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Connexion

Checkers
GP: 4 | W: 2 | L: 2 | OTL: 0 | P: 4
GF: 8 | GA: 10 | PP%: 15.79% | PK%: 80.95%
DG: Tone Augustus | Morale : 85 | Moyenne d’équipe : 64
Prochains matchs #74 vs Iowa

Centre de jeu
Checkers
2-2-0, 4pts
0
4 Gulls
1-1-0, 2pts
Team Stats
W1SéquenceW1
0-0-0Fiche domicile1-0-0
2-2-0Fiche domicile0-1-0
2-2-0Derniers 10 matchs1-1-0
2.00Buts par match 3.00
2.50Buts contre par match 3.50
15.79%Pourcentage en avantage numérique20.00%
80.95%Pourcentage en désavantage numérique80.00%
Checkers
2-2-0, 4pts
5
3 Reign
0-3-0, 0pts
Team Stats
W1SéquenceL3
0-0-0Fiche domicile0-1-0
2-2-0Fiche domicile0-2-0
2-2-0Derniers 10 matchs0-3-0
2.00Buts par match 1.67
2.50Buts contre par match 4.00
15.79%Pourcentage en avantage numérique8.33%
80.95%Pourcentage en désavantage numérique86.67%
Iowa
2-1-0, 4pts
2026-08-22
Checkers
2-2-0, 4pts
Statistiques d’équipe
L1SéquenceW1
1-0-0Fiche domicile0-0-0
1-1-0Fiche visiteur2-2-0
2-1-010 derniers matchs2-2-0
3.67Buts par match 2.00
3.33Buts contre par match 2.00
9.09%Pourcentage en avantage numérique15.79%
84.62%Pourcentage en désavantage numérique80.95%
Checkers
2-2-0, 4pts
2026-08-24
Rochester Americans
2-1-0, 4pts
Statistiques d’équipe
W1SéquenceW2
0-0-0Fiche domicile2-0-0
2-2-0Fiche visiteur0-1-0
2-2-010 derniers matchs2-1-0
2.00Buts par match 2.33
2.50Buts contre par match 2.33
15.79%Pourcentage en avantage numérique28.57%
80.95%Pourcentage en désavantage numérique94.44%
Checkers
2-2-0, 4pts
2026-08-25
Monsters
1-1-0, 2pts
Statistiques d’équipe
W1SéquenceL1
0-0-0Fiche domicile1-1-0
2-2-0Fiche visiteur0-0-0
2-2-010 derniers matchs1-1-0
2.00Buts par match 2.50
2.50Buts contre par match 2.50
15.79%Pourcentage en avantage numérique0.00%
80.95%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Matej Blumel*
3
Jakob Silfverberg*Passes
Jakob Silfverberg*
3
Points
Matej Blumel*
4
Plus/Moins
Marek Alscher
2
Victoires
Pheonix Copley
2
Pourcentage d’arrêts
Pheonix Copley
0.885

Statistiques d’équipe
Buts pour
8
2.00 GFG
Tirs pour
111
27.75 Avg
Pourcentage en avantage numérique
15.8%
3 GF
Début de zone offensive
44.8%
Buts contre
10
2.50 GAA
Tirs contre
90
22.50 Avg
Pourcentage en désavantage numérique
81.0%%
4 GA
Début de la zone défensive
37.8%
Informations de l'équipe

Directeur généralTone Augustus
EntraîneurCraig Berube
DivisionDivision 6
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite Contrat45 / 60
Espoirs33


