Connexion


Centre de jeu
Senators
28-22-7, 63pts
1
FINAL
5 Griffins
19-31-6, 44pts
Team Stats
OTL1StreakL1
16-11-2Home Record12-16-2
12-11-5Away Record7-15-4
5-4-1Last 10 Games3-6-1
2.86Buts par match 2.50
2.93Buts contre par match 3.20
16.35%Pourcentage en avantage numérique24.14%
82.41%Pourcentage en désavantage numérique82.86%
WolfPack
19-28-9, 47pts
1
FINAL
0 Senators
28-22-7, 63pts
Team Stats
W1StreakOTL1
10-15-5Home Record16-11-2
9-13-4Away Record12-11-5
6-3-1Last 10 Games5-4-1
2.75Buts par match 2.86
2.96Buts contre par match 2.93
16.04%Pourcentage en avantage numérique16.35%
82.17%Pourcentage en désavantage numérique82.41%
Senators
28-22-7, 63pts
Jour 127
BaronsOKC
30-26-0, 60pts
Stats Équipe
OTL1SéquenceW2
16-11-2Fiche domicile17-12-0
12-11-5Fiche visiteur13-14-0
5-4-110 derniers matchs4-6-0
2.86Buts par match 3.66
2.93Buts contre par match 3.52
16.35%Pourcentage en avantage numérique14.35%
82.41%Pourcentage en désavantage numérique80.35%
Griffins
19-31-6, 44pts
Jour 128
Senators
28-22-7, 63pts
Stats Équipe
L1SéquenceOTL1
12-16-2Fiche domicile16-11-2
7-15-4Fiche visiteur12-11-5
3-6-110 derniers matchs5-4-1
2.50Buts par match 2.86
3.20Buts contre par match 2.93
24.14%Pourcentage en avantage numérique16.35%
82.86%Pourcentage en désavantage numérique82.41%
EvilSharks
35-17-5, 75pts
Jour 131
Senators
28-22-7, 63pts
Stats Équipe
L1SéquenceOTL1
21-6-2Fiche domicile16-11-2
14-11-3Fiche visiteur12-11-5
8-2-010 derniers matchs5-4-1
3.56Buts par match 2.86
3.09Buts contre par match 2.93
17.84%Pourcentage en avantage numérique16.35%
83.59%Pourcentage en désavantage numérique82.41%
Meneurs d'équipe
Tanner LaczynskiButs
Tanner Laczynski
20
Gage GoncalvesPasses
Gage Goncalves
24
Tanner LaczynskiPoints
Tanner Laczynski
43
Joe HickettsPlus/Moins
Joe Hicketts
10
Colten EllisVictoires
Colten Ellis
18
Matthew MurrayPourcentage d’arrêts
Matthew Murray
0.897

