Login


Game Center
Pantheres
3-1-0, 6pts
7
FINAL
2 Wolves
2-2-0, 4pts
Team Stats
L1StreakL2
1-1-0Home Record0-2-0
2-0-0Away Record2-0-0
3-1-0Last 10 Games2-2-0
5.75Goals Per Game2.75
3.50Goals Against Per Game3.50
13.64%Power Play Percentage18.18%
93.33%Penalty Kill Percentage100.00%
Spiders
2-2-0, 4pts
4
FINAL
0 Wolves
2-2-0, 4pts
Team Stats
W1StreakL2
0-2-0Home Record0-2-0
2-0-0Away Record2-0-0
2-2-0Last 10 Games2-2-0
3.25Goals Per Game2.75
2.25Goals Against Per Game3.50
21.43%Power Play Percentage18.18%
81.82%Penalty Kill Percentage100.00%
Wolves
2-2-0, 4pts
Day 9
Senators
0-3-0, 0pts
Team Stats
L2StreakL3
0-2-0Home Record0-2-0
2-0-0Away Record0-1-0
2-2-0Last 10 Games0-3-0
2.75Goals Per Game2.00
3.50Goals Against Per Game5.33
18.18%Power Play Percentage11.76%
100.00%Penalty Kill Percentage64.29%
IceHogs
1-3-0, 2pts
Day 10
Wolves
2-2-0, 4pts
Team Stats
L1StreakL2
1-1-0Home Record0-2-0
0-2-0Away Record2-0-0
1-3-0Last 10 Games2-2-0
3.00Goals Per Game2.75
4.25Goals Against Per Game3.50
6.67%Power Play Percentage18.18%
61.90%Penalty Kill Percentage100.00%
Wolves
2-2-0, 4pts
Day 11
BigBadStars
1-2-1, 3pts
Team Stats
L2StreakL1
0-2-0Home Record0-1-0
2-0-0Away Record1-1-1
2-2-0Last 10 Games1-2-1
2.75Goals Per Game2.75
3.50Goals Against Per Game4.00
18.18%Power Play Percentage31.25%
100.00%Penalty Kill Percentage84.62%
Team Leaders
Samuel HonzekGoals
Samuel Honzek
3
Sean FarrellAssists
Sean Farrell
5
Sean FarrellPoints
Sean Farrell
6
Samuel HonzekPlus/Minus
Samuel Honzek
2
Erik PortilloWins
Erik Portillo
2
Erik PortilloSave Percentage
Erik Portillo
0.836

Team Stats
Goals For
11
2.75 GFG
Shots For
112
28.00 Avg
Power Play Percentage
18.2%
4 GF
Offensive Zone Start
44.0%
Goals Against
14
3.50 GAA
Shots Against
98
24.50 Avg
Penalty Kill Percentage
100.0%
0 GA
Defensive Zone Start
35.2%
Team Info
General ManagerJonathan Lee
CoachDavid Quinn
DivisionNorth
ConferenceEastern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team29
Farm Team19
Contract Limit48 / 50
Prospects82
Team History
This Season2-2-0 (4PTS)
History993-451-144 (0.625%)
Playoff Appearances18
Playoff Record (W-L)141-101
Stanley Cup2


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
1Matthew Wood (R)X100.005753867870759262755570694066718522650213925,000$
2Otto StenbergX100.007651878153776558405858764066728521630212925,000$
3Adam EdstromX100.008463897591706751404557714076736021620261695,750$
4Ryan SuzukiX100.0063678178587565557063466960747565216102511,231,175$
5Samuel HonzekX100.008649887662755554404959744068728021610222925,000$
6Jacob MelansonX100.009961727665706851404755674070707521600231695,750$
7Bradly NadeauX100.008142878049765155404071654066718521600212925,000$
8Sean FarrellX100.004139848049817155406149587074786521590251695,750$
9Sam Colangelo (R)X100.008953807671605055406050509974676521580251632,500$
10Gracyn Sawchyn (R)X100.003529839340605052706044704066638521580213925,000$
11William WallinderX100.005640837576706538404234704072717021610241695,750$
12Marshall Warren (R)X100.004638798954605551405843704074676521610251575,000$
13Maksymilian SzuberX100.005438697577696446404051624072717021600241695,750$
14Ville OttavainenX100.006958637581575239404237704072657021600241695,750$
15Domenick FensoreX100.004652788043645952405451624074696521590251695,750$
16Ty Murchison (R)X100.006356588269555035403138704070637521580231575,000$
17William VilleneuveX100.0042406975576560464056365940726970205702411,017,500$
18Isaiah George (R)X100.005048817561555042404835704068628020570221632,500$
19Luke Prokop (R)X100.006852807683555037403639564072647020570241575,000$
Scratches
1Evan Vierling (R)X100.004132878950796946404249537372767020560241575,000$
2Owen Allard (R)X100.005743858270786836403340544068738020530221575,000$
3Carey Terrance (R)X100.004940778657776735403140514066728520520211575,000$
4Martin Misiak (R)X100.005241818463726235403435544068708020520221575,000$
5Julian Lutz (R)X100.006648697566645434403037514068668020500221632,500$
6Paul Ludwinski (R)X100.005947817554605033402639544068648020480221632,500$
7Tomas Hamara (R)X100.004838838658555032402340564070637520540231575,000$
TEAM AVERAGE 100.00614779806367604644454663457069742158
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
1Erik Portillo100.00775760996056555358549976666018620261695,750$
2Nikke Kokko (R)100.00756363885050505050509168598021570221632,500$
Scratches
1Dylan Garand100.007764658150505050505087726170215702411,017,500$
TEAM AVERAGE100.0076616389535252515351927262702059
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
David Quinn44705567957350USA6031,000,000$


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
1Sean FarrellWolves (Van)LW4156-70002104910.00%08320.870334170000150066.67%900001.4400000002
2Matthew WoodWolves (Van)RW414527504104810.00%08220.68011318000000071.43%700001.2100001010
3Jacob MelansonWolves (Van)RW4224-74011493422.22%06716.81112318000000066.67%300001.1900000000
4Adam EdstromWolves (Van)C4224-70031254740.00%08020.162023170000130052.17%9200000.9900000100
5Otto StenbergWolves (Van)C413424041217375.88%18521.490114180001190036.21%11600000.9300000001
6Samuel HonzekWolves (Van)LW4314220158141821.43%38521.481011180000192054.55%1100000.9300000210
7Ryan SuzukiWolves (Van)C4011-2401125350.00%15614.2200000000070063.33%6000000.3500000000
8Domenick FensoreWolves (Van)D4011-400203010.00%26516.310113200007000.00%000000.3100000000
9William WallinderWolves (Van)D4011-120632220.00%59624.13000216000019000.00%000000.2100000000
10Bradly NadeauWolves (Van)LW4101-2201414387.14%04711.99000000000000100.00%100000.4200000000
11Marshall WarrenWolves (Van)D40110001237330.00%39423.54011515000018000.00%000000.2100000010
12Ty MurchisonWolves (Van)D4011-460914000.00%25814.620000000002000.00%000000.3400000000
13Maksymilian SzuberWolves (Van)D4000-340414010.00%28421.12000219000016000.00%000000.0000000000
14Ville OttavainenWolves (Van)D4000-21001314010.00%18020.13000218000013000.00%000000.0000000000
15Sam ColangeloWolves (Van)RW4000-240511220.00%04711.7800000000000033.33%300000.0000000000
16Evan VierlingWolves (Van)LW1000000100000.00%044.750000000000000.00%000000.0000000000
17Gracyn SawchynWolves (Van)C4000000053140.00%0205.1000000000000043.75%1600000.0000000000
Team Total or Average65112233-35495877311233709.82%20114217.5848123218300011562049.06%31800000.5800001333
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
1Erik PortilloWolves (Van)42200.8363.382130012730000.000040000
Team Total or Average42200.8363.382130012730000.000040000


