Senators

GP: 10 | W: 4 | L: 6 | OTL: 0 | P: 8
GF: 25 | GA: 30 | PP%: 16.07% | PK%: 71.70%
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 SP
1Alexander Volkov (R)XX100.00757183647181866350625867555555655000
2Filip ChlapikX100.00884589777252826239605959535757645000
3Joel Farabee (R)X100.00678179846367646734706863534949695000
4Jack RoslovicXX100.00714394796968917049697056256263705000
5Marko DanoXX100.00687551767567715650574763455858575000
6Michael McLeodX100.00814489797056855974635572254747645000
7Kevin RooneyX100.00786887687359816073605887255656665000
8Ryan DzingelXX100.00676286827167887535766463256465695000
9Matthew PecaXXX100.00764399826156626077625575255151655000
10Tyson JostXX100.00734389856963907251676267256162685000
11Michael Dal ColleXX100.00804492667461756056605862255556635000
12Christian JarosX100.00764486637655725325574765255454595000
13Christian WolaninX100.00727078797055594525284362415757515000
14Jake DotchinX100.00707949657956594825394061385656515000
15Carl DahlstromX100.00614387618665586125464773755959575000
Rayé
1Andreas EnglundX100.00899585747455765725504763635757595000
MOYENNE D'ÉQUIPE100.0075598374726175614558556639565662500
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
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
1Filip ChlapikSenators (OTT)C107310025518232771725.93%118118.163258380000233046.63%16300001.1000100201
2Michael McLeodSenators (OTT)C1046103135222436112511.11%518418.41011280000240160.93%15100001.0900001121
3Marko DanoSenators (OTT)LW/RW102680602324255118.00%017917.961451145000050075.00%800000.8900000001
4Carl DahlstromSenators (OTT)D102680215815163912.50%2018918.96123838000016000.00%000000.8400100001
5Joel FarabeeSenators (OTT)LW1033610015132751911.11%620420.471238430000391012.50%800000.5900000011
6Jack RoslovicSenators (OTT)C/RW10156-1801228224174.55%121421.440335440000370058.28%29000000.5600000100
7Dante FabbroSenatorsD82350120189172911.76%1218523.181011336000022000.00%000000.5400000100
8Michael Dal ColleSenators (OTT)LW/RW102130401781641412.50%418218.232136450000150054.55%2200000.3300000011
9Christian WolaninSenators (OTT)D101121606760316.67%612612.690002500000000.00%000000.3200000010
10Jake DotchinSenators (OTT)D1002211602161010.00%913213.2200000000012000.00%000000.3000000010
Stats d'équipe Total ou en Moyenne982436605111151601571934112512.44%64178018.17915246330700001974155.45%64200000.6700201566
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'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$925,000$925,000$0$0$No925,000$925,000$
Andreas EnglundSenators (OTT)D241996-01-21No189 Lbs6 ft3NoNoNo4Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$700,000$Lien
Carl DahlstromSenators (OTT)D251995-01-28No231 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Christian JarosSenators (OTT)D241996-04-02No201 Lbs6 ft3NoNoNo2Pro & Farm755,000$755,000$450,000$450,000$0$0$No755,000$Lien
Christian WolaninSenators (OTT)D251995-03-17No185 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Filip ChlapikSenators (OTT)C231997-06-03No196 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Jack RoslovicSenators (OTT)C/RW231997-01-28No187 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$900,000$900,000$0$0$NoLien
Jake DotchinSenators (OTT)D261994-03-24No210 Lbs6 ft3NoNoNo4Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$700,000$Lien
Joel FarabeeSenators (OTT)LW202000-02-24Yes164 Lbs6 ft0NoNoNo3Pro & Farm1,425,000$1,425,000$1,425,000$1,425,000$0$0$No1,425,000$1,425,000$
Kevin RooneySenators (OTT)C271993-05-21No190 Lbs6 ft2NoNoNo3Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$Lien
Marko DanoSenators (OTT)LW/RW251994-11-30No212 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Matthew PecaSenators (OTT)C/LW/RW271993-04-27No178 Lbs5 ft8NoNoNo3Pro & Farm1,300,000$1,300,000$1,300,000$1,300,000$0$0$No1,300,000$1,300,000$Lien
Michael Dal ColleSenators (OTT)LW/RW241996-06-19No198 Lbs6 ft3NoNoNo2Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$Lien
Michael McLeodSenators (OTT)C221998-02-03No187 Lbs6 ft2NoNoNo2Pro & Farm1,363,333$1,363,333$450,000$450,000$0$0$No1,363,333$Lien
Ryan DzingelSenators (OTT)LW/RW281992-03-09No190 Lbs6 ft0NoNoNo2Pro & Farm1,800,000$1,800,000$1,800,000$1,800,000$0$0$No1,800,000$Lien
Tyson JostSenators (OTT)C/LW221998-03-14No191 Lbs5 ft11NoNoNo4Pro & Farm1,673,333$1,673,333$1,673,333$1,673,333$0$0$No1,673,333$1,673,333$1,673,333$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1624.19194 Lbs6 ft12.441,040,104$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joel FarabeeJack RoslovicMichael Dal Colle35122
2Marko DanoFilip Chlapik30122
3Michael McLeod25122
4Joel FarabeeJack RoslovicFilip Chlapik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Carl Dahlstrom30122
3Christian WolaninJake Dotchin25122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joel FarabeeJack RoslovicMichael Dal Colle60122
2Marko DanoFilip Chlapik40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Carl Dahlstrom40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jack RoslovicJoel Farabee60122
2Filip ChlapikMichael McLeod40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Carl Dahlstrom40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jack Roslovic6012260122
2Joel Farabee40122Carl Dahlstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jack RoslovicJoel Farabee60122
2Filip ChlapikMichael McLeod40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Carl Dahlstrom40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joel FarabeeJack RoslovicMichael Dal Colle
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joel FarabeeJack RoslovicMichael Dal Colle
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Dal Colle, Marko Dano, Michael McLeodMichael Dal Colle, Marko DanoMichael McLeod
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Wolanin, Jake Dotchin, Christian WolaninJake Dotchin,
Tirs de Pénalité
Jack Roslovic, Joel Farabee, Filip Chlapik, Michael McLeod, Michael Dal Colle
Gardien
#1 : , #2 :


