Connexion

Monsters
GP: 17 | W: 8 | L: 7 | OTL: 2 | P: 18
GF: 49 | GA: 42 | PP%: 15.00% | PK%: 87.64%
DG: Yvon Poulin | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #194 vs Rocket
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Centre de jeu
Marlies
6-10-1, 13pts
3
FINAL
1 Monsters
8-7-2, 18pts
Team Stats
W2SéquenceL3
4-5-0Fiche domicile3-4-2
2-5-1Fiche domicile5-3-0
4-5-1Derniers 10 matchs5-4-1
1.82Buts par match 2.88
2.94Buts contre par match 2.47
9.41%Pourcentage en avantage numérique15.00%
88.54%Pourcentage en désavantage numérique87.64%
Rocket
6-7-4, 16pts
2
FINAL
1 Monsters
8-7-2, 18pts
Team Stats
W3SéquenceL3
3-3-2Fiche domicile3-4-2
3-4-2Fiche domicile5-3-0
4-4-2Derniers 10 matchs5-4-1
1.65Buts par match 2.88
2.00Buts contre par match 2.47
6.96%Pourcentage en avantage numérique15.00%
90.22%Pourcentage en désavantage numérique87.64%
Monsters
8-7-2, 18pts
Jour 34
Rocket
6-7-4, 16pts
Statistiques d’équipe
L3SéquenceW3
3-4-2Fiche domicile3-3-2
5-3-0Fiche visiteur3-4-2
5-4-110 derniers matchs4-4-2
2.88Buts par match 1.65
2.47Buts contre par match 1.65
15.00%Pourcentage en avantage numérique6.96%
87.64%Pourcentage en désavantage numérique90.22%
Phantoms
11-6-0, 22pts
Jour 36
Monsters
8-7-2, 18pts
Statistiques d’équipe
W3SéquenceL3
5-4-0Fiche domicile3-4-2
6-2-0Fiche visiteur5-3-0
7-3-010 derniers matchs5-4-1
2.82Buts par match 2.88
2.41Buts contre par match 2.88
14.95%Pourcentage en avantage numérique15.00%
87.85%Pourcentage en désavantage numérique87.64%
Monsters
8-7-2, 18pts
Jour 37
Moose
8-6-3, 19pts
Statistiques d’équipe
L3SéquenceL1
3-4-2Fiche domicile4-4-1
5-3-0Fiche visiteur4-2-2
5-4-110 derniers matchs3-4-3
2.88Buts par match 2.59
2.47Buts contre par match 2.59
15.00%Pourcentage en avantage numérique15.15%
87.64%Pourcentage en désavantage numérique88.18%
Meneurs d'équipe
Buts
Mikhail Maltsev
8
Passes
Mikhail Maltsev
10
Points
Mikhail Maltsev
18
Plus/Moins
Craig Smith
7
Victoires
Isaiah Saville
6
Pourcentage d’arrêts
Isaiah Saville
0.872

Statistiques d’équipe
Buts pour
49
2.88 GFG
Tirs pour
318
18.71 Avg
Pourcentage en avantage numérique
15.0%
15 GF
Début de zone offensive
37.7%
Buts contre
42
2.47 GAA
Tirs contre
287
16.88 Avg
Pourcentage en désavantage numérique
87.6%%
11 GA
Début de la zone défensive
39.8%
Informations de l'équipe

Directeur généralYvon Poulin
EntraîneurRick Tocchet
DivisionDivision 2
ConférenceConference 1
CapitaineCraig Smith
Assistant #1Nicolas Roy
Assistant #2Rasmus Asplund


