Essayer le nouveau site
Connexion

Checkers
GP: 36 | W: 25 | L: 9 | OTL: 2 | P: 52
GF: 135 | GA: 110 | PP%: 25.21% | PK%: 80.68%
DG: Dan Rhéaume | Morale : 66 | Moyenne d’équipe : 64
Prochains matchs #568 vs Bears
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Wranglers
20-12-3, 43pts
3
FINAL
5 Checkers
25-9-2, 52pts
Team Stats
W1SéquenceW3
11-6-1Fiche domicile12-3-2
9-6-2Fiche domicile13-6-0
6-4-0Derniers 10 matchs7-2-1
3.40Buts par match 3.75
3.09Buts contre par match 3.06
13.27%Pourcentage en avantage numérique25.21%
80.39%Pourcentage en désavantage numérique80.68%
Checkers
25-9-2, 52pts
6
FINAL
2 PenguinsF
16-18-2, 34pts
Team Stats
W3SéquenceW1
12-3-2Fiche domicile8-9-1
13-6-0Fiche domicile8-9-1
7-2-1Derniers 10 matchs4-5-1
3.75Buts par match 3.50
3.06Buts contre par match 3.42
25.21%Pourcentage en avantage numérique25.45%
80.68%Pourcentage en désavantage numérique76.99%
Bears
18-12-3, 39pts
2024-11-21
Checkers
25-9-2, 52pts
Statistiques d’équipe
W4SéquenceW3
10-6-2Fiche domicile12-3-2
8-6-1Fiche visiteur13-6-0
8-2-010 derniers matchs7-2-1
3.15Buts par match 3.75
3.21Buts contre par match 3.75
21.19%Pourcentage en avantage numérique25.21%
80.49%Pourcentage en désavantage numérique80.68%
Admirals
18-13-5, 41pts
2024-11-24
Checkers
25-9-2, 52pts
Statistiques d’équipe
W3SéquenceW3
10-4-4Fiche domicile12-3-2
8-9-1Fiche visiteur13-6-0
5-3-210 derniers matchs7-2-1
3.36Buts par match 3.75
3.42Buts contre par match 3.75
20.91%Pourcentage en avantage numérique25.21%
81.48%Pourcentage en désavantage numérique80.68%
Checkers
25-9-2, 52pts
2024-11-26
Moose
19-16-2, 40pts
Statistiques d’équipe
W3SéquenceW1
12-3-2Fiche domicile10-6-1
13-6-0Fiche visiteur9-10-1
7-2-110 derniers matchs4-5-1
3.75Buts par match 3.38
3.06Buts contre par match 3.38
25.21%Pourcentage en avantage numérique18.52%
80.68%Pourcentage en désavantage numérique77.44%
Meneurs d'équipe
Buts
Noah Cates
20
Passes
John Gilmour
23
Points
Noah Cates
35
Plus/Moins
Ryan Johnson
16
Victoires
Joseph Woll
18
Pourcentage d’arrêts
Joseph Woll
0.905

Statistiques d’équipe
Buts pour
135
3.75 GFG
Tirs pour
1196
33.22 Avg
Pourcentage en avantage numérique
25.2%
30 GF
Début de zone offensive
43.1%
Buts contre
110
3.06 GAA
Tirs contre
1032
28.67 Avg
Pourcentage en désavantage numérique
80.7%%
17 GA
Début de la zone défensive
37.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,690
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 56
Espoirs49


