Connexion

Wolf Pack
GP: 11 | W: 5 | L: 6
GF: 27 | GA: 29 | PP%: 15.79% | PK%: 88.52%
DG: Sebastien Regnier | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Wolf Pack
5-6-0, 10pts
4
FINAL
2 Penguins
8-7-0, 16pts
Team Stats
L1StreakL1
3-3-0Home Record3-4-0
2-3-0Away Record5-3-0
4-3-3Last 10 Games5-3-2
2.45Buts par match 2.13
2.64Buts contre par match 2.13
15.79%Pourcentage en avantage numérique10.42%
88.52%Pourcentage en désavantage numérique86.27%
Penguins
8-7-0, 16pts
1
FINAL
0 Wolf Pack
5-6-0, 10pts
Team Stats
L1StreakL1
3-4-0Home Record3-3-0
5-3-0Away Record2-3-0
5-3-2Last 10 Games4-3-3
2.13Buts par match 2.45
2.13Buts contre par match 2.64
10.42%Pourcentage en avantage numérique15.79%
86.27%Pourcentage en désavantage numérique88.52%
Meneurs d'équipe
Buts
Jake Debrusk
4
Passes
Jake Debrusk
7
Points
Jake Debrusk
11
Plus/Moins
Zach Whitecloud
2
Victoires
Pheonix Copley
2
Pourcentage d’arrêts
Callum Booth
0.918

Statistiques d’équipe
Buts pour
27
2.45 GFG
Tirs pour
234
21.27 Avg
Pourcentage en avantage numérique
15.8%
12 GF
Début de zone offensive
41.3%
Buts contre
29
2.64 GAA
Tirs contre
214
19.45 Avg
Pourcentage en désavantage numérique
88.5%
7 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralSebastien Regnier
EntraîneurJeff Blashill
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure22
Limite contact 53 / 60
Espoirs13


Historique d'équipe

Saison actuelle5-6
Historique48-25-11 (0.571%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)5-6
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Arttu Ruotsalainen (R)0XX100.007342867365666267385680632545455950002331,425,000$
2Ty Dellandrea (R)0XX100.008345757571626669565862712546466150002031,400,833$
3Alexander True0X100.00816287677861686473655963605656675000232800,000$
4Kaapo Kakko0X100.006142928274678573366470582557586350002023,575,000$
5Egor Sharangovich0XXX100.007258978173748562566269702549496550002332,925,000$
6Rudolfs Balcers0XX100.00824494786665717126646563255555625000241925,000$
7Isac Lundestrom0X100.00624194806868766677656267255353645000211925,000$
8Logan Brown0X100.007665876285585667696955635146466450002311,573,333$
9Sam Lafferty0XXX100.00885283677255706164635974255556635000262925,000$
10Gabriel Vilardi0XX100.005942928076667871847273582551516550002121,627,000$
11Brendan Lemieux0XX100.009098558380608364366459677561626950002541,550,000$
12Jake Debrusk0XX100.006842938268718073376971584564676641002411,288,333$
13Connor Carrick0X100.007454857769705559255049782565656050002721,500,000$
14Adam Boqvist0X100.007142918064707181256249592554556047002021,744,167$
15William Borgen0X100.008259776177735852253843712545455550002421,175,000$
16Zach Whitecloud0X100.007544896276698058255048712552535850002421,000,000$
17Christian Djoos0X100.006041948067727078255649617561636350002621,000,000$
18Jacob Bryson0X100.007052866962717957255245722547475750002331,425,000$
Rayé
1Nolan Foote (R)0X100.00767480737458576250606065574444625000201894,167$
2Zayde Wisdom (R)0X100.00707168687167696278596162584444635000181925,000$
3Hayden Verbeek0XX100.00736592546550494860464560444444565000232776,666$
4Curtis Douglas (R)0X100.00889377639358595468564769454444645000211925,000$
5Matej Pekar (R)0XX100.00626947656959625063494555434444555000213913,333$
6Vitaly Abramov (R)0XX100.00706385686569626450626362584444625000231880,000$
7Joachim Blichfeld0XX100.00726979666967626550596764664444635000222790,000$
8Aleksi Heponiemi0XX100.006148916157635754445553632544445550002221,775,000$
9Rem Pitlick0XX100.00735785657063636464595958754444635000242925,000$
10Kody Clark0X100.00736984607156535450475661624444595000212894,167$
11Logan Stanley0X100.007866686287656653254245632547475650002311,075,833$
MOYENNE D’ÉQUIPE100.0073588370726567634858586441505061500
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
1Pheonix Copley100.0055587282525857625858304646565000291650,000$
2Callum Booth (R)100.0065435477706372747171304444605000242950,000$
Rayé
MOYENNE D’ÉQUIPE100.006051638061616568656530454558500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill81798184686380USA493800,000$


