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Connexion

Senators
GP: 82 | W: 46 | L: 32 | OTL: 4 | P: 96
GF: 189 | GA: 174 | PP%: 18.67% | PK%: 87.46%
DG: Olivier Paquin | Morale : 50 | Moyenne d’équipe : 61
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Centre de jeu
Senators
46-32-4, 96pts
1
FINAL
4 Wolf Pack
44-31-7, 95pts
Team Stats
W1SéquenceW2
21-16-4Fiche domicile23-15-3
25-16-0Fiche domicile21-16-4
7-3-0Derniers 10 matchs6-3-1
2.30Buts par match 2.65
2.12Buts contre par match 2.20
18.67%Pourcentage en avantage numérique15.36%
87.46%Pourcentage en désavantage numérique86.27%
Senators
46-32-4, 96pts
2
FINAL
1 Bruins
47-25-10, 104pts
Team Stats
W1SéquenceL1
21-16-4Fiche domicile28-8-5
25-16-0Fiche domicile19-17-5
7-3-0Derniers 10 matchs5-4-1
2.30Buts par match 2.12
2.12Buts contre par match 1.60
18.67%Pourcentage en avantage numérique15.27%
87.46%Pourcentage en désavantage numérique88.19%
Meneurs d'équipe
Buts
Kent Johnson
27
Passes
Quinton Byfield
39
Points
Kent Johnson
63
Plus/Moins
Quinton Byfield
30
Victoires
Kevin Mandolese
26
Pourcentage d’arrêts
Kevin Mandolese
0.886

Statistiques d’équipe
Buts pour
189
2.30 GFG
Tirs pour
1586
19.34 Avg
Pourcentage en avantage numérique
18.7%
42 GF
Début de zone offensive
40.6%
Buts contre
174
2.12 GAA
Tirs contre
1414
17.24 Avg
Pourcentage en désavantage numérique
87.5%%
37 GA
Début de la zone défensive
36.2%
Informations de l'équipe

Directeur généralOlivier Paquin
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,943
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 50
Espoirs13


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
1Kent Johnson (R)XX100.00644484797278747853747264765650050700193925,000$
2Quinton Byfield (R)XX100.00675069729184737471736468705952050690201925,000$
3Jaret Anderson-DolanXXX100.00694679747676747056646666706457050670232900,000$
4Jonah GadjovichXX100.0082815772867771694063626668595205066N0231620,000$
5Vitaly Kravtsov (R)XX100.00664080717676716840636365685752050650222925,000$
6Isaac RatcliffeX100.00624860606864636142605453585250050580231780,833$
7Alex Beaucage (R)X100.00635263666560586141565357605050050580213878,333$
8Kristian ReichelX100.00565167665964646141585353605350050580242900,000$
9Henri Nikkanen (R)X100.0062406961666162595157545758505005058N0211620,000$
10Lukas Svejkovsky (R)X100.0055407066576060604158545360505005057N0203620,000$
11Casey FitzgeraldX100.00685176757783676840646071675650050680252800,000$
12Tim Berni (R)X100.0070527073768070684061596767535005067N0221620,000$
13Nick DeSimoneX100.00644467716268686640655770645751050650272600,000$
14Mark PysykX100.005843726568757664405955686185720506503011,700,000$
15Akito Hirose (R)X100.0057407171708060654062606566515005064N0233900,000$
16Isaak Phillips (R)X100.0065485970666159634061576864505005062N0211620,000$
17Luke Martin (R)X100.00664069626861605940565466595150050610241700,000$
18Zach Uens (R)X100.00594465686358565440515160575050050580213859,167$
Rayé
1Daniel D'Amato (R)XXX100.0056406966585959574054535458505005056N0211620,000$
2German RubtsovX100.00726797676743434559414261424444050530241600,000$
3Declan McDonnell (R)XXX100.0066688561685153435840385839444405051N0201620,000$
MOYENNE D’ÉQUIPE100.0064497168696864634559566262545105062
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
1Kevin Mandolese (R)100.0065585566636364626461555050050580222835,000$
2Jaxson Stauber (R)100.006861586262626461636257515005058N0234900,000$
Rayé
1Joe Vrbetic (R)100.0061575766615959556159535050050550193560,000$
MOYENNE D’ÉQUIPE100.006559576562616259636155505005057
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
1Kent JohnsonSenators (Ott)C/LW8227366328280602342417015811.20%12194023.6737102217810182717054.19%222200000.65511000593
