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White Wolves
GP: 4 | W: 1 | L: 2 | OTL: 1 | P: 3
GF: 19 | GA: 20 | PP%: 33.33% | PK%: 66.67%
GM : Felix | Morale : 96 | Team Overall : N/A
Next Games #67 vs Roadrunners

Game Center
White Wolves
1-2-1, 3pts
4
FINAL
6 Bills
2-1-0, 4pts
Team Stats
L2StreakW2
0-1-1Home Record1-0-0
1-1-0Home Record1-1-0
1-2-1Last 10 Games2-1-0
4.75Goals Per Game5.67
5.00Goals Against Per Game5.00
33.33%Power Play Percentage30.00%
66.67%Penalty Kill Percentage41.67%
Gorillas
3-1-0, 6pts
5
FINAL
4 White Wolves
1-2-1, 3pts
Team Stats
W2StreakL2
2-0-0Home Record0-1-1
1-1-0Home Record1-1-0
3-1-0Last 10 Games1-2-1
5.00Goals Per Game4.75
4.50Goals Against Per Game5.00
33.33%Power Play Percentage33.33%
63.16%Penalty Kill Percentage66.67%
White Wolves
1-2-1, 3pts
Day 9
Roadrunners
1-2-0, 2pts
Team Stats
L2StreakL1
0-1-1Home Record1-1-0
1-1-0Away Record0-1-0
1-2-1Last 10 Games1-2-0
4.75Goals Per Game4.00
5.00Goals Against Per Game4.00
33.33%Power Play Percentage46.67%
66.67%Penalty Kill Percentage58.33%
White Wolves
1-2-1, 3pts
Day 11
Redhawks
1-2-0, 2pts
Team Stats
L2StreakL2
0-1-1Home Record1-0-0
1-1-0Away Record0-2-0
1-2-1Last 10 Games1-2-0
4.75Goals Per Game3.00
5.00Goals Against Per Game3.00
33.33%Power Play Percentage5.88%
66.67%Penalty Kill Percentage80.00%
Gorillas
3-1-0, 6pts
Day 12
White Wolves
1-2-1, 3pts
Team Stats
W2StreakL2
2-0-0Home Record0-1-1
1-1-0Away Record1-1-0
3-1-0Last 10 Games1-2-1
5.00Goals Per Game4.75
4.50Goals Against Per Game4.75
33.33%Power Play Percentage33.33%
63.16%Penalty Kill Percentage66.67%
Team Leaders
Goals
Ethen Frank
4
Assists
Zach Dean
5
Points
Ethen Frank
6
Plus/Minus
Adam Sykora
3
Wins
Joel Blomqvist
1
Save Percentage
Matt Villalta
0.872

Team Stats
Goals For
19
4.75 GFG
Shots For
168
42.00 Avg
Power Play Percentage
33.3%
8 GF
Offensive Zone Start
39.9%
Goals Against
20
5.00 GAA
Shots Against
155
38.75 Avg
Penalty Kill Percentage
66.7%%
7 GA
Defensive Zone Start
34.0%
Team Info

General ManagerFelix
CoachBob Boughner
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance8,000
Season Tickets800


Roster Info

Pro Team41
Farm Team20
Contract Limit61 / 65
Prospects17


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
1Angus CrookshankXX100.0063509070697692656165666865526009500251826,875$
2Jan MysakXXX100.00606060606070706060606060605260097002221,378,125$
3Ethen FrankXXX100.00645093777177877261677067654559096002611,250,000$
4Owen LindmarkX100.0060606060607070606060606060405509600232866,250$
5Zach DeanX100.00606060606070706060606060604055093002111,500,000$
6Josh BloomXX100.0060606060607070606060606060405509600211975,000$
7Francesco PinelliX100.00606060606070706060606060604055095002111,250,000$
8Adam SykoraXXX100.00606060606070706060606060604055096002011,250,000$
9Kalle VaisanenXX100.0060606060607070606060606060405509601212975,000$
10Luca PinelliX100.0060606060607070606060606060405509701192825,000$
11Mathieu CatafordXX100.0060606060607070606060606060405509601192975,000$
12Gabriel Perreault (R)X100.00606060606070706060606060604455088001931,500,000$
13Domenick FensoreX100.0064509071668692632564627365405509700232866,250$
14Tyson GallowayX100.0060606060607070606060606060405509601212825,000$
15Oliver BonkX100.00606060606070706060606060604055095011921,500,000$
16Etienne MorinX100.00606060606070706060606060604055093011921,250,000$
17Sam Rinzel (R)X100.00606060606070706060606060604455096002031,250,000$
18Artyom Levshunov (R)X100.00625084707987926825706771654455096001931,500,000$
Scratches
1Dylan HryckowianX100.0060606060607070606060606060445709500201650,000$
2Evan VierlingX100.0060606060607070606060606060405509500221825,000$
3James HardieX100.0060606060607070606060606060405509500221650,000$
4Jayden GrubbeX100.00606060606070706060606060604055095002111,250,000$
5Aaron HuglenXXX100.0060606060607070606060606060405509501231975,000$
6Jackson KunzX100.0060606060607070606060606060405509501221825,000$
7Oliver KapanenX91.60605094667477756964666567684055083012121,250,000$
8Justin Janicke (R)XX100.0060606060607070606060606060485509500212650,000$
9Emil Jarventie (R)X100.0060606060607070606060606060445509500193700,000$
10Ethan Miedema (R)XX100.0060606060607070606060606060485509500193825,000$
11Adam Jecho (R)XX100.0060606060607070606060606060445509500183975,000$
12Owen Allard (R)XX100.0060606060607070606060606060485509500203750,000$
13Oscar PlandowskiX100.0060606060607070606060606060405509500211750,000$
14Michael BuchingerX100.0060606060607070606060606060405509500201975,000$
15Samuel JohannessonX100.0060606060607070606060606060405509501241700,000$
16Jake FurlongX100.0060606060607070606060606060405509501202750,000$
17Hank Kempf (R)X100.0060606060607070606060606060485509500222650,000$
18Ryan Chesley (R)X100.00606060606070706060606060604655095002031,250,000$
19Carter Sotheran (R)X100.0060606060607070606060606060465509500193825,000$
TEAM AVERAGE99.766059646162717261586161616143550950
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
1Joel Blomqvist100.0062767181766368657361714055096002211,250,000$
2Nolan Lalonde100.006070706060606060606060405509700201650,000$
Scratches
1Adam Scheel100.006070706060606060606060536409700252682,500$
2Matt Villalta90.6260707060606060606060605767086002521,647,160$
TEAM AVERAGE97.50617270656461626163606348600940
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Boughner6775698469731CAN544600,000$


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
1Ethen FrankWhite Wolves (CHI)C/LW/RW4426-200552131219.05%37418.66123714000000050.00%491001.6100000001
2Zach DeanWhite Wolves (CHI)C4055295648440%16215.60022214000000057.97%6911001.6000010000
3Marc GatcombBlackhawksC/LW/RW32350006293322.22%25016.68224413000000033.33%330002.0000000000
4Oliver BonkWhite Wolves (CHI)D4134031155571014.29%77518.8811211400003000%014001.0600210000
5Gabriel PerreaultWhite Wolves (CHI)RW33141391551100430.00%14314.60112213000000075.00%421001.8300102000
6Artyom LevshunovWhite Wolves (CHI)D4134-2003218365.56%38822.15123513000111000%012000.9000000100
7Domenick FensoreWhite Wolves (CHI)D4123-2553663416.67%88822.10123214000012100%011000.6800100001
8Josh BloomWhite Wolves (CHI)LW/RW4123-10077103610.00%55614.00000000112120071.43%732001.0700000001
9Oliver KapanenWhite Wolves (CHI)C4033-155159160%26215.61011414000000054.05%7411000.9600010000
10Tyson GallowayWhite Wolves (CHI)D42131951764133.33%78521.3611221600003000%011000.7000001000
11Etienne MorinWhite Wolves (CHI)D4033-11715363230%107318.2800000011010000%011000.8200012000
12Adam SykoraWhite Wolves (CHI)C/LW/RW4202395771861011.11%17719.280003141014120051.61%3121000.5200001010
13Kalle VaisanenWhite Wolves (CHI)LW/RW4022-140704260%25714.2500000000111000%221000.7000000000
14Angus CrookshankWhite Wolves (CHI)LW/RW1011100127140%01717.280001000000000%001001.1600000000
15Jan MysakWhite Wolves (CHI)C/LW/RW4101-139355352420.00%04912.3700000000040014.29%711000.4000205000
16Owen LindmarkWhite Wolves (CHI)C4101-30023102610.00%0379.2800000000000043.75%3200000.5400000000
17Luca PinelliWhite Wolves (CHI)C4011-119541410050%15614.05011210000110045.71%7014000.3600100000
18Francesco PinelliWhite Wolves (CHI)C1000-100201110%01515.950000000000000%00000000000000
19Mathieu CatafordWhite Wolves (CHI)LW/RW4000-255516220%0317.760000000000000%01000000001000
20Sam RinzelWhite Wolves (CHI)D400002410120320%16817.0400001000010000%01000000002000
Team Total or Average72193251-102151257982168468911.31%54116916.25815233514912381041050.83%3033223000.87007414113
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
1Joel BlomqvistWhite Wolves (CHI)31110.8704.80175401410852100022000
2Matt VillaltaWhite Wolves (CHI)20100.8725.63640064724000022000
Team Total or Average51210.8715.0223940201557610044000


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aaron HuglenWhite Wolves (CHI)C/LW/RW232001-03-06USANo170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Adam JechoWhite Wolves (CHI)C/RW182006-03-24CZEYes201 Lbs6 ft3NoNoDraftNoNo32025-08-21FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Adam ScheelWhite Wolves (CHI)G251999-05-01USANo192 Lbs6 ft3NoNoFree AgentNoNo22025-09-13FalseFalsePro & Farm682,500$657,088$68,250$65,709$No682,500$--------682,500$--------No--------
Adam SykoraWhite Wolves (CHI)C/LW/RW202004-09-07SVKNo172 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Angus CrookshankWhite Wolves (CHI)LW/RW251999-10-02CANNo183 Lbs5 ft10NoNoN/ANoNo12025-09-13FalseFalsePro & Farm826,875$796,087$82,688$79,609$No---------------------------
Artyom LevshunovWhite Wolves (CHI)D192005-10-28BLRYes208 Lbs6 ft2NoNoDraftNoNo32025-08-21FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Carter SotheranWhite Wolves (CHI)D192005-06-26CANYes198 Lbs6 ft2NoNoProspectNoNo32025-08-21FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Domenick FensoreWhite Wolves (CHI)D232001-09-07USANo175 Lbs5 ft9NoNoN/ANoNo22025-09-13FalseFalsePro & Farm866,250$833,996$86,625$83,400$No866,250$--------866,250$--------No--------
Dylan HryckowianWhite Wolves (CHI)RW202004-05-19CANNo170 Lbs5 ft8NoNoAssign ManuallyNoNo12025-11-25FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Emil JarventieWhite Wolves (CHI)LW192005-04-04FINYes168 Lbs5 ft8NoNoProspectNoNo32025-08-21FalseFalsePro & Farm700,000$673,936$70,000$67,394$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Ethan MiedemaWhite Wolves (CHI)LW/RW192005-03-22CANYes212 Lbs6 ft2NoNoProspectNoNo32025-08-21FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Ethen FrankWhite Wolves (CHI)C/LW/RW261998-02-05USANo188 Lbs5 ft11NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Etienne MorinWhite Wolves (CHI)D192005-03-09CANNo185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$--------1,250,000$--------No--------
Evan VierlingWhite Wolves (CHI)C222002-06-20CANNo183 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm825,000$794,282$82,500$79,428$No---------------------------
Francesco PinelliWhite Wolves (CHI)C212003-04-11CANNo185 Lbs7 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Gabriel PerreaultWhite Wolves (CHI)RW192005-05-07CANYes179 Lbs5 ft9NoNoProspectNoNo32025-08-21FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Hank KempfWhite Wolves (CHI)D222002-04-15USAYes201 Lbs6 ft0NoNoProspectNoNo22025-08-21FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Jackson KunzWhite Wolves (CHI)C222002-08-13USANo227 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm825,000$794,282$82,500$79,428$No---------------------------
Jake FurlongWhite Wolves (CHI)D202004-03-04CANNo201 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
James HardieWhite Wolves (CHI)LW222002-01-18CANNo180 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Jan MysakWhite Wolves (CHI)C/LW/RW222002-06-24CZENo176 Lbs6 ft0NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,378,125$1,326,812$137,812$132,681$No1,378,125$--------1,378,125$--------No--------
Jayden GrubbeWhite Wolves (CHI)C212003-01-12CANNo191 Lbs7 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Joel BlomqvistWhite Wolves (CHI)G222002-01-10FINNo200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Josh BloomWhite Wolves (CHI)LW/RW212003-06-08CANNo188 Lbs6 ft11NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Justin JanickeWhite Wolves (CHI)C/LW212003-06-30USAYes187 Lbs5 ft10NoNoProspectNoNo22025-08-21FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Kalle VaisanenWhite Wolves (CHI)LW/RW212003-01-28FINNo194 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Luca PinelliWhite Wolves (CHI)C192005-04-05CANNo168 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Mathieu CatafordWhite Wolves (CHI)LW/RW192005-03-01CANNo190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Matt Villalta (Out of Payroll)White Wolves (CHI)G251999-06-03CANNo165 Lbs6 ft3NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,647,160$1,585,830$164,716$158,583$No1,647,160$--------1,647,160$--------No--------
Michael BuchingerWhite Wolves (CHI)D202004-04-25CANNo183 Lbs7 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Nolan LalondeWhite Wolves (CHI)G202004-02-14CANNo185 Lbs7 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Oliver BonkWhite Wolves (CHI)D192005-01-09CANNo179 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
Oliver Kapanen (Out of Payroll)White Wolves (CHI)C212003-07-29FINNo194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$--------1,250,000$--------No--------
Oscar PlandowskiWhite Wolves (CHI)D212003-05-18CANNo183 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Owen AllardWhite Wolves (CHI)C/LW202004-01-13CANYes187 Lbs6 ft0NoNoDraftNoNo32025-08-21FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Owen LindmarkWhite Wolves (CHI)C232001-05-17USANo183 Lbs7 ft3NoNoN/ANoNo22025-09-13FalseFalsePro & Farm866,250$833,996$86,625$83,400$No866,250$--------866,250$--------No--------
Ryan ChesleyWhite Wolves (CHI)D202004-02-27USAYes194 Lbs5 ft10NoNoProspectNoNo32025-08-21FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Sam RinzelWhite Wolves (CHI)D202004-06-25USAYes190 Lbs6 ft2NoNoProspectNoNo32025-08-21FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Samuel JohannessonWhite Wolves (CHI)D242000-12-27SWENo176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Tyson GallowayWhite Wolves (CHI)D212003-01-20CANNo201 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Zach DeanWhite Wolves (CHI)C212003-01-04CANNo176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4121.07187 Lbs6 ft31.801,005,297$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ethen FrankFrancesco PinelliGabriel Perreault28122
2Adam SykoraZach DeanAngus Crookshank28122
3Kalle VaisanenLuca PinelliJan Mysak25122
4Josh BloomOwen LindmarkMathieu Cataford19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Artyom LevshunovDomenick Fensore34122
2Etienne MorinSam Rinzel33122
3Tyson GallowayOliver Bonk33122
4Tyson GallowayOliver Bonk0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ethen FrankFrancesco PinelliGabriel Perreault50122
2Adam SykoraZach DeanAngus Crookshank50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Artyom LevshunovDomenick Fensore50122
2Oliver BonkTyson Galloway50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Luca PinelliKalle Vaisanen50122
2Adam SykoraJosh Bloom50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Artyom LevshunovDomenick Fensore50122
2Etienne MorinSam Rinzel50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Francesco Pinelli50122Artyom LevshunovDomenick Fensore50122
2Luca Pinelli50122Etienne MorinSam Rinzel50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Owen LindmarkEthen Frank50122
2Adam SykoraJan Mysak50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Etienne MorinSam Rinzel50122
2Oliver BonkTyson Galloway50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ethen FrankFrancesco PinelliGabriel PerreaultArtyom LevshunovDomenick Fensore
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kalle VaisanenLuca PinelliFrancesco PinelliArtyom LevshunovDomenick Fensore
Extra Forwards
Normal PowerPlayPenalty Kill
Josh Bloom, Jan Mysak, Luca PinelliLuca Pinelli, Owen LindmarkAdam Sykora
Extra Defensemen
Normal PowerPlayPenalty Kill
Tyson Galloway, Oliver Bonk, Etienne MorinSam RinzelOliver Bonk, Tyson Galloway
Penalty Shots
Adam Sykora, Angus Crookshank, Ethen Frank, Luca Pinelli, Kalle Vaisanen
Goalie
#1 : Joel Blomqvist, #2 : Nolan Lalonde, #3 : 0


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
1Bills1010000046-2000000000001010000046-200.0004711007750385868420401397234250.00%6266.67%05412144.63%5310351.46%477959.49%884980377235
2Blood Miners11000000633000000000001100000063321.00061016007750515868420368311510330.00%20100.00%15412144.63%5310351.46%477959.49%884980377235
3Bulldogs1000010056-11000010056-10000000000010.5005914007750395868420452141219333.33%8450.00%05412144.63%5310351.46%477959.49%884980377235
4Gorillas1010000045-11010000045-10000000000000.000461000775040586842034125020100.00%5180.00%05412144.63%5310351.46%477959.49%884980377235
Total412001001920-120100100911-221100000109130.3751932510077501685868420155542197924833.33%21766.67%15412144.63%5310351.46%477959.49%884980377235
_Since Last GM Reset412001001920-120100100911-221100000109130.3751932510077501685868420155542197924833.33%21766.67%15412144.63%5310351.46%477959.49%884980377235
_Vs Conference412001001920-120100100911-221100000109130.3751932510077501685868420155542197924833.33%21766.67%15412144.63%5310351.46%477959.49%884980377235
_Vs Division2120010011921010010056-11110000063330.7501119300077509058684208129723619631.58%10460.00%15412144.63%5310351.46%477959.49%884980377235

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
43L2193251168155542197900
All Games
GPWLOTWOTL SOWSOLGFGA
41201001920
Home Games
GPWLOTWOTL SOWSOLGFGA
2010100911
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2110000109
Last 10 Games
WLOTWOTL SOWSOL
120100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
24833.33%21766.67%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
58684207750
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
5412144.63%5310351.46%477959.49%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
884980377235


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
15White Wolves6Blood Miners3WBoxScore
320Bulldogs6White Wolves5LXBoxScore
425White Wolves4Bills6LBoxScore
752Gorillas5White Wolves4LBoxScore
967White Wolves-Roadrunners-
1183White Wolves-Redhawks-
1290Gorillas-White Wolves-
15113Griffins-White Wolves-
17129White Wolves-Roadrunners-
19142White Wolves-Bills-
21154Bulldogs-White Wolves-
23171White Wolves-Crunch-
26189Gorillas-White Wolves-
29208Rocket-White Wolves-
31219White Wolves-Bulldogs-
33233White Wolves-Roadrunners-
35244White Wolves-Reign-
36255Griffins-White Wolves-
40282Rocket-White Wolves-
43297White Wolves-Octopus-
45315Silver Knights-White Wolves-
47329White Wolves-Rams-
49343Norsemen-White Wolves-
51353White Wolves-Rocket-
53373Redhawks-White Wolves-
55392White Wolves-Phantoms-
57407Octopus-White Wolves-
60427White Wolves-Blossom Bytes-
62441Silver Knights-White Wolves-
64457White Wolves-Bills-
66469White Wolves-Blood Miners-
68478Blossom Bytes-White Wolves-
71499White Wolves-Senators-
72508Reign-White Wolves-
75528White Wolves-Saints-
77541Roadrunners-White Wolves-
79557White Wolves-Reign-
81568White Wolves-Silver Knights-
82576Moose-White Wolves-
85594White Wolves-Bulldogs-
87608Bulldogs-White Wolves-
90633Gulls-White Wolves-
92645White Wolves-Octopus-
94665Gorillas-White Wolves-
95676White Wolves-Admirals-
98692White Wolves-Wolf Pack-
99703Americans-White Wolves-
102718White Wolves-Griffins-
104735Mountaineers-White Wolves-
106747White Wolves-Redhawks-
108764Griffins-White Wolves-
110780White Wolves-Griffins-
112795Crunch-White Wolves-
116825Crunch-White Wolves-
117830White Wolves-Gorillas-
121858Roadrunners-White Wolves-
123873White Wolves-Roadrunners-
124886White Wolves-Titans-
126895Whalers-White Wolves-
128912White Wolves-Eagles-
129927Bulldogs-White Wolves-
133953White Wolves-Crunch-
134959Saints-White Wolves-
138983White Wolves-Grisards-
139992Rams-White Wolves-
1421012White Wolves-Penguins-
1431022Wolves-White Wolves-
1471050Saints-White Wolves-
1491070White Wolves-Redhawks-
1511083White Wolves-Crunch-
1521087Bills-White Wolves-
1551112White Wolves-Mountaineers-
1561118Bills-White Wolves-
1601148Eagles-White Wolves-
1641173Wolves-White Wolves-
1661189White Wolves-Blood Miners-
Trade Deadline --- Trades can’t be done after this day is simulated!
1691211Blood Miners-White Wolves-
1701216White Wolves-Bears-
1751244Eagles-White Wolves-
1791269Blood Miners-White Wolves-
1831290Mountaineers-White Wolves-
1851304White Wolves-Gorillas-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price3212
Attendance5,00011,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 8000 - 100.00% 175,200$350,400$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
177,191$ 3,832,000$ 3,832,000$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
23,574$ 177,191$ 39 2

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
6,832,800$ 181 23,574$ 4,266,894$




White Wolves Players 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

White Wolves Goalies Stat Leaders (Regular Season)

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

White 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

White Wolves Players 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

White Wolves Goalies Stat Leaders (Play-Off)

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