Alex LodiseSS Augusta GreenJackets
Age 22 R/R 6'0" / 190 lbs A BB -5% Svc 0.0 · Ctrl thru 2036 peak 1.9 · 2031
wRC+†51
AVG/OBP/SLG.205 / .266 / .331
PA110
HR3
K%32
BB%7
MLB%0%
BAT: -6.1 runs (wOBA-derived runs vs avg)-6BATRUN: +0.9 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.1 runs (Defensive runs vs avg)+0FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +3.1 runs (Replacement-level credit)+3REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
2038
PWR
4051
SPD
5552
FLD
5055
EYE
3535
trajectory · 10 yrs
1.7peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+1.9$18M+$17M
2032Ext / FA-deal$0.9M+1.8$17M+$16M
2033Ext / FA-deal$1.0M+1.6$16M+$15M
2034Ext / FA-deal$3M+1.5$15M+$12M
2035Ext / FA-deal$4M+1.2$13M+$8M
2036Ext / FA-deal$4M+0.9$5M+$0.4M
Totals $14M $83M +$69M

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
202521 A+Rome Emperors 109105 16511 3561 21 .152.183.248.431 .095.312 513 .185 0 -12 +0 +0 +1 +3 -0.8
▸ 2026 Season (actual · ROS · total)
202622 AAugusta GreenJackets 8679 17311 5332 30 .215.279.316.596 .101.356 386 .246 46 -5 +1 +0 +1 +2 -0.1
ROS22 MLBATL 2422 5101 280 10 .227.292.409.701 .182.299 338 .271 65 -1 +0 +0 +0 +1 0.0
TOT22 MLBATL 110101 22412 7412 40 .218.282.337.618 .119.345 376 .251 51 -6 +1 +0 +1 +3 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%ATL 195176 39715 15502 41 .222.290.358.648 .136.284 268 .296 85 -3 +0 +1 +2 +6 0.6
202824 MLB 26%ATL 303272 631129 24774 61 .232.303.386.689 .154.286 258 .304 91 -3 +1 +1 +3 +9 1.1
202925 MLB 43%ATL 369332 7714211 30924 81 .232.303.386.689 .154.287 258 .310 95 -2 +1 +2 +4 +10 1.5
203026 MLB 58%ATL 411369 8816313 341025 81 .238.311.404.715 .165.288 258 .312 97 -1 +1 +2 +4 +12 1.8
203127 MLB 76%ATL 430386 9016313 361075 91 .233.307.391.698 .158.288 258 .313 97 -1 +1 +2 +5 +12 1.9
203228 MLB 84%ATL 439393 9116313 381115 81 .232.307.387.694 .155.287 259 .311 96 -2 +1 +1 +5 +12 1.8
203329 MLB 90%ATL 437391 9116313 381115 81 .233.309.389.698 .156.287 259 .309 95 -3 +1 +0 +5 +12 1.6
203430 MLBATL 432387 8816213 371115 80 .227.303.380.683 .152.285 269 .306 92 -4 +2 -0 +5 +12 1.5
203531 MLBATL 421377 8515212 361105 70 .225.301.371.673 .146.284 269 .302 90 -5 +1 -1 +5 +12 1.2
203632 MLBATL 405362 8014211 351085 60 .221.299.362.660 .141.282 279 .298 86 -6 +1 -2 +4 +11 0.9
203733 MLBATL 376337 7413210 321034 60 .220.295.359.654 .139.281 279 .292 82 -8 +1 -3 +4 +11 0.6
203834 MLBATL 333298 641128 28944 50 .215.291.346.637 .131.279 288 .286 77 -9 +1 -4 +4 +9 0.2
203935 MLBATL 280252 52917 23823 50 .206.281.333.614 .127.276 298 .278 71 -9 +1 -4 +3 +8 -0.2
204036 MLBATL 224202 41715 18682 40 .203.275.322.597 .119.273 308 .269 64 -9 +1 -5 +2 +6 -0.5
▸ Career Totals (MLE all levels + projections)
Career 51884661 104418730145 429139059 958 .224.298.370.668 .146.285 278 .299 87 -78 +16 -10 +56 +147 13.2
/ 162G 650584 13023418 541747 121 .223.296.368.664 .146.284 278 .299 87 -10 +2 -1 +7 +18 1.7

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
202521 A+Rome Emperors 109103 261011 5421 21 .252.294.398.692 .146.417 395 .307 93 -1 +0 +3 0.2

