Monsters

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Benoit Toupin | Morale : 50 | Moyenne d'Équipe : 53
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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 SPÂgeContratSalaire Moyen
1Sheldon DriesXX100.00696170746568776568546360644848050600255700,000$
2Julien GauthierX100.00755285698458855439585558254747050580212925,000$
3Zach Senyshyn (R)X100.00777090707171745350485564534444050570221895,000$
4Marcus KrugerXXX100.005443837458536246824447724763600505502921,000,000$
5Griffen MolinoXX100.00716489606354525265504662455151050530253900,000$
6Tim Soderlund (R)XX100.00665885655856594750434556434444050510214825,834$
7Kasper Bjorkqvist (R)XX100.00777289507249495050385662534444050510222700,000$
8Teemu PulkkinenXX100.00463581715748384736405460454338050500272650,000$
9Alexander KhokhlachevXX100.00413591715540273040303061483936050430261600,000$
10Scott KosmachukX100.00413584685740273135333064443532050430251560,000$
11Adam Tambellini (R)XX100.00354343435133333543353543393230050370242560,000$
12Brian LashoffX100.00838281688268724825364069396364050620292775,000$
13Julian MelchioriX100.00848189688168755025374266404848050600274725,000$
14Keaton MiddletonX100.00828867618864684925404264404444050580212715,000$
15Jimmy Schuldt (R)X100.00767577617561645325464562434444050570242825,000$
16Johnathan Kovacevic (R)X100.00787879637855584825384262404444050560223792,500$
17Jake Christiansen (R)X100.00797199587154584125283961374444050530204925,000$
Rayé
1Todd Burgess (R)X100.00364040405535353640363640383230050370232650,000$
2Kurtis MacDermidX100.00878870668259695928484865255151050610254650,000$
3Jeremy RoyX100.00707181616858644725394062384747050550221825,000$
4Reece Scarlett (R)X100.00746986616949504925404260404444050530262650,000$
5Sergei Boikov (R)X100.00333737376633333337333337353230050370232705,000$
MOYENNE D'ÉQUIPE100.0065617762685356473941446042454405052
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
1Jake Oettinger100.0059526586636356636362304444050600
2Michael Hutchinson100.0052616681594952555657785959050580
Rayé
1Cory Schneider100.0057616580585253596357726970050600
2Jean-Francois Berube100.0058698266535953625855304748050580
MOYENNE D'ÉQUIPE100.005761707858565460605853555505059
Nom du Coach 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
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam TambelliniMonsters (Clb)C/LW241994-11-01Yes169 Lbs6 ft2NoNoNo2Pro & Farm560,000$200,000$56,000$20,000$No560,000$Lien
Alexander KhokhlachevMonsters (Clb)C/LW261993-09-09No181 Lbs5 ft10NoNoNo1Pro & Farm600,000$214,285$60,000$21,429$NoLien
Brian LashoffMonsters (Clb)D291990-07-15No221 Lbs6 ft3NoNoNo2Pro & Farm775,000$276,785$77,500$27,679$No775,000$Lien
Cory SchneiderMonsters (Clb)G331986-03-18No200 Lbs6 ft3NoNoNo3Pro & Farm5,250,000$1,875,000$525,000$187,500$No5,250,000$5,250,000$Lien
Griffen MolinoMonsters (Clb)C/LW251994-01-21No171 Lbs5 ft11NoNoNo3Pro & Farm900,000$321,428$90,000$32,143$No900,000$900,000$Lien
Jake ChristiansenMonsters (Clb)D201999-09-12Yes194 Lbs6 ft1NoNoNo4Pro & Farm925,000$330,357$92,500$33,036$No925,000$925,000$925,000$
Jake OettingerMonsters (Clb)G201998-12-18No212 Lbs6 ft4NoNoNo3Pro & Farm925,000$330,357$92,500$33,036$No925,000$925,000$Lien
Jean-Francois BerubeMonsters (Clb)G281991-07-13No177 Lbs6 ft1NoNoNo2Pro & Farm999,999$357,142$100,000$35,714$No999,999$Lien
Jeremy RoyMonsters (Clb)D221997-05-14No185 Lbs6 ft0NoNoNo1Pro & Farm825,000$294,642$82,500$29,464$NoLien
Jimmy SchuldtMonsters (Clb)D241995-05-11Yes205 Lbs6 ft1NoNoNo2Pro & Farm825,000$294,642$82,500$29,464$No825,000$Lien
Johnathan KovacevicMonsters (Clb)D221997-07-12Yes207 Lbs6 ft4NoNoNo3Pro & Farm792,500$283,035$79,250$28,304$No792,500$792,500$Lien
Julian MelchioriMonsters (Clb)D271991-12-06No214 Lbs6 ft5NoNoNo4Pro & Farm725,000$258,928$72,500$25,893$No725,000$725,000$725,000$Lien
Julien GauthierMonsters (Clb)RW211997-10-15No225 Lbs6 ft4NoNoNo2Pro & Farm925,000$330,357$92,500$33,036$No925,000$Lien