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 2040 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2041 204220432044204520462047Salary Year 9Salary Year 10Link
Adam EdstromWolves (Van)C262000-10-12No232 Lbs6 ft7NoNoNo1Pro & Farm695,750$0$0$No
RFA
Link / NHL Link
Bradly NadeauWolves (Van)LW212005-05-05No180 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Carey TerranceWolves (Van)LW212005-05-10Yes187 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
RFA
Link / NHL Link
Domenick FensoreWolves (Van)D252001-09-07No175 Lbs5 ft9NoNoNo1Pro & Farm695,750$0$0$No
RFA
Link / NHL Link
Dylan GarandWolves (Van)G242002-06-07No172 Lbs6 ft1NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Link / NHL Link
Erik PortilloWolves (Van)G262000-09-03No224 Lbs6 ft6NoNoNo1Pro & Farm695,750$0$0$No
RFA
Link / NHL Link
Evan VierlingWolves (Van)LW242002-06-20Yes178 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
RFA
Link / NHL Link
Gracyn SawchynWolves (Van)C212005-01-19Yes155 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Isaiah GeorgeWolves (Van)D222004-02-15Yes196 Lbs6 ft1NoNoNo1Pro & Farm632,500$0$0$No
RFA
Link / NHL Link
Jacob MelansonWolves (Van)RW232003-04-22No207 Lbs6 ft0NoNoNo1Pro & Farm695,750$0$0$No
RFA
Link / NHL Link
Julian LutzWolves (Van)LW222004-02-29Yes201 Lbs6 ft2NoNoNo1Pro & Farm632,500$0$0$No
RFA
Link / NHL Link
Luke ProkopWolves (Van)D242002-05-06Yes224 Lbs6 ft5NoNoNo1Pro & Farm575,000$0$0$No
RFA
Link / NHL Link
Maksymilian SzuberWolves (Van)D242002-08-25No220 Lbs6 ft3NoNoNo1Pro & Farm695,750$0$0$No
RFA
Link / NHL Link
Marshall WarrenWolves (Van)D252001-04-20Yes185 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
RFA
Link / NHL Link
Martin MisiakWolves (Van)LW222004-09-30Yes200 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
RFA
Link / NHL Link
Matthew WoodWolves (Van)RW212005-02-06Yes202 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Nikke KokkoWolves (Van)G222004-03-14Yes184 Lbs6 ft3NoNoNo1Pro & Farm632,500$0$0$No
RFA
Link / NHL Link
Otto StenbergWolves (Van)C212005-05-29No188 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Owen AllardWolves (Van)LW222004-01-13Yes209 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
RFA
Link / NHL Link
Paul LudwinskiWolves (Van)LW222004-04-23Yes185 Lbs6 ft0NoNoNo1Pro & Farm632,500$0$0$No
RFA
Link / NHL Link
Ryan SuzukiWolves (Van)C252001-05-28No190 Lbs6 ft1NoNoNo1Pro & Farm1,231,175$0$0$No
RFA
Link / NHL Link
Sam ColangeloWolves (Van)RW252001-12-26Yes211 Lbs6 ft2NoNoNo1Pro & Farm632,500$0$0$No
RFA
Link / NHL Link
Samuel HonzekWolves (Van)LW222004-11-12No186 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Sean FarrellWolves (Van)LW252001-11-02No188 Lbs5 ft9NoNoNo1Pro & Farm695,750$0$0$No
RFA
Link / NHL Link
Tomas HamaraWolves (Van)D232003-03-09Yes194 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
RFA
Link / NHL Link
Ty MurchisonWolves (Van)D232003-02-02Yes207 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
RFA
Link / NHL Link
Ville OttavainenWolves (Van)D242002-08-12No220 Lbs6 ft5NoNoNo1Pro & Farm695,750$0$0$No
RFA
Link / NHL Link
William VilleneuveWolves (Van)D242002-03-20No183 Lbs6 ft2NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Link / NHL Link
William WallinderWolves (Van)D242002-07-28No210 Lbs6 ft5NoNoNo1Pro & Farm695,750$0$0$No
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2923.21196 Lbs6 ft21.24731,713$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Samuel HonzekOtto StenbergMatthew Wood40122
2Sean FarrellAdam EdstromJacob Melanson30122
3Bradly NadeauRyan SuzukiSam Colangelo20122
4Gracyn SawchynMatthew Wood10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1William WallinderMarshall Warren40122
2Maksymilian SzuberVille Ottavainen30122
3Domenick FensoreTy Murchison20122
4William WallinderMarshall Warren10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Samuel HonzekOtto StenbergMatthew Wood60122
2Sean FarrellAdam EdstromJacob Melanson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1William WallinderMarshall Warren60122
2Maksymilian SzuberVille Ottavainen40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Otto StenbergSamuel Honzek60122
2Adam EdstromSean Farrell40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1William WallinderMarshall Warren60122
2Maksymilian SzuberVille Ottavainen40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Otto Stenberg60122William WallinderMarshall Warren60122
2Adam Edstrom40122Maksymilian SzuberVille Ottavainen40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Otto StenbergSamuel Honzek60122
2Adam EdstromSean Farrell40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1William WallinderMarshall Warren60122
2Maksymilian SzuberVille Ottavainen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Samuel HonzekOtto StenbergMatthew WoodWilliam WallinderMarshall Warren
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Samuel HonzekOtto StenbergMatthew WoodWilliam WallinderMarshall Warren
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Suzuki, Jacob Melanson, Sean FarrellRyan Suzuki, Jacob MelansonRyan Suzuki
Extra Defensemen
Normal PowerPlayPenalty Kill
Ville Ottavainen, Domenick Fensore, Ty MurchisonVille OttavainenVille Ottavainen, Domenick Fensore
Penalty Shots
Matthew Wood, Otto Stenberg, Adam Edstrom, Samuel Honzek, Ryan Suzuki
Goalie
#1 : Erik Portillo, #2 :


