Connexion

Monsters
GP: 59 | W: 31 | L: 25 | OTL: 3 | P: 65
GF: 310 | GA: 311 | PP%: 33.93% | PK%: 61.19%
DG: | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #948 vs Stars
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Centre de jeu
Monsters
31-25-3, 65pts
8
FINAL
7 Rocket
37-20-1, 75pts
Team Stats
W3StreakL2
15-12-2Home Record15-13-1
16-13-1Away Record22-7-0
7-3-0Last 10 Games8-2-0
5.25Buts par match 4.29
5.27Buts contre par match 3.47
33.93%Pourcentage en avantage numérique28.89%
61.19%Pourcentage en désavantage numérique71.60%
Phantoms
31-26-1, 63pts
3
FINAL
4 Monsters
31-25-3, 65pts
Team Stats
L1StreakW3
17-11-1Home Record15-12-2
14-15-0Away Record16-13-1
6-4-0Last 10 Games7-3-0
3.97Buts par match 5.25
3.76Buts contre par match 5.27
28.92%Pourcentage en avantage numérique33.93%
74.34%Pourcentage en désavantage numérique61.19%
Stars
36-14-7, 79pts
2022-10-10
Monsters
31-25-3, 65pts
Statistiques d’équipe
W3SéquenceW3
20-7-3Fiche domicile15-12-2
16-7-4Fiche visiteur16-13-1
6-2-210 derniers matchs7-3-0
4.67Buts par match 5.25
3.30Buts contre par match 5.25
26.45%Pourcentage en avantage numérique33.93%
71.95%Pourcentage en désavantage numérique61.19%
Monsters
31-25-3, 65pts
2022-10-12
Barrucada
37-17-3, 77pts
Statistiques d’équipe
W3SéquenceW2
15-12-2Fiche domicile19-9-1
16-13-1Fiche visiteur18-8-2
7-3-010 derniers matchs6-3-1
5.25Buts par match 4.89
5.27Buts contre par match 4.89
33.93%Pourcentage en avantage numérique29.11%
61.19%Pourcentage en désavantage numérique71.84%
Checkers
28-28-4, 60pts
2022-10-13
Monsters
31-25-3, 65pts
Statistiques d’équipe
L1SéquenceW3
12-17-0Fiche domicile15-12-2
16-11-4Fiche visiteur16-13-1
5-4-110 derniers matchs7-3-0
4.47Buts par match 5.25
4.73Buts contre par match 5.25
30.86%Pourcentage en avantage numérique33.93%
63.37%Pourcentage en désavantage numérique61.19%
Meneurs d'équipe
Carson MeyerButs
Carson Meyer
53
Tyler AnglePasses
Tyler Angle
48
Carson MeyerPoints
Carson Meyer
81
Josh DunnePlus/Moins
Josh Dunne
14
Victoires
Jean-Francois Berube
18
Pourcentage d’arrêts
Jean-Francois Berube
0.889

Statistiques d’équipe
Buts pour
310
5.25 GFG
Tirs pour
2564
43.46 Avg
Pourcentage en avantage numérique
33.9%
57 GF
Début de zone offensive
41.7%
Buts contre
311
5.27 GAA
Tirs contre
2189
37.10 Avg
Pourcentage en désavantage numérique
61.2%
52 GA
Début de la zone défensive
35.1%
Informations de l'équipe

Directeur général
EntraîneurMike Eaves
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro12
Équipe Mineure24
Limite contact 36 / 20
Espoirs0


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
1Liam FoudyX100.006038887079867069786762677164658240650221894,167$
2Kevin StenlundX96.0075368563898173667266676265687065406502511,050,000$
3Kasper BjorkqvistX98.0068388266787382645564645763666871406302410$
4Carson MeyerX98.006139786570838566586370596366685340630241820,000$
5Josh DunneX100.0082427658898166607358616657656742406202310$
6Tyler AngleX98.005836906568888964596660566464665740620213850,833$
7Tyler SikuraX98.006839846179828160676360606171733440620301750,000$
8Gavin BayreutherX100.006951766177817664307364645169713540630282750,000$
9Jake ChristiansenX100.0064378363738385633064655461646651406202210$
10Billy SweezeyX99.0073376354816389563055555445676941405802610$
Rayé
1Zac RinaldoX100.009950716883626160506561695179732940650311750,000$
MOYENNE D’ÉQUIPE98.82714080637978786355646361596869514063
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
1Jean-Francois Berube95.007872848184687879796071658669406203010$
Rayé
MOYENNE D’ÉQUIPE95.0078728481846878797960716586694062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Eaves72646964999446USA652700,000$


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
1Carson MeyerMonsters (CLB)RW56532881612073813007020217.67%21110119.6711718471240110357019.6711500031.4701000437
2Liam FoudyMonsters (CLB)C59354378-140461573038322011.55%43108518.4035820541011535118.4096500001.4401000141
3Kasper BjorkqvistMonsters (CLB)RW59264672126045912187020311.93%2899816.9227922850000111016.927600001.4411000115
4Tyler AngleMonsters (CLB)LW4821486926051902026116710.40%27103921.653811221180110261021.658900001.3300000124
5Kevin StenlundMonsters (CLB)C42164763180103124222551207.21%2295722.801171829950113781022.80127300011.3211000321
6Gavin BayreutherMonsters (CLB)D48184260-749511070104328017.31%69108622.648101850125000064220.00%000011.1000001121
7Tyler SikuraMonsters (CLB)C591741581605978250741666.80%49105117.8207722590000142017.8216600011.1000000222
8Zac RinaldoMonsters (CLB)C38223557-5360133771493911714.77%2370018.44641020580001420118.4480400001.6300000321
9Josh DunneMonsters (CLB)C4921335414461010862151588313.91%3979616.25011732000091016.257800021.3600101203
10Jake ChristiansenMonsters (CLB)D59104050-7160685610742759.35%79126921.526121845137000295000.00%100000.7900000013
11Yegor ChinakhovBlue JacketsRW2520254596030431413811814.18%1254421.7634718580001111321.763500021.6500000510
12Gabriel CarlssonBlue JacketsD241030405120503167235214.93%4456623.624482856000037200.00%000001.4100000032
13Billy SweezeyMonsters (CLB)D599283744601454574246212.16%89106318.02551039111101271100.00%000000.7000000012
14Emil BemstromBlue JacketsC27171936-6201845127299213.39%1850618.7527920570000151018.7513700011.4200000301
15Brendan GaunceBlue JacketsC94812-56023263252712.50%020623.001454210000181023.0029700001.1600000012
16Scott HarringtonBlue JacketsD9448-52016112691515.38%1119621.792021818000018110.00%000000.8200000110
Statistiques d’équipe totales ou en moyenne6703035178201826315107810872473712179912.25%5741317019.665710215941112172351060527855.28%4036000111.2524102272635
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
1Jean-Francois BerubeMonsters (CLB)31181010.8893.991656401109880400.8005310010
Statistiques d’équipe totales ou en moyenne31181010.8893.991656401109880400.8005310010


