Gulls

GP: 40 | W: 19 | L: 17 | OTL: 4 | P: 42
GF: 137 | GA: 149 | PP%: 18.37% | PK%: 81.15%
DG: Loic Roberge | Morale : 49 | Moyenne d'Équipe : 62
Prochain matchs #695 vs Reign
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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
1Michael Dal ColleXX100.006236906884776366596567636465658761640
2Frederik GauthierX100.008036915996698358766257635667648061630
3Michael SgarbossaX100.005741776372949562686161586273675861630
4Martin FrkX100.007636896878706067526664586671666959630
5J.T. BrownX100.008244796266717361596362645977696362620
6Andreas MartinsenXX100.008339826089736458565957615477694659610
7Lias AnderssonXX100.007045796375766662696158605461638763610
8Nathan GerbeXXX100.005239816260847861706356545980795361610
9Paul CareyXX100.006536885977806958555659575478714961600
10Rasmus Asplund (R)X100.005236905960949558686054575663626361600
11Logan Stanley (R)X100.008439815599949354305551624561636456650
12Alex LintuniemiX100.007736915690939055305850594567646161640
13Justin FalkX100.007643825894766256305452685179715160640
14Adam Ollas MattssonX100.007737895593928954305452604565636261640
15Chad RuhwedelX100.007936886271745961306059634877704661630
16Chris SummersX100.006839825682918754305552574579716261630
17Mason GeertsenX100.007345655589918754305551594567646158630
18Dillon HeatheringtonX100.006637885991817258305953575267646961620
19Mark AltX100.006036925987797058305554604675685861620
20Jeremy LauzonX100.006238846078816259305556684763647254620
21Gabriel CarlssonX100.006237895888807157305453614963627958610
Rayé
1Cal O'ReillyX100.005836926472939063796955595582795220640
2Ross Colton (R)X100.006437875876939057605655585265636220600
3Calvin ThurkaufXX100.006939825883787257625654595863626820590
4Brady BrassartXX100.006837885482928853585451565271665920590
5Joseph LaBateX100.007542735491939153555152585371665920590
6JC LiponX100.005644675771918756605654565571666020590
7Laurent DauphinXX100.005437885973837058635954565167647320580
8J.C. BeaudinXX100.005836845478747653625655585362655620570
9Tony CameranesiX100.005335945462777153565251545271665520550
10Alex DostieXX100.005635935356827652545151535263626320540
11Simon BenoitX100.006437885581928954305551564861636420610
12Frederic AllardX100.005838855673928955305952545163627020600
13Paul LaDueX100.005838906180735059305758564973684220590
14Guillaume BriseboisX100.005436925875806657305453565263626920580
MOYENNE D'ÉQUIPE100.00663885597983775748585559526966634461
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 Forsberg100.00777573827675777675777673774661740
Rayé
1Landon Bow100.00776967917675777675777667714820730
2Jonas Johansson100.00776563887675777675777667715220730
3Joel Hofer100.00656361756463656463656459615820620
MOYENNE D'ÉQUIPE100.0074686684737274737274736770513071
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)RW40302757255915123602214815313.57%2067916.9827933880000423361.43%7000031.6801003555
2Martin FrkGulls (Ana)RW402235572526079771934715511.40%2078919.75538349101141494354.93%7100011.4412000445
3Justin FalkGulls (Ana)D40123951246551494086357313.95%6883220.82461046961011104000.00%000001.2200001353
4Andreas MartinsenGulls (Ana)LW/RW4019625-742086551605311611.88%3858914.730111241012583163.41%41000000.8500000341
5Lias AnderssonGulls (Ana)C/LW9538200793042016.67%015016.76112934000031057.14%1400001.0600000200
6Frederik GauthierGulls (Ana)C924634014161481414.29%119621.871235270000270067.74%18600000.6101000102
7Michael SgarbossaGulls (Ana)C92353801423308176.67%124827.640118330001500057.84%20400000.4011000010
8Adam Ollas MattssonGulls (Ana)D9145510014384612.50%1017919.92000430000040000.00%000000.5600000001
9Nathan GerbeGulls (Ana)C/LW/RW9314260119165818.75%012113.5200027000181066.36%10700000.6600000110
10Gabriel CarlssonGulls (Ana)D40044-1023524149640.00%121754.4000001000120000.00%000000.4500100010
11Paul CareyGulls (Ana)C/LW92246100871921510.53%112714.20000010000170064.71%1700000.6300000000
12Rasmus AsplundGulls (Ana)C9033400175340.00%110411.59000030000100067.47%8300000.5700000000
13Michael Dal ColleGulls (Ana)LW/RW4022-40051317270.00%29824.570110110001200051.06%4700000.4100000000
14Chad RuhwedelGulls (Ana)D9022180461360.00%29010.010000000000000.00%000000.4400000000
15Logan StanleyGulls (Ana)D9022080216147100.00%1121724.16011736000047000.00%000000.1800000001
16Mason GeertsenGulls (Ana)D90111195403100.00%5546.090000000000000.00%000000.3600001000
17Alex LintuniemiGulls (Ana)D9011212021610470.00%820622.91000737000045000.00%000000.1000000000
18Mark AltGulls (Ana)D9011200001010.00%0343.820000100001000.00%000000.5800000000
19Dillon HeatheringtonGulls (Ana)D9000000000000.00%2161.7900000000016000.00%000000.0000000000
20Chris SummersGulls (Ana)D9000160203100.00%3687.640000000000000.00%000000.0000000000
21Jeremy LauzonGulls (Ana)D9000-100311100.00%0222.530001100000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne33998140238843063058036284124261611.65%205500514.771323361575292131166412762.53%120900040.9525105192118
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)95310.9351.5454402142160001.000390110
Stats d'équipe Total ou en Moyenne95310.9351.5454402142160001.000390110


