Wild

GP: 76 | W: 33 | L: 36 | OTL: 7 | P: 73
GF: 265 | GA: 285 | PP%: 19.41% | PK%: 75.56%
DG: Kevin Bourassa | Morale : 41 | Moyenne d'Équipe : 59
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Gemel SmithXXX100.00785573827675797071646770557171150680
2Mike RibeiroX100.00605576757975826350606065559180167650
3Nicholas BaptisteXX100.00655576777572856850616564556059169640
4Steve BernierX100.00845560667975706250606060557273163620
5Andreas JohnssonX100.00605567766662696250596060556571160610
6Nikita ScherbakX100.00645576766762696650626360555050161610
7Lucas WallmarkX100.00665573766662696450606161555050162600
8Phil VaroneX100.00685576776762716050606060555050164600
9Christoph BertschyX100.00655565556762715550555555557272165570
10Brendan RanfordX100.00565555555758585550555555557274164550
11Joakim RyanX100.00735598686380708525666378557373166690
12Victor Mete (R)X100.00665599955578557725646074557675154690
13Zach RedmondX100.00625561737575586225606061556161160620
14Brenden KichtonX100.00555559605959685925595959555353160570
15Darren DietzX100.00595555605555675525555555555353160550
16Rinat ValievX100.00555555605555665525555555555353143540
17Ben MarshallX100.00555556605656595625565656555353158540
18Stepan Falkovsky (R)X100.00555555605555535525555555555555171540
19Ludwig BystromX100.00565555605555665525555555555353153540
Rayé
1Peter Mueller (R)X100.00555555555555555550555555556666121530
2Adam Brooks (R)X100.00565555555859605550555555555050119530
3Mackenzie MacEachern (R)X100.00565555555555555550555555555050119520
4Maxime Lajoie (R)X100.00555555605555665525555555555555137540
MOYENNE D'ÉQUIPE100.0062556667636366614058586055616115459
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
1Parker Milner100.0062635770696966656866556465169640
2Kent Simpson100.0057796965666667676264556063128630
Rayé
MOYENNE D'ÉQUIPE100.006071636868686766656555626414964
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller61807162807071CAN5032,675,000$


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)C/RW766748115-21132523327857317535111.69%31165821.831729461433640001567558.82%15300051.390021214105
2Joakim RyanWild (Min)D7641731141014601781193009618213.67%155176123.183119502313770112256520.00%000011.2900000894
3Phil VaroneWild (Min)C762542676295341221674515614.97%12121215.958172550264000004154.41%157500001.1100100305
4Andreas JohnssonWild (Min)LW76283765415527922035116713.79%19122416.128142255264000041141.58%10100011.0600100315
5Zach RedmondWild (Min)D76174865914420191761676213310.18%122143318.86815231083010000218200.00%000010.9100021351
6Steve BernierWild (Min)RW761532477118023787174481328.62%16126816.703710432661011512260.92%8700000.7400000124
7Nikita ScherbakWild (Min)RW7618254333209596198441569.09%1594112.390442181000003146.67%4500010.9100000322
8Lucas WallmarkWild (Min)C761623394711598140191541408.38%1788311.62000213000002050.83%84600000.8800012130
9Dominic MooreMinnesota WildC12411151014017314713318.51%429324.471349680001531073.01%28900001.0200000100
10Brenden KichtonWild (Min)D7621214-2462051362510158.00%377369.690000000001000.00%000000.3800000010
11Darren DietzWild (Min)D765914-2280083223051216.67%327249.540000000000100.00%000000.3900000011
12Gemel SmithWild (Min)C/LW/RW106612380322138102515.79%623923.952249630000372165.00%2000001.0000000111
13Victor MeteWild (Min)D1154918011183472014.71%621519.575162955000033100.00%000000.8400000012
14Maxime LajoieWild (Min)D2732532402110111227.27%61385.140000000000000.00%000000.7200000000
15Gustav ForslingMinnesota WildD30330003092110.00%66923.27022315000010000.00%000000.8600000000
16Adam BrooksWild (Min)C31010001220150.00%03712.4000000000060065.52%2900000.5400000100
17Stepan FalkovskyWild (Min)D25011000011300.00%0180.740001900000000.00%000001.0800000000
18Ludwig BystromWild (Min)D40011412025816160.00%111984.960000000000000.00%000000.1000000000
19Rinat ValievWild (Min)D3000000000000.00%020.930000000002000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne8942533776301687670133711592186627154011.57%4951306014.618311319670421461125731311355.20%314500090.9600445393630
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
1Parker MilnerWild (Min)1611500.9101.9496002313450210.0000160000
Stats d'équipe Total ou en Moyenne1611500.9101.9496002313450210.0000160000


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)C181998-05-06Yes176 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Andreas JohnssonWild (Min)LW221994-11-20No181 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Ben MarshallWild (Min)D241992-08-30No161 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Brendan RanfordWild (Min)LW241992-05-02No190 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Brenden KichtonWild (Min)D241992-06-17No185 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Christoph BertschyWild (Min)C221994-04-05No189 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Darren DietzWild (Min)D231993-07-17No204 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Gemel SmithWild (Min)C/LW/RW221994-04-16No200 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Joakim RyanWild (Min)D231993-06-17No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Kent SimpsonWild (Min)G241992-03-26No198 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Lucas WallmarkWild (Min)C211995-09-05No176 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Ludwig BystromWild (Min)D221994-07-20No174 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
Mackenzie MacEachernWild (Min)LW221994-03-09Yes190 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Maxime LajoieWild (Min)D191997-11-05Yes181 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Mike RibeiroWild (Min)C361980-02-09No177 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No
Nicholas BaptisteWild (Min)C/RW211995-08-04No203 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Nikita ScherbakWild (Min)RW211995-12-30No175 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No
Parker MilnerWild (Min)G261990-09-06No196 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Peter MuellerWild (Min)C281988-04-13Yes204 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No
Phil VaroneWild (Min)C261990-12-03No185 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Rinat ValievWild (Min)D211995-05-11No205 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Stepan FalkovskyWild (Min)D201996-12-18Yes225 Lbs6 ft7NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Steve BernierWild (Min)RW311985-03-30No215 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Victor MeteWild (Min)D181998-06-07Yes181 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Zach RedmondWild (Min)D281988-07-25No205 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2523.44190 Lbs6 ft02.52412,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nicholas Baptiste40122
2Andreas JohnssonPhil VaroneSteve Bernier30122
3Lucas WallmarkNikita Scherbak20122
4Nicholas Baptiste10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joakim Ryan40122
2Zach Redmond30122
3Brenden KichtonDarren Dietz20122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nicholas Baptiste60122
2Andreas JohnssonPhil VaroneSteve Bernier40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joakim Ryan60122
2Zach Redmond40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Nicholas BaptisteSteve Bernier40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joakim Ryan60122
2Zach Redmond40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Joakim Ryan60122
240122Zach Redmond40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Nicholas BaptisteSteve Bernier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joakim Ryan60122
2Zach Redmond40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicholas BaptisteJoakim Ryan
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicholas BaptisteJoakim Ryan
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nikita Scherbak, Lucas Wallmark, Nikita Scherbak, Lucas Wallmark
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Brenden Kichton, Brenden Kichton
Tirs de Pénalité
, , Nicholas Baptiste, Steve Bernier, Andreas Johnsson
Gardien
#1 : , #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
1Admirals613020001720-3301020001010031200000710-360.50017284500106718351618007668041714052829736616.67%37683.78%01127240446.88%784193640.50%570123246.27%199614881740490842429
2Barracuda40301000817-92020000039-62010100058-320.25081220001067183571800766804171022846572015.00%18572.22%01127240446.88%784193640.50%570123246.27%199614881740490842429
3Condors422000001213-12200000091820200000312-940.50012203201106718351138007668041710534686521523.81%27870.37%01127240446.88%784193640.50%570123246.27%199614881740490842429
4Eagles41300000619-132110000045-120200000214-1220.25061117001067183585800766804171264066753425.88%331069.70%01127240446.88%784193640.50%570123246.27%199614881740490842429
5Griffins641001002619732000100171163210000098190.750264470001067183517080076680417149317213033824.24%35682.86%01127240446.88%784193640.50%570123246.27%199614881740490842429
6Gulls2020000046-21010000023-11010000023-100.0004812001067183558800766804174113295117211.76%11372.73%01127240446.88%784193640.50%570123246.27%199614881740490842429
7Heat411002001315-22010010036-321000100109140.50013203300106718351338007668041711029356326519.23%15566.67%01127240446.88%784193640.50%570123246.27%199614881740490842429
8IceHogs1035011002933-4512011001617-1523000001316-390.45029487710106718352778007668041727863103181401127.50%471176.60%01127240446.88%784193640.50%570123246.27%199614881740490842429
9Moose43000100241014220000001431121000100107370.8752440640010671835191800766804177218389025520.00%17288.24%01127240446.88%784193640.50%570123246.27%199614881740490842429
10Rampage84300001333214400000020146403000011318-590.56333528510106718352618007668041722565114153521528.85%421076.19%01127240446.88%784193640.50%570123246.27%199614881740490842429
11Reign4300100026161022000000169721001000107381.00026447000106718352358007668041711835389615533.33%19573.68%11127240446.88%784193640.50%570123246.27%199614881740490842429
12Roadrunners42200000161602200000085320200000811-340.50016274300106718351268007668041710036578317529.41%26580.77%01127240446.88%784193640.50%570123246.27%199614881740490842429
13Stars84300001332674310000021147412000011212090.563335992011067183528180076680417234759619049816.33%40880.00%01127240446.88%784193640.50%570123246.27%199614881740490842429
Total76283605502265285-2038191303300155134213892302202110151-41730.4802654427073210671835238380076680417202860092614384438619.41%4059975.56%11127240446.88%784193640.50%570123246.27%199614881740490842429
15Wolves808000001843-25404000001227-1540400000616-1000.000182947101067183522180076680417228818210758813.79%381560.53%01127240446.88%784193640.50%570123246.27%199614881740490842429
_Since Last GM Reset76283605502265285-2038191303300155134213892302202110151-41730.4802654427073210671835238380076680417202860092614384438619.41%4059975.56%11127240446.88%784193640.50%570123246.27%199614881740490842429
_Vs Conference58202903402187220-33291310033001121057297190010275115-40520.4481873114983210671835170280076680417159547071810613496819.48%3147974.84%01127240446.88%784193640.50%570123246.27%199614881740490842429

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7673L226544270723832028600926143832
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7628365502265285
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3819133300155134
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
389232202110151
Derniers 10 Matchs
WLOTWOTL SOWSOL
720100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4438619.41%4059975.56%1
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
8007668041710671835
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
1127240446.88%784193640.50%570123246.27%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
199614881740490842429


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
3 - 2018-09-076Moose2Wild7WSommaire du Match
5 - 2018-09-0925Moose1Wild7WSommaire du Match
10 - 2018-09-1439Stars1Wild3WSommaire du Match
17 - 2018-09-2178Wild5Stars0WSommaire du Match
18 - 2018-09-2291Wild1Stars3LSommaire du Match
24 - 2018-09-28114Eagles2Wild4WSommaire du Match
25 - 2018-09-29128Eagles3Wild0LSommaire du Match
31 - 2018-10-05142Wild0Griffins1LSommaire du Match
