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Connexion

Monsters
GP: 24 | W: 13 | L: 11 | OTL: 0 | P: 26
GF: 80 | GA: 90 | PP%: 43.14% | PK%: 49.06%
DG: Carl Morin | Morale : 83 | Moyenne d’équipe : 66
Prochains matchs #381 vs Bears
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Centre de jeu
Senators
10-13-0, 20pts
2
FINAL
1 Monsters
13-11-0, 26pts
Team Stats
L1StreakW1
5-7-0Home Record7-5-0
5-6-0Away Record6-6-0
5-5-0Last 10 Games6-4-0
3.35Buts par match 3.33
3.87Buts contre par match 3.75
30.77%Pourcentage en avantage numérique43.14%
53.70%Pourcentage en désavantage numérique49.06%
Gulls
11-9-2, 24pts
2
FINAL
4 Monsters
13-11-0, 26pts
Team Stats
L1StreakW1
8-4-0Home Record7-5-0
3-5-2Away Record6-6-0
4-5-1Last 10 Games6-4-0
3.91Buts par match 3.33
3.73Buts contre par match 3.75
47.17%Pourcentage en avantage numérique43.14%
62.50%Pourcentage en désavantage numérique49.06%
Monsters
13-11-0, 26pts
2024-12-02
Bears
14-9-1, 29pts
Statistiques d’équipe
W1SéquenceW5
7-5-0Fiche domicile8-3-1
6-6-0Fiche visiteur6-6-0
6-4-010 derniers matchs6-3-1
3.33Buts par match 3.38
3.75Buts contre par match 3.38
43.14%Pourcentage en avantage numérique22.92%
49.06%Pourcentage en désavantage numérique53.70%
Devils
13-10-2, 28pts
2024-12-04
Monsters
13-11-0, 26pts
Statistiques d’équipe
L1SéquenceW1
7-3-1Fiche domicile7-5-0
6-7-1Fiche visiteur6-6-0
6-4-010 derniers matchs6-4-0
3.44Buts par match 3.33
3.40Buts contre par match 3.33
31.82%Pourcentage en avantage numérique43.14%
55.00%Pourcentage en désavantage numérique49.06%
Monsters
13-11-0, 26pts
2024-12-06
Griffins
9-9-4, 22pts
Statistiques d’équipe
W1SéquenceL1
7-5-0Fiche domicile6-3-3
6-6-0Fiche visiteur3-6-1
6-4-010 derniers matchs4-5-1
3.33Buts par match 3.50
3.75Buts contre par match 3.50
43.14%Pourcentage en avantage numérique38.89%
49.06%Pourcentage en désavantage numérique61.54%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
80
3.33 GFG
Tirs pour
490
20.42 Avg
Pourcentage en avantage numérique
43.1%
22 GF
Début de zone offensive
28.9%
Buts contre
90
3.75 GAA
Tirs contre
533
22.21 Avg
Pourcentage en désavantage numérique
49.1%
27 GA
Début de la zone défensive
26.6%
Informations de l'équipe

Directeur généralCarl Morin
EntraîneurPaul McFarland
DivisionNord
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance6,537
Billets de saison1,600


Informations de la formation

Équipe Pro14
Équipe Mineure19
Limite contact 33 / 60
Espoirs36


Historique d'équipe

Saison actuelle13-11-0 (26PTS)
Historique104-78-18 (0.520%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)8-14
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
1Liam O'BrienX100.00899355738379907250696572708575080740303775,000$
2Nathan WalkerX100.00784584757381827050666770717868080730302750,000$
3Logan Stankoven (R)XX100.00644082827385657155686667735250078710212814,167$
4Aleksi HeponiemiXX100.00544074715263646460655660645250080630251775,000$
5Emilio PettersenX100.00584466686066646344645660625250080620241775,000$
6Jan JenikX100.00624465676565636444625960635150080620241775,000$
7Adam BeckmanX100.00584271656564626443596051635150080610231775,000$
8Colin MillerX100.00744077747985847240656773718373080750322750,000$
9Jacob MacDonaldX100.00684574747981767140627166727565080710312750,000$
10Christian WolaninX100.00574271666370686240635567616050080640291750,000$
11Louie BelpedioX100.00574661656267646040525562605851080600281750,000$
12Gianni FairbrotherX100.00504850515350505040505050505050080500241775,000$
Rayé
MOYENNE D’ÉQUIPE100.0064476969677169654662616365625708066
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
1Dustin Wolf (R)100.0082757472787774767678735851080720232850,000$
2Joel Blomqvist (R)100.0075636965717375747572595050080670221750,000$
Rayé
MOYENNE D’ÉQUIPE100.007969726975757575767566545108070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul McFarland6060606055551CAN3811,000,000$


