hellpepitosKingspatriots

 

 


Vagabond

GP: 5 | W: 5 | L: 0 | OTL: 0 | P: 10
GF: 20 | GA: 10 | PP%: 23.81% | PK%: 86.21%
DG: Jonathan Therrien | Morale : 50 | Moyenne d'Équipe : 69
Prochain matchs #46 vs Chevalier
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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
1Kyle Okposo0X100.00642856318169607555818364847279050750
2Derek Ryan0XX100.00412464345668797484828372736359047740
3Nick Ritchie0X100.00823733338667687437828262755060050730
4Antoine Roussel0X100.00774930397861647157818266757175050720
5Colin White0X100.00401864324875737576828367693940050720
6Devin Shore0X100.00652374366969777059818270714347050720
7Jesper Bratt0X100.00491873323770657661848470764136050710
8Oskar Lindblom0XX100.00611266355665887436798266655038050710
9Zemgus Girgensons0XXX100.00802566497563666445778077785658050690
10Ryan Hartman0XX100.00763639375160787248798156625553050690
11Troy Terry0XX100.00332280364565766633808159733339050670
12Zach Werenski0X100.00532373397182788828887968714343045770
13Mikhail Sergachev0X100.00672864417760918749877852714144050730
14Dylan DeMelo0X100.00703062456364748228857663635456050720
15Radko Gudas0X100.00884352467764688326837572567265050720
16Jake McCabe0X100.00812962467069628031827671615047050710
17Calle Rosen0X100.00331380565556826831727052684735050640
Rayé
1Andrew Ladd0XHO673459367470467635818266848190045740
2Dylan Sikura0X100.00332083443652806631807951673338050650
3Adam Gaudette0X100.00662462394050776469767949663240050640
4Lias Andersson0X100.00791842495349856265757953664339050640
5Eeli Tolvanen0X100.00342083614860825731657365683837050610
6Mikhail Vorobyev (R)0X100.00352277625942815835677656673337050600
7Vitaly Abramov (R)0X100.00272483613365845631647070683740050590
8Rem Pitlick (R)0X100.00222277665544845631646967683039050550
9Sami Niku0X100.00432380494551817630777439674641050660
10Louie Belpedio0X100.00342484605649836731726958683849050630
11Mark Friedman0X100.00322585594945846731726859683941050620
12Evan Bouchard (R)0X100.00412279355843826831727053683451050620
MOYENNE D'ÉQUIPE100.0054256744596076714378776270474905068
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
1Jonathan Bernier100.0094858882929391919074869091050860
2Alex Nedeljkovic100.0080898775818086839250606271050780
Rayé
1Oscar Dansk100.0080878676818188839451604562050780
MOYENNE D'ÉQUIPE100.008587877885858886925869667505081
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Connolly70707070707070CAN374450,000$


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
1Ryan HartmanVagabond (PIR)LW/RW5336720114114627.27%07815.73011360001101060.00%1010001.5300000100
2Zemgus GirgensonsVagabond (PIR)C/LW/RW514540097112109.09%46613.3300000000001056.67%3011001.5000000010
3Devin ShoreVagabond (PIR)C532520035173817.65%38416.820223100002150050.00%7211001.1900000100
4Nick RitchieVagabond (PIR)LW5145-1220174126148.33%210821.610447160000191050.00%1051000.9301000000
5Antoine RousselVagabond (PIR)LW5044480212103110.00%17815.70000190000300100.00%331001.0200000001
6Mikhail SergachevVagabond (PIR)D531402010498433.33%413226.52303518000126000.00%050000.6000000100
7Oskar LindblomVagabond (PIR)LW/RW5044400428440.00%16012.02000000000300100.00%120001.3300000001
8Blake ComeauPiranhasLW/RW42242009794922.22%37017.5501121200002000.00%201001.1400000111
9Colin WhiteVagabond (PIR)C512322031015556.67%39919.880003160000120064.86%7421000.6000000001
10Radko GudasVagabond (PIR)D50331201464610.00%1111623.37000014011126000.00%012000.5100000000
11Jake McCabeVagabond (PIR)D51237407631333.33%86312.630000000002000.00%001000.9500000001
12Derek RyanVagabond (PIR)C/RW2022-120056160.00%14623.22011160000100046.34%4100000.8611000000
13Kyle OkposoVagabond (PIR)RW520200075151113.33%410420.891015161011200154.00%5011000.3801000000
14Dylan DeMeloVagabond (PIR)D5011140444220.00%712324.76000014000019000.00%013000.1600000000
15Jesper BrattVagabond (PIR)LW41010403052420.00%1235.870000000001100.00%001000.8500000000
16Jay BouwmeesterPiranhasD4011560495120.00%611929.92011313000023000.00%001000.1700000000
17Zach WerenskiVagabond (PIR)D1101-1002252020.00%02525.551014400004000.00%022000.7800000000
18Calle RosenVagabond (PIR)D2000300010000.00%12512.830000000000000.00%001000.0000000000
19Troy TerryVagabond (PIR)C/RW2000000000010.00%0147.430000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne791935543958012883149559112.75%60144218.25510153716111262034155.10%2942518000.7513000425
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
1Jonathan BernierVagabond (PIR)55000.9421.97305001017186001.000350120
Stats d'équipe Total ou en Moyenne55000.9421.97305001017186001.000350120


