Connexion

Marlies
GP: 82 | W: 50 | L: 24 | OTL: 8 | P: 108
GF: 197 | GA: 158 | PP%: 12.55% | PK%: 84.58%
DG: Patrick Pellegrino | Morale : 50 | Moyenne d’équipe : 61
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Marlies
50-24-8, 108pts
3
FINAL
0 Cabaret Lady Mary Ann
30-39-13, 73pts
Team Stats
W2SéquenceL6
28-9-4Fiche domicile14-20-7
22-15-4Fiche domicile16-19-6
8-2-0Derniers 10 matchs2-8-0
2.40Buts par match 1.98
1.93Buts contre par match 2.41
12.55%Pourcentage en avantage numérique13.08%
84.58%Pourcentage en désavantage numérique81.72%
Marlies
50-24-8, 108pts
7
FINAL
4 Thunder
9-66-7, 25pts
Team Stats
W2SéquenceL3
28-9-4Fiche domicile6-31-4
22-15-4Fiche domicile3-35-3
8-2-0Derniers 10 matchs0-9-1
2.40Buts par match 2.04
1.93Buts contre par match 4.34
12.55%Pourcentage en avantage numérique9.41%
84.58%Pourcentage en désavantage numérique75.84%
Meneurs d'équipe
Buts
Dylan Guenther
37
Passes
David Gustafsson
39
Points
Dylan Guenther
66
Plus/Moins
Dylan Guenther
30
Victoires
Daniil Tarasov
50
Pourcentage d’arrêts
Olle Eriksson Ek
0.929

Statistiques d’équipe
Buts pour
197
2.40 GFG
Tirs pour
1803
21.99 Avg
Pourcentage en avantage numérique
12.6%
31 GF
Début de zone offensive
40.9%
Buts contre
158
1.93 GAA
Tirs contre
1458
17.78 Avg
Pourcentage en désavantage numérique
84.6%%
33 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralPatrick Pellegrino
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité6,000
Assistance3,828
Billets de saison600


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 50
Espoirs13


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 moyen
1Arthur KaliyevXX100.00704784758782788140747367765952050720211925,000$
2Jakub VranaX100.006143787577847774406572637377670506902623,700,000$
3David GustafssonXX100.00684582728176736769645968676154050660222885,000$
4Brett LeasonX100.00664784709080717040636563695650050660232775,000$
5Dylan Guenther (R)X100.00604075717378646940676562695150050650193894,167$
6Will Cuylle (R)X100.00675662676860616542626264655050050620203828,333$
7Cole Schwindt (R)XX100.00644971716464646354615862645050050610212870,000$
8Tyler Madden (R)X100.00534372725364646353596053655150050600222925,000$
9Jan Jenik (R)X100.00565460705761596247615556625050050590222795,000$
10Riley Damiani (R)X100.00534468695763636358625751635150050590222803,333$
11Fabian Lysell (R)X100.00564063675957576242625854625050050590193894,167$
12Albin Eriksson (R)X100.00475096597746643252272943345050050450222825,000$
13Jalen ChatfieldX100.00715570777279767340656577715852050700261750,000$
14Dylan SambergX100.00735772728377716840635978665650050690231925,000$
15Kevin Bahl (R)X100.00715864688978716740646072655752050680222795,000$
16Lucas JohansenX100.00594571696263625940555463615350050600241775,000$
17Xavier Bernard (R)X100.00624068626860595740545460585150050590222650,000$
18Austin StrandX100.00575262586966656040525255575450050580251750,000$
Rayé
1Ryan Suzuki (R)X100.00574568686261606157595654615050050590212894,167$
2Karl Henriksson (R)X100.00594070675962636041575557615050050580213870,000$
3Ozzy Wiesblatt (R)X100.00614066686260605941565560615050050580203835,833$
4Samuel Helenius (R)X100.00686460607056545754555159565050050570193828,333$
5Kody Clark (R)X100.00535253585557535340525152535050050530222808,333$
MOYENNE D’ÉQUIPE100.0061487068696765634659586163545105061
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 moyen
1Daniil Tarasov (R)100.0076696680727170697271695651050660231825,000$
2Olle Eriksson Ek (R)100.0066605966646263606363555250050580231900,000$
Rayé
1Zachary Emond (R)100.0041394873404049484243284440050440221600,000$
MOYENNE D’ÉQUIPE100.006156587359586159595951514705056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Dylan GuentherMarlies (Tor)RW82372966303201071322155416017.21%6162619.8429114320300058511347.06%18700000.8147000958
