Charlotte Checkers

GP: 68 | W: 9 | L: 55 | OTL: 4 | P: 22
GF: 132 | GA: 355 | PP%: 8.90% | PK%: 73.31%
DG: Sebastien Chando | Morale : 15 | Moyenne d'Équipe : N/A
Prochain matchs #959 vs Bridgeport Sound Tigers
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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
1Blake ColemanX100.0067506871696262577554566950505016700
2Jacob JosefsonX100.0066507879697064658360567493656616700
3Tim Kennedy (R)X100.0059636860635460607565506450606016700
4Kevin Roy (R)X100.0063616769616362625062586255505016700
5Tyler Motte (R)X100.0065507874675866565059627050505016700
6Steve OttX100.0098505876685675577560608250818416700
7Anthony Louis (R)X100.0056536767535158506150505650505016700
8Stefan NoesenX100.0080507971885764605055706650505016700
9David WarsofskyX100.0054616368616467622555556152505016700
10Christian DjoosX100.0053586465586969632561586050505016700
11Erik GustafssonX100.0059746971746972532550506350505016700
12Julius BergmanX100.0058726462726869532560566250505016700
13Jordan OesterleX100.0059677275676574612555586450505013200
14Michael KostkaX100.0067776964777377542559506750555616700
15Brendan SmithX100.0080507680818479632560587550817516700
16Dylan BlujusX100.0058736267735964502554506150505013900
Rayé
MOYENNE D'ÉQUIPE100.006560697069646858455756665356561630
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
1Casey DeSmith100.007368616973727678747431706816700
2Jonathan Bernier100.008784877584858684848566818016700
Rayé
1Jake Paterson (R)100.005977626968726968676946676612000
2Mark Dekanich100.005978687068737069686946676612000
3Tom McCollum100.007669657371767371737331706815500
MOYENNE D'ÉQUIPE100.00717569717376757473744471701460
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Terry Murray91717576999484CAN6621$


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
1Dylan BlujusCharlotte Checkers (Car)D687714-30611513360380018.42%595628.280000000000010.00%000000.5000201222
2Jordan OesterleCharlotte Checkers (Car)D68224-122004627180011.11%312022.980000000000000.00%000000.3900000114
Stats d'équipe Total ou en Moyenne1369918-42811517987560016.07%907655.630000000000010.00%000000.4700201336
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Anthony LouisCharlotte Checkers (Car)C211995-02-10Yes150 Lbs5 ft7NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Blake ColemanCharlotte Checkers (Car)C251991-11-18No198 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Brendan SmithCharlotte Checkers (Car)D271989-02-07No211 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Casey DeSmithCharlotte Checkers (Car)G251991-08-13No181 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Christian DjoosCharlotte Checkers (Car)D221994-08-06No159 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
David WarsofskyCharlotte Checkers (Car)D261990-05-30No170 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Dylan BlujusCharlotte Checkers (Car)D221994-01-22No191 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Erik GustafssonCharlotte Checkers (Car)D241992-03-14No205 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm667,000$0$0$No
Jacob JosefsonCharlotte Checkers (Car)C251991-03-02No190 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Jake PatersonCharlotte Checkers (Car)G221994-05-02Yes176 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Jonathan BernierCharlotte Checkers (Car)G281988-08-07No185 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm2,750,000$0$0$No2,750,000$
Jordan OesterleCharlotte Checkers (Car)D241992-06-24No182 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Julius BergmanCharlotte Checkers (Car)D211995-11-02No195 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Kevin RoyCharlotte Checkers (Car)LW231993-05-19Yes174 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Mark DekanichCharlotte Checkers (Car)G301986-05-09No185 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No300,000$
Michael KostkaCharlotte Checkers (Car)D311985-11-28No210 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Stefan NoesenCharlotte Checkers (Car)LW231993-02-12No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No900,000$
Steve OttCharlotte Checkers (Car)C341982-08-19No189 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Tim KennedyCharlotte Checkers (Car)C301986-04-29Yes175 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Tom McCollumCharlotte Checkers (Car)G271989-12-06No226 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Tyler MotteCharlotte Checkers (Car)C211995-03-10Yes192 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.29188 Lbs6 ft02.33500,810$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
