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Senators
GP: 82 | W: 40 | L: 36 | OTL: 6 | P: 86
GF: 338 | GA: 315 | PP%: 20.90% | PK%: 76.34%
DG: Thomas G | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Senators
40-36-6, 86pts
6
FINAL
2 Barracudas
10-69-3, 23pts
Team Stats
W3StreakL2
20-17-4Home Record7-33-1
20-19-2Away Record3-36-2
5-3-2Last 10 Games2-7-1
4.12Buts par match 1.90
3.84Buts contre par match 7.15
20.90%Pourcentage en avantage numérique7.39%
76.34%Pourcentage en désavantage numérique71.92%
Senators
40-36-6, 86pts
5
FINAL
4 Marlies
68-12-2, 138pts
Team Stats
W3StreakL1
20-17-4Home Record35-4-2
20-19-2Away Record33-8-0
5-3-2Last 10 Games9-1-0
4.12Buts par match 5.32
3.84Buts contre par match 1.60
20.90%Pourcentage en avantage numérique20.81%
76.34%Pourcentage en désavantage numérique88.65%
Meneurs d'équipe
Matthew PecaButs
Matthew Peca
64
Matthew PecaPasses
Matthew Peca
73
Matthew PecaPoints
Matthew Peca
137
Matthew PecaPlus/Moins
Matthew Peca
44
Victoires
Nico Daws
15
Pourcentage d’arrêts
Nico Daws
0.898

Statistiques d’équipe
Buts pour
338
4.12 GFG
Tirs pour
2145
26.16 Avg
Pourcentage en avantage numérique
20.9%
70 GF
Début de zone offensive
39.5%
Buts contre
315
3.84 GAA
Tirs contre
1751
21.35 Avg
Pourcentage en désavantage numérique
76.3%%
88 GA
Début de la zone défensive
34.1%
Informations de l'équipe

Directeur généralThomas G
EntraîneurNolan Pratt
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,924
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 50
Espoirs34


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
1Zack KassianX100.0092807083806268613767596225727365506503212,800,000$
2Devin ShoreXX100.0079449379755569586061597675676866506502821,350,000$
3Matthew PecaXXX100.0071639179637274668063646561535367506403012,000,000$
4Ryan ReavesX100.0099788273845779554461586225768064506403611,000,000$
5Buddy RobinsonX100.0083988371905462592663567263595964506303111,000,000$
6Nic PetanXXX100.006140927962566468446055652560606250610281775,000$
7Klim KostinXXX100.008859837479535858446159612549496350600241863,333$
8Cole BardreauXX100.007668956368565660755262675955556350600291900,000$
9Jonas Rondbjerg (R)XX100.006342956672557954256158672546466250590243900,000$
10Dylan Coghlan (R)X100.0076449073726570672552487225555561506502521,100,000$
11Lassi Thomson (R)X100.0079449572707272692564476925454563506502231,288,333$
12Radim SimekX100.0092469266726264602542487125616160506403033,500,000$
13Cam Dineen (R)X100.006742956666686461255547782547476150630242910,833$
14Jordan GrossX100.007168796668626263256151624844446050600281850,000$
15Dakota MermisX100.006871616771586054254941613955555350580293750,000$
16Simon Lundmark (R)X100.008075917075515247253841633944445350570223925,000$
Rayé
1Pascal Laberge (R)X100.007465956465555653664358615544445950550253925,000$
2Mitch ReinkeX100.007566966366586052254941623944445550570271800,000$
3Patrick Holway (R)X100.007784616684484948253942624044445150560263700,000$
4Daniel WalcottXX100.006666666566555749504547564544445250550292750,000$
5Will Reilly (R)X100.007673826373454645253540603844445050540253700,000$
MOYENNE D’ÉQUIPE100.00776385707258635738535165395353605060
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
1Nico Daws (R)100.00634747836956696365627846466250610223925,000$
2Joe Vrbetic (R)100.00515555555555555555555555555555540203700,000$
Rayé
MOYENNE D’ÉQUIPE100.0057515169625662596059675151595358
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Nolan Pratt62777666686380CAN462700,000$


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
1Matthew PecaSenators (OTT)C/LW/RW786473137442404917434710324618.44%15166621.371020304424311271646367.61%137700021.64020001478
