Gulls

GP: 68 | W: 43 | L: 20 | OTL: 5 | P: 91
GF: 253 | GA: 186 | PP%: 17.06% | PK%: 85.33%
DG: Loic Roberge | Morale : 81 | 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
1Cal O'ReillyX100.005836926472939063796955595582795239640
2Michael Dal ColleXX100.006236906884776366596567636465658783640
3Frederik GauthierX100.008036915996698358766257635667648089630
4Michael SgarbossaX100.005741776372949562686161586273675889630
5J.T. BrownX100.008244796266717361596362645977696389630
6Martin FrkX100.007636896878706067526664586671666987630
7Andreas MartinsenXX100.008339826089736458565957615477694687610
8Lias AnderssonXX100.007045796375766662696158605461638787610
9Rasmus Asplund (R)X100.005236905960949558686054575663626389600
10Ross Colton (R)X100.006437875876939057605655585265636239600
11Logan Stanley (R)X100.008439815599949354305551624561636486660
12Alex LintuniemiX100.007736915690939055305850594567646189640
13Justin FalkX100.007643825894766256305452685179715190640
14Chad RuhwedelX100.007936886271745961306059634877704689630
15Chris SummersX100.006839825682918754305552574579716289630
16Mason GeertsenX100.007345655589918754305551594567646191630
17Mark AltX100.006036925987797058305554604675685889620
18Gabriel CarlssonX100.006237895888807157305453614963627987620
19Jeremy LauzonX100.006238846078816259305556684763647278620
20Simon BenoitX100.006437885581928954305551564861636439610
21Frederic AllardX100.005838855673928955305952545163627037600
Rayé
1Paul CareyXX100.006536885977806958555659575478714980600
2Calvin ThurkaufXX100.006939825883787257625654595863626820590
3Brady BrassartXX100.006837885482928853585451565271665920590
4Joseph LaBateX100.007542735491939153555152585371665920590
5JC LiponX100.005644675771918756605654565571666020590
6Laurent DauphinXX100.005437885973837058635954565167647320580
7J.C. BeaudinXX100.005836845478747653625655585362655620570
8Tony CameranesiX100.005335945462777153565251545271665520550
9Alex DostieXX100.005635935356827652545151535263626320540
10Adam Ollas MattssonX100.007737895593928954305452604565636270640
11Dillon HeatheringtonX100.006637885991817258305953575267646978620
12Paul LaDueX100.005838906180735059305758564973684220590
13Guillaume BriseboisX100.005436925875806657305453565263626920580
MOYENNE D'ÉQUIPE100.00663885598083775748575559526966636161
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
1Anton Forsberg100.00777573827675777675777673774689740
2Jonas Johansson100.00776563887675777675777667715239730
Rayé
1Landon Bow100.00776967917675777675777667714820730
2Joel Hofer100.00656361756463656463656459615820620
MOYENNE D'ÉQUIPE100.0074686684737274737274736770514271
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan76707270716678CAN4752,500,000$


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
1J.T. BrownGulls (Ana)RW684346894811115173983338922912.91%20121617.8821012521741011719358.33%12000031.4601003697
2Martin FrkGulls (Ana)RW68345286474001261132967023611.49%22124818.3587156317831481936459.09%11000011.3812000666
3Justin FalkGulls (Ana)D68175774549715192681275011113.39%92144721.297815621861235216100.00%000001.0200102367
4Michael SgarbossaGulls (Ana)C37192544421953671145368413.10%483022.46156178810151272167.21%61900011.0611001572
5Lias AnderssonGulls (Ana)C/LW36181836242752639125287614.40%161817.1943724960000323059.62%5200021.1600001511
6Andreas MartinsenGulls (Ana)LW/RW68201333-578015172232771678.62%44100014.710227651012714164.14%44900000.6600000341
7Michael Dal ColleGulls (Ana)LW/RW25161733191002743132298612.12%561224.50257138101171232165.69%20400011.0800000613
8Tim SchallerAnaheim DucksC/LW/RW38141832131604061120367411.67%2177820.48459281601125784162.07%8700000.8203000262
9Frederik GauthierGulls (Ana)C37131831203004771117428411.11%1079521.50358241090002933170.97%74400000.7812000233
