Connexion

Checkers
GP: 44 | W: 22 | L: 17 | OTL: 5 | P: 49
GF: 118 | GA: 103 | PP%: 21.12% | PK%: 77.71%
DG: Marc-André Gouin | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #542 vs Wolves
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Centre de jeu
Gulls
23-18-4, 50pts
1
FINAL
3 Checkers
22-17-5, 49pts
Team Stats
W1SéquenceW3
15-6-1Fiche domicile14-8-1
8-12-3Fiche domicile8-9-4
6-4-0Derniers 10 matchs6-3-1
2.51Buts par match 2.68
2.47Buts contre par match 2.34
25.00%Pourcentage en avantage numérique21.12%
82.31%Pourcentage en désavantage numérique77.71%
Wolves
19-25-1, 39pts
2
FINAL
3 Checkers
22-17-5, 49pts
Team Stats
L3SéquenceW3
10-12-0Fiche domicile14-8-1
9-13-1Fiche domicile8-9-4
4-6-0Derniers 10 matchs6-3-1
2.89Buts par match 2.68
3.20Buts contre par match 2.34
19.74%Pourcentage en avantage numérique21.12%
75.00%Pourcentage en désavantage numérique77.71%
Checkers
22-17-5, 49pts
2025-03-15
Wolves
19-25-1, 39pts
Statistiques d’équipe
W3SéquenceL3
14-8-1Fiche domicile10-12-0
8-9-4Fiche visiteur9-13-1
6-3-110 derniers matchs4-6-0
2.68Buts par match 2.89
2.34Buts contre par match 2.89
21.12%Pourcentage en avantage numérique19.74%
77.71%Pourcentage en désavantage numérique75.00%
Stars
25-14-6, 56pts
2025-03-17
Checkers
22-17-5, 49pts
Statistiques d’équipe
W1SéquenceW3
9-9-4Fiche domicile14-8-1
16-5-2Fiche visiteur8-9-4
6-1-310 derniers matchs6-3-1
3.04Buts par match 2.68
2.78Buts contre par match 2.68
21.02%Pourcentage en avantage numérique21.12%
79.89%Pourcentage en désavantage numérique77.71%
Checkers
22-17-5, 49pts
2025-03-19
Crunch
29-11-5, 63pts
Statistiques d’équipe
W3SéquenceL1
14-8-1Fiche domicile15-7-1
8-9-4Fiche visiteur14-4-4
6-3-110 derniers matchs7-2-1
2.68Buts par match 2.78
2.34Buts contre par match 2.78
21.12%Pourcentage en avantage numérique15.75%
77.71%Pourcentage en désavantage numérique78.35%
Meneurs d'équipe
Nico SturmButs
Nico Sturm
20
Logan StanleyPasses
Logan Stanley
25
Nico SturmPoints
Nico Sturm
39
Logan StanleyPlus/Moins
Logan Stanley
15
Calvin PickardVictoires
Calvin Pickard
22
Pourcentage d’arrêts
Olivier Rodrigue
0.968

Statistiques d’équipe
Buts pour
118
2.68 GFG
Tirs pour
1313
29.84 Avg
Pourcentage en avantage numérique
21.1%
34 GF
Début de zone offensive
41.9%
Buts contre
103
2.34 GAA
Tirs contre
1144
26.00 Avg
Pourcentage en désavantage numérique
77.7%%
39 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralMarc-André Gouin
EntraîneurMartin St. Louis
DivisionNorth Division
ConférenceConférence EST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 70
Espoirs19


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
1Max Pacioretty0X99.007345787083858975507664667091810407203714,000,000$
2Nico Sturm0X100.00744591738485847194686572707565040710301750,000$
3Ryan Carpenter0XX100.00734092747882877172676571708373040710351775,000$
4MacKenzie Entwistle0XX100.00827068748581817168666571706555040700261894,167$
5Max Jones0XX100.00815570728782817350706567707565040700282894,167$
6Nicolas Deslauriers0XX100.009592607083768968506361706686760406903521,775,000$
7Benoit-Olivier Groulx0X100.00784581738282756769626070676050040680261775,000$
8Thomas Bordeleau0XX98.00614578787585706975656665716050040680243925,000$
9Colin White0XX100.006840827278787866586060666680700406702921,200,000$
10Anthony Richard0XX100.00564367716169676545646360665550040630292775,000$
11Scott Perunovich0X96.006445877673847570407660736960500407102712,175,000$
12Haydn Fleury0X99.00634577728485776840646271677868040700292762,500$
13Logan Stanley0X97.00687162709383736840616272676555040700272900,000$
14Logan Mailloux (R)0X100.00665557677265636840656468665050040650222894,167$
15Corey Schueneman0X100.00594272656370686340615567615850040630301775,000$
