Connexion

Checkers
GP: 2 | W: 0 | L: 1 | OTL: 1 | P: 1
GF: 5 | GA: 8 | PP%: 0.00% | PK%: 75.00%
DG: Mikkel Aagaard | Morale : 48 | Moyenne d’équipe : 56
Prochains matchs #35 vs Penguins
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Centre de jeu
Checkers
0-1-1, 1pts
1
FINAL
3 Moose
1-1-0, 2pts
Team Stats
OTL1SéquenceL1
0-0-1Fiche domicile1-1-0
0-1-0Fiche domicile0-0-0
0-1-1Derniers 10 matchs1-1-0
2.50Buts par match 2.50
4.00Buts contre par match 3.00
0.00%Pourcentage en avantage numérique16.67%
75.00%Pourcentage en désavantage numérique100.00%
Heat
2-1-0, 4pts
5
FINAL
4 Checkers
0-1-1, 1pts
Team Stats
W2SéquenceOTL1
1-0-0Fiche domicile0-0-1
1-1-0Fiche domicile0-1-0
2-1-0Derniers 10 matchs0-1-1
5.00Buts par match 2.50
4.67Buts contre par match 4.00
54.55%Pourcentage en avantage numérique0.00%
50.00%Pourcentage en désavantage numérique75.00%
Checkers
0-1-1, 1pts
Jour 4
Penguins
0-3-0, 0pts
Statistiques d’équipe
OTL1SéquenceL3
0-0-1Fiche domicile0-0-0
0-1-0Fiche visiteur0-3-0
0-1-110 derniers matchs0-3-0
2.50Buts par match 2.00
4.00Buts contre par match 2.00
0.00%Pourcentage en avantage numérique37.50%
75.00%Pourcentage en désavantage numérique42.86%
Americans
1-0-1, 3pts
Jour 5
Checkers
0-1-1, 1pts
Statistiques d’équipe
W1SéquenceOTL1
1-0-0Fiche domicile0-0-1
0-0-1Fiche visiteur0-1-0
1-0-110 derniers matchs0-1-1
2.50Buts par match 2.50
1.50Buts contre par match 2.50
0.00%Pourcentage en avantage numérique0.00%
80.00%Pourcentage en désavantage numérique75.00%
Eagles
1-1-0, 2pts
Jour 7
Checkers
0-1-1, 1pts
Statistiques d’équipe
L1SéquenceOTL1
1-1-0Fiche domicile0-0-1
0-0-0Fiche visiteur0-1-0
1-1-010 derniers matchs0-1-1
4.00Buts par match 2.50
3.50Buts contre par match 2.50
75.00%Pourcentage en avantage numérique0.00%
33.33%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Aleksanteri Kaskimaki
1
Passes
Aleksanteri Kaskimaki
2
Points
Aleksanteri Kaskimaki
3
Plus/Moins
Ty Nelson
1
Victoires
Damian Clara
0
Pourcentage d’arrêts
Damian Clara
0.771

Statistiques d’équipe
Buts pour
5
2.50 GFG
Tirs pour
28
14.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
34.3%
Buts contre
8
4.00 GAA
Tirs contre
35
17.50 Avg
Pourcentage en désavantage numérique
75.0%%
1 GA
Début de la zone défensive
35.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,269
Billets de saison1,500


