Wedo Villaflor  
Shortstop | Retired or Inactive Players

Hitting
The book on Villaflor is that you can knock the bat out of his hands with an average major league fastball. He hits righthanders and lefthanders with equal consistency. You can expect Wedo Villaflor to hit the ball to the opposite field... that's just the kind of hitter he is. It's hard to explain but Wedo Villaflor plays much better on the road then he does at home.

Baserunning & Defense
Villaflor doesn't have great speed, though he reads righthanders' moves well enough to steal a handful of bases each season without getting caught very often. Minor league scouts have accused Villaflor of being a liability in the field. Wedo's arm leaves a little to be a desired.

2025 Outlook
Villaflor flat-out isn't ready for this level of competition. Expect the Retired or Inactive Players to send him down promptly.

          -- Moostard Nyman

 

Player Skills Yearly Scouting Report Cards
Year Team POS CH PH SP GF PL vL Hm Sc CL Age Exp Slot FA AS Qualified Positions Nyman Rating
2001 MMM SS 50 41 48 52 45 54 42 49 48 26 0 Active 41 59 2B-20 217
2002 MMM SS 50 46 49 52 45 54 42 49 48 27 1 Active 43 59 2B-21 226
2003 MMM SS 53 52 50 52 45 54 42 49 48 28 2 AA/AAA 44 59 2B-22, LF-32, 1B-35 242
2004 MMM SS 56 55 50 52 45 54 42 49 48 29 3 AA/AAA 44 58 2B-21, LF-30, 1B-38 252
2005 MMM SS 58 60 49 52 45 54 42 49 48 30 4 Active 44 58 2B-19, LF-29, 1B-42 262
2006 MON SS 59 63 49 52 45 54 42 49 48 31 5 Active 44 58 2B-19, LF-27, 1B-38 269
2007 MON SS 60 63 49 52 45 54 42 49 48 32 6 Active 44 58 2B-16, LF-23, 1B-40 269
2008 FA SS 61 62 49 52 45 54 42 49 48 33 7 Free Agent 44 57 2B-13, LF-19, 1B-40 268
2009 FA SS 60 62 46 52 45 54 42 49 48 34 8 Free Agent 44 58 2B-13, LF-17, 1B-40 263
2010 FA SS 60 62 44 52 45 54 42 49 48 35 9 Free Agent 43 58 2B-12, LF-16, 1B-38 260
2011 FA SS 59 61 40 52 45 54 42 49 48 36 10 Free Agent 42 58 2B-11, LF-13, 1B-36 251
2012 FA SS 55 59 37 52 45 54 42 49 48 37 11 Free Agent 41 56 2B-10, LF-13, 1B-35 236
Ratings Delta -4 -2 -3             +1 +1   -1 -2   -15

CBL Collegiate League Yearly Statistical Records
Year Age Team G AB R H 2B 3B HR RBI RC BB SO K/BB SB CS OBP SLG Pro LHP RHP E Pct AVG
Totals     0 0 0 0 0 0 0 0 0 0 0 0.000 0 0 .000 .000 .000 .000 .000 0 .000 .000

CBL Pioneer League Yearly Statistical Records
Year Age Team G AB R H 2B 3B HR RBI RC BB SO K/BB SB CS OBP SLG Pro LHP RHP E Pct AVG
2003 28 PHUM 33 127 17 33 7 0 1 16 14 16 21 1.313 1 0 .358 .339 .697 .222 .275 0 1.00 .260
2004 29 PHUM 29 114 13 29 9 0 3 20 15 14 16 1.143 0 0 .348 .412 .760 .250 .257 0 1.00 .254
2006 31 PHUR 8 23 5 5 0 0 1 2 3 8 2 0.250 0 0 .419 .348 .767 .227 .000 0 1.00 .217
2007 32 PHUR 1 4 1 0 0 0 0 0 0 0 0 0.000 0 0 .000 .000 .000 .000 .000 0 .000 .000
2011 36 PJAS 28 104 9 31 6 0 3 11 17 12 10 0.833 1 0 .364 .442 .806 .258 .315 0 1.00 .298
2012 37 PJAS 17 54 7 16 2 0 2 3 9 8 5 0.625 0 0 .397 .444 .841 .357 .275 0 1.00 .296
Totals     116 426 52 114 24 0 10 52 58 58 54 0.931 2 0 .366 .394 .760 .250 .276 0 1.00 .268

CBL Major League Yearly Statistical Records
Year Age Team G AB R H 2B 3B HR RBI RC BB SO K/BB SB CS OBP SLG Pro LHP RHP E Pct AVG
2001 26 MMM 91 330 39 68 18 0 7 35 30 37 67 1.811 2 1 .296 .324 .620 .208 .205 1 .800 .206
2002 27 MMM 48 163 18 37 3 0 4 13 15 16 43 2.688 0 0 .315 .319 .634 .222 .250 0 .000 .227
2005 30 MMM 55 187 20 42 6 0 3 19 17 23 42 1.826 1 0 .323 .305 .628 .207 .233 0 1.00 .225
2006 31 MON 11 38 4 6 0 0 1 1 1 3 9 3.000 0 0 .220 .237 .457 .000 .000 0 1.00 .158
Totals     205 718 81 153 27 0 15 68 63 79 161 2.038 3 1 .303 .313 .616 .215 .212 1 .000 .213

Wedo Villaflor's Comparable Players
Player Names
Mackey Peacock 97.8% Maurquise Gurr 97.1% Dan Bowman 97.0% Jud Jelsma 97.0% Dan Torp 96.8%

Tip - Click on the club abbreviation to get further details and history.
Transfer history draft picks in brackets indicate the actual pick number in the draft wasn't determined at the time of the deal being made.
Report Cards generated by Biorhythm v2.7.82 on Fri Aug 12 01:15:47 CEST 2011
Report card data printed in red denotes that player was in the top two percent for that category and year. Blue data denotes membership to the bottom two percent.