2Quinton ByfieldSenators (Ott)C/LW8219395830415155135195441469.74%16189823.1529112118700062933168.79%14100000.61411100875
3Jonah GadjovichSenators (Ott)LW/RW82242246-59952531261984413612.12%2163919.99710173018000041304251.22%8200010.5601001735
4Jaret Anderson-DolanSenators (Ott)C/LW/RW8222173922440103871734811112.72%13161919.746172518600061746358.37%23300000.4848000367
5Vitaly KravtsovSenators (Ott)LW/RW82162238-510032133171461259.36%10148218.07851324180000044161.11%7200000.5101000244
6Tim BerniSenators (Ott)D8283038982101556369255711.59%55181122.093912311930003237100%000000.4200101142
7Casey FitzgeraldSenators (Ott)D82532379420128838227736.10%65183922.4359144019400022530025.00%400000.4000000134
8Mark PysykSenators (Ott)D828233153801076261243013.11%64154418.835712351810111221200%100000.4000000221
9Akito HiroseSenators (Ott)D8272027-6260716347173114.89%40129915.85279181030000121300%000000.4200000301
10Nick DeSimoneSenators (Ott)D824212553401048933113212.12%45121514.8215613850001103010%000000.4100000014
11Kristian ReichelSenators (Ott)RW8213720-17295576971225918.31%5128115.63000013000002143.04%54600000.3100001212
12Isaac RatcliffeSenators (Ott)LW8261016-24420116536417529.38%6130815.960220240002801245.95%11100000.2400000112
13Isaak PhillipsSenators (Ott)D8221214-538012235262197.69%35102712.5300007000070200%000000.2700000011
14Henri NikkanenSenators (Ott)C825914-580277346124510.87%4147417.9805591700000161251.30%131000000.1900000201
15Alex BeaucageSenators (Ott)RW828311-3335633350113316.00%382710.09000016000002148.21%5600000.2700001111
16Luke MartinSenators (Ott)D82358-33806326124625.00%246367.7600001000034000%000000.2500000001
17Zach UensSenators (Ott)D82268-31403819147514.29%285997.320000000000000%000000.2700000001
18Lukas SvejkovskySenators (Ott)C41145-101401949268163.85%255613.5700000000000042.82%40400000.1800000000
Statistiques d’équipe totales ou en moyenne14351803184982266030167314321579439113411.40%4292400116.7342761182681904112332016381451.76%518200010.411332204384345
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
1Kevin MandoleseSenators (Ott)49261630.8861.95280704917990200.875244537301
2Jaxson StauberSenators (Ott)38201610.8712.20215925796140010.75083745022
Statistiques d’équipe totales ou en moyenne87463240.8802.054967291701413021328282323


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen 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 10Lien
Akito Hirose (contrat à 1 volet)Senators (Ott)D231999-04-09Yes170 Lbs6 ft0YesNoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Alex BeaucageSenators (Ott)RW212001-07-25Yes192 Lbs6 ft1NoNoNoNo3Pro & Farm878,333$0$0$No878,333$878,333$Lien
Casey FitzgeraldSenators (Ott)D251997-02-25No188 Lbs5 ft11NoNoYesYes2Pro & Farm800,000$0$0$No800,000$Lien
Daniel D'Amato (contrat à 1 volet)Senators (Ott)C/LW/RW212001-04-08Yes161 Lbs6 ft1YesNoNoNo1Pro & Farm620,000$0$0$NoLien
Declan McDonnell (contrat à 1 volet)Senators (Ott)C/LW/RW202002-02-25Yes190 Lbs5 ft10YesNoNoNo1Pro & Farm620,000$0$0$NoLien
German RubtsovSenators (Ott)C241998-06-27No178 Lbs6 ft2NoNoYesYes1Pro & Farm600,000$0$0$NoLien
Henri Nikkanen (contrat à 1 volet)Senators (Ott)C212001-04-28Yes201 Lbs6 ft4YesNoNoNo1Pro & Farm620,000$0$0$NoLien
Isaac RatcliffeSenators (Ott)LW231999-02-15No201 Lbs6 ft6NoNoNoNo1Pro & Farm780,833$0$0$NoLien
Isaak Phillips (contrat à 1 volet)Senators (Ott)D212001-09-28Yes194 Lbs6 ft3YesNoNoNo1Pro & Farm620,000$0$0$NoLien
Jaret Anderson-DolanSenators (Ott)C/LW/RW231999-09-12No200 Lbs5 ft11NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Jaxson Stauber (contrat à 1 volet)Senators (Ott)G231999-04-27Yes174 Lbs6 ft3YesNoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Joe VrbeticSenators (Ott)G192002-10-24Yes190 Lbs6 ft6NoNoNoNo3Pro & Farm560,000$0$0$No560,000$560,000$
