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Checkers
GP: 10 | W: 6 | L: 4
GF: 31 | GA: 19 | PP%: 18.52% | PK%: 90.91%
DG: Dan Rhéaume | Morale : 94 | Moyenne d’équipe : 65
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Centre de jeu
Wolf Pack
8-4-0, 16pts
4
FINAL
2 Checkers
6-4-0, 12pts
Team Stats
W3SéquenceL3
4-2-0Fiche domicile3-2-0
4-2-0Fiche domicile3-2-0
6-3-1Derniers 10 matchs6-4-0
3.00Buts par match 3.10
2.25Buts contre par match 1.90
24.00%Pourcentage en avantage numérique18.52%
87.10%Pourcentage en désavantage numérique90.91%
Checkers
6-4-0, 12pts
1
FINAL
3 Wolf Pack
8-4-0, 16pts
Team Stats
L3SéquenceW3
3-2-0Fiche domicile4-2-0
3-2-0Fiche domicile4-2-0
6-4-0Derniers 10 matchs6-3-1
3.10Buts par match 3.00
1.90Buts contre par match 2.25
18.52%Pourcentage en avantage numérique24.00%
90.91%Pourcentage en désavantage numérique87.10%
Meneurs d'équipe
Buts
Joey Anderson
8
Passes
Benjamin Gleason
8
Points
Joey Anderson
12
Plus/Moins
Joey Anderson
5
Victoires
Joseph Woll
6
Pourcentage d’arrêts
Luka Gracnar
0.952

Statistiques d’équipe
Buts pour
31
3.10 GFG
Tirs pour
300
30.00 Avg
Pourcentage en avantage numérique
18.5%
5 GF
Début de zone offensive
41.2%
Buts contre
19
1.90 GAA
Tirs contre
250
25.00 Avg
Pourcentage en désavantage numérique
90.9%%
2 GA
Début de la zone défensive
40.0%
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
Assistance2,826
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 56
Espoirs48


Historique d'équipe

Saison actuelle6-4
Historique46-26-9 (0.568%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)11 - 10 (0.524%)
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)XX100.0067459074718174735873767073574966906702643,500,000$
2Yegor ChinakhovXX100.0063459276708285755874727171625270836702411,700,000$
3Joey Anderson (A)XX100.0054489275727676776373746568735364836702611,800,000$
4Matt LuffXX100.0066459773727584746771717370605162906602721,550,000$
5Pavel DorofeyevXX100.006345907371807474607276727449477076660242900,000$
6Hudson FaschingXX100.0073518173757778706470726466696157866602911,700,000$
7Oskar LindblomXX100.0066459974717779706065667364675662906502831,600,000$
8Evgeny SvechnikovXX100.0064459273737375726370706968594962906502831,750,000$
9Gemel SmithXXX100.0066528471717670726771717270585053476503021,300,000$
10Jack StudnickaX100.007046897269728270747068706258466087640262900,000$
11Lucas WallmarkX100.0063459472687389707469687166605059906402931,250,000$
12Joel KellmanX100.006346947170738370656867716554455390630302900,000$
13Mason Lohrei (R)X100.006645867474767873457369776350457075660241900,000$
14Benjamin GleasonX100.0065458775727476724570707456585264906602621,700,000$
15Jacob MoverareX100.0067448673747376714568707354585164876602621,700,000$
16Calle RosenX100.0061459571707070714571687266554853776503131,600,000$
17John GilmourX100.0062449470717373724570697264524750796503121,250,000$
18Ryan Johnson (R) (A)X100.006345897570707873457262725650457079640233900,000$
Rayé
1Maxim ShalunovXX100.006044937173737371607070677048465037640321900,000$
2Patrick RussellXX100.0069458572717386676369687361645047486403211,200,000$
3Brett RitchieXX100.0066459270757175706367687066695353196403131,250,000$
4Ivan Morozov (R)X100.006545757268707069716967646045457057620243750,000$
5Greg MckeggXXX100.005842966971706868636563726162485020620322800,000$
6Taylor LeierXX100.006044977169677669656465726357455320620312800,000$
7Jani HakanpaaX100.0070518568707575694565637060654946196403311,000,000$
8Alex GrantX100.005743957173707169456664706257583419640361900,000$
9Tim ErixonX100.005743977072808069456866696456464219640341800,000$
10Viktor SvedbergX100.005744996977808069456464706248454246630331700,000$
MOYENNE D’ÉQUIPE100.00644591727274777157696871645849576465
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 Woll100.008184787979808080807780625664736502631,500,000$
2Luka Gracnar100.007682827377788381817878515653826403111,500,000$
Rayé
1Zachary Fucale100.00767274777871807475767346505625610293850,000$
MOYENNE D’ÉQUIPE100.0078797876787681787977775354586063
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
1Joey AndersonCheckers (Flo)LW/RW108412500383282325.00%117617.65213724000001036.36%1100011.3600000201
2Benjamin GleasonCheckers (Flo)D102810360721921410.53%1321921.90022924000018100%000000.9100000011
3Noah CatesCheckers (Flo)LW/RW1035854016112421912.50%317917.95112724000010047.06%1700000.8900000020
4Lucas WallmarkCheckers (Flo)C10257500111119111910.53%217717.77022324000000153.15%22200000.7900000011
5Yegor ChinakhovCheckers (Flo)LW/RW1025730085389275.26%118218.25011626000020041.67%1200000.7700000100
6Jacob MoverareCheckers (Flo)D1016746099136127.69%721721.72022825000015000%000000.6400000100
7John GilmourCheckers (Flo)D10336400761251625.00%821521.54000125000014000%000000.5600000011
8Calle RosenCheckers (Flo)D100552001574270%417117.160000100006000%000000.5800000000
9Mason LohreiCheckers (Flo)D6145-1805161616.67%1013121.8611241500007000%000000.7600000010
10Jack StudnickaCheckers (Flo)C10123240618203115.00%218618.650003180000191061.80%23300000.3200000000
11Ryan JohnsonCheckers (Flo)D1012330076102610.00%719319.33000210000018000%000000.3100000000
12Hudson FaschingCheckers (Flo)LW/RW1021331351471351415.38%016016.08101311000002081.82%1100000.3700010000
13Matt LuffCheckers (Flo)LW/RW711214053140107.14%18812.69000000000120150.00%400000.4500000001
14Evgeny SvechnikovCheckers (Flo)LW/RW1020210036219109.52%115315.3500000000000030.77%1300000.2600000000
15Pavel DorofeyevCheckers (Flo)LW/RW6112-15533213144.76%110717.98000615000001050.00%1000000.3700001010
16Ivan MorozovCheckers (Flo)C70112401184150%110915.5700000000000046.03%12600000.1800000000
17Joel KellmanCheckers (Flo)C10011000293430%0797.92000000000210037.96%10800000.2500000000
18Oskar LindblomCheckers (Flo)LW/RW71010006315186.67%1578.18000000002160066.67%600000.3500000000
19Carl DahlstromPanthersD4011320432000%16716.880000000001000%000000.3000000000
20Iiro PakarinenPanthersLW/RW4011100202060%0235.870000000000000%300000.8500000000
21Jonas RondbjergPanthersLW/RW3000000201120%0258.37000000000500100.00%10000000000000
22Mikael PyyhtiaPanthersC/LW/RW3000000113030%1227.460000000004000%00000000000000
23Gemel SmithCheckers (Flo)C/LW/RW3000000334340%05418.1000008000000055.56%540000000000000
Statistiques d’équipe totales ou en moyenne1803156874556101501303007823910.33%65299916.66510155925800021666252.11%83100010.5800011475
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)106400.9211.99543031822900000100201
2Luka GracnarCheckers (Flo)20000.9520.94640012100000010000
Statistiques d’équipe totales ou en moyenne126400.9241.88607031925000001010201


