Randy FloresSS ACL Angels
Age 25 L/R 5'9" / 180 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2037 peak 0.4 · 2029
wRC+†66
AVG/OBP/SLG.213 / .275 / .322
PA83
HR1
K%28
BB%7
MLB%0%
BAT: -3.2 runs (wOBA-derived runs vs avg)-3BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +2.4 runs (Replacement-level credit)+2REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
0.4peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$1.0M
2035Ext / FA-deal$0.2M
2036Extbeyond projection horizon · no WAR estimate
2037Extbeyond projection horizon · no WAR estimate
Totals $3M $-8M -$11M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202423 AInland Empire 66ers 9282 14302 5172 41 .171.236.280.516 .110.185 185 .233 37 -7 +0 +0 +1 +3 -0.3
202524 ROKACL Angels 3027 5310 380 00 .185.267.370.637 .185.263 2710 .235 38 -2 +0 +0 +0 +1 -0.1
▸ 2026 Season
202625 MLBLAA 8376 16311 6241 10 .211.277.316.593 .105.288 297 .271 66 -3 +0 +0 +1 +2 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 10%LAA 140128 28513 10391 21 .219.281.344.624 .125.290 287 .283 74 -4 +0 +0 +2 +4 0.1
202827 MLB 25%LAA 228207 46825 17632 41 .222.288.353.640 .130.291 287 .286 77 -6 +0 +0 +2 +6 0.3
202928 MLB 36%LAA 289262 571026 22793 41 .218.286.340.625 .122.290 278 .287 77 -7 +0 -1 +3 +8 0.4
203029 MLB 46%LAA 322291 651227 25893 41 .223.292.351.642 .127.290 288 .285 77 -9 +0 -1 +3 +9 0.3
203130 MLB 55%LAA 344311 671227 27963 40 .215.284.334.619 .119.288 288 .282 74 -10 +1 -2 +4 +10 0.2
203231 MLB 66%LAA 344311 671227 27983 20 .215.284.334.619 .119.287 288 .279 71 -11 +0 -3 +4 +10 -0.0
203332 MLB 75%LAA 335303 631126 26973 00 .208.277.317.594 .109.285 298 .274 68 -12 +0 -4 +4 +9 -0.3
203433 MLB 83%LAA 311281 591026 24923 00 .210.279.324.603 .114.284 308 .269 64 -13 +0 -4 +3 +9 -0.5
203534 MLBLAA 271246 51925 21822 00 .207.275.321.596 .114.282 308 .262 59 -13 +0 -5 +3 +8 -0.7
▸ Career Totals (MLE all levels + projections)
Career 27892525 538981955 21378426 255 .213.281.332.613 .119.284 288 .276 69 -96 +3 -20 +30 +79 -0.4
/ 162G 650588 12523413 501836 61 .213.281.332.613 .119.283 288 .276 69 -22 +1 -5 +7 +18 -0.1

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202423 AInland Empire 66ers 9279 16402 8122 41 .203.292.329.621 .127.209 139 .276 69 -3 +0 +3 -0.0
202524 ROKACL Angels 3025 6410 550 00 .240.367.480.847 .240.300 1717 .371 142 +1 +0 +1 0.2

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Randy Flores (OGILVIE) 25 .213/.275/.322 .109.288 11 28% 7% 66 -0.1
Logan Driscoll
2023 · A
25 42→45 45 49→40 41 .211/.275/.335 .124.295 136 32% 7% 69 -0.4 .225/.281/.350 .125.306 135 29% 6% 76 +0.0 .232/.286/.359.127.31113329%5%76+0.1
Shayne Fontana
2022 · AA
25 41 42→45 48→55 46 .197/.276/.303 .106.284 99 32% 9% 61 -1.0 .215/.297/.325 .110.300 1114 30% 9% 76 +0.1 .222/.305/.326.104.296111927%8%77+0.1
Patrick Dorrian
2021 · A
25 42→37 43→55 51→45 41 .206/.260/.322 .117.290 96 31% 6% 59 -1.1 .198/.265/.350 .152.297 186 37% 8% 69 -0.4 .189/.258/.354.165.27522538%8%64-0.5
