beholdershellpepitosKingspatriots

 

 


Requins

GP: 36 | W: 26 | L: 9 | OTL: 1 | P: 53
GF: 261 | GA: 104 | PP%: 24.65% | PK%: 82.14%
DG: Karl Freniere | Morale : 50 | Moyenne d'Équipe : 77
Prochain matchs #358 vs Jardiniers
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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
1Brendan Perlini0X100.00573568317268837137808673784235050820
2Christian Dvorak0X100.00583473234876837185828172684236050820
3Austin Watson0X100.00864745497758836550798172605752050800
4Ondrej Kase0X100.00462570283761767639848570774134050790
5Connor Brickley0X100.00844259436654836836828065634437050780
6Cedric Paquette0X100.00864353466549606881798158594944050760
7Nicholas Baptiste0X100.00494060396544856835788366634542050760
8Frederik Gauthier0X100.00694060618841766084717842634439050710
9Evgeny Svechnikov0X100.00713752577240786034727758734137050700
10Emerson Etem0XX100.00613970707339835631677053725244050670
11Steven Santini0X100.00854062486768848331827375634136050840
12Vince Dunn (R)0X100.00374066435762838633857461644034050810
13Joe Morrow0X100.00684063455660848428827366635042050810
14Scott Harrington0X100.00643872497048828129787266614952050780
15Andy Welinski (R)0X100.00463283566654777030726756654242050730
16Tyler Wotherspoon0X100.00443475607040716931726650645044050690
Rayé
MOYENNE D'ÉQUIPE100.0063386447665479714378776366464105077
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
1Tristan Jarry100.0085927289888890889089714261050880
Rayé
MOYENNE D'ÉQUIPE100.008592728988889088908971426105088
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme70707070707070CAN454450,000$


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
1Brendan PerliniRequins (COU)LW364340835924047651795010724.02%4089324.81791629101527111895237.53%3811818031.8623000833
2Austin WatsonRequins (COU)LW3626457143117258961120318521.67%1767518.785813191001235581064.18%674212042.1023113122
3Ondrej KaseRequins (COU)LW36283866581201355121386223.14%2054615.19000211234703040.91%221910022.4111000243
4Cedric PaquetteRequins (COU)C36333265593557928124438226.61%1351014.18011010000061163.97%358377032.5500100222
5Nicholas BaptisteRequins (COU)RW36323365343353419120307126.67%851814.41971633106000005134.21%38213032.5101000244
6Connor BrickleyRequins (COU)C36273360402408037118396822.88%1860516.81641021102000002145.71%5362410041.9800000221
7Christian DvorakRequins (COU)C361642584860408074204821.62%3678021.672791510414572212263.68%5921016111.4903000202
8Steven SantiniRequins (COU)D369425172440925982465110.98%7995426.5231013201261341163100.00%01748011.0700000014
9Evgeny SvechnikovRequins (COU)RW3615243940600441982295018.29%961016.9712315103000002045.16%31346011.2800000001
10Joe MorrowRequins (COU)D36334376132046356129224.92%5685123.65099191251234168000.00%0622000.8700000000
11Vince DunnRequins (COU)D3652934252406197631316.58%2572420.1217819871235122000.00%01221000.9400000000
12Emerson EtemRequins (COU)LW/RW364263055140261139113210.26%445212.5600001000000030.00%10355001.3300000001
13Frederik GauthierRequins (COU)C36613199120231250142612.00%42958.22000002135660069.68%188182001.2800000000
14Scott HarringtonRequins (COU)D3621618308045424023255.00%4372320.101346870223128100.00%0320000.5000000001
15Andy WelinskiRequins (COU)D3626853404281311815.38%1947213.130000000001000.00%0012000.3400000000
16Tyler WotherspoonRequins (COU)D36011500042000.00%21022.850000000000000.00%000000.1900000000
Stats d'équipe Total ou en Moyenne57625145470569144935668574130144576819.29%393971816.873567102198106013203345119723754.30%22232962121221.45511213191824
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
1Tristan JarryRequins (COU)3626910.9142.782158021001160614200.8899360660
Stats d'équipe Total ou en Moyenne3626910.9142.782158021001160614200.8899360660


