Wolves
GP: 13 | W: 7 | L: 6
GF: 42 | GA: 43 | PP%: 15.91% | PK%: 82.61%
DG: Yves Ayotte | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Wolves
7-6-0, 14pts
0
FINAL
3 IceHogs
9-8-0, 18pts
Team Stats
OTL1StreakL3
4-3-0Home Record5-3-0
3-3-0Away Record4-5-0
4-5-1Last 10 Games4-6-0
3.23Buts par match 3.06
3.31Buts contre par match 3.12
15.91%Pourcentage en avantage numérique22.64%
82.61%Pourcentage en désavantage numérique86.96%
IceHogs
9-8-0, 18pts
6
FINAL
5 Wolves
7-6-0, 14pts
Team Stats
L3StreakOTL1
5-3-0Home Record4-3-0
4-5-0Away Record3-3-0
4-6-0Last 10 Games4-5-1
3.06Buts par match 3.23
3.12Buts contre par match 3.31
22.64%Pourcentage en avantage numérique15.91%
86.96%Pourcentage en désavantage numérique82.61%
Meneurs d'équipe
Michael HutchinsonVictoires
Michael Hutchinson
7
Erik KallgrenPourcentage d’arrêts
Erik Kallgren
0.933

Statistiques d’équipe
Buts pour
42
3.23 GFG
Tirs pour
436
33.54 Avg
Pourcentage en avantage numérique
15.9%
7 GF
Début de zone offensive
41.4%
Buts contre
43
3.31 GAA
Tirs contre
410
31.54 Avg
Pourcentage en désavantage numérique
82.6%
8 GA
Début de la zone défensive
39.6%
Information d’équipe

Directeur généralYves Ayotte
EntraîneurJohn Wroblewski
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 80
Espoirs63


Historique d'équipe

Saison actuelle7-6
Historique99-52-12 (0.607%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)7-6
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
SP
Âge
Contrat
Salaire
1Kyle Turris0XXX100.00583582647678736679636162668273075640333999,999$
2Boris Katchouk (R)0X100.007839866483778561646261656364650756402431,100,000$
3Mathieu Olivier (R)0X100.00818456608276826162606166586567075630251999,000$
4Gage Quinney0XX100.00603792617289686356616459626769075630272999,000$
5Kirill Semyonov (R)0X100.00623673646986616379656166626769075630283950,000$
6Michael Chaput0X100.00723982608174835977605664587072075620302999,000$
7Sampo Ranta (R)0X100.00683882627978716059575861596264075610222925,000$
8Antoine Morand (R)0X100.00603883586971885763565560576365075600234925,000$
9Jakub Lauko (R)0X100.00593471596884805963615655606264075600224925,000$
10Evan Weinger (R)0X100.00613886567377865253565754566567075590251999,000$
11Jonathan Gruden (R)0X100.00613474576972815659575853576264075590222925,000$
12Dino Kambeitz0X100.00643583548371815553565758556264075590223999,999$
13Matt Irwin0X100.00853981618085745830685578507675075650351999,000$
14Austin Strand (R)0X100.00743986638682726430665863516467075640251800,000$
15Nick Seeler0X100.00764578608182745330615468476971075620293999,999$
16Vincent Desharnais (R)0X100.00867773569572935430595362466668075620263999,999$
17Matt Bartkowski0X100.00693883567872875530575558457476075610342999,000$
18Markus Phillips (R)0X100.00663983577566775630555453466365075590232925,000$
Rayé
1Isaac Johnson0X100.00683792567773605560585456556365075590233999,999$
2Ivan Lodnia (R)0X100.00643786577377665652545553586365075580233950,000$
3Matej Pekar (R)0X100.00655362517473765256535455516264075570222925,000$
4Brennan Menell (R)0X100.00613473576866675930585257456567075580252750,000$
5Layton Ahac (R)0X100.00693891537865635230555153456163075570212925,000$
MOYENNE D’ÉQUIPE100.0068428059777676585159576054666707561
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
SP
Âge
Contrat
Salaire
1Michael Hutchinson100.0075757684737274737274737586075660322900,000$
2Erik Kallgren (R)100.0074858382737274737274736675075650261999,000$
Rayé
1Jiri Patera (R)100.0070717082696870696870696369075620233999,999$
MOYENNE D’ÉQUIPE100.007377768372717372717372687707564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Wroblewski66627469625885USA413900,000$


