Manitoba Moose

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Lucas Giguere | Morale : 99 | Moyenne d'Équipe : 65
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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
1Justin Bailey0X100.006746886389788062596061646269647197690251750,000$
2Daniel Carr0X100.006242886573807763616464626577695694690282750,000$
3Hudson Fasching0X100.006946816084878958555759615869655797680254750,000$
4Matt Read0X100.005743896268787361565960635984745298670342750,000$
5Reid Boucher0X100.005843896569737563596264616573675297670262750,000$
6Jesper Boqvist (R)0X100.006539876670797364726163676663647697670213750,000$
7Austin Czarnik0XX100.0056418865637776646263635965756848976602711,250,000$
8Vladislav Kamenev0XX100.006139886379746864736259576567647298650244750,000$
9Jansen Harkins0X100.005946886374757362686159606365627298650231750,000$
10Danick Martel0X100.005543846266717360545958615871665997640252750,000$
11Seth Helgeson0X100.007572715590889256305451584578685597680291750,000$
12Adam Boqvist (R)0X100.006339887069767268306661595261628997670203750,000$
13Frank Corrado0X100.006345895875787756305452554573675897640271750,000$
Rayé
1Byron Froese0X100.006453836378858662726061646277795694700291775,000$
2Kristian Vesalainen0X100.006545906285757663566159646261638297670212900,000$
3Connor Brickley0XXX100.0058536864755457645059585259535161985902800$
4Alexandre Grenier0X100.0060896166895050665057575057505053975902800$
5Quinton Howden0XX100.005437806873454558405054635562546398570283750,000$
6Ryan Lindgren0X100.006948786573797263306256665063657397660221925,000$
7Juuso Valimaki (R)0X100.006135756683656266305653666451508497620212950,000$
MOYENNE D'ÉQUIPE100.00624783647673726252595961596764649765
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
1Philippe Desrosiers100.00717573767069717069717069736897650
Rayé
MOYENNE D'ÉQUIPE100.0071757376706971706971706973689765
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 RestantSalaire MoyenSalaire Moyen 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 BoqvistManitoba Moose (WPG)D208/15/2000Yes81 Kg180 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Alexandre GrenierManitoba Moose (WPG)RW289/5/1991No91 Kg196 CMNoNoNo0Pro & Farm0$0$NoLien
Austin CzarnikManitoba Moose (WPG)C/RW2712/12/1992No77 Kg175 CMNoNoNo1Pro & Farm1,250,000$1,250,000$1,250,000$1,250,000$0$0$NoLien
Byron FroeseManitoba Moose (WPG)C293/12/1991No92 Kg185 CMNoNoNo1Pro & Farm775,000$775,000$750,000$750,000$0$0$NoLien
Connor BrickleyManitoba Moose (WPG)C/LW/RW282/25/1992No92 Kg183 CMNoNoNo0Pro & Farm0$0$NoLien
Danick MartelManitoba Moose (WPG)LW2512/12/1994No84 Kg175 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Daniel CarrManitoba Moose (WPG)LW2811/1/1991No88 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Frank CorradoManitoba Moose (WPG)D273/26/1993No93 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Hudson FaschingManitoba Moose (WPG)RW257/28/1995No93 Kg191 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Jansen HarkinsManitoba Moose (WPG)C235/23/1997No83 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Jesper BoqvistManitoba Moose (WPG)C2110/30/1998Yes82 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Justin BaileyManitoba Moose (WPG)RW257/1/1995No97 Kg193 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Juuso ValimakiManitoba Moose (WPG)D2110/6/1998Yes96 Kg188 CMNoNoNo2Pro & Farm950,000$950,000$750,000$750,000$0$0$No950,000$Lien
Kristian VesalainenManitoba Moose (WPG)LW216/1/1999No94 Kg191 CMNoNoNo2Pro & Farm900,000$900,000$750,000$750,000$0$0$No900,000$Lien
Matt ReadManitoba Moose (WPG)RW346/14/1986No85 Kg178 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Philippe DesrosiersManitoba Moose (WPG)G258/16/1995No89 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Quinton HowdenManitoba Moose (WPG)C/LW281/21/1992No86 Kg188 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Reid BoucherManitoba Moose (WPG)LW269/8/1993No89 Kg178 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Ryan LindgrenManitoba Moose (WPG)D222/11/1998No87 Kg183 CMNoNoNo1Pro & Farm925,000$925,000$750,000$750,000$0$0$NoLien
Seth HelgesonManitoba Moose (WPG)D2910/8/1990No100 Kg193 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Vladislav KamenevManitoba Moose (WPG)C/LW248/12/1996No88 Kg188 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.5289 Kg185 CM1.76728,571$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel CarrJustin Bailey31122
2Reid BoucherHudson Fasching26122
3Jesper BoqvistMatt Read23122
4Austin Czarnik20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth HelgesonAdam Boqvist31122
2Frank Corrado26122
3Seth Helgeson23122
4Adam Boqvist20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel CarrJustin Bailey55122
2Reid BoucherHudson Fasching45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth HelgesonAdam Boqvist55122
2Frank Corrado45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Daniel Carr55122
2Reid Boucher45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth HelgesonAdam Boqvist55122
2Frank Corrado45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Seth HelgesonAdam Boqvist55122
245122Frank Corrado45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Daniel Carr55122
2Reid Boucher45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth HelgesonAdam Boqvist55122
2Frank Corrado45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel CarrJustin BaileySeth HelgesonAdam Boqvist
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel CarrJustin BaileySeth HelgesonAdam Boqvist
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Daniel Carr, , Reid Boucher, Justin BaileyMatt Read
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Frank Corrado, , Frank Corrado
Tirs de Pénalité
, Justin Bailey, Daniel Carr, Hudson Fasching,
Gardien
#1 : , #2 : Philippe Desrosiers
Lignes d'Attaque Perso. en Prol.
, Justin Bailey, Daniel Carr, Hudson Fasching, , Matt Read, Matt Read, Reid Boucher, , Jesper Boqvist, Austin Czarnik
Lignes de Défense Perso. en Prol.
Seth Helgeson, Adam Boqvist, , Frank Corrado,


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
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,530,000$ 1,475,000$ 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
Saison Régulière
34803926036242381885040211300312124814340181303312114107798238431669048779679256685484184649220761571714892484317.34%3174386.44%21513268456.37%1391252655.07%685119157.51%202314361825561998508
34803926036242381885040211300312124814340181303312114107798238431669048779679256685484184649220761571714892484317.34%3174386.44%21513268456.37%1391252655.07%685119157.51%202314361825561998508
Total Saison Régulière1607852061248476376100804226006242481628680362606624228214141964768621338081741581341851321708168216929844141230143429784968617.34%6348686.44%43026536856.37%2782505255.07%1370238257.51%404728723651112219971016
Séries
341477000003234-2624000001216-485300000201821432599111101093443128151141234411269028456610.71%39489.74%127154549.72%22646948.19%10719953.77%36225335210218595
Total Séries1477000003234-2624000001216-485300000201821432599111101093443128151141234411269028456610.71%39489.74%127154549.72%22646948.19%10719953.77%36225335210218595