Wolves
GP: 5 | W: 1 | L: 4
GF: 15 | GA: 23 | PP%: 13.33% | PK%: 68.42%
DG: | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Wolves
1-4-0, 2pts
2
FINAL
8 Americans
8-2-0, 16pts
Team Stats
L2StreakW3
1-2-0Home Record4-0-0
0-2-0Away Record4-2-0
1-2-2Last 10 Games8-1-1
3.00Buts par match 5.10
4.60Buts contre par match 3.40
13.33%Pourcentage en avantage numérique26.53%
68.42%Pourcentage en désavantage numérique80.77%
Americans
8-2-0, 16pts
3
FINAL
2 Wolves
1-4-0, 2pts
Team Stats
W3StreakL2
4-0-0Home Record1-2-0
4-2-0Away Record0-2-0
8-1-1Last 10 Games1-2-2
5.10Buts par match 3.00
3.40Buts contre par match 4.60
26.53%Pourcentage en avantage numérique13.33%
80.77%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Jiri PateraVictoires
Jiri Patera
1
Jiri PateraPourcentage d’arrêts
Jiri Patera
0.89

Statistiques d’équipe
Buts pour
15
3.00 GFG
Tirs pour
212
42.40 Avg
Pourcentage en avantage numérique
13.3%
2 GF
Début de zone offensive
41.4%
Buts contre
23
4.60 GAA
Tirs contre
200
40.00 Avg
Pourcentage en désavantage numérique
68.4%
6 GA
Début de la zone défensive
40.0%
Information d’équipe

Directeur général
EntraîneurTrent Vogelhuber
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro38
Équipe Mineure20
Limite contact 58 / 80
Espoirs54


Historique d'équipe

Saison actuelle1-4
Historique97-54-15 (0.584%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)2-8
Stanley Cup0


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 moyen
1Julien Gauthier0X100.00824091679180706862656663676970075670273999,999$
2Ryan Carpenter0XX100.00683894667780866473656367627479075660341900,000$
3Phillip Di Giuseppe0XX100.00754083677385776358626069647472075650311990,000$
4Matej Blumel (R)0XX100.00663786687572886664626763686567075650251950,000$
5Adam Beckman (R)0XX100.00673883657787826458636062616566075640243750,000$
6Matt Rempe0X100.00878653669973826359616162586465075640231999,999$
7Jakub Lauko (R)0X100.00825678677674826362616066636567075640251925,000$
8Brandon Biro (R)0X100.00553688636678826267636162636769075620272999,999$
9Milos Kelemen0XX100.00734369648279736162635559606668075620261888,100$
10Tyson Kozak0X100.00653982636976776266596061586365075620221999,999$
11Ryan Winterton (R)0X100.00673888627580856166596058616364075620222950,000$
12Ty Glover0XX100.00744084588371735760555659576567075610251999,999$
13Henry Thrun (R)0X100.00714286698288846630686067526466075660242950,000$
14Nick DeSimone0X100.00693895657982746430676061527173075650303999,999$
15Jack St. Ivany0X100.00764181638782836130625870496668075640261999,999$
16Ian Mitchell (R)0X100.00633786667384826430675862506668075640262999,999$
17Sebastian D. Aho0X100.00653593676682756530685564516971075640293999,999$
18Kyle Capobianco0X100.00724173648377856230645761496870075630283999,999$
Rayé
1Riley Sutter (R)0X100.00794277588869835657545559536668075610251999,999$
2Jonathan Gruden (R)0X100.00714072587274825965575856556567075600251800,000$
3Dino Kambeitz0XX100.00744179578370805653525859566567075600253750,000$
4Jayden Grubbe (R)0X100.00754176548475835261555357546264075590222950,000$
5Riley Kidney (R)0X100.00613880586971835763565453556264075590222950,000$
6Daniel Torgersson (R)0XX100.00744090548367715355525156546365075580231950,000$
7Coulson Pitre (R)0X100.00653890557471725458565357546163075580203950,000$
8Navrin Mutter0X100.00726150558169715357545256536466075570241999,999$
9Jaydon Dureau (R)0X100.00583690566772625457535251566466075570243950,000$
10Reece Vitelli (R)0X100.00563973556866635361565253546466075570243950,000$
11Jake Chiasson (R)0X100.00644091537370625255515054536264075560223950,000$
12Trevor Janicke (R)0X100.00563695546963615358525051556567075560243950,000$
13Brandon Scanlin0X100.00774083589175845630535559476668075610261750,000$
14Roman Schmidt (R)0X100.00844562559363685430565261466264075590223950,000$
15Chad Nychuk0X100.00664076557665665430535256456466075580241999,999$
16Trey Taylor0X100.00693795557876605430535052456365075580233999,999$
17Andrew Perrott0X100.00654655547464665230555356456466075570243750,000$
MOYENNE D’ÉQUIPE100.0070428160787576595159565955656707561
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 moyen
1Ales Stezka100.0075817684747375747375746881075660282999,999$
2Jiri Patera (R)100.0074787486737274737274736675075650263750,000$
Rayé
1Pavel Cajan100.0067767276666567666567666369075610221999,999$
MOYENNE D’ÉQUIPE100.007278748271707271707271667507564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Trent Vogelhuber68656966555290USA363950,000$


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
1Henry ThrunWolves (CAR)D5178075171111499.09%1014629.35011415000016100.00%000001.0900001100
2Milos KelemenWolves (CAR)LW/RW54371401511111936.36%215731.49011110000000036.36%1100000.8900000000
3Matej BlumelWolves (CAR)LW/RW5325-10009234813.04%19819.70112411000000071.43%700011.0200000100
4Julien GauthierWolves (CAR)RW54150401393152012.90%213527.08000614000020128.57%700010.7400000011
5Jack St. IvanyWolves (CAR)D5044-1120137172100.00%1212825.70000711000011000.00%000000.6200000000
6Ryan CarpenterWolves (CAR)C/RW5134100114221114.55%211122.220006150000190054.59%19600000.7200000001
7Ian MitchellWolves (CAR)D5033-1401066170.00%512725.4600011100009000.00%000000.4700000000
8Nick DeSimoneWolves (CAR)D5123-1207992911.11%413326.6811261400000000.00%000000.4500000000
9Matt RempeWolves (CAR)C5022-100171219460.00%19719.52000311000000045.86%13300000.4100000000
10Jakub LaukoWolves (CAR)C5101-42020232611153.85%014028.2000000000020040.68%5900000.1400000000
11Tyson KozakWolves (CAR)C5011-100028110.00%0397.8400000000160075.00%800000.5100000000
12Kyle CapobiancoWolves (CAR)D5011-2602048240.00%1110220.530000000017000.00%000000.1900000000
13Brandon BiroWolves (CAR)LW5000-30018161110.00%211122.3700000000000033.33%600000.0000000000
14Ryan WintertonWolves (CAR)C5000000001100.00%020.480000000000000.00%000000.0000000000
15Sebastian D. AhoWolves (CAR)D5000-320944170.00%710921.9000000000113000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne75152944-16435143129212411277.08%59164221.90246381180003901149.41%42700020.5400001212
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
1Jiri PateraWolves (CAR)51220.8903.4934400201820000.000050000
2Ales StezkaWolves (CAR)10000.8336.6727003180000.000005000
Statistiques d’équipe totales ou en moyenne61220.8853.7137200232000000.000055000


