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Wheeling Nailers
GP: 29 | W: 9 | L: 16 | OTL: 4 | P: 22
GF: 71 | GA: 96 | PP%: 27.27% | PK%: 64.00%
GM : Matt Myers | Morale : 27 | Team Overall : 53
Next Games #260 vs Greenville Swamp Rabbits
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Game Center
Wheeling Nailers
9-16-4, 22pts
4
FINAL
3 Lillehammer IK
21-3-4, 46pts
Team Stats
L1StreakW1
4-9-1Home Record10-2-2
5-7-3Home Record11-1-2
3-5-2Last 10 Games8-1-1
2.45Goals Per Game4.71
3.31Goals Against Per Game2.21
27.27%Power Play Percentage22.73%
64.00%Penalty Kill Percentage78.89%
O'Fallon Madcats
11-14-5, 27pts
4
FINAL
3 Wheeling Nailers
9-16-4, 22pts
Team Stats
W2StreakL1
3-10-1Home Record4-9-1
8-4-4Home Record5-7-3
5-4-1Last 10 Games3-5-2
2.30Goals Per Game2.45
2.67Goals Against Per Game3.31
35.06%Power Play Percentage27.27%
75.73%Penalty Kill Percentage64.00%
Wheeling Nailers
9-16-4, 22pts
Day 45
Greenville Swamp Rabbits
13-10-5, 31pts
Team Stats
L1StreakW1
4-9-1Home Record4-7-3
5-7-3Away Record9-3-2
3-5-2Last 10 Games3-6-1
2.45Goals Per Game3.00
3.31Goals Against Per Game3.00
27.27%Power Play Percentage29.33%
64.00%Penalty Kill Percentage67.21%
IUP Crimson Hawks
16-11-1, 33pts
Day 47
Wheeling Nailers
9-16-4, 22pts
Team Stats
W1StreakL1
10-5-0Home Record4-9-1
6-6-1Away Record5-7-3
7-2-1Last 10 Games3-5-2
3.21Goals Per Game2.45
2.86Goals Against Per Game2.45
35.23%Power Play Percentage27.27%
79.01%Penalty Kill Percentage64.00%
Wheeling Nailers
9-16-4, 22pts
Day 48
Sudbury Wolves
16-11-1, 33pts
Team Stats
L1StreakOTL1
4-9-1Home Record9-5-1
5-7-3Away Record7-6-0
3-5-2Last 10 Games5-4-1
2.45Goals Per Game2.29
3.31Goals Against Per Game2.29
27.27%Power Play Percentage22.06%
64.00%Penalty Kill Percentage81.97%
Team Leaders
Goals
Alexander Holtz
11
Assists
Luke Hughes
31
Points
Luke Hughes
42
Plus/Minus
Luke Tuch
2
Wins
Ivan Prosvetov
8
Save Percentage
Ivan Prosvetov
0.868

Team Stats
Goals For
71
2.45 GFG
Shots For
690
23.79 Avg
Power Play Percentage
27.3%
27 GF
Offensive Zone Start
39.6%
Goals Against
96
3.31 GAA
Shots Against
730
25.17 Avg
Penalty Kill Percentage
64.0%%
27 GA
Defensive Zone Start
36.6%
Team Info

General ManagerMatt Myers
CoachDan Bylsma
DivisionAdams
ConferenceWest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team33
Farm Team20
Contract Limit53 / 250
Prospects12


Team History

This Season9-16-4 (22PTS)
History0-0-0


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PriorityTypeDescription
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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
1Radek Faksa0X100.006435927886748960786260767068730267103023,250,000$
2Alexander Holtz (R)0XX100.00493595797572995955616659724556034650226918,333$
3Tyler Boucher (R)0X100.00656555656856566149665761564545035600216863,334$
4Martin Kaut (R)0X100.00607368656151475857496857534848037570252775,000$
5Gavin Brindley (R)0X100.00403599756574605055414150604552035540206950,000$
6Dans Locmelis (R)0X100.005050505050505050505050505050500335002010775,000$
7Paul Ludwinski (R)0X100.005050505050505050505050505050500215002010775,000$
8Reid Schaefer (R)0X100.00566851466745496153425241524545021500216886,666$
9Ryan McAllister (R)0XXX100.005050505050505050505050505050500215002210775,000$
10Simon Robertson (R)0X100.005050505050505050505050505050500275002110775,000$
11Topi Ronni (R)0X100.005050505050505050505050505050500235002010775,000$
12Zion Nybeck (R)0XXX100.005050505050505050505050505050500255002210775,000$
13Alexander Suzdalev (R)0X100.005050505050505050505050505050500365002010775,000$
14Luke Hughes (R)0X100.00543590866794997640806369664563035740216925,000$
15Ryker Evans (R)0X100.00653585817489606940624979595673035730274800,000$
16Scott Perunovich (R)0X100.005135938066806565406949655852670286702621,150,000$
17Logan Mailloux (R)0X100.00413599887993607340743853574563035660212775,000$
18Nolan Allan (R)0X100.005050505050505050505050505050500305002110775,000$
19Ryan Chesley (R)0X100.005050505050505050505050505050500245002010775,000$
Scratches
1Frank Nazar0X100.00403599816582605055415750664556024570206838,333$
2Rem Pitlick0XX100.00443593797181605055414150605670020560276838,333$
3Jacob Melanson (R)0X100.005050505050505050505050505050500255002110775,000$
4Jimmy Snuggerud (R)0X100.005050505050505050505050505050500195002010775,000$
5Luke Tuch (R)0X100.005050505050505050505050505050500235002210775,000$
6Matthew Coronato (R)0XX100.005050505050505050505050505050500255002110775,000$
7Matthew Savoie (R)0X100.005050505050505050505050505050500195002010775,000$
8Sean Farrell (R)0X100.00557547486547695547454747524545019500226897,500$
9Jakub Stancl (R)0XX100.0011111111111111102010191775,000$
10Jere Innala (R)0X100.0011111111111111102010261775,000$
11Mattias Havelid (R)0X100.005050505050505050505050505050500205002010775,000$
12Noah Warren (R)0X100.005050505050505050505050505050500195002010775,000$
TEAM AVERAGE100.0048456057555654514750485051475002652
Filter Tips
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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")
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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
1Ivan Prosvetov (R)0100.0083657690757880778080725045042750256793,333$
2Eetu Makiniemi (R)0100.0067485253565348705160536355040560252775,000$
Scratches
TEAM AVERAGE100.007557647266666474667063575004166
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dan Bylsma80808080808080USA5871,000,000$


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
1Luke HughesWheeling Nailers (TB )D29113142-12804764105384210.48%5182528.48910192688011058200%03029001.0200000233
2Radek FaksaWheeling Nailers (TB )C23101424-840376389254611.24%1752822.98381111500000391056.92%506158100.9101000202
3Alexander HoltzWheeling Nailers (TB )LW/RW2811819-520405575274814.67%1464222.9342614670001431038.98%592212010.5901000221
4Tyler BoucherWheeling Nailers (TB )RW29811191340753458223313.79%1062021.412576771011240135.71%70814000.6112000112
5Ryker EvansWheeling Nailers (TB )D2921214-1410038605726283.51%3976226.28033980000049000%01327000.3700000000
6Ondrej PalatTampa Bay LightningLW/RW8551030012142861417.86%314918.691124100000131052.38%4262011.3400000110
7Rem PitlickWheeling Nailers (TB )C/LW826800092153240.00%317421.77033223000070046.45%18322000.9200000010
8Martin KautWheeling Nailers (TB )RW29718-153410604055193612.73%855819.244041365000032040.74%2778000.2900002001
9Frank NazarWheeling Nailers (TB )C22538-100014402881417.86%534415.65022430011180041.40%18662000.4600000011
10Logan MaillouxWheeling Nailers (TB )D29448-70074039171310.26%2255419.13325938000027000%0418000.2900000001
11Thomas HarleyTampa Bay LightningD10156-300923441292.27%2630730.72022829000320000%088000.3900000000
12Scott PerunovichWheeling Nailers (TB )D26145-79520432212114.55%3156021.56112135000021000%0820000.1800100000
13Gavin BrindleyWheeling Nailers (TB )C29134-11003138298113.45%1055619.19022452000060047.16%229514000.1400000000
14Dans LocmelisWheeling Nailers (TB )C2102216014128050%01738.2700015000090047.22%3603000.2300000000
15Luke TuchWheeling Nailers (TB )LW62022002330266.67%1457.61000000000110100.00%120000.8800000001
16Zion NybeckWheeling Nailers (TB )C/LW/RW29202-72610383353540.00%231710.9400000000000163.64%1128000.1300110000
17Alexander SuzdalevWheeling Nailers (TB )LW29112-81754535148137.14%641214.210000220000120050.63%7926000.1000001000
18Jacob MelansonWheeling Nailers (TB )RW6011000420010%0335.610000100000000%000000.5900000000
19Jimmy SnuggerudWheeling Nailers (TB )RW40112406153100%15012.7000000000000033.33%311000.3900000000
20Paul LudwinskiWheeling Nailers (TB )C22011-410028177280%424511.170001130000140046.59%8800000.0800000000
21Ryan ChesleyWheeling Nailers (TB )D23011-617513256040%1031113.56011125000012000%0110000.0600001000
22Casey CizikasTampa Bay LightningC4000-200237320%14210.6600002000000069.23%392100000000000
23Noel AcciariTampa Bay LightningC4000000000000%000.070000000000000%00000000000000
24Sammy BlaisTampa Bay LightningLW4000000110000%020.650000000000000%00000000000000
25Matthew CoronatoWheeling Nailers (TB )LW/RW10000-3201526130%1858.58000214000110025.00%40000000000000
26Matthew SavoieWheeling Nailers (TB )C4000-200300010%0133.3600002000000016.67%60000000000000
27Mattias HavelidWheeling Nailers (TB )D7000055591110%59313.380000100005000%01300000010000
28Noah WarrenWheeling Nailers (TB )D1000000000000%022.250000000000000%00000000000000
29Nolan AllanWheeling Nailers (TB )D20000-120120000%0844.240000000002000%00100000000000
30Reid SchaeferWheeling Nailers (TB )LW15000-100441040%0825.520000100001100100.00%10100000000000
31Ryan McAllisterWheeling Nailers (TB )C/LW/RW15000-100622100%0593.9300012000000066.67%30100000000000
32Simon RobertsonWheeling Nailers (TB )RW16000000110000%080.520000000000000%10000000000000
33Topi RonniWheeling Nailers (TB )C21000-120221010%0140.7100000000000050.00%20000000000000
Team Total or Average56073114187-1191924058968970024536710.43%270866515.4727426911774712373988249.43%1576145199120.43142248912
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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
1Ivan ProsvetovWheeling Nailers (TB )2581420.8683.1814920179599279111.0002254011
2Eetu MakiniemiWheeling Nailers (TB )10010.8332.4025001630000025000
Team Total or Average2681430.8683.16151701806052821122529011


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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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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
Alexander HoltzWheeling Nailers (TB )LW/RW222002-01-23Yes195 Lbs6 ft0NoNoN/ANoNo62024-07-02FalseFalsePro & Farm918,333$0$0$No918,333$918,333$918,333$918,333$918,333$----918,333$918,333$918,333$918,333$918,333$925,000$925,000$925,000$925,000$NoNoNoNoNo----Link
Alexander SuzdalevWheeling Nailers (TB )LW202004-03-05Yes176 Lbs6 ft2NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Dans LocmelisWheeling Nailers (TB )C202004-01-21Yes170 Lbs6 ft0NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Eetu MakiniemiWheeling Nailers (TB )G251999-04-19Yes184 Lbs6 ft2NoNoN/ANoNo22024-07-02FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$867,500$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$-No--------Link
Frank NazarWheeling Nailers (TB )C202004-01-14No175 Lbs5 ft9NoNoN/ANoNo62024-07-02FalseFalsePro & Farm838,333$0$0$No838,333$838,333$838,333$838,333$838,333$----838,333$838,333$838,333$838,333$838,333$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNo----
Gavin BrindleyWheeling Nailers (TB )C202004-10-05Yes175 Lbs5 ft9NoNoProspectNoNo62024-07-02FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$950,000$950,000$----950,000$950,000$950,000$950,000$950,000$----NoNoNoNoNo----Link
Ivan ProsvetovWheeling Nailers (TB )G251999-03-05Yes195 Lbs6 ft5NoNoN/ANoNo62024-07-02FalseFalsePro & Farm793,333$0$0$No793,333$793,333$793,333$793,333$793,333$----793,333$793,333$793,333$793,333$793,333$1,000,000$1,000,000$1,000,000$-NoNoNoNoNo----Link
Jacob MelansonWheeling Nailers (TB )RW212003-04-22Yes205 Lbs6 ft1NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Jakub StanclWheeling Nailers (TB )C/LW192005-04-10Yes100 Lbs4 ft0NoNoProspectNoNo12024-07-19FalseFalsePro & Farm775,000$0$0$No---------------------------
Jere InnalaWheeling Nailers (TB )RW261998-03-17Yes100 Lbs4 ft0NoNoProspectNoNo12024-07-19FalseFalsePro & Farm775,000$0$0$No---------------------------
Jimmy SnuggerudWheeling Nailers (TB )RW202004-06-01Yes187 Lbs6 ft2NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Logan MaillouxWheeling Nailers (TB )D212003-04-15Yes220 Lbs6 ft3NoNoN/ANoNo22024-07-02FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$No--------
Luke HughesWheeling Nailers (TB )D212003-09-09Yes184 Lbs6 ft2NoNoN/ANoNo62024-07-02FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$925,000$925,000$----925,000$925,000$925,000$925,000$925,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNo----
Luke TuchWheeling Nailers (TB )LW222002-03-07Yes203 Lbs6 ft2NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Martin KautWheeling Nailers (TB )RW251999-10-02Yes190 Lbs6 ft2NoNoN/ANoNo22024-07-02FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$863,333$863,333$863,333$863,333$863,333$863,333$863,333$863,333$No--------Link
Matthew CoronatoWheeling Nailers (TB )LW/RW212002-11-14Yes183 Lbs5 ft10NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Matthew SavoieWheeling Nailers (TB )C202004-01-01Yes179 Lbs5 ft9NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Mattias HavelidWheeling Nailers (TB )D202004-01-01Yes172 Lbs5 ft10NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Noah WarrenWheeling Nailers (TB )D202004-07-15Yes225 Lbs6 ft5NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Nolan AllanWheeling Nailers (TB )D212003-04-28Yes194 Lbs6 ft2NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Paul LudwinskiWheeling Nailers (TB )C202004-04-23Yes172 Lbs5 ft11NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Radek FaksaWheeling Nailers (TB )C301994-01-09No225 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-29FalseFalsePro & Farm3,250,000$0$0$No3,250,000$--------3,250,000$3,250,000$3,250,000$3,250,000$3,250,000$3,250,000$3,250,000$3,250,000$3,250,000$No--------Link / NHL Link
Reid SchaeferWheeling Nailers (TB )LW212003-09-21Yes213 Lbs6 ft3NoNoN/ANoNo62024-07-02FalseFalsePro & Farm886,666$0$0$No886,666$886,666$886,666$886,666$886,666$----886,666$886,666$886,666$886,666$886,666$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNo----
Rem PitlickWheeling Nailers (TB )C/LW271997-04-02No186 Lbs5 ft11NoNoN/ANoNo62024-07-02FalseFalsePro & Farm838,333$0$0$No838,333$838,333$838,333$838,333$838,333$----838,333$838,333$838,333$838,333$838,333$917,831$917,831$917,831$917,831$NoNoNoNoNo----Link / NHL Link
Ryan ChesleyWheeling Nailers (TB )D202004-01-27Yes201 Lbs6 ft0NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Ryan McAllisterWheeling Nailers (TB )C/LW/RW222001-12-19Yes183 Lbs5 ft10NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Ryker EvansWheeling Nailers (TB )D271997-08-16Yes189 Lbs5 ft11NoNoN/ANoNo42024-07-02FalseFalsePro & Farm800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNo------Link
Scott PerunovichWheeling Nailers (TB )D261998-08-18Yes175 Lbs5 ft10NoNoN/ANoNo22024-07-02FalseFalsePro & Farm1,150,000$0$0$No1,150,000$--------1,150,000$950,000$950,000$950,000$950,000$950,000$950,000$950,000$950,000$No--------Link / NHL Link
Sean FarrellWheeling Nailers (TB )C222001-11-02Yes175 Lbs5 ft9NoNoTrade2024-07-06NoNo62024-07-02FalseFalsePro & Farm897,500$0$0$No897,500$897,500$897,500$897,500$897,500$----897,500$897,500$897,500$897,500$897,500$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNo----
Simon RobertsonWheeling Nailers (TB )RW212003-02-05Yes190 Lbs6 ft0NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Topi RonniWheeling Nailers (TB )C202004-05-05Yes181 Lbs6 ft2NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Tyler BoucherWheeling Nailers (TB )RW212003-01-16Yes205 Lbs6 ft1NoNoN/ANoNo62024-07-02FalseFalsePro & Farm863,334$0$0$No863,334$863,334$863,334$863,334$863,334$----863,334$863,334$863,334$863,334$863,334$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNo----
Zion NybeckWheeling Nailers (TB )C/LW/RW222002-05-12Yes183 Lbs5 ft8NoNoN/ANoNo10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoNoNoNoNoNoNoNoNo
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3322.06185 Lbs5 ft116.97890,480$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander HoltzRadek FaksaTyler Boucher40122
2Gavin BrindleyAlexander SuzdalevMartin Kaut30122
3Alexander SuzdalevGavin BrindleyRadek Faksa20122
4Zion NybeckPaul LudwinskiRadek Faksa10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke HughesRyker Evans40122
2Scott PerunovichLogan Mailloux30122
3Ryan ChesleyLuke Hughes20122
4Luke HughesRyker Evans10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander HoltzRadek FaksaTyler Boucher60122
2Gavin BrindleyPaul LudwinskiMartin Kaut40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke HughesRyker Evans60122
2Ryan ChesleyLogan Mailloux40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Radek FaksaAlexander Holtz60122
2Tyler BoucherGavin Brindley40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke HughesRyker Evans60122
2Ryan ChesleyLogan Mailloux40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Radek Faksa60122Luke HughesRyker Evans60122
2Alexander Holtz40122Ryan ChesleyLogan Mailloux40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Radek FaksaAlexander Holtz60122
2Tyler BoucherGavin Brindley40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke HughesRyker Evans60122
2Scott PerunovichLogan Mailloux40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alexander HoltzRadek FaksaTyler BoucherLuke HughesRyker Evans
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alexander HoltzRadek FaksaTyler BoucherLuke HughesRyker Evans
Extra Forwards
Normal PowerPlayPenalty Kill
Radek Faksa, Gavin Brindley, Paul LudwinskiRadek Faksa, Gavin BrindleyPaul Ludwinski
Extra Defensemen
Normal PowerPlayPenalty Kill
Ryan Chesley, Luke Hughes, Ryker EvansRyan ChesleyRyker Evans, Luke Hughes
Penalty Shots
Radek Faksa, Alexander Holtz, Tyler Boucher, Gavin Brindley, Martin Kaut
Goalie
#1 : Ivan Prosvetov, #2 : Eetu Makiniemi
Custom OT Lines Forwards
Radek Faksa, Alexander Holtz, Tyler Boucher, Ryan McAllister, Martin Kaut, Gavin Brindley, Gavin Brindley, Paul Ludwinski, Zion Nybeck, Reid Schaefer, Alexander Suzdalev
Custom OT Lines Defensemen
Luke Hughes, Ryker Evans, Scott Perunovich, Logan Mailloux, Ryan Chesley


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
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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8*Wildcard for zero or more non-space characters.
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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
1Cleveland Monsters714001101522-741200010911-230200100611-550.35715223700122431514118721027325129544213924729.17%21861.90%031460851.64%26956247.86%19036651.91%540232574302650337
2Columbus River Dragons3120000069-32020000038-51100000031220.333691500122431566187210273251032516619222.22%8275.00%031460851.64%26956247.86%19036651.91%540232574302650337
3Greenville Swamp Rabbits2010100045-11010000002-21000100043120.500481200122431545187210273253720751300.00%10100.00%031460851.64%26956247.86%19036651.91%540232574302650337
4IUP Crimson Hawks2020000048-41010000034-11010000014-300.00047110012243155118721027325582312376116.67%6516.67%031460851.64%26956247.86%19036651.91%540232574302650337
5Lillehammer IK310011001192210001007611000100043150.83311193000122431592187210273259539145713646.15%7357.14%031460851.64%26956247.86%19036651.91%540232574302650337
6O'Fallon Madcats1010000034-11010000034-10000000000000.00035800122431535187210273252062285240.00%110.00%031460851.64%26956247.86%19036651.91%540232574302650337
7San Diego Spartans2110000068-2000000000002110000068-220.500610160012243155918721027325812919296233.33%7271.43%131460851.64%26956247.86%19036651.91%540232574302650337
8Sudbury Wolves2020000015-41010000002-21010000013-200.000112101224315301872102732535121433300.00%7185.71%031460851.64%26956247.86%19036651.91%540232574302650337
9Sydney Ice Dogs2010010048-4000000000002010010048-410.25046100012243153118721027325371712488337.50%6266.67%031460851.64%26956247.86%19036651.91%540232574302650337
10Tucson Roadrunners512010011718-121100000752301010011013-350.50017274401122431514018721027325135435410422418.18%11372.73%031460851.64%26956247.86%19036651.91%540232574302650337
Total29516033117196-251439001103242-101527032013954-15220.3797111418511122431569018721027325730268192587992727.27%752764.00%131460851.64%26956247.86%19036651.91%540232574302650337
_Since Last GM Reset29516033117196-251439001103242-101527032013954-15220.3797111418511122431569018721027325730268192587992727.27%752764.00%131460851.64%26956247.86%19036651.91%540232574302650337
_Vs Conference24414022115679-231128000102232-101326022013447-13170.354568814411122431554718721027325577206166493802025.00%621969.35%131460851.64%26956247.86%19036651.91%540232574302650337
_Vs Division15414022113852-14728000101623-7826022012229-7170.567386210001122431536818721027325390134103329531222.64%331360.61%031460851.64%26956247.86%19036651.91%540232574302650337

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2922L17111418569073026819258711
All Games
GPWLOTWOTL SOWSOLGFGA
2951633117196
Home Games
GPWLOTWOTL SOWSOLGFGA
143901103242
Visitor Games
GPWLOTWOTL SOWSOLGFGA
152732013954
Last 10 Games
WLOTWOTL SOWSOL
350200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
992727.27%752764.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
187210273251224315
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
31460851.64%26956247.86%19036651.91%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
540232574302650337


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
14Cleveland Monsters3Wheeling Nailers1LBoxScore
311Wheeling Nailers6Tucson Roadrunners5WXBoxScore
417Wheeling Nailers2Cleveland Monsters3LBoxScore
627Cleveland Monsters3Wheeling Nailers4WXXBoxScore
838Wheeling Nailers4Greenville Swamp Rabbits3WXBoxScore
946Cleveland Monsters2Wheeling Nailers4WBoxScore
1152Wheeling Nailers2Cleveland Monsters3LXBoxScore
1261Wheeling Nailers2Tucson Roadrunners5LBoxScore
1368Columbus River Dragons3Wheeling Nailers1LBoxScore
1579Wheeling Nailers0Sydney Ice Dogs3LBoxScore
1688IUP Crimson Hawks4Wheeling Nailers3LBoxScore
1898Wheeling Nailers2Tucson Roadrunners3LXXBoxScore
19105Tucson Roadrunners5Wheeling Nailers4LBoxScore
21114Wheeling Nailers4San Diego Spartans3WBoxScore
22122Wheeling Nailers1Sudbury Wolves3LBoxScore
23126Greenville Swamp Rabbits2Wheeling Nailers0LBoxScore
24136Wheeling Nailers3Columbus River Dragons1WBoxScore
26144Columbus River Dragons5Wheeling Nailers2LBoxScore
28156Wheeling Nailers2San Diego Spartans5LBoxScore
29163Lillehammer IK3Wheeling Nailers2LXBoxScore
31176Cleveland Monsters3Wheeling Nailers0LBoxScore
32184Wheeling Nailers4Sydney Ice Dogs5LXBoxScore
33192Lillehammer IK3Wheeling Nailers5WBoxScore
35202Wheeling Nailers1IUP Crimson Hawks4LBoxScore
37211Wheeling Nailers2Cleveland Monsters5LBoxScore
38215Sudbury Wolves2Wheeling Nailers0LBoxScore
40230Tucson Roadrunners0Wheeling Nailers3WBoxScore
42240Wheeling Nailers4Lillehammer IK3WXBoxScore
43249O'Fallon Madcats4Wheeling Nailers3LBoxScore
45260Wheeling Nailers-Greenville Swamp Rabbits-
47267IUP Crimson Hawks-Wheeling Nailers-
48278Wheeling Nailers-Sudbury Wolves-
49284San Diego Spartans-Wheeling Nailers-
51293Wheeling Nailers-Tucson Roadrunners-
53300Wheeling Nailers-San Diego Spartans-
54306Greenville Swamp Rabbits-Wheeling Nailers-
57321San Diego Spartans-Wheeling Nailers-
58327Wheeling Nailers-Sudbury Wolves-
60337Wheeling Nailers-Hershey Bears-
62346San Diego Spartans-Wheeling Nailers-
64355Wheeling Nailers-Cleveland Monsters-
65360Saskatoon Blades-Wheeling Nailers-
68373Hershey Bears-Wheeling Nailers-
70386Wheeling Nailers-Sydney Ice Dogs-
71391Columbus River Dragons-Wheeling Nailers-
72393Wheeling Nailers-O'Fallon Madcats-
74410Tucson Roadrunners-Wheeling Nailers-
76419Wheeling Nailers-O'Fallon Madcats-
77426Wheeling Nailers-Columbus River Dragons-
79433Sydney Ice Dogs-Wheeling Nailers-
81447Jacksonville Lizard Kings-Wheeling Nailers-
82454Wheeling Nailers-Jacksonville Lizard Kings-
84463Cleveland Monsters-Wheeling Nailers-
87476Wheeling Nailers-Greenville Swamp Rabbits-
88481Calgary Canucks-Wheeling Nailers-
90493Wheeling Nailers-IUP Crimson Hawks-
91500Saskatoon Blades-Wheeling Nailers-
92508Wheeling Nailers-Tucson Roadrunners-
94517Wheeling Nailers-Hershey Bears-
95522O'Fallon Madcats-Wheeling Nailers-
Trade Deadline --- Trades can’t be done after this day is simulated!
97536Sudbury Wolves-Wheeling Nailers-
99547Wheeling Nailers-Utica Comets-
100556Utica Comets-Wheeling Nailers-
102565Wheeling Nailers-Lillehammer IK-
103572Lillehammer IK-Wheeling Nailers-
105584O'Fallon Madcats-Wheeling Nailers-
106586Wheeling Nailers-Saskatoon Blades-
108603Orlando Solar Bears-Wheeling Nailers-
109609Wheeling Nailers-O'Fallon Madcats-
111622Columbus River Dragons-Wheeling Nailers-
112627Wheeling Nailers-Skelleftea AIK-
115640Sudbury Wolves-Wheeling Nailers-
116647Wheeling Nailers-Saskatoon Blades-
118658Skelleftea AIK-Wheeling Nailers-
120667Wheeling Nailers-Calgary Canucks-
122679Greenville Swamp Rabbits-Wheeling Nailers-
125691IUP Crimson Hawks-Wheeling Nailers-
127705Sydney Ice Dogs-Wheeling Nailers-
128708Wheeling Nailers-Columbus River Dragons-
130720Wheeling Nailers-Orlando Solar Bears-
132724Sydney Ice Dogs-Wheeling Nailers-
134730Wheeling Nailers-Orlando Solar Bears-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
27 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,354,900$ 2,938,583$ 3,298,583$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,031,368$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 92 28,960$ 2,664,320$




Wheeling Nailers 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

Wheeling Nailers Goalies Stat Leaders (Regular Season)

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

Wheeling Nailers 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

Wheeling Nailers 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

Wheeling Nailers Goalies Stat Leaders (Play-Off)

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