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
1Pantheres1010000027-51010000027-50000000000000.00024600434021403636042102330500.00%90100.00%07414052.86%4811242.86%346651.52%1047286294925
2Senators11000000615000000000001100000061521.0006121800434033403636016310217342.86%50100.00%07414052.86%4811242.86%346651.52%1047286294925
3Spiders1010000004-41010000004-40000000000000.000000004340264036360264427500.00%20100.00%07414052.86%4811242.86%346651.52%1047286294925
4WolfPack11000000321000000000001100000032121.00036900434032403636014312125120.00%60100.00%07414052.86%4811242.86%346651.52%1047286294925
Total422000001114-320200000211-92200000093640.50011223300434011240363609820499022418.18%220100.00%07414052.86%4811242.86%346651.52%1047286294925
_Since Last GM Reset422000001114-320200000211-92200000093640.50011223300434011240363609820499022418.18%220100.00%07414052.86%4811242.86%346651.52%1047286294925
_Vs Conference31200000812-420200000211-91100000061520.333816240043408040363608417377817317.65%160100.00%07414052.86%4811242.86%346651.52%1047286294925
_Vs Division10000000615000000000001000000061500.0006121800434033403636016310217342.86%50100.00%07414052.86%4811242.86%346651.52%1047286294925

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
44L21122331129820499000
All Games
GPWLOTWOTL SOWSOLGFGA
42200001114
Home Games
GPWLOTWOTL SOWSOLGFGA
2020000211
Visitor Games
GPWLOTWOTL SOWSOLGFGA
220000093
Last 10 Games
WLOTWOTL SOWSOL
220000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
22418.18%220100.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
40363604340
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7414052.86%4811242.86%346651.52%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1047286294925