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 BeckmanWolves (CAR)C/LW242001-05-10Yes182 Lbs6 ft2NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Lien / Lien NHL
Ales StezkaWolves (CAR)G281997-01-06No190 Lbs6 ft4NoNoNo2Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$Lien / Lien NHL
Andrew PerrottWolves (CAR)D242001-08-24No217 Lbs5 ft10NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Lien / Lien NHL
Brandon BiroWolves (CAR)LW271998-03-11Yes170 Lbs5 ft11NoNoNo2Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$Lien / Lien NHL
Brandon ScanlinWolves (CAR)D261999-06-02No218 Lbs6 ft4NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Chad NychukWolves (CAR)D242001-03-06No194 Lbs6 ft1NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLien / Lien NHL
Coulson PitreWolves (CAR)RW202004-12-13Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Daniel TorgerssonWolves (CAR)LW/RW232002-01-26Yes199 Lbs6 ft3NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Dino KambeitzWolves (CAR)C/RW252000-01-25No212 Lbs6 ft2NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Lien / Lien NHL
Henry ThrunWolves (CAR)D242001-03-12Yes210 Lbs6 ft2NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Ian MitchellWolves (CAR)D261999-01-18Yes192 Lbs6 ft0NoNoNo2Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$Lien / Lien NHL
Jack St. IvanyWolves (CAR)D261999-07-22No205 Lbs6 ft4NoNoYes1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLien / Lien NHL
Jake ChiassonWolves (CAR)RW222003-05-25Yes165 Lbs6 ft2NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Jakub LaukoWolves (CAR)C252000-03-28Yes193 Lbs6 ft1NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Jayden GrubbeWolves (CAR)C222003-01-12Yes201 Lbs6 ft3NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Jaydon DureauWolves (CAR)LW242001-01-20Yes173 Lbs5 ft11NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Jiri PateraWolves (CAR)G261999-02-24Yes212 Lbs6 ft3NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Lien / Lien NHL
Jonathan GrudenWolves (CAR)LW252000-05-04Yes172 Lbs6 ft0NoNoNo1Pro & Farm800,000$266,667$800,000$266,667$0$0$NoLien / Lien NHL
Julien GauthierWolves (CAR)RW271997-10-15No225 Lbs6 ft4NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Lien / Lien NHL
Kyle CapobiancoWolves (CAR)D281997-08-13No198 Lbs6 ft3NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Lien / Lien NHL
Matej BlumelWolves (CAR)LW/RW252000-05-31Yes205 Lbs6 ft0NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Matt RempeWolves (CAR)C232002-06-29No255 Lbs6 ft9NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLien / Lien NHL
Milos KelemenWolves (CAR)LW/RW261999-07-06No210 Lbs6 ft2NoNoNo1Pro & Farm888,100$296,033$888,100$296,033$0$0$NoLien / Lien NHL
Navrin MutterWolves (CAR)LW242001-03-15No190 Lbs6 ft3NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLien / Lien NHL
Nick DeSimoneWolves (CAR)D301994-11-21No194 Lbs6 ft2NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Lien / Lien NHL
Pavel CajanWolves (CAR)G222002-10-13No176 Lbs6 ft2NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLien / Lien NHL
Phillip Di GiuseppeWolves (CAR)LW/RW311993-10-09No193 Lbs6 ft0NoNoNo1Pro & Farm990,000$330,000$990,000$330,000$0$0$NoLien / Lien NHL
Reece VitelliWolves (CAR)C242001-07-05Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Riley KidneyWolves (CAR)C222003-03-25Yes181 Lbs5 ft11NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Riley SutterWolves (CAR)C251999-10-25Yes210 Lbs6 ft4NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLien / Lien NHL
Roman SchmidtWolves (CAR)D222003-02-27Yes216 Lbs6 ft5NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Ryan CarpenterWolves (CAR)C/RW341991-01-18No198 Lbs6 ft1NoNoNo1Pro & Farm900,000$300,000$900,000$300,000$0$0$NoLien / Lien NHL
Ryan WintertonWolves (CAR)C222003-09-04Yes175 Lbs6 ft2NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Sebastian D. AhoWolves (CAR)D291996-02-17No180 Lbs5 ft10NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Lien / Lien NHL
Trevor JanickeWolves (CAR)C242000-12-25Yes193 Lbs5 ft10NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Trey TaylorWolves (CAR)D232002-02-04No190 Lbs6 ft2NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Lien / Lien NHL
Ty GloverWolves (CAR)C/LW252000-10-01No200 Lbs6 ft3NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLien / Lien NHL
Tyson KozakWolves (CAR)C222002-12-29No185 Lbs5 ft11NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3824.97196 Lbs6 ft21.97938,239$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan CarpenterJulien Gauthier34023
2Matej BlumelMatt RempeMilos Kelemen32023
3Brandon BiroJakub Lauko26023
4Jakub LaukoJulien Gauthier8131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunNick DeSimone34023
2Jack St. IvanyIan Mitchell32023
3Sebastian D. AhoKyle Capobianco28023
4Henry ThrunNick DeSimone6023
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan CarpenterJulien Gauthier60005
2Matej BlumelMatt RempeMilos Kelemen40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunNick DeSimone60005
2Jack St. IvanyIan Mitchell40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Carpenter60050
2Jakub LaukoJulien Gauthier40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunJack St. Ivany60050
2Sebastian D. AhoIan Mitchell40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Carpenter60050Henry ThrunJack St. Ivany60050
240050Sebastian D. AhoIan Mitchell40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Julien GauthierRyan Carpenter60023
2Matej Blumel40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunNick DeSimone60023
2Jack St. IvanyIan Mitchell40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan CarpenterJulien GauthierHenry ThrunNick DeSimone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub LaukoRyan CarpenterHenry ThrunJack St. Ivany
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyson Kozak, Ryan Winterton, Tyson Kozak, Ryan Winterton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sebastian D. Aho, Kyle Capobianco, Jack St. IvanySebastian D. AhoKyle Capobianco, Jack St. Ivany
Tirs de pénalité
Julien Gauthier, Ryan Carpenter, , Matej Blumel, Matt Rempe
Gardien
#1 : Jiri Patera, #2 : Ales Stezka
Lignes d’attaque personnalisées en prolongation
Julien Gauthier, Ryan Carpenter, , Matej Blumel, Matt Rempe, , , Jakub Lauko, Tyson Kozak, Ryan Winterton, Brandon Biro
Lignes de défense personnalisées en prolongation
Henry Thrun, Nick DeSimone, Jack St. Ivany, Ian Mitchell, Sebastian D. Aho