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’équipe
POS
GP
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
1Kyle TurrisWolves (CAR)C/LW/RW137613280122355123412.73%229022.332249390000303153.62%23500000.9000000101
2Michael ChaputWolves (CAR)C13751226028302852025.00%221216.32112724000082157.02%22800001.1300000021
3Gage QuinneyWolves (CAR)C/LW13661222072750102812.00%125919.98011426000090145.74%18800100.9200000110
4Nick SeelerWolves (CAR)D1311011610021162610143.85%1232625.080111133000141000.00%000000.6700000011
5Matt IrwinWolves (CAR)D122911-51603023309156.67%2231826.510552041000034000.00%000000.6900000100
6Sampo RantaWolves (CAR)LW13369140261226102411.54%023418.05011216000000041.18%1700000.7700000100
7Austin StrandWolves (CAR)D13167-8001318206145.00%1833425.741121442000133100.00%000000.4200000000
8Jonathan GrudenWolves (CAR)LW1315610012715886.67%118814.4800000000111037.50%800000.6400000001
9Vincent DesharnaisWolves (CAR)D130664120301312780.00%1430423.44000333000033000.00%000000.3900000000
10Kirill SemyonovWolves (CAR)C11336-10012413312269.09%322120.160224220001370055.90%28800000.5400000010
11Mathieu OlivierWolves (CAR)RW13325-410052184518306.67%429822.991017360002450043.33%3000100.3300000010
12Matt BartkowskiWolves (CAR)D1323526031141131118.18%2124418.8300000000012000.00%000000.4100000010
13Dino KambeitzWolves (CAR)RW13235-1202081341015.38%018714.4400000000000041.67%1200000.5300000001
14Boris KatchoukWolves (CAR)LW9134-2601719292263.45%120322.621017240002130164.29%1400000.3900000000
15Markus PhillipsWolves (CAR)D1313426016682212.50%1021116.260000000001000.00%000000.3800000010
16Evan WeingerWolves (CAR)RW51123003362616.67%27414.8400000000000028.57%700000.5400000000
17Antoine MorandWolves (CAR)C13112-140419167126.25%115411.861016290000110042.52%12700000.2600000000
18Isaac JohnsonWolves (CAR)RW13011-12011580190.00%1997.6700000000000057.14%700000.2000000000
19Jakub LaukoWolves (CAR)C13000-24091357110.00%11098.4100001000000041.67%1200000.0000000000
20Brennan MenellWolves (CAR)D1000-100110000.00%22121.000000000002000.00%000000.0000000000
21Ivan LodniaWolves (CAR)RW1000020020010.00%01010.220000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne2344279121-110003553184361343199.63%118430518.40714219437300083187451.58%117300200.5600000485
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Michael HutchinsonWolves (CAR)137510.8942.9386000423950000.0000130200
2Erik KallgrenWolves (CAR)10000.9333.0020001150000.0000013000
Statistiques d’équipe totales ou en moyenne147510.8952.9388000434100000.00001313200