2David GustafssonMarlies (Tor)C/LW82243963192201082052135316411.27%17180622.0357123420701171827262.58%163800100.702100001024
3Brett LeasonMarlies (Tor)RW8232316319180951262407915013.33%18188723.024593721820251866146.00%53700110.67310000855
4Kevin BahlMarlies (Tor)D821634501952018794113326814.16%73181222.118614612230000144030%000000.5500000287
5Cole SchwindtMarlies (Tor)C/RW82162541233401281971375010911.68%11150718.38415231940000304154.40%134000000.5400000248
6Will CuylleMarlies (Tor)LW821323361860014398144351059.03%16158619.35268131930002873151.02%9800000.4502000044
7Riley DamianiMarlies (Tor)C8210182821260478011427768.77%8151018.4221312179000083154.66%23600000.3700000042
8Jalen ChatfieldMarlies (Tor)D628192702801167944163218.18%51120019.361121026000213241100.00%100000.4500000513
9Tyler MaddenMarlies (Tor)C82914234604014812843957.03%6139417.010224510001232152.91%115300010.3300000114
10Fabian LysellMarlies (Tor)RW82120211730087514220332.38%28146717.8903323177000000060.00%500000.2900000102
11Jan JenikMarlies (Tor)C8271320-32609810510833696.48%4132016.100004250000291046.90%14500000.3000000310
12Ozzy WiesblattMarlies (Tor)RW637916-420073768421538.33%10106216.870111120001532051.43%7000000.3000000180
13Xavier BernardMarlies (Tor)D82213152522083353413325.88%55174721.3102292000000140100%000000.1700000100
14Ryan SuzukiMarlies (Tor)C753111417320101315416255.56%41137118.291342918100000100%000000.2000000101
15Jakub VranaMarlies (Tor)LW72911760911194910.53%112618.011344100000120060.00%500001.7511000010
16Karl HenrikssonMarlies (Tor)C75110114180833016576.25%37119215.900000000000000%000000.1800000001
17Arthur KaliyevMarlies (Tor)LW/RW19358-46035337514374.00%136519.230337140001321038.89%1800000.4411000011
18Dylan SambergMarlies (Tor)D62134-3180211443725.00%92393.86112110000127100%000000.3300000000
19Lucas JohansenMarlies (Tor)D621232201012841212.50%193736.0201124800011450040.00%500000.1600000000
20Austin StrandMarlies (Tor)D621127408683212.50%41973.1800004000035000%000000.2000000000
21Albin ErikssonMarlies (Tor)LW7011000110010%0639.0000000000000075.00%400000.3200000000
Statistiques d’équipe totales ou en moyenne13961943295232184620158015641800525124610.78%4152385817.093155863172184213261357471455.15%544200220.441131000444550
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
1Daniil TarasovMarlies (Tor)82502380.8971.80487941514614150210.51631820562
2Olle Eriksson EkMarlies (Tor)40100.9291.86970034201000082000
Statistiques d’équipe totales ou en moyenne86502480.8981.8049774151491457031318282562


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 Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial 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 10Lien
Albin ErikssonMarlies (Tor)LW222000-07-20Yes205 Lbs6 ft4NoNoNoNo2Pro & Farm825,000$0$0$No825,000$Lien
Arthur KaliyevMarlies (Tor)LW/RW212001-06-26No210 Lbs6 ft2NoNoNoNo1Pro & Farm925,000$0$0$NoLien
Austin StrandMarlies (Tor)D251997-02-17No216 Lbs6 ft3NoNoYesYes1Pro & Farm750,000$0$0$NoLien
Brett LeasonMarlies (Tor)RW231999-04-30No218 Lbs6 ft5NoNoNoNo2Pro & Farm775,000$0$0$No775,000$Lien
Cole SchwindtMarlies (Tor)C/RW212001-04-25Yes183 Lbs6 ft2NoNoNoNo2Pro & Farm870,000$0$0$No870,000$Lien
Daniil TarasovMarlies (Tor)G231999-03-27Yes196 Lbs6 ft5NoNoNoNo1Pro & Farm825,000$0$0$NoLien
David GustafssonMarlies (Tor)C/LW222000-04-11No212 Lbs6 ft2NoNoNoNo2Pro & Farm885,000$0$0$No885,000$Lien
Dylan GuentherMarlies (Tor)RW192003-04-10Yes175 Lbs6 ft2NoNoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$
Dylan SambergMarlies (Tor)D231999-01-24No219 Lbs6 ft4NoNoNoNo1Pro & Farm925,000$0$0$NoLien
Fabian LysellMarlies (Tor)RW192003-01-19Yes172 Lbs5 ft10NoNoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$
Jakub VranaMarlies (Tor)LW261996-02-28No190 Lbs6 ft0NoNoYesYes2Pro & Farm3,700,000$0$0$No3,700,000$Lien
Jalen ChatfieldMarlies (Tor)D261996-05-15No188 Lbs6 ft1NoNoYesYes1Pro & Farm750,000$0$0$NoLien
Jan JenikMarlies (Tor)C222000-09-15Yes161 Lbs6 ft1NoNoNoNo2Pro & Farm795,000$0$0$No795,000$Lien
Karl HenrikssonMarlies (Tor)C212001-02-05Yes176 Lbs5 ft9NoNoNoNo3Pro & Farm870,000$0$0$No870,000$870,000$Lien
Kevin BahlMarlies (Tor)D222000-06-27Yes230 Lbs6 ft6NoNoNoNo2Pro & Farm795,000$0$0$No795,000$Lien
Kody ClarkMarlies (Tor)RW221999-10-13Yes188 Lbs6 ft3NoNoNoNo2Pro & Farm808,333$0$0$No808,333$Lien
Lucas JohansenMarlies (Tor)D241997-11-16No181 Lbs6 ft2NoNoYesYes1Pro & Farm775,000$0$0$NoLien
Olle Eriksson EkMarlies (Tor)G231999-06-22Yes190 Lbs6 ft3NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Ozzy WiesblattMarlies (Tor)RW202002-03-09Yes183 Lbs5 ft10NoNoNoNo3Pro & Farm835,833$0$0$No835,833$835,833$
Riley DamianiMarlies (Tor)C222000-03-20Yes170 Lbs5 ft10NoNoNoNo2Pro & Farm803,333$0$0$No803,333$Lien
Ryan SuzukiMarlies (Tor)C212001-05-28Yes176 Lbs6 ft0NoNoNoNo2Pro & Farm894,167$0$0$No894,167$Lien
Samuel HeleniusMarlies (Tor)C192002-11-26Yes201 Lbs6 ft6NoNoNoNo3Pro & Farm828,333$0$0$No828,333$828,333$Lien
Tyler MaddenMarlies (Tor)C221999-11-09Yes152 Lbs5 ft11NoNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Will CuylleMarlies (Tor)LW202002-02-05Yes212 Lbs6 ft3NoNoNoNo3Pro & Farm828,333$0$0$No828,333$828,333$
Xavier BernardMarlies (Tor)D222000-01-06Yes205 Lbs6 ft5NoNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Zachary EmondMarlies (Tor)G222000-06-20Yes181 Lbs6 ft3NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2622.00192 Lbs6 ft21.92935,641$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Arthur KaliyevDavid GustafssonBrett Leason40122
2Jakub VranaTyler MaddenDylan Guenther30122
3Will CuylleJan JenikCole Schwindt20122
4Albin ErikssonRiley DamianiFabian Lysell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldDylan Samberg40122
2Kevin BahlLucas Johansen30122
3Xavier BernardAustin Strand20122
4Jalen ChatfieldDylan Samberg10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Arthur KaliyevCole SchwindtBrett Leason60122
2Jakub VranaTyler MaddenDylan Guenther40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldDylan Samberg60122
2Kevin BahlLucas Johansen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole SchwindtArthur Kaliyev60122
2Tyler MaddenJakub Vrana40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldDylan Samberg60122
2Kevin BahlLucas Johansen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Schwindt60122Jalen ChatfieldDylan Samberg60122
2Tyler Madden40122Kevin BahlLucas Johansen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SchwindtArthur Kaliyev60122
2Tyler MaddenJakub Vrana40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldDylan Samberg60122
2Kevin BahlLucas Johansen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Arthur KaliyevCole SchwindtBrett LeasonJalen ChatfieldDylan Samberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Arthur KaliyevCole SchwindtBrett LeasonJalen ChatfieldDylan Samberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Guenther, Will Cuylle, Cole SchwindtDylan Guenther, Will CuylleDylan Guenther
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Johansen, Xavier Bernard, Austin StrandLucas JohansenLucas Johansen, Xavier Bernard
Tirs de pénalité
Arthur Kaliyev, Jakub Vrana, Brett Leason, David Gustafsson, Dylan Guenther
Gardien
#1 : Daniil Tarasov, #2 : Olle Eriksson Ek


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
1Admirals210000014401000000112-11100000032130.7504610007057641432573582622573261026600.00%50100.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
2Baby Hawks21000001743110000005141000000123-130.75071219007057641449573582622574072397228.57%10100.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
3Bears32000001844110000004222100000142250.833812200170576414635735826225738101446600.00%7185.71%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
4Bruins41200010770211000003302010001044040.50071017017057641475573582622576222227216212.50%11281.82%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
5Cabaret Lady Mary Ann421000101174211000006602100001051460.7501115260170576414111573582622576522328414321.43%15286.67%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
6Caroline3120000035-2211000002201010000013-220.33336901705764146357358262257361114401417.14%5180.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
7Chiefs2110000045-1110000004311010000002-220.5004812007057641430573582622572888346116.67%4175.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
8Chill210000013301000000123-11100000010130.750369017057641447573582622572810640600.00%30100.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
9Comets2110000045-1110000003211010000013-220.500471100705764144557358262257361710407114.29%5180.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
10Cougars312000001011-1211000008711010000024-220.33310172700705764146257358262257761818625120.00%9455.56%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
11Crunch4400000015411220000009182200000063381.00015233801705764149957358262257642020799111.11%9188.89%11233222855.34%1127207254.39%642114356.17%2153155118125621017528
12Heat22000000927110000006061100000032141.0009162501705764146157358262257449840400.00%4175.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
13Jayhawks21100000532110000005231010000001-120.50051015007057641465573582622574411845400.00%30100.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
14Las Vegas22000000615110000004131100000020241.0006814017057641453573582622571680359222.22%000%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
15Manchots3120000039-62110000026-41010000013-220.33335801705764144357358262257811336525120.00%17288.24%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
16Minnesota2010100048-4100010003211010000016-520.50047110070576414465735826225757132264200.00%10370.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
17Monarchs20101000440100010003211010000012-120.50047110070576414445735826225734111848400.00%8187.50%11233222855.34%1127207254.39%642114356.17%2153155118125621017528
18Monsters32000001541110000002112100000133050.833591401705764145657358262257451422631317.69%9188.89%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
19Monsters22000000404110000003031100000010141.0004711027057641435573582622573310631700.00%20100.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
20Oceanics2110000036-31010000015-41100000021120.50036900705764143157358262257371110346116.67%5180.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
21Oil Kings21001000532110000002111000100032141.00059140070576414405735826225733171238400.00%6183.33%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
22Phantoms3110000146-2110000002112010000125-330.50048120070576414535735826225751192072500.00%80100.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
23Rocket31100010770110000003212010001045-140.667710171070576414775735826225753101850900.00%9188.89%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
24Sags22000000413110000002021100000021141.00047110170576414395735826225729918474125.00%70100.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
25Seattle2020000017-61010000004-41010000013-200.00012300705764144057358262257281016399111.11%7271.43%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
26Senators430000011394210000017522200000064270.87513223500705764148257358262257782220752229.09%9188.89%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
27Sound Tigers3030000025-31010000012-12020000013-200.000246007057641451573582622574914185010220.00%90100.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
28Spiders33000000835220000006241100000021161.00081624017057641464573582622575015186110330.00%7271.43%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
29Stars2010000125-31000000112-11010000013-210.2502460070576414345735826225739914388112.50%7185.71%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
30Thunder44000000251015220000001331022000000127581.000254570007057641414857358262257963316989444.44%8187.50%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
31Wolf Pack321000007612110000056-11100000020240.66778150170576414655735826225756181052700.00%5260.00%01233222855.34%1127207254.39%642114356.17%2153155118125621017528
Total82442403038197158394126902004118793941181501034797901080.65919733252911570576414180357358262257145842746615942473112.55%2143384.58%21233222855.34%1127207254.39%642114356.17%2153155118125621017528
_Since Last GM Reset82442403038197158394126902004118793941181501034797901080.65919733252911570576414180357358262257145842746615942473112.55%2143384.58%21233222855.34%1127207254.39%642114356.17%2153155118125621017528
_Vs Conference4324110101610081192112501003544311221260001346388580.6741001712710870576414893573582622577662272588361291713.18%1181488.14%11233222855.34%1127207254.39%642114356.17%2153155118125621017528
_Vs Division265401011885533132201001492722133200010392811150.28888142230137057641465457358262257494147146520841315.48%701282.86%11233222855.34%1127207254.39%642114356.17%2153155118125621017528

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82108W2197332529180314584274661594115
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8244243038197158
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41269200411879
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41181510347979
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2473112.55%2143384.58%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
5735826225770576414
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
1233222855.34%1127207254.39%642114356.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2153155118125621017528


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 - 2023-10-115Rocket2Marlies3BWSommaire du match
5 - 2023-10-1426Minnesota2Marlies3BWXSommaire du match
7 - 2023-10-1638Baby Hawks1Marlies5BWSommaire du match
10 - 2023-10-1952Marlies2Cabaret Lady Mary Ann1AWXXSommaire du match
12 - 2023-10-2170Marlies5Thunder3AWSommaire du match
15 - 2023-10-2483Marlies1Bears2ALXXSommaire du match
17 - 2023-10-26108Marlies1Stars3ALSommaire du match
19 - 2023-10-28119Marlies1Chill0AWSommaire du match
22 - 2023-10-31139Monarchs2Marlies3BWXSommaire du match
24 - 2023-11-02145Marlies1Bruins2ALSommaire du match
26 - 2023-11-04165Crunch0Marlies5BWSommaire du match
28 - 2023-11-06177Thunder1Marlies6BWSommaire du match
30 - 2023-11-08190Senators4Marlies3BLXXSommaire du match
32 - 2023-11-10207Heat0Marlies6BWSommaire du match
33 - 2023-11-11215Comets2Marlies3BWSommaire du match
39 - 2023-11-17251Marlies2Cougars4ALSommaire du match
41 - 2023-11-19267Marlies1Minnesota6ALSommaire du match
46 - 2023-11-24295Marlies2Baby Hawks3ALXXSommaire du match
47 - 2023-11-25311Marlies1Manchots3ALSommaire du match
50 - 2023-11-28329Cabaret Lady Mary Ann2Marlies3BWSommaire du match
52 - 2023-11-30346Seattle4Marlies0BLSommaire du match
54 - 2023-12-02364Bruins3Marlies1BLSommaire du match
59 - 2023-12-07395Marlies3Senators2AWSommaire du match
61 - 2023-12-09413Chill3Marlies2BLXXSommaire du match
63 - 2023-12-11429Marlies0Sound Tigers1ALSommaire du match
64 - 2023-12-12432Marlies2Wolf Pack0AWSommaire du match
66 - 2023-12-14449Monsters1Marlies2BWSommaire du match
68 - 2023-12-16467Manchots6Marlies1BLSommaire du match
71 - 2023-12-19489Wolf Pack3Marlies4BWSommaire du match
73 - 2023-12-21498Marlies2Crunch1AWSommaire du match
75 - 2023-12-23518Marlies2Monsters3ALXXSommaire du match
79 - 2023-12-27531Senators1Marlies4BWSommaire du match
81 - 2023-12-29546Marlies1Monsters0AWSommaire du match
82 - 2023-12-30561Caroline2Marlies0BLSommaire du match
85 - 2024-01-02585Marlies1Monarchs2ALSommaire du match
86 - 2024-01-03588Marlies3Admirals2AWSommaire du match
89 - 2024-01-06607Marlies2Sags1AWSommaire du match
92 - 2024-01-09627Sags0Marlies2BWSommaire du match
94 - 2024-01-11646Marlies1Sound Tigers2ALSommaire du match
96 - 2024-01-13663Monsters0Marlies3BWSommaire du match
97 - 2024-01-14670Cougars2Marlies4BWSommaire du match
99 - 2024-01-16688Marlies3Oil Kings2AWXSommaire du match
101 - 2024-01-18697Marlies3Heat2AWSommaire du match
103 - 2024-01-20710Marlies1Comets3ALSommaire du match
104 - 2024-01-21723Marlies1Seattle3ALSommaire du match
107 - 2024-01-24740Oceanics5Marlies1BLSommaire du match
110 - 2024-01-27763Marlies2Oceanics1AWSommaire du match
119 - 2024-02-05782Sound Tigers2Marlies1BLSommaire du match
121 - 2024-02-07792Stars2Marlies1BLXXSommaire du match
124 - 2024-02-10813Marlies3Senators2AWSommaire du match
127 - 2024-02-13827Chiefs3Marlies4BWSommaire du match
129 - 2024-02-15843Phantoms1Marlies2BWSommaire du match
131 - 2024-02-17858Admirals2Marlies1BLXXSommaire du match
133 - 2024-02-19867Marlies0Chiefs2ALSommaire du match
135 - 2024-02-21887Marlies0Jayhawks1ALSommaire du match
136 - 2024-02-22898Marlies2Las Vegas0AWSommaire du match
138 - 2024-02-24908Marlies1Monsters0AWSommaire du match
141 - 2024-02-27931Las Vegas1Marlies4BWSommaire du match
143 - 2024-02-29946Jayhawks2Marlies5BWSommaire du match
145 - 2024-03-02964Wolf Pack3Marlies1BLSommaire du match
147 - 2024-03-04978Bruins0Marlies2BWSommaire du match
149 - 2024-03-06990Crunch1Marlies4BWSommaire du match
150 - 2024-03-07993Marlies3Bruins2AWXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091015Marlies1Rocket3ALSommaire du match
157 - 2024-03-141050Marlies2Phantoms3ALXXSommaire du match
159 - 2024-03-161067Caroline0Marlies2BWSommaire du match
162 - 2024-03-191086Marlies0Phantoms2ALSommaire du match
163 - 2024-03-201095Marlies3Bears0AWSommaire du match
166 - 2024-03-231118Oil Kings1Marlies2BWSommaire du match
167 - 2024-03-241127Marlies1Caroline3ALSommaire du match
169 - 2024-03-261139Spiders0Marlies3BWSommaire du match
171 - 2024-03-281155Bears2Marlies4BWSommaire du match
173 - 2024-03-301171Marlies4Crunch2AWSommaire du match
175 - 2024-04-011185Cabaret Lady Mary Ann4Marlies3BLSommaire du match
177 - 2024-04-031197Thunder2Marlies7BWSommaire du match
180 - 2024-04-061223Marlies3Rocket2AWXXSommaire du match
182 - 2024-04-081237Manchots0Marlies1BWSommaire du match
183 - 2024-04-091243Marlies2Spiders1AWSommaire du match
185 - 2024-04-111260Spiders2Marlies3BWSommaire du match
187 - 2024-04-131277Cougars5Marlies4BLSommaire du match
190 - 2024-04-161297Marlies3Cabaret Lady Mary Ann0AWSommaire du match
191 - 2024-04-171304Marlies7Thunder4AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité40002000
Prix des billets5020
Assistance102,34554,623
Assistance PCT62.41%66.61%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 3828 - 63.81% 181,748$7,451,652$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,316,474$ 3,265,166$ 3,265,166$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,006$ 2,316,474$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 17,006$ 0$




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