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
1Danton Heinen0XXX100.0070398868788086667469677065767346846903111,150,000$
2Jakob Silfverberg*0XX100.00563689687984906656656182648376408468N03511,200,000$
3Matt Luff0XX100.00774181668786836562646867697071368467N0293800,000$
4Matej Blumel*0XX100.006537906875778667616365626766685984660261875,000$
5Skyler Brind'Amour0XX100.006939826179858758605561666267694284640271850,000$
6Jonah Gadjovich0XX100.008677656686726962586061635668695984640271775,000$
7Pierrick Dube0X100.005538786164867562646261606365674284630251968,000$
8Ryan McAllister0XX100.005837886268776561666362606165674284630241896,667$
9Jack Devine (R)0XX100.006137726567748664666255575863654984630232972,500$
10Patrick Giles0XX100.007941865993788558555457625666684284620262875,000$
11Ryan Tverberg0XX100.006637845870758157605655595464664884610242850,000$
12Jake Wise0XX100.005937906068767958625957566166686384610261750,000$
13Jani Hakanpaa*0X100.00854980649990886230705989517375388472N0342800,000$
14Michael Benning0X100.005737816568858464306662605264666184650241850,000$
15Marek Alscher0X100.007641806285838058306053644762656384630221865,000$
16Ludvig Jansson (R)0X100.005836896270837258306054574863655884610222955,000$
17Charlie Wright0X100.006436955573627254305351564563654584590221930,000$
18Lleyton Moore0X100.005735955664667155305853544664664384590241930,000$
Rayé
1Kai Schwindt (R)0XX100.008340955592676554565352595163654581600221873,334$
2Jaxsen Wiebe*0XX100.007040755679676654515355525463654381570241852,500$
3Riley Bezeau0XX100.006347535572706854525356575464664381570241940,000$
4Josh Davies0XX100.006042595469666553505152555362644981560221828,333$
5Carter Berger0X100.006637915674656353305450554667695181590271800,000$
6Dawson Barteaux0X100.006539835374647352305451554566684781580262800,000$
MOYENNE D’ÉQUIPE100.00674182617676775950595762556668488362
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
1Petr Mrazek0100.00838074798281838281838284885184780342800,000$
2Pheonix Copley098.00778680877675777675777674884480760341800,000$
Rayé
1David Tendeck0100.00676566726665676665676663694983650261807,000$
MOYENNE D’ÉQUIPE99.3376777379757476757476757482488273
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Berube83848882908456CAN6023,500,000$


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
1Matej Blumel*Checkers (FLA)LW/RW4314-10017103630.00%07017.540111140001102040.00%500001.1400000011
2Danton HeinenCheckers (FLA)C/LW/RW421310057180811.11%09323.431127160001220062.16%14800000.6400000100
3Jakob Silfverberg*Checkers (FLA)LW/RW40331001211690%29323.470221160000230066.67%300000.6400000001
4Skyler Brind'AmourCheckers (FLA)C/LW4022-100276210%06115.43000115000010052.17%6900000.6500000000
5Jani Hakanpaa*Checkers (FLA)D4202-1180168134815.38%39223.22101916000210000%000000.4300000000
6Jonah GadjovichCheckers (FLA)LW/RW4022-180657210%06015.05000315000000071.43%700000.6600000000
7Marek AlscherCheckers (FLA)D41122406441425.00%98521.45101415000016000%000000.4700000001
8Ryan TverbergCheckers (FLA)C/RW4011100342130%0358.83000000000000100.00%100000.5700000000
9Jake WiseCheckers (FLA)C/LW4011100235170%0348.690000000000000%200000.5800000000
10Ludvig JanssonCheckers (FLA)D4011220453200%68320.86000215000013000%000000.2400000000
11Michael BenningCheckers (FLA)D4011-140232020%110025.10000116000018000%000000.2000000000
12Matt LuffCheckers (FLA)LW/RW400012010314260%18020.110002170001100016.67%120000000000000
13Patrick GilesCheckers (FLA)C/RW4000100554030%0358.8300000000000050.00%380000000000000
14Charlie WrightCheckers (FLA)D4000-200530100%16315.7700000000011000%00000000000000
15Lleyton MooreCheckers (FLA)D4000-220211000%35313.270000000001000%00000000000000
16Pierrick DubeCheckers (FLA)RW4000-200233240%0379.460000000000000%10000000000000
17Ryan McAllisterCheckers (FLA)C/LW4000-200042010%0389.6100001000000046.15%390000000000000
18Jack DevineCheckers (FLA)LW/RW4000-220556000%04010.0500000000030033.33%30000000000000
Statistiques d’équipe totales ou en moyenne7281422-5420777911127637.21%26116016.123473116300051432054.27%32800000.3800000113
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
1Pheonix CopleyCheckers (FLA)42200.8852.772170110870000040100
2Petr MrazekCheckers (FLA)10001.00002100030000004000
Statistiques d’équipe totales ou en moyenne52200.8892.51239011090000044100


