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Connexion

Senators
GP: 35 | W: 7 | L: 26 | OTL: 2 | P: 16
GF: 140 | GA: 253 | PP%: 37.23% | PK%: 36.43%
DG: Philippe Langevin | Morale : 41 | Moyenne d’équipe : 69
Prochains matchs #434 vs Shokers

Centre de jeu
Patriotes
16-15-5, 37pts
3
FINAL
4 Senators
7-26-2, 16pts
Team Stats
SOL2SéquenceL1
10-6-2Fiche domicile6-12-0
6-9-3Fiche domicile1-14-2
6-1-3Derniers 10 matchs4-6-0
5.14Buts par match 4.00
5.00Buts contre par match 7.23
45.99%Pourcentage en avantage numérique37.23%
49.40%Pourcentage en désavantage numérique36.43%
Senators
7-26-2, 16pts
7
FINAL
13 Prospects
19-16-1, 39pts
Team Stats
L1SéquenceW2
6-12-0Fiche domicile11-6-1
1-14-2Fiche domicile8-10-0
4-6-0Derniers 10 matchs4-5-1
4.00Buts par match 5.31
7.23Buts contre par match 5.83
37.23%Pourcentage en avantage numérique44.22%
36.43%Pourcentage en désavantage numérique45.22%
Shokers
25-11-0, 50pts
Jour 70
Senators
7-26-2, 16pts
Statistiques d’équipe
L1SéquenceL1
12-6-0Fiche domicile6-12-0
13-5-0Fiche visiteur1-14-2
7-3-010 derniers matchs4-6-0
7.69Buts par match 4.00
5.25Buts contre par match 4.00
58.86%Pourcentage en avantage numérique37.23%
55.86%Pourcentage en désavantage numérique36.43%
Senators
7-26-2, 16pts
Jour 72
Dynamos
30-6-0, 60pts
Statistiques d’équipe
L1SéquenceW1
6-12-0Fiche domicile15-3-0
1-14-2Fiche visiteur15-3-0
4-6-010 derniers matchs7-3-0
4.00Buts par match 6.44
7.23Buts contre par match 6.44
37.23%Pourcentage en avantage numérique67.50%
36.43%Pourcentage en désavantage numérique55.28%
Dynamos
30-6-0, 60pts
Jour 74
Senators
7-26-2, 16pts
Statistiques d’équipe
W1SéquenceL1
15-3-0Fiche domicile6-12-0
15-3-0Fiche visiteur1-14-2
7-3-010 derniers matchs4-6-0
6.44Buts par match 4.00
3.64Buts contre par match 4.00
67.50%Pourcentage en avantage numérique37.23%
55.28%Pourcentage en désavantage numérique36.43%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
140
4.00 GFG
Tirs pour
829
23.69 Avg
Pourcentage en avantage numérique
37.2%
35 GF
Début de zone offensive
24.0%
Buts contre
253
7.23 GAA
Tirs contre
1280
36.57 Avg
Pourcentage en désavantage numérique
36.4%%
89 GA
Début de la zone défensive
33.1%
Informations de l'équipe

Directeur généralPhilippe Langevin
EntraîneurBill Peters
DivisionRichard
ConférenceConference 1
Capitaine
Assistant #1Erik Brannstrom
Assistant #2Valeri Nichushkin


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro11
Équipe Mineure19
Limite contact 30 / 55
Espoirs26


Historique d'équipe

Saison actuelle7-26-2 (16PTS)
Historique138-204-20 (0.381%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)1 - 8 (0.111%)
Coupe Stanley0


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
1Trent FredericX100.009377828889759076627477785674770597302722,300,000$
2Jake Neighbours (R)X100.00896394858578867550678373797074059720232925,000$
3Alexandre TexierX100.007457899578778772507172797172740597102511,525,000$
4Jimmy VeseyXX100.0080609483847487705068727650807805970N0322999,999$
5Tanner PearsonX100.007765918383745967506767745083810596803212,299,999$
6Drake CaggiulaXX100.0077659588778040685067687950737405968N03121,125,000$
7Jaret Anderson-Dolan (R)X100.00895988898279406166606274506869059660251975,000$
8Nic PetanX100.00685795877677406650656775507071059660301775,000$
9Calvin De HaanX100.0088659288868066665066657650838105972N0341775,000$
10Casey Fitzgerald (R)X100.0092637984858240665070626750666905968N0281775,000$
11Nikolas Matinpalo (R)X100.0078649886836740615060616450636605963N0261750,800$
Rayé
MOYENNE D’ÉQUIPE100.0082639187837761685367697455737405969
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 SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE0.000000000000000000
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peters66706775776999USA572750,000$