3Dylan Blujus20122
4Jordan Oesterle10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Dylan Blujus, Jordan OesterleDylan Blujus, Jordan Oesterle
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Abbotsford Heat30300000419-1520200000314-111010000015-400.000481200554730059580594554515636563215213.33%11281.82%0615178934.38%726223732.45%350105733.11%11217522208510756311
2Adirondack Phantoms20200000012-121010000004-41010000008-800.000000005547300185805945545861920341100.00%10370.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
3Albany Devils20200000011-111010000006-61010000005-500.000000005547300375805945545782422321100.00%11190.91%0615178934.38%726223732.45%350105733.11%11217522208510756311
4Binghampton Senateurs2010010049-51010000015-41000010034-110.2504711005547300685805945545621216421417.14%7271.43%0615178934.38%726223732.45%350105733.11%11217522208510756311
5Bridgeport Sound Tigers1010000007-7000000000001010000007-700.00000000554730013580594554546141012100.00%4175.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
6Chicago Wolves30200100714-720100100511-61010000023-110.167714210055473008958059455451092818461815.56%9455.56%0615178934.38%726223732.45%350105733.11%11217522208510756311
7Connecticut Whale11000000624110000006240000000000021.000611170055473006858059455451966239111.11%30100.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
8Grand Rapids Griffins311001001314-11000010056-12110000088030.50013263900554730010658059455451304422599222.22%10280.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
9Hamilton Bulldogs30300000316-131010000012-120200000214-1200.0003690055473005858059455451283533431000.00%13561.54%0615178934.38%726223732.45%350105733.11%11217522208510756311
10Hershey Bears1010000007-7000000000001010000007-700.00000000554730029580594554542141218700.00%6183.33%0615178934.38%726223732.45%350105733.11%11217522208510756311
11Houston Aeros30300000920-111010000037-420200000613-700.000917260055473007458059455451695227791218.33%11281.82%1615178934.38%726223732.45%350105733.11%11217522208510756311
12Lake Erie Monsters21100000761000000000002110000076120.50071320005547300915805945545912021693133.33%70100.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
13Manchester Monarchs311001001418-4211000001114-31000010034-130.50014274100554730012858059455451374622789222.22%11554.55%0615178934.38%726223732.45%350105733.11%11217522208510756311
14Milwaukee Admirals30300000222-2020200000213-111010000009-900.0002350055473004258059455451292720531500.00%9455.56%0615178934.38%726223732.45%350105733.11%11217522208510756311
15Norfolk Admirals2110000078-1110000005411010000024-220.500713201055473001005805945545712410591218.33%50100.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
16Oklahoma City Barons2020000038-51010000004-41010000034-100.000358005547300365805945545682518281119.09%7442.86%0615178934.38%726223732.45%350105733.11%11217522208510756311
17Peoria Rivermen31200000714-72110000058-31010000026-420.333714210055473008358059455451584734609111.11%16193.75%0615178934.38%726223732.45%350105733.11%11217522208510756311
18Portland Pirates30300000424-201010000027-520200000217-1500.000481200554730041580594554514036184519315.79%10190.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
19Providence Bruins40400000722-1530300000515-101010000027-500.0007132000554730074580594554515942515727311.11%11372.73%0615178934.38%726223732.45%350105733.11%11217522208510756311
20Rochester Americans30300000125-241010000007-720200000118-1700.000123005547300345805945545123313349700.00%15660.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
21Rockford IceHogs30300000413-92020000028-61010000025-300.0004812005547300715805945545972533532214.55%8187.50%0615178934.38%726223732.45%350105733.11%11217522208510756311
22San Antonio Rampage11000000431000000000001100000043121.000481200554730055580594554537140415120.00%000.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
23Springfield Falcons1010000015-4000000000001010000015-400.0001230055473005580594554540151311700.00%4175.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
24St-John Ice Caps32100000871000000000003210000087140.6678162400554730057580594554510640264417211.76%7185.71%0615178934.38%726223732.45%350105733.11%11217522208510756311