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
17Wolves3WolfPack2AWBoxScore
216Wolves6Senators1AWBoxScore
429Pantheres7Wolves2BLBoxScore
650Spiders4Wolves0BLBoxScore
966Wolves-Senators-
1082IceHogs-Wolves-
1188Wolves-BigBadStars-
14106Wolves-Senators-
15120Pantheres-Wolves-
18141BigBadStars-Wolves-
22156Wolves-EvilSharks-
24172Checkers-Wolves-
26195Wolves-IceHawks-
27204IceHawks-Wolves-
29214Wolves-Darkness-
32232Wolves-Sagueneens-
33244SilverKnights-Wolves-
35258Wolves-HC-
39274Wolves-Magics-
40286Remparts-Wolves-
45306HC-Wolves-
50327Wolves-Darkness-
52336IceHawks-Wolves-
53353Wolves-BigBadStars-
55366Pantheres-Wolves-
58385Wolves-HC-
60393Sagueneens-Wolves-
62407Wolves-Checkers-
64427Checkers-Wolves-
67449Thunder-Wolves-
68460Wolves-Thunder-
71479Mighty Ducks-Wolves-
74498Wolves-Mighty Ducks-
75514SilverKnights-Wolves-
76527Wolves-SilverKnights-
78536Wolves-Spiders-
79552EvilSharks-Wolves-
80566Wolves-IceBears-
82583IceBears-Wolves-
84598Wolves-Bandits-
86612Thunder-Wolves-
88622Wolves-Remparts-
89639Wolves-National-
92650Roadrunners-Wolves-
93665Wolves-Roadrunners-
96676BaronsOKC-Wolves-
98695Wolves-Oceanic-
100707Darkness-Wolves-
101725Wolves-Oceanic-
103738Cyclones-Wolves-
105755Wolves-BaronsOKC-
106768WolfPack-Wolves-
108784Wolves-Vikings-
111800Bandits-Wolves-
113817Wolves-IceHogs-
118833Griffins-Wolves-
120855Wolves-IceHawks-
121864Spiders-Wolves-
123885Draveurs-Wolves-
125907Wolves-Nordiques-
126914Wolves-Eagles-
127925Nordiques-Wolves-
129943Wolves-IceHogs-
131956BigBadStars-Wolves-
136979Wolves-Iceberg-
137990Iceberg-Wolves-
1401014National-Wolves-
1431039Senators-Wolves-
1441053Wolves-Sagueneens-
1471063Wolves-Pantheres-
1491077IceHogs-Wolves-
1531103Oceanic-Wolves-
1541115Wolves-Cyclones-
1571136Wolves-Griffins-
1581142Eagles-Wolves-
1601160Wolves-EvilSharks-
1621172Griffins-Wolves-
1651198Vikings-Wolves-
1661207Wolves-Draveurs-
1691222Wolves-WolfPack-
1711235Magics-Wolves-
Trade Deadline --- Trades can’t be done after this day is simulated!
1761257National-Wolves-
1811278Magics-Wolves-
1821292Wolves-Senators-



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
1Max Pacioretty1468354582936343151320312112306211.56%8712465116.797813621432110132395532255.96%70.761136
2Alex Newhook32212512424988533986489713.94%36591318.373339722191121424858.79%20.84625
3Craig Smith42486147233746020093981310.58%33782118.451953721491231824752.87%10.601127
4Cody Glass40286147233289219797680910.63%71628215.63102535108011516561.86%20.74419
5Devin Shore24682111193546615162559713.74%42486719.792743701592351419656.58%40.79119

Wolves Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Samuel Ersson20313157140.9022.2812208141946347260930.71069
2Jake Allen1681164270.9101.719951193228431390920.87046
3Eddie Lack1429535120.9091.67864582424026380520.80693
4Thatcher Demko1618657170.8942.229678181935833700410.71871
5Stanislav Galimov109792450.9041.826612251520020920510.92176

