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Charlotte Checkers
GP: 36 | W: 14 | L: 18 | OTL: 4 | P: 32
GF: 97 | GA: 113 | PP%: 24.17% | PK%: 82.71%
DG: Steeve Proulx | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #591 vs Syracruse Crunch

Centre de jeu
Thunderbirds
22-13-3, 47pts
2
3 Charlotte Checkers
14-18-4, 32pts
Team Stats
W1SéquenceL1
12-7-1Fiche domicile10-10-1
10-6-2Fiche domicile4-8-3
8-1-1Derniers 10 matchs4-4-2
3.42Buts par match 2.69
3.03Buts contre par match 3.14
17.69%Pourcentage en avantage numérique24.17%
77.21%Pourcentage en désavantage numérique82.71%
Charlotte Checkers
14-18-4, 32pts
3
5 Chicago Wolves
14-17-5, 33pts
Team Stats
L1SéquenceW1
10-10-1Fiche domicile6-9-3
4-8-3Fiche domicile8-8-2
4-4-2Derniers 10 matchs2-8-0
2.69Buts par match 3.31
3.14Buts contre par match 3.69
24.17%Pourcentage en avantage numérique25.20%
82.71%Pourcentage en désavantage numérique77.48%
Syracruse Crunch
24-11-1, 49pts
2025-12-27
Charlotte Checkers
14-18-4, 32pts
Statistiques d’équipe
L1SéquenceL1
12-6-1Fiche domicile10-10-1
12-5-0Fiche visiteur4-8-3
7-3-010 derniers matchs4-4-2
3.64Buts par match 2.69
3.08Buts contre par match 2.69
31.69%Pourcentage en avantage numérique24.17%
78.75%Pourcentage en désavantage numérique82.71%
Bears
18-16-3, 39pts
2025-12-29
Charlotte Checkers
14-18-4, 32pts
Statistiques d’équipe
L3SéquenceL1
12-7-1Fiche domicile10-10-1
6-9-2Fiche visiteur4-8-3
4-5-110 derniers matchs4-4-2
3.30Buts par match 2.69
3.43Buts contre par match 2.69
23.48%Pourcentage en avantage numérique24.17%
73.83%Pourcentage en désavantage numérique82.71%
Laval Rocket
18-19-0, 36pts
2025-12-30
Charlotte Checkers
14-18-4, 32pts
Statistiques d’équipe
W2SéquenceL1
9-11-0Fiche domicile10-10-1
9-8-0Fiche visiteur4-8-3
6-4-010 derniers matchs4-4-2
3.16Buts par match 2.69
3.62Buts contre par match 2.69
19.35%Pourcentage en avantage numérique24.17%
67.72%Pourcentage en désavantage numérique82.71%
Meneurs d'équipe
Jacob PerreaultButs
Jacob Perreault
12
John LudvigPasses
John Ludvig
23
John LudvigPoints
John Ludvig
29
Marek AlscherPlus/Moins
Marek Alscher
4
Magnus HellbergVictoires
Magnus Hellberg
7
Magnus HellbergPourcentage d’arrêts
Magnus Hellberg
0.913

Statistiques d’équipe
Buts pour
97
2.69 GFG
Tirs pour
1124
31.22 Avg
Pourcentage en avantage numérique
24.2%
29 GF
Début de zone offensive
39.4%
Buts contre
113
3.14 GAA
Tirs contre
1194
33.17 Avg
Pourcentage en désavantage numérique
82.7%%
23 GA
Début de la zone défensive
42.6%
Informations de l'équipe

Directeur généralSteeve Proulx
EntraîneurGeordie Kinnear
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,797
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 250
Espoirs44


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
1Josiah Slavin0X100.00723983608173865961585763556772040630271925,000$
2Patrick Giles0X100.00804182579376845955565857596567040620261925,000$
3Riley Sutter0X100.00794277588869835657545559536668040610261925,000$
4Gabriel Szturc (R)0X100.00623791597169705863575655546264040600223925,000$
5Daniel Walcott0X100.00633976587274825759555654587173040600323925,000$
6Milo Roelens0X100.00844373569366675457515558546264040600233925,000$
7Sandis Vilmanis (R)0X100.00673794587675715761595655616361040600223925,000$
8Alex Swetlikoff0X100.007639925585737254575356585564660406002521,499,999$
9Tristen Nielsen0X100.00604073596982845664595857566567040600262925,000$
10Jacob Perreault0X100.00624168577170765660585559546365040590241925,000$
11Justin Gill (R)0X100.00663981577669655662555254536264040580233925,000$
