
Team Stats
W2SéquenceL1
27-8-6Fiche domicile26-11-4
31-8-2Fiche domicile20-18-3
7-3-0Derniers 10 matchs2-7-1
4.00Buts par match 3.80
1.90Buts contre par match 2.67
16.79%Pourcentage en avantage numérique11.91%
89.76%Pourcentage en désavantage numérique83.37%
Marlies
55-24-3, 113pts
5
FINAL
2 Senators
46-29-7, 99pts
Team Stats
L1SéquenceL1
28-10-3Fiche domicile26-11-4
27-14-0Fiche domicile20-18-3
6-3-1Derniers 10 matchs2-7-1
3.59Buts par match 3.80
2.20Buts contre par match 2.67
18.59%Pourcentage en avantage numérique11.91%
86.35%Pourcentage en désavantage numérique83.37%
Meneurs d'équipe
Buts
Ville Koivunen
47
Passes
Jack Ahcan
54
Ryan LombergPoints
Ryan Lomberg
85
Plus/Moins
Xavier Bourgault
67
Victoires
Joe Vrbetic
45
Pourcentage d’arrêts
Joe Vrbetic
0.869

Statistiques d’équipe
Buts pour
312
3.80 GFG
Tirs pour
2129
25.96 Avg
Pourcentage en avantage numérique
11.9%
43 GF
Début de zone offensive
41.0%
Buts contre
219
2.67 GAA
Tirs contre
1551
18.91 Avg
Pourcentage en désavantage numérique
83.4%%
70 GA
Début de la zone défensive
35.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,913
Billets de saison0


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 51
Espoirs43


Historique d'équipe

Saison actuelle46-29-7 (99PTS)
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 LombergX100.0080948079665297613461566725676965506403111,100,000$
2Boris KatchoukX100.0077758071757983635060626559444466506302711,000,000$
3Daniil Gushchin (R)X100.006758876758788167506565616244446750620231800,000$
4Ville Koivunen (R)X100.006560776860828765506364606144446550620222902,500$
5Andre Lee (R)XX100.008479836981538259256057642545456350610252775,000$
6Jake WiseX100.007568906468535162785863646044446450590262775,000$
7Xavier BourgaultX100.0073649366647377575051586255444461505902311,167,500$
8Matt StienburgXXX100.007371778071454161765958635544446250590252775,000$
9Michael Milne (R)X100.007167796667737857504861615844446250590232950,000$
10Jean-Luc FoudyX100.007164877264616453665547604544445650570233950,000$
11Josh LopinaX100.007873896273737949614746624444445650560252925,000$
12Matthew BenningX100.00767482707459634925384068387072535062N03131,000,000$
13Frederic Brunet (R)XX100.007874876574788650254541633944445550610222775,000$
14Isaak PhillipsX100.007577696677788648253841623950505350610241925,000$
15Jack AhcanX100.007163906763808754255341603945455650600281775,000$
16Simon LundmarkX100.007672866572748147253741613944445450590253950,000$
17Max WannerX100.007270776170444545253440583844444850530232775,000$
Rayé
MOYENNE D’ÉQUIPE100.00747183686967755644515262464748595060
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 Georgiev100.006685826765676968656688666767506703047,500,000$
2Joe Vrbetic (R)100.00515555555555555555555555555550540233800,000$
Rayé
MOYENNE D’ÉQUIPE100.0059706961606162626061726161615061
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
1Peyton KrebsSenatorsC/LW/RW6342549658200742012195416719.18%15140022.23412162721232572367168.72%162100031.3711000787
2Ryan LombergSenators (OTT)RW8240458532143451641812666218215.04%17168820.605101535246101112847045.33%67500021.0134314752
3Xavier BourgaultSenators (OTT)C8234498367540681482116612316.11%15132816.2000008303182375554.39%117300111.2500000545
4Ville KoivunenSenators (OTT)RW82473683257801601142978020715.82%13162319.801441861297101121113157.46%18100021.0214000835
5Andre LeeSenators (OTT)C/LW82364379368351901542286916015.79%10148818.15510153726101131096143.51%143200111.0624010554
6Michael MilneSenators (OTT)LW8230447463540122562004916815.00%8106613.0100011000005056.60%5300001.3900000653
7Jake WiseSenators (OTT)C823132635950086802065513915.05%5113813.8900000000003064.94%15400011.11120001310
8Matt StienburgSenators (OTT)C/LW/RW6624386234560124931474011416.33%3111716.9212321196000341063.77%6900011.1100000237
