Carlos CortesLF Athletics
Age 29 L/S 5'7" / 197 lbs MLB HR -6%K -4% Svc 1.000 · Ctrl thru 2030 peak 1.1 · 2026
wRC+†127
AVG/OBP/SLG.241 / .311 / .425
PA250
HR9
K%22
BB%9
MLB%100%
BAT: +7.7 runs (wOBA-derived runs vs avg)+8BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: -1.4 runs (Defensive runs vs avg)-1FLDPOS: -2.7 runs (Positional adjustment)-3POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +1.10+1.1WAR
Scouting · nowfuture
HIT
6060
PWR
6060
SPD
4545
EYE
5060
trajectory · 10 yrs
1.1peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2025
Service   1.000 yrs.days
Team Control Through   2030
First FA Year   2027
DEF 10%
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$0.8M+1.1$9M+$8M
2027Pre-Arb$0.8M+0.9$4M+$3M
2028Arb-1$1M+0.6$3M+$1M
2029Arb-2$2M+0.4$2M+$0.2M
2030Arb-3$2M+0.1$0.5M+$0.0M (cut)
Totals $5M $17M +$12M

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
201922 A+St. Lucie Mets 526471 932328 391217 65 .197.269.306.575 .108.244 237 .256 54 -27 -1 +0 -6 +15 -1.9
202023 INTLSydney Blue Sox 5651 20703 3141 00 .392.436.7061.142 .314.486 255 +0 -1
202124 AA2 teams 413376 7724115 281293 13 .205.265.394.659 .189.261 317 .282 74 -12 -1 +0 -4 +12 -0.6
202225 AA2 teams 491453 8618211 281555 01 .190.245.311.556 .121.257 326 .244 45 -30 -0 +0 -5 +14 -2.3
202326 AAA2 teams 507444 9122114 541283 32 .205.295.354.649 .149.250 2511 .288 79 -12 -0 +0 -5 +14 -0.4
202427 AAASyracuse Mets 321291 609013 27740 31 .206.274.371.645 .165.227 238 .279 72 -10 +0 +0 -3 +9 -0.4
202528 AAA2 teams 413373 9927116 32783 20 .265.328.472.800 .206.292 198 .341 119 +9 +0 +1 -4 +12 1.7
▸ 2026 Season (actual · ROS · total)
202629 MLBAthletics 5852 17402 640 00 .327.397.519.916 .192.326 710 .400 164 +4 +0 -1 -1 +2 0.4
ROS29 MLBOAK 192172 431007 17381 10 .250.321.430.751 .180.284 209 .337 116 +3 +0 -0 -2 +5 0.7
TOT29 MLBOAK 250224 601409 23421 10 .268.339.451.790 .183.293 179 .351 127 +8 +0 -1 -3 +7 1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLBOAK 380341 8619114 34752 20 .252.324.437.761 .185.280 209 .333 113 +6 +0 -3 -4 +11 1.0
202831 MLBOAK 365327 8118113 33742 00 .248.320.428.749 .180.281 209 .329 110 +4 +0 -4 -4 +10 0.7
202932 MLBOAK 346310 7717112 31722 00 .248.321.426.747 .177.280 219 .324 106 +2 +0 -4 -4 +10 0.4
203033 MLBOAK 316283 6815110 28682 00 .240.313.406.719 .166.279 229 .318 102 +1 +0 -5 -3 +9 0.1
203134 MLBOAK 272245 571218 24611 00 .233.304.388.691 .155.278 229 .312 97 -1 +0 -6 -3 +8 -0.2
203235 MLBOAK 221199 451006 19521 00 .226.297.367.664 .141.276 249 .304 91 -2 +0 -6 -2 +6 -0.5
▸ Career Totals (MLE all levels + projections)