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexandre TexierSenators (RDS)C251999-09-13FRANo192 Lbs6 ft1NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm1,525,000$809,184$0$0$No---------------------------Lien
Calvin De HaanSenators (RDS)D341991-05-09CANNo197 Lbs6 ft1YesNoFree AgentNoNo12025-04-21FalseFalsePro & Farm775,000$411,224$0$0$No---------------------------Lien
Casey FitzgeraldSenators (RDS)D281997-02-25USAYes188 Lbs5 ft11YesNoFree AgentNoNo12025-04-21FalseFalsePro & Farm775,000$411,224$0$0$No---------------------------
Drake CaggiulaSenators (RDS)LW/RW311994-06-20CANNo185 Lbs5 ft10YesNoFree AgentNoNo22025-04-21FalseFalsePro & Farm1,125,000$596,939$0$0$No1,125,000$--------1,125,000$--------Yes--------Lien
Jake NeighboursSenators (RDS)LW232002-03-29CANYes201 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm925,000$490,816$0$0$No925,000$--------925,000$--------No--------
Jaret Anderson-DolanSenators (RDS)C251999-09-12CANYes188 Lbs5 ft11NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm975,000$517,347$0$0$No---------------------------
Jimmy VeseySenators (RDS)LW/RW321993-05-26USANo206 Lbs6 ft3YesNoFree AgentNoNo22025-04-21FalseFalsePro & Farm999,999$530,612$0$0$No999,999$--------999,999$--------Yes--------Lien
Nic PetanSenators (RDS)LW301995-03-22CANNo179 Lbs5 ft9NoNoFree AgentNoNo12024-03-15FalseFalsePro & Farm775,000$411,224$0$0$No---------------------------Lien
Nikolas MatinpaloSenators (RDS)D261998-10-05FINYes211 Lbs6 ft3YesNoFree AgentNoNo12025-05-04FalseFalsePro & Farm750,800$398,384$0$0$No---------------------------
Tanner PearsonSenators (RDS)LW321992-08-10CANNo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,299,999$1,220,408$0$0$No---------------------------Lien
Trent FredericSenators (RDS)C271998-02-11USANo210 Lbs6 ft3NoNoFree AgentNoNo22025-04-11FalseFalsePro & Farm2,300,000$1,220,408$0$0$No2,300,000$--------2,300,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1128.45196 Lbs6 ft01.361,202,345$



