Connexion

Heat
GP: 3 | W: 2 | L: 1 | OTL: 0 | P: 4
GF: 15 | GA: 14 | PP%: 54.55% | PK%: 50.00%
DG: Ray Whiddon | Morale : 52 | Moyenne d’équipe : 59
Prochains matchs #50 vs Eagles
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Centre de jeu
Heat
2-1-0, 4pts
5
FINAL
4 Checkers
0-1-1, 1pts
Team Stats
W2SéquenceOTL1
1-0-0Fiche domicile0-0-1
1-1-0Fiche domicile0-1-0
2-1-0Derniers 10 matchs0-1-1
5.00Buts par match 2.50
4.67Buts contre par match 4.00
54.55%Pourcentage en avantage numérique0.00%
50.00%Pourcentage en désavantage numérique75.00%
Penguins
0-3-0, 0pts
4
FINAL
5 Heat
2-1-0, 4pts
Team Stats
L3SéquenceW2
0-0-0Fiche domicile1-0-0
0-3-0Fiche domicile1-1-0
0-3-0Derniers 10 matchs2-1-0
2.00Buts par match 5.00
4.00Buts contre par match 4.67
37.50%Pourcentage en avantage numérique54.55%
42.86%Pourcentage en désavantage numérique50.00%
Eagles
1-1-0, 2pts
Jour 5
Heat
2-1-0, 4pts
Statistiques d’équipe
L1SéquenceW2
1-1-0Fiche domicile1-0-0
0-0-0Fiche visiteur1-1-0
1-1-010 derniers matchs2-1-0
4.00Buts par match 5.00
3.50Buts contre par match 5.00
75.00%Pourcentage en avantage numérique54.55%
33.33%Pourcentage en désavantage numérique50.00%
Heat
2-1-0, 4pts
Jour 6
Moose
1-1-0, 2pts
Statistiques d’équipe
W2SéquenceL1
1-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-0-0
2-1-010 derniers matchs1-1-0
5.00Buts par match 2.50
4.67Buts contre par match 2.50
54.55%Pourcentage en avantage numérique16.67%
50.00%Pourcentage en désavantage numérique100.00%
Heat
2-1-0, 4pts
Jour 8
Americans
1-0-1, 3pts
Statistiques d’équipe
W2SéquenceW1
1-0-0Fiche domicile1-0-0
1-1-0Fiche visiteur0-0-1
2-1-010 derniers matchs1-0-1
5.00Buts par match 2.50
4.67Buts contre par match 2.50
54.55%Pourcentage en avantage numérique0.00%
50.00%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Mike Hardman
3
Passes
Oskar Back
6
Points
Oskar Back
7
Kyle BurroughsPlus/Moins
Kyle Burroughs
2
Victoires
Erik Portillo
2
Pourcentage d’arrêts
Erik Portillo
0.721

Statistiques d’équipe
Buts pour
15
5.00 GFG
Tirs pour
85
28.33 Avg
Pourcentage en avantage numérique
54.5%
6 GF
Début de zone offensive
37.0%
Buts contre
14
4.67 GAA
Tirs contre
59
19.67 Avg
Pourcentage en désavantage numérique
50.0%%
3 GA
Début de la zone défensive
29.0%
Informations de l'équipe

Directeur généralRay Whiddon
EntraîneurAdam Gill
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,525
Billets de saison1,500


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 100
Espoirs101


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 SPÂgeContratSalaire
1Connor BrownX100.0059419579676799623767717825747672536803122,800,000$
2Oskar Back (R)X96.0063429674775990655865597625535366536502531,485,000$
3Ryan Suzuki (R)X100.0077728768728186658068586654444465536402421,243,000$
4Mike HardmanX97.008076897476737662505864675947476556630261990,000$
5Dylan Roobroeck (R)X100.0081818266818288587349626659444464526202131,390,000$
6Benoit-Olivier GroulxX100.0074737566735249648062636459454462546002521,340,000$
7Dylan Peterson (R)X100.0071775865776669567047616158444460525802331,353,000$
8Bokondji ImamaX100.009399507983436057255158612546465954580291914,000$
9Curtis DouglasX100.0081945065945353556950566553444459525802521,066,000$
10Aku RatyX100.0075718465715454545056476245444456535602431,108,000$
11Luca Pinelli (R)X100.0061596480595352577166445642444455525602031,284,000$
12Nathan Aspinall (R)XXX100.0084779980773432445538446442444452525301931,269,000$
13Anthony Romano (R)XXX100.0076679663674545496147466144444454525202531,320,000$
14Michael KesselringX100.0076866979847299662562526925606064496902521,144,000$
15Shakir Mukhamadullin (R)X100.0071439171777568662558518125474764506602311,294,167$
16Kyle BurroughsX100.0078956867724755602549476825626257506003012,555,000$
17Shai Buium (R)X100.0083799365795455512548406538444454565902231,287,000$
18William VilleneuveX100.007269786769525156255642613944445453570231817,778$
19Cole ClaytonX100.0076738264735254482541396137444451525602531,336,000$
Rayé
1Aaron NessX100.0071668163666469472537415839444451475503511,000,000$
MOYENNE D’ÉQUIPE99.65757279707559655748545266414848595260
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 SPÂgeContratSalaire
1Erik Portillo (R)100.00484860904747525549503044445047530251875,000$
2Felix Sandstrom100.004944558149485255505030444450555202821,585,000$
Rayé
MOYENNE D’ÉQUIPE100.0049465886484852555050304444505153
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Gill40404040404040TUR8111,000,000$