2Klim KostinSenators (OTT)C/LW/RW82456711227840163862227321120.27%22145517.75101424402310001218152.69%9300131.54000006140
3Dylan CoghlanSenators (OTT)D78196887221040146801455110513.10%78157120.159142393256011223910100.00%100001.1100000155
4Ryan ReavesSenators (OTT)RW783149803411725245771816515817.13%29149619.19515203121000082433061.68%10700001.0712122148
5Jonas RondbjergSenators (OTT)LW/RW82225577360014731946613411.34%20122114.905152038236000042039.19%7400001.2600000113
6Cole BardreauSenators (OTT)C/RW7834427633195191212025216516.83%12133117.077121937218101121645369.82%124900001.1400010414
7Radim SimekSenators (OTT)D782448722296018156135298617.78%47142918.32131528672160112201200.00%000001.0100000324
8Buddy RobinsonSenators (OTT)RW78421658-310951771242605517116.15%39128716.500002141122864050.00%5600000.9012001615
9Jordan GrossSenators (OTT)D787323914440814649183314.29%3099612.7711212450000800100.00%100000.7800000100
10Cam DineenSenators (OTT)D32622281700133030102520.00%3565520.495510201021121128000.00%000000.8500000052
11Pascal LabergeSenators (OTT)C43131427980244482226215.85%1169916.261236430000251164.21%55600010.7700000201
12Dakota MermisSenators (OTT)D784212519755127292681515.38%44102413.1300001000199100.00%200000.4900100011
13Zack KassianSenators (OTT)RW3212102217475705269194717.39%669921.872241210601141132158.08%26000100.6301100301
14Lassi ThomsonSenators (OTT)D284172119280343025132816.00%2064823.15145161000000109100.00%000000.6500000020
15Simon LundmarkSenators (OTT)D411121312140355127118.33%163298.040002121012390060.00%500000.7900000001
16Daniel WalcottSenators (OTT)LW/D3956111914023162272022.73%365216.731232280000661062.22%4500000.3400000010
17Mitch ReinkeSenators (OTT)D2011020110000.00%32613.380000200000000.00%000000.7500000000
18Patrick HolwaySenators (OTT)D2011020631000.00%12613.380000200000000.00%000000.7500000000
Statistiques d’équipe totales ou en moyenne100733355488734178745140810472002598151716.63%4311721917.10701211914222073561142172037965.76%382600261.0327333424443
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
1Nico DawsSenators (OTT)2115510.8981.80126422383720201.0004210100
Statistiques d’équipe totales ou en moyenne2115510.8981.80126422383720204210100


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 Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Buddy RobinsonSenators (OTT)RW311991-09-29No232 Lbs6 ft6NoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Cam DineenSenators (OTT)D241998-06-18Yes183 Lbs5 ft11NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Cole BardreauSenators (OTT)C/RW291993-07-22No190 Lbs5 ft10NoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Dakota MermisSenators (OTT)D291994-01-05No196 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Daniel WalcottSenators (OTT)LW/D291994-02-19No175 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Devin ShoreSenators (OTT)C/LW281994-07-19No206 Lbs6 ft1NoNoNo2Pro & Farm1,350,000$0$0$No1,350,000$Lien / Lien NHL
Dylan CoghlanSenators (OTT)D251998-02-19Yes190 Lbs6 ft2NoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$Lien / Lien NHL
Joe VrbeticSenators (OTT)G202002-10-24 3:28:39 PMYes187 Lbs6 ft5NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Jonas RondbjergSenators (OTT)LW/RW241999-03-31Yes194 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Jordan GrossSenators (OTT)D281995-05-09No190 Lbs5 ft10NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Klim KostinSenators (OTT)C/LW/RW241999-05-05No212 Lbs6 ft3NoNoNo1Pro & Farm863,333$0$0$NoLien / Lien NHL
Lassi ThomsonSenators (OTT)D222000-09-24Yes190 Lbs6 ft0NoNoNo3Pro & Farm1,288,333$0$0$No1,288,333$1,288,333$Lien
