Brampton Battalion

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Dale Racine | Morale : 1 | Moyenne d'Équipe : 58
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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 SP
1Garrett WilsonX100.008869886574488657386156786357576443620
2Sonny MilanoXXX100.007573797473656566506666646445466767620
3Michael McLeod (R)X100.008576827972637660786255622545456349610
4Nathan GerbeXX100.006358737358626267506560655768696452610
5Carter Camper (R)X100.007062886462808465806462625944446619610
6Erik CondraXX100.006966756566808565506460645752526440610
7Kurtis GabrielX100.009999356580486558255959682546466382590
8Cameron HughesX100.006760846560676962785661635854546257590
9John McCarron (R)XX100.008180836780596059745658665544446351590
10Colton BeckX100.007266856266828955504658635553536158580
11Martin Kaut (R)X100.007267836567646756505157615444446056560
12Henrik SamuelssonXX100.007980776480687449504646644450505520550
13Zach TrotmanX100.008045907180676363254847662555555953620
14Josh BrownX100.008799786288628060254448662550505858620
15Michael KaplaX100.007973926573758251254740633844445552590
16Cam Dineen (R)X100.007566966866707747253741603944445350570
17Jeremy RoyX100.007468896768575951254343624147475452560
18Thomas Gregoire (R)X100.007163896963606350254341593944445324550
Rayé
1Austin Poganski (R)X100.008075936575676959505954665144446154590
2Will Pelletier (R)X100.006759866459687157505357595444446041560
3Linus Olund (R)X100.007668956868677250634747624544445620550
4Vincent ArseneauXX100.008084726684525352504158645544445820550
5Hunter Fejes (R)X100.007571845971707648504446614444445420530
6Duncan SiemensX100.007279566579657046253540613852535150570
7Matt Abt (R)X100.007371786271667246253839593744445120550
MOYENNE D'ÉQUIPE100.00767181667165725645515264464848594458
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 SP
1Antti Niemi100.00565255806348435858559070745533580
Rayé
MOYENNE D'ÉQUIPE100.0056525580634843585855907074553358
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Barr47537348454652CAN58160,000$


