beholdershellpepitosKingspatriots

 

 


Hooligans

GP: 37 | W: 21 | L: 12 | OTL: 4 | P: 46
GF: 345 | GA: 134 | PP%: 32.68% | PK%: 76.47%
DG: Maxime Lord | Morale : 50 | Moyenne d'Équipe : 76
Prochain matchs #367 vs Benchwarmers
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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
1Colton Sissons0X100.00814661396270807381827971595146050830
2Danton Heinen0X100.00442973334268897540878171694036050810
3Adrian Kempe0XX100.00663761305361847173838172744843047810
4Tim Schaller0X100.00784158437559816761808268674846050800
5Matt Moulson0XX100.00453579367351817132808259807057050780
6Mike Ribeiro0X100.00493665435675776174796848848370050770
7Frank Vatrano0X100.00733753314954707341798762694237050770
8Jonny Brodzinski0X100.00693372397444856936798662684234050770
9Drake Caggiula0X100.00834062343763736958798363624134050770
10Marcus Sorensen0X100.00593966493447866436798066634838050740
11Michael Amadio (R)0X100.00462679406142766569807855654543050730
12Spencer Foo0X100.00613374514674775832687961653531050730
13Zach Aston-Reese (R)0X100.00924159546449656136737671644245050730
14Ales Hemsky0X100.00313463454856295931717864847968050710
15Dryden Hunt (R)0X100.00853465645148775833707658644239050700
16Frederick Gaudreau0X100.00443389593542756075757654634638050690
17Brandon Montour0X100.00543762444972848725857576734036048850
18Erik Gustafsson0X100.00493769423567848931857570615042050840
19Nick Schultz0X100.00643773597655797030726765408174050780
20Brett Kulak0X100.00473863495048848127797161624437050760
21Paul LaDue0X100.00573265456254737930767162644235050760
22Christian Wolanin (R)0X100.00413386524553787330736862653533050730
23Evan McEneny0X100.00263283596555776931726554654136050720
Rayé
1Connor Brown0X100.00393480364072927557828273674946050820
2Mark Jankowski0X100.00423761366862877183778567713936050800
3Ryan Carpenter0X100.00773869416359886876808268634644050800
4Sean Malone0X100.00263285615256795631677353653531050670
5Griffen Molino0X100.00323382683148775631677254653529050650
6Justin Kloos0X100.00512863643238775631677051654040050630
7TJ Tynan0X100.00373290702732735631677049654742050620
8Sami Niku (R)0X100.00263084583355766931726655654437050710
MOYENNE D'ÉQUIPE100.0054357148515678684576766266474205075
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
1Jack Campbell100.0081856579838291858567725974050840
2Ken Appleby100.0080886381828191848568712954050810
Rayé
MOYENNE D'ÉQUIPE100.008187648083829185856872446405083
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Colton SissonsHooligans (HOO)C37647013482521088902307213127.83%4092124.911017275211422491033264.11%8362825062.9102101636
2Erik GustafssonHooligans (HOO)D374588133701202588189787223.81%9293625.32142135671512358120420.00%02649062.8400000814
3Matt MoulsonHooligans (HOO)LW/RW373672108528025301654512121.82%1559716.1410162645117000056051.28%394110043.6200000053
4Drake CaggiulaHooligans (HOO)RW37495410364321069431755911628.00%3269618.827111839111000003040.74%273917082.9600002431
5Dryden HuntHooligans (HOO)LW372963926418094341425811820.42%2370018.92491325112000002037.84%379816042.6300000140
6Frank VatranoHooligans (HOO)C37482573473206248160408830.00%1645712.3500000000001046.08%3322015063.1900000202
7Spencer FooHooligans (HOO)RW371349624720363399396413.13%1245012.1700000000000158.33%24379012.7500000011
8Brett KulakHooligans (HOO)D379475661295162571443512.68%4767618.271452280000354000.00%0932011.6601010000
9Tim SchallerHooligans (HOO)C3715193425180293054173527.78%132647.15000000001131062.65%24997022.5712000010
10Marcus SorensenHooligans (HOO)RW371220322540101052133123.08%82396.4800000000000145.45%11261012.6700000000
11Nick SchultzHooligans (HOO)D378182660160294246291917.39%3966818.080001078000250000.00%0521020.7800000000
12Paul LaDueHooligans (HOO)D37218203710025283120106.45%3638310.360000100000000.00%0211001.0400000000
13Christian WolaninHooligans (HOO)D37413173600628199921.05%2840110.8500000000018000.00%0210000.8500000000
14Evan McEnenyHooligans (HOO)D37110112400015128108.33%142175.890000000001000.00%005001.0100000000
15Brandon MontourHooligans (HOO)D7459-240111731161612.90%1619728.203251744000129010.00%047000.9100000110
16Adrian KempeHooligans (HOO)C/LW5066-14067198140.00%712224.5304432800002000100.00%512000.9800000001
17Alexander KerfootHoodlumsC/LW230310014123725.00%14120.50101713000030044.12%3400001.4600000010
18Mike RibeiroHooligans (HOO)C37112-2204364116.67%1812.2101109101150056.67%3003000.4900000000
19Jonny BrodzinskiHooligans (HOO)C371010001131333.33%080.230001100000000.00%100002.3500000000
20Zach Aston-ReeseHooligans (HOO)C37000-4208137450.00%7842.29000000007670032.00%5042000.0000000000
Stats d'équipe Total ou en Moyenne64334457892268624525545589152356790522.59%447814712.67508513528886555103249320757.43%16753512420412.2615113222018
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
1Jack CampbellHooligans (HOO)37211240.8983.592205011321288728200.8758370341
2Ken ApplebyHooligans (HOO)20001.0000.00270002116010.0000037000
Stats d'équipe Total ou en Moyenne39211240.8993.552232011321309744210.87583737341


