Connexion

Stockton Heat
GP: 56 | W: 26 | L: 25 | OTL: 5 | P: 57
GF: 158 | GA: 169 | PP%: 25.00% | PK%: 68.22%
DG: Nimporte Qui | Morale : 38 | Moyenne d’équipe : 63
Prochains matchs #933 vs Springfield Thunderbirds
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Centre de jeu
Stockton Heat
26-25-5, 57pts
1
FINAL
2 Palm Springs
33-19-2, 68pts
Team Stats
W1SéquenceL1
13-14-2Fiche domicile22-6-1
13-11-3Fiche domicile11-13-1
4-5-1Derniers 10 matchs8-2-0
2.82Buts par match 3.22
3.02Buts contre par match 2.93
25.00%Pourcentage en avantage numérique26.81%
68.22%Pourcentage en désavantage numérique80.00%
Springfield Thunderbirds
33-18-8, 74pts
1
FINAL
3 Stockton Heat
26-25-5, 57pts
Team Stats
W1SéquenceW1
16-11-2Fiche domicile13-14-2
17-7-6Fiche domicile13-11-3
7-2-1Derniers 10 matchs4-5-1
3.27Buts par match 2.82
2.92Buts contre par match 3.02
27.15%Pourcentage en avantage numérique25.00%
75.89%Pourcentage en désavantage numérique68.22%
Springfield Thunderbirds
33-18-8, 74pts
Jour 177
Stockton Heat
26-25-5, 57pts
Statistiques d’équipe
W1SéquenceW1
16-11-2Fiche domicile13-14-2
17-7-6Fiche visiteur13-11-3
7-2-110 derniers matchs4-5-1
3.27Buts par match 2.82
2.92Buts contre par match 2.82
27.15%Pourcentage en avantage numérique25.00%
75.89%Pourcentage en désavantage numérique68.22%
Stockton Heat
26-25-5, 57pts
Jour 182
Texas Stars
25-27-7, 57pts
Statistiques d’équipe
W1SéquenceW1
13-14-2Fiche domicile14-9-6
13-11-3Fiche visiteur11-18-1
4-5-110 derniers matchs4-5-1
2.82Buts par match 3.08
3.02Buts contre par match 3.08
25.00%Pourcentage en avantage numérique27.40%
68.22%Pourcentage en désavantage numérique74.05%
San Diego Gulls
39-13-8, 86pts
Jour 184
Stockton Heat
26-25-5, 57pts
Statistiques d’équipe
W2SéquenceW1
17-7-5Fiche domicile13-14-2
22-6-3Fiche visiteur13-11-3
7-3-010 derniers matchs4-5-1
3.42Buts par match 2.82
2.60Buts contre par match 2.82
29.80%Pourcentage en avantage numérique25.00%
77.88%Pourcentage en désavantage numérique68.22%
Meneurs d'équipe
Buts
Anders Bjork
27
Passes
Matthew Phillips
32
Points
Anders Bjork
54
Plus/Moins
Anders Bjork
18
Victoires
Victor Brattstrom
25
Pourcentage d’arrêts
Filip Lindberg
0.918

Statistiques d’équipe
Buts pour
158
2.82 GFG
Tirs pour
1543
27.55 Avg
Pourcentage en avantage numérique
25.0%
28 GF
Début de zone offensive
36.5%
Buts contre
169
3.02 GAA
Tirs contre
1717
30.66 Avg
Pourcentage en désavantage numérique
68.2%%
41 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralNimporte Qui
EntraîneurJohn Hynes
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 100
Espoirs37


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 moyen
1Matthew Phillips0XX100.005538876861898471747063606268665872650261750,000$
2Anders Bjork 0XXX100.0066409566748181666664676662616157726502741,000,000$
3Miles Wood0X100.007044717380807467576365596776715241650283750,000$
4Damien Giroux0X100.006960896769838165676460686065657338640243800,000$
5Marat Khusnutdinov (R)0XXX100.006550707075747568606261646455608839632213925,000$
6Joseph Gambardella0X100.005442906270848361716262596177715450620301750,000$
7Alex Olivier Voyer0XX100.008855896383787857535857525859486256600251750,000$
8Gabriel Fortier (R)0X100.0072367862707980605559605560646464506002421,000,000$
9Carsen Twarynski (R)0X100.0070437258837287535152545858716853525922641,000,000$
10Michael Milne (R)0X100.005960786262757859505960576062627548590212861,667$
11Jonathan Gruden (R)0XX100.006552716369778459655857575561586252590232800,000$
12Joe Pendenza0X100.0049897166715050647056565457515135505603310$
13Riley Stillman 0X100.0080458064847981633068547360535270556602611,000,000$
14Jakub Zboril 0X100.0073378267788465673066557051716877516622741,000,000$
15Lassi Thomson (R)0X100.0065377166728482633063576555666670586522321,000,000$
16Spencer Stastney (R)0X100.005930796572827863306562725563435253640241925,000$
17Mac Hollowell (R)0X100.0060447567637972633060586146676654496202521,000,000$
18Ryan ORourke (R)0X100.0057377864647977553057586460656562526102121,000,000$
19Adam Wilsby (R)0X100.006535785769627055305451595662426453570231842,500$
Rayé
1Otto Koivula0X100.007966906394758265606358616068675451641252750,000$
2Vasili Podkolzin 0XXX100.006740707077808864526263606755509054632221925,000$
3Vitali Kravtsov (R)0X100.006036776982786764556060656463627556620241925,000$
MOYENNE D’ÉQUIPE100.00664679657477776251615962596460645262
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 moyen
1Victor Brattstrom0100.00687170866868696868646567427275670272750,000$
2Filip Lindberg (R)0100.00707272706769696867646665557071660251833,000$
Rayé
1Dryden McKay (R)0100.00677070716665676770707265658025660261750,000$
MOYENNE D’ÉQUIPE100.0068717176676768686866686654745766
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes89868478727867USA4812,200,000$


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
1Anders Bjork Stockton Heat (CGY)C/LW/RW56272754180049641844912114.67%23113320.24481218811128855147.92%483220000.9501000442
2Matthew PhillipsStockton Heat (CGY)LW/RW5619325161557175249781337.63%27127422.7654931890005634150.39%5085416200.8000100237
3Joseph GambardellaStockton Heat (CGY)C56231942101153777132278817.42%26107619.2261714581014444053.54%6781617000.7813010250
4Otto KoivulaStockton Heat (CGY)LW53112637-13620645712149759.09%23118522.372578620001412251.82%1373518000.6201112113
5Miles WoodStockton Heat (CGY)LW421216281235484112626599.52%1769916.6602214530113291143.06%5621211000.8000001113
6Vitali KravtsovStockton Heat (CGY)RW5311152614335644688255912.50%1494617.863581059000001439.42%1371815000.5500000203
7Alex Olivier VoyerStockton Heat (CGY)LW/RW5661622-15241050448534247.06%1488915.890000150000461029.41%341616000.4912002112
8Michael MilneStockton Heat (CGY)LW4913922-141810575482215615.85%1387017.762139600003323137.93%2321220000.5112011211
9Gabriel FortierStockton Heat (CGY)LW5610919-16155444392315110.87%2075513.50101314000000140.00%151313000.5004010102
10Vasili Podkolzin Stockton Heat (CGY)C/LW/RW3851217-324045556017438.33%2063116.62000070001200144.11%399177000.5400000020
11Jakub Zboril Stockton Heat (CGY)D4911415520037524915312.04%56102520.94112243000062000%01030000.2901000010
12Riley Stillman Stockton Heat (CGY)D4301111610033352913150%4168816.02033332000022000%0817000.3200000000
13Adam WilsbyStockton Heat (CGY)D56279-152152340266137.69%4184915.17156969000068000%0419000.2100001000
14Spencer StastneyStockton Heat (CGY)D56189-524026474014142.50%63107619.23011264000076000%01337000.1700000000
15Andrew NielsenCalgary FlamesD1726892210122125578.00%1432719.2401112800009000%0412000.4900001000
16Lassi ThomsonStockton Heat (CGY)D56077621535383718150%3687815.69000224000033000%0913000.1600100000
17Ryan ORourkeStockton Heat (CGY)D56257-14802241281497.14%5489816.042248800112110000%0618000.1600000000
18Vincent IorioCalgary FlamesD3615643152329211094.76%2649413.7300017000012100%0614000.2400010000
19Logan CooleyCalgary FlamesC16415-10013133041013.33%418111.34101490000150143.17%13964000.5500000101
20Damien GirouxStockton Heat (CGY)C6213-1000382025.00%16310.5901118000001047.37%3801000.9400000001
21Marat KhusnutdinovStockton Heat (CGY)C/LW/RW51231005341425.00%55511.010000100000000%200001.0900000100
22Mac HollowellStockton Heat (CGY)D5221302001525265127.69%2555710.720000000000000%0710000.1100000001
