Connexion

Charlotte Checkers
GP: 72 | W: 34 | L: 33 | OTL: 5 | P: 73
GF: 147 | GA: 171 | PP%: 30.00% | PK%: 68.38%
DG: Emil Molin | Morale : 47 | Moyenne d’équipe : 59
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Centre de jeu
Charlotte Checkers
34-33-5, 73pts
1
FINAL
3 Tucson Roadrunners
33-29-10, 76pts
Team Stats
W1SéquenceL1
18-17-1Fiche domicile16-15-5
16-16-4Fiche domicile17-14-5
6-3-1Derniers 10 matchs5-4-1
2.04Buts par match 2.68
2.38Buts contre par match 2.82
30.00%Pourcentage en avantage numérique25.15%
68.38%Pourcentage en désavantage numérique66.67%
Hershey Bears
44-22-6, 94pts
1
FINAL
2 Charlotte Checkers
34-33-5, 73pts
Team Stats
L1SéquenceW1
22-11-3Fiche domicile18-17-1
22-11-3Fiche domicile16-16-4
2-6-2Derniers 10 matchs6-3-1
2.96Buts par match 2.04
2.43Buts contre par match 2.38
31.93%Pourcentage en avantage numérique30.00%
74.40%Pourcentage en désavantage numérique68.38%
Meneurs d'équipe
Rocco GrimaldiButs
Rocco Grimaldi
22
Passes
Wyatt Johnston
37
Points
Wyatt Johnston
56
Rourke ChartierPlus/Moins
Rourke Chartier
2
Victoires
Mitchell Weeks
30
Pourcentage d’arrêts
Jake Kupsky
0.957

Statistiques d’équipe
Buts pour
147
2.04 GFG
Tirs pour
1689
23.46 Avg
Pourcentage en avantage numérique
30.0%
45 GF
Début de zone offensive
35.7%
Buts contre
171
2.38 GAA
Tirs contre
2076
28.83 Avg
Pourcentage en désavantage numérique
68.4%%
43 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralEmil Molin
EntraîneurPaul Maurice
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,498
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 60
Espoirs20


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
1Wyatt Johnston (R)0X100.006241928569729271557081672558587183680203894,167$
2Rocco Grimaldi0XX100.006861828061777971506571646665656578660301750,000$
3Derek Stepan0X100.006342977770548361785959666185865979630331750,000$
4Alex Galchenyuk0XXX100.007443907475487359555057616279815680610291750,000$
5Kevin Rooney0XX100.0080858476775381526454535925676858776003021,200,000$
6Aleksi Heponiemi0XX100.006655937558798462786357575549496081600241750,000$
7Grigori Denisenko (R)0XX100.007543948167556958256355592549495871590231925,000$
8Kieffer Bellows0X100.0081449475725461573248585925595959615902511,200,000$
9Jesper Froden0X100.007142886863567463257455652548486073590291750,000$
10Rourke Chartier0X100.007973996473585857754864656346466257590271750,000$
11Eduards Tralmaks0XXX100.008178885978454452654654655144445724560261750,000$
12Marcus Bjork (R)0X100.008044666776758176255851732550505971650261925,000$
13Noah Juulsen0X100.009947856973667762253949792551515777640261750,000$
14Madison Bowey0X100.007775797775606351254146654160605374600281750,000$
15Xavier Ouellet0X100.007371797471616356255140643964655267600302762,500$
16Nicolas Meloche0X100.007679716879737950254240613953535273590261950,000$
17Nick DeSimone0X100.007572856372798555255242614147475453590292762,500$
18Andy Welinski0X100.007874926874606351254440653959595355590301750,000$
Rayé
1Noah Philp (R)0X100.007676756676595959745360645744446219580251842,500$
2Cole Schwindt (R)0X100.007469876169828958735358635544446219580222855,833$
3Joakim Kemell (R)0X100.007266856666535066506267646444446620580194950,000$
4Henry Bowlby0X100.007472806272768255694858625544446120570261750,000$
5Mason Jobst0XX100.007164886764595962785960625744446220570291750,000$
6Logan Hutsko (R)0XX100.006961896361717461766058615544446220570241867,500$
7Shane Gersich0XX100.007366906366606157715356625344446020560271750,000$
8Justin Sourdif (R)0X100.006863816563656758735854605144445920560213847,500$
9John Ludvig (R)0X100.007174646574505150254441593944445119540231853,333$
10Max Gildon0X100.007171727071545649254340593844445220540241853,333$
11Zach Uens (R)0X100.007068746468515347253741583944445020520223859,167$
MOYENNE D’ÉQUIPE100.00746384697062695849535463455252585059
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
1Mitchell Weeks (R)0100.00586075765860556357553047475482590221750,000$
2Jake Kupsky0100.00565552685557595855545544445281550281750,000$
Rayé
MOYENNE D’ÉQUIPE100.0057586472575957615655434646538257
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice60508050996050CAN571500,000$


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
1Wyatt JohnstonCharlotte Checkers (FLA)C72193756-7393593114254951757.48%36162222.5451520141020223974247.71%8517537200.6925403535
2Rocco GrimaldiCharlotte Checkers (FLA)C/RW72222345-1531259086159548913.84%22119916.66111223221062026945148.68%3784122000.7547122433
3Anton LundellFlorida PanthersC/LW54162036-1139255480121379413.22%24105119.485498300001275059.90%6213818100.6812212342
4Derek StepanCharlotte Checkers (FLA)C721518330222073115155371189.68%25138319.21000050225691357.13%8002623000.4800112232
5Aleksi HeponiemiCharlotte Checkers (FLA)LW/RW7282331-106460738916763984.79%20132818.44055499000011057.89%765333000.4700426202
6Jesper FrodenCharlotte Checkers (FLA)RW72121830-1233158780116386910.34%18123117.104121619106000001120.90%673428000.4915111121
7Grigori DenisenkoCharlotte Checkers (FLA)LW/RW71121628-310105959103386311.65%24103214.54581315971012242128.49%1863518000.5400011133
8Alex GalchenyukCharlotte Checkers (FLA)C/LW/RW72161228-6100101104125367312.80%20138219.204610121081017885138.55%832520100.4111000233
9Marcus BjorkCharlotte Checkers (FLA)D7231518-1672301161179332313.23%69170623.701454119011296100%02552000.2100222020
10Noah JuulsenCharlotte Checkers (FLA)D7241317-57535881197934295.06%95167423.2543712120011110201100.00%1853000.2000115103
11Kevin RooneyCharlotte Checkers (FLA)C/LW703710-1018911570704418256.82%24109315.6200009000052056.34%711423000.1800869101
12Xavier OuelletCharlotte Checkers (FLA)D7201010-20996576804627250%66158322.000332100000087000%11248000.1300238000
13Kieffer BellowsCharlotte Checkers (FLA)LW70459-1413563757527495.33%2292713.2500001000000119.05%212012000.1900010001
14Madison BoweyCharlotte Checkers (FLA)D70538-111326078896124238.20%76149921.42516690000077110%01142000.1100444011
15Nick DeSimoneCharlotte Checkers (FLA)D66055-129253259259120%3296814.670000100009000%0615000.1000023001
16Noah PhilpCharlotte Checkers (FLA)C8134-12715101212458.33%011914.9400000000001056.45%6221000.6700111000
17Nicolas MelocheCharlotte Checkers (FLA)D70044-19735426421860%32108115.4500007000032000%0126000.0700214000
18Joakim KemellCharlotte Checkers (FLA)RW61121556482712.50%06911.5800000000000060.00%520000.5800010000
19John LudvigCharlotte Checkers (FLA)D2011020220000%43316.580000000000000%003000.6000000000
20Rourke ChartierCharlotte Checkers (FLA)C6801121515141813590%72373.4900000000000051.24%12133000.0800111001
21Cole SchwindtCharlotte Checkers (FLA)RW6101-310104482412.50%39115.3210115000000040.91%4424000.2200002000
22Zach UensCharlotte Checkers (FLA)D2011-1175030000%52713.670000000000000%002000.7300001000
23Henry BowlbyCharlotte Checkers (FLA)C2000000000000%010.530000000000000%00000000000000
24Eduards TralmaksCharlotte Checkers (FLA)C/LW/RW11000000000000%0111.080000100000000%10000000000000
25Max GildonCharlotte Checkers (FLA)D6000-375274430%310317.240000900003000%01400000010000
26Andy WelinskiCharlotte Checkers (FLA)D66000000100000%0500.770000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1296142236378-147103761512341450168959410078.41%6272151216.6045731181191124461027822291250.90%3389434487400.35920343257222429
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
1Mitchell WeeksCharlotte Checkers (FLA)66303240.9172.3838890815418451126220.762216661451
2Jake KupskyCharlotte Checkers (FLA)40000.9571.7110500369410000066000
Statistiques d’équipe totales ou en moyenne70303240.9182.3639940815719141167222166721451


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 Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Aleksi HeponiemiCharlotte Checkers (FLA)LW/RW241999-12-31No150 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Alex GalchenyukCharlotte Checkers (FLA)C/LW/RW291994-12-31No207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Andy WelinskiCharlotte Checkers (FLA)D301993-12-31No201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Cole SchwindtCharlotte Checkers (FLA)RW222001-12-31Yes182 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm855,833$0$0$No855,833$--------No--------Lien / Lien NHL
Derek StepanCharlotte Checkers (FLA)C331990-12-31No196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Eduards TralmaksCharlotte Checkers (FLA)C/LW/RW261997-12-31No209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Grigori DenisenkoCharlotte Checkers (FLA)LW/RW232000-12-31Yes175 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien / Lien NHL