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 60
Espoirs17


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
1Jack Drury (R)0X100.00614088716357906864635762254747635000232925,000$
2Jesse Ylonen (R)0XX100.00634199666965886844727065754747715000231925,000$
3Craig Smith (C)0XX100.007143907975588663316066645481846750003313,100,000$
4Adam Raska (R)0XX100.00576343676367724950464652444444515000212900,000$
5Nicolas Roy (A)0XX100.00784488797774897582707381616466765000262750,000$
6Georgii Merkulov (R)0XX100.0073668963667071658062656462444466500N02231,202,513$
7Lucas Edmonds (R)0XX100.00746594646572765950526263594444635000223950,000$
8Rasmus Asplund (A)0XX100.00654296776958805941615672256161635000251825,000$
9Charles Hudon (R)0XXX100.00726882636880846680606864654444685000291750,000$
10Sonny Milano0XX100.006742908370648565257770602563637150002721,700,000$
11Mikhail Maltsev0XX100.00797492747468706480586568625050675000251925,000$
12Connor Dewar0XX100.00805682656258856065625879255859655000244800,000$
13Cale Fleury0X100.00884694747562595825474771255151605000242750,000$
14Robin Salo (R)0X100.00654188686757715925536067254545645000242937,750$
15David Jiricek (R)0X100.007471816471626457255545624344445750001931,950,000$
16Gabriel Carlsson0X100.00777580787564694925413965375858545000264750,000$
17Riley Stillman0X100.008193807675656860255147742560606150002541,350,000$
18Casey Fitzgerald0X100.00784394726759635325494775255151605000264750,000$
Rayé
1Jan Jenik0X100.00626556746564656379635958564545615000221902,500$
2Cole Reinhardt (R)0X100.00717463637479846050595662534444615000232813,333$
3Ryan Jones0XX100.00777875637859624950474662444444545000271750,000$
4Tyler Benson0XX100.00757380677361635850605064484747595000251750,000$
5Ryker Evans (R)0X100.00696772636777835525534259404444555000213925,000$
6Donovan Sebrango (R)0X100.00746985636964694625344360414444525000211925,000$
7Albert Johansson (R)0X100.00676279646265704825394257404444525000223919,167$
8Kaedan Korczak (R)0X100.00717367737366714825394159394545535000221905,000$
9John Ludvig (R)0X100.00717464657450515025444159394444515000233925,000$
10Drew Helleson (R)0X100.00777778697758614825404162394444535000222750,000$
11Ville Heinola0X100.006764738064687257255642604047475750002231,075,833$
MOYENNE D’ÉQUIPE100.0072628170706573584354536443505061500
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
1Isaiah Saville (R)0100.0052526574525250565151304444525000222862,417$
2Eetu Makiniemi (R)0100.00494455685053505454533044445150002421,000,000$
Rayé
1Jakub Skarek (R)0100.0049516478485150545151304444515000233913,333$
2Mackenzie Blackwood090.0061545590655671626561756060625000261913,333$
MOYENNE D’ÉQUIPE97.255350607854535557555441484854500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet83917886848062CAN6021,500,000$


