Connexion

Senators
GP: 17 | W: 7 | L: 10 | OTL: 0 | P: 14
GF: 53 | GA: 58 | PP%: 25.00% | PK%: 82.00%
DG: Farlou Ferland | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #203 vs Avalanche
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Centre de jeu
Senators
7-10-0, 14pts
3
FINAL
4 Blues
6-10-1, 13pts
Team Stats
L2SéquenceW2
6-3-0Fiche domicile5-3-1
1-7-0Fiche visiteur1-7-0
4-6-0Derniers 10 matchs4-6-0
3.12Buts par match 2.06
3.41Buts contre par match 3.35
25.00%Pourcentage en avantage numérique15.63%
82.00%Pourcentage en désavantage numérique71.93%
Senators
7-10-0, 14pts
3
FINAL
4 Bruins
13-5-0, 26pts
Team Stats
L2SéquenceW2
6-3-0Fiche domicile7-2-0
1-7-0Fiche visiteur6-3-0
4-6-0Derniers 10 matchs9-1-0
3.12Buts par match 3.94
3.41Buts contre par match 2.89
25.00%Pourcentage en avantage numérique15.25%
82.00%Pourcentage en désavantage numérique73.47%
Avalanche
12-4-1, 25pts
Jour 35
Senators
7-10-0, 14pts
Statistiques d’équipe
W2SéquenceL2
5-3-0Fiche domicile6-3-0
7-1-1Fiche visiteur1-7-0
6-3-110 derniers matchs4-6-0
3.24Buts par match 3.12
2.24Buts contre par match 3.12
19.61%Pourcentage en avantage numérique25.00%
87.14%Pourcentage en désavantage numérique82.00%
Senators
7-10-0, 14pts
Jour 37
Avalanche
12-4-1, 25pts
Statistiques d’équipe
L2SéquenceW2
6-3-0Fiche domicile5-3-0
1-7-0Fiche visiteur7-1-1
4-6-010 derniers matchs6-3-1
3.12Buts par match 3.24
3.41Buts contre par match 3.24
25.00%Pourcentage en avantage numérique19.61%
82.00%Pourcentage en désavantage numérique87.14%
Sharks
3-13-1, 7pts
Jour 39
Senators
7-10-0, 14pts
Statistiques d’équipe
L4SéquenceL2
2-6-0Fiche domicile6-3-0
1-7-1Fiche visiteur1-7-0
1-8-110 derniers matchs4-6-0
2.00Buts par match 3.12
3.94Buts contre par match 3.12
14.00%Pourcentage en avantage numérique25.00%
80.65%Pourcentage en désavantage numérique82.00%
Meneurs d'équipe
Buts
Mika Zibanejad
10
Passes
Mika Zibanejad
13
Points
Mika Zibanejad
23
Plus/Moins
Brent Burns
5
Victoires
Anton Forsberg
4
Pourcentage d’arrêts
Anton Forsberg
0.903

Statistiques d’équipe
Buts pour
53
3.12 GFG
Tirs pour
511
30.06 Avg
Pourcentage en avantage numérique
25.0%
13 GF
Début de zone offensive
40.1%
Buts contre
58
3.41 GAA
Tirs contre
595
35.00 Avg
Pourcentage en désavantage numérique
82.0%%
9 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralFarlou Ferland
EntraîneurPeter Laviolette
DivisionAtlantic
ConférenceEast
CapitaineBrent Burns
Assistant #1Jeff Skinner
Assistant #2Mika Zibanejad


Informations de l’aréna

NomCanadian Tire Centre
Capacité18,652
Assistance17,763
Billets de saison7,461


Informations de la formation

Équipe Pro21
Équipe Mineure25
Limite contact 46 / 60
Espoirs23


Plafond salarial

Cap Salarial de la Saison estimé82,930,417$
Plafond salarial disponible10,569,583$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour32,507,286$
Dépenses annuelles à ce jour18,401,328$
Revenus de la saison estimés115,581,461$
Dépenses de la saison estimées68,029,152$
Compte bancaire actuel52,474,209$
Compte bancaire projeté96,429,836$


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
1Wyatt Johnston (R)0X100.006141918266729269556680692555557550002031,000,417$
2Eric Staal (R)0X100.0063428872786758587766718248969971500N0382750,000$
3Luke Evangelista (R)0X100.00614091806574859125768561254646775000213896,667$
4Jeff Skinner (A)0XX98.0061418887707697865686906240838382500031211,500,000$
5Josh Bailey0XXX100.005941988274698667427264696186906950003315,000,000$
6Joel Farabee0XX100.007364858462759073377471692564647450002315,000,000$
7Luke Glendening0XXX100.0081648077706293599154568425757665500N03421,500,000$
8Mika Zibanejad (A)0X96.007344919276849990888792807677788850003015,350,000$
9Nino Niederreiter0XX100.008646908079739480566782614179837750003015,250,000$
10Michael Mcleod0X100.00816784847162965997735779256464695000253975,000$
11Phillip Danault0X100.007554788474789877968173775371737750003045,500,000$
12Ivan Barbashev0XX100.008758858569759975437772732570737650002732,250,000$
13Brent Burns (C)88X99.0065438486878899812572628163959574500038210,500,000$
14Kaiden Guhle (R)0X100.008458827777816267256954882555556650002131,283,333$
15Samuel Girard0X100.007342928862838966256949822568716850002515,000,000$
16Marco Scandella0X100.007945908079756360254448902575786350003313,275,000$
17Dante Fabbro0X100.007944828668749064254948852564656450002512,400,000$
18Devon Toews0X99.007744898371929075257350897568717150002924,100,000$
Rayé
1Paul Stastny0XX100.006141927870628971846462612588936650003725,250,000$
Équipe Mineure
1Alex Turcotte (R)0X100.007471827471575661765958645545456250002212,475,000$
2Carl Grundstrom0XX100.00904690807358735838617265256263715000253750,000$
3Tyson Foerster (R)0XX100.00737276637263646379606264594545635000213863,333$
4Garnet Hathaway0XX100.009770777580619758326068792570727150003121,500,000$
5Greg McKegg0XX100.00717074717067725366494865466565565000312750,000$
6Marco Rossi (R)0X100.006141877764638565745555662545456150002131,744,167$
7Hendrix Lapierre (R)0X100.006965797465677059745361605844446250002031,105,833$
8Tuukka Tieksola (R)0X100.00685988665958595850565660534444605000223843,333$
9Ryan Carpenter0XX100.008144867773548655775957722565656450003221,000,000$
10Ryan Dzingel0XXX100.007470827870505055695348674666665750003121,100,000$
11Blake McLaughlin (R)0X100.00706485636453564450384457424444505000233925,000$
12Tyson Jost0X100.007357858568659358647059757568716850002511,673,333$
13Ronnie Attard0X100.007977837377737856254652654945456150002411,350,000$
14Jacob Bernard-Docker (R)0X100.007777837572697957254447722546466050002331,208,333$
15Samuel Knazko (R)0X100.00767089647061645225503962374444545000213902,500$
16Matt Irwin0X100.00848883737761595725444880256969605000351750,000$
17Lassi Thomson0X100.007570857270717555255046634445455850002211,350,000$
18Tyler Tucker (R)0X100.00849968637865866225504868254646595000233808,333$
19Will Cuylle (R)0X100.00787977647978826250556566624444665000213902,500$
20Nils Lundkvist0X99.007142877667707769255250672555556150002331,775,000$
21Vincent Iorio (R)0X100.00827794657773795025464065384444555000203894,167$
22Helge Grans (R)0X100.00807788607768744625364063384444525000213925,000$
MOYENNE D’ÉQUIPE99.5873488782727588725269677639737472500
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
1Anton Forsberg0100.00676766787361736669675959596850003022,150,000$
2Jake Allen097.00646868766562836665649268716850003324,000,000$
Rayé
Équipe Mineure
1Chris Driedger0100.00554860845758556059583051525650002923,500,000$
2Louis Domingue0100.0056475982595956616160305960585000312750,000$
3Malcolm Subban0100.0052425381555451565554305555535000292850,000$
MOYENNE D’ÉQUIPE98.506668677769627866676676646568500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette83898386817865USA5923,500,000$


