Connexion

Belleville Senators
GP: 23 | W: 14 | L: 9
GF: 81 | GA: 76 | PP%: 13.64% | PK%: 73.42%
DG: Jacques Gagne | Morale : 79 | Moyenne d’équipe : 60
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Centre de jeu
Belleville Senators
14-9-0, 28pts
3
FINAL
5 Rockford IceHogs
16-7-0, 32pts
Team Stats
OTL1SéquenceW2
8-3-0Fiche domicile10-1-0
6-6-0Fiche domicile6-6-0
6-3-1Derniers 10 matchs7-3-0
3.52Buts par match 3.65
3.30Buts contre par match 3.17
13.64%Pourcentage en avantage numérique21.52%
73.42%Pourcentage en désavantage numérique87.10%
Rockford IceHogs
16-7-0, 32pts
2
FINAL
1 Belleville Senators
14-9-0, 28pts
Team Stats
W2SéquenceOTL1
10-1-0Fiche domicile8-3-0
6-6-0Fiche domicile6-6-0
7-3-0Derniers 10 matchs6-3-1
3.65Buts par match 3.52
3.17Buts contre par match 3.30
21.52%Pourcentage en avantage numérique13.64%
87.10%Pourcentage en désavantage numérique73.42%
Meneurs d'équipe
Nathan WalkerButs
Nathan Walker
12
Chris TerryPasses
Chris Terry
20
Chris TerryPoints
Chris Terry
28
Plus/Moins
Paul LaDue
15
Troy GrosenickVictoires
Troy Grosenick
9
Chris DriedgerPourcentage d’arrêts
Chris Driedger
0.917

Statistiques d’équipe
Buts pour
81
3.52 GFG
Tirs pour
879
38.22 Avg
Pourcentage en avantage numérique
13.6%
6 GF
Début de zone offensive
39.5%
Buts contre
76
3.30 GAA
Tirs contre
753
32.74 Avg
Pourcentage en désavantage numérique
73.4%%
21 GA
Début de la zone défensive
34.2%
Informations de l'équipe

Directeur généralJacques Gagne
EntraîneurDean Evason
DivisionDivision 2
ConférenceConference 1
CapitaineJustin Bailey
Assistant #1Drew Helleson
Assistant #2Drake Caggiula


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro39
Équipe Mineure18
Limite contact 57 / 100
Espoirs25


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
1Craig Smith0XXX100.0069418270818181676667686471888140786803441,499,999$
2Michael Mersch0XXX100.0078558468838789686266686756797253786803141,400,000$
3Matt Nieto0XXX100.0068398967728489646062647463837654786703141,499,999$
4Chris Terry0XXX100.0065479066689584677766676067857748786603521,995,000$
5Ridly Greig (R)0XX100.0066557273828282687070636464636391776622131,400,000$
6Drake Caggiula (A)23XXX100.0064448268679076667166636663727353686503011,800,000$
7Justin Bailey (C)0XX100.007748776187887860615959725976716478650292850,000$
8Nathan Walker0XX100.0075428964677784667564686564767160726523021,400,000$
9David Gustafsson (R)26X100.0056457866857477637862577656646283776422431,500,000$
10Adam Beckman (R)0X100.0064459067798885635761626363636374796422341,000,000$
11Dylan Guenther (R)0XX100.005645797077787565576462656258598679632212925,000$
12Scott Sabourin0XXX100.007888576285727960605556736579723269630312750,000$
13Jimmy Huntington0X100.006542856176737559696257576166635578600253990,000$
14Serron Noel (R)0XX100.006640666371757860605655605860608853590233975,000$
15Owen Power0X100.006455897298947868307561826064588768722211916,667$
16Derrick Pouliot0X100.006642666775837766306658705276707820660302750,000$
17Thomas Hickey0X100.007142866740837267306860734783736274660352900,000$
18Paul LaDue20X100.006145906080807960306262724780734678660312750,000$
19Andreas Englund69X100.0080486361827885593057576546726868786522811,200,000$
20Drew Helleson (R) (A)0X100.006055705764807758305859695557427878610232925,000$
Rayé
1Markus Nurmi (R)0XX100.008240896091898167645860636259606475640262995,000$
2Brandon Coe (R)0X100.007535906673747760606060605561614320610221900,000$
3Logan Hutsko (R)0X100.006655706167828160666257604465608020600252950,000$
4Cedric Pare (R)0X100.007540885784767657665857595760407720590251975,000$
5Jasper Weatherby0X100.0077455865787277557255525960565676265812631,200,000$
6Tyson Kozak (R)0X100.005850775571727558585758535361637719570212850,000$
7Jeremy McKenna (R)0XX100.005645775565757755505557565555506620560252975,000$
8Liam Ohgren (R)0X100.001111111111111111150203886,667$
9Connor Mackey0X100.007845776372808362306260696065637219650274900,000$
10Dmitri Samorukov0X100.006735826285788359305759694765666277650253975,000$
11Christian Wolanin 6X100.006345836478808163306459615855556920621292950,000$
12Noel Hoefenmayer (R)0X100.0064406056737780583063596763606066206202531,200,000$
13Alex Green (R)0X100.0064447754826581603056556260606065206002631,750,000$
14Kyle Masters (R)0X100.001111111111111111150213865,000$
15Shai Buium (R)0X100.001111111111111111150213925,000$
MOYENNE D’ÉQUIPE100.00624272587073735748565560536258615158
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
1Chris Driedger1100.007870708877778078777877708441707603041,400,000$
2Troy Grosenick0100.00737070747071747172737382885178720341950,000$
Rayé
1Joey Daccord33100.007671718175777675767572697359817402711,500,000$
2Michael Houser0100.007470697672747473747174788454287203111,950,000$
MOYENNE D’ÉQUIPE100.0075707080747576747574747582516474
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason82888975888258CAN5831,000,000$


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
1Chris TerryBelleville Senators (OTT)C/LW/RW2382028420192578384810.26%842418.440225380110311160.22%465147001.3200000040
2Nathan WalkerBelleville Senators (OTT)LW/RW23121224440361487244113.79%939117.02123538000032255.17%29135021.2300000221
3Michael MerschBelleville Senators (OTT)C/LW/RW231112233195262592333711.96%843819.081233361013463056.67%30233001.0500100103
4Craig SmithBelleville Senators (OTT)C/LW/RW23415194281024248628474.65%1538916.94011535000090051.38%399165000.9800101003
5Drake CaggiulaBelleville Senators (OTT)C/LW/RW2312517-180281874303216.22%839817.322024320000121047.50%40187100.8500000310
6Matt NietoBelleville Senators (OTT)C/LW/RW1986141280152255193714.55%424713.03101180003242162.50%24116001.1300000401
7Paul LaDueBelleville Senators (OTT)D231121315201627271573.70%3049521.53123545000068000%0812000.5300000100
8Thomas HickeyBelleville Senators (OTT)D231910-214040293915202.56%3661726.84000024000364000%0821000.3200000010
9Adam BeckmanBelleville Senators (OTT)LW236395201782610923.08%21637.090000000000200%030001.1000000012
10David GustafssonBelleville Senators (OTT)C23358210013242591812.00%331613.76000030000580050.57%263314000.5100000001
11Ridly GreigBelleville Senators (OTT)C/LW23538114029135825348.62%825311.0400003000001057.14%7111000.6300000010
12Dylan Guenther Belleville Senators (OTT)LW/RW23347410016114515356.67%529812.97011330000001025.00%12113000.4700000000
13Owen PowerBelleville Senators (OTT)D19167-5161022313617182.78%2450326.50000224000144000%01226000.2800110100
14Scott SabourinBelleville Senators (OTT)C/LW/RW1933681610123121425.00%01065.6100000000001050.00%231001.1200110001
15Justin BaileyBelleville Senators (OTT)LW/RW23145110035203614302.78%438216.64000000000600026.92%2655000.2600000001
16Drew HellesonBelleville Senators (OTT)D2305511175152218390%1035715.5300008000013000%0312000.2800001000
17Jimmy HuntingtonBelleville Senators (OTT)C232351112016132712127.41%62259.8000000000000052.32%15152000.4400000010
18Andreas EnglundBelleville Senators (OTT)D2301158027189340%1030513.290000100008000%004000.0700000000
19Derrick PouliotBelleville Senators (OTT)D3000000000000%000.190000000000000%00000000000000
20Markus NurmiBelleville Senators (OTT)LW/RW8000000664520%0445.5600001000000066.67%31100000000000
21Serron NoelBelleville Senators (OTT)LW/RW23000000000000%000.020000000000000%00000000000000
22Dmitri SamorukovBelleville Senators (OTT)D20000-100252110%2572.850000700000000%00100000000000
Statistiques d’équipe totales ou en moyenne4568112820981200404143588363174459.69%192641814.0761016333421121044614453.82%1451168136120.6500422121113
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
1Troy GrosenickBelleville Senators (OTT)159510.8963.3489700504792531100158000
2Chris DriedgerBelleville Senators (OTT)85210.9172.714870022264136010086101
3Joey DaccordBelleville Senators (OTT)10000.7507.501600282000009000
Statistiques d’équipe totales ou en moyenne2414720.9013.17140200747513911202323101


