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Connexion

Checkers
GP: 44 | W: 8 | L: 31 | OTL: 5 | P: 21
GF: 112 | GA: 206 | PP%: 16.11% | PK%: 70.33%
DG: Nicolas Samson | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #716 vs Americans

Centre de jeu
Checkers
8-31-5, 21pts
0
9 Rocket
24-18-3, 51pts
Team Stats
L10SéquenceL1
4-18-4Fiche domicile14-8-1
4-13-1Fiche domicile10-10-2
0-10-0Derniers 10 matchs5-5-0
2.55Buts par match 3.40
4.68Buts contre par match 3.00
16.11%Pourcentage en avantage numérique23.23%
70.33%Pourcentage en désavantage numérique83.70%
Checkers
8-31-5, 21pts
2
3 Senators
29-9-6, 64pts
Team Stats
L10SéquenceW1
4-18-4Fiche domicile16-2-4
4-13-1Fiche domicile13-7-2
0-10-0Derniers 10 matchs5-4-1
2.55Buts par match 3.86
4.68Buts contre par match 3.09
16.11%Pourcentage en avantage numérique27.98%
70.33%Pourcentage en désavantage numérique80.61%
Checkers
8-31-5, 21pts
2026-01-12
Americans
23-15-5, 51pts
Statistiques d’équipe
L10SéquenceL1
4-18-4Fiche domicile13-5-3
4-13-1Fiche visiteur10-10-2
0-10-010 derniers matchs6-4-0
2.55Buts par match 3.60
4.68Buts contre par match 3.60
16.11%Pourcentage en avantage numérique24.38%
70.33%Pourcentage en désavantage numérique77.50%
Checkers
8-31-5, 21pts
2026-01-16
Wolves
33-10-2, 68pts
Statistiques d’équipe
L10SéquenceL1
4-18-4Fiche domicile19-5-1
4-13-1Fiche visiteur14-5-1
0-10-010 derniers matchs8-2-0
2.55Buts par match 3.78
4.68Buts contre par match 3.78
16.11%Pourcentage en avantage numérique26.25%
70.33%Pourcentage en désavantage numérique91.33%
Checkers
8-31-5, 21pts
2026-01-17
Bears
24-17-5, 53pts
Statistiques d’équipe
L10SéquenceW3
4-18-4Fiche domicile11-11-2
4-13-1Fiche visiteur13-6-3
0-10-010 derniers matchs8-1-1
2.55Buts par match 3.59
4.68Buts contre par match 3.59
16.11%Pourcentage en avantage numérique22.78%
70.33%Pourcentage en désavantage numérique78.65%
Meneurs d'équipe
Keaton MastrodonatoButs
Keaton Mastrodonato
10
Maxim GroshevPasses
Maxim Groshev
22
Maxim GroshevPoints
Maxim Groshev
28
Matt StienburgPlus/Moins
Matt Stienburg
9
Mitchell WeeksVictoires
Mitchell Weeks
8
Mitchell WeeksPourcentage d’arrêts
Mitchell Weeks
0.903

Statistiques d’équipe
Buts pour
112
2.55 GFG
Tirs pour
1235
28.07 Avg
Pourcentage en avantage numérique
16.1%
24 GF
Début de zone offensive
32.9%
Buts contre
206
4.68 GAA
Tirs contre
2085
47.39 Avg
Pourcentage en désavantage numérique
70.3%%
27 GA
Début de la zone défensive
48.9%
Informations de l'équipe

Directeur généralNicolas Samson
EntraîneurDavid Bell
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,683
Billets de saison3,750


