Senators

GP: 8 | W: 4 | L: 4
GF: 21 | GA: 26 | PP%: 22.22% | PK%: 82.35%
DG: Olivier Paquin | Morale : 50 | Moyenne d'Équipe : 56
Prochain matchs #65 vs Phantoms
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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 Moyen
1Alex Formenton (R)X100.00727371767367686650616864654444050620202742,500$
2Brendan PerliniXX100.00694490847959716626585960756464050620232850,000$
3Alexandre Texier (R)X100.00674290837163676442657060254747050620203925,000$
4Kevin RooneyX100.00796587687362816066585879255656050620263850,000$
5Jayce HawrylukXX100.008746826767585461386762602557570505902321,300,000$
6Jaret Anderson-Dolan (R)XX100.00726783796763645974595462514444050590203792,500$
7Mackenzie MacEachernX100.00816483627253746232546267255555050590254560,000$
8Jeremy BraccoX100.00756596606473775850694964454747050590221700,000$
9Anthony RichardXX100.00706287625980855467485863565555050580221860,000$
10Jansen HarkinsX100.00675091676860825436585661255353050580221825,000$
11Isaac Ratcliffe (R)X100.00797979677970765050474863464444050560204780,833$
12Matthew Strome (R)X100.00827892557861644950454864464444050540203990,000$
13Andrew Peeke (R)X100.00764493767463635725484863254646050600212825,000$
14Grant Hutton (R)X100.00797783657764685125444363414444050580241560,000$
15Thomas SchemitschX100.00797781607768745025384262394444050570221700,000$
16Tyler LewingtonX100.00687152627372754825394159404444050560241525,000$
17Joseph CecconiX100.00817691617652544425343963374444050550222925,000$
Rayé
1Kristian ReichelX100.00716586676562645670466261594444050560211560,000$
2Dmitrij JaskinXX100.00703588637552454735474758474946050520262560,000$
3Cam Morrison (R)X100.00414545457439394145414145433230050420212825,000$
4Luke Martin (R)X100.00575585607854763525343050325858050520214700,000$
MOYENNE D'ÉQUIPE100.0072618366726268544250526142484805057
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
1Kasimir Kaskisuo100.0056597378575953595658304444050570
2Filip Gustavsson100.0055577172495851615753304444050550
Rayé
1Maksim Zhukov (R)100.0045666270404740444043435454050490
2Kent Simpson100.0037454174363333343333333532050390
MOYENNE D'ÉQUIPE100.004857627446494450474734444405050
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Alexandre TexierSenators (Ott)C84481001244312239.30%015719.650335150000170034.03%19100001.0200000100
2Jayce HawrylukSenators (Ott)C/RW833602023102051915.00%013917.44202715000000257.14%1400000.8600000000
3Jaret Anderson-DolanSenators (Ott)C/LW8426-26011262271418.18%112916.1500001000021055.56%13500000.9300000100
4Mackenzie MacEachernSenators (Ott)LW8156040166216214.76%113917.40123315000000050.00%800000.8600000000
5Alex FormentonSenators (Ott)LW850504016194082012.50%318723.441019140004303055.41%7400000.5300000011
6Tyler LewingtonSenators (Ott)D805521201835140.00%817421.86011215000023000.00%000000.5700000010
7Andrew PeekeSenators (Ott)D8134-340111012248.33%1318723.41011514000027010.00%000000.4300000010
8Jeremy BraccoSenators (Ott)RW8134-3401115122118.33%014017.61000020000140050.00%2200000.5700000001
9Kevin RooneySenators (Ott)C8134-3601122249124.17%515419.320004140001160060.91%19700000.5200000000
10Brendan PerliniSenators (Ott)LW/RW8033-22021122580.00%216821.020003140002310030.77%1300000.3600000000
11Jansen HarkinsSenators (Ott)C8022-220444350.00%1012115.1700000000000034.62%2600000.3300000000
12Joseph CecconiSenators (Ott)D8112-28023333433.33%612715.8900002000014000.00%000000.3100000000
13Grant HuttonSenators (Ott)D8022-2202036060.00%918823.51011214000028000.00%000000.2100000000
14Anthony RichardSenators (Ott)C/LW8011-2201013154100.00%012215.2700000000000058.33%1200000.1600000000
15Isaac RatcliffeSenators (Ott)LW8011200403040.00%1253.13000000000000100.00%100000.8000000000
16Thomas SchemitschSenators (Ott)D8011223516410330.00%1416921.22000614000026000.00%000000.1200100000
17Matthew StromeSenators (Ott)LW8000-120240110.00%1253.1900001000090050.00%1200000.0000000000
Stats d'équipe Total ou en Moyenne136213960-15835199177262711698.02%74235717.3348124615600072434349.79%70500000.5100100232
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
1Kasimir KaskisuoSenators (Ott)84300.9233.0944601232980110.000080212
2Filip GustavssonSenators (Ott)10100.9003.3336002200000.000008000
Stats d'équipe Total ou en Moyenne94400.9213.1148301253180110.000088212


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 FormentonSenators (Ott)LW201999-09-13Yes190 Lbs6 ft3NoNoNo2Pro & Farm742,500$265,178$74,250$26,518$No742,500$Lien
Alexandre TexierSenators (Ott)C201999-09-13Yes192 Lbs6 ft1NoNoNo3Pro & Farm925,000$330,357$92,500$33,036$No925,000$925,000$Lien
Andrew PeekeSenators (Ott)D211998-03-17Yes198 Lbs6 ft3NoNoNo2Pro & Farm825,000$294,642$82,500$29,464$No825,000$Lien
Anthony RichardSenators (Ott)C/LW221996-12-19No163 Lbs5 ft10YesNoNo1Pro & Farm860,000$307,142$86,000$30,714$NoLien
Brendan PerliniSenators (Ott)LW/RW231996-04-27No212 Lbs6 ft3NoNoNo2Pro & Farm850,000$303,571$85,000$30,357$No850,000$Lien
Cam MorrisonSenators (Ott)LW211998-08-27Yes212 Lbs6 ft3NoNoNo2Pro & Farm825,000$294,642$82,500$29,464$No825,000$Lien
Dmitrij JaskinSenators (Ott)LW/RW261993-03-23No216 Lbs6 ft2NoNoNo2Pro & Farm560,000$200,000$56,000$20,000$No560,000$Lien
Filip GustavssonSenators (Ott)G211998-06-07No184 Lbs6 ft2NoNoNo2Pro & Farm742,500$265,178$74,250$26,518$No742,500$Lien
Grant HuttonSenators (Ott)D241995-07-25Yes205 Lbs6 ft3YesNoNo1Pro & Farm560,000$200,000$56,000$20,000$NoLien
Isaac RatcliffeSenators (Ott)LW201999-02-15Yes201 Lbs6 ft6NoNoNo4Pro & Farm780,833$278,868$78,083$27,887$No780,833$780,833$780,833$Lien
Jansen HarkinsSenators (Ott)C221997-05-23No182 Lbs6 ft1NoNoNo1Pro & Farm825,000$294,642$82,500$29,464$NoLien
Jaret Anderson-DolanSenators (Ott)C/LW201999-09-11Yes188 Lbs5 ft11NoNoNo3Pro & Farm792,500$283,035$79,250$28,304$No792,500$792,500$Lien
Jayce HawrylukSenators (Ott)C/RW231996-01-01No186 Lbs5 ft11NoNoNo2Pro & Farm1,300,000$464,285$130,000$46,429$No1,300,000$Lien
Jeremy BraccoSenators (Ott)RW221997-03-17No180 Lbs5 ft9NoNoNo1Pro & Farm700,000$250,000$70,000$25,000$NoLien
Joseph CecconiSenators (Ott)D221997-05-23No209 Lbs6 ft2NoNoNo2Pro & Farm925,000$330,357$92,500$33,036$No925,000$Lien
Kasimir KaskisuoSenators (Ott)G261993-10-01No201 Lbs6 ft2NoNoNo2Pro & Farm925,000$330,357$92,500$33,036$No925,000$Lien
Kent SimpsonSenators (Ott)G271992-03-26No198 Lbs6 ft2NoNoNo1Pro & Farm550,000$196,428$55,000$19,643$NoLien
Kevin RooneySenators (Ott)C261993-05-21No190 Lbs6 ft2NoNoNo3Pro & Farm850,000$303,571$85,000$30,357$No850,000$850,000$Lien
Kristian ReichelSenators (Ott)C211998-06-11No176 Lbs6 ft0YesNoNo1Pro & Farm560,000$200,000$56,000$20,000$NoLien
Luke MartinSenators (Ott)D211998-09-20Yes218 Lbs6 ft2NoNoNo4Pro & Farm700,000$250,000$70,000$25,000$No700,000$700,000$700,000$Lien
Mackenzie MacEachernSenators (Ott)LW251994-03-08No190 Lbs6 ft2YesNoNo4Pro & Farm560,000$200,000$56,000$20,000$No560,000$560,000$560,000$Lien
Maksim ZhukovSenators (Ott)G201999-07-22Yes187 Lbs6 ft3YesNoNo1Pro & Farm560,000$200,000$56,000$20,000$NoLien
Matthew StromeSenators (Ott)LW201999-01-05Yes206 Lbs6 ft4YesNoNo3Pro & Farm990,000$353,571$99,000$35,357$No990,000$990,000$Lien
Thomas SchemitschSenators (Ott)D221996-10-25No200 Lbs6 ft4NoNoNo1Pro & Farm700,000$250,000$70,000$25,000$NoLien
Tyler LewingtonSenators (Ott)D241994-12-05No189 Lbs6 ft1NoNoNo1Pro & Farm525,000$187,500$52,500$18,750$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2522.36195 Lbs6 ft22.04765,333$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex FormentonKevin RooneyBrendan Perlini40122
2Mackenzie MacEachernAlexandre TexierJayce Hawryluk30122
3Anthony RichardJaret Anderson-DolanJeremy Bracco20122
4Isaac RatcliffeJansen HarkinsAlex Formenton10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew PeekeGrant Hutton40122
2Thomas SchemitschTyler Lewington30122
3Joseph CecconiJansen Harkins20122
4Andrew PeekeGrant Hutton10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex FormentonKevin RooneyBrendan Perlini60122
2Mackenzie MacEachernAlexandre TexierJayce Hawryluk40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew PeekeGrant Hutton60122
2Thomas SchemitschTyler Lewington40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alex FormentonBrendan Perlini60122
2Kevin RooneyAlexandre Texier40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew PeekeGrant Hutton60122
2Thomas SchemitschTyler Lewington40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Alex Formenton60122Andrew PeekeGrant Hutton60122
2Brendan Perlini40122Thomas SchemitschTyler Lewington40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alex FormentonBrendan Perlini60122
2Kevin RooneyAlexandre Texier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew PeekeGrant Hutton60122
2Thomas SchemitschTyler Lewington40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex FormentonKevin RooneyBrendan PerliniAndrew PeekeGrant Hutton
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex FormentonKevin RooneyBrendan PerliniAndrew PeekeGrant Hutton
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matthew Strome, Jaret Anderson-Dolan, Jeremy BraccoMatthew Strome, Jaret Anderson-DolanJeremy Bracco
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joseph Cecconi, Thomas Schemitsch, Tyler LewingtonJoseph CecconiThomas Schemitsch, Tyler Lewington
Tirs de Pénalité
Alex Formenton, Brendan Perlini, Kevin Rooney, Alexandre Texier, Mackenzie MacEachern
Gardien
#1 : Kasimir Kaskisuo, #2 : Filip Gustavsson


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
1Marlies642000001516-132100000532321000001013-380.6671528430176712048186941238565415714321.43%27485.19%013926951.67%15230250.33%6013444.78%1741152026110650
2Phantoms20200000610-40000000000020200000610-400.00061117107671588186941811829424125.00%7271.43%013926951.67%15230250.33%6013444.78%1741152026110650
Total844000002126-532100000532523000001623-780.5002139601176712628186941319748319918422.22%34682.35%013926951.67%15230250.33%6013444.78%1741152026110650
_Since Last GM Reset844000002126-532100000532523000001623-780.5002139601176712628186941319748319918422.22%34682.35%013926951.67%15230250.33%6013444.78%1741152026110650
_Vs Conference844000002126-532100000532523000001623-780.5002139601176712628186941319748319918422.22%34682.35%013926951.67%15230250.33%6013444.78%1741152026110650

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
88L2213960262319748319911
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
84400002126
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000053
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
52300001623
Derniers 10 Matchs
WLOTWOTL SOWSOL
440000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
18422.22%34682.35%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
81869417671
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
13926951.67%15230250.33%6013444.78%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1741152026110650


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 - 2021-04-271Senators3Marlies2WSommaire du Match
3 - 2021-04-299Senators2Marlies7LSommaire du Match
5 - 2021-05-0117Marlies0Senators2WSommaire du Match
7 - 2021-05-0325Marlies2Senators1LSommaire du Match
9 - 2021-05-0533Senators5Marlies4WXSommaire du Match
11 - 2021-05-0741Marlies1Senators2WSommaire du Match
15 - 2021-05-1157Senators4Phantoms6LSommaire du Match
17 - 2021-05-1361Senators2Phantoms4LSommaire du Match
19 - 2021-05-1565Phantoms-Senators-
21 - 2021-05-1769Phantoms-Senators-
23 - 2021-05-1973Senators-Phantoms-
25 - 2021-05-2177Phantoms-Senators-
27 - 2021-05-2381Senators-Phantoms-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets5020
Assistance4,2422,170
Assistance PCT70.70%72.33%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
-3 2137 - 71.24% 85,167$255,500$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,913,333$ 1,913,333$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 25 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 10 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