Wolves
GP: 5 | W: 1 | L: 4
GF: 15 | GA: 23 | PP%: 13.33% | PK%: 68.42%
GM : | Morale : 75 | Team Overall : 61
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
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
3.00Goals Per Game5.10
4.60Goals Against Per Game3.40
13.33%Power Play Percentage26.53%
68.42%Penalty Kill Percentage80.77%
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
5.10Goals Per Game3.00
3.40Goals Against Per Game4.60
26.53%Power Play Percentage13.33%
80.77%Penalty Kill Percentage68.42%
Team Leaders
Jiri PateraWins
Jiri Patera
1
Jiri PateraSave Percentage
Jiri Patera
0.89

Team Stats
Goals For
15
3.00 GFG
Shots For
212
42.40 Avg
Power Play Percentage
13.3%
2 GF
Offensive Zone Start
41.4%
Goals Against
23
4.60 GAA
Shots Against
200
40.00 Avg
Penalty Kill Percentage
68.4%
6 GA
Defensive Zone Start
40.0%
Team Info

General Manager
CoachTrent Vogelhuber
DivisionAtlantic Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance3,000
Season Tickets300


Roster Info

Pro Team38
Farm Team20
Contract Limit58 / 80
Prospects54


Team History

This Season1-4
History97-54-15 (0.584%)
Playoff Appearances1
Playoff Record (W-L)2-8
Stanley Cup0


Filter Tips
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
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary Average
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$
Scratches
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$
TEAM AVERAGE100.0070428160787576595159565955656707561
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary Average
1Ales Stezka100.0075817684747375747375746881075660282999,999$
2Jiri Patera (R)100.0074787486737274737274736675075650263750,000$
Scratches
1Pavel Cajan100.0067767276666567666567666369075610221999,999$
TEAM AVERAGE100.007278748271707271707271667507564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Trent Vogelhuber68656966555290USA363950,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
Team Total or Average75152944-16435143129212411277.08%59164221.90246381180003901149.41%42700020.5400001212
Filter Tips
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
# Goalie Name Team NameGP 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
Team Total or Average61220.8853.7137200232000000.000055000


