Connexion

Senators
GP: 56 | W: 28 | L: 26 | OTL: 2 | P: 58
GF: 234 | GA: 230 | PP%: 26.99% | PK%: 71.18%
DG: | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #943 vs Roadrunners
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Centre de jeu
Comets
39-17-3, 81pts
6
FINAL
4 Senators
28-26-2, 58pts
Team Stats
L2StreakW1
20-7-2Home Record12-16-2
19-10-1Away Record16-10-0
6-4-0Last 10 Games5-5-0
5.42Buts par match 4.18
3.90Buts contre par match 4.11
27.07%Pourcentage en avantage numérique26.99%
72.89%Pourcentage en désavantage numérique71.18%
Islanders
34-22-1, 69pts
3
FINAL
6 Senators
28-26-2, 58pts
Team Stats
L2StreakW1
17-11-1Home Record12-16-2
17-11-0Away Record16-10-0
6-3-1Last 10 Games5-5-0
4.77Buts par match 4.18
4.07Buts contre par match 4.11
46.62%Pourcentage en avantage numérique26.99%
65.29%Pourcentage en désavantage numérique71.18%
Senators
28-26-2, 58pts
2022-10-09
Roadrunners
21-31-6, 48pts
Statistiques d’équipe
W1SéquenceL2
12-16-2Fiche domicile10-17-2
16-10-0Fiche visiteur11-14-4
5-5-010 derniers matchs1-7-2
4.18Buts par match 4.24
4.11Buts contre par match 4.24
26.99%Pourcentage en avantage numérique27.27%
71.18%Pourcentage en désavantage numérique71.43%
Condors
29-26-2, 60pts
2022-10-11
Senators
28-26-2, 58pts
Statistiques d’équipe
W1SéquenceW1
10-18-1Fiche domicile12-16-2
19-8-1Fiche visiteur16-10-0
6-4-010 derniers matchs5-5-0
4.37Buts par match 4.18
4.56Buts contre par match 4.18
27.89%Pourcentage en avantage numérique26.99%
71.60%Pourcentage en désavantage numérique71.18%
Senators
28-26-2, 58pts
2022-10-13
Phantoms
31-26-1, 63pts
Statistiques d’équipe
W1SéquenceL1
12-16-2Fiche domicile17-11-1
16-10-0Fiche visiteur14-15-0
5-5-010 derniers matchs6-4-0
4.18Buts par match 3.97
4.11Buts contre par match 3.97
26.99%Pourcentage en avantage numérique28.92%
71.18%Pourcentage en désavantage numérique74.34%
Meneurs d'équipe
Adam GaudetteButs
Adam Gaudette
31
Erik BrannstromPasses
Erik Brannstrom
40
Clark BishopPoints
Clark Bishop
59
Angus CrookshankPlus/Moins
Angus Crookshank
25
Filip GustavssonVictoires
Filip Gustavsson
14
Mads SogaardPourcentage d’arrêts
Mads Sogaard
0.906

Statistiques d’équipe
Buts pour
234
4.18 GFG
Tirs pour
2101
37.52 Avg
Pourcentage en avantage numérique
27.0%
44 GF
Début de zone offensive
40.2%
Buts contre
230
4.11 GAA
Tirs contre
1880
33.57 Avg
Pourcentage en désavantage numérique
71.2%
49 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur général
EntraîneurTroy Mann
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro14
Équipe Mineure23
Limite contact 37 / 20
Espoirs0


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 moyen
1Logan ShawX100.007239836286828563716260656372765140640291725,000$
2Egor SokolovX100.007981876589868564546263586564656740640212818,333$
3Zachary SenyshynX100.007755888081728263506262606059618440640251750,000$
4Clark BishopX99.007340836477757264796458636367695440630261800,000$
5Adam GaudetteX98.006037916372788566786464576668705140630251997,005$
6Mark KastelicX100.008136655986798654756160615664655740620232821,667$
7Angus CrookshankX100.006556876868637864576359585757596940610223838,333$
8Scott SabourinX100.007682585687736959536758605871733440610291750,000$
9Cole ReinhardtX100.007238745775788557605859555863655140590223813,333$
10Erik BrannstromX99.006032767268868770307462605164668240640221863,333$
11Zac LeslieX100.007255736677738159506163576070677740620281750,000$
12Lassi ThomsonX100.006439816773858264306858605163658240620213863,333$
13Jonathan AspirotX100.006542675975697658305957574567694540580232768,333$
Rayé
MOYENNE D’ÉQUIPE99.69704978647877816255636059586567624062
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 moyen
1Michael McNiven99.00687069776765676665686766734240590241750,000$
Rayé
MOYENNE D’ÉQUIPE99.0068706977676567666568676673424059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Troy Mann67666668807572CAN523750,000$