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
201981492004332325231944024110121115811345412590312116711849109325519844200931191063033091211109792491927143821232475421.86%2545677.95%10996212546.87%938202446.34%562123945.36%1799101615727501523758
202082372503197290243474112140307513713074125110012215311340812904727621308297992950098910109272552871115020472404619.17%2135176.06%31112206253.93%1038199052.16%669126452.93%1821102816107701577790
2021824518061752011356641274011621025646411814050139979201032013425431150697247168305465335771538432107320023624813.26%4283791.36%31260234153.82%1126227749.45%593112452.76%2101146518746011026525
20228132230721161761512541189040648865234014140325288862801762944702120516047167005345665341522464100719643814211.02%4085287.25%21227236351.93%1134230349.24%520107448.42%2118149318395851010520
202381362704554199169304118140222310182194018130233198871185199347546110068715118100606586594162247897018714396915.72%3895087.15%41346249353.99%1118222350.29%605117351.58%2150152217675701008531
202482512302150228137914129901020135726341221401130936528117228397625119079727018970632623630148943778818324247016.51%3183489.31%11420245057.96%1248214558.18%654112658.08%2273162916605691020547
20258252170606124913711241237050511287157412910010101216655129249438687013084866719740635701618165048783018394378118.54%3374486.94%21444251257.48%1251221156.58%680120156.62%2347170116185461002552
20268241180411532281577141228020721268541411910021811027230124228390618112071736517360537585582158345793818254249021.23%3584786.87%41313236255.59%1147220452.04%620116753.13%2283163017015781034553
202782501902281266174924128602050139825741221300231127923512326645271806084838920840643729689176047997220503897419.02%4144589.13%31339248353.93%1233230753.45%622119252.18%2252161017185651005536
2030824223031582351825341201001046130953541221302112105871810923541965408084766719300660617631175247294219933978120.40%4206784.05%11230243850.45%1137225950.33%603119550.46%2181153917925751021536
2031825020031622401568441239031411258342412711000211157342121240423663015085816517880595581589149843382018433756116.27%3564986.24%51187229051.83%1153215753.45%655117955.56%2179154717625821026541
203282343005364201172294119120331310288144115180205199841597201344545013060785218670586647613151243964417293825013.09%2573586.38%41455248858.48%1087202153.79%664119755.47%2278163916835701031551
20338236370125122721984119190011111911634117180114010810358722739562203087666817540570580590191257273317543886717.27%2974584.85%31271227955.77%1229221455.51%624118752.57%223716201724549996529
203482362803357262214484122901234147106414114190212311510879826244370516093778421910732698714200358375718513805313.95%3384486.98%41480252258.68%1325232556.99%741124759.42%221015951783557999524
203582343306333233244-1141201403130131123841141903203102121-199223341464718083707122650770706765216361071019093303310.00%2984584.90%41440261954.98%1270232054.74%686127453.85%2117151118565631000514
203680402403544252212404024110202113510233401613015231171107103252443695110098826519520635643648186550768415773466117.63%2584283.72%21294230356.19%1181209556.37%682119557.07%219015971687537984519
20378248200542327920475412210033211451054041261002102134993511727949377218118827211239582978476138191153872417193796316.62%3134186.90%31353256352.79%1193229751.94%685121656.33%220816071777551975509
203878372704163233192413919140401113310429391813001521008812982333956281674747515180257564056755186751162315863295115.50%2643088.64%31329218260.91%1284217259.12%719118360.78%205114691722542962502
203982501704155275187884124902114144105394126802041131824912427547374826101848115221670273576247186548367418083855514.29%2702790.00%11374246255.81%1226229153.51%657120654.48%218915791794561993523
2040422000001114-320200000211-922000000936411223300434011240363609820499022418.18%220100.00%07414052.86%4811242.86%346651.52%1047286294925
