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Connexion

Brawlers
GP: 35 | W: 15 | L: 17 | OTL: 3 | P: 33
GF: 199 | GA: 220 | PP%: 53.57% | PK%: 39.53%
DG: Hugues Blais | Morale : 47 | Moyenne d’équipe : 70
Prochains matchs #430 vs Monsters

Centre de jeu
Brawlers
15-17-3, 33pts
2
FINAL
9 Destroyers
32-4-0, 64pts
Team Stats
L4SéquenceSOW1
10-7-1Fiche domicile17-1-0
5-10-2Fiche domicile15-3-0
1-7-2Derniers 10 matchs10-0-0
5.69Buts par match 6.64
6.29Buts contre par match 3.19
53.57%Pourcentage en avantage numérique69.52%
39.53%Pourcentage en désavantage numérique61.54%
Prospects
19-16-1, 39pts
6
FINAL
4 Brawlers
15-17-3, 33pts
Team Stats
W2SéquenceL4
11-6-1Fiche domicile10-7-1
8-10-0Fiche domicile5-10-2
4-5-1Derniers 10 matchs1-7-2
5.31Buts par match 5.69
5.83Buts contre par match 6.29
44.22%Pourcentage en avantage numérique53.57%
45.22%Pourcentage en désavantage numérique39.53%
Brawlers
15-17-3, 33pts
Jour 70
Monsters
15-17-3, 33pts
Statistiques d’équipe
L4SéquenceW2
10-7-1Fiche domicile8-8-1
5-10-2Fiche visiteur7-9-2
1-7-210 derniers matchs3-6-1
5.69Buts par match 5.09
6.29Buts contre par match 5.09
53.57%Pourcentage en avantage numérique64.71%
39.53%Pourcentage en désavantage numérique45.36%
Brawlers
15-17-3, 33pts
Jour 71
Patriotes
16-15-5, 37pts
Statistiques d’équipe
L4SéquenceSOL2
10-7-1Fiche domicile10-6-2
5-10-2Fiche visiteur6-9-3
1-7-210 derniers matchs6-1-3
5.69Buts par match 5.14
6.29Buts contre par match 5.14
53.57%Pourcentage en avantage numérique45.99%
39.53%Pourcentage en désavantage numérique49.40%
Les Restants
19-15-1, 39pts
Jour 73
Brawlers
15-17-3, 33pts
Statistiques d’équipe
L3SéquenceL4
10-7-0Fiche domicile10-7-1
9-8-1Fiche visiteur5-10-2
2-8-010 derniers matchs1-7-2
5.74Buts par match 5.69
5.83Buts contre par match 5.69
61.11%Pourcentage en avantage numérique53.57%
50.82%Pourcentage en désavantage numérique39.53%
Meneurs d'équipe
Buts
Luke Glendening
42
Passes
Luke Glendening
55
Points
Luke Glendening
97
Plus/Moins
Victor Olofsson
12

Statistiques d’équipe
Buts pour
199
5.69 GFG
Tirs pour
1280
36.57 Avg
Pourcentage en avantage numérique
53.6%
60 GF
Début de zone offensive
32.7%
Buts contre
220
6.29 GAA
Tirs contre
1199
34.26 Avg
Pourcentage en désavantage numérique
39.5%%
78 GA
Début de la zone défensive
27.4%
Informations de l'équipe

Directeur généralHugues Blais
EntraîneurDavid Quinn
DivisionRichard
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro8
Équipe Mineure18
Limite contact 26 / 55
Espoirs24


Historique d'équipe

Saison actuelle15-17-3 (33PTS)
Historique145-200-17 (0.401%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)4 - 6 (0.400%)
Coupe Stanley0


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
1Cole PerfettiXX100.006854968976757877527480755670740657202311,658,333$
2Luke GlendeningXX100.0086649080857388658661698450868105770N0362950,505$
3Anthony Richard (R)X100.0094599581807140695070687550656804168N0281950,505$
4Victor OlofssonX100.006952988275735669506870715572760566702912,000,009$
5Josh Mahura (R)X100.0083608691817440705077626850717405969N0271925,000$
6Arber Xhekaj (R)X100.00949061779978496850686766506873032680241828,333$
Rayé
1Mark JankowskiX100.0059679479837440756573778154747601971N0301900,009$
MOYENNE D’ÉQUIPE100.0079648983837456705870707452727504769
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
1Spencer Martin100.0078757386767874757274706870063720301900,000$
Rayé
MOYENNE D’ÉQUIPE100.007875738676787475727470687006372
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn78676992767099USA585605,000$