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
TotalDomicileVisiteur
# 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
1Bolt11000000532110000005320000000000021.00051015003152561282312673296235883266.67%4175.00%017344638.79%20661633.44%27879734.88%622342866359618261
2Brawlers505000002337-1420200000814-6303000001523-800.000234467003152561136231267329616246387114535.71%19952.63%017344638.79%20661633.44%27879734.88%622342866359618261
3Destroyers30300000521-1610100000110-920200000411-700.000510150031525616123126732961444614456233.33%7528.57%017344638.79%20661633.44%27879734.88%622342866359618261
4Distraction1010000069-31010000069-30000000000000.000610160031525612423126732963788188337.50%5340.00%017344638.79%20661633.44%27879734.88%622342866359618261
5Dynamos30300000823-1520200000417-131010000046-200.0008132110315256162231267329610726244910110.00%12118.33%217344638.79%20661633.44%27879734.88%622342866359618261
6Extreme11000000651000000000001100000065121.000611170031525612023126732962028153266.67%440.00%017344638.79%20661633.44%27879734.88%622342866359618261
7Falcons1010000026-4000000000001010000026-400.00024600315256127231267329630124223266.67%2150.00%017344638.79%20661633.44%27879734.88%622342866359618261
8Intrepides1010000019-81010000019-80000000000000.00012300315256192312673296361012122150.00%6433.33%017344638.79%20661633.44%27879734.88%622342866359618261
9L'Euphorie1010000019-8000000000001010000019-800.00012300315256127231267329652191211100.00%660.00%017344638.79%20661633.44%27879734.88%622342866359618261
10Les Restants11000000752110000007520000000000021.000713200031525612523126732962590224250.00%000%017344638.79%20661633.44%27879734.88%622342866359618261
11Monster1000010067-1000000000001000010067-110.500612180031525613123126732962366135240.00%3233.33%017344638.79%20661633.44%27879734.88%622342866359618261
12Monsters20100100712-51010000026-41000010056-110.250713200031525614223126732968822827300.00%4325.00%017344638.79%20661633.44%27879734.88%622342866359618261
13National30300000728-2120200000621-151010000017-600.0007142100315256164231267329614459323633100.00%17947.06%017344638.79%20661633.44%27879734.88%622342866359618261
14Patriotes302000101120-920100010610-410100000510-520.3331120310031525617023126732961123034457114.29%17947.06%017344638.79%20661633.44%27879734.88%622342866359618261
15Prospects312000001827-911000000871202000001020-1020.333183553003152561812312673296903032409444.44%161037.50%117344638.79%20661633.44%27879734.88%622342866359618261
16Sharks1010000057-2000000000001010000057-200.0005101500315256123231267329640108173266.67%4250.00%017344638.79%20661633.44%27879734.88%622342866359618261
17Vikings211000001014-4211000001014-40000000000020.500101828003152561582312673296952915247228.57%5420.00%017344638.79%20661633.44%27879734.88%622342866359618261
18Warriors1010000057-2000000000001010000057-200.000591400315256119231267329630141017100.00%5260.00%017344638.79%20661633.44%27879734.88%622342866359618261
19Wildcats11000000743110000007430000000000021.000714210031525612223126732962298102150.00%440.00%017344638.79%20661633.44%27879734.88%622342866359618261
Total3562600210140253-113185120001071129-58171140020069124-55160.22914026440410315256182923126732961280392281502943537.23%1408936.43%317344638.79%20661633.44%27879734.88%622342866359618261
_Since Last GM Reset3562600210140253-113185120001071129-58171140020069124-55160.22914026440410315256182923126732961280392281502943537.23%1408936.43%317344638.79%20661633.44%27879734.88%622342866359618261
_Vs Conference212170011078145-671128000103876-381009001004069-2970.167781442221031525615002312673296793234147322551527.27%714438.03%217344638.79%20661633.44%27879734.88%622342866359618261
_Vs Division9014001103762-25407000101426-12507001002336-1330.167377210900315256123123126732962747968126271244.44%341750.00%017344638.79%20661633.44%27879734.88%622342866359618261

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3516L1140264404829128039228150210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
356260210140253
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
18512001071129
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
17114020069124
Derniers 10 matchs
WLOTWOTL SOWSOL
360010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
943537.23%1408936.43%3
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
23126732963152561
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
17344638.79%20661633.44%27879734.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
622342866359618261


Derniers matchs 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
11Senators5Monsters6LXSommaire du match
213Senators6Brawlers8LSommaire du match
425Monsters6Senators2LSommaire du match
644Dynamos9Senators0LSommaire du match
853Patriotes7Senators2LSommaire du match
1172Senators3Prospects7LSommaire du match
1280Vikings10Senators3LSommaire du match
1485Senators4Brawlers7LSommaire du match
1698Senators5Patriotes10LSommaire du match
18114Brawlers10Senators6LSommaire du match
20122Senators5Warriors7LSommaire du match
22136Destroyers10Senators1LSommaire du match
24148Bolt3Senators5WSommaire du match
26161Senators2Destroyers3LSommaire du match
28172Senators4Dynamos6LSommaire du match
30181National9Senators4LSommaire du match
33204Senators6Monster7LXSommaire du match
34212Senators5Sharks7LSommaire du match
36217Les Restants5Senators7WSommaire du match
38237Brawlers4Senators2LSommaire du match
40250Dynamos8Senators4LSommaire du match
42257Senators5Brawlers8LSommaire du match
44266Senators6Extreme5WSommaire du match
46284National12Senators2LSommaire du match
48291Senators1L'Euphorie9LSommaire du match
50304Vikings4Senators7WSommaire du match
52319Senators2Destroyers8LSommaire du match
54330Intrepides9Senators1LSommaire du match
56348Senators1National7LSommaire du match
58354Wildcats4Senators7WSommaire du match
62373Distraction9Senators6LSommaire du match
63386Prospects7Senators8WSommaire du match
65396Senators2Falcons6LSommaire du match
67411Patriotes3Senators4WXXSommaire du match
69426Senators7Prospects13LSommaire du match
70434Shokers-Senators-
72446Senators-Dynamos-
74459Dynamos-Senators-
76474Distraction-Senators-
78486Senators-Patriotes-
80499Senators-Les Restants-
81507National-Senators-
83522Senators-Guerriers du Nord-
84532Bolt-Senators-
86545Senators-Patriotes-
87557Senators-Brawlers-
89561Senators-Monsters-
90571Destroyers-Senators-
92587Monsters-Senators-
93599Senators-Destroyers-
95609Wildcats-Senators-
97624Senators-Extreme-
99634Warriors-Senators-
100649Senators-Monkeys -
101658Brawlers-Senators-
102670Senators-Destroyers-
104681Destroyers-Senators-
106693Senators-Falcons-
107703Senators-Vikings-
109715Falcons-Senators-
111729Bolt-Senators-
112742Senators-Sharks-
114752Patriotes-Senators-
116772Senators-Monsters-
117780Les Restants-Senators-
119795Guerriers du Nord-Senators-
120802Senators-Prospects-
121812Senators-Patriotes-
123825Vikings-Senators-
125845Monsters-Senators-
126851Senators-L'Euphorie-
128867Monster-Senators-
129874Senators-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
130882Senators-Monkeys -
132897Guerriers du Nord-Senators-
134909Senators-Warriors-
135919Monkeys -Senators-
136928Senators-Dynamos-
137933Senators-Warriors-
140953Youngblood-Senators-
142964Senators-Monsters-
145979Monsters-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
976,891$ 1,322,580$ 1,322,580$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 624,853$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 78 14,099$ 1,099,722$




