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Connexion

Checkers
GP: 86 | W: 35 | L: 37 | OTL: 14 | P: 84
GF: 187 | GA: 219 | PP%: 26.19% | PK%: 69.95%
DG: Mikkel Aagaard | Morale : 33 | Moyenne d’équipe : 58

Centre de jeu
Checkers
35-37-14, 84pts
3
4 Americans
50-26-10, 110pts
Team Stats
W1SéquenceW2
21-15-7Fiche domicile27-9-7
14-22-7Fiche domicile23-17-3
3-6-1Derniers 10 matchs7-2-1
2.17Buts par match 3.09
2.55Buts contre par match 2.72
26.19%Pourcentage en avantage numérique29.96%
69.95%Pourcentage en désavantage numérique70.31%
Checkers
35-37-14, 84pts
2
0 Heat
45-24-17, 107pts
Team Stats
W1SéquenceL1
21-15-7Fiche domicile24-10-9
14-22-7Fiche domicile21-14-8
3-6-1Derniers 10 matchs2-5-3
2.17Buts par match 2.59
2.55Buts contre par match 2.41
26.19%Pourcentage en avantage numérique30.35%
69.95%Pourcentage en désavantage numérique79.05%
Meneurs d'équipe
Buts
Aleksanteri Kaskimaki
35
Passes
Aleksanteri Kaskimaki
44
Points
Aleksanteri Kaskimaki
79
Brian PinhoPlus/Moins
Brian Pinho
14
Victoires
Matthew Murray
25
Pourcentage d’arrêts
Matthew Murray
0.875

Statistiques d’équipe
Buts pour
187
2.17 GFG
Tirs pour
1325
15.41 Avg
Pourcentage en avantage numérique
26.2%
44 GF
Début de zone offensive
34.6%
Buts contre
219
2.55 GAA
Tirs contre
1547
17.99 Avg
Pourcentage en désavantage numérique
69.9%%
55 GA
Début de la zone défensive
39.2%
Informations de l'équipe

Directeur généralMikkel Aagaard
EntraîneurBob Murray
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,116
Billets de saison1,500


Informations de la formation

Équipe Pro25
Équipe Mineure26
Limite contact 51 / 100
Espoirs85


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
1Aatu Raty (R)X100.008946887775579159926171592551516768640231902,500$
2Brian PinhoX100.0078719569717780658161676563464765516403112,000,000$
3Aleksanteri Kaskimaki (R)X100.0078709569737478637563616354474760696302231,340,000$
4Brayden LowX100.0067438980767462438872676165464650376203212,000,000$
5Graeme ClarkeX100.0075708568725554625059626058474759545902521,260,000$
6Josiah SlavinX100.0078748865747581555048596053474757675902721,065,000$
7Lane PedersonX100.0071707064714845647960646060474759465802811,172,000$
8C.J. Smith (R)XXX100.0073669165665857617860576154464660365803112,000,000$
9Brett HarrisonX100.0078729266746264536851516148474755325702331,106,000$
10Tyce ThompsonX100.0069715965717682515049495548474752595602621,007,000$
11Jake Schmaltz (R)XXX100.0075728682744848516538616058474756415602531,354,000$
12Jack Beck (R)X100.0073649982663531515055436042464652475402331,273,000$
13Lucas Mercuri (R)X100.0082828681834749435537436242454552285402431,338,000$
14Ty Nelson (R)X100.0072698069728087542549475940474753726102231,309,000$
15Topi NiemelaX100.0074679268707177532549426138474752516002431,342,000$
16Vsevolod Komarov (R)X100.0075786666807684512544435738474750586002231,286,000$
17Ryan Mast (R)X100.0082828664845558452535386137474648415702331,285,000$
18Jack Peart (R)X100.0075718265746469452536395837474747625702331,275,000$
19Brendan LessX100.0078709980703230402527385937464647275302812,000,000$
Rayé
1Trevor Janicke (R)X100.0079729560723836465043446242444451205002500$
2Matt Anderson (R)X100.0072707780703432472539395937444450205402700$
3Christian Krygier (R)X100.0075767761763634472538385937464547195202631,322,000$
MOYENNE D’ÉQUIPE100.00766985707358605251495160464747544658
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
1Matthew Murray100.006440507470677175747230464663816402811,000,000$
2Damian Clara (R)100.004540508946884348888145454560356002131,291,000$
Rayé
1Jesper Vikman (R)100.00444050724589454890814545445942590242858,000$
MOYENNE D’ÉQUIPE100.0051405078548153578478404545615361
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Murray81745567646067CAN6911,000,000$


