Bruins

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Steve Gagné | Morale : 50 | Moyenne d'Équipe : 61
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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
1Sam MileticX100.006236916174898360686356595863626385620
2Carter CamperX100.005036906165939160706256555879715464610
3Kevin RooneyX100.006843905978796658735657715971775127610
4Connor BunnamanX100.006536925979928858605558605861636488610
5Michael CarconeX100.005038856163928860655959546065636285600
6Liam O'BrienX100.006843715980949556585453565569656061600
7Phillip Di GiuseppeXX100.007938875973736258546057565871667267590
8Giovanni FioreXX100.006036925675908555585354575265635488590
9Zach SenyshynX100.005635935776827156535860575663628471590
10Zac RinaldoXX100.009452696069605058535459625777704062590
11Cameron HughesX100.005337875954908458615756525765636262580
12Anthony RichardXXX100.005435935863787257615956545865636185580
13Slater KoekkoekX100.007339846579815063306462715369658385650
14Carson SoucyX100.007540795592939054305552594569655561640
15William BorgenX100.006836905883897257305453594565636285620
16Gustav BourammanX100.005936925473787253305251555263626663580
17Luke GreenX100.006039825575716854305452544561636488580
Rayé
1Curtis McKenzieX100.006743726181949260686157605975685720630
2Frederick GaudreauXX100.005635946372646862706364666271674329620
3Nathan GerbeXXX100.005239816260847861706356545980795384610
4Jack KopackaX100.006535945980827458615654575561636420590
5Steven LorentzX100.007138845788797356585552595465636221590
6Shawn O'DonnellX100.006140805476908553525152545379715487580
7Spencer SmallmanX100.006340805977726858696252575465636220580
8Yannick VeilleuxXXX100.006441765479898353545152555371665921570
9Joe MorrowX100.007850806574765463307162645673676919640
10Nate ProsserX100.006636885981746358306056744982733913640
11Brian StraitX100.006344645279778052305857605580675120600
MOYENNE D'ÉQUIPE100.00643984597582755753585659556966605660
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
1Christopher Gibson100.00786866827776787776787773776386740
2Callum Booth100.00706664836968706968706963677386680
Rayé
1Jeremy Smith100.00747876707372747372747378844320710
MOYENNE D'ÉQUIPE100.0074716978737274737274737176606471
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight75717977747077USA492100,000$


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
Anthony RichardBruins (Bos)C/LW/RW221996-12-20No163 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$NoLien
Brian StraitBruins (Bos)D311988-01-04No206 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Callum BoothBruins (Bos)G221997-05-21No184 Lbs6 ft4NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Cameron HughesBruins (Bos)C221996-10-06No160 Lbs5 ft1NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Carson SoucyBruins (Bos)D241994-07-27No211 Lbs6 ft5NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Carter CamperBruins (Bos)C301988-07-06No176 Lbs5 ft9NoNoNo2Pro & Farm311,002$0$0$No311,002$Lien
Christopher GibsonBruins (Bos)G261992-12-27No207 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Connor BunnamanBruins (Bos)C211998-04-16No207 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Curtis McKenzieBruins (Bos)LW281991-02-22No205 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
Frederick GaudreauBruins (Bos)C/LW261993-05-01No179 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Giovanni FioreBruins (Bos)LW/RW221996-08-13No188 Lbs6 ft1NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Gustav BourammanBruins (Bos)D221997-01-24No194 Lbs6 ft0NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Jack KopackaBruins (Bos)LW211998-03-05No197 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Jeremy SmithBruins (Bos)G301989-04-13No177 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Joe MorrowBruins (Bos)D261992-12-09No196 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Kevin RooneyBruins (Bos)C261993-05-21No190 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Liam O'BrienBruins (Bos)LW241994-07-29No215 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Luke GreenBruins (Bos)D211998-01-12No188 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Michael CarconeBruins (Bos)LW231996-05-19No170 Lbs5 ft9NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Nate ProsserBruins (Bos)D331986-05-07No201 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Nathan GerbeBruins (Bos)C/LW/RW311987-07-24No176 Lbs5 ft4NoNoNo0Pro & Farm0$0$NoLien
Phillip Di GiuseppeBruins (Bos)LW/RW251993-10-09No192 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Sam MileticBruins (Bos)LW221997-05-04No197 Lbs6 ft0NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Shawn O'DonnellBruins (Bos)RW311988-05-28No192 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Slater KoekkoekBruins (Bos)D251994-02-18No193 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Spencer SmallmanBruins (Bos)RW221996-09-09No198 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Steven LorentzBruins (Bos)LW231996-04-13No206 Lbs6 ft4NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
William BorgenBruins (Bos)D221996-12-19No196 Lbs6 ft3NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Yannick VeilleuxBruins (Bos)C/LW/RW261993-02-22No195 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$NoLien
Zac RinaldoBruins (Bos)LW/RW291990-06-15No192 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Zach SenyshynBruins (Bos)RW221997-03-30No192 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3125.10192 Lbs6 ft02.06329,387$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sam MileticKevin Rooney40122
2Liam O'BrienCarter CamperPhillip Di Giuseppe30122
3Michael CarconeConnor BunnamanGiovanni Fiore20122
4Zac RinaldoCameron Hughes10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekCarson Soucy40122
2William BorgenLuke Green30122
3Gustav BourammanSlater Koekkoek20122
4Carson SoucyWilliam Borgen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sam MileticKevin Rooney60122
2Liam O'BrienCarter CamperPhillip Di Giuseppe40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekCarson Soucy60122
2William BorgenLuke Green40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sam MileticKevin Rooney60122
2Carter Camper40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekCarson Soucy60122
2William BorgenLuke Green40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sam Miletic60122Slater KoekkoekCarson Soucy60122
2Kevin Rooney40122William BorgenLuke Green40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sam MileticKevin Rooney60122
2Carter Camper40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekCarson Soucy60122
2William BorgenLuke Green40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sam MileticKevin RooneySlater KoekkoekCarson Soucy
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sam MileticKevin RooneySlater KoekkoekCarson Soucy
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anthony Richard, Connor Bunnaman, Michael CarconeAnthony Richard, Connor BunnamanMichael Carcone
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gustav Bouramman, Luke Green, Slater KoekkoekGustav BourammanLuke Green, Slater Koekkoek
Tirs de Pénalité
Sam Miletic, Kevin Rooney, Carter Camper, , Connor Bunnaman
Gardien
#1 : Callum Booth, #2 : Christopher Gibson


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
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 102,110$ 21,000$ 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
Séries
144040000049-52020000024-22020000025-304812102200116392839101032456722613.85%22386.36%07715649.36%7314251.41%366456.25%10371104325325
Total Séries4040000049-52020000024-22020000025-304812102200116392839101032456722613.85%22386.36%07715649.36%7314251.41%366456.25%10371104325325