Connexion


Centre de jeu
Wolves
5-3-1, 11pts
2
FINAL
3 Senators
1-6-1, 3pts
Team Stats
W1StreakL1
1-2-1Home Record1-3-0
4-1-0Away Record0-3-1
5-3-1Last 10 Games1-6-1
3.00Buts par match 2.13
3.22Buts contre par match 4.00
16.67%Pourcentage en avantage numérique12.77%
91.89%Pourcentage en désavantage numérique73.33%
Senators
1-6-1, 3pts
2
FINAL
4 Oceanic
7-1-1, 15pts
Team Stats
L1StreakW3
1-3-0Home Record4-0-0
0-3-1Away Record3-1-1
1-6-1Last 10 Games7-1-1
2.13Buts par match 4.56
4.00Buts contre par match 3.22
12.77%Pourcentage en avantage numérique15.38%
73.33%Pourcentage en désavantage numérique88.57%
IceHogs
5-3-1, 11pts
Jour 18
Senators
1-6-1, 3pts
Stats Équipe
W2SéquenceL1
3-1-0Fiche domicile1-3-0
2-2-1Fiche visiteur0-3-1
5-3-110 derniers matchs1-6-1
3.44Buts par match 2.13
3.44Buts contre par match 4.00
10.81%Pourcentage en avantage numérique12.77%
75.61%Pourcentage en désavantage numérique73.33%
Senators
1-6-1, 3pts
Jour 21
Thunder
4-2-2, 10pts
Stats Équipe
L1SéquenceSOL1
1-3-0Fiche domicile3-0-1
0-3-1Fiche visiteur1-2-1
1-6-110 derniers matchs4-2-2
2.13Buts par match 4.75
4.00Buts contre par match 3.88
12.77%Pourcentage en avantage numérique25.00%
73.33%Pourcentage en désavantage numérique67.86%
Griffins
4-4-0, 8pts
Jour 23
Senators
1-6-1, 3pts
Stats Équipe
L3SéquenceL1
3-1-0Fiche domicile1-3-0
1-3-0Fiche visiteur0-3-1
4-4-010 derniers matchs1-6-1
3.25Buts par match 2.13
2.75Buts contre par match 4.00
18.92%Pourcentage en avantage numérique12.77%
79.41%Pourcentage en désavantage numérique73.33%
Meneurs d'équipe
Declan CarlileButs
Declan Carlile
3
David SpacekPasses
David Spacek
4
Liam FoudyPoints
Liam Foudy
5
Cole GuttmanPlus/Moins
Cole Guttman
0
Colten EllisVictoires
Colten Ellis
1
Matthew VillaltaPourcentage d’arrêts
Matthew Villalta
0.897

Stats Équipe
Buts pour
17
2.13 GFG
Tirs pour
171
21.38 Avg
Pourcentage en avantage numérique
12.8%
6 GF
Début de zone offensive
39.0%
Buts contre
32
4.00 GAA
Tirs contre
221
27.63 Avg
Pourcentage en désavantage numérique
73.3%
8 GA
Début de la zone défensive
40.0%
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 Pro26
Équipe Mineure18
Limite contact 44 / 50
Espoirs22
Historique d'équipe
Saison actuelle1-6-1 (3PTS)
Historique171-128-30 (0.520%)
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
1Tanner LaczynskiX100.004552828269725066848150714082774519650291975,000$
2Braeden BowmanX100.0048518682667880654067626440707475176502321,500,000$
3Colin BlackwellX100.007740798044749154785355764090822586403322,900,000$
4Nikita NesterenkoX100.008351847867756358406353654074756517630251825,000$
5Alexander NylanderX100.005047867962746458405760657380775086202812,800,000$
6Trent FredericX100.009968747578739449924354614080775066202813,000,000$
7Zack OstapchukX100.009665757575728350874456714070717517620231925,000$
8Liam FoudyX100.005449857957695957404966704076736017610262775,000$
9Ville KoivunenX100.0043448578537670524051546740707375175902331,000,000$
10Lucas Mercuri (R)X100.007164518078766641703547704072747018580242750,000$
11Kasper Halttunen (R)X100.005947778270786846404349549964719017570203925,000$
12Elias PetterssonnX100.008650797658749152404855724068718020660222925,000$
13Declan CarlileX100.006858717562747248404453704076756018630261950,000$
14Nikita NovikovX100.006250747572686340403842704070697517610231925,000$
15Viliam Kmec (R)X100.005643828268696436403538704068698017600223750,000$
16Zayne Parekh (R)X100.004943868051786857405163614064719017600203925,000$
17David Spacek (A)X100.005146857756635852406045594070677517590231925,000$
Rayé
1Cole GuttmanX100.005045748247766657405559629078775519610271907,500$
2Jacob Gaucher (R)X100.006552777582786846403954614074766519580252700,000$
3Francesco PinelliX100.005757757556746447404648704070727519570231925,000$
4David Gucciardi (R)X100.006151698271565136403637634072647017580242750,000$
5Tyrel BauerX100.005570487577565129402632704072647020570242750,000$
6Bryce Montgomery (R)X100.007871437684555032403430594072647020570243750,000$
MOYENNE D’ÉQUIPE 100.00645375786571684949485166467372671761
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
1Colten Ellis100.008950608684847783828258768060157702631,700,000$
2Matthew Villalta100.00806063825050505050505078645520580273750,000$
Rayé
1Isak Posch (R)100.00705460935050505050504072617020570243750,000$
MOYENNE D’ÉQUIPE100.0080556187616159616161497568621864
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brock Sheahan49635265778286CAN423250,000$