23Carsen TwarynskiStockton Heat (CGY)LW56000-100520000%11272.270000300008000%10200000000000
24Joe PendenzaStockton Heat (CGY)C54000000021000%0520.9700000000040058.33%120000000000000
25Jonathan GrudenStockton Heat (CGY)C/LW56000000000000%060.120000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1129155249404-637690778907154346484810.05%5641674614.8328406814087723527788231346.70%2942298330200.48314358181926
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
1Victor BrattstromStockton Heat (CGY)54252350.9023.003185611591619886310.78614540553
2Filip LindbergStockton Heat (CGY)51200.9182.2121721897511000254010
Statistiques d’équipe totales ou en moyenne59262550.9032.94340382167171693741145654563


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 Salaire restantSalaire moyenSalaire moyen restantPlafond 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 WilsbyStockton Heat (CGY)D232000-08-07 06:55:22Yes183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm842,500$209,721$842,500$209,721$0$0$No------------------
Alex Olivier VoyerStockton Heat (CGY)LW/RW251999-04-10 08:32:26No238 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$186,695$750,000$186,695$0$0$No------------------
Anders Bjork Stockton Heat (CGY)C/LW/RW271996-08-05 00:57:50No190 Lbs6 ft0NoNoN/ANoNo4Pro & Farm1,000,000$248,927$1,000,000$248,927$0$0$No1,000,000$1,000,000$1,000,000$------NoNoNo------Lien
Carsen TwarynskiStockton Heat (CGY)LW261997-11-24Yes198 Lbs6 ft0NoNoN/ANoNo4Pro & Farm1,000,000$248,927$1,000,000$248,927$0$0$No1,000,000$1,000,000$1,000,000$------NoNoNo------Lien
Damien GirouxStockton Heat (CGY)C242000-03-03 05:53:36No179 Lbs5 ft9NoNoN/ANoNo3Pro & Farm800,000$199,142$800,000$199,142$0$0$No800,000$800,000$-------NoNo-------
Dryden McKayStockton Heat (CGY)G261997-11-25 08:31:44Yes175 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$186,695$750,000$186,695$0$0$No------------------
Filip LindbergStockton Heat (CGY)G251999-01-31 04:38:35Yes188 Lbs6 ft0NoNoN/ANoNo1Pro & Farm833,000$207,356$833,000$207,356$0$0$No------------------
Gabriel FortierStockton Heat (CGY)LW242000-02-06 08:35:21Yes174 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,000,000$248,927$1,000,000$248,927$0$0$No1,000,000$--------No--------
Jakub Zboril Stockton Heat (CGY)D271997-02-21 02:02:48No201 Lbs6 ft0NoNoN/ANoYes4Farm Only1,000,000$248,927$1,000,000$248,927$0$0$No1,000,000$1,000,000$1,000,000$------NoNoNo------Lien
Joe PendenzaStockton Heat (CGY)C331990-11-22No194 Lbs5 ft11NoNoN/ANoNo1Pro & Farm0$0$No------------------Lien
Jonathan GrudenStockton Heat (CGY)C/LW232000-05-04 08:37:48Yes172 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$199,142$800,000$199,142$0$0$No800,000$--------No--------
Joseph GambardellaStockton Heat (CGY)C301993-12-01No196 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$186,695$750,000$186,695$0$0$No------------------Lien
Lassi ThomsonStockton Heat (CGY)D232000-09-24 08:39:45Yes190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$248,927$1,000,000$248,927$0$0$No1,000,000$--------No--------
Mac HollowellStockton Heat (CGY)D251998-09-26Yes170 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,000,000$248,927$1,000,000$248,927$0$0$No1,000,000$--------No--------
Marat KhusnutdinovStockton Heat (CGY)C/LW/RW212002-07-17 05:35:32Yes165 Lbs5 ft8NoNoDraftNoNo32024-03-26Pro & Farm925,000$230,258$925,000$230,258$0$0$No925,000$925,000$-------NoNo-------Lien
Matthew PhillipsStockton Heat (CGY)LW/RW261998-04-06No140 Lbs5 ft7NoNoN/ANoNo1Pro & Farm750,000$186,695$750,000$186,695$0$0$No------------------Lien
