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Senators
GP: 18 | W: 6 | L: 12 | OTL: 0 | P: 12
GF: 67 | GA: 101 | PP%: 25.45% | PK%: 66.67%
DG: Thomas G | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Senators
6-12-0, 12pts
4
FINAL
8 Penguins
10-7-1, 21pts
Team Stats
W1StreakW3
4-5-0Home Record6-3-0
2-7-0Away Record4-4-1
3-7-0Last 10 Games6-4-0
3.72Buts par match 4.33
5.61Buts contre par match 3.72
25.45%Pourcentage en avantage numérique22.73%
66.67%Pourcentage en désavantage numérique85.96%
Bears
3-14-1, 7pts
2
FINAL
7 Senators
6-12-0, 12pts
Team Stats
L7StreakW1
2-7-0Home Record4-5-0
1-7-1Away Record2-7-0
2-8-0Last 10 Games3-7-0
2.78Buts par match 3.72
6.94Buts contre par match 5.61
19.35%Pourcentage en avantage numérique25.45%
65.00%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Dylan CoghlanButs
Dylan Coghlan
12
Dakota MermisPasses
Dakota Mermis
10
Dylan CoghlanPoints
Dylan Coghlan
19
Dakota MermisPlus/Moins
Dakota Mermis
2

Statistiques d’équipe
Buts pour
67
3.72 GFG
Tirs pour
515
28.61 Avg
Pourcentage en avantage numérique
25.5%
14 GF
Début de zone offensive
35.3%
Buts contre
101
5.61 GAA
Tirs contre
705
39.17 Avg
Pourcentage en désavantage numérique
66.7%%
11 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralThomas G
EntraîneurNolan Pratt
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro9
Équipe Mineure21
Limite contact 30 / 50
Espoirs42


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
1Kurtis MacDermidX100.008599676990486855254947702562625850640291900,000$
2Dylan CoghlanX100.0067429573726160692553476325575759506202511,100,000$
3Dakota MermisX100.007071686771737953254841623955555450610292750,000$
4Cam DineenX100.007567926667737856255542634047475750610251910,833$
5Lassi ThomsonX100.0075708572707175552550466344454558506102321,288,333$
6Simon Lundmark (R)X100.008075907075717748254040633844445450600232925,000$
7Daniel Walcott (R)XX100.005960586560768158505656555344445850570291750,000$
8Will ReillyX100.007673836373545746253740613844445150560262700,000$
9Patrick HolwayX100.008084696684434344253439623744445050550272700,000$
Rayé
MOYENNE D’ÉQUIPE100.00747179687463695428474462384949555060
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

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# 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’ÉQUIPE 0.00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Nolan Pratt62777666686380CAN451700,000$


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
1Dylan CoghlanSenators (OTT)D1812719-13235761835103334.29%5135619.807071826000011010.00%000011.0700001202
2Dakota MermisSenators (OTT)D1841014210053141451528.57%2520811.600000000004100.00%000001.3400000121
3Jonas RondbjergSenatorsLW/RW9931249516174093322.50%1413214.7000001000000033.33%600011.8100001121
Statistiques d’équipe totales ou en moyenne45252045-742101454989248128.09%9069715.5070718280000151133.33%600021.2900002444
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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Cam DineenSenators (OTT)D251998-06-18No185 Lbs5 ft11NoNoNo1Pro & Farm910,833$910,833$0$0$NoLien / Lien NHL
Dakota MermisSenators (OTT)D291994-01-05No195 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Daniel WalcottSenators (OTT)LW/D291994-02-19Yes161 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Dylan CoghlanSenators (OTT)D251998-02-19No190 Lbs6 ft2NoNoNo1Pro & Farm1,100,000$1,100,000$0$0$NoLien / Lien NHL
Kurtis MacDermidSenators (OTT)D291994-03-25No233 Lbs6 ft5YesNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Lassi ThomsonSenators (OTT)D232000-09-24No192 Lbs6 ft0NoNoNo2Pro & Farm1,288,333$1,288,333$0$0$No1,288,333$Lien
Patrick HolwaySenators (OTT)D271996-10-01No220 Lbs6 ft5NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Simon LundmarkSenators (OTT)D232000-10-08Yes201 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Will ReillySenators (OTT)D261997-07-23No196 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
926.22197 Lbs6 ft21.56891,574$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan40122
230122
3Dakota Mermis20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Dylan Coghlan60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan Coghlan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan Coghlan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Dakota Mermis, Dakota Mermis,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, Dylan Coghlan, , ,


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
1Bears220000001156110000007251100000043141.00011223300252714194170181161357140495240.00%000.00%017642141.81%16044535.96%12632538.77%36426151611420093
2Bruins20200000219-171010000019-810100000110-900.0002460025271412917018116131082419217114.29%6266.67%017642141.81%16044535.96%12632538.77%36426151611420093
3Checkers31101000171432100100012841010000056-140.66717324900252714112017018116131204214644125.00%7442.86%017642141.81%16044535.96%12632538.77%36426151611420093
4Penguins20200000915-61010000057-21010000048-400.0009162500252714150170181161373335475120.00%000.00%017642141.81%16044535.96%12632538.77%36426151611420093
5Phantoms20200000713-61010000046-21010000037-400.0007142100252714156170181161383258259444.44%3166.67%017642141.81%16044535.96%12632538.77%36426151611420093
6Sound Tigers220000001165110000005411100000062441.000111930002527141851701811613702612623133.33%5260.00%017642141.81%16044535.96%12632538.77%36426151611420093
7Thunderbirds30300000213-111010000013-220200000110-900.000246002527141371701811613983217368112.50%6266.67%017642141.81%16044535.96%12632538.77%36426151611420093
8Wolf Pack20200000816-81010000067-11010000029-700.000814220025271414417018116139622123214321.43%60100.00%017642141.81%16044535.96%12632538.77%36426151611420093
Total185120100067101-34935010004146-5927000002655-29120.33367125192002527141515170181161370521887336551425.45%331166.67%017642141.81%16044535.96%12632538.77%36426151611420093
_Since Last GM Reset185120100067101-34935010004146-5927000002655-29120.33367125192002527141515170181161370521887336551425.45%331166.67%017642141.81%16044535.96%12632538.77%36426151611420093
_Vs Conference185120100067101-34935010004146-5927000002655-29120.33367125192002527141515170181161370521887336551425.45%331166.67%017642141.81%16044535.96%12632538.77%36426151611420093
_Vs Division50000000432-2820000000212-1030000000220-1800.000481200252714166170181161320656365715213.33%12466.67%017642141.81%16044535.96%12632538.77%36426151611420093

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1812W1671251925157052188733600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
18512100067101
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
93510004146
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
92700002655
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
551425.45%331166.67%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
17018116132527141
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
17642141.81%16044535.96%12632538.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
36426151611420093


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1 - 2023-09-294Checkers5Senators6BWXSommaire du match
2 - 2023-09-3023Senators0Thunderbirds5ALSommaire du match
3 - 2023-10-0137Wolf Pack7Senators6BLSommaire du match
5 - 2023-10-0363Senators3Phantoms7ALSommaire du match
6 - 2023-10-0477Sound Tigers4Senators5BWSommaire du match
8 - 2023-10-0699Thunderbirds3Senators1BLSommaire du match
9 - 2023-10-07107Senators6Sound Tigers2AWSommaire du match
10 - 2023-10-08120Senators2Wolf Pack9ALSommaire du match
11 - 2023-10-09130Senators1Bruins10ALSommaire du match
13 - 2023-10-11152Penguins7Senators5BLSommaire du match
14 - 2023-10-12168Phantoms6Senators4BLSommaire du match
15 - 2023-10-13184Senators1Thunderbirds5ALSommaire du match
16 - 2023-10-14203Bruins9Senators1BLSommaire du match
18 - 2023-10-16227Checkers3Senators6BWSommaire du match
19 - 2023-10-17231Senators4Bears3AWSommaire du match
20 - 2023-10-18245Senators5Checkers6ALSommaire du match
21 - 2023-10-19259Senators4Penguins8ALSommaire du match
23 - 2023-10-21273Bears2Senators7BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets400
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel 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 entraineurs
0$ 802,416$ 802,416$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Senators Leaders statistiques (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

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

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

Senators Leaders statistiques (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

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