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
Nathan GerbeGulls (Ana)C/LW/RW311987-07-24No176 Lbs5 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
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$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3924.54198 Lbs6 ft12.36428,590$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael Dal ColleMichael SgarbossaMartin Frk40122
2Lias AnderssonFrederik GauthierJ.T. Brown30122
3Andreas MartinsenNathan GerbeMichael Dal Colle20122
4Paul CareyRasmus AsplundMichael Sgarbossa10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Logan StanleyJustin Falk40122
2Alex LintuniemiAdam Ollas Mattsson30122
3Mason GeertsenChad Ruhwedel20122
4Chris SummersJeremy Lauzon10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael Dal ColleMichael SgarbossaMartin Frk60122
2Lias AnderssonFrederik GauthierJ.T. Brown40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Logan StanleyJustin Falk60122
2Alex LintuniemiAdam Ollas Mattsson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael Dal ColleMichael Sgarbossa60122
2Frederik GauthierMartin Frk40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Logan StanleyJustin Falk60122
2Alex LintuniemiAdam Ollas Mattsson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Michael Dal Colle60122Logan StanleyJustin Falk60122
2Michael Sgarbossa40122Alex LintuniemiAdam Ollas Mattsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael Dal ColleMichael Sgarbossa60122
2Frederik GauthierMartin Frk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Logan StanleyJustin Falk60122
2Alex LintuniemiAdam Ollas Mattsson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael Dal ColleMichael SgarbossaMartin FrkLogan StanleyJustin Falk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael Dal ColleMichael SgarbossaMartin FrkLogan StanleyJustin Falk
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andreas Martinsen, Nathan Gerbe, Rasmus AsplundAndreas Martinsen, Nathan GerbeRasmus Asplund
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mark Alt, Dillon Heatherington, Gabriel CarlssonMark AltDillon Heatherington, Gabriel Carlsson
Tirs de Pénalité
Michael Dal Colle, Michael Sgarbossa, Frederik Gauthier, Martin Frk, J.T. Brown
Gardien
#1 : Anton Forsberg, #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals2010001056-11010000046-21000001010120.50057120155502855644245844923561033451317.69%14378.57%0581121747.74%549117546.72%30661449.84%9626981015266448220
2Barracuda514000001026-1631200000813-520200000213-1120.2001017270055502851044424584492319957568812325.00%25868.00%0581121747.74%549117546.72%30661449.84%9626981015266448220
3Condors722012002121042100100151323010110068-280.57121375800555028518144245844923214716215628621.43%30293.33%0581121747.74%549117546.72%30661449.84%9626981015266448220
4Eagles44000000291712220000001612422000000135881.00029507900555028519644245844923161503510811327.27%15380.00%0581121747.74%549117546.72%30661449.84%9626981015266448220
5Heat41300000818-1020200000512-72110000036-320.250814220155502851384424584492314643508816318.75%25484.00%0581121747.74%549117546.72%30661449.84%9626981015266448220
6Moose22000000954220000009540000000000041.000916250055502858744245844923832620577228.57%10190.00%0581121747.74%549117546.72%30661449.84%9626981015266448220
7Rampage1000010012-1000000000001000010012-110.50012300555028527442458449232641217100.00%60100.00%0581121747.74%549117546.72%30661449.84%9626981015266448220
8Reign7500101038211722000000149553001010241212141.000386910700555028538844245844923196416418623417.39%26580.77%1581121747.74%549117546.72%30661449.84%9626981015266448220
9Roadrunners504001001326-13302001001016-620200000310-710.1001324370055502851284424584492320364769917423.53%20765.00%1581121747.74%549117546.72%30661449.84%9626981015266448220
10Stars2020000014-31010000012-11010000002-200.0001230055502853244245844923531945321200.00%14192.86%0581121747.74%549117546.72%30661449.84%9626981015266448220
Total40151702420137149-122099002008288-62068022205561-6420.52513724237902555028513644424584492313673914678931472718.37%1913681.15%2581121747.74%549117546.72%30661449.84%9626981015266448220
12Wild1010000023-1000000000001010000023-100.000246005550285274424584492330614177114.29%6266.67%0581121747.74%549117546.72%30661449.84%9626981015266448220
_Since Last GM Reset40151702420137149-122099002008288-62068022205561-6420.52513724237902555028513644424584492313673914678931472718.37%1913681.15%2581121747.74%549117546.72%30661449.84%9626981015266448220
_Vs Conference1988011107078-81054001004143-2934010102935-6210.5537012619600555028570744245844923681188216430591322.03%812174.07%2581121747.74%549117546.72%30661449.84%9626981015266448220

