hellpepitosKingspatriots

 

 


Leftovers

GP: 6 | W: 2 | L: 4 | OTL: 0 | P: 4
GF: 46 | GA: 22 | PP%: 15.00% | PK%: 75.00%
DG: Francois Bedard | Morale : 50 | Moyenne d'Équipe : 67
Prochain matchs #49 vs Barracuda
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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
1Scott Laughton0XX100.00793653416163777077798172725561050710
2Jamie McGinn0XX100.00793963357857557337798353687460050700
3Pontus Aberg0XX100.00521065345865777233808256745534050700
4Jujhar Khaira0X100.00814254438358676762798166714555050690
5Filip Chytil0XXX100.00422174366765787053788156723637050690
6Oscar Lindberg0XX100.00792356386856777164778154716446050690
7Matt Martin0XX100.00924949509149716352778052697067050680
8Tobias Rieder0XXX100.00682475455262766438787971736751050680
9Joakim Nordstrom0X100.00782773476358726447767961696048050670
10Boo Nieves0X100.00692163467645786570788253663740050660
11Phillip Di Giuseppe0X100.00832859425847766757777948764545050650
12Filip Zadina (R)0X100.00352083525372825833667467683738050640
13Brett Pesce0X100.00531870447274708463867875604437050730
14Alex Biega0X100.00852754446560808528857649645662050720
15Mike Reilly0X100.00551466446263808229827550654534050700
16Kevin Gravel0X100.00622975498154887929807361654748050690
17Mark Borowiecki0XX100.00964835498355448031807465595565050690
18Robert Bortuzzo0X100.00824246488754618026817556586259050680
Rayé
1Austin Czarnik0X100.00392372383751787057808152705151050670
2Scott Wilson0X100.00813272445555606548777963634447050650
3Vinni Lettieri0X100.00792654455449846352757851663942050640
4Nail Yakupov0XX100.00652457395849716531727954755345050640
5Markus Hannikainen0X100.00801275486641716536737947705239050630
6Kalle Kossila0XXX100.00401773604945815936667559674441050600
7Nic Petan0XX100.00362967544235796139687747655059050600
8Steven Fogarty0X100.00402380677835825733657161684151050590
9Jaycob Megna0X100.00622463508654847830787461664451050680
10Chris Wideman0X100.00773147445346648328827746705357050680
11Dean Kukan0X100.00562367475850778030827639665744050680
12Yannick Weber0X100.00732462476641608025797535757052050670
13Erik Brannstrom (R)0X100.00292083583465836731726862683842050650
14Libor Hajek (R)0X100.00392574596660736831726961684447050650
15Ryan Sproul0X100.00372678567659786830727054664947050650
16Chris Bigras0X100.00402581595850786830726954664550050630
MOYENNE D'ÉQUIPE100.0063276547655474704177775668514905067
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
1Michael Hutchinson100.0083928280828985868879757372050800
2Christopher Gibson100.0082888278828587859053616467050790
Rayé
MOYENNE D'ÉQUIPE100.008390827982878686896668697005080
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn94867957717650USA534450,000$