9Jack AhcanSenators (OTT)D827546150540716170265610.00%56181622.1651318482900221291000%000000.6700000225
10Oliver KapanenSenatorsC4921335433401499128389216.41%383216.9926826158000004154.56%83400011.3002000265
11Daniil GushchinSenators (OTT)LW493217493022051751454512522.07%691918.770000000041572245.45%11000021.0701000721
12Isaak PhillipsSenators (OTT)D82643494411620194527226458.33%63182322.2321012342860332304300%000000.5400301250
13Frederic BrunetSenators (OTT)C/D82739463411401346362244911.29%61185622.64279402980000307300%000000.5013000221
14Simon LundmarkSenators (OTT)D828384646675993453173615.09%45129615.810001563022084310%000000.7100010122
15Matthew BenningSenators (OTT)D827344126680171359029607.78%64179321.874812482750001278000%000000.4600000120
16Max WannerSenators (OTT)D827121944560139202022035.00%36124315.170001230110129000%000000.3100000011
17Jean-Luc FoudySenators (OTT)C822810-26032343911235.13%43604.3905510940001721160.34%11600000.5600000000
18Josh LopinaSenators (OTT)C8232524015101851016.67%01391.70303955000080154.17%2400000.7200000001
Statistiques d’équipe totales ou en moyenne13753846211005681104975190815102471698177615.54%4242293316.684787134413277081119632620531455.06%6442002140.88921635585859
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)75452460.8692.4243662717613440300.65223750210
Statistiques d’équipe totales ou en moyenne75452460.8692.42436627176134403023750210


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
Alexandar Georgiev (contrat à 1 volet)Senators (OTT)G301996-02-10BULNo178 Lbs6 ft1NoNoFree Agent2024-02-13NoYes42024-06-24FalseFalsePro & Farm7,500,000$6,375,000$0$No7,500,000$7,500,000$7,500,000$------7,500,000$7,500,000$7,500,000$------NoNoNo------Lien / Lien NHL
Andre LeeSenators (OTT)C/LW252000-07-26SWEYes206 Lbs6 ft5NoNoAssign ManuallyNoYes22024-06-30FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Boris KatchoukSenators (OTT)LW271998-06-18CANNo204 Lbs6 ft2NoNoFree Agent2025-02-18NoYes12025-06-15FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Daniil GushchinSenators (OTT)LW232002-06-02RUSYes165 Lbs5 ft8NoNoTrade2026-01-30NoNo12025-06-15FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Frederic BrunetSenators (OTT)C/D222003-08-21CANYes196 Lbs6 ft3NoNoAssign ManuallyNoNo22025-08-19FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Isaak PhillipsSenators (OTT)D242001-09-28CANNo205 Lbs6 ft3NoNoTrade2025-08-07NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Jack AhcanSenators (OTT)D281997-05-18USANo180 Lbs5 ft8NoNoTrade2025-02-23NoYes12024-08-04FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Jake WiseSenators (OTT)C262000-02-28USANo190 Lbs5 ft10NoNoAssign ManuallyNoYes22025-08-19FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Jean-Luc FoudySenators (OTT)C232002-05-13CANNo177 Lbs5 ft11NoNoFree Agent2025-03-16NoNo32025-08-02FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Joe VrbeticSenators (OTT)G232002-10-24ONTYes187 Lbs6 ft5NoNoFree AgentNoNo32025-08-02FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Josh LopinaSenators (OTT)C252001-02-16USANo199 Lbs6 ft2NoNoAssign ManuallyNoYes22024-07-07FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Matt StienburgSenators (OTT)C/LW/RW252000-10-07CANNo182 Lbs6 ft1NoNoProspectNoYes22025-08-19FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Matthew BenningSenators (OTT)D311994-05-25CANNo203 Lbs6 ft1YesNoFree Agent2025-02-27NoYes32025-08-27FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------YesYes-------Lien
Max WannerSenators (OTT)D232003-03-12SKNo184 Lbs6 ft3NoNoProspectNoNo22025-08-19FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Michael MilneSenators (OTT)LW232002-09-21CANYes185 Lbs5 ft11NoNoAssign ManuallyNoNo22025-02-15FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Ryan LombergSenators (OTT)RW311994-12-09CANNo184 Lbs5 ft9NoNoTrade2025-02-18NoYes1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien / Lien NHL