25Syracuse Crunch20200000110-91010000017-61010000003-300.000123005547300335805945545761710451218.33%5260.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
26Texas Stars30300000510-52020000048-41010000012-100.000510150055473006658059455459630204717317.65%11554.55%0615178934.38%726223732.45%350105733.11%11217522208510756311
27Toronto Marlies303000001013-31010000034-12020000079-200.00010203000554730015658059455451134016931317.69%7442.86%0615178934.38%726223732.45%350105733.11%11217522208510756311
Total6895500400132355-223314250020064162-98375300020068193-125220.1621322553871055473001733580594554527807896071296337308.90%2366373.31%1615178934.38%726223732.45%350105733.11%11217522208510756311
29Wilkes-Barre Penguins1010000006-6000000000001010000006-600.0000000055473001858059455453010411600.00%2150.00%0615178934.38%726223732.45%350105733.11%11217522208510756311
30Worchester Sharks20200000110-91010000006-61010000014-300.000123005547300245805945545841616339111.11%6183.33%0615178934.38%726223732.45%350105733.11%11217522208510756311
_Since Last GM Reset6895500400132355-223314250020064162-98375300020068193-125220.1621322553871055473001733580594554527807896071296337308.90%2366373.31%1615178934.38%726223732.45%350105733.11%11217522208510756311
_Vs Conference384320020079197-11818115002003392-59203170000046105-59100.13279154233005547300102058059455451604454351752166159.04%1344070.15%1615178934.38%726223732.45%350105733.11%11217522208510756311

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6822W113225538717332780789607129610
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
689550400132355
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31425020064162
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
37530020068193
Derniers 10 Matchs
WLOTWOTL SOWSOL
270100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
337308.90%2366373.31%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
58059455455547300
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
615178934.38%726223732.45%350105733.11%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11217522208510756311


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 - 2017-10-012Providence Bruins5Charlotte Checkers1LSommaire du Match
3 - 2017-10-0310Charlotte Checkers1Portland Pirates9LSommaire du Match
4 - 2017-10-0414Charlotte Checkers4St-John Ice Caps2WSommaire du Match
6 - 2017-10-0638Charlotte Checkers1Hamilton Bulldogs6LSommaire du Match
10 - 2017-10-1059Abbotsford Heat7Charlotte Checkers1LSommaire du Match
13 - 2017-10-1377Providence Bruins5Charlotte Checkers2LSommaire du Match
15 - 2017-10-1595Charlotte Checkers2Lake Erie Monsters3LSommaire du Match
16 - 2017-10-16105Charlotte Checkers3Houston Aeros7LSommaire du Match
18 - 2017-10-18116Charlotte Checkers0Rochester Americans8LSommaire du Match
19 - 2017-10-19126Manchester Monarchs8Charlotte Checkers4LSommaire du Match
21 - 2017-10-21147Chicago Wolves6Charlotte Checkers5LXSommaire du Match
23 - 2017-10-23161Charlotte Checkers3Grand Rapids Griffins6LSommaire du Match
24 - 2017-10-24176Houston Aeros7Charlotte Checkers3LSommaire du Match
27 - 2017-10-27186Charlotte Checkers4Toronto Marlies5LSommaire du Match
29 - 2017-10-29195Charlotte Checkers4San Antonio Rampage3WSommaire du Match
30 - 2017-10-30208Rockford IceHogs4Charlotte Checkers1LSommaire du Match
32 - 2017-11-01233Abbotsford Heat7Charlotte Checkers2LSommaire du Match
33 - 2017-11-02240Charlotte Checkers0St-John Ice Caps3LSommaire du Match
35 - 2017-11-04255Charlotte Checkers1Springfield Falcons5LSommaire du Match
36 - 2017-11-05266Syracuse Crunch7Charlotte Checkers1LSommaire du Match
39 - 2017-11-08279Charlotte Checkers0Wilkes-Barre Penguins6LSommaire du Match
40 - 2017-11-09297Norfolk Admirals4Charlotte Checkers5WSommaire du Match
42 - 2017-11-11311Charlotte Checkers3Toronto Marlies4LSommaire du Match
43 - 2017-11-12326Toronto Marlies4Charlotte Checkers3LSommaire du Match
44 - 2017-11-13337Charlotte Checkers1Portland Pirates8LSommaire du Match
47 - 2017-11-16356Manchester Monarchs6Charlotte Checkers7WSommaire du Match
48 - 2017-11-17367Charlotte Checkers1Hamilton Bulldogs8LSommaire du Match
50 - 2017-11-19376Charlotte Checkers5Grand Rapids Griffins2WSommaire du Match
52 - 2017-11-21390Providence Bruins5Charlotte Checkers2LSommaire du Match
54 - 2017-11-23410Charlotte Checkers0Syracuse Crunch3LSommaire du Match
