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Connexion

Charlotte
GP: 19 | W: 13 | L: 6
GF: 76 | GA: 48 | PP%: 27.63% | PK%: 84.00%
DG: Tommy Morel | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Charlotte
13-6-0, 26pts
1
4 Ontario
16-7-0, 32pts
Team Stats
L4SéquenceW4
7-4-0Fiche domicile5-6-0
6-2-0Fiche domicile11-1-0
5-4-1Derniers 10 matchs8-2-0
4.00Buts par match 3.00
2.53Buts contre par match 2.26
27.63%Pourcentage en avantage numérique19.69%
84.00%Pourcentage en désavantage numérique86.08%
Ontario
16-7-0, 32pts
4
3 Charlotte
13-6-0, 26pts
Team Stats
W4SéquenceL4
5-6-0Fiche domicile7-4-0
11-1-0Fiche domicile6-2-0
8-2-0Derniers 10 matchs5-4-1
3.00Buts par match 4.00
2.26Buts contre par match 2.53
19.69%Pourcentage en avantage numérique27.63%
86.08%Pourcentage en désavantage numérique84.00%
Meneurs d'équipe
Reilly SmithButs
Reilly Smith
10
Yanni GourdePasses
Yanni Gourde
22
Yanni GourdePoints
Yanni Gourde
29
Reilly SmithPlus/Moins
Reilly Smith
18
Victoires
Mike Condon
13
Pourcentage d’arrêts
Mike Condon
0.932

Statistiques d’équipe
Buts pour
76
4.00 GFG
Tirs pour
745
39.21 Avg
Pourcentage en avantage numérique
27.6%
21 GF
Début de zone offensive
41.8%
Buts contre
48
2.53 GAA
Tirs contre
710
37.37 Avg
Pourcentage en désavantage numérique
84.0%%
12 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralTommy Morel
EntraîneurPeter Laviolette
DivisionNord
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,885
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite Contrat42 / 50
Espoirs65


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
1Brandon PirriXXX100.006631916671778672817266568469593250003311,500,000$
2Yanni GourdeXXX100.008550848375828473867671697778783650003221,350,000$
3Victor RaskXX100.00692898778690996876656959806262515000311500,000$
4Reilly SmithXX100.007031927369819572637173648563553550003311,750,000$
5Radim ZohornaXXX100.00703092699171996470616969776157475000282875,000$
6Kyle TurrisXXX100.006729946566758775627371638079672150003411,720,000$
7Sean KuralyXX100.00692298699275936593646774786865285000312850,000$
8Ryan SpoonerXX100.007339967879829376747077598773764650003221,350,000$
9Jordan StaalX100.00753085547871856866667370739985185000351500,000$
10Jason ZuckerXX100.008035827681829077707978637578783850003221,800,000$
11Michael AmadioXXX100.00653595808885897288717361805351465000282500,000$
12Jake Neighbours (R)XX100.00915585758579977470767864993939825000223800,000$
13Andy GreeneX100.00572994356667995350494896709999550004111,400,000$
14Mike ReillyX100.00773075728384814950464686746059385000302725,000$
15Niklaus PerbixX100.00762794728485995772604995775354695000262950,000$
16Artem ZubX100.00823269728687865271515495785756555000281950,000$
17Nikolai KnyzhovX100.00692795729083994370444391765450555000264800,000$
18Philip Broberg (R)X100.00733096878684936450606092704343805000232900,000$
Rayé
1Taylor BeckXX100.00683296628772946974667069725760315000331500,000$
2Kevin RooneyX100.00704092677872896673627167776458275000311500,000$
MOYENNE D’ÉQUIPE100.0073339070817992657064657378656342500
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
1Alex Stalock100.0063847777728487888877759392255000361500,000$
2Mike Condon100.00658381787789908789807081813650003421,000,000$
Rayé
MOYENNE D’ÉQUIPE100.006484797875878988897973878731500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette92888585999955USA6123,500,000$


