Connexion

Belleville Senators
GP: 33 | W: 19 | L: 14 | OTL: 0 | P: 38
GF: 90 | GA: 94 | PP%: 17.07% | PK%: 84.71%
DG: Mario Larochelle | Morale : 99 | Moyenne d’équipe : 65
Prochains matchs #457 vs Bakersfield Condors
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Centre de jeu
Hartford Wolfpack
16-15-1, 33pts
2
FINAL
1 Belleville Senators
19-14-0, 38pts
Team Stats
W2SéquenceW1
8-7-1Fiche domicile10-8-0
8-8-0Fiche domicile9-6-0
7-2-1Derniers 10 matchs6-4-0
3.59Buts par match 2.73
3.25Buts contre par match 2.85
21.05%Pourcentage en avantage numérique17.07%
71.84%Pourcentage en désavantage numérique84.71%
Belleville Senators
19-14-0, 38pts
4
FINAL
3 Grand Rapids Griffins
16-12-3, 35pts
Team Stats
W1SéquenceSOL1
10-8-0Fiche domicile7-8-2
9-6-0Fiche domicile9-4-1
6-4-0Derniers 10 matchs5-4-1
2.73Buts par match 3.00
2.85Buts contre par match 2.97
17.07%Pourcentage en avantage numérique26.53%
84.71%Pourcentage en désavantage numérique74.51%
Belleville Senators
19-14-0, 38pts
Jour 78
Bakersfield Condors
14-12-4, 32pts
Statistiques d’équipe
W1SéquenceW4
10-8-0Fiche domicile7-6-2
9-6-0Fiche visiteur7-6-2
6-4-010 derniers matchs4-5-1
2.73Buts par match 3.33
2.85Buts contre par match 3.33
17.07%Pourcentage en avantage numérique25.84%
84.71%Pourcentage en désavantage numérique75.28%
Laval Rocket
16-12-5, 37pts
Jour 80
Belleville Senators
19-14-0, 38pts
Statistiques d’équipe
W2SéquenceW1
6-6-3Fiche domicile10-8-0
10-6-2Fiche visiteur9-6-0
4-5-110 derniers matchs6-4-0
3.27Buts par match 2.73
3.42Buts contre par match 2.73
21.28%Pourcentage en avantage numérique17.07%
72.09%Pourcentage en désavantage numérique84.71%
Belleville Senators
19-14-0, 38pts
Jour 82
Rochester Americans
20-10-3, 43pts
Statistiques d’équipe
W1SéquenceL1
10-8-0Fiche domicile11-6-1
9-6-0Fiche visiteur9-4-2
6-4-010 derniers matchs6-3-1
2.73Buts par match 2.97
2.85Buts contre par match 2.97
17.07%Pourcentage en avantage numérique18.10%
84.71%Pourcentage en désavantage numérique84.21%
Meneurs d'équipe
Buts
Juraj Pekarcik
15
Passes
Matthew Poitras
15
Points
Juraj Pekarcik
24
Plus/Moins
Filip Eriksson
11
Victoires
Akira Schmid
11
Pourcentage d’arrêts
Denis Gabdrakhmanov
0.938

Statistiques d’équipe
Buts pour
90
2.73 GFG
Tirs pour
1207
36.58 Avg
Pourcentage en avantage numérique
17.1%
14 GF
Début de zone offensive
38.7%
Buts contre
94
2.85 GAA
Tirs contre
1295
39.24 Avg
Pourcentage en désavantage numérique
84.7%%
13 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralMario Larochelle
EntraîneurDominique Ducharme
DivisionEastern
ConférenceConference 1
CapitaineKyle Cumiskey
Assistant #1Filip Kral
Assistant #2Devante Smith-Pelly


Informations de l’aréna

Capacité10,000
Assistance7,062
Billets de saison4,000


Informations de la formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 75
Espoirs6