55 - 2017-11-24419Binghampton Senateurs5Charlotte Checkers1LSommaire du Match
57 - 2017-11-26429Charlotte Checkers1Worchester Sharks4LSommaire du Match
58 - 2017-11-27445Charlotte Checkers0Hershey Bears7LSommaire du Match
60 - 2017-11-29451Worchester Sharks6Charlotte Checkers0LSommaire du Match
62 - 2017-12-01478Charlotte Checkers2Chicago Wolves3LSommaire du Match
63 - 2017-12-02486Grand Rapids Griffins6Charlotte Checkers5LXSommaire du Match
64 - 2017-12-03505Portland Pirates7Charlotte Checkers2LSommaire du Match
69 - 2017-12-08520Charlotte Checkers1Rochester Americans10LSommaire du Match
70 - 2017-12-09537Charlotte Checkers3Houston Aeros6LSommaire du Match
71 - 2017-12-10545Adirondack Phantoms4Charlotte Checkers0LSommaire du Match
74 - 2017-12-13566Connecticut Whale2Charlotte Checkers6WSommaire du Match
76 - 2017-12-15579Charlotte Checkers2Norfolk Admirals4LSommaire du Match
77 - 2017-12-16588Charlotte Checkers0Milwaukee Admirals9LSommaire du Match
80 - 2017-12-19599Chicago Wolves5Charlotte Checkers0LSommaire du Match
82 - 2017-12-21615Charlotte Checkers1Texas Stars2LSommaire du Match
86 - 2017-12-25628Peoria Rivermen3Charlotte Checkers4WSommaire du Match
88 - 2017-12-27638Charlotte Checkers0Albany Devils5LSommaire du Match
89 - 2017-12-28657Oklahoma City Barons4Charlotte Checkers0LSommaire du Match
90 - 2017-12-29665Charlotte Checkers3Manchester Monarchs4LXSommaire du Match
93 - 2018-01-01688Milwaukee Admirals6Charlotte Checkers1LSommaire du Match
95 - 2018-01-03710Charlotte Checkers3Oklahoma City Barons4LSommaire du Match
97 - 2018-01-05719Rockford IceHogs4Charlotte Checkers1LSommaire du Match
100 - 2018-01-08736Charlotte Checkers2Rockford IceHogs5LSommaire du Match
101 - 2018-01-09747Rochester Americans7Charlotte Checkers0LSommaire du Match
103 - 2018-01-11760Charlotte Checkers2Peoria Rivermen6LSommaire du Match
105 - 2018-01-13773Charlotte Checkers1Abbotsford Heat5LSommaire du Match
106 - 2018-01-14784Texas Stars4Charlotte Checkers2LSommaire du Match
109 - 2018-01-17808Peoria Rivermen5Charlotte Checkers1LSommaire du Match
111 - 2018-01-19822Charlotte Checkers2Providence Bruins7LSommaire du Match
112 - 2018-01-20837Hamilton Bulldogs2Charlotte Checkers1LSommaire du Match
114 - 2018-01-22842Charlotte Checkers5Lake Erie Monsters3WSommaire du Match
116 - 2018-01-24867Charlotte Checkers0Adirondack Phantoms8LSommaire du Match
117 - 2018-01-25872Texas Stars4Charlotte Checkers2LSommaire du Match
119 - 2018-01-27887Charlotte Checkers3Binghampton Senateurs4LXSommaire du Match
120 - 2018-01-28899Milwaukee Admirals7Charlotte Checkers1LSommaire du Match
121 - 2018-01-29914Charlotte Checkers0Bridgeport Sound Tigers7LSommaire du Match
123 - 2018-01-31928Albany Devils6Charlotte Checkers0LSommaire du Match
124 - 2018-02-01942Charlotte Checkers4St-John Ice Caps2WSommaire du Match
128 - 2018-02-05959Bridgeport Sound Tigers-Charlotte Checkers-
133 - 2018-02-10989Wilkes-Barre Penguins-Charlotte Checkers-
137 - 2018-02-141018St-John Ice Caps-Charlotte Checkers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161023Charlotte Checkers-Portland Pirates-
142 - 2018-02-191047St-John Ice Caps-Charlotte Checkers-
143 - 2018-02-201059Charlotte Checkers-San Antonio Rampage-
145 - 2018-02-221079Lake Erie Monsters-Charlotte Checkers-
149 - 2018-02-261108Hershey Bears-Charlotte Checkers-
152 - 2018-03-011131San Antonio Rampage-Charlotte Checkers-
153 - 2018-03-021136Charlotte Checkers-Oklahoma City Barons-
156 - 2018-03-051163Springfield Falcons-Charlotte Checkers-
161 - 2018-03-101188San Antonio Rampage-Charlotte Checkers-
164 - 2018-03-131203Charlotte Checkers-Connecticut Whale-
168 - 2018-03-171226Houston Aeros-Charlotte Checkers-



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
10 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
82,168$ 105,170$ 123,820$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 82,168$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 42 622$ 26,124$




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
126895500400132355-223314250020064162-98375300020068193-125221322553871055473001733580594554527807896071296337308.90%2366373.31%1615178934.38%726223732.45%350105733.11%11217522208510756311
Total Saison Régulière6895500400132355-223314250020064162-98375300020068193-125221322553871055473001733580594554527807896071296337308.90%2366373.31%1615178934.38%726223732.45%350105733.11%11217522208510756311