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
1Phillip Di GiuseppeLeftovers (Tru)RW69817176071144564.29%07312.2800000303310050.00%223014.6200000100
2Brett PesceLeftovers (Tru)D601616122041313580.00%1314624.49011117000028000.00%0510002.1800000000
3Scott LaughtonLeftovers (Tru)C/LW669151020112118111633.33%712921.510113150000300067.77%12133012.3200000020
4Jujhar KhairaLeftovers (Tru)LW6931286010112241440.91%410617.760112140001130050.00%660012.2500000100
5Boo NievesLeftovers (Tru)C67512110001733100.00%1325.4900001022080086.96%2312017.2900000001
6Mike ReillyLeftovers (Tru)D61111216202545825.00%613021.67000114022233000.00%026001.8500000000
7Tobias RiederLeftovers (Tru)C/LW/RW64812122028135330.77%07913.2200000123160046.00%5048013.0300000000
8Pontus AbergLeftovers (Tru)LW/RW637101240521521120.00%211819.740115160002360058.33%1200011.6900000000
9Filip ZadinaLeftovers (Tru)RW633672001303100.00%3416.9100000000001050.00%231012.9000000000
10Filip ChytilLeftovers (Tru)C/LW/RW5213-10004144614.29%17915.92202414000000050.00%200000.7500000000
11Alex BiegaLeftovers (Tru)D50220801238580.00%312725.47000217000126000.00%011000.3100000000
12Oscar LindbergLeftovers (Tru)C/RW5022-10012511560.00%07915.92022114000000054.55%5530000.5000000000
13Kevin GravelLeftovers (Tru)D5101-2002463016.67%46012.180000000000000.00%010000.3300000000
14Jamie McGinnLeftovers (Tru)LW/RW5101-3607413277.69%17915.951015160000131053.85%1310000.2500000000
15Robert BortuzzoLeftovers (Tru)D5011-260505110.00%46913.9800000000010000.00%002000.2900000000
16Joakim NordstromLeftovers (Tru)C5000-220136040.00%1306.1600000000000047.06%1700000.0000000000
17Matt MartinLeftovers (Tru)LW/RW50000120608770.00%17414.95000000001120050.00%850000.0000000000
18Mark BorowieckiLeftovers (Tru)LW/D5000-32001097440.00%710220.59000514000020000.00%014000.0000000000
Stats d'équipe Total ou en Moyenne9946761229180096951877011424.60%58156415.80369291564610112432060.13%3113840071.5600000221
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
1Christopher GibsonLeftovers (Tru)11000.9002.0060002208000.000016000
2Michael HutchinsonLeftovers (Tru)51400.8674.00300002015078000.000050000
Stats d'équipe Total ou en Moyenne62400.8713.67360002217086000.000066000