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
1Devante Smith-Pelly (A)XX100.0078407787788384605259637268878839996803011,200,000$
2Juraj Pekarcik (R)XXX99.007131738175707081777771677149366999670183925,000$
3Julian Lutz (R)X100.007236687874737378587369656952427699660203650,000$
4Ty Voit (R)XXX100.006231787768777780747568616843506299660212500,000$
5Matthew Poitras (R)X100.007034748072747475757367656742467599650203650,000$
6Gabriel VilardiX100.006632807880737563855964736556697599650251660,000$
7Owen TippettXX100.006634827581767761515863687078767899650251640,000$
8Jacob MelansonX100.00733870737668687553687263725054599964N02131,499,999$
9Kamil Bednarik (R)X100.007234707772777768756768696834357599640183500,000$
10Robert ThomasX100.006027838176717556845752726062807299630251625,000$
11Trevor Connelly (R)X100.006631688368707070606870667032348299630183500,000$
12Filip Eriksson (R)XXX100.006232747770676775716970637036345999630183500,000$
13Jean-Luc Foudy (R)X100.005929757971666669816969666649476599630222500,001$
14Brady TkachukX100.006433668078687458534856666058657699610242500,001$
15Axel AnderssonX100.0070377776747678605260557555776564996702441,000,000$
16Filip Kral (A)X100.007236767776727271537371666880675699670242500,000$
17Cale FleuryX100.006834807677767861526561656460675799650252500,001$
18Kyle Cumiskey (C)X100.009199877380785359505879589999399965N0373500,001$
19Gavin White (R)X100.007036766974747470547167656744536499640213500,000$
20Ben Danford (R)X99.007136727274696960606863746334408199640183650,000$
21Maxim Strbak (R)X100.007036727174696954586763736349567699640192650,000$
22Corson CeulemansX100.00723672717464646460686867694449769963N0213750,000$
23Leon Muggli (R)X100.006932707470676758586763736344347699630183500,000$
Rayé
1Perttu LindgrenX94.791199857476727189776555609392389966N0373750,000$
MOYENNE D’ÉQUIPE99.67633176787472736664666568665657669965
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
1Isaiah Saville (R)99.00818382808489898484757351696499670232850,000$
2Akira Schmid100.0077747685787878787877787970649964N02431,499,999$
3Denis Gabdrakhmanov (R)100.00807575768181818181808129366499610193650,000$
Rayé
MOYENNE D’ÉQUIPE99.6779777880818383818177775358649964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme86809987939978CAN554250,000$


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
1Juraj PekarcikBelleville Senators (OTT)C/LW/RW281592471403935116496412.93%1549217.58112535000014148.81%629158010.9811000320
2Matthew PoitrasBelleville Senators (OTT)C3081523880313510428597.69%1749316.44112427000004047.26%146179000.9300000013
3Ty VoitBelleville Senators (OTT)C/LW/RW3261521-66032259835696.12%2549415.452578410001112049.47%188134000.8511000110
4Julian LutzBelleville Senators (OTT)LW3310919-5200732712134728.26%1856517.133141266000080137.50%322112000.6700000231
