Chicoutimi Sagueneens

GP: 5 | W: 1 | L: 4
GF: 12 | GA: 20 | PP%: 0.00% | PK%: 86.67%
DG: Jacques Belanger | Morale : 18 | Moyenne d'Équipe : 58
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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
1Garnet HathawayXXX100.009160796877579457396166772561616933640
2Jacob de La RoseXX100.007744917779598058656154792561626630630
3Aleksi Saarela (C)XX100.007770946670818565805967666446466958630
4Scott WilsonXXX100.008444917366596858346555812558596635620
5Dylan Gambrell (R)X100.007671887071708065806361586347476777610
6Miikka Salomaki (A)XXX100.008445927372576661336058712556586567610
7Rocco GrimaldiXXX100.006741937161567662546763572555566263600
8Spencer FooXX100.007368846868778261505761635844446475600
9Mike VecchioneXX100.007368846368788360755858635544446274600
10Josh JoorisXXX100.007772887472737951644548674662635773590
11Brayden Burke (R)XX100.007062896862758059505658615544446242580
12Clark BishopX100.008545906170548056726057552556566174580
13Dylan Sikura (R)XXX100.005739996158597561266955582547476166570
14Libor Hajek (R)X100.007775768077778060255641753744445153650
15Alex LintuniemiX100.008685896485758153254940703855555767630
16Jakub ZborilX100.007775826575737949254241633948485553590
17Jacob Nilsson (R)X100.007366885866565658254656625344445919550
18Jeff TaylorX100.007168776568576046253641593947475138540
19Jonathan Racine (R)X100.006972616972434443252843564144444813510
Rayé
1Corey TroppXX100.005968396568676863505665596253536149580
2Maxim Letunov (R)X100.007771906271626358735358645544446146570
3Jonathan Ang (R)X100.006861846661798652655346584444445619550
4Nolan Stevens (R)X100.007770925870626454684756635344445920550
5Braden ChristofferXX100.006666676566677251504351604855555520540
6Pascal Laberge (R)X100.006865745865596055694363596044446020540
7Samuel LabergeX100.006676416676636750504945574344445220530
8Ludwig BystromX100.007466926566748052254940613844445520580
9Zach FryeX100.008274996574505150253748654644445620560
MOYENNE D'ÉQUIPE100.00746483677065735648525364434949604458
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
1Marcus Hogberg100.00656784876467647166663044446664650
2Anthony Stolarz100.00634848887156486167634545456073600
Rayé
1Adin Hill100.00577369866054645567574545456019600
2Aaron Dell100.00545756735950555857549553535620560
3Ville Husso100.00486278814350505448483044445020530
MOYENNE D'ÉQUIPE100.0057616783595556606158494646583959
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Nasreddine64474750454650CAN39266,000$


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
1Rocco GrimaldiChicoutimi Sagueneens (FLA)C/LW/RW5044-100358260.00%27014.1200000000080037.50%832001.1300000100
2Jakub ZborilChicoutimi Sagueneens (FLA)D5044-2209104330.00%712024.060000600008000.00%007000.6601000010
3Miikka SalomakiChicoutimi Sagueneens (FLA)C/LW/RW513400058144147.14%68316.6200005000000039.39%3321000.9600000000
4Jacob de La RoseChicoutimi Sagueneens (FLA)C/LW5213020771581813.33%39118.2800005000070152.94%3432000.6600000100
5Dylan GambrellChicoutimi Sagueneens (FLA)C5213-10082205910.00%36112.3600000000000065.00%4032000.9700000000
6Scott WilsonChicoutimi Sagueneens (FLA)C/LW/RW5112-17596203105.00%210020.0300006000130036.36%1123000.4000100000
7Garnet HathawayChicoutimi Sagueneens (FLA)C/LW/RW5112-180166178175.88%310621.21000060000100020.48%8354000.3800000000
8Spencer FooChicoutimi Sagueneens (FLA)LW/RW52020006111041020.00%48216.5600005000001040.00%541000.4800000000
9Libor HajekChicoutimi Sagueneens (FLA)D5022-21159108140.00%1111623.3900007000010000.00%0210000.3400100000
10Mike VecchioneChicoutimi Sagueneens (FLA)C/RW5202-1002162333.33%25511.080000000000000.00%001000.7200000000
11Aleksi SaarelaChicoutimi Sagueneens (FLA)C/LW5101-1205102010205.00%310921.91000060003130052.69%9321000.1800000000
12Brayden BurkeChicoutimi Sagueneens (FLA)LW/RW5011-400213230.00%0428.420000000000000.00%030000.4700000000
13Alex LintuniemiChicoutimi Sagueneens (FLA)D5011-375888870.00%1113226.4200006000214000.00%016000.1500010000
14Jacob NilssonChicoutimi Sagueneens (FLA)D5000-100347310.00%29919.910000500028000.00%002000.0000000000
15Clark BishopChicoutimi Sagueneens (FLA)C5000-400315050.00%1397.8500001000030063.64%1100000.0000000000
16Josh JoorisChicoutimi Sagueneens (FLA)C/LW/RW5000-400682110.00%2428.5300000000000050.00%800000.0000000000
17Jeff TaylorChicoutimi Sagueneens (FLA)D5000-200625040.00%07515.020000100001000.00%002000.0000000000
18Corey TroppChicoutimi Sagueneens (FLA)LW/RW2000000131020.00%0115.550000000000000.00%000000.0000000000
19Jonathan RacineChicoutimi Sagueneens (FLA)D5000-240240110.00%26513.120000000003000.00%013000.0000000000
Stats d'équipe Total ou en Moyenne92121931-304315110107173651386.94%64150516.370000690008961143.87%3263147000.4101210210
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
1Marcus HogbergChicoutimi Sagueneens (FLA)51400.9013.953040020202122100.000050001
Stats d'équipe Total ou en Moyenne51400.9013.953040020202122100.000050001


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 Cap 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
Aaron DellChicoutimi Sagueneens (FLA)G291989-05-04No200 Lbs6 ft0NoNoNo1Pro & Farm1,900,000$0$0$NoLien
Adin HillChicoutimi Sagueneens (FLA)G221996-05-11No202 Lbs6 ft6NoNoNo1Pro & Farm708,750$0$0$NoLien
Aleksi SaarelaChicoutimi Sagueneens (FLA)C/LW211997-01-07No198 Lbs5 ft11NoNoNo1Pro & Farm753,333$0$0$NoLien
Alex LintuniemiChicoutimi Sagueneens (FLA)D221995-09-23No231 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Anthony StolarzChicoutimi Sagueneens (FLA)G241994-01-20No210 Lbs6 ft6NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Braden ChristofferChicoutimi Sagueneens (FLA)C/LW231994-08-02No188 Lbs5 ft10NoNoNo0Pro & Farm0$0$NoLien
Brayden BurkeChicoutimi Sagueneens (FLA)LW/RW211997-01-01Yes170 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Clark BishopChicoutimi Sagueneens (FLA)C221996-03-29No194 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Corey TroppChicoutimi Sagueneens (FLA)LW/RW281989-07-25No185 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Dylan GambrellChicoutimi Sagueneens (FLA)C211996-08-26Yes195 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Dylan SikuraChicoutimi Sagueneens (FLA)C/LW/RW231995-06-01Yes158 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Garnet HathawayChicoutimi Sagueneens (FLA)C/LW/RW261991-11-23No208 Lbs6 ft2NoNoNo4Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$Lien
Jacob NilssonChicoutimi Sagueneens (FLA)D162002-03-02Yes181 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien
Jacob de La RoseChicoutimi Sagueneens (FLA)C/LW231995-05-19No210 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Jakub ZborilChicoutimi Sagueneens (FLA)D211997-02-21No200 Lbs6 ft2NoNoNo2Pro & Farm1,288,000$0$0$No1,288,000$Lien
Jeff TaylorChicoutimi Sagueneens (FLA)D241994-04-13No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien
Jonathan AngChicoutimi Sagueneens (FLA)C201998-01-31Yes165 Lbs5 ft11NoNoNo3Pro & Farm745,000$0$0$No745,000$745,000$Lien
Jonathan RacineChicoutimi Sagueneens (FLA)D251993-05-28Yes194 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$NoLien
Josh JoorisChicoutimi Sagueneens (FLA)C/LW/RW271990-07-13No197 Lbs6 ft1YesNoNo1Pro & Farm700,000$0$0$NoLien
Libor HajekChicoutimi Sagueneens (FLA)D201998-02-03Yes202 Lbs6 ft2NoNoNo3Pro & Farm833,333$0$0$No833,333$833,333$Lien
Ludwig BystromChicoutimi Sagueneens (FLA)D231994-07-20No175 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Marcus HogbergChicoutimi Sagueneens (FLA)G231994-11-24No209 Lbs6 ft5NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Maxim LetunovChicoutimi Sagueneens (FLA)C221996-02-19Yes180 Lbs6 ft4NoNoNo1Pro & Farm833,750$0$0$NoLien
Miikka SalomakiChicoutimi Sagueneens (FLA)C/LW/RW251993-03-08No203 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien
Mike VecchioneChicoutimi Sagueneens (FLA)C/RW251993-02-25No194 Lbs5 ft10NoNoNo1Pro & Farm900,000$0$0$NoLien
Nolan StevensChicoutimi Sagueneens (FLA)C211996-07-21Yes183 Lbs6 ft3NoNoNo1Pro & Farm842,500$0$0$NoLien
Pascal LabergeChicoutimi Sagueneens (FLA)C201998-04-08Yes173 Lbs6 ft1NoNoNo3Pro & Farm780,833$0$0$No780,833$780,833$Lien
Rocco GrimaldiChicoutimi Sagueneens (FLA)C/LW/RW251993-02-08No180 Lbs5 ft6NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Samuel LabergeChicoutimi Sagueneens (FLA)LW211997-04-10No205 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
Scott WilsonChicoutimi Sagueneens (FLA)C/LW/RW261992-04-24No183 Lbs5 ft11NoNoNo1Pro & Farm1,050,000$0$0$NoLien
Spencer FooChicoutimi Sagueneens (FLA)LW/RW241994-05-18No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien
Ville HussoChicoutimi Sagueneens (FLA)G231995-02-05No205 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Zach FryeChicoutimi Sagueneens (FLA)D241994-03-25No201 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3323.03192 Lbs6 ft11.36771,530$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Garnet HathawayAleksi SaarelaScott Wilson38122
2Jacob de La RoseMiikka SalomakiSpencer Foo30023
3Rocco GrimaldiDylan GambrellMike Vecchione20122
4Josh JoorisClark BishopBrayden Burke12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekAlex Lintuniemi37122
2Jakub ZborilJacob Nilsson32122
3Jeff TaylorJonathan Racine23122
4Jakub ZborilAlex Lintuniemi8122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Aleksi SaarelaGarnet HathawayScott Wilson60023
2Miikka SalomakiJacob de La RoseSpencer Foo40023
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekAlex Lintuniemi60122
2Jakub ZborilJacob Nilsson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Garnet HathawayAleksi Saarela60122
2Jacob de La RoseScott Wilson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekAlex Lintuniemi60122
2Jakub ZborilJacob Nilsson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Garnet Hathaway60122Libor HajekAlex Lintuniemi60122
2Aleksi Saarela40122Jakub ZborilJacob Nilsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Garnet HathawayAleksi Saarela60122
2Jacob de La RoseScott Wilson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekAlex Lintuniemi60122
2Jakub ZborilJacob Nilsson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Aleksi SaarelaGarnet HathawayScott WilsonLibor HajekAlex Lintuniemi
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Aleksi SaarelaGarnet HathawayScott WilsonLibor HajekAlex Lintuniemi
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Clark Bishop, Dylan Gambrell, Rocco GrimaldiClark Bishop, Dylan GambrellRocco Grimaldi
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jeff Taylor, Jonathan Racine, Jakub ZborilJeff TaylorJonathan Racine, Jakub Zboril
Tirs de Pénalité
Garnet Hathaway, Aleksi Saarela, Jacob de La Rose, Scott Wilson, Dylan Gambrell
Gardien
#1 : Marcus Hogberg, #2 : Anthony Stolarz


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
1Philadelphia Phantoms514000001220-821100000610-430300000610-420.20012193100236117344646322026443110800.00%15286.67%05212043.33%5412144.63%378543.53%9956112499343
Total514000001220-821100000610-430300000610-420.20012193100236117344646322026443110800.00%15286.67%05212043.33%5412144.63%378543.53%9956112499343
_Since Last GM Reset514000001220-821100000610-430300000610-420.20012193100236117344646322026443110800.00%15286.67%05212043.33%5412144.63%378543.53%9956112499343
_Vs Conference514000001220-821100000610-430300000610-420.20012193100236117344646322026443110800.00%15286.67%05212043.33%5412144.63%378543.53%9956112499343

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L2121931173202644311000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001220
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2110000610
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000610
Derniers 10 Matchs
WLOTWOTL SOWSOL
041000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
800.00%15286.67%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
44646322361
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
5212043.33%5412144.63%378543.53%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9956112499343


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 - 2019-10-041Chicoutimi Sagueneens1Philadelphia Phantoms3LSommaire du Match
2 - 2019-10-059Chicoutimi Sagueneens3Philadelphia Phantoms4LSommaire du Match
3 - 2019-10-0617Philadelphia Phantoms4Chicoutimi Sagueneens5WXSommaire du Match
4 - 2019-10-0725Philadelphia Phantoms6Chicoutimi Sagueneens1LSommaire du Match
5 - 2019-10-0833Chicoutimi Sagueneens2Philadelphia Phantoms3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance3,5961,802
Assistance PCT89.90%90.10%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 2699 - 89.97% 113,903$227,806$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,546,049$ 2,818,549$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




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
Saison Régulière
2016824328022613753086741191402240189150394124140002118615828863756099844156158153123232870121911254229021024115421642257232.00%2136370.42%11048198552.80%1028190953.85%768140754.58%174896616747661537762
201782352905544376353234117150323118717512411814023131891781170376621997307116213413304886611959604730301022115620422337331.33%2337468.24%5893181549.20%890189247.04%698147847.23%170893017017751565772
2018823731044153663264041191402213197163344118170220216916367436660497041721431466294582010581045372891933151819222407330.42%2567969.14%7890172951.47%917187149.01%788145754.08%168689616897891583781
2019823230045653933712241171601232192180124115140333320119110643936341027408515014818311695411279957931051019124718722257232.00%2468465.85%6852167150.99%928183550.57%843153554.92%173795917047651553770
Total Saison Régulière328147118015161715151013581521647259088116765668971647559078697456905529415102468397815228461358149123413510459941252051192839985075800092329031.42%94830068.35%193683720051.15%3763750750.13%3097587752.70%687937536770309662383085
2019514000001220-821100000610-430300000610-4212193100236117344646322026443110800.00%15286.67%05212043.33%5412144.63%378543.53%9956112499343
Total Séries514000001220-821100000610-430300000610-4212193100236117344646322026443110800.00%15286.67%05212043.33%5412144.63%378543.53%9956112499343