Kasper BjorkqvistMonsters (Clb)LW/RW221997-07-10Yes198 Lbs6 ft1NoNoNo2Pro & Farm700,000$250,000$70,000$25,000$No700,000$Lien
Keaton MiddletonMonsters (Clb)D211998-02-10No233 Lbs6 ft6NoNoNo2Pro & Farm715,000$255,357$71,500$25,536$No715,000$Lien
Kurtis MacDermidMonsters (Clb)D251994-03-25No208 Lbs6 ft5NoNoNo4Pro & Farm650,000$232,142$65,000$23,214$No650,000$650,000$650,000$Lien
Marcus KrugerMonsters (Clb)C/LW/RW291990-05-27No186 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$357,142$100,000$35,714$No1,000,000$Lien
Michael HutchinsonMonsters (Clb)G291990-03-01No202 Lbs6 ft3YesNoNo2Pro & Farm560,000$200,000$56,000$20,000$No560,000$Lien
Reece ScarlettMonsters (Clb)D261993-05-31Yes185 Lbs6 ft1NoNoNo2Pro & Farm650,000$232,142$65,000$23,214$No650,000$Lien
Scott KosmachukMonsters (Clb)RW251994-01-24No185 Lbs5 ft11NoNoNo1Pro & Farm560,000$200,000$56,000$20,000$NoLien
Sergei BoikovMonsters (Clb)D231996-01-24Yes200 Lbs6 ft2NoNoNo2Pro & Farm705,000$251,785$70,500$25,179$No705,000$Lien
Sheldon DriesMonsters (Clb)C/LW251994-04-23No185 Lbs5 ft9NoNoNo5Pro & Farm700,000$250,000$70,000$25,000$No700,000$700,000$700,000$700,000$Lien
Teemu PulkkinenMonsters (Clb)LW/RW271992-01-02No185 Lbs5 ft10NoNoNo2Pro & Farm650,000$232,142$65,000$23,214$No650,000$Lien
Tim SoderlundMonsters (Clb)LW/RW211998-01-23Yes163 Lbs5 ft9NoNoNo4Pro & Farm825,834$294,940$82,583$29,494$No825,834$825,834$825,834$Lien
Todd BurgessMonsters (Clb)RW231996-04-03Yes178 Lbs6 ft2NoNoNo2Pro & Farm650,000$232,142$65,000$23,214$No650,000$Lien
Zach SenyshynMonsters (Clb)RW221997-03-30Yes192 Lbs6 ft1NoNoNo1Pro & Farm895,000$319,642$89,500$31,964$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2624.58195 Lbs6 ft12.42934,167$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Teemu PulkkinenSheldon DriesJulien Gauthier40023
2Griffen MolinoMarcus KrugerZach Senyshyn30023
3Kasper BjorkqvistAlexander KhokhlachevTim Soderlund20032
4Adam TambelliniSheldon DriesScott Kosmachuk10022
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake ChristiansenBrian Lashoff40023
2Keaton MiddletonJulian Melchiori30023
3Johnathan KovacevicJimmy Schuldt20122
4Brian LashoffJake Christiansen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Teemu PulkkinenSheldon DriesJulien Gauthier60014
2Griffen MolinoMarcus KrugerZach Senyshyn40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brian LashoffKeaton Middleton60014
2Johnathan KovacevicJimmy Schuldt40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Marcus KrugerSheldon Dries60041
2Kasper BjorkqvistZach Senyshyn40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Keaton MiddletonBrian Lashoff60050
2Johnathan KovacevicJulian Melchiori40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Marcus Kruger60050Keaton MiddletonBrian Lashoff60050
2Sheldon Dries40050Jimmy SchuldtJulian Melchiori40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Marcus KrugerSheldon Dries60122
2Julien GauthierZach Senyshyn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brian LashoffKeaton Middleton60122
2Johnathan KovacevicJulian Melchiori40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Teemu PulkkinenSheldon DriesJulien GauthierBrian LashoffKeaton Middleton
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Marcus KrugerSheldon DriesZach SenyshynBrian LashoffJimmy Schuldt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kasper Bjorkqvist, Tim Soderlund, Teemu PulkkinenKasper Bjorkqvist, Tim SoderlundTeemu Pulkkinen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Keaton Middleton, Jimmy Schuldt, Keaton MiddletonJimmy Schuldt,
Tirs de Pénalité
Tim Soderlund, Sheldon Dries, Julien Gauthier, Zach Senyshyn, Marcus Kruger
Gardien
#1 : Jake Oettinger, #2 : Michael Hutchinson


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
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
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,428,833$ 2,428,833$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 26 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 10 0$ 0$




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