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Senators
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jonathan Belzile Mayruk | Morale : 50 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJonathan Belzile Mayruk
DivisionNord
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure22
Limite contact 43 / 250
Espoirs55


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique324-213-38 (0.563%)
Apparitions en séries éliminatoires 5
Historique en séries éliminatoires (W-L)44-30
Coupe Stanley1


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Ryan DonatoX100.00643887737184906967706861726768050670241750,000$
2Yegor Chinakhov (R)X100.006536927075818669566468577162630506501921,325,000$
3Kyle RauX100.00673883656685826372646568627069050640271750,000$
4Cody McLeodX100.00728560578174865652575859537883050620361650,000$
5Joseph BlandisiX100.00624169637179746170636260636870050620261700,000$
6Rourke ChartierX100.00623693647291676368625962646668050620242750,000$
7Michael ChaputX100.00723982608174835977605664587072050620281750,000$
8Graham KnottX100.00743990588373895760565859576567050610231700,000$
9Greg Meireles (R)X100.00573788616677796366645558626365050610211650,000$
10Graeme ClarkeX100.00583884576783815861596056596163050600193925,000$
11Alex Beaucage (R)X100.00673982587681685554565558596163050590193925,000$
12Luka BurzanX100.00623688547163625358515250536264050560201650,000$
13Sebastien AhoX100.00623485756986777030736360546566050660241725,000$
14Dylan CoghlanX100.00653693668286856530706259546365050650222762,500$
15Markus NiemelainenX100.00854588629079775930605766506466050630221925,000$
16Ronnie Attard (R)X100.006837706284876861306263655462630506202121,350,000$
17Jack DoughertyX100.00613894598061685630545254456668050590241650,000$
18Cole MobergX100.00723986558170655230575356466264050580191650,000$
Rayé
MOYENNE D’ÉQUIPE100.0066418462767977615261596058656705062
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
1Spencer Martin100.0076787782757476757476756777050650251800,000$
2Cory Schneider100.00747172827372747372747381900506403416,000,000$
3Arturs Silovs100.0068666786676668676668676165050600193796,111$
Rayé
MOYENNE D’ÉQUIPE100.007372728372717372717372707705063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond 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
Alex BeaucageSenators (OTT)RW192001-07-25Yes192 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Arturs SilovsSenators (OTT)G192001-03-22No203 Lbs6 ft4NoNoNo3Pro & Farm796,111$0$0$No796,111$796,111$Lien / Lien NHL
Cody McLeodSenators (OTT)LW361984-06-26No204 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Cole MobergSenators (OTT)D192000-10-17No187 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Cory SchneiderSenators (OTT)G341986-03-18No210 Lbs6 ft2NoNoNo1Pro & Farm6,000,000$0$0$NoLien / Lien NHL
Dylan CoghlanSenators (OTT)D221998-02-19No208 Lbs6 ft2NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien / Lien NHL
Graeme ClarkeSenators (OTT)RW192001-04-24No175 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Graham KnottSenators (OTT)LW231997-01-13No199 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Greg MeirelesSenators (OTT)RW211999-01-01Yes180 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Jack DoughertySenators (OTT)D241996-05-25No196 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Joseph BlandisiSenators (OTT)C261994-07-18No184 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Kyle RauSenators (OTT)C271992-10-24No171 Lbs5 ft9NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Luka BurzanSenators (OTT)LW202000-01-07No184 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Markus NiemelainenSenators (OTT)D221998-06-08No190 Lbs6 ft6NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Michael ChaputSenators (OTT)C281992-04-09No199 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Ronnie AttardSenators (OTT)D211999-03-20Yes208 Lbs6 ft3NoNoNo2Pro & Farm1,350,000$0$0$No1,350,000$Lien NHL
Rourke ChartierSenators (OTT)C241996-04-03No190 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Ryan DonatoSenators (OTT)C241996-04-09No192 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Sebastien AhoSenators (OTT)D241996-02-17No184 Lbs5 ft11NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Spencer MartinSenators (OTT)G251995-06-08No191 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Yegor ChinakhovSenators (OTT)RW192001-02-01Yes189 Lbs6 ft1NoNoNo2Pro & Farm1,325,000$0$0$No1,325,000$Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2123.62192 Lbs6 ft11.481,056,362$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cody McLeodRyan DonatoYegor Chinakhov40122
2Graham KnottKyle RauGreg Meireles30122
3Luka BurzanJoseph BlandisiGraeme Clarke20122
4Cody McLeodRourke ChartierAlex Beaucage10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastien AhoDylan Coghlan40122
2Markus NiemelainenRonnie Attard30122
3Jack DoughertyCole Moberg20122
4Sebastien AhoDylan Coghlan10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cody McLeodRyan DonatoYegor Chinakhov60122
2Graham KnottKyle RauGreg Meireles40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastien AhoDylan Coghlan60122
2Markus NiemelainenRonnie Attard40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan DonatoCody McLeod60122
2Kyle RauGraham Knott40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastien AhoDylan Coghlan60122
2Markus NiemelainenRonnie Attard40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Donato60122Sebastien AhoDylan Coghlan60122
2Kyle Rau40122Markus NiemelainenRonnie Attard40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan DonatoCody McLeod60122
2Kyle RauGraham Knott40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastien AhoDylan Coghlan60122
2Markus NiemelainenRonnie Attard40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cody McLeodRyan DonatoYegor ChinakhovSebastien AhoDylan Coghlan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cody McLeodRyan DonatoYegor ChinakhovSebastien AhoDylan Coghlan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joseph Blandisi, Rourke Chartier, Michael ChaputJoseph Blandisi, Rourke ChartierJoseph Blandisi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ronnie Attard, Jack Dougherty, Cole MobergRonnie AttardRonnie Attard, Jack Dougherty
Tirs de pénalité
Ryan Donato, Yegor Chinakhov, Kyle Rau, Cody McLeod, Joseph Blandisi
Gardien
#1 : Spencer Martin, #2 : Cory Schneider, #3 : Arturs Silovs