12Jaxsen Wiebe0X100.007040755679676654515355525463650405802421,499,999$
13Ryan Shea0X100.007038916381807762306163695068700406502921,299,999$
14Declan Carlile0X100.00704079628380826130606363526567040640261925,000$
15John Ludvig0X100.00726271647977746330626461526567040630261925,000$
16Braden Hache (R)0X100.00775150568664655430575959476264040600233925,000$
17Marek Alscher (R)0X100.00764178568564695530545758456163040600223925,000$
18Montana Onyebuchi0X100.00756150568467815530545757456567040590261925,000$
Rayé
1Owen Lindmark (R)0X100.00643795547360615358525055516466040570253925,000$
2Josh Davies (R)0X100.00594363536965625255515054506163040550223925,000$
3Cole Krygier0X100.00734174578261605530565458456567040590262925,000$
MOYENNE D’ÉQUIPE100.0070427758807173564956565853646604060
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
1Magnus Hellberg0100.0076847896757476757476757488040670353925,000$
2Drew Commesso0100.00778682777675777675777663690406702433,333,333$
Rayé
1Magnus Chrona0100.0075848094747375747375746573040660263925,000$
2Waltteri Ignatjew0100.00717672837069717069717066750406402631,499,999$
3Victor Ostman0100.00697268876867696867696865730406302531,499,999$
4Jordan Papirny0100.0059736871585759585759586983040570302925,000$
MOYENNE D’ÉQUIPE100.007179758570697170697170677704064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Geordie Kinnear65727071797474CAN512300,000$


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
1John LudvigCharlotte Checkers (FLO)D3662329-1648067519329616.45%4580522.38410145196000190000%000000.7200000003
2Declan CarlileCharlotte Checkers (FLO)D3681927-1928076458925698.99%5289624.9149134310102211171033.33%300100.6000000102
3Jacob PerreaultCharlotte Checkers (FLO)RW36121325-10180624997265412.37%563117.530662793000002145.45%4400000.7900000311
4Riley SutterCharlotte Checkers (FLO)C3691423-5120701099518439.47%1481022.51099169511241270047.34%118300100.5724000120
5Josiah SlavinCharlotte Checkers (FLO)LW3491322-140425712224897.38%970420.7243728922135751246.15%7800000.6201000220
6Ryan SheaCharlotte Checkers (FLO)D34616220100357054184311.11%4371220.961342046000176110%500000.6200000012
7Gabriel SzturcCharlotte Checkers (FLO)C3561319-1140271068518627.06%1171820.5413423900003872046.38%89700000.5300000020
8Patrick GilesCharlotte Checkers (FLO)RW3681119-922084348826669.09%983223.1161717930002560134.38%6400000.4604000004
9Tristen NielsenCharlotte Checkers (FLO)C368715-440147868234411.76%439310.9400001000023052.05%43800000.7603000200
10Marek AlscherCharlotte Checkers (FLO)D3621113412047353318316.06%3565618.24156949000073110%100000.4000000010
11Montana OnyebuchiCharlotte Checkers (FLO)D3628100420106244614334.35%4159316.4912315460000470150.00%200000.3400000000
12Jaxsen WiebeCharlotte Checkers (FLO)RW362810-518049285214483.85%651214.2200013000000040.00%3000000.3900000000
13Alex SwetlikoffCharlotte Checkers (FLO)LW36459-914052245824356.90%549813.8630315570001361046.51%4300000.3601000001
14Josh DaviesCharlotte Checkers (FLO)LW19437-14022132773414.81%528915.2300001000030070.83%2400000.4801000010
15Daniel WalcottCharlotte Checkers (FLO)LW23156-46029252414274.17%534314.941017380000400052.38%2100000.3500000010
16Sandis VilmanisCharlotte Checkers (FLO)LW18336-440416327229.38%227915.51112160001220150.00%2000000.4300000001
17Braden HacheCharlotte Checkers (FLO)D18325-222057211742017.65%2137220.67213742000148000%000000.2700000001
18Milo RoelensCharlotte Checkers (FLO)C18314-21202326367218.33%223813.2400000000001050.00%25800000.3400000010
19Cole KrygierCharlotte Checkers (FLO)D9011-340728280%912814.330002100003000%000000.1600000000