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4042L11372423791364136739146789302
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4015172420137149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
209902008288
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
206822205561
Derniers 10 Matchs
WLOTWOTL SOWSOL
530110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1472718.37%1913681.15%2
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
442458449235550285
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
581121747.74%549117546.72%30661449.84%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9626981015266448220


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 - 2020-01-01695Reign-Gulls-
123 - 2020-01-02710Wild-Gulls-
127 - 2020-01-06722Reign-Gulls-
129 - 2020-01-08733Gulls-Reign-
130 - 2020-01-09747Gulls-Condors-
133 - 2020-01-12760Gulls-Eagles-
134 - 2020-01-13767Gulls-Eagles-
137 - 2020-01-16779Gulls-Barracuda-
138 - 2020-01-17802Gulls-Barracuda-
141 - 2020-01-20813Roadrunners-Gulls-
144 - 2020-01-23839Rampage-Gulls-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29867Gulls-Heat-
151 - 2020-01-30879Gulls-Heat-
155 - 2020-02-03894Heat-Gulls-
157 - 2020-02-05908Eagles-Gulls-
158 - 2020-02-06922Eagles-Gulls-
162 - 2020-02-10942Gulls-Condors-
166 - 2020-02-14967Gulls-Moose-
168 - 2020-02-16975Gulls-Moose-
172 - 2020-02-201006Reign-Gulls-
176 - 2020-02-241026Barracuda-Gulls-
178 - 2020-02-261036Condors-Gulls-
179 - 2020-02-271052Heat-Gulls-
183 - 2020-03-021071Gulls-Barracuda-
185 - 2020-03-041082Reign-Gulls-
190 - 2020-03-091112Barracuda-Gulls-
192 - 2020-03-111127Gulls-Roadrunners-
193 - 2020-03-121141Gulls-Roadrunners-



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
14 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,627,929$ 167,150$ 49,008$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 94,404$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 75 13,748$ 1,031,100$




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
1440151702420137149-122099002008288-62068022205561-64213724237902555028513644424584492313673914678931472718.37%1913681.15%2581121747.74%549117546.72%30661449.84%9626981015266448220
Total Saison Régulière40151702420137149-122099002008288-62068022205561-64213724237902555028513644424584492313673914678931472718.37%1913681.15%2581121747.74%549117546.72%30661449.84%9626981015266448220