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Connexion

Checkers
GP: 24 | W: 12 | L: 9 | OTL: 3 | P: 27
GF: 108 | GA: 103 | PP%: 21.50% | PK%: 86.52%
DG: Jean-Francois Chouinard | Morale : 39 | Moyenne d’équipe : 64
Prochains matchs #317 vs Americans
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Centre de jeu
Barracuda
14-10-1, 29pts
3
FINAL
6 Checkers
12-9-3, 27pts
Team Stats
SOW1SéquenceW2
8-3-1Fiche domicile7-4-1
6-7-0Fiche domicile5-5-2
5-5-0Derniers 10 matchs4-5-1
4.04Buts par match 4.50
4.12Buts contre par match 4.29
15.09%Pourcentage en avantage numérique21.50%
78.50%Pourcentage en désavantage numérique86.52%
Checkers
12-9-3, 27pts
4
FINAL
2 Rockets
9-14-2, 20pts
Team Stats
W2SéquenceL2
7-4-1Fiche domicile5-7-0
5-5-2Fiche domicile4-7-2
4-5-1Derniers 10 matchs3-7-0
4.50Buts par match 3.52
4.29Buts contre par match 4.48
21.50%Pourcentage en avantage numérique16.98%
86.52%Pourcentage en désavantage numérique76.04%
Checkers
12-9-3, 27pts
Jour 63
Americans
11-11-1, 23pts
Statistiques d’équipe
W2SéquenceL2
7-4-1Fiche domicile6-6-0
5-5-2Fiche visiteur5-5-1
4-5-110 derniers matchs4-5-1
4.50Buts par match 3.78
4.29Buts contre par match 3.78
21.50%Pourcentage en avantage numérique28.09%
86.52%Pourcentage en désavantage numérique80.37%
Marlies
13-9-2, 28pts
Jour 65
Checkers
12-9-3, 27pts
Statistiques d’équipe
L1SéquenceW2
6-4-2Fiche domicile7-4-1
7-5-0Fiche visiteur5-5-2
5-4-110 derniers matchs4-5-1
4.13Buts par match 4.50
4.17Buts contre par match 4.50
21.21%Pourcentage en avantage numérique21.50%
73.12%Pourcentage en désavantage numérique86.52%
Checkers
12-9-3, 27pts
Jour 67
Punishers
12-9-2, 26pts
Statistiques d’équipe
W2SéquenceL3
7-4-1Fiche domicile4-7-1
5-5-2Fiche visiteur8-2-1
4-5-110 derniers matchs3-6-1
4.50Buts par match 4.39
4.29Buts contre par match 4.39
21.50%Pourcentage en avantage numérique23.33%
86.52%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Andrei Svechnikov
22
Passes
Dylan Gambrell
31
Points
Andrei Svechnikov
47
Plus/Moins
Patrick Brown
7
Victoires
Joseph Woll
10
Pourcentage d’arrêts
Ivan Prosvetov
0.873

Statistiques d’équipe
Buts pour
108
4.50 GFG
Tirs pour
796
33.17 Avg
Pourcentage en avantage numérique
21.5%
23 GF
Début de zone offensive
37.7%
Buts contre
103
4.29 GAA
Tirs contre
787
32.79 Avg
Pourcentage en désavantage numérique
86.5%%
12 GA
Début de la zone défensive
34.8%
Informations de l'équipe

Directeur généralJean-Francois Chouinard
EntraîneurPavel Bure
DivisionPaul-Loicq
ConférenceLouis-Magnus
CapitaineJohn Draeger
Assistant #1Andrei Svechnikov
Assistant #2Patrick Brown


Informations de l’aréna

Capacité3,000
Assistance2,762
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 250
Espoirs0


