Connexion

Charlotte Checkers
GP: 14 | W: 7 | L: 7
GF: 59 | GA: 48 | PP%: 31.58% | PK%: 73.47%
DG: | Morale : 47 | Moyenne d’équipe : 67
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Centre de jeu
Cleveland Monsters
12-8-0, 24pts
4
FINAL
10 Charlotte Checkers
7-7-0, 14pts
Team Stats
W1SéquenceL1
6-5-0Fiche domicile3-3-0
6-3-0Fiche domicile4-4-0
6-2-2Derniers 10 matchs6-2-2
3.85Buts par match 4.21
3.25Buts contre par match 3.43
20.00%Pourcentage en avantage numérique31.58%
77.65%Pourcentage en désavantage numérique73.47%
Charlotte Checkers
7-7-0, 14pts
1
FINAL
5 Cleveland Monsters
12-8-0, 24pts
Team Stats
L1SéquenceW1
3-3-0Fiche domicile6-5-0
4-4-0Fiche domicile6-3-0
6-2-2Derniers 10 matchs6-2-2
4.21Buts par match 3.85
3.43Buts contre par match 3.25
31.58%Pourcentage en avantage numérique20.00%
73.47%Pourcentage en désavantage numérique77.65%
Meneurs d'équipe
Buts
Martin Frk
14
Passes
Wayne Simmonds
14
Points
Martin Frk
27
Plus/Moins
Isaak Phillips
9
Victoires
Lukas Dostal
7
Pourcentage d’arrêts
Lukas Dostal
0.914

Statistiques d’équipe
Buts pour
59
4.21 GFG
Tirs pour
610
43.57 Avg
Pourcentage en avantage numérique
31.6%
18 GF
Début de zone offensive
40.0%
Buts contre
48
3.43 GAA
Tirs contre
556
39.71 Avg
Pourcentage en désavantage numérique
73.5%%
13 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur général
EntraîneurKris Knoblauch
DivisionNortheast
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure22
Limite contact 40 / 62
Espoirs4


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 SPÂgeContratSalaire
1Phillip Di GiuseppeX100.00704579748085787540686868718281078710301700,000$
2Marco Rossi (R)X100.00624064827675758862706463657675080710223950,000$
3Boris KatchoukX100.00805576748483767450716671716051079700252600,000$
4Wayne SimmondsXX100.00867768719582806740646164669191079690351900,000$
5Colin BlackwellXX100.00734088757482807155706269697261078690311600,000$
6Martin FrkX100.00584185789578697044666659678281078690301800,000$
7Matej Blumel (R)X100.00634085808072827443636059657676076680233600,000$
8Turner ElsonX100.00564069797971727443636060648281080670311500,000$
9Riley NashXX100.00564567706070716662666262667164045640351500,000$
10Andy AndreoffXX100.00534663666370716663636751676659079630321700,000$
11Jesper FrodenX100.00604071725767676543626366675951018620291700,000$
12Cole SchwindtXX100.00624571716563646258605658635251078600232600,000$
13Jonas RondbjergX100.00624074676663636242595559625451077600252500,000$
14Josiah SlavinX100.00534073616563645941555249585451074560252500,000$
15Dakota MermisX100.00626159696368696740645869636254073640301700,000$
16Isaak PhillipsX100.00674256716760606540635869635251077630222600,000$
Rayé
MOYENNE D’ÉQUIPE100.0064467273737271694864616265686407265
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 SPÂgeContratSalaire
1Lukas Dostal100.0086757582898687828079807676080800232800,000$
2Laurent Brossoit100.00837977897879798080797683830807903112,300,000$
Rayé
MOYENNE D’ÉQUIPE100.008577768684838381807978808008080
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kris Knoblauch7370697058551CAN442600,000$


