Connexion


Centre de jeu
Senators
32-22-8, 72pts
5
FINAL
2 Magics
23-29-12, 58pts
Team Stats
OTW1StreakL1
18-11-3Home Record14-14-3
14-11-5Away Record9-15-9
6-2-2Last 10 Games3-6-1
2.95Buts par match 2.80
2.94Buts contre par match 3.38
16.43%Pourcentage en avantage numérique12.59%
82.10%Pourcentage en désavantage numérique81.16%
Eagles
35-21-6, 76pts
3
FINAL
4 Senators
32-22-8, 72pts
Team Stats
OTL1StreakOTW1
17-11-3Home Record18-11-3
18-10-3Away Record14-11-5
5-3-2Last 10 Games6-2-2
2.81Buts par match 2.95
2.71Buts contre par match 2.94
16.42%Pourcentage en avantage numérique16.43%
82.18%Pourcentage en désavantage numérique82.10%
Senators
32-22-8, 72pts
Jour 136
Darkness
18-39-6, 42pts
Stats Équipe
OTW1SéquenceL2
18-11-3Fiche domicile10-19-2
14-11-5Fiche visiteur8-20-4
6-2-210 derniers matchs2-8-0
2.95Buts par match 2.16
2.94Buts contre par match 3.10
16.43%Pourcentage en avantage numérique14.50%
82.10%Pourcentage en désavantage numérique86.10%
Griffins
21-32-7, 49pts
Jour 139
Senators
32-22-8, 72pts
Stats Équipe
W1SéquenceOTW1
13-17-2Fiche domicile18-11-3
8-15-5Fiche visiteur14-11-5
5-3-210 derniers matchs6-2-2
2.52Buts par match 2.95
3.15Buts contre par match 2.94
24.42%Pourcentage en avantage numérique16.43%
82.61%Pourcentage en désavantage numérique82.10%
IceHogs
35-23-5, 75pts
Jour 142
Senators
32-22-8, 72pts
Stats Équipe
L4SéquenceOTW1
18-10-3Fiche domicile18-11-3
17-13-2Fiche visiteur14-11-5
4-6-010 derniers matchs6-2-2
3.90Buts par match 2.95
3.68Buts contre par match 2.94
20.08%Pourcentage en avantage numérique16.43%
83.28%Pourcentage en désavantage numérique82.10%
Meneurs d'équipe
Tanner LaczynskiButs
Tanner Laczynski
22
Gage GoncalvesPasses
Gage Goncalves
25
Gage GoncalvesPoints
Gage Goncalves
45
Joe HickettsPlus/Moins
Joe Hicketts
8
Colten EllisVictoires
Colten Ellis
22
Matthew MurrayPourcentage d’arrêts
Matthew Murray
0.897

Stats Équipe
Buts pour
183
2.95 GFG
Tirs pour
1454
23.45 Avg
Pourcentage en avantage numérique
16.4%
47 GF
Début de zone offensive
38.5%
Buts contre
182
2.94 GAA
Tirs contre
1695
27.34 Avg
Pourcentage en désavantage numérique
82.1%
41 GA
Début de la zone défensive
41.0%
Information d’équipe
Directeur généralGuy Morin
EntraîneurBrock Sheahan
DivisionAtlantic
ConférenceEastern
Capitaine
Assistant #1David Spacek
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs25
Historique d'équipe
Saison actuelle32-22-8 (72PTS)
Historique160-113-30 (0.528%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)18-9
Stanley Cup1