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
Alex BiegaLeftovers (Tru)D311988-04-04No199 Lbs178 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Austin CzarnikLeftovers (Tru)C261992-12-12No170 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm1,250,000$0$0$NoLien
Boo NievesLeftovers (Tru)C251994-01-23No210 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Brett PesceLeftovers (Tru)D241994-11-15No206 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm809,167$0$0$NoLien / Lien NHL
Chris BigrasLeftovers (Tru)D241995-02-22No191 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm874,125$0$0$NoLien / Lien NHL
Chris WidemanLeftovers (Tru)D291990-01-07No183 Lbs178 CMNoNoNo1Sans RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Christopher GibsonLeftovers (Tru)G261992-12-27No207 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Dean KukanLeftovers (Tru)D261993-07-08No186 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Erik BrannstromLeftovers (Tru)D201999-09-02Yes173 Lbs178 CMNoNoNo2Contrat d'EntréePro & Farm1,313,333$0$0$NoLien
Filip ChytilLeftovers (Tru)C/LW/RW201999-09-05No208 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm1,275,000$0$0$NoLien
Filip ZadinaLeftovers (Tru)RW191999-11-27Yes195 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,744,167$0$0$NoLien
Jamie McGinnLeftovers (Tru)LW/RW311988-08-05No205 Lbs185 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Jaycob MegnaLeftovers (Tru)D261992-12-10No221 Lbs198 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Joakim NordstromLeftovers (Tru)C271992-02-25No194 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,275,000$0$0$NoLien / Lien NHL
Jujhar KhairaLeftovers (Tru)LW251994-08-13No212 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Kalle KossilaLeftovers (Tru)C/LW/RW261993-04-14No185 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Kevin GravelLeftovers (Tru)D271992-03-06No211 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Libor HajekLeftovers (Tru)D211998-02-04Yes204 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm894,166$0$0$NoLien
Mark BorowieckiLeftovers (Tru)LW/D301989-07-12No207 Lbs185 CMNoNoNo2Sans RestrictionPro & Farm1,440,000$0$0$NoLien / Lien NHL
Markus HannikainenLeftovers (Tru)LW261993-03-26No200 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Matt MartinLeftovers (Tru)LW/RW301989-05-08No220 Lbs191 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Michael HutchinsonLeftovers (Tru)G291990-03-02No200 Lbs191 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Mike ReillyLeftovers (Tru)D261993-07-13No195 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm725,000$0$0$NoLien / Lien NHL
Nail YakupovLeftovers (Tru)LW/RW251993-10-06No195 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm962,500$0$0$NoLien / Lien NHL
Nic PetanLeftovers (Tru)C/LW241995-03-22No179 Lbs175 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Oscar LindbergLeftovers (Tru)C/RW271991-10-29No202 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm1,700,000$0$0$NoLien / Lien NHL
Phillip Di GiuseppeLeftovers (Tru)RW251993-10-09No192 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm725,000$0$0$NoLien / Lien NHL
Pontus AbergLeftovers (Tru)LW/RW261993-09-23No196 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Robert BortuzzoLeftovers (Tru)D301989-03-18No216 Lbs193 CMNoNoNo2Sans RestrictionPro & Farm1,656,000$0$0$NoLien / Lien NHL
Ryan SproulLeftovers (Tru)D261993-01-13No205 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm687,500$0$0$NoLien / Lien NHL
Scott LaughtonLeftovers (Tru)C/LW251994-05-30No190 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm962,500$0$0$NoLien / Lien NHL
Scott WilsonLeftovers (Tru)RW271992-04-24No186 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm1,050,000$0$0$NoLien / Lien NHL
Steven FogartyLeftovers (Tru)C261993-04-19No210 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Tobias RiederLeftovers (Tru)C/LW/RW261993-01-10No186 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm2,225,000$0$0$NoLien / Lien NHL
Vinni LettieriLeftovers (Tru)C241995-02-06No191 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Yannick WeberLeftovers (Tru)D311988-09-23No200 Lbs180 CMNoNoNo1Sans RestrictionPro & Farm1,224,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3626.00198 Lbs185 CM1.39973,402$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pontus AbergScott LaughtonJamie McGinn40122
2Jujhar KhairaOscar LindbergFilip Chytil30122
3Matt MartinTobias RiederPhillip Di Giuseppe20122
4Scott LaughtonJoakim NordstromFilip Zadina10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceAlex Biega40122
2Mike ReillyMark Borowiecki30122
3Kevin GravelRobert Bortuzzo20122
4Brett PesceAlex Biega10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pontus AbergScott LaughtonJamie McGinn60122
2Jujhar KhairaOscar LindbergFilip Chytil40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceAlex Biega60122
2Mike ReillyMark Borowiecki40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Scott LaughtonPontus Aberg60122
2Jamie McGinnJujhar Khaira40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceAlex Biega60122
2Mike ReillyMark Borowiecki40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Scott Laughton60122Brett PesceAlex Biega60122
2Pontus Aberg40122Mike ReillyMark Borowiecki40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Scott LaughtonPontus Aberg60122
2Jamie McGinnJujhar Khaira40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceAlex Biega60122
2Mike ReillyMark Borowiecki40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pontus AbergScott LaughtonJamie McGinnBrett PesceAlex Biega
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pontus AbergScott LaughtonJamie McGinnBrett PesceAlex Biega
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Boo Nieves, Tobias Rieder, Matt MartinBoo Nieves, Tobias RiederMatt Martin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevin Gravel, Robert Bortuzzo, Mike ReillyKevin GravelRobert Bortuzzo, Mike Reilly
Tirs de Pénalité
Scott Laughton, Pontus Aberg, Jamie McGinn, Mark Borowiecki, Jujhar Khaira
Gardien
#1 : Michael Hutchinson, #2 : Christopher Gibson


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
1Barracuda1010000013-2000000000001010000013-200.00012300171118027635569031111215300.00%6266.67%06010358.25%7512659.52%6310361.17%14093131478843
2Caribou1010000014-3000000000001010000014-300.000123001711180286355690291020236116.67%10370.00%06010358.25%7512659.52%6310361.17%14093131478843
3Chevalier1010000016-5000000000001010000016-500.00012300171118038635569033111617300.00%8275.00%06010358.25%7512659.52%6310361.17%14093131478843
4Requins110000003823611000000382360000000000021.000386510300171118038635569020669000.00%30100.00%46010358.25%7512659.52%6310361.17%14093131478843
Total62400000462224321000004393430300000313-1040.3334680126001711180187635569017060809920315.00%401075.00%46010358.25%7512659.52%6310361.17%14093131478843
6Werewolves2110000057-22110000057-20000000000020.5005914001711180566355690572226358225.00%13376.92%06010358.25%7512659.52%6310361.17%14093131478843
_Since Last GM Reset62400000462224321000004393430300000313-1040.3334680126001711180187635569017060809920315.00%401075.00%46010358.25%7512659.52%6310361.17%14093131478843
_Vs Conference110000003823611000000382360000000000021.000386510300171118038635569020669000.00%30100.00%46010358.25%7512659.52%6310361.17%14093131478843
_Vs Division1000000013-2000000000001000000013-200.00012300171118027635569031111215300.00%6266.67%06010358.25%7512659.52%6310361.17%14093131478843

