Connexion


Centre de jeu
Senators
6-9-1, 13pts
1
FINAL
2 Wolves
12-3-1, 25pts
Team Stats
W1StreakL1
3-4-1Home Record7-1-0
3-5-0Away Record5-2-1
4-5-1Last 10 Games6-3-1
2.06Buts par match 3.31
2.81Buts contre par match 2.13
14.06%Pourcentage en avantage numérique16.90%
73.68%Pourcentage en désavantage numérique88.14%
Wolves
12-3-1, 25pts
1
FINAL
3 IceHawks
5-11-1, 11pts
Team Stats
L1StreakW1
7-1-0Home Record2-6-0
5-2-1Away Record3-5-1
6-3-1Last 10 Games3-6-1
3.31Buts par match 1.59
2.13Buts contre par match 3.12
16.90%Pourcentage en avantage numérique9.38%
88.14%Pourcentage en désavantage numérique77.78%
Wolves
12-3-1, 25pts
Jour 35
Senators
6-9-1, 13pts
Stats Équipe
L1SéquenceW1
7-1-0Fiche domicile3-4-1
5-2-1Fiche visiteur3-5-0
6-3-110 derniers matchs4-5-1
3.31Buts par match 2.06
2.13Buts contre par match 2.81
16.90%Pourcentage en avantage numérique14.06%
88.14%Pourcentage en désavantage numérique73.68%
Wolves
12-3-1, 25pts
Jour 37
Cyclones
8-7-1, 17pts
Stats Équipe
L1SéquenceL2
7-1-0Fiche domicile3-4-1
5-2-1Fiche visiteur5-3-0
6-3-110 derniers matchs4-5-1
3.31Buts par match 2.69
2.13Buts contre par match 2.88
16.90%Pourcentage en avantage numérique20.00%
88.14%Pourcentage en désavantage numérique84.21%
Nordiques
4-10-2, 10pts
Jour 39
Wolves
12-3-1, 25pts
Stats Équipe
W1SéquenceL1
3-5-0Fiche domicile7-1-0
1-5-2Fiche visiteur5-2-1
3-6-110 derniers matchs6-3-1
2.13Buts par match 3.31
3.44Buts contre par match 2.13
12.16%Pourcentage en avantage numérique16.90%
79.10%Pourcentage en désavantage numérique88.14%
Meneurs d'équipe
Anton LundellButs
Anton Lundell
9
Conor TimminsPasses
Conor Timmins
16
Anton LundellPoints
Anton Lundell
20
Anton LundellPlus/Moins
Anton Lundell
10
Samuel ErssonVictoires
Samuel Ersson
12
Samuel ErssonPourcentage d’arrêts
Samuel Ersson
0.907

Stats Équipe
Buts pour
53
3.31 GFG
Tirs pour
354
22.13 Avg
Pourcentage en avantage numérique
16.9%
12 GF
Début de zone offensive
41.2%
Buts contre
34
2.13 GAA
Tirs contre
356
22.25 Avg
Pourcentage en désavantage numérique
88.1%
7 GA
Début de la zone défensive
38.0%
Information d’équipe
Directeur généralJonathan Lee
EntraîneurDavid Quinn
DivisionNorth
ConférenceEastern
CapitaineAlex Newhook
Assistant #1Peyton Krebs
Assistant #2Anton Lundell
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro27
Équipe Mineure18
Limite contact 45 / 50
Espoirs81
Historique d'équipe
Saison actuelle12-3-1 (25PTS)
Historique897-408-130 (0.625%)
Apparitions séries éliminatoires 16
Historique séries éliminatoires (W-L)128-91
Stanley Cup2