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
1Mikhail MaltsevMonsters (CLB)C/LW178101866019303582622.86%224914.70134745000000056.41%19500001.4400000222
2Charles HudonMonsters (CLB)C/LW/RW17581341208142631519.23%122413.21000100000222064.52%3100001.1611000102
3Nicolas RoyMonsters (CLB)C/RW176511280235340223715.00%637522.071237800002792059.03%43200000.5911000120
4Jesse YlonenMonsters (CLB)LW/RW1546103202162462016.67%326317.5723510621012450158.82%1700000.7601000101
5Georgii MerkulovMonsters (CLB)C/RW175510-28026113052016.67%127115.954371280000030044.44%900000.7401000000
6Rasmus AsplundMonsters (CLB)C/LW174610-2603212282318.18%125615.08246854000150040.00%23500000.7801000101
7Sonny MilanoMonsters (CLB)LW/RW172810420816216159.52%135020.591236800000780031.58%1900000.5701000001
8Connor DewarMonsters (CLB)C/LW174610228016251661325.00%221712.8100009000070157.89%3800000.9200000010
9Riley StillmanMonsters (CLB)D17279220036191021120.00%1437422.00134777000062000%000000.4800000100
10Casey FitzgeraldMonsters (CLB)D17189-1100111511169.09%1133119.49156965000055100%000000.5400000020
11Craig SmithMonsters (CLB)C/RW1734778021151891816.67%231118.300114780110431040.43%4700000.4511000100
12Gabriel CarlssonMonsters (CLB)D13145014033641225.00%822717.50101321000012010%000000.4400000000
13Ville HeinolaMonsters (CLB)D4044360420000%66616.580110400005000%000001.2100000000
14Cale FleuryMonsters (CLB)D17123-11601914182105.56%735120.661231370000058100%000000.1700000001
15Robin SaloMonsters (CLB)D17112-1801219102510.00%537121.87000572000064000%000000.1100000000
16Tyler BensonMonsters (CLB)LW/RW12202-1407870628.57%2917.610000100000100%000000.4400000000
17Jan JenikMonsters (CLB)C4011000321000%0174.4601112000040040.00%500001.1200000001
18Jack DruryMonsters (CLB)C17011-20021616460%11438.45000030000160042.00%10000000.1400000000
19David JiricekMonsters (CLB)D17011422020111010%1229817.53000118000035000%000000.0700000000
20Lucas EdmondsMonsters (CLB)LW/RW17011-860668280%01458.5300006000060050.00%400000.1400000000
21Adam RaskaMonsters (CLB)LW/RW3000020300000%0217.2900000000010066.67%30000000000000
Statistiques d’équipe totales ou en moyenne30649881371918802823193188724215.41%85495916.211530459483711256108351.81%113500000.5537000879
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
1Isaiah SavilleMonsters (CLB)146520.8722.1976802282180000.4297131110
2Mackenzie BlackwoodMonsters (CLB)41000.8571.50120003210000040000
3Eetu MakiniemiMonsters (CLB)31200.7924.2914000104800000013000
Statistiques d’équipe totales ou en moyenne218720.8572.391029024128700071714110


