Monsters

GP: 6 | W: 3 | L: 3 | OTL: 0 | P: 6
GF: 42 | GA: 37 | PP%: 51.61% | PK%: 50.00%
DG: Mick St-Amour | Morale : 50 | Moyenne d'Équipe : 66
Prochain matchs #86 vs Phantoms
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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 SP
1Scott LaughtonX99.008347746775789566807064796569667952710
2Riley SheahanX100.006842896586749563786261806175706852700
3Denis GurianovX99.006435946579817263626461625763628552690
4Joseph BlandisiX99.005540795970766858626057585569655452650
5Sven AndrighettoX100.005737886668697764526361656271675852650
6A.J. GreerX99.006540806185766860615960615565637552630
7Julien GauthierX99.007838845892949556575459625963627352630
8Nicholas BaptisteX100.006536915778949356585554565567646548610
9Ben HarpurX98.008375646097836459306354704867645952690
10Karl AlznerX98.006836925986837958305653684579716852680
11Timothy LiljegrenX100.006437896073857958305652615360628352640
12Brendan GuhleX100.006337886079846759306154584663627252630
13Jakub ZborilX100.005837886074816959305853574563628552620
Rayé
1Joel Eriksson EkX99.887639836879727067746566716363638240680
MOYENNE D'ÉQUIPE99.29684185628081786052605865556765725166
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 SP
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Murray82847681969047CAN643800,000$


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
1Scott LaughtonMonsters (CLB)C610152541008833162530.30%013622.76651111200000161176.08%20915023.6600000310
2Denis GurianovMonsters (CLB)RW6915244001333371827.27%512320.554913620000170066.67%974013.8900000132
3A.J. GreerMonsters (CLB)LW69312240134246937.50%512621.16325420000171066.67%2124011.8900000013
4Ben HarpurMonsters (CLB)D6066612014512580.00%516026.72022217000017000.00%0215000.7500000000
5Riley SheahanMonsters (CLB)C6426-4204625121716.00%311819.671122100001200180.00%6047001.0200000000
6Timothy LiljegrenMonsters (CLB)D61560002362316.67%512220.37134213000014000.00%0011000.9800000000
7Joseph BlandisiMonsters (CLB)C6325040832091315.00%110617.8200003000170076.00%2531000.9400000000
8Sven AndrighettoMonsters (CLB)RW6145-20048215154.76%29916.56112210000000083.33%646001.0100000000
9Nicholas BaptisteMonsters (CLB)RW6224-1556372728.57%39515.93011080000010100.00%224000.8400010010
10Julien GauthierMonsters (CLB)RW62240235552111189.52%110617.69000020000200100.00%427000.7500001000
11Brendan GuhleMonsters (CLB)D6033120577460.00%512320.6100001400021400100.00%135000.4900000000
12Karl AlznerMonsters (CLB)D60336003513550.00%616527.53011017000023000.00%039000.3600000000
13Jakub ZborilMonsters (CLB)D6022-740222300.00%48414.110000200005000.00%107000.4700000000
14Joel Eriksson EkMonsters (CLB)C2000-200314010.00%12311.7600000000010066.67%604000.0000000000
Stats d'équipe Total ou en Moyenne8041641057661090632288714517.98%46159219.901625412916100061383276.16%3443389041.3200011465
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
A.J. GreerMonsters (CLB)LW201996-12-14No210 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Ben HarpurMonsters (CLB)D221995-01-12No222 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Brendan GuhleMonsters (CLB)D201997-07-29No196 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Denis GurianovMonsters (CLB)RW201997-06-07No195 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm894,166$0$0$NoLien
Jakub ZborilMonsters (CLB)D201997-02-21No200 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm863,333$0$0$NoLien
Joel Eriksson EkMonsters (CLB)C201997-01-29No208 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm1,487,500$0$0$NoLien
Joseph BlandisiMonsters (CLB)C231994-07-18No187 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Julien GauthierMonsters (CLB)RW191997-10-15No227 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm863,333$0$0$NoLien
Karl AlznerMonsters (CLB)D291988-09-24No219 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,250,000$0$0$NoLien
Nicholas BaptisteMonsters (CLB)RW221995-08-04No205 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Riley SheahanMonsters (CLB)C251991-12-07No214 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm900,000$0$0$NoLien
Scott LaughtonMonsters (CLB)C231994-05-30No190 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm2,300,000$0$0$NoLien
Sven AndrighettoMonsters (CLB)RW241993-03-21No188 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Timothy LiljegrenMonsters (CLB)D181999-04-30No192 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm863,333$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1421.79204 Lbs6 ft21.50994,405$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1A.J. GreerScott LaughtonDenis Gurianov40122
2Nicholas BaptisteRiley SheahanSven Andrighetto30122
3Joseph BlandisiJulien Gauthier20122
4Riley SheahanScott LaughtonNicholas Baptiste10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurKarl Alzner40122
2Timothy LiljegrenBrendan Guhle30122
3Jakub Zboril20122
4Ben HarpurKarl Alzner10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1A.J. GreerScott LaughtonDenis Gurianov60122
2Nicholas BaptisteRiley SheahanSven Andrighetto40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurKarl Alzner60122
2Timothy LiljegrenBrendan Guhle40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Scott LaughtonRiley Sheahan60122
2Denis GurianovJoseph Blandisi40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurKarl Alzner60122
2Timothy LiljegrenBrendan Guhle40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Scott Laughton60122Ben HarpurKarl Alzner60122
2Riley Sheahan40122Timothy LiljegrenBrendan Guhle40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Scott LaughtonRiley Sheahan60122
2Denis GurianovJoseph Blandisi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurKarl Alzner60122
2Timothy LiljegrenBrendan Guhle40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
A.J. GreerScott LaughtonDenis GurianovBen HarpurKarl Alzner
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
A.J. GreerScott LaughtonDenis GurianovBen HarpurKarl Alzner
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Julien Gauthier, Sven Andrighetto, A.J. GreerJulien Gauthier, Sven AndrighettoA.J. Greer
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jakub Zboril, Timothy Liljegren, Brendan GuhleJakub ZborilTimothy Liljegren, Brendan Guhle
Tirs de Pénalité
Scott Laughton, Riley Sheahan, Denis Gurianov, Joseph Blandisi, Sven Andrighetto
Gardien
#1 : , #2 :


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
LigueDomicileVisiteur
# 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
1Bears22000000205151100000093611000000112941.000202949008122208068729304513435141071.43%20100.00%09412376.42%598371.08%11114676.03%136751164210666
2Penguins1010000057-21010000057-20000000000000.00056110081222043687293031612143133.33%6183.33%09412376.42%598371.08%11114676.03%136751164210666
3Phantoms1010000069-31010000069-30000000000000.0006101600812220376872930441130116233.33%5420.00%09412376.42%598371.08%11114676.03%136751164210666
4Sound Tigers211000001116-51100000076110100000410-620.50011193000812220736872930532022338337.50%11736.36%09412376.42%598371.08%11114676.03%136751164210666
Total63300000423754220000027252211000001512360.5004264106008122202336872930173506893311651.61%241250.00%09412376.42%598371.08%11114676.03%136751164210666
_Since Last GM Reset63300000423754220000027252211000001512360.5004264106008122202336872930173506893311651.61%241250.00%09412376.42%598371.08%11114676.03%136751164210666
_Vs Conference63300000423754220000027252211000001512360.5004264106008122202336872930173506893311651.61%241250.00%09412376.42%598371.08%11114676.03%136751164210666
_Vs Division63300000423754220000027252211000001512360.5004264106008122202336872930173506893311651.61%241250.00%09412376.42%598371.08%11114676.03%136751164210666

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
66W2426410623317350689300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
63300004237
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200002725
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
21100001512
Derniers 10 Matchs
WLOTWOTL SOWSOL
330000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
311651.61%241250.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
6872930812220
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
9412376.42%598371.08%11114676.03%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
136751164210666


Derniers Match 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 - 2019-10-042Sound Tigers6Monsters7WSommaire du Match
3 - 2019-10-0615Monsters4Sound Tigers10LSommaire du Match
6 - 2019-10-0933Penguins7Monsters5LSommaire du Match
10 - 2019-10-1349Phantoms9Monsters6LSommaire du Match
12 - 2019-10-1557Monsters11Bears2WSommaire du Match
15 - 2019-10-1878Bears3Monsters9WSommaire du Match
16 - 2019-10-1986Monsters-Phantoms-
18 - 2019-10-21100Monsters-Penguins-
19 - 2019-10-22106Monsters-Marlies-
21 - 2019-10-24116Devils-Monsters-
24 - 2019-10-27133Senateurs-Monsters-
26 - 2019-10-29149Bears-Monsters-
28 - 2019-10-31155Monsters-Devils-
31 - 2019-11-03172Phantoms-Monsters-
33 - 2019-11-05182Monsters-Thunderbird-
36 - 2019-11-08198Rampages-Monsters-
38 - 2019-11-10207Monsters-Bruins-
41 - 2019-11-13221Phantoms-Monsters-
43 - 2019-11-15233Monsters-Sound Tigers-
45 - 2019-11-17242Monsters-Crunch-
46 - 2019-11-18250Heat-Monsters-
49 - 2019-11-21264Monsters-Wolves-
51 - 2019-11-23273Rocket-Monsters-
53 - 2019-11-25285Monsters-Heat-
55 - 2019-11-27297Sound Tigers-Monsters-
57 - 2019-11-29305Monsters-Thunderbird-
59 - 2019-12-01317Monsters-Rampages-
61 - 2019-12-03325Condors-Monsters-
63 - 2019-12-05338Monsters-Moose-
65 - 2019-12-07350Monsters-Bears-
66 - 2019-12-08355Icedogs-Monsters-
69 - 2019-12-11374Penguins-Monsters-
71 - 2019-12-13385Monsters-Stars-
73 - 2019-12-15391Monsters-Reigh-
75 - 2019-12-17402Wolves-Monsters-
78 - 2019-12-20418Sound Tigers-Monsters-
80 - 2019-12-22430Monsters-Phantoms-
82 - 2019-12-24441Monsters-Senateurs-
83 - 2019-12-25447Monsters-Devils-
84 - 2019-12-26455Marlies-Monsters-
87 - 2019-12-29474Thunderbird-Monsters-
90 - 2020-01-01489Monsters-Senateurs-
93 - 2020-01-04499Thunderbird-Monsters-
95 - 2020-01-06511Monsters-Admirals-
97 - 2020-01-08521Blacknight-Monsters-
100 - 2020-01-11537Monsters-Barracuda-
102 - 2020-01-13545Barracuda-Monsters-
104 - 2020-01-15553Monsters-Marlies-
105 - 2020-01-16562Monsters-Condors-
107 - 2020-01-18574Stars-Monsters-
110 - 2020-01-21589Monsters-Bruins-
112 - 2020-01-23598Admirals-Monsters-
113 - 2020-01-24603Monsters-Marlies-
116 - 2020-01-27614Monsters-Devils-
118 - 2020-01-29622Monsters-Icedogs-
119 - 2020-01-30627Senateurs-Monsters-
121 - 2020-02-01646Monsters-Sound Tigers-
122 - 2020-02-02649Bears-Monsters-
125 - 2020-02-05670Penguins-Monsters-
127 - 2020-02-07683Monsters-Penguins-
130 - 2020-02-10696Stars-Monsters-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
133 - 2020-02-13712Monsters-Phantoms-
135 - 2020-02-15720Rocket-Monsters-
137 - 2020-02-17730Monsters-Penguins-
139 - 2020-02-19744Marlies-Monsters-
143 - 2020-02-23758Monsters-Crunch-
144 - 2020-02-24767Moose-Monsters-
147 - 2020-02-27778Monsters-Blacknight-
148 - 2020-02-28789Devils-Monsters-
152 - 2020-03-03807Monsters-Barracuda-
154 - 2020-03-05816Devils-Monsters-
158 - 2020-03-09835Monsters-Gulls-
159 - 2020-03-10840Wolves-Monsters-
164 - 2020-03-15859Reigh-Monsters-
168 - 2020-03-19880Gulls-Monsters-
169 - 2020-03-20890Monsters-Bears-
172 - 2020-03-23906Crunch-Monsters-
174 - 2020-03-25913Monsters-Rocket-
177 - 2020-03-28932Crunch-Monsters-
178 - 2020-03-29937Monsters-Rocket-
183 - 2020-04-03958Bruins-Monsters-
189 - 2020-04-09978Bruins-Monsters-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
165,931$ 1,392,166$ 1,392,166$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 103,103$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 176 11,477$ 2,019,952$




LigueDomicileVisiteur
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
363300000423754220000027252211000001512364264106008122202336872930173506893311651.61%241250.00%09412376.42%598371.08%11114676.03%136751164210666
Total Saison Régulière63300000423754220000027252211000001512364264106008122202336872930173506893311651.61%241250.00%09412376.42%598371.08%11114676.03%136751164210666