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adam BeckmanWolves (CAR)C/LW242001-05-10Yes182 Lbs6 ft2NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Link / NHL Link
Ales StezkaWolves (CAR)G281997-01-06No190 Lbs6 ft4NoNoNo2Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$Link / NHL Link
Andrew PerrottWolves (CAR)D242001-08-24No217 Lbs5 ft10NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Link / NHL Link
Brandon BiroWolves (CAR)LW271998-03-11Yes170 Lbs5 ft11NoNoNo2Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$Link / NHL Link
Brandon ScanlinWolves (CAR)D261999-06-02No218 Lbs6 ft4NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLink / NHL Link
Chad NychukWolves (CAR)D242001-03-06No194 Lbs6 ft1NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLink / NHL Link
Coulson PitreWolves (CAR)RW202004-12-13Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Link / NHL Link
Daniel TorgerssonWolves (CAR)LW/RW232002-01-26Yes199 Lbs6 ft3NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLink / NHL Link
Dino KambeitzWolves (CAR)C/RW252000-01-25No212 Lbs6 ft2NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Link / NHL Link
Henry ThrunWolves (CAR)D242001-03-12Yes210 Lbs6 ft2NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Link / NHL Link
Ian MitchellWolves (CAR)D261999-01-18Yes192 Lbs6 ft0NoNoNo2Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$Link / NHL Link
Jack St. IvanyWolves (CAR)D261999-07-22No205 Lbs6 ft4NoNoYes1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLink / NHL Link
Jake ChiassonWolves (CAR)RW222003-05-25Yes165 Lbs6 ft2NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Link / NHL Link
Jakub LaukoWolves (CAR)C252000-03-28Yes193 Lbs6 ft1NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLink / NHL Link
Jayden GrubbeWolves (CAR)C222003-01-12Yes201 Lbs6 ft3NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Link / NHL Link
Jaydon DureauWolves (CAR)LW242001-01-20Yes173 Lbs5 ft11NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Link / NHL Link
Jiri PateraWolves (CAR)G261999-02-24Yes212 Lbs6 ft3NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Link / NHL Link
Jonathan GrudenWolves (CAR)LW252000-05-04Yes172 Lbs6 ft0NoNoNo1Pro & Farm800,000$266,667$800,000$266,667$0$0$NoLink / NHL Link
Julien GauthierWolves (CAR)RW271997-10-15No225 Lbs6 ft4NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Link / NHL Link
Kyle CapobiancoWolves (CAR)D281997-08-13No198 Lbs6 ft3NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Link / NHL Link
Matej BlumelWolves (CAR)LW/RW252000-05-31Yes205 Lbs6 ft0NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLink / NHL Link
Matt RempeWolves (CAR)C232002-06-29No255 Lbs6 ft9NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLink / NHL Link
Milos KelemenWolves (CAR)LW/RW261999-07-06No210 Lbs6 ft2NoNoNo1Pro & Farm888,100$296,033$888,100$296,033$0$0$NoLink / NHL Link
Navrin MutterWolves (CAR)LW242001-03-15No190 Lbs6 ft3NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLink / NHL Link
Nick DeSimoneWolves (CAR)D301994-11-21No194 Lbs6 ft2NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Link / NHL Link
Pavel CajanWolves (CAR)G222002-10-13No176 Lbs6 ft2NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLink / NHL Link
Phillip Di GiuseppeWolves (CAR)LW/RW311993-10-09No193 Lbs6 ft0NoNoNo1Pro & Farm990,000$330,000$990,000$330,000$0$0$NoLink / NHL Link
Reece VitelliWolves (CAR)C242001-07-05Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Link / NHL Link
Riley KidneyWolves (CAR)C222003-03-25Yes181 Lbs5 ft11NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Link / NHL Link
Riley SutterWolves (CAR)C251999-10-25Yes210 Lbs6 ft4NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLink / NHL Link
Roman SchmidtWolves (CAR)D222003-02-27Yes216 Lbs6 ft5NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Link / NHL Link
Ryan CarpenterWolves (CAR)C/RW341991-01-18No198 Lbs6 ft1NoNoNo1Pro & Farm900,000$300,000$900,000$300,000$0$0$NoLink / NHL Link
Ryan WintertonWolves (CAR)C222003-09-04Yes175 Lbs6 ft2NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Link / NHL Link
Sebastian D. AhoWolves (CAR)D291996-02-17No180 Lbs5 ft10NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Link / NHL Link
Trevor JanickeWolves (CAR)C242000-12-25Yes193 Lbs5 ft10NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Link / NHL Link
Trey TaylorWolves (CAR)D232002-02-04No190 Lbs6 ft2NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Link / NHL Link
Ty GloverWolves (CAR)C/LW252000-10-01No200 Lbs6 ft3NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLink / NHL Link
Tyson KozakWolves (CAR)C222002-12-29No185 Lbs5 ft11NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3824.97196 Lbs6 ft21.97938,239$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan CarpenterJulien Gauthier34023
2Matej BlumelMatt RempeMilos Kelemen32023
3Brandon BiroJakub Lauko26023
4Jakub LaukoJulien Gauthier8131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunNick DeSimone34023
2Jack St. IvanyIan Mitchell32023
3Sebastian D. AhoKyle Capobianco28023
4Henry ThrunNick DeSimone6023
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan CarpenterJulien Gauthier60005
2Matej BlumelMatt RempeMilos Kelemen40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunNick DeSimone60005
2Jack St. IvanyIan Mitchell40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan Carpenter60050
2Jakub LaukoJulien Gauthier40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunJack St. Ivany60050
2Sebastian D. AhoIan Mitchell40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Carpenter60050Henry ThrunJack St. Ivany60050
240050Sebastian D. AhoIan Mitchell40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Julien GauthierRyan Carpenter60023
2Matej Blumel40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunNick DeSimone60023
2Jack St. IvanyIan Mitchell40023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ryan CarpenterJulien GauthierHenry ThrunNick DeSimone
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jakub LaukoRyan CarpenterHenry ThrunJack St. Ivany
Extra Forwards
Normal PowerPlayPenalty Kill
Tyson Kozak, Ryan Winterton, Tyson Kozak, Ryan Winterton
Extra Defensemen
Normal PowerPlayPenalty Kill
Sebastian D. Aho, Kyle Capobianco, Jack St. IvanySebastian D. AhoKyle Capobianco, Jack St. Ivany
Penalty Shots
Julien Gauthier, Ryan Carpenter, , Matej Blumel, Matt Rempe
Goalie
#1 : Jiri Patera, #2 : Ales Stezka
Custom OT Lines Forwards
Julien Gauthier, Ryan Carpenter, , Matej Blumel, Matt Rempe, , , Jakub Lauko, Tyson Kozak, Ryan Winterton, Brandon Biro
Custom OT Lines Defensemen
Henry Thrun, Nick DeSimone, Jack St. Ivany, Ian Mitchell, Sebastian D. Aho


Filter Tips
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
OverallHomeVisitor
# VS Team 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 For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52L2152944212200604314500
All Games
GPWLOTWOTL SOWSOLGFGA
51400001523
Home Games
GPWLOTWOTL SOWSOLGFGA
3120000910
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2020000613
Last 10 Games
WLOTWOTL SOWSOL
120200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
15213.33%19668.42%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
564560514641
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
10222345.74%8821540.93%5210052.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
148103145448040


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2026-04-183Americans3Wolves4BWXBoxScore
2 - 2026-04-1911Americans4Wolves3BLXBoxScore
3 - 2026-04-2019Wolves4Americans5ALXBoxScore
4 - 2026-04-2127Wolves2Americans8ALBoxScore
5 - 2026-04-2235Americans3Wolves2BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2515
Attendance6,0003,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
7 3000 - 100.00% 81,250$243,750$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 3,565,310$ 3,565,310$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 7 0$ 0$




Wolves Stat Leaders (Regular Season)

# Player Name 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 Goalies Stat Leaders (Regular Season)

# Goalie Name 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 Career Team Stats

OverallHomeVisitor
Year 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
Regular Season
202482363205522296287941181503410144135941181702112152152093296534830101058410092951929950103944287381669220522514618.33%2855381.40%51558306450.85%1512299050.57%708135652.21%1913131819856141064520
20258248220422434925891412411011131831364741241103111166122441143496369854612111510710320710381059107163264380555520002767527.17%2394879.92%21788319056.05%1527286953.22%796139856.94%2188157617295651039545
Total Regular Season164845409746645545100824226045233272715682422805223318274442076451170181556226199207196158196720092110107551616211247405252712122.96%52410180.73%73346625453.50%3039585951.87%1504275454.61%410228943715117921041065
Playoff
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 Playoff1028000002946-17514000001519-4514000001427-134295786009118139011211211551387123842623126.45%36877.78%019041745.56%19141745.80%9618851.06%2621802658214671

Wolves Stat Leaders (Play-Off)

# Player Name 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 Goalies Stat Leaders (Play-Off)

# Goalie Name 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