Matthew PecaSenators (OTT)C/LW/RW301993-04-27No182 Lbs5 ft8NoNoNo1Pro & Farm2,000,000$0$0$NoLien / Lien NHL
Mitch ReinkeSenators (OTT)D271996-02-04No181 Lbs5 ft11NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Nic PetanSenators (OTT)C/LW/RW281995-03-22No175 Lbs5 ft9NoNoNo1Pro & Farm775,000$0$0$NoLien / Lien NHL
Nico DawsSenators (OTT)G222000-12-22Yes203 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Pascal LabergeSenators (OTT)C251998-04-09Yes172 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Patrick HolwaySenators (OTT)D261996-10-01Yes220 Lbs6 ft5NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Radim SimekSenators (OTT)D301992-09-20No200 Lbs5 ft11NoNoNo3Pro & Farm3,500,000$0$0$No3,500,000$3,500,000$Lien / Lien NHL
Ryan ReavesSenators (OTT)RW361987-01-20No225 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Simon LundmarkSenators (OTT)D222000-10-08Yes201 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Will ReillySenators (OTT)D251997-07-23Yes196 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Zack KassianSenators (OTT)RW321991-01-24No211 Lbs6 ft3NoNoNo1Pro & Farm2,800,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.78196 Lbs6 ft12.041,148,370$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Klim KostinMatthew Peca40122
2Jonas RondbjergCole BardreauRyan Reaves30122
3Buddy Robinson20122
4Ryan ReavesMatthew Peca10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan40122
2Radim Simek30122
3Jordan GrossDakota Mermis20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Klim KostinMatthew Peca60122
2Jonas RondbjergCole BardreauRyan Reaves40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan60122
2Radim Simek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Reaves60122
2Matthew PecaBuddy Robinson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan60122
2Radim Simek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Dylan Coghlan60122
2Ryan Reaves40122Radim Simek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Reaves60122
2Matthew PecaBuddy Robinson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan60122
2Radim Simek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Klim KostinMatthew PecaDylan Coghlan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Klim KostinMatthew PecaDylan Coghlan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Cole Bardreau, Cole Bardreau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Gross, Dakota Mermis, Jordan GrossDakota Mermis,
Tirs de pénalité
, Ryan Reaves, Matthew Peca, Buddy Robinson, Cole Bardreau
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, Ryan Reaves, Matthew Peca, Buddy Robinson, Cole Bardreau, Klim Kostin, Klim Kostin, Jonas Rondbjerg, , ,
Lignes de défense personnalisées en prolongation
, Dylan Coghlan, Radim Simek, , Jordan Gross


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 Americans220000001596110000007251100000087141.000152641001411088827570172471117571314336116.67%7357.14%01210199960.53%892172451.74%764133557.23%233717661683488917492
2Admirals220000001055110000007521100000030341.00010203001141108882767017247111722111641200.00%8187.50%01210199960.53%892172451.74%764133557.23%233717661683488917492
3Barracudas2200000014311110000008171100000062441.00014274100141108882977017247111719516386233.33%7185.71%01210199960.53%892172451.74%764133557.23%233717661683488917492
4Bears3300000017314110000008172200000092761.0001733500114110888211770172471117371718674375.00%9188.89%01210199960.53%892172451.74%764133557.23%233717661683488917492
5Bruins220000001284110000006511100000063341.0001223350014110888243701724711174715323310550.00%16756.25%01210199960.53%892172451.74%764133557.23%233717661683488917492
