Curley MarthaSS DSL Rangers Red
Age 19 R/R 5'9" / 165 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 3.2 · 2034
wRC+67
AVG/OBP/SLG.205 / .279 / .316
PA100
HR2
K%30
BB%8
MLB%0%
BAT: -3.8 runs (wOBA-derived runs vs avg)-4BATRUN: +0.5 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +2.8 runs (Replacement-level credit)+3REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
2732
PWR
3439
SPD
5661
EYE
4752
trajectory · 10 yrs
3.2peak
2034

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+3.0$29M+$28M
2033Ext / FA-deal$1.0M+3.1$31M+$30M
2034Ext / FA-deal$1.0M+3.2$32M+$31M
2035Ext / FA-deal$6M+3.1$32M+$26M
2036Ext / FA-deal$10M+2.9$31M+$21M
2037Ext / FA-deal$13M+2.6$29M+$16M
Totals $32M $184M +$152M

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 Rangers Red 248216 37712 188412 194 .171.272.241.513 .069.265 347 .230 34 -18 +2 +0 +3 +7 -0.7
▸ 2026 Season
202619 MLB 10091 19312 8301 20 .209.280.330.610 .121.283 308 .272 67 -4 +0 +0 +1 +3 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11% 134119 27513 12372 31 .227.308.361.670 .134.290 289 .294 83 -3 +0 +0 +1 +4 0.3
202821 MLB 28% 288255 571027 27774 82 .224.308.361.668 .137.292 279 .305 92 -3 +1 +0 +3 +8 1.0
202922 MLB 48% 402353 8114211 401046 112 .229.318.374.692 .144.292 2610 .314 98 -1 +1 +0 +4 +11 1.7
203023 MLB 65% 481422 9817314 491227 133 .232.322.386.708 .154.292 2510 .319 103 +1 +1 +0 +5 +14 2.2
203124 MLB 82% 532464 10919316 551338 143 .235.326.392.719 .157.293 2510 .323 106 +3 +2 +0 +6 +15 2.6
203225 MLB 565492 11720318 601418 153 .238.330.400.731 .163.293 2511 .327 108 +5 +2 +0 +6 +16 3.0
203326 MLB 583506 12021318 631459 153 .237.332.397.729 .160.294 2511 .328 109 +6 +2 +0 +6 +17 3.1
203427 MLB 589511 12121319 641479 153 .237.332.401.733 .164.294 2511 .328 109 +6 +2 +0 +6 +17 3.2
203528 MLB 589510 12021318 651489 142 .235.332.394.726 .159.293 2511 .327 109 +6 +2 -1 +6 +17 3.1
203629 MLB 582505 11921318 641488 142 .236.331.396.727 .160.293 2511 .325 107 +5 +2 -1 +6 +16 2.9
203730 MLB 573497 11520317 631488 132 .231.327.386.714 .155.291 2611 .322 105 +3 +2 -2 +6 +16 2.6
203831 MLB 560485 11119316 621478 121 .229.326.379.706 .151.290 2611 .318 102 +1 +2 -3 +6 +16 2.3
203932 MLB 543471 10618315 601457 110 .225.322.372.693 .146.288 2711 .314 98 -1 +2 -4 +6 +15 1.9
204033 MLB 514446 9917314 561417 110 .222.318.368.686 .146.287 2711 .308 94 -4 +2 -4 +6 +15 1.5
204134 MLB 466406 8815212 511326 100 .217.313.352.665 .135.285 2811 .301 89 -6 +2 -5 +5 +13 1.0
204235 MLB 412360 7512210 441215 90 .208.303.336.639 .128.282 2911 .294 83 -8 +2 -6 +4 +12 0.4
204336 MLB 352307 631028 381074 80 .205.301.329.630 .124.279 3011 .285 76 -9 +2 -6 +4 +10 -0.0
204437 MLB 287251 49816 30904 70 .195.291.307.598 .112.275 3110 .275 69 -10 +1 -7 +3 +8 -0.5
▸ Career Totals (MLE all levels + projections)
Career 88007667 173129847244 9292347132 22431 .226.320.372.692 .147.290 2711 .312 97 -29 +32 -38 +94 +249 31.4
/ 162G 650566 12722318 6917310 172 .224.319.369.689 .145.288 2711 .312 97 -2 +3 -3 +7 +18 2.3

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 Rangers Red 248206 581125 285512 194 .282.398.427.826 .146.358 2211 .372 143 +12 +2 +7 2.2