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
Carter BergerCheckers (FLA)D271999-09-17CANNo200 Lbs6 ft0NoNoAssign ManuallyNoNo12026-05-25FalseFalsePro & Farm800,000$765,405$0$0$No---------------------------Lien
Charlie WrightCheckers (FLA)D222003-10-22CANNo179 Lbs6 ft1NoNoFree AgentNoNo12025-08-19FalseFalsePro & Farm930,000$889,784$0$0$No---------------------------Lien
Danton HeinenCheckers (FLA)C/LW/RW311995-07-05CANNo187 Lbs6 ft2NoNoTrade2025-08-19NoNo12024-08-17FalseFalsePro & Farm1,150,000$1,100,270$0$0$No---------------------------Lien / Lien NHL
David TendeckCheckers (FLA)G261999-11-25CANNo173 Lbs6 ft1NoNoN/ANoNo12026-06-01FalseFalsePro & Farm807,000$772,103$0$0$No---------------------------Lien
Dawson BarteauxCheckers (FLA)D262000-01-12CANNo185 Lbs6 ft1NoNoFree AgentNoNo22025-08-19FalseFalsePro & Farm800,000$765,405$0$0$No800,000$--------800,000$--------No--------Lien
Jack DevineCheckers (FLA)LW/RW232003-10-01USAYes181 Lbs5 ft11NoNoAssign ManuallyNoNo22026-05-22FalseFalsePro & Farm972,500$930,446$0$0$No972,500$--------972,500$--------No--------Lien
Jake WiseCheckers (FLA)C/LW262000-02-28USANo189 Lbs5 ft10NoNoAssign ManuallyNoNo12026-06-01FalseFalsePro & Farm750,000$717,568$0$0$No---------------------------Lien
Jakob Silfverberg*Checkers (FLA)LW/RW351990-10-13SWENo207 Lbs6 ft1YesNoFree AgentNoNo12026-07-20FalseFalseFarm Only1,200,000$1,148,108$0$0$No---------------------------Lien / Lien NHL
Jani Hakanpaa*Checkers (FLA)D341992-03-31FINNo222 Lbs6 ft7YesNoFree AgentNoNo22026-07-20FalseFalseFarm Only800,000$765,405$0$0$No800,000$--------800,000$--------Yes--------Lien
Jaxsen Wiebe*Checkers (FLA)C/RW242002-05-16CANNo209 Lbs6 ft1NoNoTrade2024-10-17NoNo12026-06-01FalseFalseFarm Only852,500$815,635$0$0$No---------------------------Lien
Jonah GadjovichCheckers (FLA)LW/RW271998-10-12CANNo211 Lbs6 ft3NoNoAssign ManuallyNoNo12026-06-01FalseFalsePro & Farm775,000$741,486$0$0$No---------------------------Lien
Josh DaviesCheckers (FLA)C/LW222004-03-24CANNo197 Lbs5 ft9NoNoAssign ManuallyNoNo12025-06-02FalseFalsePro & Farm828,333$792,513$0$0$No---------------------------Lien
Kai SchwindtCheckers (FLA)LW/RW222003-12-07CANYes197 Lbs6 ft6NoNoAssign ManuallyNoNo12026-05-25FalseFalsePro & Farm873,334$835,568$0$0$No---------------------------Lien
Lleyton MooreCheckers (FLA)D242002-02-27CANNo178 Lbs5 ft8NoNoFree AgentNoNo12025-08-19FalseFalsePro & Farm930,000$889,784$0$0$No---------------------------Lien
Ludvig JanssonCheckers (FLA)D222003-12-27SWEYes176 Lbs6 ft0NoNoAssign ManuallyNoNo22026-05-24FalseFalsePro & Farm955,000$913,703$0$0$No955,000$--------955,000$--------No--------Lien
Marek AlscherCheckers (FLA)D222004-04-07CZENo206 Lbs6 ft3NoNoAssign ManuallyNoNo12025-06-02FalseFalsePro & Farm865,000$827,595$0$0$No---------------------------Lien
Matej Blumel*Checkers (FLA)LW/RW262000-05-31CZENo202 Lbs6 ft0NoNoTrade2025-07-08NoNo12026-06-01FalseFalsePro & Farm875,000$837,162$0$0$No---------------------------Lien
Matt LuffCheckers (FLA)LW/RW291997-05-05CANNo219 Lbs6 ft3YesNoFree AgentNoNo32026-07-24FalseFalsePro & Farm800,000$765,405$0$0$No800,000$800,000$-------800,000$800,000$-------YesYes-------Lien
Michael BenningCheckers (FLA)D242002-01-05CANNo185 Lbs5 ft9NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$813,243$0$0$No---------------------------Lien
Patrick GilesCheckers (FLA)C/RW262000-01-03USANo218 Lbs6 ft5NoNoN/ANoNo22026-06-01FalseFalsePro & Farm875,000$837,162$0$0$No875,000$--------875,000$--------No--------Lien