6Canucks412001001617-120200000810-22100010087130.3751627430014110888292701724711178526305426311.54%12375.00%01210199960.53%892172451.74%764133557.23%233717661683488917492
7Checkers22000000752110000005411100000021141.00071219001411088825470172471117391222314125.00%10190.00%01210199960.53%892172451.74%764133557.23%233717661683488917492
8Comets413000001213-1211000006512020000068-220.2501222340014110888269701724711176516616524416.67%26676.92%01210199960.53%892172451.74%764133557.23%233717661683488917492
9Condors31100001511-61000000123-12110000038-530.50051015001411088825570172471117671734492214.55%18572.22%11210199960.53%892172451.74%764133557.23%233717661683488917492
10Crunch4220000013112211000009542110000046-240.5001324370014110888281701724711177926407216212.50%20480.00%01210199960.53%892172451.74%764133557.23%233717661683488917492
11Eagles20200000610-41010000035-21010000035-200.0006101600141108882207017247111741917467342.86%5180.00%01210199960.53%892172451.74%764133557.23%233717661683488917492
12Firebirds2200000010010110000004041100000060641.00010172702141108882977017247111718313467114.29%30100.00%01210199960.53%892172451.74%764133557.23%233717661683488917492
13Griffins51400000926-1730300000518-132110000048-420.2009162500141108882997017247111712840667022313.64%27966.67%11210199960.53%892172451.74%764133557.23%233717661683488917492
14Gulls201001001013-31000010056-11010000057-210.250101525001411088825070172471117742220575120.00%9277.78%01210199960.53%892172451.74%764133557.23%233717661683488917492
15Heat211000001213-1110000008531010000048-420.500122234001411088826070172471117741720267342.86%9366.67%01210199960.53%892172451.74%764133557.23%233717661683488917492
16IceHogs30200100917-820100100711-41010000026-410.16791524001411088828370172471117973332868112.50%16475.00%11210199960.53%892172451.74%764133557.23%233717661683488917492
17Marlies413000001325-1220200000712-521100000613-720.25013213400141108882777017247111711826466022313.64%23673.91%01210199960.53%892172451.74%764133557.23%233717661683488917492
18Monsters42100010171252010001068-222000000114760.7501725420014110888280701724711176922438526519.23%16381.25%01210199960.53%892172451.74%764133557.23%233717661683488917492
19Moose20200000611-51010000045-11010000026-400.000681400141108882427017247111744914427114.29%6266.67%01210199960.53%892172451.74%764133557.23%233717661683488917492
20Penguins2200000014212110000005141100000091841.00014274100141108882527017247111735628386233.33%14285.71%01210199960.53%892172451.74%764133557.23%233717661683488917492
21Phantoms3200010015114220000009451000010067-150.8331527420114110888273701724711177514433612541.67%18288.89%01210199960.53%892172451.74%764133557.23%233717661683488917492
22Rampage 21100000752110000005231010000023-120.500713200014110888275701724711173891234200.00%7185.71%01210199960.53%892172451.74%764133557.23%233717661683488917492
23Reign21100000981110000005231010000046-220.50091322001411088827770172471117386103411327.27%50100.00%01210199960.53%892172451.74%764133557.23%233717661683488917492
24Roadrunners2200000014212110000007161100000071641.00014243800141108882727017247111721814423133.33%70100.00%21210199960.53%892172451.74%764133557.23%233717661683488917492
25Rocket504001001132-2120100100410-630300000722-1510.1001117280014110888210170172471117153497110732412.50%30873.33%01210199960.53%892172451.74%764133557.23%233717661683488917492
26Sound Tigers2200000014591100000010281100000043141.000142539001411088828570172471117151012403133.33%4175.00%01210199960.53%892172451.74%764133557.23%233717661683488917492
27Stars220000002071311000000133101100000074341.00020375700141108882877017247111742812425240.00%60100.00%01210199960.53%892172451.74%764133557.23%233717661683488917492
28Thunderbirds2020000036-31010000013-21010000023-100.000369001411088821870172471117451125266116.67%9277.78%01210199960.53%892172451.74%764133557.23%233717661683488917492
29Wild2110000067-1110000004221010000025-320.5006121800141108882467017247111735714249333.33%7185.71%01210199960.53%892172451.74%764133557.23%233717661683488917492
30Wolf Pack2110000068-21010000015-41100000053220.50061016001411088825270172471117401018229222.22%9455.56%01210199960.53%892172451.74%764133557.23%233717661683488917492
31Wolves20200000610-41010000025-31010000045-100.00061117001411088824070172471117341218356350.00%9544.44%01210199960.53%892172451.74%764133557.23%233717661683488917492
Total8239360051133831523411917003111811513041201900200157164-7860.52433859593305141108882214570172471117175148983114813357020.90%3728876.34%51210199960.53%892172451.74%764133557.23%233717661683488917492
_Since Last GM Reset8239360051133831523411917003111811513041201900200157164-7860.52433859593305141108882214570172471117175148983114813357020.90%3728876.34%51210199960.53%892172451.74%764133557.23%233717661683488917492
_Vs Conference48222200310179184-524913001109093-324139002008991-2490.5101793154940214110888210937017247111710303005558062224419.82%2435975.72%11210199960.53%892172451.74%764133557.23%233717661683488917492
_Vs Division248190021076117-4112211001103955-161268001003762-25200.4177613320900141108882494701724711176271802944011141916.67%1323970.45%11210199960.53%892172451.74%764133557.23%233717661683488917492

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8286W333859593321451751489831148105
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8239360511338315
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119170311181151
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120190200157164
Derniers 10 matchs
WLOTWOTL SOWSOL
530101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3357020.90%3728876.34%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
70172471117141108882
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
1210199960.53%892172451.74%764133557.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
233717661683488917492


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
1 - 2023-03-228Senators2Rocket10ALSommaire du match
2 - 2023-03-2317Senators1Marlies9ALSommaire du match
4 - 2023-03-2529Griffins6Senators1BLSommaire du match
6 - 2023-03-2755Griffins7Senators2BLSommaire du match
9 - 2023-03-3072Comets1Senators3BWSommaire du match
11 - 2023-04-0189Senators2Rocket4ALSommaire du match
13 - 2023-04-03105Phantoms0Senators2BWSommaire du match
14 - 2023-04-04113Senators6Bears0AWSommaire du match
16 - 2023-04-06132Senators1Comets2ALSommaire du match
18 - 2023-04-08149Rocket3Senators2BLXSommaire du match
19 - 2023-04-09162Senators7Monsters2AWSommaire du match
21 - 2023-04-11180Crunch2Senators1BLSommaire du match
23 - 2023-04-13199Canucks3Senators2BLSommaire du match
26 - 2023-04-16215Senators3Crunch1AWSommaire du match
28 - 2023-04-18235Monsters2Senators3BWXXSommaire du match
30 - 2023-04-20248Senators2Griffins1AWSommaire du match
31 - 2023-04-21255Senators3Condors2AWSommaire du match
33 - 2023-04-23275Senators2Checkers1AWSommaire du match
34 - 2023-04-24285Barracudas1Senators8BWSommaire du match
37 - 2023-04-27305Senators2Thunderbirds3ALSommaire du match
38 - 2023-04-28317Penguins1Senators5BWSommaire du match
40 - 2023-04-30334Senators9Penguins1AWSommaire du match
42 - 2023-05-02346Wild2Senators4BWSommaire du match
44 - 2023-05-04361Senators4Monsters2AWSommaire du match
46 - 2023-05-06377Phantoms4Senators7BWSommaire du match
48 - 2023-05-08390Senators7Roadrunners1AWSommaire du match
50 - 2023-05-10406Senators5Comets6ALSommaire du match
51 - 2023-05-11415Bears1Senators8BWSommaire du match
54 - 2023-05-14441Thunderbirds3Senators1BLSommaire du match
56 - 2023-05-16454Senators2Rampage 3ALSommaire du match
58 - 2023-05-18473Firebirds0Senators4BWSommaire du match
60 - 2023-05-20493Senators3Admirals0AWSommaire du match
62 - 2023-05-22505Griffins5Senators2BLSommaire du match
64 - 2023-05-24523Senators2IceHogs6ALSommaire du match
66 - 2023-05-26538Rampage 2Senators5BWSommaire du match
68 - 2023-05-28557Senators3Canucks4ALXSommaire du match
69 - 2023-05-29568Stars3Senators13BWSommaire du match
71 - 2023-05-31577Senators6Bruins3AWSommaire du match
73 - 2023-06-02593Senators4Sound Tigers3AWSommaire du match
74 - 2023-06-03607Canucks7Senators6BLSommaire du match
77 - 2023-06-06629Rocket7Senators2BLSommaire du match
78 - 2023-06-07643Senators3Rocket8ALSommaire du match
81 - 2023-06-10662 Americans2Senators7BWSommaire du match
83 - 2023-06-12678Senators3Bears2AWSommaire du match
84 - 2023-06-13690Senators2Moose6ALSommaire du match
86 - 2023-06-15702Roadrunners1Senators7BWSommaire du match
88 - 2023-06-17722Senators0Condors6ALSommaire du match
90 - 2023-06-19734Admirals5Senators7BWSommaire du match
92 - 2023-06-21752Senators1Crunch5ALSommaire du match
94 - 2023-06-23766Wolves5Senators2BLSommaire du match
97 - 2023-06-26787Senators5Canucks3AWSommaire du match
99 - 2023-06-28798Monsters6Senators3BLSommaire du match
101 - 2023-06-30814Senators4Reign6ALSommaire du match
102 - 2023-07-01826Comets4Senators3BLSommaire du match
105 - 2023-07-04852Senators5Wolf Pack3AWSommaire du match
106 - 2023-07-05861Bruins5Senators6BWSommaire du match
110 - 2023-07-09886Heat5Senators8BWSommaire du match
111 - 2023-07-10901Senators4Heat8ALSommaire du match
114 - 2023-07-13921Marlies6Senators3BLSommaire du match
116 - 2023-07-15941Senators2Wild5ALSommaire du match
117 - 2023-07-16949Senators5Gulls7ALSommaire du match
118 - 2023-07-17957Eagles5Senators3BLSommaire du match
121 - 2023-07-20981Wolf Pack5Senators1BLSommaire du match
125 - 2023-07-241009Marlies6Senators4BLSommaire du match
129 - 2023-07-281037Checkers4Senators5BWSommaire du match
131 - 2023-07-301053Senators7Stars4AWSommaire du match
133 - 2023-08-011068Gulls6Senators5BLXSommaire du match
135 - 2023-08-031092Senators8 Americans7AWSommaire du match
137 - 2023-08-051101Reign2Senators5BWSommaire du match
139 - 2023-08-071120Senators3Eagles5ALSommaire du match
140 - 2023-08-081132Moose5Senators4BLSommaire du match
142 - 2023-08-101149Senators6Phantoms7ALXSommaire du match
144 - 2023-08-121163Condors3Senators2BLXXSommaire du match
145 - 2023-08-131172Senators4Wolves5ALSommaire du match
148 - 2023-08-161195Sound Tigers2Senators10BWSommaire du match
150 - 2023-08-181211Senators6Firebirds0AWSommaire du match
153 - 2023-08-211230Senators2Griffins7ALSommaire du match
154 - 2023-08-221240IceHogs7Senators6BLXSommaire du match
157 - 2023-08-251258IceHogs4Senators1BLSommaire du match
162 - 2023-08-301287Crunch3Senators8BWSommaire du match
163 - 2023-08-311298Senators6Barracudas2AWSommaire du match
164 - 2023-09-011303Senators5Marlies4AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets400
Assistance80,65239,221
Assistance PCT98.36%95.66%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2924 - 97.46% 78,685$3,226,080$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,168,392$ 2,641,249$ 2,668,616$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,911$ 2,468,388$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 20,128$ 0$




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

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 (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