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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
Adam BeckmanBelleville Senators (OTT)LW232001-05-10 09:24:35Yes187 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------NoNoNo------Lien
Alex GreenBelleville Senators (OTT)D261998-06-18 04:02:37Yes177 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,750,000$1,750,000$0$0$No1,750,000$1,750,000$-------NoNo-------Lien
Andreas EnglundBelleville Senators (OTT)D281996-01-21No189 Lbs6 ft3NoNoDraftNoNo1FalseFalsePro & Farm1,200,000$1,200,000$0$0$No------------------Lien / Lien NHL
Brandon CoeBelleville Senators (OTT)RW222001-12-01 12:38:14Yes190 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm900,000$900,000$0$0$No------------------Lien
Cedric PareBelleville Senators (OTT)C251999-01-24 15:21:34Yes205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm975,000$975,000$0$0$No------------------
Chris DriedgerBelleville Senators (OTT)G301994-05-18No208 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm1,400,000$1,400,000$0$0$No1,400,000$1,400,000$1,400,000$------NoNoNo------Lien / Lien NHL
Chris TerryBelleville Senators (OTT)C/LW/RW351989-04-07No191 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,995,000$1,995,000$0$0$No1,995,000$--------No--------Lien / Lien NHL
Christian Wolanin Belleville Senators (OTT)D291995-03-17 08:38:38No185 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------No--------
Connor MackeyBelleville Senators (OTT)D271996-09-12 17:47:13No190 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$900,000$------NoNoNo------
Craig SmithBelleville Senators (OTT)C/LW/RW341989-09-05No206 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm1,499,999$1,499,999$0$0$No1,499,999$1,499,999$1,499,999$------NoNoNo------Lien / Lien NHL
David GustafssonBelleville Senators (OTT)C242000-04-11 13:07:03Yes212 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Derrick PouliotBelleville Senators (OTT)D301994-01-16No196 Lbs6 ft0NoNoDraftNoNo2FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------No--------Lien / Lien NHL
Dmitri SamorukovBelleville Senators (OTT)D251999-06-16No188 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm975,000$975,000$0$0$No975,000$975,000$-------NoNo-------
Drake CaggiulaBelleville Senators (OTT)C/LW/RW301994-06-20No176 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,800,000$1,800,000$0$0$No------------------Lien / Lien NHL
Drew HellesonBelleville Senators (OTT)D232001-03-26 15:23:05Yes195 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm925,000$925,000$0$0$No925,000$--------No--------Lien
Dylan Guenther Belleville Senators (OTT)LW/RW212003-04-19 03:08:17Yes175 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$925,000$0$0$No925,000$--------No--------Lien
Jasper WeatherbyBelleville Senators (OTT)C261998-01-22 08:15:06No202 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Jeremy McKennaBelleville Senators (OTT)LW/RW251999-04-20 02:47:48Yes174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm975,000$975,000$0$0$No975,000$--------No--------Lien
Jimmy HuntingtonBelleville Senators (OTT)C251998-11-18No204 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm990,000$990,000$0$0$No990,000$990,000$-------NoNo-------Lien
Joey DaccordBelleville Senators (OTT)G271996-08-19No201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$1,500,000$0$0$No------------------Lien
Justin BaileyBelleville Senators (OTT)LW/RW291995-07-01No214 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------No--------Lien / Lien NHL
Kyle MastersBelleville Senators (OTT)D212003-04-09 02:36:30Yes190 Lbs6 ft0NoNoDraftNoNo32024-06-29FalseFalsePro & Farm865,000$865,000$0$0$No865,000$865,000$-------NoNo-------Lien
Liam OhgrenBelleville Senators (OTT)LW202004-01-28 02:35:31Yes187 Lbs6 ft0NoNoDraftNoNo32024-06-29FalseFalsePro & Farm886,667$886,667$0$0$No886,667$886,667$-------NoNo-------Lien
Logan HutskoBelleville Senators (OTT)C251999-02-11 15:24:50Yes172 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------No--------
Markus NurmiBelleville Senators (OTT)LW/RW261998-06-28 09:01:47Yes206 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm995,000$995,000$0$0$No995,000$--------No--------
Matt Nieto (contrat à 1 volet)Belleville Senators (OTT)C/LW/RW311992-11-05No187 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm1,499,999$1,499,999$1,499,999$0$No1,499,999$1,499,999$1,499,999$------NoNoNo------Lien / Lien NHL
Michael HouserBelleville Senators (OTT)G311992-09-13 10:11:17No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,950,000$1,950,000$0$0$No------------------
Michael MerschBelleville Senators (OTT)C/LW/RW311992-10-02No213 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm1,400,000$1,400,000$0$0$No1,400,000$1,400,000$1,400,000$------NoNoNo------Lien
Nathan WalkerBelleville Senators (OTT)LW/RW301994-02-07No186 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,400,000$1,400,000$0$0$No1,400,000$--------No--------Lien / Lien NHL
Noel HoefenmayerBelleville Senators (OTT)D251999-01-06 04:09:47Yes196 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Owen PowerBelleville Senators (OTT)D212002-11-22 15:26:12No218 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm916,667$916,667$0$0$No------------------
Paul LaDueBelleville Senators (OTT)D311992-09-06No200 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------No--------Lien
Ridly GreigBelleville Senators (OTT)C/LW212002-08-08 11:18:09Yes184 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,400,000$1,400,000$0$0$No1,400,000$1,400,000$-------NoNo-------Lien
Scott SabourinBelleville Senators (OTT)C/LW/RW311992-07-30No208 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------No--------Lien
Serron NoelBelleville Senators (OTT)LW/RW232000-08-08 04:11:26Yes216 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm975,000$975,000$0$0$No975,000$975,000$-------NoNo-------
Shai BuiumBelleville Senators (OTT)D212003-03-26 02:37:44Yes209 Lbs6 ft3NoNoDraftNoNo32024-06-29FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------Lien
Thomas HickeyBelleville Senators (OTT)D351989-02-08No183 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------No--------Lien / Lien NHL
Troy GrosenickBelleville Senators (OTT)G341989-08-27No181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$950,000$0$0$No------------------Lien / Lien NHL
Tyson KozakBelleville Senators (OTT)C212002-12-29 09:04:56Yes173 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3926.72194 Lbs6 ft12.381,141,624$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerChris TerryMichael Mersch30104
2Justin BaileyCraig SmithDrake Caggiula30014
3Ridly GreigDavid GustafssonDylan Guenther 20122
4Adam BeckmanJimmy HuntingtonMatt Nieto20131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Paul LaDue30113
2Owen PowerThomas Hickey30113
3Drew HellesonAndreas Englund20140
4Owen PowerThomas Hickey20131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael MerschChris TerryDrake Caggiula52104
2Nathan WalkerCraig SmithDylan Guenther 48005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Paul LaDue52113
2Thomas HickeyOwen Power48023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1David GustafssonJustin Bailey52041
2Michael MerschMatt Nieto48050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas HickeyPaul LaDue52050
2Owen Power48140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1David Gustafsson55050Paul LaDue55050
2Justin Bailey45050Thomas HickeyOwen Power45050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael MerschNathan Walker53122
2Craig SmithChris Terry47122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas HickeyPaul LaDue53122
2Owen Power47122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerMichael MerschChris TerryPaul LaDue
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin BaileyDavid GustafssonDrake CaggiulaOwen Power
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Mersch, Chris Terry, Nathan WalkerDrake Caggiula, Dylan Guenther Nathan Walker
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul LaDue, , Owen PowerAndreas EnglundDrew Helleson, Paul LaDue
Tirs de pénalité
Craig Smith, Chris Terry, , Nathan Walker, Drake Caggiula
Gardien
#1 : Chris Driedger, #2 : Troy Grosenick
Lignes d’attaque personnalisées en prolongation
Craig Smith, Michael Mersch, Chris Terry, Adam Beckman, David Gustafsson, Jimmy Huntington, Jimmy Huntington, Justin Bailey, Ridly Greig, Drake Caggiula, Dylan Guenther
Lignes de défense personnalisées en prolongation
, Owen Power, Paul LaDue, Thomas Hickey, Drew Helleson