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
1Liam FoudySenators (Ott)LW8235-4202151971610.53%211714.69112319000090057.14%700000.8500000100
2Declan CarlileSenators (Ott)D8325-1155214154720.00%1018022.58213937000017000.00%000000.5500001001
3Nikita NesterenkoSenators (Ott)C8235-1601215202910.00%113016.29123232000010045.45%5500000.7700000000
4Tanner LaczynskiSenators (Ott)C8224-47552092722.22%315819.820111380000220063.81%10500000.5000100000
5David SpacekSenators (Ott)D8044-360922000.00%513917.480001000009000.00%000000.5700000000
6Braeden BowmanSenators (Ott)LW8314-2204191732017.65%115419.291018390001111045.45%1100000.5200000101
7Alexander NylanderSenators (Ott)RW7033-22059175110.00%214220.36022630000020058.33%1200000.4200000000
8Colin BlackwellSenators (Ott)C7213-560232922589.09%214520.721126310000160058.86%15800000.4100000011
9Nikita NovikovSenators (Ott)D80330802574030.00%1117421.7800038000017000.00%000000.3400000010
10Trent FredericSenators (Ott)C7112-213512773514.29%010214.5700014000080067.24%5800000.3900010000
11Zack OstapchukSenators (Ott)C8022-2140142014270.00%010613.36011628000090069.47%9500000.3700000000
12Elias PetterssonnSenators (Ott)D4022-3551064160.00%109223.02022419000012000.00%000000.4300001000
13Viliam KmecSenators (Ott)D8022-1601962010.00%1514718.47000015000121000.00%000000.2700000010
14Cole GuttmanSenators (Ott)C11010002121050.00%099.5800000000000025.00%400002.0900000000
15Ville KoivunenSenators (Ott)RW8101-70001293611.11%612816.07000229000050031.58%1900000.1600000000
16David GucciardiSenators (Ott)D3000020000000.00%0186.170000000009000.00%000000.0000000000
17Kasper HalttunenSenators (Ott)LW8000-620263360.00%010212.79000319000010042.86%700000.0000000000
18Lucas MercuriSenators (Ott)C6000-220983240.00%17212.0200000000000060.87%4600000.0000000000
19Zayne ParekhSenators (Ott)D8000-820622060.00%1014818.61000117000010000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne131172946-639020180188171431229.94%79227117.34611175637200021841059.62%57700000.4000112233
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)61500.8164.1633220231250110.000063000
2Matthew VillaltaSenators (Ott)10100.8974.0060004390000.000010000
Statistiques d’équipe totales ou en moyenne71600.8354.1339220271640110.000073000


