Senators
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Didier Theodore | Morale : 40 | Moyenne d'Équipe : 64
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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
1Nathan GerbeX100.006937767374806874717568607566612440700291975,000$
2Tomas Jurco (R)X100.007733787080726873697473657160574040700242700,000$
3Nick FolignoX100.007140797163697466707567667569632440690291675,000$
4Zachary Sanford (R)X100.006922737965786880667171667349485240690221650,000$
5Zemgus Girgensons (R)X100.007734807075756870737176577251464840690221500,000$
6A.J. Jenks (R)X100.007327677167737470727072666551503040680262925,000$
7Jordan Schroeder (R)X100.005933796669716676686871646859593440670262925,000$
8Kevin Rooney (R)X100.006645747169717465777169587251514240670231500,000$
9Chandler Stephenson (R)X100.006738797267697265676967567146464640650222500,000$
10Kyle Connor (R)X100.005735877068717570555586467446446940650201500,000$
11Anthony Richard (R)X100.005833767059704872727462567845446440640201500,000$
12Jake Evans (R)X100.006641727262646871727065536043435940640202500,000$
13Joel Eriksson Ek (R)X100.006027777267696458676461676342427440630191500,000$
14Grant Besse (R)X100.005732766860696069686063626946463640620221500,000$
15Anthony Bitetto (R)X100.007641657478846763547667806370613340730261975,000$
16Dmitry Sinitsyn (R)X100.006825837971707976457557785752465440710222975,000$
17Keegan Lowe (R)X100.007027767476846568507467755657474640710232500,000$
18Dylan Blujus (R)X100.006936797370707371596667756255464640690221500,000$
19Scott Harrington (R)X100.006933736873757268557359776356474540690231999,999$
20Jack Dougherty (R)X100.007039727065636369626864656547436340650202500,000$
21Joonas Lyytinen (R)X100.006729776460525958366346784646465240630212500,000$
22Adam Ollas-Mattsson (R)X100.005738666868646359416656694345435840620202350,000$
23Mason Geertsen (R)X100.006845765763527561465453645345434740610211500,000$
Rayé
1Warren Foegele (R)X100.004733916470766958596449605742426240600202500,000$
2Arttu Ruotsalainen (R)X100.004832665856666463495178476143436440580192500,000$
3Vitaly Abramov (R)X100.004535696563585665465570336340407340560182500,000$
4William Bitten (R)X100.006840555964466658425457435240406640540182500,000$
5Cliff Pu (R)X100.005221664960574961525565316040406040530182500,000$
6Gustav Forsling (R)X100.006730725350646157345863514942426240570202500,000$
7Jonas Siegenthaler (R)X100.005326825357536446235737733741415740570191500,000$
MOYENNE D'ÉQUIPE100.00643475676668666657666461625047514064
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
1Sami Aittokallio100.00607067635970717666656447483440660
Rayé
1Keven Bouchard100.00396446475258555459535642424340530
MOYENNE D'ÉQUIPE100.0050675755566463656359604545394060
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mario Lemieux58697272515555CAN5221,000,000$


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 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
A.J. JenksSenators (Ott)LW261990-01-01Yes206 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$
Adam Ollas-MattssonSenators (Ott)D201996-01-01Yes215 Lbs6 ft5NoNoNo2Pro & Farm350,000$350,000$0$0$No350,000$
Anthony BitettoSenators (Ott)D261990-01-01Yes210 Lbs6 ft1NoNoNo1Pro & Farm975,000$975,000$0$0$No
Anthony RichardSenators (Ott)C201996-01-01Yes163 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$No
Arttu RuotsalainenSenators (Ott)C191997-01-01Yes181 Lbs5 ft8NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Chandler StephensonSenators (Ott)C221994-01-01Yes190 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Cliff PuSenators (Ott)RW181998-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Dmitry SinitsynSenators (Ott)D221994-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm975,000$975,000$0$0$No975,000$
Dylan BlujusSenators (Ott)D221994-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Grant BesseSenators (Ott)RW221994-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$No
Gustav ForslingSenators (Ott)D201996-01-01Yes186 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No250,000$
Jack DoughertySenators (Ott)D201996-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Jake EvansSenators (Ott)C201996-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Joel Eriksson EkSenators (Ott)C191997-01-01Yes210 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Jonas SiegenthalerSenators (Ott)D191997-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Joonas LyytinenSenators (Ott)D211995-01-01Yes189 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Jordan SchroederSenators (Ott)C261990-01-01Yes175 Lbs5 ft8NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$
Keegan LoweSenators (Ott)D231993-01-01Yes200 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Keven BouchardSenators (Ott)G201996-01-01No212 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Kevin RooneySenators (Ott)C231993-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Kyle ConnorSenators (Ott)LW201996-01-01Yes182 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Mason GeertsenSenators (Ott)D211995-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$No
Nathan GerbeSenators (Ott)C291987-01-01No173 Lbs5 ft6NoNoNo1Pro & Farm975,000$975,000$0$0$No
Nick FolignoSenators (Ott)LW291987-01-01No208 Lbs6 ft0NoNoNo1Pro & Farm675,000$675,000$0$0$No
Sami AittokallioSenators (Ott)G241992-01-01No185 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Scott HarringtonSenators (Ott)D231993-01-01Yes201 Lbs6 ft2NoNoNo1Pro & Farm999,999$999,999$0$0$No
Tomas JurcoSenators (Ott)RW241992-01-01Yes203 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$
Vitaly AbramovSenators (Ott)LW181998-01-01Yes181 Lbs5 ft10NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Warren FoegeleSenators (Ott)LW201996-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
William BittenSenators (Ott)RW181998-01-01Yes179 Lbs5 ft10NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Zachary SanfordSenators (Ott)LW221994-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm650,000$650,000$0$0$No
Zemgus GirgensonsSenators (Ott)LW221994-01-01Yes186 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3221.81192 Lbs6 ft11.53598,437$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
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
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$ 1,915,000$ 1,165,000$ 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