Historique d'équipe

Saison actuelle25-9-2 (52PTS)
Historique71-35-12 (0.602%)
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)XX100.0067459074718174735873767073574966756702543,500,000$
2Yegor ChinakhovXX100.0063459276708285755874727171625270506702311,700,000$
3Joey AndersonXX100.0054489275727676776373746568735364726702611,800,000$
4Matt LuffXX100.0066459773727584746771717370605162746602721,550,000$
5Hudson FaschingXX100.0073518173757778706470726466696157766602911,700,000$
6Oskar LindblomXX100.0066459974717779706065667364675662756502831,600,000$
7Evgeny SvechnikovXX100.0064459273737375726370706968594962756502831,750,000$
8Jack StudnickaX100.007046897269728270747068706258466062640252900,000$
9Lucas WallmarkX100.0063459472687389707469687166605059756402931,250,000$
10Mikael Pyyhtia (R)X100.006545957266767269617161805545457055630221900,000$
11Joel KellmanX100.006346947170738370656867716554455375630302900,000$
12Ivan Morozov (R)X100.006545757268707069716967646045457060620243750,000$
13Benjamin GleasonX100.0065458775727476724570707456585264756602621,700,000$
14Calle RosenX98.6161459571707070714571687266554853556503031,600,000$
15Carl DahlstromX100.0060449471777375714571657063554756756502921,250,000$
16Jani HakanpaaX100.0070518568707575694565637060654946506403211,000,000$
17Tim ErixonX100.005743977072808069456866696456464234640331800,000$
18Viktor SvedbergX100.005744996977808069456464706248454234630331700,000$
Rayé
1Gemel SmithXXX100.0066528471717670726771717270585053516503021,300,000$
2Maxim ShalunovXX100.006044937173737371607070677048465062640311900,000$
3Brett RitchieXX100.0066459270757175706367687066695353236403131,250,000$
4Iiro PakarinenXX100.006144976971707470616968716658474659630332900,000$
5Greg MckeggXXX100.005842966971706868636563726162485020620322800,000$
6Taylor LeierXX100.006044977169677669656465726357455318620302800,000$
7Jacob MoverareX95.8567448673747376714568707354585164626602621,700,000$
8John GilmourX60.4562449470717373724570697264524750646503121,250,000$
9Ryan Johnson (R) (A)X98.846345897570707873457262725650457056640233900,000$
10Alex GrantX96.335743957173707169456664706257583420640351900,000$
MOYENNE D’ÉQUIPE98.11634592727174767157696871645849565764
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 Woll100.008184787979808080807780625664696502631,500,000$
2Luka Gracnar99.007682827377788381817878515653436403111,500,000$
Rayé
1Zachary Fucale100.00767274777871807475767346505643610293850,000$
MOYENNE D’ÉQUIPE99.6778797876787681787977775354585263
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/RW3620153542004537117389517.09%765218.1266122799000272142.55%4700101.0704000233
2John GilmourCheckers (Flo)D35623294140393643183713.95%3173120.9037102198101162110%000000.7900000110
3Jacob MoverareCheckers (Flo)D3471926-4280544361193211.48%4772521.354483391000055200%000000.7200000211
4Hudson FaschingCheckers (Flo)LW/RW36915241195592489256010.11%860416.801561980000001233.33%3600000.7900001140
5Joey AndersonCheckers (Flo)LW/RW34101424-7100182911124719.01%659917.6357122195000004042.00%5000000.8013000022
6Benjamin GleasonCheckers (Flo)D366182414220483757214710.53%5578121.711562598101160110%000000.6100000310
7Lucas WallmarkCheckers (Flo)C3661723-460205810119655.94%1069719.37291119900004640253.22%94700000.6601000111
8Evgeny SvechnikovCheckers (Flo)LW/RW3611920520213277306314.29%554715.19011214000001050.00%5400000.7300000120
9Carl DahlstromCheckers (Flo)D3621618-610023212516198.00%3563417.6201101000212000%000100.5700000010
10Jack StudnickaCheckers (Flo)C32710174140485863174411.11%759018.4521311700110403050.39%77400000.5801000031
11Ryan JohnsonCheckers (Flo)D250171716100232318590%3948519.4200024000048000%000000.7000000002
12Samuel BlaisPanthersLW/RW143121512023144712246.38%324317.37077839000040162.50%1600001.2300000102
13Calle RosenCheckers (Flo)D235914-7140181539111812.82%2343018.703362468000016200%000000.6500000120
14Maxim ShalunovCheckers (Flo)LW/RW308513110082165164712.31%443714.5900001000001037.93%2900000.5911000001
15Gemel SmithCheckers (Flo)C/LW/RW195813-975181946275510.87%235318.6012311540000230146.90%11300000.7401001102
16Ivan MorozovCheckers (Flo)C2366121380202646152613.04%134314.9400000000000048.49%36500000.7000000101
17Yegor ChinakhovCheckers (Flo)LW/RW153811-3402224428307.14%528519.060225360001190038.24%6800000.7702000002
18Jonas RondbjergPanthersLW/RW294610-220101739144510.26%843515.03000020001831034.48%2900000.4600000110
19Mikael PyyhtiaCheckers (Flo)LW1837102801419399257.69%629316.281237370110300035.71%1400000.6800000100
20Joel KellmanCheckers (Flo)C3637103201539367188.33%22516.97000000110311148.90%31900000.8000000001
21Oskar LindblomCheckers (Flo)LW/RW363710300181430153310.00%53008.34000020002741040.00%2000100.6700000003
22Matt LuffCheckers (Flo)LW/RW21461042020206921385.80%639118.6400010450001290036.00%2500000.5122000002
23Viktor SvedbergCheckers (Flo)D11358120111193233.33%921219.2811225000015100%000000.7500000200
24Iiro PakarinenCheckers (Flo)LW/RW26538200561982226.32%11566.0200000000000044.44%900001.0200000001
25Tim ErixonCheckers (Flo)D111564409374514.29%1322720.7012332100008100%000000.5300000101
26Jani HakanpaaCheckers (Flo)D2022300241020%24321.770000500002000%000000.9200000000
27Brett RitchieCheckers (Flo)LW/RW7011-300027240%2497.02000000000800100.00%200000.4100000000
28Alex GrantCheckers (Flo)D3000-240224000%35518.3900031100003000%00000000000000
29Oskar SundqvistPanthersC/LW/RW4000-200407050%36616.74000000000900100.00%40000000000000
Statistiques d’équipe totales ou en moyenne7041402704104621410617654131440494110.65%3481162716.52316596253107823515713231049.61%292100300.71415002202226
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)2718010.9052.71139600636600000.769132214201
2Luka GracnarCheckers (Flo)136700.8873.196202033292010001013000
3Zachary FucaleCheckers (Flo)41210.8504.501600012800000.333349010
Statistiques d’équipe totales ou en moyenne4425920.8952.982177201081032010163636211


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 GrantCheckers (Flo)D351989-01-20No209 Lbs6 ft3NoNoFree AgentNoNo12024-07-24Pro & Farm900,000$0$0$No------------------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 RosenCheckers (Flo)D301994-02-02No188 Lbs6 ft1NoNoFree AgentNoNo32024-07-07Pro & Farm1,600,000$0$0$No1,600,000$1,600,000$-------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 SmithCheckers (Flo)C/LW/RW301994-04-16No203 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,300,000$0$0$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
Jani HakanpaaCheckers (Flo)D321992-03-01No222 Lbs6 ft7NoNoFree Agent2024-01-28NoNo12024-11-15Pro & Farm1,000,000$0$0$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 Gilmour (sur la masse salariale)Checkers (Flo)D311993-05-17No191 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,250,000$0$0$Yes1,250,000$--------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
Mikael PyyhtiaCheckers (Flo)LW222001-12-17Yes166 Lbs6 ft0NoNoTrade2024-11-08NoNo12024-06-20Pro & 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 JohnsonCheckers (Flo)D232001-07-24Yes195 Lbs6 ft1NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Taylor LeierCheckers (Flo)LW/RW301994-02-15No180 Lbs5 ft10NoNoFree AgentNoNo22024-07-26Pro & Farm800,000$0$0$No800,000$--------No--------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
Yegor ChinakhovCheckers (Flo)LW/RW232001-02-01No178 Lbs6 ft0NoNoTrade2024-11-08NoNo1Pro & Farm1,700,000$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
3128.61197 Lbs6 ft22.031,287,097$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah CatesLucas WallmarkJoey Anderson30023
2Yegor ChinakhovJack StudnickaHudson Fasching30023
3Evgeny SvechnikovIvan MorozovMatt Luff30023
4Mikael PyyhtiaJoel KellmanOskar Lindblom10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tim ErixonBenjamin Gleason35032
2Jani HakanpaaCarl Dahlstrom35032
3Calle RosenViktor Svedberg30032
4Tim ErixonBenjamin Gleason0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah CatesLucas WallmarkJoey Anderson50005
2Yegor ChinakhovJack StudnickaHudson Fasching50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani HakanpaaBenjamin Gleason50005
2Calle RosenTim Erixon50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joel KellmanMikael Pyyhtia50041
2Jack StudnickaOskar Lindblom50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Viktor SvedbergBenjamin Gleason50041
2Jani HakanpaaCalle Rosen50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joel Kellman50050Viktor SvedbergBenjamin Gleason50050
2Jack Studnicka50050Jani HakanpaaCalle Rosen50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkNoah Cates50023
2Jack StudnickaYegor Chinakhov50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tim ErixonBenjamin Gleason50032
2Jani HakanpaaCarl Dahlstrom50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noah CatesLucas WallmarkYegor ChinakhovJani HakanpaaBenjamin Gleason
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaJack StudnickaOskar LindblomViktor SvedbergBenjamin Gleason
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evgeny Svechnikov, Matt Luff, Ivan MorozovMatt Luff, Lucas WallmarkYegor Chinakhov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calle Rosen, Viktor Svedberg, Tim ErixonViktor SvedbergTim Erixon, Carl Dahlstrom
Tirs de pénalité
Noah Cates, Yegor Chinakhov, Joey Anderson, Hudson Fasching, Lucas Wallmark
Gardien
#1 : Joseph Woll, #2 : Luka Gracnar


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
1Americans21100000660110000005321010000013-220.50061218004248425674113793922954141026500.00%40100.00%0684131352.09%580114850.52%29258849.66%885617827262467235
2Bears2010000148-42010000148-40000000000010.2504711004248425664113793922952236301119.09%30100.00%0684131352.09%580114850.52%29258849.66%885617827262467235
3BruinsF33000000945110000004132200000053261.00091726004248425135411379392296520133916425.00%40100.00%0684131352.09%580114850.52%29258849.66%885617827262467235
4Canucks21001000862110000003211000100054141.000813210042484257041137939229642412376233.33%6183.33%0684131352.09%580114850.52%29258849.66%885617827262467235
5Comets11000000523000000000001100000052321.00056110042484253941137939229259613000%3166.67%0684131352.09%580114850.52%29258849.66%885617827262467235
6Crunch1010000023-11010000023-10000000000000.0002460042484253341137939229181113293133.33%40100.00%0684131352.09%580114850.52%29258849.66%885617827262467235
7Eagles11000000642110000006420000000000021.0006121800424842541411379392292868146116.67%20100.00%0684131352.09%580114850.52%29258849.66%885617827262467235
8Firebirds220000001073110000005411100000053241.000101929004248425594113793922962208308337.50%3166.67%0684131352.09%580114850.52%29258849.66%885617827262467235
9Griffins11000000422110000004220000000000021.0004812004248425284113793922932104212150.00%20100.00%0684131352.09%580114850.52%29258849.66%885617827262467235
10Icehogs1010000023-1000000000001010000023-100.00024600424842533411379392292594134125.00%10100.00%0684131352.09%580114850.52%29258849.66%885617827262467235
11Iowa Wild200000201082100000104311000001065141.000101525004248425624113793922970171226500.00%6183.33%1684131352.09%580114850.52%29258849.66%885617827262467235
12Islanders1010000026-41010000026-40000000000000.0002460042484252341137939229289411100.00%2150.00%0684131352.09%580114850.52%29258849.66%885617827262467235
13Marlies1010000045-1000000000001010000045-100.0004812004248425384113793922936114273133.33%20100.00%0684131352.09%580114850.52%29258849.66%885617827262467235
14Monsters11000000642000000000001100000064221.0006111700424842530411379392293378103266.67%4250.00%0684131352.09%580114850.52%29258849.66%885617827262467235
15PenguinsF3300000014771100000042222000000105561.000142842004248425110411379392299031164311218.18%6266.67%0684131352.09%580114850.52%29258849.66%885617827262467235
16Phantoms21100000541000000000002110000054120.500510150042484255641137939229511012306233.33%6183.33%0684131352.09%580114850.52%29258849.66%885617827262467235
17Reign11000000211110000002110000000000021.000246004248425384113793922921114172150.00%20100.00%0684131352.09%580114850.52%29258849.66%885617827262467235
18Roadrunners11000000312000000000001100000031221.000369004248425314113793922930114123266.67%20100.00%0684131352.09%580114850.52%29258849.66%885617827262467235
19Rocket11000000312000000000001100000031221.00036900424842522411379392293771012400.00%5180.00%0684131352.09%580114850.52%29258849.66%885617827262467235
20SenatorsF21100000911-2110000005411010000047-320.500917260042484256941137939229682416246233.33%8275.00%1684131352.09%580114850.52%29258849.66%885617827262467235
21StarsF11000000541000000000001100000054121.000591400424842524411379392292876203133.33%2150.00%0684131352.09%580114850.52%29258849.66%885617827262467235
22Wolf Pack1010000046-2000000000001010000046-200.0004711004248425374113793922932154192150.00%2150.00%0684131352.09%580114850.52%29258849.66%885617827262467235
23Wolves21000001743210000017430000000000030.750712190042484255541137939229601616364125.00%7185.71%0684131352.09%580114850.52%29258849.66%885617827262467235
24Wranglers11000000532110000005320000000000021.000581300424842530411379392292384235120.00%2150.00%0684131352.09%580114850.52%29258849.66%885617827262467235
Total36229010221351102517113000126250121911601010736013520.72213524738200424842511964113793922910323302045621193025.21%881780.68%2684131352.09%580114850.52%29258849.66%885617827262467235
_Since Last GM Reset36229010221351102517113000126250121911601010736013520.72213524738200424842511964113793922910323302045621193025.21%881780.68%2684131352.09%580114850.52%29258849.66%885617827262467235
_Vs Conference24148000028474101163000023835313850000046397300.6258415724100424842580941137939229678220138369801822.50%591181.36%1684131352.09%580114850.52%29258849.66%885617827262467235