Petr MrazekCheckers (FLA)G341992-02-14CZENo192 Lbs6 ft2NoNoFree AgentNoNo22026-07-24FalseFalsePro & Farm800,000$765,405$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Pheonix CopleyCheckers (FLA)G341992-01-18USANo205 Lbs6 ft4NoNoFree AgentNoNo12026-07-31FalseFalsePro & Farm800,000$765,405$0$0$No---------------------------Lien
Pierrick DubeCheckers (FLA)RW252001-01-07FRANo172 Lbs5 ft9NoNoTrade2025-06-06NoNo12026-06-01FalseFalsePro & Farm968,000$926,141$0$0$No---------------------------Lien
Riley BezeauCheckers (FLA)LW/RW242002-05-04CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm940,000$899,351$0$0$No---------------------------Lien
Ryan McAllisterCheckers (FLA)C/LW242001-12-19CANNo183 Lbs5 ft10NoNoAssign ManuallyNoNo12026-06-01FalseFalsePro & Farm896,667$857,892$0$0$No---------------------------Lien
Ryan TverbergCheckers (FLA)C/RW242002-01-30CANNo187 Lbs5 ft11NoNoFree AgentNoNo22025-08-19FalseFalsePro & Farm850,000$813,243$0$0$No850,000$--------850,000$--------No--------Lien
Skyler Brind'AmourCheckers (FLA)C/LW271999-07-27USANo195 Lbs6 ft2NoNoProspectNoNo12026-09-09FalseFalsePro & Farm850,000$813,243$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.30194 Lbs6 ft11.33881,235$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob Silfverberg*Danton HeinenMatt Luff32122
2Matej Blumel*Skyler Brind'AmourJonah Gadjovich26122
3Jack DevineRyan McAllisterPierrick Dube22122
4Jake WisePatrick GilesRyan Tverberg20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani Hakanpaa*Michael Benning32122
2Marek AlscherLudvig Jansson26122
3Lleyton MooreCharlie Wright22122
4Jani Hakanpaa*Michael Benning20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob Silfverberg*Danton HeinenMatt Luff60122
2Matej Blumel*Skyler Brind'AmourJonah Gadjovich40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani Hakanpaa*Michael Benning60122
2Marek AlscherLudvig Jansson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Danton HeinenJakob Silfverberg*60122
2Matt LuffMatej Blumel*40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani Hakanpaa*Michael Benning60122
2Marek AlscherLudvig Jansson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Danton Heinen60122Jani Hakanpaa*Michael Benning60122
2Jakob Silfverberg*40122Marek AlscherLudvig Jansson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Danton HeinenJakob Silfverberg*60122
2Matt LuffMatej Blumel*40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani Hakanpaa*Michael Benning60122
2Marek AlscherLudvig Jansson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob Silfverberg*Danton HeinenMatt LuffJani Hakanpaa*Michael Benning
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob Silfverberg*Danton HeinenMatt LuffJani Hakanpaa*Michael Benning
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan McAllister, Pierrick Dube, Jack DevineRyan McAllister, Pierrick DubeJack Devine
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Lleyton Moore, Charlie Wright, Marek AlscherLleyton MooreCharlie Wright, Marek Alscher
Tirs de pénalité
Danton Heinen, Jakob Silfverberg*, Matt Luff, Matej Blumel*, Skyler Brind'Amour
Gardien
#1 : Pheonix Copley, #2 : Petr Mrazek
Lignes d’attaque personnalisées en prolongation
Danton Heinen, Jakob Silfverberg*, Matt Luff, Matej Blumel*, Skyler Brind'Amour, Jonah Gadjovich, Ryan McAllister, Pierrick Dube, Jack Devine, Patrick Giles
Lignes de défense personnalisées en prolongation
Jani Hakanpaa*, Michael Benning, Marek Alscher, Ludvig Jansson, Lleyton Moore