Jonah Gadjovich (contrat à 1 volet)Senators (Ott)LW/RW231998-10-12No209 Lbs6 ft2YesNoNoNo1Pro & Farm620,000$0$0$NoLien
Kent JohnsonSenators (Ott)C/LW192002-10-18Yes175 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Kevin MandoleseSenators (Ott)G222000-08-22Yes181 Lbs6 ft4NoNoNoNo2Pro & Farm835,000$0$0$No835,000$Lien
Kristian ReichelSenators (Ott)RW241998-06-11No168 Lbs6 ft0NoNoYesYes2Pro & Farm900,000$0$0$No900,000$Lien
Lukas Svejkovsky (contrat à 1 volet)Senators (Ott)C202001-11-23Yes165 Lbs5 ft10YesNoNoNo3Pro & Farm620,000$0$0$No620,000$620,000$Lien
Luke MartinSenators (Ott)D241998-09-20Yes216 Lbs6 ft3NoNoYesYes1Pro & Farm700,000$0$0$NoLien
Mark Pysyk (contrat à 1 volet)Senators (Ott)D301992-01-11No198 Lbs6 ft1NoNoYesYes1Pro & Farm1,700,000$800,000$0$NoLien
Nick DeSimone (contrat à 1 volet)Senators (Ott)D271994-11-21No185 Lbs6 ft2NoNoYesYes2Pro & Farm600,000$0$0$No600,000$Lien
Quinton ByfieldSenators (Ott)C/LW202002-08-19Yes220 Lbs6 ft5NoNoNoNo1Pro & Farm925,000$0$0$NoLien
Tim Berni (contrat à 1 volet)Senators (Ott)D222000-02-11Yes192 Lbs6 ft0YesNoNoNo1Pro & Farm620,000$0$0$NoLien
Vitaly KravtsovSenators (Ott)LW/RW221999-12-23Yes186 Lbs6 ft3NoNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Zach UensSenators (Ott)D212001-05-13Yes181 Lbs6 ft1NoNoNoNo3Pro & Farm859,167$0$0$No859,167$859,167$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2422.42188 Lbs6 ft21.88792,847$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Quinton ByfieldKent JohnsonJaret Anderson-Dolan40122
2Jonah GadjovichHenri NikkanenVitaly Kravtsov30122
3Isaac RatcliffeLukas SvejkovskyKristian Reichel20122
4Quinton ByfieldKent JohnsonAlex Beaucage10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldTim Berni40122
2Mark PysykNick DeSimone30122
3Akito HiroseIsaak Phillips20122
4Luke MartinZach Uens10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Quinton ByfieldKent JohnsonJaret Anderson-Dolan60122
2Jonah GadjovichHenri NikkanenVitaly Kravtsov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldTim Berni60122
2Mark PysykNick DeSimone40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kent JohnsonQuinton Byfield60122
2Jaret Anderson-DolanJonah Gadjovich40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldTim Berni60122
2Mark PysykNick DeSimone40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kent Johnson60122Casey FitzgeraldTim Berni60122
2Quinton Byfield40122Mark PysykNick DeSimone40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kent JohnsonQuinton Byfield60122
2Jaret Anderson-DolanJonah Gadjovich40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldTim Berni60122
2Mark PysykNick DeSimone40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Quinton ByfieldKent JohnsonJaret Anderson-DolanCasey FitzgeraldTim Berni
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Quinton ByfieldKent JohnsonJaret Anderson-DolanCasey FitzgeraldTim Berni
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kristian Reichel, Alex Beaucage, Isaac RatcliffeKristian Reichel, Alex BeaucageIsaac Ratcliffe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Akito Hirose, Isaak Phillips, Luke MartinAkito HiroseIsaak Phillips, Luke Martin
Tirs de pénalité
Kent Johnson, Quinton Byfield, Jaret Anderson-Dolan, Jonah Gadjovich, Vitaly Kravtsov
Gardien
#1 : Jaxson Stauber, #2 : Kevin Mandolese


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
1Admirals210000014401000000123-11100000021130.75047110082514813375465284984646131647100.00%7185.71%01102212551.86%960189550.66%640121452.72%2139152517925621043540
2Baby Hawks211000006511010000023-11100000042220.500611170082514813565465284984628619379222.22%6183.33%01102212551.86%960189550.66%640121452.72%2139152517925621043540
