STOCKTON Flames

GP: 58 | W: 44 | L: 9 | OTL: 5 | P: 93
GF: 284 | GA: 88 | PP%: 14.11% | PK%: 89.92%
DG: Francis Pilote | Morale : 99 | Moyenne d'Équipe : 62
Prochain matchs #752 vs MONT-LAURIER Sommet
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Filip Chytil0X100.006035756882828867686766606753518488690
2Robert Thomas (R)0X100.005735757172818370717465616853518488690
3Tobias Rieder0XX100.006735756570808064546760696265555788680
4Joel Eriksson Ek (R)0X100.007535726479788063766363686356528288680
5Zach Sanford0X100.006441736688778065696663636454516585680
6Denis Malgin0X100.006535756865806367686766656756526288660
7Lias Andersson0X100.006341696675649166706059596152518788650
8Jakob Forsbacka Karlsson0X100.005635756874646468706361586451507388630
9Alexander Nylander0XX100.005135716976565669546363546451508788610
10Curtis McKenzie0X100.005689477081505070506363576354514188610
11Janne Kuokkanen0X100.005135706876545368506262536250507499600
12Victor Ejdsell0X100.006489676892505068505858505850504394600
13Gustav Forsling0X100.006435756372776163306060706755515888640
14Oliver Kylington0X100.005535756771656967306159596852506888620
15Niklas Hansson (R)0X100.005089656473495064305454505450504393560
16Tyler Wotherspoon0X100.005789666482495064304742505251506667550
17Trevor Murphy0X100.005089566866505068305045515550504371540
Rayé
1Carter Camper0X100.005089677065505070706262506250503483580
2Max Gortz (R)0X100.004935796877474357305450515360507183560
3Grayson Downing0XX100.005089695673475056705252505250503741540
MOYENNE D'ÉQUIPE100.00585570677563636654615957615351638462
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Spencer Martin100.00756297857474757474746950636685660
2Nick Ellis100.00656277736774686666666350584386600
Rayé
MOYENNE D'ÉQUIPE100.0070628779717472707070665061558663
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Willie Desjardins75767679818148CAN632150,000$


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
1Tobias RiederSTOCKTON Flames (CGY)LW/RW58325082803608192350932529.14%22150025.87246291330004675163.72%11300021.0905000567
2Filip ChytilSTOCKTON Flames (CGY)C582751786380411092688519410.07%15112419.393473514410191266265.82%134600001.3925000363
3Robert ThomasSTOCKTON Flames (CGY)C5838397762220621333488524210.92%10134323.16448341310002807166.48%146200021.1515000656
4Denis MalginSTOCKTON Flames (CGY)C58303363538032742676419411.24%1690215.572464500003555166.87%48300031.4001000831
5Zach SanfordSTOCKTON Flames (CGY)LW572336596114061392267118310.18%588615.5620213410115330062.20%8200001.3311000234
6Curtis McKenzieSTOCKTON Flames (CGY)LW5825325752360109442386514310.50%11117320.23224221090001633153.52%7100010.9700000236
7Joel Eriksson EkSTOCKTON Flames (CGY)C582133543926065711967213910.71%971612.36000170002201071.02%62800011.5113000233
8Gustav ForslingSTOCKTON Flames (CGY)D58143953693007352137399310.22%55140824.28134351421122101200.00%000000.7501000113
9Oliver KylingtonSTOCKTON Flames (CGY)D58643495514072348726656.90%56120720.82268331310221102100.00%000000.8101000222
10Alexander NylanderSTOCKTON Flames (CGY)LW/RW58192746591202949207601449.18%9119020.5312361210000202156.96%7900000.7700000122
11Lias AnderssonSTOCKTON Flames (CGY)C582216383710028201434610415.38%461210.550113260000132073.53%3400021.2400000032
12Jakob Forsbacka KarlssonSTOCKTON Flames (CGY)C5811819220081366142916.67%42273.9200028000052070.00%1000011.6700000010
13Trevor MurphySTOCKTON Flames (CGY)D160552512029295110.00%1128017.5300028000012000.00%000000.3600000000
14Victor EjdsellSTOCKTON Flames (CGY)C714557514133167.69%09713.9400000000001037.50%800001.0200010000
