Charlotte Checkers

GP: 23 | W: 10 | L: 10 | OTL: 3 | P: 23
GF: 63 | GA: 77 | PP%: 14.71% | PK%: 81.00%
DG: Richard Gadbois | Morale : 55 | Moyenne d'Équipe : N/A
Prochain matchs #380 vs The Nuuk Vikings
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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 SPÂgeContratSalaire Moyen
1Ales Hemsky (C)X100.00574086746869698250797563849999705400371800,000$
2Kiefer Sherwood (R)XXX100.00783876778385847873777574716969705000252950,000$
3Andrew LaddX99.007745807080848676627574758099997034003512,000,000$
4Joe ColborneXX99.007140927587807877757876677689917055003021,200,000$
5Daniel CarrXX100.007040827679828077657577707571717042002921,200,000$
6Paul Byron (A)XXX100.007237938474747374767475667591957053003121,200,000$
7Zac DalpeXX96.006442907980797880787976687892967049003111,800,000$
8Carter AshtonX99.008343737383787674687575717385877055002921,300,000$
9Joey HishonX100.007540797675797775747876637383847054002911,100,000$
10Oscar LindbergXX100.00784076757983817676767466778079705500291930,000$
11Sondre OldenXX100.007535807879797977657777687676817049002811,450,000$
12Kenny AgostinoX99.008445748082828179658179687680807053002821,300,000$
13Anton Volchenkov (A)X100.00834574618469686250675586519999704200381850,000$
14Alexei Bereglazov (R)X100.007642766980767568507057805158617057002621,000,000$
15Theo PeckhamX99.009748677291828073507560856098997057003321,900,000$
16Michael PaliottaX99.009150707488827976507662846079797054002711,400,000$
17Markus LauridsenX100.008543777280807572507560845885827056002921,000,000$
18Patrik NemethX100.009043757387777471507759835787847058002831,400,000$
Rayé
1Radovan Bondra (R)XX100.00875068728676767265737169666462704700232600,000$
2Stephen JohnsX78.359146707088777473507661855977807042002831,300,000$
MOYENNE D'ÉQUIPE98.4079437874827977756276707469838470510
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
1Ben Scrivens100.0083808588848688868385878790705300
2Cameron Talbot100.0082788085858382818483848084703300
3Jhonas Enroth97.0085818485898888888889858694703000
Rayé
MOYENNE D'ÉQUIPE99.008380838686868685858685848970390
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens85908580808070CAN542900,000$


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
1Theo PeckhamCharlotte Checkers (CAR)D2311819734069234817232.08%3857324.931232162011073000.00%000000.6600000102
2Zac DalpeCharlotte Checkers (CAR)C/RW231091962055267154814.93%445319.701019611012633154.95%64600000.8412000211
3Patrik NemethCharlotte Checkers (CAR)D2321214316029222321358.70%4453723.360441259000077000.00%000000.5200000100
4Paul ByronCharlotte Checkers (CAR)C/LW/RW2310212660123767163814.93%035615.4920213350000182253.39%33900000.6712000210
5Sondre OldenCharlotte Checkers (CAR)LW/RW236612-74024947103312.77%128712.48224742000081062.50%2400000.8400000010
6Markus LauridsenCharlotte Checkers (CAR)D232911-620019152212129.09%3845519.81134952000071000.00%000000.4800000002
7Joe ColborneCharlotte Checkers (CAR)C/LW232810-64012404113404.88%036415.860336470000480154.00%43700000.5500000100
8Kenny AgostinoCharlotte Checkers (CAR)LW235510-124062406519587.69%345819.920119630001810147.94%19400000.4413000111
9Daniel CarrCharlotte Checkers (CAR)LW/RW231783207132110164.76%11697.3500001000020046.15%1300000.9500000000
10Alexei BereglazovCharlotte Checkers (CAR)D23268-51002721143914.29%1838716.8700014000038010.00%000000.4100000000
11Oscar LindbergCharlotte Checkers (CAR)C/LW23527-860303847144110.64%440217.4900000000071055.02%22900100.3500000100
12Ales HemskyCharlotte Checkers (CAR)RW23336-82009459246.67%42129.2200002000011057.14%1400000.5701000010
13Anton VolchenkovCharlotte Checkers (CAR)D14156212022912288.33%1419013.600001000005000.00%000000.6300000001
14Michael PaliottaCharlotte Checkers (CAR)D18426-920024222271418.18%1927415.27101914011026000.00%000000.4400000100
15Stephen JohnsCharlotte Checkers (CAR)D17145-41203122235154.35%3333219.570001139000150000.00%000000.3000000000
16Kiefer SherwoodCharlotte Checkers (CAR)C/LW/RW23134-26027247324461.37%440517.6411216640000600057.58%6600000.2000000000
17Carter AshtonCharlotte Checkers (CAR)RW23134416048264013312.50%331013.49000111000000063.64%1100000.2600000100
18Joey HishonCharlotte Checkers (CAR)C23134-11002215285203.57%42289.9200025000000045.54%11200000.3500000000
19Andrew LaddCharlotte Checkers (CAR)LW13123040159207135.00%418113.981123140000510042.86%1400000.3300000000
20Radovan BondraCharlotte Checkers (CAR)LW/RW18202-6602781861911.11%119110.6500000000000044.44%1800000.2100000000
Stats d'équipe Total ou en Moyenne42561109170-3221605124547432285438.21%237677215.9410172713058512346878653.38%211700100.50380001157
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jhonas EnrothCharlotte Checkers (CAR)2210920.8913.42121120696350120.8758220140
2Ben ScrivensCharlotte Checkers (CAR)50110.9482.06146005960000.0000122000
3Cameron TalbotCharlotte Checkers (CAR)10001.0000.0041000250000.000001000
Stats d'équipe Total ou en Moyenne28101030.9023.17139920747560120.87582323140


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 Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Ales HemskyCharlotte Checkers (CAR)RW371982-01-22 18:29:38No184 Lbs6 ft0NoNoNo1Pro & Farm800,000$587,234$800,000$587,234$0$0$No
Alexei BereglazovCharlotte Checkers (CAR)D261993-01-22 03:52:06Yes205 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$734,042$1,000,000$734,042$0$0$No1,000,000$
Andrew LaddCharlotte Checkers (CAR)LW351984-01-22 06:29:38No205 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$1,468,085$2,000,000$1,468,085$0$0$No
Anton VolchenkovCharlotte Checkers (CAR)D381981-01-22 12:29:38No225 Lbs6 ft1NoNoNo1Pro & Farm850,000$623,936$850,000$623,936$0$0$No
Ben ScrivensCharlotte Checkers (CAR)G341985-01-22 18:29:38No183 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$1,101,063$1,500,000$1,101,063$0$0$No
Cameron TalbotCharlotte Checkers (CAR)G331986-01-22 00:29:38No200 Lbs6 ft3NoNoNo1Pro & Farm850,000$623,936$850,000$623,936$0$0$No
Carter AshtonCharlotte Checkers (CAR)RW291990-01-22 17:03:26No215 Lbs6 ft3NoNoNo2Pro & Farm1,300,000$954,255$1,300,000$954,255$0$0$No1,300,000$
Daniel CarrCharlotte Checkers (CAR)LW/RW291990-01-22 06:38:38No192 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$880,851$1,200,000$880,851$0$0$No1,200,000$
Jhonas EnrothCharlotte Checkers (CAR)G321987-01-22 06:29:38No166 Lbs5 ft10NoNoNo2Pro & Farm1,600,000$1,174,468$1,600,000$1,174,468$0$0$No1,600,000$
Joe ColborneCharlotte Checkers (CAR)C/LW301989-01-22 12:29:38No213 Lbs6 ft5NoNoNo2Pro & Farm1,200,000$880,851$1,200,000$880,851$0$0$No1,200,000$
Joey HishonCharlotte Checkers (CAR)C291990-01-22 12:26:47No175 Lbs5 ft11NoNoNo1Pro & Farm1,100,000$807,446$1,100,000$807,446$0$0$No
Kenny AgostinoCharlotte Checkers (CAR)LW281991-01-22 16:08:28No200 Lbs6 ft1NoNoNo2Pro & Farm1,300,000$954,255$1,300,000$954,255$0$0$No1,300,000$
Kiefer SherwoodCharlotte Checkers (CAR)C/LW/RW251994-01-22 03:28:22Yes194 Lbs6 ft0NoNoNo2Pro & Farm950,000$697,340$950,000$697,340$0$0$No950,000$
Markus LauridsenCharlotte Checkers (CAR)D291990-01-22 04:26:19No205 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$734,042$1,000,000$734,042$0$0$No1,000,000$
Michael PaliottaCharlotte Checkers (CAR)D271992-01-22 16:21:00No201 Lbs6 ft3NoNoNo1Pro & Farm1,400,000$1,027,659$1,400,000$1,027,659$0$0$No
Oscar LindbergCharlotte Checkers (CAR)C/LW291990-01-22 09:38:25No185 Lbs6 ft0NoNoNo1Pro & Farm930,000$682,659$930,000$682,659$0$0$No
Patrik NemethCharlotte Checkers (CAR)D281991-01-22 05:41:31No233 Lbs6 ft4NoNoNo3Pro & Farm1,400,000$1,027,659$1,400,000$1,027,659$0$0$No1,400,000$1,400,000$
Paul ByronCharlotte Checkers (CAR)C/LW/RW311988-01-22 06:29:38No170 Lbs5 ft9NoNoNo2Pro & Farm1,200,000$880,851$1,200,000$880,851$0$0$No1,200,000$
Radovan BondraCharlotte Checkers (CAR)LW/RW231996-01-22 10:25:16Yes216 Lbs6 ft5NoNoNo2Pro & Farm600,000$440,425$600,000$440,425$0$0$No600,000$
Sondre OldenCharlotte Checkers (CAR)LW/RW281991-01-22 02:24:22No194 Lbs6 ft4NoNoNo1Pro & Farm1,450,000$1,064,361$1,450,000$1,064,361$0$0$No
Stephen Johns (Sur la Masse Salariale)Charlotte Checkers (CAR)D281991-01-22 11:57:49No233 Lbs6 ft4NoNoNo3Pro & Farm1,300,000$954,255$1,300,000$954,255$0$0$Yes1,300,000$1,300,000$
Theo PeckhamCharlotte Checkers (CAR)D331986-01-22 18:29:38No234 Lbs6 ft2NoNoNo2Pro & Farm1,900,000$1,394,680$1,900,000$1,394,680$0$0$No1,900,000$
Zac DalpeCharlotte Checkers (CAR)C/RW311988-01-22 06:29:38No195 Lbs6 ft1NoNoNo1Pro & Farm1,800,000$1,321,276$1,800,000$1,321,276$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2330.09201 Lbs6 ft21.651,244,783$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andrew LaddZac DalpeKiefer Sherwood25122
2Kenny AgostinoJoe ColborneCarter Ashton25122
3Oscar LindbergJoey HishonPaul Byron25122
4Daniel CarrZac DalpeSondre Olden25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Theo PeckhamMichael Paliotta25122
2Patrik NemethMarkus Lauridsen25122
3Anton VolchenkovAlexei Bereglazov25122
4Theo PeckhamMichael Paliotta25122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andrew LaddZac DalpeKiefer Sherwood60122
2Kenny AgostinoJoe ColborneCarter Ashton40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Theo PeckhamMichael Paliotta60122
2Patrik NemethMarkus Lauridsen40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Zac DalpeAndrew Ladd60122
2Kenny AgostinoJoe Colborne40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Theo PeckhamMichael Paliotta60122
2Patrik NemethMarkus Lauridsen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zac Dalpe60122Theo PeckhamMichael Paliotta60122
2Andrew Ladd40122Patrik NemethMarkus Lauridsen40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Zac DalpeAndrew Ladd60122
2Kenny AgostinoJoe Colborne40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Theo PeckhamMichael Paliotta60122
2Patrik NemethMarkus Lauridsen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrew LaddZac DalpeKiefer SherwoodTheo PeckhamMichael Paliotta
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrew LaddZac DalpeKiefer SherwoodTheo PeckhamMichael Paliotta
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ales Hemsky, Joey Hishon, Oscar LindbergAles Hemsky, Joey HishonOscar Lindberg
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anton Volchenkov, Alexei Bereglazov, Patrik NemethAnton VolchenkovAlexei Bereglazov, Patrik Nemeth
Tirs de Pénalité
Zac Dalpe, Andrew Ladd, Kenny Agostino, Joe Colborne, Kiefer Sherwood
Gardien
#1 : Jhonas Enroth, #2 : Ben Scrivens, #3 : Cameron Talbot
Lignes d'Attaque Perso. en Prol.
