Bruins

GP: 10 | W: 9 | L: 0 | OTL: 1 | P: 19
GF: 41 | GA: 20 | PP%: 21.82% | PK%: 90.24%
DG: Steve Gagné | Morale : 62 | Moyenne d'Équipe : 62
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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
1Chris WagnerXXX100.009458776374768962746163786175695155660
2Antoine RousselXX100.008059546572757864567063726578713539650
3Tim SchallerXXX100.008142836481687063736162786277693666650
4Tom KuhnhacklXX100.008336916180705959536258815773675255630
5Frederick GaudreauXX100.005635946372646862706364666271674365620
6Carter CamperX100.005036906165939160706256555879715465610
7Dmytro TimashovXX100.005438856461949365586254536566626365610
8Connor Bunnaman (R)X100.006536925979928858605558605861636465610
9Sam MileticX100.006236916174898360686356595863626365610
10Michael CarconeX100.005038856163928860655959546065636265600
11Giovanni FioreXX100.006036925675908555585354575265635465590
12Zac RinaldoXX100.009452696069605058535459625777704065590
13Anthony RichardXXX100.005435935863787257615956545865636165580
14Shawn O'Donnell (R)X100.006140805476908553525152545379715465580
15Nate ProsserX100.006636885981746358306056744982733965650
16Zach WhitecloudX100.006838855682949555305751594565636265630
17William Borgen (R)X100.006836905883897257305453594565636248620
18Luke Green (R)X100.006039825575716854305452544561636465570
Rayé
1Curtis McKenzieX100.006743726181949260686157605975685740630
2Liam O'BrienX100.006843715980949556585453565569656062600
3Jack Kopacka (R)X100.006535945980827458615654575561636440590
4Spencer Smallman (R)X100.006340805977726858696252575465636263590
5Steven LorentzX100.007138845788797356585552595465636240590
6Yannick VeilleuxXXX100.006441765479898353545152555371665940580
7Carson SoucyX100.007540795592939054305552594569655540640
8Brian StraitX100.006344645279778052305857605580675146610
9Gustav Bouramman (R)X100.005936925473787253305251555263626640580
MOYENNE D'ÉQUIPE100.00674083597682795854585661557066555661
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 Gibson100.00786866827776787776787773776365740
2Callum Booth (R)100.00706664836968706968706963677365680
Rayé
1Jeremy Smith100.00747876707372747372747378844340720
MOYENNE D'ÉQUIPE100.0074716978737274737274737176605771
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight75717977747077USA483100,000$


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'ÉquipePOS GP 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
1Tim SchallerBruins (Bos)C/LW/RW1059145135242134102514.71%421421.4234711380002344160.00%15000001.3101001111
2Dmytro TimashovBruins (Bos)LW/RW103710600292341713.04%017317.362131041000010066.67%900001.1500000000
3Frederick GaudreauBruins (Bos)C/LW1055100003163182416.13%217817.862135390002180163.19%14400001.1201000101
4Tom KuhnhacklBruins (Bos)LW/RW645934014101791823.53%112420.760335220000151081.82%1100001.4500000200
5Nate ProsserBruins (Bos)D10189320910107910.00%1225825.85145738000031100.00%000000.7000000011
6Sam MileticBruins (Bos)LW10369240106199715.79%113813.85033436000000080.00%500001.3000000101
7Erik GudbransonBoston BruinsD85383240278182927.78%721426.77314930000018010.00%000000.7500000110
8Chris WagnerBruins (Bos)C/LW/RW534722017161931715.79%111022.070222180001160171.33%14300011.2700000100
9Zach WhitecloudBruins (Bos)D100669120198155120.00%1428528.56011839000033000.00%000000.4200000020
10Kevin RooneyBoston BruinsC1014520010231910215.26%214714.70000060001180063.41%12300000.6800000000
11Zac RinaldoBruins (Bos)LW/RW1032556016101311523.08%0939.3300000000001066.67%600001.0700000001
12Luke GreenBruins (Bos)D10055880927260.00%524124.12011334000024000.00%000000.4100000001
13Michael CarconeBruins (Bos)LW1013432038941011.11%111011.0300000000000040.00%1000000.7300000000
14Carter CamperBruins (Bos)C1012342011016286.25%110310.3500003000041067.57%7400000.5800000100
15Giovanni FioreBruins (Bos)LW/RW10213-28065197810.53%113113.13011522000000033.33%300000.4600000000
16Anthony RichardBruins (Bos)C/LW/RW101233003553220.00%210410.41000280000221050.00%600000.5800000001
17Connor BunnamanBruins (Bos)C102135206580125.00%2737.3100004000070155.88%3400000.8200000010
18Brian StraitBruins (Bos)D2011095115110.00%64924.500114800005000.00%000000.4100001000
19Spencer SmallmanBruins (Bos)RW8101110107412268.33%08310.4610151300000000.00%500000.2400101000
20Liam O'BrienBruins (Bos)LW80000755212270.00%0617.7100000000000050.00%400000.0000100000
21Shawn O'DonnellBruins (Bos)RW10000100100120.00%0212.1500004000030050.00%200000.0000000000
22William BorgenBruins (Bos)D10000-21001654340.00%618818.8000007000041000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne197417411561125252091843159522913.02%68310515.771223358041700062989563.65%72900010.7402203867
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
1Christopher GibsonBruins (Bos)109010.9101.8760902192120000.5002100120
Stats d'équipe Total ou en Moyenne109010.9101.8760902192120000.5002100120


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Anthony RichardBruins (Bos)C/LW/RW221996-12-20No163 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$NoLien
Antoine RousselBruins (Bos)LW/RW291989-11-21No199 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm1,000,000$0$0$NoLien
Brian StraitBruins (Bos)D311988-01-04No206 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Callum BoothBruins (Bos)G221997-05-21Yes184 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Carson SoucyBruins (Bos)D241994-07-27No211 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Carter CamperBruins (Bos)C301988-07-06No176 Lbs5 ft9NoNoNo3Sans RestrictionPro & Farm311,002$0$0$NoLien
Chris WagnerBruins (Bos)C/LW/RW281991-05-27No198 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm1,000,000$0$0$NoLien
Christopher GibsonBruins (Bos)G261992-12-27No207 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$0$0$NoLien
Connor BunnamanBruins (Bos)C211998-04-16Yes207 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Curtis McKenzieBruins (Bos)LW281991-02-22No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Dmytro TimashovBruins (Bos)LW/RW221996-10-01No195 Lbs5 ft1NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$NoLien
Frederick GaudreauBruins (Bos)C/LW261993-05-01No179 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Giovanni FioreBruins (Bos)LW/RW221996-08-13No188 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Gustav BourammanBruins (Bos)D221997-01-24Yes194 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Jack KopackaBruins (Bos)LW211998-03-05Yes197 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Jeremy SmithBruins (Bos)G301989-04-13No177 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Liam O'BrienBruins (Bos)LW241994-07-29No215 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Luke GreenBruins (Bos)D211998-01-12Yes188 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Michael CarconeBruins (Bos)LW231996-05-19No170 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Nate ProsserBruins (Bos)D331986-05-07No201 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Sam MileticBruins (Bos)LW221997-05-04No197 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Shawn O'DonnellBruins (Bos)RW311988-05-28Yes192 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Spencer SmallmanBruins (Bos)RW221996-09-09Yes198 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Steven LorentzBruins (Bos)LW231996-04-13No206 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Tim SchallerBruins (Bos)C/LW/RW281990-11-16No204 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$NoLien
Tom KuhnhacklBruins (Bos)LW/RW271992-01-21No196 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$0$0$NoLien
William BorgenBruins (Bos)D221996-12-19Yes196 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Yannick VeilleuxBruins (Bos)C/LW/RW261993-02-22No195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Zac RinaldoBruins (Bos)LW/RW291990-06-15No192 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Zach WhitecloudBruins (Bos)D221996-11-28No209 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3025.23195 Lbs6 ft13.07430,367$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tim SchallerChris WagnerTom Kuhnhackl40122
2Frederick GaudreauDmytro Timashov30122
3Sam MileticCarter CamperZac Rinaldo20122
4Michael CarconeConnor BunnamanGiovanni Fiore10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nate ProsserZach Whitecloud40122
2Luke GreenCarter Camper30122
3Nate ProsserZach Whitecloud20122
4Luke GreenChris Wagner10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tim SchallerChris WagnerTom Kuhnhackl60122
2Frederick GaudreauDmytro Timashov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nate ProsserZach Whitecloud60122
2Luke GreenCarter Camper40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chris WagnerTim Schaller60122
2Tom Kuhnhackl40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nate ProsserZach Whitecloud60122
2Luke Green40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Chris Wagner60122Nate ProsserZach Whitecloud60122
2Tim Schaller40122Luke Green40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chris WagnerTim Schaller60122
2Tom Kuhnhackl40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nate ProsserZach Whitecloud60122
2Luke Green40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tim SchallerChris WagnerTom KuhnhacklNate ProsserZach Whitecloud
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tim SchallerChris WagnerTom KuhnhacklNate ProsserZach Whitecloud
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Shawn O'Donnell, Anthony Richard, Sam MileticShawn O'Donnell, Anthony RichardSam Miletic
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nate Prosser, Zach Whitecloud, Luke GreenNate ProsserZach Whitecloud, Luke Green
Tirs de Pénalité
Chris Wagner, Tim Schaller, Tom Kuhnhackl, , Frederick Gaudreau
Gardien
#1 : Christopher Gibson, #2 : Callum Booth


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
1Barracuda21000001431110000003121000000112-130.750471100131511243801289974814203213215.38%90100.00%021632965.65%15725162.55%9114562.76%2962181906612267
2Bears11000000761000000000001100000076121.00071320001315112298012899726716194250.00%7185.71%021632965.65%15725162.55%9114562.76%2962181906612267
3Heat11000000541110000005410000000000021.0005914001315112258012899725919165120.00%70100.00%021632965.65%15725162.55%9114562.76%2962181906612267
4Moose21001000505100010001011100000040441.0005101502131511283801289973113224515213.33%50100.00%021632965.65%15725162.55%9114562.76%2962181906612267
5Reign220000001028110000006151100000041341.000101828001315112808012899733519368337.50%60100.00%021632965.65%15725162.55%9114562.76%2962181906612267
6Roadrunners210010001055110000006241000100043141.00010172700131511251801289974914194510220.00%7357.14%021632965.65%15725162.55%9114562.76%2962181906612267
Total10700200141202154001000218135300100120128190.95041741150213151123118012899721262115193551221.82%41490.24%021632965.65%15725162.55%9114562.76%2962181906612267
_Since Last GM Reset10700200141202154001000218135300100120128190.95041741150213151123118012899721262115193551221.82%41490.24%021632965.65%15725162.55%9114562.76%2962181906612267
_Vs Conference9600200136162043001000164125300100120128170.9443665101021315112286801289971875396177501122.00%34488.24%021632965.65%15725162.55%9114562.76%2962181906612267

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1019OTW141741153112126211519302
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
107020014120
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5401000218
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
53010012012
Derniers 10 Matchs
WLOTWOTL SOWSOL
702001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
551221.82%41490.24%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
801289971315112
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
21632965.65%15725162.55%9114562.76%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2962181906612267


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
2 - 2019-09-0310Bruins4Moose0WSommaire du Match
4 - 2019-09-0528Heat4Bruins5WSommaire du Match
6 - 2019-09-0747Roadrunners2Bruins6WSommaire du Match
8 - 2019-09-0965Reign1Bruins6WSommaire du Match
10 - 2019-09-1179Bruins1Barracuda2LXXSommaire du Match
11 - 2019-09-1291Bruins7Bears6WSommaire du Match
13 - 2019-09-14104Moose0Bruins1WXSommaire du Match
16 - 2019-09-17125Barracuda1Bruins3WSommaire du Match
18 - 2019-09-19142Bruins4Reign1WSommaire du Match
19 - 2019-09-20152Bruins4Roadrunners3WXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 129,110$ 24,000$ 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