16Nick Blankenburg0X100.00564270725865625940555467625450040610272825,000$
Rayé
1Luke Glendening0XXX95.007855747573839171866170767286760407203611,500,000$
2Nicolas Aube-Kubel0X95.008545847481838472507066717175650407202911,225,000$
3Lias Andersson0XX100.00604367686366646562636160655350040620272750,000$
4Elmer Soderblom0XX100.00704074577864626343605760595050040600242925,000$
5Alex Beaucage0X100.00614072646561585640525154575050040560241925,000$
6Maxim Cajkovic0X100.00614070626560575540515153565150040550251925,000$
7Xavier Ouellet0X99.46555466576360595740575562546961040590311762,500$
MOYENNE D’ÉQUIPE99.0469497470757574675463616766665904066
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
1Calvin Pickard0100.0080808380837878777980738578040780332762,500$
2Olivier Rodrigue0100.0074646861697074707270625150040680251910,833$
Rayé
1Keith Petruzzelli0100.0070625865646263586364555350040620271817,500$
MOYENNE D’ÉQUIPE100.007569706972707268717163635904069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin St. Louis8078807878751CAN502750,000$


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
1Nico SturmCheckers (FLA)C44201939840401231455311013.79%1384419.2054922133000052263.17%97200000.9200000241
2Luke GlendeningCheckers (FLA)C/LW/RW431418321210068105120339211.67%877718.09156104300051651161.16%75700000.8201000442
3Logan StanleyCheckers (FLA)D4452530156125105477023497.14%55104823.834913401360000131200%000000.5700113302
4Thomas BordeleauCheckers (FLA)C/LW44101828-21152112612133898.26%385819.5031114281440002262059.89%104700000.6513001124
5Max PaciorettyCheckers (FLA)LW441116271240558014238857.75%390220.52661232134000084054.43%7900000.6002000314
6Scott PerunovichCheckers (FLA)D4432427730059745821455.17%56108624.70257321300000132200%000000.5000000012
7Max JonesCheckers (FLA)LW/RW441114251144010074101266710.89%778117.770001150001743046.67%4500000.6401000012
8Nicolas Aube-KubelCheckers (FLA)RW39910190340827310843828.33%781220.83461020970001212150.59%8500000.4713000032
9Haydn FleuryCheckers (FLA)D4461218832082416815448.82%50104123.66448411350000143200%000000.3500000101
10Colin WhiteCheckers (FLA)C/RW435121780033407815536.41%681418.94257121180000540042.86%8400000.4201000002
11MacKenzie EntwistleCheckers (FLA)C/LW448715932070518423529.52%453012.070001100071200050.00%3400000.5701000001
12Anthony RichardCheckers (FLA)LW/RW36481242010375021428.00%750314.00213121030000201033.33%3000000.4802000010
13Logan MaillouxCheckers (FLA)D373912938085304525276.67%4984922.9615622114000098010%000000.2800000011
14Ryan CarpenterCheckers (FLA)C/RW4429115205436018353.33%54299.7502212430000830061.09%44200000.5101000000
15Nicolas DeslauriersCheckers (FLA)LW/RW444486255652730153813.33%33026.8600000000000061.11%1800000.5300100010
16Corey SchuenemanCheckers (FLA)D421676300682685812.50%3670316.75011224000060000%000000.2000000011
17Thomas ChabotPanthersD1033200201050%12424.770111300001000%000002.4200000010
18Nick BlankenburgCheckers (FLA)D391234240282011559.09%2544611.450001300007000%000000.1300000000
19Lias AnderssonCheckers (FLA)C/LW7000020003100%0162.290000200002000%30000000000000
20Xavier OuelletCheckers (FLA)D14000-260550000%61087.77000012000013000%00000000000000
21Benoit-Olivier GroulxCheckers (FLA)C31000000000000%010.040000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne77211721633311141135983102213034139288.98%3441288516.69346599289139800016117321559.93%359600000.52215214142125
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
1Calvin PickardCheckers (FLA)44221750.9112.302579679911120200.80015440740
2Olivier RodrigueCheckers (FLA)20000.9680.75800013101100044000
Statistiques d’équipe totales ou en moyenne46221750.9132.262660671001143031154444740