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
64L1468012618717060809900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62400004622
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000439
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000313
Derniers 10 Matchs
WLOTWOTL SOWSOL
240000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
20315.00%401075.00%4
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
63556901711180
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
6010358.25%7512659.52%6310361.17%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
14093131478843


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 - 2019-10-065Requins2Leftovers38WSommaire du Match
2 - 2019-10-0710Leftovers1Chevalier6LSommaire du Match
5 - 2019-10-1019Leftovers1Caribou4LSommaire du Match
6 - 2019-10-1121Leftovers1Barracuda3LSommaire du Match
8 - 2019-10-1330Werewolves4Leftovers5WSommaire du Match
10 - 2019-10-1539Werewolves3Leftovers0LSommaire du Match
13 - 2019-10-1849Barracuda-Leftovers-
16 - 2019-10-2160Leftovers-Pirates-
17 - 2019-10-2267Caribou-Leftovers-
20 - 2019-10-2576Pirates-Leftovers-
21 - 2019-10-2684Leftovers-Casse-Tete-
23 - 2019-10-2889Leftovers-Pirates-
25 - 2019-10-3097Werewolves-Leftovers-
26 - 2019-10-31102Leftovers-Royaux-
28 - 2019-11-02110Leftovers-Royaux-
30 - 2019-11-04117Royaux-Leftovers-
32 - 2019-11-06126Leftovers-Pirates-
33 - 2019-11-07131Benchwarmers-Leftovers-
36 - 2019-11-10143Hybrides-Leftovers-
37 - 2019-11-11149Leftovers-Jardiniers-
40 - 2019-11-14157Caribou-Leftovers-
42 - 2019-11-16167Leftovers-Chevalier-
43 - 2019-11-17170Jardiniers-Leftovers-
45 - 2019-11-19182Hooligans-Leftovers-
46 - 2019-11-20185Leftovers-Werewolves-
49 - 2019-11-23197Leftovers-Casse-Tete-
50 - 2019-11-24201Casse-Tete-Leftovers-
52 - 2019-11-26212Leftovers-Barracuda-
54 - 2019-11-28215Leftovers-Pirates-
55 - 2019-11-29222Pirates-Leftovers-
57 - 2019-12-01230Leftovers-Pirates-
59 - 2019-12-03237Barracuda-Leftovers-
61 - 2019-12-05244Leftovers-Royaux-
62 - 2019-12-06251Barracuda-Leftovers-
64 - 2019-12-08260Werewolves-Leftovers-
65 - 2019-12-09264Leftovers-Jardiniers-
67 - 2019-12-11273Leftovers-Diabotins-
70 - 2019-12-14282Requins-Leftovers-
71 - 2019-12-15291Hybrides-Leftovers-
73 - 2019-12-17297Leftovers-Requins-
75 - 2019-12-19303Leftovers-Barracuda-
77 - 2019-12-21310Leftovers-Caribou-
78 - 2019-12-22315Vagabond-Leftovers-
80 - 2019-12-24325Hooligans-Leftovers-
84 - 2019-12-28336Vagabond-Leftovers-
85 - 2019-12-29342Leftovers-Vagabond-
88 - 2020-01-01352Royaux-Leftovers-
89 - 2020-01-02361Jardiniers-Leftovers-
90 - 2020-01-03367Pirates-Leftovers-
92 - 2020-01-05371Leftovers-Benchwarmers-
94 - 2020-01-07378Leftovers-Caribou-
96 - 2020-01-09384Leftovers-Hooligans-
97 - 2020-01-10391Leftovers-Chevalier-
99 - 2020-01-12398Casse-Tete-Leftovers-
102 - 2020-01-15409Leftovers-Diabotins-
104 - 2020-01-17415Requins-Leftovers-
106 - 2020-01-19423Leftovers-Casse-Tete-
107 - 2020-01-20428Chevalier-Leftovers-
108 - 2020-01-21436Leftovers-Caribou-
111 - 2020-01-24444Leftovers-Requins-
112 - 2020-01-25448Werewolves-Leftovers-
115 - 2020-01-28459Benchwarmers-Leftovers-
116 - 2020-01-29463Leftovers-Vagabond-
118 - 2020-01-31472Leftovers-Benchwarmers-
119 - 2020-02-01477Diabotins-Leftovers-
122 - 2020-02-04489Leftovers-Vagabond-
123 - 2020-02-05493Requins-Leftovers-
127 - 2020-02-09505Diabotins-Leftovers-
130 - 2020-02-12514Leftovers-Royaux-
131 - 2020-02-13521Werewolves-Leftovers-
134 - 2020-02-16527Leftovers-Werewolves-
135 - 2020-02-17535Diabotins-Leftovers-
139 - 2020-02-21546Pirates-Leftovers-
140 - 2020-02-22550Leftovers-Hooligans-
141 - 2020-02-23556Leftovers-Barracuda-
143 - 2020-02-25566Jardiniers-Leftovers-
145 - 2020-02-27573Leftovers-Hybrides-
146 - 2020-02-28580Chevalier-Leftovers-
148 - 2020-03-01586Leftovers-Hybrides-
150 - 2020-03-03594Barracuda-Leftovers-
152 - 2020-03-05600Leftovers-Jardiniers-
154 - 2020-03-07606Leftovers-Benchwarmers-
156 - 2020-03-09613Caribou-Leftovers-
160 - 2020-03-13624Chevalier-Leftovers-



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
214,980$ 3,504,247$ 2,599,729$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
21,498$ 214,980$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 21,498$ 3,289,194$




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
201684280010013142066-17524204101000149998-84942239000011651068-9034314560874001071041021249283185879982120772202215863286921.04%41227932.28%81071168463.60%52784662.29%1796302759.33%2002129416996261346666
20168446220732444219225042297021122548616842171505212188106829244277412160413813416111260683388985451221481993918532756222.55%3235682.66%141033165662.38%987159162.04%783121764.34%2097138617146651277661
201784293905146245378-13342161702034119191-7242132203112126187-61582454186631481758013220069775471666259688666715682855619.65%3246978.70%11654154842.25%735165644.38%499120441.45%1809112019826971313650
2017842439073653042455942161405313169104654282502052135141-648304530834231121017818256282685183191231275771418812814415.66%3486780.75%141029172959.51%997159862.39%701112562.31%2049133717766711298660
201882432404245465289176412710000312401241164116140421422516560864658311296021901581091032211166105197556263393487718143388525.15%4168380.05%241110191957.84%1022176357.97%788130660.34%2023132416996551250644
201882244803421473374994115200222026117388419280120121220111484738241297222001451238302911659109402529221056130115222716122.51%54914573.59%251112178462.33%1211197461.35%880141562.19%1895123318526531204603
201962400000462224321000004393430300000313-1044680126001711180187635569017060809920315.00%401075.00%46010358.25%7512659.52%6310361.17%14093131478843
Total Saison Régulière50617025602713182222893566-12772531051100126101012351685-45025365146015781210541881-8273402289401763065158457286716116297558153685184297149675284660010323179838021.13%241270970.61%10060691042358.23%5554955458.13%5510939758.64%12018779010854401777793929
Séries
2016161150000055352076100000321220954000002323022551021570221211125561691891899431144165310601931.67%55983.64%119935755.74%16330653.27%11121052.86%410278331124233120
2016954000001918153200000101004220000098110193251009361293113701064247941141932328.70%43783.72%212118665.05%13519369.95%7510273.53%2451711776712565
2017514000001318-52110000087130300000511-62132336007420143434455118852548623521.74%27388.89%1549954.55%4912937.98%226036.67%10768128407034
2017514000001119-82110000076130300000413-92111829004250191654776317473569311327.27%29968.97%17710573.33%8212864.06%446765.67%12484111376734
20181156000003539-45230000019181633000001621-510355792102067241615112612910399148138268581322.41%641871.88%314329348.81%13826152.87%6714845.27%25815526010118189
2018514000001827-9211000001210230300000617-112183452009630154674339521871948426311.54%371267.57%04510742.06%8314955.70%447757.14%10361132457435
Total Séries51242700000151156-52314900000886325281018000006393-3048151266417127042345175360851959432165758262110342014522.39%2555877.25%8639114755.71%650116655.75%36366454.67%12498191143416753380