Informations de la formation

Équipe Pro16
Équipe Mineure22
Limite contact 38 / 70
Espoirs26


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
1Pontus HolmbergX100.00673889687581846675646771636668040660271925,000$
2Ethen FrankX100.00613692697085836663616762656869040650282925,000$
3Noah PhilpX100.00723986638385726265606163626769040640282925,000$
4Maxim GroshevX100.00713989598079835855565754586466040610242925,000$
5Jakub BrabenecX100.00643792597369805862565755586264040600222925,000$
6Matt StienburgX100.00694166587469725665595755586567040600254925,000$
7Brett BudgellX100.00624272567162645565585054526466040580254925,000$
8Tarun FizerX100.00583595566677675357545552566466040580254925,000$
9Keaton MastrodonatoX100.00663986527572655156525354526567040570254925,000$
10Chad RuhwedelX100.007239866270798059306258754976770406403631,499,999$
11Louie BelpedioX100.00634066647280826330656264536971040640302925,000$
12Gustav OlofssonX100.00663887598081795730585461477173040610311925,000$
13Peter DiLiberatoreX100.00553779576470685630555451466567040580264925,000$
Rayé
MOYENNE D’ÉQUIPE100.0065388360737675585358585955676804061
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
1Jeremy Brodeur100.0071726771706971706971706983040640292925,000$
2Mitchell Weeks100.0071787481706971706971706471040640254925,000$
Rayé
1Luke Cavallin100.0066736980656466656466656571040610252925,000$
MOYENNE D’ÉQUIPE100.006974707768676968676968667504063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Bell74686761746978CAN4841,000,000$


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
1Alex LaferrierePanthersLW/RW30241640-231951291282166718911.11%6787529.18819521090001401244.12%6800010.9113001252
2Juuso ParssinenPanthersC/LW30192039-695711271794011810.61%3272824.27481231660001273253.26%75100021.0723001332
3Maxim GroshevCheckers (FLA)LW4462228-46500131989236656.52%79103423.5247112468000040063.41%4100000.5413000002
4Jakub BrabenecCheckers (FLA)C4461824-1319563726925538.70%6078217.7900000000000053.33%1500000.6100001102
5Tarun FizerCheckers (FLA)RW4491120-2940165811223678.04%1589120.274592167000010032.93%8200000.4500000010
6Brett BudgellCheckers (FLA)C4431619-35155751378021463.75%2592521.04000190002220046.47%109100100.4100010011
7Keaton MastrodonatoCheckers (FLA)C4410919-24180677171214014.08%1785719.4901155000010144.26%36600000.4404000102
8Matt StienburgCheckers (FLA)C4499189240673854154116.67%2744410.1100000000000055.38%6500000.8100000110
9Peter DiLiberatoreCheckers (FLA)D4421012-4225556553012246.67%64101523.090000000000000%100000.2400001000
Statistiques d’équipe totales ou en moyenne36888131219-209183256757849032606439.75%386755620.532022421343280004974548.23%248000130.5841301481111
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Mitchell WeeksCheckers (FLA)4483150.9034.5424864018819330320.46213440531
2Luke CavallinCheckers (FLA)30000.9014.531060088101000030000
Statistiques d’équipe totales ou en moyenne4783150.9034.542593401962014042134430531