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 BeaucageCheckers (FLA)RW242000-07-25CANNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Anthony RichardCheckers (FLA)LW/RW291995-12-20CANNo186 Lbs5 ft10NoNoN/ANoNo22024-08-23FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Benoit-Olivier GroulxCheckers (FLA)C261999-02-06FRANo198 Lbs6 ft2NoNoN/ANoNo12024-08-23FalseFalsePro & Farm775,000$0$0$No---------------------------
Calvin PickardCheckers (FLA)G331991-04-15CANNo206 Lbs6 ft1NoNoN/AYesYes22024-08-23FalseFalsePro & Farm762,500$0$0$No762,500$--------762,500$--------No--------Lien NHL
Colin WhiteCheckers (FLA)C/RW291996-01-30USANo194 Lbs6 ft1NoNoTrade2024-03-13YesYes2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien NHL
Corey SchuenemanCheckers (FLA)D301994-09-02USANo196 Lbs6 ft0NoNoN/ANoNo12024-08-23FalseFalsePro & Farm775,000$0$0$No---------------------------
Elmer SoderblomCheckers (FLA)C/LW242000-07-05SWENo255 Lbs6 ft8NoNoTrade2024-06-28NoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Haydn FleuryCheckers (FLA)D291995-07-08CANNo207 Lbs6 ft4NoNoN/AYesYes2FalseFalsePro & Farm762,500$0$0$No762,500$--------762,500$--------No--------Lien NHL
Keith PetruzzelliCheckers (FLA)G271998-02-09USANo185 Lbs6 ft5NoNoTrade2024-03-13NoNo1FalseFalsePro & Farm817,500$0$0$No---------------------------
Lias AnderssonCheckers (FLA)C/LW271997-10-13SWENo190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Logan MaillouxCheckers (FLA)D222002-04-15CANYes220 Lbs6 ft3NoNoProspectNoNo22024-08-23FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------
Logan StanleyCheckers (FLA)D271997-05-26CANNo231 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien NHL
Luke GlendeningCheckers (FLA)C/LW/RW361988-04-28USANo190 Lbs5 ft10NoNoN/AYesYes1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien NHL
MacKenzie EntwistleCheckers (FLA)C/LW261998-07-14CANNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------Lien NHL
Max JonesCheckers (FLA)LW/RW281997-02-17USANo216 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------Lien NHL
Max PaciorettyCheckers (FLA)LW371987-11-20USANo217 Lbs6 ft2NoNoAssign ManuallyYesYes12024-08-23FalseFalsePro & Farm4,000,000$0$0$No---------------------------Lien NHL
Maxim CajkovicCheckers (FLA)RW252000-01-03SLVNo201 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Nick BlankenburgCheckers (FLA)D271997-05-12USANo178 Lbs5 ft9NoNoTrade2024-07-12NoNo2FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------
Nico SturmCheckers (FLA)C301994-05-03DEUNo209 Lbs6 ft3NoNoTrade2024-03-14YesYes1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Nicolas Aube-KubelCheckers (FLA)RW291995-05-10CANNo207 Lbs6 ft0NoNoTrade2024-07-07NoNo12024-08-23FalseFalsePro & Farm1,225,000$0$0$No---------------------------Lien NHL
Nicolas DeslauriersCheckers (FLA)LW/RW351990-02-22CANNo218 Lbs6 ft1NoNoN/AYesYes2FalseFalsePro & Farm1,775,000$0$0$No1,775,000$--------1,775,000$--------No--------Lien NHL
Olivier RodrigueCheckers (FLA)G251999-07-06CANNo175 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm910,833$0$0$No---------------------------
Ryan CarpenterCheckers (FLA)C/RW351990-01-18USANo198 Lbs6 ft1NoNoAssign ManuallyYesYes12024-11-11FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Scott PerunovichCheckers (FLA)D271997-08-18USANo175 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm2,175,000$0$0$No---------------------------
Thomas BordeleauCheckers (FLA)C/LW242001-01-03USANo175 Lbs5 ft10NoNoTrade2024-03-14NoNo32024-08-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Xavier OuelletCheckers (FLA)D311993-07-29CANNo196 Lbs6 ft0NoNoN/AYesYes12024-08-23FalseFalsePro & Farm762,500$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2628.54201 Lbs6 ft11.501,099,936$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max PaciorettyThomas Bordeleau38122