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
1Jake DebruskWolf Pack (NYR)LW/RW114711-2205252762314.81%119517.822571157000080154.55%1100001.1200000200
2Egor SharangovichWolf Pack (NYR)C/LW/RW11279-2401314264157.69%224021.880558510001520045.83%2400000.7500000101
3Kaapo KakkoWolf Pack (NYR)RW11437-2605152641415.38%019617.833141563000000040.00%1000000.7100000010
4Gabriel VilardiWolf Pack (NYR)C/RW11347-1409202361413.04%120418.55134863000002062.86%24500000.6900000011
5Connor CarrickWolf Pack (NYR)D112461180169114318.18%925022.80213954000045200.00%000000.4800000000
6Christian DjoosWolf Pack (NYR)D11156-88071283412.50%1125122.89145661000021000.00%000000.4800000000
7Arttu RuotsalainenWolf Pack (NYR)C/LW11145-2120159258134.00%021119.191121053000129008.33%1200000.4700000100
8Adam BoqvistWolf Pack (NYR)D11055-710013107580.00%624422.25033561000011000.00%000000.4100000000
9Rudolfs BalcersWolf Pack (NYR)LW/RW11314-200013153820.00%014012.8000003000000140.00%500000.5700000010
10Logan BrownWolf Pack (NYR)C11404-41551116142828.57%118516.83101453000010054.55%18700000.4300010001
11Isac LundestromWolf Pack (NYR)C11123-20002070614.29%213712.4800000000000049.11%11200000.4400000000
12Jacob BrysonWolf Pack (NYR)D11033-120564020.00%1021019.1200006000050000.00%000000.2900000001
13Zach WhitecloudWolf Pack (NYR)D1111228014721850.00%424622.43101156000038100.00%000000.1600000001
14Ty DellandreaWolf Pack (NYR)C/RW110110205128130.00%11029.36000000000340054.17%2400000.1900000000
15Sam LaffertyWolf Pack (NYR)C/LW/RW1110102061455520.00%112511.41000010000520062.11%9500000.1600000010
16Brendan LemieuxWolf Pack (NYR)LW/RW11011-2321021915270.00%016715.24000040000240044.44%900000.1200001000
17Alexander TrueWolf Pack (NYR)C11000-100458340.00%1928.37000114000030047.83%6900000.0000000000
18William BorgenWolf Pack (NYR)D11000-11602233010.00%720118.3000014000043000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne198274875-34141151712192345714611.54%57340517.201223357961100024185255.29%80300000.4400011445
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
1Pheonix CopleyWolf Pack (NYR)72230.8292.7843200201170000.000073000
2Callum BoothWolf Pack (NYR)42100.9181.76205006730000.000037000
Statistiques d’équipe totales ou en moyenne114330.8632.4563800261900000.00001010000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam BoqvistWolf Pack (NYR)D202000-08-14No179 Lbs5 ft11NoNoNo2Pro & Farm1,744,167$1,744,167$0$0$No1,744,167$Lien
Aleksi HeponiemiWolf Pack (NYR)LW/RW221999-01-08No155 Lbs5 ft10NoNoNo2Pro & Farm1,775,000$1,775,000$0$0$No1,775,000$Lien
Alexander TrueWolf Pack (NYR)C231997-07-16No200 Lbs6 ft5NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Arttu RuotsalainenWolf Pack (NYR)C/LW231997-10-28Yes185 Lbs5 ft9NoNoNo3Pro & Farm1,425,000$925,000$0$0$No925,000$925,000$Lien
Brendan LemieuxWolf Pack (NYR)LW/RW251996-03-15No213 Lbs6 ft1NoNoNo4Pro & Farm1,550,000$1,550,000$0$0$No1,550,000$1,550,000$1,550,000$Lien
Callum BoothWolf Pack (NYR)G241997-05-20Yes184 Lbs6 ft4NoNoNo2Pro & Farm950,000$700,000$0$0$No700,000$Lien
Christian DjoosWolf Pack (NYR)D261994-08-05No180 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien
Connor CarrickWolf Pack (NYR)D271994-04-13No192 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$1,500,000$0$0$No1,500,000$Lien
Curtis DouglasWolf Pack (NYR)C212000-03-06Yes249 Lbs6 ft8NoNoNo1Pro & Farm925,000$450,000$0$0$No
Egor SharangovichWolf Pack (NYR)C/LW/RW231998-06-06No196 Lbs6 ft2NoNoNo3Pro & Farm2,925,000$925,000$0$0$No925,000$925,000$Lien
Gabriel VilardiWolf Pack (NYR)C/RW211999-08-16No201 Lbs6 ft3NoNoNo2Pro & Farm1,627,000$1,627,000$0$0$No1,627,000$Lien
Hayden VerbeekWolf Pack (NYR)C/LW231997-10-17No184 Lbs5 ft10NoNoNo2Pro & Farm776,666$776,666$0$0$No776,666$Lien
Isac LundestromWolf Pack (NYR)C211999-11-06No187 Lbs6 ft0NoNoNo1Pro & Farm925,000$450,000$0$0$NoLien
Jacob BrysonWolf Pack (NYR)D231997-11-18No175 Lbs5 ft9NoNoNo3Pro & Farm1,425,000$925,000$0$0$No925,000$925,000$Lien
Jake DebruskWolf Pack (NYR)LW/RW241996-10-17No188 Lbs6 ft0NoNoNo1Pro & Farm1,288,333$1,288,333$0$0$NoLien
Joachim BlichfeldWolf Pack (NYR)LW/RW221998-07-17No180 Lbs6 ft2NoNoNo2Pro & Farm790,000$790,000$0$0$No790,000$Lien
Kaapo KakkoWolf Pack (NYR)RW202001-02-13No199 Lbs6 ft3NoNoNo2Pro & Farm3,575,000$3,575,000$0$0$No3,575,000$Lien
Kody ClarkWolf Pack (NYR)RW211999-10-13No185 Lbs6 ft3NoNoNo2Pro & Farm894,167$894,167$0$0$No894,167$Lien
Logan BrownWolf Pack (NYR)C231998-03-04No220 Lbs6 ft6NoNoNo1Pro & Farm1,573,333$1,573,333$0$0$NoLien
Logan StanleyWolf Pack (NYR)D231998-05-25No228 Lbs6 ft7NoNoNo1Pro & Farm1,075,833$1,075,833$0$0$NoLien
Matej PekarWolf Pack (NYR)C/LW212000-02-10Yes185 Lbs6 ft1NoNoNo3Pro & Farm913,333$764,167$0$0$No913,333$913,333$
Nolan FooteWolf Pack (NYR)LW202000-11-29Yes196 Lbs6 ft3NoNoNo1Pro & Farm894,167$894,167$0$0$No
Pheonix CopleyWolf Pack (NYR)G291992-01-18No198 Lbs6 ft4NoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Rem PitlickWolf Pack (NYR)C/LW241997-04-02No196 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Rudolfs BalcersWolf Pack (NYR)LW/RW241997-04-08No180 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Sam LaffertyWolf Pack (NYR)C/LW/RW261995-03-06No195 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Ty DellandreaWolf Pack (NYR)C/RW202000-07-20Yes190 Lbs6 ft1NoNoNo3Pro & Farm1,400,833$863,333$0$0$No1,400,833$1,400,833$Lien
Vitaly AbramovWolf Pack (NYR)LW/RW231998-05-08Yes181 Lbs5 ft10NoNoNo1Pro & Farm880,000$880,000$0$0$NoLien
William BorgenWolf Pack (NYR)D241996-12-19No205 Lbs6 ft3NoNoNo2Pro & Farm1,175,000$925,000$0$0$No925,000$Lien
Zach WhitecloudWolf Pack (NYR)D241996-11-28No209 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$750,000$0$0$No750,000$Lien
Zayde WisdomWolf Pack (NYR)C182002-07-07Yes201 Lbs5 ft10NoNoNo1Pro & Farm925,000$825,833$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.84194 Lbs6 ft11.901,263,156$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor SharangovichGabriel VilardiKaapo Kakko35122
2Arttu RuotsalainenLogan BrownJake Debrusk30122
3Rudolfs BalcersIsac LundestromBrendan Lemieux25122
4Sam LaffertyAlexander TrueTy Dellandrea10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian DjoosAdam Boqvist35122
2Connor CarrickZach Whitecloud30122
3Jacob BrysonWilliam Borgen25122
4Christian DjoosAdam Boqvist10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake DebruskGabriel VilardiKaapo Kakko60122
2Egor SharangovichLogan BrownArttu Ruotsalainen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian DjoosAdam Boqvist60122
2Connor CarrickZach Whitecloud40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam LaffertyEgor Sharangovich60122
2Ty DellandreaBrendan Lemieux40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CarrickJacob Bryson60122
2William BorgenZach Whitecloud40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ty Dellandrea60122Connor CarrickJacob Bryson60122
2Sam Lafferty40122William BorgenZach Whitecloud40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gabriel VilardiEgor Sharangovich60122
2Sam LaffertyBrendan Lemieux40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian DjoosAdam Boqvist60122
2Connor CarrickZach Whitecloud40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake DebruskGabriel VilardiKaapo KakkoChristian DjoosAdam Boqvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake DebruskSam LaffertyKaapo KakkoChristian DjoosAdam Boqvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander True, Logan Brown, Arttu RuotsalainenAlexander True, Logan BrownArttu Ruotsalainen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Bryson, William Borgen, Connor CarrickJacob BrysonWilliam Borgen, Connor Carrick
Tirs de pénalité
Jake Debrusk, Gabriel Vilardi, Kaapo Kakko, Brendan Lemieux, Rudolfs Balcers
Gardien
#1 : Pheonix Copley, #2 : Callum Booth


