beholdershellpepitosKingspatriots

 

 


Giants

GP: 12 | W: 10 | L: 2 | OTL: 0 | P: 20
GF: 51 | GA: 40 | PP%: 18.87% | PK%: 82.54%
DG: Jonathan Therrien | Morale : 50 | Moyenne d'Équipe : 76
Prochain matchs #94 vs Requins
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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
1Jake DeBrusk (R)0X100.00644269344267798143888271744236034830
2Devin Shore0X100.00493676336370916965848158624139046800
3Jesper Bratt (R)0X100.00442974352971847738857970753934050800
4Brett Connolly0X100.00713564346453757545818365665963046800
5Ryan Hartman0XX100.00774453384059827362838469624944025800
6Luke Glendening0XXX100.00833865485360776781808071565448050790
7Garnet Hathaway0X100.00894546468050816938837969624243044790
8Melker Karlsson0X100.00662271454160727142827971735745044780
9Justin Bailey0X100.00673469507649806231748170634135050750
10Shane Prince0X100.00494368385258546738828156625043050750
11Carter Rowney0X100.00883874556945686176797656625455050740
12Colin White0X100.00432861493461786150757773653835050730
13Sammy Blais (R)0X100.00753362606549635930717461653731050700
14Shane Harper0X100.00704649656046695831687554645845050690
15Adam Gaudette (R)0X100.00373392613159815736697660643336050690
16Troy Terry (R)0XX100.00263196633246725631687252653333050650
17Alex Formenton (R)0X100.00663278542819815631676951642929050600
18Mark Barberio0X100.00413958457165738327837374595956026840
19Mikhail Sergachev0X100.00624061447353899126887764713735017830
20Noah Hanifin0X100.00503478426767848823867542714239046820
21Madison Bowey (R)0X100.00573960486150868229837364635270050810
22Dylan DeMelo0X100.00634060455653768627867267614841050800
23Oscar Fantenberg0X100.00824067457057728030787266644940050790
24Luke Witkowski0X100.00885632538435886133807368634753050730
Rayé
1Andrew Poturalski0X100.00383383683356775634677355654034050670
2Anton Rodin0X100.00262475674240165631677051654939050610
3Jake McCabe0X100.00664071457072728231837275584743050840
4Christian Djoos0X100.00392274473148828327837276635659050790
5Robbie Russo0X100.00604066595258736930726658644743050730
6Louie Belpedio (R)0X100.00473190604357776931726656653741050720
7Christian Jaros0X100.00823266616430786931726556644037050670
MOYENNE D'ÉQUIPE100.0060366850545475703878756365454304675
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
1Kristers Gudlevskis100.0080885681818090848468705167050820
2Anthony Stolarz100.0080676782828191848567713046050800
Rayé
1Peter BudajHO91817888919290899377818682046920
MOYENNE D'ÉQUIPE100.008479678485849086877174566504985
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Connolly70707070707070CAN365450,000$


