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Connexion

Checkers
GP: 27 | W: 11 | L: 11 | OTL: 5 | P: 27
GF: 68 | GA: 78 | PP%: 26.23% | PK%: 68.52%
DG: Mikkel Aagaard | Morale : 45 | Moyenne d’équipe : 58
Prochains matchs #427 vs IceHogs

Centre de jeu
Checkers
11-11-5, 27pts
2
3 Reign
16-11-0, 32pts
Team Stats
W1SéquenceW9
7-5-2Fiche domicile5-8-0
4-6-3Fiche domicile11-3-0
5-4-1Derniers 10 matchs9-1-0
2.52Buts par match 3.78
2.89Buts contre par match 3.26
26.23%Pourcentage en avantage numérique21.79%
68.52%Pourcentage en désavantage numérique70.79%
Crunch
5-16-5, 15pts
0
3 Checkers
11-11-5, 27pts
Team Stats
L1SéquenceW1
3-7-4Fiche domicile7-5-2
2-9-1Fiche domicile4-6-3
2-7-1Derniers 10 matchs5-4-1
2.15Buts par match 2.52
3.35Buts contre par match 2.89
24.19%Pourcentage en avantage numérique26.23%
72.46%Pourcentage en désavantage numérique68.52%
Checkers
11-11-5, 27pts
Jour 35
IceHogs
10-10-8, 28pts
Statistiques d’équipe
W1SéquenceW2
7-5-2Fiche domicile5-3-5
4-6-3Fiche visiteur5-7-3
5-4-110 derniers matchs5-5-0
2.52Buts par match 2.11
2.89Buts contre par match 2.11
26.23%Pourcentage en avantage numérique33.33%
68.52%Pourcentage en désavantage numérique70.69%
Checkers
11-11-5, 27pts
Jour 36
Marlies
7-16-4, 18pts
Statistiques d’équipe
W1SéquenceL1
7-5-2Fiche domicile3-9-1
4-6-3Fiche visiteur4-7-3
5-4-110 derniers matchs2-6-2
2.52Buts par match 2.15
2.89Buts contre par match 2.15
26.23%Pourcentage en avantage numérique28.81%
68.52%Pourcentage en désavantage numérique62.69%
Phantoms
13-14-0, 26pts
Jour 37
Checkers
11-11-5, 27pts
Statistiques d’équipe
W1SéquenceW1
5-8-0Fiche domicile7-5-2
8-6-0Fiche visiteur4-6-3
6-4-010 derniers matchs5-4-1
2.93Buts par match 2.52
3.26Buts contre par match 2.52
25.76%Pourcentage en avantage numérique26.23%
67.07%Pourcentage en désavantage numérique68.52%
Meneurs d'équipe
Buts
Aleksanteri Kaskimaki
13
Passes
Aleksanteri Kaskimaki
16
Points
Aleksanteri Kaskimaki
29
Plus/Moins
Aleksanteri Kaskimaki
6
Victoires
Damian Clara
6
Pourcentage d’arrêts
Matthew Murray
0.946

Statistiques d’équipe
Buts pour
68
2.52 GFG
Tirs pour
423
15.67 Avg
Pourcentage en avantage numérique
26.2%
16 GF
Début de zone offensive
33.7%
Buts contre
78
2.89 GAA
Tirs contre
519
19.22 Avg
Pourcentage en désavantage numérique
68.5%%
17 GA
Début de la zone défensive
38.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,123
Billets de saison1,500


