Nestor Miranda3B DSL Tigers 2
Age 20 R/R 6'3" / 225 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 2.0 · 2033
wRC+†68
AVG/OBP/SLG.199 / .279 / .321
PA115
HR3
K%32
BB%9
MLB%0%
BAT: -4.1 runs (wOBA-derived runs vs avg)-4BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.4 runs (Positional adjustment)+0POSREP: +3.3 runs (Replacement-level credit)+3REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
2025
PWR
4348
SPD
4651
EYE
5762
trajectory · 10 yrs
2.0peak
2032

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+1.9$18M+$17M
2033Ext / FA-deal$1.0M+2.0$20M+$19M
2034Ext / FA-deal$1.0M+1.9$19M+$18M
2035Ext / FA-deal$3M+1.7$18M+$14M
2036Ext / FA-deal$5M+1.4$15M+$10M
2037Ext / FA-deal$6M+1.2$13M+$7M
Totals $17M $103M +$86M

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
202418 ROKDSL Tigers 1 8671 7101 14421 20 .099.256.155.411 .056.214 4916 .217 24 -7 +0 +0 +0 +2 -0.4
202519 ROKDSL Tigers 2 138122 21224 9576 34 .172.263.320.582 .148.274 417 .247 47 -8 -1 +0 +0 +4 -0.5
▸ 2026 Season
202620 MLBDET 115103 21313 10371 21 .204.281.340.621 .136.281 329 .275 68 -4 +0 +0 +0 +3 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%DET 200177 36615 19602 41 .203.288.333.621 .130.284 3010 .292 82 -4 +0 +0 +1 +6 0.3
202822 MLB 28%DET 325286 621129 32944 72 .217.304.364.668 .147.285 2910 .303 90 -4 +1 +0 +1 +9 0.7
202923 MLB 48%DET 411361 8014213 421155 82 .222.311.380.691 .158.286 2810 .310 95 -2 +1 +0 +1 +12 1.2
203024 MLB 62%DET 468410 9216315 491296 92 .224.316.388.704 .163.286 2810 .314 99 -1 +1 +0 +2 +13 1.5
203125 MLB 80%DET 501437 9917316 531386 102 .227.319.389.708 .162.287 2811 .317 101 +1 +1 +0 +2 +14 1.8
203226 MLB 94%DET 520453 10318317 561436 102 .227.320.393.713 .166.287 2811 .319 102 +1 +1 +0 +2 +15 1.9
203327 MLBDET 527458 10318317 581456 102 .225.320.389.709 .164.287 2811 .319 102 +1 +1 +0 +2 +15 2.0
203428 MLBDET 527458 10318317 581466 102 .225.320.389.709 .164.287 2811 .318 101 +1 +1 -1 +2 +15 1.9
203529 MLBDET 520451 10117317 581466 91 .224.320.388.708 .164.286 2811 .316 100 -0 +1 -1 +2 +15 1.7
203630 MLBDET 511443 9817316 571456 91 .221.318.381.700 .160.284 2811 .313 97 -1 +1 -2 +2 +14 1.4
203731 MLBDET 498434 9416315 551436 80 .217.313.371.684 .154.283 2911 .309 95 -3 +2 -3 +2 +14 1.2
203832 MLBDET 481419 8915214 531416 70 .212.310.358.668 .146.281 2911 .304 91 -5 +1 -4 +2 +14 0.8
203933 MLBDET 452394 8314213 501365 70 .211.307.355.663 .145.280 3011 .299 87 -7 +1 -4 +2 +13 0.5
204034 MLBDET 406355 7212211 441254 60 .203.298.341.639 .138.278 3111 .292 82 -8 +1 -5 +1 +12 0.1
204135 MLBDET 352307 611029 381124 60 .199.295.332.627 .134.275 3211 .284 76 -10 +1 -6 +1 +10 -0.3
▸ Career Totals (MLE all levels + projections)
Career 70386139 132522540212 755205486 12722 .216.310.369.679 .153.285 2911 .306 92 -61 +17 -25 +25 +199 15.8
/ 162G 650567 12321420 701908 122 .217.312.374.686 .157.286 2911 .306 92 -6 +2 -2 +2 +18 1.5

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
202418 ROKDSL Tigers 1 8662 11202 23291 20 .177.407.306.713 .129.290 3427 .347 124 +2 +0 +2 0.5
202519 ROKDSL Tigers 2 138116 30326 15396 34 .259.372.474.846 .216.333 2811 .374 145 +7 -1 +4 1.0

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
Nestor Miranda (OGILVIE) 20 20→25 43→48 46→51 62 .199/.279/.321 .123.281 32 32% 9% 68 -0.1
Kevin Padlo
2016 · A
20 39→40 46→55 50 46 .198/.273/.333 .136.268 138 30% 8% 68 -0.5 .186/.271/.313 .127.268 128 33% 10% 63 -0.9 .191/.263/.361.170.260211235%8%69-0.3
Rudy van Heydoorn
2009 · A
20 40 43→45 43→50 47 .193/.290/.298 .105.281 1110 32% 10% 67 -0.5 .182/.264/.285 .103.284 106 37% 8% 52 -1.6 .153/.236/.254.101.23711238%9%32-0.9
Alexander Canario
2019 · A
19 41→34 42→60 47→50 44 .203/.269/.309 .106.273 1012 28% 7% 59 -1.1 .209/.266/.356 .147.291 1711 33% 7% 70 -0.3 .209/.277/.424.216.279301336%8%90+0.6
Carlos Jimenez
2023 · A
20 38→41 46→50 53→55 45 .189/.278/.319 .129.289 1415 37% 10% 67 -0.5 .210/.289/.331 .121.326 1216 36% 9% 74 -0.1 .216/.296/.349.133.314151933%9%78+0.1
Sherten Apostel
2019 · A
20 39→32 45→50 44→40 48 .194/.282/.316 .122.280 135 33% 10% 67 -0.5 .194/.262/.321 .127.282 153 35% 8% 60 -1.0 .182/.245/.309.127.26416136%7%47-1.2
Bryan Ramos
2022 · A
20 40 45→50 49→50 41 .203/.270/.328 .125.273 128 30% 6% 66 -0.6 .212/.271/.357 .145.264 195 27% 6% 73 -0.1 .206/.264/.348.141.25120526%6%65-0.5
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Sean Coyle
2012 · A
20 38→36 49→50 53→50 42 .198/.271/.352 .155.274 1613 33% 7% 72 -0.2 .199/.257/.341 .142.284 1613 34% 6% 63 -0.8 .197/.258/.362.165.284221538%7%67-0.3
Jose Meza
2023 · A
20 41→35 41→45 47→50 40 .199/.265/.295 .096.286 910 32% 6% 55 -1.4 .204/.294/.305 .101.301 98 32% 10% 70 -0.3 .186/.292/.283.097.27791033%11%63-0.5
Esmerlyn Valdez
2023 · A
19 42 45→55 45→40 43 .206/.283/.328 .122.292 135 32% 8% 71 -0.3 .197/.275/.334 .137.303 164 38% 8% 69 -0.4 .194/.284/.363.169.27823237%9%78+0.1
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
Will Benson
2019 · A
21 30→40 47→55 47→55 44 .163/.256/.291 .128.251 169 40% 10% 51 -1.7 .179/.262/.333 .154.273 1914 39% 10% 64 -0.8 .221/.322/.401.180.313182632%12%102+1.4
Brian Sanchez
2016 · A
20 38 41→60 47→45 34 .187/.243/.288 .102.298 98 38% 5% 43 -2.2 .202/.260/.333 .131.304 144 36% 6% 62 -0.9 .203/.267/.358.155.29218035%7%70-0.1
Garrett Whitley
2017 · A
20 40→38 42→50 47→55 44 .197/.267/.302 .105.280 99 31% 8% 56 -1.3 .195/.276/.316 .121.323 1213 40% 9% 65 -0.7 .167/.259/.310.143.294151844%10%54-0.9
Jhostynxon Garcia
2023 · A
20 37→42 41→50 46→50 45 .182/.264/.278 .096.277 88 35% 9% 50 -1.7 .199/.261/.332 .133.287 1410 34% 6% 63 -0.9 .207/.263/.362.155.281191033%6%68-0.4
Jhonkensy Noel
2021 · A
20 40→41 45→60 46→45 40 .202/.266/.319 .118.270 137 30% 6% 62 -0.9 .219/.268/.394 .175.282 245 31% 5% 82 +0.5 .196/.258/.385.189.24226131%6%73-0.1
Ravel Santana
2010 · A
18 40 42→50 48→55 43 .195/.271/.297 .102.274 99 31% 8% 58 -1.2 .218/.289/.357 .139.282 1615 27% 8% 81 +0.4 .220/.291/.383.163.271202026%8%85+0.3
Johan Mieses
2016 · A
21 41→32 45→55 53→50 39 .208/.253/.334 .126.273 1215 28% 5% 59 -1.1 .188/.236/.349 .161.267 205 37% 5% 56 -1.3 .194/.269/.375.181.23726731%7%74-0.0
Yordyn Calderon
2014 · A
20 40 45 46→50 43 .202/.274/.326 .123.280 1211 31% 7% 66 -0.6 .189/.262/.282 .093.290 711 35% 7% 50 -1.7 .122/.202/.172.050.21221340%6%-4-2.0
Carlos Rodriguez
2023 · A
20 38 40→45 47→45 45 .183/.271/.272 .089.286 76 36% 10% 52 -1.6 .190/.265/.267 .077.298 56 35% 9% 47 -1.9 .182/.268/.267.085.2746333%10%48-0.6