10Logan StanleyGulls (Ana)D37119202850086194514262.22%3685123.02044171290332158000.00%000000.4700000002
11Paul CareyGulls (Ana)C/LW301161723180301763155317.46%238912.98000220000191074.19%3100000.8700000112
12Adam Ollas MattssonGulls (Ana)D25114152014034122914263.45%1951520.620221680011098000.00%000000.5800000001
13Rasmus AsplundGulls (Ana)C376915212044451143311.76%337610.190002130000512066.04%32100000.8000000101
14Cal O'ReillyGulls (Ana)C13210121700927529413.85%336127.8410110380112721068.10%34800000.6611000023
15Alex LintuniemiGulls (Ana)D37111122428056234215232.38%2779621.53112231240111160000.00%000000.3000000000
16Chad RuhwedelGulls (Ana)D3728101316027192061410.00%1238010.270000000000000.00%000000.5300000000
17Mason GeertsenGulls (Ana)D37191014491544519595.26%2341311.17011123000035000.00%000000.4800201001
18Chris SummersGulls (Ana)D371561412029712578.33%113248.78000113000016000.00%000000.3700000000
19Ross ColtonGulls (Ana)C13246720410132615.38%01078.2901102000070061.70%9400001.1100000001
20Gabriel CarlssonGulls (Ana)D68055-10235251410640.00%131972.9000001000129000.00%000000.5100100010
21Jeremy LauzonGulls (Ana)D170221201011110.00%1633.730001100000000.00%000000.6300000000
22Dillon HeatheringtonGulls (Ana)D29011220101110.00%2642.2300000000035000.00%000000.3100000000
23Mark AltGulls (Ana)D37011640512020.00%21032.810000100001000.00%000000.1900000000
24Frederic AllardGulls (Ana)D12000000000000.00%1110.950000000005000.00%000000.0000000000
25Simon BenoitGulls (Ana)D13000000011000.00%3241.8900000000121000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne9242223685904426506011828361988564139311.17%3771353114.64335992363157581119421721381266.56%317900080.87410408404743
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
1Anton ForsbergGulls (Ana)3729620.9361.372235010517970101.0005370332
Stats d'équipe Total ou en Moyenne3729620.9361.372235010517970101.0005370332


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
Adam Ollas MattssonGulls (Ana)D221996-07-30No216 Lbs6 ft5NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Alex DostieGulls (Ana)C/LW221997-04-13No174 Lbs5 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Alex LintuniemiGulls (Ana)D231995-09-23No231 Lbs6 ft3NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Andreas MartinsenGulls (Ana)LW/RW291990-06-13No229 Lbs6 ft3NoNoNo1Pro & Farm300,000$0$0$NoLien
Anton ForsbergGulls (Ana)G261992-11-27No192 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien
Brady BrassartGulls (Ana)C/RW261993-06-15No210 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Cal O'ReillyGulls (Ana)C321986-09-30No188 Lbs6 ft0NoNoNo1Pro & Farm300,000$0$0$NoLien
Calvin ThurkaufGulls (Ana)C/LW221997-06-27No212 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Chad RuhwedelGulls (Ana)D291990-05-07No191 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Chris SummersGulls (Ana)D311988-02-05No207 Lbs6 ft2NoNoNo1Pro & Farm465,000$0$0$NoLien
Dillon HeatheringtonGulls (Ana)D241995-05-09No225 Lbs6 ft4NoNoNo1Pro & Farm300,000$0$0$NoLien
Frederic AllardGulls (Ana)D211997-12-27No179 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Frederik GauthierGulls (Ana)C241995-04-26No235 Lbs6 ft5NoNoNo1Pro & Farm300,000$0$0$NoLien
Gabriel CarlssonGulls (Ana)D221997-01-02No192 Lbs6 ft5NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Guillaume BriseboisGulls (Ana)D211997-07-21No175 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
J.C. BeaudinGulls (Ana)C/RW221997-03-25No185 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
J.T. BrownGulls (Ana)RW291990-07-02No166 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$NoLien
JC LiponGulls (Ana)RW251993-07-10No183 Lbs6 ft0NoNoNo1Pro & Farm300,000$0$0$NoLien