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
1Patrick Brown (A)X100.007254797074687675797279677665584345720271950,000$
2Dylan Gambrell (R)X100.006833786972717171788374586654475045700231900,000$
3Matt PuempelX100.007340837473727372706975587554523649690263750,000$
4Andrei Svechnikov (R) (A)X100.006533798157727183686873579048447845690191500,000$
5Mitchell HeardX100.007733717576636865657371666154542545680271650,000$
6Austin Poganski (R)X100.007045777472617769656770646350483645670232600,000$
7Roberts Lipsbergs (R)X100.007332766979746469756968626751533445670251550,000$
8Nick Abruzzese (R)X100.006138767657595277677366507445446745650202500,000$
9Grigori Denisenko (R)X100.007547637075587269497072555742427745640191500,000$
10Kirill Marchenko (R)X100.005930747169716361545582506341426435630191500,000$
11Shane Bowers (R)X100.005935777558655370625569567243455745630202500,000$
12Tyce Thompson (R)X100.006538825867676563686059475843456445600202500,000$
13Kale Clague (R)X100.006434857871657381458160775157465845720213950,000$
14Timothy Liljegren (R)X100.006126848066677780468570725757426545710204950,000$
15Viktor Baldayev (R)X100.007249727276627370506757785552513845700241700,000$
16Michael Anderson (R)X100.005723737962607179427360685244446445650202700,000$
17Jared McIsaac (R)X100.005532767456576774267452634244425635620191500,000$
18Jordan Harris (R)X100.005835746657675666515847625742427031600191500,000$
Rayé
1Brett Pollock (R)X100.006034766462676061606655675445453720620231350,000$
2Nathan Legare (R)X100.006541566065476057525962474440407220560182500,000$
3Mikhail Abramov (R)X100.004533585839584859596055374740407420520182500,000$
4John Draeger (C)X92.077222777775747565517567826471563134730261950,000$
5Mattias Norlinder (R)X100.003933706244405665256148553942415920520192500,000$
MOYENNE D’ÉQUIPE99.66643675716564667057686561604946553965
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
1Joseph Woll97.00726781625381775757807046446451660211500,000$
2Ivan Prosvetov100.00784668718054466361577044435351610201500,000$
Rayé
1Kirill Ustimenko (R)100.00426153476250525870483445445228550202500,000$
MOYENNE D’ÉQUIPE99.0064586760656258596362584544564361
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pavel Bure54607666334563RUS492800,000$


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
1Andrei SvechnikovCheckers (Flo)LW2422254741803617114365719.30%1347519.8359141784000013150.00%36324031.9811000423
2Dylan GambrellCheckers (Flo)C24931403240452971202412.68%1251921.663101312830000471050.07%733619001.5400000101
3Patrick BrownCheckers (Flo)RW241717347120444171233723.94%853122.1663914810112704047.37%57910011.2801000323
4Timothy LiljegrenCheckers (Flo)D2442630-94036408424264.76%3167328.0529111695011180000%02723000.8900000010
5Roberts LipsbergsCheckers (Flo)LW2411718420251843131725.58%82239.3100000000062375.00%454001.6100000200
6Nick AbruzzeseCheckers (Flo)C2441216-144040365218527.69%940116.7133612660000160040.29%278107000.8000000100
7Grigori DenisenkoCheckers (Flo)LW2441014-16220531640112910.00%837315.55123665000000028.57%794000.7500000012
8Mitchell HeardCheckers (Flo)C248513280323644191918.18%833313.88000051012680047.35%226119000.7800000010
9Michael AndersonCheckers (Flo)D241111234082326793.85%1836715.30101259000115000%039000.6500000000
10Austin PoganskiCheckers (Flo)RW246511-15100432343152713.95%535214.69000080001250042.86%1453000.6200000020
11Matt PuempelCheckers (Flo)LW175510-12019194071212.50%520812.29000030000230062.50%851000.9601000100
12Kirill MarchenkoCheckers (Flo)RW2445938023131641025.00%829112.14011061000000075.00%823000.6200000001
13Shane BowersCheckers (Flo)C2436936018123510168.57%52028.4400000000030037.97%7994000.8900000000
14John DraegerCheckers (Flo)D20268-118020403113166.45%2853726.85202782000256100%0921000.3000000000
15Kale ClagueCheckers (Flo)D24088-92010413817200%2851221.36011157000252000%01320000.3100000000
16Jared McIsaacCheckers (Flo)D1513404031212128.33%920913.9700018000011000%015000.3800000100
17Viktor BaldayevCheckers (Flo)D24224020021441811511.11%1842617.7800003000055000%0218100.1900000000
18Brett PollockCheckers (Flo)LW72130408964233.33%07110.1900002000090050.00%210000.8400000000
19Jordan HarrisCheckers (Flo)D130334204124320%1016312.590000200003000%005000.3700000010
20Tyce ThompsonCheckers (Flo)RW2420222011883125.00%41968.2100000000000044.44%902000.2000000010
Statistiques d’équipe totales ou en moyenne432107188295-30176049948979625938313.44%235707216.37233861887711231154711447.09%1461159171140.8313000131110
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
1Joseph WollCheckers (Flo)2010720.8704.2911482082629328311.0003204101
2Ivan ProsvetovCheckers (Flo)62210.8734.042970020157920000420000
Statistiques d’équipe totales ou en moyenne2612930.8704.231446201027864203132424101


