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Connexion

Senateurs
GP: 25 | W: 15 | L: 10
GF: 78 | GA: 74 | PP%: 30.12% | PK%: 76.83%
DG: Claude-Etienne Landry | Morale : 83 | Moyenne d’équipe : 67
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Centre de jeu
Avalanche
16-9-0, 32pts
4
FINAL
1 Senateurs
15-10-0, 30pts
Team Stats
W2StreakL2
6-7-0Home Record4-7-0
10-2-0Away Record11-3-0
6-3-1Last 10 Games6-4-0
3.68Buts par match 3.12
2.60Buts contre par match 2.96
17.24%Pourcentage en avantage numérique30.12%
86.49%Pourcentage en désavantage numérique76.83%
Senateurs
15-10-0, 30pts
1
FINAL
2 Avalanche
16-9-0, 32pts
Team Stats
L2StreakW2
4-7-0Home Record6-7-0
11-3-0Away Record10-2-0
6-4-0Last 10 Games6-3-1
3.12Buts par match 3.68
2.96Buts contre par match 2.60
30.12%Pourcentage en avantage numérique17.24%
76.83%Pourcentage en désavantage numérique86.49%
Meneurs d'équipe
Buts
Sonny Milano
12
Passes
Sonny Milano
15
Points
Sonny Milano
27
Plus/Moins
Sebastian Aho
7
Victoires
Scott Wedgewood
14
Pourcentage d’arrêts
Scott Wedgewood
0.908

Statistiques d’équipe
Buts pour
78
3.12 GFG
Tirs pour
819
32.76 Avg
Pourcentage en avantage numérique
30.1%
25 GF
Début de zone offensive
40.3%
Buts contre
74
2.96 GAA
Tirs contre
767
30.68 Avg
Pourcentage en désavantage numérique
76.8%%
19 GA
Début de la zone défensive
37.3%
Informations de l'équipe

Directeur généralClaude-Etienne Landry
EntraîneurCraig Hartsburg
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison2,100


Informations de la formation

Équipe Pro36
Équipe Mineure19
Limite contact 55 / 60
Espoirs40


Historique d'équipe

Saison actuelle15-10
Historique45-31-5 (0.556%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)15-10
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
1Alexandre Grenier (R)X100.009668436877828398480807255756835817403133,000,000$
2Joel Eriksson Ek (R)X100.007645887483758975837773822572767882730261800,000$
3Alexandre Texier (R)X100.0077438673848084767876717575687172827202331,500,000$
4Sonny Milano (R)X100.0073707272826755895684866452876574657202732,000,000$
5Denis Malgin (R)X100.005524987168818185688280676682645182720261600,000$
6Tyler Motte (R)X100.008047837083788166557370872577727879710281600,000$
7Nick Paul (R)X100.0079458973827388668276707825767267827102831,000,000$
8Alex Formenton (R)X100.007843907484917271726771812569717080700232900,000$
9Gemel Smith (R)X100.007671477483595568807872777075616880680291575,000$
10Max Jones (R)X100.007746797484678465447270702568706981670253800,000$
11Isac Lundestrom (R)X100.007441897284697662787368712566686880670233700,000$
12Alexander Volkov (R)X100.006428996774767973486971677272686682670251864,167$
13Miro Heiskanen (R)X100.0073439277809192822586798125687084797602333,000,000$
14Jonas Siegenthaler (R)X100.0073459169816772642576689725717063797302632,000,000$
15Chris Wideman (R)X98.0051289767705874992597987362837136787303311,000,000$
16Ben Harpur (R)X100.007446857180798365257567722576716280700281575,000$
17Sebastian Aho (R)X100.007059847880675174247671582572704480670273700,000$
18Mattias Samuelsson (R)X100.007346896784756059257167672565665880660232925,000$
Rayé
1Matthew Peca (R)X100.007563867482606166747468715380736056670301600,000$
2Nathan Bastian (R)X100.007848857083637867387569712569667019660253700,000$
3MacKenzie Entwistle (R)X100.007670846984646560507469656765646619650232811,667$
4Rem Pitlick (R)X100.007143877283596361747667567569676420640263575,000$
5Brett Murray (R)X100.007285797184656656507267646068696525640242775,000$
6Ross Johnston (R)X100.007849317184525063337367712558575819630292575,000$
7Kole Sherwood (R)X100.008077866884565659507367636271686220630262750,000$
8Alex Turcotte (R)X100.007267825967606062784242635444446219540223894,167$
9Michael Carcone (R)X100.006861856761707263503939616444446519540273750,000$
10Parker Kelly (R)X100.007571856271676959743838635944446220540243762,500$
11Mark Kastelic (R)X100.008179845879646754683838655044445820530243821,667$
12Cameron Gaunce (R)X100.005340926576767363306556695386764921650331575,000$
13Tim Erixon (R)X100.004716996575607060517355706189885020640322575,000$
14Andreas Englund (R)X100.006149846375787762306057655172696919630271575,000$
15Alec Regula (R)X100.007878916481687151257167635262655720630222866,667$
MOYENNE D’ÉQUIPE99.94725383697970716851716770476966625466
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
1Jake Oettinger (R)100.00859089948891939195797868727381860242925,000$
2Scott Wedgewood (R)98.008085848280959288887175818761818303031,500,000$
Rayé
1Joey Daccord (R)100.00745569754982824652463044444820610263750,000$
MOYENNE D’ÉQUIPE99.3380778184728989757865616468616177
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Hartsburg77747379997871CAN633500,000$