Michael MilneStockton Heat (CGY)LW212002-09-21 14:16:04Yes185 Lbs5 ft10NoNoN/ANoNo2Pro & Farm861,667$214,492$861,667$214,492$0$0$No861,667$--------No--------
Miles WoodStockton Heat (CGY)LW281995-09-13No195 Lbs6 ft2NoNoN/ANoNo3Pro & Farm750,000$186,695$750,000$186,695$0$0$No750,000$750,000$-------NoNo-------Lien
Otto KoivulaStockton Heat (CGY)LW251998-09-01No223 Lbs6 ft4NoNoN/ANoNo2Pro & Farm750,000$186,695$750,000$186,695$0$0$No750,000$--------No--------Lien
Riley Stillman Stockton Heat (CGY)D261998-03-09 02:19:20No196 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,000,000$248,927$1,000,000$248,927$0$0$No------------------
Ryan ORourkeStockton Heat (CGY)D212002-05-16 08:43:59Yes178 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$248,927$1,000,000$248,927$0$0$No1,000,000$--------No--------
Spencer StastneyStockton Heat (CGY)D242000-01-04 06:59:54Yes180 Lbs5 ft10NoNoDraftNoNo1Pro & Farm925,000$230,258$925,000$230,258$0$0$No------------------Lien
Vasili Podkolzin Stockton Heat (CGY)C/LW/RW222001-06-24 01:50:44No190 Lbs6 ft11NoNoN/ANoNo1Pro & Farm925,000$230,258$925,000$230,258$0$0$No------------------
Victor BrattstromStockton Heat (CGY)G271997-03-22 07:01:02No200 Lbs6 ft5NoNoN/ANoNo2Pro & Farm750,000$186,695$750,000$186,695$0$0$No750,000$--------No--------
Vitali KravtsovStockton Heat (CGY)RW241999-12-23 14:18:33Yes186 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$230,258$925,000$230,258$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.04187 Lbs6 ft01.92843,487$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PhillipsDamien GirouxMarat Khusnutdinov30122
2Michael MilneJoseph GambardellaAnders Bjork 30122
3Gabriel FortierMiles WoodAlex Olivier Voyer20122
4Anders Bjork Miles WoodMatthew Phillips20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mac HollowellRiley Stillman 30122
2Jakub Zboril Spencer Stastney30122
3Ryan ORourkeAdam Wilsby20122
4Spencer StastneyLassi Thomson20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PhillipsAlex Olivier VoyerMiles Wood60122
2Gabriel FortierDamien GirouxAnders Bjork 40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyRyan ORourke60122
2Jakub Zboril Spencer Stastney40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Miles WoodAnders Bjork 60122
2Matthew PhillipsGabriel Fortier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyRyan ORourke60122
2Spencer StastneyRiley Stillman 40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anders Bjork 60122Jakub Zboril Spencer Stastney60122
2Matthew Phillips40122Adam WilsbyRyan ORourke40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Miles WoodMatthew Phillips60122
2Anders Bjork Gabriel Fortier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Riley Stillman Spencer Stastney60122
2Ryan ORourkeAdam Wilsby40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PhillipsMiles WoodAnders Bjork Riley Stillman Jakub Zboril
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PhillipsMiles WoodAnders Bjork Riley Stillman Jakub Zboril
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Phillips, Miles Wood, Anders Bjork Matthew Phillips, Anders Bjork Anders Bjork
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan ORourke, Spencer Stastney, Adam WilsbySpencer StastneySpencer Stastney, Ryan ORourke
Tirs de pénalité
Matthew Phillips, Gabriel Fortier, Anders Bjork , Alex Olivier Voyer, Miles Wood
Gardien
#1 : Victor Brattstrom, #2 : Filip Lindberg
Lignes d’attaque personnalisées en prolongation
Miles Wood, Joseph Gambardella, Gabriel Fortier, Marat Khusnutdinov, Matthew Phillips, Anders Bjork , Anders Bjork , Michael Milne, Damien Giroux, Jonathan Gruden, Alex Olivier Voyer
Lignes de défense personnalisées en prolongation
Jakub Zboril , Adam Wilsby, Riley Stillman , Spencer Stastney, Ryan ORourke


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
1Bakersfield Condors2010000146-22010000146-20000000000010.25046100036496310674764615695069328256233.33%3166.67%0503105347.77%531109948.32%34073646.20%105049111395561218616
2Belleville Senators3110100010822010100067-11100000041340.667101626003649631083476461569501213114459333.33%7185.71%0503105347.77%531109948.32%34073646.20%105049111395561218616
3Binghamton Devils11000000211000000000001100000021121.00022400364963103547646156950277410300.00%20100.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
4Bridgeport Sound Tigers2020000015-42020000015-40000000000000.00011200364963104547646156950499828300.00%4250.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
5Charlotte Checkers10001000431000000000001000100043121.0004711003649631038476461569503518222100.00%10100.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
6Chicago Wolves403001001423-920100100610-420200000813-510.1251423370036496310111476461569501214638557342.86%14564.29%0503105347.77%531109948.32%34073646.20%105049111395561218616
7Cleveland Monsters211000009721010000045-11100000052320.5009162500364963106147646156950622424305240.00%20100.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
8Grand Rapids Griffins21001000523110000002021000100032141.00056110136496310574764615695060192326500.00%40100.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
9Hartford Wolf Pack10001000541000000000001000100054121.0005914003649631037476461569503314693133.33%3233.33%0503105347.77%531109948.32%34073646.20%105049111395561218616
10Hershey Bears1010000057-2000000000001010000057-200.00059140036496310454764615695028124136116.67%2150.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
11Iowa Wild1000010056-1000000000001000010056-110.500571200364963103247646156950316619100.00%3166.67%0503105347.77%531109948.32%34073646.20%105049111395561218616
12Laval Rocket11000000532000000000001100000053221.0005914003649631026476461569503160152150.00%000%0503105347.77%531109948.32%34073646.20%105049111395561218616
13Lehigh Valley Phantoms1010000014-3000000000001010000014-300.000112003649631032476461569504313618100.00%30100.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
14Manitoba Moose10001000211100010002110000000000021.00024600364963102047646156950341026000%10100.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
15Milwaukee Admirals211000006511010000023-11100000042220.500610160036496310684764615695059244246350.00%220.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
16Ontario Reign21001000862000000000002100100086241.000811190036496310524764615695068196227228.57%3166.67%0503105347.77%531109948.32%34073646.20%105049111395561218616
17Palm Springs 31200000660110000002022020000046-220.3336111701364963105747646156950631944210110.00%20100.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
18Rochester Americans 11000000312110000003120000000000021.00035800364963103147646156950219613100.00%3166.67%0503105347.77%531109948.32%34073646.20%105049111395561218616
19Rockford IceHogs21000100660110000004311000010023-130.7506101600364963105347646156950852512272150.00%6183.33%0503105347.77%531109948.32%34073646.20%105049111395561218616
20San Antonio Rampage30200010610-42010001056-11010000014-320.333681400364963108347646156950782418365240.00%9455.56%0503105347.77%531109948.32%34073646.20%105049111395561218616
21San Diego Gulls30200100411-71010000013-22010010038-510.1674590036496310634764615695075194643000%9455.56%0503105347.77%531109948.32%34073646.20%105049111395561218616
22San Jose Barracuda3020001089-13020001089-10000000000020.333810180036496310101476461569501283917513133.33%7185.71%0503105347.77%531109948.32%34073646.20%105049111395561218616
23Springfield Thunderbirds11000000312110000003120000000000021.00035800364963103247646156950175415100.00%2150.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
24Texas Stars32100000972211000006601100000031240.6679162500364963106347646156950692513416233.33%4175.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
25Toronto Marlies2010100067-12010100067-10000000000020.5006915103649631040476461569504915123011100.00%6350.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
26Tucson Roadrunners3210000010642110000045-11100000061540.6671018280036496310804764615695010839354410110.00%5260.00%0503105347.77%531109948.32%34073646.20%105049111395561218616
27Tulsa Oilers 2010001045-1100000102111010000024-220.50044800364963104647646156950662618255120.00%9188.89%1503105347.77%531109948.32%34073646.20%105049111395561218616
28Utica Comets 11000000312000000000001100000031221.000358003649631030476461569503411813100.00%4175.00%1503105347.77%531109948.32%34073646.20%105049111395561218616
29Wilkes-Barre/Scranton Penguins 2020000048-4000000000002020000048-400.00046100036496310554764615695053183631200.00%9544.44%0503105347.77%531109948.32%34073646.20%105049111395561218616
Total56162507431158169-1129714031317179-827911043008790-3570.509158249407123649631015434764615695017175643847781122825.00%1294168.22%2503105347.77%531109948.32%34073646.20%105049111395561218616
_Since Last GM Reset56162507431158169-1129714031317179-827911043008790-3570.509158249407123649631015434764615695017175643847781122825.00%1294168.22%2503105347.77%531109948.32%34073646.20%105049111395561218616
_Vs Conference39101704431110119-921510011315258-61857033005861-3390.50011017228202364963101052476461569501211414276538792126.58%842471.43%1503105347.77%531109948.32%34073646.20%105049111395561218616
_Vs Division18614012214762-15938001212128-7936011002634-8210.583477111801364963104814764615695055818512725134926.47%421369.05%1503105347.77%531109948.32%34073646.20%105049111395561218616

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5657W11582494071543171756438477812
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5616257431158169
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2971431317179
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2791143008790
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1122825.00%1294168.22%2
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
4764615695036496310
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
503105347.77%531109948.32%34073646.20%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
105049111395561218616


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
14Stockton Heat2San Diego Gulls3ALXSommaire du match
421San Jose Barracuda4Stockton Heat5BWXXSommaire du match
739San Jose Barracuda3Stockton Heat2BLSommaire du match
1369Tucson Roadrunners1Stockton Heat2BWSommaire du match
1585Stockton Heat6Tucson Roadrunners1AWSommaire du match
21105Chicago Wolves4Stockton Heat3BLXSommaire du match
25128Stockton Heat1Wilkes-Barre/Scranton Penguins 3ALSommaire du match
26137Belleville Senators4Stockton Heat5BWXSommaire du match
30162Texas Stars1Stockton Heat2BWSommaire du match
32175Stockton Heat3Texas Stars1AWSommaire du match
36194Stockton Heat1San Antonio Rampage4ALSommaire du match
37200San Diego Gulls3Stockton Heat1BLSommaire du match
42223Stockton Heat3Wilkes-Barre/Scranton Penguins 5ALSommaire du match
