Ramy PeraltaC DSL Arizona Red
Age 19 R/R 6'1" / 156 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 3.0 · 2033
wRC+54
AVG/OBP/SLG.200 / .267 / .291
PA90
HR1
K%31
BB%7
MLB%0%
BAT: -4.6 runs (wOBA-derived runs vs avg)-5BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.6 runs (Positional adjustment)+2POSREP: +2.5 runs (Replacement-level credit)+3REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
3.0peak
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+2.9$28M+$27M
2033Ext / FA-deal$1.0M+3.0$30M+$29M
2034Ext / FA-deal$1.0M+3.0$30M+$29M
2035Ext / FA-deal$6M+2.8$29M+$24M
2036Ext / FA-deal$9M+2.7$29M+$20M
2037Ext / FA-deal$12M+2.5$28M+$16M
Totals $29M $174M +$144M

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 ROKDSL Arizona Red 10588 11101 14443 20 .125.267.170.437 .045.233 4213 .225 30 -8 +0 +0 +2 +3 -0.3
▸ 2026 Season
202619 MLB 9082 17311 7281 10 .207.278.305.583 .098.290 318 .256 54 -5 +0 +0 +2 +3 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11% 180161 35614 15532 31 .217.292.342.634 .124.298 298 .285 76 -5 +0 +0 +3 +5 0.4
202821 MLB 28% 317282 641128 28904 71 .227.306.365.671 .138.299 289 .299 87 -5 +1 +0 +6 +9 1.1
202922 MLB 48% 417371 8514311 381155 102 .229.309.372.681 .143.300 289 .308 94 -3 +1 +0 +7 +12 1.8
203023 MLB 65% 484429 10017314 461316 112 .233.316.385.701 .152.300 2710 .315 99 -1 +1 +0 +9 +14 2.4
203124 MLB 82% 520458 10918416 511396 122 .238.322.400.722 .162.301 2710 .319 102 +1 +2 +0 +9 +15 2.8
203225 MLB 520457 10918416 521386 122 .239.324.400.725 .162.301 2710 .322 105 +3 +2 +0 +9 +15 2.9
203326 MLB 520455 10818316 531387 122 .237.326.396.722 .158.302 2710 .324 106 +4 +2 +0 +9 +15 3.0
203427 MLB 520455 10818316 531387 122 .237.326.396.722 .158.302 2710 .324 106 +4 +2 +0 +9 +15 3.0
203528 MLB 520455 10718316 541396 112 .235.324.393.718 .158.302 2710 .323 105 +3 +1 -1 +9 +15 2.8
203629 MLB 520455 10718316 541416 101 .235.324.393.718 .158.301 2710 .321 104 +2 +2 -1 +9 +15 2.7
203730 MLB 520455 10618315 541436 91 .233.322.385.707 .152.299 2810 .318 101 +1 +1 -2 +9 +15 2.5
203831 MLB 504441 10217315 521406 70 .231.321.385.706 .154.298 2810 .314 98 -1 +1 -3 +9 +14 2.1
203932 MLB 489429 9716314 511396 40 .226.317.375.692 .149.296 2810 .309 95 -3 +1 -4 +9 +14 1.7
204033 MLB 448394 8714312 461305 20 .221.310.363.673 .142.295 2910 .304 91 -5 +0 -4 +8 +13 1.2
204134 MLB 392345 7412210 401174 10 .214.303.348.651 .133.293 3010 .297 86 -6 +0 -5 +7 +11 0.7
204235 MLB 332291 621028 341034 00 .213.304.344.648 .131.291 3110 .290 80 -8 +0 -6 +6 +9 0.2
204336 MLB 271239 50826 27873 00 .209.297.335.632 .126.288 3210 .281 73 -8 +0 -6 +5 +8 -0.2
204437 MLB 211186 37614 21692 00 .199.287.306.594 .108.284 3310 .271 66 -8 +0 -7 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 78806928 157526149219 790222295 12618 .227.315.374.689 .147.299 2810 .309 95 -48 +18 -38 +141 +223 30.2
/ 162G 650571 13022418 651838 101 .228.315.375.690 .147.300 2810 .309 95 -4 +2 -3 +12 +18 2.5

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 Arizona Red 10580 18212 22273 20 .225.410.350.760 .125.314 2621 .359 133 +4 +0 +3 0.7

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
Ramy Peralta (OGILVIE) 19 .200/.267/.291 .091.290 11 31% 7% 54 -0.2
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
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
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
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
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
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
Wilin Rosario
2008 · A
19 39→49 37→60 45 35 .189/.235/.257 .068.297 66 37% 5% 31 -3.0 .219/.259/.344 .125.302 145 31% 5% 64 -0.8 .265/.302/.457.192.30126421%5%107+1.6
Pedro Severino
2012 · A
19 38→48 39→50 49→45 40 .187/.241/.272 .084.263 65 30% 6% 37 -2.6 .189/.233/.264 .075.239 53 22% 4% 31 -3.0 .246/.315/.384.137.30417324%8%95+0.7
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
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
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
Amed Rosario
2015 · A
19 39→49 40→50 43→55 36 .196/.231/.287 .092.270 75 30% 4% 37 -2.7 .236/.274/.327 .091.314 412 25% 4% 64 -0.8 .286/.323/.422.136.344121420%5%107+1.7
Christian Vázquez
2010 · A
19 43→53 36→50 48→45 40 .200/.257/.272 .072.296 35 32% 6% 43 -2.2 .209/.259/.309 .100.278 103 27% 6% 55 -1.4 .263/.314/.411.148.30118819%7%101+1.2
Jamie Westbrook
2014 · A
19 45→52 39→55 50→45 43 .213/.267/.306 .093.280 46 25% 6% 56 -1.3 .230/.270/.337 .107.280 97 21% 4% 66 -0.6 .245/.316/.386.141.28815420%8%96+1.1
Luis Torrens
2016 · A
20 42→49 38→55 49→30 44 .201/.271/.276 .075.277 55 28% 7% 52 -1.6 .207/.270/.291 .084.263 64 22% 7% 55 -1.4 .228/.285/.376.148.28819027%7%82+0.3
Michael Chavis
2015 · A
19 44→47 38→60 48→45 39 .203/.258/.292 .090.318 48 36% 6% 50 -1.8 .193/.237/.327 .134.278 156 35% 4% 50 -1.7 .235/.292/.438.203.30429332%6%100+1.1
Ezequiel Tovar
2021 · A
19 44→50 37→55 50 44 .206/.273/.280 .074.302 314 31% 8% 53 -1.5 .239/.275/.375 .136.286 1415 22% 4% 79 +0.3 .251/.287/.420.170.321191128%4%93+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
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
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