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
1Vitaly AbramovSenatorsLW55363369318035892486416314.52%1691316.6033620590001235016.608200011.5100000534
2Clark BishopSenators (OTT)C5625345910280531272004713812.50%14102118.25781539126000050018.25131700021.1500000213
3Adam GaudetteSenators (OTT)C55312556-960371362507617712.40%22113620.664913381270000243120.66131900010.9900000224
4Erik BrannstromSenators (OTT)D43124052-53201086499306512.12%63107224.935914531060000106400.00%000100.9700000511
5Scott SabourinSenators (OTT)RW56143145855510650135499110.37%588815.863691950000003015.867600001.0100100342
6Angus CrookshankSenators (OTT)LW56202343251153248124398516.13%2477013.76000020000103113.763300011.1200001213
7Mark KastelicSenators (OTT)C5620214125460110103137328614.60%1478614.04000340002241314.0492100001.0400000021
8Victor MeteSenatorsD3863440614057729639666.25%7392024.2236954980000105100.00%000000.8700000024
9Lassi ThomsonSenators (OTT)D5663339-124049769532656.32%66113320.245914391080001114010.00%000000.6900000002
10Zac LeslieSenators (OTT)D5610283825401433587224511.49%68111219.87291128111000098120.00%000000.6800000021
11Egor SokolovSenators (OTT)LW42152136423577571453011110.34%989021.21391226970004872121.216300020.8100100423
12Jonathan AspirotSenators (OTT)D56225271046080335012324.00%6482014.66022213000038000.00%000000.6600000000
13Cole ReinhardtSenators (OTT)LW56111526-2120802880204513.75%1865211.65101160001201011.653100000.8000000100
14Zachary SenyshynSenators (OTT)RW30917265100445310136818.91%966822.2922425700004861122.2919000000.7800000031
15Logan ShawSenators (OTT)RW3071219-12403951113321096.19%868722.9332525760000771022.936300000.5500000010
16Parker KellySenatorsLW205914-410057417525716.67%645922.9624615520001611022.9618500000.6100000200
Statistiques d’équipe totales ou en moyenne7612294016309338315110710632035585143011.25%4791393518.314378121387111000014887271057.43%428000170.9000201262429
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
1Filip GustavssonSenators25141100.9052.98144901727610000.00%0251120
2Mads SogaardSenators114310.9063.2549920272880000.00%0926100
3Michael McNivenSenators (OTT)144600.8514.7558100463090000.00%0138000
Statistiques d’équipe totales ou en moyenne50222010.8933.4425302114513580000.00004735220