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
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


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé 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 10Link
Adam BeckmanMonsters (CBJ)LW232001-05-10No193 Lbs6 ft2NoNoNo1Pro & Farm775,000$555,168$0$0$NoLien NHL
Aleksi HeponiemiMonsters (CBJ)C/LW251999-01-09No154 Lbs5 ft10NoNoNo1Pro & Farm775,000$555,168$0$0$NoLien NHL
Christian WolaninMonsters (CBJ)D291995-03-17No190 Lbs6 ft2NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Colin Miller (contrat à 1 volet)Monsters (CBJ)D321992-10-29No200 Lbs6 ft1NoNoNo2Pro & Farm750,000$544,186$0$0$No750,000$Lien NHL
Dustin WolfMonsters (CBJ)G232001-04-16Yes166 Lbs6 ft0NoNoNo2Pro & Farm850,000$608,894$0$0$No850,000$Lien NHL
Emilio PettersenMonsters (CBJ)LW242000-04-03No180 Lbs5 ft11NoNoNo1Pro & Farm775,000$555,168$0$0$NoLien NHL
Gianni FairbrotherMonsters (CBJ)D242000-09-30No204 Lbs6 ft0NoNoNo1Pro & Farm775,000$555,168$0$0$NoLien NHL
Jacob MacDonaldMonsters (CBJ)D311993-02-26No204 Lbs6 ft0NoNoNo2Pro & Farm750,000$537,260$0$0$No750,000$Lien NHL
Jan JenikMonsters (CBJ)C242000-09-15No192 Lbs6 ft1NoNoNo1Pro & Farm775,000$555,168$0$0$NoLien NHL
Joel BlomqvistMonsters (CBJ)G222002-01-10Yes187 Lbs6 ft2NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Liam O'BrienMonsters (CBJ)LW301994-07-29No213 Lbs6 ft1NoNoNo3Pro & Farm775,000$555,168$0$0$No775,000$775,000$Lien NHL
Logan StankovenMonsters (CBJ)C/RW212003-02-26Yes171 Lbs5 ft8NoNoNo2Pro & Farm814,167$583,225$0$0$No814,167$
Louie BelpedioMonsters (CBJ)D281996-05-14No196 Lbs5 ft11NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Nathan WalkerMonsters (CBJ)LW301994-02-07No187 Lbs5 ft9NoNoNo2Pro & Farm750,000$537,260$0$0$No750,000$Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1426.14188 Lbs6 ft01.50772,441$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
136122
230122
324122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
136122
230122
324122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
1 Gulls11000000422110000004220000000000021.000481200529406239818919581024154250.00%220.00%015629253.42%13426949.81%21244947.22%530330531202385190
2Barracuda42200000815-71100000032131200000513-840.500815230052940667981891958893818396116.67%9544.44%015629253.42%13426949.81%21244947.22%530330531202385190
3Bruins11000000431000000000001100000043121.000471100529406249818919581696222150.00%3166.67%015629253.42%13426949.81%21244947.22%530330531202385190
4Checkers3010200014140100010006512010100089-140.66714274100529406739818919581054110278450.00%550.00%015629253.42%13426949.81%21244947.22%530330531202385190
5Comets20101000770100010004311010000034-120.50071219005294064398189195841138293266.67%4175.00%015629253.42%13426949.81%21244947.22%530330531202385190
6Crunch1010000045-1000000000001010000045-100.0004711005294063298189195818210133266.67%5340.00%015629253.42%13426949.81%21244947.22%530330531202385190
7Devils21001000633110000003121000100032141.0006101600529406419818919582784314125.00%20100.00%015629253.42%13426949.81%21244947.22%530330531202385190
8Marlies1010000036-3000000000001010000036-300.00035800529406119818919582551493133.33%7271.43%015629253.42%13426949.81%21244947.22%530330531202385190
9Moose1010000026-41010000026-40000000000000.00023500529406189818919582710413200.00%220.00%015629253.42%13426949.81%21244947.22%530330531202385190
10Penguins1010000027-51010000027-50000000000000.000246005294061998189195828114123133.33%20100.00%015629253.42%13426949.81%21244947.22%530330531202385190
11Plotes1010000024-21010000024-20000000000000.00023500529406209818919582592811100.00%10100.00%015629253.42%13426949.81%21244947.22%530330531202385190
12Reigns11000000716110000007160000000000021.00071421005294062698189195820104833100.00%2150.00%015629253.42%13426949.81%21244947.22%530330531202385190
13Senators1010000012-11010000012-10000000000000.000123005294061398189195821509100.00%000.00%015629253.42%13426949.81%21244947.22%530330531202385190
14Wild210010001082100010005411100000054141.00010192900529406469818919583088306116.67%4325.00%115629253.42%13426949.81%21244947.22%530330531202385190
15Wolf Pack10001000321000000000001000100032121.0003690052940620981891958227412000.00%30100.00%015629253.42%13426949.81%21244947.22%530330531202385190
16Wolfes1010000035-21010000035-20000000000000.000369005294061498189195829941022100.00%220.00%015629253.42%13426949.81%21244947.22%530330531202385190
Total24711060008090-10124503000424201236030003848-10260.5428014822800529406490981891958533187104287512243.14%532749.06%115629253.42%13426949.81%21244947.22%530330531202385190
_Since Last GM Reset24711060008090-10124503000424201236030003848-10260.5428014822800529406490981891958533187104287512243.14%532749.06%115629253.42%13426949.81%21244947.22%530330531202385190
_Vs Conference1647050005661-5924030002934-57230200027270180.563561021580052940635298189195834811860209371540.54%301743.33%115629253.42%13426949.81%21244947.22%530330531202385190
_Vs Division724050002526-1311030001113-24130200014131141.0002547720052940615398189195818267228215640.00%12558.33%015629253.42%13426949.81%21244947.22%530330531202385190