15Tyler WotherspoonSTOCKTON Flames (CGY)D16033202153116150.00%529418.38000134000026000.00%000000.2000000000
16Niklas HanssonSTOCKTON Flames (CGY)D4011700401220.00%58822.200000900003000.00%000000.2300000000
Stats d'équipe Total ou en Moyenne738269420689709256107267372562731181610.50%2371305517.6919304922011012462973537766.45%4316000121.06522010323839
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
1Nick EllisSTOCKTON Flames (CGY)4231740.9151.62251809687960200.783234216311
2Spencer MartinSTOCKTON Flames (CGY)1613210.9361.0696007172670000.00001620120
Stats d'équipe Total ou en Moyenne5844950.9201.4734780168510630200.783235836431


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander NylanderSTOCKTON Flames (CGY)LW/RW211998-03-02No87 Kg185 CMNoNoNo5Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$750,000$750,000$750,000$Lien
Carter CamperSTOCKTON Flames (CGY)C311988-07-06No80 Kg175 CMNoNoNo5Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$750,000$750,000$750,000$Lien
Curtis McKenzieSTOCKTON Flames (CGY)LW281991-02-22No93 Kg188 CMNoNoNo5Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$750,000$750,000$750,000$Lien
Denis MalginSTOCKTON Flames (CGY)C221997-01-18No80 Kg175 CMNoNoNo5Pro & Farm1,200,000$367,567$1,200,000$367,567$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$Lien
Filip ChytilSTOCKTON Flames (CGY)C191999-09-05No95 Kg188 CMNoNoNo1Pro & Farm750,000$229,729$750,000$229,729$0$0$NoLien
Grayson DowningSTOCKTON Flames (CGY)C/RW271992-04-18No89 Kg183 CMNoNoNo1Pro & Farm750,000$229,729$750,000$229,729$0$0$NoLien
Gustav ForslingSTOCKTON Flames (CGY)D231996-06-12No85 Kg183 CMNoNoNo5Pro & Farm1,500,000$459,459$1,500,000$459,459$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$Lien
Jakob Forsbacka KarlssonSTOCKTON Flames (CGY)C221996-10-31No84 Kg185 CMNoNoNo5Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$750,000$750,000$750,000$Lien
Janne KuokkanenSTOCKTON Flames (CGY)C211998-05-25No88 Kg185 CMNoNoNo1Pro & Farm750,000$229,729$750,000$229,729$0$0$NoLien
Joel Eriksson EkSTOCKTON Flames (CGY)C221997-01-29Yes95 Kg185 CMNoNoNo2Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$Lien
Lias AnderssonSTOCKTON Flames (CGY)C201998-10-13No86 Kg185 CMNoNoNo5Pro & Farm900,000$275,675$900,000$275,675$0$0$No900,000$900,000$900,000$900,000$Lien
Max GortzSTOCKTON Flames (CGY)RW261993-01-28Yes95 Kg188 CMNoNoNo3Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$750,000$
Nick EllisSTOCKTON Flames (CGY)G251994-01-18No82 Kg185 CMNoNoNo5Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$750,000$750,000$750,000$Lien
Niklas HanssonSTOCKTON Flames (CGY)D241995-01-08Yes82 Kg185 CMNoNoNo4Pro & Farm800,000$245,045$500,000$153,153$0$0$No800,000$800,000$800,000$
Oliver KylingtonSTOCKTON Flames (CGY)D221997-05-19No83 Kg183 CMNoNoNo5Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$750,000$750,000$750,000$Lien
Robert ThomasSTOCKTON Flames (CGY)C201999-07-02Yes85 Kg183 CMNoNoNo2Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$Lien
Spencer MartinSTOCKTON Flames (CGY)G241995-06-08No95 Kg191 CMNoNoNo6Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Tobias RiederSTOCKTON Flames (CGY)LW/RW261993-01-10No85 Kg180 CMNoNoNo3Pro & Farm900,000$275,675$900,000$275,675$0$0$No900,000$900,000$Lien
Trevor MurphySTOCKTON Flames (CGY)D241995-07-17No82 Kg178 CMNoNoNo5Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$750,000$750,000$750,000$Lien
Tyler WotherspoonSTOCKTON Flames (CGY)D261993-03-12No94 Kg188 CMNoNoNo6Pro & Farm750,000$229,729$750,000$229,729$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Victor EjdsellSTOCKTON Flames (CGY)C241995-06-06No97 Kg196 CMNoNoNo1Pro & Farm750,000$229,729$750,000$229,729$0$0$NoLien