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
1Yanni GourdeCharlotte (FLO)C/LW/RW197222917195384167124810.45%136619.311891457000010052.34%51200001.5800010122
2Jason ZuckerCharlotte (FLO)LW/RW1971926176022177821488.97%437019.520661257000021138.89%3600001.4000000401
3Artem ZubCharlotte (FLO)D193192212340341828153510.71%3443322.811561357011249000%000001.0200000000
4Ryan SpoonerCharlotte (FLO)C/LW1971219-3205337134429.86%040021.074591664000002150.48%62600000.9500000110
5Philip BrobergCharlotte (FLO)D19810185160322469193711.59%4044923.655053965000055110%000000.8000000041
6Reilly SmithCharlotte (FLO)LW/RW1910616182082071143614.08%442222.2351617570003655043.18%4400000.7600000100
7Jake NeighboursCharlotte (FLO)LW/RW197815-220060187720749.09%039921.052681764000001156.76%3700000.7500000032
8Mike ReillyCharlotte (FLO)D19561131201593061516.67%2031016.36325195700001100%000000.7100000001
9Niklaus PerbixCharlotte (FLO)D19381196017194913346.12%3246124.270222863011063000%000000.4800000100
10Radim ZohornaCharlotte (FLO)C/LW/RW19448380181239142810.26%332116.90000000001581153.33%1500000.5000000111
11Sean KuralyCharlotte (FLO)C/LW19437800915174623.53%31357.12000001014670059.45%21700001.0301000002
12Michael AmadioCharlotte (FLO)C/LW/RW19257-3135914417314.88%020210.6400011000001081.82%1100000.6900010000
13Kyle TurrisCharlotte (FLO)C/LW/RW19246-3406214516474.44%044823.6303313640001600042.76%14500000.2700000001
14Jordan StaalCharlotte (FLO)C19426-380241331132312.90%020210.6600000000000042.64%25800000.5900000001
15Andy GreeneCharlotte (FLO)D1922461001014181811.11%4037219.5900022000058000%000000.2100000000
16Brandon PirriCharlotte (FLO)C/LW/RW191237006252620.00%0613.2200000000000042.86%700000.9800000000
17Nikolai KnyzhovCharlotte (FLO)D190333805199590%3029215.4100000000029000%000000.2000000000
Statistiques d’équipe totales ou en moyenne32376135211941681031830974521652710.20%211565117.502138591916141231151313550.26%190800000.750102091112
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
1Mike CondonCharlotte (FLO)1913510.9322.491158434871001000190402
Statistiques d’équipe totales ou en moyenne1913510.9322.49115843487100100190402