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
1Bruins211000005501010000023-11100000032120.50059140013741526086701552336397228.57%12375.00%014326653.76%14826655.64%8114755.10%2481782386811356
2Crunch2020000036-31010000012-11010000024-200.00036900137413460867015417143914214.29%7271.43%014326653.76%14826655.64%8114755.10%2481782386811356
3Griffins20101000911-2100010006511010000036-320.500915240013741466086701552049329333.33%16662.50%014326653.76%14826655.64%8114755.10%2481782386811356
4Marlies211000005501010000034-11100000021120.50056110013741456086701321118351317.69%9455.56%014326653.76%14826655.64%8114755.10%2481782386811356
5Rocket21100000330110000001011010000023-120.5003690113741406086701441618451317.69%90100.00%014326653.76%14826655.64%8114755.10%2481782386811356
Total1036010002530-5513010001314-1523000001216-480.400254267011374121760867012408713519056916.07%531571.70%014326653.76%14826655.64%8114755.10%2481782386811356
_Since Last GM Reset1036010002530-5513010001314-1523000001216-480.400254267011374121760867012408713519056916.07%531571.70%014326653.76%14826655.64%8114755.10%2481782386811356
_Vs Conference835000001619-34130000079-242200000910-160.37516274301137411716086701185678615847612.77%37975.68%014326653.76%14826655.64%8114755.10%2481782386811356
_Vs Division1035000002530-5513000001314-1522000001216-460.300254267011374121760867012408713519056916.07%531571.70%014326653.76%14826655.64%8114755.10%2481782386811356

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
108L42542672172408713519001
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
103610002530
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51310001314
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
52300001216
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
56916.07%531571.70%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
608670113741
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
14326653.76%14826655.64%8114755.10%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2481782386811356


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 - 2020-09-031Griffins5Senators6WXSommaire du Match
3 - 2020-09-0523Rocket0Senators1WSommaire du Match
4 - 2020-09-0627Senators2Crunch4LSommaire du Match
5 - 2020-09-0739Senators2Marlies1WSommaire du Match
7 - 2020-09-0951Senators2Rocket3LSommaire du Match
8 - 2020-09-1057Senators3Bruins2WSommaire du Match
9 - 2020-09-1166Bruins3Senators2LSommaire du Match
10 - 2020-09-1278Crunch2Senators1LSommaire du Match
11 - 2020-09-1388Senators3Griffins6LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2020-09-15100Marlies4Senators3LSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,664,166$ 1,494,833$ 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