Francisco PerezC DSL Rangers Red
Age 19 R/R 6'0" / 188 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 3.1 · 2033
wRC+60
AVG/OBP/SLG.207 / .272 / .303
PA110
HR1
K%29
BB%7
MLB%0%
BAT: -5.0 runs (wOBA-derived runs vs avg)-5BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.0 runs (Positional adjustment)+2POSREP: +3.1 runs (Replacement-level credit)+3REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
3.1peak
2033

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+3.0$29M+$28M
2033Ext / FA-deal$1.0M+3.1$31M+$30M
2034Ext / FA-deal$1.0M+3.1$31M+$30M
2035Ext / FA-deal$6M+2.9$30M+$24M
2036Ext / FA-deal$9M+2.8$30M+$21M
2037Ext / FA-deal$12M+2.6$29M+$16M
Totals $30M $180M +$150M

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
202518 ROK2 teams 195171 35406 10406 41 .205.273.333.606 .129.223 215 .256 54 -10 +0 +0 +3 +6 -0.1
▸ 2026 Season
202619 MLB 110100 21411 8321 20 .210.275.300.575 .090.289 297 .263 60 -5 +0 +0 +2 +3 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11% 199179 40714 16552 41 .223.294.341.635 .117.297 288 .291 81 -4 +0 +0 +4 +6 0.5
202821 MLB 28% 332297 681228 28894 72 .229.304.364.668 .135.298 278 .302 89 -4 +1 +0 +6 +9 1.2
202922 MLB 48% 428382 8915311 381125 102 .233.311.374.685 .141.298 269 .310 96 -2 +1 +0 +8 +12 1.9
203023 MLB 65% 492438 10418314 451266 122 .237.317.388.705 .151.299 269 .317 101 +0 +2 +0 +9 +14 2.5
203124 MLB 82% 520459 11219416 491317 132 .244.326.407.734 .163.299 259 .321 104 +2 +2 +0 +9 +15 2.9
203225 MLB 520458 11219416 501307 132 .245.328.408.736 .164.300 2510 .325 107 +4 +2 +0 +9 +15 3.0
203326 MLB 520457 11119316 511307 122 .243.328.403.731 .160.300 2510 .326 108 +5 +2 +0 +9 +15 3.1
203427 MLB 520456 11019316 521317 122 .241.328.401.729 .160.300 2510 .326 108 +5 +2 +0 +9 +15 3.1
203528 MLB 520456 10918316 521327 112 .239.326.397.723 .158.300 2510 .325 107 +4 +1 -1 +9 +15 2.9
203629 MLB 520455 10918316 531337 101 .240.328.398.726 .158.299 2610 .323 105 +3 +2 -1 +9 +15 2.8
203730 MLB 520455 10718315 531357 91 .235.324.387.711 .152.298 2610 .320 103 +2 +1 -2 +9 +15 2.6
203831 MLB 504442 10417315 511336 70 .235.323.389.712 .154.296 2610 .316 100 +0 +1 -3 +9 +14 2.2
203932 MLB 489431 9916314 491326 40 .230.317.378.695 .148.295 2710 .312 97 -2 +1 -4 +9 +14 1.8
204033 MLB 450397 9015312 451245 20 .227.313.370.683 .144.293 2810 .306 92 -4 +0 -4 +8 +13 1.3
204134 MLB 394347 7612210 391125 10 .219.307.352.658 .133.292 2810 .300 87 -6 +0 -5 +7 +11 0.8
204235 MLB 335295 641028 33994 00 .217.304.346.650 .129.290 3010 .292 82 -7 +0 -6 +6 +9 0.3
204336 MLB 274242 51826 27843 00 .211.298.335.633 .124.287 3110 .283 75 -8 +0 -6 +5 +8 -0.1
204437 MLB 213189 38614 20672 00 .201.284.307.591 .106.283 319 .273 67 -8 +0 -7 +4 +6 -0.5
▸ Career Totals (MLE all levels + projections)
Career 80557106 164927449224 7692127104 13320 .232.316.379.695 .147.297 2610 .311 96 -34 +19 -38 +144 +228 32.4
/ 162G 650573 13322418 621728 112 .232.315.379.694 .147.297 2610 .311 96 -3 +1 -3 +12 +18 2.6

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
202518 ROKDSL Rangers Red 132111 31407 11195 31 .279.370.505.875 .225.270 148 .372 143 +6 +0 +4 1.1
202518 INTLTucson Baseball Team 6355 11102 491 10 .200.267.327.594 .127.200 146 .257 55 -3 +0 +2 -0.1

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
Francisco Perez (OGILVIE) 19 .207/.272/.303 .096.289 12 29% 7% 60 -0.2
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
Agustín Ramírez
2021 · A
19 40→45 41→55 46→50 40 .199/.248/.293 .095.266 85 28% 5% 46 -2.0 .208/.268/.334 .126.284 138 30% 7% 66 -0.6 .230/.293/.405.176.264221622%7%92+1.1
Jackson Chourio
2022 · A
18 44→54 42→55 49→55 45 .217/.279/.319 .102.277 1010 25% 7% 66 -0.6 .233/.280/.389 .156.311 1819 30% 6% 85 +0.7 .261/.307/.430.168.314192623%6%101+1.8
Dilson Herrera
2013 · A
19 44→54 42→50 51→50 44 .214/.271/.330 .115.275 913 25% 6% 65 -0.7 .235/.285/.365 .130.305 1312 26% 6% 80 +0.4 .257/.307/.397.140.313151322%6%94+1.2
Renato Núñez
2013 · A
19 44→51 43→60 48→30 38 .215/.262/.330 .115.285 95 27% 4% 61 -1.0 .213/.253/.351 .138.277 173 29% 4% 64 -0.8 .238/.308/.452.215.27831126%7%111+1.7
Elias Díaz
2010 · A
19 42→52 40→50 43→45 44 .205/.267/.300 .095.269 85 26% 7% 56 -1.3 .185/.233/.263 .078.242 54 25% 5% 31 -3.0 .253/.312/.392.139.28017016%7%96+0.8
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Travis d'Arnaud
2008 · A
19 41→51 41→60 47→45 38 .203/.244/.295 .091.254 108 24% 4% 44 -2.1 .210/.253/.324 .114.254 116 22% 4% 56 -1.3 .260/.320/.458.198.29127120%7%116+1.5
Alex Liddi
2008 · A
19 41→51 41→60 47→50 36 .200/.246/.304 .104.297 87 34% 5% 48 -1.9 .229/.277/.361 .132.323 128 31% 6% 76 +0.1 .241/.296/.424.182.33620533%6%99+1.7
Ronarsy Ledesma
2012 · A
19 42 42→45 47→50 43 .205/.277/.309 .104.271 98 27% 6% 64 -0.8 .224/.284/.326 .102.290 511 24% 5% 70 -0.3 .226/.280/.337.111.29161123%4%69-0.2
Jett Williams
2023 · A
19 45 41→55 55 43 .216/.285/.315 .099.290 713 27% 7% 68 -0.5 .204/.313/.323 .119.295 1023 31% 12% 83 +0.6 .202/.308/.336.135.284112630%12%81+0.3
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+0.7
Luis Campusano
2018 · A
19 43→53 41→50 42→30 44 .214/.269/.309 .096.275 104 26% 6% 59 -1.1 .248/.300/.359 .111.296 112 19% 6% 85 +0.7 .261/.327/.424.162.29521119%8%110+1.4
Lane Thomas
2015 · A
19 45→51 37→55 51→55 43 .210/.271/.289 .080.308 39 31% 8% 54 -1.4 .192/.258/.279 .087.311 612 37% 8% 47 -1.9 .248/.312/.427.179.308211325%7%107+2.0
Samad Taylor
2017 · A
19 45→53 38→50 50→65 42 .214/.267/.294 .079.292 59 27% 6% 53 -1.5 .194/.259/.286 .092.272 618 29% 7% 50 -1.8 .236/.312/.377.141.324164630%9%94+0.8
Vaughn Grissom
2021 · A
20 44→54 39→50 51→55 44 .214/.271/.302 .088.272 76 23% 6% 58 -1.2 .265/.329/.388 .123.318 1115 19% 7% 105 +2.1 .283/.348/.417.134.334121718%7%116+2.4
Jesus Rodriguez
2021 · A
19 46→56 42→45 49→50 46 .224/.285/.337 .113.288 99 25% 8% 72 -0.2 .233/.299/.337 .104.295 612 21% 8% 79 +0.3 .254/.316/.360.106.307101619%7%89+0.7
Trevor Story
2012 · A
19 42→52 43→65 54→55 44 .209/.272/.318 .108.282 1012 29% 7% 63 -0.8 .193/.253/.326 .133.287 1312 36% 7% 57 -1.2 .270/.336/.500.231.327292526%8%134+3.6
Bo Naylor
2019 · A
19 44→43 39→55 52→50 46 .211/.278/.300 .089.298 69 30% 8% 60 -1.0 .194/.251/.313 .119.273 117 31% 7% 53 -1.5 .216/.308/.399.183.269221228%11%97+1.2