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
Adrian KempeHooligans (HOO)C/LW221996-09-13No195 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm894,167$0$0$NoLien / Lien NHL
Ales HemskyHooligans (HOO)RW351983-08-13No177 Lbs183 CMNoNoNo1Sans RestrictionPro & Farm760,001$0$0$NoLien / Lien NHL
Brandon MontourHooligans (HOO)D241994-04-11No192 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Brett KulakHooligans (HOO)D241994-01-06No187 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm817,000$0$0$NoLien
Christian WolaninHooligans (HOO)D231995-03-17Yes185 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Colton SissonsHooligans (HOO)C241993-11-05No200 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Connor BrownHooligans (HOO)RW241994-01-14No185 Lbs183 CMNoNoNo3Avec RestrictionPro & Farm2,100,000$0$0$NoLien / Lien NHL
Danton HeinenHooligans (HOO)C231995-07-05No185 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm995,833$0$0$NoLien
Drake CaggiulaHooligans (HOO)RW241994-06-20No185 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm1,350,000$0$0$NoLien / Lien NHL
Dryden HuntHooligans (HOO)LW221995-11-24Yes197 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Erik GustafssonHooligans (HOO)D261992-03-14No176 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Evan McEnenyHooligans (HOO)D241994-05-22No203 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm450,001$0$0$NoLien
Frank VatranoHooligans (HOO)C241994-03-14No201 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Frederick GaudreauHooligans (HOO)C251993-05-01No179 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm595,000$0$0$NoLien / Lien NHL
Griffen MolinoHooligans (HOO)C241994-01-21No171 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm450,000$0$0$NoLien / Lien NHL
Jack CampbellHooligans (HOO)G261992-01-09No197 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm612,500$0$0$NoLien / Lien NHL
Jonny BrodzinskiHooligans (HOO)C251993-06-19No217 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Justin KloosHooligans (HOO)C241993-11-30No180 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Ken ApplebyHooligans (HOO)G231995-04-10No210 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm635,000$0$0$NoLien
Marcus SorensenHooligans (HOO)RW261992-04-07No175 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Mark JankowskiHooligans (HOO)C241994-09-13No202 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm1,493,750$0$0$NoLien
Matt MoulsonHooligans (HOO)LW/RW341983-11-01No203 Lbs185 CMNoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Michael AmadioHooligans (HOO)C221996-05-13Yes204 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Mike RibeiroHooligans (HOO)C381980-02-10No179 Lbs183 CMNoNoNo1Sans RestrictionPro & Farm450,000$0$0$NoLien / Lien NHL
Nick SchultzHooligans (HOO)D361982-08-25No203 Lbs185 CMNoNoNo1Sans RestrictionPro & Farm450,000$0$0$NoLien / Lien NHL
Paul LaDueHooligans (HOO)D261992-09-06No198 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Ryan CarpenterHooligans (HOO)C271991-01-18No200 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Sami NikuHooligans (HOO)D211996-10-10Yes176 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm916,667$0$0$NoLien
Sean MaloneHooligans (HOO)C231995-04-30No197 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Spencer FooHooligans (HOO)RW241994-05-19No190 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,775,000$0$0$NoLien
TJ TynanHooligans (HOO)C261992-02-25No165 Lbs173 CMNoNoNo1Avec RestrictionPro & Farm600,000$0$0$NoLien / Lien NHL
Tim SchallerHooligans (HOO)C271990-11-16No210 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm600,000$0$0$NoLien
Zach Aston-ReeseHooligans (HOO)C241994-08-10Yes204 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3325.58192 Lbs183 CM1.36894,543$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Colton SissonsMatt Moulson40122
2Dryden HuntDrake Caggiula30122
3Colton SissonsTim SchallerMarcus Sorensen20122
4Frank VatranoSpencer Foo10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik Gustafsson40122
2Nick SchultzBrett Kulak30122
3Paul LaDueChristian Wolanin20122
4Evan McEneny10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Colton SissonsMatt Moulson60122
2Dryden HuntDrake Caggiula40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik Gustafsson60122
2Nick SchultzBrett Kulak40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Colton Sissons60122
2Tim Schaller40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik Gustafsson60122
2Nick SchultzBrett Kulak40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Colton Sissons60122Erik Gustafsson60122
240122Nick SchultzBrett Kulak40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Colton Sissons60122
2Tim Schaller40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik Gustafsson60122
2Nick SchultzBrett Kulak40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Colton SissonsMatt MoulsonErik Gustafsson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Colton SissonsMatt MoulsonErik Gustafsson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mike Ribeiro, Jonny Brodzinski, Zach Aston-ReeseMike Ribeiro, Jonny BrodzinskiZach Aston-Reese
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Paul LaDue, Christian Wolanin, Evan McEnenyPaul LaDueChristian Wolanin, Evan McEneny
Tirs de Pénalité
Colton Sissons, , , Tim Schaller, Matt Moulson
Gardien
#1 : Jack Campbell, #2 : Ken Appleby