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
Adam GaudetteSenators (OTT)C251996-10-03No175 Lbs6 ft1NoNoNo1Pro & Farm997,005$300,174$0$0$NoLien / Lien NHL
Angus CrookshankSenators (OTT)LW221999-10-02No181 Lbs5 ft11NoNoNo3Pro & Farm838,333$252,401$0$0$No838,333$838,333$Lien / Lien NHL
Clark BishopSenators (OTT)C261996-03-29No197 Lbs6 ft1NoNoNo1Pro & Farm800,000$240,860$0$0$NoLien / Lien NHL
Cole ReinhardtSenators (OTT)LW222000-02-01No200 Lbs6 ft0NoNoNo3Pro & Farm813,333$244,874$0$0$No813,333$813,333$Lien / Lien NHL
Egor SokolovSenators (OTT)LW212000-06-07No222 Lbs6 ft3NoNoNo2Pro & Farm818,333$246,380$0$0$No818,333$Lien / Lien NHL
Erik BrannstromSenators (OTT)D221999-09-02No185 Lbs5 ft10NoNoNo1Pro & Farm863,333$259,928$0$0$NoLien / Lien NHL
Jonathan AspirotSenators (OTT)D231999-05-16No200 Lbs6 ft0NoNoNo2Pro & Farm768,333$231,326$0$0$No768,333$Lien / Lien NHL
Lassi ThomsonSenators (OTT)D212000-09-24No190 Lbs6 ft0NoNoNo3Pro & Farm863,333$259,928$0$0$No863,333$863,333$Lien / Lien NHL
Logan ShawSenators (OTT)RW291992-10-05No208 Lbs6 ft3NoNoNo1Pro & Farm725,000$218,280$0$0$NoLien / Lien NHL
Mark KastelicSenators (OTT)C231999-03-11No210 Lbs6 ft3NoNoNo2Pro & Farm821,667$247,384$0$0$No821,667$Lien / Lien NHL
Michael McNivenSenators (OTT)G241997-07-09No199 Lbs6 ft1NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Scott SabourinSenators (OTT)RW291992-07-30No207 Lbs6 ft4NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Zac LeslieSenators (OTT)D281994-01-31No175 Lbs6 ft0NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien
Zachary SenyshynSenators (OTT)RW251997-03-30No192 Lbs6 ft1NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1424.29196 Lbs6 ft11.64807,762$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam Gaudette40122
2Clark Bishop30122
3Angus CrookshankMark KastelicScott Sabourin20122
4Cole Reinhardt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik Brannstrom40122
2Lassi ThomsonZac Leslie30122
3Jonathan AspirotCole Reinhardt20122
4Erik Brannstrom10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam Gaudette60122
2Clark Bishop40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik Brannstrom60122
2Lassi ThomsonZac Leslie40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik Brannstrom60122
2Lassi ThomsonZac Leslie40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Erik Brannstrom60122
240122Lassi ThomsonZac Leslie40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik Brannstrom60122
2Lassi ThomsonZac Leslie40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam GaudetteErik Brannstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam GaudetteErik Brannstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Sabourin, Mark Kastelic, Angus CrookshankScott Sabourin, Mark KastelicAngus Crookshank
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Aspirot, Lassi Thomson, Zac LeslieJonathan AspirotLassi Thomson, Zac Leslie
Tirs de pénalité
, , , , Adam Gaudette
Gardien
#1 : Michael McNiven, #2 :
Lignes d’attaque personnalisées en prolongation
, , , , Adam Gaudette, Clark Bishop, Clark Bishop, Scott Sabourin, Mark Kastelic, Angus Crookshank, Cole Reinhardt
Lignes de défense personnalisées en prolongation
, Erik Brannstrom, Lassi Thomson, Zac Leslie, Jonathan Aspirot