Zach SanfordSTOCKTON Flames (CGY)LW241994-11-09No94 Kg193 CMNoNoNo5Pro & Farm1,000,000$306,306$1,000,000$306,306$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2223.6888 Kg185 CM3.86831,818$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach SanfordFilip ChytilTobias Rieder31122
2Curtis McKenzieRobert ThomasAlexander Nylander26122
3Zach SanfordJoel Eriksson EkLias Andersson23122
4Zach SanfordDenis MalginLias Andersson20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav ForslingOliver Kylington31122
2Niklas HanssonTyler Wotherspoon26122
3Trevor MurphyGustav Forsling23122
4Oliver KylingtonNiklas Hansson20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach SanfordFilip ChytilTobias Rieder55122
2Curtis McKenzieRobert ThomasAlexander Nylander45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav ForslingOliver Kylington55122
2Niklas HanssonTyler Wotherspoon45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Filip ChytilZach Sanford55122
2Robert ThomasCurtis McKenzie45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav ForslingOliver Kylington55122
2Niklas HanssonTyler Wotherspoon45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Filip Chytil55122Gustav ForslingOliver Kylington55122
2Robert Thomas45122Niklas HanssonTyler Wotherspoon45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Filip ChytilZach Sanford55122
2Robert ThomasCurtis McKenzie45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav ForslingOliver Kylington55122
2Niklas HanssonTyler Wotherspoon45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach SanfordFilip ChytilTobias RiederGustav ForslingOliver Kylington
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach SanfordFilip ChytilTobias RiederGustav ForslingOliver Kylington
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joel Eriksson Ek, Denis Malgin, Lias AnderssonJoel Eriksson Ek, Denis MalginJoel Eriksson Ek
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Niklas Hansson, Tyler Wotherspoon, Trevor MurphyNiklas HanssonNiklas Hansson, Tyler Wotherspoon
Tirs de Pénalité
Filip Chytil, Robert Thomas, Tobias Rieder, Zach Sanford, Joel Eriksson Ek
Gardien
#1 : Spencer Martin, #2 : Nick Ellis
Lignes d'Attaque Perso. en Prol.
Filip Chytil, Robert Thomas, Tobias Rieder, Zach Sanford, Joel Eriksson Ek, Denis Malgin, Denis Malgin, Lias Andersson, Jakob Forsbacka Karlsson, Alexander Nylander, Curtis McKenzie
Lignes de Défense Perso. en Prol.
Gustav Forsling, Oliver Kylington, Niklas Hansson, Tyler Wotherspoon, Trevor Murphy


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1BELLEVILLE Senators550000002912833000000170172200000012111101.000294978041317671844592291195754237694000.00%30100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
2BRIDGEPORT Sound Tigers22000000725110000004041100000032141.0007132001131767186492291195754401110268225.00%50100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
3Binghampton Devils440000002752222000000945220000001811781.0002750770113176718254922911957547115185817211.76%90100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
4CHICAGO Wolves11000000431110000004310000000000021.000471100131767182692291195754267216100.00%000.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
5COLORADO Eagles11000000404110000004040000000000021.0004610011317671828922911957541782318900.00%70100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
6CORNWALL Aces330000003613500000000000330000003613561.00036661020213176718283922911957541120373266.67%000.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