Informations de la formation

Équipe Pro25
Équipe Mineure27
Limite contact 52 / 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
1Matias MaccelliXX96.0057409577676572694465695925656566566402531,479,000$
2Brian PinhoX100.0078719469717780648059666663444567316303012,000,000$
3Aleksanteri Kaskimaki (R)X97.0078709467717478627561596454454562596202231,340,000$
4Brayden LowX100.0067438880767462448874686365444452326203112,000,000$
5C.J. Smith (R)XXX100.0073669065665857627862576354444462305903112,000,000$
6Graeme ClarkeX98.0074708467715554625059626158454561495902421,260,000$
7Josiah SlavinX99.0078748865747581555048586253454559645902721,065,000$
8Lane PedersonX100.0070706963704845647961646260454561625802811,172,000$
9Brett HarrisonX100.0078729265736264546852526248454557485702231,106,000$
10Jake Schmaltz (R)XXX100.0076728581734848536539636158454558385702431,354,000$
11Tyce ThompsonX100.0067715865717682525049505748454554555602621,007,000$
12Brandon GignacX100.0073707962704442556954516148444456295402812,000,000$
13Brett Davis (R)X100.0078729162724139515044536350444455245302612,000,000$
14Ty Nelson (R)X100.0072698067708087532548446040454555586002131,309,000$
15Topi NiemelaX100.0074679166687177522548406138454554435902331,342,000$
16Vsevolod Komarov (R)X100.0074786665797684502543415938454552495902231,286,000$
17Ryan Mast (R)X100.0083828563835558462537396337454550475702331,285,000$
18Jack Peart (R)X100.0074718263726469452536395937454549525602231,275,000$
19Christian Krygier (R)X100.0076767761763634472539396037454548475302531,322,000$
Rayé
1Trevor Janicke (R)X100.0079729560723836465043446242444451235002500$
2Matt Anderson (R)X100.0072707780703432472539395937444450235402600$
MOYENNE D’ÉQUIPE99.52746984677260615451505261474646564458
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 Murray100.006440507470677072747230444465536302811,000,000$
2Dylan Garand100.00585265666162536161593044445864570231902,500$
Rayé
1Damian Clara (R)46.874540508946884448898145454560356102131,291,000$
2Jesper Vikman (R)77.64444050724589454990814544445953590232858,000$
MOYENNE D’ÉQUIPE81.1353435475567753587973384444615160
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)C2713162961915255071123618.31%862223.0634710461012162362.20%821310000.9300120352
2Matias MaccelliCheckers (FLO)LW/RW2791423400273248143518.75%452019.280335250000183050.47%212139000.8800000311
3Lane PedersonCheckers (FLO)C279142362610423938243523.68%1154820.331122240000140161.32%10699000.8400101211
4Graeme ClarkeCheckers (FLO)RW2741317-11282041576222346.45%755820.6815613460111230052.17%46125000.6123022011
5Josiah SlavinCheckers (FLO)LW278715-83630484840102420.00%855720.633367380001390241.85%18479000.5401204111
6Jake SchmaltzCheckers (FLO)C/LW/RW22771461210162924141229.17%729613.461234170000150157.50%200102000.9502002012
7Vsevolod KomarovCheckers (FLO)D2721012-52810434023788.70%2168425.34235452000028100%0714000.3500020100
8Brett HarrisonCheckers (FLO)C27549-5141035302121623.81%349418.3200003000001052.78%3689000.3600020101
9Ty NelsonCheckers (FLO)D27279-5231544452913136.90%3869725.82213453011144100%01522000.2600003001
10Topi NiemelaCheckers (FLO)D27167-280245419755.26%1759622.10022222000031000%0711000.2300000000
11Tyce ThompsonCheckers (FLO)RW27415-918103832123633.33%746717.322135360000230044.27%13163000.2113101010
12Jack PeartCheckers (FLO)D27134-580444716686.25%1564223.80112136000127000%0618000.1200000000
13Brian PinhoCheckers (FLO)C91121009750120.00%0738.1600000000001040.00%1033000.5400000000
14Lucas MercuriPanthersC16022-40014144110%118411.54022225000000044.74%3803000.2200000000
15Daylan KueflerPanthersLW18011-3207140030%21649.140000100001000%220000.1200000000
16C.J. SmithCheckers (FLO)C/LW/RW9101-12016442125.00%012413.8400033000011066.67%320000.1600000010
17Christian KrygierCheckers (FLO)D20011-32558133010%531115.56000114000019000%016000.0600100000
18Brett DavisCheckers (FLO)LW2000000000000%073.860000000000000%00000000000000
19Brandon GignacCheckers (FLO)C9000000000000%050.650000000000000%00000000000000
20Luke HenmanPanthersC18000-3001491120%01096.1000000000000046.15%260000000000000
21Samuel LabergePanthersLW18000-220330000%0482.67000000000000100.00%10000000000000
22Ryan MastCheckers (FLO)D14000-2202101000%216211.600000000003000%00400000000000
23Brendan LessPanthersD7000100110000%1446.290000000000000%00000000000000
24Dominik BadinkaPanthersD18000000130000%11025.680000000001000%00100000000000
25Brayden LowCheckers (FLO)LW9000000622000%0414.620000000000000%00000000000000
26Jack BeckPanthersLW25000100200000%070.290000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne51167107174-4325313551058342313824115.84%158807315.8016284463448123631110751.25%1077121138000.43396813111210
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
1Damian ClaraCheckers (FLO)186740.8253.0910490054308143000.6676180000
2Jesper VikmanCheckers (FLO)93310.8802.28448011714279100.3333718010
3Dylan GarandCheckers (FLO)11000.8466.3219002137000009000
4Matthew MurrayCheckers (FLO)21100.9461.501200135627000020100
Statistiques d’équipe totales ou en moyenne30111150.8542.79163702765192561092727110


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
Aleksanteri KaskimakiCheckers (FLO)C222004-02-06FINYes193 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,340,000$933,214$0$0$No1,340,000$1,340,000$-------1,340,000$1,340,000$-------NoNo-------Lien
Brandon GignacCheckers (FLO)C281997-11-07CANNo195 Lbs5 ft11NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$1,392,857$0$0$No---------------------------Lien
Brayden LowCheckers (FLO)LW311994-05-08CANNo209 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$1,392,857$0$0$No---------------------------Lien
Brett DavisCheckers (FLO)LW261999-06-01MBYes195 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$1,392,857$0$0$No---------------------------Lien
Brett HarrisonCheckers (FLO)C222003-06-07CANNo190 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,106,000$770,250$0$0$No1,106,000$1,106,000$-------1,106,000$1,106,000$-------NoNo-------Lien
Brian PinhoCheckers (FLO)C301995-05-11USANo190 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$1,392,857$0$0$No---------------------------Lien / Lien NHL
C.J. SmithCheckers (FLO)C/LW/RW311994-12-01USAYes183 Lbs5 ft11NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$1,392,857$0$0$No---------------------------Lien
Christian KrygierCheckers (FLO)D252000-05-05USAYes201 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,322,000$920,679$0$0$No1,322,000$1,322,000$-------1,322,000$1,322,000$-------NoNo-------Lien
Damian Clara (sur la masse salariale)Checkers (FLO)G212005-01-13ITAYes214 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,291,000$899,089$0$0$Yes1,291,000$1,291,000$-------1,291,000$1,291,000$-------NoNo-------Lien
Dylan GarandCheckers (FLO)G232002-06-07CANNo176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm902,500$628,527$0$0$No---------------------------Lien
Graeme ClarkeCheckers (FLO)RW242001-04-24USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,260,000$877,500$0$0$No1,260,000$--------1,260,000$--------No--------Lien
Jack PeartCheckers (FLO)D222003-05-15USAYes195 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,275,000$887,946$0$0$No1,275,000$1,275,000$-------1,275,000$1,275,000$-------NoNo-------Lien
Jake SchmaltzCheckers (FLO)C/LW/RW242001-04-24USAYes190 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,354,000$942,964$0$0$No1,354,000$1,354,000$-------1,354,000$1,354,000$-------NoNo-------Lien
Jesper VikmanCheckers (FLO)G232002-03-11SWEYes179 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm858,000$597,536$0$0$No858,000$--------858,000$--------No--------Lien
Josiah SlavinCheckers (FLO)LW271998-12-31USANo197 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,065,000$741,696$0$0$No1,065,000$--------1,065,000$--------No--------Lien
Lane PedersonCheckers (FLO)C281997-08-04CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,172,000$816,214$0$0$No---------------------------Lien / Lien NHL
Matias MaccelliCheckers (FLO)LW/RW252000-10-14FINNo185 Lbs5 ft11NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,479,000$1,030,018$0$0$No1,479,000$1,479,000$-------1,479,000$1,479,000$-------NoNo-------Lien
Matt AndersonCheckers (FLO)D261999-04-11USAYes194 Lbs6 ft0NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Matthew MurrayCheckers (FLO)G281998-02-02ABNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12026-02-12FalseFalsePro & Farm1,000,000$696,429$0$0$No---------------------------Lien
Ryan MastCheckers (FLO)D232003-01-14USAYes217 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,285,000$894,911$0$0$No1,285,000$1,285,000$-------1,285,000$1,285,000$-------NoNo-------Lien
Topi NiemelaCheckers (FLO)D232002-03-25FINNo181 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,342,000$934,607$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)D212004-03-30CANYes198 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,309,000$911,625$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$701,304$0$0$No1,007,000$--------1,007,000$--------No--------Lien
Vsevolod KomarovCheckers (FLO)D222004-01-11RUSYes208 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$895,607$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
2525.04194 Lbs6 ft11.961,266,140$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aleksanteri KaskimakiMatias MaccelliLane Pederson40122
2Graeme ClarkeJosiah SlavinBrett Harrison30122
3Josiah SlavinTyce ThompsonAleksanteri Kaskimaki20122
4Matias MaccelliAleksanteri KaskimakiGraeme Clarke10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty NelsonVsevolod Komarov40122
2Topi NiemelaJack Peart30122
3Jack PeartTopi Niemela20122
4Ryan MastVsevolod Komarov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aleksanteri KaskimakiLane PedersonGraeme Clarke60122
2Josiah SlavinMatias MaccelliTyce 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 Kaskimaki40122Ryan MastVsevolod 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 PeartRyan Mast40122
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, Matias Maccelli, Aleksanteri Kaskimaki
Gardien
#1 : Matthew Murray, #2 : Dylan Garand


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
1Admirals420001019721000000123-13200010074360.7509172601112527756119150147165113448112650.00%20100.00%018435751.54%21140951.59%15729453.40%448154503307686339
2Americans210010001073110000006421000100043141.0001017270011252774311915014716532123347228.57%4175.00%018435751.54%21140951.59%15729453.40%448154503307686339
3Condors1010000024-21010000024-20000000000000.00023500112527717119150147163571115200.00%3166.67%018435751.54%21140951.59%15729453.40%448154503307686339
4Crunch11000000303110000003030000000000021.00033601112527715119150147161361424300.00%20100.00%018435751.54%21140951.59%15729453.40%448154503307686339
5Eagles4210100013112210010008442110000057-260.75013193200112527758119150147166212217112433.33%8537.50%018435751.54%21140951.59%15729453.40%448154503307686339
6Heat20000110880200001108800000000000030.75081220001125277231191501471638916334125.00%3166.67%118435751.54%21140951.59%15729453.40%448154503307686339
7IceHogs1010000013-21010000013-20000000000000.0001120011252771711915014716135619100.00%3233.33%018435751.54%21140951.59%15729453.40%448154503307686339
8Islanders1010000013-21010000013-20000000000000.00011200112527727119150147162291119200.00%3166.67%018435751.54%21140951.59%15729453.40%448154503307686339
9Moose1010000013-2000000000001010000013-200.0001120011252771511915014716154918300.00%20100.00%018435751.54%21140951.59%15729453.40%448154503307686339
10Penguins30101001812-4100010004312010000149-530.500813210011252774811915014716632651777342.86%8450.00%018435751.54%21140951.59%15729453.40%448154503307686339
11Reign1010000023-1000000000001010000023-100.00023500112527716119150147164319418100.00%20100.00%018435751.54%21140951.59%15729453.40%448154503307686339
12Roadrunners10001000431100010004310000000000021.00047110011252771911915014716375611100.00%3166.67%018435751.54%21140951.59%15729453.40%448154503307686339
13Rocket1000010023-1000000000001000010023-110.50023500112527771191501471674014000%000%018435751.54%21140951.59%15729453.40%448154503307686339
14Senators1010000013-2000000000001010000013-200.00012300112527718119150147161191422200.00%2150.00%018435751.54%21140951.59%15729453.40%448154503307686339
15Stars2020000015-41010000002-21010000013-200.0001230011252771611915014716222835200.00%40100.00%018435751.54%21140951.59%15729453.40%448154503307686339
16Wild1010000023-11010000023-10000000000000.00023500112527728119150147163471519200.00%50100.00%018435751.54%21140951.59%15729453.40%448154503307686339
Total27611043126878-10143503111414011336012012738-11270.5006810717502112527742311915014716519158253510611626.23%541768.52%118435751.54%21140951.59%15729453.40%448154503307686339
_Since Last GM Reset27611043126878-10143503111414011336012012738-11270.5006810717502112527742311915014716519158253510611626.23%541768.52%118435751.54%21140951.59%15729453.40%448154503307686339
_Vs Conference2157042125762-5102203111333031135011012432-8240.571579214901112527732111915014716406120193397511631.37%391366.67%118435751.54%21140951.59%15729453.40%448154503307686339
_Vs Division45503212915-62210211156-12340110149-5222.750914230011252777511915014716853562969333.33%11554.55%018435751.54%21140951.59%15729453.40%448154503307686339

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2727W16810717542351915825351002
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2761143126878
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
143531114140
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
133612012738
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
611626.23%541768.52%1
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
119150147161125277
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
18435751.54%21140951.59%15729453.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
448154503307686339


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
35427Checkers-IceHogs-
36444Checkers-Marlies-
37459Phantoms-Checkers-
39476Bears-Checkers-
40494Monsters-Checkers-
41511Checkers-Moose-
42525Thunderbirds-Checkers-
43538Checkers-Bears-
44552Checkers-Bruins-
45570Checkers-Moose-
46580Admirals-Checkers-
47599Bruins-Checkers-
49622Checkers-Stars-
50636Canucks-Checkers-
51656Wolf Pack-Checkers-
53673Checkers-Condors-
54690Rocket-Checkers-
55707Checkers-Barracuda-
56719Checkers-Monsters-
57728Wild-Checkers-
59750Checkers-Silver Knights-
60763Moose-Checkers-
61781Checkers-Wolves-
62790Heat-Checkers-
64809Comets-Checkers-
65828Checkers-Comets-
66839Checkers-Wild-
68852Marlies-Checkers-
69868Checkers-Penguins-
70883Reign-Checkers-
72903Checkers-Griffins-
73912Penguins-Checkers-
74935Americans-Checkers-
76951Checkers-Islanders-
77965Gulls-Checkers-
79979Checkers-Rocket-
80995Checkers-Crunch-
811004Wolves-Checkers-
831028Americans-Checkers-
841040Checkers-Stars-
851057Stars-Checkers-
861067Checkers-Reign-
881087Senators-Checkers-
891100Checkers-Phantoms-
901119Barracuda-Checkers-
921142Checkers-Heat-
931151Moose-Checkers-
951169Checkers-Wolf Pack-
961183Silver Knights-Checkers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981203Checkers-Roadrunners-
991217Phantoms-Checkers-
1021245Eagles-Checkers-
1031254Checkers-Thunderbirds-
1041274Silver Knights-Checkers-
1051279Checkers-Gulls-
1071298Checkers-Canucks-
1081304Griffins-Checkers-
1091314Checkers-Americans-
1101326Checkers-Heat-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance19,10610,619
Assistance PCT68.24%75.85%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 2123 - 70.77% 88,123$1,233,715$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,147,836$ 3,036,250$ 3,036,250$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
27,109$ 830,517$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,555,552$ 78 36,038$ 2,810,964$




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