44234Bridgeport Sound Tigers2Stockton Heat0BLSommaire du match
48255Stockton Heat2Binghamton Devils1AWSommaire du match
51264Belleville Senators3Stockton Heat1BLSommaire du match
53273Stockton Heat4Charlotte Checkers3AWXSommaire du match
58298Manitoba Moose1Stockton Heat2BWXSommaire du match
64326Toronto Marlies5Stockton Heat3BLSommaire du match
68353Rockford IceHogs3Stockton Heat4BWSommaire du match
71369Stockton Heat2Tulsa Oilers 4ALSommaire du match
73379Stockton Heat1San Diego Gulls5ALSommaire du match
75390Stockton Heat5Cleveland Monsters2AWSommaire du match
76397Toronto Marlies2Stockton Heat3BWXSommaire du match
80422San Jose Barracuda2Stockton Heat1BLSommaire du match
83441Stockton Heat4Ontario Reign3AWSommaire du match
85455Texas Stars5Stockton Heat4BLSommaire du match
91483Grand Rapids Griffins0Stockton Heat2BWSommaire du match
98514Cleveland Monsters5Stockton Heat4BLSommaire du match
101524Stockton Heat4Milwaukee Admirals2AWSommaire du match
103537Stockton Heat4Ontario Reign3AWXSommaire du match
105546Bridgeport Sound Tigers3Stockton Heat1BLSommaire du match
107556Stockton Heat5Hartford Wolf Pack4AWXSommaire du match
110577Stockton Heat5Laval Rocket3AWSommaire du match
112583Milwaukee Admirals3Stockton Heat2BLSommaire du match
114598Stockton Heat2Rockford IceHogs3ALXSommaire du match
117614Tulsa Oilers 1Stockton Heat2BWXXSommaire du match
119627Stockton Heat4Belleville Senators1AWSommaire du match
122646San Antonio Rampage1Stockton Heat2BWXXSommaire du match
124656Stockton Heat4Chicago Wolves7ALSommaire du match
128677Tucson Roadrunners4Stockton Heat2BLSommaire du match
130688Stockton Heat3Grand Rapids Griffins2AWXSommaire du match
133709Chicago Wolves6Stockton Heat3BLSommaire du match
136722Stockton Heat4Chicago Wolves6ALSommaire du match
140741San Antonio Rampage5Stockton Heat3BLSommaire du match
145772Stockton Heat5Iowa Wild6ALXSommaire du match
146776Bakersfield Condors4Stockton Heat3BLXXSommaire du match
151804Bakersfield Condors2Stockton Heat1BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
156828Stockton Heat3Utica Comets 1AWSommaire du match
158834Stockton Heat3Palm Springs 4ALSommaire du match
159841Rochester Americans 1Stockton Heat3BWSommaire du match
163866Stockton Heat1Lehigh Valley Phantoms4ALSommaire du match
165871Palm Springs 0Stockton Heat2BWSommaire du match
167879Stockton Heat5Hershey Bears7ALSommaire du match
170898Stockton Heat1Palm Springs 2ALSommaire du match
171907Springfield Thunderbirds1Stockton Heat3BWSommaire du match
177933Springfield Thunderbirds-Stockton Heat-
182957Stockton Heat-Texas Stars-
184965San Diego Gulls-Stockton Heat-
187977Stockton Heat-Bakersfield Condors-
189989Stockton Heat-San Diego Gulls-
1911001Stockton Heat-Providence Bruins -
1921007Charlotte Checkers-Stockton Heat-
1951020Stockton Heat-San Antonio Rampage-
1991038Tulsa Oilers -Stockton Heat-
2021053Stockton Heat-Wilkes-Barre/Scranton Penguins -
2041064Stockton Heat-Tucson Roadrunners-
2061077Syracuse Crunch-Stockton Heat-
2091094Stockton Heat-Manitoba Moose-
2111104Stockton Heat-San Jose Barracuda-
2131114Palm Springs -Stockton Heat-
2141126Stockton Heat-San Jose Barracuda-
2181145Iowa Wild-Stockton Heat-
2241173Ontario Reign-Stockton Heat-
2251181Stockton Heat-Bakersfield Condors-
2321215Ontario Reign-Stockton Heat-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,146,858$ 2,108,717$ 2,108,717$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,050$ 1,494,508$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 58 18,492$ 1,072,536$




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