Jonathan MoyaOF DSL Tigers 2
Age 19 R/R 5'11" / 203 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 1.9 · 2033
wRC+61
AVG/OBP/SLG.200 / .269 / .312
PA94
HR2
K%31
BB%7
MLB%0%
BAT: -4.1 runs (wOBA-derived runs vs avg)-4BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.6 runs (Positional adjustment)-1POSREP: +2.7 runs (Replacement-level credit)+3REPTotal WAR: -0.20-0.2WAR
Scouting · nowfuture
HIT
2025
PWR
3338
SPD
4550
EYE
3843
trajectory · 10 yrs
1.9peak
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+1.8$17M+$16M
2033Ext / FA-deal$1.0M+1.9$19M+$18M
2034Ext / FA-deal$1.0M+1.9$19M+$18M
2035Ext / FA-deal$4M+1.8$19M+$15M
2036Ext / FA-deal$5M+1.6$17M+$12M
2037Ext / FA-deal$6M+1.4$16M+$9M
Totals $18M $107M +$88M

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
202417 ROKDSL Tigers 2 126115 18402 5626 20 .157.230.243.474 .087.314 494 .209 18 -12 +0 +0 -1 +4 -0.9
202518 ROKDSL Tigers 2 11097 22600 6386 22 .227.312.289.601 .062.367 355 .265 61 -5 -0 +0 -1 +3 -0.3
▸ 2026 Season
202619 MLB 9486 18312 7301 20 .209.277.337.614 .128.281 327 .265 61 -4 +0 +0 -1 +3 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11% 183163 35614 15543 41 .215.293.337.630 .123.289 308 .288 78 -5 +0 +0 -1 +5 -0.0
202821 MLB 28% 319282 631129 29905 72 .223.307.372.679 .149.290 289 .302 89 -4 +1 +0 -2 +9 0.4
202922 MLB 48% 419370 8415212 401146 92 .227.312.376.688 .149.291 2710 .311 96 -2 +1 +0 -3 +12 0.9
203023 MLB 65% 485428 9817315 471297 102 .229.315.388.703 .159.291 2710 .317 101 +0 +1 +0 -3 +14 1.3
203124 MLB 82% 529463 10819317 531398 112 .233.323.397.720 .164.291 2610 .321 104 +2 +1 +0 -3 +15 1.6
203225 MLB 554484 11320318 571448 112 .233.324.399.723 .165.292 2610 .324 106 +4 +1 +0 -3 +16 1.8
203326 MLB 568496 11620319 591488 112 .234.325.401.726 .167.293 2610 .326 107 +5 +1 +0 -3 +16 1.9
203427 MLB 572499 11620319 601508 112 .232.325.399.723 .166.293 2610 .326 108 +5 +1 +0 -3 +16 1.9
203528 MLB 570496 11620319 611508 102 .234.327.401.729 .167.292 2611 .325 107 +4 +1 -1 -3 +16 1.8
203629 MLB 562489 11320318 601508 101 .231.325.395.720 .164.291 2711 .323 105 +3 +2 -1 -3 +16 1.6
203730 MLB 553481 11119318 591498 91 .231.325.395.720 .164.290 2711 .319 103 +2 +1 -2 -3 +16 1.4
203831 MLB 539468 10618317 581488 80 .226.322.387.709 .160.288 2711 .316 100 -0 +2 -3 -3 +15 1.1
203932 MLB 521453 10117316 561457 80 .223.318.380.698 .157.287 2811 .311 96 -2 +2 -4 -3 +15 0.8
204033 MLB 492430 9316214 521417 70 .216.311.360.671 .144.285 2911 .305 92 -4 +1 -4 -3 +14 0.4
204134 MLB 445389 8314212 471316 70 .213.308.352.660 .139.283 2911 .299 87 -7 +1 -5 -3 +13 -0.0
204235 MLB 391342 7112210 411195 60 .208.302.342.644 .135.281 3010 .291 81 -8 +1 -6 -2 +11 -0.4
▸ Career Totals (MLE all levels + projections)
Career 80327031 158527742241 8122231123 14521 .225.316.380.696 .154.292 2810 .312 97 -28 +21 -25 -48 +228 15.0
/ 162G 650569 12822320 6618110 122 .225.316.380.696 .155.291 2810 .312 97 -2 +2 -2 -4 +18 1.2

