Essayer le nouveau site
Connexion

Checkers
GP: 28 | W: 19 | L: 8 | OTL: 1 | P: 39
GF: 104 | GA: 89 | PP%: 23.71% | PK%: 80.82%
DG: Dan Rhéaume | Morale : 61 | Moyenne d’équipe : 64
Prochains matchs #444 vs Griffins
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Checkers
19-8-1, 39pts
3
FINAL
1 Roadrunners
14-10-4, 32pts
Team Stats
L1SéquenceW1
9-3-1Fiche domicile8-4-1
10-5-0Fiche domicile6-6-3
8-2-0Derniers 10 matchs4-5-1
3.71Buts par match 3.43
3.18Buts contre par match 3.00
23.71%Pourcentage en avantage numérique21.43%
80.82%Pourcentage en désavantage numérique76.79%
Checkers
19-8-1, 39pts
4
FINAL
5 Marlies
13-10-5, 31pts
Team Stats
L1SéquenceW2
9-3-1Fiche domicile7-4-3
10-5-0Fiche domicile6-6-2
8-2-0Derniers 10 matchs2-5-3
3.71Buts par match 3.57
3.18Buts contre par match 3.54
23.71%Pourcentage en avantage numérique19.05%
80.82%Pourcentage en désavantage numérique85.29%
Griffins
19-5-3, 41pts
2024-11-04
Checkers
19-8-1, 39pts
Statistiques d’équipe
L1SéquenceL1
10-2-2Fiche domicile9-3-1
9-3-1Fiche visiteur10-5-0
6-3-110 derniers matchs8-2-0
3.22Buts par match 3.71
2.67Buts contre par match 3.71
20.93%Pourcentage en avantage numérique23.71%
78.31%Pourcentage en désavantage numérique80.82%
Wolves
8-11-5, 21pts
2024-11-07
Checkers
19-8-1, 39pts
Statistiques d’équipe
SOL1SéquenceL1
5-6-3Fiche domicile9-3-1
3-5-2Fiche visiteur10-5-0
3-4-310 derniers matchs8-2-0
2.75Buts par match 3.71
3.42Buts contre par match 3.71
17.50%Pourcentage en avantage numérique23.71%
80.00%Pourcentage en désavantage numérique80.82%
Checkers
19-8-1, 39pts
2024-11-09
Canucks
13-15-0, 26pts
Statistiques d’équipe
L1SéquenceL1
9-3-1Fiche domicile7-7-0
10-5-0Fiche visiteur6-8-0
8-2-010 derniers matchs4-6-0
3.71Buts par match 2.93
3.18Buts contre par match 2.93
23.71%Pourcentage en avantage numérique22.78%
80.82%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Buts
Noah Cates
15
Passes
John Gilmour
19
Points
Noah Cates
26
Plus/Moins
Ryan Johnson
16
Victoires
Joseph Woll
15
Pourcentage d’arrêts
Joseph Woll
0.904

Statistiques d’équipe
Buts pour
104
3.71 GFG
Tirs pour
951
33.96 Avg
Pourcentage en avantage numérique
23.7%
23 GF
Début de zone offensive
44.0%
Buts contre
89
3.18 GAA
Tirs contre
789
28.18 Avg
Pourcentage en désavantage numérique
80.8%%
14 GA
Début de la zone défensive
36.8%
Informations de l'équipe

Directeur généralDan Rhéaume
EntraîneurSheldon Keefe
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineNoah Cates
Assistant #1Ryan Johnson
Assistant #2Joey Anderson


Informations de l’aréna

Capacité3,000
Assistance2,708
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 56
Espoirs51


Historique d'équipe

Saison actuelle19-8-1 (39PTS)
Historique65-34-10 (0.596%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)5-6
Coupe Stanley0