Henry BowlbyCharlotte Checkers (FLA)C261997-12-31No195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jake KupskyCharlotte Checkers (FLA)G281995-12-31 19:04:02No194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------
Jesper FrodenCharlotte Checkers (FLA)RW291994-12-31No176 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Joakim KemellCharlotte Checkers (FLA)RW192004-12-31Yes185 Lbs5 ft10NoNoN/ANoNo4FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------NoNoNo------
John LudvigCharlotte Checkers (FLA)D232000-12-31Yes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm853,333$0$0$No------------------
Justin SourdifCharlotte Checkers (FLA)C212002-12-31Yes173 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm847,500$0$0$No847,500$847,500$-------NoNo-------
Kevin RooneyCharlotte Checkers (FLA)C/LW301993-12-31No201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien / Lien NHL
Kieffer BellowsCharlotte Checkers (FLA)LW251998-12-31No194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No------------------Lien / Lien NHL
Logan HutskoCharlotte Checkers (FLA)C/RW241999-12-31Yes172 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm867,500$0$0$No------------------Lien / Lien NHL
Madison BoweyCharlotte Checkers (FLA)D281995-12-31No202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Marcus BjorkCharlotte Checkers (FLA)D261997-12-31Yes203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien
Mason JobstCharlotte Checkers (FLA)C/LW291994-12-31No185 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Max GildonCharlotte Checkers (FLA)D241999-12-31No187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm853,333$0$0$No------------------Lien / Lien NHL
Mitchell WeeksCharlotte Checkers (FLA)G222001-12-31Yes187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Nick DeSimoneCharlotte Checkers (FLA)D291994-12-31No190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Nicolas MelocheCharlotte Checkers (FLA)D261997-12-31No211 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------Lien / Lien NHL
Noah JuulsenCharlotte Checkers (FLA)D261997-12-31No193 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Noah PhilpCharlotte Checkers (FLA)C251998-12-31Yes200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No------------------Lien
Rocco GrimaldiCharlotte Checkers (FLA)C/RW301993-12-31No180 Lbs5 ft6NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Rourke ChartierCharlotte Checkers (FLA)C271996-12-31No203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Shane GersichCharlotte Checkers (FLA)C/LW271996-12-31No180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Wyatt JohnstonCharlotte Checkers (FLA)C202003-12-31Yes178 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm894,167$0$0$No894,167$894,167$-------NoNo-------
Xavier OuelletCharlotte Checkers (FLA)D301993-12-31No196 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Zach UensCharlotte Checkers (FLA)D222001-12-31Yes180 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm859,167$0$0$No859,167$859,167$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.90190 Lbs6 ft11.42832,204$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex GalchenyukRourke ChartierAleksi Heponiemi30113
2Kevin RooneyWyatt JohnstonJesper Froden30023
3Kieffer BellowsRocco GrimaldiDerek Stepan20113
4Grigori DenisenkoDerek StepanWyatt Johnston20212
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus BjorkXavier Ouellet39032
2Noah JuulsenMadison Bowey38032
3Nick DeSimoneNicolas Meloche23131
4Noah JuulsenMarcus Bjork0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex GalchenyukGrigori DenisenkoJesper Froden50122
2Aleksi HeponiemiWyatt JohnstonRocco Grimaldi50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus BjorkNoah Juulsen50014
2Xavier OuelletMadison Bowey50113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Derek StepanAlex Galchenyuk50122
2Wyatt JohnstonRocco Grimaldi50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenXavier Ouellet50230