Stats Équipe
Buts pour
163
2.86 GFG
Tirs pour
1340
23.51 Avg
Pourcentage en avantage numérique
16.3%
43 GF
Début de zone offensive
38.5%
Buts contre
167
2.93 GAA
Tirs contre
1581
27.74 Avg
Pourcentage en désavantage numérique
82.4%
38 GA
Début de la zone défensive
41.2%
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 Pro28
Équipe Mineure19
Limite contact 47 / 50
Espoirs25
Historique d'équipe
Saison actuelle28-22-7 (63PTS)
Historique156-113-27 (0.527%)
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
1Connor DewarX100.0099538479537476547850577040747465276302622,000,000$
2Gage GoncalvesX100.0068458580557684594056616590707375366302431,000,000$
3Carl GrundstromX100.0099488177617181524049546365787555326202811,975,000$
4Vincent HinostrozaX100.006542858149776956405161666984814036620312950,000$
5Tanner LaczynskiX100.006247798166605062406460654078695536620282975,000$
6Tomas NosekX100.0073518775677183518751517040888030366203312,000,000$
7Nikita NesterenkoX100.009449887863725757404866624070717536620241750,000$
8Cameron HebigX100.005547808050766654704662704078775521610282900,000$
9Cole GuttmanX100.005045808248796958706057509074776536610261825,000$
10Sam Morton (R)X100.006146858856796951704953514074776530590263575,000$
11Braeden Bowman (R)X100.0075528683707767474047475540667285365802231,500,000$
12Joe HickettsX100.007639757541666144405236684080735036610291950,000$
13Nikita NovikovX100.006250757572726739403741704066698536610222925,000$
14Noel HoefenmayerX100.007153787565555047405144674074656536600262900,000$
15Matt KierstedX100.005544787552686344405632704076726035600272850,000$
16Cole ClaytonX100.006560787564676235403832654072707021590253900,000$
17Declan CarlileX100.005349717563595439403543704072667020580252950,000$
Rayé
1Jake LucchiniX100.005348797751796951704855678082814533600302900,000$
2Zack OstapchukX100.008666747575708148844451634066688518590222925,000$
3Noah Philp (R)X100.006351877566705350745150654076736032580273575,000$
4Alexander NylanderX100.0050478676667363534047595040767560105702712,443,760$
5Liam FoudyX100.005449837657796951404953504072767015570253775,000$
6Francesco PinelliX100.005757777556796942403648624066738520550222925,000$
7David Spacek (A)X100.005146817556767144405137504066718520570222925,000$
MOYENNE D’ÉQUIPE 100.00674981785972675052495063487473652960
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 Murray100.00757279867268677071729976726030710271900,000$
2Colten Ellis100.00897176846868616766668772707032690251750,000$
Rayé
1Carl Lindbom (R)100.00756468846162615860589966648528630222750,000$
2Magnus Chrona100.00825760925050505050505072617020580251632,500$
MOYENNE D’ÉQUIPE100.0080667187636260616262847267712865
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
1Tanner LaczynskiSenators (Ott)LW57202343216067100131339815.27%689415.6861218241980000282231.48%5400000.9611000355
2Gage GoncalvesSenators (Ott)RW57182442-516055105149369112.08%792916.308917332160001204139.02%4100100.9015000414
3Nikita NesterenkoSenators (Ott)C57181836-101601131121283010814.06%394116.523912322100001226037.97%101400010.7600000622
4Vincent HinostrozaSenators (Ott)C57161935580531271243210012.90%591516.066511412210000444041.50%70600010.7624000531
5Cole GuttmanSenators (Ott)C57131427-2401513685235115.29%795116.7001135501141611055.74%89700000.5715000120
6Drew HellesonSenatorsD3571825-135551484453193613.21%4780222.934483090000099100.00%000000.6200010152
7Joe HickettsSenators (Ott)D574192310940174511271133.33%47104818.390001110110146110.00%000000.4400000122
8Sam MortonSenators (Ott)RW5531821-710011415912385.08%482014.9207722178011031057.14%14700000.5100000102
9Connor DewarSenators (Ott)LW35911200335723759203615.25%551214.6533616960000120254.72%5300000.7802001213
10Noel HoefenmayerSenators (Ott)D5751419-124801574746122010.87%58124921.92551025167000077000.00%000000.3000000212
11Tomas NosekSenators (Ott)LW5781018-34010466758194713.79%480214.0800031410131450158.43%8900000.4500101105
12Noah PhilpSenators (Ott)C2861218-48012635944210.17%648117.1815612810004771162.67%52500000.7500000011
13Matt KierstedSenators (Ott)D541161751407157167136.25%58110620.501234560000156000.00%000000.3100000002
14Jake LucchiniSenators (Ott)C342141624017444024395.00%370420.73156161430003950052.70%7400000.4501000002
15Carl GrundstromSenators (Ott)RW5751015-8595140588230506.10%873012.82011427000001039.13%4600000.4112000012
16Braeden BowmanSenators (Ott)LW4751015-2341046407514456.67%981117.26347281700001492057.50%4000000.3700002010
17Nikita NovikovSenators (Ott)D5721214-134010060228199.09%74137824.191125370000152000.00%000000.2001000100
18Cameron HebigSenators (Ott)C1957122205474882610.42%435318.6022419750001280050.84%23800000.6800000011
19Declan CarlileSenators (Ott)D174261603211114636.36%2237221.92000658000040010.00%000000.3200000102
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 moyenne936155277432-515273513841281129334888911.99%4011648217.614477121330218313420144224948.64%396400120.52621114293039
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)35181240.8962.832035154969230200.833123514342
2Matthew MurraySenators (Ott)2210930.8972.83133801636100100.800102215230
3Carl LindbomSenators (Ott)1511120.8663.4987720513820000.75041424000
4Magnus ChronaSenators (Ott)10100.8575.4655005350000.000004000
Statistiques d’équipe totales ou en moyenne73293390.8903.00430717521519500300.808267157572