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
1Noah Cates (C)XX100.0067459074718174735873767073574966686702543,500,000$
2Joey Anderson (A)XX100.0054489275727676776373746568735364666702611,800,000$
3Matt LuffXX100.0066459773727584746771717370605162676602721,550,000$
4Hudson FaschingXX100.0073518173757778706470726466696157696602911,700,000$
5Oskar LindblomXX100.0066459974717779706065667364675662686502831,600,000$
6Evgeny SvechnikovXX100.0064459273737375726370706968594962686502831,750,000$
7Jack StudnickaX100.007046897269728270747068706258466055640252900,000$
8Lucas WallmarkX99.0063459472687389707469687166605059686402931,250,000$
9Maxim ShalunovXX100.006044937173737371607070677048465068640311900,000$
10Joel KellmanX100.006346947170738370656867716554455368630302900,000$
11Iiro PakarinenXX100.006144976971707470616968716658474659630332900,000$
12Ivan Morozov (R)X100.006545757268707069716967646045457058620243750,000$
13Benjamin GleasonX100.0065458775727476724570707456585264686602621,700,000$
14Jacob MoverareX100.0067448673747376714568707354585164686602621,700,000$
15Carl DahlstromX100.0060449471777375714571657063554756686502921,250,000$
16John GilmourX100.0062449470717373724570697264524750686503121,250,000$
17Tim ErixonX100.005743977072808069456866696456464227640331800,000$
18Viktor SvedbergX100.005744996977808069456464706248454227630331700,000$
Rayé
1Gemel SmithXX100.0066528471717670726771717270585053566503021,300,000$
2Brett RitchieXX100.0066459270757175706367687066695353316403131,250,000$
3Greg MckeggXXX100.005842966971706868636563726162485022620322800,000$
4Calle RosenX80.6161459571707070714571687266554853546503031,600,000$
5Ryan Johnson (R) (A)X80.846345897570707873457262725650457056640233900,000$
6Alex GrantX78.335743957173707169456664706257583420640351900,000$
MOYENNE D’ÉQUIPE97.38634592727274767157696870645850565665
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 Woll100.008184787979808080807780625664656502631,500,000$
2Zachary Fucale100.00767274777871807475767346505646610293850,000$
Rayé
1Luka Gracnar99.007682827377788381817878515653416403111,500,000$
MOYENNE D’ÉQUIPE99.6778797876787681787977775354585163
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe87857469788388CAN454100,000$


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
1Noah CatesCheckers (Flo)LW/RW281511265160372592317416.30%450518.056392483000261041.03%3900001.0302000222
2John GilmourCheckers (Flo)D2831922212029223613328.33%2759321.191781783101154000%000000.7400000000
3Jacob MoverareCheckers (Flo)D2871421-1240393757182912.28%4061822.104373182000049200%000000.6800000211
4Benjamin GleasonCheckers (Flo)D285152012180312546153710.87%4160721.710552082101148110%000000.6600000210
5Lucas WallmarkCheckers (Flo)C2851419-66016448215526.10%854219.3927917740004550251.91%75900000.7001000111
6Joey AndersonCheckers (Flo)LW/RW2791019-680122390175410.00%447417.594481878000004036.36%4400000.8002000021
7Ryan JohnsonCheckers (Flo)D250171716100232318590%3948519.4200024000048000%000000.7000000002
8Hudson FaschingCheckers (Flo)LW/RW2851217-317544166716447.46%447617.001561672000001129.03%3100000.7100001120
9Carl DahlstromCheckers (Flo)D2821416-860201818151511.11%2547516.970110000029000%000100.6700000010
10Evgeny SvechnikovCheckers (Flo)LW/RW289716420172757234715.79%342015.00000213000001046.67%4500000.7600000110
11Calle RosenCheckers (Flo)D225914-7140161539111712.82%2141118.703362466000015200%000000.6800000120
12Maxim ShalunovCheckers (Flo)LW/RW288513100082164154412.50%440514.5000001000001037.04%2700000.6411000001
13Jack StudnickaCheckers (Flo)C2457120120414545133511.11%644018.3521311610110282049.15%59000000.5401000030
14Ivan MorozovCheckers (Flo)C1955101160162238111913.16%127614.5800000000000048.82%29700000.7200000101
15Joel KellmanCheckers (Flo)C2836912014272851310.71%11987.09000000110281149.80%25500000.9100000001
16Gemel SmithPanthersLW/RW15459-575141439204710.26%128218.8502210450000230147.83%2300000.6401001102
17Oskar LindblomCheckers (Flo)LW/RW2826810014112214279.09%52388.50000010002621033.33%1800100.6700000002
18Iiro PakarinenCheckers (Flo)LW/RW21527200551972026.32%11266.0000000000000050.00%600001.1100000001
19Matt LuffCheckers (Flo)LW/RW1324640012133912205.13%324819.080009350001220030.00%1000000.4811000001
20Philip TomasinoPanthersLW/RW11231002161216.67%11818.650113600000100%100003.2200000100
21Brett RitchieCheckers (Flo)LW/RW7011-300027240%2497.02000000000800100.00%200000.4100000000
22Tim ErixonCheckers (Flo)D3011200311110%45618.840110500003000%000000.3500000000
23Alex GrantCheckers (Flo)D3000-240224000%35518.3900031100003000%00000000000000
24Viktor SvedbergCheckers (Flo)D3000-200263010%45919.720000000004000%00000000000000
Statistiques d’équipe totales ou en moyenne491100186286281641041744591728064310.91%252806616.432343662078102241347418649.05%214700200.7129002131616
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)2215010.9042.65115300515340000.77891810201
2Luka GracnarCheckers (Flo)103700.8643.94457203022001000812000
3Zachary FucaleCheckers (Flo)21100.8005.5376007350000026000
Statistiques d’équipe totales ou en moyenne3419810.8883.131687208878901092828201