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
1Oskar BackHeat (CAL)C3167-2008891911.11%06923.2903327000031050.00%8200002.0000000100
2Bokondji ImamaHeat (CAL)LW32461207362533.33%05418.161122500002000%121002.2000000100
3Mike HardmanHeat (CAL)LW3325-25543124825.00%16923.2821327000020150.00%431001.4300100001
4Shakir MukhamadullinHeat (CAL)D3134-40011102110.00%27525.041235900003000%000001.0600000000
5Benoit-Olivier GroulxHeat (CAL)C32130003230166.67%04214.1400001000001075.00%811001.4100000000
6Connor BrownHeat (CAL)RW3123-1003315156.67%05819.550000000000000%262001.0200000000
7William VilleneuveHeat (CAL)D3213-4002630266.67%36822.712132800000000%002000.8800000000
8Ryan SuzukiHeat (CAL)C3123-10072101710.00%16220.9501105000010057.14%2840000.9500000001
9Shai BuiumHeat (CAL)D3033275174250%16220.980000400002000%010000.9500100000
10Aku RatyHeat (CAL)RW31120007221150.00%05217.490000500000000%102000.7600000000
11Aaron NessHeat (CAL)D2011000021000%02412.460000000001000%000000.8000000000
12Dylan RoobroeckHeat (CAL)C3101-1208340325.00%05719.0900017000010050.00%1201000.3500000000
13Dylan PetersonHeat (CAL)C3000000210000%0113.70000000000000100.00%10000000000000
14Kyle BurroughsHeat (CAL)D3000295344120%06822.870000400000000%01000000010000
15Cole ClaytonHeat (CAL)D3000-100330000%14916.480000000003000%00000000000000
16Anthony RomanoHeat (CAL)C/LW/RW3000000110000%0186.04000010000000100.00%10000000000000
17Curtis DouglasHeat (CAL)C3000000100000%000.230000000000000%00000000000000
18Michael KesselringHeat (CAL)D1000020000000%099.200000000000000%00000000000000
19Nathan AspinallHeat (CAL)C/LW/RW3000-100232100%13913.190000000000000%00200000000000
Statistiques d’équipe totales ou en moyenne54152641-122715635485164917.65%1089516.59691514690000262152.14%1401812000.9200210202
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
1Erik PortilloHeat (CAL)32000.7214.6215600124325100030000
2Felix SandstromHeat (CAL)10100.8755.00240021610000003000
Statistiques d’équipe totales ou en moyenne42100.7634.671800014593510033000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aaron NessHeat (CAL)D351990-05-18USANo188 Lbs5 ft10NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$973,214$0$0$No---------------------------Lien / Lien NHL
Aku RatyHeat (CAL)RW242001-07-05FINNo190 Lbs6 ft1NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,108,000$1,078,321$0$0$No1,108,000$1,108,000$-------1,108,000$1,108,000$-------NoNo-------Lien
Anthony RomanoHeat (CAL)C/LW/RW252000-10-07ONYes185 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,320,000$1,284,643$0$0$No1,320,000$1,320,000$-------1,320,000$1,320,000$-------NoNo-------Lien
Benoit-Olivier GroulxHeat (CAL)C252000-02-06FRANo198 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,340,000$1,304,107$0$0$No1,340,000$--------1,340,000$--------No--------Lien
Bokondji ImamaHeat (CAL)LW291996-08-03CANNo221 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm914,000$889,518$0$0$No---------------------------Lien / Lien NHL
Cole ClaytonHeat (CAL)D252000-02-29ABNo198 Lbs6 ft2NoNoTrade2025-01-31NoNo32025-10-22FalseFalsePro & Farm1,336,000$1,300,214$0$0$No1,336,000$1,336,000$-------1,336,000$1,336,000$-------NoNo-------Lien
Connor BrownHeat (CAL)RW311994-01-14CANNo184 Lbs6 ft0NoNoTrade2025-09-03NoNo22024-09-16FalseFalsePro & Farm2,800,000$2,725,000$0$0$No2,800,000$--------2,800,000$--------No--------Lien / Lien NHL
Curtis DouglasHeat (CAL)C252000-03-06ONTNo242 Lbs6 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,066,000$1,037,446$0$0$No1,066,000$--------1,066,000$--------No--------Lien
Dylan PetersonHeat (CAL)C232002-01-08USAYes203 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,353,000$1,316,759$0$0$No1,353,000$1,353,000$-------1,353,000$1,353,000$-------NoNo-------Lien
Dylan RoobroeckHeat (CAL)C212004-07-27CANYes205 Lbs6 ft7NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,390,000$1,352,768$0$0$No1,390,000$1,390,000$-------1,390,000$1,390,000$-------NoNo-------Lien