2Max JonesNico Sturm32122
3MacKenzie EntwistleAnthony Richard20122
4Ryan CarpenterNicolas Deslauriers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyLogan Mailloux40122
2Scott PerunovichHaydn Fleury30122
3Logan StanleyScott Perunovich20122
4Scott PerunovichLogan Stanley10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Thomas BordeleauRyan Carpenter60122
2Anthony RichardNico SturmMax Jones40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyLogan Mailloux60122
2Scott PerunovichHaydn Fleury40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nico SturmMacKenzie Entwistle60122
2Ryan CarpenterMax Jones40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichHaydn Fleury60122
2Logan StanleyLogan Mailloux40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Thomas Bordeleau60122Scott PerunovichHaydn Fleury60122
2Ryan Carpenter40122Logan StanleyLogan Mailloux40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Thomas BordeleauMax Jones60122
2Nico SturmRyan Carpenter40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichHaydn Fleury60122
2Logan StanleyNick Blankenburg40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony RichardThomas BordeleauScott PerunovichLogan Stanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas DeslauriersMax JonesScott PerunovichHaydn Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Thomas Bordeleau, Nico Sturm, Ryan CarpenterNico Sturm, Ryan CarpenterRyan Carpenter
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Logan Stanley, Haydn Fleury, Scott PerunovichScott PerunovichScott Perunovich, Logan Stanley
Tirs de pénalité
Anthony Richard, Thomas Bordeleau, Nico Sturm, , Ryan Carpenter
Gardien
#1 : Calvin Pickard, #2 : Olivier Rodrigue
Lignes d’attaque personnalisées en prolongation
Thomas Bordeleau, Nico Sturm, Anthony Richard, , , Max Pacioretty, Max Pacioretty, Ryan Carpenter, MacKenzie Entwistle, Max Jones, Nicolas Deslauriers
Lignes de défense personnalisées en prolongation
Scott Perunovich, Haydn Fleury, Logan Stanley, Nick Blankenburg, Logan Mailloux


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
1Admirals1000010045-1000000000001000010045-110.5004711004836332274424134343929108253266.67%4175.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
2Americans421000011073220000007252010000135-250.625101727014836332114442413434399533438617529.41%18288.89%0875149058.72%870141461.53%41165462.84%10907531002331569287
3Bruins22000000844110000005321100000031241.000816240048363325044241343439571518499444.44%9277.78%0875149058.72%870141461.53%41165462.84%10907531002331569287
4Comets1010000023-11010000023-10000000000000.0002460048363323444241343439307812200.00%40100.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
5Crunch1010000012-11010000012-10000000000000.000123004836332414424134343935914166116.67%7185.71%0875149058.72%870141461.53%41165462.84%10907531002331569287
6Eagles20100100610-41010000036-31000010034-110.2506121800483633267442413434394613124213215.38%4250.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
7Firebirds1010000023-11010000023-10000000000000.0002350048363323544241343439199822300.00%4250.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
8Griffins21100000770110000004221010000035-220.50071219004836332454424134343968203438300.00%11372.73%0875149058.72%870141461.53%41165462.84%10907531002331569287
9Gulls4120000168-2211000004312010000125-330.37561016004836332107442413434399327428410110.00%16568.75%0875149058.72%870141461.53%41165462.84%10907531002331569287
10IceHogs422000001486211000007342110000075240.50014274101483633214044241343439124313611117211.76%15566.67%0875149058.72%870141461.53%41165462.84%10907531002331569287
11Manitoba Moose22000000624110000002021100000042241.000611170148363326144241343439451020596116.67%10190.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
12Marlies3210000014113110000008442110000067-140.66714264000483633283442413434398436475810440.00%15380.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
13Monsters320001008621000010034-12200000052350.8338142201483633210644241343439641912638112.50%6350.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
14Penguins22000000835110000003121100000052341.000815230048363324844241343439622325438225.00%90100.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
15Reign32100000532110000002022110000033040.667591401483633296442413434396815226216425.00%11372.73%0875149058.72%870141461.53%41165462.84%10907531002331569287
16Rocket11000000211110000002110000000000021.000235004836332214424134343916510242150.00%50100.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
17Senators11000000202110000002020000000000021.00023501483633228442413434393091230200.00%60100.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
18Silver Knights1010000023-1000000000001010000023-100.00024600483633229442413434392042263133.33%10100.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
19Stars2020000016-51010000013-21010000003-300.0001230048363324844241343439521326567114.29%12375.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
20Wolf Pack1010000035-2000000000001010000035-200.00035810483633241442413434393264235120.00%2150.00%0875149058.72%870141461.53%41165462.84%10907531002331569287
21Wolves21100000330211000003300000000000020.50035800483633258442413434394619835700.00%3166.67%0875149058.72%870141461.53%41165462.84%10907531002331569287
22Wranglers10000010431100000104310000000000021.0004610004836332344424134343929106174125.00%3166.67%0875149058.72%870141461.53%41165462.84%10907531002331569287
Total442117003121181031523138001106546192189002025357-4490.55711821333116483633213134424134343911443434179811613421.12%1753977.71%0875149058.72%870141461.53%41165462.84%10907531002331569287
_Since Last GM Reset442117003121181031523138001106546192189002025357-4490.55711821333116483633213134424134343911443434179811613421.12%1753977.71%0875149058.72%870141461.53%41165462.84%10907531002331569287
_Vs Conference261490010270541614104000003920191245001023134-3310.5967012619604483633273544241343439676216277611891921.35%1132181.42%0875149058.72%870141461.53%41165462.84%10907531002331569287
_Vs Division156700002333038530000021129714000021218-6140.46733599202483633243044241343439380109157361531018.87%661577.27%0875149058.72%870141461.53%41165462.84%10907531002331569287

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4449W31182133311313114434341798116
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4421170312118103
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2313801106546
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
218902025357
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1613421.12%1753977.71%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
442413434394836332
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
875149058.72%870141461.53%41165462.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10907531002331569287


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
4 - 2024-12-2310IceHogs3Checkers1LSommaire du match
5 - 2024-12-2419Checkers1Gulls2LXXSommaire du match
7 - 2024-12-2636Americans0Checkers3WSommaire du match
9 - 2024-12-2848Americans2Checkers4WSommaire du match
11 - 2024-12-3060Checkers3Reign1WSommaire du match
13 - 2025-01-0171Checkers0Americans1LXXSommaire du match
15 - 2025-01-0383Checkers3Marlies2WSommaire du match