3Bears3120000048-41010000012-12110000036-320.333461000825148135654652849846491132624125.00%16475.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
4Bruins3120000046-21010000012-12110000034-120.333471110825148135454652849846471635561317.69%15380.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
5Cabaret Lady Mary Ann431000001055220000004132110000064260.7501019290282514813100546528498464419206919421.05%9188.89%01102212551.86%960189550.66%640121452.72%2139152517925621043540
6Caroline3110000157-22010000147-31100000010130.500571201825148134754652849846541330766116.67%140100.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
7Chiefs21100000321110000002021010000012-120.5003470182514813285465284984636132328400.00%8275.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
8Chill22000000514110000002111100000030341.00051015018251481333546528498463061227300.00%60100.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
9Comets201000104401010000023-11000001021120.50046100082514813345465284984636814508112.50%70100.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
10Cougars4310000016124211000009902200000073460.750162945018251481375546528498467523167015640.00%70100.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
11Crunch42100010954210000105322110000042260.7509152400825148139954652849846682136851218.33%17288.24%01102212551.86%960189550.66%640121452.72%2139152517925621043540
12Heat21100000550110000005231010000003-320.5005712008251481354546528498463991443200.00%7185.71%11102212551.86%960189550.66%640121452.72%2139152517925621043540
13Jayhawks220000001239110000004131100000082641.0001222340082514813675465284984638164555120.00%10100.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
14Las Vegas22000000523110000003121100000021141.000510150082514813285465284984614510445120.00%40100.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
15Manchots30200100410-62010010036-31010000014-310.167471100825148135854652849846531734577114.29%15193.33%01102212551.86%960189550.66%640121452.72%2139152517925621043540
16Marlies40300010913-42020000046-22010001057-220.2509152400825148137854652849846822646819111.11%22290.91%01102212551.86%960189550.66%640121452.72%2139152517925621043540
17Minnesota22000000835110000003121100000052341.00081321008251481345546528498463291846300.00%90100.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
18Monarchs211000004401010000024-21100000020220.50047110182514813435465284984623910307114.29%40100.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
19Monsters3110001057-21010000004-42100001053240.667561100825148133654652849846551238557342.86%17288.24%01102212551.86%960189550.66%640121452.72%2139152517925621043540
20Monsters21100000431110000003121010000012-120.500461000825148133354652849846291210467342.86%5180.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
21Oceanics2020000026-41010000013-21010000013-200.0002350082514813335465284984631814399111.11%7357.14%01102212551.86%960189550.66%640121452.72%2139152517925621043540
22Oil Kings2020000039-61010000014-31010000025-300.0003470082514813365465284984642161052400.00%40100.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
23Phantoms33000000936110000002112200000072561.00091524008251481360546528498463782358800.00%9188.89%01102212551.86%960189550.66%640121452.72%2139152517925621043540
24Rocket32000010853210000105321100000032161.00081422008251481365546528498464714224910220.00%10280.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
25Sags21100000330110000001011010000023-120.50036901825148133254652849846491416407114.29%7185.71%01102212551.86%960189550.66%640121452.72%2139152517925621043540
26Seattle211000004311010000013-21100000030320.500471101825148133454652849846371614346116.67%7185.71%01102212551.86%960189550.66%640121452.72%2139152517925621043540