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 2040 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2041 204220432044204520462047Salaire annuel 9Salaire annuel 10Link
Alexander NylanderSenators (Ott)RW281998-03-02No197 Lbs6 ft1NoNoYes1Pro & Farm2,800,000$0$0$No
UFA
Lien / Lien NHL
Braeden BowmanSenators (Ott)LW232003-06-26No205 Lbs6 ft1NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
RFA
Lien / Lien NHL
Bryce MontgomerySenators (Ott)D242002-11-12Yes225 Lbs6 ft5NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
RFA
Lien / Lien NHL
Cole GuttmanSenators (Ott)C271999-04-06No180 Lbs5 ft10NoNoNo1Pro & Farm907,500$0$0$No
UFA
Lien / Lien NHL
Colin BlackwellSenators (Ott)C331993-03-28No181 Lbs5 ft8NoNoYes2Pro & Farm2,900,000$0$0$No2,900,000$
UFA
Lien / Lien NHL
Colten EllisSenators (Ott)G262000-10-05No185 Lbs6 ft1NoNoNo3Pro & Farm1,700,000$0$0$No1,700,000$1,700,000$
UFA
Lien / Lien NHL
David GucciardiSenators (Ott)D242002-10-09Yes211 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
David SpacekSenators (Ott)D232003-02-18No190 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Declan CarlileSenators (Ott)D262000-05-18No190 Lbs6 ft3NoNoNo1Pro & Farm950,000$0$0$No
RFA
Lien / Lien NHL
Elias PetterssonnSenators (Ott)D222004-02-16No185 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Francesco PinelliSenators (Ott)LW232003-04-11No190 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Isak PoschSenators (Ott)G242002-01-31Yes209 Lbs6 ft3NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
RFA
Lien / Lien NHL
Jacob GaucherSenators (Ott)LW252001-03-09Yes225 Lbs6 ft4NoNoNo2Pro & Farm700,000$0$0$No700,000$
RFA
Lien / Lien NHL
Kasper HalttunenSenators (Ott)LW202006-07-05Yes205 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Liam FoudySenators (Ott)LW262000-02-04No183 Lbs6 ft2NoNoNo2Pro & Farm775,000$0$0$No775,000$
UFA
Lien / Lien NHL
Lucas MercuriSenators (Ott)C242002-03-07Yes222 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Matthew VillaltaSenators (Ott)G271999-06-03No165 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
UFA
Lien / Lien NHL
Nikita NesterenkoSenators (Ott)C252001-09-10No203 Lbs6 ft2NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Nikita NovikovSenators (Ott)D232003-07-25No205 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Tanner LaczynskiSenators (Ott)C291997-06-01No211 Lbs6 ft1NoNoNo1Pro & Farm975,000$0$0$No
UFA
Lien / Lien NHL
Trent FredericSenators (Ott)C281998-02-11No221 Lbs6 ft3NoNoYes1Pro & Farm3,000,000$0$0$No
UFA
Lien / Lien NHL
Tyrel BauerSenators (Ott)D242002-03-23No216 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Viliam KmecSenators (Ott)D222004-01-02Yes206 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
RFA
Lien / Lien NHL
Ville KoivunenSenators (Ott)RW232003-06-13No184 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
RFA
Lien / Lien NHL
Zack OstapchukSenators (Ott)C232003-05-29No212 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Zayne ParekhSenators (Ott)D202006-02-15Yes179 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.69199 Lbs6 ft21.921,144,519$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Braeden BowmanTanner LaczynskiAlexander Nylander30113
2Nikita NesterenkoColin BlackwellVille Koivunen30113
3Liam FoudyTrent FredericLucas Mercuri25113
4Kasper HalttunenTrent FredericAlexander Nylander15113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Elias PetterssonnDeclan Carlile30113
2Nikita NovikovViliam Kmec30113
3Zayne ParekhDavid Spacek25122
4Elias PetterssonnNikita Novikov15122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Braeden BowmanTanner LaczynskiAlexander Nylander50104
2Nikita NesterenkoColin BlackwellVille Koivunen50104
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Elias PetterssonnLiam Foudy50014
2Declan CarlileZack Ostapchuk50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner LaczynskiBraeden Bowman50131
2Colin BlackwellLiam Foudy50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Elias PetterssonnDeclan Carlile50131
2Nikita NovikovViliam Kmec50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tanner Laczynski50140Elias PetterssonnDeclan Carlile50140
2Colin Blackwell50140Nikita NovikovViliam Kmec50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tanner LaczynskiBraeden Bowman50113
2Colin BlackwellLiam Foudy50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Elias PetterssonnDeclan Carlile50113
2Nikita NovikovViliam Kmec50113
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Braeden BowmanTanner LaczynskiAlexander NylanderElias PetterssonnDeclan Carlile
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Braeden BowmanTanner LaczynskiAlexander NylanderElias PetterssonnDeclan Carlile
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Nylander, Trent Frederic, Zack OstapchukAlexander Nylander, Trent FredericAlexander Nylander
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Viliam Kmec, Zayne Parekh, David SpacekViliam KmecViliam Kmec, Zayne Parekh
Tirs de pénalité
Braeden Bowman, Tanner Laczynski, Colin Blackwell, Nikita Nesterenko, Alexander Nylander
Gardien
#1 : Matthew Villalta, #2 : Colten Ellis


