Gulls

GP: 21 | W: 10 | L: 10 | OTL: 1 | P: 21
GF: 86 | GA: 98 | PP%: 26.39% | PK%: 73.56%
DG: Loic Roberge | Morale : 49 | Moyenne d'Équipe : 62
Prochain matchs #400 vs Condors
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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 SgarbossaX100.005741776372949562686161586273675855630
2Martin FrkX100.007636896878706067526664586671666954630
3Frederik GauthierX100.008036915996698358766257635667648055620
4J.T. BrownX100.008244796266717361596362645977696356620
5Andreas MartinsenXX100.008339826089736458565957615477694654610
6Lias AnderssonXX100.007045796375766662696158605461638757610
7Nathan GerbeXXX100.005239816260847861706356545980795355610
8Paul CareyXX100.006536885977806958555659575478714955600
9Rasmus Asplund (R)X100.005236905960949558686054575663626355600
10Alex LintuniemiX100.007736915690939055305850594567646155640
11Justin FalkX100.007643825894766256305452685179715155640
12Adam Ollas MattssonX100.007737895593928954305452604565636255640
13Chad RuhwedelX100.007936886271745961306059634877704655630
14Chris SummersX100.006839825682918754305552574579716255630
15Mason GeertsenX100.007345655589918754305551594567646155630
16Dillon HeatheringtonX100.006637885991817258305953575267646955620
17Mark AltX100.006036925987797058305554604675685855620
18Jeremy LauzonX100.006238846078816259305556684763647248620
19Gabriel CarlssonX100.006237895888807157305453614963627953610
Rayé
1Cal O'ReillyX100.005836926472939063796955595582795224640
2Ross Colton (R)X100.006437875876939057605655585265636229600
3Calvin ThurkaufXX100.006939825883787257625654595863626829590
4Brady BrassartXX100.006837885482928853585451565271665929590
5Joseph LaBateX100.007542735491939153555152585371665929590
6JC LiponX100.005644675771918756605654565571666029590
7Laurent DauphinXX100.005437885973837058635954565167647329580
8J.C. BeaudinXX100.005836845478747653625655585362655629570
9Tony CameranesiX100.005335945462777153565251545271665529550
10Alex DostieXX100.005635935356827652545151535263626329540
11Simon BenoitX100.006437885581928954305551564861636429610
12Frederic AllardX100.005838855673928955305952545163627029600
13Paul LaDueX100.005838906180735059305758564973684229590
14Guillaume BriseboisX100.005436925875806657305453565263626929580
MOYENNE D'ÉQUIPE100.00663885587883775749575559527066624461
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 Forsberg100.00777573827675777675777673774655740
Rayé
1Landon Bow100.00776967917675777675777667714829730
2Jonas Johansson100.00776563887675777675777667715229730
3Joel Hofer100.00656361756463656463656459615829630
MOYENNE D'ÉQUIPE100.0074686684737274737274736770513671
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'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
1Martin FrkGulls (Ana)RW21142539186042461202710311.67%1542420.2233619410112742360.00%3500011.8400000414
2Justin FalkGulls (Ana)D2110273717415982354234718.52%4143720.8346102849101138000.00%000001.6900001343
3J.T. BrownGulls (Ana)RW211915341636107632138319213.77%1234816.5815613390000182267.57%3700021.9500002234
4Andreas MartinsenGulls (Ana)LW/RW2114317-7220442999388014.14%2530814.70000001012382167.59%29000001.1000000220
5Gabriel CarlssonGulls (Ana)D21044-721518116340.00%51075.100000000019000.00%000000.7500100010
Stats d'équipe Total ou en Moyenne1055774131371262027814141712232613.67%98162615.49814226013021361806666.85%36200031.6100103111111
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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
Adam Ollas MattssonGulls (Ana)D221996-07-30No216 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Alex DostieGulls (Ana)C/LW221997-04-13No174 Lbs5 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Alex LintuniemiGulls (Ana)D231995-09-23No231 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Andreas MartinsenGulls (Ana)LW/RW291990-06-13No229 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Anton ForsbergGulls (Ana)G261992-11-27No192 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Brady BrassartGulls (Ana)C/RW261993-06-15No210 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Cal O'ReillyGulls (Ana)C321986-09-30No188 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Calvin ThurkaufGulls (Ana)C/LW221997-06-27No212 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Chad RuhwedelGulls (Ana)D291990-05-07No191 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Chris SummersGulls (Ana)D311988-02-05No207 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm465,000$0$0$NoLien
Dillon HeatheringtonGulls (Ana)D241995-05-09No225 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Frederic AllardGulls (Ana)D211997-12-27No179 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Frederik GauthierGulls (Ana)C241995-04-26No235 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Gabriel CarlssonGulls (Ana)D221997-01-02No192 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Guillaume BriseboisGulls (Ana)D211997-07-21No175 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
J.C. BeaudinGulls (Ana)C/RW221997-03-25No185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
J.T. BrownGulls (Ana)RW291990-07-02No166 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
JC LiponGulls (Ana)RW251993-07-10No183 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Jeremy LauzonGulls (Ana)D221997-04-28No204 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Joel HoferGulls (Ana)G182000-07-30No160 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Jonas JohanssonGulls (Ana)G231995-09-19No206 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Joseph LaBateGulls (Ana)LW261993-04-16No210 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Justin FalkGulls (Ana)D301988-10-11No223 Lbs6 ft5NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Landon BowGulls (Ana)G231995-08-24No210 Lbs6 ft5NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Laurent DauphinGulls (Ana)C/LW241995-03-27No180 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Lias AnderssonGulls (Ana)C/LW201998-10-13No190 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Mark AltGulls (Ana)D271991-10-18No201 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Martin FrkGulls (Ana)RW251993-10-05No205 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Mason GeertsenGulls (Ana)D241995-04-19No212 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Michael SgarbossaGulls (Ana)C261992-07-25No186 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Nathan GerbeGulls (Ana)C/LW/RW311987-07-24No176 Lbs5 ft4NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Paul CareyGulls (Ana)C/LW301988-09-24No200 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm500,000$0$0$NoLien
Paul LaDueGulls (Ana)D261992-09-06No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Rasmus AsplundGulls (Ana)C211997-12-03Yes191 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Ross ColtonGulls (Ana)C221996-09-11Yes209 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Simon BenoitGulls (Ana)D201998-09-19No189 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Tony CameranesiGulls (Ana)C251993-08-12No162 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3724.68197 Lbs6 ft12.32413,919$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin FrkJ.T. Brown40122
230122
3Andreas Martinsen20122
4Martin Frk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Falk40122
230122
320122
4Gabriel Carlsson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin FrkJ.T. Brown60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Falk60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Martin Frk60122
2J.T. Brown40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Falk60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Justin Falk60122
2Martin Frk4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Martin Frk60122
2J.T. Brown40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Falk60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin FrkJ.T. BrownJustin Falk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin FrkJ.T. BrownJustin Falk
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Andreas Martinsen, Andreas Martinsen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Gabriel Carlsson, Gabriel Carlsson
Tirs de Pénalité
, Martin Frk, J.T. Brown, ,
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
1Admirals1010000046-21010000046-20000000000000.000471100333319122247272272530515207114.29%5340.00%030064746.37%28661446.58%17336147.92%493360540137233112
2Barracuda1010000018-7000000000001010000018-700.00012300333319121247272272540116202150.00%3233.33%030064746.37%28661446.58%17336147.92%493360540137233112
3Condors21100000871211000008710000000000020.50081321003333191612472722725621914478337.50%7185.71%030064746.37%28661446.58%17336147.92%493360540137233112
4Eagles44000000291712220000001612422000000135881.0002950790033331911962472722725161503510811327.27%15380.00%030064746.37%28661446.58%17336147.92%493360540137233112
5Heat30300000618-1220200000512-71010000016-500.0006101600333319110224727227251183534638225.00%17476.47%030064746.37%28661446.58%17336147.92%493360540137233112
6Moose22000000954220000009540000000000041.00091625003333191872472722725832620577228.57%10190.00%030064746.37%28661446.58%17336147.92%493360540137233112
7Reign3200100016115110000007432100100097261.000162945003333191179247272272510918228312325.00%10280.00%130064746.37%28661446.58%17336147.92%493360540137233112
8Roadrunners504001001326-13302001001016-620200000310-710.100132437003333191128247272272520364769917423.53%20765.00%130064746.37%28661446.58%17336147.92%493360540137233112
Total21910011008698-121366001005962-3834010002736-9210.500861512370033331917962472722725806228222497721926.39%872373.56%230064746.37%28661446.58%17336147.92%493360540137233112
_Since Last GM Reset21910011008698-121366001005962-3834010002736-9210.500861512370033331917962472722725806228222497721926.39%872373.56%230064746.37%28661446.58%17336147.92%493360540137233112
_Vs Conference1145011003950-116320010026251513010001325-12110.50039711100033331914152472722725435119124259381026.32%431272.09%230064746.37%28661446.58%17336147.92%493360540137233112

