Heat

GP: 63 | W: 33 | L: 28 | OTL: 2 | P: 68
GF: 295 | GA: 304 | PP%: 42.80% | PK%: 54.79%
DG: Bruce Gauvreau | Morale : 53 | Moyenne d'Équipe : 69
Prochain matchs #770 vs Stars
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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
1Lee StempniakX100.006740847270805463605357676386742862680
2Scott HarringtonX100.006641826378736068306371727153526846670
Rayé
MOYENNE D'ÉQUIPE100.00674183687477576645586470677063485468
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
1Reto Berra100.00747182887578757575737156654750730
Rayé
MOYENNE D'ÉQUIPE100.0074718288757875757573715665475073
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill79777286776282USA4441,100,000$


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
1Lee StempniakHeat (CGY)RW19332861190027311745710618.97%1347725.15131528285853813735165.11%2354231072.55000001030
2Scott HarringtonHeat (CGY)D9102535164051194423010.64%824226.92109192128055837210.00%01211012.8900000152
Stats d'équipe Total ou en Moyenne28435396354032422689913616.04%2172025.7223244749865813211107265.11%2355442082.67000001182
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
1Reto BerraHeat (CGY)2618700.9083.0414990076825419400.0000260236
Stats d'équipe Total ou en Moyenne2618700.9083.0414990076825419400.0000260236


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
Lee StempniakHeat (CGY)RW341983-02-04No195 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Reto BerraHeat (CGY)G301987-01-03No218 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Scott HarringtonHeat (CGY)D241993-03-10No207 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
329.33207 Lbs6 ft21.00750,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
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
1Admirals2020000079-22020000079-20000000000000.0007132000581131231424315535398602020238337.50%10460.00%146398347.10%546125843.40%586134543.57%130977314535821024484
2Barracuda6500100038162232001000198113300000019811121.0003868106005811312311894315535398126414868321753.13%25772.00%146398347.10%546125843.40%586134543.57%130977314535821024484
3Bears22000000862110000005411100000032141.0008142200581131231304315535398581920175480.00%10370.00%146398347.10%546125843.40%586134543.57%130977314535821024484
4Blacknight73400000333124220000016142312000001717060.4293357900058113123117543155353981544670107341441.18%351362.86%346398347.10%546125843.40%586134543.57%130977314535821024484
5Bruins1100000010281100000010280000000000021.000101727005811312313243155353982164149555.56%220.00%246398347.10%546125843.40%586134543.57%130977314535821024484
6Condors633000002533-8312000001020-10321000001513260.50025457000581131231153431553539825368666124937.50%331263.64%146398347.10%546125843.40%586134543.57%130977314535821024484
7Devils20200000613-710100000410-61010000023-100.00061016005811312314143155353989029401710220.00%15753.33%046398347.10%546125843.40%586134543.57%130977314535821024484
8Gulls541000003121102200000017107321000001411380.800315788005811312311334315535398127395484211047.62%281160.71%346398347.10%546125843.40%586134543.57%130977314535821024484
9Icedogs220000001174110000004221100000075241.00011213200581131231404315535398592416316466.67%8275.00%146398347.10%546125843.40%586134543.57%130977314535821024484
10Marlies413000001220-82110000078-120200000512-720.25012213300581131231105431553539817963645713538.46%271351.85%046398347.10%546125843.40%586134543.57%130977314535821024484
11Monsters220000001697110000008351100000086241.000162945005811312315343155353984820638171058.82%3166.67%046398347.10%546125843.40%586134543.57%130977314535821024484
12Moose10100000510-50000000000010100000510-500.0005813005811312312443155353984019892150.00%4325.00%146398347.10%546125843.40%586134543.57%130977314535821024484
13Penguins20200000715-810100000610-41010000015-400.00071320005811312314443155353988828181610330.00%9544.44%046398347.10%546125843.40%586134543.57%130977314535821024484
14Phantoms20200000613-71010000036-31010000037-400.000610160058113123135431553539893432431200.00%11827.27%046398347.10%546125843.40%586134543.57%130977314535821024484
15Rampages312000001623-71100000084420200000819-1120.3331629450058113123165431553539814344262211545.45%131115.38%046398347.10%546125843.40%586134543.57%130977314535821024484
16Reigh53100100241682010010058-3330000001981170.70024467000581131231118431553539812041249422836.36%12466.67%146398347.10%546125843.40%586134543.57%130977314535821024484
17Rocket2110000078-11010000016-51100000062420.5007142100581131231504315535398572218318337.50%9455.56%046398347.10%546125843.40%586134543.57%130977314535821024484
18Senateurs20200000218-161010000019-81010000019-800.0002460058113123137431553539894303521600.00%151126.67%046398347.10%546125843.40%586134543.57%130977314535821024484
19Sound Tigers11000000642110000006420000000000021.0006111700581131231264315535398441010135240.00%5260.00%146398347.10%546125843.40%586134543.57%130977314535821024484
20Stars30200100819-1120100100614-81010000025-310.167816240058113123172431553539815367424017529.41%161037.50%046398347.10%546125843.40%586134543.57%130977314535821024484
21Thunderbird2200000013103110000006511100000075241.00013243700581131231444315535398591320277571.43%10460.00%046398347.10%546125843.40%586134543.57%130977314535821024484
Total63322801200295304-932151401200149156-731171400000146148-2680.5402955358300058113123115314315535398210870463983327111642.80%30313754.79%1646398347.10%546125843.40%586134543.57%130977314535821024484
23Wolves11000000413000000000001100000041321.00048120058113123123431553539842126122150.00%30100.00%046398347.10%546125843.40%586134543.57%130977314535821024484
_Since Last GM Reset63322801200295304-932151401200149156-731171400000146148-2680.5402955358300058113123115314315535398210870463983327111642.80%30313754.79%1646398347.10%546125843.40%586134543.57%130977314535821024484
_Vs Conference41221601200202186162098012009289321138000001109713480.585202368570005811312311034431553539812774213805511797743.02%1877758.82%1246398347.10%546125843.40%586134543.57%130977314535821024484
_Vs Division291890110015111734147501100676071511400000845727390.6721512734240058113123176843155353987802352624141335843.61%1334764.66%946398347.10%546125843.40%586134543.57%130977314535821024484

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6368L12955358301531210870463983300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6332281200295304
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3215141200149156
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3117140000146148
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
27111642.80%30313754.79%16
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
4315535398581131231
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
46398347.10%546125843.40%586134543.57%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
130977314535821024484


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 - 2018-10-092Blacknight1Heat4WSommaire du Match
7 - 2018-10-1526Reigh3Heat2LXSommaire du Match
15 - 2018-10-2350Blacknight5Heat3LSommaire du Match
19 - 2018-10-2766Heat10Barracuda2WSommaire du Match
21 - 2018-10-2975Gulls5Heat7WSommaire du Match
24 - 2018-11-0189Heat4Gulls1WSommaire du Match
26 - 2018-11-0397Condors2Heat4WSommaire du Match
30 - 2018-11-07121Barracuda1Heat8WSommaire du Match
31 - 2018-11-08127Heat9Reigh2WSommaire du Match
33 - 2018-11-10138Heat5Condors2WSommaire du Match
34 - 2018-11-11143Heat5Blacknight1WSommaire du Match
36 - 2018-11-13151Marlies4Heat6WSommaire du Match
40 - 2018-11-17169Admirals5Heat4LSommaire du Match
46 - 2018-11-23191Heat2Marlies4LSommaire du Match
47 - 2018-11-24194Icedogs2Heat4WSommaire du Match
52 - 2018-11-29217Monsters3Heat8WSommaire du Match
59 - 2018-12-06241Blacknight2Heat6WSommaire du Match
65 - 2018-12-12261Heat2Devils3LSommaire du Match
66 - 2018-12-13265Sound Tigers4Heat6WSommaire du Match
69 - 2018-12-16279Heat6Rocket2WSommaire du Match
71 - 2018-12-18289Barracuda4Heat5WXSommaire du Match
73 - 2018-12-20299Heat3Bears2WSommaire du Match
76 - 2018-12-23311Heat3Phantoms7LSommaire du Match
77 - 2018-12-24314Marlies4Heat1LSommaire du Match
80 - 2018-12-27328Heat4Wolves1WSommaire du Match
81 - 2018-12-28336Senateurs9Heat1LSommaire du Match
84 - 2018-12-31351Heat3Barracuda1WSommaire du Match
86 - 2019-01-02358Heat4Condors3WSommaire du Match
88 - 2019-01-04365Phantoms6Heat3LSommaire du Match
90 - 2019-01-06380Heat1Penguins5LSommaire du Match
93 - 2019-01-09390Stars10Heat3LSommaire du Match
98 - 2019-01-14410Admirals4Heat3LSommaire du Match
103 - 2019-01-19430Heat2Rampages12LSommaire du Match
104 - 2019-01-20435Thunderbird5Heat6WSommaire du Match
107 - 2019-01-23450Heat6Condors8LSommaire du Match
109 - 2019-01-25458Penguins10Heat6LSommaire du Match
111 - 2019-01-27465Heat6Reigh4WSommaire du Match
113 - 2019-01-29475Heat6Rampages7LSommaire du Match
115 - 2019-01-31484Heat7Thunderbird5WSommaire du Match
116 - 2019-02-01489Barracuda3Heat6WSommaire du Match
120 - 2019-02-05507Stars4Heat3LXSommaire du Match
128 - 2019-02-13530Bruins2Heat10WSommaire du Match
130 - 2019-02-15542Heat6Barracuda5WSommaire du Match
132 - 2019-02-17554Condors9Heat2LSommaire du Match
134 - 2019-02-19562Heat1Senateurs9LSommaire du Match
137 - 2019-02-22577Reigh5Heat3LSommaire du Match
140 - 2019-02-25591Heat5Gulls4WSommaire du Match
143 - 2019-02-28602Heat3Marlies8LSommaire du Match
144 - 2019-03-01604Condors9Heat4LSommaire du Match
147 - 2019-03-04622Heat5Moose10LSommaire du Match
149 - 2019-03-06628Bears4Heat5WSommaire du Match
151 - 2019-03-08644Heat6Blacknight9LSommaire du Match
152 - 2019-03-09651Gulls5Heat10WSommaire du Match
154 - 2019-03-11659Heat2Stars5LSommaire du Match
158 - 2019-03-15676Rampages4Heat8WSommaire du Match
162 - 2019-03-19693Heat7Icedogs5WSommaire du Match
163 - 2019-03-20699Rocket6Heat1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24716Heat6Blacknight7LSommaire du Match
169 - 2019-03-26724Blacknight6Heat3LSommaire du Match
171 - 2019-03-28733Heat5Gulls6LSommaire du Match
174 - 2019-03-31740Heat4Reigh2WSommaire du Match
177 - 2019-04-03751Heat8Monsters6WSommaire du Match
179 - 2019-04-05756Devils10Heat4LSommaire du Match
183 - 2019-04-09770Heat-Stars-
185 - 2019-04-11778Reigh-Heat-
188 - 2019-04-14794Heat-Crunch-
190 - 2019-04-16801Crunch-Heat-
195 - 2019-04-21821Gulls-Heat-
200 - 2019-04-26843Icedogs-Heat-
202 - 2019-04-28849Heat-Sound Tigers-
204 - 2019-04-30860Heat-Icedogs-
207 - 2019-05-03870Rampages-Heat-
210 - 2019-05-06885Heat-Monsters-
213 - 2019-05-09894Wolves-Heat-
215 - 2019-05-11903Heat-Moose-
218 - 2019-05-14916Moose-Heat-
222 - 2019-05-18934Heat-Admirals-
224 - 2019-05-20942Wolves-Heat-
225 - 2019-05-21947Heat-Bruins-
227 - 2019-05-23954Heat-Admirals-
233 - 2019-05-29972Moose-Heat-
234 - 2019-05-30975Heat-Wolves-



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
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
990,862$ 225,000$ 225,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 155,321$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 5,591$ 318,687$




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
263322801200295304-932151401200149156-731171400000146148-2682955358300058113123115314315535398210870463983327111642.80%30313754.79%1646398347.10%546125843.40%586134543.57%130977314535821024484
Total Saison Régulière63322801200295304-932151401200149156-731171400000146148-2682955358300058113123115314315535398210870463983327111642.80%30313754.79%1646398347.10%546125843.40%586134543.57%130977314535821024484