Charlestown Chiefs

GP: 6 | W: 2 | L: 4 | OTL: 0 | P: 4
GF: 23 | GA: 28 | PP%: 42.11% | PK%: 65.00%
DG: Reto | Morale : 55 | Moyenne d'Équipe : 56
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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
1Marcus Foligno0X100.00898074738357966140655960256969088640
2Luke Kunin (R)0XX100.00837880777164686150606071254747091620
3Chris Mueller0XX100.00797587657573766379626066574444091620
4Alan Quine0XXX100.00804493757162625657625567255556086610
5Curtis Lazar0XXX100.00855589727256755844625665256465087610
6Iiro Pakarinen0XX100.00834594777856595730535771255959087610
7Janne Kuokkanen (R)0XXX100.00726980706966676278645763544444088600
8Andy Andreoff0XX100.00829970737955605743615859256061089590
9Mitch Hults (R)0X100.00848094638062645873545868554444088590
10John Stevens (R)0X100.00777289627262665063494762454444087550
11Jack Skille0XX100.00505050505050505050505050505050062490
12Sergei Kalinin0XXX100.00505050505050505050505050505050087490
13Jakub Jerabek (R)0X100.00774394776969736025534866255050087630
14Kevin Spinozzi (R)0X100.00797589657564665825475465514444088600
15Roland McKeown0X100.00619750747562885425654755254444088590
16Mark Fayne0X100.00848093658058624425314164394444085570
17Vince Pedrie (R)0X100.00737079627064694825394160394444083560
18Nathan Paetsch0X100.00757282657254555125483961374444053560
Rayé
1Alex Dostie (R)0X100.00716291666263675063494659444444060540
2Henrik Bjorklund0XX100.00505050505050505050505050505050075490
3Dane Byers0X100.0050505050505050505050505050505002348X0
4Linden Vey0XX100.00505050505050505050505050505050019480
5Philip Holm (R)0X100.00757282627270735925515263494444074600
6Alexei Bereglazov (R)0X100.00757770657755574925414161394444069560
7Karl Stollery0X100.00505050505050505050505050505050020480
8Jakub Nakladal0X100.00505050505050505050505050505050020480
9Michael Caruso0X100.00505050505050505050505050505050020480
10Peter Andersson0X100.00505050505050505050505050505050020480
11Raphael Diaz0X100.00505050505050505050505050505050019480
MOYENNE D'ÉQUIPE100.0068647262665862544652515942494906755
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
1Alexandar Georgiev (R)100.0072666366806455718072654444088650
2Kevin Boyle100.0062567078666555656361304444084610
Rayé
1Jeff Glass100.0058625982665050586358654545019580
2Matej Machovsky (R)100.0057475974605760646060304444026570
3Ben Scrivens100.0050505050505050505050505050020491
4Robert Mayer100.0050505050505050505050505050020490
MOYENNE D'ÉQUIPE100.005855596762565360615948464604357
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan66736357665764CAN463250,000$


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
1Chris MuellerCharlestown Chiefs (OTT)C/RW65611-1291513152561120.00%211419.12347390001120040.28%7243011.9200300020
2Luke KuninCharlestown Chiefs (OTT)C/RW64610-31715128215819.05%49816.34257410000001034.69%9823002.0400300100
3Jakub JerabekCharlestown Chiefs (OTT)D6055-255666350.00%1113722.9501109000013000.00%028000.7300100000
4Janne KuokkanenCharlestown Chiefs (OTT)C/LW/RW6235-400116164412.50%311318.9102219000021042.86%2143000.8800000100
5Curtis LazarCharlestown Chiefs (OTT)C/LW/RW6145-155111519775.26%211118.56011190000120040.45%8953000.9000100001
6Marcus FolignoCharlestown Chiefs (OTT)LW6134-323514512258.33%49716.171232100000000100.00%133000.8200001000
7Alan QuineCharlestown Chiefs (OTT)C/LW/RW31231004650620.00%14816.2100002000000025.00%402001.2300000000
8Andy AndreoffCharlestown Chiefs (OTT)C/LW6303-5135172123725.00%09315.5310126000000071.43%723000.6400100000
9Iiro PakarinenCharlestown Chiefs (OTT)LW/RW6123-400151022574.55%48814.82000000001130033.33%331000.6700000000
10Roland McKeownCharlestown Chiefs (OTT)D61120773514211009.09%69916.571012800000000.00%015000.4000340000
11Jack SkilleCharlestown Chiefs (OTT)LW/RW51122006431133.33%05410.900110100001000.00%100000.7300000000
12John StevensCharlestown Chiefs (OTT)C61122557272314.29%16010.1500000000000052.38%2113000.6600001000
13Mitch HultsCharlestown Chiefs (OTT)C6112-3558781712.50%28313.99000000000110043.18%4441000.4800001000
14Kevin SpinozziCharlestown Chiefs (OTT)D6011-795775450.00%112020.0600003000013000.00%023000.1700001000
15Nathan PaetschCharlestown Chiefs (OTT)D6011-155853420.00%511819.7200001000004000.00%012000.1700001000
16Mark FayneCharlestown Chiefs (OTT)D6011-255366310.00%611318.9500000000012000.00%032000.1800001000
17Sergei KalininCharlestown Chiefs (OTT)C/LW/RW6011055607130.00%06410.83000000000000100.00%200000.3100001000
18Henrik BjorklundCharlestown Chiefs (OTT)LW/RW41011002431233.33%0317.9500000000000050.00%200000.6300000000
19Philip HolmCharlestown Chiefs (OTT)D4000-120689030.00%48621.680000900005000.00%017000.0000000000
20Vince PedrieCharlestown Chiefs (OTT)D2000100322010.00%03517.510000000000000.00%001000.0000000000
Stats d'équipe Total ou en Moyenne108233962-30205115173120202528811.39%56177216.41816241510300021052040.82%3653853010.70001247221
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
1Alexandar GeorgievCharlestown Chiefs (OTT)42110.8644.27239001712569010.000042000
2Kevin BoyleCharlestown Chiefs (OTT)20200.8685.0012000107643000.000024000
Stats d'équipe Total ou en Moyenne62310.8664.513590027201112010.000066000