27Sound Tigers3010001168-21000000123-12010001045-130.500671300825148133154652849846469226410110.00%10280.00%01102212551.86%960189550.66%640121452.72%2139152517925621043540
28Spiders3020001047-3201000104401010000003-320.33345900825148134554652849846682931546116.67%13284.62%01102212551.86%960189550.66%640121452.72%2139152517925621043540
29Stars2020000047-31010000013-21010000034-100.000481200825148133254652849846481520484125.00%9277.78%01102212551.86%960189550.66%640121452.72%2139152517925621043540
30Thunder430000101587220000008352100001075281.000152843008251481397546528498467320381289444.44%17194.12%01102212551.86%960189550.66%640121452.72%2139152517925621043540
31Wolf Pack3210000056-1220000004221010000014-340.667591400825148136054652849846581617626233.33%6183.33%01102212551.86%960189550.66%640121452.72%2139152517925621043540
Total8238320018318917415411816001339189241201600050988513960.5851893205091982514813158654652849846141442966416922254218.67%2953787.46%11102212551.86%960189550.66%640121452.72%2139152517925621043540
_Since Last GM Reset8238320018318917415411816001339189241201600050988513960.5851893205091982514813158654652849846141442966416922254218.67%2953787.46%11102212551.86%960189550.66%640121452.72%2139152517925621043540
_Vs Conference421618001528394-112079001123744-72299000404650-4450.536831382211382514813753546528498467472143848601061816.98%1712485.96%01102212551.86%960189550.66%640121452.72%2139152517925621043540

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8296W118932050915861414429664169219
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8238320183189174
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41181601339189
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41201600509885
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2254218.67%2953787.46%1
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
5465284984682514813
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
1102212551.86%960189550.66%640121452.72%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2139152517925621043540


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
2 - 2023-10-114Senators1Caroline0AWSommaire du match
5 - 2023-10-1419Phantoms1Senators2BWSommaire du match
6 - 2023-10-1533Thunder1Senators3BWSommaire du match
9 - 2023-10-1849Bears2Senators1BLSommaire du match
12 - 2023-10-2165Cougars6Senators5BLSommaire du match
15 - 2023-10-2485Crunch2Senators3BWSommaire du match
17 - 2023-10-26107Senators2Sound Tigers1AWXXSommaire du match
19 - 2023-10-28123Senators1Manchots4ALSommaire du match
24 - 2023-11-02149Monarchs4Senators2BLSommaire du match
26 - 2023-11-04163Thunder2Senators5BWSommaire du match
30 - 2023-11-08190Senators4Marlies3AWXXSommaire du match
31 - 2023-11-09197Comets3Senators2BLSommaire du match
33 - 2023-11-11213Heat2Senators5BWSommaire du match
38 - 2023-11-16242Cougars3Senators4BWSommaire du match
40 - 2023-11-18254Minnesota1Senators3BWSommaire du match
46 - 2023-11-24302Sound Tigers3Senators2BLXXSommaire du match
49 - 2023-11-27323Cabaret Lady Mary Ann1Senators3BWSommaire du match
53 - 2023-12-01354Senators2Monsters1AWXXSommaire du match
54 - 2023-12-02362Seattle3Senators1BLSommaire du match
57 - 2023-12-05382Wolf Pack1Senators2BWSommaire du match
59 - 2023-12-07395Marlies3Senators2BLSommaire du match
61 - 2023-12-09412Senators3Cougars0AWSommaire du match
64 - 2023-12-12433Caroline4Senators3BLXXSommaire du match
66 - 2023-12-14451Senators1Chiefs2ALSommaire du match
67 - 2023-12-15458Senators3Stars4ALSommaire du match
69 - 2023-12-17477Senators2Las Vegas1AWSommaire du match
71 - 2023-12-19493Senators8Jayhawks2AWSommaire du match
73 - 2023-12-21507Senators1Monsters2ALSommaire du match
75 - 2023-12-23520Manchots3Senators2BLXSommaire du match