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex StalockCharlotte (FLO)G361987-07-28USANo200 Lbs6 ft0NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Andy GreeneCharlotte (FLO)D411982-10-30USANo190 Lbs5 ft11NoNoFree AgentNoNo12025-09-26FalseFalsePro & Farm1,400,000$0$0$No---------------------------Lien
Artem ZubCharlotte (FLO)D281995-10-03RUSNo203 Lbs6 ft2NoNoN/ANoNo12024-09-15FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Brandon PirriCharlotte (FLO)C/LW/RW331991-04-10CANNo193 Lbs6 ft0NoNoFree AgentNoNo12025-09-23FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Jake NeighboursCharlotte (FLO)LW/RW222002-03-29CANYes201 Lbs6 ft0NoNoProspectNoNo32025-11-01FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Jason ZuckerCharlotte (FLO)LW/RW321992-01-16USANo192 Lbs5 ft11NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm1,800,000$0$0$No1,800,000$--------1,800,000$--------No--------Lien / Lien NHL
Jordan StaalCharlotte (FLO)C351988-09-10CANNo240 Lbs6 ft4NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm500,000$0$0$No---------------------------Lien NHL
Kevin RooneyCharlotte (FLO)C311993-05-21USANo191 Lbs6 ft2NoNoFree Agent2025-01-14NoNo12025-09-30FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Kyle TurrisCharlotte (FLO)C/LW/RW341989-08-14CANNo185 Lbs6 ft1NoNoFree AgentNoNo12024-09-25FalseFalsePro & Farm1,720,000$0$0$No---------------------------Lien
Michael Amadio (contrat à 1 volet)Charlotte (FLO)C/LW/RW281996-05-13CANNo207 Lbs6 ft1NoNoFree AgentYesNo22025-09-08FalseFalsePro & Farm500,000$5,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mike CondonCharlotte (FLO)G341990-04-27USANo199 Lbs6 ft2NoNoFree AgentNoNo22025-09-23FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Mike ReillyCharlotte (FLO)D301993-07-13USANo199 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm725,000$0$0$No725,000$--------725,000$--------No--------Lien / Lien NHL
Niklaus PerbixCharlotte (FLO)D261998-06-15USANo202 Lbs6 ft3NoNoProspectNoNo22025-09-08FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------
Nikolai KnyzhovCharlotte (FLO)D261998-03-20NANo222 Lbs6 ft3NoNoProspectNoNo42025-09-08FalseFalsePro & Farm800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Philip BrobergCharlotte (FLO)D232001-06-25SWEYes199 Lbs6 ft3NoNoProspectNoNo22025-10-16FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Radim ZohornaCharlotte (FLO)C/LW/RW281996-04-29CZENo220 Lbs6 ft6NoNoProspectNoNo22025-09-08FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien NHL
Reilly SmithCharlotte (FLO)LW/RW331991-04-01CANNo197 Lbs6 ft0NoNoTrade2025-03-13NoNo12024-09-28FalseFalsePro & Farm1,750,000$0$0$No---------------------------Lien / Lien NHL
Ryan SpoonerCharlotte (FLO)C/LW321992-01-30CANNo189 Lbs5 ft10NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Sean Kuraly (contrat à 1 volet)Charlotte (FLO)C/LW311993-01-20USANo214 Lbs6 ft2NoNoN/AYesNo2FalseFalsePro & Farm850,000$8,500$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Taylor BeckCharlotte (FLO)LW/RW331991-05-13CANNo210 Lbs6 ft2NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Victor RaskCharlotte (FLO)C/LW311993-03-01SWENo208 Lbs6 ft2NoNoFree AgentNoNo12025-09-26FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Yanni GourdeCharlotte (FLO)C/LW/RW321991-12-15CANNo174 Lbs5 ft9NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2230.86202 Lbs6 ft11.68987,273$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle TurrisRyan SpoonerJake Neighbours40005
2Jason ZuckerYanni GourdeReilly Smith35005
3Radim ZohornaJordan StaalMichael Amadio20005
4Brandon PirriSean KuralyRadim Zohorna5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy GreenePhilip Broberg38023
2Niklaus PerbixArtem Zub37023
3Mike ReillyNikolai Knyzhov25122
4Niklaus PerbixPhilip Broberg0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle TurrisRyan SpoonerJake Neighbours60005
2Jason ZuckerYanni GourdeReilly Smith40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niklaus PerbixPhilip Broberg60005
2Mike ReillyArtem Zub40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kyle TurrisRadim Zohorna50140
2Sean KuralyReilly Smith50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy GreenePhilip Broberg50140
2Niklaus PerbixArtem Zub50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sean Kuraly50140Andy GreenePhilip Broberg50140
2Yanni Gourde50140Niklaus PerbixArtem Zub50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Yanni GourdeJake Neighbours50005
2Ryan SpoonerJason Zucker50005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niklaus PerbixPhilip Broberg50005
2Nikolai KnyzhovArtem Zub50005
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jason ZuckerRyan SpoonerJake NeighboursNiklaus PerbixPhilip Broberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sean KuralyYanni GourdeRadim ZohornaNiklaus PerbixPhilip Broberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Kuraly, Yanni Gourde, Reilly SmithMichael Amadio, Jason ZuckerReilly Smith
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andy Greene, Nikolai Knyzhov, Niklaus PerbixAndy GreeneNikolai Knyzhov, Niklaus Perbix
Tirs de pénalité
Jason Zucker, Yanni Gourde, Jake Neighbours, Reilly Smith, Ryan Spooner
Gardien
#1 : Mike Condon, #2 : Alex Stalock
Lignes d’attaque personnalisées en prolongation
Jake Neighbours, Yanni Gourde, Ryan Spooner, Jason Zucker, Kyle Turris, Reilly Smith, Brandon Pirri, Jordan Staal, Radim Zohorna, Michael Amadio
Lignes de défense personnalisées en prolongation
Niklaus Perbix, Philip Broberg, Andy Greene, Artem Zub, Nikolai Knyzhov