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
1Gage GoncalvesX100.0068458580557684594056616590707375436402431,000,000$
2Carl GrundstromX100.0099488177617181524049546365787555396202811,975,000$
3Vincent HinostrozaX100.006542858149776956405161666984814043620312950,000$
4Tanner LaczynskiX100.006247798166605062406460654078695543620282975,000$
5Tomas NosekX100.0073518775677183518751517040888030436203312,000,000$
6Nikita NesterenkoX100.009449887863725757404866624070717543620241750,000$
7Cameron HebigX100.005547808050766654704662704078775528610282900,000$
8Cole GuttmanX100.005045808248796958706057509074776543610261825,000$
9Sam Morton (R)X100.006146858856796951704953514074776538590263575,000$
10Braeden Bowman (R)X100.0075528683707767474047475540667285465802231,500,000$
11Liam FoudyX100.005449837657796951404953504072767015570253775,000$
12Joe HickettsX100.007639757541666144405236684080735043610291950,000$
13Nikita NovikovX100.006250757572726739403741704066698543610222925,000$
14Noel HoefenmayerX100.007153787565555047405144674074656543600262900,000$
15Matt KierstedX100.005544787552686344405632704076726043600272850,000$
16Cole ClaytonX100.006560787564676235403832654072707022590253900,000$
17Declan CarlileX100.005349717563595439403543704072667028580252950,000$
Rayé
1Jake LucchiniX100.005348797751796951704855678082814528600302900,000$
2Zack OstapchukX100.008666747575708148844451634066688518590222925,000$
3Noah Philp (R)X100.006351877566705350745150654076736027580273575,000$
4Alexander NylanderX100.0050478676667363534047595040767560105702712,443,760$
5Francesco PinelliX100.005757777556796942403648624066738520550222925,000$
6David Spacek (A)X100.005146817556767144405137504066718520570222925,000$
MOYENNE D’ÉQUIPE 100.00654981786072664951495062487473653360
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
1Matthew Murray100.00757279867268677071729976726038710271900,000$
2Colten Ellis100.00897176846868616766668772707041690251750,000$
Rayé
1Carl Lindbom (R)100.00756468846162615860589966648525630222750,000$
2Magnus Chrona100.00825760925050505050505072617020580251632,500$
MOYENNE D’ÉQUIPE100.0080667187636260616262847267713165
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brock Sheahan76667659767588CAN414250,000$


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
1Gage GoncalvesSenators (Ott)RW62202545-418059112159399312.58%7100816.268917352330001224138.30%4700100.8917000414
2Tanner LaczynskiSenators (Ott)LW622223453160691141463910715.07%698615.9161218302160000292232.20%5900000.9111000356
3Nikita NesterenkoSenators (Ott)C62192342-102001191211383411913.77%3102916.6141014352260001226037.75%111000010.8200000622
4Vincent HinostrozaSenators (Ott)C62172138780611341393610812.23%5100916.286612432390000454141.41%71000010.7526000631
5Cole GuttmanSenators (Ott)C62151631-2402014691255916.48%9103716.7301135701141721055.82%98000000.6027000220
6Connor DewarSenatorsLW391213250375814974244316.22%658114.90549181100000170355.41%7400000.8613001223
7Drew HellesonSenatorsD3571825-135551484453193613.21%4780222.934483090000099100.00%000000.6200010152
8Joe HickettsSenators (Ott)D624202481000184551471328.57%53114118.420001120110156110.00%000000.4200000122
9Sam MortonSenators (Ott)RW6032023-510018516115414.92%490815.1507723197011031054.42%22600000.5100000112
10Tomas NosekSenators (Ott)LW628142204010567762255312.90%490714.6400031510131540157.34%14300000.4800101115
11Noel HoefenmayerSenators (Ott)D6251621-105001685347132510.64%61136322.00561125181000082000.00%000000.3101000212
12Matt KierstedSenators (Ott)D5921820514076631871411.11%65120920.502355610000167100.00%000000.3300000002
13Carl GrundstromSenators (Ott)RW6271118-8615152669135587.69%881713.18011645000011139.22%5100000.4413000012
14Braeden BowmanSenators (Ott)LW5271118-2391552438116518.64%1092017.70347291870001593054.17%4800000.3901102010
15Noah PhilpSenators (Ott)C2861218-48012635944210.17%648117.1815612810004771162.67%52500000.7500000011
16Cameron HebigSenators (Ott)C24791644095457103612.28%440716.9922419750001291051.25%24000000.7800000022
17Jake LucchiniSenators (Ott)C342141624017444024395.00%370420.73156161430003950052.70%7400000.4501000002
18Nikita NovikovSenators (Ott)D6221315442011466249228.33%79150324.251125410000156000.00%000000.2012000101
19Declan CarlileSenators (Ott)D22561156037161541433.33%2548221.92011874000048010.00%000000.4600000203
20Cole ClaytonSenators (Ott)D15235-480241591422.22%1933422.29022347000041000.00%000000.3000000021
21Oskar SundqvistSenatorsRW8213040811163412.50%115619.570003200002290070.00%1000000.3800000020
22Liam FoudySenators (Ott)LW9011-100323110.00%0525.8400000000000020.00%500000.3800000000
23Zack OstapchukSenators (Ott)RW8011-51401557140.00%410513.2500001000060056.00%2500000.1900000000
24Alexander NylanderSenators (Ott)RW2000-100011000.00%02412.470000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1015174309483-315624015021405140539198612.38%4291797917.7148831313522362134201520271248.58%432700120.54932214323443
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
1Colten EllisSenators (Ott)40221250.8942.81235115411010370300.783234014342
2Matthew MurraySenators (Ott)2210930.8972.83133801636100100.800102220230
3Carl LindbomSenators (Ott)1511120.8663.4987720513820000.75041424000
4Magnus ChronaSenators (Ott)10100.8575.4655005350000.000004000
Statistiques d’équipe totales ou en moyenne783333100.8892.97462217522920640400.784377662572