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 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 Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Andrei SvechnikovCheckers (Flo)LW192000-01-01Yes195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Austin PoganskiCheckers (Flo)RW231996-01-01Yes198 Lbs5 ft11NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm600,000$418,812$0$0$No600,000$--------No--------
Brett PollockCheckers (Flo)LW231996-01-01Yes195 Lbs6 ft3NoNoFree AgentNoNo12024-10-06FalseFalsePro & Farm350,000$244,307$0$0$No------------------
Dylan GambrellCheckers (Flo)C231996-01-01Yes194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Grigori DenisenkoCheckers (Flo)LW192000-01-01Yes186 Lbs5 ft11NoNoTrade2024-08-09NoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Ivan ProsvetovCheckers (Flo)G201999-01-01No195 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Jared McIsaacCheckers (Flo)D192000-01-01Yes192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
John DraegerCheckers (Flo)D261993-01-01No186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$663,119$0$0$No------------------
Jordan HarrisCheckers (Flo)D192000-01-01Yes189 Lbs5 ft11NoNoTrade2024-09-17NoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Joseph WollCheckers (Flo)G211998-01-01No203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Kale ClagueCheckers (Flo)D211998-01-01Yes176 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm950,000$663,119$0$0$No1,300,000$1,900,000$-------NoNo-------
Kirill MarchenkoCheckers (Flo)RW192000-01-01Yes187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Kirill UstimenkoCheckers (Flo)G201999-01-01Yes203 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Matt PuempelCheckers (Flo)LW261993-01-01No190 Lbs6 ft0NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm750,000$523,515$0$0$No750,000$750,000$-------NoNo-------
Mattias NorlinderCheckers (Flo)D192000-01-01Yes192 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Michael AndersonCheckers (Flo)D201999-01-01Yes195 Lbs6 ft0NoNoTrade2024-09-24NoNo22024-09-07FalseFalsePro & Farm700,000$488,614$0$0$No800,000$--------No--------
Mikhail AbramovCheckers (Flo)C182001-01-01Yes170 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Mitchell HeardCheckers (Flo)C271992-01-01No188 Lbs6 ft0NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm650,000$453,713$0$0$No------------------
Nathan LegareCheckers (Flo)RW182001-01-01Yes205 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Nick AbruzzeseCheckers (Flo)C201999-01-01Yes181 Lbs5 ft11NoNoTrade2024-09-17NoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Patrick BrownCheckers (Flo)RW271992-01-01No210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$663,119$0$0$No------------------
Roberts LipsbergsCheckers (Flo)LW251994-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm550,000$383,911$0$0$No------------------
Shane BowersCheckers (Flo)C201999-01-01Yes185 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Timothy LiljegrenCheckers (Flo)D201999-01-01Yes192 Lbs6 ft1NoNoFree AgentNoNo42024-08-21FalseFalsePro & Farm950,000$663,119$0$0$No1,350,000$3,000,000$4,000,000$------NoNoNo------
Tyce ThompsonCheckers (Flo)RW201999-01-01Yes174 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Viktor BaldayevCheckers (Flo)D241995-01-01Yes185 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$488,614$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2621.38190 Lbs6 ft11.62615,385$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andrei SvechnikovDylan GambrellPatrick Brown40023
2Grigori DenisenkoNick AbruzzeseAustin Poganski30023
3Matt PuempelMitchell HeardKirill Marchenko20023
4Roberts LipsbergsShane BowersTyce Thompson10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenKale Clague40023
2Jared McIsaacViktor Baldayev30023
3Michael AndersonJordan Harris20023
4Timothy LiljegrenKale Clague10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andrei SvechnikovDylan GambrellPatrick Brown60014
2Grigori DenisenkoNick AbruzzeseKirill Marchenko40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenKale Clague60023
2Jared McIsaacMichael Anderson40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mitchell HeardPatrick Brown60032
2Dylan GambrellAustin Poganski40032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenJared McIsaac60041
2Kale ClagueViktor Baldayev40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Patrick Brown60032Timothy LiljegrenJared McIsaac60041
2Mitchell Heard40032Kale ClagueViktor Baldayev40041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellAndrei Svechnikov60023
2Nick AbruzzesePatrick Brown40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenKale Clague60023
2Michael AndersonViktor Baldayev40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andrei SvechnikovDylan GambrellPatrick BrownTimothy LiljegrenKale Clague
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Roberts LipsbergsMitchell HeardPatrick BrownKale ClagueViktor Baldayev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Abruzzese, Andrei Svechnikov, Dylan GambrellKirill Marchenko, Andrei SvechnikovPatrick Brown
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jared McIsaac, Timothy Liljegren, Kale ClagueMichael AndersonViktor Baldayev, Jared McIsaac
Tirs de pénalité
Andrei Svechnikov, Patrick Brown, Roberts Lipsbergs, Nick Abruzzese, Shane Bowers
Gardien
#1 : Joseph Woll, #2 : Ivan Prosvetov
Lignes d’attaque personnalisées en prolongation
Dylan Gambrell, Andrei Svechnikov, Patrick Brown, Grigori Denisenko, Kirill Marchenko, Nick Abruzzese, Nick Abruzzese, Mitchell Heard, Matt Puempel, Roberts Lipsbergs, Shane Bowers
Lignes de défense personnalisées en prolongation
Timothy Liljegren, Kale Clague, Jared McIsaac, Viktor Baldayev, Michael Anderson