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 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
Billy SweezeyMonsters (CLB)D261996-02-06No205 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLien / Lien NHL
Carson MeyerMonsters (CLB)RW241997-08-18No184 Lbs5 ft11NoNoNo1Pro & Farm820,000$246,882$0$0$NoLien / Lien NHL
Gavin BayreutherMonsters (CLB)D281994-05-12No196 Lbs6 ft1NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Jake ChristiansenMonsters (CLB)D221999-09-12No186 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLien / Lien NHL
Jean-Francois BerubeMonsters (CLB)G301991-07-13No176 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLien
Josh DunneMonsters (CLB)C231998-12-08No210 Lbs6 ft4NoNoNo1Pro & Farm0$0$NoLien / Lien NHL
Kasper BjorkqvistMonsters (CLB)RW241997-07-10No198 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLien
Kevin StenlundMonsters (CLB)C251996-09-20No211 Lbs6 ft4NoNoNo1Pro & Farm1,050,000$316,129$0$0$NoLien / Lien NHL
Liam FoudyMonsters (CLB)C222000-02-04No187 Lbs6 ft2NoNoNo1Pro & Farm894,167$269,212$0$0$NoLien / Lien NHL
Tyler AngleMonsters (CLB)LW212000-09-30No172 Lbs5 ft11NoNoNo3Pro & Farm850,833$256,165$0$0$No850,833$850,833$Lien / Lien NHL
Tyler SikuraMonsters (CLB)C301992-05-18No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Zac RinaldoMonsters (CLB)C311990-06-15No188 Lbs5 ft10NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1225.50192 Lbs6 ft11.25488,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler AngleKevin StenlundCarson Meyer40122
2Tyler SikuraKasper Bjorkqvist30122
3Liam Foudy20122
4Kevin StenlundTyler Sikura10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin BayreutherJake Christiansen40122
2Billy Sweezey30122
320122
4Gavin BayreutherJake Christiansen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler AngleKevin StenlundCarson Meyer60122
2Tyler SikuraKasper Bjorkqvist40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin BayreutherJake Christiansen60122
2Billy Sweezey40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin Stenlund60122
2Liam FoudyCarson Meyer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin BayreutherJake Christiansen60122
2Billy Sweezey40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kevin Stenlund60122Gavin BayreutherJake Christiansen60122
240122Billy Sweezey40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kevin Stenlund60122
2Liam FoudyCarson Meyer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin BayreutherJake Christiansen60122
2Billy Sweezey40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler AngleKevin StenlundCarson MeyerGavin BayreutherJake Christiansen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler AngleKevin StenlundCarson MeyerGavin BayreutherJake Christiansen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Kasper Bjorkqvist, Tyler Angle, Kasper BjorkqvistTyler Angle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Billy Sweezey, Gavin Bayreuther, Jake ChristiansenBilly SweezeyGavin Bayreuther, Jake Christiansen
Tirs de pénalité
Kevin Stenlund, , Liam Foudy, Carson Meyer, Kasper Bjorkqvist
Gardien
#1 : Jean-Francois Berube, #2 :
Lignes d’attaque personnalisées en prolongation
Kevin Stenlund, , Liam Foudy, Carson Meyer, Kasper Bjorkqvist, Tyler Sikura, Tyler Sikura, Tyler Angle, , ,
Lignes de défense personnalisées en prolongation
Gavin Bayreuther, Jake Christiansen, Billy Sweezey, ,


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
1Admirals220000001486110000006241100000086241.0001426400012896825948648358492170201023300.00%40100.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
2American1010000069-3000000000001010000069-300.00061117001289682551864835849213313815200.00%4175.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
3Bears31200000611-531200000611-50000000000020.333612180012896825106864835849211193514565120.00%7185.71%01066211350.45%861178248.32%574117748.77%13779941456403722353
4Bruins20200000610-41010000034-11010000036-300.0006111700128968257386483584921932514487228.57%7271.43%01066211350.45%861178248.32%574117748.77%13779941456403722353
5Canucks1010000037-4000000000001010000037-400.000358001289682531864835849213613620200.00%220.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
6Checkers1010000039-61010000039-60000000000000.0003690012896825348648358492143110174125.00%000.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
7Chekers11000000936110000009360000000000021.0009152400128968255586483584921309214000.00%000.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
8Comets20200000516-110000000000020200000516-1100.000591400128968257286483584921912712436233.33%6350.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
9Condors11000000734000000000001100000073421.00071219001289682547864835849213416215100.00%10100.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
10Eagles2020000069-31010000035-21010000034-100.000611170012896825598648358492175298395360.00%3166.67%01066211350.45%861178248.32%574117748.77%13779941456403722353
11Griffins421010002823511000000972311010001916360.7502847750012896825196864835849211422520888562.50%10460.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
12Gulls22000000844220000008440000000000041.0008132100128968259186483584921531510409444.44%5260.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
13Heat21100000151411010000068-21100000096320.50015254000128968258886483584921722310416233.33%5180.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
14IceHogs220000001596110000008351100000076141.00015274200128968251168648358492182218478562.50%30100.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
15Islanders4220000022175211000001064211000001211140.5002240620012896825181864835849211414134818450.00%13746.15%01066211350.45%861178248.32%574117748.77%13779941456403722353
16Marlies21000100161421000010078-11100000096330.750162743001289682510486483584921912212267457.14%6350.00%21066211350.45%861178248.32%574117748.77%13779941456403722353
17Moose20100100611-51010000037-41000010034-110.250611170012896825688648358492184228464125.00%4175.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
18Penguins330000002010102200000014591100000065161.000203555001289682515386483584921783511591000.00%3233.33%01066211350.45%861178248.32%574117748.77%13779941456403722353
19Phantoms312000001112-1211000006601010000056-120.333112031001289682513186483584921921810648225.00%5180.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
20Reign20200000615-91010000034-110100000311-800.000611170012896825768648358492195321434500.00%7185.71%01066211350.45%861178248.32%574117748.77%13779941456403722353
21Roadrunners220000001459110000007341100000072541.000142438001289682510386483584921592010396116.67%5180.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
22Rocket21000100161601000010089-11100000087130.7501627430012896825918648358492194314406233.33%2150.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
23Senators20200000917-81010000048-41010000059-400.000916250012896825668648358492186238575120.00%4325.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
24Silver Knights2100100015114100010008711100000074341.000152843001289682510586483584921621684811436.36%4325.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
25Stars1010000038-5000000000001010000038-500.0003690012896825318648358492152116254125.00%3166.67%01066211350.45%861178248.32%574117748.77%13779941456403722353
26Thunderbirds21100000511-61100000041310100000110-920.500591400128968257886483584921822812405120.00%6350.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
27Wild210010001293100010007611100000053241.0001218300012896825998648358492162214359444.44%2150.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
28Wolf Pack11000000642000000000001100000064221.000612180012896825378648358492128106296466.67%3166.67%01066211350.45%861178248.32%574117748.77%13779941456403722353
29Wolves31100010181621010000038-521000010158740.6671830480012896825128864835849211103220568337.50%10640.00%01066211350.45%861178248.32%574117748.77%13779941456403722353
Total59272503310310311-1291312022001451341130141301110165177-12650.5513105448540012896825256486483584921218964429111851685733.93%1345261.19%21066211350.45%861178248.32%574117748.77%13779941456403722353
_Since Last GM Reset59272503310310311-1291312022001451341130141301110165177-12650.5513105448540012896825256486483584921218964429111851685733.93%1345261.19%21066211350.45%861178248.32%574117748.77%13779941456403722353
_Vs Conference33131601210172184-121668002007381-817780101099103-4320.48517230347500128968251423864835849211241348173679903134.44%803556.25%21066211350.45%861178248.32%574117748.77%13779941456403722353
_Vs Division1999000108886210550000039363944000104950-1200.52688158246001289682580886483584921659198107388511631.37%472155.32%01066211350.45%861178248.32%574117748.77%13779941456403722353

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5965W331054485425642189644291118500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5927253310310311
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2913122200145134
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3014131110165177
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1685733.93%1345261.19%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
8648358492112896825
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
1066211350.45%861178248.32%574117748.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13779941456403722353


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 - 2022-06-019Bears5Monsters1BLSommaire du match
3 - 2022-06-0221Monsters6Griffins5AWXSommaire du match
6 - 2022-06-0536Monsters6Islanders3AWSommaire du match
8 - 2022-06-0751Monsters3Comets8ALSommaire du match
10 - 2022-06-0962Gulls1Monsters4BWSommaire du match
12 - 2022-06-1181Bears2Monsters3BWSommaire du match
16 - 2022-06-15107Phantoms3Monsters2BLSommaire du match
17 - 2022-06-16116Monsters9Griffins4AWSommaire du match
20 - 2022-06-19135Wolves8Monsters3BLSommaire du match
22 - 2022-06-21150Monsters10Wolves4AWSommaire du match
24 - 2022-06-23161Monsters6Wolf Pack4AWSommaire du match
26 - 2022-06-25180Islanders5Monsters2BLSommaire du match
28 - 2022-06-27191Monsters5Phantoms6ALSommaire du match
30 - 2022-06-29207Monsters6Penguins5AWSommaire du match
32 - 2022-07-01218Penguins4Monsters9BWSommaire du match
36 - 2022-07-05243Checkers9Monsters3BLSommaire du match
38 - 2022-07-07263Monsters7Condors3AWSommaire du match
40 - 2022-07-09277Reign4Monsters3BLSommaire du match
43 - 2022-07-12294Monsters2Comets8ALSommaire du match
44 - 2022-07-13310Wild6Monsters7BWXSommaire du match
47 - 2022-07-16327Monsters6American9ALSommaire du match
49 - 2022-07-18340Islanders1Monsters8BWSommaire du match
52 - 2022-07-21367Chekers3Monsters9BWSommaire du match
54 - 2022-07-23383Monsters8Admirals6AWSommaire du match
56 - 2022-07-25394Griffins7Monsters9BWSommaire du match
58 - 2022-07-27413Monsters9Heat6AWSommaire du match
60 - 2022-07-29428Penguins1Monsters5BWSommaire du match
62 - 2022-07-31447Monsters5Wild3AWSommaire du match
64 - 2022-08-02457Monsters3Eagles4ALSommaire du match
66 - 2022-08-04470Bruins4Monsters3BLSommaire du match
69 - 2022-08-07489Moose7Monsters3BLSommaire du match
72 - 2022-08-10509Monsters3Moose4ALXSommaire du match
74 - 2022-08-12526Admirals2Monsters6BWSommaire du match
76 - 2022-08-14540Monsters3Canucks7ALSommaire du match
78 - 2022-08-16549Monsters3Bruins6ALSommaire du match
80 - 2022-08-18563Gulls3Monsters4BWSommaire du match
82 - 2022-08-20581Monsters7Roadrunners2AWSommaire du match
84 - 2022-08-22594Marlies8Monsters7BLXSommaire du match
86 - 2022-08-24609Monsters7Silver Knights4AWSommaire du match
88 - 2022-08-26624Heat8Monsters6BLSommaire du match
91 - 2022-08-29642Monsters6Islanders8ALSommaire du match
93 - 2022-08-31657Rocket9Monsters8BLXSommaire du match
95 - 2022-09-02672Monsters5Senators9ALSommaire du match
98 - 2022-09-05685Monsters3Stars8ALSommaire du match
99 - 2022-09-06698Senators8Monsters4BLSommaire du match
102 - 2022-09-09720Monsters3Reign11ALSommaire du match
103 - 2022-09-10730Silver Knights7Monsters8BWXSommaire du match
106 - 2022-09-13746Monsters1Thunderbirds10ALSommaire du match
107 - 2022-09-14759IceHogs3Monsters8BWSommaire du match
110 - 2022-09-17777Monsters7IceHogs6AWSommaire du match
112 - 2022-09-19793Thunderbirds1Monsters4BWSommaire du match
114 - 2022-09-21815Monsters4Griffins7ALSommaire du match
115 - 2022-09-22822Eagles5Monsters3BLSommaire du match
118 - 2022-09-25844Monsters5Wolves4AWXXSommaire du match
119 - 2022-09-26855Roadrunners3Monsters7BWSommaire du match
123 - 2022-09-30881Bears4Monsters2BLSommaire du match
127 - 2022-10-04907Monsters9Marlies6AWSommaire du match
129 - 2022-10-06918Monsters8Rocket7AWSommaire du match
130 - 2022-10-07926Phantoms3Monsters4BWSommaire du match
133 - 2022-10-10948Stars-Monsters-
135 - 2022-10-12970Monsters-Barrucada-
136 - 2022-10-13978Checkers-Monsters-
140 - 2022-10-171003Monsters-Phantoms-
142 - 2022-10-191012Wolf Pack-Monsters-
145 - 2022-10-221037Crunch-Monsters-
147 - 2022-10-241051Monsters-Chekers-
149 - 2022-10-261068American-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2022-10-281083Monsters-Moose-
153 - 2022-10-301099Monsters-Bears-
154 - 2022-10-311107Canucks-Monsters-
157 - 2022-11-031124Monsters-Checkers-
159 - 2022-11-051138Monsters-Gulls-
160 - 2022-11-061146Wolves-Monsters-
163 - 2022-11-091170Condors-Monsters-
164 - 2022-11-101179Monsters-Penguins-
167 - 2022-11-131200Monsters-Wolf Pack-
168 - 2022-11-141208Comets-Monsters-
172 - 2022-11-181230Monsters-Bears-
173 - 2022-11-191241Barrucada-Monsters-
177 - 2022-11-231266Monsters-Crunch-
178 - 2022-11-241274Comets-Monsters-
183 - 2022-11-291301Wolf Pack-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
995,778$ 586,500$ 586,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,153$ 506,504$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 6,917$ 387,352$




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

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

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

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

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