5Trevor ConnellyBelleville Senators (OTT)LW3310818-3140382482305812.20%1648214.633251049000002247.06%512412000.7500000102
6Perttu LindgrenBelleville Senators (OTT)C2641418-1002207525475.33%341616.01044651000010054.57%416155000.8600000010
7Jacob MelansonBelleville Senators (OTT)RW338513-5160453976305110.53%1550715.38101315000000143.33%301410000.5112000020
8Filip ErikssonBelleville Senators (OTT)C/LW/RW337512116039229735547.22%1656717.20000554000002058.97%39157000.4222000001
9Devante Smith-PellyBelleville Senators (OTT)LW/RW317411-42047348517498.24%1746815.122024381013692251.22%41207100.4701000021
10Filip KralBelleville Senators (OTT)D321101118033425918141.69%3765020.32033967000210000%02922000.3400000002
11Kamil BednarikBelleville Senators (OTT)C33369-418026315415335.56%1243013.0400002000080250.91%33088000.4200000001
12Ben DanfordBelleville Senators (OTT)D33088-12804139409150%5269321.03000666000056000%1418000.2300000000
13Jean-Luc FoudyBelleville Senators (OTT)C33268-122015144418364.55%62567.77011011000170050.00%126145000.6200000010
14Gavin WhiteBelleville Senators (OTT)D33066-97529292511120%4360318.29022259000123000%0717000.2000010000
15Kyle CumiskeyBelleville Senators (OTT)D292358000242513118.00%3847716.4800007000127000%0225000.2100000000
16Corson CeulemansBelleville Senators (OTT)D3304444015517350%142758.3601115800000000%028000.2900000000
17Maxim StrbakBelleville Senators (OTT)D33044-82018191311130%2744713.5500004000161000%0612000.1800000000
18Leon MuggliBelleville Senators (OTT)D33112-2601822171475.88%2641312.5300000000159000%057000.1000000001
19Owen TippettBelleville Senators (OTT)LW/RW33202-2005111221016.67%111584.80101360000550136.36%1140000.2500000010
20Gabriel VilardiBelleville Senators (OTT)C330114004138140%61554.71000000113610049.42%17220000.1300000000
21Robert ThomasBelleville Senators (OTT)C33101-10001011439.09%21303.96000010002540042.55%4744000.1500000000
22Axel AnderssonBelleville Senators (OTT)D28011-94082511630%2128110.0600000000135000%007000.0700000000
23Cale FleuryBelleville Senators (OTT)D33000-100476120%41454.4200005000012000%04100000000000
24Brady TkachukBelleville Senators (OTT)LW28000-101001261110110%61926.8900000000000025.00%41800000000000
Statistiques d’équipe totales ou en moyenne75987134221-40175557455812074197027.21%447980112.911421357867211217569161049.93%2263246216110.455701071412
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
1Akira SchmidBelleville Senators (OTT)1511400.9312.669040040577287301.00021513421
2Isaiah SavilleBelleville Senators (OTT)125700.9203.137280038477216011.0002121320
3Denis GabdrakhmanovBelleville Senators (OTT)63300.9382.473640015240128001.0003614201
Statistiques d’équipe totales ou en moyenne33191400.9282.791998009312946313173328942