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
1Alex Newhook (C)X100.005547838659838170826872644070777537680231925,000$
2Anton Lundell (A)X100.005847788258809663906364778270757537680231925,000$
3Simon HolmstromX100.0046548678737794594051668765707475376602311,210,000$
4Cody GlassX100.0058538077707771588154626099747665376302511,210,000$
5Alexander Laferriere (R)X100.007356797866779857405162604070747537630231575,000$
6Peyton Krebs (A)X100.007247737954769854815354674070737537620231925,000$
7Aku Raty (R)X100.005347828858645458406352694070677536610231575,000$
8Adam Edstrom (R)X100.009964867592695152404065594072717037600241575,000$
9Chaz LuciusX100.005146837956605056707040564066638537570212925,000$
10Sean Farrell (R)X100.004139869243605049405346604070657537560231575,000$
11Jacob Melanson (R)X100.006768628466716137403638604066698534540211575,000$
12Jake Wise (R)X100.004944828954625241404241534072677037530241575,000$
13Conor TimminsX100.0072527680687760624070557940767760376902611,210,000$
14Ville Ottavainen (R)X100.006958817879746947405044704068718037640221575,000$
15Maksymilian Szuber (R)X100.005438768269746943404542704068718037620221575,000$
16Jack ThompsonX100.006354857858666154406642504068678037590221650,000$
17William Wallinder (R)X100.005640878071696435403536564068698037580221575,000$
18William VilleneuveX100.004240747557585345405535634068638037560222925,000$
Rayé
1Judd Caulfield (R)X100.006249838174706042404243704070707520570231575,000$
2Ryan SuzukiX100.0063678575586050497046535140706575205502311,017,500$
3Pavel Novak (R)X100.005152819049605034402643594068648020510221575,000$
4Jamieson ReesX100.0055618175456050314033305640706575204802311,017,500$
5Domenick Fensore (R)X100.004652819340555043404936514070637520550231575,000$
6Jack Matier (R)X100.006350887875555030403030544066618520540211575,000$
MOYENNE D’ÉQUIPE 100.00595181816268644950504863457069763359
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
1Samuel Ersson (R)100.00879295907269687371678574726541740251650,000$
2Erik Portillo (R)100.00776873996661626360665072677041680241575,000$
Rayé
1Dylan Garand (R)100.00776872815050505050504068598020580222925,000$
MOYENNE D’ÉQUIPE100.0080768090636060626061587166723467
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn86686982867558USA5851,000,000$


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
1Anton LundellWolves (Van)C16911201040135757133515.79%636322.702359530111533068.54%26700001.1012000221
2Conor TimminsWolves (Van)D1631619108033252052015.00%1437223.253471760000047000.00%000001.0200000213
3Alex NewhookWolves (Van)C167815980395653224713.21%238123.850555591012551257.28%42600000.7902000220
4Alexander LaferriereWolves (Van)RW1676137100281550122614.00%229818.6421311550000280116.67%2400000.8701000121
5Simon HolmstromWolves (Van)RW166612440153743154513.95%332020.012245590000302128.89%4500000.7502000112
6Peyton KrebsWolves (Van)C167310-4100394432121821.88%227016.91000000000223051.88%23900000.7411000310
7Aku RatyWolves (Van)RW16369-440123724121612.50%124215.1600000000001057.14%700000.7400000013
8Jack ThompsonWolves (Van)D1607771602652320.00%632720.45022250000041000.00%000000.4300000001
9William VilleneuveWolves (Van)D16077-4601797140.00%925616.0000013000016000.00%000000.5500000002
10Ville OttavainenWolves (Van)D1616791203010941011.11%1736622.93145660000042000.00%000000.3800000000
11Jake WiseWolves (Van)LW16156-3205611489.09%224215.1600000000000055.56%900000.4900000001
12Jacob MelansonWolves (Van)LW1614582953461001010.00%225916.23022352000000033.33%1800000.3900001110
13Cody GlassWolves (Van)C163145201643175.00%0483.0000000000000070.73%4100001.6700000030
14Maksymilian SzuberWolves (Van)D16213800261114121214.29%1234221.382021152000052000.00%000000.1800000001
15Adam EdstromWolves (Van)C1621344012151740.00%0573.5800008000031050.00%1600001.0500000100
16Chaz LuciusWolves (Van)C16022120120000.00%0140.8801102000000050.00%400002.8500000000
17William WallinderWolves (Van)D16011-41603523070.00%1125616.020001600006000.00%000000.0800000000
18Sean FarrellWolves (Van)LW16000300816104150.00%029918.700002560000110047.83%2300000.0000000000
Statistiques d’équipe totales ou en moyenne288529114366137537434535412328314.69%89471716.3812243673582112341211456.57%111900000.6128001131415
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
1Samuel ErssonWolves (Van)1612310.9072.0497101333560000.7147160200
Statistiques d’équipe totales ou en moyenne1612310.9072.0497101333560000.7147160200