20Justin GillCharlotte Checkers (FLO)C9000000010000%050.6300000000030057.14%70000000000000
Statistiques d’équipe totales ou en moyenne57796176272-101288087381411243188108.54%3231042518.072953822829583472091413847.69%311800200.5221400091215
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
1Magnus HellbergCharlotte Checkers (FLO)2071020.9133.03104921536070110.33331717310
2Drew CommessoCharlotte Checkers (FLO)197620.9072.91101102495250000.800101717112
3Magnus ChronaCharlotte Checkers (FLO)20200.8853.53119007610000020000
Statistiques d’équipe totales ou en moyenne41141840.9093.002180231091193011133634422


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex SwetlikoffCharlotte Checkers (FLO)LW252001-07-06CANNo206 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-22FalseFalsePro & Farm1,499,999$0$0$No1,499,999$--------1,499,999$--------No--------Lien / Lien NHL
Braden HacheCharlotte Checkers (FLO)D232003-05-21CANYes200 Lbs6 ft4NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Cole KrygierCharlotte Checkers (FLO)D262000-05-05USANo192 Lbs6 ft3NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Daniel WalcottCharlotte Checkers (FLO)LW321994-02-19CANNo175 Lbs6 ft1NoNoFree AgentYesYes32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Declan CarlileCharlotte Checkers (FLO)D262000-05-18USANo192 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Drew CommessoCharlotte Checkers (FLO)G242002-07-19USANo180 Lbs6 ft2NoNoFree AgentYesYes32025-07-13FalseFalsePro & Farm3,333,333$0$0$No3,333,333$3,333,333$-------3,333,333$3,333,333$-------NoNo-------Lien / Lien NHL
Gabriel SzturcCharlotte Checkers (FLO)C222003-09-24CZEYes194 Lbs5 ft11NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jacob PerreaultCharlotte Checkers (FLO)RW242002-04-15USANo192 Lbs5 ft11NoNoTrade2024-12-19NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jaxsen WiebeCharlotte Checkers (FLO)RW242002-05-16CANNo209 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-22FalseFalsePro & Farm1,499,999$0$0$No1,499,999$--------1,499,999$--------No--------Lien / Lien NHL
John LudvigCharlotte Checkers (FLO)D262000-08-02CANNo210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jordan PapirnyCharlotte Checkers (FLO)G301996-04-10CANNo169 Lbs6 ft1NoNoAssign ManuallyYesYes22024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Josh DaviesCharlotte Checkers (FLO)LW222004-03-24CANYes197 Lbs5 ft9NoNoAssign ManuallyNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Josiah SlavinCharlotte Checkers (FLO)LW271998-12-31USANo189 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Justin GillCharlotte Checkers (FLO)C232003-01-27CANYes195 Lbs6 ft1NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Magnus ChronaCharlotte Checkers (FLO)G262000-08-28SWENo194 Lbs6 ft4NoNoTrade2025-07-24NoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Magnus HellbergCharlotte Checkers (FLO)G351991-04-04SWENo220 Lbs6 ft6NoNoFree AgentYesYes32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Marek AlscherCharlotte Checkers (FLO)D222004-04-07CZEYes206 Lbs6 ft3NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Milo RoelensCharlotte Checkers (FLO)C232003-01-16CANNo205 Lbs6 ft6NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Montana OnyebuchiCharlotte Checkers (FLO)D262000-03-08CANNo201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Owen LindmarkCharlotte Checkers (FLO)C252001-05-17USAYes192 Lbs6 ft0NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Patrick GilesCharlotte Checkers (FLO)RW262000-01-03USANo218 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Riley SutterCharlotte Checkers (FLO)C261999-10-25CANNo210 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Ryan SheaCharlotte Checkers (FLO)D291997-02-11USANo220 Lbs6 ft1NoNoAssign ManuallyYesYes22024-07-17FalseFalsePro & Farm1,299,999$0$0$No1,299,999$--------1,299,999$--------No--------Lien / Lien NHL
Sandis VilmanisCharlotte Checkers (FLO)LW222004-01-23LVAYes192 Lbs6 ft1NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Tristen NielsenCharlotte Checkers (FLO)C262000-02-23CANNo192 Lbs5 ft10NoNoN/ANoNo22024-06-06FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Victor OstmanCharlotte Checkers (FLO)G252000-10-03SWENo205 Lbs6 ft4NoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Waltteri IgnatjewCharlotte Checkers (FLO)G261999-12-03FINNo200 Lbs6 ft3NoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.59198 Lbs6 ft22.261,113,271$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josiah SlavinRiley SutterPatrick Giles40122
2Daniel WalcottGabriel SzturcJacob Perreault30122
3Sandis VilmanisMilo RoelensJaxsen Wiebe20122
4Alex SwetlikoffTristen NielsenPatrick Giles10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SheaDeclan Carlile40122
2John LudvigBraden Hache30122
3Marek AlscherMontana Onyebuchi20122
4Ryan SheaDeclan Carlile10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josiah SlavinRiley SutterPatrick Giles60122
2Daniel WalcottGabriel SzturcJacob Perreault40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SheaDeclan Carlile60122
2John LudvigBraden Hache40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley SutterJosiah Slavin60122
2Gabriel SzturcDaniel Walcott40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SheaDeclan Carlile60122
2John LudvigBraden Hache40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Riley Sutter60122Ryan SheaDeclan Carlile60122
2Gabriel Szturc40122John LudvigBraden Hache40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Riley SutterJosiah Slavin60122
2Gabriel SzturcDaniel Walcott40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SheaDeclan Carlile60122
2John LudvigBraden Hache40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josiah SlavinRiley SutterPatrick GilesRyan SheaDeclan Carlile
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josiah SlavinRiley SutterPatrick GilesRyan SheaDeclan Carlile
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sandis Vilmanis, Alex Swetlikoff, Gabriel SzturcSandis Vilmanis, Alex SwetlikoffSandis Vilmanis
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Braden Hache, Marek Alscher, Montana OnyebuchiBraden HacheBraden Hache, Marek Alscher
Tirs de pénalité
Josiah Slavin, Patrick Giles, Riley Sutter, Daniel Walcott, Sandis Vilmanis
Gardien
#1 : Magnus Hellberg, #2 : Drew Commesso
Lignes d’attaque personnalisées en prolongation
Josiah Slavin, Patrick Giles, Riley Sutter, Daniel Walcott, Sandis Vilmanis, Alex Swetlikoff, Gabriel Szturc, Milo Roelens, Tristen Nielsen, Jacob Perreault
Lignes de défense personnalisées en prolongation
Ryan Shea, Declan Carlile, John Ludvig, Braden Hache, Marek Alscher


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 Canucks1000000123-11000000123-10000000000010.50024600312342237338385395202986214250.00%30100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
2Admirals2020000048-41010000013-21010000035-200.00046100031234227333838539520773116579222.22%8187.50%0614122150.29%607132145.95%26655847.67%823556888271469230
3Bears1010000034-11010000034-10000000000000.0003580031234222533838539520311110232150.00%5180.00%0614122150.29%607132145.95%26655847.67%823556888271469230
