Association Québécoise de Hockey Simulé - Hunters 

Hunters

GP: 21 | W: 11 | L: 9 | OTL: 1 | P: 23
GF: 71 | GA: 60 | PP%: 15.38% | PK%: 76.00%
DG: Samuel Lachapelle | Morale : 90 | Moyenne d'Équipe : 57
Prochain matchs #325 vs TigersCats
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
1Austin CzarnikX100.00584587824556405273465871669078090600
2Thomas BordeleauX100.00504595804976404930485063508173090560
3Samuel Fagemo (R)X100.00514595786650405130445855658370090550
4Cole Reinhardt (R)X100.00504595766650404530405055508370090530
5Joshua Ho-SangX100.00504595795350404530405055508774090530
6Hendrix Lapierre (R)X100.00504595785650404530405055508168090520
7Jean-Luc Foudy (R)X100.00504587795250404530405055508067090520
8Tyler Kleven (R)X100.00564592776961404930485063508170090600
9Tobias Bjornfot (R)X100.00594587766160404730445064508270090590
10Carl DahlstromX100.00504595728550404530405055508875090580
11Mac Hollowell (R)X100.00504592814054404930485061508472090570
12Will ButcherX100.00504595775250404530405055508875090560
Rayé
MOYENNE D'ÉQUIPE100.0052459378585540473443515953847209056
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
1Collin Delia100.0072547789757072707572708879090650
2Alexei Melnichuk (R)100.0070404085656565656565658269090580
Rayé
MOYENNE D'ÉQUIPE100.007147598770686968706968857409062
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Oates65656565957350CAN613700,000$


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
1Thomas BordeleauHunters (MON)RW21718-1554443102616.28%223811.3500000000001033.33%1263000.6700010403
2Thomas HarleyMoncton WildcatsD3011300001010.00%35618.960000401104000.00%000000.3500000001
3Mac HollowellHunters (MON)D21000100021000.00%0884.220000000000000.00%000000.0000000121
4Tyler KlevenHunters (MON)D10000720364650.00%2122022.03000026000027000.00%018000.0000000110
5Carl DahlstromHunters (MON)D3000200000000.00%03812.880000000000000.00%002000.0000000000
6Will ButcherHunters (MON)D3000-200100000.00%1113.990000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne61729107581249163214.29%2765410.730000300110311033.33%12713000.2700010635
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
1Collin DeliaHunters (MON)10100.7736.12490052211000.000010000
Stats d'équipe Total ou en Moyenne10100.7736.12490052211000.000010000