Simon LundmarkSenators (OTT)D252000-10-08SWENo193 Lbs6 ft2NoNoFree AgentNoYes32025-08-02FalseFalsePro & Farm950,000$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$0$0$No902,500$--------902,500$--------No--------Lien
Xavier BourgaultSenators (OTT)C232002-10-22CANNo179 Lbs5 ft11NoNoTrade2024-07-07NoNo1FalseFalsePro & Farm1,167,500$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1925.21187 Lbs6 ft12.001,243,158$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andre LeeRyan Lomberg40122
2Ville 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
2Ville 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 : , #2 :
Lignes d’attaque personnalisées en prolongation
Ryan Lomberg, , Ville Koivunen, Andre Lee, Frederic Brunet, , Xavier Bourgault, Jake Wise, , 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
1 Americans21000100220110000001011000010012-130.750246011219889103072367371937281416351200.00%8187.50%01115223249.96%851192544.21%608128347.39%230116981695531962510
2Admirals220000001129110000003121100000081741.0001121320012198891064723673719373583737300.00%11190.91%11115223249.96%851192544.21%608128347.39%230116981695531962510
3Barracuda2020000025-31010000012-11010000013-200.00024600121988910377236737193741718381119.09%8275.00%01115223249.96%851192544.21%608128347.39%230116981695531962510
4Bears4400000028523220000001611522000000124881.000285280011219889101767236737193748742949333.33%200100.00%01115223249.96%851192544.21%608128347.39%230116981695531962510
5Bruins21001000633110000003121000100032141.0006111700121988910607236737193730942341000.00%13284.62%01115223249.96%851192544.21%608128347.39%230116981695531962510
6Canucks41300000916-72110000066020200000310-720.25091221001219889108372367371937941364972300.00%22577.27%01115223249.96%851192544.21%608128347.39%230116981695531962510
7Checkers201010004401010000023-11000100021120.500471100121988910297236737193743133235800.00%15380.00%01115223249.96%851192544.21%608128347.39%230116981695531962510
8Comets44000000208122200000011472200000094581.00020355500121988910155723673719375817309813215.38%12283.33%11115223249.96%851192544.21%608128347.39%230116981695531962510
9Condors32100000990110000002112110000078-140.667917260012198891068723673719376712285715320.00%14285.71%01115223249.96%851192544.21%608128347.39%230116981695531962510
10Crunch41000111880200000114402100010044060.75081321011219889107472367371937641742702229.09%14471.43%01115223249.96%851192544.21%608128347.39%230116981695531962510
11Eagles20100100410-61010000027-51000010023-110.250461000121988910307236737193747939351119.09%15380.00%01115223249.96%851192544.21%608128347.39%230116981695531962510
12Firebirds2200000012111110000008171100000040441.00012213301121988910947236737193722316553133.33%80100.00%11115223249.96%851192544.21%608128347.39%230116981695531962510
13Griffins440000002271522000000114722000000113881.00022416300121988910147723673719376318399218211.11%17194.12%01115223249.96%851192544.21%608128347.39%230116981695531962510
14Gulls22000000154111100000011381100000041341.00015264100121988910817236737193735131035100.00%5260.00%01115223249.96%851192544.21%608128347.39%230116981695531962510
15Ice Hogs33000000272252200000017215110000001001061.000274774021219889101347236737193737726696233.33%11190.91%01115223249.96%851192544.21%608128347.39%230116981695531962510
16Islanders22000000152131100000010281100000050541.00015264101121988910857236737193722718567114.29%9277.78%01115223249.96%851192544.21%608128347.39%230116981695531962510
17Marlies41300000813-52020000049-52110000044020.2508162400121988910877236737193710122459623417.39%17852.94%01115223249.96%851192544.21%608128347.39%230116981695531962510
18Monsters412001001013-3210001007702020000036-330.3751019290012198891078723673719379028507127311.11%24387.50%01115223249.96%851192544.21%608128347.39%230116981695531962510
19Moose21100000550110000003211010000023-120.500581300121988910277236737193750132832600.00%14285.71%01115223249.96%851192544.21%608128347.39%230116981695531962510
20Penguins21100000981110000006331010000035-220.5009142300121988910717236737193733920597114.29%10190.00%01115223249.96%851192544.21%608128347.39%230116981695531962510
21Phantoms2020000037-41010000023-11010000014-300.000369001219889101772367371937541638498112.50%17382.35%01115223249.96%851192544.21%608128347.39%230116981695531962510
22Reign21100000651110000004221010000023-120.50061218001219889104472367371937501325329222.22%8187.50%11115223249.96%851192544.21%608128347.39%230116981695531962510
23Roadrunners220000001358110000007161100000064241.0001324370012198891052723673719373211244911218.18%12283.33%01115223249.96%851192544.21%608128347.39%230116981695531962510
24Rocket412001001216-4210001008802020000048-430.3751223350012198891075723673719377427648219210.53%29582.76%01115223249.96%851192544.21%608128347.39%230116981695531962510
25Silver Knights2010000129-71000000123-11010000006-610.250246001219889102772367371937411530491317.69%14471.43%01115223249.96%851192544.21%608128347.39%230116981695531962510
26Stars21000010972110000004311000001054141.00091423001219889104272367371937542221597342.86%8187.50%01115223249.96%851192544.21%608128347.39%230116981695531962510
27Thunderbirds330000002432122000000162141100000081761.000244670001219889101147236737193726526869222.22%13284.62%11115223249.96%851192544.21%608128347.39%230116981695531962510
28Wild2020000059-41010000025-31010000034-100.00057120012198891024723673719375115514313215.38%17382.35%01115223249.96%851192544.21%608128347.39%230116981695531962510
29Wolf Pack30300000515-101010000034-120200000211-900.0005813001219889106472367371937901546701616.25%16287.50%01115223249.96%851192544.21%608128347.39%230116981695531962510
30Wolves2110000078-11010000036-31100000042220.5007111800121988910387236737193730518428112.50%8187.50%01115223249.96%851192544.21%608128347.39%230116981695531962510
31Wranglers2020000008-81010000005-51010000003-300.000000001219889102272367371937411424281300.00%12191.67%01115223249.96%851192544.21%608128347.39%230116981695531962510
Total824229025223122199341251100212179105744117180231013311419990.604312555867071219889102129723673719371551404100917843614311.91%4217083.37%51115223249.96%851192544.21%608128347.39%230116981695531962510
_Since Last GM Reset824229025223122199341251100212179105744117180231013311419990.604312555867071219889102129723673719371551404100917843614311.91%4217083.37%51115223249.96%851192544.21%608128347.39%230116981695531962510
_Vs Conference472218023111661333323127002119665312410110210070682540.5741662944600312198891012397236737193789422359010452182310.55%2434282.72%11115223249.96%851192544.21%608128347.39%230116981695531962510
_Vs Division22131000311625391173002113329411670010029245320.727621151770212198891050272367371937403120280444112108.93%1132478.76%01115223249.96%851192544.21%608128347.39%230116981695531962510

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8299L1312555867212915514041009178407
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8242292522312219
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4125110212179105
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117182310133114
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3614311.91%4217083.37%5
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
72367371937121988910
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
1115223249.96%851192544.21%608128347.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
230116981695531962510


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
213Senators1Crunch0WSommaire du match
427Ice Hogs0Senators9WSommaire du match
642Canucks2Senators5WSommaire du match