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
Brett BudgellCheckers (FLA)C252001-06-01CANNo185 Lbs183 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Chad RuhwedelCheckers (FLA)D361990-05-07USANo189 Lbs180 CMNoNoN/AYesYes3FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Ethen FrankCheckers (FLA)C281998-02-05USANo188 Lbs180 CMNoNoFree AgentYesYes22025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Gustav OlofssonCheckers (FLA)D311994-12-01SWENo199 Lbs188 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jakub BrabenecCheckers (FLA)C222003-09-11CZENo180 Lbs185 CMNoNoAssign ManuallyNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jeremy BrodeurCheckers (FLA)G291996-10-29USANo185 Lbs183 CMNoNoFree AgentYesYes22025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Keaton MastrodonatoCheckers (FLA)C252000-09-24CANNo205 Lbs183 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Louie BelpedioCheckers (FLA)D301996-05-14USANo197 Lbs180 CMNoNoFree AgentYesYes22025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Luke CavallinCheckers (FLA)G252001-04-29CANNo196 Lbs188 CMNoNoAssign ManuallyNoNo22024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Matt StienburgCheckers (FLA)C252000-10-07CANNo182 Lbs185 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Maxim GroshevCheckers (FLA)LW242001-12-14RUSNo196 Lbs188 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Mitchell WeeksCheckers (FLA)G252001-06-22CANNo187 Lbs191 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Noah PhilpCheckers (FLA)C281998-08-31CANNo198 Lbs191 CMNoNoFree AgentYesYes22025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Peter DiLiberatoreCheckers (FLA)D262000-03-31CANNo160 Lbs180 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Pontus HolmbergCheckers (FLA)RW271999-03-09SWENo201 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Tarun FizerCheckers (FLA)RW252001-03-01CANNo168 Lbs180 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1626.94189 Lbs185 CM2.69960,937$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Maxim GroshevTarun Fizer30122
3Jakub Brabenec20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
3Peter DiLiberatoreMatt Stienburg20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Maxim GroshevTarun Fizer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Budgell, Keaton Mastrodonato, Brett Budgell, Keaton Mastrodonato
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Peter DiLiberatore, , Peter DiLiberatore,
Tirs de pénalité
, , , ,
Gardien
#1 : Mitchell Weeks, #2 :


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
1Admirals2010010048-41000010045-11010000003-310.25046100037383556040641239832962414508112.50%6183.33%0485130537.16%696194235.84%31172243.07%8035351323334536240
2Americans1010000035-2000000000001010000035-200.00034700373835531406412398325417623400.00%3166.67%0485130537.16%696194235.84%31172243.07%8035351323334536240
3Barracuda1010000025-3000000000001010000025-300.00023500373835523406412398324614420300.00%2150.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
4Bears20200000412-820200000412-80000000000000.000471100373835552406412398321042712387114.29%4175.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
5Bruins11000000541000000000001100000054121.0005101500373835523406412398323016415300.00%10100.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
6Canucks1010000023-11010000023-10000000000000.000246003738355314064123983244141024500.00%5180.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
7Comets2020000069-31010000013-21010000056-100.000611170037383557440641239832821582713215.38%4250.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
8Condors1010000056-11010000056-10000000000000.000510150037383553340641239832537623300.00%3233.33%0485130537.16%696194235.84%31172243.07%8035351323334536240
9Crunch30200100612-62010010058-31010000014-310.1676101600373835554406412398321644716591218.33%8362.50%0485130537.16%696194235.84%31172243.07%8035351323334536240
10Eagles2010000137-41010000014-31000000123-110.2503580037383556240641239832682425315120.00%40100.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
11Griffins1010000017-6000000000001010000017-600.000123003738355284064123983252138246116.67%3166.67%0485130537.16%696194235.84%31172243.07%8035351323334536240
12Gulls210000019811000000134-11100000064230.75091423003738355574064123983283228519222.22%4250.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
13Heat11000000422110000004220000000000021.0004711003738355344064123983243212174250.00%10100.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
14IceHogs1010000036-31010000036-30000000000000.00036900373835536406412398323560192150.00%000%0485130537.16%696194235.84%31172243.07%8035351323334536240
15Marlies2010100068-2100010003211010000036-320.500610160037383556340641239832913413387228.57%40100.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
16Monsters1010000037-41010000037-40000000000000.0003580037383552640641239832462010224250.00%5260.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
17Penguins1010000035-21010000035-20000000000000.000369103738355314064123983246154224125.00%20100.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
18Phantoms31200000121112020000058-31100000073420.33312213310373835599406412398321154346610330.00%10100.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
19Reign21100000611-51010000018-71100000053220.50061117003738355384064123983299198416233.33%4250.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
20Roadrunners1010000025-3000000000001010000025-300.000246003738355304064123983241102205120.00%10100.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
21Rocket20200000317-141010000038-51010000009-900.000358003738355454064123983212338650400.00%3233.33%0485130537.16%696194235.84%31172243.07%8035351323334536240
22Senators20100010550100000103211010000023-120.5005611003738355554064123983298331347300.00%40100.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
23Silver Knights2020000026-41010000002-21010000024-200.000224003738355624064123983291381949500.00%3166.67%0485130537.16%696194235.84%31172243.07%8035351323334536240
24Sound Tigers1010000016-51010000016-50000000000000.00012300373835529406412398323510419200.00%20100.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
25Stars21100000310-7110000003211010000008-820.50035800373835555406412398321113010457114.29%5260.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
26Thunderbirds1010000016-51010000016-50000000000000.0001230037383552140641239832588811100.00%4175.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
27Wolf Pack1010000034-11010000034-10000000000000.00036900373835536406412398325212413500.00%20100.00%0485130537.16%696194235.84%31172243.07%8035351323334536240
28Wolves20100001511-61000000145-11010000016-510.25051015003738355474064123983212537840200.00%3233.33%0485130537.16%696194235.84%31172243.07%8035351323334536240
Total4463101213112206-94262180121265118-5318413000014788-41210.23911219430620373835512354064123983220856142369041492416.11%912770.33%0485130537.16%696194235.84%31172243.07%8035351323334536240
_Since Last GM Reset4463101213112206-94262180121265118-5318413000014788-41210.23911219430620373835512354064123983220856142369041492416.11%912770.33%0485130537.16%696194235.84%31172243.07%8035351323334536240
_Vs Conference252190111166123-5715011011113870-321028000002853-25100.20066115181203738355693406412398321217377120503861315.12%491471.43%0485130537.16%696194235.84%31172243.07%8035351323334536240
_Vs Division1218011102958-29502011101420-6716000001538-2370.292294776003738355299406412398326121986625639410.26%26773.08%0485130537.16%696194235.84%31172243.07%8035351323334536240