Drew Campbell
2023 · A
25 46 43→55 49→50 39 .229/.271/.337 .109.301 1112 28% 5% 66 -0.6 .228/.272/.359 .131.310 1513 30% 4% 74 -0.1 .225/.265/.384.158.300221532%3%76+0.0
Kody Clemens
2021 · AA
25 40→43 44→60 51→45 43 .202/.264/.324 .123.275 119 30% 7% 62 -0.9 .208/.262/.373 .165.263 208 29% 6% 73 -0.1 .216/.278/.416.200.24726825%7%88+0.6
Matt Lloyd
2021 · A
25 44→42 46→50 46→50 42 .218/.279/.349 .131.306 139 32% 7% 74 -0.1 .215/.282/.373 .158.319 207 37% 7% 82 +0.5 .214/.289/.352.138.288171230%9%78+0.1
Ryan Fitzgerald
2019 · A
25 44 44→55 47→45 40 .219/.260/.328 .110.278 127 26% 5% 60 -1.0 .213/.266/.319 .106.290 97 28% 6% 60 -1.0 .225/.292/.365.140.28614725%7%80+0.2
Austin Davidson
2018 · A
25 43 42→45 45 45 .210/.273/.315 .104.261 97 23% 7% 63 -0.9 .225/.286/.345 .120.282 106 23% 7% 76 +0.0 .224/.288/.352.128.27511322%7%75-0.0
Taylor Grzelakowski
2018 · A
24 43 40→45 50→30 42 .211/.263/.307 .096.286 88 28% 6% 56 -1.3 .215/.275/.312 .097.328 73 34% 7% 62 -0.9 .204/.270/.296.092.3116134%8%54-0.8
Drake Osborn
2023 · A
25 40 43→50 49→40 42 .201/.266/.309 .108.276 116 30% 7% 59 -1.1 .189/.244/.301 .112.256 134 31% 6% 47 -1.9 .179/.231/.285.106.23913231%5%35-1.3
César Salazar
2021 · A
25 44→40 41→45 46→45 43 .214/.269/.311 .097.262 97 22% 5% 59 -1.1 .209/.277/.344 .135.255 168 25% 6% 73 -0.1 .201/.292/.321.120.23614621%7%72-0.1
Chris Meyers
2023 · A
24 42→46 44→50 51→40 43 .212/.273/.333 .122.278 129 28% 7% 67 -0.5 .228/.285/.377 .149.300 185 29% 6% 85 +0.7 .226/.286/.378.152.29419329%6%82+0.3
Sean Jamieson
2014 · A
25 44→46 44→45 51→50 45 .214/.283/.334 .120.278 1012 26% 7% 72 -0.2 .229/.289/.338 .109.309 99 27% 6% 75 -0.0 .230/.289/.325.094.3197728%6%68-0.2
DaShawn Keirsey Jr.
2022 · A
25 35→45 45→50 53→60 40 .180/.251/.302 .122.279 1314 38% 8% 50 -1.7 .231/.283/.350 .119.327 1131 31% 6% 76 +0.0 .245/.299/.367.122.338113629%6%83+0.5
Matthew Acosta
2022 · A
24 45 44→45 53→50 46 .219/.290/.343 .124.299 119 29% 8% 77 +0.1 .205/.273/.316 .111.294 1113 32% 8% 63 -0.9 .181/.252/.276.095.261101633%8%42-1.4
Christopher Familia
2023 · A
23 40 45→55 47→45 45 .204/.281/.326 .122.262 138 27% 7% 70 -0.3 .219/.278/.391 .172.284 224 30% 6% 85 +0.7 .215/.266/.411.196.27028032%5%81+0.2
Mike Gilmartin
2012 · A
25 43→47 42→45 47→45 41 .210/.266/.325 .115.293 87 30% 6% 62 -0.9 .214/.278/.317 .103.293 105 29% 7% 65 -0.7 .206/.278/.296.089.27910428%8%57-0.9
Mitchell Tolman
2019 · A
25 44→47 40→45 45→50 48 .211/.286/.301 .089.282 79 26% 8% 65 -0.7 .212/.281/.308 .096.301 89 30% 8% 65 -0.7 .215/.285/.332.118.28411827%7%70-0.2
Bobby Kingsbury
2007 · A
26 42 45→50 47→50 44 .210/.277/.340 .130.280 128 29% 7% 71 -0.3 .217/.273/.342 .125.275 1212 25% 6% 69 -0.4 .211/.266/.341.130.260121423%6%65-0.5
Ryan Schimpf
2012 · A
24 38→39 46→60 51→45 40 .193/.263/.329 .136.276 138 33% 7% 63 -0.9 .199/.276/.370 .171.267 205 32% 8% 79 +0.3 .201/.284/.419.218.23528228%9%91+0.9