Erik PortilloHeat (CAL)G252000-09-03SWEYes218 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm875,000$851,562$0$0$No---------------------------Lien
Felix SandstromHeat (CAL)G281997-01-12SWENo214 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,585,000$1,542,545$0$0$No1,585,000$--------1,585,000$--------No--------Lien
Kyle BurroughsHeat (CAL)D301995-07-12CANNo193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,555,000$2,486,562$0$0$No---------------------------Lien / Lien NHL
Luca PinelliHeat (CAL)C202005-04-05CANYes168 Lbs5 ft9NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,284,000$1,249,607$0$0$No1,284,000$1,284,000$-------1,284,000$1,284,000$-------NoNo-------Lien
Michael KesselringHeat (CAL)D252000-01-13USANo215 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,144,000$1,113,357$0$0$No1,144,000$--------1,144,000$--------No--------Lien
Mike HardmanHeat (CAL)LW261999-02-05USANo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm990,000$963,482$0$0$No---------------------------Lien
Nathan AspinallHeat (CAL)C/LW/RW192006-03-30ONYes194 Lbs6 ft7NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,269,000$1,235,009$0$0$No1,269,000$1,269,000$-------1,269,000$1,269,000$-------NoNo-------Lien
Oskar BackHeat (CAL)C252000-03-12SWEYes202 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,485,000$1,445,223$0$0$No1,485,000$1,485,000$-------1,485,000$1,485,000$-------NoNo-------Lien
Ryan SuzukiHeat (CAL)C242001-05-28CANYes196 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,243,000$1,209,705$0$0$No1,243,000$--------1,243,000$--------No--------Lien
Shai BuiumHeat (CAL)D222003-03-26USAYes210 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,287,000$1,252,527$0$0$No1,287,000$1,287,000$-------1,287,000$1,287,000$-------NoNo-------Lien
Shakir MukhamadullinHeat (CAL)D232002-01-10RUSYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,294,167$1,259,502$0$0$No---------------------------Lien
William VilleneuveHeat (CAL)D232002-03-20QUENo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm817,778$795,873$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.14201 Lbs6 ft32.091,338,907$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HardmanOskar BackConnor Brown40122
2Bokondji ImamaRyan SuzukiAku Raty30122
3Nathan AspinallDylan RoobroeckRyan Suzuki20122
4Mike HardmanBenoit-Olivier GroulxOskar Back10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinWilliam Villeneuve40122
2Kyle BurroughsShai Buium30122
3Cole ClaytonKyle Burroughs20122
4Shai BuiumKyle Burroughs10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HardmanOskar BackDylan Roobroeck60122
2Bokondji ImamaRyan SuzukiAku Raty40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinWilliam Villeneuve60122
2Kyle BurroughsShai Buium40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Oskar BackMike Hardman60122
2Ryan SuzukiBokondji Imama40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinCole Clayton60122
2Kyle BurroughsShai Buium40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oskar Back60122Shakir MukhamadullinWilliam Villeneuve60122
2Ryan Suzuki40122Kyle BurroughsShai Buium40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oskar BackMike Hardman60122
2Ryan SuzukiBokondji Imama40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole ClaytonShakir Mukhamadullin60122
2Kyle BurroughsShai Buium40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HardmanOskar BackConnor BrownShakir MukhamadullinKyle Burroughs
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HardmanOskar BackConnor BrownShakir MukhamadullinKyle Burroughs
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Roobroeck, Benoit-Olivier Groulx, Bokondji ImamaDylan Roobroeck, Benoit-Olivier GroulxDylan Roobroeck
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Burroughs, Shai Buium, Cole ClaytonKyle BurroughsKyle Burroughs, Shai Buium
Tirs de pénalité
Bokondji Imama, Oskar Back, Mike Hardman, Ryan Suzuki, Dylan Roobroeck
Gardien
#1 : Erik Portillo, #2 : Felix Sandstrom