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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Alexander NylanderSenators (Ott)RW271998-03-02No205 Lbs6 ft1NoNoYes1Pro & Farm2,443,760$0$0$No
UFA
Lien / Lien NHL
Braeden BowmanSenators (Ott)LW222003-06-26Yes210 Lbs6 ft2NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
RFA
Lien / Lien NHL
Cameron HebigSenators (Ott)C281997-01-21No185 Lbs5 ft10NoNoNo2Pro & Farm900,000$0$0$No900,000$
UFA
Lien / Lien NHL
Carl GrundstromSenators (Ott)RW281997-12-01No200 Lbs6 ft0NoNoNo1Pro & Farm1,975,000$0$0$No
UFA
Lien / Lien NHL
Carl LindbomSenators (Ott)G222003-05-20Yes185 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Cole ClaytonSenators (Ott)D252000-02-29No198 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
UFA
Lien / Lien NHL
Cole GuttmanSenators (Ott)C261999-04-06No181 Lbs5 ft10NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Colten EllisSenators (Ott)G252000-10-05No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
David SpacekSenators (Ott)D222003-02-18No190 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Declan CarlileSenators (Ott)D252000-05-18No192 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No950,000$
RFA
Lien / Lien NHL
Francesco PinelliSenators (Ott)LW222003-04-11No190 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Gage GoncalvesSenators (Ott)RW242001-01-16No184 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
RFA
Lien / Lien NHL
Jake LucchiniSenators (Ott)C301995-05-09No179 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$
UFA
Lien / Lien NHL
Joe HickettsSenators (Ott)D291996-05-04No176 Lbs5 ft8NoNoNo1Pro & Farm950,000$0$0$No
UFA
Lien / Lien NHL
Liam FoudySenators (Ott)LW252000-02-04No183 Lbs6 ft2NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$
UFA
Lien / Lien NHL
Magnus ChronaSenators (Ott)G252000-08-28No194 Lbs6 ft4NoNoNo1Pro & Farm632,500$0$0$No
RFA
Lien / Lien NHL
Matt KierstedSenators (Ott)D271998-04-14No181 Lbs6 ft0NoNoNo2Pro & Farm850,000$0$0$No850,000$
UFA
Lien / Lien NHL
Matthew MurraySenators (Ott)G271998-02-02No195 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
UFA
Lien / Lien NHL
Nikita NesterenkoSenators (Ott)C242001-09-10No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Nikita NovikovSenators (Ott)D222003-07-25No205 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Noah PhilpSenators (Ott)C271998-08-31Yes198 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Lien / Lien NHL
Noel HoefenmayerSenators (Ott)D261999-01-06No204 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$
UFA
Lien / Lien NHL
Sam MortonSenators (Ott)RW261999-07-28Yes190 Lbs6 ft0NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Lien / Lien NHL
Tanner LaczynskiSenators (Ott)LW281997-06-01No205 Lbs6 ft1NoNoNo2Pro & Farm975,000$0$0$No975,000$
UFA
Lien / Lien NHL
Tomas NosekSenators (Ott)LW331992-09-01No199 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Lien / Lien NHL
Vincent HinostrozaSenators (Ott)C311994-04-03No183 Lbs5 ft10NoNoNo2Pro & Farm950,000$0$0$No950,000$
UFA
Lien / Lien NHL
Zack OstapchukSenators (Ott)RW222003-05-29No212 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.85193 Lbs6 ft11.891,015,787$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tomas NosekGage Goncalves25113
2Carl GrundstromNikita NesterenkoBraeden Bowman25113
3Tanner LaczynskiSam MortonVincent Hinostroza25113
4Cameron HebigCole GuttmanTomas Nosek25113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan CarlileNikita Novikov30113
2Matt KierstedNoel Hoefenmayer30113
3Joe HickettsNikita Novikov25122
4Declan CarlileNoel Hoefenmayer15122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikita NesterenkoBraeden Bowman50104
2Tanner LaczynskiSam MortonGage Goncalves50104
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent HinostrozaDeclan Carlile50014
2Noel HoefenmayerCarl Grundstrom50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Braeden Bowman50131
2Cole GuttmanTomas Nosek50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan CarlileNikita Novikov50131
2Matt KierstedJoe Hicketts50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150140Declan CarlileNoel Hoefenmayer50140
2Tomas Nosek50140Nikita NovikovJoe Hicketts50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gage Goncalves50113
2Nikita NesterenkoBraeden Bowman50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan CarlileNikita Novikov50113
2Joe HickettsMatt Kiersted50113
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner LaczynskiCameron HebigNoel HoefenmayerJoe Hicketts
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gage GoncalvesCole GuttmanCarl GrundstromMatt KierstedNikita Novikov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Guttman, , Tanner LaczynskiTanner Laczynski, Vincent HinostrozaBraeden Bowman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noel Hoefenmayer, Joe Hicketts, Nikita NovikovMatt KierstedJoe Hicketts, Nikita Novikov
Tirs de pénalité
Gage Goncalves, Cole Guttman, Vincent Hinostroza, Carl Grundstrom, Braeden Bowman
Gardien
#1 : Colten Ellis, #2 : Matthew Murray