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
1Admirals1010000046-21010000046-20000000000000.000461010254338237260256272112276295120.00%3166.67%026354648.17%23350346.32%19239848.24%518292499221431218
2Barracuda11000000633110000006330000000000021.0006121800254338232260256272113566213133.33%30100.00%026354648.17%23350346.32%19239848.24%518292499221431218
3Bears202000001013-31010000046-21010000067-100.0001016260025433826426025627211711316455240.00%8187.50%026354648.17%23350346.32%19239848.24%518292499221431218
4Condors1010000035-21010000035-20000000000000.000369002543382442602562721137101014200.00%5260.00%026354648.17%23350346.32%19239848.24%518292499221431218
5Crunch310002001213-1210001007701000010056-140.66712223400254338289260256272119933326118211.11%16381.25%026354648.17%23350346.32%19239848.24%518292499221431218
6Eagles220000001293110000004311100000086241.00012213300254338269260256272116920145111654.55%70100.00%126354648.17%23350346.32%19239848.24%518292499221431218
7Firebirds20101000660201010006600000000000020.5006101600254338266260256272117017646900.00%30100.00%026354648.17%23350346.32%19239848.24%518292499221431218
8Islander11000000725000000000001100000072521.0007132000254338236260256272112910887457.14%40100.00%026354648.17%23350346.32%19239848.24%518292499221431218
9Little Stars20200000912-30000000000020200000912-300.000915240025433825926025627211732518416233.33%9277.78%026354648.17%23350346.32%19239848.24%518292499221431218
10Penguins21100000910-1110000007341010000027-520.500916250025433826726025627211603316411317.69%80100.00%026354648.17%23350346.32%19239848.24%518292499221431218
11Punishers10000010761000000000001000001076121.00071118002543382452602562721142166196116.67%3166.67%026354648.17%23350346.32%19239848.24%518292499221431218
12Rockets220000001055110000006331100000042241.000101929002543382772602562721160208398112.50%40100.00%026354648.17%23350346.32%19239848.24%518292499221431218
13Senators1010000014-3000000000001010000014-300.00011200254338228260256272113058214125.00%4250.00%026354648.17%23350346.32%19239848.24%518292499221431218
14Thunderbirds11000000532000000000001100000053221.000510150025433822426025627211369628200.00%30100.00%026354648.17%23350346.32%19239848.24%518292499221431218
15Wolfpack21000100761110000004221000010034-130.750710170025433825926025627211541118358112.50%90100.00%026354648.17%23350346.32%19239848.24%518292499221431218
Total24109013101081035126401100514471245002105759-2270.563108188296102543382796260256272117872351784991072321.50%891286.52%126354648.17%23350346.32%19239848.24%518292499221431218
_Since Last GM Reset24109013101081035126401100514471245002105759-2270.563108188296102543382796260256272117872351784991072321.50%891286.52%126354648.17%23350346.32%19239848.24%518292499221431218
_Vs Conference1876013108480484201100322751034002105253-1210.5838414422800254338257826025627211603187140375851922.35%70790.00%126354648.17%23350346.32%19239848.24%518292499221431218
_Vs Division95100300403825400010022157411002001823-5130.7224069109002543382284260256272112829780188501020.00%40392.50%126354648.17%23350346.32%19239848.24%518292499221431218