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
Curley Martha (OGILVIE) 19 27→32 34→39 56→61 52 .205/.279/.316 .111.283 22 30% 8% 67 -0.1
Luke Adams
2023 · A
19 49→37 40→45 54→55 45 .229/.303/.328 .098.328 717 30% 8% 79 +0.3 .197/.323/.323 .126.275 1220 30% 11% 89 +1.0 .179/.324/.312.133.244142229%12%86+0.5
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
Ravel Santana
2011 · A
19 43 46→50 51→55 47 .214/.294/.340 .125.274 1415 26% 8% 79 +0.3 .220/.281/.362 .142.292 1613 29% 7% 79 +0.3 .205/.253/.387.182.264221531%6%72-0.1
Jett Williams
2023 · A
19 45 41→55 55 43 .216/.285/.315 .099.290 713 27% 7% 68 -0.5 .204/.313/.323 .119.295 1023 31% 12% 83 +0.6 .202/.308/.336.135.284112630%12%81+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
Bryan Rincon
2023 · A
19 43→42 45→40 53→65 45 .213/.281/.336 .123.279 1311 28% 8% 72 -0.2 .194/.288/.298 .104.270 921 29% 10% 66 -0.6 .165/.260/.259.093.23893032%10%44-1.1
Orelvis Martinez
2021 · A
19 42→35 47→60 53→40 42 .213/.270/.351 .139.273 146 27% 6% 71 -0.3 .204/.270/.403 .199.260 274 33% 7% 85 +0.7 .189/.259/.396.207.22930333%7%77+0.1
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
Robert Gonzalez
2021 · A
20 41 40→45 54→60 47 .189/.291/.289 .100.303 78 36% 10% 66 -0.6 .201/.301/.282 .081.273 617 26% 10% 68 -0.5 .180/.308/.228.048.22553019%12%56-0.5
Bo Naylor
2019 · A
19 44→43 39→55 52→50 46 .211/.278/.300 .089.298 69 30% 8% 60 -1.0 .194/.251/.313 .119.273 117 31% 7% 53 -1.5 .216/.308/.399.183.269221228%11%97+1.2
Jose Paez
2013 · A
19 47 39→45 51→50 42 .223/.278/.315 .092.300 513 26% 6% 64 -0.8 .211/.257/.296 .085.311 411 32% 5% 50 -1.8 .178/.220/.246.068.28331236%4%17-1.1
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
Chris Suero
2023 · A
19 42→36 38→45 47→60 48 .195/.289/.277 .082.295 58 32% 10% 61 -1.0 .192/.285/.295 .103.282 1014 33% 9% 64 -0.8 .179/.278/.292.113.261132334%9%59-0.8
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
Cristian Santana
2023 · A
19 38→20 45 46→45 47 .187/.304/.312 .125.282 1311 35% 10% 78 +0.2 .156/.295/.274 .118.251 137 39% 13% 66 -0.6 .123/.282/.246.123.18516439%15%54-0.8
Victor Rodrigues
2023 · A
18 41 38→30 49→50 44 .199/.262/.281 .083.258 57 24% 6% 50 -1.8 .211/.287/.284 .073.267 59 21% 9% 61 -1.0 .221/.317/.274.053.27451019%11%69-0.2
Mairoshendrick Martinus
2023 · A
18 41→38 45→50 51→50 41 .206/.265/.330 .123.286 1210 31% 6% 63 -0.8 .179/.232/.274 .095.315 912 43% 6% 34 -2.8 .159/.213/.235.076.28281544%6%16-1.8
Jesus Galiz
2023 · A
19 39 42→45 49→40 40 .193/.254/.299 .106.268 95 30% 6% 50 -1.7 .202/.259/.307 .105.300 94 34% 6% 55 -1.4 .191/.250/.292.101.2889235%5%46-1.0
Leo Balcazar
2023 · A
19 44→48 44→40 54→45 40 .212/.276/.331 .119.313 1114 34% 7% 69 -0.4 .220/.273/.310 .090.313 810 30% 6% 60 -1.0 .223/.267/.300.077.2818723%5%52-1.3
Wendell Rijo
2015 · A
19 41→42 41→55 51→50 43 .201/.263/.304 .103.273 712 28% 7% 56 -1.3 .199/.250/.288 .089.280 611 30% 6% 46 -2.0 .212/.269/.371.159.270201429%6%73-0.1