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,218,361$ 600,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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
4824520011782661897741221100152131894241239010261351003511526648274819010295613004096810559372226716150519866158814.31%6039085.07%101837335354.79%1646293956.01%713126056.59%2121143818226501059542
5825421020413181721464129801021169779241251301020149955412131856087801301141138532120101710681110219164858020832214520.36%2604283.85%21864305161.09%1543259159.55%743128557.82%2222162717145441009530
6825414042443971991984130502112197801174124902132200119811303977181115010016612010341910135913611427238064852319892766122.10%2414382.16%22250352763.79%1518254659.62%827135760.94%240518051586528987528
782333302527297291641131802215133150-174120150031216414123862974857824101229774355001153117311804140122741720921873317.65%1853879.46%11461309047.28%1656389842.48%661137648.04%175012512270570960449
88287300100239644-4054153600000123308-1854133700100116336-220172394026410001247045306601032101010245769162025418471491610.74%1094459.63%0906245236.95%1101332333.13%534156834.06%12558642764562900365
982532000243390243147412215002201861335341315000232041109411939068610762301721189637970118012641340297989347219392165525.46%1944079.38%31782337352.83%1502300649.97%696138850.14%2073150818805551010512
108243320301333827761412512020021971326541182001011141145-49733858892612136109895354611741202114538295588935319341924523.44%1573180.25%11745317155.03%1529285053.65%721136252.94%2009145119345571002501
Total Saison régulière574290213012112226224520152302871461050761112113696916728714410805511141109104663685224539216166838136909702469243661174791180767056226406641410413870185634318.48%174932881.25%19118452201753.80%104952115349.61%4895959651.01%13837994713973397169303430
Séries éliminatoires
4514000001014-43120000068-22020000046-2210192900033416805449471734810512846510.87%38392.11%010720851.44%10621649.07%387451.35%13288129467036
523167000007259131293000004131101174000003128332721261980102826167400235270222685202177552991212.12%821482.93%242582051.83%44683253.61%16435745.94%570395539180299149
61385000003942-37520000020200633000001922-3163968107000121412497016917415040111484325461021.74%40782.50%031354957.01%24644555.28%11619958.29%3372392839216182
91266000004841764200000291910624000001922-31248781261008211853401781631824831274825229517.24%23578.26%027749456.07%26748954.60%10220649.51%2942142878314874
102113800000808001064000003535011740000045450268014722710331922687627826425579813278112587521121.15%491079.59%050490355.81%42174956.21%21437557.07%547385523152284144
Total Séries éliminatoires7444300000024923613382513000001311131836191700000118123-58824943868721337086562815278900911680255576952618442724315.81%2323983.19%21626297454.67%1486273154.41%634121152.35%188313221763554964487