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
1Americans514000001523-831200000910-120200000613-720.20015294400464121256456051200604314515213.33%19668.42%010222345.74%8821540.93%5210052.00%148103145448040
Total514000001523-831200000910-120200000613-720.20015294400464121256456051200604314515213.33%19668.42%010222345.74%8821540.93%5210052.00%148103145448040
_Since Last GM Reset514000001523-831200000910-120200000613-720.20015294400464121256456051200604314515213.33%19668.42%010222345.74%8821540.93%5210052.00%148103145448040
_Vs Conference514000001523-831200000910-120200000613-720.20015294400464121256456051200604314515213.33%19668.42%010222345.74%8821540.93%5210052.00%148103145448040

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L2152944212200604314500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001523
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3120000910
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000613
Derniers 10 matchs
WLOTWOTL SOWSOL
120200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15213.33%19668.42%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
564560514641
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
10222345.74%8821540.93%5210052.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
148103145448040


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 - 2026-04-183Americans3Wolves4BWXSommaire du match
2 - 2026-04-1911Americans4Wolves3BLXSommaire du match
3 - 2026-04-2019Wolves4Americans5ALXSommaire du match
4 - 2026-04-2127Wolves2Americans8ALSommaire du match
5 - 2026-04-2235Americans3Wolves2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
7 3000 - 100.00% 81,250$243,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,565,310$ 3,565,310$ 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$ 7 0$ 0$




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
1Matej Blumel164659015547126224457411.32%23293017.87101828113000116848.91%21.0627
2Jakub Lauko1584490134341214234075248.40%43296118.75718258001143450.25%00.9024
3Josh Doan120567513128161162115929.46%42235319.627192610600007253.56%01.1123
4Jack St. Ivany13825841092312035216921711.52%210302421.92717248302221010.00%00.7200
5Ryan Carpenter8236629830145627429712.12%25180922.07720276200074359.80%11.0804

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
1Ales Stezka120683860.9043.1368474135737380440.72025
2Jiri Patera56291670.9003.4730648517717730310.6679

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
202482363205522296287941181503410144135941181702112152152093296534830101058410092951929950103944287381669220522514618.33%2855381.40%51558306450.85%1512299050.57%708135652.21%1913131819856141064520
20258248220422434925891412411011131831364741241103111166122441143496369854612111510710320710381059107163264380555520002767527.17%2394879.92%21788319056.05%1527286953.22%796139856.94%2188157617295651039545
Total Saison régulière164845409746645545100824226045233272715682422805223318274442076451170181556226199207196158196720092110107551616211247405252712122.96%52410180.73%73346625453.50%3039585951.87%1504275454.61%410228943715117921041065
Séries éliminatoires
2024514000001423-92020000069-331200000814-62142842005540178566755018763411171600.00%17288.24%08819445.36%10320250.99%448850.00%11477120386531
2025514000001523-831200000910-120200000613-7215294400464121256456051200604314515213.33%19668.42%010222345.74%8821540.93%5210052.00%148103145448040
Total Séries éliminatoires1028000002946-17514000001519-4514000001427-134295786009118139011211211551387123842623126.45%36877.78%019041745.56%19141745.80%9618851.06%2621802658214671

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
1Milos Kelemen104590418151822.22%320520.59011100000036.36%00.8700
2Henry Thrun5178071711119.09%1014629.3501140000100.00%01.0900
3Matej Blumel10448-203183611.11%216916.94112600000070.00%10.9400
4Jack St. Ivany10066-8182620240.00%2024324.32000120000000.00%00.4900
5Mathieu Olivier5336-341692810.71%210521.11000400021046.67%01.1400

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
1Ales Stezka61400.8734.7732700262050000.0000
2Jiri Patera51220.8903.4934400201820000.0000