Informations de la formation

Équipe Pro24
Équipe Mineure25
Limite contact 49 / 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 MaccelliXX100.0057409477676572694464686025656466456402531,479,000$
2Aleksanteri Kaskimaki (R)X100.0078709467717478617560586454454462486102131,340,000$
3Graeme ClarkeX100.0074708466705554625059626358454461485902421,260,000$
4Josiah SlavinX100.0078748865747581545047576353454459485902621,065,000$
5Lane PedersonX100.0070706963704845637960646260454461495802811,172,000$
6Brett HarrisonX100.0078729264726264546852526348454457485702231,106,000$
7Tyce ThompsonX100.0067715865717682525049505848454454485602621,007,000$
8Jake Schmaltz (R)XXX100.0076728580724848526538626258454458495602431,354,000$
9Jack Beck (R)X100.0075649980643531535057446242444454485402231,273,000$
10Lucas Mercuri (R)X100.0083828580824749445538446342454452485402331,338,000$
11Luke HenmanX100.0074679164675152496347476045454453485302531,320,000$
12Daylan Kuefler (R)X100.0074727860723836485047445942454450485102331,130,000$
13Samuel LabergeX100.006976536276454546504046574444445048500281974,000$
14Ty Nelson (R)X100.0072698066698087522548446040454455496002131,309,000$
15Topi NiemelaX100.0074679165677177522548406138454454485902331,342,000$
16Vsevolod Komarov (R)X100.0074786664787684492543405938454452495902131,286,000$
17Jack Peart (R)X100.0074718262716469452536395937454449485602231,275,000$
18Christian Krygier (R)X100.0076767761763634472539396137454448485302531,322,000$
19Dominik Badinka (R)X100.0063704780703230412528395337444445485002031,366,000$
Rayé
1Trevor Janicke (R)X100.0079729560723836465043446242444451485102400$
2Ryan Mast (R)X66.6583828562825558462537396437444451505702231,285,000$
3Matt Anderson (R)X100.0072707780703432472539395937444450485402600$
MOYENNE D’ÉQUIPE98.48747180687255575145464861444645544856
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
1Damian Clara (R)100.004440508945894549908145444461456102031,291,000$
2Jesper Vikman (R)100.00444050724589444889814544446049590232858,000$
Rayé
MOYENNE D’ÉQUIPE100.0044405081458945499081454444614760
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)C2123-1003230233.33%04422.1000003101110066.67%313001.3600000010
2Lane PedersonCheckers (FLO)C21120202340425.00%03819.3000000000000057.14%700001.0400000001
3Graeme ClarkeCheckers (FLO)RW2022-100327320%13919.98000130110200100.00%210001.0000000000
4Vsevolod KomarovCheckers (FLO)D2022020232010%14522.780000300001000%000000.8800000000
5Brett HarrisonCheckers (FLO)C2101-1002320050.00%03417.1500000000000033.33%302000.5800000000
6Daylan KueflerCheckers (FLO)LW2011-100100000%0178.700000000000000%000001.1500000000
7Ty NelsonCheckers (FLO)D2011100341000%25025.360000301115000%022000.3900000000
8Josiah SlavinCheckers (FLO)LW21010203340125.00%04020.3100003000030042.86%711000.4900000000
9Jake SchmaltzCheckers (FLO)C/LW/RW21010553530233.33%14221.0800003000040058.97%3920000.4700001000
10Matias MaccelliCheckers (FLO)LW/RW2000000130010%03115.880000100001000%02200000000000
11Tyce ThompsonCheckers (FLO)RW2000020210000%03316.6500003000000040.00%51000000000000
12Topi NiemelaCheckers (FLO)D2000-200050000%14723.870000300005000%00000000000000
13Luke HenmanCheckers (FLO)C2000-100100010%084.3600000000000050.00%20000000000000
14Samuel LabergeCheckers (FLO)LW2000000000000%021.06000000000000100.00%10000000000000
15Jack PeartCheckers (FLO)D2000-200432010%04723.610000300002000%01100000000000
16Christian KrygierCheckers (FLO)D2000000010000%13216.380000000000000%00000000000000
17Dominik BadinkaCheckers (FLO)D2000000100000%0136.820000000000000%00000000000000
18Lucas MercuriCheckers (FLO)C2000-100120000%02311.8400004000000033.33%30100000000000
Statistiques d’équipe totales ou en moyenne365914-913532402831517.86%759416.510001391232310055.56%721112000.4700001011
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)20110.7714.001200083512000020000
Statistiques d’équipe totales ou en moyenne20110.7714.00120008351200020000