79 - 2023-12-27531Senators1Marlies4ALSommaire du match
81 - 2023-12-29549Spiders2Senators1BLSommaire du match
83 - 2023-12-31566Crunch1Senators2BWXXSommaire du match
85 - 2024-01-02584Senators2Comets1AWXXSommaire du match
87 - 2024-01-04598Senators3Seattle0AWSommaire du match
89 - 2024-01-06616Senators2Oil Kings5ALSommaire du match
92 - 2024-01-09634Senators0Heat3ALSommaire du match
94 - 2024-01-11638Senators4Crunch1AWSommaire du match
96 - 2024-01-13655Sags0Senators1BWSommaire du match
99 - 2024-01-16682Monsters1Senators3BWSommaire du match
101 - 2024-01-18693Rocket1Senators2BWXXSommaire du match
103 - 2024-01-20709Oceanics3Senators1BLSommaire du match
104 - 2024-01-21718Senators3Phantoms1AWSommaire du match
106 - 2024-01-23731Senators3Rocket2AWSommaire du match
108 - 2024-01-25749Bruins2Senators1BLSommaire du match
110 - 2024-01-27766Wolf Pack1Senators2BWSommaire du match
112 - 2024-01-29775Chill1Senators2BWSommaire du match
114 - 2024-01-31778Senators4Cougars3AWSommaire du match
124 - 2024-02-10813Marlies3Senators2BLSommaire du match
127 - 2024-02-13826Monsters4Senators0BLSommaire du match
129 - 2024-02-15841Admirals3Senators2BLXXSommaire du match
131 - 2024-02-17851Senators4Baby Hawks2AWSommaire du match
133 - 2024-02-19875Senators3Thunder2AWSommaire du match
134 - 2024-02-20876Senators3Cabaret Lady Mary Ann4ALSommaire du match
136 - 2024-02-22892Stars3Senators1BLSommaire du match
138 - 2024-02-24911Las Vegas1Senators3BWSommaire du match
140 - 2024-02-26923Senators3Bears2AWSommaire du match
141 - 2024-02-27933Senators3Chill0AWSommaire du match
144 - 2024-03-01953Jayhawks1Senators4BWSommaire du match
145 - 2024-03-02962Senators4Phantoms1AWSommaire du match
149 - 2024-03-06992Senators2Admirals1AWSommaire du match
150 - 2024-03-071003Senators2Monarchs0AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091014Senators2Sags3ALSommaire du match
155 - 2024-03-121034Manchots3Senators1BLSommaire du match
157 - 2024-03-141047Senators3Monsters2AWSommaire du match
159 - 2024-03-161060Senators2Sound Tigers4ALSommaire du match
160 - 2024-03-171077Caroline3Senators1BLSommaire du match
162 - 2024-03-191082Senators1Bruins3ALSommaire du match
164 - 2024-03-211103Chiefs0Senators2BWSommaire du match
166 - 2024-03-231117Senators0Spiders3ALSommaire du match
167 - 2024-03-241128Oil Kings4Senators1BLSommaire du match
170 - 2024-03-271148Senators0Crunch1ALSommaire du match
171 - 2024-03-281153Baby Hawks3Senators2BLSommaire du match
173 - 2024-03-301170Senators1Oceanics3ALSommaire du match
176 - 2024-04-021193Senators5Minnesota2AWSommaire du match
178 - 2024-04-041205Cabaret Lady Mary Ann0Senators1BWSommaire du match
180 - 2024-04-061224Spiders2Senators3BWXXSommaire du match
181 - 2024-04-071232Senators0Bears4ALSommaire du match
183 - 2024-04-091241Senators3Cabaret Lady Mary Ann0AWSommaire du match
185 - 2024-04-111259Senators4Thunder3AWXXSommaire du match
187 - 2024-04-131276Rocket2Senators3BWSommaire du match
189 - 2024-04-151292Senators1Wolf Pack4ALSommaire du match
190 - 2024-04-161295Senators2Bruins1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance52,58627,057
Assistance PCT64.13%65.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1943 - 64.75% 92,793$3,804,528$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,091,016$ 1,058,833$ 1,058,833$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,515$ 1,091,016$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 5,515$ 0$




Senators Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Senators Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Senators Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Senators Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Senators Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA