Dayton Clippers
GP: 70 | W: 29 | L: 32 | T: 7 | P: 65
GF: 243 | GA: 262 | PP%: 20.08% | PK%: 78.55%
GM : | Morale : 44 | Team Overall : 63
Next Games #984 vs Montpelier Cougars
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
# 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
1Garrett Franzoni0X96.50222847277768562707279637099865547690222550,000$
2Jacob Tansey0X97.504923806570815575367776705086534650680193313,166$
3Tim Negrete (R)0X97.506862247854786070168783495079437479670194525,000$
4Kurt Zielonka0X100.003620847073715971557181355093704980650212303,493$
5Jason Anastas0X97.5011847074677869767782225099674067640263307,500$
6Bill Luttrell0X99.002210846879686666407082327086675776630221255,343$
7Austin Enslow (R)0X100.006040698167787960483690245096854928620194470,556$
8Ron Bartley0X100.00211847376637354586679367099493718610222264,821$
9Joe Barden0X100.007843586375758052114754597099703520600231325,621$
10Bill Mowatt0X97.503013846181765979176663827092994427690212552,885$
11Chase Sedor0X98.509845597076733936293233945093625615670212469,712$
12Patrick Piacentini0X100.006030847169736547273327825094546248640262331,611$
13Brian Pizzuti0X100.006921847164724458224546705096847551640203255,351$
14Aaron Kirkendoll (R)0X100.005640848858775536224548835061588138640194460,347$
15Derek Miller0X100.00435846679745872246090447095523263630232249,079$
16Josh Sholar0X100.003921846665774368807878475099525851620203268,274$
17Keith Gersbach (R)0X100.004040667662784440174546875086424821620184298,716$
18Austin Malin0X100.004026847164717248132334755081824518610193248,728$
Scratches
1Fabian Tillberg0X98.005213676581736890867394397084702757700233450,000$
2Gregg Peatman0X100.002618847569736062856068465084756119610212309,538$
3Casey Corriere0X100.003722846562717664475273495092725419610193279,673$
4Paul Pillitteri0X100.004221847666795452715771405095586718600212278,041$
5Kyle Ashdown0X100.003321847463744066366772335081606120600193255,106$
6Bill Roca0X100.004021847072792858847441537099753720590222253,141$
7Jamie Reid0X100.003622846568767756253974585081675920590203282,393$
8Nathan Martin (R)0X100.006544447154764971224653715080416520590214269,591$
9Braeden Hansard0X100.005758462767261456652506370878055205802300$
10Zachary Forrest0X100.003121847463856045387361257093766620580221246,813$
11Ron Heiden (R)0X100.004640596364876549585157645089415020580214292,631$
12Marc-Antoine Charbonneau0X100.0046137273737142656455394470997753205702300$
13Jake Wilson0X100.005215686577726142714066407095955220570221256,370$
14Marc Theiler0X100.0034208270787969422329457870957565205702400$
15Kirk Ritchey0X100.0073335870738178462541395970886560205702400$
16Timothy Kottenstette (R)0X55.186361566972776560264755725085666230650194408,125$
17Devin Traber0X100.001828459836666644449706870996530206102500$
18Kirk McGinnis0X100.006441596276624934233641767086996514610232254,106$
19Eric Mades0X100.00172847571687940364080547099944520600241252,425$
20Frankie Eckerson0X100.0044218472727071442034406070998152206002200$
21Duane Boyle0X100.006323547176704036213341797076563219600221257,398$
22Jordan Simler (R)0X100.003348647364697142112949835091306120600184292,078$
23Will Belson (R)0X100.004040848256755734143633675095785820600184262,851$
24Charlie Heitner (R)0XX100.005040577364812058844527537069715320560224265,597$
TEAM AVERAGE98.50452574707074605541526058609068533162
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 SP
1Lee Jonak97.00698275737289919287598255954478780
2Anton Heinle (R)100.00608472726189887886625083526826730
Scratches
1Geoff Osberg89.5663172817277998092626699994850750
2Devin McCollister100.00777977767766692974658894903920690
3Ben Morganti100.00677570747070596842707099994020680
TEAM AVERAGE97.3167647375707881697664718687483973
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Resler70887773587862USA433255,000$


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
1Tim NegreteDayton Clippers (Cin)RW70325688-1721735178652277314414.10%28135519.36122032532270000191133.61%1195119001.3000106272
2Roy LombaCincinnati ClippersC45193150-134011859154558512.34%2298021.79611172112400081052134.23%10752416011.0200000522
3Kurt ZielonkaDayton Clippers (Cin)C7118314913004335125358514.40%977410.911014370000363254.30%407236001.2700000252
4Bill LuttrellDayton Clippers (Cin)LW702818463202847160398417.50%1189712.8222410460111474243.59%392910001.0300000113
5Aaron ZellmannCincinnati ClippersLW50202545-3575119521814410411.05%1787117.4327913871013371156.00%503013001.0300001324
6Jacob TanseyDayton Clippers (Cin)C6517223971207267166318610.24%1787913.541238250002522042.89%3941612000.8900000325
7Jason AnastasDayton Clippers (Cin)LW70132538-6100224014150889.22%1197813.9705513820003722075.00%402313000.7800000033
8Garrett FranzoniDayton Clippers (Cin)C30152237540297791304316.48%1961320.4335813690002741157.06%531159011.2100000230
9Jarvis GrayCincinnati ClippersLW27181634-61406138116357015.52%1868225.2953816780002833152.56%2152414011.0000000421
10Brian PizzutiDayton Clippers (Cin)D7122931-22088956927402.90%94153421.6105582070114165000.00%01133000.4000000012
11Todd SheppardCincinnati ClippersC181216287255443364354518.75%1342523.6652715631013662042.37%49894021.3100010311
12Fabian TillbergDayton Clippers (Cin)C2091928-5120284388165410.23%547623.81571219760003550062.82%65986001.1800000020
13Alton WarnellCincinnati ClippersD21224267000414819244.17%3356927.12189875033393000.00%02013000.9101000010
14Gregg PeatmanDayton Clippers (Cin)C3010162632081951204419.61%737512.511235240110132253.72%242144001.3900000020
15Garrett BrayerCincinnati ClippersC16111021020163147183023.40%935922.4513412550000380159.63%37466111.1700000301
16Randall BialeckiCincinnati ClippersRW5291019260495150143118.00%1078615.121124551011122043.90%411115000.4801000111
17Kelly FurseCincinnati ClippersC2871219-1120314364205210.94%952118.630222560000562147.68%453208000.7300000112
18Clay TouseyCincinnati ClippersLW126111718021196510319.23%528223.5311211380000352030.59%85124001.2000000011
19Kyle NelsonCincinnati ClippersD46413171513020110814522248.89%73102722.3521391570003105100.00%01031000.3301003200
20Ron BartleyDayton Clippers (Cin)LW1551015360101827122818.52%322615.07033325000050057.14%1464001.3300000100
21Patrick PiacentiniDayton Clippers (Cin)D6501414-10606372352290.00%72114717.6602221080112120000.00%0645000.2400000001
22Dante EaganCincinnati ClippersRW603710-56054735112395.88%2595415.921017111000040029.41%34515000.2100000001
23Chase SedorDayton Clippers (Cin)D52279-88610111874726244.26%84121723.4102271650111153000.00%0331000.1500110001
24Timothy KottenstetteDayton Clippers (Cin)D56099-17781079654718220.00%71111819.9804481350001118000.00%0829000.1600110000
25Derek MillerDayton Clippers (Cin)D68178112018212915123.45%2169810.27000010000041000.00%21015000.2300000010
26Bill MowattDayton Clippers (Cin)D16448320113027141414.81%3443126.97224562000056110.00%01318000.3700000100
27Aaron KirkendollDayton Clippers (Cin)D71178-136025753619122.78%5794113.25112456000076000.00%0433000.1700000100
28Joe BardenDayton Clippers (Cin)RW7257-34010450340.00%410314.72000000000900100.00%111001.3600000000
29Austin EnslowDayton Clippers (Cin)RW302573803119198910.53%436012.01000015000170061.11%1866000.3900000001
30Will MarcinkowskiCincinnati ClippersC90665160231916790.00%716318.170001130000130058.52%17640000.7300000000
31Josh SholarDayton Clippers (Cin)D60156-6201013205105.00%195829.70000312101235100.00%0139000.2100000000
32Paul PillitteriDayton Clippers (Cin)LW9404-120872041620.00%313114.63000000001111040.00%1020000.6100000001
33Jon CarvilleCincinnati ClippersD603300011710570.00%1916527.6200042600011800100.00%137000.3600000000
34Casey CorriereDayton Clippers (Cin)C280220003121360.00%61455.1800006000040050.72%6932000.2800000000
35Travis WalshCincinnati ClippersD50110001109230.00%1213627.30011211000112000.00%036000.1500000000
36Keith GersbachDayton Clippers (Cin)D220111605245360.00%81747.910000200003000.00%017000.1100000000
37Jordan SimlerDayton Clippers (Cin)D1011-200101010.00%01010.720000000000000.00%000001.8700000000
38Kirk McGinnisDayton Clippers (Cin)D2000040431010.00%2199.570000000000000.00%001000.0000000000
39Duane BoyleDayton Clippers (Cin)D13000416016185310.00%1315912.250000200008000.00%017000.0000000000
40Austin MalinDayton Clippers (Cin)D5000000000000.00%110.350000000000000.00%000000.0000000000
Team Total or Average1412277500777-2378985154915232363771139611.72%8752328016.495310215529023604812481872331448.67%5547448472160.67033310353835
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
1Lee JonakDayton Clippers (Cin)66283160.8843.623899412352029890410.0000654241
2Anton HeinleDayton Clippers (Cin)31110.8534.8812300106824100.0000218000
3Geoff OsbergDayton Clippers (Cin)50200.8484.49214001610552000.0000348000
Team Total or Average74293470.8813.704237412612202966510.00007070241


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 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 KirkendollDayton Clippers (Cin)D197/20/2000Yes180 Lbs5 ft10NoNoNo4Pro & Farm460,347$0$0$No460,347$460,347$460,347$
Anton HeinleDayton Clippers (Cin)G209/24/1999Yes179 Lbs5 ft11NoNoNo3Pro & Farm287,652$0$0$No287,652$287,652$
Austin EnslowDayton Clippers (Cin)RW198/27/2000Yes184 Lbs6 ft2NoNoNo4Pro & Farm470,556$0$0$No470,556$470,556$470,556$
Austin MalinDayton Clippers (Cin)D196/1/2000No193 Lbs6 ft5NoNoNo3Pro & Farm248,728$0$0$No248,728$248,728$
Ben MorgantiDayton Clippers (Cin)G303/20/1989No188 Lbs5 ft11NoNoNo1Pro & Farm225,000$0$0$No
Bill LuttrellDayton Clippers (Cin)LW2210/4/1997No201 Lbs6 ft4NoNoNo1Pro & Farm255,343$0$0$No
Bill MowattDayton Clippers (Cin)D219/6/1998No230 Lbs6 ft7NoNoNo2Pro & Farm552,885$0$0$No552,885$
Bill RocaDayton Clippers (Cin)LW224/20/1997No203 Lbs6 ft7NoNoNo2Pro & Farm253,141$0$0$No253,141$
Braeden HansardDayton Clippers (Cin)C2310/6/1996No210 Lbs6 ft1NoNoYes0Pro & Farm0$0$No
Brian PizzutiDayton Clippers (Cin)D2010/13/1999No182 Lbs6 ft1NoNoNo3Pro & Farm255,351$0$0$No255,351$255,351$
Casey CorriereDayton Clippers (Cin)C194/17/2000No190 Lbs5 ft11NoNoNo3Pro & Farm279,673$0$0$No279,673$279,673$
Charlie HeitnerDayton Clippers (Cin)C/D227/15/1997Yes197 Lbs6 ft8NoNoNo4Pro & Farm265,597$0$0$No265,597$265,597$265,597$
Chase SedorDayton Clippers (Cin)D219/14/1998No203 Lbs6 ft7NoNoNo2Pro & Farm469,712$0$0$No469,712$
Derek MillerDayton Clippers (Cin)D2310/2/1996No204 Lbs6 ft4NoNoNo2Pro & Farm249,079$0$0$No249,079$
Devin McCollisterDayton Clippers (Cin)G235/22/1996No178 Lbs6 ft5NoNoNo2Pro & Farm290,000$0$0$No290,000$
Devin TraberDayton Clippers (Cin)D256/5/1994No232 Lbs6 ft6NoNoYes0Pro & Farm0$0$No
Duane BoyleDayton Clippers (Cin)D229/16/1997No200 Lbs6 ft8NoNoNo1Pro & Farm257,398$0$0$No
Eric MadesDayton Clippers (Cin)D2410/22/1995No173 Lbs6 ft1NoNoNo1Pro & Farm252,425$0$0$No
Fabian TillbergDayton Clippers (Cin)C235/3/1996No214 Lbs6 ft5NoNoNo3Pro & Farm450,000$0$0$No450,000$450,000$
Frankie EckersonDayton Clippers (Cin)D222/28/1997No182 Lbs6 ft2NoNoYes0Pro & Farm0$0$No
Garrett FranzoniDayton Clippers (Cin)C226/7/1997No196 Lbs6 ft6NoNoNo2Pro & Farm550,000$0$0$No550,000$
Geoff Osberg (Out of Payroll)Dayton Clippers (Cin)G3110/25/1988No213 Lbs6 ft4NoNoNo2Pro & Farm350,000$0$0$No350,000$
Gregg PeatmanDayton Clippers (Cin)C218/5/1998No185 Lbs6 ft6NoNoNo2Pro & Farm309,538$0$0$No309,538$
Jacob TanseyDayton Clippers (Cin)C196/9/2000No203 Lbs6 ft2NoNoNo3Pro & Farm313,166$0$0$No313,166$313,166$
Jake WilsonDayton Clippers (Cin)RW222/10/1998No203 Lbs6 ft3NoNoNo1Pro & Farm256,370$0$0$No
Jamie ReidDayton Clippers (Cin)RW207/30/1999No211 Lbs6 ft5NoNoNo3Pro & Farm282,393$0$0$No282,393$282,393$
Jason AnastasDayton Clippers (Cin)LW264/22/1993No186 Lbs6 ft2NoNoNo3Pro & Farm307,500$0$0$No307,500$307,500$
Joe BardenDayton Clippers (Cin)RW236/7/1996No203 Lbs6 ft1NoNoNo1Pro & Farm325,621$0$0$No
Jordan SimlerDayton Clippers (Cin)D182/16/2001Yes180 Lbs6 ft2NoNoNo4Pro & Farm292,078$0$0$No292,078$292,078$292,078$
Josh SholarDayton Clippers (Cin)D208/18/1999No193 Lbs5 ft11NoNoNo3Pro & Farm268,274$0$0$No268,274$268,274$
Keith GersbachDayton Clippers (Cin)D183/16/2001Yes174 Lbs6 ft2NoNoNo4Pro & Farm298,716$0$0$No298,716$298,716$298,716$
Kirk McGinnisDayton Clippers (Cin)D231/12/1997No209 Lbs6 ft0NoNoNo2Pro & Farm254,106$0$0$No254,106$
Kirk RitcheyDayton Clippers (Cin)RW247/21/1995No191 Lbs6 ft3NoNoYes0Pro & Farm0$0$No
Kurt ZielonkaDayton Clippers (Cin)C217/10/1998No194 Lbs6 ft2NoNoNo2Pro & Farm303,493$0$0$No303,493$
Kyle AshdownDayton Clippers (Cin)C193/14/2000No184 Lbs6 ft5NoNoNo3Pro & Farm255,106$0$0$No255,106$255,106$
Lee JonakDayton Clippers (Cin)G258/9/1994No185 Lbs5 ft10NoNoNo2Pro & Farm355,000$0$0$No355,000$
Marc TheilerDayton Clippers (Cin)RW2411/30/1995No201 Lbs6 ft7NoNoYes0Pro & Farm0$0$No
Marc-Antoine CharbonneauDayton Clippers (Cin)C2312/18/1996No186 Lbs6 ft3NoNoYes0Pro & Farm0$0$No
Nathan MartinDayton Clippers (Cin)LW218/13/1998Yes174 Lbs5 ft11NoNoNo4Pro & Farm269,591$0$0$No269,591$269,591$269,591$
Patrick PiacentiniDayton Clippers (Cin)D261/12/1994No168 Lbs5 ft8NoNoNo2Pro & Farm331,611$0$0$No331,611$
Paul PillitteriDayton Clippers (Cin)LW211/9/1999No179 Lbs6 ft4NoNoNo2Pro & Farm278,041$0$0$No278,041$
Ron BartleyDayton Clippers (Cin)LW225/15/1997No191 Lbs6 ft6NoNoNo2Pro & Farm264,821$0$0$No264,821$
Ron HeidenDayton Clippers (Cin)RW2112/30/1998Yes214 Lbs6 ft4NoNoNo4Pro & Farm292,631$0$0$No292,631$292,631$292,631$
Tim NegreteDayton Clippers (Cin)RW199/30/2000Yes162 Lbs5 ft9NoNoNo4Pro & Farm525,000$0$0$No525,000$525,000$525,000$
Timothy Kottenstette (Out of Payroll)Dayton Clippers (Cin)D197/3/2000Yes179 Lbs5 ft9NoNoNo4Pro & Farm408,125$0$0$No408,125$408,125$408,125$
Will BelsonDayton Clippers (Cin)D183/25/2001Yes174 Lbs6 ft0NoNoNo4Pro & Farm262,851$0$0$No262,851$262,851$262,851$
Zachary ForrestDayton Clippers (Cin)C229/15/1997No168 Lbs5 ft11NoNoNo1Pro & Farm246,813$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4721.85192 Lbs6 ft32.23279,228$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jason AnastasGarrett FranzoniTim Negrete40122
2Bill LuttrellJacob TanseyAustin Enslow30122
3Ron BartleyKurt ZielonkaJoe Barden20122
4Jacob TanseyGarrett FranzoniTim Negrete10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bill MowattChase Sedor40122
2Patrick PiacentiniAaron Kirkendoll30122
3Brian PizzutiDerek Miller20122
4Josh SholarKeith Gersbach10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jason AnastasGarrett FranzoniTim Negrete60122
2Bill LuttrellJacob TanseyAustin Enslow40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Bill MowattChase Sedor60122
2Patrick PiacentiniAaron Kirkendoll40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Garrett FranzoniJacob Tansey60122
2Tim NegreteJason Anastas40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Bill MowattChase Sedor60122
2Patrick PiacentiniAaron Kirkendoll40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Garrett Franzoni60122Bill MowattChase Sedor60122
2Jacob Tansey40122Patrick PiacentiniAaron Kirkendoll40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Garrett FranzoniJacob Tansey60122
2Tim NegreteJason Anastas40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bill MowattChase Sedor60122
2Patrick PiacentiniAaron Kirkendoll40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jason AnastasGarrett FranzoniTim NegreteBill MowattChase Sedor
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jason AnastasGarrett FranzoniTim NegreteBill MowattChase Sedor
Extra Forwards
Normal PowerPlayPenalty Kill
Kurt Zielonka, Ron Bartley, Joe BardenKurt Zielonka, Ron BartleyJoe Barden
Extra Defensemen
Normal PowerPlayPenalty Kill
Austin Malin, Brian Pizzuti, Derek MillerAustin MalinBrian Pizzuti, Derek Miller
Penalty Shots
Garrett Franzoni, Jacob Tansey, Tim Negrete, Jason Anastas, Kurt Zielonka
Goalie
#1 : Lee Jonak, #2 : Anton Heinle


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
1Amherst Winterhawks20110000711-4100100006601010000015-410.25071017006885864497386347113163223429700.00%12650.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
2Arlington Americans20200000315-121010000025-310100000110-900.000336006885864667386347113166242332800.00%9366.67%0827170448.53%852171349.74%498108445.94%141373014586951369676
3Beverly Eagles1010000024-2000000000001010000024-200.00023500688586432738634711313519216400.00%10100.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
4Bowling Green Red Devils74300000222203210000078-1422000001514180.57122345601688586422373863471131202695813423313.04%29775.86%0827170448.53%852171349.74%498108445.94%141373014586951369676
5Canadaigua Lakers21100000770110000004221010000035-220.500711180068858644673863471131662026306233.33%80100.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
6Cape Breton Kings201010007701010000045-11000100032120.5007121900688586458738634711316229193014214.29%70100.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
7Charlesbourg Cavaliers21001000743100010004311100000031241.0007111800688586447738634711314920134212216.67%40100.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
8Charlottesville Robins3300000016972200000011651100000053261.000162541006885864997386347113110535265212325.00%13469.23%1827170448.53%852171349.74%498108445.94%141373014586951369676
9Columbia Tigers2020000028-61010000013-21010000015-400.000235006885864607386347113158231527700.00%60100.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
10Concord Goldminers20200000716-920200000716-90000000000000.000711180068858645573863471131682210429333.33%5180.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
11Elmira Roadrunners41300000815-72020000049-52110000046-220.25081422006885864110738634711311083536851317.69%18383.33%0827170448.53%852171349.74%498108445.94%141373014586951369676
12Evanston Thunderbirds713111002627-1412001001819-13011100088050.35726467210688586420973863471131236797114021419.05%28967.86%0827170448.53%852171349.74%498108445.94%141373014586951369676
13Harrisburg Rockets10010000330100100003300000000000010.500358006885864367386347113141184215120.00%20100.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
14Johnstown Yellow Jackets2110000089-1110000005411010000035-220.50081220006885864597386347113171172638700.00%13284.62%1827170448.53%852171349.74%498108445.94%141373014586951369676
15Lafayette Racers752000003122943100000151143210000016115100.71431528300688586419873863471131198648612728725.00%33681.82%1827170448.53%852171349.74%498108445.94%141373014586951369676
16Longueuil Voyageurs20200000511-61010000026-41010000035-200.00058130068858646373863471131692422417114.29%11190.91%0827170448.53%852171349.74%498108445.94%141373014586951369676
17Lowell Plainsmen22000000844110000003121100000053241.000815230068858645773863471131442112317457.14%6266.67%0827170448.53%852171349.74%498108445.94%141373014586951369676
18Montpelier Cougars11000000523000000000001100000052321.0005712006885864417386347113137144155120.00%20100.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
19Napean Spartans2011000089-1100100004401010000045-110.250815230068858646673863471131713425489111.11%10370.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
20Niagara Falls Wings2011000078-11010000045-11001000033010.2507916006885864657386347113174231241600.00%6350.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
21Pawtucket Reds220000001147110000006241100000052341.00011223300688586468738634711315020193211545.45%60100.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
22Reading Patriots2110000010911010000056-11100000053220.5001014240068858647373863471131763712467342.86%6350.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
23Scarborough Royals1010000002-2000000000001010000002-200.00000000688586420738634711312781213300.00%60100.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
24Troy Indians200011006601000010023-11000100043120.500611170068858645373863471131652228377228.57%14285.71%1827170448.53%852171349.74%498108445.94%141373014586951369676
25Virginia Beach Mariners3210000015962110000068-21100000091840.66715233800688586492738634711311004212419555.56%6183.33%0827170448.53%852171349.74%498108445.94%141373014586951369676
26Watertown Bulls20200000511-61010000046-21010000015-400.00058130068858647073863471131822612327114.29%6183.33%0827170448.53%852171349.74%498108445.94%141373014586951369676
27Williamsburg Dragons3012000078-1100100002202011000056-120.3337111800688586499738634711318024167710220.00%8275.00%0827170448.53%852171349.74%498108445.94%141373014586951369676
Total70253274200243262-1936131641200129143-1434121633000114119-5650.464243395638116885864211473863471131220379163512992645320.08%2755978.55%4827170448.53%852171349.74%498108445.94%141373014586951369676
_Since Last GM Reset70323204200243262-1936131641200129143-14341916-43000114119-5720.514243395638116885864211473863471131220379163512992645320.08%2755978.55%4827170448.53%852171349.74%498108445.94%141373014586951369676
_Vs Conference45222101100158172-142510122010086100-1420129-2100072720460.51115825341111688586413797386347113114094893958621593220.13%1764176.70%3827170448.53%852171349.74%498108445.94%141373014586951369676
_Vs Division2111801100797181164001004038210540100039336240.5717913221111688586463073863471131636212215401721419.44%902275.56%1827170448.53%852171349.74%498108445.94%141373014586951369676

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7065T124339563821142203791635129911
All Games
GPWLOTWOTL TGFGA
702532427243262
Home Games
GPWLOTWOTL TGFGA
361316124129143
Visitor Games
GPWLOTWOTL TGFGA
341216303114119
Last 10 Games
WLOTWOTL T
62002
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2645320.08%2755978.55%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
738634711316885864
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
827170448.53%852171349.74%498108445.94%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
141373014586951369676


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 - 2019-10-016Dayton Clippers2Bowling Green Red Devils5LBoxScore
3 - 2019-10-0318Dayton Clippers3Evanston Thunderbirds2WXBoxScore
5 - 2019-10-0530Williamsburg Dragons2Dayton Clippers2TXBoxScore
8 - 2019-10-0844Evanston Thunderbirds7Dayton Clippers6LBoxScore
9 - 2019-10-0954Lowell Plainsmen1Dayton Clippers3WBoxScore
11 - 2019-10-1167Dayton Clippers1Amherst Winterhawks5LBoxScore
13 - 2019-10-1375Dayton Clippers3Cape Breton Kings2WXBoxScore
15 - 2019-10-1586Dayton Clippers2Beverly Eagles4LBoxScore
19 - 2019-10-19115Pawtucket Reds2Dayton Clippers6WBoxScore
20 - 2019-10-20118Dayton Clippers5Bowling Green Red Devils2WBoxScore
24 - 2019-10-24146Reading Patriots6Dayton Clippers5LBoxScore
26 - 2019-10-26156Dayton Clippers3Niagara Falls Wings3TXBoxScore
27 - 2019-10-27161Dayton Clippers4Troy Indians3WXBoxScore
30 - 2019-10-30180Dayton Clippers1Watertown Bulls5LBoxScore
32 - 2019-11-01194Amherst Winterhawks6Dayton Clippers6TXBoxScore
33 - 2019-11-02199Troy Indians3Dayton Clippers2LXBoxScore
35 - 2019-11-04213Canadaigua Lakers2Dayton Clippers4WBoxScore
37 - 2019-11-06226Dayton Clippers5Reading Patriots3WBoxScore
40 - 2019-11-09240Dayton Clippers2Elmira Roadrunners1WBoxScore
43 - 2019-11-12259Johnstown Yellow Jackets4Dayton Clippers5WBoxScore
46 - 2019-11-15277Dayton Clippers3Charlesbourg Cavaliers1WBoxScore
48 - 2019-11-17289Dayton Clippers3Longueuil Voyageurs5LBoxScore
50 - 2019-11-19297Dayton Clippers4Napean Spartans5LBoxScore
53 - 2019-11-22317Dayton Clippers5Montpelier Cougars2WBoxScore
55 - 2019-11-24327Virginia Beach Mariners4Dayton Clippers5WBoxScore
59 - 2019-11-28352Elmira Roadrunners5Dayton Clippers4LBoxScore
62 - 2019-12-01370Dayton Clippers2Williamsburg Dragons3LBoxScore
66 - 2019-12-05394Dayton Clippers5Charlottesville Robins3WBoxScore
68 - 2019-12-07403Dayton Clippers9Virginia Beach Mariners1WBoxScore
72 - 2019-12-11431Dayton Clippers1Bowling Green Red Devils3LBoxScore
74 - 2019-12-13442Charlesbourg Cavaliers3Dayton Clippers4WXBoxScore
76 - 2019-12-15454Harrisburg Rockets3Dayton Clippers3TXBoxScore
78 - 2019-12-17464Dayton Clippers2Lafayette Racers5LBoxScore
81 - 2019-12-20487Lafayette Racers3Dayton Clippers4WBoxScore
83 - 2019-12-22495Evanston Thunderbirds5Dayton Clippers3LBoxScore
85 - 2019-12-24502Dayton Clippers7Lafayette Racers4WBoxScore
86 - 2019-12-25516Watertown Bulls6Dayton Clippers4LBoxScore
88 - 2019-12-27529Concord Goldminers7Dayton Clippers4LBoxScore
93 - 2020-01-01555Elmira Roadrunners4Dayton Clippers0LBoxScore
95 - 2020-01-03565Virginia Beach Mariners4Dayton Clippers1LBoxScore
98 - 2020-01-06585Columbia Tigers3Dayton Clippers1LBoxScore
100 - 2020-01-08595Dayton Clippers3Johnstown Yellow Jackets5LBoxScore
105 - 2020-01-13618Dayton Clippers7Bowling Green Red Devils4WBoxScore
107 - 2020-01-15636Lafayette Racers1Dayton Clippers4WBoxScore
109 - 2020-01-17645Evanston Thunderbirds4Dayton Clippers3LXBoxScore
111 - 2020-01-19661Dayton Clippers7Lafayette Racers2WBoxScore
116 - 2020-01-24688Concord Goldminers9Dayton Clippers3LBoxScore
118 - 2020-01-26700Dayton Clippers1Columbia Tigers5LBoxScore
121 - 2020-01-29717Niagara Falls Wings5Dayton Clippers4LBoxScore
122 - 2020-01-30726Dayton Clippers3Evanston Thunderbirds4LBoxScore
124 - 2020-02-01735Charlottesville Robins3Dayton Clippers4WBoxScore
126 - 2020-02-03744Dayton Clippers1Arlington Americans10LBoxScore
129 - 2020-02-06766Arlington Americans5Dayton Clippers2LBoxScore
131 - 2020-02-08779Bowling Green Red Devils7Dayton Clippers3LBoxScore
135 - 2020-02-12803Bowling Green Red Devils1Dayton Clippers3WBoxScore
136 - 2020-02-13809Longueuil Voyageurs6Dayton Clippers2LBoxScore
138 - 2020-02-15823Dayton Clippers0Scarborough Royals2LBoxScore
140 - 2020-02-17828Dayton Clippers3Canadaigua Lakers5LBoxScore
142 - 2020-02-19845Lafayette Racers5Dayton Clippers3LBoxScore
144 - 2020-02-21857Dayton Clippers2Evanston Thunderbirds2TXBoxScore
147 - 2020-02-24875Evanston Thunderbirds3Dayton Clippers6WBoxScore
149 - 2020-02-26883Lafayette Racers2Dayton Clippers4WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2020-02-28898Bowling Green Red Devils0Dayton Clippers1WBoxScore
153 - 2020-03-01906Dayton Clippers5Lowell Plainsmen3WBoxScore
154 - 2020-03-02911Dayton Clippers5Pawtucket Reds2WBoxScore
156 - 2020-03-04926Napean Spartans4Dayton Clippers4TXBoxScore
158 - 2020-03-06940Cape Breton Kings5Dayton Clippers4LBoxScore
160 - 2020-03-08946Charlottesville Robins3Dayton Clippers7WBoxScore
163 - 2020-03-11962Dayton Clippers2Elmira Roadrunners5LBoxScore
164 - 2020-03-12973Dayton Clippers3Williamsburg Dragons3TXBoxScore
166 - 2020-03-14984Montpelier Cougars-Dayton Clippers-
168 - 2020-03-16997Beverly Eagles-Dayton Clippers-
172 - 2020-03-201020Williamsburg Dragons-Dayton Clippers-
175 - 2020-03-231043Dayton Clippers-Concord Goldminers-
177 - 2020-03-251054Scarborough Royals-Dayton Clippers-
180 - 2020-03-281064Dayton Clippers-Harrisburg Rockets-
183 - 2020-03-311082Dayton Clippers-Arlington Americans-
185 - 2020-04-021098Dayton Clippers-Concord Goldminers-
186 - 2020-04-031100Dayton Clippers-Charlottesville Robins-
188 - 2020-04-051112Dayton Clippers-Virginia Beach Mariners-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance68,13833,426
Attendance PCT94.64%92.85%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
4 2821 - 94.04% 80,173$2,886,220$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,205,280$ 3,091,401$ 3,091,401$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
16,444$ 2,982,829$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
320,691$ 24 17,800$ 427,200$




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
1680353174300291278134018162130015814612401715530001331321772914787690087101994253383685981028255482355315322717126.20%2786377.34%6892190346.87%897189847.26%569122746.37%166688116147601562794
13-1480274074200289314-2540142131100146157-1140131943100143157-14612894727618099959142922103597690011274196344617002214821.72%2085175.48%71123207354.17%1001191452.30%706125956.08%168489115787661587807
14-1580363162500318299194018162040016315310401815421001551469783185198374110496116229981102962917173046101348415842284519.74%1503179.33%7992207147.90%1017212547.86%617131446.96%165689016487461531783
15-1680362777300318275434019143220016613828401713451001521371579318526844119511610072929108288392836289694744016712474116.60%2013881.09%61174205157.24%1166202357.64%732128157.14%166488316267681561790
16-17804329701002752561940278401001571144340162130000118142-24932754637383090100850261693391375713255880041215312416125.31%1874575.94%41086191756.65%1014188253.88%650118454.90%166388816097521563801
17-1880303593300282297-1540142041100137150-1340161552200145147-2692824677491072117903262391187981122253486158916312525521.83%2437071.19%21097195056.26%941180652.10%655124552.61%168291316387511530771
1770253274200243262-1936131641200129143-1434121633000114119-565243395638116885864211473863471131220379163512992645320.08%2755978.55%4827170448.53%852171349.74%498108445.94%141373014586951369676
Total Regular Season550232225502419002016198135276123111226140010561001552741091142818500960980-205222016332053361836157106672418735663761065834158185326198355910948172437421.69%154235776.85%3671911366952.61%68881336151.55%4427859451.51%114336078111745242107055424