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’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Salaire moyen
Salaire moyen restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
Antoine MorandWolves (CAR)C232/18/1999Yes184 Lbs5 ft11NoNoNo4Pro & Farm925,000$925,000$0$0$No925,000$925,000$925,000$Lien / Lien NHL
Austin StrandWolves (CAR)D252/17/1997Yes215 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Boris Katchouk (contrat à 1 volet)Wolves (CAR)LW246/18/1998Yes206 Lbs6 ft2NoNoNo3Pro & Farm1,100,000$1,100,000$1,100,000$0$No1,100,000$1,100,000$Lien / Lien NHL
Brennan MenellWolves (CAR)D255/24/1997Yes177 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Dino KambeitzWolves (CAR)RW221/25/2000No212 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Erik KallgrenWolves (CAR)G2610/14/1996Yes193 Lbs6 ft3NoNoNo1Pro & Farm999,000$999,000$0$0$NoLien / Lien NHL
Evan WeingerWolves (CAR)RW254/18/1997Yes193 Lbs6 ft0NoNoNo1Pro & Farm999,000$999,000$0$0$NoLien / Lien NHL
Gage Quinney (contrat à 1 volet)Wolves (CAR)C/LW277/29/1995No200 Lbs5 ft11NoNoNo2Pro & Farm999,000$999,000$999,000$0$No999,000$Lien / Lien NHL
Isaac JohnsonWolves (CAR)RW231/24/1999No185 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Ivan LodniaWolves (CAR)RW238/31/1999Yes202 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Jakub LaukoWolves (CAR)C223/28/2000Yes169 Lbs6 ft0NoNoNo4Pro & Farm925,000$925,000$0$0$No925,000$925,000$925,000$Lien / Lien NHL
Jiri PateraWolves (CAR)G232/24/1999Yes209 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Jonathan GrudenWolves (CAR)LW225/4/2000Yes172 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Kirill SemyonovWolves (CAR)C2810/27/1994Yes171 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Kyle TurrisWolves (CAR)C/LW/RW338/14/1989No190 Lbs6 ft1NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Layton AhacWolves (CAR)D212/22/2001Yes188 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Markus PhillipsWolves (CAR)D233/21/1999Yes202 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Matej PekarWolves (CAR)LW222/10/2000Yes185 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Mathieu OlivierWolves (CAR)RW252/11/1997Yes210 Lbs6 ft2NoNoNo1Pro & Farm999,000$999,000$0$0$NoLien / Lien NHL
Matt BartkowskiWolves (CAR)D346/4/1988No201 Lbs6 ft1NoNoNo2Pro & Farm999,000$999,000$0$0$No999,000$Lien / Lien NHL
Matt IrwinWolves (CAR)D3511/29/1987No200 Lbs6 ft2NoNoYes1Pro & Farm999,000$999,000$0$0$NoLien / Lien NHL
Michael ChaputWolves (CAR)C304/9/1992No199 Lbs6 ft2NoNoNo2Pro & Farm999,000$999,000$0$0$No999,000$Lien / Lien NHL
Michael HutchinsonWolves (CAR)G323/2/1990No201 Lbs6 ft3NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Nick SeelerWolves (CAR)D296/3/1993No201 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Sampo RantaWolves (CAR)LW225/31/2000Yes195 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Vincent DesharnaisWolves (CAR)D265/29/1996Yes215 Lbs6 ft6NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.77195 Lbs6 ft12.31958,384$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukKyle TurrisMathieu Olivier40122
2Gage QuinneyKirill SemyonovDino Kambeitz30122
3Sampo RantaMichael ChaputEvan Weinger20122
4Jonathan GrudenAntoine MorandKyle Turris10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinAustin Strand40122
2Vincent DesharnaisNick Seeler30122
3Matt BartkowskiMarkus Phillips20122
4Matt IrwinAustin Strand10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukKyle TurrisMathieu Olivier60122
2Gage QuinneyKirill SemyonovDino Kambeitz40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinAustin Strand60122
2Vincent DesharnaisNick Seeler40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kyle TurrisBoris Katchouk60122
2Kirill SemyonovGage Quinney40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinAustin Strand60122
2Vincent DesharnaisNick Seeler40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kyle Turris60122Matt IrwinAustin Strand60122
2Boris Katchouk40122Vincent DesharnaisNick Seeler40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kyle TurrisBoris Katchouk60122
2Kirill SemyonovGage Quinney40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinAustin Strand60122
2Vincent DesharnaisNick Seeler40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukKyle TurrisMathieu OlivierMatt IrwinAustin Strand
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukKyle TurrisMathieu OlivierMatt IrwinAustin Strand
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakub Lauko, Michael Chaput, Sampo RantaJakub Lauko, Michael ChaputSampo Ranta
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Bartkowski, Markus Phillips, Vincent DesharnaisMatt BartkowskiMarkus Phillips, Vincent Desharnais
Tirs de pénalité
Kyle Turris, Boris Katchouk, Kirill Semyonov, Gage Quinney, Mathieu Olivier
Gardien
#1 : Michael Hutchinson, #2 : Erik Kallgren
Lignes d’attaque personnalisées en prolongation
Kyle Turris, Boris Katchouk, Kirill Semyonov, Gage Quinney, Mathieu Olivier, Michael Chaput, Michael Chaput, Sampo Ranta, Antoine Morand, Jakub Lauko, Dino Kambeitz
Lignes de défense personnalisées en prolongation
Matt Irwin, Austin Strand, Vincent Desharnais, Nick Seeler, Matt Bartkowski


