Connexion

Belleville Senators
GP: 71 | W: 36 | L: 23 | OTL: 12 | P: 84
GF: 191 | GA: 181 | PP%: 27.11% | PK%: 66.67%
DG: Fredrik Laving | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #1138 vs Coachella Valley Firebirds
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Centre de jeu
Texas Stars
29-24-18, 76pts
1
FINAL
2 Belleville Senators
36-23-12, 84pts
Team Stats
L2SéquenceSOL1
13-13-10Fiche domicile19-9-7
16-11-8Fiche domicile17-14-5
4-4-2Derniers 10 matchs5-4-1
2.03Buts par match 2.69
2.41Buts contre par match 2.55
31.20%Pourcentage en avantage numérique27.11%
67.61%Pourcentage en désavantage numérique66.67%
Belleville Senators
36-23-12, 84pts
4
FINAL
5 Abbotsford Canucks
40-26-5, 85pts
Team Stats
SOL1SéquenceW4
19-9-7Fiche domicile19-12-4
17-14-5Fiche domicile21-14-1
5-4-1Derniers 10 matchs8-1-1
2.69Buts par match 2.62
2.55Buts contre par match 2.61
27.11%Pourcentage en avantage numérique31.33%
66.67%Pourcentage en désavantage numérique64.25%
Coachella Valley Firebirds
34-22-12, 80pts
Jour 141
Belleville Senators
36-23-12, 84pts
Statistiques d’équipe
W1SéquenceSOL1
21-9-6Fiche domicile19-9-7
13-13-6Fiche visiteur17-14-5
7-3-010 derniers matchs5-4-1
2.29Buts par match 2.69
2.43Buts contre par match 2.69
35.14%Pourcentage en avantage numérique27.11%
70.24%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Patric HornqvistButs
Patric Hornqvist
25
Passes
Ridly Greig
32
Patric HornqvistPoints
Patric Hornqvist
55
Plus/Moins
Louis Crevier
16
Victoires
Sebastian Cossa
15
Pourcentage d’arrêts
John Lethemon
0.925

Statistiques d’équipe
Buts pour
191
2.69 GFG
Tirs pour
2267
31.93 Avg
Pourcentage en avantage numérique
27.1%
45 GF
Début de zone offensive
37.7%
Buts contre
181
2.55 GAA
Tirs contre
2085
29.37 Avg
Pourcentage en désavantage numérique
66.7%%
56 GA
Début de la zone défensive
37.0%
Informations de l'équipe

Directeur généralFredrik Laving
EntraîneurD.J. Smith
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,763
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 60
Espoirs23


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
1Patric Hornqvist74X100.0071738275725962773163616225848959756403615,300,000$
2Ridly Greig (R)71XX100.008344837570637070607960642548486378630213864,000$
3Lane Pederson0X100.009192697172676764736261632557576180630261750,000$
4John Leonard0XX100.007567927368828263506162635647476080620251750,000$
5Rudolfs Balcers0X100.006341938069567359256171582564646479620261750,000$
6William Eklund (R)0XX100.006863778066666762816061595948486074600214895,000$
7Tristen Robins (R)0X100.007063927066778162785762605947476177600223797,500$
8Ryan Dzingel0XXX100.007470837870505055695349664669695380590311751,000$
9Spencer Smallman0X100.007773856378758053504756615547475781590272750,000$
10Jasper Weatherby0XX100.008081777482818949634746624546465458590251842,500$
11Beck Malenstyn (R)47XX100.008076826977748051654354625147475673580252762,500$
12Timur Ibragimov (R)0X100.007768997169484655504957635545455920570231813,333$
13Louis Crevier (R)46X100.0086848666877784452535396637474749836102221,063,541$
14Griffin Mendel2X100.008685856588677347253741664047475162600241750,000$
15Nathan Clurman (R)0X100.007876816877747548253940623847474977590251750,000$
16Artemi Knyazev (R)38X100.007367866969727852254941603947475251580222789,167$
17Grant Hutton0X100.008077866577636847253741644048475075580283750,000$
18Matt Kiersted0X100.006842917273538758255049672548485572580252953,125$
Rayé
1Jeffrey Viel0X100.006171376771707360505461585848486020570261750,000$
2Brandon Coe (R)0X100.007772896472708050504947624544445620560222850,833$
3Marc Johnstone (R)0X100.007267846567758251504850604844445719550271750,000$
4Kyle MacLean0X100.007071686371606255505154605144445720550241750,000$
5Raivis Ansons (R)0X100.0074718265716367485044466044444454205402131,055,208$
6Ozzy Wiesblatt (R)0X100.007065806365606254505053605044445720540213836,000$
7Jaydon Dureau (R)0X100.0072639467635355485044465944444453205302231,052,083$
8Adam Raska (R)0XX100.005763436763677249504646524444445120510222848,333$
9Ryan Merkley (R)0X100.006461707661758152254840573847475319560231863,333$
10Montana Onyebuchi (R)0X100.007082437082565948253942584044445120550231750,000$
11Luka Profaca (R)0X100.007069736769677344253439573744445020530211750,000$
MOYENNE D’ÉQUIPE100.00746979707266725446505161434949565158
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
1Sebastian Cossa (R)0100.00635552826754565351585546466877570211750,000$
2John Lethemon0100.00605553655859575554545645455043550271937,500$
Rayé
1Zach Sawchenko (R)0100.00505771704851505550503044445120520261750,000$
MOYENNE D’ÉQUIPE100.0058565972585554545254474545564755
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith40503090999050CAN471500,000$


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
1Patric HornqvistBelleville Senators (OTT)RW6525305581321007166256681369.77%21116017.8681018191012026932237.50%726422110.95211956434
2John LeonardBelleville Senators (OTT)LW/RW712323461089758774157509614.65%21122417.2541216131180001405244.68%473619010.7502438353
3Ridly GreigBelleville Senators (OTT)C/LW711332455462011582175601417.43%25121117.068715161170000243256.00%1006925000.7415211422
4Lane PedersonBelleville Senators (OTT)C711527421024517513410516151909.32%22116116.3741014121060116972057.33%8324016000.72061898050
5Joseph VelenoOttawa SenatorsC301419331212104270111387512.61%1168722.932462470002503255.68%7313717000.9629101352
6Rudolfs BalcersBelleville Senators (OTT)LW711318311606968191501216.81%27104514.72347638000003237.21%437019000.5900000325
7Tristen RobinsBelleville Senators (OTT)C711316297494560561254310210.40%1084811.95112231000000255.12%4103620000.6802243042
8Jonah GadjovichOttawa SenatorsLW62181129642827014452123348214.63%26100016.1353811871013602130.77%1042617000.58010141624214
9Ryan DzingelBelleville Senators (OTT)C/LW/RW71121426135545866612839719.38%2080811.39000010000012361.29%313919000.6400432213
10William EklundBelleville Senators (OTT)C/LW719918-5684098100195491264.62%24104514.73000140007572255.67%5645721000.3403341131
11Beck MalenstynBelleville Senators (OTT)LW/RW69125178107951365979234315.19%20102214.82336471000004262.79%43825000.3300469212
12Louis CrevierBelleville Senators (OTT)D56213151627322575745221233.85%72123121.99145490000183100%0436000.2400181215010
13Artemi KnyazevBelleville Senators (OTT)D57112138747055454214212.38%34104818.39000014011089000%0928000.2500563000
14Matt KierstedBelleville Senators (OTT)D71391272220531068224353.66%63148520.9232571190001114000%02449000.1601022101
15Nathan ClurmanBelleville Senators (OTT)D712911-714110586796828232.94%82145920.561346116000049000%0535000.1500849010
16Jasper WeatherbyBelleville Senators (OTT)C/LW51381121479562434610296.52%1060111.780330220111201052.36%424127000.3702559101
17Griffin MendelBelleville Senators (OTT)D6311011322618074886124271.64%69134421.34123199000059000%0446000.160061317000
18Grant HuttonBelleville Senators (OTT)D5601010161029058695118250%5099417.7600003000152000%0740000.2000756001
19Spencer SmallmanBelleville Senators (OTT)RW71358-41288086656413444.69%1890412.7400002000001036.67%30910000.1811934010
20Timur IbragimovBelleville Senators (OTT)LW281565422039233613172.78%433211.8900007000030136.11%108128000.3602121000
21Wyatt AamodtOttawa SenatorsD441340847051443918202.56%3085819.52101148000129000%0319000.0900365000
22Ryan MerkleyBelleville Senators (OTT)D4011-100322200%26215.550000000001000%002000.3200000000
23Nikolai KnyzhovOttawa SenatorsD2000100552210%14723.570000000003000%03300000000000
24Marc JohnstoneBelleville Senators (OTT)RW5000-475461130%48917.92000010000030060.00%53000024100000
25Jeffrey VielBelleville Senators (OTT)LW3000000614300%0155.03000000000000100.00%41000000000000
Statistiques d’équipe totales ou en moyenne13051842894731172483183516991448225169613518.17%6662169316.624568113105127133630937312153.58%3548578503120.44858124109134263531
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
1Sebastian CossaBelleville Senators (OTT)40151780.9032.822364201111146679210.808264031314
2John LethemonBelleville Senators (OTT)30000.9252.547100340210000040000
Statistiques d’équipe totales ou en moyenne43151780.9042.81243520114118670021264071314


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 Plafond 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 RaskaBelleville Senators (OTT)LW/RW222001-12-31Yes178 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm848,333$0$0$No848,333$--------No--------Lien / Lien NHL
Artemi KnyazevBelleville Senators (OTT)D222001-12-31Yes181 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm789,167$0$0$No789,167$--------No--------
Beck MalenstynBelleville Senators (OTT)LW/RW251998-12-31Yes200 Lbs6 ft3NoNoTrade2024-03-10NoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Brandon CoeBelleville Senators (OTT)RW222001-12-31Yes188 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm850,833$0$0$No850,833$--------No--------