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
1Bandits1010000014-3000000000001010000014-300.000123006860481116491476463554810822500.00%30100.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
2BaronsOKC20000011990000000000002000001199030.75091423006860481167491476463556217165012325.00%7271.43%0910178151.09%930189749.02%47195049.58%155610881443445780402
3BigBadStars53200000131034220000010911100000031260.600132134006860481111749147646355159353415020525.00%16381.25%0910178151.09%930189749.02%47195049.58%155610881443445780402
4Checkers1000010012-1000000000001000010012-110.50012300686048112149147646355238416300.00%10100.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
5Darkness42200000871211000005412110000033040.5008132101686048116849147646355751128681119.09%12283.33%0910178151.09%930189749.02%47195049.58%155610881443445780402
6Draveurs1010000024-2000000000001010000024-200.000235006860481119491476463553788263266.67%4250.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
7Eagles10001000431100010004310000000000021.000461000686048112349147646355265825300.00%40100.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
8EvilSharks1000000134-11000000134-10000000000010.500358006860481126491476463552586214250.00%20100.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
9Griffins612011101719-220001010752412001001014-470.583173148006860481113549147646355145335212930620.00%18666.67%0910178151.09%930189749.02%47195049.58%155610881443445780402
10IceHawks21100000651110000004221010000023-120.5006101600686048114249147646355427146010110.00%70100.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
11IceHogs11000000761000000000001100000076121.0007142100686048113049147646355511223216116.67%6266.67%0910178151.09%930189749.02%47195049.58%155610881443445780402
12Iceberg11000000541110000005410000000000021.000510150068604811464914764635536101024300.00%5180.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
13Magics220000001349110000008261100000052341.00013233600686048115449147646355316235216425.00%8275.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
14Mighty Ducks1010000014-3000000000001010000014-300.00012300686048111649147646355309427600.00%2150.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
15National513000101220-8412000101116-51010000014-340.40012193100686048111074914764635512545571082528.00%22768.18%0910178151.09%930189749.02%47195049.58%155610881443445780402
16Nordiques211000005501010000034-11100000021120.50059140068604811404914764635540833451218.33%14285.71%0910178151.09%930189749.02%47195049.58%155610881443445780402
17Oceanic5310001015114210000109723210000064280.800152641026860481113649147646355142283812918527.78%17476.47%0910178151.09%930189749.02%47195049.58%155610881443445780402
18Pantheres422000001416-21010000014-3321000001312140.50014233700686048119749147646355144352811419315.79%13376.92%0910178151.09%930189749.02%47195049.58%155610881443445780402
19Remparts11000000431000000000001100000043121.0004711006860481122491476463552686197228.57%20100.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
20Roadrunners1010000014-31010000014-30000000000000.0001230068604811164914764635526111216400.00%5180.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
21Sagueneens220000001129110000007071100000042241.00011213201686048115549147646355288254111218.18%40100.00%1910178151.09%930189749.02%47195049.58%155610881443445780402
22SilverKnights1000010023-1000000000001000010023-110.500235006860481126491476463552481532600.00%50100.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
23Spiders53100100141313300000011562010010038-570.700142236016860481111849147646355159444013020420.00%18288.89%0910178151.09%930189749.02%47195049.58%155610881443445780402
24Thunder31100001910-131100001910-10000000000030.50091524006860481175491476463559226346210220.00%160100.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
25WolfPack1000010001-11000010001-10000000000010.50000000686048112149147646355231833500.00%40100.00%0910178151.09%930189749.02%47195049.58%155610881443445780402
26Wolves3020001069-32020000026-41000001043120.333691500686048116149147646355762333711715.88%14192.86%0910178151.09%930189749.02%47195049.58%155610881443445780402
Total622522025531831821321311021321009010301211004218392-9720.5811833124950568604811145449147646355169542456714912864716.43%2294182.10%1910178151.09%930189749.02%47195049.58%155610881443445780402
_Since Last GM Reset622522025531831821321311021321009010301211004218392-9720.5811833124950568604811145449147646355169542456714912864716.43%2294182.10%1910178151.09%930189749.02%47195049.58%155610881443445780402
_Vs Conference4822170124214813612271290103287741321108002106162-1580.6041482524000568604811112149147646355129432143511562173917.97%1733281.50%1910178151.09%930189749.02%47195049.58%155610881443445780402
_Vs Division151513012303947-81186010303334-147700200613-7401.333396510401686048113584914764635540811615436169913.04%651281.54%0910178151.09%930189749.02%47195049.58%155610881443445780402