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
202417 ROKDSL Tigers 2 126112 30613 8426 20 .268.349.420.769 .152.403 336 .346 123 +3 +0 +4 0.7
202518 ROKDSL Tigers 2 11094 30900 9266 22 .319.413.415.828 .096.435 248 .375 145 +6 -0 +3 0.8

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
Jonathan Moya (OGILVIE) 19 20→25 33→38 45→50 43 .200/.269/.312 .113.281 22 31% 7% 61 -0.1
Maximo Rivera
2012 · A
19 36 41→45 47→60 41 .181/.239/.272 .091.247 913 30% 6% 37 -2.6 .219/.271/.301 .082.284 720 24% 6% 57 -1.2 .234/.281/.297.063.30052423%5%58-0.3
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
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
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
Jesus Vasquez
2011 · A
19 40 43→55 47→55 38 .201/.250/.313 .113.265 1010 28% 5% 52 -1.6 .214/.278/.346 .132.291 1414 30% 6% 73 -0.1 .221/.297/.387.166.294192030%8%97+0.7
Davis Schneider
2018 · A
19 40→44 41→55 48→50 50 .198/.276/.300 .102.259 86 26% 9% 60 -1.0 .193/.268/.290 .097.299 87 35% 8% 54 -1.4 .213/.322/.409.196.27524930%12%106+1.6
Carlos Jimenez
2022 · A
19 39→41 42→50 53→55 44 .191/.270/.293 .102.283 1011 34% 8% 56 -1.3 .199/.283/.318 .119.317 1115 37% 9% 69 -0.4 .216/.296/.349.133.314151933%9%78+0.1
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
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
Efrain Contreras
2006 · A
19 43 37→45 49→55 41 .203/.263/.279 .075.288 48 30% 6% 49 -1.8 .223/.288/.330 .107.269 1012 21% 6% 73 -0.1 .225/.291/.340.115.260121518%5%76+0.0
Rudy van Heydoorn
2008 · A
19 38 39→45 47→50 37 .183/.243/.267 .084.297 610 38% 7% 37 -2.6 .184/.274/.285 .101.277 118 35% 9% 57 -1.2 .165/.268/.271.106.24013634%10%50-0.6
Angel Ortiz
2022 · A
19 42→40 41→50 46→40 44 .207/.262/.297 .091.272 99 27% 7% 53 -1.5 .205/.256/.301 .096.278 87 27% 6% 51 -1.7 .210/.263/.325.115.27610327%6%59-0.6
Cesar Quintas
2022 · A
19 46→36 40→45 50 43 .220/.300/.314 .095.296 77 26% 6% 75 -0.0 .204/.282/.283 .079.308 65 33% 6% 59 -1.1 .200/.289/.313.113.28311631%7%69-0.2
Moisés Sierra
2008 · A
19 37→47 41→50 49→50 37 .188/.241/.283 .095.258 910 30% 5% 41 -2.3 .219/.266/.312 .093.295 88 27% 4% 59 -1.1 .250/.316/.378.129.306141522%7%94+1.0
Edwin Sanchez
2023 · A
18 41 44→45 44→50 46 .203/.288/.316 .113.290 116 32% 9% 70 -0.3 .198/.307/.305 .107.277 109 29% 11% 77 +0.1 .175/.316/.285.110.237101127%13%76+0.0
Yordyn Calderon
2013 · A
19 37 42→45 46→50 39 .184/.249/.286 .102.275 1010 35% 7% 46 -2.0 .195/.268/.306 .111.282 1011 32% 7% 59 -1.1 .184/.266/.297.113.261101331%8%53-0.7
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
Alexander Mojica
2022 · A
19 41 43→45 47→40 43 .201/.274/.309 .109.287 114 33% 8% 63 -0.9 .181/.263/.290 .109.302 114 40% 9% 53 -1.5 .148/.248/.265.117.25313243%10%39-0.9
Jose Cordoba
2023 · A
20 37 40 44→55 39 .185/.250/.273 .088.268 99 33% 6% 43 -2.2 .200/.257/.289 .089.277 611 28% 6% 49 -1.8 .197/.256/.288.091.26541526%6%45-0.8