STOCKTON Flames

GP: 6 | W: 5 | L: 1 | OTL: 0 | P: 10
GF: 25 | GA: 12 | PP%: 27.27% | PK%: 82.35%
DG: Francis Pilote | Morale : 99 | Moyenne d'Équipe : 62
Prochain matchs #80 vs PV Sharapovas
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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 Chytil0X100.006035756882828867686766606753518499690
2Robert Thomas (R)0X100.005735757172818370717465616853518499690
3Tobias Rieder0XX100.006735756570808064546760696265555799680
4Joel Eriksson Ek (R)0X100.007535726479788063766363686356528299680
5Denis Malgin0X100.006535756865806367686766656756526299660
6Lias Andersson0X100.006341696675649166706059596152518799650
7Jakob Forsbacka Karlsson0X100.005635756874646468706361586451507399630
8Dylan Sikura0X100.005235736966616668506763576552504899620
9Alexander Nylander0XX100.005135716976565669546363546451508799610
10Curtis McKenzie0X100.005689477081505070506363576354514199610
11Janne Kuokkanen0X100.005135706876545368506262536250507499600
12Victor Ejdsell0X100.006489676892505068505858505850504399600
13Carter Camper0X100.005089677065505070706262506250503499580
14Max Gortz (R)0X100.004935796877474357305450515360507199560
15Filip Hronek (R)0X100.006335737168719070307069617052567199690
16Gustav Forsling0X100.006435756372776163306060706755515899640
17Joakim Ryan0X100.006741756469735764306355686554514796630
18Oliver Kylington0X100.005535756771656967306159596852506899620
Rayé
1Grayson Downing0XX100.005089695673475056705252505250503793540
2Tyler Wotherspoon0X100.005789666482495064304742505251506693550
3Trevor Murphy0X100.005089566866505068305045515550504393540
MOYENNE D'ÉQUIPE100.00585170677463646651625958625351639862
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
1Nick Ellis100.00656277736774686666666350584399600
2Joni Ortio100.00576271696767636465625562626399580
Rayé
MOYENNE D'ÉQUIPE100.0061627471677166656664595660539959
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
1Oliver KylingtonSTOCKTON Flames (CGY)D617892010271314.29%811619.4811249011012000.00%000001.3700000101
2Joel Eriksson EkSTOCKTON Flames (CGY)C661732062248725.00%16310.5800000000000072.55%5100012.2100000100
3Filip ChytilSTOCKTON Flames (CGY)C63473202112091715.00%211819.77011191011151165.54%14800001.1811000011
4Filip HronekSTOCKTON Flames (CGY)D6066-1201559570.00%315425.7300017000015000.00%000000.7800000000
5Robert ThomasSTOCKTON Flames (CGY)C633664010131961715.79%214323.9200017000091057.14%14000000.8401000200
6Tobias RiederSTOCKTON Flames (CGY)LW/RW623578099228169.09%516026.72000180000100061.54%1300000.6201000010
7Denis MalginSTOCKTON Flames (CGY)C6145500214208215.00%010918.27011030000120062.96%5400000.9100000000
8Gustav ForslingSTOCKTON Flames (CGY)D61453802692211.11%713823.1310117011011000.00%000000.7200000000
9Alexander NylanderSTOCKTON Flames (CGY)LW/RW613432047113139.09%012520.8501106000040014.29%700000.6400000002
10Joakim RyanSTOCKTON Flames (CGY)D6224895166103220.00%214123.5910128000012100.00%000000.5700010010
11Curtis McKenzieSTOCKTON Flames (CGY)LW6224520204174911.76%112320.6200016000090040.00%500000.6500000011
12Dylan SikuraSTOCKTON Flames (CGY)RW61342005315786.67%313322.1800018000000140.00%500000.6000000000
13Lias AnderssonSTOCKTON Flames (CGY)C61230004411469.09%26010.16000120000310100.00%300000.9800000000
14Jakob Forsbacka KarlssonSTOCKTON Flames (CGY)C6011100026240.00%1335.58000010000100100.00%200000.6000000000
Stats d'équipe Total ou en Moyenne8424456954415105882007013212.00%37162319.33347148712311194262.15%42800010.8513010445
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)65100.9061.9636700121280101.000360100
Stats d'équipe Total ou en Moyenne65100.9061.9636700121280101.000360100


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$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$750,000$Lien
Carter CamperSTOCKTON Flames (CGY)C311988-07-06No80 Kg175 CMNoNoNo5Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$750,000$Lien
Curtis McKenzieSTOCKTON Flames (CGY)LW281991-02-22No93 Kg188 CMNoNoNo5Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$750,000$Lien
Denis MalginSTOCKTON Flames (CGY)C221997-01-18No80 Kg175 CMNoNoNo5Pro & Farm1,200,000$1,113,513$1,200,000$1,113,513$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$Lien