Total Regular Season1553802451075401166946103530108077741320104317634024271794633776389250032235329218317364472001461079151252516173297151414951154391092146127771304110820346531020016526354127056115316.34%621284186.46%62249444547754.85%223664194753.32%122752270554.06%410942888033034111612025210592
Playoff
2019106400000353325320000017125532000001821-312355691100101310381011712013933510712025124312.50%21195.24%010525641.02%12725350.20%8116648.80%2201281969318490
202023158000006052813850000033294107300000272343060971570101120246920194208262628187180502651523.08%46784.78%131056355.06%23549947.09%16329854.70%487252450226491247
2021136700000272707340000015141633000001213-11227487513094122570976278316108234325751216.00%86989.53%119537052.70%19742346.57%7918642.47%33923332810217486
202213760000033303734000001920-16420000014104143355880105161127809196872756717032356814.29%741875.68%218337149.33%19239748.36%8519144.50%3202233029616481
202316880000038380844000001718-18440000021201163865103010151111398014612611532894189388931212.90%751678.67%029252655.51%23945152.99%12222953.28%405283379118202101
2024954000002016443100000106452300000101001020365600084718306039571714611522453713.21%42588.10%114027351.28%14626954.28%8113858.70%2671902227412968
2025221660000072413112930000040172310730000032248327212619803023262055901581881795011532425171102220.00%941287.23%041468260.70%37166156.13%17631955.17%656482471146273150
20261064000002317653200000139453200000108212234366000579183043676223658146218401025.00%63690.48%016128057.50%16833550.15%7213852.17%2631862407312865
20271610600000362978530000016115853000002018220366197030914123880122141100359115213441681116.18%101892.08%126751851.54%25150150.10%11623549.36%451317369117208109
203040400000715-82020000035-220200000410-60712190003131000381641133395612816212.50%23386.96%18613563.70%8115751.59%335362.26%1158387275028
2031106400000171615410000093652300000813-5121730470505742160678661161447321463914.29%32681.25%015328952.94%12923355.36%7312956.59%2671902087412565
2032231580000064586108200000302281376000003436-230641101740201322235390138162186593189234526991515.15%961881.25%040165860.94%40471656.42%18635252.84%656476530166298160
203440400000713-62020000037-42020000046-2071219000403650241724932528901100.00%120100.00%0438749.43%6011154.05%285848.28%926295285226
2035514000001423-92110000059-430300000914-521424380003471320454335164474611829413.79%22672.73%19115359.48%9718552.43%649071.11%155114114366334
203624168000008473111293000004638812750000038353328415323720031311954101831691626471842135061122825.00%911385.71%141971258.85%39875153.00%22040554.32%699508513161305164
203717116000004536998100000281612835000001720-32245791240116131603921341201326368116127312681116.18%53590.57%230649461.94%30549561.62%14124657.32%458327377123220112
2038137600000443867430000021165633000002322114447912300171512036111911511611370103114291751520.00%46589.13%024940162.09%22436960.70%14222563.11%4033012538516390
203910640000036333532000001717053200000191631236609601151110031111194871933711611524338821.05%38878.95%023835966.30%23534568.12%12216474.39%2942142146612668
Total Playoff2421411010000066258874123784500000342269731196356000003203191282662114618084214819321817559763641852187516246015179826155617109519217.53%101514685.62%114053712756.87%3859715153.96%1984362254.78%655545795356181733621752

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
1Max Pacioretty126253964191151711732739.16%74212416.863472311273148.12%00.6000
2Alex Newhook643032623147018218516.22%17138721.68510152400035160.40%00.8900
3Cody Glass732230527465817615614.10%17129717.782791402223365.29%00.8000
4Anton Lundell3012284062201321229.84%880226.7628101820251164.50%01.0000
5Craig Smith6515223713243016411313.27%12135720.8948122100054349.68%00.5500

Wolves Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Spencer Knight2416710.8892.84149820716400020.0000
2Vitaly Kolesnik2315620.9172.1914280152628280200.0000
3Thatcher Demko28151110.8982.43175622716970200.0000
4Samuel Ersson2115510.9082.08129622454880000.0000
5Eddie Lack26131110.9062.011582154535630210.0000