Zac Dalpe, Andrew Ladd, Kenny Agostino, Joe Colborne, Kiefer Sherwood, Joey Hishon, Joey Hishon, Carter Ashton, Oscar Lindberg, Paul Byron, Daniel Carr
Lignes de Défense Perso. en Prol.
Theo Peckham, Michael Paliotta, Patrik Nemeth, Markus Lauridsen, Anton Volchenkov


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
1Adirondack Phantoms11000000312110000003120000000000021.000369002219185322312422542425242611100.00%2150.00%046185753.79%48189553.74%18833456.29%546372560170295144
2Binghamton Senators1010000014-31010000014-30000000000000.00012300221918534231242254242771231200.00%50100.00%046185753.79%48189553.74%18833456.29%546372560170295144
3Bridgeport Sound Tigers1010000013-21010000013-20000000000000.000112102219185242312422542438108246116.67%4250.00%046185753.79%48189553.74%18833456.29%546372560170295144
4CCCP Red Army2010001078-1100000104311010000035-220.50079160022191856223124225424581320503133.33%9366.67%046185753.79%48189553.74%18833456.29%546372560170295144
5Chicago Wolves20001100770000000000002000110077030.75071320002219185702312422542456196467114.29%30100.00%046185753.79%48189553.74%18833456.29%546372560170295144
6Chicoutimi Saguenéens11000000541110000005410000000000021.0005101500221918538231242254243114420200.00%2150.00%046185753.79%48189553.74%18833456.29%546372560170295144
7Connecticut Whale1010000005-5000000000001010000005-500.000000002219185142312422542446181426100.00%70100.00%046185753.79%48189553.74%18833456.29%546372560170295144
8Lake Erie Monsters1010000034-1000000000001010000034-100.000369002219185162312422542443172221100.00%10280.00%146185753.79%48189553.74%18833456.29%546372560170295144
9Las Vegas Gamblers21100000660211000006600000000000020.500611170022191856823124225424642122419111.11%11281.82%046185753.79%48189553.74%18833456.29%546372560170295144
10Manitoba Moose30101010810-2100010005412010001036-340.667813210022191859823124225424932620678225.00%10280.00%046185753.79%48189553.74%18833456.29%546372560170295144
11Mercer Island Hafgufa11000000514000000000001100000051421.000591400221918550231242254243418822400.00%20100.00%046185753.79%48189553.74%18833456.29%546372560170295144
12Norfolk Admirals2110000036-3110000003211010000004-420.500369002219185582312422542463112437800.00%10280.00%046185753.79%48189553.74%18833456.29%546372560170295144
13Providence Bruins2000010179-21000010045-11000000134-120.500712190022191857723124225424592226486233.33%13284.62%046185753.79%48189553.74%18833456.29%546372560170295144
14Rochester Americans1010000023-11010000023-10000000000000.000235002219185302312422542453111616300.00%80100.00%046185753.79%48189553.74%18833456.29%546372560170295144
15San Antonio Rampage11000000431000000000001100000043121.0004610002219185342312422542429132206116.67%000.00%046185753.79%48189553.74%18833456.29%546372560170295144
Total23610022216377-141144011103435-11226011112942-13230.5006310917220221918574323124225424758237218512681014.71%1001981.00%146185753.79%48189553.74%18833456.29%546372560170295144
16Trois-Rivières Draveurs1010000013-2000000000001010000013-200.000123102219185382312422542439151017100.00%4250.00%046185753.79%48189553.74%18833456.29%546372560170295144
_Since Last GM Reset23610022216377-141144011103435-11226011112942-13230.5006310917220221918574323124225424758237218512681014.71%1001981.00%146185753.79%48189553.74%18833456.29%546372560170295144
_Vs Conference1748011214259-17933011102829-1815000111430-16160.47142701122022191855392312422542456116216038247817.02%741579.73%046185753.79%48189553.74%18833456.29%546372560170295144

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2323W26310917274375823721851220
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2361022216377
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
114411103435
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
122611112942
Derniers 10 Matchs
WLOTWOTL SOWSOL
260101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
681014.71%1001981.00%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
231242254242219185
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
46185753.79%48189553.74%18833456.29%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
546372560170295144


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 - 2020-10-282Las Vegas Gamblers4Charlotte Checkers2LSommaire du Match
3 - 2020-10-3019Charlotte Checkers0Connecticut Whale5LSommaire du Match
6 - 2020-11-0247Adirondack Phantoms1Charlotte Checkers3WSommaire du Match
7 - 2020-11-0355Charlotte Checkers4Chicago Wolves5LXSommaire du Match
10 - 2020-11-0674Chicoutimi Saguenéens4Charlotte Checkers5WSommaire du Match
12 - 2020-11-0895Charlotte Checkers3CCCP Red Army5LSommaire du Match
14 - 2020-11-10111Las Vegas Gamblers2Charlotte Checkers4WSommaire du Match
16 - 2020-11-12120Charlotte Checkers0Norfolk Admirals4LSommaire du Match
18 - 2020-11-14139CCCP Red Army3Charlotte Checkers4WXXSommaire du Match
21 - 2020-11-17160Charlotte Checkers4San Antonio Rampage3WSommaire du Match
23 - 2020-11-19175Norfolk Admirals2Charlotte Checkers3WSommaire du Match
26 - 2020-11-22197Charlotte Checkers3Manitoba Moose2WXXSommaire du Match
28 - 2020-11-24207Charlotte Checkers3Chicago Wolves2WXSommaire du Match
30 - 2020-11-26218Bridgeport Sound Tigers3Charlotte Checkers1LSommaire du Match
32 - 2020-11-28238Rochester Americans3Charlotte Checkers2LSommaire du Match
35 - 2020-12-01261Charlotte Checkers3Providence Bruins4LXXSommaire du Match
37 - 2020-12-03274Binghamton Senators4Charlotte Checkers1LSommaire du Match
40 - 2020-12-06292Charlotte Checkers3Lake Erie Monsters4LSommaire du Match
42 - 2020-12-08310Providence Bruins5Charlotte Checkers4LXSommaire du Match
44 - 2020-12-10328Charlotte Checkers0Manitoba Moose4LSommaire du Match
46 - 2020-12-12341Charlotte Checkers1Trois-Rivières Draveurs3LSommaire du Match
48 - 2020-12-14349Manitoba Moose4Charlotte Checkers5WXSommaire du Match
50 - 2020-12-16366Charlotte Checkers5Mercer Island Hafgufa1WSommaire du Match
52 - 2020-12-18380The Nuuk Vikings-Charlotte Checkers-
54 - 2020-12-20390Charlotte Checkers-Connecticut Whale-
57 - 2020-12-23414Bridgeport Sound Tigers-Charlotte Checkers-
60 - 2020-12-26437Charlotte Checkers-Roberval Dwarfs-
61 - 2020-12-27447Gatineau Olympiques-Charlotte Checkers-
64 - 2020-12-30461Charlotte Checkers-Albany Devils-
66 - 2021-01-01478Charlotte Checkers-Wilkes-Barre/Scranton Penguins-
67 - 2021-01-02487Adirondack Phantoms-Charlotte Checkers-
70 - 2021-01-05508Charlotte Checkers-Chicago Wolves-
71 - 2021-01-06519Manitoba Moose-Charlotte Checkers-
74 - 2021-01-09539Charlotte Checkers-Rouyn-Noranda Huskies-
76 - 2021-01-11552Trois-Rivières Draveurs-Charlotte Checkers-
79 - 2021-01-14576Binghamton Senators-Charlotte Checkers-
81 - 2021-01-16593Charlotte Checkers-Providence Bruins-
84 - 2021-01-19609Charlotte Checkers-Lake Erie Monsters-
86 - 2021-01-21620Albany Devils-Charlotte Checkers-
88 - 2021-01-23641Charlotte Checkers-San Antonio Rampage-
89 - 2021-01-24645Charlotte Checkers-CCCP Red Army-
91 - 2021-01-26659Lake Erie Monsters-Charlotte Checkers-
94 - 2021-01-29683Las Vegas Gamblers-Charlotte Checkers-
96 - 2021-01-31702Charlotte Checkers-Trois-Rivières Draveurs-
98 - 2021-02-02714Charlotte Checkers-Albany Devils-
99 - 2021-02-03722Peoria Rivermen-Charlotte Checkers-
102 - 2021-02-06747Joliette Sportif-Charlotte Checkers-
104 - 2021-02-08763Charlotte Checkers-Binghamton Senators-
106 - 2021-02-10776Charlotte Checkers-Milwaukee Admirals-
108 - 2021-02-12790Joliette Sportif-Charlotte Checkers-
109 - 2021-02-13803Charlotte Checkers-Adirondack Phantoms-
112 - 2021-02-16817Charlotte Checkers-Chicoutimi Saguenéens-
113 - 2021-02-17825San Antonio Rampage-Charlotte Checkers-
116 - 2021-02-20851Norfolk Admirals-Charlotte Checkers-
120 - 2021-02-24875Charlotte Checkers-Laval Chiefs-
121 - 2021-02-25884San Antonio Rampage-Charlotte Checkers-
124 - 2021-02-28905Charlotte Checkers-Rochester Americans-
125 - 2021-03-01917Chicago Wolves-Charlotte Checkers-
128 - 2021-03-04942Rockford IceHogs-Charlotte Checkers-
129 - 2021-03-05947Charlotte Checkers-Houston Aeros-
133 - 2021-03-09980CCCP Red Army-Charlotte Checkers-
135 - 2021-03-11990Charlotte Checkers-Oklahoma City Barons-
138 - 2021-03-141013Connecticut Whale-Charlotte Checkers-
139 - 2021-03-151020Charlotte Checkers-Bridgeport Sound Tigers-
143 - 2021-03-191043Chicoutimi Saguenéens-Charlotte Checkers-
145 - 2021-03-211057Charlotte Checkers-Grand Rapids Griffins-
147 - 2021-03-231078Roberval Dwarfs-Charlotte Checkers-
150 - 2021-03-261092Charlotte Checkers-Springfield Falcons-
153 - 2021-03-291112Connecticut Whale-Charlotte Checkers-
154 - 2021-03-301127Charlotte Checkers-Henderson Silver Knights-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
157 - 2021-04-021145Roberval Dwarfs-Charlotte Checkers-
162 - 2021-04-071176Chicoutimi Saguenéens-Charlotte Checkers-
165 - 2021-04-101196Charlotte Checkers-Peoria Rivermen-
166 - 2021-04-111206Laval Chiefs-Charlotte Checkers-
167 - 2021-04-121210Charlotte Checkers-Norfolk Admirals-
171 - 2021-04-161238Wilkes-Barre/Scranton Penguins-Charlotte Checkers-
176 - 2021-04-211266Charlotte Checkers-Connecticut Whale-
178 - 2021-04-231277Laval Chiefs-Charlotte Checkers-
183 - 2021-04-281297Rochester Americans-Charlotte Checkers-
186 - 2021-05-011314Charlotte Checkers-Wilkes-Barre/Scranton Penguins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets5035
Assistance22,00010,982
Assistance PCT100.00%99.84%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
29 2998 - 99.95% 121,306$1,334,370$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
956,432$ 2,733,000$ 2,733,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
14,537$ 715,566$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,517,885$ 138 19,324$ 2,666,712$




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