Johan EstradaC DSL Tigers 1
Age 20 R/R 5'11" / 170 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 2.5 · 2032
wRC+†58
AVG/OBP/SLG.204 / .270 / .299
PA57
HR1
K%30
BB%7
MLB%0%
BAT: -2.7 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.0 runs (Positional adjustment)+1POSREP: +1.6 runs (Replacement-level credit)+2REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
2.5peak
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+2.5$24M+$23M
2033Ext / FA-deal$1.0M+2.5$25M+$24M
2034Ext / FA-deal$1.0M+2.4$24M+$23M
2035Ext / FA-deal$4M+2.2$23M+$19M
2036Ext / FA-deal$6M+2.0$22M+$15M
2037Ext / FA-deal$7M+1.6$18M+$10M
Totals $21M $135M +$114M

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
202317 ROKDSL Tigers 1 6154 6200 7290 21 .111.213.148.361 .037.240 4811 .177 -6 -7 +0 +0 +1 +2 -0.5
202418 ROKDSL Tigers 1 9279 11411 13290 82 .139.261.253.514 .114.204 3214 .236 39 -6 +1 +0 +2 +3 -0.1
▸ 2026 Season
202620 MLBDET 5752 11201 4171 10 .212.281.308.588 .096.289 307 .261 58 -3 +0 +0 +1 +2 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%DET 118106 23412 10341 20 .217.291.330.621 .113.292 298 .284 75 -3 +0 +0 +2 +3 0.3
202822 MLB 28%DET 262234 52926 23723 51 .222.300.355.655 .132.293 279 .297 85 -4 +1 +0 +5 +7 0.8
202923 MLB 48%DET 366326 7413210 33994 71 .227.306.371.677 .144.294 279 .304 91 -4 +1 +0 +7 +10 1.5
203024 MLB 62%DET 437389 9016312 401165 92 .231.311.380.692 .149.295 279 .310 95 -2 +1 +0 +8 +12 1.9
203125 MLB 80%DET 479426 9917314 451275 102 .232.313.385.698 .153.295 279 .314 98 -1 +1 +0 +9 +14 2.3
203226 MLB 94%DET 504446 10418315 481335 102 .233.315.388.703 .155.296 2610 .315 100 -0 +1 +0 +9 +14 2.5
203327 MLBDET 515454 10518315 501366 102 .231.316.383.699 .152.296 2610 .315 100 -0 +1 +0 +9 +15 2.5
203428 MLBDET 518457 10518315 511385 91 .230.314.381.695 .151.296 2710 .314 99 -1 +1 -1 +9 +15 2.4
203529 MLBDET 513453 10418315 501385 81 .230.313.382.695 .152.295 2710 .312 97 -2 +1 -1 +9 +15 2.2
203630 MLBDET 505445 10117314 501385 70 .227.312.373.685 .146.293 2710 .309 95 -3 +1 -2 +9 +14 2.0
203731 MLBDET 478423 9516313 471335 40 .225.309.369.678 .144.292 2810 .305 92 -4 +1 -3 +9 +14 1.6
203832 MLBDET 447396 8815312 441264 20 .222.306.366.672 .144.290 2810 .301 88 -6 +0 -4 +8 +13 1.2
203933 MLBDET 407360 7713210 401184 10 .214.300.344.644 .131.289 2910 .295 84 -7 +0 -4 +7 +12 0.8
204034 MLBDET 354314 661128 341053 00 .210.293.334.628 .124.287 3010 .289 79 -8 +0 -5 +6 +10 0.3
204135 MLBDET 296263 55927 28913 00 .209.293.338.631 .129.285 319 .281 73 -9 +0 -6 +5 +8 -0.1
204236 MLBDET 238212 42715 22762 00 .198.280.311.591 .113.282 329 .272 67 -9 +0 -6 +4 +7 -0.4
▸ Career Totals (MLE all levels + projections)
Career 66475889 130822740175 639185566 9515 .222.305.363.669 .141.291 2810 .302 89 -81 +13 -31 +119 +188 21.2
/ 162G 650576 12822417 621816 91 .222.304.363.667 .141.291 2810 .302 89 -8 +1 -3 +12 +18 2.1

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
202317 ROKDSL Tigers 1 6149 9200 12200 21 .184.344.224.569 .041.310 3320 .283 75 -2 +0 +2 -0.0
202418 ROKDSL Tigers 1 9271 15612 21200 82 .211.391.408.800 .197.265 2223 .365 137 +4 +1 +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
Johan Estrada (OGILVIE) 20 .204/.270/.299 .095.289 11 30% 7% 58 -0.1
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
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
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
Agustín Ramírez
2022 · A
20 37→45 43→55 44→50 39 .188/.245/.301 .113.275 114 34% 6% 47 -1.9 .223/.286/.366 .143.284 1611 26% 8% 82 +0.5 .230/.293/.405.176.264221622%7%92+1.1
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
Chun-Hsiu Chen
2010 · A
21 43→53 41→50 48→45 40 .209/.263/.306 .097.302 86 32% 7% 55 -1.4 .250/.309/.388 .138.334 124 27% 7% 96 +1.5 .256/.318/.393.137.34712428%8%99+1.3
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0
Dilson Herrera
2014 · A
20 43→53 45→50 49→50 40 .213/.264/.339 .126.281 1211 28% 6% 65 -0.7 .248/.297/.383 .135.313 1413 24% 6% 90 +1.0 .257/.307/.397.140.313151322%6%94+1.2
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
Tucker Mitchell
2022 · A
21 43 39→50 51→45 39 .202/.262/.293 .090.301 67 33% 6% 52 -1.6 .193/.267/.305 .112.296 138 37% 7% 59 -1.1 .178/.253/.291.113.25315734%7%47-0.8
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
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
Emmanuel Rivera
2017 · A
21 40→50 37→55 49→45 43 .190/.250/.266 .075.266 310 28% 7% 40 -2.4 .234/.273/.341 .107.295 96 23% 4% 68 -0.5 .246/.303/.412.166.29319422%7%97+1.1
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
Kyle Higashioka
2010 · A
20 45→43 40→60 49→40 41 .215/.267/.304 .089.290 77 28% 6% 56 -1.3 .191/.240/.293 .102.234 103 23% 5% 43 -2.2 .229/.276/.416.187.27225426%6%88+0.4
Yairo Muñoz
2015 · A
20 41→51 38→50 48→55 42 .195/.251/.276 .081.262 47 26% 6% 43 -2.2 .218/.254/.321 .103.267 109 22% 4% 56 -1.3 .270/.315/.386.116.325111820%5%92+0.6
Wendell Rijo
2016 · A
20 42 41→55 49→50 40 .204/.258/.305 .100.281 813 29% 6% 53 -1.5 .196/.248/.278 .082.273 610 29% 6% 42 -2.3 .212/.269/.371.159.270201429%6%73-0.1