Monsters

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Patrick Auger | Morale : 50 | Moyenne d'Équipe : 63
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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
1Oskar LindblomXX100.006937876776759465536667646365675678650
2Nick CousinsXXX100.008144816469749463736563616471686378640
3Casey Mittelstadt (R)X100.005636916977749068746765526961628750640
4Oscar LindbergX100.008140846378736862726165646375685878630
5Brendan LeipsicXX100.006439856667757665537261596369666169630
6Ryan HaggertyXX100.006138866074939159625659585971665978620
7Jake Evans (R)X100.005736906072939059686154565765636250610
8Emil PetterssonX100.005537896073928859676154565769656020600
9Daniel AudetteX100.005238845864949256635854535665636277590
10Nikita SoshnikovX100.005435936069666358555756595471665178580
11Jonah Gadjovich (R)X100.006838845582857954555352565361636450580
12David Kase (R)X100.005336925855837657645954535663626350570
13Brian LashoffX100.006236905987836858306053654577694678640
14Ryan SproulX100.007136925887928956305753614671666764640
15Josiah DidierX100.006641765581847854305451564571666020600
16Kyle BurroughsX100.005942735572939152305451534866747120600
17Jeremy RoyX100.006036915673918755305652544663627420600
18Brennan MenellX100.005236906057939159306551544963626320600
19Will O'NeillX100.006244695675797355305751554579715420590
Rayé
MOYENNE D'ÉQUIPE100.00623886607384835951605657556866625361
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
1Marcus Hogberg100.00796967917877797877797869736420750
2Evan Cormier (R)100.00736967837271737271737263675350700
Rayé
1Eamon McAdam100.00737068747271737271737269735178700
2Filip Gustavsson100.00717472777069717069717061657520680
MOYENNE D'ÉQUIPE100.0074716981737274737274736670614271
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan81757775777173CAN5155,000,000$


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 GP 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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Brendan LeipsicMonsters (Clb)C/LW251994-05-19No182 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm500,000$0$0$NoLien
Brennan MenellMonsters (Clb)D221997-05-24No177 Lbs5 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Brian LashoffMonsters (Clb)D281990-07-16No219 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm300,000$0$0$NoLien
Casey MittelstadtMonsters (Clb)C201998-11-22Yes202 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Daniel AudetteMonsters (Clb)C231996-05-06No176 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
David KaseMonsters (Clb)RW221997-01-28Yes169 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Eamon McAdamMonsters (Clb)G241994-09-24No200 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Emil PetterssonMonsters (Clb)C251994-01-14No164 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Evan CormierMonsters (Clb)G211997-11-06Yes200 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Filip GustavssonMonsters (Clb)G211998-06-07No184 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Jake EvansMonsters (Clb)C231996-06-02Yes186 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Jeremy RoyMonsters (Clb)D221997-05-14No195 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Jonah GadjovichMonsters (Clb)LW201998-12-10Yes209 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Josiah DidierMonsters (Clb)D261993-04-08No202 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Kyle BurroughsMonsters (Clb)D231995-07-12No198 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Marcus HogbergMonsters (Clb)G241994-11-25No209 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Nick CousinsMonsters (Clb)C/LW/RW251993-07-20No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Nikita SoshnikovMonsters (Clb)RW251993-10-14No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Oscar LindbergMonsters (Clb)LW271991-10-29No202 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Oskar LindblomMonsters (Clb)C/LW221996-08-15No191 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Ryan HaggertyMonsters (Clb)C/RW261993-03-04No200 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Ryan SproulMonsters (Clb)D261993-01-13No205 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Will O'NeillMonsters (Clb)D311988-04-28No190 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2323.96193 Lbs6 ft02.87386,957$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oskar LindblomCasey MittelstadtRyan Haggerty40122
2Brendan LeipsicNick CousinsNikita Soshnikov30122
3Oscar LindbergJake EvansDavid Kase20122
4Jonah GadjovichEmil PetterssonOskar Lindblom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulBrian Lashoff40122
2Kyle BurroughsJeremy Roy30122
3Josiah DidierBrennan Menell20122
4Will O'NeillRyan Sproul10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oskar LindblomCasey MittelstadtRyan Haggerty60122
2Brendan LeipsicNick CousinsNikita Soshnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulBrian Lashoff60122
2Kyle BurroughsJeremy Roy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Oskar LindblomCasey Mittelstadt60122
2Nick CousinsBrendan Leipsic40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulBrian Lashoff60122
2Kyle BurroughsJeremy Roy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Oskar Lindblom60122Ryan SproulBrian Lashoff60122
2Casey Mittelstadt40122Kyle BurroughsJeremy Roy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Oskar LindblomCasey Mittelstadt60122
2Nick CousinsBrendan Leipsic40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulBrian Lashoff60122
2Kyle BurroughsJeremy Roy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Oskar LindblomCasey MittelstadtRyan HaggertyRyan SproulBrian Lashoff
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Oskar LindblomCasey MittelstadtRyan HaggertyRyan SproulBrian Lashoff
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Daniel Audette, Oscar Lindberg, Jake EvansDaniel Audette, Oscar LindbergJake Evans
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josiah Didier, Brennan Menell, Will O'NeillJosiah DidierBrennan Menell, Will O'Neill
Tirs de Pénalité
Oskar Lindblom, Casey Mittelstadt, Nick Cousins, Brendan Leipsic, Oscar Lindberg
Gardien
#1 : Marcus Hogberg, #2 : Evan Cormier


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
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 89,000$ 24,370$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 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
Séries
13514000001012-2211000005323030000059-4210172700532095382631012245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230
Total Séries514000001012-2211000005323030000059-4210172700532095382631012245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230