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
1Luke GlendeningBrawlers (WHA)C/RW35425597017542692819517014.95%2978522.431820384773000004171.79%7415846052.4700001921
2Victor OlofssonBrawlers (WHA)LW35323163120027282007413016.00%1361817.6677141935000002152.94%344729022.0400000246
3Arber XhekajBrawlers (WHA)D161536515200212316354739.20%3242226.431113242936011333100%13226012.4100000042
Statistiques d’équipe totales ou en moyenne8689122211173759012064422337313.82%74182621.23364076951450113347270.88%776137101082.310000111109
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 Pays 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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Anthony RichardBrawlers (WHA)C281996-12-20QUÉYes185 Lbs5 ft10YesNoFree AgentNoNo12025-04-24FalseFalsePro & Farm950,505$504,350$0$0$No---------------------------
Arber XhekajBrawlers (WHA)D242001-01-30CANYes240 Lbs6 ft4NoNoTrade2024-11-05NoNo1FalseFalsePro & Farm828,333$439,524$0$0$No---------------------------
Cole PerfettiBrawlers (WHA)C/LW232002-01-01CANNo185 Lbs5 ft11NoNoTrade2025-06-27NoNo1FalseFalsePro & Farm1,658,333$879,932$0$0$No---------------------------
Josh MahuraBrawlers (WHA)D271998-05-05CANYes185 Lbs6 ft0YesNoFree Agent2025-04-02NoNo12025-05-20FalseFalsePro & Farm925,000$490,816$0$0$No---------------------------
Luke GlendeningBrawlers (WHA)C/RW361989-04-28USANo194 Lbs5 ft11YesNoFree Agent2024-06-02NoNo22025-05-02FalseFalsePro & Farm950,505$504,350$0$0$No950,505$--------950,505$--------Yes--------Lien
Mark JankowskiBrawlers (WHA)C301994-09-13CANNo212 Lbs6 ft4YesNoFree AgentNoYes12025-05-12FalseFalsePro & Farm900,009$477,556$0$0$No---------------------------Lien
Spencer MartinBrawlers (WHA)G301995-06-08CANNo191 Lbs6 ft3NoNoFree AgentNoNo12024-03-15FalseFalsePro & Farm900,000$477,551$0$0$No---------------------------
Victor OlofssonBrawlers (WHA)LW291995-07-18SUÈNo183 Lbs5 ft11NoNoFree AgentNoNo12024-04-01FalseFalsePro & Farm2,000,009$1,061,229$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
828.38197 Lbs6 ft11.131,139,087$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Luke Glendening40122
2Victor Olofsson30122
320122
4Luke Glendening10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Luke Glendening60122
2Victor Olofsson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Luke Glendening40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Luke Glendening40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Luke Glendening
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Luke Glendening
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Olofsson, Luke Glendening, Victor Olofsson, Luke Glendening
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , Luke Glendening, , Victor Olofsson
Gardien
#1 : , #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
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
1Bolt1100000012661100000012660000000000021.0001222340040847323837443746363110648562.50%2150.00%132866249.55%23755542.70%44180554.78%733452791316579265