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)C212004-02-06FINYes193 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,340,000$1,304,107$0$0$No1,340,000$1,340,000$-------1,340,000$1,340,000$-------NoNo-------Lien
Brett HarrisonCheckers (FLO)C222003-06-07CANNo190 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,106,000$1,076,375$0$0$No1,106,000$1,106,000$-------1,106,000$1,106,000$-------NoNo-------Lien
Christian KrygierCheckers (FLO)D252000-05-05USAYes201 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,322,000$1,286,589$0$0$No1,322,000$1,322,000$-------1,322,000$1,322,000$-------NoNo-------Lien
Damian ClaraCheckers (FLO)G202005-01-13ITAYes214 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,291,000$1,256,420$0$0$No1,291,000$1,291,000$-------1,291,000$1,291,000$-------NoNo-------Lien
Daylan KueflerCheckers (FLO)LW232002-02-10ABYes190 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,130,000$1,099,732$0$0$No1,130,000$1,130,000$-------1,130,000$1,130,000$-------NoNo-------Lien
Dominik BadinkaCheckers (FLO)D202005-11-27CZEYes183 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,366,000$1,329,411$0$0$No1,366,000$1,366,000$-------1,366,000$1,366,000$-------NoNo-------Lien
Graeme ClarkeCheckers (FLO)RW242001-04-24USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,260,000$1,226,250$0$0$No1,260,000$--------1,260,000$--------No--------Lien
Jack BeckCheckers (FLO)LW222003-04-12ONYes174 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,273,000$1,238,902$0$0$No1,273,000$1,273,000$-------1,273,000$1,273,000$-------NoNo-------Lien
Jack PeartCheckers (FLO)D222003-05-15USAYes195 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,275,000$1,240,848$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$1,317,732$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$835,018$0$0$No858,000$--------858,000$--------No--------Lien
Josiah SlavinCheckers (FLO)LW261998-12-31USANo197 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,065,000$1,036,473$0$0$No1,065,000$--------1,065,000$--------No--------Lien
Lane PedersonCheckers (FLO)C281997-08-04CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,172,000$1,140,607$0$0$No---------------------------Lien / Lien NHL
Lucas MercuriCheckers (FLO)C232002-03-07CANYes220 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,338,000$1,302,161$0$0$No1,338,000$1,338,000$-------1,338,000$1,338,000$-------NoNo-------Lien
Luke HenmanCheckers (FLO)C252000-04-29NSNo180 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,320,000$1,284,643$0$0$No1,320,000$1,320,000$-------1,320,000$1,320,000$-------NoNo-------Lien
Matias MaccelliCheckers (FLO)LW/RW252000-10-14FINNo185 Lbs5 ft11NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,479,000$1,439,384$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
Ryan Mast (sur la masse salariale)Checkers (FLO)D222003-01-14USAYes217 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,285,000$1,250,580$0$0$Yes1,285,000$1,285,000$-------1,285,000$1,285,000$-------NoNo-------Lien
Samuel LabergeCheckers (FLO)LW281997-04-10QUENo206 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm974,000$947,911$0$0$No---------------------------Lien
Topi NiemelaCheckers (FLO)D232002-03-25FINNo181 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,342,000$1,306,054$0$0$No1,342,000$1,342,000$-------1,342,000$1,342,000$-------NoNo-------Lien
Trevor JanickeCheckers (FLO)RW242000-12-25USAYes200 Lbs5 ft11NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Ty NelsonCheckers (FLO)D212004-03-30CANYes198 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,309,000$1,273,938$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$980,027$0$0$No1,007,000$--------1,007,000$--------No--------Lien
Vsevolod KomarovCheckers (FLO)D212004-01-11RUSYes208 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$1,251,554$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
2423.50195 Lbs6 ft12.421,131,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aleksanteri KaskimakiJake SchmaltzLane Pederson40122
2Graeme ClarkeJosiah SlavinBrett Harrison30122
3Jake SchmaltzTyce ThompsonAleksanteri Kaskimaki20122
4Lucas MercuriAleksanteri KaskimakiGraeme Clarke10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty NelsonVsevolod Komarov40122
2Topi NiemelaJack Peart30122
3Jack PeartChristian Krygier20122
4Ty NelsonTopi Niemela10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aleksanteri KaskimakiLucas MercuriGraeme Clarke60122
2Josiah SlavinJake SchmaltzTyce Thompson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty NelsonVsevolod Komarov60122
2Jack PeartTopi Niemela40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jake SchmaltzJosiah 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 Clarke60122Ty NelsonTopi Niemela60122
2Aleksanteri Kaskimaki40122Christian KrygierVsevolod Komarov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Aleksanteri KaskimakiJosiah Slavin60122
2Graeme ClarkeJake Schmaltz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vsevolod KomarovTy Nelson60122
2Jack PeartChristian Krygier40122
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, Jake SchmaltzAleksanteri Kaskimaki, Graeme ClarkeGraeme Clarke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Peart, Ty Nelson, Vsevolod KomarovTopi NiemelaVsevolod Komarov, Ty Nelson
Tirs de pénalité
Jake Schmaltz, Graeme Clarke, Tyce Thompson, Lucas Mercuri, Aleksanteri Kaskimaki
Gardien
#1 : Damian Clara, #2 : Jesper Vikman


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
1Heat1000010045-11000010045-10000000000010.50048120023001315940203414100.00%2150.00%1152462.50%162564.00%92142.86%321035235225
2Moose1010000013-2000000000001010000013-200.0001120023001515940154918300.00%20100.00%0152462.50%162564.00%92142.86%321035235225
Total2010010058-31000010045-11010000013-210.250591400230028159403571332400.00%4175.00%1152462.50%162564.00%92142.86%321035235225
_Since Last GM Reset2010010058-31000010045-11010000013-210.250591400230028159403571332400.00%4175.00%1152462.50%162564.00%92142.86%321035235225
_Vs Conference2010010058-31000010045-11010000013-210.250591400230028159403571332400.00%4175.00%1152462.50%162564.00%92142.86%321035235225

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
21OTL1591428357133200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
201010058
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100010045
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000013
Derniers 10 matchs
WLOTWOTL SOWSOL
010100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
400.00%4175.00%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
159402300
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
152462.50%162564.00%92142.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
321035235225


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
435Checkers-Penguins-
547Americans-Checkers-
772Eagles-Checkers-
994Checkers-Admirals-
10106Checkers-Stars-
11120Stars-Checkers-
12131Penguins-Checkers-
13156Eagles-Checkers-
15166Checkers-Admirals-
16191Heat-Checkers-
17196Checkers-Penguins-
18219Islanders-Checkers-
19234Checkers-Eagles-
20246Checkers-Rocket-
22257Wild-Checkers-
24284Roadrunners-Checkers-
25294Checkers-Admirals-
27311Admirals-Checkers-
28326Checkers-Americans-
29345Condors-Checkers-
30356Checkers-Senators-
31372IceHogs-Checkers-
32381Checkers-Eagles-
33396Checkers-Reign-
34416Crunch-Checkers-
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
Assistance1,535734
Assistance PCT76.75%73.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 2269 - 75.63% 96,455$96,455$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
99,513$ 2,715,200$ 2,715,200$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
23,096$ 69,288$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,051,110$ 109 33,171$ 3,615,639$




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