Senators
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Farlou Ferland | Morale : 50 | Moyenne d'Équipe : N/A
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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
1Alexander Volkov (R)XX100.00757183647181866350625867555555655000223925,000$
2Filip ChlapikX100.00884589777252826239605959535757645000231925,000$
3Marko DanoXX100.00687551767567715650574763455858575000252925,000$
4Michael McLeodX100.008144897970568559746355722547476450002221,363,333$
5Ryan DzingelXX100.006762868271678875357664632564656945002821,800,000$
6Robert ThomasXX100.005941918368688569598468552559617054002021,177,500$
7Nick PaulXX100.00876987718767786177657072255656715000252750,000$
8Tyson JostXX100.007343898569639072516762672561626850002241,673,333$
9Michael Dal ColleXX100.00804492667461756056605862255556634900242700,000$
10Andreas EnglundX100.00899585747455765725504763635757595000244700,000$
11Christian JarosX100.00764486637655725325574765255454595000242755,000$
12Christian WolaninX100.00727078797055594525284362415757515000252925,000$
13Jake DotchinX100.00707949657956594825394061385656515000264700,000$
14Samuel GirardX100.00695191885983937825704866256263664500221935,833$
15Carl DahlstromX100.00614387618665586125464773755959575000251925,000$
Rayé
MOYENNE D'ÉQUIPE100.0074588274736377614359546538575862500
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
1Antoine Bibeau100.0044526582404350524445304444464500
2Artyom Zagidulin (R)100.0051577173495450565252304444534500
Rayé
MOYENNE D'ÉQUIPE100.004855687845495054484930444450450
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gomez59655659595586USA423850,000$


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
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


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 VolkovSenators (OTT)LW/RW221997-08-02Yes191 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Andreas EnglundSenators (OTT)D241996-01-21No189 Lbs6 ft3NoNoNo4Pro & Farm700,000$700,000$0$0$No700,000$700,000$700,000$Lien
Antoine Bibeau (Contrat à 1 Volet)Senators (OTT)G261994-05-01No207 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$75,000$0$No750,000$Lien
Artyom ZagidulinSenators (OTT)G251995-01-01Yes200 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Carl DahlstromSenators (OTT)D251995-01-28No231 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Christian JarosSenators (OTT)D241996-04-02No201 Lbs6 ft3NoNoNo2Pro & Farm755,000$450,000$0$0$No755,000$Lien
Christian WolaninSenators (OTT)D251995-03-17No185 Lbs6 ft2NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Filip ChlapikSenators (OTT)C231997-06-03No196 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Jake DotchinSenators (OTT)D261994-03-24No210 Lbs6 ft3NoNoNo4Pro & Farm700,000$700,000$0$0$No700,000$700,000$700,000$Lien
Marko DanoSenators (OTT)LW/RW251994-11-30No212 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Michael Dal ColleSenators (OTT)LW/RW241996-06-19No198 Lbs6 ft3NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Michael McLeodSenators (OTT)C221998-02-03No187 Lbs6 ft2NoNoNo2Pro & Farm1,363,333$450,000$0$0$No1,363,333$Lien
Nick PaulSenators (OTT)C/LW251995-03-20No230 Lbs6 ft4NoNoNo2Pro & Farm750,000$450,000$0$0$No750,000$Lien
Robert ThomasSenators (OTT)C/RW201999-07-02No188 Lbs6 ft0NoNoNo2Pro & Farm1,177,500$1,177,500$0$0$No1,177,500$Lien
Ryan DzingelSenators (OTT)LW/RW281992-03-09No190 Lbs6 ft0NoNoNo2Pro & Farm1,800,000$1,800,000$0$0$No1,800,000$Lien
Samuel GirardSenators (OTT)D221998-05-12No162 Lbs5 ft10NoNoNo1Pro & Farm935,833$935,833$0$0$NoLien
Tyson JostSenators (OTT)C/LW221998-03-14No191 Lbs5 ft11NoNoNo4Pro & Farm1,673,333$1,673,333$0$0$No1,673,333$1,673,333$1,673,333$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1724.00198 Lbs6 ft12.24981,176$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexander Volkov38122
2Ryan Dzingel30122
3Nick PaulFilip ChlapikMarko Dano27122
4Tyson JostMichael McLeodFilip Chlapik5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl Dahlstrom39122
2Christian JarosChristian Wolanin33122
3Andreas EnglundJake Dotchin28122
4Carl Dahlstrom0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexander Volkov55005
2Ryan DzingelFilip Chlapik45005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl Dahlstrom55005
2Christian JarosChristian Wolanin45005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tyson Jost55230
2Michael McLeodNick Paul45230
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas EnglundJake Dotchin55230
2Christian JarosChristian Wolanin45230
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155140Jake DotchinAndreas Englund55140
2Michael McLeod45140Christian JarosChristian Wolanin45140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
150122
2Ryan Dzingel50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl Dahlstrom50122
2Christian JarosChristian Wolanin50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ChlapikCarl Dahlstrom
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick PaulMichael McLeodCarl Dahlstrom
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Alexander Volkov, Alexander Volkov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Wolanin, Jake Dotchin, Christian WolaninJake Dotchin,
Tirs de Pénalité
, , Filip Chlapik, Michael McLeod,
Gardien
#1 : , #2 : Antoine Bibeau


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité 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$ 1,592,999$ 1,393,666$ 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
202082343504126207224-174121150200310910364113200212398121-23872073495561771725861580525503537371770518103315844646914.87%4455687.42%31033222946.34%1028221846.35%522117644.39%194213612054602970472
Total Saison Régulière82343504126207224-174121150200310910364113200212398121-23872073495561771725861580525503537371770518103315844646914.87%4455687.42%31033222946.34%1028221846.35%522117644.39%194213612054602970472