4Belleville Senators11000000422110000004220000000000021.00048120031234222033838539520411110194250.00%5180.00%0614122150.29%607132145.95%26655847.67%823556888271469230
5Bridgeport Islanders1010000023-11010000023-10000000000000.0002460031234222433838539520371112164125.00%6183.33%0614122150.29%607132145.95%26655847.67%823556888271469230
6Bruins1010000016-5000000000001010000016-500.00012300312342226338385395204991429300.00%7271.43%0614122150.29%607132145.95%26655847.67%823556888271469230
7Calgary Wranglers1010000035-21010000035-20000000000000.00036900312342217338385395204098252150.00%4175.00%0614122150.29%607132145.95%26655847.67%823556888271469230
8Chicago Wolves21100000761110000004131010000035-220.50071320003123422523383853952050726477228.57%11463.64%0614122150.29%607132145.95%26655847.67%823556888271469230
9Cleveland Monsters1010000012-11010000012-10000000000000.0001230031234222233838539520276426100.00%20100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
10Colorado Eagles1000010023-1000000000001000010023-110.500246003123422393383853952054712294125.00%40100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
11Condors11000000321110000003210000000000021.0003580031234224133838539520329621300.00%30100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
12Griffins10000010431000000000001000001043121.00044800312342229338385395203713425400.00%20100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
13Henderson Silver Knights2020000068-21010000023-11010000045-100.000610160031234226933838539520661616569222.22%8275.00%0614122150.29%607132145.95%26655847.67%823556888271469230
14IceHogs1010000023-11010000023-10000000000000.00024600312342235338385395201914174125.00%2150.00%0614122150.29%607132145.95%26655847.67%823556888271469230
15Ontario Reign22000000615110000003121100000030341.000610160131234227633838539520382364412216.67%30100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
16Phantoms31200000911-2211000004401010000057-220.3339172611312342275338385395201123126657342.86%110100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
17Rochester Americans1010000013-2000000000001010000013-200.0001230031234223733838539520296828400.00%4250.00%0614122150.29%607132145.95%26655847.67%823556888271469230
18San Diego Gulls22000000422110000003211100000010141.00048120131234226633838539520422018426116.67%8275.00%0614122150.29%607132145.95%26655847.67%823556888271469230
19San Jose Barracuda1010000025-3000000000001010000025-300.0002460031234223633838539520308632400.00%20100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
20Syracruse Crunch21100000910-11010000068-21100000032120.500917260031234226333838539520942422547457.14%8362.50%1614122150.29%607132145.95%26655847.67%823556888271469230
21Texas Stars21000001651110000004221000000123-130.750610160031234226433838539520832022462150.00%100100.00%2614122150.29%607132145.95%26655847.67%823556888271469230
22Thunderbirds11000000321110000003210000000000021.000369003123422293383853952025710346116.67%4175.00%0614122150.29%607132145.95%26655847.67%823556888271469230
23Toronto Marlies1010000024-21010000024-20000000000000.0002350031234222833838539520387621000%30100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
24Tucson Roadrunners1010000003-3000000000001010000003-300.0000000031234222733838539520257624200.00%30100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
25Utica Comets21000001871110000006421000000123-130.75081624003123422803383853952062148497114.29%40100.00%0614122150.29%607132145.95%26655847.67%823556888271469230