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’équipePOSGP 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
1Martin FrkCharlotte Checkers (FLA)RW14141327455241887245316.09%426218.724591843000021133.33%6146022.0600001400
2Wayne SimmondsCharlotte Checkers (FLA)LW/RW148142211810382471254511.27%1531922.82371016430001153062.50%8910011.3800200220
3Marco RossiCharlotte Checkers (FLA)C1481321080364173254910.96%1539528.2336911420000411049.77%430197001.0600000031
4Phillip Di GiuseppeCharlotte Checkers (FLA)LW14101020-175403162262816.13%1239628.3263915410001440041.18%171116011.0100100102
5Colin BlackwellCharlotte Checkers (FLA)C/RW1411112-8101026184216272.38%1333523.980225380001200043.90%41711000.7100002001
6Isaak PhillipsCharlotte Checkers (FLA)D1411011914055304314142.33%2744331.65145960000133000%099000.5000000021
7Dakota MermisCharlotte Checkers (FLA)D141787321038323028163.33%3043531.14112461000029000%0819000.3700101001
8Matej BlumelCharlotte Checkers (FLA)LW146173007828112021.43%61248.8900003000010033.33%661001.1300000001
9Boris KatchoukCharlotte Checkers (FLA)LW1424614025187217412.78%724217.340117270000150037.50%1683000.4900000000
10Turner ElsonCharlotte Checkers (FLA)LW14426-21410111426141415.38%415511.1101104000061042.64%12947000.7700101000
11Andy AndreoffCharlotte Checkers (FLA)C/LW14123-16014153313243.03%718213.0400000000010049.57%11794000.3300000000
12Jonas RondbjergCharlotte Checkers (FLA)RW1412322010666416.67%41188.4800000000001042.86%703000.5100000000
13Riley NashCharlotte Checkers (FLA)C/RW31121004893411.11%03612.1600001000000061.76%3410001.1000000000
14Cole SchwindtCharlotte Checkers (FLA)C/RW14022240121010520%31198.5000000000000048.39%9303000.3400000000
15Josiah SlavinCharlotte Checkers (FLA)LW14000240500100%1705.0500001000010019.05%210000000000000
16Jesper FrodenCharlotte Checkers (FLA)RW1000020121000%01010.220000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne200589215020130503462755932283419.78%148364818.241830488537000042137147.57%925105100040.8200505777
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
1Lukas DostalCharlotte Checkers (FLA)147340.9143.3685840485562371000140100
Statistiques d’équipe totales ou en moyenne147340.9143.368584048556237100140100


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andy AndreoffCharlotte Checkers (FLA)C/LW321991-05-17No201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Boris KatchoukCharlotte Checkers (FLA)LW251998-06-18No206 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------500,000$--------No--------
Cole SchwindtCharlotte Checkers (FLA)C/RW232001-04-25No183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------500,000$--------No--------
Colin BlackwellCharlotte Checkers (FLA)C/RW311993-03-28No190 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------
Dakota MermisCharlotte Checkers (FLA)D301994-01-05No196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Isaak PhillipsCharlotte Checkers (FLA)D222001-09-28No194 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------500,000$--------No--------
Jesper FrodenCharlotte Checkers (FLA)RW291994-09-21No176 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Jonas RondbjergCharlotte Checkers (FLA)RW251999-03-31No196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Josiah SlavinCharlotte Checkers (FLA)LW251998-12-31No190 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Laurent BrossoitCharlotte Checkers (FLA)G311993-03-23No215 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,300,000$0$0$No---------------------------
Lukas DostalCharlotte Checkers (FLA)G232000-06-22No174 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------500,000$--------No--------
Marco RossiCharlotte Checkers (FLA)C222001-09-23Yes183 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------500,000$500,000$-------NoNo-------
Martin FrkCharlotte Checkers (FLA)RW301993-10-05No205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Matej BlumelCharlotte Checkers (FLA)LW232000-05-31Yes198 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------925,000$925,000$-------NoNo-------
Phillip Di GiuseppeCharlotte Checkers (FLA)LW301993-10-09No193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Riley NashCharlotte Checkers (FLA)C/RW351989-05-09No187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Turner ElsonCharlotte Checkers (FLA)LW311992-09-13No181 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Wayne SimmondsCharlotte Checkers (FLA)LW/RW351988-08-26No184 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1827.89192 Lbs6 ft11.56752,778$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip Di GiuseppeMarco RossiMartin Frk40122
2Boris KatchoukColin BlackwellWayne Simmonds30122
3Matej BlumelRiley NashJesper Froden20122
4Turner ElsonAndy AndreoffJonas Rondbjerg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisIsaak Phillips40122
2Dakota MermisIsaak Phillips30122
3Marco RossiPhillip Di Giuseppe20122
4Boris KatchoukMartin Frk10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip Di GiuseppeMarco RossiMartin Frk60122
2Boris KatchoukColin BlackwellWayne Simmonds40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisIsaak Phillips60122
2Dakota MermisIsaak Phillips40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Marco RossiPhillip Di Giuseppe60122
2Boris KatchoukMartin Frk40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisIsaak Phillips60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Marco Rossi60122Dakota MermisIsaak Phillips60122
2Phillip Di Giuseppe4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Marco RossiPhillip Di Giuseppe60122
2Boris KatchoukMartin Frk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisIsaak Phillips60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip Di GiuseppeMarco RossiMartin FrkDakota MermisIsaak Phillips
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip Di GiuseppeMarco RossiMartin FrkDakota MermisIsaak Phillips
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Schwindt, Josiah Slavin, Matej BlumelCole Schwindt, Josiah SlavinMatej Blumel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dakota Mermis, Isaak Phillips, Dakota MermisIsaak Phillips,
Tirs de pénalité
Marco Rossi, Phillip Di Giuseppe, Boris Katchouk, Martin Frk, Colin Blackwell
Gardien
#1 : Lukas Dostal, #2 : Laurent Brossoit


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
TotalDomicileVisiteur
# 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
1Cleveland Monsters73400000302643120000015114422000001515060.429305080001820201304227191181112807569171401230.00%27774.07%019243444.24%17741942.24%8823237.93%303181324125232113
2Hartford Wolf pack7430000029227321000001293422000001713480.57129477600182020130622719118111276897919817635.29%22672.73%019243444.24%17741942.24%8823237.93%303181324125232113
Total14770000059481163300000272078440000032284140.500599715600182020161022719118111556164148369571831.58%491373.47%019243444.24%17741942.24%8823237.93%303181324125232113
_Since Last GM Reset14770000059481163300000272078440000032284140.500599715600182020161022719118111556164148369571831.58%491373.47%019243444.24%17741942.24%8823237.93%303181324125232113
_Vs Conference14770000059481163300000272078440000032284140.500599715600182020161022719118111556164148369571831.58%491373.47%019243444.24%17741942.24%8823237.93%303181324125232113

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1414L1599715661055616414836900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
147700005948
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300002720
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
84400003228
Derniers 10 matchs
WLOTWOTL SOWSOL
521200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
571831.58%491373.47%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
227191181111820201
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
19243444.24%17741942.24%8823237.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
303181324125232113


Derniers matchs 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
11Charlotte Checkers5Hartford Wolf pack6LXSommaire du match
29Charlotte Checkers2Hartford Wolf pack3LSommaire du match
317Hartford Wolf pack5Charlotte Checkers4LXSommaire du match
425Hartford Wolf pack1Charlotte Checkers4WSommaire du match
533Charlotte Checkers6Hartford Wolf pack2WSommaire du match
641Hartford Wolf pack3Charlotte Checkers4WSommaire du match
749Charlotte Checkers4Hartford Wolf pack2WSommaire du match
857Charlotte Checkers5Cleveland Monsters4WXSommaire du match
961Charlotte Checkers7Cleveland Monsters3WSommaire du match
1065Cleveland Monsters3Charlotte Checkers2LXSommaire du match
1169Cleveland Monsters4Charlotte Checkers3LSommaire du match
1273Charlotte Checkers2Cleveland Monsters3LXSommaire du match
1377Cleveland Monsters4Charlotte Checkers10WSommaire du match
1481Charlotte Checkers1Cleveland Monsters5LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,355,000$ 1,567,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 7 0$ 0$




Charlotte Checkers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Charlotte Checkers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Charlotte Checkers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Charlotte Checkers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Charlotte Checkers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA