Connexion

Marlies
GP: 49 | W: 28 | L: 19 | OTL: 2 | P: 58
GF: 176 | GA: 156 | PP%: 29.66% | PK%: 78.95%
DG: Alain Ricard | Morale : 57 | Moyenne d’équipe : 63
Prochains matchs #794 vs PenguinsF
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Wolves
20-25-5, 45pts
4
FINAL
3 Marlies
28-19-2, 58pts
Team Stats
L1SéquenceL1
11-13-1Fiche domicile14-9-2
9-12-4Fiche domicile14-10-0
4-4-2Derniers 10 matchs5-4-1
2.46Buts par match 3.59
3.10Buts contre par match 3.18
20.81%Pourcentage en avantage numérique29.66%
80.61%Pourcentage en désavantage numérique78.95%
Marlies
28-19-2, 58pts
1
FINAL
4 Iowa Wild
24-21-4, 52pts
Team Stats
L1SéquenceW2
14-9-2Fiche domicile13-10-2
14-10-0Fiche domicile11-11-2
5-4-1Derniers 10 matchs6-3-1
3.59Buts par match 3.20
3.18Buts contre par match 3.20
29.66%Pourcentage en avantage numérique20.25%
78.95%Pourcentage en désavantage numérique82.98%
Marlies
28-19-2, 58pts
2023-12-10
PenguinsF
28-18-3, 59pts
Statistiques d’équipe
L1SéquenceL1
14-9-2Fiche domicile14-7-3
14-10-0Fiche visiteur14-11-0
5-4-110 derniers matchs4-5-1
3.59Buts par match 3.67
3.18Buts contre par match 3.67
29.66%Pourcentage en avantage numérique29.25%
78.95%Pourcentage en désavantage numérique75.17%
Bears
31-18-0, 62pts
2023-12-12
Marlies
28-19-2, 58pts
Statistiques d’équipe
W1SéquenceL1
17-7-0Fiche domicile14-9-2
14-11-0Fiche visiteur14-10-0
6-4-010 derniers matchs5-4-1
2.80Buts par match 3.59
2.71Buts contre par match 3.59
15.54%Pourcentage en avantage numérique29.66%
83.01%Pourcentage en désavantage numérique78.95%
Marlies
28-19-2, 58pts
2023-12-14
Rocket
22-26-2, 46pts
Statistiques d’équipe
L1SéquenceL1
14-9-2Fiche domicile11-12-1
14-10-0Fiche visiteur11-14-1
5-4-110 derniers matchs5-5-0
3.59Buts par match 3.00
3.18Buts contre par match 3.00
29.66%Pourcentage en avantage numérique19.05%
78.95%Pourcentage en désavantage numérique76.25%
Meneurs d'équipe
Buts
Joseph Cramarossa
21
Passes
Karson Kuhlman
30
Points
Joseph Cramarossa
50
Plus/Moins
Marc McNulty
16
Victoires
Sami Aittokallio
13
Pourcentage d’arrêts
Michael Houser
0.909

Statistiques d’équipe
Buts pour
176
3.59 GFG
Tirs pour
1466
29.92 Avg
Pourcentage en avantage numérique
29.7%
43 GF
Début de zone offensive
39.5%
Buts contre
156
3.18 GAA
Tirs contre
1398
28.53 Avg
Pourcentage en désavantage numérique
78.9%%
32 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralAlain Ricard
EntraîneurBob Gainey
DivisionDivision Nord-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,905
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 55
Espoirs34


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
1Karson KuhlmanX100.0071508572677785717173707267655459686602811,700,000$
2Sebastian WannstromX100.0061458972696972716371726769615947706503211,300,000$
3Givani SmithX99.007553657674717874667567726251476865650251900,000$
4Alexander RuuttuX100.0060398776696478717365667462766749656503011,500,000$
5Joseph CramarossaX100.0073697570717078716966757073524653686403121,400,000$
6Tanner RichardX100.006958756971636465676862736069604666630302900,000$
7Jackson CatesX98.0062459973716970707864697066514566686302631,000,000$
8Jordan WealX99.005842887066677969736868696966574736630311900,000$
9Joonas NattinenX100.0060429070726774717066657064615650626303211,100,000$
10Adam HelewkaX99.007045757271657368606669736055495970620282800,000$
11T.J. TynanX100.006945857466658066637559636055464557620311900,000$
12Kevin HancockX100.006345907268687265676465686248466070610252750,000$
13Nikita CherepanovX100.0064458472737272694564677260564857546402831,200,000$
14Dmitri YudinX100.0065458472697268714568617454544957546402831,200,000$
15Thomas LarkinX100.0070638469766870704567677165454546566303231,250,000$
16Kristians RubinsX100.007244897275696965456365715447456050630262750,000$
17Alex TheriauX100.005744847070675965456066726063555250620311900,000$
18Will WeberX100.006144857175666568456361685945453820610353950,000$
Rayé
1Sondre OldenX100.0071448575697383686970666765665249286503121,200,000$
2Freddie HamiltonX100.005740886968676962676262696267614619610311800,000$
3Philippe CornetX100.0061459670717067686264656763454542266103331,000,000$
4Maxime FortierX100.005960847466676766666362686248476619600251750,000$
5Alan LyszczarczykX100.006849877269686863676061616245456019590252750,000$
6William LagessonX100.0064488368717369734571727260564957586502721,300,000$
7Zakhar ArzamastsevX100.005743946975656268456261695945455319610312850,000$
8Marc McNultyX100.0066458870756760664562576557454559266002821,000,000$
MOYENNE D’ÉQUIPE99.81654885727168716860666570625550544963
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
1Sami Aittokallio100.007776757777768281807976455053226303121,400,000$
2Maksim Zhukov100.00768170807674747676757746466827610242750,000$
Rayé
1Michael Houser100.007773737676808383848375465253316403131,950,000$
MOYENNE D’ÉQUIPE100.0077777378767780808079764649582763
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Gainey72739079999918CAN695100,000$


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
1Joseph CramarossaMarlies (Tor)LW4921295012381094421263111816.67%1189718.3161117181100112744156.94%7200001.1112011362
2Karson KuhlmanMarlies (Tor)RW48193049535549461484111412.84%1085217.76891734114000123156.10%8200001.1503000331
3Jackson CatesMarlies (Tor)C4820284813601486129418015.50%789718.695712221080001854153.82%115200001.0700000421
4William LagessonMarlies (Tor)D4562834-1016049476322469.52%7297521.6751217301010001103200%000000.7000000133
5Sebastian WannstromMarlies (Tor)RW49201232-51201950132368615.15%375915.502351450000021050.00%4000000.8401000214
6Alexander RuuttuMarlies (Tor)RW45111930540125687237012.64%462413.8717814991013622149.91%53300000.9600000001
7Thomas LarkinMarlies (Tor)D485232815020603346144210.87%5898220.483710171020110109010%000000.5700202012
8Givani SmithMarlies (Tor)RW4314122622208043110419312.73%564915.1013415590000531151.43%3500000.8000000422
9Joonas NattinenMarlies (Tor)C46131326-78096788227414.77%769815.18325761000002050.98%82000000.7400000111
10Dmitri YudinMarlies (Tor)D46520252435643344123011.36%7191919.993581243000198000%000000.5400000111
11Adam HelewkaMarlies (Tor)LW49618244320585711035925.45%683517.061236600112671050.70%7100000.5702000110
12Kristians RubinsMarlies (Tor)D48814221240592940252220.00%5596920.192681280000089110%000000.4500000012
13Tanner RichardMarlies (Tor)LW4521921-420077378728682.30%973616.3703313540006591055.17%5800000.5700000011
14Nikita CherepanovMarlies (Tor)D4041216-4160342332103412.50%3475218.821011040000045000%000000.4300000200
15T.J. TynanMarlies (Tor)C472131534026363416275.88%43888.261234120111410046.83%45700000.7701000100
16Kevin HancockMarlies (Tor)LW4941014-6607245416387.41%33958.0700000000013050.00%2600000.7101000111
17Alex TheriauMarlies (Tor)D3639121060251723122213.04%3865218.1200002101131010%000000.3700000100
18Jordan WealMarlies (Tor)C3554922044645203411.11%752114.90000190000500052.39%58600100.3500000001
19Sondre OldenMarlies (Tor)RW24347-30015283716258.11%030212.6200006000000160.00%3500000.4611000020
20Marc McNultyMarlies (Tor)D15033162001097240%1126617.740000500009000%000000.2300000000
21Will WeberMarlies (Tor)D81233408631133.33%215018.7910125000014100%000000.4000000000
22Zakhar ArzamastsevMarlies (Tor)D8202-12048110218.18%514317.8900020000010000%000000.2800000001
23Freddie HamiltonMarlies (Tor)C6000-100035230%08414.07000000001140046.07%890000000000000
24Alan LyszczarczykMarlies (Tor)LW4000040015030%2287.120000000000000%20000000000000
Statistiques d’équipe totales ou en moyenne88117432249638374407778271466466112811.87%4241448316.444379122233113224620102826951.58%405800100.68211213252624
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
1Sami AittokallioMarlies (Tor)3013900.8723.5013040276596010002227021
2Michael HouserMarlies (Tor)2713610.9092.75132921616690220.909112215311
3Maksim ZhukovMarlies (Tor)72410.8783.0131900161310000057010
Statistiques d’équipe totales ou en moyenne64281920.8903.112952231531396032114949342


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
Adam HelewkaMarlies (Tor)LW281995-07-21No205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Alan LyszczarczykMarlies (Tor)LW251998-02-17No204 Lbs5 ft10NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Alex TheriauMarlies (Tor)D311992-02-14No190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Alexander RuuttuMarlies (Tor)RW301992-12-09No171 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Dmitri YudinMarlies (Tor)D281995-07-31No198 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Freddie HamiltonMarlies (Tor)C311992-01-01No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Givani SmithMarlies (Tor)RW251998-02-28No210 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Jackson CatesMarlies (Tor)C261997-09-28No190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Joonas NattinenMarlies (Tor)C321991-01-03No191 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,100,000$0$0$No------------------Lien
Jordan WealMarlies (Tor)C311992-04-15No179 Lbs5 ft10NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Joseph CramarossaMarlies (Tor)LW311992-10-26No190 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,400,000$0$0$No1,400,000$--------No--------Lien
Karson KuhlmanMarlies (Tor)RW281995-09-26No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Kevin HancockMarlies (Tor)LW251998-03-02No181 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Kristians RubinsMarlies (Tor)D261997-01-11No227 Lbs6 ft5NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Maksim ZhukovMarlies (Tor)G241999-07-22No190 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Marc McNultyMarlies (Tor)D281995-04-05No210 Lbs6 ft6NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Maxime FortierMarlies (Tor)RW251997-12-15No183 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Michael HouserMarlies (Tor)G311992-09-13No185 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,950,000$0$0$No1,950,000$1,950,000$-------NoNo-------Lien
Nikita CherepanovMarlies (Tor)D281995-11-19No220 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Philippe CornetMarlies (Tor)C331990-03-28No198 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Sami AittokallioMarlies (Tor)G311992-08-06No189 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,400,000$0$0$No1,400,000$--------No--------Lien
Sebastian WannstromMarlies (Tor)RW321991-03-03No182 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Sondre OldenMarlies (Tor)RW311992-08-29No172 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
T.J. TynanMarlies (Tor)C311992-02-25No165 Lbs5 ft10NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Tanner RichardMarlies (Tor)LW301993-04-06No192 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Thomas LarkinMarlies (Tor)D321990-12-31No227 Lbs6 ft5NoNoN/ANoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------NoNo-------Lien
Will WeberMarlies (Tor)D351988-10-28No227 Lbs6 ft3NoNoN/ANoNo3Pro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------Lien
William LagessonMarlies (Tor)D271996-02-22No207 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Zakhar ArzamastsevMarlies (Tor)D311992-11-06No220 Lbs6 ft2NoNoN/ANoNo2Pro & Farm850,000$0$0$No850,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2929.17196 Lbs6 ft11.901,074,138$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph CramarossaJackson CatesKarson Kuhlman30032
2Adam HelewkaJordan WealGivani Smith30023
3Tanner RichardJoonas NattinenSebastian Wannstrom29032
4Kevin HancockT.J. TynanAlexander Ruuttu11041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will WeberKristians Rubins34050
2Dmitri YudinAlex Theriau33041
3Nikita CherepanovThomas Larkin33041
4Dmitri YudinAlex Theriau0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph CramarossaJackson CatesKarson Kuhlman50014
2Adam HelewkaJoonas NattinenAlexander Ruuttu50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan WealKristians Rubins50023
2Givani SmithThomas Larkin50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jordan WealGivani Smith50041
2Jackson CatesAdam Helewka50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will WeberKristians Rubins50122
2Dmitri YudinThomas Larkin50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jordan Weal50122Will WeberKristians Rubins50122
2Jackson Cates50122Dmitri YudinThomas Larkin50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jackson CatesGivani Smith50122
2T.J. TynanJoseph Cramarossa50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will WeberKristians Rubins50122
2Nikita CherepanovThomas Larkin50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph CramarossaJackson CatesKarson KuhlmanDmitri YudinKristians Rubins
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph CramarossaJordan WealKarson KuhlmanDmitri YudinThomas Larkin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Karson Kuhlman, Joseph Cramarossa, Jackson CatesKarson Kuhlman, Joseph CramarossaJoseph Cramarossa
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Thomas Larkin, Kristians Rubins, Dmitri YudinNikita CherepanovAlex Theriau, Kristians Rubins
Tirs de pénalité
Jordan Weal, Joseph Cramarossa, Sebastian Wannstrom, Karson Kuhlman, Jackson Cates
Gardien
#1 : Maksim Zhukov, #2 : Sami Aittokallio


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
1Americans22000000734000000000002200000073441.000713200068565024947750148415611416236233.33%8187.50%1868160154.22%811161250.31%41484548.99%11718041139361646323
2BruinsF2110000045-1110000002111010000024-220.5004812106856502674775014841551108395240.00%3166.67%0868160154.22%811161250.31%41484548.99%11718041139361646323
3Canucks1010000035-2000000000001010000035-200.00034700685650232477501484152911616300.00%30100.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
4Checkers312000001017-72110000089-11010000028-620.3331020300068565028847750148415102262738800.00%11645.45%0868160154.22%811161250.31%41484548.99%11718041139361646323
5Comets4310000017710211000009452200000083560.7501730470168565021264775014841510025246915746.67%12375.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
6Condors21100000431000000000002110000043120.5004812116856502564775014841550222022700.00%90100.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
7Crunch422000001216-4211000007702110000059-440.5001221330068565021094775014841512241336012216.67%13376.92%0868160154.22%811161250.31%41484548.99%11718041139361646323
8Firebirds32100000141132200000011561010000036-340.66714274100685650289477501484158623273614642.86%10280.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
9Griffins1000000134-11000000134-10000000000010.500369006856502384775014841537104162150.00%2150.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
10Gulls1010000037-41010000037-40000000000000.00035800685650241477501484152778156233.33%4325.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
11Iowa Wild1010000014-3000000000001010000014-300.00012300685650226477501484152771211100.00%5180.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
12Islanders211000009721010000034-11100000063320.50091726006856502654775014841547228363266.67%4175.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
13Monsters1010000025-31010000025-30000000000000.00024600685650223477501484153010616400.00%30100.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
14Moose31100010151141010000057-221000010104640.66715274200685650294477501484151132342528225.00%12283.33%1868160154.22%811161250.31%41484548.99%11718041139361646323
15PenguinsF11000000211110000002110000000000021.0002460068565022147750148415347621100.00%30100.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
16Phantoms2200000012210110000006151100000061541.0001222340068565026247750148415571910303133.33%30100.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
17Reign1010000045-1000000000001010000045-100.00048120068565023047750148415285614300.00%3166.67%0868160154.22%811161250.31%41484548.99%11718041139361646323
18Roadrunners11000000431110000004310000000000021.000471100685650237477501484153166183133.33%3166.67%0868160154.22%811161250.31%41484548.99%11718041139361646323
19Rocket21100000101001010000056-11100000054120.5001019290068565025947750148415541427363133.33%8362.50%0868160154.22%811161250.31%41484548.99%11718041139361646323
20SenatorsF1010000013-2000000000001010000013-200.00012300685650230477501484152215417200.00%2150.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
21Silver Knights1010000036-3000000000001010000036-300.000369006856502374775014841524152274375.00%000%0868160154.22%811161250.31%41484548.99%11718041139361646323
22StarsF1010000034-11010000034-10000000000000.0003580068565023347750148415388010300.00%000%0868160154.22%811161250.31%41484548.99%11718041139361646323
23Wolf Pack330000001055220000007341100000032161.0001017270068565029547750148415833920589555.56%100100.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
24Wolves530001101899310001109632200000093690.9001831490168565021444775014841511134487917423.53%18288.89%0868160154.22%811161250.31%41484548.99%11718041139361646323
25Wranglers11000000532110000005320000000000021.0005914006856502154775014841534116183266.67%30100.00%0868160154.22%811161250.31%41484548.99%11718041139361646323
Total492619001211761562025139001119480142413100001082766580.59217632249823685650214664775014841513984243767771454329.66%1523278.95%2868160154.22%811161250.31%41484548.99%11718041139361646323
_Since Last GM Reset492619001211761562025139001119480142413100001082766580.59217632249823685650214664775014841513984243767771454329.66%1523278.95%2868160154.22%811161250.31%41484548.99%11718041139361646323
_Vs Conference372311001201411073419116001107454201812500010675314510.68914125839912685650210984775014841510433123005941063432.08%1172578.63%2868160154.22%811161250.31%41484548.99%11718041139361646323
_Vs Division1843000007036341111000003824147320000032122080.2227012519502685650253647750148415462156122309521936.54%53688.68%0868160154.22%811161250.31%41484548.99%11718041139361646323

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4958L11763224981466139842437677723
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4926190121176156
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2513901119480
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
24131000108276
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1454329.66%1523278.95%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
477501484156856502
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
868160154.22%811161250.31%41484548.99%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11718041139361646323


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 - 2023-08-256Wolves2Marlies3BWXXSommaire du match
5 - 2023-08-2935Firebirds3Marlies6BWSommaire du match
7 - 2023-08-3150Marlies3Wolf Pack2AWSommaire du match
8 - 2023-09-0160Marlies2BruinsF4ALSommaire du match
10 - 2023-09-0379Checkers7Marlies4BLSommaire du match
13 - 2023-09-0698Crunch5Marlies4BLSommaire du match
15 - 2023-09-08110Marlies3Condors0AWSommaire du match
16 - 2023-09-09124Marlies5Rocket4AWSommaire du match
19 - 2023-09-12142Rocket6Marlies5BLSommaire du match
21 - 2023-09-14156Marlies5Wolves1AWSommaire du match
23 - 2023-09-16172Moose7Marlies5BLSommaire du match
24 - 2023-09-17185Marlies3Canucks5ALSommaire du match
27 - 2023-09-20204Wolf Pack2Marlies5BWSommaire du match
29 - 2023-09-22215Marlies5Americans2AWSommaire du match
31 - 2023-09-24230Marlies6Moose1AWSommaire du match
33 - 2023-09-26244Wolves0Marlies3BWSommaire du match
35 - 2023-09-28261Marlies2Checkers8ALSommaire du match
38 - 2023-10-01275Firebirds2Marlies5BWSommaire du match
41 - 2023-10-04301Roadrunners3Marlies4BWSommaire du match
44 - 2023-10-07326Marlies3Silver Knights6ALSommaire du match
46 - 2023-10-09337Comets0Marlies6BWSommaire du match
48 - 2023-10-11354Marlies2Americans1AWSommaire du match
49 - 2023-10-12367Monsters5Marlies2BLSommaire du match
53 - 2023-10-16388Griffins4Marlies3BLXXSommaire du match
55 - 2023-10-18410Marlies3Firebirds6ALSommaire du match
57 - 2023-10-20424Crunch2Marlies3BWSommaire du match
59 - 2023-10-22438Marlies4Moose3AWXXSommaire du match
61 - 2023-10-24454Islanders4Marlies3BLSommaire du match
63 - 2023-10-26466Marlies2Crunch7ALSommaire du match
66 - 2023-10-29485Marlies1Condors3ALSommaire du match
68 - 2023-10-31496Gulls7Marlies3BLSommaire du match
72 - 2023-11-04521Wranglers3Marlies5BWSommaire du match
74 - 2023-11-06539Marlies6Islanders3AWSommaire du match
76 - 2023-11-08549Marlies3Comets1AWSommaire du match
77 - 2023-11-09561Phantoms1Marlies6BWSommaire du match
80 - 2023-11-12583Marlies5Comets2AWSommaire du match
81 - 2023-11-13590PenguinsF1Marlies2BWSommaire du match
84 - 2023-11-16614Comets4Marlies3BLSommaire du match
86 - 2023-11-18626Marlies3Crunch2AWSommaire du match
88 - 2023-11-20646Checkers2Marlies4BWSommaire du match
90 - 2023-11-22658Marlies6Phantoms1AWSommaire du match
92 - 2023-11-24674Marlies4Reign5ALSommaire du match
93 - 2023-11-25684Wolf Pack1Marlies2BWSommaire du match
96 - 2023-11-28709StarsF4Marlies3BLSommaire du match
97 - 2023-11-29716Marlies1SenatorsF3ALSommaire du match
100 - 2023-12-02731Marlies4Wolves2AWSommaire du match
102 - 2023-12-04748BruinsF1Marlies2BWSommaire du match
104 - 2023-12-06770Wolves4Marlies3BLXSommaire du match
106 - 2023-12-08779Marlies1Iowa Wild4ALSommaire du match
108 - 2023-12-10794Marlies-PenguinsF-
110 - 2023-12-12813Bears-Marlies-
112 - 2023-12-14824Marlies-Rocket-
114 - 2023-12-16841Marlies-Phantoms-
115 - 2023-12-17849Admirals-Marlies-
119 - 2023-12-21873BruinsF-Marlies-
122 - 2023-12-24902Bears-Marlies-
124 - 2023-12-26912Marlies-Checkers-
126 - 2023-12-28925Marlies-Wolf Pack-
128 - 2023-12-30940Rocket-Marlies-
131 - 2024-01-02965Marlies-SenatorsF-
132 - 2024-01-03971PenguinsF-Marlies-
134 - 2024-01-05987Marlies-BruinsF-
137 - 2024-01-081004Marlies-Firebirds-
138 - 2024-01-091013Islanders-Marlies-
141 - 2024-01-121034Moose-Marlies-
143 - 2024-01-141050Marlies-BruinsF-
145 - 2024-01-161070Eagles-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2024-01-181078Marlies-Canucks-
150 - 2024-01-211098Americans-Marlies-
152 - 2024-01-231111Marlies-PenguinsF-
155 - 2024-01-261131Marlies-Bears-
156 - 2024-01-271142Icehogs-Marlies-
159 - 2024-01-301161Marlies-Bears-
160 - 2024-01-311172Thunderbirds-Marlies-
163 - 2024-02-031196Americans-Marlies-
166 - 2024-02-061216Marlies-Islanders-
168 - 2024-02-081229Phantoms-Marlies-
170 - 2024-02-101237Marlies-Barracuda-
174 - 2024-02-141262SenatorsF-Marlies-
176 - 2024-02-161276Marlies-Eagles-
179 - 2024-02-191296SenatorsF-Marlies-
181 - 2024-02-211304Marlies-Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance48,32124,307
Assistance PCT96.64%97.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 2905 - 96.84% 105,226$2,630,640$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,799,557$ 3,115,000$ 3,115,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,741,305$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,683,610$ 76 17,665$ 1,342,540$




Marlies 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

Marlies 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

Marlies 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

Marlies 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

Marlies 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