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 Type Salaire actuel Plafond 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
Alex Grant (sur la masse salariale)Checkers (Flo)D351989-01-20No209 Lbs6 ft3NoNoFree AgentNoNo12024-07-24Pro & Farm900,000$0$0$Yes------------------Lien
Benjamin GleasonCheckers (Flo)D261998-03-25No190 Lbs6 ft1NoNoN/ANoNo22024-04-29Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Brett RitchieCheckers (Flo)LW/RW311993-07-01No215 Lbs6 ft4NoNoFree AgentNoNo32024-07-12Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------NoNo-------Lien
Calle Rosen (sur la masse salariale)Checkers (Flo)D301994-02-02No188 Lbs6 ft1NoNoFree AgentNoNo32024-07-07Pro & Farm1,600,000$0$0$Yes1,600,000$1,600,000$-------NoNo-------Lien
Carl DahlstromCheckers (Flo)D291995-01-28No231 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Evgeny SvechnikovCheckers (Flo)LW/RW281996-10-31No207 Lbs6 ft2NoNoFree AgentNoNo32024-07-02Pro & Farm1,750,000$0$0$No1,750,000$1,750,000$-------NoNo-------Lien
Gemel SmithPanthersLW/RW301994-04-16No203 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,300,000$1,300,000$871,351$No1,300,000$--------No--------Lien
Greg MckeggCheckers (Flo)C/LW/RW321992-06-12No195 Lbs6 ft0NoNoFree AgentNoNo22024-07-26Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Hudson FaschingCheckers (Flo)LW/RW291995-07-28No204 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Iiro PakarinenCheckers (Flo)LW/RW331991-08-25No198 Lbs6 ft0NoNoFree AgentNoNo22024-07-22Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Ivan MorozovCheckers (Flo)C242000-05-05Yes178 Lbs6 ft1NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Jack StudnickaCheckers (Flo)C251999-02-18No187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Jacob MoverareCheckers (Flo)D261998-08-31No210 Lbs6 ft3NoNoN/ANoNo22024-04-29Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Joel KellmanCheckers (Flo)C301994-05-25No192 Lbs5 ft11NoNoFree AgentNoNo22024-07-22Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Joey AndersonCheckers (Flo)LW/RW261998-06-19No207 Lbs6 ft0NoNoN/ANoNo12024-04-29Pro & Farm1,800,000$0$0$No------------------Lien
John GilmourCheckers (Flo)D311993-05-17No191 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Joseph WollCheckers (Flo)G261998-07-12No202 Lbs6 ft3NoNoN/ANoNo32024-04-29Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Lucas WallmarkCheckers (Flo)C291995-09-05No178 Lbs6 ft0NoNoFree AgentNoNo32024-07-10Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------NoNo-------Lien
Luka GracnarCheckers (Flo)G311993-10-31No187 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Matt LuffCheckers (Flo)LW/RW271997-05-05No196 Lbs6 ft2NoNoTrade2024-05-15NoNo2Pro & Farm1,550,000$0$0$No1,550,000$--------No--------Lien
Maxim ShalunovCheckers (Flo)LW/RW311993-01-31No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Noah CatesCheckers (Flo)LW/RW251999-02-05No194 Lbs6 ft2NoNoN/ANoNo4Pro & Farm3,500,000$0$0$No3,500,000$3,500,000$3,500,000$------NoNoNo------Lien
Oskar LindblomCheckers (Flo)LW/RW281996-08-15No191 Lbs6 ft1NoNoFree AgentNoNo32024-07-10Pro & Farm1,600,000$0$0$No1,600,000$1,600,000$-------NoNo-------Lien
Ryan Johnson (sur la masse salariale)Checkers (Flo)D232001-07-24Yes195 Lbs6 ft1NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$Yes900,000$900,000$-------NoNo-------Lien
Tim ErixonCheckers (Flo)D331991-02-24No198 Lbs6 ft2NoNoFree AgentNoNo12024-07-28Pro & Farm800,000$0$0$No------------------Lien
Viktor SvedbergCheckers (Flo)D331991-05-24No231 Lbs6 ft9NoNoFree AgentNoNo12024-07-28Pro & Farm700,000$0$0$No------------------Lien
Zachary FucaleCheckers (Flo)G291995-05-28No187 Lbs6 ft2NoNoFree AgentNoNo32024-07-12Pro & Farm850,000$0$0$No850,000$850,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2728.89199 Lbs6 ft22.151,314,815$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah CatesLucas WallmarkMatt Luff30023
2Evgeny SvechnikovJack StudnickaJoey Anderson30023
3Maxim ShalunovIvan MorozovHudson Fasching30023
4Oskar LindblomJoel KellmanIiro Pakarinen10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Viktor SvedbergBenjamin Gleason35032
2Jacob MoverareCarl Dahlstrom35032
3John GilmourTim Erixon30032
4Viktor SvedbergBenjamin Gleason0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah CatesLucas WallmarkMatt Luff50005
2Evgeny SvechnikovJack StudnickaJoey Anderson50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MoverareBenjamin Gleason50014
2John GilmourTim Erixon50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkOskar Lindblom50041
2Jack StudnickaMatt Luff50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Viktor SvedbergBenjamin Gleason50041
2Jacob MoverareJohn Gilmour50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lucas Wallmark50050Viktor SvedbergBenjamin Gleason50050
2Jack Studnicka50050Jacob MoverareJohn Gilmour50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkNoah Cates50023
2Jack StudnickaJoey Anderson50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Viktor SvedbergBenjamin Gleason50032
2Jacob MoverareCarl Dahlstrom50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noah CatesLucas WallmarkJoey AndersonJacob MoverareBenjamin Gleason
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oskar LindblomLucas WallmarkMatt LuffViktor SvedbergBenjamin Gleason
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Hudson Fasching, Maxim Shalunov, Ivan MorozovHudson Fasching, Maxim ShalunovNoah Cates
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
John Gilmour, Viktor Svedberg, Tim ErixonViktor SvedbergTim Erixon, Carl Dahlstrom
Tirs de pénalité
Noah Cates, Joey Anderson, Lucas Wallmark, Jack Studnicka, Matt Luff
Gardien
#1 : Joseph Woll, #2 : Zachary Fucale, #3 : 0


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
1Americans21100000660110000005321010000013-220.50061218003536322673342883251354141026500.00%40100.00%0541106250.94%44588950.06%22346547.96%692484634202362183
2Bears2010000148-42010000148-40000000000010.2504711003536322663342883251352236301119.09%30100.00%0541106250.94%44588950.06%22346547.96%692484634202362183
3BruinsF33000000945110000004132200000053261.00091726003536322135334288325136520133916425.00%40100.00%0541106250.94%44588950.06%22346547.96%692484634202362183
4Canucks11000000321110000003210000000000021.000347003536322333342883251328101015200.00%5180.00%0541106250.94%44588950.06%22346547.96%692484634202362183
5Comets11000000523000000000001100000052321.00056110035363223933428832513259613000%3166.67%0541106250.94%44588950.06%22346547.96%692484634202362183
6Crunch1010000023-11010000023-10000000000000.0002460035363223333428832513181113293133.33%40100.00%0541106250.94%44588950.06%22346547.96%692484634202362183
7Eagles11000000642110000006420000000000021.0006121800353632241334288325132868146116.67%20100.00%0541106250.94%44588950.06%22346547.96%692484634202362183
8Firebirds220000001073110000005411100000053241.000101929003536322593342883251362208308337.50%3166.67%0541106250.94%44588950.06%22346547.96%692484634202362183
9Iowa Wild10000010651000000000001000001065121.00069150035363223033428832513378812300.00%40100.00%1541106250.94%44588950.06%22346547.96%692484634202362183
10Islanders1010000026-41010000026-40000000000000.0002460035363222333428832513289411100.00%2150.00%0541106250.94%44588950.06%22346547.96%692484634202362183
11Marlies1010000045-1000000000001010000045-100.0004812003536322383342883251336114273133.33%20100.00%0541106250.94%44588950.06%22346547.96%692484634202362183
12Monsters11000000642000000000001100000064221.0006111700353632230334288325133378103266.67%4250.00%0541106250.94%44588950.06%22346547.96%692484634202362183
13PenguinsF22000000853110000004221100000043141.000816240035363227433428832513541710339222.22%4175.00%0541106250.94%44588950.06%22346547.96%692484634202362183
14Phantoms1010000023-1000000000001010000023-100.00024600353632227334288325132861016300.00%5180.00%0541106250.94%44588950.06%22346547.96%692484634202362183
15Reign11000000211110000002110000000000021.000246003536322383342883251321114172150.00%20100.00%0541106250.94%44588950.06%22346547.96%692484634202362183
16Roadrunners11000000312000000000001100000031221.000369003536322313342883251330114123266.67%20100.00%0541106250.94%44588950.06%22346547.96%692484634202362183
17Rocket11000000312000000000001100000031221.00036900353632222334288325133771012400.00%5180.00%0541106250.94%44588950.06%22346547.96%692484634202362183
18SenatorsF21100000911-2110000005411010000047-320.500917260035363226933428832513682416246233.33%8275.00%1541106250.94%44588950.06%22346547.96%692484634202362183
19StarsF11000000541000000000001100000054121.000591400353632224334288325132876203133.33%2150.00%0541106250.94%44588950.06%22346547.96%692484634202362183
20Wolf Pack1010000046-2000000000001010000046-200.0004711003536322373342883251332154192150.00%2150.00%0541106250.94%44588950.06%22346547.96%692484634202362183
21Wolves11000000514110000005140000000000021.000581300353632235334288325132598154125.00%3166.67%0541106250.94%44588950.06%22346547.96%692484634202362183
Total281880001110489151393000014739815950001057507390.69610419029400353632295133428832513789255170424972323.71%731480.82%2541106250.94%44588950.06%22346547.96%692484634202362183
_Since Last GM Reset281880001110489151393000014739815950001057507390.69610419029400353632295133428832513789255170424972323.71%731480.82%2541106250.94%44588950.06%22346547.96%692484634202362183
_Vs Conference2112800001736851063000013632411650000037361250.5957313520800353632272433428832513584195122324751621.33%521080.77%1541106250.94%44588950.06%22346547.96%692484634202362183