Dylan SikuraSTOCKTON Flames (CGY)RW241995-06-01No75 Kg180 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Filip ChytilSTOCKTON Flames (CGY)C191999-09-05No95 Kg188 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Filip HronekSTOCKTON Flames (CGY)D211997-11-02Yes77 Kg183 CMNoNoNo2Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$Lien
Grayson DowningSTOCKTON Flames (CGY)C/RW271992-04-18No89 Kg183 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Gustav ForslingSTOCKTON Flames (CGY)D231996-06-12No85 Kg183 CMNoNoNo5Pro & Farm1,500,000$1,391,891$1,500,000$1,391,891$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$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$750,000$Lien
Janne KuokkanenSTOCKTON Flames (CGY)C211998-05-25No88 Kg185 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Joakim RyanSTOCKTON Flames (CGY)D261993-06-17No84 Kg180 CMNoNoNo3Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$Lien
Joel Eriksson EkSTOCKTON Flames (CGY)C221997-01-29Yes95 Kg185 CMNoNoNo2Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$Lien
Joni OrtioSTOCKTON Flames (CGY)G281991-04-16No86 Kg185 CMNoNoNo5Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$750,000$
Lias AnderssonSTOCKTON Flames (CGY)C201998-10-13No86 Kg185 CMNoNoNo5Pro & Farm900,000$835,135$900,000$835,135$0$0$No900,000$900,000$900,000$900,000$Lien
Max GortzSTOCKTON Flames (CGY)RW261993-01-28Yes95 Kg188 CMNoNoNo3Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$
Nick EllisSTOCKTON Flames (CGY)G251994-01-18No82 Kg185 CMNoNoNo5Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$750,000$Lien
Oliver KylingtonSTOCKTON Flames (CGY)D221997-05-19No83 Kg183 CMNoNoNo5Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$750,000$Lien
Robert ThomasSTOCKTON Flames (CGY)C201999-07-02Yes85 Kg183 CMNoNoNo2Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$Lien
Tobias RiederSTOCKTON Flames (CGY)LW/RW261993-01-10No85 Kg180 CMNoNoNo3Pro & Farm900,000$835,135$900,000$835,135$0$0$No900,000$900,000$Lien
Trevor MurphySTOCKTON Flames (CGY)D241995-07-17No82 Kg178 CMNoNoNo5Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$750,000$Lien
Tyler WotherspoonSTOCKTON Flames (CGY)D261993-03-12No94 Kg188 CMNoNoNo6Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Victor EjdsellSTOCKTON Flames (CGY)C241995-06-06No97 Kg196 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2323.8386 Kg183 CM3.52815,217$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tobias RiederFilip ChytilDylan Sikura31122
2Curtis McKenzieRobert ThomasAlexander Nylander26122
3Tobias RiederJoel Eriksson EkDylan Sikura23122
4Tobias RiederDenis MalginDylan Sikura20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip HronekGustav Forsling31122
2Joakim RyanOliver Kylington26122
3Filip Hronek23122
4Gustav ForslingJoakim Ryan20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tobias RiederFilip ChytilDylan Sikura55122
2Curtis McKenzieRobert ThomasAlexander Nylander45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip HronekGustav Forsling55122
2Joakim RyanOliver Kylington45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Filip ChytilTobias Rieder55122
2Robert ThomasCurtis McKenzie45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip HronekGustav Forsling55122
2Joakim RyanOliver Kylington45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Filip Chytil55122Filip HronekGustav Forsling55122
2Robert Thomas45122Joakim RyanOliver Kylington45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Filip ChytilTobias Rieder55122
2Robert ThomasCurtis McKenzie45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip HronekGustav Forsling55122
2Joakim RyanOliver Kylington45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tobias RiederFilip ChytilDylan SikuraFilip HronekGustav Forsling
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tobias RiederFilip ChytilDylan SikuraFilip HronekGustav Forsling
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Denis Malgin, Lias Andersson, Jakob Forsbacka KarlssonDenis Malgin, Lias AnderssonDenis Malgin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joakim Ryan, Oliver Kylington, Joakim RyanJoakim Ryan, Oliver Kylington
Tirs de Pénalité
Filip Chytil, Robert Thomas, Tobias Rieder, Joel Eriksson Ek, Denis Malgin
Gardien
#1 : Nick Ellis, #2 : Joni Ortio
Lignes d'Attaque Perso. en Prol.