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
TotalDomicileVisiteur
# 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
1Admirals1010000056-1000000000001010000056-100.000591400356128241940231816247342.86%3233.33%0285154.90%164040.00%294761.70%572350307338
2Checkers10001000541000000000001000100054121.00059140035612024194021312182150.00%10100.00%0285154.90%164040.00%294761.70%572350307338
3Penguins11000000541110000005410000000000021.000581300356137241940215192122100.00%2150.00%0285154.90%164040.00%294761.70%572350307338
Total311010001514111000000541201010001010040.6671526410035618524194025910276311654.55%6350.00%0285154.90%164040.00%294761.70%572350307338
_Since Last GM Reset311010001514111000000541201010001010040.6671526410035618524194025910276311654.55%6350.00%0285154.90%164040.00%294761.70%572350307338
_Vs Conference311010001514111000000541201010001010040.6671526410035618524194025910276311654.55%6350.00%0285154.90%164040.00%294761.70%572350307338
_Vs Division11101000541110000005410010100000042.000581300356137241940215192122100.00%2150.00%0285154.90%164040.00%294761.70%572350307338

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
34W2152641855910276300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
31110001514
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000054
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
20110001010
Derniers 10 matchs
WLOTWOTL SOWSOL
210000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11654.55%6350.00%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
24194023561
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
285154.90%164040.00%294761.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
572350307338


Derniers matchs 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
17Heat5Admirals6LSommaire du match
217Heat5Checkers4WXSommaire du match
331Penguins4Heat5WSommaire du match
550Eagles-Heat-
666Heat-Moose-
881Heat-Americans-
990Moose-Heat-
10114Condors-Heat-
11129Heat-Moose-
12143Comets-Heat-
13150Heat-Penguins-
15176Stars-Heat-
16191Heat-Checkers-
17202Americans-Heat-
18220Roadrunners-Heat-
20241Heat-Stars-
21255Penguins-Heat-
23268Heat-Marlies-
24281Heat-Eagles-
25292Heat-Phantoms-
26307Senators-Heat-
28329Phantoms-Heat-
29342Heat-Bears-
30352Heat-Monsters-
31370Crunch-Heat-
32391Islanders-Heat-
34411Condors-Heat-
35425Heat-Reign-
36440Heat-Wild-
37453Heat-Stars-
38463Thunderbirds-Heat-
40486Barracuda-Heat-
41497Heat-Penguins-
42515Griffins-Heat-
43528Heat-Americans-
44547Heat-Americans-
45559Silver Knights-Heat-
46574Heat-Silver Knights-
47589Canucks-Heat-
48606Heat-Admirals-
49619Penguins-Heat-
50638Heat-Penguins-
51648Admirals-Heat-
52662Heat-Crunch-
53676Heat-Canucks-
54688Reign-Heat-
55709Eagles-Heat-
57726Heat-Admirals-
58738IceHogs-Heat-
59761Admirals-Heat-
61777Heat-Eagles-
62790Heat-Checkers-
63803Monsters-Heat-
65822Heat-IceHogs-
66832Wolf Pack-Heat-
67848Heat-Thunderbirds-
68860Heat-Condors-
69869Wild-Heat-
71893Marlies-Heat-
72910Heat-Senators-
74924Wolves-Heat-
75937Heat-Wolf Pack-
76954Moose-Heat-
78974Heat-Griffins-
79985Moose-Heat-
811005Rocket-Heat-
821015Heat-Gulls-
831029Heat-Moose-
851047Bears-Heat-
861070Stars-Heat-
871079Heat-Rocket-
881095Heat-Roadrunners-
901110Bruins-Heat-
911122Heat-Bruins-
921142Checkers-Heat-
941165Gulls-Heat-
961178Heat-Barracuda-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971195Heat-Wolves-
981200Comets-Heat-
1001227Eagles-Heat-
1011236Heat-Islanders-
1031257Americans-Heat-
1041270Heat-Islanders-
1061292Stars-Heat-
1071299Heat-Comets-
1101326Checkers-Heat-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance1,025500
Assistance PCT51.25%50.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 1525 - 50.83% 98,712$98,712$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
105,687$ 2,945,595$ 2,945,595$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
26,300$ 78,900$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,145,904$ 109 35,229$ 3,839,961$




Heat Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Heat Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Heat Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Heat Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Heat Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA