Saints

GP: 8 | W: 6 | L: 2 | OTL: 0 | P: 12
GF: 32 | GA: 24 | PP%: 26.67% | PK%: 83.33%
DG: Serge Simard | Morale : 56 | Moyenne d'Équipe : 66
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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 SPÂgeContratSalaire
1Connor ZaryXX99.00654189776570877745767358255151056700233863,333$
2Eetu LuostarinenXX99.008144898170729966596468832566680567002611,500,000$
3Jack McBainXX100.00958979778363926376726275256060056700241883,750$
4Kent JohnsonXX100.00594091806365837837696661635959058690212925,000$
5Alex IafalloX99.006542978068708874356564733773740566903014,000,000$
6Oskar SundqvistXX99.007744868177648671726658802568690566903012,750,000$
7Carl GrundstromX100.008846918073577265315870646364650586802611,300,000$
8Justin DanforthXX100.008044887665675966646866762558580506803121,999,999$
9Connor DewarXX100.00825788756159956564606882256263052680251825,833$
10Morgan BarronX100.00805590788356926446596676756061045680251925,000$
11William CarrierX100.008846877979586565405568672568720526702931,400,000$
12Lane PedersonX100.00747082657072746580616467615454050650272750,000$
13Ty EmbersonX100.00964793667176666425644882254646041700243775,000$
14Connor CliftonX99.009177707664709663255348864566690567002933,333,333$
15Nick PerbixX99.00754495727771916225634877256061058690262842,500$
16Daniil MiromanovX100.006142897477815881255254722547470586702721,497,500$
17Wyatt Kaiser (R)X100.00694280716472716225564783254646045660223916,667$
18Nick BlankenburgX100.00834489786169565925394975254949056630262825,000$
Rayé
1Tye Kartye (R)XX100.00955685757261916344616664255455042660233859,167$
2Cole SmithXX100.00948978657565926633646084256060047660283925,000$
3Kole LindX100.00686673676683876750686162584646042650252874,125$
4Jaret Anderson-DolanXXX69.42834493796758606242605667255859043640254775,000$
5Nick Abruzzese (R)XX100.00706289626282876379625962564545042620252850,000$
6Jonah GadjovichX100.00869935747848596325555763255858042610251783,333$
7William Dufour (R)X100.00767383607374785850496364604444042600222859,167$
8Haydn FleuryX88.617844777677695264255248827564650416702821,300,000$
9Pierre-Olivier JosephX100.007343917470668263255248742560600426602500$
10Robin Salo (R)X100.00746789656769745125464161394545042580251842,500$
MOYENNE D'ÉQUIPE98.2579568574716778654360597238575704966
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
1Anton Forsberg100.0062595978655869616562596060058620
2Ivan Prosvetov100.0059565566655269606559754646047600
Rayé
MOYENNE D'ÉQUIPE100.006158577265556961656167535305361
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Allaire40404040404040TUR802500,000$


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
1Kent JohnsonSaints (SAJ)C/LW824600071516121512.50%113116.40123325000160042.45%10600000.9100000100
2Connor CliftonSaints (SAJ)D6246220159901422.22%1813823.11123222000017000.00%000000.8700000101
3Oskar SundqvistSaints (SAJ)C/RW6156-220127123138.33%011018.40134122000050031.25%1600001.0900000010
4Connor ZarySaints (SAJ)C/LW6325-3004112141314.29%113322.251017250000171042.86%7000000.7502000100
5Alex IafalloSaints (SAJ)RW6145000313293183.45%011919.93022822000090033.33%1800000.8400000000
6Carl GrundstromSaints (SAJ)RW832504013103112219.68%210012.532131014000010033.33%1200001.0000000010
7Justin DanforthSaints (SAJ)C/RW42355004444550.00%0317.7500012000000060.00%3000003.2200000100
8Eetu LuostarinenSaints (SAJ)C/LW622404015181862211.11%012721.261234240001120059.06%17100000.6311000010
9Haydn FleurySaints (SAJ)D5134010015261516.67%1310420.8711251601109000.00%000000.7700000011
10Jack McBainSaints (SAJ)C/LW613401001610981211.11%210517.51000214000050152.50%4000000.7622000000
11Connor DewarSaints (SAJ)C/LW51234203753920.00%0479.540000000000000.00%200001.2600000000
12Daniil MiromanovSaints (SAJ)D8123-5402573814.29%513116.4510131400017100.00%000000.4600000000
13Nick PerbixSaints (SAJ)D8022180789370.00%1015419.30000521011017000.00%000000.2600000000
14Nick BlankenburgSaints (SAJ)D6022060416030.00%99415.740000000003000.00%000000.4200000000
15Wyatt KaiserSaints (SAJ)D41124202322350.00%77719.4101113000010000.00%000000.5200000000
16Lane PedersonSaints (SAJ)C42021001651240.00%14611.7000000101120153.57%5600000.8600000000
17Morgan BarronSaints (SAJ)RW8022-30027180100.00%210312.91000010000160014.29%700000.3900000000
18Jaret Anderson-DolanSaints (SAJ)C/LW/RW4011020645190.00%0256.4500000000000060.00%500000.7800000000
19Ty EmbersonSaints (SAJ)D1000-100213020.00%12222.530002400001000.00%000000.0000000000
20William CarrierSaints (SAJ)LW5000-340516150.00%3499.9900000000020050.00%400000.0000000000
21Cole SmithSaints (SAJ)LW/RW2000-100111110.00%063.190000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne116234467-16001391432226819710.36%75186216.05914235423712341472249.53%53700000.7235000442
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
1Anton ForsbergSaints (SAJ)54100.8873.3630400171510101.000353000
2Ivan ProsvetovSaints (SAJ)32100.9212.27185007890001.000232000
Stats d'équipe Total ou en Moyenne86200.9002.9548900242400101.000585000


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 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
Alex IafalloSaints (SAJ)RW301993-12-20No187 Lbs6 ft0NoNoNo1Pro & Farm4,000,000$4,000,000$0$0$NoLien / Lien NHL
Anton ForsbergSaints (SAJ)G311992-11-26No191 Lbs6 ft3NoNoNo2Pro & Farm4,250,000$4,250,000$0$0$No4,250,000$Lien / Lien NHL
Carl GrundstromSaints (SAJ)RW261997-12-01No200 Lbs6 ft0NoNoNo1Pro & Farm1,300,000$1,300,000$0$0$NoLien / Lien NHL
Cole SmithSaints (SAJ)LW/RW281995-10-28No194 Lbs6 ft3NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Connor CliftonSaints (SAJ)D291995-04-28No174 Lbs5 ft11NoNoNo3Pro & Farm3,333,333$3,333,333$0$0$No3,333,333$3,333,333$Lien / Lien NHL
Connor DewarSaints (SAJ)C/LW251999-06-26No169 Lbs5 ft10NoNoNo1Pro & Farm825,833$825,833$0$0$NoLien / Lien NHL
Connor ZarySaints (SAJ)C/LW232001-09-25No178 Lbs6 ft0NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$Lien
Daniil MiromanovSaints (SAJ)D271997-07-11No202 Lbs6 ft4NoNoNo2Pro & Farm1,497,500$1,497,500$0$0$No1,497,500$Lien
Eetu LuostarinenSaints (SAJ)C/LW261998-09-02No183 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$1,500,000$0$0$NoLien / Lien NHL
Haydn Fleury (Sur la Masse Salariale)Saints (SAJ)D281996-07-08No207 Lbs6 ft3NoNoNo2Pro & Farm1,300,000$1,300,000$0$0$No1,300,000$Lien / Lien NHL
Ivan ProsvetovSaints (SAJ)G251999-03-05No161 Lbs6 ft3NoNoNo3Pro & Farm2,200,000$2,200,000$0$0$No2,200,000$2,200,000$Lien / Lien NHL
Jack McBainSaints (SAJ)C/LW242000-06-06No218 Lbs6 ft4NoNoNo1Pro & Farm883,750$883,750$0$0$NoLien
Jaret Anderson-Dolan (Sur la Masse Salariale)Saints (SAJ)C/LW/RW251999-09-12No187 Lbs5 ft11NoNoNo4Pro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$Lien / Lien NHL
Jonah GadjovichSaints (SAJ)RW251998-10-12No200 Lbs6 ft2NoNoNo1Pro & Farm783,333$783,333$0$0$NoLien / Lien NHL
Justin DanforthSaints (SAJ)C/RW311993-03-15No185 Lbs5 ft9NoNoNo2Pro & Farm1,999,999$1,999,999$0$0$No1,999,999$Lien
Kent JohnsonSaints (SAJ)C/LW212002-10-18No167 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Kole LindSaints (SAJ)RW251998-10-16No176 Lbs6 ft1NoNoNo2Pro & Farm874,125$874,125$0$0$No874,125$Lien
Lane PedersonSaints (SAJ)C271997-08-04No190 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Morgan BarronSaints (SAJ)RW251998-12-02No220 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Nick AbruzzeseSaints (SAJ)C/LW251999-04-06Yes174 Lbs5 ft10NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien
Nick BlankenburgSaints (SAJ)D261998-05-12No174 Lbs5 ft9NoNoNo2Pro & Farm825,000$825,000$0$0$No825,000$Lien
Nick PerbixSaints (SAJ)D261998-06-15No200 Lbs6 ft4NoNoNo2Pro & Farm842,500$842,500$0$0$No842,500$Lien
Oskar SundqvistSaints (SAJ)C/RW301994-03-23No209 Lbs6 ft3NoNoNo1Pro & Farm2,750,000$2,750,000$0$0$NoLien / Lien NHL
Pierre-Olivier JosephSaints (SAJ)D251999-07-01No185 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Robin SaloSaints (SAJ)D251998-10-13Yes181 Lbs6 ft0NoNoNo1Pro & Farm842,500$842,500$0$0$NoLien
Ty EmbersonSaints (SAJ)D242000-05-24No194 Lbs6 ft1NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien
Tye KartyeSaints (SAJ)C/LW232001-04-30Yes202 Lbs5 ft11NoNoNo3Pro & Farm859,167$859,167$0$0$No859,167$859,167$Lien
William CarrierSaints (SAJ)LW291994-12-20No218 Lbs6 ft2NoNoNo3Pro & Farm1,400,000$1,400,000$0$0$No1,400,000$1,400,000$Lien / Lien NHL
William DufourSaints (SAJ)RW222002-01-28Yes195 Lbs6 ft2NoNoNo2Pro & Farm859,167$859,167$0$0$No859,167$Lien
Wyatt KaiserSaints (SAJ)D222002-07-31Yes172 Lbs6 ft0NoNoNo3Pro & Farm916,667$916,667$0$0$No916,667$916,667$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3025.93190 Lbs6 ft11.971,361,040$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Connor ZaryEetu LuostarinenOskar Sundqvist35122
2Jack McBainLane PedersonAlex Iafallo35122
3William CarrierKent JohnsonMorgan Barron25122
4Connor DewarJustin DanforthCarl Grundstrom5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonNick Perbix35122
2Ty EmbersonDaniil Miromanov35122
3Wyatt KaiserNick Blankenburg25122
4Connor CliftonNick Perbix5122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Connor ZaryEetu LuostarinenOskar Sundqvist60122
2Eetu LuostarinenOskar SundqvistAlex Iafallo40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonNick Perbix60122
2Ty EmbersonDaniil Miromanov40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Eetu LuostarinenConnor Zary60122
2Oskar SundqvistEetu Luostarinen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonNick Perbix60122
2Ty EmbersonDaniil Miromanov40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Eetu Luostarinen60122Connor CliftonNick Perbix60122
2Oskar Sundqvist40122Ty EmbersonDaniil Miromanov40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Eetu LuostarinenConnor Zary60122
2Oskar SundqvistEetu Luostarinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonNick Perbix60122
2Ty EmbersonDaniil Miromanov40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Connor ZaryEetu LuostarinenOskar SundqvistConnor CliftonNick Perbix
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Connor ZaryEetu LuostarinenOskar SundqvistConnor CliftonNick Perbix
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Iafallo, Kent Johnson, Justin DanforthAlex Iafallo, Kent JohnsonAlex Iafallo
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Daniil Miromanov, Wyatt Kaiser, Nick BlankenburgDaniil MiromanovDaniil Miromanov, Wyatt Kaiser
Tirs de Pénalité
Connor Zary, Eetu Luostarinen, Jack McBain, Oskar Sundqvist, Alex Iafallo
Gardien
#1 : Ivan Prosvetov, #2 : Anton Forsberg