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
Connor DewarSenators (Ott)LW261999-06-26No192 Lbs5 ft10NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
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
2825.86193 Lbs6 ft11.891,050,938$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor DewarTomas 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
1Connor DewarNikita 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
1Connor DewarBraeden 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
1Connor Dewar50140Declan CarlileNoel Hoefenmayer50140
2Tomas Nosek50140Nikita NovikovJoe Hicketts50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor DewarGage 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 HebigConnor DewarNoel HoefenmayerJoe Hicketts
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gage GoncalvesCole GuttmanCarl GrundstromMatt KierstedNikita Novikov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Guttman, Connor Dewar, 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
1Bandits1010000014-3000000000001010000014-300.00012300615840616443454429344810822500.00%30100.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
2BaronsOKC1000000156-1000000000001000000156-110.5005914006158406394434544293430512268337.50%5180.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
3BigBadStars53200000131034220000010911100000031260.60013213400615840611744345442934159353415020525.00%16381.25%0841164751.06%865176249.09%42986549.60%14269961323407714369
4Checkers1000010012-1000000000001000010012-110.5001230061584062144345442934238416300.00%10100.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
5Darkness42200000871211000005412110000033040.500813210161584066844345442934751128681119.09%12283.33%0841164751.06%865176249.09%42986549.60%14269961323407714369
6Draveurs1010000024-2000000000001010000024-200.00023500615840619443454429343788263266.67%4250.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
7Griffins512001101316-310000010321412001001014-450.50013243700615840611744345442934124324611025416.00%15566.67%0841164751.06%865176249.09%42986549.60%14269961323407714369
8IceHawks21100000651110000004221010000023-120.500610160061584064244345442934427146010110.00%70100.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
9IceHogs11000000761000000000001100000076121.000714210061584063044345442934511223216116.67%6266.67%0841164751.06%865176249.09%42986549.60%14269961323407714369
10Iceberg11000000541110000005410000000000021.00051015006158406464434544293436101024300.00%5180.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
11Magics11000000826110000008260000000000021.00081422006158406354434544293421412239444.44%6183.33%0841164751.06%865176249.09%42986549.60%14269961323407714369
12Mighty Ducks1010000014-3000000000001010000014-300.0001230061584061644345442934309427600.00%2150.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
13National513000101220-8412000101116-51010000014-340.4001219310061584061074434544293412545571082528.00%22768.18%0841164751.06%865176249.09%42986549.60%14269961323407714369
14Nordiques211000005501010000034-11100000021120.5005914006158406404434544293440833451218.33%14285.71%0841164751.06%865176249.09%42986549.60%14269961323407714369
15Oceanic5310001015114210000109723210000064280.80015264102615840613644345442934142283812918527.78%17476.47%0841164751.06%865176249.09%42986549.60%14269961323407714369
16Pantheres422000001416-21010000014-3321000001312140.5001423370061584069744345442934144352811419315.79%13376.92%0841164751.06%865176249.09%42986549.60%14269961323407714369
17Remparts11000000431000000000001100000043121.000471100615840622443454429342686197228.57%20100.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
18Roadrunners1010000014-31010000014-30000000000000.000123006158406164434544293426111216400.00%5180.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
19Sagueneens220000001129110000007071100000042241.0001121320161584065544345442934288254111218.18%40100.00%1841164751.06%865176249.09%42986549.60%14269961323407714369
20SilverKnights1000010023-1000000000001000010023-110.50023500615840626443454429342481532600.00%50100.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
21Spiders53100100141313300000011562010010038-570.70014223601615840611844345442934159444013020420.00%18288.89%0841164751.06%865176249.09%42986549.60%14269961323407714369
22Thunder31100001910-131100001910-10000000000030.5009152400615840675443454429349226346210220.00%160100.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
23WolfPack1000010001-11000010001-10000000000010.5000000061584062144345442934231833500.00%40100.00%0841164751.06%865176249.09%42986549.60%14269961323407714369
24Wolves3020001069-32020000026-41000001043120.33369150061584066144345442934762333711715.88%14192.86%0841164751.06%865176249.09%42986549.60%14269961323407714369
Total57242200542163167-42913110013189809281111004117487-13630.553163280443056158406134044345442934158139653213732634316.35%2163882.41%1841164751.06%865176249.09%42986549.60%14269961323407714369
_Since Last GM Reset57242200542163167-42913110013189809281111004117487-13630.553163280443056158406134044345442934158139653213732634316.35%2163882.41%1841164751.06%865176249.09%42986549.60%14269961323407714369
_Vs Conference45211700241136127925129000318067132098002105660-4530.589136231367056158406105844345442934123831041210872013517.41%1663081.93%1841164751.06%865176249.09%42986549.60%14269961323407714369
_Vs Division141513002303643-71086000303030047700200613-7381.3573660960161584063324434544293438310814834065710.77%631280.95%0841164751.06%865176249.09%42986549.60%14269961323407714369

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
5763OTL116328044313401581396532137305
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5724220542163167
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29131101318980
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
28111104117487
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2634316.35%2163882.41%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
443454429346158406
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
841164751.06%865176249.09%42986549.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14269961323407714369


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
127904Senators-BaronsOKC-
128914Griffins-Senators-
131937EvilSharks-Senators-
133955Senators-Magics-
134966Eagles-Senators-
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
203957242200542163167-42913110013189809281111004117487-1363163280443056158406134044345442934158139653213732634316.35%2163882.41%1841164751.06%865176249.09%42986549.60%14269961323407714369
Total Saison régulière2971291130131414148708502014972480778744838563148576506767422465-43340870154324133242263082499170671695233623737127413200529786910128123818.58%126622082.62%84592856253.63%4486839453.44%2428446754.35%770154636657205936711909
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