Heat

GP: 8 | W: 7 | L: 1 | OTL: 0 | P: 14
GF: 51 | GA: 17 | PP%: 53.66% | PK%: 64.52%
DG: Bruce Gauvreau | Morale : 54 | Moyenne d'Équipe : 67
Prochain matchs #93 vs Barracuda
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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
1Scott HarringtonX95.007143856282738661307356724971666752700
Rayé
1Dylan SikuraX100.005335946466797063546859626367645642690
2German RubtsovX100.005935956476746963705862596461638239670
3Joey AndersonX100.006836906170746061596061675862636652640
4Isac LundestromX100.005435936271746361726253645360628352620
5Urho VaakanainenX100.005535936074736259305754564660628543610
MOYENNE D'ÉQUIPE99.17603792627375686153635863566463734766
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 Darling97.00757371957473757473757479854256750
Rayé
MOYENNE D'ÉQUIPE97.0075737195747375747375747985425675
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)D85212613801296032198.33%821126.41411151423000118300.00%0109012.4601000202
2Isac LundestromHeat (CGY)C56162214006337161716.22%211723.441781100000110066.10%118105003.7500000121
3Joey AndersonHeat (CGY)RW51392214205542163230.95%011623.345497100000112143.75%3292023.7700000220
4Urho VaakanainenHeat (CGY)D40777004418650.00%19022.6402221000006000.00%004001.5500000001
Stats d'équipe Total ou en Moyenne22245377481002721157707315.29%1153524.3510243424540001475161.33%1502920032.8701000544
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)87100.9232.134800117222123100.000080111
Stats d'équipe Total ou en Moyenne87100.9232.134800117222123100.000080111


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 Harrington (Sur la Masse Salariale)Heat (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 Harrington40122
230122
320122
4Scott Harrington10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott Harrington60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott Harrington60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Scott Harrington60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott Harrington60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott Harrington
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott Harrington
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Scott Harrington, , Scott Harrington,
Tirs de Pénalité
, , , ,
Gardien
#1 : Scott Darling, #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
1Barracuda1100000012390000000000011000000123921.00012193100915270477193127017612197457.14%6266.67%08717350.29%6916242.59%5914440.97%1801101677413164
2Blacknight22000000844110000005321100000031241.00081523009152705971931270821916299444.44%8275.00%08717350.29%6916242.59%5914440.97%1801101677413164
3Condors2200000013310110000007251100000061541.00013233600915270617193127039963811654.55%3166.67%08717350.29%6916242.59%5914440.97%1801101677413164
4Rampages1010000014-3000000000001010000014-300.00012300915270407193127044151411200.00%7442.86%08717350.29%6916242.59%5914440.97%1801101677413164
5Reigh11000000936000000000001100000093621.000916250091527046719312701768159555.56%5260.00%08717350.29%6916242.59%5914440.97%1801101677413164
Total87100000511734330000002051554100000311219140.875519014101915270291719312702226360132412253.66%311164.52%08717350.29%6916242.59%5914440.97%1801101677413164
7Wolves11000000808110000008080000000000021.0008152301915270387193127023842033100.00%20100.00%08717350.29%6916242.59%5914440.97%1801101677413164
_Since Last GM Reset87100000511734330000002051554100000311219140.875519014101915270291719312702226360132412253.66%311164.52%08717350.29%6916242.59%5914440.97%1801101677413164
_Vs Conference87100000511734330000002051554100000311219140.875519014101915270291719312702226360132412253.66%311164.52%08717350.29%6916242.59%5914440.97%1801101677413164
_Vs Division660000004213292200000012574400000030822121.000427311500915270213719312701554042101361952.78%22768.18%08717350.29%6916242.59%5914440.97%1801101677413164

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
814W35190141291222636013201
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
87100005117
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3300000205
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
54100003112
Derniers 10 Matchs
WLOTWOTL SOWSOL
710000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
412253.66%311164.52%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
71931270915270
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
8717350.29%6916242.59%5914440.97%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1801101677413164


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 - 2019-10-2093Barracuda-Heat-
18 - 2019-10-21102Heat-Rocket-
19 - 2019-10-22104Heat-Gulls-
22 - 2019-10-25120Gulls-Heat-
24 - 2019-10-27137Heat-Barracuda-
25 - 2019-10-28144Devils-Heat-
30 - 2019-11-02164Reigh-Heat-
32 - 2019-11-04176Heat-Admirals-
34 - 2019-11-06186Moose-Heat-
36 - 2019-11-08196Heat-Blacknight-
40 - 2019-11-12214Crunch-Heat-
42 - 2019-11-14228Heat-Wolves-
45 - 2019-11-17238Bruins-Heat-
46 - 2019-11-18250Heat-Monsters-
49 - 2019-11-21260Penguins-Heat-
52 - 2019-11-24277Heat-Admirals-
53 - 2019-11-25285Monsters-Heat-
56 - 2019-11-28300Heat-Devils-
57 - 2019-11-29310Sound Tigers-Heat-
61 - 2019-12-03327Heat-Senateurs-
62 - 2019-12-04332Reigh-Heat-
65 - 2019-12-07349Gulls-Heat-
68 - 2019-12-10369Devils-Heat-
70 - 2019-12-12379Heat-Thunderbird-
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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
85,864$ 613,333$ 613,333$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 46,594$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 176 5,829$ 1,025,904$




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
38710000051173433000000205155410000031121914519014101915270291719312702226360132412253.66%311164.52%08717350.29%6916242.59%5914440.97%1801101677413164
Total Saison Régulière8710000051173433000000205155410000031121914519014101915270291719312702226360132412253.66%311164.52%08717350.29%6916242.59%5914440.97%1801101677413164
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