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
Alexei MelnichukHunters (MON)G251998-06-29Yes190 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm800,000$0$0$No
Austin CzarnikHunters (MON)RW301992-12-12No170 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm4,000,000$0$0$No
Carl DahlstromHunters (MON)D281995-01-28No229 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm900,000$0$0$No
Cole ReinhardtHunters (MON)LW232000-02-01Yes200 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm850,000$0$0$No
Collin DeliaHunters (MON)G291994-06-20No208 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,000,000$0$0$No
Hendrix LapierreHunters (MON)C212002-02-09Yes180 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Jean-Luc FoudyHunters (MON)C212002-05-13Yes177 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Joshua Ho-SangHunters (MON)RW261996-10-12No173 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm850,000$0$0$No
Mac HollowellHunters (MON)D251998-09-26Yes170 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm950,000$0$0$No
Samuel FagemoHunters (MON)LW232000-03-14Yes200 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Thomas BordeleauHunters (MON)RW212002-01-03No175 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm1,200,000$0$0$No
Tobias BjornfotHunters (MON)D222001-04-06Yes200 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Tyler KlevenHunters (MON)D212002-01-10Yes200 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm950,000$0$0$No
Will ButcherHunters (MON)D281995-01-06No190 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm950,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1424.50190 Lbs6 ft02.431,130,357$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
135122
230122
3Thomas Bordeleau25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
230122
325122
4Mac Hollowell10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
245122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Thomas Bordeleau, , Thomas Bordeleau
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Mac Hollowell, Mac Hollowell
Tirs de Pénalité
, , , ,
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
1Bandits302001001013-31010000034-12010010079-210.167102030002026232661121671704752924367114.29%11463.64%017835949.58%18435252.27%18133753.71%654499332141276142
2Bayou11000000211000000000001100000021121.00024600202623225112167170491010100.00%000.00%017835949.58%18435252.27%18133753.71%654499332141276142
3CoolFm2020000059-41010000013-21010000046-200.000591410202623242112167170468201620000.00%8362.50%117835949.58%18435252.27%18133753.71%654499332141276142
4Goons42200000111103210000010821010000013-240.5001122330020262329011216717041143563431317.69%19289.47%017835949.58%18435252.27%18133753.71%654499332141276142
5Grizzlies10001000321100010003210000000000021.000358002026232171121671704163118200.00%30100.00%017835949.58%18435252.27%18133753.71%654499332141276142
6Husky21001000642110000003211000100032141.00061218002026232441121671704491822321119.09%11190.91%017835949.58%18435252.27%18133753.71%654499332141276142
7Igloos42200000161242200000011472020000058-340.5001631470120262328111216717047624574012216.67%11463.64%017835949.58%18435252.27%18133753.71%654499332141276142
8Snowbirds1010000035-2000000000001010000035-200.00035810202623225112167170419313164125.00%4250.00%017835949.58%18435252.27%18133753.71%654499332141276142
Total2199021007160111063010003623131136011003537-2230.548711352062220262324531121671704485153327237651015.38%751876.00%117835949.58%18435252.27%18133753.71%654499332141276142
10Vandals11000000523000000000001100000052321.000581300202623218112167170424116163266.67%3166.67%017835949.58%18435252.27%18133753.71%654499332141276142
11Vipers11000000505110000005050000000000021.00051015012026232241121671704144487114.29%20100.00%017835949.58%18435252.27%18133753.71%654499332141276142
12Xpress11000000514000000000001100000051421.000591400202623221112167170421511185120.00%3166.67%017835949.58%18435252.27%18133753.71%654499332141276142
_Since Last GM Reset2199021007160111063010003623131136011003537-2230.548711352062220262324531121671704485153327237651015.38%751876.00%117835949.58%18435252.27%18133753.71%654499332141276142
_Vs Conference176802100565249530100031238815011002529-4170.50056108164112026232361112167170441913430418750612.00%661577.27%117835949.58%18435252.27%18133753.71%654499332141276142
_Vs Division166801100535038530000028217815011002529-4150.46953103156112026232344112167170440313129317948612.50%631576.19%117835949.58%18435252.27%18133753.71%654499332141276142

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2123L17113520645348515332723722
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
219921007160
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
106310003623
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
113611003537
Derniers 10 Matchs
WLOTWOTL SOWSOL
541000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
651015.38%751876.00%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
11216717042026232
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
17835949.58%18435252.27%18133753.71%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
654499332141276142