17 - 2025-01-0594IceHogs0Checkers6WSommaire du match
19 - 2025-01-07106Penguins1Checkers3WSommaire du match
21 - 2025-01-09119Firebirds3Checkers2LSommaire du match
23 - 2025-01-11130Checkers3Americans4LSommaire du match
25 - 2025-01-13144Checkers5Penguins2WSommaire du match
27 - 2025-01-15156Reign0Checkers2WSommaire du match
29 - 2025-01-17166Checkers3Marlies5LSommaire du match
32 - 2025-01-20181Rocket1Checkers2WSommaire du match
34 - 2025-01-22195Stars3Checkers1LSommaire du match
35 - 2025-01-23209Checkers0Reign2LSommaire du match
37 - 2025-01-25218Crunch2Checkers1LSommaire du match
39 - 2025-01-27231Checkers2Silver Knights3LSommaire du match
41 - 2025-01-29240Checkers3Wolf Pack5LSommaire du match
43 - 2025-01-31251Bruins3Checkers5WSommaire du match
45 - 2025-02-02266Griffins2Checkers4WSommaire du match
47 - 2025-02-04277Checkers3Monsters2WSommaire du match
49 - 2025-02-06292Manitoba Moose0Checkers2WSommaire du match
51 - 2025-02-08305Checkers4Admirals5LXSommaire du match
52 - 2025-02-09315Monsters4Checkers3LXSommaire du match
55 - 2025-02-12331Checkers1Gulls3LSommaire du match
56 - 2025-02-13339Senators0Checkers2WSommaire du match
58 - 2025-02-15356Gulls2Checkers1LSommaire du match
60 - 2025-02-17366Checkers3Bruins1WSommaire du match
62 - 2025-02-19380Eagles6Checkers3LSommaire du match
64 - 2025-02-21390Checkers2IceHogs3LSommaire du match
66 - 2025-02-23407Checkers3Griffins5LSommaire du match
67 - 2025-02-24413Wranglers3Checkers4WXXSommaire du match
69 - 2025-02-26428Marlies4Checkers8WSommaire du match
71 - 2025-02-28441Checkers5IceHogs2WSommaire du match
73 - 2025-03-02449Checkers3Eagles4LXSommaire du match
75 - 2025-03-04461Comets3Checkers2LSommaire du match
77 - 2025-03-06476Checkers4Manitoba Moose2WSommaire du match
78 - 2025-03-07485Wolves1Checkers0LSommaire du match
79 - 2025-03-08495Checkers0Stars3LSommaire du match
82 - 2025-03-11510Checkers2Monsters0WSommaire du match
83 - 2025-03-12518Gulls1Checkers3WSommaire du match
84 - 2025-03-13531Wolves2Checkers3WSommaire du match
86 - 2025-03-15542Checkers-Wolves-
88 - 2025-03-17556Stars-Checkers-
90 - 2025-03-19570Checkers-Crunch-
91 - 2025-03-20580Bruins-Checkers-
93 - 2025-03-22593Checkers-Comets-
94 - 2025-03-23604Stars-Checkers-
96 - 2025-03-25612Checkers-Firebirds-
98 - 2025-03-27628Admirals-Checkers-
99 - 2025-03-28634Checkers-Senators-
101 - 2025-03-30653Checkers-Comets-
102 - 2025-03-31659Penguins-Checkers-
104 - 2025-04-02670Checkers-Crunch-
105 - 2025-04-03683Admirals-Checkers-
108 - 2025-04-06700Silver Knights-Checkers-
109 - 2025-04-07706Checkers-Senators-
110 - 2025-04-08718Checkers-Stars-
112 - 2025-04-10729Condors-Checkers-
113 - 2025-04-11741Checkers-Wolf Pack-
115 - 2025-04-13754Condors-Checkers-
117 - 2025-04-15767Checkers-Eagles-
118 - 2025-04-16774Checkers-Condors-
119 - 2025-04-17786Comets-Checkers-
121 - 2025-04-19800Manitoba Moose-Checkers-
123 - 2025-04-21820Checkers-Admirals-
124 - 2025-04-22826Firebirds-Checkers-
127 - 2025-04-25844Rocket-Checkers-
130 - 2025-04-28866Silver Knights-Checkers-
131 - 2025-04-29873Checkers-Wranglers-
133 - 2025-05-01889Checkers-Americans-
134 - 2025-05-02894IceHogs-Checkers-
136 - 2025-05-04911Checkers-Griffins-
137 - 2025-05-05919IceHogs-Checkers-
139 - 2025-05-07930Checkers-Rocket-
140 - 2025-05-08940Wolf Pack-Checkers-
141 - 2025-05-09944Checkers-Rocket-
144 - 2025-05-12964Rocket-Checkers-
146 - 2025-05-14978Checkers-Gulls-
147 - 2025-05-15982Checkers-Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
18 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 28,598,332$ 28,598,332$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 63 198,300$ 12,492,900$




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