26Wilkes-Barre Penguins11000000321110000003210000000000021.00036900312342234338385395202776243133.33%3166.67%0614122150.29%607132145.95%26655847.67%823556888271469230
Total3613180011397113-1621101000001616011538001123653-17320.4449717627313312342211243383853952011943232928741202924.17%1332382.71%3614122150.29%607132145.95%26655847.67%823556888271469230
_Since Last GM Reset3613180011397113-1621101000001616011538001123653-17320.4449717627313312342211243383853952011943232928741202924.17%1332382.71%3614122150.29%607132145.95%26655847.67%823556888271469230
_Vs Conference18610000115463-911560000035341714000111929-10150.417549915311312342251533838539520634157156426531528.30%711578.87%1614122150.29%607132145.95%26655847.67%823556888271469230
_Vs Division724000102128-7312000001214-241200010914-560.42921365700312342220333838539520288706417622627.27%29872.41%1614122150.29%607132145.95%26655847.67%823556888271469230

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3632L1971762731124119432329287413
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
361318011397113
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
21101000016160
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
153801123653
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1202924.17%1332382.71%3
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
338385395203123422
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
614122150.29%607132145.95%26655847.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
823556888271469230


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
1 - 2025-10-071IceHogs3Charlotte Checkers2LSommaire du match
3 - 2025-10-0912Phantoms4Charlotte Checkers2LSommaire du match
5 - 2025-10-1127Belleville Senators2Charlotte Checkers4WSommaire du match
7 - 2025-10-1344Charlotte Checkers5Phantoms7LSommaire du match
9 - 2025-10-1558Charlotte Checkers4Griffins3WXXSommaire du match
10 - 2025-10-1664Charlotte Checkers2Utica Comets3LXXSommaire du match
12 - 2025-10-1876Charlotte Checkers1Rochester Americans3LSommaire du match
15 - 2025-10-21103Charlotte Checkers1Bruins6LSommaire du match
17 - 2025-10-23114Wilkes-Barre Penguins2Charlotte Checkers3WSommaire du match
19 - 2025-10-25130Henderson Silver Knights3Charlotte Checkers2LSommaire du match
22 - 2025-10-28153San Diego Gulls2Charlotte Checkers3WSommaire du match
26 - 2025-11-01185Texas Stars2Charlotte Checkers4WSommaire du match
29 - 2025-11-04211Charlotte Checkers1San Diego Gulls0WSommaire du match
31 - 2025-11-06226Charlotte Checkers3Ontario Reign0WSommaire du match
33 - 2025-11-08243Charlotte Checkers2San Jose Barracuda5LSommaire du match
35 - 2025-11-10255Charlotte Checkers4Henderson Silver Knights5LSommaire du match
38 - 2025-11-13273Bears4Charlotte Checkers3LSommaire du match
40 - 2025-11-15283Syracruse Crunch8Charlotte Checkers6LSommaire du match
42 - 2025-11-17303Abbotsford Canucks3Charlotte Checkers2LXXSommaire du match
45 - 2025-11-20323Utica Comets4Charlotte Checkers6WSommaire du match
47 - 2025-11-22338Condors2Charlotte Checkers3WSommaire du match
49 - 2025-11-24357Charlotte Checkers3Admirals5LSommaire du match
51 - 2025-11-26363Phantoms0Charlotte Checkers2WSommaire du match
53 - 2025-11-28380Calgary Wranglers5Charlotte Checkers3LSommaire du match
57 - 2025-12-02413Toronto Marlies4Charlotte Checkers2LSommaire du match
59 - 2025-12-04429Admirals3Charlotte Checkers1LSommaire du match
61 - 2025-12-06442Cleveland Monsters2Charlotte Checkers1LSommaire du match
62 - 2025-12-07454Bridgeport Islanders3Charlotte Checkers2LSommaire du match