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
1Sonny MilanoSenateurs (OTT)LW2312152712810494180245615.00%741718.17561113670001162356.67%30164001.2900020400
2Alexandre GrenierSenateurs (OTT)RW2211122349440723193255811.83%1443819.9136917580001443016.33%9895101.0500314100
3Joel Eriksson EkSenateurs (OTT)C2561521020567943243013.95%1453621.473585710111701049.39%660911000.7800000024
4Denis MalginSenateurs (OTT)RW2511920-900333899438011.11%1048219.2952710531012311048.78%41166000.8300000120
5Chris WidemanSenateurs (OTT)D234151930010515830246.90%2553723.353811965000167300.00%0188000.7100000202
6Alexandre TexierSenateurs (OTT)C2531114-820059677015534.29%845818.34055452011190052.55%451193000.6100000121
7Nick PaulSenateurs (OTT)C254711075444332132712.50%834113.68101180000191047.83%20756000.6400001200
8Alex FormentonSenateurs (OTT)LW255510-160272528112017.86%831912.7801106000000046.15%1375000.6300000011
9Miro HeiskanenSenateurs (OTT)D23281012042464717144.26%3255123.98257868000064100.00%0811000.3600000010
10Gemel SmithSenateurs (OTT)RW25459022047254615228.70%632913.16000080000171137.14%35910000.5500000001
11Tyler MotteSenateurs (OTT)LW25437-510054445411337.41%1345618.26022152000061147.37%19317000.3100000110
12Jonas SiegenthalerSenateurs (OTT)D25347-9202839207615.00%2955922.37303457000053010.00%0520000.2500000001
13Alexander VolkovSenateurs (OTT)RW2533640088339179.09%01767.070000000000000.00%443000.6800000000
14Isac LundestromSenateurs (OTT)C251454202122169156.25%31787.1500000000010047.76%6732000.5600000000
15Ben HarpurSenateurs (OTT)D25145-51353132239134.35%2153421.39011149000144000.00%01016000.1900010001
16Mattias SamuelssonSenateurs (OTT)D25134275242515786.67%1838315.320000000007010.00%027000.2100010011
17Max JonesSenateurs (OTT)LW252134603032295216.90%32339.34000000000321024.00%2532000.2600000000
18Sebastian AhoSenateurs (OTT)D251237195192124964.17%2041116.46000012000011000.00%0417000.1500010000
19Nathan BastianSenateurs (OTT)RW3022-1006261120.00%13913.03000000000000100.00%101001.0200000000
20Cameron GaunceSenateurs (OTT)D4000-300033100.00%85914.890000000002000.00%004000.00%00000000
21Brett MurraySenateurs (OTT)LW2000020300100.00%0157.980000000000000.00%100000.00%00000000
Statistiques d’équipe totales ou en moyenne45078128206-11242706636748192865159.52%248746016.5825416673631123850115747.34%1652150158100.5500365121012
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
1Scott WedgewoodSenateurs (OTT)2214710.9082.8113222062671286100.00%0223230
2Jake OettingerSenateurs (OTT)41200.8753.6919500129635000.00%0322001
Statistiques d’équipe totales ou en moyenne2615910.9042.93151720747673211002525231