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
1Aleksanteri KaskimakiCheckers (FLO)C86354479848401041412055512517.07%29193922.5661218311282025484658.77%2284127110.8111251688
2Brian PinhoCheckers (FLO)C6817304714272587118117357014.53%10118017.3521012869000006158.91%7522919000.8003221325
3Josiah SlavinCheckers (FLO)LW86252146-295040124149124337320.16%32185621.5895141711122481354343.06%5692428000.5047224374
4Lane PedersonCheckers (FLO)C801823411158101088777356023.38%16128416.061345550000232261.19%2191315000.6401101224
5Graeme ClarkeCheckers (FLO)RW86132740-244125119138151451008.61%29175120.364913271260113814046.05%1524317000.4649032324
6Ty NelsonCheckers (FLO)D8672229-660301211429244407.61%88220025.597411191470333140110%03560000.2600105101
7Vsevolod KomarovCheckers (FLO)D8672229-2194301411287428309.46%62214524.94561113147000196100%01846000.2700231100
8Aatu RatyCheckers (FLO)C5210182812010734480245712.50%992017.7035817561232293161.17%2062611000.6100002201
9Matias MaccelliPanthersLW/RW31101727320313654163918.52%559019.041346270000203047.84%2551711000.9100000321
10Topi NiemelaCheckers (FLO)D865192413315951486123248.20%72206123.972245880001135010%02248000.2300012202
11Tyce ThompsonCheckers (FLO)RW8661420-14802015914650122712.00%22151017.562681510803351070045.96%4831425000.2627211030
12Jack PeartCheckers (FLO)D8621517-462201371364716214.26%66203223.631343100000192000%01252000.1700004002
13Jake SchmaltzCheckers (FLO)C/LW/RW817916101210463834182020.59%86187.631235220000150158.10%210174000.5202002012
14Brett HarrisonCheckers (FLO)C756713-142010957438113515.79%18111214.8300004000001048.39%621818000.2300020101
15C.J. SmithCheckers (FLO)C/LW/RW6810313-4140717045162122.22%4101214.890005151011382050.00%161812100.2600000140
16Brayden LowCheckers (FLO)LW68527-62060655411279.26%1085412.5600001101461258.82%171811000.1601000130
17Christian KrygierCheckers (FLO)D36022-329512203010%544912.49000114000023000%016000.0900100000
18Lucas MercuriCheckers (FLO)C68022-40016144110%11932.85022225000000046.15%3903000.2100000000
19Daylan KueflerPanthersLW18011-3207140030%21649.140000100001000%220000.1200000000
20Ryan MastCheckers (FLO)D70011-66031439210%1285812.2700004011123000%055000.0200000000
21Jack BeckCheckers (FLO)LW771012009940425.00%01692.200000000000000%221000.1200000001
22Brett DavisPanthersLW9000000311000%0556.210000000002000%00000000000000
23Brandon GignacPanthersC16000-100310000%0140.9100000000000050.00%20000000000000
24Luke HenmanPanthersC18000-3001491120%01096.1000000000000046.15%260000000000000
25Samuel LabergePanthersLW18000-220330000%0482.67000000000000100.00%10000000000000
26Brendan LessCheckers (FLO)D5900010010100100%24607.800000100001000%00300000000000
27Dominik BadinkaPanthersD18000000130000%11025.680000000001000%00100000000000
Statistiques d’équipe totales ou en moyenne1618184299483-9366229016801787132542778113.89%5032569515.884472116179126071219351026321852.39%3241375423210.381131131926293436
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
1Matthew MurrayCheckers (FLO)61252690.8752.153621281301042550210.54522610412
2Damian ClaraCheckers (FLO)206740.8203.2310790058322149000.66761832000
3Jesper VikmanCheckers (FLO)103410.8692.63479012116088100.3333740010
4Dylan GarandPanthers21000.8645.463300322110000014000
Statistiques d’équipe totales ou en moyenne933537140.8632.44521329212154679831318686422