858Senators6Comets2WSommaire du match
1071Senators1Monsters2LSommaire du match
1286Monsters4Senators3LXSommaire du match
14102Senators2Rocket4LSommaire du match
16116Crunch2Senators3WXXSommaire du match
18129Senators8Bears1WSommaire du match
20142Bears0Senators10WSommaire du match
22156Senators0Wolf Pack5LSommaire du match
26185Marlies4Senators2LSommaire du match
28195Senators6Griffins1WSommaire du match
30212Griffins2Senators6WSommaire du match
32227Senators3Condors1WSommaire du match
33236Senators3Marlies1WSommaire du match
36252Comets3Senators4WSommaire du match
38271Phantoms3Senators2LSommaire du match
40286Senators6Roadrunners4WSommaire du match
42299Senators5Islanders0WSommaire du match
44314Bears1Senators6WSommaire du match
46333Senators2Eagles3LXSommaire du match
48346Bruins1Senators3WSommaire du match
50362Senators4Wolves2WSommaire du match
52373Senators8Admirals1WSommaire du match
53383Stars3Senators4WSommaire du match
56403Senators3Bruins2WXSommaire du match
57413Wild5Senators2LSommaire du match
60436Senators1Marlies3LSommaire du match
61446Wolves6Senators3LSommaire du match
64468Senators3Wild4LSommaire du match
65476Crunch2Senators1LXXSommaire du match
69502Comets1Senators7WSommaire du match
71513Senators3Crunch4LXSommaire du match
74535Penguins3Senators6WSommaire du match
77555Senators2Rocket4LSommaire du match
79569Firebirds1Senators8WSommaire du match
82595Griffins2Senators5WSommaire du match
85620Thunderbirds1Senators6WSommaire du match
87628Senators5Griffins2WSommaire du match
89647Eagles7Senators2LSommaire du match
91664Senators2Checkers1WXSommaire du match
92674Senators0Silver Knights6LSommaire du match
95693Gulls3Senators11WSommaire du match
98710Senators0Wranglers3LSommaire du match
99723Monsters3Senators4WSommaire du match
102746Senators1 Americans2LXSommaire du match
103756Silver Knights3Senators2LXXSommaire du match
106773Senators4Firebirds0WSommaire du match
108787Checkers3Senators2LSommaire du match
110803Senators5Stars4WXXSommaire du match
112814Reign2Senators4WSommaire du match
114827Senators3Comets2WSommaire du match
116846Ice Hogs2Senators8WSommaire du match
121875Islanders2Senators10WSommaire du match
123891Senators2Reign3LSommaire du match
125905Senators2Moose3LSommaire du match
126915Wolf Pack4Senators3LSommaire du match
129931Senators4Bears3WSommaire du match
130946Wranglers5Senators0LSommaire du match
134971Thunderbirds1Senators10WSommaire du match
136986Senators2Wolf Pack6LSommaire du match
1381000Senators1Barracuda3LSommaire du match
1391009Condors1Senators2WSommaire du match
1431036Roadrunners1Senators7WSommaire du match
1451045Senators4Gulls1WSommaire du match
1481067 Americans0Senators1WSommaire du match
1501083Senators4Condors7LSommaire du match
1521100Canucks4Senators1LSommaire du match
1541119Senators8Thunderbirds1WSommaire du match
1561131Admirals1Senators3WSommaire du match
1581145Senators10Ice Hogs0WSommaire du match
1611165Moose2Senators3WSommaire du match
1621173Senators2Canucks5LSommaire du match
1641192Senators1Phantoms4LSommaire du match
1661202Barracuda2Senators1LSommaire du match
1671210Senators3Penguins5LSommaire du match
1691229Senators1Canucks5LSommaire du match
1711242Senators2Monsters4LSommaire du match
1721248Rocket3Senators4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1751275Rocket5Senators4LXSommaire du match
1801301Marlies5Senators2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets400
Assistance80,59438,857
Assistance PCT98.29%94.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2913 - 97.11% 78,628$3,223,760$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,779,417$ 1,612,000$ 1,612,000$ 1,150,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,761$ 1,629,417$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,011$ 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