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
1Mika ZibanejadSenatorsC17101323260305686306911.63%637422.042578430002302053.22%48100001.2300000410
2Luke EvangelistaSenatorsRW1751116-720111638143513.16%132018.83336938000000025.00%2400001.0000000021
3Phillip DanaultSenatorsC1761016-2120282849183012.24%228716.940226250000221061.18%32200001.1100000101
4Brent BurnsSenatorsD17213155100717347195.88%2940223.672242047000030000%000000.7500000002
5Jeff SkinnerSenatorsLW/RW17471124010206316336.35%235721.0412310430001360033.33%2400000.6200000010
6Kaiden GuhleSenatorsD17189-102004225275143.70%2936721.601561841000031000%000000.4900000000
7Joel FarabeeSenatorsLW/RW1736934012162551912.00%322313.150111180000100035.29%1700000.8100000001
8Devon ToewsSenatorsD17448-110026142231918.18%2438422.611011142000041100%000000.4200000000
9Wyatt JohnstonSenatorsC1743700003143328.57%01488.7101109000040036.36%1100000.9500000000
10Ivan BarbashevSenatorsC/LW17167-108048253316363.03%228416.721346390000150033.50%19700000.4900000000
11Samuel GirardSenatorsD17156-126081014587.14%1631818.721121037000030100%000000.3800000001
12Josh BaileySenatorsC/LW/RW17415-400110132930.77%120612.12101214000061040.00%1500000.4900000000
13Marco ScandellaSenatorsD170551402812123120%2328216.6300000011019000%000000.3500000100
14Nino NiederreiterSenatorsLW/RW17314-280291026102211.54%026115.39000118000000036.84%1900000.3100000000
15Dante FabbroSenatorsD17224-220369122616.67%2128416.7500000000029000%000100.2800000010
16Eric StaalSenatorsC17112-840518256174.00%325615.0600010000091050.27%18500000.1600000000
17Luke GlendeningSenatorsC/LW/RW9112-500187112119.09%313414.96000001011200070.00%1000000.3000000010
18Michael McleodSenatorsC1710120051660716.67%1865.10000000000240059.84%12200000.2300000000
19Paul StastnySenatorsC/LW8000000101230%1263.3300000000000050.00%20000000000000
Statistiques d’équipe totales ou en moyenne3065397150-48100034531251114937210.37%167500716.3613253810342211243647051.08%142900100.6000000666
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
1Anton ForsbergSenators84400.9033.5543920262680000089001
2Jake AllenSenators103600.9023.3357700323270000098010
Statistiques d’équipe totales ou en moyenne1871000.9033.421017205859500001717011


