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Connexion

Senators
GP: 30 | W: 5 | L: 23 | OTL: 2 | P: 12
GF: 113 | GA: 215 | PP%: 34.67% | PK%: 33.91%
DG: Philippe Langevin | Morale : 41 | Moyenne d’équipe : 69
Prochains matchs #373 vs Distraction

Centre de jeu
Senators
5-23-2, 12pts
1
FINAL
7 National
28-2-0, 56pts
Team Stats
W1SéquenceW13
4-11-0Fiche domicile15-1-0
1-12-2Fiche domicile13-1-0
3-7-0Derniers 10 matchs10-0-0
3.77Buts par match 7.90
7.17Buts contre par match 3.27
34.67%Pourcentage en avantage numérique51.03%
33.91%Pourcentage en désavantage numérique59.74%
Wildcats
11-17-2, 24pts
4
FINAL
7 Senators
5-23-2, 12pts
Team Stats
L2SéquenceW1
5-9-0Fiche domicile4-11-0
6-8-2Fiche domicile1-12-2
2-7-1Derniers 10 matchs3-7-0
4.67Buts par match 3.77
6.40Buts contre par match 7.17
50.00%Pourcentage en avantage numérique34.67%
47.79%Pourcentage en désavantage numérique33.91%
Distraction
15-13-2, 32pts
Jour 62
Senators
5-23-2, 12pts
Statistiques d’équipe
W3SéquenceW1
8-6-1Fiche domicile4-11-0
7-7-1Fiche visiteur1-12-2
8-2-010 derniers matchs3-7-0
6.10Buts par match 3.77
6.60Buts contre par match 3.77
58.25%Pourcentage en avantage numérique34.67%
50.00%Pourcentage en désavantage numérique33.91%
Prospects
16-13-1, 33pts
Jour 63
Senators
5-23-2, 12pts
Statistiques d’équipe
L1SéquenceW1
10-4-1Fiche domicile4-11-0
6-9-0Fiche visiteur1-12-2
6-3-110 derniers matchs3-7-0
5.07Buts par match 3.77
5.57Buts contre par match 3.77
43.59%Pourcentage en avantage numérique34.67%
44.33%Pourcentage en désavantage numérique33.91%
Senators
5-23-2, 12pts
Jour 65
Falcons
17-11-2, 36pts
Statistiques d’équipe
W1SéquenceW2
4-11-0Fiche domicile8-6-1
1-12-2Fiche visiteur9-5-1
3-7-010 derniers matchs3-6-1
3.77Buts par match 5.87
7.17Buts contre par match 5.87
34.67%Pourcentage en avantage numérique51.35%
33.91%Pourcentage en désavantage numérique54.37%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
113
3.77 GFG
Tirs pour
691
23.03 Avg
Pourcentage en avantage numérique
34.7%
26 GF
Début de zone offensive
23.7%
Buts contre
215
7.17 GAA
Tirs contre
1103
36.77 Avg
Pourcentage en désavantage numérique
33.9%%
76 GA
Début de la zone défensive
32.9%
Informations de l'équipe

Directeur généralPhilippe Langevin
EntraîneurBill Peters
DivisionRichard
ConférenceConference 1
Capitaine
Assistant #1Erik Brannstrom
Assistant #2Valeri Nichushkin


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro11
Équipe Mineure19
Limite contact 30 / 55
Espoirs26


Historique d'équipe

Saison actuelle5-23-2 (12PTS)
Historique136-201-20 (0.381%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)1 - 8 (0.111%)
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
1Trent FredericX100.009377828889759076627477785674770587302722,300,000$
2Jake Neighbours (R)X100.00896394858578867550678373797074058720232925,000$
3Alexandre TexierX100.007457899578778772507172797172740587102511,525,000$
4Jimmy VeseyXX100.0080609483847487705068727650807805870N0322999,999$
5Tanner PearsonX100.007765918383745967506767745083810586803212,299,999$
6Drake CaggiulaXX100.0077659588778040685067687950737405868N03121,125,000$
7Jaret Anderson-Dolan (R)X100.00895988898279406166606274506869058660251975,000$
8Nic PetanX100.00685795877677406650656775507071058660301775,000$
9Calvin De HaanX100.0088659288868066665066657650838105872N0341775,000$
10Casey Fitzgerald (R)X100.0092637984858240665070626750666905868N0281775,000$
11Nikolas Matinpalo (R)X100.0078649886836740615060616450636605863N0261750,800$
Rayé
MOYENNE D’ÉQUIPE100.0082639187837761685367697455737405869
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
Rayé
MOYENNE D’ÉQUIPE0.000000000000000000
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peters66706775776999USA572750,000$


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
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


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
Alexandre TexierSenators (RDS)C251999-09-13FRANo192 Lbs6 ft1NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm1,525,000$912,925$0$0$No---------------------------Lien
Calvin De HaanSenators (RDS)D341991-05-09CANNo197 Lbs6 ft1YesNoFree AgentNoNo12025-04-21FalseFalsePro & Farm775,000$463,946$0$0$No---------------------------Lien
Casey FitzgeraldSenators (RDS)D281997-02-25USAYes188 Lbs5 ft11YesNoFree AgentNoNo12025-04-21FalseFalsePro & Farm775,000$463,946$0$0$No---------------------------
Drake CaggiulaSenators (RDS)LW/RW311994-06-20CANNo185 Lbs5 ft10YesNoFree AgentNoNo22025-04-21FalseFalsePro & Farm1,125,000$673,469$0$0$No1,125,000$--------1,125,000$--------Yes--------Lien
Jake NeighboursSenators (RDS)LW232002-03-29CANYes201 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm925,000$553,741$0$0$No925,000$--------925,000$--------No--------
Jaret Anderson-DolanSenators (RDS)C251999-09-12CANYes188 Lbs5 ft11NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm975,000$583,673$0$0$No---------------------------
Jimmy VeseySenators (RDS)LW/RW321993-05-26USANo206 Lbs6 ft3YesNoFree AgentNoNo22025-04-21FalseFalsePro & Farm999,999$598,639$0$0$No999,999$--------999,999$--------Yes--------Lien
Nic PetanSenators (RDS)LW301995-03-22CANNo179 Lbs5 ft9NoNoFree AgentNoNo12024-03-15FalseFalsePro & Farm775,000$463,946$0$0$No---------------------------Lien
Nikolas MatinpaloSenators (RDS)D261998-10-05FINYes211 Lbs6 ft3YesNoFree AgentNoNo12025-05-04FalseFalsePro & Farm750,800$449,459$0$0$No---------------------------
Tanner PearsonSenators (RDS)LW321992-08-10CANNo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,299,999$1,376,870$0$0$No---------------------------Lien
Trent FredericSenators (RDS)C271998-02-11USANo210 Lbs6 ft3NoNoFree AgentNoNo22025-04-11FalseFalsePro & Farm2,300,000$1,376,871$0$0$No2,300,000$--------2,300,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1128.45196 Lbs6 ft01.361,202,345$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Bolt11000000532110000005320000000000021.00051015002343470281952062891235883266.67%4175.00%014337038.65%17351433.66%24567636.24%532290744303525226
2Brawlers505000002337-1420200000814-6303000001523-800.000234467002343470136195206289116246387114535.71%19952.63%014337038.65%17351433.66%24567636.24%532290744303525226
3Destroyers30300000521-1610100000110-920200000411-700.000510150023434706119520628911444614456233.33%7528.57%014337038.65%17351433.66%24567636.24%532290744303525226
4Dynamos30300000823-1520200000417-131010000046-200.0008132110234347062195206289110726244910110.00%12118.33%214337038.65%17351433.66%24567636.24%532290744303525226
5Extreme11000000651000000000001100000065121.000611170023434702019520628912028153266.67%440.00%014337038.65%17351433.66%24567636.24%532290744303525226
6Intrepides1010000019-81010000019-80000000000000.00012300234347091952062891361012122150.00%6433.33%014337038.65%17351433.66%24567636.24%532290744303525226
7L'Euphorie1010000019-8000000000001010000019-800.00012300234347027195206289152191211100.00%660.00%014337038.65%17351433.66%24567636.24%532290744303525226
8Les Restants11000000752110000007520000000000021.000713200023434702519520628912590224250.00%000%014337038.65%17351433.66%24567636.24%532290744303525226
9Monster1000010067-1000000000001000010067-110.500612180023434703119520628912366135240.00%3233.33%014337038.65%17351433.66%24567636.24%532290744303525226
10Monsters20100100712-51010000026-41000010056-110.250713200023434704219520628918822827300.00%4325.00%014337038.65%17351433.66%24567636.24%532290744303525226
11National30300000728-2120200000621-151010000017-600.0007142100234347064195206289114459323633100.00%17947.06%014337038.65%17351433.66%24567636.24%532290744303525226
12Patriotes20200000717-101010000027-510100000510-500.0007142100234347044195206289176152224500.00%11827.27%014337038.65%17351433.66%24567636.24%532290744303525226
13Prospects1010000037-4000000000001010000037-400.0003580023434702019520628911668163133.33%4250.00%114337038.65%17351433.66%24567636.24%532290744303525226
14Sharks1010000057-2000000000001010000057-200.0005101500234347023195206289140108173266.67%4250.00%014337038.65%17351433.66%24567636.24%532290744303525226
15Vikings211000001014-4211000001014-40000000000020.500101828002343470581952062891952915247228.57%5420.00%014337038.65%17351433.66%24567636.24%532290744303525226
16Warriors1010000057-2000000000001010000057-200.000591400234347019195206289130141017100.00%5260.00%014337038.65%17351433.66%24567636.24%532290744303525226
17Wildcats11000000743110000007430000000000021.000714210023434702219520628912298102150.00%440.00%014337038.65%17351433.66%24567636.24%532290744303525226
Total3052300200113215-102154110000053110-57151120020060105-45120.20011321432710234347069119520628911103333233417752634.67%1157633.91%314337038.65%17351433.66%24567636.24%532290744303525226
_Since Last GM Reset3052300200113215-102154110000053110-57151120020060105-45120.20011321432710234347069119520628911103333233417752634.67%1157633.91%314337038.65%17351433.66%24567636.24%532290744303525226
_Vs Conference192160010072136-641028000003473-39908001003863-2550.132721342061023434704471952062891727207131279501224.00%634233.33%214337038.65%17351433.66%24567636.24%532290744303525226
_Vs Division8014001003556-21407000001426-12407001002130-910.063356810300234347020419520628912446764104241041.67%321650.00%014337038.65%17351433.66%24567636.24%532290744303525226

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3012W1113214327691110333323341710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
305230200113215
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
15411000053110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
15112020060105
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
752634.67%1157633.91%3
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
19520628912343470
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
14337038.65%17351433.66%24567636.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
532290744303525226


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
11Senators5Monsters6LXSommaire du match
213Senators6Brawlers8LSommaire du match
425Monsters6Senators2LSommaire du match
644Dynamos9Senators0LSommaire du match
853Patriotes7Senators2LSommaire du match
1172Senators3Prospects7LSommaire du match
1280Vikings10Senators3LSommaire du match
1485Senators4Brawlers7LSommaire du match
1698Senators5Patriotes10LSommaire du match
18114Brawlers10Senators6LSommaire du match
20122Senators5Warriors7LSommaire du match
22136Destroyers10Senators1LSommaire du match
24148Bolt3Senators5WSommaire du match
26161Senators2Destroyers3LSommaire du match
28172Senators4Dynamos6LSommaire du match
30181National9Senators4LSommaire du match
33204Senators6Monster7LXSommaire du match
34212Senators5Sharks7LSommaire du match
36217Les Restants5Senators7WSommaire du match
38237Brawlers4Senators2LSommaire du match
40250Dynamos8Senators4LSommaire du match
42257Senators5Brawlers8LSommaire du match
44266Senators6Extreme5WSommaire du match
46284National12Senators2LSommaire du match
48291Senators1L'Euphorie9LSommaire du match
50304Vikings4Senators7WSommaire du match
52319Senators2Destroyers8LSommaire du match
54330Intrepides9Senators1LSommaire du match
56348Senators1National7LSommaire du match
58354Wildcats4Senators7WSommaire du match
62373Distraction-Senators-
63386Prospects-Senators-
65396Senators-Falcons-
67411Patriotes-Senators-
69426Senators-Prospects-
70434Shokers-Senators-
72446Senators-Dynamos-
74459Dynamos-Senators-
76474Distraction-Senators-
78486Senators-Patriotes-
80499Senators-Les Restants-
81507National-Senators-
83522Senators-Guerriers du Nord-
84532Bolt-Senators-
86545Senators-Patriotes-
87557Senators-Brawlers-
89561Senators-Monsters-
90571Destroyers-Senators-
92587Monsters-Senators-
93599Senators-Destroyers-
95609Wildcats-Senators-
97624Senators-Extreme-
99634Warriors-Senators-
100649Senators-Monkeys -
101658Brawlers-Senators-
102670Senators-Destroyers-
104681Destroyers-Senators-
106693Senators-Falcons-
107703Senators-Vikings-
109715Falcons-Senators-
111729Bolt-Senators-
112742Senators-Sharks-
114752Patriotes-Senators-
116772Senators-Monsters-
117780Les Restants-Senators-
119795Guerriers du Nord-Senators-
120802Senators-Prospects-
121812Senators-Patriotes-
123825Vikings-Senators-
125845Monsters-Senators-
126851Senators-L'Euphorie-
128867Monster-Senators-
129874Senators-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
130882Senators-Monkeys -
132897Guerriers du Nord-Senators-
134909Senators-Warriors-
135919Monkeys -Senators-
136928Senators-Dynamos-
137933Senators-Warriors-
140953Youngblood-Senators-
142964Senators-Monsters-
145979Monsters-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
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
835,901$ 1,322,580$ 1,322,580$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 534,883$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 88 14,099$ 1,240,712$




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
1Philipp Kurashev271210306516-2361299277125516.73%121494818.2676132208142101719665.15%132.0925
2Trevor Moore139158207365696517216377720.33%106291120.9546781248456111913555.67%162.5136
3Matt Nieto171172171343-153422517383120.70%117355820.817569144128123616263.91%191.9326
4Filip Zadina243130213343-364125516086315.06%115418717.23496611593202815463.10%81.6414
5Gabriel Vilardi10084161245272011517746917.91%63219621.96386210066235136271.57%62.2313

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
1Oscar Dansk2519220.9152.8114090166772436001.0003
2Chris Driedger2216300.9072.91117501576113271000
3Laurent Brossoit11000.9412.006000234170000

Senators Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
202082344006110474482-841162202100237260-234118180401023722215834748361310208819718282616821921867112876974682112626514253.58%28513951.23%12663126752.33%693140149.46%991190052.16%1718103618667231348649
202182195104800363544-1814192503400200272-7241102601400163272-109543636821045106813815341953486689765132805878690116124110141.91%33820439.64%16459103944.18%498130838.07%758192439.40%152684819918051418631
202282343508500523524-1412017031002702511941141805400253273-20895239131436001101942118305196510271043162720900669121624214660.33%29116443.64%9708130954.09%623121051.49%1024193752.87%1839113717356841365692
202382235202500331474-14341112302500170227-5741122900000161247-86553316259560039140150218874306867665265190457611652469538.62%28615446.15%20525110847.38%539129941.49%762178242.76%154083819718041418650
20243052300200113215-102154110000053110-57151120020060105-451211321432710234347069119520628911103333233417752634.67%1157633.91%314337038.65%17351433.66%24567636.24%532290744303525226
Total Saison régulière358115201020211018042239-435179609801011009301120-1901795510301010108741119-2452931804327050744032871274322101982897352937304612155398928505085106951047.71%131573743.95%602498509349.05%2526573244.07%3780821945.99%715741518308332160762849
Séries éliminatoires
2020404000001626-1020200000813-520200000813-50163147006730123395628012933246414214.29%12558.33%0336253.23%255942.37%409044.44%915584346532
2022514000003137-6202000001315-2312000001822-42315990008167015044634301978852479555.56%261926.92%1154831.25%2210022.00%2611422.81%7748134538828
Total Séries éliminatoires918000004763-16404000002128-7514000002635-924790137001423100273831197103261217611123730.43%382436.84%14811043.64%4715929.56%6620432.35%1681032188715461

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
1Philipp Kurashev20293766-84363112323.58%1446823.441613292412343063.84%42.8200
2Filip Zadina20163248-619191310215.69%738419.22814221400002154.17%12.5000
3Janne Kuokkanen24211839-212181212317.07%1542317.64710171511260160.71%01.8400
4Sean Durzi1422527492417365.56%1936426.0611617130112000%01.4800
5Cody Eakin20101626-5222268312.05%1037718.895510700012069.44%01.3800

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
1Oscar Dansk42200.9084.272390017184980000