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2426W18014822849053318710428700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2471160008090
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
124530004242
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
123630003848
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
512243.14%532749.06%1
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
981891958529406
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
15629253.42%13426949.81%21244947.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
530330531202385190


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 - 2024-10-033Devils1Monsters3BWSommaire du match
4 - 2024-10-0622Monsters3Checkers2AWXSommaire du match
6 - 2024-10-0836Monsters5Wild4AWSommaire du match
8 - 2024-10-1042Monsters1Barracuda5ALSommaire du match
10 - 2024-10-1258Checkers5Monsters6BWXSommaire du match
13 - 2024-10-1575Monsters4Crunch5ALSommaire du match
15 - 2024-10-1789Penguins7Monsters2BLSommaire du match
17 - 2024-10-1998Monsters3Comets4ALSommaire du match
19 - 2024-10-21113Plotes4Monsters2BLSommaire du match
23 - 2024-10-25138Monsters3Marlies6ALSommaire du match
25 - 2024-10-27149Monsters3Devils2AWXSommaire du match
26 - 2024-10-28155Reigns1Monsters7BWSommaire du match
29 - 2024-10-31179Wild4Monsters5BWXSommaire du match
32 - 2024-11-03197Monsters5Checkers7ALSommaire du match
35 - 2024-11-06212Comets3Monsters4BWXSommaire du match
37 - 2024-11-08228Monsters2Barracuda1AWSommaire du match
39 - 2024-11-10242Moose6Monsters2BLSommaire du match
42 - 2024-11-13257Monsters4Bruins3AWSommaire du match
45 - 2024-11-16274Wolfes5Monsters3BLSommaire du match
47 - 2024-11-18286Monsters2Barracuda7ALSommaire du match
49 - 2024-11-20302Barracuda2Monsters3BWSommaire du match
52 - 2024-11-23321Monsters3Wolf Pack2AWXSommaire du match
54 - 2024-11-25332Senators2Monsters1BLSommaire du match
58 - 2024-11-29360 Gulls2Monsters4BWSommaire du match
61 - 2024-12-02381Monsters-Bears-
63 - 2024-12-04391Devils-Monsters-
65 - 2024-12-06405Monsters-Griffins-
67 - 2024-12-08413Monsters-Americans-
69 - 2024-12-10427Heat-Monsters-
73 - 2024-12-14450plote-Monsters-
75 - 2024-12-16461Monsters-Condors-
77 - 2024-12-18479Islanders-Monsters-
79 - 2024-12-20489Monsters-Islanders-
81 - 2024-12-22506Monsters-Eagles-
83 - 2024-12-24520Comets-Monsters-
85 - 2024-12-26532Monsters-Penguins-
87 - 2024-12-28545Thunderbirds-Monsters-
91 - 2025-01-01572Monsters-Crunch-
93 - 2025-01-03582Wild-Monsters-
95 - 2025-01-05598Monsters-Checkers-
97 - 2025-01-07613Monsters-plote-
98 - 2025-01-08616Eagles-Monsters-
101 - 2025-01-11637Plotes-Monsters-
104 - 2025-01-14654Monsters-Wild-
107 - 2025-01-17672Monsters-Rocket-
108 - 2025-01-18679Bears-Monsters-
112 - 2025-01-22702Bruins-Monsters-
117 - 2025-01-27730Griffins-Monsters-
120 - 2025-01-30751Monsters-Marlies-
121 - 2025-01-31762Phantoms-Monsters-
124 - 2025-02-03781Monsters- Gulls-
126 - 2025-02-05789Checkers-Monsters-
128 - 2025-02-07806Monsters-Stars-
130 - 2025-02-09820Admirals-Monsters-
134 - 2025-02-13846Rocket-Monsters-
136 - 2025-02-15860Monsters-Plotes-
139 - 2025-02-18878Stars-Monsters-
143 - 2025-02-22904Monsters-Reigns-
144 - 2025-02-23912Moose-Monsters-
147 - 2025-02-26927Monsters-IceHogs-
149 - 2025-02-28942IceHogs-Monsters-
151 - 2025-03-02952Monsters-Admirals-
154 - 2025-03-05971Monsters-Wolfes-
156 - 2025-03-07978Reigns-Monsters-
158 - 2025-03-09994Monsters-Thunderbirds-
159 - 2025-03-101001Monsters-Comets-
161 - 2025-03-121014Penguins-Monsters-
164 - 2025-03-151030Monsters-Reigns-
166 - 2025-03-171044Wolf Pack-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
168 - 2025-03-191054Monsters-Heat-
171 - 2025-03-221075Thunderbirds-Monsters-
174 - 2025-03-251096Wolf Pack-Monsters-
176 - 2025-03-271106Monsters-Devils-
178 - 2025-03-291123Monsters-Phantoms-
180 - 2025-03-311136Monsters-Senators-
182 - 2025-04-021143Marlies-Monsters-
185 - 2025-04-051163Monsters-Moose-
187 - 2025-04-071176Condors-Monsters-
191 - 2025-04-111195Monsters-Moose-
193 - 2025-04-131207Crunch-Monsters-
197 - 2025-04-171234Crunch-Monsters-
204 - 2025-04-241257Americans-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50003000
Prix des billets3515
Assistance49,07829,361
Assistance PCT81.80%81.56%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 6537 - 81.71% 161,861$1,942,330$8000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
561,546$ 1,006,417$ 1,006,417$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 277,914$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,693,964$ 149 9,646$ 1,437,254$




Monsters Leaders statistiques (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
1Brendan Smith96421201620461951055847.19%103229123.873737748902244250.0021.4100
2Joey Keane16419799811879585493.46%69268616.38171734441015130.00%00.7300
3Mark Letestu8225507523231983497.16%20121214.78347800005169.4811.2400
4Troy Brouwer82193453211070452029.41%29118914.51033100005065.3800.8900
5Emil Bemström292526511818171917514.29%1355119.0089171501125160.9801.8500

Monsters 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
1Anders Nilsson89671820.9132.0352346917720451027301.0002
2Jack Campbell1813220.9252.1910392238509260100.00%0
3Craig Anderson21000.8462.7943002135000.00%0

Monsters 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
2020825221063003823028041289031001981475141241203200184155291193826891071026216315163389107711811113182509779313126121012860.95%1566359.62%4907159256.97%759130658.12%959160359.83%1831111217616731342691
202182601603210315164151413160211017076944129100110014588571303155718860944131136525117328579177185657133111641869651.61%1623777.16%9654125452.15%692136550.70%779144853.80%1917119517066661311685
202424711060008090-10124503000424201236030003848-10268014822800529406490981891958533187104287512243.14%532749.06%115629253.42%13426949.81%21244947.22%530330531202385190
Total Saison régulière1888578018610647622259453300830035629165943248010310291331-402146471209185629932432922044791093161317344248751723808238938417545.57%39917855.39%141224249549.06%1294276046.88%1703349148.78%407724764175162130681514
Séries éliminatoires
2020404000001122-1120200000511-620200000611-5011203100047013951295729523185813430.77%9277.78%0357745.45%254753.19%468554.12%1026675306434
2021844000001822-44220000079-2422000001113-28183351002790156385167027397408312325.00%20670.00%13610434.62%6819934.17%4912539.20%140772057813460
2021844000001822-44220000079-2422000001113-28183351002790156385167027397408312325.00%20670.00%13610434.62%6819934.17%4912539.20%140772057813460
Total Séries éliminatoires22814000006062-2126600000403461028000002028-81660114174024262825127820421020562200152268382052.63%782271.79%214427452.55%20843647.71%21641252.43%509306517201367181

Monsters Leaders statistiques (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 Keane36055-17011131010.00%1946212.8500000000000.00%00.2200
2Troy Brouwer4112-4033195.26%05714.31000000000075.0000.7000
3Mark Letestu4202-40021811.11%05714.31000000000070.1800.7000
4Brendan Smith1000021070.00%12323.4700000000000.00%00.00%00

Monsters 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
1Anders Nilsson28161200.9182.7116800076924472000.00%0
2Craig Anderson40400.9293.00240001216896000.00%0