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
Total
Domicile
Visiteur
#
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
1IceHogs734000002225-3422000001413131200000812-460.4292239610015121322361311281334418661541801417.14%23578.26%025748652.88%24546552.69%10322346.19%34423634910818691
2Monsters642000002018232100000109132100000109180.66720406000151213220013112813344224574617530620.00%23386.96%025748652.88%24546552.69%10322346.19%34423634910818691
Total1376000004243-17430000024222633000001821-3140.53842791210015121324361311281334441011810035544715.91%46882.61%025748652.88%24546552.69%10322346.19%34423634910818691
_Since Last GM Reset1376000004243-17430000024222633000001821-3140.53842791210015121324361311281334441011810035544715.91%46882.61%025748652.88%24546552.69%10322346.19%34423634910818691
_Vs Conference1376000004243-17430000024222633000001821-3140.53842791210015121324361311281334441011810035544715.91%46882.61%025748652.88%24546552.69%10322346.19%34423634910818691
_Vs Division776000002225-3443000001413133300000812-4141.0002239610015121322361311281334418661541801417.14%23578.26%025748652.88%24546552.69%10322346.19%34423634910818691

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1314OTL1427912143641011810035500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
137600004243
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74300002422
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300001821
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
44715.91%46882.61%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
131128133441512132
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
25748652.88%24546552.69%10322346.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
34423634910818691


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
2 - 2023-04-145Monsters2Wolves3BWXSommaire du match
4 - 2023-04-1613Monsters2Wolves4BWSommaire du match
6 - 2023-04-1821Wolves3Monsters1AWSommaire du match
8 - 2023-04-2029Wolves3Monsters5ALSommaire du match
10 - 2023-04-2237Monsters5Wolves3BLSommaire du match
12 - 2023-04-2445Wolves4Monsters3AWXSommaire du match
16 - 2023-04-2859IceHogs3Wolves0BLSommaire du match
18 - 2023-04-3063IceHogs1Wolves4BWSommaire du match
20 - 2023-05-0267Wolves4IceHogs2AWSommaire du match
22 - 2023-05-0471Wolves4IceHogs7ALSommaire du match
24 - 2023-05-0675IceHogs3Wolves5BWSommaire du match
26 - 2023-05-0879Wolves0IceHogs3ALSommaire du match
28 - 2023-05-1083IceHogs6Wolves5BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance14,0007,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 3000 - 100.00% 81,250$568,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,281,900$ 2,281,900$ 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$




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
1Gage Quinney16456881442195239054710.24%28305018.6010293993112617553.21%10.9459
2Matt Irwin1402293115122004192252588.53%244316522.611123341301233340.00%00.7300
3Mathieu Olivier16255591143217362320652410.50%40289417.8783117711295248.76%10.7911
4Drake Caggiula774460104424212422534012.94%23161320.969142355336115053.32%11.2915
5Boris Katchouk1194854102323719019341011.71%34248620.8910122265101102153.47%00.8203

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
1Michael Hutchinson1337639130.9053.14774814340642710250.70030
2Erik Kallgren41231300.9193.0021630110813270010.72711

Wolves Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
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
2382392806621289260294120150311113912514411913035101501351510128950879722961038283001969104495344283180160519892685721.27%2443984.02%11752310456.44%1591293354.24%732134254.55%2072145818435811050533
2022824724023333442648041261001112187133544121140122115713126110344618962421291061041230769811054101557277388261720212315523.81%2665280.45%71643301254.55%1543298851.64%751139153.99%2034143518785851048527
Total Saison régulière164865208954633524109824625042233262586882402704731307266412116331126175964225209186206077195020981968101560416831222401049911222.44%5109182.16%83395611655.51%3134592152.93%1483273354.26%410728933721116620981061
20221376000004243-17430000024222633000001821-31442791210015121324361311281334441011810035544715.91%46882.61%025748652.88%24546552.69%10322346.19%34423634910818691
Total Séries éliminatoires1376000004243-17430000024222633000001821-31442791210015121324361311281334441011810035544715.91%46882.61%025748652.88%24546552.69%10322346.19%34423634910818691

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
1Kyle Turris1376132812235512.73%229022.33224900003153.62%00.9000
2Gage Quinney136612227275012.00%125919.98011400000145.74%00.9200
3Michael Chaput1375122628302825.00%221216.32112700002157.02%01.1300
4Nick Seeler13110116102116263.85%1232625.08011110001000.00%00.6700
5Matt Irwin122911-5163023306.67%2231826.51055200000000.00%00.6900

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
1Michael Hutchinson137510.8942.9386000423950000.0000
2Erik Kallgren10000.9333.0020001150000.0000