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 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
Akira SchmidBelleville Senators (OTT)G241990-09-01No205 Lbs6 ft6YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$903,141$0$0$No1,499,999$1,499,999$-------YesYes-------
Axel AnderssonBelleville Senators (OTT)D241990-08-31No191 Lbs6 ft0NoNoN/ANoNo4Pro & Farm1,000,000$602,094$0$0$No1,000,000$1,000,000$1,000,000$------NoNoNo------
Ben DanfordBelleville Senators (OTT)D181996-09-03Yes190 Lbs6 ft1NoNoProspectNoNo32024-09-02Pro & Farm650,000$391,361$0$0$No650,000$650,000$-------NoNo-------
Brady TkachukBelleville Senators (OTT)LW241990-10-04No205 Lbs6 ft4NoNoFree AgentNoNo22024-03-11Pro & Farm500,001$301,048$0$0$No500,001$--------No--------
Cale FleuryBelleville Senators (OTT)D251989-08-31No214 Lbs6 ft1NoNoFree AgentNoNo22024-03-11Pro & Farm500,001$301,048$0$0$No500,001$--------No--------
Corson CeulemansBelleville Senators (OTT)D211993-09-01No198 Lbs6 ft2YesNoFree AgentNoNo32024-09-02Pro & Farm750,000$451,571$0$0$No750,000$750,000$-------YesYes-------
Denis GabdrakhmanovBelleville Senators (OTT)G191995-09-03Yes187 Lbs6 ft3NoNoProspectNoNo32024-09-02Pro & Farm650,000$391,361$0$0$No650,000$650,000$-------NoNo-------
Devante Smith-PellyBelleville Senators (OTT)LW/RW301984-06-14No229 Lbs6 ft0NoNoTrade2024-08-23NoNo1Farm Only1,200,000$722,513$0$0$No------------------
Filip ErikssonBelleville Senators (OTT)C/LW/RW181996-09-03Yes172 Lbs6 ft0NoNoProspectNoNo32024-09-02Pro & Farm500,000$301,047$0$0$No500,000$500,000$-------NoNo-------
Filip KralBelleville Senators (OTT)D241990-08-17No200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,000$301,047$0$0$No500,000$--------No--------
Gabriel VilardiBelleville Senators (OTT)C251989-10-04No215 Lbs6 ft4NoNoN/ANoNo1Pro & Farm660,000$397,382$0$0$No------------------
Gavin WhiteBelleville Senators (OTT)D211993-07-23Yes192 Lbs6 ft1NoNoProspectNoNo32024-07-22Pro & Farm500,000$301,047$0$0$No500,000$500,000$-------NoNo-------
Isaiah SavilleBelleville Senators (OTT)G231991-08-31Yes203 Lbs6 ft4NoNoN/ANoNo2Pro & Farm850,000$511,780$0$0$No850,000$--------No--------
Jacob MelansonBelleville Senators (OTT)RW211993-09-01No205 Lbs6 ft1YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$903,141$0$0$No1,499,999$1,499,999$-------YesYes-------
Jean-Luc FoudyBelleville Senators (OTT)C221992-09-04Yes181 Lbs6 ft0NoNoFree AgentNoNo22024-03-11Pro & Farm500,001$301,048$0$0$No500,001$--------No--------
Julian LutzBelleville Senators (OTT)LW201994-09-03Yes194 Lbs6 ft2NoNoProspectNoNo32024-09-02Pro & Farm650,000$391,361$0$0$No650,000$650,000$-------NoNo-------
Juraj PekarcikBelleville Senators (OTT)C/LW/RW181996-09-03Yes187 Lbs6 ft2NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Kamil BednarikBelleville Senators (OTT)C181996-09-03Yes185 Lbs6 ft0NoNoProspectNoNo32024-09-02Pro & Farm500,000$301,047$0$0$No500,000$500,000$-------NoNo-------
Kyle CumiskeyBelleville Senators (OTT)D371977-08-07No197 Lbs5 ft10YesNoFree AgentNoNo32024-09-02Pro & Farm500,001$301,048$0$0$No500,001$500,001$-------YesYes-------
Leon MuggliBelleville Senators (OTT)D181996-09-03Yes176 Lbs6 ft1NoNoProspectNoNo32024-09-02Pro & Farm500,000$301,047$0$0$No500,000$500,000$-------NoNo-------
Matthew PoitrasBelleville Senators (OTT)C201994-07-23Yes181 Lbs5 ft11NoNoProspectNoNo32024-07-22Pro & Farm650,000$391,361$0$0$No650,000$650,000$-------NoNo-------