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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 10Lien
Anton ForsbergSenatorsG301992-11-26No192 Lbs6 ft3NoNoNoNo2Pro & Farm2,150,000$1,692,258$2,150,000$1,692,258$2,150,000$1,692,258$No2,150,000$Lien
Brent BurnsSenatorsD381985-03-08No230 Lbs6 ft5NoNoNoNo2Pro & Farm10,500,000$8,264,516$10,500,000$8,264,516$10,500,000$8,264,516$No10,500,000$Lien
Dante FabbroSenatorsD251998-06-20No189 Lbs6 ft0NoNoNoNo1Pro & Farm2,400,000$1,889,032$2,400,000$1,889,032$2,400,000$1,889,032$NoLien
Devon ToewsSenatorsD291994-02-21No191 Lbs6 ft1NoNoNoNo2Pro & Farm4,100,000$3,227,097$4,100,000$3,227,097$4,100,000$3,227,097$No4,100,000$Lien
Eric StaalSenatorsC381984-10-29Yes206 Lbs6 ft4YesNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$750,000$590,323$No750,000$Lien
Ivan BarbashevSenatorsC/LW271995-12-14No187 Lbs6 ft0NoNoNoNo3Pro & Farm2,250,000$1,770,968$2,250,000$1,770,968$2,250,000$1,770,968$No2,250,000$2,250,000$Lien
Jake AllenSenatorsG331990-08-07No195 Lbs6 ft2NoNoNoNo2Pro & Farm4,000,000$3,148,387$4,000,000$3,148,387$4,000,000$3,148,387$No4,000,000$Lien
Jeff SkinnerSenatorsLW/RW311992-05-16No195 Lbs5 ft11NoNoNoNo2Pro & Farm11,500,000$9,051,613$11,500,000$9,051,613$11,500,000$9,051,613$No11,500,000$Lien
Joel FarabeeSenatorsLW/RW232000-02-25No164 Lbs6 ft0NoNoNoNo1Pro & Farm5,000,000$3,935,484$5,000,000$3,935,484$5,000,000$3,935,484$NoLien
Josh BaileySenatorsC/LW/RW331989-10-02No200 Lbs6 ft1NoNoNoNo1Pro & Farm5,000,000$3,935,484$5,000,000$3,935,484$5,000,000$3,935,484$NoLien
Kaiden GuhleSenatorsD212002-01-18Yes205 Lbs6 ft2NoNoNoNo3Pro & Farm1,283,333$1,010,107$1,283,333$1,010,107$1,283,333$1,010,107$No1,283,333$1,283,333$
Luke EvangelistaSenatorsRW212002-02-21Yes166 Lbs5 ft11NoNoNoNo3Pro & Farm896,667$705,764$896,667$705,764$896,667$705,764$No896,667$896,667$
Luke GlendeningSenatorsC/LW/RW341989-04-27No191 Lbs5 ft11YesNoNoNo2Pro & Farm1,500,000$1,180,645$1,500,000$1,180,645$1,500,000$1,180,645$No1,500,000$Lien
Marco ScandellaSenatorsD331990-02-22No212 Lbs6 ft3NoNoNoNo1Pro & Farm3,275,000$2,577,742$3,275,000$2,577,742$3,275,000$2,577,742$NoLien
Michael McleodSenatorsC251998-02-03No188 Lbs6 ft2NoNoNoNo3Pro & Farm975,000$767,419$975,000$767,419$975,000$767,419$No975,000$975,000$Lien
Mika ZibanejadSenatorsC301993-04-18No208 Lbs6 ft2NoNoNoNo1Pro & Farm5,350,000$4,210,968$5,350,000$4,210,968$5,350,000$4,210,968$NoLien
Nino NiederreiterSenatorsLW/RW301992-09-08No218 Lbs6 ft2NoNoNoNo1Pro & Farm5,250,000$4,132,258$5,250,000$4,132,258$5,250,000$4,132,258$NoLien
Paul StastnySenatorsC/LW371985-12-27No193 Lbs6 ft0NoNoNoNo2Pro Only5,250,000$4,132,258$5,250,000$4,132,258$5,250,000$4,132,258$No5,250,000$Lien
Phillip DanaultSenatorsC301993-02-24No201 Lbs6 ft1NoNoNoNo4Pro & Farm5,500,000$4,329,032$5,500,000$4,329,032$5,500,000$4,329,032$No5,500,000$5,500,000$5,500,000$Lien
Samuel GirardSenatorsD251998-05-12No170 Lbs5 ft10NoNoNoNo1Pro & Farm5,000,000$3,935,484$5,000,000$3,935,484$5,000,000$3,935,484$NoLien
Wyatt JohnstonSenatorsC202003-05-14Yes178 Lbs6 ft1NoNoNoNo3Pro & Farm1,000,417$787,425$1,000,417$787,425$1,000,417$787,425$No1,000,417$1,000,417$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.19194 Lbs6 ft12.003,949,067$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
82,930,417$51,655,417$11,905,417$5,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeff SkinnerMika ZibanejadLuke Evangelista35032
2Joel FarabeePhillip DanaultWyatt Johnston30032
3Luke GlendeningEric StaalNino Niederreiter25122
4Ivan BarbashevMichael McleodJosh Bailey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsKaiden Guhle40122
2Devon ToewsMarco Scandella40122
3Samuel GirardDante Fabbro20122
4Brent BurnsKaiden Guhle0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeff SkinnerMika ZibanejadLuke Evangelista60104
2Joel FarabeePhillip DanaultIvan Barbashev40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsKaiden Guhle60104
2Samuel GirardDevon Toews40104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael McleodLuke Glendening60140
2Phillip DanaultEric Staal40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marco ScandellaDante Fabbro60140
2Devon ToewsKaiden Guhle40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Luke Glendening60122Dante FabbroMarco Scandella60122
2Eric Staal40122Devon ToewsKaiden Guhle40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mika ZibanejadJeff Skinner60122
2Phillip DanaultIvan Barbashev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsKaiden Guhle60122
2Dante FabbroDevon Toews40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeff SkinnerMika ZibanejadPhillip DanaultBrent BurnsDevon Toews
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeff SkinnerMika ZibanejadPhillip DanaultBrent BurnsDevon Toews
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mika Zibanejad, Phillip Danault, Jeff SkinnerMika Zibanejad, Phillip DanaultJeff Skinner
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brent Burns, Devon Toews, Samuel GirardBrent BurnsDevon Toews, Samuel Girard
Tirs de pénalité
Mika Zibanejad, Jeff Skinner, Devon Toews, Brent Burns, Ivan Barbashev
Gardien
#1 : Jake Allen, #2 : Anton Forsberg
Lignes d’attaque personnalisées en prolongation
Mika Zibanejad, Phillip Danault, Jeff Skinner, Luke Evangelista, Ivan Barbashev, Eric Staal, Eric Staal, Nino Niederreiter, Luke Glendening, Wyatt Johnston, Michael Mcleod
Lignes de défense personnalisées en prolongation
Brent Burns, Devon Toews, Samuel Girard, Kaiden Guhle, Dante Fabbro


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
1Blackhawks1010000023-1000000000001010000023-100.0002460001102811890255222300.00%10100.00%029057350.61%29657951.12%14427652.17%2418227126
2Blues1010000034-1000000000001010000034-100.00035800210023116603081213400.00%6266.67%029057350.61%29657951.12%14427652.17%2114267125
3Bruins31200000101001010000023-12110000087120.3331018280016307822292701303122607342.86%11190.91%029057350.61%29657951.12%14427652.17%654477223717
4Canadiens3120000079-2110000005322020000026-420.333713200033108425283108835166512325.00%8187.50%029057350.61%29657951.12%14427652.17%684573223819
5Flyers21001000743210010007430000000000041.00071320004021522217121802116473133.33%80100.00%129057350.61%29657951.12%14427652.17%422853142411
6Lightning2020000049-51010000036-31010000013-200.0004812000310752823240712283210220.00%4250.00%029057350.61%29657951.12%14427652.17%493546132412
7Maple Leafs1010000004-41010000004-40000000000000.000000000000228680469826100.00%4175.00%029057350.61%29657951.12%14427652.17%2013257136
8Oilers2200000010642200000010640000000000041.000101828003250642219230661812314125.00%6183.33%029057350.61%29657951.12%14427652.17%483447132412
9Red Wings211000001091110000006421010000045-120.50010182800253085213925059186498337.50%2150.00%029057350.61%29657951.12%14427652.17%493543132613
Total17610010005358-59530100033303817000002028-8140.41253971500015211615111701751651595167102345521325.00%50982.00%129057350.61%29657951.12%14427652.17%389268416121214105
_Since Last GM Reset17610010005358-59530100033303817000002028-8140.41253971500015211615111701751651595167102345521325.00%50982.00%129057350.61%29657951.12%14427652.17%389268416121214105
_Vs Conference1348010003845-7733010002324-1615000001521-6100.3853870108001017101396126142127147413676279411229.27%37683.78%129057350.61%29657951.12%14427652.17%2952013209316481
_Vs Division1138000003141-10523000001620-4615000001521-660.2733157880061780344104125115039411560232381128.95%29679.31%029057350.61%29657951.12%14427652.17%2531732667814070

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1714L2539715051159516710234500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1761010005358
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
95310003330
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
81700002028
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
521325.00%50982.00%1
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
17017516511521161
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
29057350.61%29657951.12%14427652.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
389268416121214105


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
311Oilers3Senators5BWSommaire du match
725Maple Leafs4Senators0BLSommaire du match
938Senators1Canadiens3ALSommaire du match
1050Flyers3Senators4BWXSommaire du match
1257Senators5Bruins3AWSommaire du match
1370Bruins3Senators2BLSommaire du match
1682Senators1Lightning3ALSommaire du match
1891Flyers1Senators3BWSommaire du match
19103Senators4Red Wings5ALSommaire du match
20113Lightning6Senators3BLSommaire du match
22127Senators2Blackhawks3ALSommaire du match
24136Oilers3Senators5BWSommaire du match
26149Senators1Canadiens3ALSommaire du match
29161Canadiens3Senators5BWSommaire du match
31177Red Wings4Senators6BWSommaire du match
32182Senators3Blues4ALSommaire du match
33191Senators3Bruins4ALSommaire du match
35203Avalanche-Senators-
37214Senators-Avalanche-
39225Sharks-Senators-
42241Senators-Islanders-
43248Jets-Senators-
45264Rangers-Senators-
47278Senators-Lightning-
48286Canadiens-Senators-
51299Senators-Islanders-
52309Blues-Senators-
54323Senators-Avalanche-
56331Maple Leafs-Senators-
57342Senators-Maple Leafs-
60351Senators-Golden Knights-
61358Kings-Senators-
65373Senators-Flames-
66382Lightning-Senators-
68396Ducks-Senators-
71412Senators-Sharks-
72419Maple Leafs-Senators-
74431Senators-Jets-
75440Flames-Senators-
78462Blue Jackets-Senators-
79468Senators-Ducks-
81482Rangers-Senators-
84492Senators-Blue Jackets-
86503Senators-Lightning-
87508Red Wings-Senators-
89520Senators-Bruins-
91530Blue Jackets-Senators-
93544Senators-Rangers-
94552Bruins-Senators-
96565Senators-Flyers-
97573Bruins-Senators-
99585Senators-Penguins-
101597Oilers-Senators-
102608Senators-Oilers-
104618Flyers-Senators-
106629Senators-Penguins-
109641Golden Knights-Senators-
111656Senators-Stars-
112662Flyers-Senators-
115676Senators-Rangers-
116685Lightning-Senators-
117690Senators-Blue Jackets-
119707Islanders-Senators-
121723Senators-Kings-
122729Islanders-Senators-
125749Penguins-Senators-
126753Senators-Blackhawks-
127758Senators-Maple Leafs-
130773Penguins-Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
133792Senators-Canadiens-
134796Stars-Senators-
136815Red Wings-Senators-
137819Senators-Flyers-
141834Senators-Stars-
142839Blackhawks-Senators-
144851Senators-Blackhawks-
145852Senators-Maple Leafs-
146861Oilers-Senators-
147870Senators-Red Wings-
150882Senators-Canadiens-
152890Senators-Red Wings-
154902Canadiens-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité62005200220040521000
Prix des billets1951158065287
Assistance53,42844,04919,80033,6708,921
Attendance PCT95.75%94.12%100.00%92.33%99.12%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 17763 - 95.23% 3,611,921$32,507,286$18652100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
18,401,328$ 82,930,417$ 82,930,417$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
82,930,417$ 17,656,155$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
115,581,461$ 122 557,616$ 68,029,152$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
71,625,834$ 52,474,209$ 96,429,836$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
82,930,417$ 10,569,583$ 93,500,000$ 12,930,417$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jeff SkinnerAGE:31PO:82OV:0
Nino NiederreiterAGE:30PO:77OV:0
Ivan BarbashevAGE:27PO:76OV:0
Joel FarabeeAGE:23PO:74OV:0
Carl GrundstromAGE:25PO:71OV:0
Garnet HathawayAGE:31PO:71OV:0
Josh BaileyAGE:33PO:69OV:0
Will Cuylle (R)AGE:21PO:66OV:0
Paul StastnyAGE:37PO:66OV:0
Luke GlendeningAGE:34PO:65OV:0
Ryan DzingelAGE:31PO:57OV:0
Greg McKeggAGE:31PO:56OV:0
Blake McLaughlin (R)AGE:23PO:50OV:0
Mika ZibanejadAGE:30PO:88OV:0
Phillip DanaultAGE:30PO:77OV:0
Ivan BarbashevAGE:27PO:76OV:0
Wyatt Johnston (R)AGE:20PO:75OV:0
Eric Staal (R)AGE:38PO:71OV:0
Josh BaileyAGE:33PO:69OV:0
Michael McleodAGE:25PO:69OV:0
Tyson JostAGE:25PO:68OV:0
Paul StastnyAGE:37PO:66OV:0
Luke GlendeningAGE:34PO:65OV:0
Ryan CarpenterAGE:32PO:64OV:0
Tyson Foerster (R)AGE:21PO:63OV:0
Alex Turcotte (R)AGE:22PO:62OV:0
Hendrix Lapierre (R)AGE:20PO:62OV:0
Marco Rossi (R)AGE:21PO:61OV:0
Ryan DzingelAGE:31PO:57OV:0
Greg McKeggAGE:31PO:56OV:0
Jeff SkinnerAGE:31PO:82OV:0
Luke Evangelista (R)AGE:21PO:77OV:0
Nino NiederreiterAGE:30PO:77OV:0
Joel FarabeeAGE:23PO:74OV:0
Carl GrundstromAGE:25PO:71OV:0
Garnet HathawayAGE:31PO:71OV:0
Josh BaileyAGE:33PO:69OV:0
Luke GlendeningAGE:34PO:65OV:0
Ryan CarpenterAGE:32PO:64OV:0
Tyson Foerster (R)AGE:21PO:63OV:0
Tuukka Tieksola (R)AGE:22PO:60OV:0
Ryan DzingelAGE:31PO:57OV:0

Défense #1Défense #2Gardien
Brent BurnsAGE:38PO:74OV:0
Devon ToewsAGE:29PO:71OV:0
Samuel GirardAGE:25PO:68OV:0
Kaiden Guhle (R)AGE:21PO:66OV:0
Dante FabbroAGE:25PO:64OV:0
Marco ScandellaAGE:33PO:63OV:0
Ronnie AttardAGE:24PO:61OV:0
Nils LundkvistAGE:23PO:61OV:0
Jacob Bernard-Docker (R)AGE:23PO:60OV:0
Matt IrwinAGE:35PO:60OV:0
Tyler Tucker (R)AGE:23PO:59OV:0
Lassi ThomsonAGE:22PO:58OV:0
Vincent Iorio (R)AGE:20PO:55OV:0
Samuel Knazko (R)AGE:21PO:54OV:0
Helge Grans (R)AGE:21PO:52OV:0
Anton ForsbergAGE:30PO:68OV:0
Jake AllenAGE:33PO:68OV:0
Louis DomingueAGE:31PO:58OV:0
Chris DriedgerAGE:29PO:56OV:0
Malcolm SubbanAGE:29PO:53OV:0

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationLien
Adam EngstromSenators2022102
Adam FantilliSenators20232
Aidan HreschukSenators202198
Aidan ThompsonSenators202294
Brent JohnsonSenators202176
Dylan JamesSenators202235
Elias PetterssonSenators202272
Jan BednarSenators202049
Jayden StrubleSenators201951
John FarinacciSenators201962
Jordan GustafsonSenators202274
Kenny ConnorsSenators2022101
Lane HutsonSenators202228
Rodion AmirovSenators202026
Ryan EllisSenators00Lien
Ryan LeonardSenators20236
Sean FarrellSenators202078
Tanner MolendykSenators202328
Thimo NicklSenators202091
Topias LeinonenSenators202250
William StromgrenSenators202140
Yegor ZavraginSenators202372
Zachary BolducSenators202117

Choix au repêchage

Année R1R2R3R4R5
2024
2025
2026
2027
2028




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.




Senators Historique de transactions

[2023-08-28 20:25:59] - Luke Glendening signed with Senators for 1 500 000 $ for 2 year(s) / Option : No Trade.
[2023-08-28 20:25:59] - Luke Glendening was added to Senators.
[2023-08-28 20:25:45] - Eric Staal signed with Senators for 750 000 $ for 2 year(s) / Option : No Trade.
[2023-08-28 20:25:45] - Eric Staal was added to Senators.
[2023-07-11 10:03:43] - Paul Byron has been deleted from Senators.
[2023-07-11 10:01:31] - Tyler Bozak has been deleted from Senators.
[2023-07-11 10:00:39] - Loui Eriksson has been deleted from Senators.
[2023-07-11 10:00:16] - Jay Beagle has been deleted from Senators.
[2023-07-11 09:59:55] - Carl Dahlstrom has been deleted from Senators.
[2023-07-11 09:59:52] - Brian Boyle has been deleted from Senators.
[2023-07-05 18:10:45] - TRADE : From Avalanche to Senators : Y:2025-RND:5-COL, Y:2026-RND:5-COL.
[2023-07-05 18:10:45] - TRADE : From Senators to Avalanche : Y:2023-RND:5-OTT.
[2023-07-04 07:20:21] - Senators drafts Yegor Zavragin as the #72 overall pick in the Entry Draft of year 2023.
[2023-07-02 08:14:37] - TRADE : From Lightning to Senators : Y:2024-RND:2-TBL.
[2023-07-02 08:14:37] - TRADE : From Senators to Lightning : Y:2023-RND:3-OTT.



[2023-12-08 21:55:14] Auto Lines Function has been run for 67s.
[2023-12-08 21:55:14] 67s (Senators) lines errors : Normal line # 3 Defense #3 is empty. Normal line # 4 LW is empty. Extra Defense #2 is empty. Extra Defense #5 is empty. Starting Goalie is empty.
[2023-12-08 21:55:14] Auto Lines Function has been run for Senators.
[2023-12-08 21:55:14] Senators lines errors : Normal line # 3 LW is empty. PK line 1 LW is empty. PK3 line 1 forward is empty. OT Forward #8 is empty.
[2023-12-08 21:55:14] Auto Roster Partial Function has been run for Senators.
[2023-12-08 21:55:14] 67s roster errors : Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2023-12-06 21:04:37] Auto Lines Function has been run for 67s.
[2023-12-06 21:04:37] 67s (Senators) lines errors : Normal line # 3 Defense #3 is empty. Normal line # 4 LW is empty. Extra Defense #2 is empty. Extra Defense #5 is empty. Starting Goalie is empty.
[2023-12-06 21:04:37] Auto Lines Function has been run for Senators.
[2023-12-06 21:04:37] Senators lines errors : Normal line # 3 LW is empty. PK line 1 LW is empty. PK3 line 1 forward is empty. OT Forward #8 is empty.
[2023-12-06 21:04:37] Auto Roster Partial Function has been run for Senators.
[2023-12-06 21:04:37] 67s roster errors : Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2023-12-05 22:14:43] Louis Domingue from 67s is back from Strained Left Elbow Injury.
[2023-12-05 22:14:41] Game 177 - Louis Domingue from 67s is injured (Strained Left Elbow) and is out for 2 days.
[2023-12-04 21:09:05] Successfully loaded Senators lines done with STHS Client - 3.3.9.9
[2023-11-30 21:16:26] Will Cuylle from 67s is back from Bruised Right Shoulder Injury.
[2023-11-29 21:18:44] Successfully loaded Senators lines done with STHS Client - 3.3.9.9
[2023-11-27 07:13:48] Game 149 - Will Cuylle from 67s is injured (Bruised Right Shoulder) and is out for 3 days.
[2023-11-26 21:09:32] Auto Lines Function has been run for 67s.
[2023-11-26 21:09:32] 67s (Senators) lines errors : Normal line # 2 RW is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in normal lines 2 and 3. PP line2 RW is empty. Extra Forward #1 is empty. Extra Defense #2 is empty. Extra Forward #4 is empty. Extra Defense #5 is empty. OT Forward #6 is empty.
[2023-11-26 21:09:32] Auto Lines Function has been run for Senators.
[2023-11-26 21:09:32] Senators lines errors : Normal line # 3 LW is empty. PK line 1 LW is empty. PK3 line 1 forward is empty. OT Forward #8 is empty.
[2023-11-26 21:09:32] Auto Roster Partial Function has been run for Senators.
[2023-11-26 21:09:32] 67s roster errors : Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-11-25 21:58:29] Auto Lines Function has been run for 67s.
[2023-11-25 21:58:29] 67s (Senators) lines errors : Normal line # 2 RW is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in normal lines 2 and 3. PP line2 RW is empty. Extra Forward #1 is empty. Extra Defense #2 is empty. Extra Forward #4 is empty. Extra Defense #5 is empty. OT Forward #6 is empty.
[2023-11-25 21:58:29] Auto Lines Function has been run for Senators.
[2023-11-25 21:58:29] Senators lines errors : Normal line # 3 LW is empty. PK line 1 LW is empty. PK3 line 1 forward is empty. OT Forward #8 is empty.
[2023-11-25 21:58:29] Auto Roster Partial Function has been run for Senators.
[2023-11-25 21:58:29] 67s roster errors : Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-11-23 21:10:04] Tyson Foerster from 67s is back from Left Foot Injury.
[2023-11-23 21:10:03] Game 127 - Tyson Foerster from 67s is injured (Left Foot) and is out for 1 days.
[2023-11-21 22:38:51] Successfully loaded Senators lines done with STHS Client - 3.3.9.9
[2023-11-20 18:08:39] Auto Lines Function has been run for 67s.
[2023-11-20 18:08:39] 67s (Senators) lines errors : Normal line # 2 C is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in normal lines 2 and 3. PP line2 C is empty. Extra Forward #1 is empty. Extra Defense #2 is empty. Extra Forward #4 is empty. Extra Defense #5 is empty. Penalty Shot Player #5 is empty. OT Forward #5 is empty.
[2023-11-20 18:08:39] Auto Lines Function has been run for Senators.
[2023-11-20 18:08:39] Senators lines errors : Normal line # 3 LW is empty. PK line 1 LW is empty. PK3 line 1 forward is empty. OT Forward #8 is empty.
[2023-11-20 18:08:39] Auto Roster Partial Function has been run for Senators.
[2023-11-20 18:08:39] 67s roster errors : Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-11-19 12:53:09] Auto Lines Function has been run for 67s.
[2023-11-19 12:53:09] 67s (Senators) lines errors : Normal line # 2 C is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in normal lines 2 and 3. PP line2 C is empty. Extra Forward #1 is empty. Extra Defense #2 is empty. Extra Forward #4 is empty. Extra Defense #5 is empty. Penalty Shot Player #5 is empty. OT Forward #5 is empty.
[2023-11-19 12:53:09] Auto Lines Function has been run for Senators.
[2023-11-19 12:53:09] Senators lines errors : Normal line # 3 LW is empty. PK line 1 LW is empty. PK3 line 1 forward is empty. OT Forward #8 is empty.
[2023-11-19 12:53:09] Auto Roster Partial Function has been run for Senators.
[2023-11-19 12:53:09] 67s roster errors : Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.



Pas de blessure ou de suspension.


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

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 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

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