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 HartmanGiants (PIR)LW/RW1271118722019944103815.91%920717.332027391014171171.43%1456001.7300000210
2Luke GlendeningGiants (PIR)C/LW/RW124121676031244612228.70%721317.8002210391121241068.87%15146001.5000000220
3Jake DeBruskGiants (PIR)LW127916240211050133214.00%1226321.9242613410003701162.50%1635001.2200000112
4Melker KarlssonGiants (PIR)RW1276137006123271821.87%213611.3900000000002071.43%763001.9000000013
5Brett ConnollyGiants (PIR)RW1275121601763392021.21%718115.16134841000002055.56%962001.3200000110
6Mikhail SergachevGiants (PIR)D123811-31201993310109.09%1828223.56134942101257010.00%0129000.7800000011
7Devin ShoreGiants (PIR)C12099240719198170.00%826321.970332410111680058.75%33724000.6800000001
8Garnet HathawayGiants (PIR)RW1227938022112811207.14%213411.1901100000000037.50%851001.3400000010
9Dylan DeMeloGiants (PIR)D121678609697811.11%816013.3700000011013000.00%043000.8700000000
10Jesper BrattGiants (PIR)LW12347360284211177.14%314512.130000000007100.00%253000.9600000000
11Mark BarberioGiants (PIR)D12347-22358272091015.00%2131526.25101442011056000.00%0310000.4400000010
12Noah HanifinGiants (PIR)D12246740431461114.29%325221.08112638000137100.00%041000.4700000001
13Colin WhiteGiants (PIR)C12235340213136615.38%415512.95011000000140057.41%10825000.6400000000
14Justin BaileyGiants (PIR)RW12303060107268711.54%5988.2300000000001075.00%445000.6100000001
15Madison BoweyGiants (PIR)D120227100161610660.00%1424820.71000239000036000.00%056000.1600000000
16Shane PrinceGiants (PIR)LW12022-300225140.00%0453.78022439000000040.00%540000.8800000000
17Oscar FantenbergGiants (PIR)D12011780836340.00%1114111.780000000000000.00%004000.1400000000
18Sammy BlaisGiants (PIR)LW1201106013811550.00%1988.2000000000000040.00%541000.2000000000
19Adam GaudetteGiants (PIR)C12011000167130.00%4988.2000000000000052.54%59122000.2000000000
20Luke WitkowskiGiants (PIR)D12000140823000.00%2433.610000000000000.00%002000.0000000000
Stats d'équipe Total ou en Moyenne240519514657139522520145114325811.31%141348714.53101828654073471240410360.00%7259078000.8400000699
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
1Kristers GudlevskisGiants (PIR)1210100.9112.936770033372197000.00001212200
2Anthony StolarzGiants (PIR)20100.7148.7841006219110.000000000
Stats d'équipe Total ou en Moyenne1410200.9013.267190039393206110.00001212200