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
Alec RegulaSenateurs (OTT)D222000-08-06 14:20:17Yes207 Lbs6 ft4NoNoNo2Pro & Farm866,667$0$0$No866,667$
Alex FormentonSenateurs (OTT)LW231999-09-13 05:14:28Yes165 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$
Alex TurcotteSenateurs (OTT)C222001-02-26 04:28:15Yes185 Lbs5 ft11NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$
Alexander VolkovSenateurs (OTT)RW251997-08-02 10:19:34Yes192 Lbs6 ft1NoNoNo1Pro & Farm864,167$0$0$No
Alexandre GrenierSenateurs (OTT)RW311991-09-05 23:11:13Yes202 Lbs6 ft5NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$
Alexandre TexierSenateurs (OTT)C231999-09-13 04:56:56Yes187 Lbs6 ft0NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
Andreas EnglundSenateurs (OTT)D271996-01-21 12:32:58Yes189 Lbs6 ft3NoNoNo1Pro & Farm575,000$0$0$No
Ben HarpurSenateurs (OTT)D281995-01-12 12:35:07Yes223 Lbs6 ft6NoNoNo1Pro & Farm575,000$0$0$No
Brett MurraySenateurs (OTT)LW241998-07-20 14:22:09Yes216 Lbs6 ft4NoNoNo2Pro & Farm775,000$0$0$No775,000$
Cameron GaunceSenateurs (OTT)D331990-03-19 13:14:56Yes204 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
Chris WidemanSenateurs (OTT)D331990-01-07 17:11:13Yes183 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$0$0$No
Denis MalginSenateurs (OTT)RW261997-01-18 04:18:34Yes177 Lbs5 ft9NoNoNo1Pro & Farm600,000$0$0$No
Gemel SmithSenateurs (OTT)RW291994-04-16 12:38:52Yes194 Lbs5 ft10NoNoNo1Pro & Farm575,000$0$0$No
Isac LundestromSenateurs (OTT)C231999-11-06 05:03:37Yes187 Lbs6 ft0NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Jake OettingerSenateurs (OTT)G241998-12-18 14:31:28Yes225 Lbs6 ft5NoNoNo2Pro & Farm925,000$0$0$No925,000$
Joel Eriksson EkSenateurs (OTT)C261997-01-29 12:40:45Yes208 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$No
Joey DaccordSenateurs (OTT)G261996-08-19 03:19:39Yes196 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Jonas SiegenthalerSenateurs (OTT)D261997-05-06 05:01:22Yes206 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Kole SherwoodSenateurs (OTT)RW261997-01-22 13:01:05Yes212 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
MacKenzie EntwistleSenateurs (OTT)RW231999-07-14 14:25:30Yes183 Lbs6 ft4NoNoNo2Pro & Farm811,667$0$0$No811,667$
Mark KastelicSenateurs (OTT)C241999-03-11 03:45:42Yes209 Lbs6 ft4NoNoNo3Pro & Farm821,667$0$0$No821,667$821,667$
Matthew PecaSenateurs (OTT)C301993-04-27 05:46:27Yes182 Lbs5 ft9NoNoNo1Pro & Farm600,000$0$0$No
Mattias SamuelssonSenateurs (OTT)D232000-03-14 14:34:03Yes223 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
Max JonesSenateurs (OTT)LW251998-02-17 04:52:50Yes220 Lbs6 ft3NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Michael CarconeSenateurs (OTT)LW271996-05-19 05:47:47Yes170 Lbs5 ft9NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Miro HeiskanenSenateurs (OTT)D231999-07-18 05:06:07Yes185 Lbs6 ft1NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$
Nathan BastianSenateurs (OTT)RW251997-12-06 04:54:49Yes205 Lbs6 ft4NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Nick PaulSenateurs (OTT)C281995-03-20 07:21:55Yes229 Lbs6 ft4NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
Parker KellySenateurs (OTT)LW241999-05-14 10:38:58Yes187 Lbs6 ft0NoNoNo3Pro & Farm762,500$0$0$No762,500$762,500$
Rem PitlickSenateurs (OTT)C261997-04-02 04:58:55Yes196 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Ross JohnstonSenateurs (OTT)LW291994-02-18 05:48:53Yes235 Lbs6 ft5NoNoNo2Pro & Farm575,000$0$0$No575,000$
Scott WedgewoodSenateurs (OTT)G301992-08-14 05:11:14Yes207 Lbs6 ft2NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
Sebastian AhoSenateurs (OTT)D271996-02-17 04:06:01Yes183 Lbs5 ft10NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Sonny MilanoSenateurs (OTT)LW271996-05-12 05:11:13Yes195 Lbs6 ft0NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Tim ErixonSenateurs (OTT)D321991-02-24 23:11:13Yes199 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
Tyler MotteSenateurs (OTT)LW281995-03-10 09:15:51Yes192 Lbs5 ft10NoNoNo1Pro & Farm600,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3626.33199 Lbs6 ft12.19981,134$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoJoel Eriksson EkAlexandre Grenier35122
2Tyler MotteAlexandre TexierDenis Malgin35122
3Alex FormentonNick PaulGemel Smith25122
4Max JonesIsac LundestromAlexander Volkov5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Miro HeiskanenChris Wideman35122
2Jonas SiegenthalerBen Harpur35122
3Sebastian AhoMattias Samuelsson30122
4Miro HeiskanenChris Wideman0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoJoel Eriksson EkAlexandre Grenier60122
2Tyler MotteAlexandre TexierDenis Malgin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Miro HeiskanenChris Wideman60122
2Jonas SiegenthalerBen Harpur40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexandre GrenierJoel Eriksson Ek60122
2Denis MalginSonny Milano40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Miro HeiskanenChris Wideman60122
2Jonas SiegenthalerBen Harpur40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexandre Grenier60122Miro HeiskanenChris Wideman60122
2Joel Eriksson Ek40122Jonas SiegenthalerBen Harpur40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexandre GrenierJoel Eriksson Ek60122
2Denis MalginSonny Milano40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Miro HeiskanenChris Wideman60122
2Jonas SiegenthalerBen Harpur40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoJoel Eriksson EkAlexandre GrenierMiro HeiskanenChris Wideman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoJoel Eriksson EkAlexandre GrenierMiro HeiskanenChris Wideman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Paul, Alex Formenton, Gemel SmithNick Paul, Alex FormentonGemel Smith
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sebastian Aho, Mattias Samuelsson, Jonas SiegenthalerSebastian AhoMattias Samuelsson, Jonas Siegenthaler
Tirs de pénalité
Alexandre Grenier, Joel Eriksson Ek, Denis Malgin, Sonny Milano, Alexandre Texier
Gardien
#1 : Scott Wedgewood, #2 : Jake Oettinger
Lignes d’attaque personnalisées en prolongation
Alexandre Grenier, Joel Eriksson Ek, Denis Malgin, Sonny Milano, Alexandre Texier, Tyler Motte, Tyler Motte, Nick Paul, Alex Formenton, Gemel Smith, Isac Lundestrom
Lignes de défense personnalisées en prolongation
Miro Heiskanen, Chris Wideman, Jonas Siegenthaler, Ben Harpur, Sebastian Aho


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
1Avalanche734000001623-730300000413-9431000001210260.429162945002424282221289261260923173391808337.50%17382.35%132066648.05%28761646.59%17537047.30%555325529226434217
2Capitals743000002725232100000911-2422000001814480.5712741680024242822392892612609227604620118316.67%23673.91%032066648.05%28761646.59%17537047.30%555325529226434217
3Red Wings642000001915431200000810-233000000115680.6671932510024242821972892612609170659615729931.03%18572.22%032066648.05%28761646.59%17537047.30%555325529226434217
4Sabres54100000161152110000056-133000000115680.80016264200242428216228926126091395063125281035.71%24579.17%032066648.05%28761646.59%17537047.30%555325529226434217
Total25151000000787441147000002640-141411300000523418300.600781282060024242828192892612609767248244663832530.12%821976.83%132066648.05%28761646.59%17537047.30%555325529226434217
_Since Last GM Reset25151000000787441147000002640-141411300000523418300.600781282060024242828192892612609767248244663832530.12%821976.83%132066648.05%28761646.59%17537047.30%555325529226434217
_Vs Conference1812600000625111844000002227-5108200000402416240.66762991610024242825982892612609536175205483752229.33%651675.38%032066648.05%28761646.59%17537047.30%555325529226434217
_Vs Division11830000035269523000001316-366000000221012160.7273558930024242823592892612609309115159282571933.33%421076.19%032066648.05%28761646.59%17537047.30%555325529226434217

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2530L27812820681976724824466300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25151000007874
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
114700002640
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1411300005234
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
832530.12%821976.83%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
28926126092424282
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
32066648.05%28761646.59%17537047.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
555325529226434217


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
1 - 2022-10-182Senateurs2Sabres1AWR5Sommaire du match
3 - 2022-10-2010Senateurs5Sabres2AWSommaire du match
5 - 2022-10-2218Sabres2Senateurs4BWR5Sommaire du match
7 - 2022-10-2426Sabres4Senateurs1BLSommaire du match
9 - 2022-10-2634Senateurs4Sabres2AWR5Sommaire du match
15 - 2022-11-0157Red Wings4Senateurs2BLR5Sommaire du match
17 - 2022-11-0361Red Wings2Senateurs4BWSommaire du match
19 - 2022-11-0565Senateurs3Red Wings1AWR5Sommaire du match
21 - 2022-11-0769Senateurs2Red Wings1AWSommaire du match
23 - 2022-11-0973Red Wings4Senateurs2BLR5Sommaire du match
25 - 2022-11-1177Senateurs6Red Wings3AWSommaire du match
29 - 2022-11-1585Senateurs3Capitals4ALXR2Sommaire du match
31 - 2022-11-1787Senateurs3Capitals4ALSommaire du match
33 - 2022-11-1989Capitals6Senateurs2BLR2Sommaire du match
35 - 2022-11-2191Capitals1Senateurs2BWSommaire du match
37 - 2022-11-2393Senateurs7Capitals3AWR2Sommaire du match
39 - 2022-11-2595Capitals4Senateurs5BWXSommaire du match
41 - 2022-11-2797Senateurs5Capitals3AWR2Sommaire du match
43 - 2022-11-2999Senateurs3Avalanche2AWSommaire du match
44 - 2022-11-30100Senateurs3Avalanche2AWXSommaire du match
45 - 2022-12-01101Avalanche3Senateurs1BLSommaire du match
46 - 2022-12-02102Avalanche6Senateurs2BLSommaire du match
47 - 2022-12-03103Senateurs5Avalanche4AWSommaire du match
48 - 2022-12-04104Avalanche4Senateurs1BLSommaire du match
49 - 2022-12-05105Senateurs1Avalanche2ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance22,00011,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 3000 - 100.00% 128,250$1,410,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,532,085$ 1,460,918$ 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$




Senateurs 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
1Sonny Milano82414283511419410532212.73%29154518.851115264720294042.7421.0716
2Denis Malgin82453782-11211212433513.43%39161619.72781522134116148.1231.0136
3Alexandre Grenier80383674225627413632111.84%39162720.34119203721338819.6720.9139
4Chris Wideman7975562154551681933.63%92192124.3331013301123030.00%00.6500
5Alexandre Texier8224345864015419518213.19%30150018.3078152100035052.5610.7711

Senateurs 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
1Jake Oettinger60312620.8983.213270011751712726200.88217
2Scott Wedgewood3314540.9082.8416930080867351010.66712

Senateurs 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
17823731023632702591141171601142134138-441201501221136121159627044771711729010010265988388587939258080486621762594517.37%2896477.85%71021200650.90%964202947.51%619125149.48%1785103417477431436719
Total Saison régulière823731023632702591141171601142134138-441201501221136121159627044771711729010010265988388587939258080486621762594517.37%2896477.85%71021200650.90%964202947.51%619125149.48%1785103417477431436719
Séries éliminatoires
1725151000000787441147000002640-14141130000052341830781282060024242828192892612609767248244663832530.12%821976.83%132066648.05%28761646.59%17537047.30%555325529226434217
Total Séries éliminatoires25151000000787441147000002640-14141130000052341830781282060024242828192892612609767248244663832530.12%821976.83%132066648.05%28761646.59%17537047.30%555325529226434217

Senateurs 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
1Sonny Milano2312152712849418015.00%741718.1756111300012356.6701.2900
2Alexandre Grenier2211122349472319311.83%1443819.913691700013016.3301.0500
3Joel Eriksson Ek25615210256794313.95%1453621.47358501111049.3900.7800
4Denis Malgin2511920-9033389911.11%1048219.295271010121048.7800.8300
5Chris Wideman2341519301051586.90%2553723.35381190001300.00%00.7100

Senateurs 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
1Scott Wedgewood2214710.9082.8113222062671286100.00%0
2Jake Oettinger41200.8753.6919500129635000.00%0