32 - 2018-10-06160Wild4IceHogs2WSommaire du Match
33 - 2018-10-07170IceHogs4Wild6WSommaire du Match
36 - 2018-10-10175Wild5IceHogs3WSommaire du Match
37 - 2018-10-11179Condors1Wild3WSommaire du Match
39 - 2018-10-13202Condors0Wild6WSommaire du Match
43 - 2018-10-17221Admirals3Wild4WXSommaire du Match
45 - 2018-10-19232Admirals3Wild1LSommaire du Match
46 - 2018-10-20246Wild1Wolves3LSommaire du Match
50 - 2018-10-24261Wild2Admirals4LSommaire du Match
52 - 2018-10-26271Wild4Moose5LXSommaire du Match
53 - 2018-10-27277Wild6Moose2WSommaire du Match
55 - 2018-10-29298Griffins3Wild7WSommaire du Match
59 - 2018-11-02315Wild0Eagles7LSommaire du Match
60 - 2018-11-03330Wild2Eagles7LSommaire du Match
64 - 2018-11-07346Wolves8Wild1LSommaire du Match
66 - 2018-11-09358Wolves7Wild4LSommaire du Match
67 - 2018-11-10372Griffins2Wild5WSommaire du Match
71 - 2018-11-14388Wild4Stars6LSommaire du Match
73 - 2018-11-16399Wild3Rampage4LSommaire du Match
75 - 2018-11-18418Wild3Rampage5LSommaire du Match
80 - 2018-11-23445Heat2Wild0LSommaire du Match
81 - 2018-11-24461Heat4Wild3LXSommaire du Match
85 - 2018-11-28466IceHogs4Wild3LXSommaire du Match
88 - 2018-12-01493Admirals4Wild5WXSommaire du Match
90 - 2018-12-03505Wolves6Wild2LSommaire du Match
92 - 2018-12-05514Wild2Wolves4LSommaire du Match
94 - 2018-12-07527IceHogs2Wild3WXSommaire du Match
96 - 2018-12-09550Wild2IceHogs4LSommaire du Match
99 - 2018-12-12556Wild3Rampage4LSommaire du Match
101 - 2018-12-14570Wild4Rampage5LXXSommaire du Match
102 - 2018-12-15583Wild2Stars3LXXSommaire du Match
104 - 2018-12-17593Gulls3Wild2LSommaire du Match
108 - 2018-12-21612Reign4Wild9WSommaire du Match
109 - 2018-12-22623Reign5Wild7WSommaire du Match
111 - 2018-12-24637IceHogs2Wild1LSommaire du Match
115 - 2018-12-28662Wild1Admirals4LSommaire du Match
116 - 2018-12-29676Wild1IceHogs2LSommaire du Match
122 - 2019-01-04694Wild0Condors7LSommaire du Match
123 - 2019-01-05710Wild2Gulls3LSommaire du Match
126 - 2019-01-08715Wild2Barracuda1WXSommaire du Match
129 - 2019-01-11729Rampage3Wild5WSommaire du Match
130 - 2019-01-12743Rampage7Wild9WSommaire du Match
137 - 2019-01-19785Wild1IceHogs5LSommaire du Match
138 - 2019-01-20798Wild2Wolves5LSommaire du Match
140 - 2019-01-22807Stars5Wild2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-24815Barracuda6Wild2LSommaire du Match
143 - 2019-01-25826Barracuda3Wild1LSommaire du Match
147 - 2019-01-29849Wild3Barracuda7LSommaire du Match
150 - 2019-02-01865Wild3Condors5LSommaire du Match
151 - 2019-02-02878Wild5Reign3WSommaire du Match
152 - 2019-02-03887Wild5Reign4WXSommaire du Match
157 - 2019-02-08900Wild3Griffins2WSommaire du Match
158 - 2019-02-09918Wild1Wolves4LSommaire du Match
161 - 2019-02-12932Rampage2Wild3WSommaire du Match
164 - 2019-02-15952Rampage2Wild3WSommaire du Match
168 - 2019-02-19976Wild6Roadrunners7LSommaire du Match
169 - 2019-02-20983Wild2Roadrunners4LSommaire du Match
171 - 2019-02-22992Wild5Heat6LXSommaire du Match
173 - 2019-02-241015Wild5Heat3WSommaire du Match
175 - 2019-02-261017Griffins6Wild5LXSommaire du Match
178 - 2019-03-011034Stars4Wild9WSommaire du Match
179 - 2019-03-021046Stars4Wild7WSommaire du Match
182 - 2019-03-051062Roadrunners4Wild6WSommaire du Match
183 - 2019-03-061069Roadrunners1Wild2WSommaire du Match
186 - 2019-03-091091Wild4Admirals2WSommaire du Match
190 - 2019-03-131109Wild6Griffins5WSommaire du Match
192 - 2019-03-151123Wolves6Wild5LSommaire du Match
193 - 2019-03-161132IceHogs5Wild3LSommaire 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
2,790,562$ 103,000$ 89,130$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 115,524$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 14,320$ 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
1376283605502265285-2038191303300155134213892302202110151-41732654427073210671835238380076680417202860092614384438619.41%4059975.56%11127240446.88%784193640.50%570123246.27%199614881740490842429
Total Saison Régulière76283605502265285-2038191303300155134213892302202110151-41732654427073210671835238380076680417202860092614384438619.41%4059975.56%11127240446.88%784193640.50%570123246.27%199614881740490842429