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 GaudetteVagabond (PIR)C221996-10-03No170 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,491,667$0$0$NoLien
Alex NedeljkovicVagabond (PIR)G231996-01-07No189 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm894,167$0$0$NoLien
Andrew LaddVagabond (PIR)LW331985-12-12No192 Lbs191 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Antoine RousselVagabond (PIR)LW291989-11-21No199 Lbs180 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Calle RosenVagabond (PIR)D251994-02-02No186 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,775,000$0$0$NoLien
Colin WhiteVagabond (PIR)C221997-01-30No183 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Derek RyanVagabond (PIR)C/RW321986-12-29No185 Lbs178 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Devin ShoreVagabond (PIR)C251994-07-19No205 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm870,000$0$0$NoLien / Lien NHL
Dylan DeMeloVagabond (PIR)D261993-05-01No195 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Dylan SikuraVagabond (PIR)RW241995-06-01No166 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm1,387,500$0$0$NoLien
Eeli TolvanenVagabond (PIR)RW201999-04-22No191 Lbs178 CMNoNoNo1Contrat d'EntréePro & Farm3,145,833$0$0$NoLien
Evan BouchardVagabond (PIR)D191999-10-20Yes194 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm1,627,500$0$0$NoLien
Jake McCabeVagabond (PIR)D251993-10-12No206 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,600,000$0$0$NoLien / Lien NHL
Jesper BrattVagabond (PIR)LW211998-07-30No175 Lbs178 CMNoNoNo1Contrat d'EntréePro & Farm825,000$0$0$NoLien
Jonathan BernierVagabond (PIR)G311988-08-07No184 Lbs183 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Kyle OkposoVagabond (PIR)RW311988-04-16No219 Lbs183 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Lias AnderssonVagabond (PIR)C201998-10-13No190 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,775,000$0$0$NoLien
Louie BelpedioVagabond (PIR)D231996-05-14No196 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Mark FriedmanVagabond (PIR)D231995-12-25No185 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm825,000$0$0$NoLien
Mikhail SergachevVagabond (PIR)D211998-06-25No215 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm1,744,166$0$0$NoLien
Mikhail VorobyevVagabond (PIR)C221997-01-05Yes194 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Nick RitchieVagabond (PIR)LW231995-12-05No234 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm1,627,500$0$0$NoLien / Lien NHL
Oscar DanskVagabond (PIR)G251994-02-28No195 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Oskar LindblomVagabond (PIR)LW/RW231996-08-15No191 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,137,500$0$0$NoLien
Radko GudasVagabond (PIR)D291990-06-05No204 Lbs183 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Rem PitlickVagabond (PIR)LW221997-04-02Yes196 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Ryan HartmanVagabond (PIR)LW/RW251994-09-20No181 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm875,000$0$0$NoLien / Lien NHL
Sami NikuVagabond (PIR)D221996-10-10No176 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm916,667$0$0$NoLien
Troy TerryVagabond (PIR)C/RW221997-09-10No178 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Vitaly AbramovVagabond (PIR)RW211998-05-08Yes171 Lbs175 CMNoNoNo2Contrat d'EntréePro & Farm880,000$0$0$NoLien
Zach WerenskiVagabond (PIR)D221997-07-19No209 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm1,775,000$0$0$NoLien / Lien NHL
Zemgus GirgensonsVagabond (PIR)C/LW/RW251994-01-05No211 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm1,600,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3224.25193 Lbs183 CM1.501,179,089$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick RitchieDerek RyanKyle Okposo40122
2Jesper BrattColin White30122
3Antoine RousselDevin ShoreRyan Hartman20122
4Oskar LindblomZemgus GirgensonsTroy Terry10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach WerenskiMikhail Sergachev40122
2Dylan DeMeloRadko Gudas35122
3Jake McCabeCalle Rosen25122
4Zach WerenskiMikhail Sergachev0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick RitchieDerek RyanKyle Okposo60122
2Colin WhiteRyan Hartman40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach WerenskiMikhail Sergachev60122
2Dylan DeMeloRadko Gudas40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Derek RyanNick Ritchie60122
2Colin White40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach WerenskiMikhail Sergachev60122
2Dylan DeMeloRadko Gudas40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Derek Ryan60122Zach WerenskiMikhail Sergachev60122
2Colin White40122Dylan DeMeloRadko Gudas40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Derek RyanNick Ritchie60122
2Colin White40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach WerenskiMikhail Sergachev60122
2Dylan DeMeloRadko Gudas40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick RitchieDerek RyanKyle OkposoZach WerenskiMikhail Sergachev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick RitchieDerek RyanKyle OkposoZach WerenskiMikhail Sergachev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Devin Shore, Antoine Roussel, Zemgus GirgensonsDevin Shore, Antoine RousselDevin Shore
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Radko Gudas, Jake McCabe, Calle RosenRadko GudasRadko Gudas, Jake McCabe
Tirs de Pénalité
Kyle Okposo, Derek Ryan, Nick Ritchie, Jesper Bratt, Antoine Roussel
Gardien
#1 : Jonathan Bernier, #2 : Alex Nedeljkovic


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
1Casse-Tete22000000734220000007340000000000041.000712190049615246544397022245211218.18%12191.67%0529554.74%7613257.58%346750.75%10866122447436
2Chevalier11000000413000000000001100000041321.000481200496140465443930198264125.00%40100.00%0529554.74%7613257.58%346750.75%10866122447436
3Hooligans10000010431000000000001000001043121.000461000496131465443934912215240.00%6183.33%0529554.74%7613257.58%346750.75%10866122447436
4Royaux11000000532110000005320000000000021.000591400496126465443937101429100.00%7271.43%1529554.74%7613257.58%346750.75%10866122447436
Total5400001020101033000000126621000010844101.0002035550049611494654439171605812821523.81%29486.21%1529554.74%7613257.58%346750.75%10866122447436
_Since Last GM Reset5400001020101033000000126621000010844101.0002035550049611494654439171605812821523.81%29486.21%1529554.74%7613257.58%346750.75%10866122447436
_Vs Conference10000010431000000000001000001043121.000461000496131465443934912215240.00%6183.33%0529554.74%7613257.58%346750.75%10866122447436
_Vs Division10000010532100000005320000001000021.000591400496126465443937101429100.00%7271.43%1529554.74%7613257.58%346750.75%10866122447436

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
510W5203555149171605812800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
54000102010
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3300000126
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
210001084
Derniers 10 Matchs
WLOTWOTL SOWSOL
500000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
21523.81%29486.21%1
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
46544394961
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
529554.74%7613257.58%346750.75%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10866122447436


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 - 2019-10-079Casse-Tete1Vagabond3WSommaire du Match
4 - 2019-10-0916Casse-Tete2Vagabond4WSommaire du Match
7 - 2019-10-1228Royaux3Vagabond5WSommaire du Match
8 - 2019-10-1334Vagabond4Hooligans3WXXSommaire du Match
10 - 2019-10-1537Vagabond4Chevalier1WSommaire du Match
12 - 2019-10-1746Chevalier-Vagabond-
14 - 2019-10-1955Vagabond-Requins-
16 - 2019-10-2162Caribou-Vagabond-
17 - 2019-10-2269Vagabond-Jardiniers-
20 - 2019-10-2578Casse-Tete-Vagabond-
22 - 2019-10-2785Vagabond-Barracuda-
24 - 2019-10-2993Barracuda-Vagabond-
25 - 2019-10-3099Vagabond-Pirates-
28 - 2019-11-02107Vagabond-Chevalier-
29 - 2019-11-03112Diabotins-Vagabond-
31 - 2019-11-05122Vagabond-Chevalier-
32 - 2019-11-06127Casse-Tete-Vagabond-
34 - 2019-11-08137Werewolves-Vagabond-
36 - 2019-11-10144Vagabond-Werewolves-
38 - 2019-11-12152Casse-Tete-Vagabond-
40 - 2019-11-14158Vagabond-Casse-Tete-
41 - 2019-11-15165Vagabond-Diabotins-
43 - 2019-11-17171Benchwarmers-Vagabond-
44 - 2019-11-18180Vagabond-Diabotins-
46 - 2019-11-20187Vagabond-Pirates-
48 - 2019-11-22192Hybrides-Vagabond-
51 - 2019-11-25203Caribou-Vagabond-
52 - 2019-11-26211Vagabond-Caribou-
54 - 2019-11-28216Hooligans-Vagabond-
56 - 2019-11-30226Vagabond-Chevalier-
57 - 2019-12-01231Hooligans-Vagabond-
59 - 2019-12-03236Vagabond-Benchwarmers-
61 - 2019-12-05245Vagabond-Werewolves-
62 - 2019-12-06248Vagabond-Casse-Tete-
64 - 2019-12-08256Pirates-Vagabond-
65 - 2019-12-09266Chevalier-Vagabond-
68 - 2019-12-12274Vagabond-Barracuda-
70 - 2019-12-14281Jardiniers-Vagabond-
71 - 2019-12-15290Benchwarmers-Vagabond-
74 - 2019-12-18301Vagabond-Hooligans-
76 - 2019-12-20305Requins-Vagabond-
78 - 2019-12-22315Vagabond-Leftovers-
80 - 2019-12-24321Royaux-Vagabond-
81 - 2019-12-25329Vagabond-Jardiniers-
84 - 2019-12-28336Vagabond-Leftovers-
85 - 2019-12-29342Leftovers-Vagabond-
88 - 2020-01-01351Hybrides-Vagabond-
89 - 2020-01-02359Vagabond-Hooligans-
90 - 2020-01-03366Vagabond-Caribou-
92 - 2020-01-05373Royaux-Vagabond-
95 - 2020-01-08382Jardiniers-Vagabond-
97 - 2020-01-10389Vagabond-Hybrides-
98 - 2020-01-11396Vagabond-Pirates-
100 - 2020-01-13401Vagabond-Requins-
101 - 2020-01-14403Barracuda-Vagabond-
104 - 2020-01-17416Diabotins-Vagabond-
106 - 2020-01-19424Vagabond-Pirates-
107 - 2020-01-20429Requins-Vagabond-
108 - 2020-01-21437Vagabond-Chevalier-
111 - 2020-01-24445Casse-Tete-Vagabond-
113 - 2020-01-26449Vagabond-Royaux-
114 - 2020-01-27456Vagabond-Jardiniers-
116 - 2020-01-29463Leftovers-Vagabond-
118 - 2020-01-31473Vagabond-Casse-Tete-
120 - 2020-02-02478Barracuda-Vagabond-
122 - 2020-02-04489Leftovers-Vagabond-
125 - 2020-02-07502Chevalier-Vagabond-
129 - 2020-02-11513Pirates-Vagabond-
131 - 2020-02-13519Vagabond-Hybrides-
132 - 2020-02-14523Vagabond-Requins-
134 - 2020-02-16530Vagabond-Hybrides-
136 - 2020-02-18536Benchwarmers-Vagabond-
139 - 2020-02-21547Chevalier-Vagabond-
140 - 2020-02-22554Vagabond-Jardiniers-
142 - 2020-02-24562Pirates-Vagabond-
144 - 2020-02-26571Caribou-Vagabond-
145 - 2020-02-27576Vagabond-Benchwarmers-
147 - 2020-02-29583Vagabond-Requins-
150 - 2020-03-03593Diabotins-Vagabond-
151 - 2020-03-04597Vagabond-Royaux-
153 - 2020-03-06603Vagabond-Barracuda-
156 - 2020-03-09612Werewolves-Vagabond-
157 - 2020-03-10614Vagabond-Royaux-
161 - 2020-03-14627Diabotins-Vagabond-



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
227,817$ 3,708,085$ 2,187,998$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
22,749$ 227,817$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 22,749$ 3,480,597$




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
2016841841062611241311-70421114042561501419427270201591170-7936241362603118271761820856916366921292854105426115832645018.94%1291786.82%2512136637.48%503165830.34%374111233.63%1633101522676631245591
20178438310453333031317422312012221631333042151903311167180-137633053886822118110957276992293689537246191241915103078126.38%2094677.99%18814178345.65%606148340.86%566121646.55%1942131219356381205591
201882185103325305322-1741102301214164150144182802111141172-3136305523828247711910492352773753790623198112946514932886121.18%2265476.11%8758151550.03%855185246.17%631123251.22%1651101520696741248606
20195400001020101033000000126621000010844102035550049611494654439171605812821523.81%29486.21%1529554.74%7613257.58%346750.75%10866122447436
Total Saison Régulière25578123013101219896956-60128474906681248943059127317407447407526-1191588961458235457281309281357355243223792420237868431551203471488019722.39%59312179.60%292136475944.88%2040512539.80%1605362744.25%533534106395202137731825
Séries
201640400000510-52020000025-32020000035-2058130001409420472341505715702129.52%50100.00%06876.90%189119.78%64613.04%6639129335123
20171697000004754-78620000028208835000001934-151847801270019121335461821891631257421386238862427.91%43881.40%016139840.45%12636134.90%8322437.05%359243411130223105
Total Séries20911000005264-12106400000302551037000002239-17185288140001913173640202236186167242701013081072624.30%48883.33%016748534.43%14445231.86%8927032.96%426283541163274129