Jeremy LauzonGulls (Ana)D221997-04-28No204 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Joel HoferGulls (Ana)G182000-07-30No160 Lbs6 ft3NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Jonas JohanssonGulls (Ana)G231995-09-19No206 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Joseph LaBateGulls (Ana)LW261993-04-16No210 Lbs6 ft5NoNoNo1Pro & Farm300,000$0$0$NoLien
Justin FalkGulls (Ana)D301988-10-11No223 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Landon BowGulls (Ana)G231995-08-24No210 Lbs6 ft5NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Laurent DauphinGulls (Ana)C/LW241995-03-27No180 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Lias AnderssonGulls (Ana)C/LW201998-10-13No190 Lbs6 ft1NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Logan StanleyGulls (Ana)D211998-05-26Yes228 Lbs6 ft7NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Mark AltGulls (Ana)D271991-10-18No201 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Martin FrkGulls (Ana)RW251993-10-05No205 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Mason GeertsenGulls (Ana)D241995-04-19No212 Lbs6 ft4NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Michael Dal ColleGulls (Ana)LW/RW231996-06-20No204 Lbs6 ft3NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Michael SgarbossaGulls (Ana)C261992-07-25No186 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Paul CareyGulls (Ana)C/LW301988-09-24No200 Lbs6 ft1NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Paul LaDueGulls (Ana)D261992-09-06No200 Lbs6 ft2NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Rasmus AsplundGulls (Ana)C211997-12-03Yes191 Lbs5 ft1NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Ross ColtonGulls (Ana)C221996-09-11Yes209 Lbs6 ft0NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Simon BenoitGulls (Ana)D201998-09-19No189 Lbs6 ft3NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Tony CameranesiGulls (Ana)C251993-08-12No162 Lbs5 ft9NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3824.37199 Lbs6 ft22.39426,711$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael Dal ColleCal O'ReillyJ.T. Brown40122
2Andreas MartinsenFrederik GauthierMartin Frk30122
3Lias AnderssonMichael SgarbossaCal O'Reilly20122
4Michael Dal ColleRoss ColtonJ.T. Brown10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Logan StanleyJustin Falk40122
2Alex LintuniemiMason Geertsen30122
3Chris SummersChad Ruhwedel20122
4Mark AltJeremy Lauzon10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael Dal ColleCal O'ReillyJ.T. Brown60122
2Andreas MartinsenFrederik GauthierMartin Frk40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Logan StanleyJustin Falk60122
2Alex LintuniemiMason Geertsen40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cal O'ReillyMichael Dal Colle60122
2J.T. BrownFrederik Gauthier40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Logan StanleyJustin Falk60122
2Alex LintuniemiMason Geertsen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Cal O'Reilly60122Logan StanleyJustin Falk60122
2Michael Dal Colle40122Alex LintuniemiMason Geertsen40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Cal O'ReillyMichael Dal Colle60122
2J.T. BrownFrederik Gauthier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Logan StanleyJustin Falk60122
2Alex LintuniemiMason Geertsen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael Dal ColleCal O'ReillyJ.T. BrownLogan StanleyJustin Falk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael Dal ColleCal O'ReillyJ.T. BrownLogan StanleyJustin Falk
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rasmus Asplund, Michael Sgarbossa, Lias AnderssonRasmus Asplund, Michael SgarbossaLias Andersson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gabriel Carlsson, Simon Benoit, Frederic AllardGabriel CarlssonSimon Benoit, Frederic Allard
Tirs de Pénalité
