beholdershellpepitosKingspatriots

 

 


Benchwarmers

GP: 9 | W: 4 | L: 5 | OTL: 0 | P: 8
GF: 37 | GA: 33 | PP%: 24.24% | PK%: 86.96%
DG: Yanick Dumaine | Morale : 50 | Moyenne d'Équipe : 74
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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
1Johan Larsson0X100.00703862475568716379817869555753042790
2Barclay Goodrow0X100.00804355427450726975818166695149047790
3Josh Archibald0X100.00864754443453866949808269634850050780
4Tyler Motte0X100.00822365484051836639788468624235050750
5Greg McKegg0X100.00644065525244836377787857635348050740
6Ryan Donato (R)0X100.00433186393466806142738064763334050740
7Kerby Rychel0X100.00835356607750855833697460625055050730
8Filip Chlapik (R)0X100.00643563535145726064747663654239050710
9Mark McNeill0X100.00473376697464715631677555645049050710
10Travis Dermott (R)0X100.00663868456256838629867469634240050820
11Klas Dahlbeck0X100.00833664487456918229807160635140050800
12Andreas Borgman (R)0X100.00864055476950858329827365634134050790
13Martin Marincin0X100.00483264577964767330746870725443047780
14Chris Wideman0X100.00573963424148628729827556665147016770
15Seb Aho (R)0X100.00392570522959767531756968654646050760
16Nick Seeler0X100.00534647556954757530767075643834050760
17Carl Dahlstrom (R)0X100.00412887578663777233746760644334050760
18Justin Holl (R)0X100.00473280597162767031726757654540050750
19Nikita Nesterov0X100.00773865494758837630747149625044050750
20Trevor Murphy0X100.00474062553452767131736764654240050720
21Philip Holm0X100.00473072605255756931726555654940050720
22Ashton Sautner0X100.00733263605448767031726762644643050720
23Gabriel Carlsson0X100.00532973575842707430746968633933050720
24Andrei Mironov0X100.00833246585940787230736863644439050710
Rayé
1Andrej Nestrasil0X100.00463382616849775834697550715544050700
2Stefan Matteau0X100.00774457608036805833707455634439050690
3Nathan Walker0X100.00864653643942755830697260655057050690
4Danick Martel0X100.00413466672546765731687560654441050670
5C.J. Smith0X100.00262986693453785631687155653833050660
6Tyrell Goulbourne0X100.00885053695823745730697051654656050650
7Jakob Forsbacka Karlsson0X100.00262880693837785631677052653833050630
MOYENNE D'ÉQUIPE100.0062366655555177683874736165464204873
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
1Jhonas Enroth100.0080866575818183848568787978050830
2Linus Ullmark100.0081876583838293858566714759050830
3Dylan Ferguson100.008082557778807784846871627050750
Rayé
MOYENNE D'ÉQUIPE100.008085627881818484856773445505080
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff60657951848170CAN581450,000$


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
1Tyler MotteBenchwarmers (PAT)LW9971654010655173416.36%317018.9220212261014142160.00%5153001.8800000301
2Josh ArchibaldBenchwarmers (PAT)RW94101441602210429289.52%616718.6311210260000101073.33%15115001.6700000012
3Greg McKeggBenchwarmers (PAT)C95813420782961217.24%115116.82011525000010070.06%15753001.7200000011
4Travis DermottBenchwarmers (PAT)D9210124807153616155.56%1322525.04044828202641000.00%0717001.0700000001
5Barclay GoodrowBenchwarmers (PAT)RW97512-380231451154913.73%421824.292138210445391073.86%88414011.1000000110
6Johan LarssonBenchwarmers (PAT)LW9257-2601311247168.33%117319.281234241127520075.00%848000.8100000000
7Andreas BorgmanBenchwarmers (PAT)D9134-1402320199105.26%1218620.77000022112328000.00%036000.4300000000
8Chris WidemanBenchwarmers (PAT)D9134-3006926673.85%1513114.560000000001000.00%0125000.6100000000
9Filip ChlapikBenchwarmers (PAT)C922411958101991510.53%713114.60000000001220070.24%8432000.6100000000
10Klas DahlbeckBenchwarmers (PAT)D9044612022713770.00%822424.90022228000239000.00%017000.3600000010
11Martin MarincinBenchwarmers (PAT)D9134-14072113547.69%2318620.74112222011028000.00%0212000.4300000000
12Ryan DonatoBenchwarmers (PAT)C9123-54027130117.69%312413.81112524000050060.17%11821000.4800000000
13Mark McNeillBenchwarmers (PAT)RW912300005189145.56%211813.1400000000000075.00%4191000.5100000000
14Kerby RychelBenchwarmers (PAT)LW9112112019428493.57%713114.6501113000050042.86%7104000.3000000000
Stats d'équipe Total ou en Moyenne1263765102109951691473861192319.59%105234118.5881422572555712282914168.11%4869888010.8700000445
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
1Jhonas EnrothBenchwarmers (PAT)94410.8813.605500033278146000.000090000
Stats d'équipe Total ou en Moyenne94410.8813.605500033278146000.000090000


