Connexion

Stockton Heat
GP: 9 | W: 4 | L: 5
GF: 29 | GA: 31 | PP%: 16.67% | PK%: 57.14%
DG: Kameron Seguin | Morale : 51 | Moyenne d’équipe : 59
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Centre de jeu
Utica Comets
8-4-0, 16pts
4
FINAL
2 Stockton Heat
4-5-0, 8pts
Team Stats
L3SéquenceL3
4-2-0Fiche domicile1-3-0
4-2-0Fiche domicile3-2-0
6-3-1Derniers 10 matchs4-4-1
3.25Buts par match 3.22
2.42Buts contre par match 3.44
33.33%Pourcentage en avantage numérique16.67%
100.00%Pourcentage en désavantage numérique57.14%
Utica Comets
8-4-0, 16pts
6
FINAL
2 Stockton Heat
4-5-0, 8pts
Team Stats
L3SéquenceL3
4-2-0Fiche domicile1-3-0
4-2-0Fiche domicile3-2-0
6-3-1Derniers 10 matchs4-4-1
3.25Buts par match 3.22
2.42Buts contre par match 3.44
33.33%Pourcentage en avantage numérique16.67%
100.00%Pourcentage en désavantage numérique57.14%
Meneurs d'équipe
Buts
Rocco Grimaldi
5
Passes
Drake Caggiula
7
Points
Drake Caggiula
10
Lane PedersonPlus/Moins
Lane Pederson
6
Victoires
Tyler Wall
4
Pourcentage d’arrêts
Tyler Wall
0.889

Statistiques d’équipe
Buts pour
29
3.22 GFG
Tirs pour
291
32.33 Avg
Pourcentage en avantage numérique
16.7%
2 GF
Début de zone offensive
38.5%
Buts contre
31
3.44 GAA
Tirs contre
280
31.11 Avg
Pourcentage en désavantage numérique
57.1%%
6 GA
Début de la zone défensive
33.7%
Informations de l'équipe

Directeur généralKameron Seguin
DivisionNorth Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro39
Équipe Mineure19
Limite contact 58 / 65
Espoirs44


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
1Philip Tomasino0X100.00654385777784707454746767735750076670223863,333$
2Max Jones0X100.007163647287827973476766667169590766602521,295,000$
3Lane Pederson (R)0X100.00735771737981696869636265675952075640264775,000$
4Mathieu Olivier (R)0X100.007678596880787669476561656761540776302641,100,000$
5Martin Kaut (R)0X100.00644576747776696841626364686154079630241863,333$
6Maxim Mamin0XX100.00704386836881875955546455556868077620281850,000$
7Drake Caggiula0XX100.00554768726173706743646259676555073610291775,000$
8Rocco Grimaldi0X100.005347677255717168456565586864540756103011,000,000$
9Matthew Phillips (R)0XX100.00554373755265656845666667705350077610251775,000$
10Buddy Robinson0X100.006752645978727263415956625969590775903211,000,000$
11Anton Blidh0X100.00624463686671706441595960646355077590281775,000$
12Nate Thompson0XX100.00575063606667675961545457588070078570391800,000$
13Dominik Bokk (R)0X100.00553575786068684947555354526048077560234863,333$
14Luka Burzan (R)0X100.00604068626359585647545454575150077540242775,000$
15Tyler Soy (R)0X100.00613575745566654752544954496048077540262775,000$
16Nicholas Porco (R)0X100.00633575725867705251534752476048077540222775,000$
17Gabriel Gagne (R)0X100.00533575775465674852485055466048067540271775,000$
18Aleksi Saarela (R)0XX100.00623575786065704951504553456048067540261850,000$
19Jakub Galvas0X100.00503595824767705740405079405567078620242867,500$
20Keaton Middleton (R)0X100.00706953587666666340605369585350076600252775,000$
21Noah Juulsen0X100.00625463676566656140605466615450073590261775,000$
22Alexander Alexeyev (R)0X100.00503560826967655740405061405557077580241863,333$
23Olli Juolevi0X100.00554371676767626140595459615550078570251775,000$
24Taylor Chorney0X100.00643575736165605551485551407358079560363775,000$
Rayé
1Antoine Morand (R)0X100.00603575705870675147455550466048021530242778,333$
2Adam Gilmour0X100.00565555555859605550555555555050021530291775,000$
3Joe Colborne0XX100.00533575716167685555464646556048021520333775,000$
4Patrick Shea0X100.00555555555555555555555555555555021520261775,000$
5Colin Smith0X100.006535757054657048544949494960480215203041,500,000$
6Marc Del Gaizo (R)0X100.00585566716365646440625566635150051600242850,833$
7Daniil Chayka (R)0X100.00584071626457575940545454595050021540263847,500$
8Cameron York (R)0X100.00555555555555555555555555555555021520231880,833$
9Joe Sova0X100.00433577627549414730434854456254021510351800,000$
MOYENNE D’ÉQUIPE100.0060457070646866594756555957605306258
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
1Scott Darling0100.0075757585866667716966486671078710351800,000$
2Tyler Wall (R)0100.0075757584866767687066457473074710251775,000$
Rayé
1Henrik Karlsson0100.0075757578826769727265487471026710401800,000$
2Zane McIntyre0100.0073707366717172697173696457026670311800,000$
3David Tendeck (R)0100.0063575760605959576160555150026570242783,333$
4Joel Daccord (R)0100.0055555555555555555555555555026540271775,000$
MOYENNE D’ÉQUIPE100.006968687173646565666453646304365
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Drake CaggiulaStockton Heat (CGY)C/LW9371002420131124111512.50%517319.3111229011080043.15%24166001.1500022011
2Max JonesStockton Heat (CGY)LW94610620111031111512.90%112714.1600000000000053.19%4756001.5700000200
3Rocco GrimaldiStockton Heat (CGY)C9549-22022154381411.63%620823.1510139000020156.41%3992000.8600000200
4Martin KautStockton Heat (CGY)RW945960019324111916.67%112614.0600000000001033.33%671001.4200000011
5Maxim MaminStockton Heat (CGY)LW/RW93580201082861910.71%518820.93011081011101050.00%24117000.8500000011
6Lane PedersonStockton Heat (CGY)C942662410237151826.67%012513.9700000000001075.00%400000.9500011010
7Philip TomasinoStockton Heat (CGY)C9235-3001394312164.65%216818.6900029000020046.15%13141000.5900000000
8Noah JuulsenStockton Heat (CGY)D9055140141313570%1324327.0200001100009000%0317000.4100000000
9Mathieu OlivierStockton Heat (CGY)RW9224-324102021213139.52%214816.5400000000001054.74%9554000.5400011000
10Taylor ChorneyStockton Heat (CGY)D9022-12010137210%417819.800001800007000%014000.2200000000
11Nate ThompsonStockton Heat (CGY)C/LW9112-355211312358.33%316518.3400008000020033.33%941000.2400001000
12Keaton MiddletonStockton Heat (CGY)D9022110101696110%914516.170000000000000%023000.2700110000
13Alexander AlexeyevStockton Heat (CGY)D9011020785640%1018220.310000800009000%017000.1100000000
14Olli JuoleviStockton Heat (CGY)D90112001114115100%1921824.30000111000010000%018000.0900000000
15Dominik BokkStockton Heat (CGY)RW9101-1206453220.00%0637.0600000000000033.33%311000.3100000000
16Jakub GalvasStockton Heat (CGY)D9011100182230%312213.590000000000000%013000.1600000000
17Buddy RobinsonStockton Heat (CGY)RW9000000200000%091.010000100000000%00000000000000
18Anton BlidhStockton Heat (CGY)LW9000000000000%0101.170000200004000%00000000000000
19Luka BurzanStockton Heat (CGY)C9000000000000%030.370000100000000%00000000000000
20Tyler SoyStockton Heat (CGY)C9000000530000%1444.9100009000050040.00%200000000000000
21Nicholas PorcoStockton Heat (CGY)LW9000-100241100%1637.090000000000000%01000000000000
Statistiques d’équipe totales ou en moyenne189294776910355226173291911529.97%85271714.3822491011121754147.50%5017271000.5600155443
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
1Tyler WallStockton Heat (CGY)94410.8893.405470131280150100090001
Statistiques d’équipe totales ou en moyenne94410.8893.40547013128015010090001


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 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 Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Adam GilmourStockton Heat (CGY)LW291/29/1994No192 Lbs6 ft4NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Aleksi SaarelaStockton Heat (CGY)C/LW261/7/1997Yes200 Lbs5 ft11NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------Lien
Alexander AlexeyevStockton Heat (CGY)D2411/15/1999Yes210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------Lien / Lien NHL
Antoine MorandStockton Heat (CGY)C242/18/1999Yes184 Lbs5 ft11NoNoN/ANoNo2Pro & Farm778,333$0$0$No778,333$--------No--------Lien
Anton BlidhStockton Heat (CGY)LW283/14/1995No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Buddy RobinsonStockton Heat (CGY)RW329/30/1991No231 Lbs6 ft6NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------
Cameron YorkStockton Heat (CGY)D231/5/2001 3:13:22 AMYes175 Lbs5 ft11NoNoN/ANoNo1Pro & Farm880,833$0$0$No------------------
Colin SmithStockton Heat (CGY)C306/20/1993No175 Lbs5 ft10NoNoN/ANoNo4Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$------NoNoNo------Lien
Daniil ChaykaStockton Heat (CGY)D268/8/1997Yes187 Lbs6 ft3NoNoN/ANoNo3Pro & Farm847,500$0$0$No847,500$847,500$-------NoNo-------
David TendeckStockton Heat (CGY)G2411/25/1999Yes172 Lbs6 ft1NoNoN/ANoNo2Pro & Farm783,333$0$0$No783,333$--------No--------
Dominik BokkStockton Heat (CGY)RW232/3/2000Yes181 Lbs6 ft2NoNoN/ANoNo4Pro & Farm863,333$0$0$No863,333$863,333$863,333$------NoNoNo------Lien
Drake CaggiulaStockton Heat (CGY)C/LW296/20/1994No176 Lbs5 ft10NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Gabriel GagneStockton Heat (CGY)RW2711/11/1996Yes186 Lbs5 ft4NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Henrik KarlssonStockton Heat (CGY)G4011/27/1983No209 Lbs6 ft6NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Jakub GalvasStockton Heat (CGY)D246/15/1999No161 Lbs5 ft11NoNoN/ANoNo2Pro & Farm867,500$0$0$No867,500$--------No--------Lien
Joe ColborneStockton Heat (CGY)C/LW331/30/1990No221 Lbs6 ft5NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien
Joe SovaStockton Heat (CGY)D355/8/1988No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Joel DaccordStockton Heat (CGY)G278/19/1996 3:31:39 AMYes197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Keaton MiddletonStockton Heat (CGY)D252/10/1998Yes240 Lbs6 ft6NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Lane PedersonStockton Heat (CGY)C268/4/1997Yes192 Lbs6 ft0NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------Lien NHL
Luka BurzanStockton Heat (CGY)C241/7/2000Yes185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Marc Del GaizoStockton Heat (CGY)D2410/11/1999Yes187 Lbs5 ft10NoNoN/ANoNo2Pro & Farm850,833$0$0$No850,833$--------No--------
Martin KautStockton Heat (CGY)RW2410/2/1999Yes190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------
Mathieu OlivierStockton Heat (CGY)RW262/11/1997Yes217 Lbs6 ft1NoNoN/ANoNo4Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$1,100,000$------NoNoNo------Lien NHL
Matthew PhillipsStockton Heat (CGY)C/RW254/6/1998Yes141 Lbs5 ft7NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Max JonesStockton Heat (CGY)LW252/17/1998No216 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,295,000$0$0$No1,295,000$--------No--------Lien NHL
Maxim MaminStockton Heat (CGY)LW/RW281/13/1995No206 Lbs6 ft2NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------Lien
Nate ThompsonStockton Heat (CGY)C/LW3910/5/1984No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------
Nicholas PorcoStockton Heat (CGY)LW223/12/2001Yes180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Noah JuulsenStockton Heat (CGY)D264/2/1997No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien NHL
Olli JuoleviStockton Heat (CGY)D255/5/1998No183 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Patrick SheaStockton Heat (CGY)C263/25/1997 3:21:14 AMNo186 Lbs5 ft10NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Philip TomasinoStockton Heat (CGY)C227/28/2001No179 Lbs6 ft0NoNoN/ANoNo3Pro & Farm863,333$0$0$No863,333$863,333$-------NoNo-------Lien NHL
Rocco GrimaldiStockton Heat (CGY)C302/8/1993No181 Lbs5 ft6NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------
Scott DarlingStockton Heat (CGY)G3512/22/1988No226 Lbs6 ft6NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Taylor ChorneyStockton Heat (CGY)D364/26/1987No193 Lbs6 ft0NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien
Tyler SoyStockton Heat (CGY)C262/10/1997Yes170 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Tyler WallStockton Heat (CGY)G251/14/1998Yes214 Lbs6 ft3NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Zane McIntyreStockton Heat (CGY)G318/20/1992No205 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3927.54193 Lbs6 ft11.74852,094$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxim MaminDrake CaggiulaRocco Grimaldi40122
2Nate ThompsonMathieu OlivierPhilip Tomasino30122
3Lane PedersonMax JonesMartin Kaut20122
4Nicholas PorcoRocco GrimaldiDominik Bokk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenOlli Juolevi40122
2Alexander AlexeyevTaylor Chorney30122
3Jakub GalvasKeaton Middleton20122
4Keaton MiddletonNoah Juulsen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxim MaminDrake CaggiulaRocco Grimaldi60122
2Nate ThompsonPhilip TomasinoTyler Soy40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenOlli Juolevi60122
2Alexander AlexeyevTaylor Chorney40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Drake CaggiulaMaxim Mamin60122
2Nate ThompsonRocco Grimaldi40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenOlli Juolevi60122
2Alexander AlexeyevTaylor Chorney40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Drake Caggiula60122Noah JuulsenOlli Juolevi60122
2Maxim Mamin40122Alexander AlexeyevTaylor Chorney40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Drake CaggiulaMaxim Mamin60122
2Nate ThompsonRocco Grimaldi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenOlli Juolevi60122
2Alexander AlexeyevTaylor Chorney40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxim MaminDrake CaggiulaPhilip TomasinoNoah JuulsenOlli Juolevi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxim MaminDrake CaggiulaPhilip TomasinoNoah JuulsenOlli Juolevi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxim Mamin, Drake Caggiula, Tyler SoyMaxim Mamin, Drake CaggiulaTyler Soy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Juulsen, Olli Juolevi, Alexander AlexeyevNoah JuulsenOlli Juolevi, Noah Juulsen
Tirs de pénalité
Drake Caggiula, Maxim Mamin, Rocco Grimaldi, Tyler Soy, Nate Thompson
Gardien
#1 : Tyler Wall, #2 : Scott Darling
Lignes d’attaque personnalisées en prolongation
Drake Caggiula, Maxim Mamin, Tyler Soy, Philip Tomasino, Nate Thompson, Max Jones, Max Jones, Rocco Grimaldi, Lane Pederson, Martin Kaut, Dominik Bokk
Lignes de défense personnalisées en prolongation
Noah Juulsen, Olli Juolevi, Alexander Alexeyev, Taylor Chorney, Jakub Galvas


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
1Texas Stars54100000231582110000067-133000000178980.800233760016121011599911473513745441339222.22%7357.14%19719350.26%8116947.93%6013943.17%1911051808517585
2Utica Comets40400000616-1020200000410-62020000026-400.000610160061210113299114735143405993300.00%7357.14%09719350.26%8116947.93%6013943.17%1911051808517585
Total945000002931-2413000001017-7532000001914580.44429477601612101291991147352808510322612216.67%14657.14%19719350.26%8116947.93%6013943.17%1911051808517585
_Since Last GM Reset945000002931-2413000001017-7532000001914580.44429477601612101291991147352808510322612216.67%14657.14%19719350.26%8116947.93%6013943.17%1911051808517585
_Vs Conference945000002931-2413000001017-7532000001914580.44429477601612101291991147352808510322612216.67%14657.14%19719350.26%8116947.93%6013943.17%1911051808517585
_Vs Division40400000616-1020200000410-62020000026-400.000610160061210113299114735143405993300.00%7357.14%09719350.26%8116947.93%6013943.17%1911051808517585

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
98L32947762912808510322601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
94500002931
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001017
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200001914
Derniers 10 matchs
WLOTWOTL SOWSOL
440100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
12216.67%14657.14%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
99114735612101
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
9719350.26%8116947.93%6013943.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1911051808517585


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
18Stockton Heat4Texas Stars0AWSommaire du match
216Stockton Heat6Texas Stars5AWSommaire du match
324Texas Stars4Stockton Heat5BWXSommaire du match
432Texas Stars3Stockton Heat1BLSommaire du match
540Stockton Heat7Texas Stars3AWSommaire du match
859Stockton Heat2Utica Comets3ALXSommaire du match
963Stockton Heat0Utica Comets3ALSommaire du match
1067Utica Comets4Stockton Heat2BLSommaire du match
1171Utica Comets6Stockton Heat2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3415
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,323,164$ 3,290,664$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Stockton 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

Stockton 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

Stockton 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

Stockton 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

Stockton 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