Out of Date Version of the STHS! Please update your version!
Login

Wolf Pack
GP: 18 | W: 13 | L: 4 | OTL: 1 | P: 27
GF: 93 | GA: 36 | PP%: 25.00% | PK%: 80.68%
GM : Steve | Morale : 50 | Team Overall : 58
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Wolf Pack
13-4-1, 27pts
5
FINAL
3 Crunch
11-7-0, 22pts
Team Stats
L1StreakL1
6-2-1Home Record6-3-0
7-2-0Away Record5-4-0
7-2-1Last 10 Games5-5-0
5.17Goals Per Game4.39
2.00Goals Against Per Game3.22
25.00%Power Play Percentage23.38%
80.68%Penalty Kill Percentage80.90%
Wolf Pack
13-4-1, 27pts
2
FINAL
4 Canucks
13-2-3, 29pts
Team Stats
L1StreakW1
6-2-1Home Record7-1-1
7-2-0Away Record6-1-2
7-2-1Last 10 Games6-1-3
5.17Goals Per Game4.44
2.00Goals Against Per Game2.33
25.00%Power Play Percentage24.24%
80.68%Penalty Kill Percentage86.79%
Team Leaders
Goals
Michael Vecchione
14
Drake CaggiulaAssists
Drake Caggiula
20
Drake CaggiulaPoints
Drake Caggiula
30
Kyle CapobiancoPlus/Minus
Kyle Capobianco
26
Wins
Felix Sandstrom
10
Save Percentage
Garrett Metcalf
0.907

Team Stats
Goals For
93
5.17 GFG
Shots For
541
30.06 Avg
Power Play Percentage
25.0%
20 GF
Offensive Zone Start
43.2%
Goals Against
36
2.00 GAA
Shots Against
297
16.50 Avg
Penalty Kill Percentage
80.7%%
17 GA
Defensive Zone Start
32.0%
Team Info

General ManagerSteve
CoachDavid Bell
DivisionAtlantic
ConferenceEastern Conference
Captain
Assistant #1Ben Jones
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team21
Farm Team19
Contract Limit40 / 50
Prospects35


Team History

This Season13-4-1 (27PTS)
History54-13-3 (0.771%)
Playoff Appearances1
Playoff Record (W-L)0-0
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
1Drake CaggiulaXX100.006863796563717367506461675865656550630301850,000$
2Michael VecchioneXX100.007569886669778064806164656144446750630311775,000$
3Tanner KeroXX100.007468896368768061765858675558586350620322775,000$
4Vinni LettieriXX100.007743846969546868505960692558586450620292925,000$
5Tanner Laczynski (R)XX100.007671876571616066806364666146466650620271925,000$
6Ben Jones (R) (A)X100.007168776368818664806361635844446450620252850,000$
7Kyle RauXXX100.006961886561707359746054605144456150590312750,000$
8Luca Del Bel Belluz (R)X100.007466946466646560755956635344446250590203860,000$
9Bokondji ImamaX100.006980426680687449504646584445455250550281750,000$
10Ozzy Wiesblatt (R)X100.006765706565606352505446584444445450550222835,833$
11Henry Rybinski (R)XXX100.005555555555555555555555555555555550541231925,000$
12David Jiricek (R)X100.006542857671658061255547672548486050620202918,333$
13Kyle CapobiancoX100.007572826572606062255552674954556150610271900,000$
14Dillon Heatherington (R)X100.008281846581717846253641643945455450600291925,000$
15Aaron NessX100.007265886565778450254541603944445550590342750,000$
16Gavin BayreutherX100.007172676572555654255239643758585450590302750,000$
17Cameron CrottyX100.007470846370697548253941603944445350580251925,000$
Scratches
1Nicholas Caamano (R)X100.0080768863765758545057466544444457505702600$
2Gavin White (R)X100.007468886768596248254139603744445250570213857,500$
TEAM AVERAGE100.00726680656966705750545163464949595059
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
1Felix Sandstrom100.00475063754546505347483046464850510272850,000$
2Garrett Metcalf100.00444050734544454945454544444550480282775,000$
Scratches
TEAM AVERAGE100.0046455774454548514647384545475050
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
David Bell63717368807469CAN541400,000$


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
1Drake CaggiulaWolf Pack (NYR)LW/RW1810203024100343668155014.71%538321.291348490003581061.39%10100011.5700000241
2Tanner LaczynskiWolf Pack (NYR)C/RW181215272420171555154621.82%122712.64202747000001071.43%2800002.3700000105
3Kyle CapobiancoWolf Pack (NYR)D187202726221029142981624.14%2036720.403251255000056000.00%000001.4700020111
4Michael VecchioneWolf Pack (NYR)C/RW141412262140261760114123.33%432623.343369510004642062.50%21600011.5900000412
5Tanner KeroWolf Pack (NYR)C/LW1810112115100173149155320.41%231317.391239511012362080.63%22200011.3400000120
6Vinni LettieriWolf Pack (NYR)C/RW148122013120192847213517.02%224517.533471149000043073.33%1500001.6300000121
7Kyle RauWolf Pack (NYR)C/LW/RW1471219124071533101621.21%023216.63156636000031040.91%4400001.6300000110
8Ben JonesWolf Pack (NYR)C18512171120032446318557.94%632518.081678290002380168.50%25400001.0400000121
9Dillon HeatheringtonWolf Pack (NYR)D182121415315459315156.45%1235219.601671556000348000.00%000000.7900010001
10Luca Del Bel BelluzWolf Pack (NYR)C1437107605131541020.00%01198.5301116000051156.12%9800001.6700000000
11Ozzy WiesblattWolf Pack (NYR)RW183710880182225112212.00%024313.510002120112140055.56%2700000.8200000101
12Aaron NessWolf Pack (NYR)D143581110011862650.00%527319.53235445011042100.00%000000.5900000001
13Gavin BayreutherWolf Pack (NYR)D141781017520983312.50%319513.99000322000012000.00%000000.8200001000
14Bokondji ImamaWolf Pack (NYR)LW1853815261024123081516.67%023513.0820235000071071.43%1400000.6800020001
15Gavin WhiteWolf Pack (NYR)D14224710022430366.67%514910.6900005000012000.00%000000.5300000100
16Cameron CrottyWolf Pack (NYR)D1812392002971031010.00%1227515.28000112000031000.00%000000.2200000000
17Henry RybinskiWolf Pack (NYR)C/LW/RW4000-300030130.00%0307.500000000000000.00%100000.00%00000000
18David JiricekRangersD1000160131230.00%12222.430001900002000.00%000000.00%00000000
Team Total or Average265931592522262183035629053315240217.45%78431816.302035551005471231644113266.57%102000031.1700051141315
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
1Felix SandstromWolf Pack (NYR)1310210.8592.0775522261850000.00%0130000
2Garrett MetcalfWolf Pack (NYR)62200.9072.0629102101070000.00%0518000
Team Total or Average1912410.8772.071046243629200001818000


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 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
Aaron NessWolf Pack (NYR)D341990-05-18No183 Lbs5 ft10YesNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link / NHL Link
Ben JonesWolf Pack (NYR)C251999-02-26Yes187 Lbs6 ft0NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Link
Bokondji ImamaWolf Pack (NYR)LW281996-08-02No214 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Cameron CrottyWolf Pack (NYR)D251999-05-05No183 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$NoLink
David JiricekRangersD202003-11-28Yes189 Lbs6 ft3NoNoNo2Pro & Farm918,333$918,333$918,333$918,333$No918,333$Link
Dillon HeatheringtonWolf Pack (NYR)D291995-05-09Yes215 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLink / NHL Link
Drake CaggiulaWolf Pack (NYR)LW/RW301994-06-20No176 Lbs5 ft10NoNoNo1Pro & Farm850,000$850,000$0$0$NoLink / NHL Link
Felix SandstromWolf Pack (NYR)G271997-01-12No191 Lbs6 ft2NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Link
Garrett MetcalfWolf Pack (NYR)G281996-03-05No185 Lbs6 ft2NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Link
Gavin BayreutherWolf Pack (NYR)D301994-05-12No195 Lbs6 ft1YesNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link / NHL Link
Gavin WhiteWolf Pack (NYR)D212002-11-12Yes185 Lbs6 ft0NoNoNo3Pro & Farm857,500$857,500$0$0$No857,500$857,500$Link
Henry RybinskiWolf Pack (NYR)C/LW/RW232001-06-26Yes175 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$No
Kyle CapobiancoWolf Pack (NYR)D271997-08-13No196 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$0$0$NoLink / NHL Link
Kyle RauWolf Pack (NYR)C/LW/RW311992-10-24No176 Lbs5 ft8YesNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link / NHL Link
Luca Del Bel BelluzWolf Pack (NYR)C202003-11-10Yes179 Lbs6 ft1NoNoNo3Pro & Farm860,000$860,000$0$0$No860,000$860,000$Link
Michael VecchioneWolf Pack (NYR)C/RW311993-02-25No195 Lbs5 ft10NoNoNo1Pro & Farm775,000$775,000$0$0$NoLink
Nicholas CaamanoWolf Pack (NYR)RW261998-09-07Yes200 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLink
Ozzy WiesblattWolf Pack (NYR)RW222002-09-03Yes183 Lbs5 ft10NoNoNo2Pro & Farm835,833$835,833$0$0$No835,833$Link
Tanner KeroWolf Pack (NYR)C/LW321992-07-24No185 Lbs6 ft0NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Link / NHL Link
Tanner LaczynskiWolf Pack (NYR)C/RW271997-06-01Yes190 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLink
Vinni LettieriWolf Pack (NYR)C/RW291995-02-06No191 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2126.90189 Lbs6 ft01.62803,413$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake CaggiulaBen JonesMichael Vecchione40122
2Tanner KeroKyle RauVinni Lettieri30122
3Bokondji ImamaLuca Del Bel BelluzTanner Laczynski20122
4Henry RybinskiLuca Del Bel BelluzOzzy Wiesblatt10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoDillon Heatherington40122
2Aaron NessGavin Bayreuther30122
3Cameron CrottyGavin White20122
4Kyle CapobiancoDillon Heatherington10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake CaggiulaBen JonesMichael Vecchione60122
2Tanner KeroTanner LaczynskiVinni Lettieri40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoDillon Heatherington60122
2Aaron NessGavin Bayreuther40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael VecchioneDrake Caggiula60122
2Vinni LettieriTanner Kero40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoDillon Heatherington60122
2Aaron NessGavin Bayreuther40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Vecchione60122Kyle CapobiancoDillon Heatherington60122
2Vinni Lettieri40122Aaron NessGavin Bayreuther40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael VecchioneDrake Caggiula60122
2Vinni LettieriTanner Kero40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoDillon Heatherington60122
2Aaron NessGavin Bayreuther40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Drake CaggiulaBen JonesMichael VecchioneKyle CapobiancoDillon Heatherington
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Drake CaggiulaBen JonesMichael VecchioneKyle CapobiancoDillon Heatherington
Extra Forwards
Normal PowerPlayPenalty Kill
Tanner Kero, Ben Jones, Kyle RauTanner Kero, Ben JonesTanner Kero
Extra Defensemen
Normal PowerPlayPenalty Kill
Gavin Bayreuther, Cameron Crotty, Gavin WhiteGavin BayreutherGavin Bayreuther, Cameron Crotty
Penalty Shots
Drake Caggiula, Michael Vecchione, Vinni Lettieri, Tanner Laczynski, Tanner Kero
Goalie
#1 : Felix Sandstrom, #2 : Garrett Metcalf
Custom OT Lines Forwards
Drake Caggiula, Michael Vecchione, Vinni Lettieri, Tanner Laczynski, Tanner Kero, Ben Jones, Ben Jones, Kyle Rau, Luca Del Bel Belluz, Ozzy Wiesblatt, Bokondji Imama
Custom OT Lines Defensemen
Kyle Capobianco, Dillon Heatherington, Aaron Ness, Gavin Bayreuther, Cameron Crotty


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
1Canucks21100000550110000003121010000024-220.500510150040252803218217618303913343611218.18%8362.50%033450066.80%21337057.57%19128766.55%562432322102197111
2Comets2200000015015110000008081100000070741.00015243902402528077182176183020314504125.00%70100.00%133450066.80%21337057.57%19128766.55%562432322102197111
3Crunch220000001174110000006421100000053241.000111930004025280491821761830429223912541.67%11463.64%033450066.80%21337057.57%19128766.55%562432322102197111
4Griffins2200000016881100000064211000000104641.00016304600402528062182176183039740529666.67%15473.33%033450066.80%21337057.57%19128766.55%562432322102197111
5Ice Hogs2200000015114110000006151100000090941.0001530450140252809818217618301542236300.00%11190.91%033450066.80%21337057.57%19128766.55%562432322102197111
6Marlies211000003301010000012-11100000021120.500336004025280331821761830401542361715.88%14285.71%033450066.80%21337057.57%19128766.55%562432322102197111
7Monsters211000006331010000012-11100000051420.50061218004025280481821761830241724387228.57%110100.00%033450066.80%21337057.57%19128766.55%562432322102197111
8Rocket2010010058-31000010034-11010000024-210.2505914004025280371821761830589223413215.38%10280.00%033450066.80%21337057.57%19128766.55%562432322102197111
9Senators2200000017116110000008081100000091841.00017284501402528010518217618302052404125.00%110.00%033450066.80%21337057.57%19128766.55%562432322102197111
Total18134001009336579620010042182497200000511833270.75093165258044025280541182176183029782222361802025.00%881780.68%133450066.80%21337057.57%19128766.55%562432322102197111
_Since Last GM Reset18134001009336579620010042182497200000511833270.75093165258044025280541182176183029782222361802025.00%881780.68%133450066.80%21337057.57%19128766.55%562432322102197111
_Vs Conference16114001007835438520010036171986200000421824230.71978135213034025280443182176183028278200325772025.97%771679.22%133450066.80%21337057.57%19128766.55%562432322102197111
_Vs Division400000002131820000000927200000001211100.00021365702402528012518217618304420388811327.27%180100.00%133450066.80%21337057.57%19128766.55%562432322102197111

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1827L1931652585412978222236104
All Games
GPWLOTWOTL SOWSOLGFGA
1813401009336
Home Games
GPWLOTWOTL SOWSOLGFGA
96201004218
Visitor Games
GPWLOTWOTL SOWSOLGFGA
97200005118
Last 10 Games
WLOTWOTL SOWSOL
720100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
802025.00%881780.68%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
18217618304025280
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33450066.80%21337057.57%19128766.55%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
562432322102197111


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 - 2024-09-231Wolf Pack2Rocket4ALBoxScore
2 - 2024-09-2423Marlies2Wolf Pack1BLBoxScore
4 - 2024-09-2648Senators0Wolf Pack8BWBoxScore
6 - 2024-09-2867Comets0Wolf Pack8BWBoxScore
7 - 2024-09-2979Wolf Pack2Marlies1AWBoxScore
9 - 2024-10-01102Ice Hogs1Wolf Pack6BWBoxScore
10 - 2024-10-02112Wolf Pack9Senators1AWBoxScore
11 - 2024-10-03132Griffins4Wolf Pack6BWBoxScore
12 - 2024-10-04148Wolf Pack10Griffins4AWBoxScore
13 - 2024-10-05162Rocket4Wolf Pack3BLXBoxScore
14 - 2024-10-06169Wolf Pack7Comets0AWBoxScore
16 - 2024-10-08193Wolf Pack5Monsters1AWBoxScore
17 - 2024-10-09203Wolf Pack9Ice Hogs0AWBoxScore
18 - 2024-10-10217Monsters2Wolf Pack1BLBoxScore
20 - 2024-10-12235Crunch4Wolf Pack6BWBoxScore
22 - 2024-10-14263Canucks1Wolf Pack3BWBoxScore
24 - 2024-10-16273Wolf Pack5Crunch3AWBoxScore
25 - 2024-10-17288Wolf Pack2Canucks4ALBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price190
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,595,333$ 1,595,333$ 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$ 1 0$ 0$




Wolf Pack 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
1Jakob Pelletier7247631107512199128216.67%6121616.903111443000410049.0311.8123
2Benjamin Jones72446110579385715122719.38%12143719.968101839224136172.3761.4613
3Mike Vecchione7237589568576711120717.87%9127617.73109193602275270.4711.4900
4Dryden Hunt72235376711301687920311.33%10131318.24491321202153059.0001.1600
5Tanner Laczynski723341746924357318617.74%972610.10044200004070.2712.0401

Wolf Pack Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Louis Domingue71541150.8921.80420061312611700300.7789
2Garrett Metcalf40200.7714.891350011480000.00%0

Wolf Pack 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
20237250130242140013826236226024201957212336287000012056613911340070011000131511451005246783380082120121832286714192855017.54%3704986.76%81486205172.45%1077157368.47%818115870.64%223717211302420799446
Total Regular Season7250130242140013826236226024201957212336287000012056613911340070011000131511451005246783380082120121832286714192855017.54%3704986.76%81486205172.45%1077157368.47%818115870.64%223717211302420799446
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Wolf Pack 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

Wolf Pack Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA