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Connexion

Monsters
GP: 10 | W: 4 | L: 6
GF: 41 | GA: 35 | PP%: 21.05% | PK%: 90.00%
DG: Benoit Toupin | Morale : 50 | Moyenne d’équipe : 60

Centre de jeu
Monsters
4-6-0, 8pts
3
FINAL
4 Manchots
11-7-0, 22pts
Team Stats
L3SéquenceOTL1
2-3-0Fiche domicile8-1-0
2-3-0Fiche domicile3-6-0
4-5-1Derniers 10 matchs6-3-1
4.10Buts par match 4.33
3.50Buts contre par match 3.61
21.05%Pourcentage en avantage numérique24.00%
90.00%Pourcentage en désavantage numérique78.57%
Monsters
4-6-0, 8pts
1
FINAL
2 Manchots
11-7-0, 22pts
Team Stats
L3SéquenceOTL1
2-3-0Fiche domicile8-1-0
2-3-0Fiche domicile3-6-0
4-5-1Derniers 10 matchs6-3-1
4.10Buts par match 4.33
3.50Buts contre par match 3.61
21.05%Pourcentage en avantage numérique24.00%
90.00%Pourcentage en désavantage numérique78.57%
Meneurs d'équipe
Buts
Laurent Dauphin
8
Passes
Laurent Dauphin
12
Points
Laurent Dauphin
20
Plus/Moins
Adam Ginning
5
Victoires
Brian Elliott
4
Pourcentage d’arrêts
Brian Elliott
0.881

Statistiques d’équipe
Buts pour
41
4.10 GFG
Tirs pour
287
28.70 Avg
Pourcentage en avantage numérique
21.1%
8 GF
Début de zone offensive
38.9%
Buts contre
35
3.50 GAA
Tirs contre
294
29.40 Avg
Pourcentage en désavantage numérique
90.0%%
1 GA
Début de la zone défensive
33.9%
Informations de l'équipe

Directeur généralBenoit Toupin
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 50
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
1Laurent DauphinX100.00624374727575726475575766657969050650282888,888$
2Benoit-Olivier Groulx (R)X100.00694674707574706665616062655650050630231822,500$
3Matej Blumel (R)X100.00624269706466656745646362675250050630232925,000$
4Ivan Miroshnichenko (R)X100.00704075707475636640636262665150050630193950,000$
5Luke PhilpX100.00574370686066645942565660615750050590271900,000$
6William Stromgren (R)X100.00624169636462616142625659605050050590203900,833$
7Brandon Coe (R)X100.00594268636563626042535552595050050570211650,000$
8Jared Davidson (R)XXX100.00614265636260586041555857605050050570213862,500$
9Cole Fonstad (R)X100.00524070665858595841555452605150050560232700,000$
10Matt Rempe (R)XX100.00666055597162615841525455575050050560212820,000$
11Matteo Costantini (R)X100.00555555555555555555555555555555050550213620,000$
12Dominik Bokk (R)XX100.00676987656944454548424060414444050520231863,333$
13Chase PriskieX100.00584468716169676540616067655750050630273700,000$
14Connor MackeyX100.00646057696973676340585768635651050630271925,000$
15Matt KierstedX100.00594567726671666440595767655651050630251930,000$
16Vincent Iorio (R)X100.00694270676760606240585569615050050620202845,000$
17Adam Ginning (R)X100.00644859666764636240595464615250050610231825,000$
18Wyatte Wylie (R)X100.00604372686364636040555365615250050600231820,833$
Rayé
1Chad Yetman (R)X100.00554067626154535139504953555150050530231560,000$
2Drew Helleson (R)X100.00614664656863626240585559615150050600222925,000$
3Frederic Brunet (R)X100.00644168636459576040575665595050050600203860,000$
4Lukas Cormier (R)X100.00544267666263626440615756635050050590212793,333$
5Daniil Chayka (R)X100.00564171616660606040535352585050050560202847,500$
MOYENNE D’ÉQUIPE100.0061466866656362614457556060535105059
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
1Brian Elliott100.0059727076687071717166689181050650381900,000$
2Arturs Silovs (R)100.0070636671707172697269585150050630222870,000$
Rayé
1Jakub Skarek (R)100.0070646867686870666869585250050620231764,167$
2Yaniv Perets (R)100.0072636271676664636667635150050600233805,000$
3Ken Appleby100.0068636169656363616265625952050590281750,000$
MOYENNE D’ÉQUIPE100.006865657168686866686762615705062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Laurent DauphinMonsters (Clb)C1081220355152038202221.05%522522.57156832000072162.66%30894011.7700001300
2Matej BlumelMonsters (Clb)LW106915300121250124012.00%322622.64123731000170062.50%1693001.3200000010
3Chase PriskieMonsters (Clb)D10099-755121715580%1426526.540222310000800100.00%169000.6800001000
4Benoit-Olivier GroulxMonsters (Clb)C10448-52023202781914.81%518018.06112224000151052.21%11353000.8900000100
5Luke PhilpMonsters (Clb)C10628-200762251527.27%113013.0400001000011035.38%6540001.2300000001
6Jared DavidsonMonsters (Clb)C/LW/RW104482401492041520.00%821321.34202331000000026.67%1535000.7500000002
7Connor MackeyMonsters (Clb)D10347-5121020171611818.75%1426426.4422443000006000%197000.5300101001
8William StromgrenMonsters (Clb)LW10156-2209916876.25%013913.9700001000030016.67%631000.8600000000
9Ivan MiroshnichenkoMonsters (Clb)LW10145-50014113011183.33%418318.32011324000040060.00%1070000.5500000010
10Brandon CoeMonsters (Clb)RW10224-55561273928.57%317117.14112124000000040.00%522000.4700010000
11Cole FonstadMonsters (Clb)LW60443004310470%1599.960000000002000%051001.3400000001
12Adam GinningMonsters (Clb)D100335201488330%514014.070000100013000%015000.4300000000
13Matt RempeMonsters (Clb)C/RW10033-10017105220%212612.62000000000000100.00%221000.4800000000
14Matteo CostantiniMonsters (Clb)C62133558061233.33%3549.0900000000000038.10%2130001.1000010010
15Dominik BokkMonsters (Clb)LW/RW62023557341050.00%0559.290000100000000%002000.7200100000
16Matt KierstedMonsters (Clb)D1011212952876414.29%419319.3400012500006000%065000.2100010000
17Drew HellesonMonsters (Clb)D4011200310200%15513.930000000000000%003000.3600000000
18Vincent IorioMonsters (Clb)D10101134101411411125.00%919819.8700002500005000%045000.1000101000
19Wyatte WylieMonsters (Clb)D10000155632320%3909.040000200001000%01300000010000
20Lukas CormierMonsters (Clb)D4000000000000%051.480000000000000%00000000000000
21Frederic BrunetMonsters (Clb)D4000000000000%020.520000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1804168109-51155520718028712018214.29%85298316.5881422312920003654154.88%5637959010.7300344435
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
1Brian ElliottMonsters (Clb)104510.8813.5159900352941480000100010
Statistiques d’équipe totales ou en moyenne104510.8813.515990035294148000100010


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam GinningMonsters (Clb)D232000-01-13SWEYes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Arturs SilovsMonsters (Clb)G222001-03-22LATYes217 Lbs6 ft4NoNoTrade2025-02-24NoNo2FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Lien
Benoit-Olivier GroulxMonsters (Clb)C232000-02-06FRAYes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm822,500$0$0$No---------------------------Lien
Brandon CoeMonsters (Clb)RW212001-12-01CANYes190 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Brian Elliott (contrat à 1 volet)Monsters (Clb)G381985-04-09CANNo221 Lbs6 ft2NoNoN/AYesNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Chad YetmanMonsters (Clb)RW232000-02-18CANYes179 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Chase PriskieMonsters (Clb)D271996-03-19USANo185 Lbs6 ft0NoNoFree AgentYesNo32024-09-03FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Cole FonstadMonsters (Clb)LW232000-04-24CANYes170 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Connor MackeyMonsters (Clb)D271996-09-12USANo195 Lbs6 ft2NoNoN/AYesNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Daniil ChaykaMonsters (Clb)D202002-10-22RUSYes200 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm847,500$0$0$No847,500$--------847,500$--------No--------Lien
Dominik BokkMonsters (Clb)LW/RW232000-02-03GERYes181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Lien
Drew HellesonMonsters (Clb)D222001-03-26USAYes211 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Frederic BrunetMonsters (Clb)D202003-08-21CANYes195 Lbs6 ft3NoNoProspectNoNo32024-06-25FalseFalsePro & Farm860,000$0$0$No860,000$860,000$-------860,000$860,000$-------NoNo-------Lien
Ivan MiroshnichenkoMonsters (Clb)LW192004-02-04RUSYes185 Lbs6 ft1NoNoProspectNoNo32024-06-25FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Jakub SkarekMonsters (Clb)G231999-11-10CZEYes205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm764,167$0$0$No---------------------------Lien
Jared DavidsonMonsters (Clb)C/LW/RW212002-07-07CANYes183 Lbs6 ft0NoNoProspectNoNo32024-06-25FalseFalsePro & Farm862,500$0$0$No862,500$862,500$-------862,500$862,500$-------NoNo-------Lien
Ken Appleby (contrat à 1 volet)Monsters (Clb)G281995-04-10CANNo210 Lbs6 ft4NoNoN/AYesNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Laurent Dauphin (contrat à 1 volet)Monsters (Clb)C281995-03-27CANNo186 Lbs6 ft0NoNoN/AYesNo2FalseFalsePro & Farm888,888$0$0$No888,888$--------888,888$--------No--------Lien
Lukas CormierMonsters (Clb)D212002-03-27CANYes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm793,333$0$0$No793,333$--------793,333$--------No--------Lien
Luke Philp (contrat à 1 volet)Monsters (Clb)C271995-11-06CANNo185 Lbs5 ft10NoNoN/AYesNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Matej BlumelMonsters (Clb)LW232000-05-31CZEYes198 Lbs6 ft0NoNoTrade2025-02-24NoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Matt KierstedMonsters (Clb)D251998-04-14USANo181 Lbs6 ft0NoNoN/AYesNo1FalseFalsePro & Farm930,000$0$0$No---------------------------Lien
Matt RempeMonsters (Clb)C/RW212002-06-29CANYes207 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm820,000$0$0$No820,000$--------820,000$--------No--------Lien
Matteo CostantiniMonsters (Clb)C212002-08-16CANYes176 Lbs6 ft2NoNoProspectNoNo32024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Vincent IorioMonsters (Clb)D202002-11-14CANYes205 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm845,000$0$0$No845,000$--------845,000$--------No--------Lien
William StromgrenMonsters (Clb)LW202003-06-07SWEYes195 Lbs6 ft3NoNoProspectNoNo32024-06-25FalseFalsePro & Farm900,833$0$0$No900,833$900,833$-------900,833$900,833$-------NoNo-------Lien
Wyatte WylieMonsters (Clb)D231999-11-02USAYes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm820,833$0$0$No---------------------------Lien
Yaniv PeretsMonsters (Clb)G232000-03-04CANYes181 Lbs6 ft1NoNoTrade2025-02-14NoNo32024-06-25FalseFalsePro & Farm805,000$0$0$No805,000$805,000$-------805,000$805,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.39194 Lbs6 ft21.82822,282$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelLaurent DauphinJared Davidson40023
2Ivan MiroshnichenkoBenoit-Olivier GroulxBrandon Coe30014
3William StromgrenLuke PhilpMatt Rempe20023
4Cole FonstadMatteo CostantiniDominik Bokk10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieConnor Mackey40023
2Matt KierstedVincent Iorio30032
3Adam GinningWyatte Wylie20122
4Chase PriskieConnor Mackey10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelLaurent DauphinJared Davidson60005
2Ivan MiroshnichenkoBenoit-Olivier GroulxBrandon Coe40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieConnor Mackey60014
2Matt KierstedVincent Iorio40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinMatej Blumel60050
2Benoit-Olivier GroulxIvan Miroshnichenko40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieConnor Mackey60050
2Matt KierstedVincent Iorio40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Laurent Dauphin60050Chase PriskieConnor Mackey60050
2Benoit-Olivier Groulx40050Matt KierstedVincent Iorio40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinMatej Blumel60122
2Benoit-Olivier GroulxIvan Miroshnichenko40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieConnor Mackey60122
2Matt KierstedVincent Iorio40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelLaurent DauphinJared DavidsonChase PriskieConnor Mackey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelLaurent DauphinJared DavidsonChase PriskieConnor Mackey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Stromgren, Luke Philp, Jared DavidsonWilliam Stromgren, Luke PhilpWilliam Stromgren
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vincent Iorio, Adam Ginning, Wyatte WylieVincent IorioVincent Iorio, Adam Ginning
Tirs de pénalité
Laurent Dauphin, Matej Blumel, Ivan Miroshnichenko, Benoit-Olivier Groulx, William Stromgren
Gardien
#1 : Brian Elliott, #2 : Arturs Silovs