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3652W31352473821196103233020456200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
362291022135110
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1711300126250
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1911610107360
Derniers 10 matchs
WLOTWOTL SOWSOL
521011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1193025.21%881780.68%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
411379392294248425
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
684131352.09%580114850.52%29258849.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
885617827262467235


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 - 2024-11-04444Griffins2Checkers4BWSommaire du match
66 - 2024-11-07468Wolves3Checkers2BLXXSommaire du match
68 - 2024-11-09484Checkers5Canucks4AWXSommaire du match
70 - 2024-11-11496Iowa Wild3Checkers4BWXXSommaire du match
72 - 2024-11-13512Checkers2Icehogs3ALSommaire du match
74 - 2024-11-15525Checkers3Phantoms1AWSommaire du match
76 - 2024-11-17536Wranglers3Checkers5BWSommaire du match
78 - 2024-11-19556Checkers6PenguinsF2AWSommaire du match
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
Assistance29,44816,284
Assistance PCT86.61%95.79%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2690 - 89.67% 109,554$1,862,418$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,680,464$ 6,205,000$ 6,205,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,637,757$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,629,296$ 106 34,081$ 3,612,586$




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 Anderson11645561013295510734413.08%15206417.8013183175000010142.95%20.98213
2John Gilmour117246084274411610218413.04%123253121.63121527811012320%10.6600
3Mason Appleton82334982112510215322114.93%9149718.271013234700026152.61%11.0918
4Benjamin Gleason11223578020551399118112.71%165243821.77121426862024420%00.6600
5Gemel Smith1013344772601209028011.79%17175817.41515206100007246.04%00.8827

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 Woll75441050.9032.7438132017417870200.70824
2Luka Gracnar63262360.8883.2031694216915150620.36422
3Zachary Fucale41210.8504.501600012800000.3333
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
16362290102213511025171130001262501219116010107360135213524738200424842511964113793922910323302045621193025.21%881780.68%2684131352.09%580114850.52%29258849.66%885617827262467235
Total Saison régulière11865350224104403677358331600126223185386032190212421718235154440789122922170130134153887127312631314863384102971918423789124.07%2855580.70%32187422251.80%2012388351.82%1031199651.65%2895200627028761560788
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