Maxim StrbakBelleville Senators (OTT)D191995-09-14Yes190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm650,000$391,361$0$0$No650,000$--------No--------
Owen TippettBelleville Senators (OTT)LW/RW251989-10-04No232 Lbs6 ft1NoNoTrade2024-08-23NoNo1Farm Only640,000$385,340$0$0$No------------------
Perttu Lindgren (sur la masse salariale)Belleville Senators (OTT)C371977-08-07No194 Lbs6 ft0YesNoFree AgentNoNo32024-09-02Pro & Farm750,000$451,571$0$0$Yes750,000$750,000$-------YesYes-------
Robert ThomasBelleville Senators (OTT)C251989-10-04No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm625,000$376,309$0$0$No------------------
Trevor ConnellyBelleville Senators (OTT)LW181996-09-03Yes161 Lbs6 ft1NoNoProspectNoNo32024-09-02Pro & Farm500,000$301,047$0$0$No500,000$500,000$-------NoNo-------
Ty VoitBelleville Senators (OTT)C/LW/RW211993-09-14Yes163 Lbs6 ft0NoNoN/ANoNo2Pro & Farm500,000$301,047$0$0$No500,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.78194 Lbs6 ft12.48709,259$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Julian LutzMatthew PoitrasJuraj Pekarcik25122
2Ty VoitJean-Luc FoudyJacob Melanson25122
3Trevor ConnellyGabriel VilardiFilip Eriksson25122
4Robert ThomasKamil BednarikDevante Smith-Pelly25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip KralAxel Andersson25122
2Gavin WhiteBen Danford25122
3Leon MuggliCorson Ceulemans25122
4Maxim StrbakCale Fleury25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Julian LutzMatthew PoitrasJuraj Pekarcik60113
2Ty VoitJean-Luc FoudyJacob Melanson40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin WhiteFilip Kral60113
2Corson CeulemansBen Danford40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Gabriel VilardiDevante Smith-Pelly60131
2Robert ThomasKamil Bednarik40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Axel AnderssonBen Danford60131
2Maxim StrbakLeon Muggli40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Gabriel Vilardi60140Axel AnderssonBen Danford60122
2Robert Thomas40140Maxim StrbakLeon Muggli40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kamil BednarikTrevor Connelly60122
2Gabriel VilardiFilip Eriksson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Axel AnderssonFilip Kral60122
2Leon MuggliBen Danford40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Julian LutzMatthew PoitrasJuraj PekarcikGavin WhiteFilip Kral
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Robert ThomasGabriel VilardiDevante Smith-PellyAxel AnderssonBen Danford
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kamil Bednarik, Trevor Connelly, Brady TkachukFilip Eriksson, Kamil BednarikOwen Tippett
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cale Fleury, Maxim Strbak, Leon MuggliMaxim StrbakCale Fleury, Corson Ceulemans
Tirs de pénalité
Jacob Melanson, Juraj Pekarcik, Filip Eriksson, Trevor Connelly, Julian Lutz
Gardien
#1 : Isaiah Saville, #2 : Akira Schmid, #3 : Denis Gabdrakhmanov
Lignes d’attaque personnalisées en prolongation
Juraj Pekarcik, Julian Lutz, Ty Voit, Matthew Poitras, Jean-Luc Foudy, Jacob Melanson, Jacob Melanson, Filip Eriksson, Kamil Bednarik, Owen Tippett, Gabriel Vilardi
Lignes de défense personnalisées en prolongation
Filip Kral, Gavin White, Axel Andersson, Maxim Strbak, Ben Danford