2Destroyers403001001126-1500000000000403001001126-1510.125112132004084732149374437463615259246315746.67%12833.33%032866249.55%23755542.70%44180554.78%733452791316579265
3Distraction210001001110121000100111010000000000030.750111930004084732503744374636582042744100.00%220.00%032866249.55%23755542.70%44180554.78%733452791316579265
4Dynamos404000001529-1420200000714-720200000815-700.000152944004084732151374437463617759494311763.64%171135.29%232866249.55%23755542.70%44180554.78%733452791316579265
5Falcons20200000816-80000000000020200000816-800.000813210040847328037443746367130123112541.67%660.00%032866249.55%23755542.70%44180554.78%733452791316579265
6Intrepides1100000011921100000011920000000000021.00011213200408473246374437463643916113133.33%8537.50%032866249.55%23755542.70%44180554.78%733452791316579265
7L'Euphorie20200000413-920200000413-90000000000000.0004711004084732753744374636712716317114.29%78-14.29%032866249.55%23755542.70%44180554.78%733452791316579265
8Les Restants201010001010020101000101000000000000020.500101525004084732673744374636702812256583.33%6433.33%032866249.55%23755542.70%44180554.78%733452791316579265
9Monkeys 1010000068-2000000000001010000068-200.0006111700408473233374437463646161010100.00%5420.00%032866249.55%23755542.70%44180554.78%733452791316579265
10Monster10001000651000000000001000100065121.00061218004084732273744374636261010112150.00%50100.00%132866249.55%23755542.70%44180554.78%733452791316579265
11Monsters2110000014131110000009631010000057-220.500142741004084732783744374636832112306466.67%660.00%032866249.55%23755542.70%44180554.78%733452791316579265
12Patriotes5310010034340211000001015-5320001002419570.700345993004084732227374437463614953536211654.55%241058.33%132866249.55%23755542.70%44180554.78%733452791316579265
13Prospects1010000046-21010000046-20000000000000.00047110040847323437443746362810101111100.00%5260.00%032866249.55%23755542.70%44180554.78%733452791316579265
14Senators550000003723143300000023158220000001486101.0003765102004084732162374437463613641287119947.37%14564.29%232866249.55%23755542.70%44180554.78%733452791316579265
15Warriors1100000013581100000013580000000000021.00013223500408473248374437463627721125480.00%5260.00%032866249.55%23755542.70%44180554.78%733452791316579265
16Youngblood1010000037-4000000000001010000037-400.00036900408473215374437463631101012100.00%5420.00%132866249.55%23755542.70%44180554.78%733452791316579265
Total35131702300199220-211897011001141095174100120085111-26330.4711993565550040847321280374437463611994102934541126053.57%1297839.53%832866249.55%23755542.70%44180554.78%733452791316579265
_Since Last GM Reset35131702300199220-211897011001141095174100120085111-26330.4711993565550040847321280374437463611994102934541126053.57%1297839.53%832866249.55%23755542.70%44180554.78%733452791316579265
_Vs Conference26101301200148164-16116401000726571549002007699-23240.4621482624100040847329953744374636911314221347864754.65%955641.05%532866249.55%23755542.70%44180554.78%733452791316579265
_Vs Division59900200373612530000023158346002001421-7202.00037681050040847321913744374636171594457251248.00%211242.86%232866249.55%23755542.70%44180554.78%733452791316579265

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3533L41993565551280119941029345400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3513172300199220
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
18971100114109
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
17410120085111
Derniers 10 matchs
WLOTWOTL SOWSOL
170200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1126053.57%1297839.53%8
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
37443746364084732
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
32866249.55%23755542.70%44180554.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
733452791316579265


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
18Brawlers3Dynamos9LSommaire du match
213Senators6Brawlers8WSommaire du match
427Brawlers9Patriotes5WSommaire du match
637Les Restants4Brawlers3LSommaire du match
857Dynamos8Brawlers5LSommaire du match
1064Brawlers7Patriotes5WSommaire du match
1279Brawlers5Falcons8LSommaire du match
1485Senators4Brawlers7WSommaire du match
16100Les Restants6Brawlers7WXSommaire du match
18114Brawlers10Senators6WSommaire du match
20123Brawlers2Destroyers4LSommaire du match
22133Warriors5Brawlers13WSommaire du match
24149Brawlers8Patriotes9LXSommaire du match
26165Patriotes6Brawlers8WSommaire du match
28174L'Euphorie4Brawlers2LSommaire du match
30191Brawlers5Monsters7LSommaire du match
32196Monsters6Brawlers9WSommaire du match
34205Brawlers6Monkeys 8LSommaire du match
36221Intrepides9Brawlers11WSommaire du match
38237Brawlers4Senators2WSommaire du match
40243Brawlers6Monster5WXSommaire du match
42257Senators5Brawlers8WSommaire du match
45274Bolt6Brawlers12WSommaire du match
46283Brawlers5Dynamos6LSommaire du match
48294Brawlers3Youngblood7LSommaire du match
50303Distraction7Brawlers6LXSommaire du match
52317Dynamos6Brawlers2LSommaire du match
54335Patriotes9Brawlers2LSommaire du match
56340Brawlers3Falcons8LSommaire du match
58357Brawlers3Destroyers4LXSommaire du match
60365Distraction3Brawlers5WSommaire du match
62379Brawlers4Destroyers9LSommaire du match
64390L'Euphorie9Brawlers2LSommaire du match
65402Brawlers2Destroyers9LSommaire du match
67412Prospects6Brawlers4LSommaire du match
70430Brawlers-Monsters-
71439Brawlers-Patriotes-
73452Les Restants-Brawlers-
75463Brawlers-Youngblood-
77478Vikings-Brawlers-
80491Falcons-Brawlers-
81503Brawlers-Falcons-
82514Destroyers-Brawlers-
84530Brawlers-Wildcats-
85539Destroyers-Brawlers-
87557Senators-Brawlers-
89565Brawlers-Shokers-
91578Falcons-Brawlers-
92588Brawlers-Monster-
93597Brawlers-Patriotes-
95608Brawlers-Extreme-
97620Prospects-Brawlers-
99635Monster-Brawlers-
100648Warriors-Brawlers-
101658Brawlers-Senators-
102672Dynamos-Brawlers-
104682Brawlers-Guerriers du Nord-
106695Brawlers-Warriors-
108705Destroyers-Brawlers-
109716Brawlers-Dynamos-
110727Brawlers-Patriotes-
112737L'Euphorie-Brawlers-
114751Warriors-Brawlers-
115764Brawlers-Dynamos-
116774Brawlers-Shokers-
118783Guerriers du Nord-Brawlers-
119797Brawlers-Monsters-
120807Brawlers-Les Restants-
122815Monkeys -Brawlers-
123830Les Restants-Brawlers-
125846Patriotes-Brawlers-
127858Brawlers-Vikings-
128861Brawlers-Falcons-
129875Sharks-Brawlers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
131894Monkeys -Brawlers-
133903Brawlers-Monkeys -
135918Monsters-Brawlers-
136927Brawlers-Prospects-
139947Monsters-Brawlers-
141959Brawlers-National-
144969Guerriers du Nord-Brawlers-
145983Brawlers-Vikings-



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
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
612,419$ 911,268$ 911,268$ 605,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 328,435$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 78 10,315$ 804,570$




Brawlers 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
1Miles Wood70518613740861375430116.94%28142520.361934534000005054.46%21.9200
2Jesper Froden425159110910506228517.89%4393322.232820484114564173.33%52.3600
3Luke Glendening35425597017426928114.95%2978522.431820384700004171.79%52.4700
4Danton Heinen21462773275242221121.80%1150524.07117181330394252.00%72.8900
5Josh Leivo25343771350263716520.61%2054821.95109191601105164.08%62.5900

Brawlers 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
1Kaapo Kahkonen1817100.8993.18105600565552937000
2Spencer Martin1611500.8923.4193400534912380000
3David Rittich64100.9352.233230112184992000

Brawlers 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
Saison régulière
2020823937015004974934412017004002542431141192001100243250-78549789513920077210209130998711117110922904936606139226616361.28%27915943.01%8617136145.33%586131444.60%893198544.99%1775108818256951324651
202182165905110335549-21441112801010169251-824153104100166298-1324533562495901591291417190349063577221287895869211621846635.87%33019341.52%937698938.02%497134536.95%707188437.53%153387119887971407623
202282314105500443464-2141221502200248205434192603300195259-6477443800124301621931835234263181089472590845663116825913752.90%30515748.52%20525116744.99%549129542.39%836185944.97%167998318617561385651
202382284604400320421-10141152201300158204-4641132403100162217-556832060492400431231504191648464277911245584566412382458133.06%30914254.05%16497111544.57%567137241.33%767174843.88%162890618847871423673
202435131702300199220-211897011001141095174100120085111-26331993565550040847321280374437463611994102934541126053.57%1297839.53%832866249.55%23755542.70%44180554.78%733452791316579265
Total Saison régulière363127200017181017942147-35318277890510109431012-69181501110128008511135-2843081794327950730228173975619105402850364140174712026399429185414106650747.56%135272946.08%612343529444.26%2436588141.42%3644828144.00%735043028352335361202864
Séries éliminatoires
20201046000003850-12523000001518-3523000002332-9838731110031519130994109979299895014226934.62%25868.00%15215433.77%3811034.55%7019436.08%2101252189317376
Total Séries éliminatoires1046000003850-12523000001518-3523000002332-9838731110031519130994109979299895014226934.62%25868.00%15215433.77%3811034.55%7019436.08%2101252189317376

Brawlers 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

Brawlers 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