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
Andy WelinskiRequins (COU)D251993-04-27Yes206 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm690,000$0$0$NoLien
Austin WatsonRequins (COU)LW261992-01-13No204 Lbs193 CMNoNoNo3Avec RestrictionPro & Farm1,100,000$0$0$NoLien / Lien NHL
Brendan PerliniRequins (COU)LW221996-04-27No211 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,363,333$0$0$NoLien / Lien NHL
Cedric PaquetteRequins (COU)C251993-08-13No198 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm812,500$0$0$NoLien / Lien NHL
Christian DvorakRequins (COU)C221996-02-02No195 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,106,667$0$0$NoLien / Lien NHL
Connor BrickleyRequins (COU)C261992-02-25No203 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Emerson EtemRequins (COU)LW/RW261992-06-16No212 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm775,000$0$0$NoLien / Lien NHL
Evgeny SvechnikovRequins (COU)RW211996-10-31No212 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,106,667$0$0$NoLien
Frederik GauthierRequins (COU)C231995-04-26No232 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm863,333$0$0$NoLien
Joe MorrowRequins (COU)D251992-12-09No196 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Nicholas BaptisteRequins (COU)RW231995-08-04No205 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm878,333$0$0$NoLien
Ondrej KaseRequins (COU)LW221995-11-08No185 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm706,667$0$0$NoLien / Lien NHL
Scott HarringtonRequins (COU)D251993-03-10No207 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm632,000$0$0$NoLien / Lien NHL
Steven SantiniRequins (COU)D231995-03-07No205 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Tristan JarryRequins (COU)G231995-04-29No194 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm905,000$0$0$NoLien / Lien NHL
Tyler WotherspoonRequins (COU)D251993-03-12No207 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Vince DunnRequins (COU)D211996-10-29Yes203 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1723.71204 Lbs188 CM1.53879,922$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniChristian DvorakNicholas Baptiste40122
2Austin WatsonConnor BrickleyEvgeny Svechnikov30122
3Ondrej KaseCedric PaquetteEmerson Etem20122
4Frederik GauthierBrendan Perlini10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven SantiniJoe Morrow40122
2Vince DunnScott Harrington30122
3Andy Welinski20122
4Tyler WotherspoonSteven Santini10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniChristian DvorakNicholas Baptiste60122
2Austin WatsonConnor BrickleyEvgeny Svechnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven SantiniJoe Morrow60122
2Vince DunnScott Harrington40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brendan PerliniChristian Dvorak60122
2Austin WatsonOndrej Kase40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven SantiniJoe Morrow60122
2Vince DunnScott Harrington40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brendan Perlini60122Steven SantiniJoe Morrow60122
2Christian Dvorak40122Vince DunnScott Harrington40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brendan PerliniChristian Dvorak60122
2Austin WatsonOndrej Kase40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven SantiniJoe Morrow60122
2Vince DunnScott Harrington40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniChristian DvorakNicholas BaptisteSteven SantiniJoe Morrow
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniChristian DvorakNicholas BaptisteSteven SantiniJoe Morrow
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cedric Paquette, , Frederik GauthierCedric Paquette, Frederik Gauthier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andy Welinski, , Tyler WotherspoonAndy Welinski, Tyler Wotherspoon
Tirs de Pénalité
Brendan Perlini, Christian Dvorak, Austin Watson, Ondrej Kase, Connor Brickley
Gardien
#1 : Tristan Jarry, #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
1Barbarians422000001115-42200000062420200000513-840.5001119300199926661344834383962012536446510110.00%22481.82%043580753.90%40780550.56%37162159.74%846543764290565291
2Barracuda11000000918110000009180000000000021.000917260099926663948343839620221010284250.00%5180.00%043580753.90%40780550.56%37162159.74%846543764290565291
3Benchwarmers3200001015510110000006152100001094561.0001526410099926661084834383962010945496113430.77%17288.24%143580753.90%40780550.56%37162159.74%846543764290565291
4Caribou2200000016881100000011561100000053241.00016284400999266683483438396206122203610440.00%10190.00%243580753.90%40780550.56%37162159.74%846543764290565291
5Chevalier21000010826110000006151000001021141.000812200099926668248343839620601918468337.50%9188.89%043580753.90%40780550.56%37162159.74%846543764290565291
6Diabotins11000000312110000003120000000000021.000347009992666404834383962027111416300.00%7185.71%043580753.90%40780550.56%37162159.74%846543764290565291
7Evil Saints20101000770201010007700000000000020.500713200099926668348343839620711826366116.67%13376.92%043580753.90%40780550.56%37162159.74%846543764290565291
8Giants31100010910-12010001058-31100000042240.667913220099926661174834383962011239345614214.29%12283.33%043580753.90%40780550.56%37162159.74%846543764290565291
9Hooligans21100000910-1110000006421010000036-320.5009172600999266665483438396207628513410110.00%18666.67%143580753.90%40780550.56%37162159.74%846543764290565291
10Hybrides21100000651000000000002110000065120.500611170199926666648343839620673320327342.86%10190.00%043580753.90%40780550.56%37162159.74%846543764290565291
11Jardiniers312000001214-200000000000312000001214-220.333122234009992666116483438396209534276123417.39%11463.64%043580753.90%40780550.56%37162159.74%846543764290565291
12Leftovers2200000013670000000000022000000136741.00013243700999266669483438396207227213916637.50%8275.00%043580753.90%40780550.56%37162159.74%846543764290565291
13Pirates3210000011922200000010551010000014-340.66711193000999266691483438396201013354594250.00%27485.19%143580753.90%40780550.56%37162159.74%846543764290565291
14Remparts3300000011931161100000039138220000008027861.0001192133320099926661344834383962056164564100.00%16381.25%843580753.90%40780550.56%37162159.74%846543764290565291
15Royaux2100010011742100010011740000000000030.7501117280099926666948343839620722318355120.00%100100.00%043580753.90%40780550.56%37162159.74%846543764290565291
Total36229011302611041571712201110119437619107000201426181530.73626145972002999266613274834383962011644084536831423524.65%1963582.14%1343580753.90%40780550.56%37162159.74%846543764290565291
17Werewolves11000000211000000000001100000021121.000246009992666314834383962038142158112.50%10100.00%043580753.90%40780550.56%37162159.74%846543764290565291
_Since Last GM Reset36229011302611041571712201110119437619107000201426181530.73626145972002999266613274834383962011644084536831423524.65%1963582.14%1343580753.90%40780550.56%37162159.74%846543764290565291
_Vs Conference201350002019158133861000106920491274000101223884300.75019133852900999266674048343839620648233295390841922.62%1162479.31%1143580753.90%40780550.56%37162159.74%846543764290565291
_Vs Division86300010312563400000016610523000101519-4140.87531538400999266628948343839620256869916635925.71%47980.85%143580753.90%40780550.56%37162159.74%846543764290565291