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
1Abbotsford's Canucks2110000046-2110000004311010000003-320.5004590017452466143438837814651712288112.50%60100.00%044687151.21%45588651.35%22949646.17%692399722297584289
2Bakersfield Condors1010000045-11010000045-10000000000000.00045900174524643434388378144215224200.00%10100.00%044687151.21%45588651.35%22949646.17%692399722297584289
3Bridgeport's Islanders1010000013-21010000013-20000000000000.00011200174524631434388378144316412000%20100.00%044687151.21%45588651.35%22949646.17%692399722297584289
4Calgary Wranglers22000000844110000004221100000042241.00081220001745246864343883781474206267457.14%30100.00%044687151.21%45588651.35%22949646.17%692399722297584289
5Charlotte Checkers1010000035-2000000000001010000035-200.00035810174524638434388378143696135120.00%30100.00%044687151.21%45588651.35%22949646.17%692399722297584289
6Chicago Wolves11000000624000000000001100000062421.000610160017452463443438837814389223000%10100.00%044687151.21%45588651.35%22949646.17%692399722297584289
7Colorado Eagles2010001049-5100000103211010000017-620.5004590017452465943438837814932517293133.33%6266.67%044687151.21%45588651.35%22949646.17%692399722297584289
8Grand Rapids Griffins2010001058-31010000015-41000001043120.50057120017452468043438837814822318507114.29%9366.67%044687151.21%45588651.35%22949646.17%692399722297584289
9Hartford Wolfpack211000005411010000012-11100000042220.5005712001745246674343883781479408245120.00%40100.00%044687151.21%45588651.35%22949646.17%692399722297584289
10Henderson Silver Knights1010000012-11010000012-10000000000000.00011200174524635434388378144018819000%40100.00%044687151.21%45588651.35%22949646.17%692399722297584289
11Hershey Bears11000000321110000003210000000000021.00035800174524634434388378144017412300.00%20100.00%044687151.21%45588651.35%22949646.17%692399722297584289
12Iowa Wild1010000024-2000000000001010000024-200.00024600174524638434388378144622417200.00%220.00%044687151.21%45588651.35%22949646.17%692399722297584289
13Laval Rocket1010000014-3000000000001010000014-300.00011200174524638434388378144412418500.00%2150.00%044687151.21%45588651.35%22949646.17%692399722297584289
14Lehigh Valley Phantoms1010000025-31010000025-30000000000000.00024600174524627434388378144214821200.00%4175.00%044687151.21%45588651.35%22949646.17%692399722297584289
15Ontario Reign10000010431100000104310000000000021.000459001745246514343883781436110172150.00%000%044687151.21%45588651.35%22949646.17%692399722297584289
16Providence Bruins2110000056-11010000014-31100000042220.50057120017452467143438837814793012354125.00%6183.33%044687151.21%45588651.35%22949646.17%692399722297584289
17Rochester Americans1010000024-21010000024-20000000000000.00023500174524632434388378144114817300.00%4175.00%144687151.21%45588651.35%22949646.17%692399722297584289
18Rockford IceHogs11000000321000000000001100000032121.00035800174524630434388378143413420300.00%20100.00%044687151.21%45588651.35%22949646.17%692399722297584289
19San Diego Gulls 11000000312110000003120000000000021.00034700174524637434388378143218618100.00%30100.00%044687151.21%45588651.35%22949646.17%692399722297584289
20San Jose Barracuda10001000321100010003210000000000021.00035800174524635434388378144220818400.00%40100.00%044687151.21%45588651.35%22949646.17%692399722297584289
21Springfield Thunderbirds11000000312110000003120000000000021.000358001745246424343883781435116152150.00%30100.00%044687151.21%45588651.35%22949646.17%692399722297584289
22Syracuse Crunch11000000312000000000001100000031221.000358001745246474343883781433112222150.00%10100.00%044687151.21%45588651.35%22949646.17%692399722297584289
23Texas Stars11000000431110000004310000000000021.000461000174524637434388378144111611100.00%3166.67%044687151.21%45588651.35%22949646.17%692399722297584289
24Toronto Marlies11000000312000000000001100000031221.0003470017452463243438837814337424500.00%20100.00%044687151.21%45588651.35%22949646.17%692399722297584289
25Utica Comets11000000312000000000001100000031221.00035800174524647434388378143014623100.00%30100.00%044687151.21%45588651.35%22949646.17%692399722297584289
26Wilkes-Barre/Scranton Penguins2110000056-1110000004131010000015-420.50058130017452467543438837814953010385120.00%5180.00%044687151.21%45588651.35%22949646.17%692399722297584289
Total331514010309094-41878010204850-21586000104244-2380.576901342241017452461207434388378141295447175574821417.07%851384.71%144687151.21%45588651.35%22949646.17%692399722297584289
_Since Last GM Reset331514010309094-41878010204850-21586000104244-2380.576901342241017452461207434388378141295447175574821417.07%851384.71%144687151.21%45588651.35%22949646.17%692399722297584289
_Vs Conference331514010309094-41878010204850-21586000104244-2380.576901342241017452461207434388378141295447175574821417.07%851384.71%144687151.21%45588651.35%22949646.17%692399722297584289
_Vs Division1877000004752-5815000001526-1110620000032266140.3894772119101745246653434388378147152469633247612.77%48883.33%144687151.21%45588651.35%22949646.17%692399722297584289