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 GaudetteGiants (PIR)C211996-10-03Yes170 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,491,667$0$0$NoLien
Alex FormentonGiants (PIR)LW191999-09-13Yes165 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Andrew PoturalskiGiants (PIR)C241994-01-14No180 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Anthony StolarzGiants (PIR)G241994-01-20No210 Lbs198 CMNoNoNo1Avec RestrictionPro & Farm894,167$0$0$NoLien
Anton RodinGiants (PIR)RW271990-11-21No185 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm950,000$0$0$NoLien / Lien NHL
Brett ConnollyGiants (PIR)RW261992-05-02No195 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm1,500,000$0$0$NoLien / Lien NHL
Carter RowneyGiants (PIR)RW291989-05-10No200 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm612,500$0$0$NoLien / Lien NHL
Christian DjoosGiants (PIR)D241994-08-06No169 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Christian JarosGiants (PIR)D221996-04-02No201 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm801,667$0$0$NoLien
Colin WhiteGiants (PIR)C211997-01-30No183 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,285,000$0$0$NoLien
Devin ShoreGiants (PIR)C241994-07-19No205 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm870,000$0$0$NoLien / Lien NHL
Dylan DeMeloGiants (PIR)D251993-05-01No195 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Garnet HathawayGiants (PIR)RW261991-11-23No208 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Jake DeBruskGiants (PIR)LW211996-10-17Yes188 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,288,333$0$0$NoLien
Jake McCabeGiants (PIR)D241993-10-12No210 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm1,600,000$0$0$NoLien / Lien NHL
Jesper BrattGiants (PIR)LW201998-07-30Yes175 Lbs178 CMNoNoNo2Contrat d'EntréePro & Farm825,000$0$0$NoLien
Justin BaileyGiants (PIR)RW231995-07-01No214 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm894,167$0$0$NoLien
Kristers GudlevskisGiants (PIR)G261992-07-31No214 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Louie BelpedioGiants (PIR)D221996-05-14Yes193 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Luke GlendeningGiants (PIR)C/LW/RW291989-04-28No192 Lbs180 CMNoNoNo1Sans RestrictionPro & Farm450,000$0$0$NoLien / Lien NHL
Luke WitkowskiGiants (PIR)D281990-04-14No210 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm575,000$0$0$NoLien / Lien NHL
Madison BoweyGiants (PIR)D231995-04-22Yes198 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm902,500$0$0$NoLien
Mark BarberioGiants (PIR)D281990-03-23No207 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Melker KarlssonGiants (PIR)RW281990-07-18No180 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,625,000$0$0$NoLien / Lien NHL
Mikhail SergachevGiants (PIR)D201998-06-25No215 Lbs191 CMNoNoNo3Contrat d'EntréePro & Farm1,775,000$0$0$NoLien
Noah HanifinGiants (PIR)D211997-01-25No206 Lbs191 CMNoNoNo3Contrat d'EntréePro & Farm3,775,000$0$0$NoLien / Lien NHL
Oscar FantenbergGiants (PIR)D261991-10-07No210 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Peter BudajGiants (PIR)G361982-09-18No196 Lbs185 CMNoNoNo1Sans RestrictionPro & Farm450,000$0$0$NoLien / Lien NHL
Robbie RussoGiants (PIR)D251993-02-15No191 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Ryan HartmanGiants (PIR)LW/RW241994-09-20No181 Lbs183 CMNoNoNo3Avec RestrictionPro & Farm863,000$0$0$NoLien / Lien NHL
Sammy BlaisGiants (PIR)LW221996-06-17Yes205 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm725,833$0$0$NoLien
Shane HarperGiants (PIR)RW291989-02-01No193 Lbs180 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien
Shane PrinceGiants (PIR)LW251992-11-16No193 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm850,000$0$0$NoLien / Lien NHL
Troy TerryGiants (PIR)C/RW211997-09-10Yes175 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3424.50194 Lbs185 CM1.651,032,956$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DeBruskDevin ShoreBrett Connolly40122
2Ryan HartmanLuke GlendeningMelker Karlsson30122
3Jesper BrattColin WhiteGarnet Hathaway20122
4Sammy BlaisAdam GaudetteJustin Bailey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark BarberioMikhail Sergachev40122
2Noah HanifinMadison Bowey30122
3Dylan DeMeloOscar Fantenberg20122
4Luke WitkowskiMark Barberio10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DeBruskDevin ShoreBrett Connolly60122
2Shane PrinceLuke GlendeningRyan Hartman40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark BarberioMikhail Sergachev60122
2Noah HanifinMadison Bowey40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Devin ShoreJake DeBrusk60122
2Luke GlendeningRyan Hartman40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark BarberioMikhail Sergachev60122
2Noah HanifinMadison Bowey40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Devin Shore60122Mark BarberioMikhail Sergachev60122
2Luke Glendening40122Noah HanifinMadison Bowey40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Devin ShoreJake DeBrusk60122
2Luke GlendeningRyan Hartman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark BarberioMikhail Sergachev60122
2Noah HanifinMadison Bowey40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DeBruskDevin ShoreBrett ConnollyMark BarberioMikhail Sergachev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DeBruskDevin ShoreBrett ConnollyMark BarberioMikhail Sergachev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Colin White, Jesper Bratt, Garnet HathawayColin White, Jesper BrattColin White
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan DeMelo, Oscar Fantenberg, Luke WitkowskiDylan DeMeloDylan DeMelo, Oscar Fantenberg
Tirs de Pénalité
Jake DeBrusk, Ryan Hartman, Brett Connolly, Jesper Bratt, Devin Shore
Gardien
#1 : , #2 : Kristers Gudlevskis, #3 : Anthony Stolarz


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
1Benchwarmers44000000191182200000095422000000106481.000193756002118120138195124132013840448624520.83%22386.36%016627560.36%17028759.23%9916360.74%3042072458916988
2Requins422000001621-521100000711-421100000910-140.500162844102118120140195124132012745528016318.75%26676.92%116627560.36%17028759.23%9916360.74%3042072458916988
3St Johns440000001688220000009542200000073481.000163046002118120173195124132012956435913215.38%15286.67%216627560.36%17028759.23%9916360.74%3042072458916988
Total121020000051401165100000252146510000026197200.83351951461021181204511951241320394141139225531018.87%631182.54%316627560.36%17028759.23%9916360.74%3042072458916988
_Since Last GM Reset121020000051401165100000252146510000026197200.83351951461021181204511951241320394141139225531018.87%631182.54%316627560.36%17028759.23%9916360.74%3042072458916988
_Vs Conference121020000051401165100000252146510000026197200.83351951461021181204511951241320394141139225531018.87%631182.54%316627560.36%17028759.23%9916360.74%3042072458916988

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1220L1519514645139414113922510
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
1210200005140
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
65100002521
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
65100002619
Derniers 10 Matchs
WLOTWOTL SOWSOL
820000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
531018.87%631182.54%3
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
19512413202118120
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
16627560.36%17028759.23%9916360.74%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
3042072458916988


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 - 2019-04-035St Johns2Giants4WSommaire du Match
2 - 2019-04-0413St Johns3Giants5WSommaire du Match
3 - 2019-04-0521Giants4St Johns1WSommaire du Match
4 - 2019-04-0629Giants3St Johns2WSommaire du Match
8 - 2019-04-1059Benchwarmers2Giants3WSommaire du Match
9 - 2019-04-1163Benchwarmers3Giants6WSommaire du Match
10 - 2019-04-1267Giants6Benchwarmers3WSommaire du Match
11 - 2019-04-1371Giants4Benchwarmers3WSommaire du Match
15 - 2019-04-1786Requins3Giants5WSommaire du Match
16 - 2019-04-1888Requins8Giants2LSommaire du Match
17 - 2019-04-1990Giants2Requins1WSommaire du Match
18 - 2019-04-2092Giants7Requins9LSommaire du Match
19 - 2019-04-2194Requins-Giants-
20 - 2019-04-2296Giants-Requins-
21 - 2019-04-2398Requins-Giants-



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
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,467,051$ 2,110,167$ 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$ 3 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
20168446310203265523741842261201012332109223422019010203231281959265511461801142282102128269194987983944230682291118262979030.30%2615479.31%221012163461.93%840154354.44%864146558.98%2100143417286301237640
2017844818034743951782174225700343216911254223110313117987929639571311081813612612318271889386292772236576486316682966923.31%4175886.09%111035175259.08%991173457.15%684114459.79%2051135218016841258633
20178453170146341039218422710002212011929422670124220920091064106351045341421371249272692489688746248091554914163156821.59%2645280.30%3849168650.36%640155141.26%715140051.07%1944130019066541242609
20188253180122651021529541271100111252109143412670111525810615210651089814080224015611153316120410531035552747100378015803147824.84%3587678.77%12984190051.79%1016184854.98%679128652.80%2075142217016291192608
Total Saison Régulière33420084071018151970102294816710540016871001501500167954406410896952144840019703392536251874662957040114513970369036882179898350431036490122230524.96%130024081.54%483880697255.65%3487667652.23%2942529555.56%817155097138259849302491
Séries
201640400000723-1620200000414-102020000039-6071118003220128603731013965516022313.64%18761.11%0339534.74%268032.50%236933.33%8558104305024
201619118000006344199720000036171910460000027270226311117400172222263521120020915491178169420781823.08%791778.48%422843552.41%19936854.08%8523036.96%490321385162299146
2017191630000089414810100000004814349630000041271432891642530031312616312282191786596213203333531018.87%1001288.00%522539357.25%24443456.22%13627050.37%461311421150267134
201740400000112-112020000016-52020000006-60112000100418151711666210251600.00%5180.00%063616.67%1910019.00%124327.91%5232144365419
20181210200000514011651000002521465100000261972051951461021181204511951241320394141139225531018.87%631182.54%316627560.36%17028759.23%9916360.74%3042072458916988
Total Séries583721000002111605129227000001147242291514000009788974211382593107274623188670259556722178665957210632224118.47%2654881.89%12658123453.32%658126951.85%35577545.81%13959301301468840413