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
1Admirals11000000633000000000001100000063321.00061016009981531347357056583244221000.00%10100.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
2American43100000191542200000011832110000087160.750193655009981531161735705658314539339312541.67%14564.29%01078188657.16%956180952.85%54999855.01%140110101271381691346
3Barrucada1010000035-21010000035-20000000000000.00035800998153150735705658336129144125.00%2150.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
4Bears1010000029-71010000029-70000000000000.0002460099815312473570565833311821100.00%4325.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
5Bruins20200000715-820200000715-80000000000000.0007121900998153181735705658390241844400.00%7185.71%01078188657.16%956180952.85%54999855.01%140110101271381691346
6Canucks312000001112-1211000005501010000067-120.33311223300998153111373570565838922207010330.00%9188.89%01078188657.16%956180952.85%54999855.01%140110101271381691346
7Checkers420011002217520001100131302200000094570.875224163009981531157735705658315954287114642.86%14564.29%01078188657.16%956180952.85%54999855.01%140110101271381691346
8Chekers1100000010461100000010460000000000021.0001017270099815315573570565834370153133.33%000.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
9Comets20200000611-51010000046-21010000025-300.000691500998153166735705658366148512150.00%4175.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
10Condors1010000024-2000000000001010000024-200.000246009981531347357056583371212125120.00%6183.33%01078188657.16%956180952.85%54999855.01%140110101271381691346
11Crunch4400000027111622000000158722000000123981.000274875009981531182735705658312230499010440.00%16381.25%01078188657.16%956180952.85%54999855.01%140110101271381691346
12Eagles21100000633211000006330000000000020.50061117009981531607357056583552320358225.00%8187.50%01078188657.16%956180952.85%54999855.01%140110101271381691346
13Griffins30300000610-42020000046-21010000024-200.0006111700998153197735705658394251465500.00%7271.43%01078188657.16%956180952.85%54999855.01%140110101271381691346
14Gulls312000001016-61010000026-421100000810-220.3331017270099815311037357056583831718568225.00%7271.43%01078188657.16%956180952.85%54999855.01%140110101271381691346
15IceHogs1010000067-1000000000001010000067-100.000610160099815314973570565832784153133.33%220.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
16Islanders11000000633110000006330000000000021.000610160099815315973570565832594174375.00%2150.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
17Marlies22000000725000000000002200000072541.00071320019981531957357056583551344415426.67%20100.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
18Monsters220000001798110000009541100000084441.000172845009981531867357056583662010354375.00%5180.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
19Moose210001008621000010023-11100000063330.7508122000998153175735705658366191641900.00%8362.50%01078188657.16%956180952.85%54999855.01%140110101271381691346
20Penguins22000000743110000004311100000031241.000714210099815318173570565834613103810220.00%4175.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
21Phantoms1010000015-41010000015-40000000000000.00012300998153128735705658341121223300.00%5260.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
22Reign20200000411-71010000013-21010000038-500.000471100998153171735705658372221435500.00%7185.71%01078188657.16%956180952.85%54999855.01%140110101271381691346
23Roadrunners11000000312110000003120000000000021.0003470099815313473570565833792322150.00%000.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
24Rocket2200000013940000000000022000000139441.000132639009981531747357056583721710395240.00%5260.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
25Silver Knights11000000734000000000001100000073421.000714210099815314873570565832384145240.00%20100.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
26Stars2020000048-41010000025-31010000023-100.000471100998153153735705658363222440400.00%12466.67%01078188657.16%956180952.85%54999855.01%140110101271381691346
27Thunderbirds1010000002-21010000002-20000000000000.000000009981531287357056583255622300.00%2150.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
28Wild11000000871000000000001100000087121.000813210099815314873570565836016816100.00%4175.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
29Wolf Pack20200000410-61010000016-51010000034-100.000471100998153133735705658392201455300.00%70100.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
30Wolves1010000028-61010000028-60000000000000.000235009981531227357056583341189100.00%440.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
Total56272601200234230430111601200113132-19261610000001219823580.51823441765101998153121017357056583188051838911331634426.99%1704971.18%01078188657.16%956180952.85%54999855.01%140110101271381691346
_Since Last GM Reset56272601200234230430111601200113132-19261610000001219823580.51823441765101998153121017357056583188051838911331634426.99%1704971.18%01078188657.16%956180952.85%54999855.01%140110101271381691346
_Vs Conference3318130110014613881879011007995-161511400000674324390.591146264410019981531124673570565831140312230695933032.26%1003169.00%01078188657.16%956180952.85%54999855.01%140110101271381691346
_Vs Division2113601100101792210440110050500119200000512922290.6901011872880199815318477357056583737202156446652132.31%651872.31%01078188657.16%956180952.85%54999855.01%140110101271381691346

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5658W123441765121011880518389113301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5627261200234230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3011161200113132
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
261610000012198
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1634426.99%1704971.18%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
73570565839981531
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
1078188657.16%956180952.85%54999855.01%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
140110101271381691346


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
3 - 2022-06-0219American2Senators3BWSommaire du match
5 - 2022-06-0431Senators2Stars3ALSommaire du match
7 - 2022-06-0644Eagles1Senators5BWSommaire du match
10 - 2022-06-0963Senators5Crunch2AWSommaire du match
12 - 2022-06-1176Eagles2Senators1BLSommaire du match
16 - 2022-06-15102Crunch3Senators7BWSommaire du match
18 - 2022-06-17120Senators4Rocket3AWSommaire du match
20 - 2022-06-19134Checkers3Senators4BWXSommaire du match
22 - 2022-06-21152Senators3American4ALSommaire du match
23 - 2022-06-22160Senators2Marlies0AWSommaire du match
26 - 2022-06-25174Canucks3Senators4BWSommaire du match
28 - 2022-06-27195Bruins6Senators4BLSommaire du match
31 - 2022-06-30214Senators2Griffins4ALSommaire du match
34 - 2022-07-03227Griffins3Senators2BLSommaire du match
35 - 2022-07-04237Senators5Gulls3AWSommaire du match
37 - 2022-07-06255Senators2Checkers1AWSommaire du match
39 - 2022-07-08267Moose3Senators2BLXSommaire du match
42 - 2022-07-11291Senators6IceHogs7ALSommaire du match
44 - 2022-07-13302Barrucada5Senators3BLSommaire du match
46 - 2022-07-15319Senators6Admirals3AWSommaire du match
47 - 2022-07-16331Chekers4Senators10BWSommaire du match
50 - 2022-07-19355Wolves8Senators2BLSommaire du match
52 - 2022-07-21366Senators3Reign8ALSommaire du match
55 - 2022-07-24389American6Senators8BWSommaire du match
57 - 2022-07-26408Senators8Wild7AWSommaire du match
59 - 2022-07-28421Checkers10Senators9BLXSommaire du match
61 - 2022-07-30436Senators2Condors4ALSommaire du match
63 - 2022-08-01450Senators7Silver Knights3AWSommaire du match
65 - 2022-08-03462Roadrunners1Senators3BWSommaire du match
69 - 2022-08-07487Gulls6Senators2BLSommaire du match
72 - 2022-08-10514Griffins3Senators2BLSommaire du match
75 - 2022-08-13529Senators5American3AWSommaire du match
77 - 2022-08-15544Senators5Marlies2AWSommaire du match
79 - 2022-08-17555Wolf Pack6Senators1BLSommaire du match
81 - 2022-08-19569Senators7Checkers3AWSommaire du match
83 - 2022-08-21582Reign3Senators1BLSommaire du match
86 - 2022-08-24604Senators3Penguins1AWSommaire du match
87 - 2022-08-25618Canucks2Senators1BLSommaire du match
92 - 2022-08-30646Thunderbirds2Senators0BLSommaire du match
95 - 2022-09-02672Monsters5Senators9BWSommaire du match
99 - 2022-09-06698Senators8Monsters4AWSommaire du match
100 - 2022-09-07706Stars5Senators2BLSommaire du match
103 - 2022-09-10728Senators9Rocket6AWSommaire du match
104 - 2022-09-11737Bruins9Senators3BLSommaire du match
107 - 2022-09-14757Senators2Comets5ALSommaire du match
108 - 2022-09-15768Phantoms5Senators1BLSommaire du match
111 - 2022-09-18791Senators7Crunch1AWSommaire du match
113 - 2022-09-20801Crunch5Senators8BWSommaire du match
115 - 2022-09-22818Senators3Gulls7ALSommaire du match
116 - 2022-09-23824Senators6Canucks7ALSommaire du match
117 - 2022-09-24837Penguins3Senators4BWSommaire du match
119 - 2022-09-26853Senators3Wolf Pack4ALSommaire du match
121 - 2022-09-28867Bears9Senators2BLSommaire du match
125 - 2022-10-02895Senators6Moose3AWSommaire du match
126 - 2022-10-03901Comets6Senators4BLSommaire du match
130 - 2022-10-07929Islanders3Senators6BWSommaire du match
132 - 2022-10-09943Senators-Roadrunners-
134 - 2022-10-11961Condors-Senators-
136 - 2022-10-13973Senators-Phantoms-
138 - 2022-10-15992IceHogs-Senators-
140 - 2022-10-171004Senators-Bears-
143 - 2022-10-201024Admirals-Senators-
144 - 2022-10-211033Senators-Barrucada-
147 - 2022-10-241052Senators-Heat-
148 - 2022-10-251062Rocket-Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2022-10-281081Senators-Thunderbirds-
153 - 2022-10-301094Wild-Senators-
155 - 2022-11-011114Senators-Eagles-
156 - 2022-11-021123Rocket-Senators-
159 - 2022-11-051136Senators-Chekers-
161 - 2022-11-071155Heat-Senators-
162 - 2022-11-081163Senators-Griffins-
165 - 2022-11-111182Senators-Eagles-
166 - 2022-11-121188Senators-Islanders-
167 - 2022-11-131197Eagles-Senators-
171 - 2022-11-171223Senators-Wolves-
172 - 2022-11-181228Senators-Stars-
173 - 2022-11-191238Silver Knights-Senators-
175 - 2022-11-211250Senators-Bruins-
178 - 2022-11-241272Marlies-Senators-
180 - 2022-11-261281Senators-Bruins-
183 - 2022-11-291303Marlies-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,425,378$ 1,130,865$ 1,130,865$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,080$ 901,203$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 10,112$ 566,272$




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