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
1Penguins51400000810-23030000025-32110000065120.20081422008125299667975147623807730310.00%34294.12%019733259.34%16630754.07%8116449.39%3032132578514575
2Senators642000001919033000000107331200000912-380.66719345300812521356679751413834619446919.57%27581.48%019733259.34%16630754.07%8116449.39%3032132578514575
Total1156000002729-26330000012120523000001517-2100.45527487500812522346679751421457141171761215.79%61788.52%019733259.34%16630754.07%8116449.39%3032132578514575
_Since Last GM Reset1156000002729-26330000012120523000001517-2100.45527487500812522346679751421457141171761215.79%61788.52%019733259.34%16630754.07%8116449.39%3032132578514575
_Vs Conference1156000002729-26330000012120523000001517-2100.45527487500812522346679751421457141171761215.79%61788.52%019733259.34%16630754.07%8116449.39%3032132578514575
_Vs Division51400000810-23030000025-32110000065120.20081422008125299667975147623807730310.00%34294.12%019733259.34%16630754.07%8116449.39%3032132578514575

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1110L12748752342145714117100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
115600002729
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300001212
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001517
Derniers 10 matchs
WLOTWOTL SOWSOL
430300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
761215.79%61788.52%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
6679751481252
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
19733259.34%16630754.07%8116449.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3032132578514575


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2022-03-162Senators3Wolf Pack4BWXSommaire du match
2 - 2022-03-1710Senators3Wolf Pack4BWXSommaire du match
3 - 2022-03-1818Wolf Pack1Senators5ALSommaire du match
4 - 2022-03-1926Wolf Pack4Senators5ALXSommaire du match
5 - 2022-03-2034Senators1Wolf Pack2BWSommaire du match
6 - 2022-03-2142Wolf Pack4Senators2AWSommaire du match
8 - 2022-03-2358Penguins2Wolf Pack1BLSommaire du match
9 - 2022-03-2462Penguins2Wolf Pack1BLXSommaire du match
10 - 2022-03-2566Wolf Pack2Penguins3ALXSommaire du match
11 - 2022-03-2670Wolf Pack4Penguins2AWSommaire du match
12 - 2022-03-2774Penguins1Wolf Pack0BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-6 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,915,783$ 3,367,200$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Wolf Pack 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
1Kaapo Kakko822630563225010517414.94%5143217.48716234600003439.60%00.78411
2Gabriel Vilardi79153449-1233414613810.87%6142818.08714213200011060.86%00.69416
3Adam Boqvist82939480111120658111.11%37175821.4481927640000000.00%00.5500
4Egor Sharangovich762421455637810716714.37%16154220.29610164912372449.52%00.5826
5Christian Djoos82103545-43655629210.87%56180121.9781018690000310.00%00.5023

Wolf Pack 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
1Pheonix Copley47261340.8812.452525231038620000.71428
2Callum Booth3318830.8742.49181104755940200.65529
3Connor Ingram104320.8762.3858000231850100.6258

Wolf Pack 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
2021823325042117215216-141171003263108971141161501054107119-12105215366581076078622617545206355531091665462112514764777114.88%4596486.06%41327243554.50%1127219351.39%640120553.11%2115147819005941004519
Total Saison régulière823325042117215216-141171003263108971141161501054107119-12105215366581076078622617545206355531091665462112514764777114.88%4596486.06%41327243554.50%1127219351.39%640120553.11%2115147819005941004519
20211156000002729-26330000012120523000001517-21027487500812522346679751421457141171761215.79%61788.52%019733259.34%16630754.07%8116449.39%3032132578514575
Total Séries éliminatoires1156000002729-26330000012120523000001517-21027487500812522346679751421457141171761215.79%61788.52%019733259.34%16630754.07%8116449.39%3032132578514575

Wolf Pack 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
1Jake Debrusk114711-225252714.81%119517.822571100000154.55%01.1200
2Egor Sharangovich11279-241314267.69%224021.88055800010045.83%00.7500
3Gabriel Vilardi11347-149202313.04%120418.55134800002062.86%00.6900
4Kaapo Kakko11437-265152615.38%019617.833141500000040.00%00.7100
5Christian Djoos11156-88712812.50%1125122.8914560000000.00%00.4800

Wolf Pack 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
1Callum Booth42100.9181.76205006730000.0000
2Pheonix Copley72230.8292.7843200201170000.0000