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
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Antti NiemiBrampton Battalion (EDM)G341983-08-28No209 Lbs6 ft2YesNoNo1Pro & Farm500,000$0$0$NoLien
Austin PoganskiBrampton Battalion (EDM)RW221996-02-16Yes201 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Cam DineenBrampton Battalion (EDM)D201998-06-19Yes183 Lbs5 ft11NoNoNo3Pro & Farm745,000$0$0$No745,000$745,000$Lien
Cameron HughesBrampton Battalion (EDM)C211996-10-09No161 Lbs5 ft11NoNoNo2Pro & Farm792,500$0$0$No792,500$Lien
Carter CamperBrampton Battalion (EDM)C291988-07-06Yes176 Lbs5 ft9YesNoNo1Pro & Farm500,000$0$0$NoLien
Colton BeckBrampton Battalion (EDM)LW281990-06-10No187 Lbs5 ft10YesNoNo1Pro & Farm500,000$0$0$NoLien
Duncan SiemensBrampton Battalion (EDM)D241993-09-07No210 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien
Erik CondraBrampton Battalion (EDM)LW/RW311986-08-06No183 Lbs5 ft11NoNoNo1Pro & Farm770,000$0$0$NoLien
Garrett WilsonBrampton Battalion (EDM)LW271991-03-16No199 Lbs6 ft2NoNoNo1Pro & Farm725,000$0$0$NoLien
Henrik SamuelssonBrampton Battalion (EDM)C/RW241994-02-07No219 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Hunter FejesBrampton Battalion (EDM)LW241994-05-31Yes190 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$NoLien
Jeremy RoyBrampton Battalion (EDM)D211997-05-14No185 Lbs6 ft0NoNoNo2Pro & Farm827,500$0$0$No827,500$Lien
John McCarronBrampton Battalion (EDM)C/RW261992-04-16Yes218 Lbs6 ft3YesNoNo1Pro & Farm500,000$0$0$NoLien
Josh BrownBrampton Battalion (EDM)D241994-01-21No225 Lbs6 ft5NoNoNo1Pro & Farm675,000$0$0$NoLien
Kurtis GabrielBrampton Battalion (EDM)RW251993-04-20No200 Lbs6 ft4YesNoNo1Pro & Farm600,000$0$0$NoLien
Linus OlundBrampton Battalion (EDM)C211997-06-05Yes185 Lbs6 ft0NoNoNo3Pro & Farm775,833$0$0$No775,833$775,833$Lien
Martin KautBrampton Battalion (EDM)RW181999-10-02Yes176 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Matt AbtBrampton Battalion (EDM)D241993-07-25Yes181 Lbs6 ft4YesNoNo1Pro & Farm500,000$0$0$NoLien
Michael KaplaBrampton Battalion (EDM)D231994-09-19No200 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien
Michael McLeodBrampton Battalion (EDM)C201998-02-03Yes187 Lbs6 ft2NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Lien
Nathan GerbeBrampton Battalion (EDM)LW/RW301987-07-24No178 Lbs5 ft5NoNoNo1Pro & Farm675,000$0$0$NoLien
Sonny MilanoBrampton Battalion (EDM)C/LW/RW221996-05-11No195 Lbs6 ft2NoNoNo1Pro & Farm874,125$0$0$NoLien
Thomas GregoireBrampton Battalion (EDM)D191998-07-15Yes170 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$NoLien
Vincent ArseneauBrampton Battalion (EDM)LW/RW261992-03-26No231 Lbs6 ft2YesNoNo1Pro & Farm500,000$0$0$NoLien
Will PelletierBrampton Battalion (EDM)LW251992-12-14Yes172 Lbs5 ft7YesNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Zach TrotmanBrampton Battalion (EDM)D271990-08-26No217 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2624.42194 Lbs6 ft11.50678,268$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Garrett WilsonSonny MilanoNathan Gerbe40122
2Erik CondraCarter CamperKurtis Gabriel30122
3Colton BeckMichael McLeodJohn McCarron20122
4Garrett WilsonCameron HughesMartin Kaut10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Josh BrownZach Trotman40122
2Michael KaplaCam Dineen30122
3Jeremy RoyThomas Gregoire20122
4Josh BrownZach Trotman10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Garrett WilsonSonny MilanoNathan Gerbe60122
2Erik CondraCarter CamperKurtis Gabriel40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Josh BrownZach Trotman60122
2Michael KaplaCam Dineen40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Garrett WilsonSonny Milano60122
2Carter CamperMichael McLeod40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Josh BrownZach Trotman60122
2Michael KaplaCam Dineen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Garrett Wilson60122Josh BrownZach Trotman60122
2Sonny Milano40122Michael KaplaCam Dineen40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Garrett WilsonSonny Milano60122
2Carter CamperMichael McLeod40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Josh BrownZach Trotman60122
2Michael KaplaCam Dineen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Garrett WilsonSonny MilanoNathan GerbeJosh BrownZach Trotman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Garrett WilsonSonny MilanoNathan GerbeJosh BrownZach Trotman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Henrik Samuelsson, John McCarron, Cameron HughesHenrik Samuelsson, John McCarronCameron Hughes
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jeremy Roy, Thomas Gregoire, Michael KaplaJeremy RoyThomas Gregoire, Michael Kapla
Tirs de Pénalité
Garrett Wilson, Sonny Milano, Carter Camper, Michael McLeod, Nathan Gerbe
Gardien
#1 : Antti Niemi, #2 :


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
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,763,496$ 1,763,496$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
20168233320744243542411411917040102282121641141503432207212-566435752118710861851531333408891269115053303510502786152525110843.03%29210863.01%16872196544.38%883194145.49%756172243.90%168198317728111509674
2017823927026444253923341249021322141744041151800512211218-77842569111163092168159103229927116510927130149911810144824012150.42%29610265.54%10788186242.32%766185941.20%726162444.70%158787718278281563708
201882235200223342485-14341122600003164238-7441112600220178247-694634259093200891221297288087810079832929951029170715341878444.92%2429660.33%6678164541.22%600155738.54%627155940.22%152879918068241612748
201982244602640416502-8641112301510221254-3341132301130195248-5348416703111920110167133932941086111110813030061001214416082358737.02%24910757.03%5787185142.52%654156841.71%714173141.25%1719102117397811493689
Total Saison Régulière3281191570111814916181803-185164667507655827878-511645382041294791925-1342381618273643546037764257439127433780455243061831205040718447611591340043.81%107941361.72%373125732342.67%2903692541.92%2823663642.54%651736817146324561772820