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4421L101121943061235208561423690420
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
446311213112206
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
26218121265118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1841300014788
Derniers 10 matchs
WLOTWOTL SOWSOL
0100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1492416.11%912770.33%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
406412398323738355
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
485130537.16%696194235.84%31172243.07%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
8035351323334536240


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 - 2025-10-071IceHogs6Checkers3LSommaire du match
3 - 2025-10-0912Phantoms4Checkers3LSommaire du match
5 - 2025-10-1127Senators2Checkers3WXXSommaire du match
7 - 2025-10-1344Checkers7Phantoms3WSommaire du match
9 - 2025-10-1558Checkers1Griffins7LSommaire du match
10 - 2025-10-1664Checkers5Comets6LSommaire du match
12 - 2025-10-1876Checkers3Americans5LSommaire du match
15 - 2025-10-21103Checkers5Bruins4WSommaire du match
17 - 2025-10-23114Penguins5Checkers3LSommaire du match
19 - 2025-10-25130Silver Knights2Checkers0LSommaire du match
22 - 2025-10-28153Gulls4Checkers3LXXSommaire du match
26 - 2025-11-01185Stars2Checkers3WSommaire du match
29 - 2025-11-04211Checkers6Gulls4WSommaire du match
31 - 2025-11-06226Checkers5Reign3WSommaire du match
33 - 2025-11-08243Checkers2Barracuda5LSommaire du match
35 - 2025-11-10255Checkers2Silver Knights4LSommaire du match
38 - 2025-11-13273Bears3Checkers2LSommaire du match
40 - 2025-11-15283Crunch4Checkers3LXSommaire du match
42 - 2025-11-17303Canucks3Checkers2LSommaire du match
45 - 2025-11-20323Comets3Checkers1LSommaire du match
47 - 2025-11-22338Condors6Checkers5LSommaire du match
49 - 2025-11-24357Checkers0Admirals3LSommaire du match
51 - 2025-11-26363Phantoms4Checkers2LSommaire du match
53 - 2025-11-28380Heat2Checkers4WSommaire du match
57 - 2025-12-02413Marlies2Checkers3WXSommaire du match
59 - 2025-12-04429Admirals5Checkers4LXSommaire du match
61 - 2025-12-06442Monsters7Checkers3LSommaire du match
62 - 2025-12-07454Sound Tigers6Checkers1LSommaire du match
65 - 2025-12-10478Checkers2Roadrunners5LSommaire du match
66 - 2025-12-11490Checkers2Eagles3LXXSommaire du match
68 - 2025-12-13505Checkers0Stars8LSommaire du match
70 - 2025-12-15514Checkers1Crunch4LSommaire du match
72 - 2025-12-17529Reign8Checkers1LSommaire du match
74 - 2025-12-19544Wolves5Checkers4LXXSommaire du match
75 - 2025-12-20554Thunderbirds6Checkers1LSommaire du match
78 - 2025-12-23581Checkers1Wolves6LSommaire du match
82 - 2025-12-27591Crunch4Checkers2LSommaire du match
84 - 2025-12-29607Bears9Checkers2LSommaire du match
85 - 2025-12-30618Rocket8Checkers3LSommaire du match
88 - 2026-01-02641Wolf Pack4Checkers3LSommaire du match
90 - 2026-01-04659Eagles4Checkers1LSommaire du match
92 - 2026-01-06672Checkers3Marlies6LSommaire du match
94 - 2026-01-08683Checkers0Rocket9LSommaire du match
96 - 2026-01-10704Checkers2Senators3LSommaire du match
98 - 2026-01-12716Checkers-Americans-
102 - 2026-01-16750Checkers-Wolves-
103 - 2026-01-17761Checkers-Bears-
105 - 2026-01-19773Barracuda-Checkers-
108 - 2026-01-22799Checkers-Moose-
110 - 2026-01-24817Checkers-Wild-
111 - 2026-01-25823Checkers-IceHogs-
113 - 2026-01-27834Roadrunners-Checkers-
115 - 2026-01-29852Checkers-Thunderbirds-
117 - 2026-01-31862Moose-Checkers-
119 - 2026-02-02876Americans-Checkers-
121 - 2026-02-04893Bruins-Checkers-
122 - 2026-02-05904Checkers-Crunch-
143 - 2026-02-26921Marlies-Checkers-
144 - 2026-02-27930Americans-Checkers-
146 - 2026-03-01948Checkers-Sound Tigers-
148 - 2026-03-03961Checkers-Comets-
150 - 2026-03-05978Checkers-Monsters-
151 - 2026-03-06983Checkers-Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101016Griffins-Checkers-
157 - 2026-03-121031Monsters-Checkers-
160 - 2026-03-151062Checkers-Firebirds-
162 - 2026-03-171074Checkers-Canucks-
164 - 2026-03-191089Checkers-Condors-
165 - 2026-03-201097Checkers-Heat-
169 - 2026-03-241123Firebirds-Checkers-
171 - 2026-03-261140Wild-Checkers-
173 - 2026-03-281153Checkers-Sound Tigers-
174 - 2026-03-291167Checkers-Wolf Pack-
176 - 2026-03-311181Senators-Checkers-
178 - 2026-04-021193Bruins-Checkers-
180 - 2026-04-041211Checkers-Penguins-
181 - 2026-04-051223Checkers-Penguins-
183 - 2026-04-071233Checkers-Rocket-
185 - 2026-04-091249Checkers-Senators-
187 - 2026-04-111270Checkers-Marlies-
189 - 2026-04-131283Wolf Pack-Checkers-
191 - 2026-04-151303Griffins-Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance73,20148,554
Assistance PCT93.85%93.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 4683 - 93.66% 143,660$3,735,168$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,371,635$ 1,537,500$ 1,537,500$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 869,048$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,154,905$ 96 13,148$ 1,262,208$




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