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2839L110419029495178925517042400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
28188001110489
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
139300014739
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
159500105750
Derniers 10 matchs
WLOTWOTL SOWSOL
720010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
972323.71%731480.82%2
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
334288325133536322
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
541106250.94%44588950.06%22346547.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
692484634202362183


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
2 - 2024-09-0412Checkers5Firebirds3AWSommaire du match
4 - 2024-09-0625Bears3Checkers2BLXXSommaire du match
6 - 2024-09-0839Checkers1Americans3ALSommaire du match
8 - 2024-09-1056SenatorsF4Checkers5BWSommaire du match
10 - 2024-09-1270Checkers4PenguinsF3AWSommaire du match
12 - 2024-09-1480Islanders6Checkers2BLSommaire du match
13 - 2024-09-1596Checkers3BruinsF2AWSommaire du match
16 - 2024-09-18115Wolves1Checkers5BWSommaire du match
18 - 2024-09-20128Checkers2Phantoms3ALSommaire du match
20 - 2024-09-22142Checkers4SenatorsF7ALSommaire du match
21 - 2024-09-23155PenguinsF2Checkers4BWSommaire du match
24 - 2024-09-26177BruinsF1Checkers4BWSommaire du match
26 - 2024-09-28187Checkers4Wolf Pack6ALSommaire du match
27 - 2024-09-29202Checkers5Comets2AWSommaire du match
30 - 2024-10-02221Firebirds4Checkers5BWSommaire du match
35 - 2024-10-07246Crunch3Checkers2BLSommaire du match
37 - 2024-10-09259Checkers3Rocket1AWSommaire du match
39 - 2024-10-11273Eagles4Checkers6BWSommaire du match
41 - 2024-10-13293Checkers2BruinsF1AWSommaire du match
43 - 2024-10-15304Checkers5StarsF4AWSommaire du match
45 - 2024-10-17318Reign1Checkers2BWSommaire du match
47 - 2024-10-19333Checkers6Monsters4AWSommaire du match
49 - 2024-10-21346Bears5Checkers2BLSommaire du match
51 - 2024-10-23367Canucks2Checkers3BWSommaire du match
53 - 2024-10-25381Checkers6Iowa Wild5AWXXSommaire du match
56 - 2024-10-28401Americans3Checkers5BWSommaire du match
58 - 2024-10-30414Checkers3Roadrunners1AWSommaire du match
61 - 2024-11-02435Checkers4Marlies5ALSommaire du match
63 - 2024-11-04444Griffins-Checkers-
66 - 2024-11-07468Wolves-Checkers-
68 - 2024-11-09484Checkers-Canucks-
70 - 2024-11-11496Iowa Wild-Checkers-
72 - 2024-11-13512Checkers-Icehogs-
74 - 2024-11-15525Checkers-Phantoms-
76 - 2024-11-17536Wranglers-Checkers-
78 - 2024-11-19556Checkers-PenguinsF-
80 - 2024-11-21568Bears-Checkers-
83 - 2024-11-24592Admirals-Checkers-
85 - 2024-11-26604Checkers-Moose-
87 - 2024-11-28621Checkers-Islanders-
88 - 2024-11-29634Thunderbirds-Checkers-
91 - 2024-12-02657Crunch-Checkers-
93 - 2024-12-04668Checkers-Condors-
96 - 2024-12-07692Moose-Checkers-
98 - 2024-12-09701Checkers-Rocket-
100 - 2024-12-11723Rocket-Checkers-
102 - 2024-12-13737Checkers-Barracuda-
104 - 2024-12-15751Checkers-Comets-
106 - 2024-12-17760Americans-Checkers-
108 - 2024-12-19773Checkers-SenatorsF-
110 - 2024-12-21790Checkers-Moose-
111 - 2024-12-22797SenatorsF-Checkers-
113 - 2024-12-24809Checkers-Gulls-
115 - 2024-12-26827PenguinsF-Checkers-
118 - 2024-12-29847Checkers-Firebirds-
119 - 2024-12-30861Islanders-Checkers-
122 - 2025-01-02876Checkers-Wolf Pack-
124 - 2025-01-04891Wolf Pack-Checkers-
126 - 2025-01-06912Checkers-Islanders-
127 - 2025-01-07921Phantoms-Checkers-
131 - 2025-01-11950Moose-Checkers-
132 - 2025-01-12960Checkers-Bears-
136 - 2025-01-16981Islanders-Checkers-
138 - 2025-01-18999Checkers-Wolves-
140 - 2025-01-201015Firebirds-Checkers-
141 - 2025-01-211028Checkers-Crunch-
144 - 2025-01-241048Admirals-Checkers-
146 - 2025-01-261059Checkers-Bears-
147 - 2025-01-271070Checkers-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-291083Phantoms-Checkers-
150 - 2025-01-301090Checkers-Wolves-
153 - 2025-02-021113Wolf Pack-Checkers-
158 - 2025-02-071144Rocket-Checkers-
162 - 2025-02-111171Marlies-Checkers-
164 - 2025-02-131184Checkers-Americans-
166 - 2025-02-151202Marlies-Checkers-
168 - 2025-02-171217Checkers-Silver Knights-
173 - 2025-02-221238Comets-Checkers-
174 - 2025-02-231250Checkers-Silver Knights-
177 - 2025-02-261266BruinsF-Checkers-
181 - 2025-03-021295Comets-Checkers-
183 - 2025-03-041307Checkers-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3415
Assistance22,74412,463
Assistance PCT87.48%95.87%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2708 - 90.27% 110,569$1,437,395$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,203,893$ 3,160,000$ 3,160,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,170,920$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,095,928$ 124 17,622$ 2,185,128$




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
1Joey Anderson1094452964274910132313.62%13193917.8012152772000010141.33%20.99112
2Mason Appleton82334982112510215322114.93%9149718.271013234700026152.61%11.0918
3John Gilmour11021567725421068817711.86%119239321.75101525771012210%10.6400
4Benjamin Gleason10422547618511227917012.94%151226421.78111425812024420%00.6700
5Gemel Smith973241736601168527311.72%16168817.41415196000007245.54%00.8627

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
1Joseph Woll70411050.9022.7235712016216610200.70020
2Luka Gracnar60232360.8853.3130074216614430620.36422
3Zachary Fucale21100.8005.53760073500000
4Scott Darling10100.7147.74310041400000

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
Saison régulière
1582432601228305257484122130011416113526412113011141441222210230554284722128829210269186288492257235269951512802596123.55%1973880.71%11503290951.67%1432273552.36%739140852.49%2010138918746141092553
162818800011104891513930000147398159500010575073910419029400353632295133428832513789255170424972323.71%731480.82%2541106250.94%44588950.06%22346547.96%692484634202362183
Total Saison régulière110613401239409346635431160011520817434563018011242011722914140973211412216311812412364211961172124770314195468517043568423.60%2705280.74%32044397151.47%1877362451.79%962187351.36%2703187325098171455736
Séries éliminatoires
15115600000433946330000023203523000002019110437611910141711133610513010013421116616819736.84%27388.89%017735350.14%18137548.27%11320654.85%2471692677914771
Total Séries éliminatoires115600000433946330000023203523000002019110437611910141711133610513010013421116616819736.84%27388.89%017735350.14%18137548.27%11320654.85%2471692677914771

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
1Hudson Fasching1166123111483517.14%019417.64033100001145.00%01.2400
2Kenny Agostino11471132412429.52%519617.851011000001037.50%01.1200
3Carl Dahlstrom112911241471414.29%923521.4113460000000%00.9300
4Gemel Smith116410-3111472425.00%119517.76112300001063.64%01.0200
5Jack Studnicka11448-3413202416.67%118917.27112400010049.21%00.8400

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
1Luka Gracnar104310.8903.38461002623700000
2Joseph Woll61200.8853.60200201210401100