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3653W12614597201327116440845368302
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
362291130261104
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
17122111011943
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
19107002014261
Derniers 10 Matchs
WLOTWOTL SOWSOL
810100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1423524.65%1963582.14%13
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
483438396209992666
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
43580753.90%40780550.56%37162159.74%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
846543764290565291


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
1 - 2018-10-012Benchwarmers1Requins6WSommaire du Match
3 - 2018-10-0315Requins3Hooligans6LSommaire du Match
5 - 2018-10-0524Requins2Chevalier1WXXSommaire du Match
7 - 2018-10-0732Requins4Jardiniers5LSommaire du Match
8 - 2018-10-0837Barracuda1Requins9WSommaire du Match
10 - 2018-10-1043Requins1Pirates4LSommaire du Match
12 - 2018-10-1258Diabotins1Requins3WSommaire du Match
15 - 2018-10-1572Remparts1Requins39WSommaire du Match
17 - 2018-10-1782Requins4Barbarians9LSommaire du Match
18 - 2018-10-1888Requins4Giants2WSommaire du Match
20 - 2018-10-2099Giants3Requins4WXXSommaire du Match
23 - 2018-10-23112Pirates4Requins5WSommaire du Match
25 - 2018-10-25125Requins3Jardiniers6LSommaire du Match
26 - 2018-10-26133Requins2Werewolves1WSommaire du Match
28 - 2018-10-28140Caribou5Requins11WSommaire du Match
30 - 2018-10-30151Requins38Remparts1WSommaire du Match
31 - 2018-10-31160Barbarians2Requins3WSommaire du Match
33 - 2018-11-02171Requins7Leftovers1WSommaire du Match
35 - 2018-11-04180Pirates1Requins5WSommaire du Match
38 - 2018-11-07191Requins3Hybrides0WSommaire du Match
39 - 2018-11-08198Evil Saints2Requins3WXSommaire du Match
42 - 2018-11-11213Chevalier1Requins6WSommaire du Match
44 - 2018-11-13221Requins1Barbarians4LSommaire du Match
46 - 2018-11-15231Requins3Hybrides5LSommaire du Match
47 - 2018-11-16237Evil Saints5Requins4LSommaire du Match
50 - 2018-11-19248Requins3Benchwarmers2WXXSommaire du Match
51 - 2018-11-20257Barbarians0Requins3WSommaire du Match
53 - 2018-11-22268Requins42Remparts1WSommaire du Match
54 - 2018-11-23278Giants5Requins1LSommaire du Match
58 - 2018-11-27291Hooligans4Requins6WSommaire du Match
59 - 2018-11-28302Requins6Leftovers5WSommaire du Match
61 - 2018-11-30307Requins5Jardiniers3WSommaire du Match
63 - 2018-12-02317Royaux2Requins7WSommaire du Match
64 - 2018-12-03324Requins5Caribou3WSommaire du Match
67 - 2018-12-06336Royaux5Requins4LXSommaire du Match
68 - 2018-12-07348Requins6Benchwarmers2WSommaire du Match
71 - 2018-12-10358Jardiniers-Requins-
73 - 2018-12-12369Requins-Giants-
74 - 2018-12-13378Chevalier-Requins-
78 - 2018-12-17392Barracuda-Requins-
80 - 2018-12-19400Requins-Barracuda-
82 - 2018-12-21410Requins-Caribou-
83 - 2018-12-22418Remparts-Requins-
85 - 2018-12-24430Requins-Royaux-
87 - 2018-12-26436Zombie-Requins-
89 - 2018-12-28449Requins-Royaux-
90 - 2018-12-29456Requins-Hooligans-
91 - 2018-12-30460Casse-Tete-Requins-
94 - 2019-01-02477Casse-Tete-Requins-