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
6272OTW118331249514541695424567149105
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6225222553183182
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321311213210090
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30121104218392
Derniers 10 matchs
WLOTWOTL SOWSOL
322111
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2864716.43%2294182.10%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
4914764635568604811
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
910178151.09%930189749.02%47195049.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
155610881443445780402


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
212Senators1Spiders5ALSommaire du match
425BigBadStars3Senators2BLSommaire du match
527Senators3Griffins4ALXSommaire du match
849National5Senators3BLSommaire du match
1169Senators2Darkness1AWSommaire du match
1380Oceanic4Senators5BWXXSommaire du match
16103BigBadStars2Senators0BLSommaire du match
17111Senators2Spiders3ALXSommaire du match
20133Senators0Oceanic4ALSommaire du match
21138Senators5Pantheres3AWSommaire du match
23154Darkness4Senators3BLSommaire du match
27176Spiders3Senators4BWSommaire du match
30196National5Senators0BLSommaire du match
32211Senators1National4ALSommaire du match
34228Thunder1Senators5BWSommaire du match
35237Senators2Griffins3ALSommaire du match
37253Senators4Pantheres2AWSommaire du match
39268National4Senators5BWXXSommaire du match
42288Senators4Remparts3AWSommaire du match
43298Iceberg4Senators5BWSommaire du match
47323Spiders2Senators3BWSommaire du match
50346Thunder6Senators2BLSommaire du match
52360Senators3BigBadStars1AWSommaire du match
55379Oceanic3Senators4BWSommaire du match
56393Senators7IceHogs6AWSommaire du match
58404Senators5BaronsOKC6ALXXSommaire du match
60417Wolves4Senators1BLSommaire du match
62437Senators1Darkness2ALSommaire du match
63446IceHawks2Senators4BWSommaire du match
66466Senators2Oceanic0AWSommaire du match
68479BigBadStars2Senators4BWSommaire du match
70498Senators2SilverKnights3ALXSommaire du match
71507Senators4Sagueneens2AWSommaire du match
73516Darkness0Senators2BWSommaire du match
76540Pantheres4Senators1BLSommaire du match
78557Senators4Wolves3AWXXSommaire du match
80572Griffins2Senators3BWXXSommaire du match
82587Senators2Draveurs4ALSommaire du match
84598Senators4Oceanic0AWSommaire du match
85608Nordiques4Senators3BLSommaire du match
88632Senators1Bandits4ALSommaire du match
89641Thunder3Senators2BLXXSommaire du match
92661Senators4Pantheres7ALSommaire du match
93672Spiders0Senators4BWSommaire du match
97693Senators1Mighty Ducks4ALSommaire du match
98704BigBadStars2Senators4BWSommaire du match
101722Senators1Checkers2ALXSommaire du match
103733National2Senators3BWSommaire du match
105747Senators4Griffins2AWSommaire du match
107763Magics2Senators8BWSommaire du match
110787Roadrunners4Senators1BLSommaire du match
111798Senators2IceHawks3ALSommaire du match
114813Senators2Nordiques1AWSommaire du match
116828Sagueneens0Senators7BWSommaire du match
119849Wolves2Senators1BLSommaire du match
123872Senators1Griffins5ALSommaire du match
124884WolfPack1Senators0BLXSommaire du match
127904Senators4BaronsOKC3AWXXSommaire du match
128914Griffins3Senators4BWXSommaire du match
131937EvilSharks4Senators3BLXXSommaire du match
133955Senators5Magics2AWSommaire du match
134966Eagles3Senators4BWXSommaire du match
136979Senators-Darkness-
1391001Griffins-Senators-
1421026IceHogs-Senators-
1441035Senators-Vikings-
1461057Oceanic-Senators-
1471063Senators-Thunder-
1501081Senators-National-
1521094Darkness-Senators-
1541110Senators-National-
1561122IceBears-Senators-
1571130Senators-BigBadStars-
1601154HC-Senators-
1621167Senators-BigBadStars-
1651186Pantheres-Senators-
1661198Senators-Spiders-
1691214Pantheres-Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711222Senators-EvilSharks-
1751246Iceberg-Senators-
1761252Senators-Spiders-
1781263Senators-Cyclones-



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
1Ben Ondrus1586292484776-46200723382289280010.43%9332675316.8768106174382781574321451.13%70.58725
2Jaroslav Bednar3091091352441710039955487112.51%98648420.981840581296283417459.86%30.75847
3Riley Stillman3554114919058533106732036511.23%366728720.532236582050334530.00%00.5200
4Riley Barber2577511418940449243661612.18%22430416.75173451118112813345.76%00.88513
5Teddy Blueger249841051892416433371361013.77%76461318.532334571081341718560.61%20.82523

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
1Brent Krahn271123109380.8962.5816199215697673421341550.743148
2Joonas Korpisalo17110751130.9012.1910307102237638040520.80968
3Magnus Hellberg16110443140.9022.409732101638939850700.78789
4Mattias Modig22984120180.8793.151310122136875692120830.74775
5Thomas McCollum1736981170.8902.691009521945240940720.76869

Senators Statistiques de l'Équipe de Carrière
TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
203680343506122230265-3540191404111124126-240152102011106139-3387230414644140917160181605996105802075587102220393136119.49%4197781.62%21131218551.76%1183226152.32%663123453.73%200714171853554974496
2037824622042442831978641286012311427567411816030131411221911428350278511092948912229571175581142194954182619403467421.39%3725186.29%41369261552.35%1258234253.71%656125552.27%2164154218065601006525
203878253403646194221-273912170231493104-1139131701332101117-16761943475411573654913161654152852356180848159815583596016.71%2595479.15%11251211559.15%1180202958.16%680111361.10%210215061674536976518
2039622522025531831821321311021321009010301211004218392-9721833124950568604811145449147646355169542456714912864716.43%2294182.10%1910178151.09%930189749.02%47195049.58%155610881443445780402
Total Saison régulière3021301130151415158908652515272480978845939564150586506777431470-39349890157524653242333102579671811743235824077337527203330137028130424218.56%127922382.56%84661869653.60%4551852953.36%2470455254.26%783055546777209637371943
Séries éliminatoires
2036624000001921-232100000128430300000713-6419355400031151380444153113286213820210.00%31970.97%28817051.76%5815138.41%489848.98%13292156437133
20372116500000775027109100000351817117400000423210327713421111252624253117315517330389129236453832125.30%1031486.41%132564250.62%29057150.79%17733053.64%527363494156274138
Total Séries éliminatoires27189000009671251311200000472621147700000494543696169265112529357669173199214835021572985911032322.33%1342382.84%341381250.86%34872248.20%22542852.57%659456651200346172

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
1Ryan Donato52211940884111412816.41%480615.502682611245152.04%10.9900
2Tyler Motte39191938114211814114313.29%1677319.823471610113143.70%10.9800
3Nate Thompson32112435536431198712.64%766820.8947111600011067.76%01.0500
4Riley Barber5215193496218512911.63%386516.6455103100024333.33%00.7900
5Nolan Patrick32161733610148611214.29%771922.475492800041170.86%00.9200

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
1Magnus Hellberg39241410.9012.7124182110911020210.0000
2Scott Wedgewood1815300.8822.08109401383220110.0000
3Joonas Korpisalo147610.8892.7286020393520000.0000
4Dylan Wells62400.8003.9132200211050000.0000
5Pyotr Kochetkov41200.8333.282012011660000.0000