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 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
Aatu RatyCheckers (FLO)C232002-11-14FINYes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm902,500$0$0$No---------------------------Lien
Aleksanteri KaskimakiCheckers (FLO)C222004-02-06FINYes193 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,340,000$0$0$No1,340,000$1,340,000$-------1,340,000$1,340,000$-------NoNo-------Lien
Brayden LowCheckers (FLO)LW321994-05-08CANNo209 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Brendan LessCheckers (FLO)D281998-04-24USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Brett HarrisonCheckers (FLO)C232003-06-07CANNo190 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,106,000$0$0$No1,106,000$1,106,000$-------1,106,000$1,106,000$-------NoNo-------Lien
Brian PinhoCheckers (FLO)C311995-05-11USANo190 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
C.J. SmithCheckers (FLO)C/LW/RW311994-12-01USAYes183 Lbs5 ft11NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Christian KrygierCheckers (FLO)D262000-05-05USAYes201 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,322,000$0$0$No1,322,000$1,322,000$-------1,322,000$1,322,000$-------NoNo-------Lien
Damian ClaraCheckers (FLO)G212005-01-13ITAYes214 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,291,000$0$0$No1,291,000$1,291,000$-------1,291,000$1,291,000$-------NoNo-------Lien
Graeme ClarkeCheckers (FLO)RW252001-04-24USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,260,000$0$0$No1,260,000$--------1,260,000$--------No--------Lien
Jack BeckCheckers (FLO)LW232003-04-12ONYes174 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,273,000$0$0$No1,273,000$1,273,000$-------1,273,000$1,273,000$-------NoNo-------Lien
Jack PeartCheckers (FLO)D232003-05-15USAYes195 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,275,000$0$0$No1,275,000$1,275,000$-------1,275,000$1,275,000$-------NoNo-------Lien
Jake SchmaltzCheckers (FLO)C/LW/RW252001-04-24USAYes190 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,354,000$0$0$No1,354,000$1,354,000$-------1,354,000$1,354,000$-------NoNo-------Lien
Jesper VikmanCheckers (FLO)G242002-03-11SWEYes179 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm858,000$0$0$No858,000$--------858,000$--------No--------Lien
Josiah SlavinCheckers (FLO)LW271998-12-31USANo197 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,065,000$0$0$No1,065,000$--------1,065,000$--------No--------Lien
Lane PedersonCheckers (FLO)C281997-08-04CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,172,000$0$0$No---------------------------Lien / Lien NHL
Lucas MercuriCheckers (FLO)C242002-03-07CANYes220 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,338,000$0$0$No1,338,000$1,338,000$-------1,338,000$1,338,000$-------NoNo-------Lien