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 2038 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2039 204020412042204320442045Salaire annuel 9Salaire annuel 10Link
Adam EdstromWolves (Van)C242000-10-12Yes234 Lbs6 ft7NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Aku RatyWolves (Van)RW232001-07-05Yes190 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Alex NewhookWolves (Van)C232001-01-28No199 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Alexander LaferriereWolves (Van)RW232001-10-28Yes205 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Anton LundellWolves (Van)C232001-10-03No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Chaz LuciusWolves (Van)C212003-05-02No185 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Cody GlassWolves (Van)C251999-04-01No206 Lbs6 ft3NoNoNo1Pro & Farm1,210,000$0$0$No
RFA
Lien / Lien NHL
Conor TimminsWolves (Van)D261998-09-18No206 Lbs6 ft2NoNoNo1Pro & Farm1,210,000$0$0$No
RFA
Lien / Lien NHL
Domenick FensoreWolves (Van)D232001-09-07Yes151 Lbs5 ft7NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Dylan GarandWolves (Van)G222002-06-07Yes172 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Erik PortilloWolves (Van)G242000-09-03Yes224 Lbs6 ft6NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Jack MatierWolves (Van)D212003-04-08Yes207 Lbs6 ft5NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Jack ThompsonWolves (Van)D222002-03-19No189 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
RFA
Lien / Lien NHL
Jacob MelansonWolves (Van)LW212003-04-22Yes205 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Jake WiseWolves (Van)LW242000-02-28Yes190 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Jamieson ReesWolves (Van)LW232001-02-26No172 Lbs5 ft11NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Judd CaulfieldWolves (Van)RW232001-03-19Yes218 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Maksymilian SzuberWolves (Van)D222002-08-25Yes203 Lbs6 ft3NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Pavel NovakWolves (Van)RW222002-04-16Yes183 Lbs5 ft10NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Peyton KrebsWolves (Van)C232001-01-26No186 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Ryan SuzukiWolves (Van)C232001-05-28No190 Lbs6 ft1NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Samuel ErssonWolves (Van)G251999-10-20Yes176 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$No
RFA
Lien / Lien NHL
Sean FarrellWolves (Van)LW232001-11-02Yes175 Lbs5 ft9NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Simon HolmstromWolves (Van)RW232001-05-24No215 Lbs6 ft2NoNoNo1Pro & Farm1,210,000$0$0$No
RFA
Lien / Lien NHL
Ville OttavainenWolves (Van)D222002-08-12Yes216 Lbs6 ft5NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
William VilleneuveWolves (Van)D222002-03-20No183 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
William WallinderWolves (Van)D222002-07-28Yes204 Lbs6 ft4NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.89195 Lbs6 ft11.11761,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sean FarrellAlex NewhookSimon Holmstrom40122
2Jacob MelansonAnton LundellAlexander Laferriere30122
3Jake WisePeyton KrebsAku Raty20122
4Alex NewhookCody GlassAnton Lundell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsVille Ottavainen40122
2Maksymilian SzuberJack Thompson30122
3William WallinderWilliam Villeneuve20122
4Conor TimminsVille Ottavainen10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sean FarrellAlex NewhookSimon Holmstrom60122
2Jacob MelansonAnton LundellAlexander Laferriere40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsVille Ottavainen60122
2Maksymilian SzuberJack Thompson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex NewhookAnton Lundell60122
2Simon HolmstromAlexander Laferriere40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsVille Ottavainen60122
2Maksymilian SzuberJack Thompson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Newhook60122Conor TimminsVille Ottavainen60122
2Anton Lundell40122Maksymilian SzuberJack Thompson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex NewhookAnton Lundell60122
2Simon HolmstromAlexander Laferriere40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsVille Ottavainen60122
2Maksymilian SzuberJack Thompson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sean FarrellAlex NewhookSimon HolmstromConor TimminsVille Ottavainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sean FarrellAlex NewhookSimon HolmstromConor TimminsVille Ottavainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Edstrom, Chaz Lucius, Peyton KrebsAdam Edstrom, Chaz LuciusPeyton Krebs
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Wallinder, William Villeneuve, Maksymilian SzuberWilliam WallinderWilliam Villeneuve, Maksymilian Szuber
Tirs de pénalité
Alex Newhook, Anton Lundell, Simon Holmstrom, Alexander Laferriere, Peyton Krebs
Gardien
#1 : Samuel Ersson, #2 : Erik Portillo


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
1BigBadStars10001000211100010002110000000000021.0002460017181632011313610310834208112.50%20100.00%025945956.43%24042356.74%13423158.01%431306339108200106
2EvilSharks11000000404000000000001100000040421.000471101171816317113136103103258254250.00%40100.00%025945956.43%24042356.74%13423158.01%431306339108200106
3Griffins10000010431000000000001000001043121.000461000171816326113136103104598275120.00%30100.00%025945956.43%24042356.74%13423158.01%431306339108200106
4IceHawks32100000963110000005232110000044040.66791423001718163621131361031054945688225.00%15286.67%125945956.43%24042356.74%13423158.01%431306339108200106
5IceHogs21000001972110000006331000000134-130.750917260017181634911313610310561010409222.22%4175.00%025945956.43%24042356.74%13423158.01%431306339108200106
6National21100000440000000000002110000044020.50047110017181633611313610310431924391317.69%12283.33%025945956.43%24042356.74%13423158.01%431306339108200106
7Oceanic1010000024-21010000024-20000000000000.0002350017181632311313610310307423000.00%20100.00%025945956.43%24042356.74%13423158.01%431306339108200106
8Sagueneens11000000615110000006150000000000021.0006915001718163251131361031018610355120.00%50100.00%025945956.43%24042356.74%13423158.01%431306339108200106
9Senators22000000633220000006330000000000041.000611170017181634611313610310265145010220.00%7271.43%025945956.43%24042356.74%13423158.01%431306339108200106
10Thunder22000000752110000004311100000032141.00071320001718163501131361031044161047900.00%50100.00%025945956.43%24042356.74%13423158.01%431306339108200106
Total1610301011533419861010003117148420001122175250.78153911440117181633541131361031035689137374711216.90%59788.14%125945956.43%24042356.74%13423158.01%431306339108200106
_Since Last GM Reset1610301011533419861010003117148420001122175250.78153911440117181633541131361031035689137374711216.90%59788.14%125945956.43%24042356.74%13423158.01%431306339108200106
_Vs Conference1610301011533419861010003117148420001122175250.78153911440117181633541131361031035689137374711216.90%59788.14%125945956.43%24042356.74%13423158.01%431306339108200106
_Vs Division571000011811744000000148613100001431151.50018294700171816312011313610310119273613520420.00%17288.24%025945956.43%24042356.74%13423158.01%431306339108200106

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
1625L153911443543568913737401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1610310115334
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
86110003117
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
84200112217
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
711216.90%59788.14%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
113136103101718163
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
25945956.43%24042356.74%13423158.01%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
431306339108200106


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
210Wolves2National1AWSommaire du match
427Senators2Wolves4BWSommaire du match
646BigBadStars1Wolves2BWXSommaire du match
961Wolves4EvilSharks0AWSommaire du match
1177IceHogs3Wolves6BWSommaire du match
1391Wolves4Griffins3AWXXSommaire du match
15107Sagueneens1Wolves6BWSommaire du match
17124Wolves2National3ALSommaire du match
18135Thunder3Wolves4BWSommaire du match
20151Wolves3IceHawks1AWSommaire du match
23166IceHawks2Wolves5BWSommaire du match
25184Wolves3Thunder2AWSommaire du match
27202Oceanic4Wolves2BLSommaire du match
29216Wolves3IceHogs4ALXXSommaire du match
31229Senators1Wolves2BWSommaire du match
33243Wolves1IceHawks3ALSommaire du match
35256Wolves-Senators-
37266Wolves-Cyclones-
39279Nordiques-Wolves-
41293National-Wolves-
43311Wolves-Senators-
45322Wolves-Spiders-
47333Wolves-Thunder-
48341HC-Wolves-
51363Checkers-Wolves-
54385Thunder-Wolves-
55397Wolves-Pantheres-
57412Wolves-Sagueneens-
60426Wolves-SilverKnights-
61434Pantheres-Wolves-
64451Wolves-Griffins-
65465Senators-Wolves-
68488Griffins-Wolves-
70498Wolves-BigBadStars-
71515National-Wolves-
74533Wolves-Darkness-
76549Wolves-Magics-
77555Oceanic-Wolves-
80579Wolves-Oceanic-
81587BigBadStars-Wolves-
85613BigBadStars-Wolves-
87625Wolves-WolfPack-
89639Wolves-Roadrunners-
90650Magics-Wolves-
93668Wolves-EvilSharks-
94677Magics-Wolves-
97697Wolves-IceBears-
99707Wolves-Draveurs-
100715Sagueneens-Wolves-
103741Vikings-Wolves-
106757Wolves-Magics-
108771Wolves-National-
109777Mighty Ducks-Wolves-
111801Darkness-Wolves-
114818Wolves-Darkness-
115828Wolves-BaronsOKC-
117836Darkness-Wolves-
120861IceHawks-Wolves-
122873Wolves-IceHogs-
124890Wolves-Sagueneens-
125897Spiders-Wolves-
128912Wolves-IceBears-
130928Iceberg-Wolves-
131941Wolves-Eagles-
133957Spiders-Wolves-
136979Wolves-EvilSharks-
137988Remparts-Wolves-
1391004Wolves-Oceanic-
1411018Bandits-Wolves-
1461050IceHogs-Wolves-
1481061Wolves-BigBadStars-
1511081IceHogs-Wolves-
1551111Pantheres-Wolves-
1561116Wolves-Pantheres-
1601140Griffins-Wolves-
1621151Wolves-Spiders-
1661175EvilSharks-Wolves-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721196EvilSharks-Wolves-



Wolves 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
1Max Pacioretty1468354582936343151320312112306211.56%8712465116.797813621432110132395532255.96%70.761136
2Craig Smith42486147233746020093981310.58%33782118.451953721491231824752.87%10.601127
3Devin Shore24682111193546615162559713.74%42486719.792743701592351419656.58%40.79119
4Torrey Mitchell259781101883515438947666411.75%91427116.49162440611011511352.55%00.88417
5Brock McGinn23186951812818244847068912.48%43418718.13193554133022318237.85%60.8628

Wolves Leaders des statistiques des gardiens (saison régulière)
# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jake Allen1681164270.9101.719951193228431390920.87046
2Eddie Lack1429535120.9091.67864582424026380520.80693
3Thatcher Demko1618657170.8942.229678181935833700410.71871
4Stanislav Galimov109792450.9041.826612251520020920510.92176
5Jason Labarbera112673490.9072.90667821032334691497820.78938

Wolves 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
201981492004332325231944024110121115811345412590312116711849109325519844200931191063033091211109792491927143821232475421.86%2545677.95%10996212546.87%938202446.34%562123945.36%1799101615727501523758
202082372503197290243474112140307513713074125110012215311340812904727621308297992950098910109272552871115020472404619.17%2135176.06%31112206253.93%1038199052.16%669126452.93%1821102816107701577790
2021824518061752011356641274011621025646411814050139979201032013425431150697247168305465335771538432107320023624813.26%4283791.36%31260234153.82%1126227749.45%593112452.76%2101146518746011026525
20228132230721161761512541189040648865234014140325288862801762944702120516047167005345665341522464100719643814211.02%4085287.25%21227236351.93%1134230349.24%520107448.42%2118149318395851010520
202381362704554199169304118140222310182194018130233198871185199347546110068715118100606586594162247897018714396915.72%3895087.15%41346249353.99%1118222350.29%605117351.58%2150152217675701008531
202482512302150228137914129901020135726341221401130936528117228397625119079727018970632623630148943778818324247016.51%3183489.31%11420245057.96%1248214558.18%654112658.08%2273162916605691020547
20258252170606124913711241237050511287157412910010101216655129249438687013084866719740635701618165048783018394378118.54%3374486.94%21444251257.48%1251221156.58%680120156.62%2347170116185461002552
20268241180411532281577141228020721268541411910021811027230124228390618112071736517360537585582158345793818254249021.23%3584786.87%41313236255.59%1147220452.04%620116753.13%2283163017015781034553
202782501902281266174924128602050139825741221300231127923512326645271806084838920840643729689176047997220503897419.02%4144589.13%31339248353.93%1233230753.45%622119252.18%2252161017185651005536
2030824223031582351825341201001046130953541221302112105871810923541965408084766719300660617631175247294219933978120.40%4206784.05%11230243850.45%1137225950.33%603119550.46%2181153917925751021536
2031825020031622401568441239031411258342412711000211157342121240423663015085816517880595581589149843382018433756116.27%3564986.24%51187229051.83%1153215753.45%655117955.56%2179154717625821026541
203282343005364201172294119120331310288144115180205199841597201344545013060785218670586647613151243964417293825013.09%2573586.38%41455248858.48%1087202153.79%664119755.47%2278163916835701031551
20338236370125122721984119190011111911634117180114010810358722739562203087666817540570580590191257273317543886717.27%2974584.85%31271227955.77%1229221455.51%624118752.57%223716201724549996529
203482362803357262214484122901234147106414114190212311510879826244370516093778421910732698714200358375718513805313.95%3384486.98%41480252258.68%1325232556.99%741124759.42%221015951783557999524
203582343306333233244-1141201403130131123841141903203102121-199223341464718083707122650770706765216361071019093303310.00%2984584.90%41440261954.98%1270232054.74%686127453.85%2117151118565631000514
203680402403544252212404024110202113510233401613015231171107103252443695110098826519520635643648186550768415773466117.63%2584283.72%21294230356.19%1181209556.37%682119557.07%219015971687537984519
20378248200542327920475412210033211451054041261002102134993511727949377218118827211239582978476138191153872417193796316.62%3134186.90%31353256352.79%1193229751.94%685121656.33%220816071777551975509
203816103010115334198610100031171484200011221752553911440117181633541131361031035689137374711216.90%59788.14%125945956.43%24042356.74%13423158.01%431306339108200106
Total Saison régulière1405723408068381066241443171973703376177038166135217915915887023472310302245271965158038518004144711611260131621351371135111273533394211502117791072831179927515317323026391105516.51%571579186.16%59224264115254.50%200483779553.04%109992048153.70%37180260652977010137184479647
Séries éliminatoires
2019106400000353325320000017125532000001821-312355691100101310381011712013933510712025124312.50%21195.24%010525641.02%12725350.20%8116648.80%2201281969318490
202023158000006052813850000033294107300000272343060971570101120246920194208262628187180502651523.08%46784.78%131056355.06%23549947.09%16329854.70%487252450226491247
2021136700000272707340000015141633000001213-11227487513094122570976278316108234325751216.00%86989.53%119537052.70%19742346.57%7918642.47%33923332810217486
202213760000033303734000001920-16420000014104143355880105161127809196872756717032356814.29%741875.68%218337149.33%19239748.36%8519144.50%3202233029616481
202316880000038380844000001718-18440000021201163865103010151111398014612611532894189388931212.90%751678.67%029252655.51%23945152.99%12222953.28%405283379118202101
2024954000002016443100000106452300000101001020365600084718306039571714611522453713.21%42588.10%114027351.28%14626954.28%8113858.70%2671902227412968
2025221660000072413112930000040172310730000032248327212619803023262055901581881795011532425171102220.00%941287.23%041468260.70%37166156.13%17631955.17%656482471146273150
20261064000002317653200000139453200000108212234366000579183043676223658146218401025.00%63690.48%016128057.50%16833550.15%7213852.17%2631862407312865
20271610600000362978530000016115853000002018220366197030914123880122141100359115213441681116.18%101892.08%126751851.54%25150150.10%11623549.36%451317369117208109
203040400000715-82020000035-220200000410-60712190003131000381641133395612816212.50%23386.96%18613563.70%8115751.59%335362.26%1158387275028
2031106400000171615410000093652300000813-5121730470505742160678661161447321463914.29%32681.25%015328952.94%12923355.36%7312956.59%2671902087412565
2032231580000064586108200000302281376000003436-230641101740201322235390138162186593189234526991515.15%961881.25%040165860.94%40471656.42%18635252.84%656476530166298160
203440400000713-62020000037-42020000046-2071219000403650241724932528901100.00%120100.00%0438749.43%6011154.05%285848.28%926295285226
2035514000001423-92110000059-430300000914-521424380003471320454335164474611829413.79%22672.73%19115359.48%9718552.43%649071.11%155114114366334
203624168000008473111293000004638812750000038353328415323720031311954101831691626471842135061122825.00%911385.71%141971258.85%39875153.00%22040554.32%699508513161305164
203717116000004536998100000281612835000001720-32245791240116131603921341201326368116127312681116.18%53590.57%230649461.94%30549561.62%14124657.32%458327377123220112
Total Séries éliminatoires21912891000005825176511171400000030423668108575100000278281-325658210071589420161671961755304134164316721594530815792386508398216917.21%93113385.71%113566636756.01%3400643752.82%1720323353.20%585740624888166630721594

Wolves 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
1Max Pacioretty126253964191151711732739.16%74212416.863472311273148.12%00.6000
2Alex Newhook41182341061810510317.48%477718.9639121300015156.75%01.0600
3Craig Smith6515223713243016411313.27%12135720.8948122100054349.68%00.5500
4Devin Shore3714193330231258416.67%1085623.15312151500012260.63%10.7700
5Ryan O'Reilly33191332-52754809520.00%1377923.646281610116154.34%00.8200

Wolves 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
1Spencer Knight2416710.8892.84149820716400020.0000
2Vitaly Kolesnik2315620.9172.1914280152628280200.0000
3Thatcher Demko28151110.8982.43175622716970200.0000
4Eddie Lack26131110.9062.011582154535630210.0000
5Jake Allen1811700.8891.96116301383430000.0000