Cal O'Reilly, Michael Dal Colle, J.T. Brown, Frederik Gauthier, Michael Sgarbossa
Gardien
#1 : Anton Forsberg, #2 : Jonas Johansson


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
1Admirals2010001056-11010000046-21000001010120.500571201105825995678981879633561033451317.69%14378.57%01284221457.99%1051194154.15%578100757.40%183513601517438765398
2Barracuda1034011102534-95220001015150512011001019-9110.5502543680110582599222789818796333008711818228517.86%531277.36%11284221457.99%1051194154.15%578100757.40%183513601517438765398
3Condors1034012002627-15220010016151512011001012-2100.5002647730010582599263789818796333029211320935720.00%52492.31%01284221457.99%1051194154.15%578100757.40%183513601517438765398
4Eagles880000005623334400000031131844000000251015161.00056100156011058259939078981879633240696519929724.14%30390.00%11284221457.99%1051194154.15%578100757.40%183513601517438765398
5Heat853000001620-4422000001013-34310000067-1100.6251628440310582599330789818796332216110217627518.52%44490.91%01284221457.99%1051194154.15%578100757.40%183513601517438765398
6Moose4400000018711220000009542200000092781.000183351011058259917378981879633116354210114214.29%20385.00%11284221457.99%1051194154.15%578100757.40%183513601517438765398
7Rampage21000100523110000004041000010012-130.750510150110582599567898187963349142636700.00%130100.00%01284221457.99%1051194154.15%578100757.40%183513601517438765398
8Reign1291010107429456510000042142864001010321517220.9177413520901105825996577898187963329766105305461021.74%38878.95%31284221457.99%1051194154.15%578100757.40%183513601517438765398
9Roadrunners824011002129-8402011001318-542200000811-370.4382138590110582599193789818796332658312214231516.13%43783.72%11284221457.99%1051194154.15%578100757.40%183513601517438765398
10Stars2020000014-31010000012-11010000002-200.00012300105825993278981879633531945321200.00%14192.86%01284221457.99%1051194154.15%578100757.40%183513601517438765398
Total6836200453025318667341911012101491034634179033201048321910.66925345570801010582599242678981879633194854380114582524317.06%3344985.33%71284221457.99%1051194154.15%578100757.40%183513601517438765398
12Wild21100000651110000004221010000023-120.5006121800105825995478981879633497303110110.00%13469.23%01284221457.99%1051194154.15%578100757.40%183513601517438765398
_Since Last GM Reset6836200453025318667341911012101491034634179033201048321910.66925345570801010582599242678981879633194854380114582524317.06%3344985.33%71284221457.99%1051194154.15%578100757.40%183513601517438765398
_Vs Conference34189032201389939179501110795227179402110594712480.70613824938704105825991245789818796339782713877301192218.49%1543080.52%61284221457.99%1051194154.15%578100757.40%183513601517438765398

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6891W3253455708242619485438011458010
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6836204530253186
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3419111210149103
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
34179332010483
Derniers 10 Matchs
WLOTWOTL SOWSOL
621010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2524317.06%3344985.33%7
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
7898187963310582599
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
1284221457.99%1051194154.15%578100757.40%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
183513601517438765398


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
4 - 2019-09-0523Gulls1Roadrunners3LSommaire du Match
10 - 2019-09-1142Roadrunners6Gulls5LXSommaire du Match
11 - 2019-09-1255Gulls6Reign5WXSommaire du Match
17 - 2019-09-1880Admirals6Gulls4LSommaire du Match
18 - 2019-09-1994Condors4Gulls3LSommaire du Match
24 - 2019-09-25117Heat6Gulls3LSommaire du Match
25 - 2019-09-26130Roadrunners5Gulls3LSommaire du Match
