Wild

GP: 10 | W: 8 | L: 1 | OTL: 1 | P: 17
GF: 38 | GA: 10 | PP%: 29.27% | PK%: 87.50%
DG: Kevin Bourassa | Morale : 57 | Moyenne d'Équipe : 64
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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
1Steve BernierX100.007442746188928860545761625984745161640
2Phil VaroneX100.005736916472706663766665626177695260630
3Nicholas BaptisteX100.006536915778949356585554565567646560600
4Mackenzie MacEachernX100.007238866178726360545863605869666460600
5Nikita ScherbakX100.005937896179746259555758565567647860590
6Adam BrooksX100.005037896057928859625759525965636260590
7Gemel SmithX100.005836895972757658635657615869655860590
8Vitaly Abramov (R)X100.005636926264857161555860546361638060590
9Zach RedmondX100.006937876283918761306260635179715460660
10Juuso Valimaki (R)X100.006539836383797162306458725661638460650
11Rinat ValievX100.007239825686918654305752584567646563630
12Victor MeteX100.005335946865798266307054655361637260630
13Ludwig BystromX100.005435935771949256305951544669657160610
Rayé
MOYENNE D'ÉQUIPE100.00623788617584796048605860556966666062
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
1Anders Nilsson100.00848482988382848382848377835560810
2Parker Milner100.00776462777675777675777677834460730
Rayé
MOYENNE D'ÉQUIPE100.0081747288807981807981807783506077
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard70696475706580CAN4551,000,000$


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
1Nicholas BaptisteWild (Min)RW10481262023111972121.05%222422.40178231000070075.00%1200001.0711000301
2Zach RedmondWild (Min)D1029111120177277137.41%728228.250221332000120000.00%000000.7800000110
3Victor MeteWild (Min)D10381150028136523.08%524424.433141027000016000.00%000000.9000000100
4Phil VaroneWild (Min)C10561112603274092412.50%023923.911238290001150072.03%23600000.9211000021
5Juuso ValimakiWild (Min)D104711514014131751723.53%823523.562351031000013100.00%000000.9311000100
6Nikita ScherbakWild (Min)RW102795007630766.67%123123.18134427000001057.89%1900000.7801000002
7Steve BernierWild (Min)RW105276115251338112413.16%126126.172134310000171062.22%4500000.5301001001
8Adam BrooksWild (Min)C1043750061637122410.81%024324.362138310000182068.24%23300000.5701000020
9Vitaly AbramovWild (Min)RW10347720291651718.75%317117.1701106000031062.50%800000.8211000020
10Gemel SmithWild (Min)C102464003131281216.67%114114.1000003000121069.23%10400000.8501000100
11Ludwig BystromWild (Min)D101568007533133.33%818118.1500014000011000.00%000000.6600000101
12Mackenzie MacEachernWild (Min)LW102351180248367205.56%223923.940115290000100078.57%1400000.4211000100
13Rinat ValievWild (Min)D100228135159111100.00%1224024.02000730000017000.00%000000.1700100000
Stats d'équipe Total ou en Moyenne13037681059358101481452998819412.37%50293622.591222347231800031577069.30%67100000.7259101976
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
1Anders NilssonWild (Min)108110.9450.9960524101820100.5569100011
Stats d'équipe Total ou en Moyenne108110.9450.9960524101820100.5569100011


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
Adam BrooksWild (Min)C231996-05-06No180 Lbs5 ft1NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Anders NilssonWild (Min)G291990-03-19No232 Lbs6 ft6NoNoNo3Sans RestrictionPro & Farm3,000,000$0$0$NoLien
Gemel SmithWild (Min)C251994-04-16No195 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Juuso ValimakiWild (Min)D201998-10-06Yes212 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Ludwig BystromWild (Min)D241994-07-20No169 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Mackenzie MacEachernWild (Min)LW251994-03-09No190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Nicholas BaptisteWild (Min)RW231995-08-04No205 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Nikita ScherbakWild (Min)RW231995-12-30No192 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Parker MilnerWild (Min)G281990-09-06No196 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Phil VaroneWild (Min)C281990-12-04No193 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm1,000,000$0$0$NoLien
Rinat ValievWild (Min)D241995-05-11No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Steve BernierWild (Min)RW341985-03-31No222 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Victor MeteWild (Min)D211998-06-07No183 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Vitaly AbramovWild (Min)RW211998-05-08Yes171 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Zach RedmondWild (Min)D301988-07-26No212 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1525.20198 Lbs6 ft02.53726,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mackenzie MacEachernPhil VaroneSteve Bernier40122
2Nikita ScherbakAdam BrooksNicholas Baptiste30122
3Steve BernierGemel SmithNikita Scherbak20122
4Mackenzie MacEachernPhil VaroneVitaly Abramov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondJuuso Valimaki40122
2Victor MeteRinat Valiev30122
3Ludwig BystromZach Redmond20122
4Juuso ValimakiVictor Mete10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mackenzie MacEachernPhil VaroneSteve Bernier60122
2Nikita ScherbakAdam BrooksNicholas Baptiste40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondJuuso Valimaki60122
2Victor MeteRinat Valiev40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Steve BernierPhil Varone60122
2Mackenzie MacEachernNicholas Baptiste40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondJuuso Valimaki60122
2Victor MeteRinat Valiev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Steve Bernier60122Zach RedmondJuuso Valimaki60122
2Phil Varone40122Victor MeteRinat Valiev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Steve BernierPhil Varone60122
2Mackenzie MacEachernNicholas Baptiste40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondJuuso Valimaki60122
2Victor MeteRinat Valiev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mackenzie MacEachernPhil VaroneSteve BernierZach RedmondJuuso Valimaki
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mackenzie MacEachernPhil VaroneSteve BernierZach RedmondJuuso Valimaki
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vitaly Abramov, Gemel Smith, Adam BrooksVitaly Abramov, Gemel SmithAdam Brooks
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ludwig Bystrom, Rinat Valiev, Zach RedmondLudwig BystromRinat Valiev, Zach Redmond
Tirs de Pénalité
Steve Bernier, Phil Varone, Mackenzie MacEachern, Nicholas Baptiste, Nikita Scherbak
Gardien
#1 : Anders Nilsson, #2 : Parker Milner


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
1Checkers22000000707110000005051100000020241.00071320021513957011180108926917346233.33%50100.00%021030070.00%16923173.16%8613563.70%3152351705711969
2Condors220000001028110000006061100000042241.0001017270115139550111801089441310309555.56%50100.00%021030070.00%16923173.16%8613563.70%3152351705711969
3Phantoms1010000013-2000000000001010000013-200.0001230015139522111801089176612900.00%3166.67%021030070.00%16923173.16%8613563.70%3152351705711969
4Reign11000000716110000007160000000000021.0007132000151395451118010891310155240.00%000.00%021030070.00%16923173.16%8613563.70%3152351705711969
5Stars20000110330100000102111000010012-130.750347001513954211180108948814277114.29%7185.71%021030070.00%16923173.16%8613563.70%3152351705711969
6Thunderbirds220000001019110000006061100000041341.0001019290115139570111801089341313305240.00%4175.00%021030070.00%16923173.16%8613563.70%3152351705711969
Total1071001103810285400001026224531001001284170.8503868106041513952991118010891825060148411229.27%24387.50%021030070.00%16923173.16%8613563.70%3152351705711969
_Since Last GM Reset1071001103810285400001026224531001001284170.8503868106041513952991118010891825060148411229.27%24387.50%021030070.00%16923173.16%8613563.70%3152351705711969
_Vs Conference86000110306244300001019118430001001156150.938305383041513952321118010891524354121271037.04%21290.48%021030070.00%16923173.16%8613563.70%3152351705711969

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1017W33868106299182506014804
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
107101103810
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5400010262
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
5310100128
Derniers 10 Matchs
WLOTWOTL SOWSOL
710110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
411229.27%24387.50%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
111801089151395
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
21030070.00%16923173.16%8613563.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
3152351705711969


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 - 2019-09-038Thunderbirds0Wild6WSommaire du Match
3 - 2019-09-0424Wild4Thunderbirds1WSommaire du Match
6 - 2019-09-0746Checkers0Wild5WSommaire du Match
9 - 2019-09-1068Condors0Wild6WSommaire du Match
10 - 2019-09-1178Wild1Stars2LXSommaire du Match
12 - 2019-09-1398Stars1Wild2WXXSommaire du Match
14 - 2019-09-15111Wild1Phantoms3LSommaire du Match
16 - 2019-09-17130Reign1Wild7WSommaire du Match
17 - 2019-09-18135Wild2Checkers0WSommaire du Match
18 - 2019-09-19147Wild4Condors2WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 109,000$ 30,380$ 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