Matt AndersonCheckers (FLO)D271999-04-11USAYes194 Lbs6 ft0NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Matthew MurrayCheckers (FLO)G281998-02-02ABNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12026-02-12FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Ryan MastCheckers (FLO)D232003-01-14USAYes217 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,285,000$0$0$No1,285,000$1,285,000$-------1,285,000$1,285,000$-------NoNo-------Lien
Topi NiemelaCheckers (FLO)D242002-03-25FINNo181 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,342,000$0$0$No1,342,000$1,342,000$-------1,342,000$1,342,000$-------NoNo-------Lien
Trevor JanickeCheckers (FLO)RW252000-12-25USAYes200 Lbs5 ft11NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Ty NelsonCheckers (FLO)D222004-03-30CANYes198 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,309,000$0$0$No1,309,000$1,309,000$-------1,309,000$1,309,000$-------NoNo-------Lien
Tyce ThompsonCheckers (FLO)RW261999-07-12CANNo193 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,007,000$0$0$No1,007,000$--------1,007,000$--------No--------Lien
Vsevolod KomarovCheckers (FLO)D222004-01-11RUSYes208 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.32195 Lbs6 ft12.041,231,420$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aleksanteri KaskimakiBrian PinhoAatu Raty40122
2Graeme ClarkeJosiah SlavinBrayden Low30122
3Josiah SlavinTyce ThompsonAleksanteri Kaskimaki20122
4Brayden LowAleksanteri KaskimakiGraeme Clarke10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty NelsonVsevolod Komarov40122
2Topi NiemelaJack Peart30122
3Jack PeartTopi Niemela20122
4Ty NelsonVsevolod Komarov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aleksanteri KaskimakiAatu RatyGraeme Clarke60122
2Josiah SlavinBrian PinhoTyce Thompson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty NelsonVsevolod Komarov60122
2Jack PeartTopi Niemela40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyce ThompsonJosiah Slavin60122
2Aleksanteri KaskimakiGraeme Clarke40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty NelsonTopi Niemela60122
2Vsevolod KomarovJack Peart40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Graeme Clarke60122Topi NiemelaJack Peart60122
2Aleksanteri Kaskimaki40122Ty NelsonVsevolod Komarov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Aleksanteri KaskimakiJosiah Slavin60122
2Graeme ClarkeTyce Thompson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vsevolod KomarovTy Nelson60122
2Jack PeartTopi Niemela40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josiah SlavinGraeme ClarkeAleksanteri KaskimakiTy NelsonVsevolod Komarov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josiah SlavinGraeme ClarkeAleksanteri KaskimakiTy NelsonVsevolod Komarov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aleksanteri Kaskimaki, Graeme Clarke, Josiah SlavinAleksanteri Kaskimaki, Graeme ClarkeGraeme Clarke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Peart, Ty Nelson, Vsevolod KomarovVsevolod KomarovVsevolod Komarov, Jack Peart
Tirs de pénalité
Josiah Slavin, Graeme Clarke, Tyce Thompson, Brian Pinho, Aleksanteri Kaskimaki
Gardien
#1 : Matthew Murray, #2 : Damian Clara


