Stars

GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 34 | GA: 11 | PP%: 75.00% | PK%: 70.00%
DG: Hugo St-Amour | Morale : 98 | Moyenne d'Équipe : 61
Prochain matchs #64 vs Rampages
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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
1Lawson CrouseX98.006946666286729659514050626253528581600
2Logan BrownX99.005540796890713360604250606050508777580
3Alexander Nylander (R)X98.005541776069598059504056605650508949570
4Jacob Larsson (R)X100.005642745073477955305752605250508080580
Rayé
1Lias Andersson (R)X100.005541778272595486705060605750504567640
2Gabriel CarlssonX100.005742787979547674304550635751517978640
3Jakub Zboril (R)X100.005843705072479755305652605250504481590
MOYENNE D'ÉQUIPE99.29584274647758746446475361575150737360
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
1Antoine Bibeau (R)99.00727171857272757373716950614861700
Rayé
MOYENNE D'ÉQUIPE99.0072717185727275737371695061486170
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma63756277815976USA473700,000$


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
1Logan BrownStars (DAL)C585130201433142524.24%09418.906511810000011072.73%7761002.7500000122
2Alexander NylanderStars (DAL)RW558133602237141613.51%010120.2246109180000200100.00%483002.5700000111
3Lawson CrouseStars (DAL)LW565114409538102715.79%712024.00437919000090020.00%5123011.8300000200
4Jacob LarssonStars (DAL)D50111402013650.00%37815.710000000001000.00%001000.2500000000
Stats d'équipe Total ou en Moyenne2019193881601411121447315.70%1039419.7114142826480000141070.93%86268011.9300000433
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
1Antoine BibeauStars (DAL)54000.9212.0226800911460200.000050012
Stats d'équipe Total ou en Moyenne54000.9212.0226800911460200.000050012


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
Alexander NylanderStars (DAL)RW191998-03-02Yes180 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Antoine BibeauStars (DAL)G231994-05-01Yes210 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Gabriel CarlssonStars (DAL)D201997-01-02No192 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm894,166$0$0$NoLien
Jacob LarssonStars (DAL)D201997-04-29Yes191 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jakub ZborilStars (DAL)D201997-02-21Yes200 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Lawson CrouseStars (DAL)LW201997-06-23No220 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm894,166$0$0$NoLien
Lias AnderssonStars (DAL)C181998-10-13Yes204 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Logan BrownStars (DAL)C191998-03-05No220 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm894,166$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
819.88202 Lbs6 ft31.25804,062$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lawson CrouseAlexander Nylander40122
2Logan Brown30122
320122
4Lawson CrouseLogan Brown10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Jacob Larsson30122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lawson CrouseAlexander Nylander60122
2Logan Brown40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jacob Larsson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Lawson Crouse60122
2Logan BrownAlexander Nylander40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jacob Larsson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
2Lawson Crouse40122Jacob Larsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Lawson Crouse60122
2Logan BrownAlexander Nylander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jacob Larsson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lawson CrouseAlexander Nylander
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lawson CrouseAlexander Nylander
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alexander Nylander, Logan Brown, Alexander Nylander, Logan Brown
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jacob Larsson, , Jacob Larsson,
Tirs de Pénalité
, Lawson Crouse, Logan Brown, Alexander Nylander,
Gardien
#1 : Antoine Bibeau, #2 :


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
1Gulls44000000295242200000016313220000001321181.00029518000513160139505585095293538272074.07%15286.67%06111254.46%479350.54%5410650.94%10866111468037
2Rampages1010000056-11010000056-10000000000000.000591400513160515055850351310155480.00%5420.00%06111254.46%479350.54%5410650.94%10866111468037
Total541000003411233210000021912220000001321180.800346094005131601905055850130424553322475.00%20670.00%06111254.46%479350.54%5410650.94%10866111468037
_Since Last GM Reset541000003411233210000021912220000001321180.800346094005131601905055850130424553322475.00%20670.00%06111254.46%479350.54%5410650.94%10866111468037
_Vs Conference541000003411233210000021912220000001321180.800346094005131601905055850130424553322475.00%20670.00%06111254.46%479350.54%5410650.94%10866111468037
_Vs Division1010000056-11010000056-10000000000000.000591400513160515055850351310155480.00%5420.00%06111254.46%479350.54%5410650.94%10866111468037

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
58L134609419013042455300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
54100003411
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000219
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2200000132
Derniers 10 Matchs
WLOTWOTL SOWSOL
410000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
322475.00%20670.00%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
5055850513160
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
6111254.46%479350.54%5410650.94%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10866111468037


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
2 - 2018-10-106Gulls1Stars10WSommaire du Match
4 - 2018-10-1214Gulls2Stars6WSommaire du Match
6 - 2018-10-1422Stars7Gulls1WSommaire du Match
8 - 2018-10-1630Stars6Gulls1WSommaire du Match
16 - 2018-10-2460Rampages6Stars5LSommaire du Match
18 - 2018-10-2664Rampages-Stars-
20 - 2018-10-2868Stars-Rampages-
22 - 2018-10-3072Stars-Rampages-
24 - 2018-11-0176Rampages-Stars-
26 - 2018-11-0380Stars-Rampages-
28 - 2018-11-0584Rampages-Stars-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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$ 643,251$ 643,251$ 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$ 12 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
2826512012115962823144132700101292136156413350111030414615813059610411637019723626123776110012651405122512821960132042429669.81%36013662.22%151161193260.09%981172656.84%1005173457.96%1953124316976681290660
Total Saison Régulière826512012115962823144132700101292136156413350111030414615813059610411637019723626123776110012651405122512821960132042429669.81%36013662.22%151161193260.09%981172656.84%1005173457.96%1953124316976681290660
254100000341123321000002191222000000132118346094005131601905055850130424553322475.00%20670.00%06111254.46%479350.54%5410650.94%10866111468037
Total Séries54100000341123321000002191222000000132118346094005131601905055850130424553322475.00%20670.00%06111254.46%479350.54%5410650.94%10866111468037