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
1Barracuda1010000023-1000000000001010000023-100.0002350023302628513201756256233.33%3233.33%08114755.10%6412451.61%335757.89%916197315125
2Gulls1010000004-4000000000001010000004-400.0000000023303428513202181219500.00%6183.33%08114755.10%6412451.61%335757.89%916197315125
3Les Wolves de Chicago11000000101000000000001100000010121.0001230123302528513201971216400.00%60100.00%08114755.10%6412451.61%335757.89%916197315125
4Reign11000000532000000000001100000053221.000591400233026285132033612174125.00%6183.33%08114755.10%6412451.61%335757.89%916197315125
Total42200000810-20000000000042200000810-240.5008142201233011128513209026427719315.79%21480.95%08114755.10%6412451.61%335757.89%916197315125
_Since Last GM Reset42200000810-20000000000042200000810-240.5008142201233011128513209026427719315.79%21480.95%08114755.10%6412451.61%335757.89%916197315125
_Vs Conference11000000101000000000001100000010121.0001230123302528513201971216400.00%60100.00%08114755.10%6412451.61%335757.89%916197315125

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
44W1814221119026427701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4220000810
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4220000810
Derniers 10 matchs
WLOTWOTL SOWSOL
220000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
19315.79%21480.95%0
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
28513202330
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
8114755.10%6412451.61%335757.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
916197315125


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 - 2026-08-112Checkers 1Les Wolves de Chicago0WSommaire du match
3 - 2026-08-1312Checkers 2Barracuda3LSommaire du match
6 - 2026-08-1639Checkers 0Gulls4LSommaire du match
8 - 2026-08-1852Checkers 5Reign3WSommaire du match
12 - 2026-08-2274Iowa -Checkers -
14 - 2026-08-2487Checkers -Rochester Americans-
15 - 2026-08-25104Checkers -Monsters-
17 - 2026-08-27114Canucks d'abbotsford-Checkers -
19 - 2026-08-29133Coachella Valley Firebirds-Checkers -
23 - 2026-09-02152Checkers -Belleville-
24 - 2026-09-03155Checkers -Wilkes-Barre/Scranton Penguins-
27 - 2026-09-06180Checkers -Rockford IceHogs-
29 - 2026-09-08197Checkers -Moose-
32 - 2026-09-11216Moose-Checkers -
35 - 2026-09-14235Grand Rapids Griffins-Checkers -
37 - 2026-09-16248Rockford IceHogs-Checkers -
40 - 2026-09-19272Checkers -Hershey Bears-
41 - 2026-09-20278Checkers -Providence Bruins-
43 - 2026-09-22292Checkers -Monsters-
45 - 2026-09-24307Grand Rapids Griffins-Checkers -
47 - 2026-09-26324Checkers -Thunderbirds-
48 - 2026-09-27327Checkers -Texas Stars-
50 - 2026-09-29339Condors-Checkers -
53 - 2026-10-02364Rochester Americans-Checkers -
57 - 2026-10-06396Belleville-Checkers -
58 - 2026-10-07402Checkers -Hershey Bears-
59 - 2026-10-08427Crunch de Syracuse-Checkers -
62 - 2026-10-11436Checkers -Les Hammers d'Hamilton-
64 - 2026-10-13453Checkers -Toronto Marlies-
66 - 2026-10-15467Checkers -Rocket -
69 - 2026-10-18493Providence Bruins-Checkers -
71 - 2026-10-20503Wilkes-Barre/Scranton Penguins-Checkers -
73 - 2026-10-22518Checkers -Grand Rapids Griffins-
75 - 2026-10-24532Checkers -Adirondack Phantoms-
76 - 2026-10-25544Checkers -Providence Bruins-
80 - 2026-10-29573Wranglers-Checkers -
82 - 2026-10-31585Thunderbirds-Checkers -
84 - 2026-11-02607Crunch de Syracuse-Checkers -
86 - 2026-11-04620Milwaukee Admirals-Checkers -
88 - 2026-11-06639Rochester Americans-Checkers -
90 - 2026-11-08650Checkers -Milwaukee Admirals-
91 - 2026-11-09661Rocket -Checkers -
94 - 2026-11-12689Checkers -Wranglers-
96 - 2026-11-14696Checkers -Condors-
98 - 2026-11-16710Checkers -Canucks d'abbotsford-
101 - 2026-11-19735Checkers -Coachella Valley Firebirds-
103 - 2026-11-21744Checkers -Iowa -
105 - 2026-11-23761Silver Knights-Checkers -
107 - 2026-11-25779Belleville-Checkers -
110 - 2026-11-28799Les Wolves de Chicago-Checkers -
113 - 2026-12-01827Reign-Checkers -
115 - 2026-12-03840Checkers -Adirondack Phantoms-
116 - 2026-12-04848Checkers -Harford Wolf Pack-
118 - 2026-12-06861Checkers -Grand Rapids Griffins-
121 - 2026-12-09883Les Hammers d'Hamilton-Checkers -
123 - 2026-12-11894Hershey Bears-Checkers -
128 - 2026-12-16910Eagles -Checkers -
129 - 2026-12-17918Texas Stars-Checkers -
132 - 2026-12-20941Checkers -Crunch de Syracuse-
134 - 2026-12-22952Comets-Checkers -
136 - 2026-12-24972Gulls-Checkers -
137 - 2026-12-25982Barracuda-Checkers -
140 - 2026-12-281003Checkers -Silver Knights-
142 - 2026-12-301016Checkers -Tuckson Roadrunners-
143 - 2026-12-311020Checkers -Eagles -
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
146 - 2027-01-031043Tuckson Roadrunners-Checkers -
148 - 2027-01-051058Wilkes-Barre/Scranton Penguins-Checkers -
150 - 2027-01-071076Toronto Marlies-Checkers -
153 - 2027-01-101093Comets-Checkers -
156 - 2027-01-131117Les Hammers d'Hamilton-Checkers -
159 - 2027-01-161139Checkers -Toronto Marlies-
160 - 2027-01-171151Checkers -Rocket -
162 - 2027-01-191160Checkers -Belleville-
164 - 2027-01-211177Checkers -Rochester Americans-
167 - 2027-01-241198Checkers -Crunch de Syracuse-
169 - 2027-01-261216Harford Wolf Pack-Checkers -
171 - 2027-01-281239Adirondack Phantoms-Checkers -
174 - 2027-01-311254Monsters-Checkers -
176 - 2027-02-021271Toronto Marlies-Checkers -
178 - 2027-02-041286Checkers -Harford Wolf Pack-
179 - 2027-02-051295Checkers -Comets-
181 - 2027-02-071302Rocket -Checkers -
184 - 2027-02-101325Providence Bruins-Checkers -
185 - 2027-02-111341Les Wolves de Chicago-Checkers -



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
254,240$ 2,379,333$ 2,379,333$ 3,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,861$ 102,888$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 177 31,780$ 5,625,060$




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

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

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

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

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