Ronnyel Espinoza2B DSL Cubs Blue
Age 20 S/R 5'11" / 173 lbs ROK BB +5%HR -4% Svc 0.0 · Ctrl thru 2037 peak 2.0 · 2032
wRC+†60
AVG/OBP/SLG.206 / .274 / .300
PA81
HR1
K%29
BB%8
MLB%0%
BAT: -3.7 runs (wOBA-derived runs vs avg)-4BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.3 runs (Positional adjustment)+0POSREP: +2.3 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
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+2.0$19M+$18M
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$5M+1.2$13M+$8M
Totals $16M $104M +$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
202418 ROKDSL Cubs Red 8774 12111 11231 62 .162.279.243.522 .081.220 2613 .223 29 -7 +0 +0 +0 +2 -0.4
202519 ROKDSL Cubs Blue 9174 13310 13262 31 .176.315.243.558 .068.260 2914 .263 59 -4 +0 +0 +0 +3 -0.1
▸ 2026 Season
202620 MLBCHC 8174 16311 6241 10 .216.284.324.608 .108.289 307 .263 60 -4 +0 +0 +0 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%CHC 169151 33613 14472 31 .219.293.331.625 .113.292 288 .286 77 -4 +0 +0 +1 +5 0.1
202822 MLB 28%CHC 301268 611127 27803 61 .228.305.362.667 .134.293 279 .301 88 -4 +1 +0 +1 +9 0.7
202923 MLB 48%CHC 393350 8214311 361024 82 .234.313.386.699 .151.294 269 .309 95 -2 +1 +0 +1 +11 1.1
203024 MLB 62%CHC 455404 9517313 431165 92 .235.316.389.705 .153.294 259 .315 99 -1 +1 +0 +2 +13 1.5
203125 MLB 80%CHC 491436 10318315 471255 102 .236.318.394.712 .158.295 2510 .318 102 +1 +1 +0 +2 +14 1.8
203226 MLB 94%CHC 512451 10719315 501306 102 .237.321.392.714 .155.296 2510 .320 103 +2 +1 +0 +2 +15 2.0
203327 MLBCHC 520457 10919316 521326 102 .239.324.398.723 .160.296 2510 .320 103 +2 +1 +0 +2 +15 2.0
203428 MLBCHC 521458 10819315 521346 101 .236.322.389.710 .153.295 2610 .319 102 +1 +2 -1 +2 +15 1.9
203529 MLBCHC 515452 10518315 521346 81 .232.320.385.705 .153.294 2610 .317 100 +0 +1 -1 +2 +15 1.7
203630 MLBCHC 507446 10318314 511335 71 .231.317.379.696 .148.293 2610 .313 98 -1 +1 -2 +2 +14 1.4
203731 MLBCHC 494436 10017314 501325 50 .229.316.378.694 .149.292 2710 .310 95 -3 +1 -3 +2 +14 1.2
203832 MLBCHC 476420 9516313 481305 20 .226.313.371.684 .145.290 2710 .305 92 -5 +0 -4 +2 +13 0.8
203933 MLBCHC 447394 8715311 451255 10 .221.309.358.666 .137.289 2810 .300 87 -6 +0 -4 +2 +13 0.4
204034 MLBCHC 402355 7713210 401164 00 .217.303.349.653 .132.287 2910 .293 82 -8 +0 -5 +1 +11 -0.0
204135 MLBCHC 348308 651128 341043 00 .211.296.338.633 .127.285 3010 .285 77 -9 +0 -6 +1 +10 -0.4
▸ Career Totals (MLE all levels + projections)
Career 68106008 137123843182 671181374 9918 .228.313.373.686 .145.294 2710 .307 93 -52 +13 -25 +24 +193 15.6
/ 162G 650573 13123417 641737 92 .229.313.372.685 .143.295 2710 .307 93 -5 +1 -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 Cubs Red 8765 14111 20151 62 .215.407.308.715 .092.265 1723 .340 119 +2 +0 +2 0.5
202519 ROKDSL Cubs Blue 9165 16320 22182 31 .246.449.354.803 .108.327 2024 .372 143 +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
Ronnyel Espinoza (OGILVIE) 20 .206/.274/.300 .093.289 11 29% 8% 60 -0.1
Dylan Carlson
2019 · A
20 42→52 43→55 45→50 45 .206/.277/.315 .109.279 106 28% 8% 65 -0.7 .228/.297/.383 .155.293 1610 27% 8% 91 +1.1 .242/.327/.396.154.29614422%9%105+1.6
Francisco Mejía
2016 · A
20 43→53 41→55 47→40 43 .211/.267/.303 .093.260 95 23% 6% 56 -1.3 .250/.290/.373 .123.301 134 21% 5% 85 +0.7 .258/.304/.423.165.30516121%5%101+0.9
Adalberto Mondesi
2015 · A
20 39→49 40→60 54→65 34 .196/.228/.285 .089.279 714 32% 4% 34 -2.8 .205/.237/.323 .118.291 1124 32% 4% 49 -1.8 .248/.279/.427.179.328194930%4%92+0.9
Angel Martínez
2022 · A
20 42→48 40→50 49→50 44 .205/.261/.303 .099.264 710 25% 7% 54 -1.4 .223/.284/.349 .126.283 1210 24% 7% 76 +0.1 .227/.291/.359.132.280131023%7%80+0.3
Yonathan Perlaza
2019 · A
20 44→52 37→60 48→50 38 .209/.246/.281 .072.297 312 30% 5% 40 -2.4 .218/.268/.312 .094.317 87 32% 6% 59 -1.1 .235/.307/.417.182.303191228%9%100+1.6
Miguel Gómez
2013 · A
20 42→52 38→50 49→40 41 .201/.259/.282 .081.276 46 28% 6% 48 -1.9 .220/.266/.316 .096.291 75 25% 5% 59 -1.1 .271/.288/.403.133.30514116%2%87+0.6
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Juan Brito
2022 · A
20 45→48 42→50 49→45 46 .222/.285/.324 .103.281 1012 24% 7% 70 -0.3 .230/.313/.368 .138.279 139 21% 10% 94 +1.3 .226/.311/.371.145.26615920%10%91+1.0
Dalton Pompey
2013 · A
20 40→50 40→45 55 44 .197/.264/.289 .093.275 816 30% 8% 53 -1.5 .236/.299/.340 .104.314 724 25% 8% 79 +0.3 .253/.315/.362.109.32572823%8%88+0.8
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
Adael Amador
2022 · A
19 45→54 41→50 45→55 47 .219/.281/.317 .098.274 811 23% 8% 66 -0.6 .241/.317/.373 .132.280 1517 19% 9% 97 +1.5 .233/.312/.369.136.267172319%9%90+0.8
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
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
Blake Perkins
2018 · A
21 42→52 40→50 51→55 43 .206/.261/.296 .090.274 814 27% 6% 52 -1.6 .202/.269/.286 .084.291 717 30% 8% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Anthony Santander
2015 · A
20 39→49 40→65 47→45 40 .192/.246/.287 .095.263 88 29% 6% 44 -2.1 .220/.272/.355 .135.289 156 28% 5% 72 -0.2 .242/.317/.473.231.25731220%9%120+3.4
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
Josh Johnson
2006 · A
20 43→49 39→45 48→50 50 .204/.281/.297 .094.268 59 25% 9% 61 -1.0 .218/.305/.288 .070.282 410 21% 11% 69 -0.4 .247/.316/.352.105.29591618%9%86+0.5
Shawn O'Malley
2008 · A
20 42→52 36→40 50→60 41 .198/.262/.265 .067.281 411 29% 6% 45 -2.1 .210/.283/.263 .053.291 123 26% 7% 53 -1.5 .259/.321/.357.098.32252320%7%89+0.6
Henry Ramos
2012 · A
20 43→53 41→50 50 36 .211/.245/.308 .097.286 814 29% 4% 48 -1.9 .215/.257/.320 .105.287 99 27% 5% 56 -1.3 .251/.313/.394.142.31416724%7%96+0.9
Oneil Cruz
2019 · A
20 43→51 43→60 47→55 36 .212/.251/.327 .115.305 118 34% 5% 55 -1.4 .228/.271/.373 .145.324 1613 33% 5% 76 +0.1 .241/.304/.442.201.317252231%8%103+1.7