Career 48194336 98323112150 397113933 1812 .227.296.389.686 .163.269 248 .295 84 -86 -1 -28 -52 +137 -3.1
/ 162G 650585 13331220 541544 22 .227.297.390.687 .162.271 248 .295 84 -12 -0 -4 -7 +18 -0.4

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
201922 A+St. Lucie Mets 526458 11726311 52777 65 .255.340.397.738 .142.281 1510 .327 109 +5 -1 +15 2.0
202023 INTLSydney Blue Sox 5651 20703 3141 00 .392.436.7061.142 .314.486 255 .484 229 +8 +0 +2 1.0
202124 AABinghamton Rumble Ponies 346304 7826114 35852 12 .257.337.487.824 .230.305 2510 .357 131 +12 -1 +10 2.2
202124 INTLSalt River Rafters 6755 13210 10181 01 .236.364.309.673 .073.342 2715 .313 97 -0 -0 +2 0.1
202225 AAASyracuse Mets 117107 18401 7242 00 .168.233.234.466 .065.205 216 .217 24 -10 +0 +3 -0.7
202225 AABinghamton Rumble Ponies 374332 8018311 351003 01 .241.319.413.732 .172.307 279 .323 106 +2 -0 +11 1.3
202326 AAASyracuse Mets 442369 8922115 65893 32 .241.359.428.787 .187.274 2015 .350 126 +13 -0 +13 2.6
202326 INTLLeones de Ponce 6559 12002 5120 00 .203.266.305.571 .102.217 188 .257 55 -3 +0 +2 -0.2
202427 AAASyracuse Mets 321281 6911016 37600 31 .246.333.456.789 .210.255 1912 .347 123 +8 +0 +9 1.8
202528 MLBAthletics 9994 29814 3200 00 .309.330.543.872 .234.347 203 .372 142 +5 +0 +1 -4 +3 0.4
202528 AAALas Vegas Aviators 314267 8624017 41463 20 .322.418.6031.021 .281.333 1513 .439 194 +33 +0 +9 4.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 9994 29814 3200 00 .309.330.543.872 .234.347 203 .372 142 +5 +0 +1 -4 +3 0.4

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
Carlos Cortes (OGILVIE) 29 60 60 45 60 .251/.322/.436 .185.280 92 19% 9% 116 +1.2
Ben Broussard
2006 · MLB
29 50→56 56→60 47→45 51 .259/.327/.461 .202.290 225 19% 8% 124 +3.4 .265/.320/.449 .184.306 234 21% 6% 118 +3.0 .260/.312/.431.171.30023321%6%105+1.3
Justin Bour
2017 · MLB
29 51→55 56→60 46→40 51 .266/.327/.453 .187.293 253 19% 8% 121 +3.2 .255/.341/.463 .208.294 283 23% 11% 130 +3.8 .240/.337/.448.208.28029225%12%115+2.0
Eric Hosmer
2019 · MLB
29 55→64 52→55 45→50 53 .279/.344/.445 .166.318 206 19% 9% 126 +3.5 .269/.326/.425 .156.321 185 21% 8% 113 +2.6 .267/.324/.416.148.31718421%7%106+1.6
Jason Kubel
2010 · MLB
28 54→57 57→60 46→40 54 .280/.347/.488 .208.308 243 18% 9% 138 +4.4 .264/.334/.464 .200.303 252 21% 9% 127 +3.6 .252/.325/.448.197.29425123%9%110+2.1
Jesse Winker
2023 · MLB
29 49→59 54→55 47→45 62 .250/.358/.430 .180.277 223 18% 13% 128 +3.7 .241/.348/.383 .142.290 157 21% 13% 112 +2.6 .240/.352/.367.127.295141022%13%104+1.4
Mitch Moreland
2015 · MLB
29 47→57 54→60 44→40 48 .244/.305/.424 .180.282 223 22% 8% 105 +2.1 .245/.310/.432 .187.283 242 22% 8% 109 +2.4 .239/.321/.446.208.26826122%10%113+2.0
Jay Gibbons
2007 · MLB
30 52→54 55→60 45→30 52 .268/.321/.460 .192.275 232 13% 7% 121 +3.2 .250/.300/.408 .158.277 183 17% 6% 98 +1.6 .249/.295/.391.142.27317116%6%89+0.5
Matt Joyce
2014 · MLB
29 49→56 54→60 48→50 57 .254/.341/.441 .187.288 2210 20% 11% 124 +3.4 .237/.337/.397 .160.287 175 22% 12% 111 +2.5 .231/.347/.434.202.26125321%15%118+1.9
Adam Lind
2012 · MLB
29 48→58 56→60 42→40 47 .255/.310/.448 .193.283 252 20% 7% 113 +2.6 .269/.327/.447 .178.307 222 20% 8% 120 +3.1 .286/.360/.473.187.32321018%10%129+3.0
Colin Moran
2022 · MLB
29 51→57 52→55 44→30 48 .260/.325/.425 .165.317 203 24% 8% 113 +2.6 .228/.298/.369 .141.291 183 27% 9% 88 +0.9 .206/.276/.325.119.26616028%8%62-0.4
Alex Dickerson
2021 · MLB
31 53→54 56→55 47→45 50 .270/.339/.471 .201.307 235 20% 8% 131 +3.9 .235/.299/.414 .179.278 224 24% 7% 100 +1.7 .213/.276/.380.167.25221125%7%77+0.1
Mike Carp
2014 · MLB
28 50→55 53→55 43→40 47 .257/.320/.435 .178.316 215 25% 8% 114 +2.7 .221/.299/.348 .127.287 127 26% 9% 83 +0.6 .172/.277/.237.064.2302023%10%43-0.6
Andre Ethier
2010 · MLB
28 55→63 56→60 43→45 56 .281/.360/.489 .208.303 225 16% 10% 144 +4.8 .284/.360/.472 .188.324 204 18% 10% 140 +4.5 .284/.358/.453.169.33118119%10%124+3.3
Xavier Nady
2008 · MLB
29 53→59 54→60 44→45 45 .273/.329/.456 .183.306 225 19% 6% 123 +3.3 .282/.336/.463 .181.324 214 19% 6% 128 +3.7 .274/.327/.426.152.32218220%6%111+1.6
Terrmel Sledge
2007 · MLB
30 49→52 54→55 47→45 53 .254/.325/.439 .185.286 227 20% 10% 116 +2.8 .239/.318/.405 .166.290 208 24% 10% 105 +2.1 .220/.315/.367.147.27018424%11%89+0.4
Josh Reddick
2016 · MLB
29 51→61 54→60 50 53 .261/.322/.442 .181.275 219 15% 8% 116 +2.8 .276/.335/.437 .161.299 189 14% 8% 120 +3.1 .275/.339/.426.150.30216914%9%113+2.2
Logan Morrison
2017 · MLB
29 47→57 51→65 46→45 52 .242/.314/.405 .163.268 199 18% 9% 104 +2.0 .235/.323/.455 .220.260 304 23% 11% 121 +3.2 .226/.317/.468.242.23934123%10%114+1.9
Kole Calhoun
2017 · MLB
29 53→56 51→60 43→50 50 .267/.330/.436 .169.310 194 20% 8% 118 +3.0 .241/.321/.407 .166.284 205 22% 10% 107 +2.2 .221/.311/.434.213.24729524%11%104+1.6
John Bowker
2011 · MLB
28 49→54 53→55 45 48 .252/.312/.430 .178.289 216 21% 7% 109 +2.4 .254/.297/.412 .158.298 185 21% 6% 98 +1.6 .237/.264/.364.127.28115222%3%67-0.4
Ryan Garko
2010 · MLB
29 54→57 51→55 43→30 51 .272/.346/.429 .157.295 192 15% 7% 123 +3.3 .227/.298/.355 .128.259 163 19% 8% 85 +0.7 .204/.275/.311.106.24314122%7%60-0.6