Senators Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Philipp Kurashev275216310526-2163306280127616.93%124503518.3178135213147101720665.00%142.0925
2Trevor Moore139158207365696517216377720.33%106291120.9546781248456111913555.67%162.5136
3Filip Zadina246132213345-374325916187515.09%117424917.27506611696202915463.41%81.6214
4Matt Nieto171172171343-153422517383120.70%117355820.817569144128123616263.91%191.9326
5Gabriel Vilardi10084161245272011517746917.91%63219621.96386210066235136271.57%62.2313

Senators Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Oscar Dansk2519220.9152.8114090166772436001.0003
2Chris Driedger2516510.9033.01135501687043751000
3Laurent Brossoit11000.9412.006000234170000

Senators Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
202082344006110474482-841162202100237260-234118180401023722215834748361310208819718282616821921867112876974682112626514253.58%28513951.23%12663126752.33%693140149.46%991190052.16%1718103618667231348649
202182195104800363544-1814192503400200272-7241102601400163272-109543636821045106813815341953486689765132805878690116124110141.91%33820439.64%16459103944.18%498130838.07%758192439.40%152684819918051418631
202282343508500523524-1412017031002702511941141805400253273-20895239131436001101942118305196510271043162720900669121624214660.33%29116443.64%9708130954.09%623121051.49%1024193752.87%1839113717356841365692
202382235202500331474-14341112302500170227-5741122900000161247-86553316259560039140150218874306867665265190457611652469538.62%28615446.15%20525110847.38%539129941.49%762178242.76%154083819718041418650
20243562600210140253-113185120001071129-58171140020069124-551614026440410315256182923126732961280392281502943537.23%1408936.43%317344638.79%20661633.44%27879734.88%622342866359618261
Total Saison régulière363116204020212018312277-446182619901011109481139-1911815510501010108831138-2552971831332051514033672175223103362933359037705112332404828985170108851947.70%134075044.03%602528516948.91%2559583443.86%3813834045.72%724642038431337761692884
Séries éliminatoires
2020404000001626-1020200000813-520200000813-50163147006730123395628012933246414214.29%12558.33%0336253.23%255942.37%409044.44%915584346532
2022514000003137-6202000001315-2312000001822-42315990008167015044634301978852479555.56%261926.92%1154831.25%2210022.00%2611422.81%7748134538828
Total Séries éliminatoires918000004763-16404000002128-7514000002635-924790137001423100273831197103261217611123730.43%382436.84%14811043.64%4715929.56%6620432.35%1681032188715461

Senators Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Philipp Kurashev20293766-84363112323.58%1446823.441613292412343063.84%42.8200
2Filip Zadina20163248-619191310215.69%738419.22814221400002154.17%12.5000
3Janne Kuokkanen24211839-212181212317.07%1542317.64710171511260160.71%01.8400
4Sean Durzi1422527492417365.56%1936426.0611617130112000%01.4800
5Cody Eakin20101626-5222268312.05%1037718.895510700012069.44%01.3800

Senators Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Oscar Dansk42200.9084.272390017184980000