2Madison BoweyMarcus Bjork50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rocco Grimaldi50122Noah JuulsenXavier Ouellet50122
2Wyatt Johnston50122Madison BoweyMarcus Bjork50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Grigori DenisenkoRocco Grimaldi50023
2Wyatt JohnstonAlex Galchenyuk50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus BjorkNoah Juulsen50032
2Madison BoweyXavier Ouellet50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Wyatt JohnstonDerek StepanRocco GrimaldiMarcus BjorkNoah Juulsen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Wyatt JohnstonRocco GrimaldiGrigori DenisenkoMarcus BjorkNoah Juulsen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Grigori Denisenko, Jesper Froden, Wyatt JohnstonWyatt Johnston, Grigori DenisenkoGrigori Denisenko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Juulsen, Marcus Bjork, Xavier OuelletNoah JuulsenNoah Juulsen, Marcus Bjork
Tirs de pénalité
Jesper Froden, Rocco Grimaldi, Wyatt Johnston, Alex Galchenyuk, Derek Stepan
Gardien
#1 : Mitchell Weeks, #2 : Jake Kupsky


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
1Abbotsford Canucks2020000026-41010000013-21010000013-200.00024600246155114542466558931582332453133.33%10100.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
2Bakersfield Condors21000010752110000004311000001032141.000791600246155114642466558931612718425360.00%4175.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
3Belleville Senators20200000311-81010000006-61010000035-200.00034700246155115242466558931732665283266.67%5180.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
4Bridgeport Islanders41201000770211000002202010100055040.5007916012461551111542466558931981869869111.11%7357.14%1595120149.54%662128051.72%46887953.24%137665114277171557800
5Calgary Wranglers2020000037-41010000024-21010000013-200.00034700246155114442466558931652316355240.00%3233.33%0595120149.54%662128051.72%46887953.24%137665114277171557800
6Chicago Wolves22000000514110000002021100000031241.000571201246155114942466558931301214262150.00%20100.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
7Cleveland Monsters2020000036-31010000012-11010000024-200.00034700246155114142466558931571919393133.33%7357.14%0595120149.54%662128051.72%46887953.24%137665114277171557800
8Coachella Valley Firebirds21100000651110000005321010000012-120.5006111700246155115642466558931502083327228.57%4250.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
9Colorado Eagles2010001046-21010000025-31000001021120.500461000246155113942466558931432211353133.33%3233.33%0595120149.54%662128051.72%46887953.24%137665114277171557800
10Grand Rapids Griffins22000000633110000002021100000043141.000611170124615511404246655893134714294375.00%2150.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
11Hartford Wolf Pack31101000550100010003212110000023-140.66759140124615511584246655893162188565240.00%4325.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
12Henderson Silver Knights22000000844110000004221100000042241.0008122000246155116542466558931681816476350.00%3166.67%1595120149.54%662128051.72%46887953.24%137665114277171557800
13Hershey Bears41200001710-3110000002113020000159-430.37571219002461551193424665589311224673747228.57%14378.57%0595120149.54%662128051.72%46887953.24%137665114277171557800
14Iowa Wild2000020046-21000010034-11000010012-120.500461000246155114942466558931642326284125.00%3166.67%0595120149.54%662128051.72%46887953.24%137665114277171557800
15Laval Rocket2020000016-51010000014-31010000002-200.0001230024615511404246655893153203430300.00%20100.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
16Lehigh Valley Phantoms3120000068-22020000026-41100000042220.33361016002461551175424665589311063249553133.33%7271.43%0595120149.54%662128051.72%46887953.24%137665114277171557800
17Manitoba Moose2010000157-21010000045-11000000112-110.250581300246155113942466558931852263397228.57%9277.78%0595120149.54%662128051.72%46887953.24%137665114277171557800
18Milwaukee Admirals2020000026-41010000013-21010000013-200.0002460024615511554246655893160152438600.00%220.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
19Ontario Reign20000110770100000104311000010034-130.7507101700246155114142466558931922120264125.00%5340.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
20Providence Bruins3120000078-1211000005501010000023-120.33371118102461551180424665589319726373410440.00%6183.33%0595120149.54%662128051.72%46887953.24%137665114277171557800
21Rochester Americans2010001034-11010000013-21000001021120.50032500246155113742466558931812228253133.33%4175.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
22Rockford IceHogs2110000047-3110000003121010000016-520.500481200246155115042466558931591927243133.33%60100.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
23San Diego Gulls22000000422110000002111100000021141.00046100024615511494246655893162211636300.00%30100.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
24San Jose Barracuda2020000027-51010000013-21010000014-300.0002460024615511444246655893163856286116.67%330.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
25Springfield Thunderbirds3120000056-12020000036-31100000020220.3335101501246155115842466558931782583506116.67%9277.78%0595120149.54%662128051.72%46887953.24%137665114277171557800
26Syracuse Crunch22000000413110000002021100000021141.00048120124615511404246655893144131238600.00%10100.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
27Texas Stars22000000853110000006511100000020241.0008142201246155115342466558931341031325480.00%3233.33%0595120149.54%662128051.72%46887953.24%137665114277171557800
28Toronto Marlies2020000016-51010000014-31010000002-200.0001230024615511374246655893182211829100.00%4250.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
29Tucson Roadrunners21100000660110000005321010000013-220.5006111710246155115442466558931711511296233.33%30100.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
30Utica Comets32000010615210000105141100000010161.000691502246155117542466558931551329528112.50%20100.00%0595120149.54%662128051.72%46887953.24%137665114277171557800
31Wilkes-Barre Scranton Penguins33000000624110000001012200000052361.000691501246155117042466558931692235674125.00%50100.00%2595120149.54%662128051.72%46887953.24%137665114277171557800
Total72273302352147171-24361517011208090-10361216012326781-14730.507147236383210246155111689424665589312076627103712341504530.00%1364368.38%4595120149.54%662128051.72%46887953.24%137665114277171557800
_Since Last GM Reset72273302352147171-24361517011208090-10361216012326781-14730.507147236383210246155111689424665589312076627103712341504530.00%1364368.38%4595120149.54%662128051.72%46887953.24%137665114277171557800
_Vs Conference401322020216687-2120612010103045-1520710010113642-6350.438661051711724615511916424665589311135344591708741824.32%782173.08%3595120149.54%662128051.72%46887953.24%137665114277171557800
_Vs Division15911020012539-14846010001222-10755010011317-4230.767254065122461551132642466558931464135208213301033.33%24675.00%0595120149.54%662128051.72%46887953.24%137665114277171557800

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7273W11472363831689207662710371234210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7227332352147171
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36151711208090
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36121612326781
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1504530.00%1364368.38%4
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
4246655893124615511
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
595120149.54%662128051.72%46887953.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
137665114277171557800


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
19Iowa Wild4Charlotte Checkers3LXSommaire du match
216Charlotte Checkers2Hershey Bears3LSommaire du match
540Bridgeport Islanders0Charlotte Checkers1WSommaire du match
860Charlotte Checkers3Bridgeport Islanders2WXSommaire du match
972Charlotte Checkers3Wilkes-Barre Scranton Penguins1WSommaire du match
1187Utica Comets0Charlotte Checkers3WSommaire du match
13104Charlotte Checkers1Hartford Wolf Pack0WSommaire du match
15115Springfield Thunderbirds2Charlotte Checkers1LSommaire du match
18136Providence Bruins4Charlotte Checkers2LSommaire du match
19142Charlotte Checkers1Hershey Bears3LSommaire du match
22171Lehigh Valley Phantoms3Charlotte Checkers1LSommaire du match
24184Charlotte Checkers3Bakersfield Condors2WXXSommaire du match
25194Charlotte Checkers2Hershey Bears3LXXSommaire du match
28213Charlotte Checkers1Calgary Wranglers3LSommaire du match
29224Chicago Wolves0Charlotte Checkers2WSommaire du match
31243Belleville Senators6Charlotte Checkers0LSommaire du match
33258Charlotte Checkers1Utica Comets0WSommaire du match
35273Tucson Roadrunners3Charlotte Checkers5WSommaire du match
38294Charlotte Checkers1Coachella Valley Firebirds2LSommaire du match
39307Charlotte Checkers1Rockford IceHogs6LSommaire du match
41318Wilkes-Barre Scranton Penguins0Charlotte Checkers1WSommaire du match
43338Charlotte Checkers2Providence Bruins3LSommaire du match
45350Charlotte Checkers2Springfield Thunderbirds0WSommaire du match
46358Bridgeport Islanders2Charlotte Checkers1LSommaire du match
48382Grand Rapids Griffins0Charlotte Checkers2WSommaire du match
50397Charlotte Checkers2Colorado Eagles1WXXSommaire du match
51409Bakersfield Condors3Charlotte Checkers4WSommaire du match
54430Charlotte Checkers0Toronto Marlies2LSommaire du match
56441Charlotte Checkers1Hartford Wolf Pack3LSommaire du match
57450Providence Bruins1Charlotte Checkers3WSommaire du match
60473Syracuse Crunch0Charlotte Checkers2WSommaire du match
62488Charlotte Checkers2Rochester Americans1WXXSommaire du match
64506Charlotte Checkers2Cleveland Monsters4LSommaire du match
65512Utica Comets1Charlotte Checkers2WXXSommaire du match
68534Charlotte Checkers0Laval Rocket2LSommaire du match
69543Rockford IceHogs1Charlotte Checkers3WSommaire du match
72569San Jose Barracuda3Charlotte Checkers1LSommaire du match
73578Charlotte Checkers2Syracuse Crunch1WSommaire du match
76597Charlotte Checkers3Belleville Senators5LSommaire du match
77607Rochester Americans3Charlotte Checkers1LSommaire du match
80634Abbotsford Canucks3Charlotte Checkers1LSommaire du match
82646Charlotte Checkers3Chicago Wolves1WSommaire du match
83665Charlotte Checkers1Milwaukee Admirals3LSommaire du match
84672Toronto Marlies4Charlotte Checkers1LSommaire du match
87699Laval Rocket4Charlotte Checkers1LSommaire du match
90718Charlotte Checkers1San Jose Barracuda4LSommaire du match
91730Calgary Wranglers4Charlotte Checkers2LSommaire du match
93750Charlotte Checkers2Wilkes-Barre Scranton Penguins1WSommaire du match
95762Springfield Thunderbirds4Charlotte Checkers2LSommaire du match
97782Charlotte Checkers2San Diego Gulls1WSommaire du match
98794Charlotte Checkers1Abbotsford Canucks3LSommaire du match
99800Lehigh Valley Phantoms3Charlotte Checkers1LSommaire du match
102826Texas Stars5Charlotte Checkers6WSommaire du match
104842Charlotte Checkers3Ontario Reign4LXSommaire du match
106856Cleveland Monsters2Charlotte Checkers1LSommaire du match
109882San Diego Gulls1Charlotte Checkers2WSommaire du match
112906Charlotte Checkers4Grand Rapids Griffins3WSommaire du match
113916Hartford Wolf Pack2Charlotte Checkers3WXSommaire du match
116938Milwaukee Admirals3Charlotte Checkers1LSommaire du match
118953Charlotte Checkers2Texas Stars0WSommaire du match
120971Manitoba Moose5Charlotte Checkers4LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122986Charlotte Checkers1Iowa Wild2LXSommaire du match
1241001Ontario Reign3Charlotte Checkers4WXXSommaire du match
1251015Charlotte Checkers1Manitoba Moose2LXXSommaire du match
1271033Henderson Silver Knights2Charlotte Checkers4WSommaire du match
1281037Charlotte Checkers2Bridgeport Islanders3LSommaire du match
1311065Coachella Valley Firebirds3Charlotte Checkers5WSommaire du match
1321069Charlotte Checkers4Henderson Silver Knights2WSommaire du match
1341088Charlotte Checkers4Lehigh Valley Phantoms2WSommaire du match
1361108Colorado Eagles5Charlotte Checkers2LSommaire du match
1401131Charlotte Checkers1Tucson Roadrunners3LSommaire du match
1421145Hershey Bears1Charlotte Checkers2WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance55,49834,436
Assistance PCT77.08%95.66%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2498 - 83.27% 96,212$3,463,620$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,153,476$ 2,579,833$ 2,579,833$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,653,516$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 21,240$ 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