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
1Binghamton Devils64200000191723300000012843120000079-280.66719335210193426224227932426214200576413012216.67%22577.27%032157356.02%25649651.61%20438253.40%512295461215430211
2Lehigh Valley Phantoms6420000025223321000001413132100000119280.6672542670019342622292793242621419949321031500.00%16568.75%132157356.02%25649651.61%20438253.40%512295461215430211
3Rockford IceHogs624000001618-23120000078-131200000910-140.3331626421019342622282793242621421070321196116.67%16475.00%032157356.02%25649651.61%20438253.40%512295461215430211
4Syracuse Crunch5410000021192220000001046321000001115-480.8002137580019342621802793242621414435808711327.27%25772.00%032157356.02%25649651.61%20438253.40%512295461215430211
Total2314900000817651183000004333101266000003843-5280.609811382192019342628792793242621475321120843944613.64%792173.42%132157356.02%25649651.61%20438253.40%512295461215430211
_Since Last GM Reset2314900000817651183000004333101266000003843-5280.609811382192019342628792793242621475321120843944613.64%792173.42%132157356.02%25649651.61%20438253.40%512295461215430211
_Vs Conference17125000006558787100000362511954000002933-4240.706651121771019342626512793242621454314117632038513.16%631773.02%132157356.02%25649651.61%20438253.40%512295461215430211
_Vs Division1283000004439565000000262156330000018180160.667447511910193426247127932426214399106962332727.41%381073.68%132157356.02%25649651.61%20438253.40%512295461215430211

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2328OTL18113821987975321120843920
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2314900008176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
118300004333
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
126600003843
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
44613.64%792173.42%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
279324262141934262
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
32157356.02%25649651.61%20438253.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
512295461215430211


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
11Belleville Senators5Lehigh Valley Phantoms2WSommaire du match
39Belleville Senators2Lehigh Valley Phantoms4LSommaire du match
517Lehigh Valley Phantoms4Belleville Senators6WSommaire du match
725Lehigh Valley Phantoms6Belleville Senators4LSommaire du match
933Belleville Senators4Lehigh Valley Phantoms3WXSommaire du match
1141Lehigh Valley Phantoms3Belleville Senators4WSommaire du match
1557Belleville Senators5Syracuse Crunch4WSommaire du match
1761Belleville Senators2Syracuse Crunch9LSommaire du match
1965Syracuse Crunch1Belleville Senators4WSommaire du match
2169Syracuse Crunch3Belleville Senators6WSommaire du match
2373Belleville Senators4Syracuse Crunch2WSommaire du match
2985Belleville Senators2Binghamton Devils3LXSommaire du match
3187Belleville Senators1Binghamton Devils3LSommaire du match
3389Binghamton Devils3Belleville Senators4WXSommaire du match
3591Binghamton Devils2Belleville Senators4WSommaire du match
3793Belleville Senators4Binghamton Devils3WSommaire du match
3995Binghamton Devils3Belleville Senators4WSommaire du match
4399Belleville Senators2Rockford IceHogs3LSommaire du match
44100Belleville Senators4Rockford IceHogs2WSommaire du match
45101Rockford IceHogs5Belleville Senators2LSommaire du match
46102Rockford IceHogs1Belleville Senators4WSommaire du match
47103Belleville Senators3Rockford IceHogs5LSommaire du match
48104Rockford IceHogs2Belleville Senators1LXSommaire du match



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 4,302,334$ 4,302,334$ 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$




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