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
Alan QuineCharlestown Chiefs (OTT)C/LW/RW2625.02.1993No200 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Alex DostieCharlestown Chiefs (OTT)C2213.04.1997Yes165 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Alexandar GeorgievCharlestown Chiefs (OTT)G2310.02.1996Yes176 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Alexei BereglazovCharlestown Chiefs (OTT)D2520.04.1994Yes187 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Andy AndreoffCharlestown Chiefs (OTT)C/LW2816.05.1991No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Ben ScrivensCharlestown Chiefs (OTT)G3210.09.1986No181 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm450,000$45,000$0$No
Chris MuellerCharlestown Chiefs (OTT)C/RW3306.03.1986No209 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Curtis LazarCharlestown Chiefs (OTT)C/LW/RW2402.02.1995No209 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm950,000$95,000$0$NoLien
Dane ByersCharlestown Chiefs (OTT)LW3321.02.1986No204 Lbs6 ft3NoYesNo1Sans RestrictionPro & Farm450,000$45,000$0$No
Henrik BjorklundCharlestown Chiefs (OTT)LW/RW2822.09.1990 14:58:51No202 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Iiro PakarinenCharlestown Chiefs (OTT)LW/RW2724.08.1991No209 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Jack SkilleCharlestown Chiefs (OTT)LW/RW3219.05.1987No216 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Jakub JerabekCharlestown Chiefs (OTT)D2812.05.1991Yes182 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Jakub NakladalCharlestown Chiefs (OTT)D3130.12.1987No212 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Janne KuokkanenCharlestown Chiefs (OTT)C/LW/RW2125.05.1998Yes188 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Jeff GlassCharlestown Chiefs (OTT)G3318.11.1985No206 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm450,000$45,000$0$NoLien
John StevensCharlestown Chiefs (OTT)C2517.04.1994Yes194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Karl StolleryCharlestown Chiefs (OTT)D3121.11.1987No185 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Kevin BoyleCharlestown Chiefs (OTT)G2729.05.1992No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Kevin SpinozziCharlestown Chiefs (OTT)D2323.05.1996Yes188 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Linden VeyCharlestown Chiefs (OTT)C/RW2717.07.1991No189 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Luke KuninCharlestown Chiefs (OTT)C/RW2104.12.1997Yes191 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,500,000$150,000$0$NoLien
Marcus FolignoCharlestown Chiefs (OTT)LW2710.08.1991No228 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm2,700,000$270,000$0$NoLien
Mark FayneCharlestown Chiefs (OTT)D3214.05.1987No212 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Matej MachovskyCharlestown Chiefs (OTT)G2525.07.1993Yes191 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Michael CarusoCharlestown Chiefs (OTT)D3005.07.1988No197 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Mitch HultsCharlestown Chiefs (OTT)C2413.11.1994Yes218 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm833,750$83,375$0$NoLien
Nathan PaetschCharlestown Chiefs (OTT)D3629.03.1983No195 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Peter AnderssonCharlestown Chiefs (OTT)D2812.04.1991No194 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Philip HolmCharlestown Chiefs (OTT)D2708.12.1991Yes190 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Raphael DiazCharlestown Chiefs (OTT)D3308.01.1986No197 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm450,000$45,000$0$No
Robert MayerCharlestown Chiefs (OTT)G2909.10.1989No199 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Roland McKeownCharlestown Chiefs (OTT)D2319.01.1996No195 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm745,000$74,500$0$NoLien
Sergei KalininCharlestown Chiefs (OTT)C/LW/RW2817.03.1991No190 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$50,000$0$No
Vince PedrieCharlestown Chiefs (OTT)D2517.01.1994Yes194 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3527.63197 Lbs6 ft11.86619,393$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Marcus FolignoLuke KuninJanne Kuokkanen35014
2Alan QuineChris MuellerCurtis Lazar35023
3Andy AndreoffMitch HultsIiro Pakarinen20122
4Jack SkilleJohn StevensSergei Kalinin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roland McKeownJakub Jerabek30122
2Kevin SpinozziMark Fayne30122
3Nathan PaetschVince Pedrie30122
4Jakub JerabekRoland McKeown10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Marcus FolignoLuke KuninChris Mueller50005
2Alan QuineCurtis LazarJanne Kuokkanen50005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roland McKeownJakub Jerabek50005
2Nathan PaetschKevin Spinozzi50005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chris MuellerIiro Pakarinen50050
2Mitch HultsCurtis Lazar50050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakub JerabekMark Fayne50050
2Nathan PaetschKevin Spinozzi50050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Iiro Pakarinen50005Kevin SpinozziNathan Paetsch50005
2Mitch Hults50005Mark FayneJakub Jerabek50005
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1John StevensIiro Pakarinen50122
2Mitch HultsAndy Andreoff50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nathan PaetschRoland McKeown50122
2Mark FayneKevin Spinozzi50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Marcus FolignoJanne KuokkanenChris MuellerRoland McKeownJakub Jerabek
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Iiro PakarinenMitch HultsCurtis LazarMark FayneJakub Jerabek
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Janne Kuokkanen, Chris Mueller, Andy AndreoffJanne Kuokkanen, Chris MuellerMitch Hults
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Roland McKeown, Kevin Spinozzi, Jakub JerabekRoland McKeownMark Fayne, Jakub Jerabek
Tirs de Pénalité
Chris Mueller, Mitch Hults, Janne Kuokkanen, Alan Quine, Kevin Spinozzi
Gardien
#1 : Alexandar Georgiev, #2 : Kevin Boyle


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
1Naples Stingrays624000002328-5312000001417-331200000911-240.33323396210698020253698002025620517319842.11%20765.00%05212541.60%5614139.72%419941.41%123651215611558
Total624000002328-5312000001417-331200000911-240.33323396210698020253698002025620517319842.11%20765.00%05212541.60%5614139.72%419941.41%123651215611558
_Since Last GM Reset624000002328-5312000001417-331200000911-240.33323396210698020253698002025620517319842.11%20765.00%05212541.60%5614139.72%419941.41%123651215611558
_Vs Conference624000002328-5312000001417-331200000911-240.33323396210698020253698002025620517319842.11%20765.00%05212541.60%5614139.72%419941.41%123651215611558

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
64L12339622022025620517310
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62400002328
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001417
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3120000911
Derniers 10 Matchs
WLOTWOTL SOWSOL
230100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
19842.11%20765.00%0
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
53698006980
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
5212541.60%5614139.72%419941.41%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
123651215611558


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 - 2018-10-024Charlestown Chiefs5Naples Stingrays3WSommaire du Match
3 - 2018-10-0412Charlestown Chiefs2Naples Stingrays5LSommaire du Match
5 - 2018-10-0620Naples Stingrays5Charlestown Chiefs2LSommaire du Match
7 - 2018-10-0828Naples Stingrays3Charlestown Chiefs5WSommaire du Match
9 - 2018-10-1036Charlestown Chiefs2Naples Stingrays3LXSommaire du Match
11 - 2018-10-1244Naples Stingrays9Charlestown Chiefs7LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3010
Assistance5,4702,688
Assistance PCT91.17%89.60%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
35 2719 - 90.64% 76,392$229,176$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,167,875$ 2,435,070$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 35 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 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
2018624000002328-5312000001417-331200000911-2423396210698020253698002025620517319842.11%20765.00%05212541.60%5614139.72%419941.41%123651215611558
Total Séries624000002328-5312000001417-331200000911-2423396210698020253698002025620517319842.11%20765.00%05212541.60%5614139.72%419941.41%123651215611558