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
TotalDomicile Visiteur
# 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 RI
1Hartford44000000181082200000062422000000128481.0001831490129321501432332462462015738216714428.57%80100.00%041779852.26%39678250.64%14632844.51%444298461148254124
2Laval54100000191093210000012842200000072580.8001935540129321502122332462462015654508119526.32%21290.48%141779852.26%39678250.64%14632844.51%444298461148254124
3Lehigh Valley5410000025121332100000166102200000096380.80025436801293215023723324624620206613877281035.71%18572.22%041779852.26%39678250.64%14632844.51%444298461148254124
4Ontario514000001416-23120000010822020000048-420.2001426400029321501532332462462019158639315213.33%28582.14%041779852.26%39678250.64%14632844.51%444298461148254124
Total19136000007648281174000004424208620000032248260.6847613521103293215074523324624620710211172318762127.63%751284.00%141779852.26%39678250.64%14632844.51%444298461148254124
_Since Last GM Reset19136000007648281174000004424208620000032248260.6847613521103293215074523324624620710211172318762127.63%751284.00%141779852.26%39678250.64%14632844.51%444298461148254124
_Vs Conference14122000006232308620000034161866000000281612240.8576210917103293215059223324624620519153109225611931.15%47785.11%141779852.26%39678250.64%14632844.51%444298461148254124
_Vs Division54100000191093210000012842200000072580.8001935540129321502122332462462015654508119526.32%21290.48%141779852.26%39678250.64%14632844.51%444298461148254124

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1926L47613521174571021117231803
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1913600007648
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
117400004424
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
86200003224
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
762127.63%751284.00%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
233246246202932150
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
41779852.26%39678250.64%14632844.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
444298461148254124


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
11Hartford0Charlotte2WSommaire du match
39Hartford2Charlotte4WSommaire du match
517Charlotte6Hartford5WSommaire du match
725Charlotte6Hartford3WSommaire du match
1557Laval3Charlotte6WSommaire du match
1761Laval3Charlotte2LSommaire du match
1965Charlotte5Laval2WSommaire du match
2169Charlotte2Laval0WSommaire du match
2373Laval2Charlotte4WSommaire du match
2985Lehigh Valley2Charlotte5WSommaire du match
3187Lehigh Valley4Charlotte3LXSommaire du match
3389Charlotte5Lehigh Valley4WSommaire du match
3591Charlotte4Lehigh Valley2WSommaire du match
3793Lehigh Valley0Charlotte8WSommaire du match
4399Ontario1Charlotte5WSommaire du match
44100Ontario3Charlotte2LSommaire du match
45101Charlotte3Ontario4LSommaire du match
46102Charlotte1Ontario4LSommaire du match
47103Ontario4Charlotte3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance21,27710,463
Assistance PCT96.71%95.12%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
30 2885 - 96.18% 169,086$1,859,949$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,037,000$ 2,037,000$ 3,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Charlotte 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 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 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 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 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