Marco ArgudinOF DSL Rangers Red
Age 20 L/L 5'10" / 170 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 1.7 · 2033
wRC+64
AVG/OBP/SLG.212 / .278 / .312
PA124
HR2
K%28
BB%7
MLB%0%
BAT: -5.0 runs (wOBA-derived runs vs avg)-5BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.7 runs (Positional adjustment)-1POSREP: +3.5 runs (Replacement-level credit)+4REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
1.7peak
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+1.6$15M+$14M
2033Ext / FA-deal$1.0M+1.7$17M+$16M
2034Ext / FA-deal$1.0M+1.6$16M+$15M
2035Ext / FA-deal$3M+1.4$15M+$12M
2036Ext / FA-deal$4M+1.1$12M+$8M
2037Ext / FA-deal$4M+0.8$4M+$0.5M
Totals $13M $79M +$66M

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
202519 ROKDSL Rangers Red 149130 38541 12175 153 .292.374.415.790 .123.325 118 .346 123 +4 +2 +0 -1 +4 0.9
▸ 2026 Season
202620 MLB 124113 24412 9351 20 .212.276.319.595 .106.290 287 .269 64 -5 +0 +0 -1 +4 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11% 207186 42724 17552 41 .226.298.349.647 .124.292 278 .291 81 -4 +0 +0 -1 +6 0.1
202822 MLB 28% 331295 681228 29854 71 .231.308.366.674 .136.293 269 .305 91 -3 +1 +0 -2 +9 0.5
202923 MLB 48% 416371 8815312 371045 82 .237.315.391.706 .154.294 259 .313 98 -1 +1 +0 -2 +12 0.9
203024 MLB 62% 472420 10017314 441175 102 .238.318.393.711 .155.294 259 .318 101 +1 +1 +0 -3 +13 1.3
203125 MLB 80% 504445 10718415 481246 102 .240.323.400.723 .160.295 2510 .321 104 +2 +1 +0 -3 +14 1.5
203226 MLB 94% 522461 11119416 501286 112 .241.323.403.726 .163.296 2510 .323 105 +3 +1 +0 -3 +15 1.6
203327 MLB 529466 11219416 521306 112 .240.324.401.726 .161.296 2510 .323 105 +3 +1 +0 -3 +15 1.7
203428 MLB 529466 11219416 521316 101 .240.324.401.726 .161.295 2510 .322 104 +3 +2 -1 -3 +15 1.6
203529 MLB 522459 10919315 521316 91 .237.323.390.713 .153.294 2510 .320 103 +2 +1 -1 -3 +15 1.4
203630 MLB 513451 10618315 511306 71 .235.321.388.709 .153.293 2510 .316 100 +0 +1 -2 -3 +15 1.1
203731 MLB 500441 10217314 491296 50 .231.317.379.695 .147.292 2610 .313 97 -1 +1 -3 -3 +14 0.8
203832 MLB 483427 9716313 481275 30 .227.312.370.683 .143.290 2610 .308 94 -3 +1 -4 -3 +14 0.5
203933 MLB 454402 9015312 441235 10 .224.308.366.674 .142.289 2710 .302 90 -5 +0 -4 -3 +13 0.1
204034 MLB 408361 7813210 401144 00 .216.301.346.647 .130.287 2810 .296 85 -7 +0 -5 -2 +12 -0.3
▸ Career Totals (MLE all levels + projections)
Career 66635894 138423348183 634168078 11318 .235.317.384.701 .149.295 2510 .314 98 -14 +15 -20 -40 +189 13.4
/ 162G 650575 13623518 621648 112 .237.320.388.708 .151.297 2510 .314 98 -1 +1 -2 -4 +18 1.3

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
202519 ROKDSL Rangers Red 149121 48942 21125 153 .397.503.5871.090 .190.422 814 .472 220 +20 +2 +4 2.7

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
Marco Argudin (OGILVIE) 20 .212/.278/.312 .100.290 22 28% 7% 64 -0.2
Max Kepler
2013 · A
20 44→54 42→60 53→50 44 .216/.275/.328 .112.278 96 25% 6% 67 -0.5 .222/.279/.348 .126.273 107 22% 7% 73 -0.1 .234/.319/.433.200.24824417%10%108+2.2
Gavin Lux
2018 · A
20 46→56 39→50 53→50 46 .218/.277/.306 .088.285 612 25% 7% 61 -1.0 .245/.301/.388 .143.311 1511 25% 7% 93 +1.3 .260/.330/.404.144.32714823%9%106+1.8
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
Michael Harris II
2021 · A
20 44→54 39→55 52→55 41 .212/.263/.298 .086.291 610 28% 6% 53 -1.5 .258/.304/.406 .148.329 1421 25% 5% 99 +1.7 .278/.321/.456.177.328212121%5%116+2.7
Akil Baddoo
2019 · A
20 42→51 43→55 56→55 48 .206/.282/.325 .120.283 913 29% 9% 69 -0.4 .212/.283/.340 .128.306 1116 32% 9% 73 -0.1 .232/.314/.375.143.300152426%11%91+0.8
Mickey Moniak
2018 · A
20 41→51 39→60 48→50 36 .201/.238/.289 .088.272 59 28% 4% 40 -2.4 .212/.248/.315 .103.296 69 29% 4% 51 -1.7 .246/.285/.451.204.307261128%4%101+1.4
Enmanuel Valdez
2019 · A
20 38→46 43→60 50→45 45 .191/.257/.305 .115.247 97 26% 7% 53 -1.5 .193/.246/.310 .117.260 127 30% 6% 50 -1.7 .224/.290/.404.180.26824826%8%90+0.8
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
Josh Lowe
2018 · A
20 44→54 40→55 48→60 39 .208/.263/.300 .092.328 811 37% 7% 54 -1.4 .201/.262/.317 .116.307 1217 36% 7% 59 -1.1 .255/.314/.435.180.350203131%8%108+1.9
Rowdy Tellez
2015 · A
20 45→50 42→60 47→45 45 .221/.276/.321 .100.273 95 22% 6% 65 -0.7 .229/.281/.352 .123.287 135 24% 6% 76 +0.0 .249/.317/.464.215.28629124%8%114+1.6
Jarred Kelenic
2019 · A
20 45→55 43→60 57→50 42 .218/.278/.332 .114.297 912 29% 7% 69 -0.4 .225/.282/.404 .179.286 2213 29% 7% 90 +1.0 .222/.292/.404.182.285201529%8%91+1.0
Jack Suwinski
2018 · A
20 40→41 39→60 44→50 40 .192/.252/.274 .082.280 76 32% 6% 43 -2.2 .192/.252/.298 .106.277 105 33% 7% 50 -1.8 .210/.307/.421.211.281281034%11%102+1.6
Riley Greene
2021 · A
20 44→54 44→60 53→50 39 .215/.271/.330 .115.305 119 32% 6% 66 -0.6 .252/.315/.404 .152.357 1510 31% 8% 103 +1.9 .263/.332/.466.203.33825528%9%124+3.1
Will Benson
2018 · A
20 41→51 43→55 52→55 36 .187/.255/.300 .112.333 1011 44% 7% 52 -1.6 .171/.257/.309 .138.261 1711 39% 10% 56 -1.3 .221/.322/.401.180.313182632%12%102+1.4
Domonic Brown
2008 · A
20 42→52 37→55 51→55 40 .199/.253/.269 .071.295 514 33% 6% 42 -2.3 .245/.300/.372 .127.305 1216 23% 7% 89 +0.9 .254/.320/.417.163.315182024%8%107+1.6
Iverson Leonardo
2022 · A
20 42 44→50 47→50 42 .203/.279/.327 .124.304 109 34% 8% 69 -0.4 .188/.266/.293 .105.307 98 39% 8% 55 -1.4 .155/.246/.249.095.2618840%9%34-0.7
Parker Meadows
2021 · A
21 40→47 41→55 46→55 42 .197/.253/.288 .091.267 99 29% 7% 47 -1.9 .203/.263/.335 .132.270 1412 29% 7% 64 -0.8 .225/.292/.400.175.278202126%8%91+1.1
Billy McKinney
2015 · A
20 46→54 42→55 49→45 45 .222/.287/.329 .108.290 96 26% 7% 72 -0.2 .233/.292/.348 .115.298 94 23% 7% 79 +0.3 .215/.276/.393.178.25820225%7%83+0.4
Tirso Ornelas
2019 · A
19 43→53 41→50 50→45 46 .210/.278/.308 .098.289 85 29% 8% 63 -0.9 .192/.256/.270 .078.279 55 30% 8% 43 -2.2 .245/.303/.373.128.30214723%7%87+0.8
Ramón Flores
2012 · A
20 43→53 40→45 49→50 45 .210/.266/.300 .090.264 78 23% 7% 55 -1.4 .234/.290/.334 .100.294 710 22% 7% 74 -0.1 .247/.321/.343.096.2959818%9%86+0.5