Filip Chytil, Robert Thomas, Tobias Rieder, Joel Eriksson Ek, Denis Malgin, Lias Andersson, Lias Andersson, Jakob Forsbacka Karlsson, Dylan Sikura, Alexander Nylander, Curtis McKenzie
Lignes de Défense Perso. en Prol.
Filip Hronek, Gustav Forsling, Joakim Ryan, Oliver Kylington,


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
1LAVAL Rockets11000000321000000000001100000032121.000369008692265664701324708200.00%000.00%012618070.00%9015458.44%508459.52%177134119357138
2MONT-LAURIER Sommet1010000013-2000000000001010000013-200.00012300869225566470132261024000.00%5180.00%012618070.00%9015458.44%508459.52%177134119357138
3PV Sharapovas11000000422110000004220000000000021.0004711008692275664701325611198225.00%30100.00%012618070.00%9015458.44%508459.52%177134119357138
4Syracruse Crunch10000010211000000000001000001021121.0002240086921356647013268617000.00%30100.00%012618070.00%9015458.44%508459.52%177134119357138
Total631010102512132200000015312411010101091100.83325457000869220056647013128374110511327.27%17382.35%112618070.00%9015458.44%508459.52%177134119357138
6VICTORIAVILLE Tigres10001000431000000000001000100043121.000481200869243566470132781219000.00%5260.00%012618070.00%9015458.44%508459.52%177134119357138
7WILKIES-BARRIE Penguins110000001111011000000111100000000000021.00011203100869266566470134221811100.00%10100.00%112618070.00%9015458.44%508459.52%177134119357138
_Since Last GM Reset631010102512132200000015312411010101091100.83325457000869220056647013128374110511327.27%17382.35%112618070.00%9015458.44%508459.52%177134119357138
_Vs Conference5210101022101222000000153123010101077080.800223961008692174566470131043041979333.33%17382.35%112618070.00%9015458.44%508459.52%177134119357138
_Vs Division30101010954100000004222010101053240.6679152400869266566470137521174410220.00%60100.00%012618070.00%9015458.44%508459.52%177134119357138

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
610W5254570200128374110500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
63110102512
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000153
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4111010109
Derniers 10 Matchs
WLOTWOTL SOWSOL
510000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
11327.27%17382.35%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
566470138692
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
12618070.00%9015458.44%508459.52%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
177134119357138


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 Flames-PV Sharapovas-
11 - 2020-01-2592BELLEVILLE Senators-STOCKTON Flames-
13 - 2020-01-27107PV Sharapovas-STOCKTON Flames-
15 - 2020-01-29126STOCKTON Flames-MILWAUKEE Admirals-
17 - 2020-01-31131IOWA Wild-STOCKTON Flames-
19 - 2020-02-02151Manitoba Moose-STOCKTON Flames-
21 - 2020-02-04163STOCKTON Flames-CORNWALL Aces-
22 - 2020-02-05172HOLLYWOOD Oscar-STOCKTON Flames-
23 - 2020-02-06186STOCKTON Flames-BELLEVILLE Senators-
24 - 2020-02-07198PV Sharapovas-STOCKTON Flames-
26 - 2020-02-09209STOCKTON Flames-MONT-LAURIER Sommet-
27 - 2020-02-10226UTICA Comets-STOCKTON Flames-
28 - 2020-02-11241HERSEY Bears-STOCKTON Flames-
29 - 2020-02-12252STOCKTON Flames-PROVIDENCE Bruins-
31 - 2020-02-14267Syracruse Crunch-STOCKTON Flames-
32 - 2020-02-15277STOCKTON Flames-UTICA Comets-
33 - 2020-02-16291STOCKTON Flames-BRIDGEPORT Sound Tigers-
34 - 2020-02-17303CHICAGO Wolves-STOCKTON Flames-
36 - 2020-02-19316STOCKTON Flames-SAN DIEGO Gulls-
37 - 2020-02-20324STOCKTON Flames-VICTORIAVILLE Tigres-
38 - 2020-02-21333Syracruse Crunch-STOCKTON Flames-
39 - 2020-02-22353STOCKTON Flames-HOLLYWOOD Oscar-
40 - 2020-02-23363LAVAL Rockets-STOCKTON Flames-
42 - 2020-02-25373STOCKTON Flames-BELLEVILLE Senators-
43 - 2020-02-26387PROVIDENCE Bruins-STOCKTON Flames-
44 - 2020-02-27403Binghampton Devils-STOCKTON Flames-
45 - 2020-02-28419STOCKTON Flames-HOLLYWOOD Oscar-
46 - 2020-02-29432HOLLYWOOD Oscar-STOCKTON Flames-
47 - 2020-03-01440STOCKTON Flames-MILWAUKEE Admirals-
49 - 2020-03-03456STOCKTON Flames-ROCKFORD IceHogs-
50 - 2020-03-04468TUSCON Roadrunners-STOCKTON Flames-
52 - 2020-03-06476STOCKTON Flames-IOWA Wild-
53 - 2020-03-07492BELLEVILLE Senators-STOCKTON Flames-
55 - 2020-03-09509Binghampton Devils-STOCKTON Flames-
56 - 2020-03-10522STOCKTON Flames-Manitoba Moose-
57 - 2020-03-11529STOCKTON Flames-CORNWALL Aces-
59 - 2020-03-13545BRIDGEPORT Sound Tigers-STOCKTON Flames-
60 - 2020-03-14557STOCKTON Flames-WILKIES-BARRIE Penguins-
61 - 2020-03-15567STOCKTON Flames-Binghampton Devils-
62 - 2020-03-16575BELLEVILLE Senators-STOCKTON Flames-
63 - 2020-03-17596Marlies de Toronto-STOCKTON Flames-
64 - 2020-03-18609STOCKTON Flames-LEHIGH VALLEY Phantoms-
65 - 2020-03-19620COLORADO Eagles-STOCKTON Flames-
67 - 2020-03-21635STOCKTON Flames-LEHIGH VALLEY Phantoms-
68 - 2020-03-22641STOCKTON Flames-IOWA Wild-
69 - 2020-03-23655ROCKFORD IceHogs-STOCKTON Flames-
70 - 2020-03-24672STOCKTON Flames-Binghampton Devils-
71 - 2020-03-25678WILKIES-BARRIE Penguins-STOCKTON Flames-
73 - 2020-03-27698SAN DIEGO Gulls-STOCKTON Flames-
74 - 2020-03-28714WILKIES-BARRIE Penguins-STOCKTON Flames-
75 - 2020-03-29726STOCKTON Flames-Syracruse Crunch-
76 - 2020-03-30737STOCKTON Flames-CORNWALL Aces-
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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
145,944$ 1,875,000$ 1,875,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 135,136$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 103 18,243$ 1,879,029$




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
336310101025121322000000153124110101010911025457000869220056647013128374110511327.27%17382.35%112618070.00%9015458.44%508459.52%177134119357138
Total Saison Régulière6310101025121322000000153124110101010911025457000869220056647013128374110511327.27%17382.35%112618070.00%9015458.44%508459.52%177134119357138
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