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 restantSalaire moyenSalaire 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
Adam RaskaMonsters (CLB)LW/RW212001-09-25Yes178 Lbs5 ft10NoNoNoNo2Pro & Farm900,000$708,387$900,000$708,387$0$0$No900,000$Lien
Albert JohanssonMonsters (CLB)D222001-04-01Yes168 Lbs6 ft0NoNoNoNo3Pro & Farm919,167$723,473$919,167$723,473$0$0$No919,167$919,167$
Cale FleuryMonsters (CLB)D241998-11-18No205 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Casey FitzgeraldMonsters (CLB)D261997-02-24No185 Lbs5 ft11NoNoNoNo4Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$750,000$750,000$Lien
Charles HudonMonsters (CLB)C/LW/RW291994-06-23Yes190 Lbs5 ft10NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Cole ReinhardtMonsters (CLB)LW232000-02-01Yes203 Lbs6 ft1NoNoNoNo2Pro & Farm813,333$640,172$813,333$640,172$0$0$No813,333$Lien
Connor DewarMonsters (CLB)C/LW241999-06-26No170 Lbs5 ft10NoNoNoNo4Pro & Farm800,000$629,677$800,000$629,677$0$0$No800,000$800,000$800,000$Lien
Craig SmithMonsters (CLB)C/RW331989-09-05No208 Lbs6 ft1NoNoNoNo1Pro & Farm3,100,000$2,440,000$3,100,000$2,440,000$0$0$NoLien
David JiricekMonsters (CLB)D192003-11-28Yes189 Lbs6 ft3NoNoNoNo3Pro & Farm1,950,000$1,534,839$1,950,000$1,534,839$0$0$No1,950,000$1,950,000$
Donovan SebrangoMonsters (CLB)D212002-01-12Yes189 Lbs6 ft1NoNoNoNo1Pro & Farm925,000$728,065$925,000$728,065$0$0$NoLien
Drew HellesonMonsters (CLB)D222001-03-26Yes205 Lbs6 ft3NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Eetu MakiniemiMonsters (CLB)G241999-04-19Yes176 Lbs6 ft2NoNoNoNo2Pro & Farm1,000,000$787,097$1,000,000$787,097$0$0$No1,000,000$Lien
Gabriel CarlssonMonsters (CLB)D261997-01-02No192 Lbs6 ft5NoNoNoNo4Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$750,000$750,000$Lien
Georgii MerkulovMonsters (CLB)C/RW222000-10-10Yes181 Lbs5 ft11YesNoNoNo3Pro & Farm1,202,513$946,494$1,202,513$946,494$0$0$No1,202,513$1,202,513$Lien
Isaiah SavilleMonsters (CLB)G222000-09-21Yes195 Lbs6 ft1NoNoNoNo2Pro & Farm862,417$678,806$862,417$678,806$0$0$No862,417$Lien
Jack DruryMonsters (CLB)C232000-02-03Yes174 Lbs5 ft11NoNoNoNo2Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$Lien
Jakub SkarekMonsters (CLB)G231999-11-10Yes192 Lbs6 ft3NoNoNoNo3Pro & Farm913,333$718,881$913,333$718,881$0$0$No913,333$913,333$Lien
Jan JenikMonsters (CLB)C222000-09-15No171 Lbs6 ft1NoNoNoNo1Pro & Farm902,500$710,355$795,000$625,742$0$0$NoLien
Jesse YlonenMonsters (CLB)LW/RW231999-10-03Yes188 Lbs6 ft1NoNoNoNo1Pro & Farm925,000$728,065$880,833$693,301$0$0$NoLien
John LudvigMonsters (CLB)D232000-02-08Yes201 Lbs6 ft1NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Kaedan KorczakMonsters (CLB)D222001-01-29Yes192 Lbs6 ft3NoNoNoNo1Pro & Farm905,000$712,323$795,000$625,742$0$0$NoLien
Lucas EdmondsMonsters (CLB)LW/RW222001-01-27Yes181 Lbs5 ft10NoNoNoNo3Pro & Farm950,000$747,742$950,000$747,742$0$0$No950,000$950,000$
Mackenzie Blackwood (sur la masse salariale)Monsters (CLB)G261996-09-12No225 Lbs6 ft4NoNoNoNo1Pro & Farm913,333$718,881$913,333$718,881$0$0$YesLien
Mikhail MaltsevMonsters (CLB)C/LW251998-03-12No198 Lbs6 ft3NoNoNoNo1Pro & Farm925,000$728,065$925,000$728,065$0$0$NoLien
Nicolas RoyMonsters (CLB)C/RW261997-02-05No200 Lbs6 ft4NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Rasmus AsplundMonsters (CLB)C/LW251997-12-03No190 Lbs5 ft11NoNoNoNo1Pro & Farm825,000$649,355$825,000$649,355$0$0$NoLien
Riley StillmanMonsters (CLB)D251998-03-09No196 Lbs6 ft1NoNoNoNo4Pro & Farm1,350,000$1,062,581$1,350,000$1,062,581$0$0$No1,350,000$1,350,000$1,350,000$Lien
Robin SaloMonsters (CLB)D241998-10-13Yes181 Lbs6 ft0NoNoNoNo2Pro & Farm937,750$738,100$937,750$738,100$0$0$No937,750$Lien
Ryan JonesMonsters (CLB)LW/RW271996-05-26No214 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Ryker EvansMonsters (CLB)D212001-12-13Yes189 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Sonny MilanoMonsters (CLB)LW/RW271996-05-12No194 Lbs6 ft0NoNoNoNo2Pro & Farm1,700,000$1,338,065$1,700,000$1,338,065$0$0$No1,700,000$Lien
Tyler BensonMonsters (CLB)LW/RW251998-03-15No201 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Ville HeinolaMonsters (CLB)D222001-03-02No178 Lbs5 ft11NoNoNoNo3Pro & Farm1,075,833$846,785$1,075,833$846,785$0$0$No1,075,833$1,075,833$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3323.91191 Lbs6 ft12.151,017,278$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoNicolas RoyCraig Smith35122
2Jesse YlonenMikhail MaltsevGeorgii Merkulov30122
3Connor DewarRasmus AsplundCharles Hudon25122
4Lucas EdmondsJack DruryAdam Raska10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Riley StillmanRobin Salo35122
2Cale FleuryCasey Fitzgerald30122
3David JiricekGabriel Carlsson25122
4Riley StillmanRobin Salo10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoNicolas RoyCraig Smith60122
2Jesse YlonenMikhail MaltsevGeorgii Merkulov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Riley StillmanRobin Salo60122
2Cale FleuryCasey Fitzgerald40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas RoySonny Milano60122
2Craig SmithJesse Ylonen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Riley StillmanRobin Salo60122
2Cale FleuryCasey Fitzgerald40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nicolas Roy60122Riley StillmanRobin Salo60122
2Sonny Milano40122Cale FleuryCasey Fitzgerald40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas RoySonny Milano60122
2Craig SmithJesse Ylonen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Riley StillmanRobin Salo60122
2Cale FleuryCasey Fitzgerald40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoNicolas RoyCraig SmithRiley StillmanRobin Salo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoNicolas RoyCraig SmithRiley StillmanRobin Salo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rasmus Asplund, Connor Dewar, Jack DruryRasmus Asplund, Connor DewarJack Drury
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Jiricek, Gabriel Carlsson, Cale FleuryDavid JiricekGabriel Carlsson, Cale Fleury
Tirs de pénalité
Nicolas Roy, Sonny Milano, Craig Smith, Jesse Ylonen, Mikhail Maltsev
Gardien
#1 : Isaiah Saville, #2 : Eetu Makiniemi
Lignes d’attaque personnalisées en prolongation
Nicolas Roy, Sonny Milano, Craig Smith, Jesse Ylonen, Mikhail Maltsev, Rasmus Asplund, Rasmus Asplund, Connor Dewar, Georgii Merkulov, Jack Drury, Charles Hudon
Lignes de défense personnalisées en prolongation
Riley Stillman, Robin Salo, Cale Fleury, Casey Fitzgerald, David Jiricek


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
1Crunch1010000023-1000000000001010000023-100.0002350018191141411110797101871818500.00%9188.89%022842653.52%24245053.78%11825546.27%403276410138216107
2Griffins3300000011380000000000033000000113861.0001118290118191147311110797104914223818316.67%110100.00%022842653.52%24245053.78%11825546.27%403276410138216107
3Marlies1010000013-21010000013-20000000000000.00012300181911423111107971091611600.00%30100.00%022842653.52%24245053.78%11825546.27%403276410138216107
4Penguins2020000047-31010000034-11010000013-200.000471100181911429111107971036928411516.67%14657.14%022842653.52%24245053.78%11825546.27%403276410138216107
5Phantoms210001005501000010012-11100000043130.7505914001819114401111079710301020381500.00%10280.00%022842653.52%24245053.78%11825546.27%403276410138216107
6Rocket1010000012-11010000012-10000000000000.000112001819114171111079710171824400.00%40100.00%122842653.52%24245053.78%11825546.27%403276410138216107
7Sound Tigers320010001477210010009541100000052361.0001426400018191145411110797104220324218422.22%13192.31%022842653.52%24245053.78%11825546.27%403276410138216107
8Wolf Pack31200000880211000005321010000035-220.333816240118191144911110797106618445715640.00%21195.24%022842653.52%24245053.78%11825546.27%403276410138216107
9Wolves1000000134-11000000134-10000000000010.50036900181911419111107971020510134125.00%40100.00%022842653.52%24245053.78%11825546.27%403276410138216107
Total1777011014942792401101232308530000026197180.52949881370218191143181111079710287851882821001515.00%891187.64%122842653.52%24245053.78%11825546.27%403276410138216107
_Since Last GM Reset1777011014942792401101232308530000026197180.52949881370218191143181111079710287851882821001515.00%891187.64%122842653.52%24245053.78%11825546.27%403276410138216107
_Vs Conference1027001002128-7614001001114-3413000001014-450.25021385901181911417211110797101764612418960711.67%611083.61%122842653.52%24245053.78%11825546.27%403276410138216107
_Vs Division102400100312746120010018144412000001313050.250315889011819114172111107971017457124178631117.46%581082.76%022842653.52%24245053.78%11825546.27%403276410138216107

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1718L349881373182878518828202
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
177711014942
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
92411012323
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
85300002619
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1001515.00%891187.64%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
11110797101819114
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
22842653.52%24245053.78%11825546.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
403276410138216107


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
11Monsters3Griffins1AWSommaire du match
518Sound Tigers1Monsters4BWSommaire du match
829Wolf Pack3Monsters2BLSommaire du match
945Monsters2Crunch3ALSommaire du match
1051Monsters5Sound Tigers2AWSommaire du match
1261Phantoms2Monsters1BLXSommaire du match
1474Penguins4Monsters3BLSommaire du match
1684Monsters3Griffins0AWSommaire du match
1896Monsters3Wolf Pack5ALSommaire du match
19105Sound Tigers4Monsters5BWXSommaire du match
21119Monsters5Griffins2AWSommaire du match
22128Wolves4Monsters3BLXXSommaire du match
24135Monsters4Phantoms3AWSommaire du match
26148Wolf Pack0Monsters3BWSommaire du match
28158Monsters1Penguins3ALSommaire du match
30171Marlies3Monsters1BLSommaire du match
32183Rocket2Monsters1BLSommaire du match
34194Monsters-Rocket-
36206Phantoms-Monsters-
37215Monsters-Moose-
40226Penguins-Monsters-
41238Monsters-Condors-
43249Bruins-Monsters-
44258Monsters-Barracuda-
46271Monsters-Penguins-
47279IceHogs-Monsters-
50291Moose-Monsters-
52305Monsters-Crunch-
53314Griffins-Monsters-
54322Monsters-Sound Tigers-
56335Crunch-Monsters-
60350Monsters-Stars-
62361Phantoms-Monsters-
65374Monsters-Penguins-
66384Bruins-Monsters-
68397Monsters-Marlies-
70405Sound Tigers-Monsters-
72421Wolf Pack-Monsters-
74434Monsters-Monarchs-
75441IceHogs-Monsters-
77452Monsters-Eagles-
78462Monsters-67s-
80471Wolves-Monsters-
82485Monsters-Sound Tigers-
8449267s-Monsters-
86507Monsters-Rocket-
88515Penguins-Monsters-
91530Monsters-67s-
92537Eagles-Monsters-
94551Monsters-IceHogs-
95559Monarchs-Monsters-
98577Marlies-Monsters-
101596Griffins-Monsters-
102603Monsters-Marlies-
104617Monsters-Gulls-
105622Stars-Monsters-
108640Rocket-Monsters-
110647Monsters-Wolf Pack-
112660Monsters-Heat-
113667Barracuda-Monsters-
115681Monsters-Heat-
11769067s-Monsters-
119706Moose-Monsters-
120712Monsters-Wolf Pack-
122728Marlies-Monsters-
123731Monsters-Thunderbird-
125745Monsters-Wolves-
126754Crunch-Monsters-
128767Monsters-Bruins-
131776Heat-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
133794Condors-Monsters-
134800Monsters-Griffins-
136816Thunderbird-Monsters-
138824Monsters-IceHogs-
140830Monsters-Griffins-
142835Monsters-Wolves-
144846Crunch-Monsters-
146860Monsters-Phantoms-
147871Gulls-Monsters-
149879Monsters-Bruins-
152889Gulls-Monsters-
153896Monsters-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3520
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,022,421$ 3,265,684$ 3,239,517$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 703,064$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 122 30,746$ 3,751,012$




Monsters 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

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 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

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