Your Online Source for Information on College Bowling

EVENTS: WEEK 15

[ results received - online ]

McKendree Baker, GLBC IV, NE Winter, Muskie
SWIBC Champs, Reyes Memorial I/II, SCCC Inv., Eagle
Boulevard, Norse, WHAC IV, V-Hawk, Bronco Baker
NCAA Rattlers, NCAA KU CURE, NCAA Prairie View


Team Power Ranking has been updated thru Week 17.

2003-2004
Rachel Chase | IL - Urbana
Rachel
Chase

IL - Urbana


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Sunday, April 21, 2019



2018-2019
PLAYER AVERAGES


TOP PLAYERS

MEN
by Average
All Evts / Tier 1
by Avg Diff
All Evts / Tier 1

WOMEN
by Average
All Evts / Tier 1
by Avg Diff
All Evts / Tier 1


TOP ROOKIES

MEN
by Average
All Evts / Tier 1
by Avg Diff
All Evts / Tier 1

WOMEN
by Average
All Evts / Tier 1
by Avg Diff
All Evts / Tier 1


ALL PLAYERS

MEN
by Average
All Evts / Tier 1
by Avg Diff
All Evts / Tier 1

WOMEN
by Average
All Evts / Tier 1
by Avg Diff
All Evts / Tier 1



CollegeBowling.com's
2018-2019: TOP ROOKIES | by AVERAGE | ALL EVENTS
Men's Division | minimum 24 games

thru February 17, 2019 

 


NO

NAME SCHOOL GM AVG E 1 5 10 25 F-AVG A-DIFF
1. Roers, MaxwellMount Mercy41209.70780134183.12326.584
2. Kicmal, RobertSt. Francis-IL49207.98080135185.78322.196
3. Stelling, GageNW Ohio63206.540131345181.48025.059
4. Rodriguez, JorgeLincoln Mem.43206.04780224181.14224.905
5. Imhoff, JoshOK Christian64205.813102556178.86926.943
6. Carlisi, RyanWm. Paterson25205.72050233179.46926.251
7. Sasser, ZacharyWI-Whitewater30204.33381112175.00729.326
8. Herriges, JacobWash. St.24203.87540023186.07517.800
9. Price, ZacharyTN Wesleyan30202.83350012184.13118.702
10. Graveel, NicholasMarian44202.75080233181.56221.188
11. Gromlovits, TylerBaker52202.09680224182.30819.788
12. Hankey, TommyWebber Int.32201.87590112183.75818.117
13. Roos, YannickSCAD-Savannah29201.82880011179.52622.302
14. Sheehy, QuinnWI-Whitewater49201.469120334178.49122.979
15. Machin, HunterWm. Paterson50200.760101224179.42921.331
16. Miller, JaydenColorado Mesa52200.42390238182.06018.363
17. Tynda, TannerGrand View48200.18890134184.22615.961
18. Holl, BrendanClarke43199.34990333183.05816.290
19. Vandelune, TylerGrand View26199.19260002182.65116.541
20. Mirabile, MichaelSt. John's50199.18081235178.29720.883
21. Mcclain, MarcusIndiana Tech47198.447111235179.68718.759
22. Connelly, SeanWI-Whitewater25197.60070000175.24822.352
23. Hansche, MaguireWI-Whitewater25197.44070111175.83521.605
24. Frantz, BryceCumberlands44197.43280145179.93717.494
25. Kleer, JonathanRobert Morris-PA54197.352111226175.21222.140
26. Lipko, JoshNew Jersey IT48197.18881334175.82921.359
27. Walsh, CollinWest Texas66197.061121334177.22819.833
28. Cruz, BrandonLindenwood31196.83970112179.69617.143
29. Sacks, PaulPikeville34196.79460012181.68615.108
30. Mcdonald, SamuelCorning CC33196.60660235180.32916.277
31. Olson, AndrewWI-Madison42196.07170224177.05819.014
32. Beuthin, BrettRock Valley53196.03890047176.24219.796
33. Kreiner, BrandonOlivet45195.956110246174.20721.748
34. Verhaeghe, AustinJudson45195.88990015180.40515.484
35. Ciero, JonathanWright State38195.737110224179.26116.476
36. Myers, ChristopherMidland32195.40670022180.81814.589
37. Doneghy, JoshuaEmmanuel37195.16280233178.57916.583
38. Peterson, MasonWI-Whitewater25195.12060011175.50619.614
39. Hoffer, JoshuaMuskingum48194.979101224180.15614.823
40. Hodsdon, JeromeyWI-Milwaukee61194.918110245177.91517.003
41. Moore, TylerLindsey Wilson45194.62280124183.31911.303
42. Acosta, AlexSaint Xavier49194.24590003181.29212.953
43. Marks, JoshuaRobert Morris-PA50194.220110235175.64918.571
44. Prockish, BraydenNewman57194.211110014180.00714.203
45. McCann, AndrewOK Christian60193.967100123179.20414.763
46. Tesch, TylerViterbo49193.93990024178.64015.298
47. Peterson, TyWI-Whitewater28193.42960000173.90919.520
48. Youngblood, JosiahWest Texas43193.39580023177.26216.133
49. Hunter, TylerMidland32193.375100000179.92813.447
50. Bare, RyanPikeville43193.372100001182.60610.766

GM - # of games bowled by player / AVG - average of player
E - # of events bowled / 1 5 10 25 - # of finishes at #1 or in top 5, 10, and 25
F-AVG - field average / A-DIFF - difference between average and field average