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
1Bulldogs 210000101156100000105411100000061541.0001117280011118380961049574027164414428.57%7185.71%115330650.00%12127344.32%6012747.24%198140193599848
2Hit Man 22000000954110000005321100000042241.000917260011118391961049577017144813430.77%7185.71%015330650.00%12127344.32%6012747.24%198140193599848
3Phantoms201000107701010000045-11000001032120.50071219001111836496104957612522388112.50%8275.00%015330650.00%12127344.32%6012747.24%198140193599848
4Titans 2110000057-21010000003-31100000054120.500510150011118362961049576919224410330.00%8187.50%015330650.00%12127344.32%6012747.24%198140193599848
Total8420002032248412000101415-1430000101899120.75032568800111183297961049572408874174451226.67%30583.33%115330650.00%12127344.32%6012747.24%198140193599848
_Since Last GM Reset8420002032248412000101415-1430000101899120.75032568800111183297961049572408874174451226.67%30583.33%115330650.00%12127344.32%6012747.24%198140193599848
_Vs Conference8420002032248412000101415-1430000101899120.75032568800111183297961049572408874174451226.67%30583.33%115330650.00%12127344.32%6012747.24%198140193599848
_Vs Division44200020161242120001057-2230000101156121.500162743001111831429610495710946388824729.17%15286.67%115330650.00%12127344.32%6012747.24%198140193599848

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
812W2325688297240887417400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
84200203224
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41200101415
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4300010189
Derniers 10 Matchs
WLOTWOTL SOWSOL
620000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
451226.67%30583.33%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
96104957111183
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
15330650.00%12127344.32%6012747.24%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
198140193599848


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
2 - 2024-09-189Bulldogs 4Saints 5WXXSommaire du Match
4 - 2024-09-2020Hit Man 3Saints 5WSommaire du Match
5 - 2024-09-2125Saints 5Titans 4WSommaire du Match
7 - 2024-09-2341Saints 3Phantoms2WXXSommaire du Match
9 - 2024-09-2549Titans 3Saints 0LSommaire du Match
12 - 2024-09-2864Phantoms5Saints 4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2024-09-2968Saints 6Bulldogs 1WSommaire du Match
14 - 2024-09-3071Saints 4Hit Man 2WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3518
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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,875,620$ 3,520,286$ 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$ 1 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
Séries
202140400000920-1120200000411-72020000059-4091322004230107303641012824408118527.78%18761.11%06113844.20%5613441.79%306347.62%885799315125
Total Séries40400000920-1120200000411-72020000059-4091322004230107303641012824408118527.78%18761.11%06113844.20%5613441.79%306347.62%885799315125