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
Andreas BorgmanBenchwarmers (PAT)D231995-06-18Yes212 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,775,000$0$0$NoLien
Andrei MironovBenchwarmers (PAT)D241994-07-29No194 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Andrej NestrasilBenchwarmers (PAT)C271991-02-22No200 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm912,000$0$0$NoLien / Lien NHL
Ashton SautnerBenchwarmers (PAT)D241994-05-27No195 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm678,333$0$0$NoLien
Barclay GoodrowBenchwarmers (PAT)RW251993-02-26No210 Lbs188 CMNoNoNo3Avec RestrictionPro & Farm627,000$0$0$NoLien / Lien NHL
C.J. SmithBenchwarmers (PAT)LW231994-12-01No181 Lbs180 CMNoNoNo3Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Carl DahlstromBenchwarmers (PAT)D231995-01-28Yes231 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Chris WidemanBenchwarmers (PAT)D281990-01-07No183 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Danick MartelBenchwarmers (PAT)LW231994-12-12No162 Lbs173 CMNoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien
Dylan FergusonBenchwarmers (PAT)G201998-09-20No189 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm716,666$0$0$NoLien
Filip ChlapikBenchwarmers (PAT)C211997-06-03Yes196 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Gabriel CarlssonBenchwarmers (PAT)D211997-01-02No192 Lbs196 CMNoNoNo3Contrat d'EntréePro & Farm925,000$0$0$NoLien / Lien NHL
Greg McKeggBenchwarmers (PAT)C261992-06-17No191 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Jakob Forsbacka KarlssonBenchwarmers (PAT)C211996-10-31No184 Lbs185 CMNoNoNo3Contrat d'EntréePro & Farm925,000$0$0$NoLien / Lien NHL
Jhonas EnrothBenchwarmers (PAT)G301988-06-25No175 Lbs178 CMNoNoNo1Sans RestrictionPro & Farm1,500,000$0$0$NoLien / Lien NHL
Johan LarssonBenchwarmers (PAT)LW261992-07-25No198 Lbs180 CMNoNoNo3Avec RestrictionPro & Farm1,475,000$0$0$NoLien / Lien NHL
Josh ArchibaldBenchwarmers (PAT)RW251992-10-06No176 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Justin HollBenchwarmers (PAT)D261992-01-30Yes205 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Kerby RychelBenchwarmers (PAT)LW231994-10-07No213 Lbs185 CMNoNoNo3Avec RestrictionPro & Farm1,213,000$0$0$NoLien
Klas DahlbeckBenchwarmers (PAT)D271991-07-06No207 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm850,000$0$0$NoLien / Lien NHL
Linus UllmarkBenchwarmers (PAT)G251993-07-31No221 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Mark McNeillBenchwarmers (PAT)RW251993-02-22No214 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm660,000$0$0$NoLien
Martin MarincinBenchwarmers (PAT)D261992-02-18No212 Lbs196 CMNoNoNo3Avec RestrictionPro & Farm1,250,000$0$0$NoLien / Lien NHL
Nathan WalkerBenchwarmers (PAT)LW241994-02-07No186 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Nick SeelerBenchwarmers (PAT)D251993-06-03No200 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Nikita NesterovBenchwarmers (PAT)D251993-03-28No191 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm725,000$0$0$NoLien / Lien NHL
Philip HolmBenchwarmers (PAT)D261991-12-08No190 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Ryan DonatoBenchwarmers (PAT)C221996-04-09Yes181 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,350,000$0$0$NoLien
Seb AhoBenchwarmers (PAT)D221996-02-17Yes170 Lbs178 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Stefan MatteauBenchwarmers (PAT)LW241994-02-23No220 Lbs188 CMNoNoNo3Avec RestrictionPro & Farm613,000$0$0$NoLien / Lien NHL
Travis DermottBenchwarmers (PAT)D211996-12-22Yes208 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm863,333$0$0$NoLien
Trevor MurphyBenchwarmers (PAT)D231995-07-17No180 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm640,000$0$0$NoLien
Tyler MotteBenchwarmers (PAT)LW231995-03-10No191 Lbs178 CMNoNoNo3Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Tyrell GoulbourneBenchwarmers (PAT)LW241994-01-26No195 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm773,333$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3424.15196 Lbs185 CM2.18906,348$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johan LarssonRyan DonatoBarclay Goodrow40122
2Tyler MotteGreg McKeggJosh Archibald30122
3Kerby RychelFilip ChlapikMark McNeill20122
4Barclay Goodrow10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottKlas Dahlbeck40122
2Andreas BorgmanMartin Marincin30122
3Chris Wideman20122
4Travis DermottKlas Dahlbeck10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johan LarssonRyan DonatoBarclay Goodrow60122
2Tyler MotteGreg McKeggJosh Archibald40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottKlas Dahlbeck60122
2Andreas BorgmanMartin Marincin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Barclay GoodrowJohan Larsson60122
2Josh ArchibaldTyler Motte40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottKlas Dahlbeck60122
2Andreas BorgmanMartin Marincin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Barclay Goodrow60122Travis DermottKlas Dahlbeck60122
2Johan Larsson40122Andreas BorgmanMartin Marincin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Barclay GoodrowJohan Larsson60122
2Josh ArchibaldTyler Motte40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottKlas Dahlbeck60122
2Andreas BorgmanMartin Marincin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johan LarssonRyan DonatoBarclay GoodrowTravis DermottKlas Dahlbeck
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johan LarssonRyan DonatoBarclay GoodrowTravis DermottKlas Dahlbeck
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kerby Rychel, Mark McNeill, Filip ChlapikKerby Rychel, Mark McNeillFilip Chlapik
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Chris Wideman, , Andreas BorgmanChris Wideman, Andreas Borgman
Tirs de Pénalité
Barclay Goodrow, Johan Larsson, Josh Archibald, Tyler Motte, Ryan Donato
Gardien
#1 : Jhonas Enroth, #2 : Linus Ullmark


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
1Giants404000001119-820200000610-42020000059-400.000111627001211140138149100133513841576722313.64%24579.17%313821464.49%11817866.29%8412666.67%2411681826512666
2Hooligans5410000026141233000000177102110000097280.8002649750012111402491491001335140644410311545.45%22195.45%213821464.49%11817866.29%8412666.67%2411681826512666
Total94500000373345320000023176413000001416-280.4443765102001211140387149100133527810510117033824.24%46686.96%513821464.49%11817866.29%8412666.67%2411681826512666
_Since Last GM Reset94500000373345320000023176413000001416-280.4443765102001211140387149100133527810510117033824.24%46686.96%513821464.49%11817866.29%8412666.67%2411681826512666
_Vs Conference94500000373345320000023176413000001416-280.4443765102001211140387149100133527810510117033824.24%46686.96%513821464.49%11817866.29%8412666.67%2411681826512666

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
98L4376510238727810510117000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
94500003733
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200002317
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41300001416
Derniers 10 Matchs
WLOTWOTL SOWSOL
440100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
33824.24%46686.96%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
14910013351211140
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
13821464.49%11817866.29%8412666.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2411681826512666


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
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JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2019-04-038Hooligans2Benchwarmers6WSommaire du Match
2 - 2019-04-0416Hooligans4Benchwarmers8WSommaire du Match
3 - 2019-04-0524Benchwarmers6Hooligans3WSommaire du Match
4 - 2019-04-0632Benchwarmers3Hooligans4LXSommaire du Match
5 - 2019-04-0740Hooligans1Benchwarmers3WSommaire du Match
8 - 2019-04-1059Benchwarmers2Giants3LSommaire du Match
9 - 2019-04-1163Benchwarmers3Giants6LSommaire du Match
10 - 2019-04-1267Giants6Benchwarmers3LSommaire du Match
11 - 2019-04-1371Giants4Benchwarmers3LSommaire du Match



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,081,583$ 2,172,533$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 6 0$ 0$




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
20168456180033437426910542327001202021426042241100214172127451123746771051351391101226272695284190850238986683915692777828.16%2794284.95%131068178060.00%952159759.61%652123752.71%2138148717366241202610
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
2018823930053143992221774124802313214100114411522030011851226378399713111212159126108729141069936887352830101381416532927023.97%3967182.07%19959178653.70%1046195453.53%627117253.50%1898122418176591238627
Total Saison Régulière33414812601710141913221114208167884609771070453716716760800837961857741296132223383660714491412388441040235443382334224210127352230346671113524821.85%134724981.51%573710684354.22%3730680554.81%2479473852.32%789551707312265350532549
Séries
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
201894500000373345320000023176413000001416-283765102001211140387149100133527810510117033824.24%46686.96%513821464.49%11817866.29%8412666.67%2411681826512666
Total Séries281117000008088-81486000004840814311000003248-162280138218003220271101437026137013887324325542901820.00%1452582.76%939060464.57%38462861.15%22535563.38%719492600210390200