7HERSEY Bears11000000716110000007160000000000021.0007132000131767183492291195754219121311100.00%60100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
8HOLLYWOOD Oscar44000000451442200000024024220000002112081.0004585130031317671833792291195754198860100.00%40100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
9IOWA Wild311010007431010000012-12100100062440.667713200013176718105922911957547024165120420.00%8275.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
10LAVAL Rockets2110000034-11010000002-21100000032120.500369001317671854922911957544915619700.00%20100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
11LEHIGH VALLEY Phantoms22000000835000000000002200000083541.000814220013176718779229119575437111235400.00%60100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
12MILWAUKEE Admirals20200000110-90000000000020200000110-900.0001230013176718369229119575478261433200.00%6183.33%01525211572.10%773130859.10%59588067.61%19361548947305629361
13MONT-LAURIER Sommet2020000028-6000000000002020000028-600.0002460013176718449229119575453161636200.00%8275.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
14Manitoba Moose2000000257-21000000123-11000000134-120.50059140013176718699229119575452912349222.22%6183.33%01525211572.10%773130859.10%59588067.61%19361548947305629361
15Marlies de Toronto110000001101111000000110110000000000021.0001121320113176718619229119575462220000.00%10100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
16PROVIDENCE Bruins21000010743110000004221000001032141.0007916001317671869922911957545117184015213.33%7185.71%01525211572.10%773130859.10%59588067.61%19361548947305629361
17PV Sharapovas420010011376310010018621100000051470.87513223500131767181179229119575410224255420315.00%9277.78%01525211572.10%773130859.10%59588067.61%19361548947305629361
18ROCKFORD IceHogs2010010046-21010000034-11000010012-110.25047110013176718489229119575442153125800.00%8187.50%11525211572.10%773130859.10%59588067.61%19361548947305629361
19SAN DIEGO Gulls2200000012012110000006061100000060641.00012233502131767181819229119575440411000.00%20100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
20Syracruse Crunch421000101385220000009362010001045-160.75013213400131767181079229119575411233145812216.67%6183.33%01525211572.10%773130859.10%59588067.61%19361548947305629361
21TUSCON Roadrunners1010000001-11010000001-10000000000000.0000000013176718259229119575422709300.00%000.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
Total58389042232848819628194021021283593301950212115653103930.8022845137970161317671828219229119575410843233118721632314.11%1291389.92%21525211572.10%773130859.10%59588067.61%19361548947305629361
23UTICA Comets22000000532110000002111100000032141.000510150013176718609229119575459151026700.00%20100.00%01525211572.10%773130859.10%59588067.61%19361548947305629361
24VICTORIAVILLE Tigres2100100013580000000000021001000135841.00013253800131767188592291195754541924383133.33%11281.82%01525211572.10%773130859.10%59588067.61%19361548947305629361
25WILKIES-BARRIE Penguins420011002141731001100133101100000081770.8752138590113176718212922911957546523286111218.18%130100.00%11525211572.10%773130859.10%59588067.61%19361548947305629361
_Since Last GM Reset58389042232848819628194021021283593301950212115653103930.8022845137970161317671828219229119575410843233118721632314.11%1291389.92%21525211572.10%773130859.10%59588067.61%19361548947305629361
_Vs Conference3926404113219541651711102102832162221530201113633103660.846219396615011131767182135922911957546691911796161021817.65%831087.95%11525211572.10%773130859.10%59588067.61%19361548947305629361
_Vs Division21104020101122587114100000491336106302010631251260.61911219430607131767181136922911957543541007132257915.79%28485.71%01525211572.10%773130859.10%59588067.61%19361548947305629361

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5893W128451379728211084323311872016
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
58389422328488
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
28194210212835
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
30195212115653
Derniers 10 Matchs
WLOTWOTL SOWSOL
720100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1632314.11%1291389.92%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
9229119575413176718
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
1525211572.10%773130859.10%59588067.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
19361548947305629361


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-01-157STOCKTON Flames1MONT-LAURIER Sommet3LSommaire du Match
2 - 2020-01-1622PV Sharapovas2STOCKTON Flames4WSommaire du Match
3 - 2020-01-1735STOCKTON Flames4VICTORIAVILLE Tigres3WXR3Sommaire du Match
4 - 2020-01-1840WILKIES-BARRIE Penguins1STOCKTON Flames11WSommaire du Match
5 - 2020-01-1964STOCKTON Flames3LAVAL Rockets2WSommaire du Match
7 - 2020-01-2169STOCKTON Flames2Syracruse Crunch1WXXSommaire du Match
9 - 2020-01-2380STOCKTON Flames5PV Sharapovas1WSommaire du Match
11 - 2020-01-2592BELLEVILLE Senators0STOCKTON Flames8WSommaire du Match
13 - 2020-01-27107PV Sharapovas3STOCKTON Flames2LXXSommaire du Match
15 - 2020-01-29126STOCKTON Flames0MILWAUKEE Admirals5LSommaire du Match
17 - 2020-01-31131IOWA Wild2STOCKTON Flames1LSommaire du Match
19 - 2020-02-02151Manitoba Moose3STOCKTON Flames2LXXSommaire du Match
21 - 2020-02-04163STOCKTON Flames13CORNWALL Aces0WSommaire du Match
22 - 2020-02-05172HOLLYWOOD Oscar0STOCKTON Flames12WSommaire du Match
23 - 2020-02-06186STOCKTON Flames6BELLEVILLE Senators1WSommaire du Match
24 - 2020-02-07198PV Sharapovas1STOCKTON Flames2WXSommaire du Match
26 - 2020-02-09209STOCKTON Flames1MONT-LAURIER Sommet5LSommaire du Match
27 - 2020-02-10226UTICA Comets1STOCKTON Flames2WSommaire du Match
28 - 2020-02-11241HERSEY Bears1STOCKTON Flames7WSommaire du Match
29 - 2020-02-12252STOCKTON Flames3PROVIDENCE Bruins2WXXSommaire du Match
31 - 2020-02-14267Syracruse Crunch2STOCKTON Flames6WSommaire du Match
32 - 2020-02-15277STOCKTON Flames3UTICA Comets2WSommaire du Match
33 - 2020-02-16291STOCKTON Flames3BRIDGEPORT Sound Tigers2WSommaire du Match
34 - 2020-02-17303CHICAGO Wolves3STOCKTON Flames4WSommaire du Match
36 - 2020-02-19316STOCKTON Flames6SAN DIEGO Gulls0WSommaire du Match
37 - 2020-02-20324STOCKTON Flames9VICTORIAVILLE Tigres2WR3Sommaire du Match
38 - 2020-02-21333Syracruse Crunch1STOCKTON Flames3WSommaire du Match
39 - 2020-02-22353STOCKTON Flames8HOLLYWOOD Oscar1WSommaire du Match
40 - 2020-02-23363LAVAL Rockets2STOCKTON Flames0LSommaire du Match
42 - 2020-02-25373STOCKTON Flames6BELLEVILLE Senators0WSommaire du Match
43 - 2020-02-26387PROVIDENCE Bruins2STOCKTON Flames4WSommaire du Match
44 - 2020-02-27403Binghampton Devils3STOCKTON Flames4WSommaire du Match
45 - 2020-02-28419STOCKTON Flames13HOLLYWOOD Oscar0WSommaire du Match
46 - 2020-02-29432HOLLYWOOD Oscar0STOCKTON Flames12WSommaire du Match
47 - 2020-03-01440STOCKTON Flames1MILWAUKEE Admirals5LSommaire du Match
49 - 2020-03-03456STOCKTON Flames1ROCKFORD IceHogs2LXSommaire du Match
50 - 2020-03-04468TUSCON Roadrunners1STOCKTON Flames0LSommaire du Match
52 - 2020-03-06476STOCKTON Flames2IOWA Wild1WXSommaire du Match
53 - 2020-03-07492BELLEVILLE Senators0STOCKTON Flames4WSommaire du Match
55 - 2020-03-09509Binghampton Devils1STOCKTON Flames5WSommaire du Match
56 - 2020-03-10522STOCKTON Flames3Manitoba Moose4LXXSommaire du Match
57 - 2020-03-11529STOCKTON Flames13CORNWALL Aces0WSommaire du Match
59 - 2020-03-13545BRIDGEPORT Sound Tigers0STOCKTON Flames4WSommaire du Match
60 - 2020-03-14557STOCKTON Flames8WILKIES-BARRIE Penguins1WSommaire du Match
61 - 2020-03-15567STOCKTON Flames5Binghampton Devils1WSommaire du Match
62 - 2020-03-16575BELLEVILLE Senators0STOCKTON Flames5WSommaire du Match
63 - 2020-03-17596Marlies de Toronto0STOCKTON Flames11WSommaire du Match
64 - 2020-03-18609STOCKTON Flames4LEHIGH VALLEY Phantoms2WSommaire du Match
65 - 2020-03-19620COLORADO Eagles0STOCKTON Flames4WSommaire du Match
67 - 2020-03-21635STOCKTON Flames4LEHIGH VALLEY Phantoms1WSommaire du Match
68 - 2020-03-22641STOCKTON Flames4IOWA Wild1WSommaire du Match
69 - 2020-03-23655ROCKFORD IceHogs4STOCKTON Flames3LSommaire du Match
70 - 2020-03-24672STOCKTON Flames13Binghampton Devils0WSommaire du Match
71 - 2020-03-25678WILKIES-BARRIE Penguins2STOCKTON Flames1LXSommaire du Match
73 - 2020-03-27698SAN DIEGO Gulls0STOCKTON Flames6WSommaire du Match
74 - 2020-03-28714WILKIES-BARRIE Penguins0STOCKTON Flames1WXSommaire du Match
75 - 2020-03-29726STOCKTON Flames2Syracruse Crunch4LSommaire du Match
76 - 2020-03-30737STOCKTON Flames10CORNWALL Aces1WSommaire du Match
78 - 2020-04-01752MONT-LAURIER Sommet-STOCKTON Flames-
79 - 2020-04-02765STOCKTON Flames-WILKIES-BARRIE Penguins-
80 - 2020-04-03779VICTORIAVILLE Tigres-STOCKTON Flames-
81 - 2020-04-04792STOCKTON Flames-CHICAGO Wolves-
82 - 2020-04-05805STOCKTON Flames-TUSCON Roadrunners-
83 - 2020-04-06807BROOKLYN Wolfpack-STOCKTON Flames-
85 - 2020-04-08830LEHIGH VALLEY Phantoms-STOCKTON Flames-
86 - 2020-04-09847Manitoba Moose-STOCKTON Flames-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11861STOCKTON Flames-HERSEY Bears-
89 - 2020-04-12870STOCKTON Flames-PV Sharapovas-
90 - 2020-04-13883MONT-LAURIER Sommet-STOCKTON Flames-
91 - 2020-04-14900VICTORIAVILLE Tigres-STOCKTON Flames-
93 - 2020-04-16914STOCKTON Flames-MONT-LAURIER Sommet-
94 - 2020-04-17930MILWAUKEE Admirals-STOCKTON Flames-
95 - 2020-04-18940STOCKTON Flames-Marlies de Toronto-
96 - 2020-04-19953STOCKTON Flames-Manitoba Moose-
97 - 2020-04-20960LEHIGH VALLEY Phantoms-STOCKTON Flames-
98 - 2020-04-21972STOCKTON Flames-PV Sharapovas-
99 - 2020-04-22986IOWA Wild-STOCKTON Flames-
101 - 2020-04-241001PV Sharapovas-STOCKTON Flames-
105 - 2020-04-281028CORNWALL Aces-STOCKTON Flames-
106 - 2020-04-291042CORNWALL Aces-STOCKTON Flames-
108 - 2020-05-011048STOCKTON Flames-COLORADO Eagles-
109 - 2020-05-021059STOCKTON Flames-BROOKLYN Wolfpack-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
13 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,386,480$ 1,830,000$ 1,800,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,282,431$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 34 17,838$ 606,492$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
3358389042232848819628194021021283593301950212115653103932845137970161317671828219229119575410843233118721632314.11%1291389.92%21525211572.10%773130859.10%59588067.61%19361548947305629361
Total Saison Régulière58389042232848819628194021021283593301950212115653103932845137970161317671828219229119575410843233118721632314.11%1291389.92%21525211572.10%773130859.10%59588067.61%19361548947305629361
Séries
32126600000292906330000013103633000001619-31229528102129804041331351279326706619639615.38%30583.33%026546656.87%19935855.59%10018155.25%3192322578014775
Total Séries126600000292906330000013103633000001619-31229528102129804041331351279326706619639615.38%30583.33%026546656.87%19935855.59%10018155.25%3192322578014775