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
Alex Lodise (OGILVIE) 22 20→38 40→51 55→52 35 .205/.266/.331 .127.288 32 32% 7% 65 -0.1
Bo Naylor
2022 · AA
22 34→43 46→55 53→50 39 .181/.240/.306 .126.262 1410 36% 7% 46 -2.0 .213/.300/.385 .172.281 2013 30% 10% 93 +1.3 .216/.308/.399.183.269221228%11%97+1.2
Yu Chang
2018 · AA
22 37→44 49→50 49→45 39 .195/.252/.345 .150.266 179 33% 6% 63 -0.9 .209/.268/.346 .137.291 147 32% 7% 69 -0.4 .213/.268/.374.161.27120629%6%75-0.0
Tucker Mitchell
2023 · A
22 38 43→50 51→45 35 .183/.259/.287 .104.311 1111 42% 6% 51 -1.7 .198/.263/.310 .112.287 137 34% 6% 58 -1.2 .185/.242/.280.095.26113533%5%38-1.0
Kendall Simmons
2023 · A
23 36 47→50 49→50 38 .190/.256/.326 .136.273 1510 35% 6% 59 -1.1 .205/.269/.352 .147.297 179 35% 6% 72 -0.2 .199/.264/.350.151.29018736%6%66-0.2
Luis Santana
2022 · AA
23 40 42→45 47→50 40 .200/.259/.300 .100.270 1010 29% 6% 53 -1.5 .216/.274/.342 .126.277 149 26% 6% 70 -0.3 .207/.266/.330.122.25815725%5%61-0.6
Sean Bouchard
2019 · A
23 38→44 44→55 48→50 37 .196/.244/.314 .117.275 1213 33% 5% 50 -1.7 .201/.254/.332 .131.296 1310 35% 6% 59 -1.1 .223/.323/.415.191.292211629%11%106+1.0
Marcus Greene Jr.
2017 · A
22 35 46→50 45→40 40 .185/.251/.313 .128.265 155 35% 7% 53 -1.5 .209/.268/.329 .120.279 134 28% 7% 65 -0.7 .211/.271/.321.110.27512227%7%61-0.4
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
Jorge Alfaro
2015 · AA
22 41→51 47→50 48→50 33 .208/.259/.345 .136.300 148 35% 4% 65 -0.7 .219/.263/.345 .126.320 135 35% 4% 66 -0.6 .259/.315/.406.147.38019635%5%97+0.8
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
Sean Coyle
2014 · A
22 36 48→50 54→50 37 .191/.251/.335 .144.272 1614 35% 6% 59 -1.1 .202/.261/.344 .142.302 1713 37% 7% 66 -0.6 .180/.244/.304.124.276151239%7%45-1.1
Rodolfo Castro
2021 · A
22 36→42 48→55 46→50 34 .192/.230/.332 .140.264 166 34% 4% 49 -1.8 .213/.267/.378 .165.281 218 31% 6% 77 +0.1 .207/.276/.361.154.269191130%7%74-0.1
Alan Espinoza
2013 · AAA
22 44 44→55 52→45 40 .216/.267/.333 .117.301 1112 31% 6% 64 -0.8 .230/.279/.352 .122.283 138 23% 5% 75 -0.0 .255/.294/.411.157.28819319%4%94+0.7
Max Stassi
2013 · A
22 41→43 47→55 43→40 40 .210/.270/.343 .133.290 154 32% 6% 69 -0.4 .216/.264/.358 .142.286 173 30% 5% 70 -0.3 .208/.295/.359.151.27120030%10%81+0.2
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
Jake Rogers
2018 · A
23 41→40 44→55 47→45 42 .205/.269/.327 .122.280 1110 30% 7% 65 -0.7 .196/.267/.342 .146.271 177 33% 8% 69 -0.4 .206/.283/.412.206.26529133%8%91+0.6
Michael Chavis
2017 · A
21 36→46 45→60 46→45 34 .189/.233/.308 .119.271 136 35% 4% 44 -2.1 .224/.274/.401 .177.296 234 32% 5% 86 +0.8 .235/.292/.438.203.30429332%6%100+1.1
Alonzo Harris
2010 · A
21 41→50 45→55 50→60 37 .209/.251/.325 .116.281 1412 31% 5% 56 -1.3 .210/.248/.305 .095.275 815 26% 4% 48 -1.9 .240/.296/.401.161.286193522%7%92+0.9
John Hester
2007 · A
23 42 43→55 50 41 .206/.271/.327 .122.299 107 33% 7% 65 -0.7 .224/.267/.365 .141.298 147 29% 5% 72 -0.2 .249/.292/.416.167.322151027%5%94+0.7
Travis Demeritte
2017 · A
22 36→43 49→60 52→50 36 .181/.248/.330 .149.316 1711 46% 8% 56 -1.3 .194/.257/.351 .157.294 188 38% 7% 66 -0.6 .204/.271/.391.188.28824737%8%79+0.2