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
1Admirals5200010210912000000235-23200010074370.7001019290138677218733964144964977225910513646.15%70100.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
2Americans52001101171523200000110822000110077080.80017294600386772181093964144964911541458613323.08%10190.00%1590110753.30%650125451.83%45883554.85%1435489157397622091094
3Barracuda2110000045-11010000013-21100000032120.50048120038677218393964144964953142639500.00%8362.50%0590110753.30%650125451.83%45883554.85%1435489157397622091094
4Bears20200000411-71010000005-51010000046-200.000481210386772182839641449649591810413266.67%5180.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
5Bruins21100000440110000003121010000013-220.50046100038677218413964144964940181248000%6350.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
6Canucks220000001248110000006331100000061541.00012213300386772185339641449649341422306233.33%10100.00%1590110753.30%650125451.83%45883554.85%1435489157397622091094
7Comets211000005321010000002-21100000051420.500571200386772181639641449649271119393266.67%2150.00%1590110753.30%650125451.83%45883554.85%1435489157397622091094
8Condors2020000025-31010000024-21010000001-100.0002350038677218233964144964944101347200.00%4175.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
9Crunch21100000321110000003031010000002-220.5003360138677218293964144964924122141300.00%3166.67%0590110753.30%650125451.83%45883554.85%1435489157397622091094
10Eagles5220100014131311010009632110000057-260.600142135003867721870396414496497516219512433.33%8537.50%0590110753.30%650125451.83%45883554.85%1435489157397622091094
11Griffins2020000038-51010000013-21010000025-300.00034700386772184039641449649331410438112.50%5340.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
12Gulls21100000532110000005231010000001-120.5005813003867721823396414496492541736200.00%6266.67%1590110753.30%650125451.83%45883554.85%1435489157397622091094
13Heat510011201511430001110121112100001030390.900152237023867721860396414496496416609012325.00%10370.00%1590110753.30%650125451.83%45883554.85%1435489157397622091094
14IceHogs2010100045-11010000013-21000100032120.5004610003867721837396414496492571033300.00%5420.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
15Islanders2020000027-51010000013-21010000014-300.0002240038677218413964144964950171532600.00%5340.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
16Marlies21100000330110000002021010000013-220.5003580138677218213964144964927226434250.00%8187.50%0590110753.30%650125451.83%45883554.85%1435489157397622091094
17Monsters21100000321110000003121010000001-120.5003580038677218183964144964920843622100.00%20100.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
18Moose51300001410-6210000013303030000017-630.300448013867721859396414496496920311101119.09%13469.23%0590110753.30%650125451.83%45883554.85%1435489157397622091094
19Penguins512010011115-42010100056-13110000169-350.5001118290138677218773964144964978296212710330.00%11645.45%0590110753.30%650125451.83%45883554.85%1435489157397622091094
20Phantoms32100000981211000006601100000032140.6679152400386772185139641449649743415527342.86%50100.00%1590110753.30%650125451.83%45883554.85%1435489157397622091094
21Reign3120000010100110000008442020000026-420.33310172700386772185039641449649923921469555.56%8362.50%0590110753.30%650125451.83%45883554.85%1435489157397622091094
22Roadrunners2010100078-1100010004311010000035-220.500712190038677218443964144964972710345120.00%5260.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
23Rocket3000020147-31000010012-12000010135-230.500471100386772184639641449649351214562150.00%2150.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
24Senators2010001045-1100000103211010000013-220.5004590038677218263964144964921161835200.00%4250.00%1590110753.30%650125451.83%45883554.85%1435489157397622091094
25Silver Knights3020010015-42020000014-31000010001-110.1671120038677218453964144964939182359100.00%4325.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
26Stars51300100918-92010010014-331200000814-630.3009142300386772187439641449649822022928225.00%11190.91%0590110753.30%650125451.83%45883554.85%1435489157397622091094
27Thunderbirds20200000511-61010000048-41010000013-200.000581300386772182739641449649701521389111.11%8187.50%0590110753.30%650125451.83%45883554.85%1435489157397622091094
28Wild3120000046-2211000004401010000002-220.3334590038677218623964144964999332961400.00%120100.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
29Wolf Pack21000100541110000002021000010034-130.750581301386772181739641449649168229200.00%20100.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
30Wolves21001000422110000001011000100032141.00048120138677218263964144964988657100.00%30100.00%0590110753.30%650125451.83%45883554.85%1435489157397622091094
Total86253707836187219-3243151504324105106-14310220351282113-31840.4881872994861938677218132539641449649154750366416801684426.19%1835569.95%7590110753.30%650125451.83%45883554.85%1435489157397622091094
_Since Last GM Reset86253707836187219-3243151504324105106-14310220351282113-31840.4881872994861938677218132539641449649154750366416801684426.19%1835569.95%7590110753.30%650125451.83%45883554.85%1435489157397622091094
_Vs Conference53142305425123157-342678042146975-627715012115482-28510.481123198321163867721882439641449649103731042810341303728.46%1193471.43%3590110753.30%650125451.83%45883554.85%1435489157397622091094
_Vs Division201010044254352-91043032141823-51067012112529-4411.0254371114133867721827439641449649332133133413341235.29%351168.57%2590110753.30%650125451.83%45883554.85%1435489157397622091094

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8684W118729948613251547503664168019
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8625377836187219
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4315154324105106
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
431022351282113
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1684426.19%1835569.95%7
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
3964144964938677218
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
590110753.30%650125451.83%45883554.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1435489157397622091094


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
18Checkers1Moose3LSommaire du match
217Heat5Checkers4LXSommaire du match
435Checkers3Penguins4LXXSommaire du match
547Americans4Checkers6WSommaire du match
772Eagles2Checkers5WSommaire du match
994Checkers2Admirals3LXSommaire du match
10106Checkers1Stars3LSommaire du match
11120Stars2Checkers0LSommaire du match
12131Penguins3Checkers4WXSommaire du match
13156Eagles2Checkers3WXSommaire du match
15166Checkers3Admirals1WSommaire du match
16191Heat3Checkers4WXXSommaire du match
17196Checkers1Penguins5LSommaire du match
18219Islanders3Checkers1LSommaire du match
19234Checkers0Eagles4LSommaire du match
20246Checkers2Rocket3LXSommaire du match
22257Wild3Checkers2LSommaire du match
24284Roadrunners3Checkers4WXSommaire du match
25294Checkers2Admirals0WSommaire du match
27311Admirals3Checkers2LXXSommaire du match
28326Checkers4Americans3WXSommaire du match
29345Condors4Checkers2LSommaire du match
30356Checkers1Senators3LSommaire du match
31372IceHogs3Checkers1LSommaire du match
32381Checkers5Eagles3WSommaire du match
33396Checkers2Reign3LSommaire du match
34416Crunch0Checkers3WSommaire du match
35427Checkers3IceHogs2WXSommaire du match
36444Checkers1Marlies3LSommaire du match
37459Phantoms4Checkers2LSommaire du match
39476Bears5Checkers0LSommaire du match
40494Monsters1Checkers3WSommaire du match
41511Checkers0Moose2LSommaire du match
42525Thunderbirds8Checkers4LSommaire du match
43538Checkers4Bears6LSommaire du match
44552Checkers1Bruins3LSommaire du match
45570Checkers0Moose2LSommaire du match
46580Admirals2Checkers1LXXSommaire du match
47599Bruins1Checkers3WSommaire du match
49622Checkers5Stars4WSommaire du match
50636Canucks3Checkers6WSommaire du match
51656Wolf Pack0Checkers2WSommaire du match
53673Checkers0Condors1LSommaire du match
54690Rocket2Checkers1LXSommaire du match
55707Checkers3Barracuda2WSommaire du match
56719Checkers0Monsters1LSommaire du match
57728Wild1Checkers2WSommaire du match
59750Checkers0Silver Knights1LXSommaire du match
60763Moose3Checkers2LXXSommaire du match
61781Checkers3Wolves2WXSommaire du match
62790Heat3Checkers4WXSommaire du match
64809Comets2Checkers0LSommaire du match
65828Checkers5Comets1WSommaire du match
66839Checkers0Wild2LSommaire du match
68852Marlies0Checkers2WSommaire du match
69868Checkers2Penguins0WSommaire du match
70883Reign4Checkers8WSommaire du match
72903Checkers2Griffins5LSommaire du match
73912Penguins3Checkers1LSommaire du match
74935Americans3Checkers2LXXSommaire du match
76951Checkers1Islanders4LSommaire du match
77965Gulls2Checkers5WSommaire du match
79979Checkers1Rocket2LXXSommaire du match
80995Checkers0Crunch2LSommaire du match
811004Wolves0Checkers1WSommaire du match
831028Americans1Checkers2WSommaire du match
841040Checkers2Stars7LSommaire du match
851057Stars2Checkers1LXSommaire du match
861067Checkers0Reign3LSommaire du match
881087Senators2Checkers3WXXSommaire du match
891100Checkers3Phantoms2WSommaire du match
901119Barracuda3Checkers1LSommaire du match
921142Checkers1Heat0WXXSommaire du match
931151Moose0Checkers1WSommaire du match
951169Checkers3Wolf Pack4LXSommaire du match
961183Silver Knights2Checkers0LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981203Checkers3Roadrunners5LSommaire du match
991217Phantoms2Checkers4WSommaire du match
1021245Eagles2Checkers1LSommaire du match
1031254Checkers1Thunderbirds3LSommaire du match
1041274Silver Knights2Checkers1LSommaire du match
1051279Checkers0Gulls1LSommaire du match
1071298Checkers6Canucks1WSommaire du match
1081304Griffins3Checkers1LSommaire du match
1091314Checkers3Americans4LXSommaire du match
1101326Checkers2Heat0WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance58,98731,997
Assistance PCT68.59%74.41%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2116 - 70.53% 88,170$3,791,308$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,993,331$ 3,078,550$ 3,078,550$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
27,487$ 2,962,255$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 36,416$ 0$




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