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex GrantCheckers (Flo)D361989-01-20CANNo209 Lbs6 ft3NoNoFree AgentNoNo12024-07-24FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Benjamin GleasonCheckers (Flo)D261998-03-25USANo190 Lbs6 ft1NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Brett RitchieCheckers (Flo)LW/RW311993-07-01CANNo215 Lbs6 ft4NoNoFree AgentNoNo32024-07-12FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien
Calle RosenCheckers (Flo)D311994-02-02SWENo188 Lbs6 ft1NoNoFree AgentNoNo32024-07-07FalseFalsePro & Farm1,600,000$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------Lien
Evgeny SvechnikovCheckers (Flo)LW/RW281996-10-31RUSNo207 Lbs6 ft2NoNoFree AgentNoNo32024-07-02FalseFalsePro & Farm1,750,000$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien
Gemel SmithCheckers (Flo)C/LW/RW301994-04-16CANNo203 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Greg MckeggCheckers (Flo)C/LW/RW321992-06-12CANNo195 Lbs6 ft0NoNoFree AgentNoNo22024-07-26FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Hudson FaschingCheckers (Flo)LW/RW291995-07-28USANo204 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Ivan MorozovCheckers (Flo)C242000-05-05RUSYes178 Lbs6 ft1NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Jack StudnickaCheckers (Flo)C261999-02-18CANNo187 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Jacob MoverareCheckers (Flo)D261998-08-31SWENo210 Lbs6 ft3NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Jani HakanpaaCheckers (Flo)D331992-03-01FINNo222 Lbs6 ft7NoNoFree Agent2024-01-28NoNo12024-11-15FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Joel KellmanCheckers (Flo)C301994-05-25SWENo192 Lbs5 ft11NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Joey AndersonCheckers (Flo)LW/RW261998-06-19USANo207 Lbs6 ft0NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
John GilmourCheckers (Flo)D311993-05-17CANNo191 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien
Joseph WollCheckers (Flo)G261998-07-12USANo202 Lbs6 ft3NoNoN/ANoNo32024-04-29FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Lucas WallmarkCheckers (Flo)C291995-09-05SWENo178 Lbs6 ft0NoNoFree AgentNoNo32024-07-10FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien
Luka GracnarCheckers (Flo)G311993-10-31SVKNo187 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Mason LohreiCheckers (Flo)D242001-01-17USAYes211 Lbs6 ft5NoNoFree AgentNoNo12024-06-18FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Matt LuffCheckers (Flo)LW/RW271997-05-05CANNo196 Lbs6 ft2NoNoTrade2024-05-15NoNo2FalseFalsePro & Farm1,550,000$0$0$No1,550,000$--------1,550,000$--------No--------Lien
Maxim ShalunovCheckers (Flo)LW/RW321993-01-31RUSNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Noah CatesCheckers (Flo)LW/RW261999-02-05USANo194 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm3,500,000$0$0$No3,500,000$3,500,000$3,500,000$------3,500,000$3,500,000$3,500,000$------NoNoNo------Lien
Oskar LindblomCheckers (Flo)LW/RW281996-08-15SWENo191 Lbs6 ft1NoNoFree AgentNoNo32024-07-10FalseFalsePro & Farm1,600,000$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------Lien
Patrick RussellCheckers (Flo)LW/RW321993-01-04DENNo203 Lbs6 ft2NoNoWaiverNoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Pavel DorofeyevCheckers (Flo)LW/RW242000-10-26RUSNo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Ryan JohnsonCheckers (Flo)D232001-07-24USAYes195 Lbs6 ft1NoNoProspectNoNo32024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Taylor LeierCheckers (Flo)LW/RW311994-02-15CANNo180 Lbs5 ft10NoNoFree AgentNoNo22024-07-26FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Tim ErixonCheckers (Flo)D341991-02-24USANo198 Lbs6 ft2NoNoFree AgentNoNo12024-07-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Viktor SvedbergCheckers (Flo)D331991-05-24SWENo231 Lbs6 ft9NoNoFree AgentNoNo12024-07-28FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Yegor ChinakhovCheckers (Flo)LW/RW242001-02-01RUSNo201 Lbs6 ft1NoNoTrade2024-11-08NoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Zachary FucaleCheckers (Flo)G291995-05-28CANNo187 Lbs6 ft2NoNoFree AgentNoNo32024-07-12FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3128.77198 Lbs6 ft22.001,285,484$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah CatesLucas WallmarkJoey Anderson35023
2Yegor ChinakhovGemel SmithPavel Dorofeyev35023
3Evgeny SvechnikovJack StudnickaHudson Fasching25023
4Oskar LindblomJoel KellmanMatt Luff5032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mason LohreiBenjamin Gleason35041
2John GilmourJacob Moverare35041
3Calle RosenRyan Johnson30041
4Mason LohreiBenjamin Gleason0041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah CatesLucas WallmarkJoey Anderson50005
2Yegor ChinakhovGemel SmithPavel Dorofeyev50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mason LohreiBenjamin Gleason50005
2John GilmourJacob Moverare50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joel KellmanMatt Luff50041
2Jack StudnickaOskar Lindblom50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mason LohreiBenjamin Gleason50041
2Ryan JohnsonJacob Moverare50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joel Kellman50050Mason LohreiBenjamin Gleason50050
2Jack Studnicka50050Ryan JohnsonJacob Moverare50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkNoah Cates50023
2Gemel SmithYegor Chinakhov50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mason LohreiBenjamin Gleason50032
2John GilmourJacob Moverare50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noah CatesLucas WallmarkJoey AndersonJacob MoverareBenjamin Gleason
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oskar LindblomJack StudnickaMatt LuffMason LohreiBenjamin Gleason
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evgeny Svechnikov, Hudson Fasching, Jack StudnickaEvgeny Svechnikov, Hudson FaschingYegor Chinakhov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Johnson, Calle Rosen, Mason LohreiRyan JohnsonJohn Gilmour, Calle Rosen
Tirs de pénalité
Noah Cates, Joey Anderson, Yegor Chinakhov, Evgeny Svechnikov, 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
1Wolf Pack624000001216-43120000046-231200000810-240.333122032011281011659398101816941299814214.29%12283.33%018034252.63%16933250.90%8415753.50%2471732287613266
2Wolves44000000193162200000091822000000102881.00019365502128101135939810188124275213323.08%100100.00%018034252.63%16933250.90%8415753.50%2471732287613266
Total1064000003119125320000013765320000018126120.6003156870312810130093981018250655615027518.52%22290.91%018034252.63%16933250.90%8415753.50%2471732287613266
_Since Last GM Reset1064000003119125320000013765320000018126120.6003156870312810130093981018250655615027518.52%22290.91%018034252.63%16933250.90%8415753.50%2471732287613266
_Vs Conference1064000003119125320000013765320000018126120.6003156870312810130093981018250655615027518.52%22290.91%018034252.63%16933250.90%8415753.50%2471732287613266

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1012L3315687300250655615003
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
106400003119
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5320000137
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200001812
Derniers 10 matchs
WLOTWOTL SOWSOL
541000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
27518.52%22290.91%0
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
93981018128101
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
18034252.63%16933250.90%8415753.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2471732287613266


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
1 - 2025-03-091Wolves0Checkers6WSommaire du match
2 - 2025-03-109Wolves1Checkers3WSommaire du match
3 - 2025-03-1117Checkers3Wolves0WSommaire du match
4 - 2025-03-1225Checkers7Wolves2WSommaire du match
8 - 2025-03-1657Wolf Pack2Checkers0LSommaire du match
9 - 2025-03-1761Wolf Pack0Checkers2WSommaire du match
10 - 2025-03-1865Checkers5Wolf Pack4WXSommaire du match
11 - 2025-03-1969Checkers2Wolf Pack3LSommaire du match
12 - 2025-03-2073Wolf Pack4Checkers2LSommaire du match
13 - 2025-03-2177Checkers1Wolf Pack3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3818
Assistance9,5044,627
Assistance PCT95.04%92.54%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2826 - 94.21% 127,410$637,052$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,985,000$ 3,985,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 0$ 0$




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
1Mason Appleton82334982112510215322114.93%9149718.271013234700026152.61%11.0918
2Joey Anderson823542771019377823315.02%9146417.86811195400006143.40%21.05110
3Gemel Smith8228366411531027123411.97%15140517.14413175000007144.94%00.9126
4Benjamin Gleason76173956633915412413.71%110165621.8011920611013310%00.6800
5Jack Studnicka821739562251171552108.10%11154918.90215172800023050.84%00.7200

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 Woll48261040.9022.7624172011111270200.63611
2Luka Gracnar50201660.8893.2025492213612230520.36422
3Scott 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
Total Saison régulière82432601228305257484122130011416113526412113011141441222210230554284722128829210269186288492257235269951512802596123.55%1973880.71%11503290951.67%1432273552.36%739140852.49%2010138918746141092553
Séries éliminatoires
15115600000433946330000023203523000002019110437611910141711133610513010013421116616819736.84%27388.89%017735350.14%18137548.27%11320654.85%2471692677914771
161064000003119125320000013765320000018126123156870312810130093981018250655615027518.52%22290.91%018034252.63%16933250.90%8415753.50%2471732287613266
Total Séries éliminatoires21111000000745816116500000362791055000003831722741322061326252126361982282019592176122318461226.09%49589.80%035769551.37%35070749.50%19736354.27%495342495156279138

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
1Joey Anderson2112719207236618.18%137317.784261300001040.74%11.0200
2Hudson Fasching21871562428154816.67%035416.90134400003158.06%00.8500
3Benjamin Gleason1631114861282711.11%2133821.15022110000200%00.8300
4John Gilmour2149132016192317.39%2045321.6201140000000%00.5700
5Carl Dahlstrom15210125618101612.50%1030220.2013460000000%00.7900

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
1Joseph Woll167600.9102.42743233033301100
2Luka Gracnar124310.8953.09525002725800000