32 - 2019-10-03164Gulls3Reign2WSommaire du Match
36 - 2019-10-07178Gulls2Roadrunners7LSommaire du Match
38 - 2019-10-09190Eagles6Gulls7WSommaire du Match
39 - 2019-10-10204Eagles6Gulls9WSommaire du Match
45 - 2019-10-16233Condors3Gulls5WSommaire du Match
50 - 2019-10-21263Reign4Gulls7WSommaire du Match
52 - 2019-10-23276Heat6Gulls2LSommaire du Match
54 - 2019-10-25297Gulls1Heat6LSommaire du Match
57 - 2019-10-28306Moose1Gulls3WSommaire du Match
59 - 2019-10-30316Moose4Gulls6WSommaire du Match
62 - 2019-11-02339Gulls1Barracuda8LSommaire du Match
64 - 2019-11-04348Roadrunners5Gulls2LSommaire du Match
66 - 2019-11-06360Gulls7Eagles3WSommaire du Match
67 - 2019-11-07375Gulls6Eagles2WSommaire du Match
73 - 2019-11-13400Gulls3Condors2WXSommaire du Match
74 - 2019-11-14414Barracuda6Gulls3LSommaire du Match
78 - 2019-11-18432Barracuda5Gulls2LSommaire du Match
80 - 2019-11-20447Reign5Gulls7WSommaire du Match
81 - 2019-11-21455Gulls4Reign3WXXSommaire du Match
86 - 2019-11-26475Condors3Gulls2LXSommaire du Match
88 - 2019-11-28498Gulls2Condors3LXSommaire du Match
89 - 2019-11-29503Gulls1Barracuda5LSommaire du Match
92 - 2019-12-02517Gulls1Condors3LSommaire du Match
94 - 2019-12-04529Barracuda2Gulls3WSommaire du Match
96 - 2019-12-06551Gulls7Reign1WSommaire du Match
99 - 2019-12-09559Gulls2Heat0WSommaire du Match
102 - 2019-12-12584Gulls1Admirals0WXXSommaire du Match
104 - 2019-12-14593Gulls2Wild3LSommaire du Match
106 - 2019-12-16604Stars2Gulls1LSommaire du Match
109 - 2019-12-19630Condors3Gulls5WSommaire du Match
111 - 2019-12-21641Gulls4Reign1WSommaire du Match
115 - 2019-12-25665Gulls1Rampage2LXSommaire du Match
116 - 2019-12-26680Gulls0Stars2LSommaire du Match
122 - 2020-01-01695Reign0Gulls10WSommaire du Match
123 - 2020-01-02710Wild2Gulls4WSommaire du Match
127 - 2020-01-06722Reign1Gulls11WSommaire du Match
129 - 2020-01-08733Gulls8Reign3WSommaire du Match
130 - 2020-01-09747Gulls2Condors3LSommaire du Match
133 - 2020-01-12760Gulls5Eagles2WSommaire du Match
134 - 2020-01-13767Gulls7Eagles3WSommaire du Match
137 - 2020-01-16779Gulls1Barracuda2LXSommaire du Match
138 - 2020-01-17802Gulls3Barracuda1WSommaire du Match
141 - 2020-01-20813Roadrunners2Gulls3WXSommaire du Match
144 - 2020-01-23839Rampage0Gulls4WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29867Gulls2Heat1WSommaire du Match
151 - 2020-01-30879Gulls1Heat0WSommaire du Match
155 - 2020-02-03894Heat1Gulls3WSommaire du Match
157 - 2020-02-05908Eagles0Gulls11WSommaire du Match
158 - 2020-02-06922Eagles1Gulls4WSommaire du Match
162 - 2020-02-10942Gulls2Condors1WSommaire du Match
166 - 2020-02-14967Gulls4Moose0WSommaire du Match
168 - 2020-02-16975Gulls5Moose2WSommaire du Match
172 - 2020-02-201006Reign1Gulls6WSommaire du Match
176 - 2020-02-241026Barracuda2Gulls3WXXSommaire du Match
178 - 2020-02-261036Condors2Gulls1LSommaire du Match
179 - 2020-02-271052Heat0Gulls2WSommaire du Match
183 - 2020-03-021071Gulls4Barracuda3WXSommaire du Match
185 - 2020-03-041082Reign3Gulls1LSommaire du Match
190 - 2020-03-091112Barracuda0Gulls4WSommaire du Match
192 - 2020-03-111127Gulls3Roadrunners0WSommaire du Match
193 - 2020-03-121141Gulls2Roadrunners1WSommaire 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
2,655,954$ 162,150$ 49,008$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 155,967$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 13,722$ 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
1468362004530253186673419110121014910346341790332010483219125345570801010582599242678981879633194854380114582524317.06%3344985.33%71284221457.99%1051194154.15%578100757.40%183513601517438765398
Total Saison Régulière68362004530253186673419110121014910346341790332010483219125345570801010582599242678981879633194854380114582524317.06%3344985.33%71284221457.99%1051194154.15%578100757.40%183513601517438765398