Grant HuttonBelleville Senators (OTT)D281995-12-31No205 Lbs6 ft3NoNoFree AgentNoNo32024-01-01FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien / Lien NHL
Griffin MendelBelleville Senators (OTT)D241999-12-31No220 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jasper WeatherbyBelleville Senators (OTT)C/LW251998-12-31No216 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No------------------Lien / Lien NHL
Jaydon DureauBelleville Senators (OTT)LW222001-12-31Yes174 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,052,083$0$0$No1,052,083$1,052,083$-------NoNo-------Lien
Jeffrey VielBelleville Senators (OTT)LW261997-12-31No195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
John LeonardBelleville Senators (OTT)LW/RW251998-12-31No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
John LethemonBelleville Senators (OTT)G271996-12-31 17:55:00No190 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------
Kyle MacLeanBelleville Senators (OTT)LW241999-12-31No190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Lane PedersonBelleville Senators (OTT)C261997-12-31No190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Louis CrevierBelleville Senators (OTT)D222001-12-31Yes214 Lbs6 ft8NoNoN/ANoNo2FalseFalsePro & Farm1,063,541$0$0$No1,063,541$--------No--------Lien
Luka ProfacaBelleville Senators (OTT)D212002-12-31Yes181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Marc JohnstoneBelleville Senators (OTT)RW271996-12-31Yes181 Lbs6 ft0NoNoFree AgentNoNo12024-01-01FalseFalsePro & Farm750,000$0$0$No------------------Lien
Matt KierstedBelleville Senators (OTT)D251998-12-31No181 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm953,125$0$0$No953,125$--------No--------Lien / Lien NHL
Montana OnyebuchiBelleville Senators (OTT)D232000-12-31Yes220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Nathan ClurmanBelleville Senators (OTT)D251998-12-31Yes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Ozzy WiesblattBelleville Senators (OTT)RW212002-12-31Yes183 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm836,000$0$0$No836,000$836,000$-------NoNo-------
Patric Hornqvist (contrat à 1 volet)Belleville Senators (OTT)RW361987-12-31No189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm5,300,000$4,150,000$327,632$No------------------Lien / Lien NHL
Raivis AnsonsBelleville Senators (OTT)LW212002-12-31Yes191 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,055,208$0$0$No1,055,208$1,055,208$-------NoNo-------Lien
Ridly GreigBelleville Senators (OTT)C/LW212002-12-31Yes181 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm864,000$0$0$No864,000$864,000$-------NoNo-------
Rudolfs BalcersBelleville Senators (OTT)LW261997-12-31No175 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Ryan DzingelBelleville Senators (OTT)C/LW/RW311992-12-31No190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm751,000$0$0$No------------------Lien / Lien NHL
Ryan MerkleyBelleville Senators (OTT)D232000-12-31Yes168 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No------------------Lien / Lien NHL
Sebastian CossaBelleville Senators (OTT)G212002-12-31 19:21:18Yes209 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------
Spencer SmallmanBelleville Senators (OTT)RW271996-12-31No201 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien / Lien NHL
Timur IbragimovBelleville Senators (OTT)LW232000-12-31Yes183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm813,333$0$0$No------------------Lien / Lien NHL
Tristen RobinsBelleville Senators (OTT)C222001-12-31Yes176 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm797,500$0$0$No797,500$797,500$-------NoNo-------
William EklundBelleville Senators (OTT)C/LW212002-12-31Yes176 Lbs5 ft10NoNoN/ANoNo4FalseFalsePro & Farm895,000$0$0$No895,000$895,000$895,000$------NoNoNo------
Zach SawchenkoBelleville Senators (OTT)G261997-12-31Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3224.38191 Lbs6 ft11.69961,717$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ridly GreigJasper WeatherbyPatric Hornqvist30122
2Rudolfs BalcersLane PedersonJohn Leonard27122
3Beck MalenstynWilliam EklundSpencer Smallman23122
4Timur IbragimovTristen RobinsRyan Dzingel20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierGriffin Mendel35122
2Nathan ClurmanMatt Kiersted35122
3Artemi KnyazevGrant Hutton30122
4Artemi KnyazevGriffin Mendel0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ridly GreigJasper WeatherbyPatric Hornqvist50122
2Rudolfs BalcersLane PedersonJohn Leonard50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierGriffin Mendel50122
2Nathan ClurmanMatt Kiersted50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jasper WeatherbyPatric Hornqvist50122
2Lane PedersonJohn Leonard50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artemi KnyazevGrant Hutton50122
2Louis CrevierMatt Kiersted50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jasper Weatherby50122Artemi KnyazevGrant Hutton50122
2Patric Hornqvist50122Louis CrevierMatt Kiersted50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jasper WeatherbyPatric Hornqvist50122
2Ridly GreigLane Pederson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierGriffin Mendel50122
2Nathan ClurmanMatt Kiersted50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ridly GreigJasper WeatherbyPatric HornqvistLouis CrevierGriffin Mendel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ridly GreigJasper WeatherbyPatric HornqvistLouis CrevierGriffin Mendel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tristen Robins, Rudolfs Balcers, William EklundTristen Robins, Rudolfs BalcersWilliam Eklund
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Griffin Mendel, Grant Hutton, Nathan ClurmanLouis CrevierGrant Hutton, Nathan Clurman
Tirs de pénalité
Jasper Weatherby, Patric Hornqvist, Ridly Greig, Lane Pederson, William Eklund
Gardien
#1 : Sebastian Cossa, #2 : John Lethemon


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 Canucks320000011165110000004132100000175250.83311162701288865111036498577348672261417013430.77%8187.50%0785145354.03%768142653.86%48598049.49%150281014177071423688
2Bakersfield Condors3120000045-11010000013-22110000032120.33347110128886511936498577348680267566700.00%10370.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
3Bridgeport Islanders201000104401010000023-11000001021120.5004480028886511486498577348652144666300.00%30100.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
4Calgary Wranglers2010000125-31000000123-11010000002-210.2502460028886511466498577348664235844100.00%40100.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
5Charlotte Checkers220000001138110000005321100000060641.00011172801288865117364985773486521841465120.00%3233.33%1785145354.03%768142653.86%48598049.49%150281014177071423688
6Chicago Wolves21000001431110000002021000000123-130.7504711012888651152649857734863584052400.00%5260.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
7Cleveland Monsters440000001459220000008262200000063381.0001423370028886511115649857734861264469708337.50%70100.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
8Coachella Valley Firebirds11000000312000000000001100000031221.000358002888651127649857734862347230200.00%10100.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
9Colorado Eagles2000010146-21000010012-11000000134-120.50048120028886511666498577348656184468700.00%2150.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
10Grand Rapids Griffins2010010035-21000010023-11010000012-110.25036900288865116164985773486521375474125.00%5420.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
11Hartford Wolf Pack2020000047-31010000013-21010000034-100.000461010288865115164985773486521470434125.00%5260.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
12Henderson Silver Knights21001000862100010003211100000054141.0008132100288865116564985773486652769374125.00%7185.71%2785145354.03%768142653.86%48598049.49%150281014177071423688
13Hershey Bears210000101064100000105411100000052341.00010172700288865116564985773486602048434125.00%4175.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
14Iowa Wild2010001078-1100000104311010000035-220.500791600288865115364985773486672876424375.00%30100.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
15Laval Rocket32000100743210001004311100000031250.833711180028886511906498577348610624118678450.00%40100.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
16Lehigh Valley Phantoms2010001035-2100000102111010000014-320.50034700288865117464985773486691796412150.00%8362.50%0785145354.03%768142653.86%48598049.49%150281014177071423688
17Manitoba Moose2010001078-1100000105411010000024-220.5007121910288865116564985773486682373376116.67%4175.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
18Milwaukee Admirals2110000067-1110000005321010000014-320.5006915002888651165649857734866618131438450.00%8537.50%0785145354.03%768142653.86%48598049.49%150281014177071423688
19Ontario Reign2020000029-71010000016-51010000013-200.0002240028886511686498577348672236043200.00%5260.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
20Providence Bruins22000000963110000004311100000053241.00091322002888651165649857734866315685510440.00%4175.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
21Rochester Americans31100001910-12010000168-21100000032130.500914230028886511103649857734861183483628337.50%10550.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
22Rockford IceHogs22000000826110000003121100000051441.0008142200288865118764985773486472781387114.29%3166.67%0785145354.03%768142653.86%48598049.49%150281014177071423688
23San Diego Gulls210001006511000010023-11100000042230.7506111700288865118464985773486772666375120.00%3166.67%0785145354.03%768142653.86%48598049.49%150281014177071423688
24San Jose Barracuda2010100069-31010000015-41000100054120.500681400288865118064985773486612590509333.33%5420.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
25Springfield Thunderbirds22000000725110000005141100000021141.000710170028886511736498577348646209157200.00%3166.67%0785145354.03%768142653.86%48598049.49%150281014177071423688
26Syracuse Crunch31200000651110000004132020000024-220.3336915002888651184649857734866010121785120.00%13376.92%0785145354.03%768142653.86%48598049.49%150281014177071423688
27Texas Stars2110000046-2110000002111010000025-320.500481200288865116764985773486652252538225.00%6266.67%0785145354.03%768142653.86%48598049.49%150281014177071423688
28Toronto Marlies3010001157-22010001045-11000000112-130.500571200288865119064985773486952383555120.00%9188.89%0785145354.03%768142653.86%48598049.49%150281014177071423688
29Tucson Roadrunners3010100189-1201010005501000000134-130.50081321002888651198649857734861012870634250.00%5260.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
30Utica Comets30200010611-51010000015-42010001056-120.3336814002888651196649857734866517137746116.67%6516.67%0785145354.03%768142653.86%48598049.49%150281014177071423688
31Wilkes-Barre Scranton Penguins2010000136-31000000123-11010000013-210.250347002888651160649857734865019754011100.00%5260.00%0785145354.03%768142653.86%48598049.49%150281014177071423688
Total71262303478191181103512902453969063614140102595914840.59219129949024288865112267649857734862085654241916171664527.11%1685666.67%3785145354.03%768142653.86%48598049.49%150281014177071423688
_Since Last GM Reset71262303478191181103512902453969063614140102595914840.59219129949024288865112267649857734862085654241916171664527.11%1685666.67%3785145354.03%768142653.86%48598049.49%150281014177071423688
_Vs Conference381711001541098722198500132574611199600022524111490.645109163272122888651111906498577348610863151287867842630.95%922770.65%1785145354.03%768142653.86%48598049.49%150281014177071423688
_Vs Division19106001234847195300111232121053000122526-1280.737487312111288865115616498577348650915358142932825.00%431565.12%0785145354.03%768142653.86%48598049.49%150281014177071423688

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7184SOL1191299490226720856542419161724
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7126233478191181
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3512924539690
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36141410259591
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1664527.11%1685666.67%3
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
6498577348628886511
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
785145354.03%768142653.86%48598049.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
150281014177071423688


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
17Belleville Senators2Utica Comets4LSommaire du match
324Cleveland Monsters1Belleville Senators3WSommaire du match
538Rochester Americans3Belleville Senators2LSommaire du match
756Belleville Senators1Syracuse Crunch2LSommaire du match
862Belleville Senators3Cleveland Monsters1WSommaire du match
1076Belleville Senators2Bakersfield Condors0WSommaire du match
1292Tucson Roadrunners1Belleville Senators2WXSommaire du match
15118Toronto Marlies2Belleville Senators3WXXSommaire du match
17127Belleville Senators3Abbotsford Canucks0WSommaire du match
19145Laval Rocket1Belleville Senators3WSommaire du match
21162Belleville Senators1Toronto Marlies2LXXSommaire du match
24180Toronto Marlies3Belleville Senators1LSommaire du match
26199Belleville Senators5Providence Bruins3WSommaire du match
28214Belleville Senators1Bakersfield Condors2LSommaire du match
29223Hartford Wolf Pack3Belleville Senators1LSommaire du match
31243Belleville Senators6Charlotte Checkers0WSommaire du match
33255Chicago Wolves0Belleville Senators2WSommaire du match
36276Springfield Thunderbirds1Belleville Senators5WSommaire du match
37291Belleville Senators3Utica Comets2WXXSommaire du match
39305Rochester Americans5Belleville Senators4LXXSommaire du match
41324Belleville Senators3Coachella Valley Firebirds1WSommaire du match
43341Calgary Wranglers3Belleville Senators2LXXSommaire du match
46363Manitoba Moose4Belleville Senators5WXXSommaire du match
48375Belleville Senators3Tucson Roadrunners4LXXSommaire du match
50394Milwaukee Admirals3Belleville Senators5WSommaire du match
52410Belleville Senators3Cleveland Monsters2WSommaire du match
54427Lehigh Valley Phantoms1Belleville Senators2WXXSommaire du match
56445Belleville Senators4San Diego Gulls2WSommaire du match
58457Belleville Senators5Rockford IceHogs1WSommaire du match
59469Hershey Bears4Belleville Senators5WXXSommaire du match
62489Cleveland Monsters1Belleville Senators5WSommaire du match
64505Belleville Senators3Hartford Wolf Pack4LSommaire du match
66523Colorado Eagles2Belleville Senators1LXSommaire du match
68533Belleville Senators0Calgary Wranglers2LSommaire du match
70554Belleville Senators3Colorado Eagles4LXXSommaire du match
71561Belleville Senators2Bridgeport Islanders1WXXSommaire du match
73574Utica Comets5Belleville Senators1LSommaire du match
76597Charlotte Checkers3Belleville Senators5WSommaire du match
78613Belleville Senators5Henderson Silver Knights4WSommaire du match
79624Belleville Senators1Milwaukee Admirals4LSommaire du match
81639Ontario Reign6Belleville Senators1LSommaire du match
83656Belleville Senators5San Jose Barracuda4WXSommaire du match
84668Syracuse Crunch1Belleville Senators4WSommaire du match
86689Iowa Wild3Belleville Senators4WXXSommaire du match
88706Belleville Senators2Texas Stars5LSommaire du match
90721San Diego Gulls3Belleville Senators2LXSommaire du match
92739Belleville Senators5Hershey Bears2WSommaire du match
94753Providence Bruins3Belleville Senators4WSommaire du match
95770Belleville Senators2Chicago Wolves3LXXSommaire du match
97781Belleville Senators1Wilkes-Barre Scranton Penguins3LSommaire du match
99795Grand Rapids Griffins3Belleville Senators2LXSommaire du match
101820Laval Rocket2Belleville Senators1LXSommaire du match
103836Belleville Senators2Manitoba Moose4LSommaire du match
105850Abbotsford Canucks1Belleville Senators4WSommaire du match
106860Belleville Senators1Lehigh Valley Phantoms4LSommaire du match
108870Belleville Senators1Ontario Reign3LSommaire du match
109887Belleville Senators2Springfield Thunderbirds1WSommaire du match
111895Bridgeport Islanders3Belleville Senators2LSommaire du match
113919Tucson Roadrunners4Belleville Senators3LSommaire du match
116939Belleville Senators1Grand Rapids Griffins2LSommaire du match
118954Wilkes-Barre Scranton Penguins3Belleville Senators2LXXSommaire du match
120977Rockford IceHogs1Belleville Senators3WSommaire du match
121978Belleville Senators3Rochester Americans2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1241002Belleville Senators3Laval Rocket1WSommaire du match
1251017Belleville Senators3Iowa Wild5LSommaire du match
1261023Henderson Silver Knights2Belleville Senators3WXSommaire du match
1291050Bakersfield Condors3Belleville Senators1LSommaire du match
1321074Belleville Senators1Syracuse Crunch2LSommaire du match
1331084San Jose Barracuda5Belleville Senators1LSommaire du match
1371111Texas Stars1Belleville Senators2WSommaire du match
1381117Belleville Senators4Abbotsford Canucks5LXXSommaire du match
1411138Coachella Valley Firebirds-Belleville Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4920
Assistance63,19733,521
Assistance PCT90.28%95.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2763 - 92.11% 108,002$3,780,073$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,431,859$ 3,504,682$ 3,504,682$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,949,076$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
108,002$ 5 27,618$ 138,090$




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