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
1Manchots404000001016-620200000610-42020000046-200.0001017270031721013087971021104276210417211.76%6183.33%012121955.25%9419149.21%9415361.44%21111018292206105
2Sound Tigers64200000311912321000001810832100000139480.6673151820031721015787971021190585310321628.57%40100.00%012121955.25%9419149.21%9415361.44%21111018292206105
Total104600000413565230000024204523000001715280.400416810900317210287879710212948511520738821.05%10190.00%012121955.25%9419149.21%9415361.44%21111018292206105
_Since Last GM Reset104600000413565230000024204523000001715280.400416810900317210287879710212948511520738821.05%10190.00%012121955.25%9419149.21%9415361.44%21111018292206105
_Vs Conference104600000413565230000024204523000001715280.400416810900317210287879710212948511520738821.05%10190.00%012121955.25%9419149.21%9415361.44%21111018292206105
_Vs Division104200000413565210000024204521000001715280.400416810900317210287879710212948511520738821.05%10190.00%012121955.25%9419149.21%9415361.44%21111018292206105

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L341681092872948511520700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104600004135
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300002420
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001715
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
38821.05%10190.00%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
87971021317210
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
12121955.25%9419149.21%9415361.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
21111018292206105


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 - 2025-04-182Sound Tigers1Monsters5WSommaire du match
3 - 2025-04-2010Sound Tigers6Monsters5LSommaire du match
5 - 2025-04-2218Monsters5Sound Tigers2WSommaire du match
7 - 2025-04-2426Monsters1Sound Tigers3LSommaire du match
9 - 2025-04-2634Sound Tigers3Monsters8WSommaire du match
11 - 2025-04-2842Monsters7Sound Tigers4WSommaire du match
15 - 2025-05-0258Manchots5Monsters4LXSommaire du match
17 - 2025-05-0462Manchots5Monsters2LSommaire du match
19 - 2025-05-0666Monsters3Manchots4LSommaire du match
21 - 2025-05-0870Monsters1Manchots2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance10,0005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-1 3000 - 100.00% 102,000$510,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,958,499$ 1,958,499$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 0$ 0$




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