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
1EvilSharks1000010023-1000000000001000010023-110.50023500557027596250038121819700.00%3166.67%013924057.92%14124657.32%7912961.24%1991371805910251
2Magics1010000025-31010000025-30000000000000.00023500557023596250027412237114.29%5180.00%013924057.92%14124657.32%7912961.24%1991371805910251
3Nordiques1010000024-2000000000001010000024-200.000246005570255962500211142110220.00%10100.00%013924057.92%14124657.32%7912961.24%1991371805910251
4Oceanic2020000059-4000000000002020000059-400.00051015105570445962500712026611119.09%7185.71%013924057.92%14124657.32%7912961.24%1991371805910251
5Wolves31200000611-531200000611-50000000000020.333610160055705259625006433326012216.67%14564.29%013924057.92%14124657.32%7912961.24%1991371805910251
Total816001001732-1541300000816-840300100916-730.1881730471055701715962500221809218447612.77%30873.33%013924057.92%14124657.32%7912961.24%1991371805910251
_Since Last GM Reset816001001732-1541300000816-840300100916-730.1881730471055701715962500221809218447612.77%30873.33%013924057.92%14124657.32%7912961.24%1991371805910251
_Vs Conference715001001528-1341300000816-830200100712-530.2141526411055701465962500200698816337410.81%29872.41%013924057.92%14124657.32%7912961.24%1991371805910251
_Vs Division2020000047-3000000000002020000047-300.00047110055705259625005923224017211.76%4175.00%013924057.92%14124657.32%7912961.24%1991371805910251

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
83L1173047171221809218410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
81601001732
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4130000816
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4030100916
Derniers 10 matchs
WLOTWOTL SOWSOL
160100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
47612.77%30873.33%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
59625005570
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
13924057.92%14124657.32%7912961.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1991371805910251


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
216Wolves6Senators1BLSommaire du match
435Magics5Senators2BLSommaire du match
539Senators3Oceanic5ALSommaire du match
966Wolves3Senators2BLSommaire du match
1084Senators2Nordiques4ALSommaire du match
1294Senators2EvilSharks3ALXSommaire du match
14106Wolves2Senators3BWSommaire du match
16126Senators2Oceanic4ALSommaire du match
18137IceHogs-Senators-
21151Senators-Thunder-
23166Griffins-Senators-
24175Senators-BigBadStars-
26192Senators-EvilSharks-
27206Sagueneens-Senators-
29216Senators-Nordiques-
32233Senators-Spiders-
33245Magics-Senators-
36266Senators-National-
39273Senators-IceBears-
40284Checkers-Senators-
44305Pantheres-Senators-
47315Senators-IceHogs-
50328Senators-IceHawks-
52339Eagles-Senators-
55360Senators-Eagles-
56370HC-Senators-
60397IceHawks-Senators-
62413Senators-HC-
64425Darkness-Senators-
66444Senators-Spiders-
68457BaronsOKC-Senators-
71478Vikings-Senators-
73496Senators-Vikings-
75511Iceberg-Senators-
76525Senators-Cyclones-
77532Senators-Remparts-
79549Remparts-Senators-
80564Senators-Roadrunners-
82581Draveurs-Senators-
84597Senators-IceBears-
85610Mighty Ducks-Senators-
88624Senators-Mighty Ducks-
89638Senators-BigBadStars-
91649Sagueneens-Senators-
94667Senators-Bandits-
96677Darkness-Senators-
98692Senators-Nordiques-
100706HC-Senators-
101723Senators-Checkers-
103736Senators-Thunder-
104746EvilSharks-Senators-
105760Senators-National-
107774Nordiques-Senators-
111799Senators-Draveurs-
112804Roadrunners-Senators-
118831WolfPack-Senators-
120853Senators-Griffins-
121863Griffins-Senators-
123886Cyclones-Senators-
125901Senators-Sagueneens-
126917Senators-Pantheres-
127920Senators-BaronsOKC-
128931BigBadStars-Senators-
130950Senators-Oceanic-
131960Bandits-Senators-
136988IceHogs-Senators-
137999Senators-Magics-
1391008Senators-EvilSharks-
1401021Magics-Senators-
1431039Senators-Wolves-
1441052Thunder-Senators-
1491078Senators-WolfPack-
1511085SilverKnights-Senators-
1531105Senators-Iceberg-
1541116IceHawks-Senators-
1571139Senators-Darkness-
1581146Spiders-Senators-
1631177IceBears-Senators-
1651203Oceanic-Senators-
1701231Senators-Pantheres-
1711238WolfPack-Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1771265National-Senators-
1791275Senators-SilverKnights-
1821292Wolves-Senators-



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
2039823431026632452405411615022421311211041181600421114119-5932454166611590846313197265267162065226458572418963836817.75%2965282.43%11209234151.64%1247252049.48%631125150.44%2054144219065881028529
2040816001001732-1541300000816-840300100916-731730471055701715962500221809218447612.77%30873.33%013924057.92%14124657.32%7912961.24%1991371805910251
Total Saison régulière3301401280151616159699551416576550989849844256165647306877471513-42373969170926785242603392799878701963261526147438317227432627617144826918.58%137624282.41%85099949653.70%5009939853.30%2709498254.38%852860467420229940882121
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