Heat

GP: 32 | W: 27 | L: 4 | OTL: 1 | P: 55
GF: 203 | GA: 99 | PP%: 55.86% | PK%: 73.43%
DG: Bruce Gauvreau | Morale : 64 | Moyenne d'Équipe : 67
Prochain matchs #395 vs Senateurs
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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
1Dylan SikuraX100.005335946466797063546859626367645619680
2German RubtsovX100.005935956476746963705862596461638219660
3Joey AndersonX100.006836906170746061596061675862636645640
4Isac LundestromX100.005435936271746361726253645360628345620
5Scott HarringtonX100.007143856282738661307356724971666765700
6Urho VaakanainenX100.005535936074736259305754564660628548610
Rayé
MOYENNE D'ÉQUIPE100.00603792627375686153635863566463734065
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
1Scott Darling100.00757371957473757473757479854268750
Rayé
MOYENNE D'ÉQUIPE100.0075737195747375747375747985426875
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel62657161847863CAN562500,000$


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'ÉquipePOSGP 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
1Scott HarringtonHeat (CGY)D2815668122140313217484788.62%3071125.4013324537740111073310.00%02329012.2801000617
2Isac LundestromHeat (CGY)C1319405929001117107426417.76%730723.639142312370002341063.85%296139023.8400000551
3Joey AndersonHeat (CGY)RW132926552920269124347523.39%030623.5912112318371013344152.63%1142616153.5900000642
4Urho VaakanainenHeat (CGY)D227323980021179548357.37%2653424.30517221756011458100.00%01525001.4600000033
Stats d'équipe Total ou en Moyenne767016423488160897550020825214.00%63185924.47397411384206123192019260.73%4107779182.5201000171313
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
1Scott DarlingHeat (CGY)2724200.9072.5416060168731393300.0000270232
Stats d'équipe Total ou en Moyenne2724200.9072.5416060168731393300.0000270232


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
Dylan SikuraHeat (CGY)RW221995-06-01No166 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
German RubtsovHeat (CGY)C191998-06-27No178 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Isac LundestromHeat (CGY)C171999-11-06No187 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joey AndersonHeat (CGY)RW191998-06-19No190 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Scott DarlingHeat (CGY)G281988-12-22No226 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Scott HarringtonHeat (CGY)D241993-03-10No207 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm1,633,333$0$0$NoLien
Urho VaakanainenHeat (CGY)D181999-01-01No185 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
721.00191 Lbs6 ft11.29876,190$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott HarringtonUrho Vaakanainen40122
230122
320122
4Scott HarringtonUrho Vaakanainen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott HarringtonUrho Vaakanainen60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott HarringtonUrho Vaakanainen60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Scott HarringtonUrho Vaakanainen60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott HarringtonUrho Vaakanainen60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott HarringtonUrho Vaakanainen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott HarringtonUrho Vaakanainen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Scott Harrington, Urho Vaakanainen, Scott HarringtonUrho Vaakanainen,
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
1Admirals2200000010550000000000022000000105541.000101626003477920472783364371592220176466.67%10190.00%227257647.22%27962544.64%32767348.59%703419699290517255
2Barracuda330000002481611000000716220000001771061.00024436700347792010427833643714915284815640.00%14564.29%027257647.22%27962544.64%32767348.59%703419699290517255
3Blacknight330000002191211000000532220000001661061.0002135560034779201062783364371113242740181055.56%11463.64%027257647.22%27962544.64%32767348.59%703419699290517255
4Bruins110000001111011000000111100000000000021.0001118290034779204727833643712524157685.71%20100.00%027257647.22%27962544.64%32767348.59%703419699290517255
5Condors2200000013310110000007251100000061541.00013233600347792061278336437139963811654.55%3166.67%027257647.22%27962544.64%32767348.59%703419699290517255
6Crunch11000000422110000004220000000000021.0004812003477920442783364371168621100.00%3166.67%127257647.22%27962544.64%32767348.59%703419699290517255
7Devils3300000017892200000014771100000031261.0001727440034779208427833643718022384712650.00%19478.95%227257647.22%27962544.64%32767348.59%703419699290517255
8Gulls3300000016882200000010641100000062461.0001631470034779206827833643716617343612650.00%17288.24%227257647.22%27962544.64%32767348.59%703419699290517255
9Monsters220000001495110000007521100000074341.0001426400034779207127833643718423223015640.00%11281.82%127257647.22%27962544.64%32767348.59%703419699290517255
10Moose11000000541110000005410000000000021.000510150034779204327833643713598244250.00%4175.00%027257647.22%27962544.64%32767348.59%703419699290517255
11Penguins11000000541110000005410000000000021.0005914003477920362783364371281361133100.00%3233.33%027257647.22%27962544.64%32767348.59%703419699290517255
12Rampages1010000014-3000000000001010000014-300.00012300347792040278336437144151411200.00%7442.86%027257647.22%27962544.64%32767348.59%703419699290517255
13Reigh3210000026131321100000171071100000093640.667264571003477920122278336437186292642201470.00%14564.29%127257647.22%27962544.64%32767348.59%703419699290517255
14Rocket11000000725000000000001100000072521.000714210034779203427833643712464183266.67%3166.67%027257647.22%27962544.64%32767348.59%703419699290517255
15Senateurs1000010056-1000000000001000010056-110.500510150034779202727833643712671892150.00%9188.89%027257647.22%27962544.64%32767348.59%703419699290517255
16Sound Tigers1010000024-21010000024-20000000000000.0002460034779202827833643712913818100.00%4250.00%027257647.22%27962544.64%32767348.59%703419699290517255
17Thunderbird1010000047-3000000000001010000047-300.0004711003477920172783364371519884250.00%4175.00%027257647.22%27962544.64%32767348.59%703419699290517255
Total3227400100203991041614200000102495316132001001015051550.859203359562013477920105227833643719022622874661458155.86%1433873.43%927257647.22%27962544.64%32767348.59%703419699290517255
19Wolves22000000182161100000080811000000102841.000183149013477920732783364371481910339777.78%5180.00%027257647.22%27962544.64%32767348.59%703419699290517255
_Since Last GM Reset3227400100203991041614200000102495316132001001015051550.859203359562013477920105227833643719022622874661458155.86%1433873.43%927257647.22%27962544.64%32767348.59%703419699290517255
_Vs Conference20182000001345678981000005926331110100000753045360.9001342363700134779206642783364371539159173289975556.70%852471.76%527257647.22%27962544.64%32767348.59%703419699290517255
_Vs Division141310000010041597610000046222477000000541935260.929100177277003477920461278336437135394121204764255.26%591771.19%327257647.22%27962544.64%32767348.59%703419699290517255

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3255L1203359562105290226228746601
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
32274010020399
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
16142000010249
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
16132010010150
Derniers 10 Matchs
WLOTWOTL SOWSOL
630100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1458155.86%1433873.43%9
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
27833643713477920
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
27257647.22%27962544.64%32767348.59%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
703419699290517255


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 - 2019-10-044Heat6Condors1WSommaire du Match
3 - 2019-10-0616Condors2Heat7WSommaire du Match
5 - 2019-10-0823Heat12Barracuda3WSommaire du Match
7 - 2019-10-1039Wolves0Heat8WSommaire du Match
8 - 2019-10-1141Heat1Rampages4LSommaire du Match
10 - 2019-10-1352Heat9Reigh3WSommaire du Match
13 - 2019-10-1667Blacknight3Heat5WSommaire du Match
15 - 2019-10-1877Heat3Blacknight1WSommaire du Match
17 - 2019-10-2093Barracuda1Heat7WSommaire du Match
18 - 2019-10-21102Heat7Rocket2WSommaire du Match
19 - 2019-10-22104Heat6Gulls2WSommaire du Match
22 - 2019-10-25120Gulls1Heat4WSommaire du Match
24 - 2019-10-27137Heat5Barracuda4WSommaire du Match
25 - 2019-10-28144Devils2Heat8WSommaire du Match
30 - 2019-11-02164Reigh2Heat13WSommaire du Match
32 - 2019-11-04176Heat4Admirals2WSommaire du Match
34 - 2019-11-06186Moose4Heat5WSommaire du Match
36 - 2019-11-08196Heat13Blacknight5WSommaire du Match
40 - 2019-11-12214Crunch2Heat4WSommaire du Match
42 - 2019-11-14228Heat10Wolves2WSommaire du Match
45 - 2019-11-17238Bruins1Heat11WSommaire du Match
46 - 2019-11-18250Heat7Monsters4WSommaire du Match
49 - 2019-11-21260Penguins4Heat5WSommaire du Match
52 - 2019-11-24277Heat6Admirals3WSommaire du Match
53 - 2019-11-25285Monsters5Heat7WSommaire du Match
56 - 2019-11-28300Heat3Devils1WSommaire du Match
57 - 2019-11-29310Sound Tigers4Heat2LSommaire du Match
61 - 2019-12-03327Heat5Senateurs6LXSommaire du Match
62 - 2019-12-04332Reigh8Heat4LSommaire du Match
65 - 2019-12-07349Gulls5Heat6WSommaire du Match
68 - 2019-12-10369Devils5Heat6WSommaire du Match
70 - 2019-12-12379Heat4Thunderbird7LSommaire du Match
74 - 2019-12-16395Senateurs-Heat-
77 - 2019-12-19410Heat-Stars-
78 - 2019-12-20417Thunderbird-Heat-
81 - 2019-12-23437Barracuda-Heat-
83 - 2019-12-25448Heat-Bruins-
84 - 2019-12-26458Blacknight-Heat-
86 - 2019-12-28468Heat-Reigh-
89 - 2019-12-31482Heat-Bears-
91 - 2020-01-02490Gulls-Heat-
93 - 2020-01-04502Heat-Phantoms-
95 - 2020-01-06510Heat-Blacknight-
96 - 2020-01-07518Moose-Heat-
99 - 2020-01-10531Heat-Marlies-
101 - 2020-01-12540Rocket-Heat-
104 - 2020-01-15552Heat-Sound Tigers-
106 - 2020-01-17564Phantoms-Heat-
108 - 2020-01-19578Heat-Rocket-
110 - 2020-01-21587Heat-Barracuda-
111 - 2020-01-22596Rocket-Heat-
116 - 2020-01-27615Rampages-Heat-
119 - 2020-01-30631Heat-Stars-
120 - 2020-01-31636Heat-Wolves-
121 - 2020-02-01645Reigh-Heat-
124 - 2020-02-04662Condors-Heat-
126 - 2020-02-06676Heat-Rampages-
128 - 2020-02-08687Rampages-Heat-
131 - 2020-02-11701Heat-Rampages-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
133 - 2020-02-13710Barracuda-Heat-
136 - 2020-02-16726Heat-Crunch-
137 - 2020-02-17734Marlies-Heat-
141 - 2020-02-21749Heat-Penguins-
143 - 2020-02-23757Blacknight-Heat-
146 - 2020-02-26777Heat-Icedogs-
148 - 2020-02-28784Wolves-Heat-
150 - 2020-03-01799Heat-Condors-
152 - 2020-03-03804Bears-Heat-
156 - 2020-03-07824Condors-Heat-
157 - 2020-03-08831Heat-Condors-
160 - 2020-03-11847Heat-Icedogs-
162 - 2020-03-13852Icedogs-Heat-
164 - 2020-03-15861Heat-Gulls-
166 - 2020-03-17868Heat-Moose-
168 - 2020-03-19882Admirals-Heat-
171 - 2020-03-22901Icedogs-Heat-
172 - 2020-03-23905Heat-Gulls-
174 - 2020-03-25914Heat-Moose-
176 - 2020-03-27929Admirals-Heat-
177 - 2020-03-28931Heat-Reigh-
183 - 2020-04-03957Stars-Heat-
190 - 2020-04-10982Stars-Heat-



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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
409,007$ 613,333$ 613,333$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 223,129$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 120 5,829$ 699,480$




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
3322740010020399104161420000010249531613200100101505155203359562013477920105227833643719022622874661458155.86%1433873.43%927257647.22%27962544.64%32767348.59%703419699290517255
Total Saison Régulière322740010020399104161420000010249531613200100101505155203359562013477920105227833643719022622874661458155.86%1433873.43%927257647.22%27962544.64%32767348.59%703419699290517255
Séries
2514000001839-21211000001115-430300000724-172183351003870109443134018761836417741.18%341555.88%0138016.25%249126.37%2410622.64%9457118548731
Total Séries514000001839-21211000001115-430300000724-172183351003870109443134018761836417741.18%341555.88%0138016.25%249126.37%2410622.64%9457118548731