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3338W1901342241207129544717557410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
33151410309094
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
187810204850
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
158600104244
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
821417.07%851384.71%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
434388378141745246
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
44687151.21%45588651.35%22949646.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
692399722297584289


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
13San Jose Barracuda2Belleville Senators3BWXSommaire du match
425Bridgeport's Islanders3Belleville Senators1BLSommaire du match
639Grand Rapids Griffins5Belleville Senators1BLSommaire du match
744Belleville Senators1Wilkes-Barre/Scranton Penguins5ALSommaire du match
958Belleville Senators3Syracuse Crunch1AWSommaire du match
1169Belleville Senators2Iowa Wild4ALSommaire du match
1384Belleville Senators3Charlotte Checkers5ALSommaire du match
1592Belleville Senators1Colorado Eagles7ALSommaire du match
18109Belleville Senators3Toronto Marlies1AWSommaire du match
20120Lehigh Valley Phantoms5Belleville Senators2BLSommaire du match
21125San Diego Gulls 1Belleville Senators3BWSommaire du match
25148Belleville Senators3Utica Comets1AWSommaire du match
28164Belleville Senators4Calgary Wranglers2AWSommaire du match
30177Texas Stars3Belleville Senators4BWSommaire du match
32187Belleville Senators4Providence Bruins2AWSommaire du match
34199Bakersfield Condors5Belleville Senators4BLSommaire du match
37220Belleville Senators4Hartford Wolfpack2AWSommaire du match
39229Providence Bruins4Belleville Senators1BLSommaire du match
42247Hershey Bears2Belleville Senators3BWSommaire du match
43253Belleville Senators6Chicago Wolves2AWSommaire du match
45263Springfield Thunderbirds1Belleville Senators3BWSommaire du match
47280Ontario Reign3Belleville Senators4BWXXSommaire du match
50297Rochester Americans4Belleville Senators2BLSommaire du match
51301Abbotsford's Canucks3Belleville Senators4BWSommaire du match
57336Belleville Senators3Rockford IceHogs2AWSommaire du match
58340Henderson Silver Knights2Belleville Senators1BLSommaire du match
60353Belleville Senators0Abbotsford's Canucks3ALSommaire du match
63373Colorado Eagles2Belleville Senators3BWXXSommaire du match
65385Wilkes-Barre/Scranton Penguins1Belleville Senators4BWSommaire du match
69403Belleville Senators1Laval Rocket4ALSommaire du match
72422Calgary Wranglers2Belleville Senators4BWSommaire du match
74435Hartford Wolfpack2Belleville Senators1BLSommaire du match
76447Belleville Senators4Grand Rapids Griffins3AWXXSommaire du match
78457Belleville Senators-Bakersfield Condors-
80468Laval Rocket-Belleville Senators-
82481Belleville Senators-Rochester Americans-
85500Belleville Senators-Bridgeport's Islanders-
87509Charlotte Checkers-Belleville Senators-
89521Syracuse Crunch-Belleville Senators-
92541Belleville Senators-Texas Stars-
93547Chicago Wolves-Belleville Senators-
97570Manitoba Moose-Belleville Senators-
98576Belleville Senators-Lehigh Valley Phantoms-
101593Belleville Senators-San Diego Gulls -
103605Iowa Wild-Belleville Senators-
106620Rockford IceHogs-Belleville Senators-
108634Belleville Senators-Henderson Silver Knights-
109641Utica Comets-Belleville Senators-
112657Belleville Senators-San Jose Barracuda-
116677Belleville Senators-Springfield Thunderbirds-
118692Toronto Marlies-Belleville Senators-
120704Belleville Senators-Ontario Reign-
125727Belleville Senators-Manitoba Moose-
127740Belleville Senators-Hershey Bears-
131758Belleville Senators-Ontario Reign-
132767Belleville Senators-Rockford IceHogs-
135790San Diego Gulls -Belleville Senators-
137801Belleville Senators-Calgary Wranglers-
140819Bridgeport's Islanders-Belleville Senators-
141822Hartford Wolfpack-Belleville Senators-
143838Henderson Silver Knights-Belleville Senators-
146854Belleville Senators-Grand Rapids Griffins-
147860Rochester Americans-Belleville Senators-
150881Bakersfield Condors-Belleville Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153899Belleville Senators-Springfield Thunderbirds-
154905Toronto Marlies-Belleville Senators-
156920Charlotte Checkers-Belleville Senators-
158933Belleville Senators-Lehigh Valley Phantoms-
161949Belleville Senators-Laval Rocket-
162956Belleville Senators-Utica Comets-
168994San Jose Barracuda-Belleville Senators-
1711015Colorado Eagles-Belleville Senators-
1721022Iowa Wild-Belleville Senators-
1741037Syracuse Crunch-Belleville Senators-
1761049Belleville Senators-Hershey Bears-
1781064Belleville Senators-Wilkes-Barre/Scranton Penguins-
1811083Texas Stars-Belleville Senators-
1821088Abbotsford's Canucks-Belleville Senators-
1851107Belleville Senators-Manitoba Moose-
1861114Belleville Senators-Chicago Wolves-
1881130Belleville Senators-Providence Bruins-
1901144Belleville Senators-Rochester Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets5030
Assistance68,78258,334
Assistance PCT76.42%64.82%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 7062 - 70.62% 429,544$7,731,790$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,588,210$ 3,680,000$ 3,680,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,488,726$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
9,879,509$ 115 20,576$ 2,366,240$




Belleville 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

Belleville 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

Belleville 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

Belleville 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

Belleville 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