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2121W28615123779680622822249700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2191011008698
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
136601005962
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
83410002736
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
721926.39%872373.56%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
24727227253333191
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
30064746.37%28661446.58%17336147.92%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
493360540137233112


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 - 2019-11-13400Gulls-Condors-
74 - 2019-11-14414Barracuda-Gulls-
78 - 2019-11-18432Barracuda-Gulls-
80 - 2019-11-20447Reign-Gulls-
81 - 2019-11-21455Gulls-Reign-
86 - 2019-11-26475Condors-Gulls-
88 - 2019-11-28498Gulls-Condors-
89 - 2019-11-29503Gulls-Barracuda-
92 - 2019-12-02517Gulls-Condors-
94 - 2019-12-04529Barracuda-Gulls-
96 - 2019-12-06551Gulls-Reign-
99 - 2019-12-09559Gulls-Heat-
102 - 2019-12-12584Gulls-Admirals-
104 - 2019-12-14593Gulls-Wild-
106 - 2019-12-16604Stars-Gulls-
109 - 2019-12-19630Condors-Gulls-
111 - 2019-12-21641Gulls-Reign-
115 - 2019-12-25665Gulls-Rampage-
116 - 2019-12-26680Gulls-Stars-
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
21 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
983,955$ 153,150$ 49,008$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 56,107$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 122 13,676$ 1,668,472$




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
1421910011008698-121366001005962-3834010002736-921861512370033331917962472722725806228222497721926.39%872373.56%230064746.37%28661446.58%17336147.92%493360540137233112
Total Saison Régulière21910011008698-121366001005962-3834010002736-921861512370033331917962472722725806228222497721926.39%872373.56%230064746.37%28661446.58%17336147.92%493360540137233112