65 - 2025-12-10478Charlotte Checkers0Tucson Roadrunners3LSommaire du match
66 - 2025-12-11490Charlotte Checkers2Colorado Eagles3LXSommaire du match
68 - 2025-12-13505Charlotte Checkers2Texas Stars3LXXSommaire du match
70 - 2025-12-15514Charlotte Checkers3Syracruse Crunch2WSommaire du match
72 - 2025-12-17529Ontario Reign1Charlotte Checkers3WSommaire du match
74 - 2025-12-19544Chicago Wolves1Charlotte Checkers4WSommaire du match
75 - 2025-12-20554Thunderbirds2Charlotte Checkers3WSommaire du match
78 - 2025-12-23581Charlotte Checkers3Chicago Wolves5LSommaire du match
82 - 2025-12-27591Syracruse Crunch-Charlotte Checkers-
84 - 2025-12-29607Bears-Charlotte Checkers-
85 - 2025-12-30618Laval Rocket-Charlotte Checkers-
88 - 2026-01-02641Wolf Pack-Charlotte Checkers-
90 - 2026-01-04659Colorado Eagles-Charlotte Checkers-
92 - 2026-01-06672Charlotte Checkers-Toronto Marlies-
94 - 2026-01-08683Charlotte Checkers-Laval Rocket-
96 - 2026-01-10704Charlotte Checkers-Belleville Senators-
98 - 2026-01-12716Charlotte Checkers-Rochester Americans-
102 - 2026-01-16750Charlotte Checkers-Chicago Wolves-
103 - 2026-01-17761Charlotte Checkers-Bears-
105 - 2026-01-19773San Jose Barracuda-Charlotte Checkers-
108 - 2026-01-22799Charlotte Checkers-Moose-
110 - 2026-01-24817Charlotte Checkers-Iowa Wild-
111 - 2026-01-25823Charlotte Checkers-IceHogs-
113 - 2026-01-27834Tucson Roadrunners-Charlotte Checkers-
115 - 2026-01-29852Charlotte Checkers-Thunderbirds-
117 - 2026-01-31862Moose-Charlotte Checkers-
119 - 2026-02-02876Rochester Americans-Charlotte Checkers-
121 - 2026-02-04893Bruins-Charlotte Checkers-
122 - 2026-02-05904Charlotte Checkers-Syracruse Crunch-
143 - 2026-02-26921Toronto Marlies-Charlotte Checkers-
144 - 2026-02-27930Rochester Americans-Charlotte Checkers-
146 - 2026-03-01948Charlotte Checkers-Bridgeport Islanders-
148 - 2026-03-03961Charlotte Checkers-Utica Comets-
150 - 2026-03-05978Charlotte Checkers-Cleveland Monsters-
151 - 2026-03-06983Charlotte Checkers-Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101016Griffins-Charlotte Checkers-
157 - 2026-03-121031Cleveland Monsters-Charlotte Checkers-
160 - 2026-03-151062Charlotte Checkers-Coachella Valley Firebirds-
162 - 2026-03-171074Charlotte Checkers-Abbotsford Canucks-
164 - 2026-03-191089Charlotte Checkers-Condors-
165 - 2026-03-201097Charlotte Checkers-Calgary Wranglers-
169 - 2026-03-241123Coachella Valley Firebirds-Charlotte Checkers-
171 - 2026-03-261140Iowa Wild-Charlotte Checkers-
173 - 2026-03-281153Charlotte Checkers-Bridgeport Islanders-
174 - 2026-03-291167Charlotte Checkers-Wolf Pack-
176 - 2026-03-311181Belleville Senators-Charlotte Checkers-
178 - 2026-04-021193Bruins-Charlotte Checkers-
180 - 2026-04-041211Charlotte Checkers-Wilkes-Barre Penguins-
181 - 2026-04-051223Charlotte Checkers-Wilkes-Barre Penguins-
183 - 2026-04-071233Charlotte Checkers-Laval Rocket-
185 - 2026-04-091249Charlotte Checkers-Belleville Senators-
187 - 2026-04-111270Charlotte Checkers-Toronto Marlies-
189 - 2026-04-131283Wolf Pack-Charlotte Checkers-
191 - 2026-04-151303Griffins-Charlotte Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance39,00919,721
Assistance PCT92.88%93.91%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-19 2797 - 93.22% 115,488$2,425,251$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,368,756$ 3,005,833$ 3,005,833$ 300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,242,801$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,194,275$ 112 17,129$ 1,918,448$




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