95 - 2019-01-03489Requins-Werewolves-
97 - 2019-01-05494Caribou-Requins-
100 - 2019-01-08509St Johns-Requins-
102 - 2019-01-10521Requins-Barracuda-
103 - 2019-01-11531Benchwarmers-Requins-
105 - 2019-01-13541Requins-Evil Saints-
106 - 2019-01-14548Requins-Casse-Tete-
108 - 2019-01-16557St Johns-Requins-
110 - 2019-01-18570Requins-Pirates-
112 - 2019-01-20576Zombie-Requins-
115 - 2019-01-23591Requins-Casse-Tete-
116 - 2019-01-24597Diabotins-Requins-
119 - 2019-01-27612Benchwarmers-Requins-
120 - 2019-01-28618Requins-St Johns-
122 - 2019-01-30628Requins-Diabotins-
123 - 2019-01-31637Diabotins-Requins-
125 - 2019-02-02648Requins-Diabotins-
127 - 2019-02-04656Jardiniers-Requins-
129 - 2019-02-06668Requins-Hooligans-
131 - 2019-02-08675Hooligans-Requins-
134 - 2019-02-11692Barracuda-Requins-
135 - 2019-02-12700Requins-St Johns-
138 - 2019-02-15711Hybrides-Requins-
142 - 2019-02-19727Requins-Evil Saints-
144 - 2019-02-21734Werewolves-Requins-
146 - 2019-02-23748Hybrides-Requins-
148 - 2019-02-25759Requins-Chevalier-
151 - 2019-02-28766Werewolves-Requins-
153 - 2019-03-02779Requins-Zombie-
154 - 2019-03-03788Requins-Pirates-
156 - 2019-03-05795Leftovers-Requins-
159 - 2019-03-08808Requins-Zombie-
161 - 2019-03-10818Leftovers-Requins-



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
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
689,529$ 1,495,867$ 1,276,300$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
9,234$ 689,529$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 92 9,234$ 849,528$




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
Saison Régulière
201684363104481458288170422214020312961361604214170245016215210724587931251311641271551528081005917855642374888129515362939030.72%3848478.13%151091169764.29%1039164563.16%824132362.28%2099142717706521225617
201784393301731394436-42422313013111971781942162000420197258-61783946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
2017841554024542582391942112201233155112434243201221103127-24302584487061590827912206364566072564256387973415802544417.32%3536980.45%18669146645.63%774173844.53%513105748.53%1739101919897261367684
2018362290113026110415717122011101194376191070002014261815326145972002999266613274834383962011644084536831423524.65%1963582.14%1343580753.90%40780550.56%37162159.74%846543764290565291
Total Saison Régulière2881121270816196137110673041436851056857674692981454476031011160459862331371236937405124874414163791393121299629231848484304032065370100525525.37%129128777.77%573198581155.03%3041579052.52%2448441455.46%674944066322232143782187
Séries
2016844000002933-44220000013112422000001622-682951800061211025568909702667518013819736.84%46980.43%39215858.23%11919461.34%7512460.48%1891281835710651
201651400000612-6211000003303030000039-62691500041111933374811856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
2017945000002638-12532000001620-4413000001018-882645710012752315109113885271959914648612.50%421271.43%212321656.94%8418545.41%7212458.06%2211502026912360
Total Séries22913000006183-221165000003234-21138000002949-2018611051660018231736892102402336722235305353821315.85%962376.04%524645953.59%24850748.92%16630454.61%501338525169303141