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
1Barracuda2010001056-12010001056-10000000000020.5005813001571147318161044046615732420393133.33%10280.00%041382550.06%33876044.47%36073449.05%901632809273526263
2Benchwarmers2200000010372200000010370000000000041.0001016260015711473190610440466158923122610330.00%60100.00%141382550.06%33876044.47%36073449.05%901632809273526263
3Caribou3120000013112110000007342020000068-220.33313213400157114731131610440466159518233813430.77%10550.00%041382550.06%33876044.47%36073449.05%901632809273526263
4Casse-Tete31200000815-7211000007611010000019-820.33381523001571147311226104404661512641165110110.00%8275.00%041382550.06%33876044.47%36073449.05%901632809273526263
5Evil Saints210000011010021000001101000000000000030.75010172700157114731906104404661573248304125.00%4250.00%041382550.06%33876044.47%36073449.05%901632809273526263
6Giants53200000231673210000014772110000099060.6002343660115711473118961044046615183714457261246.15%22577.27%041382550.06%33876044.47%36073449.05%901632809273526263
7Hybrides21000100541110000003121000010023-130.7505712001571147317361044046615672010285240.00%50100.00%041382550.06%33876044.47%36073449.05%901632809273526263
8Leftovers320001001815300000000000320001001815350.833182947001571147311236104404661512138344522836.36%11372.73%041382550.06%33876044.47%36073449.05%901632809273526263
9Pirates11000000422000000000001100000042221.000471100157114731366104404661535106204250.00%30100.00%041382550.06%33876044.47%36073449.05%901632809273526263
10Remparts5500000020882003300000012631232200000082577101.00020835756500157114731246610440466159840165811100.00%8275.00%341382550.06%33876044.47%36073449.05%901632809273526263
11Requins211000001091110000006331010000046-220.5001017271015711473176610440466156531254718633.33%10190.00%041382550.06%33876044.47%36073449.05%901632809273526263
12Royaux312000001314-100000000000312000001314-120.333132235001571147311126104404661512736205121628.57%10280.00%041382550.06%33876044.47%36073449.05%901632809273526263
13St Johns21100000910-1110000006331010000037-420.50091625001571147317061044046615763817286116.67%6350.00%041382550.06%33876044.47%36073449.05%901632809273526263
Total372012003113451342111813300011194451491979003001518962460.6223455899341115711473115236104404661513104492635501535032.68%1192876.47%541382550.06%33876044.47%36073449.05%901632809273526263
15Werewolves20100100911-20000000000020100100911-210.250914230015711473184610440466158235123210220.00%6183.33%141382550.06%33876044.47%36073449.05%901632809273526263
_Since Last GM Reset372012003113451342111813300011194451491979003001518962460.6223455899341115711473115236104404661513104492635501535032.68%1192876.47%541382550.06%33876044.47%36073449.05%901632809273526263
_Vs Conference201540010028263219109100000162191431063001001204476310.7752824857671115711473183061044046615667251154281873337.93%661478.79%441382550.06%33876044.47%36073449.05%901632809273526263
_Vs Division18113001002675920886100000145161291052001001224379230.6392674597260115711473175161044046615602209134250732838.36%611477.05%341382550.06%33876044.47%36073449.05%901632809273526263

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3746W23455899341523131044926355011
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3720120311345134
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
18133001119445
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1979030015189
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1535032.68%1192876.47%5
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
61044046615157114731
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
41382550.06%33876044.47%36073449.05%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
901632809273526263


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2018-10-026Hooligans3Royaux4LSommaire du Match
3 - 2018-10-0315Requins3Hooligans6WSommaire du Match
6 - 2018-10-0627Hooligans6Leftovers4WSommaire du Match
7 - 2018-10-0735Giants5Hooligans2LSommaire du Match
9 - 2018-10-0939Hooligans3St Johns7LSommaire du Match
11 - 2018-10-1154Barracuda1Hooligans2WXXSommaire du Match
14 - 2018-10-1463Hooligans7Leftovers5WSommaire du Match
16 - 2018-10-1674Remparts1Hooligans42WSommaire du Match
18 - 2018-10-1886St Johns3Hooligans6WSommaire du Match
19 - 2018-10-1994Hooligans5Werewolves6LSommaire du Match
21 - 2018-10-21105Hooligans2Hybrides3LXSommaire du Match
23 - 2018-10-23113Casse-Tete2Hooligans4WSommaire du Match
24 - 2018-10-24122Hooligans4Pirates2WSommaire du Match
26 - 2018-10-26132Hybrides1Hooligans3WSommaire du Match
29 - 2018-10-29144Benchwarmers2Hooligans5WSommaire du Match
30 - 2018-10-30155Hooligans4Caribou5LSommaire du Match
32 - 2018-11-01163Hooligans4Royaux1WSommaire du Match
34 - 2018-11-03174Casse-Tete4Hooligans3LSommaire du Match
36 - 2018-11-05186Barracuda5Hooligans3LSommaire du Match
38 - 2018-11-07193Hooligans4Werewolves5LXSommaire du Match
40 - 2018-11-09204Hooligans6Royaux9LSommaire du Match
41 - 2018-11-10209Hooligans42Remparts2WSommaire du Match
43 - 2018-11-12217Remparts1Hooligans40WSommaire du Match
46 - 2018-11-15230Hooligans1Casse-Tete9LSommaire du Match
47 - 2018-11-16236Benchwarmers1Hooligans5WSommaire du Match
50 - 2018-11-19251Giants2Hooligans9WSommaire du Match
52 - 2018-11-21261Hooligans5Leftovers6LXSommaire du Match
53 - 2018-11-22270Hooligans2Caribou3LSommaire du Match
54 - 2018-11-23277Evil Saints6Hooligans7WSommaire du Match
58 - 2018-11-27291Hooligans4Requins6LSommaire du Match
59 - 2018-11-28298Giants0Hooligans3WSommaire du Match
61 - 2018-11-30309Hooligans40Remparts3WSommaire du Match
62 - 2018-12-01316Remparts1Hooligans44WSommaire du Match
64 - 2018-12-03328Hooligans2Giants3LSommaire du Match
66 - 2018-12-05335Evil Saints4Hooligans3LXXSommaire du Match
69 - 2018-12-08349Hooligans7Giants6WSommaire du Match
70 - 2018-12-09356Caribou3Hooligans7WSommaire du Match
72 - 2018-12-11367Hooligans-Benchwarmers-
74 - 2018-12-13375Caribou-Hooligans-
77 - 2018-12-16388Hooligans-Benchwarmers-
78 - 2018-12-17395Diabotins-Hooligans-
82 - 2018-12-21411Hybrides-Hooligans-
84 - 2018-12-23421Hooligans-Barbarians-
86 - 2018-12-25432Hooligans-Zombie-
87 - 2018-12-26437Leftovers-Hooligans-
88 - 2018-12-27447Hooligans-Casse-Tete-
90 - 2018-12-29456Requins-Hooligans-
93 - 2019-01-01470Zombie-Hooligans-
94 - 2019-01-02478Hooligans-Zombie-
95 - 2019-01-03488Hooligans-Diabotins-
98 - 2019-01-06497Diabotins-Hooligans-
100 - 2019-01-08511Hooligans-Hybrides-
101 - 2019-01-09516Chevalier-Hooligans-
103 - 2019-01-11529Zombie-Hooligans-
105 - 2019-01-13542Hooligans-Barbarians-
107 - 2019-01-15549Pirates-Hooligans-
108 - 2019-01-16556Hooligans-Pirates-
110 - 2019-01-18569Chevalier-Hooligans-
114 - 2019-01-22587Werewolves-Hooligans-
116 - 2019-01-24595Hooligans-Barracuda-
118 - 2019-01-26608Pirates-Hooligans-
120 - 2019-01-28617Hooligans-Chevalier-
121 - 2019-01-29625Hooligans-Jardiniers-
123 - 2019-01-31633Werewolves-Hooligans-
124 - 2019-02-01644Hooligans-Jardiniers-
126 - 2019-02-03653Barbarians-Hooligans-
129 - 2019-02-06668Requins-Hooligans-
131 - 2019-02-08675Hooligans-Requins-
134 - 2019-02-11691St Johns-Hooligans-
136 - 2019-02-13703Leftovers-Hooligans-
138 - 2019-02-15712Hooligans-Diabotins-
140 - 2019-02-17718Hooligans-Chevalier-
142 - 2019-02-19728Royaux-Hooligans-
145 - 2019-02-22740Hooligans-St Johns-
146 - 2019-02-23750Jardiniers-Hooligans-
149 - 2019-02-26760Hooligans-St Johns-
150 - 2019-02-27763Hooligans-Evil Saints-
152 - 2019-03-01772Hooligans-Barracuda-
153 - 2019-03-02778Barbarians-Hooligans-
154 - 2019-03-03786Hooligans-Evil Saints-
157 - 2019-03-06798Royaux-Hooligans-
160 - 2019-03-09814Jardiniers-Hooligans-



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
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,296,723$ 2,951,992$ 2,475,658$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
18,222$ 1,296,723$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 92 18,222$ 1,676,424$




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
201684195301326255252342132101124116102144263200202139150-11382554146694379888552460777797880393014111283716192494819.28%3117476.21%9497162630.57%512204725.01%294104028.27%1673110523006461113502
20178438310453333031317422312012221631333042151903311167180-137633053886822118110957276992293689537246191241915103078126.38%2094677.99%18814178345.65%606148340.86%566121646.55%1942131219356381205591
201784313703661242224184217180123110610514214190243013611917622424216632482698210246081880080959243684160121382894716.26%2857175.09%4957167957.00%854166051.45%51299851.30%1925119718476881322675
2018372012003113451342111813300011194451491979003001518962463455899341115711473115236104404661513104492635501535032.68%1192876.47%541382550.06%33876044.47%36073449.05%901632809273526263
Total Saison Régulière289108133081712111172923249144665403588579385194145427905124359353855222117219623134910436381335239212312729733050150922133142120581799822622.65%92421976.30%362681591345.34%2310595038.82%1732398843.43%644242476891224741672034
Séries
201640400000510-52020000025-32020000035-2058130001409420472341505715702129.52%50100.00%06876.90%189119.78%64613.04%6639129335123
2016624000001419-53120000078-131200000711-4414243800445120059636315185526312427311.11%241058.33%010013772.99%8312466.94%497169.01%1661071335710856
20171697000004754-78620000028208835000001934-151847801270019121335461821891631257421386238862427.91%43881.40%016139840.45%12636134.90%8322437.05%359243411130223105
2017954000001919043100000103752300000916-71019264504477128689831068199756822819315.79%34488.24%012818170.72%8213162.60%599661.46%2471671726213273
Total Séries3516190000085102-17171070000047361118612000003866-28328513822304272429511263503823553911083972326601533220.92%1062279.25%039580349.19%30970743.71%19743745.08%840558847282515258