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
1 - 2024-04-064Hunters4Igloos5LSommaire du Match
3 - 2024-04-0823Igloos0Hunters6WSommaire du Match
4 - 2024-04-0935Hunters4CoolFm6LSommaire du Match
6 - 2024-04-1150Goons2Hunters3WSommaire du Match
7 - 2024-04-1267Hunters5Bandits6LXSommaire du Match
8 - 2024-04-1381Goons4Hunters3LSommaire du Match
10 - 2024-04-1597Hunters1Igloos3LSommaire du Match
11 - 2024-04-16113Igloos4Hunters5WSommaire du Match
13 - 2024-04-18131Hunters3Husky2WXSommaire du Match
14 - 2024-04-19142Hunters1Goons3LSommaire du Match
15 - 2024-04-20152Husky2Hunters3WSommaire du Match
17 - 2024-04-22175CoolFm3Hunters1LSommaire du Match
19 - 2024-04-24195Bandits4Hunters3LSommaire du Match
20 - 2024-04-25212Hunters2Bandits3LSommaire du Match
21 - 2024-04-26220Hunters5Xpress1WSommaire du Match
22 - 2024-04-27236Vipers0Hunters5WSommaire du Match
24 - 2024-04-29255Hunters5Vandals2WSommaire du Match
25 - 2024-04-30263Hunters2Bayou1WSommaire du Match
26 - 2024-05-01277Grizzlies2Hunters3WXSommaire du Match
28 - 2024-05-03297Goons2Hunters4WSommaire du Match
30 - 2024-05-05316Hunters3Snowbirds5LSommaire du Match
31 - 2024-05-06325Hunters-TigersCats-
32 - 2024-05-07339Farmers-Hunters-
34 - 2024-05-09361Smirnoff Ice-Hunters-
35 - 2024-05-10372Hunters-Supreme-
37 - 2024-05-12388Hunters-Marlies-
38 - 2024-05-13399Spartans-Hunters-
40 - 2024-05-15420Hunters-Smirnoff Ice-
41 - 2024-05-16430Outlaws-Hunters-
43 - 2024-05-18449Hunters-Husky-
44 - 2024-05-19462Barracudas-Hunters-
45 - 2024-05-20479Bayou-Hunters-
47 - 2024-05-22499Hunters-Xpress-
48 - 2024-05-23515Twins-Hunters-
50 - 2024-05-25531Hunters-Wolves-
51 - 2024-05-26542Hunters-Chiwawa-
52 - 2024-05-27555Marmots-Hunters-
54 - 2024-05-29577Hunters-Rockets-
55 - 2024-05-30587Marlies-Hunters-
56 - 2024-05-31600Hunters-Scorpions-
58 - 2024-06-02617Snowbirds-Hunters-
60 - 2024-06-04634Hunters-Warriors-
61 - 2024-06-05649Thugs-Hunters-
63 - 2024-06-07670Saguenéens-Hunters-
65 - 2024-06-09691Raptors-Hunters-
66 - 2024-06-10705Hunters-Spartans-
67 - 2024-06-11716Hunters-Saguenéens-
68 - 2024-06-12728Supreme-Hunters-
69 - 2024-06-13740Hunters-Vipers-
71 - 2024-06-15756Hunters-Igloos-
72 - 2024-06-16772Scorpions-Hunters-
73 - 2024-06-17790Hunters-Outlaws-
74 - 2024-06-18802Predateurs-Hunters-
76 - 2024-06-20821Bandits-Hunters-
78 - 2024-06-22845CoolFm-Hunters-
79 - 2024-06-23855Hunters-Goons-
80 - 2024-06-24872Hunters-Barracudas-
81 - 2024-06-25879Hunters-Thugs-
83 - 2024-06-27896Wolves-Hunters-
85 - 2024-06-29918Igloos-Hunters-
87 - 2024-07-01940Hunters-Farmers-
88 - 2024-07-02952Hunters-Marmots-
89 - 2024-07-03958Xpress-Hunters-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
91 - 2024-07-05980Vandals-Hunters-
92 - 2024-07-06995Hunters-Predateurs-
93 - 2024-07-071011Rockets-Hunters-
95 - 2024-07-091029Husky-Hunters-
96 - 2024-07-101042Hunters-Twins-
99 - 2024-07-131065TigersCats-Hunters-
102 - 2024-07-161089Hunters-Raptors-
103 - 2024-07-171095Chiwawa-Hunters-
104 - 2024-07-181101Hunters-CoolFm-
106 - 2024-07-201126Hunters-CoolFm-
107 - 2024-07-211140Xpress-Hunters-
108 - 2024-07-221146Hunters-Grizzlies-
111 - 2024-07-251166Warriors-Hunters-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance19,8809,981
Assistance PCT99.40%99.81%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
28 2986 - 99.54% 101,462$1,014,618$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
597,968$ 1,582,500$ 1,582,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 412,118$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,840,930$ 83 20,199$ 1,676,517$




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
4582314102431224252-2841191901101121122-141122201330103130-2777224400624135583817194450568074630200869087611322173013.82%2545976.77%9641131948.60%653135148.33%629125949.96%2188157916275841132562
4682372605923282242404117120461113311419412014013121491282110028252780942481061218206351170881840195464893511752425121.07%2576176.26%2735138153.22%717137652.11%666123154.10%2298168115385941140565
472199021007160111063010003623131136011003537-223711352062220262324531121671704485153327237651015.38%751876.00%117835949.58%18435252.27%18133753.71%654499332141276142
Total Saison Régulière185777609145457755423924234067122902593193354203742287295-820057710621639771232152251744601128155517347444471491213825445249117.37%58613876.45%121554305950.80%1554307950.47%1476282752.21%514237603499132025501270