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2427W210818829679678723517849910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
241091310108103
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
126411005144
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
124502105759
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1072321.50%891286.52%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
260256272112543382
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
26354648.17%23350346.32%19239848.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
518292499221431218


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
310Firebirds1Checkers2WXSommaire du match
628Penguins3Checkers7WSommaire du match
943Checkers2Penguins7LSommaire du match
1155Eagles3Checkers4WSommaire du match
1465Checkers5Little Stars6LSommaire du match
1884Wolfpack2Checkers4WSommaire du match
20101Checkers5Thunderbirds3WSommaire du match
22111Crunch3Checkers4WSommaire du match
23119Checkers5Crunch6LXSommaire du match
24122Checkers3Wolfpack4LXSommaire du match
27137Checkers8Eagles6WSommaire du match
29150Bears6Checkers4LSommaire du match
32167Checkers7Punishers6WXXSommaire du match
33174Admirals6Checkers4LSommaire du match
36185Checkers7Islander2WSommaire du match
39198Firebirds5Checkers4LSommaire du match
43219Rockets3Checkers6WSommaire du match
48239Condors5Checkers3LSommaire du match
50252Checkers1Senators4LSommaire du match
52265Crunch4Checkers3LXSommaire du match
54271Checkers4Little Stars6LSommaire du match
56287Checkers6Bears7LSommaire du match
59297Barracuda3Checkers6WSommaire du match
61309Checkers4Rockets2WSommaire du match
63317Checkers-Americans-
65329Marlies-Checkers-
67343Checkers-Punishers-
69352Phantoms-Checkers-
71364Checkers-Thunderbirds-
73378Checkers-Little Stars-
75384Senators-Checkers-
77396Checkers-Griffins-
79403Checkers-Canucks-
80412Americans-Checkers-
84433Checkers-Canucks-
86441Penguins-Checkers-
88455Checkers-Comets-
90465Icehogs-Checkers-
92471Checkers-Icehogs-
94484Checkers-Moose-
96494Griffins-Checkers-
102518Wolfpack-Checkers-
104529Checkers-Penguins-
106542Gulls-Checkers-
108550Checkers-Marlies-
110560Checkers-Admirals-
111570Wranglers-Checkers-
116593Crunch-Checkers-
121619Canucks-Checkers-
125638Little Stars-Checkers-
127654Checkers-Gulls-
129662Checkers-Phantoms-
131672Wolfpack-Checkers-
133688Checkers-Wranglers-
135698Eagles-Checkers-
137713Checkers-Penguins-
139723Comets-Checkers-
142738Checkers-Firebirds-
143748Wranglers-Checkers-
147770Islander-Checkers-
149780Checkers-Barracuda-
151790Checkers-Condors-
153800Thunderbirds-Checkers-
157822Punishers-Checkers-
160838Checkers-Eagles-
162848Moose-Checkers-
163856Checkers-Wolfpack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
167874Bears-Checkers-
170887Checkers-Eagles-
173901Eagles-Checkers-
175919Firebirds-Checkers-
178933Checkers-Islander-
180942Checkers-Thunderbirds-
181948Checkers-Crunch-
183956Admirals-Checkers-
186974Checkers-Crunch-
188979Bears-Checkers-
1921003Comets-Checkers-
1941014Checkers-Wolfpack-
2001039Penguins-Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance21,80911,337
Assistance PCT90.87%94.48%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2762 - 92.07% 173,260$2,079,116$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
717,321$ 1,600,000$ 1,555,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,921$ 475,761$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,851,271$ 141 11,881$ 1,675,221$




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