Lorenzo MeolaSS San Jose Giants
Age 22 R/R 5'11" / 180 lbs A BB -3% Svc 0.0 · Ctrl thru 2036 peak 1.6 · 2030
wRC+†36
AVG/OBP/SLG.213 / .274 / .338
PA82
HR2
K%30
BB%7
MLB%0%
BAT: -6.0 runs (wOBA-derived runs vs avg)-6BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +2.3 runs (Replacement-level credit)+2REPTotal WAR: -0.30-0.3WAR
Scouting · nowfuture
HIT
4545
PWR
4242
SPD
5555
FLD
6060
trajectory · 10 yrs
1.3peak
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+1.6$15M+$14M
2032Ext / FA-deal$0.9M+1.6$15M+$14M
2033Ext / FA-deal$1.0M+1.4$14M+$13M
2034Ext / FA-deal$3M+1.2$12M+$10M
2035Ext / FA-deal$3M+1.0$10M+$7M
2036Ext / FA-deal$3M+0.7$4M+$0.3M
Totals $12M $70M +$58M

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 ASan Jose Giants 7067 14302 3240 31 .209.243.343.586 .134.293 344 .239 41 -5 +0 +0 +1 +2 -0.2
▸ 2026 Season (actual · ROS · total)
202622 ASan Jose Giants 7668 13400 5231 31 .191.257.250.507 .059.277 307 .229 33 -6 +0 +0 +1 +2 -0.3
ROS22 MLBSF 66 1000 020 00 .167.167.167.333 .000.287 330 .270 65 -0 +0 +0 +0 +0 0.0
TOT22 MLBSF 8274 14400 5251 31 .189.250.243.493 .054.275 306 .232 36 -6 +0 +0 +1 +2 -0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%SF 175158 36714 13422 41 .228.295.361.656 .133.278 247 .289 80 -4 +0 +1 +2 +5 0.5
202824 MLB 26%SF 288260 591127 23683 62 .227.297.365.663 .138.280 248 .296 85 -5 +0 +2 +3 +8 0.9
202925 MLB 43%SF 358321 741429 30844 82 .231.304.371.675 .140.281 238 .301 88 -5 +1 +3 +4 +10 1.3
203026 MLB 58%SF 403362 8316210 34954 92 .229.302.367.670 .138.282 248 .303 90 -5 +1 +3 +4 +11 1.6
203127 MLB 76%SF 425382 8817211 361004 92 .230.303.372.675 .141.282 248 .303 90 -5 +1 +3 +5 +12 1.6
203228 MLB 84%SF 436391 8917211 381044 92 .228.303.366.668 .138.281 249 .302 89 -5 +1 +3 +5 +12 1.6
203329 MLB 90%SF 434389 8917211 381054 92 .229.304.368.672 .139.281 249 .300 88 -6 +1 +2 +5 +12 1.4
203430 MLBSF 430386 8616210 371054 91 .223.297.352.650 .130.279 249 .297 85 -7 +1 +1 +5 +12 1.2
203531 MLBSF 420376 8416210 371044 81 .223.300.356.656 .133.278 259 .293 82 -8 +1 +0 +4 +12 1.0
203632 MLBSF 403361 791529 351024 70 .219.295.346.641 .127.276 259 .288 79 -10 +1 -0 +4 +11 0.7
203733 MLBSF 375337 721328 32983 70 .214.288.335.623 .122.275 269 .283 74 -11 +1 -1 +4 +11 0.4
203834 MLBSF 331297 641227 28893 60 .215.290.340.630 .125.273 278 .276 70 -11 +1 -2 +4 +9 0.0
203935 MLBSF 279251 50915 24782 50 .199.274.303.577 .104.271 289 .269 64 -11 +1 -3 +3 +8 -0.3
▸ Career Totals (MLE all levels + projections)
Career 48334344 96818324114 408120045 9916 .223.296.355.651 .132.280 258 .292 82 -99 +13 +12 +52 +137 11.8
/ 162G 650584 13025315 551616 132 .223.296.353.649 .130.280 258 .292 82 -13 +2 +2 +7 +18 1.6

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 ASan Jose Giants 7066 18403 4170 31 .273.314.470.784 .197.326 246 .345 122 +2 +0 +2 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
Lorenzo Meola (OGILVIE) 22 45 42 55 .213/.274/.338 .124.289 22 30% 7% 70 -0.0
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
Juan Mora
2022 · A
22 46 44→45 55 46 .222/.297/.343 .121.288 1115 26% 8% 81 +0.4 .226/.283/.335 .109.306 109 28% 5% 72 -0.2 .220/.277/.325.105.29210827%5%65-0.3
José Caballero
2019 · A
22 48→45 43→45 48→70 45 .232/.292/.346 .114.280 109 21% 6% 79 +0.3 .220/.293/.329 .109.282 925 24% 7% 76 +0.0 .229/.321/.344.115.305106326%9%87+0.6
Alexander Campos
2022 · A
22 43 42→40 46→45 48 .209/.289/.317 .108.281 96 28% 9% 70 -0.3 .221/.304/.311 .090.312 86 29% 9% 75 -0.0 .236/.329/.308.072.3307628%11%83+0.2
Andy Burns
2013 · A
22 44→54 47→50 53→55 44 .218/.289/.364 .146.294 1313 29% 8% 82 +0.5 .236/.286/.372 .136.293 1216 23% 6% 82 +0.5 .246/.291/.367.121.297101520%5%81+0.4
D'Andre Smith
2023 · A
22 47→53 47→45 49→60 37 .224/.284/.362 .138.335 1410 36% 6% 80 +0.4 .208/.260/.305 .097.303 815 32% 5% 54 -1.4 .217/.265/.310.093.29782428%4%53-0.7
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
Chris Nelson
2008 · A
22 44→54 46→50 52→50 41 .222/.269/.358 .136.276 1312 24% 5% 72 -0.2 .225/.279/.355 .130.281 1212 24% 6% 76 +0.0 .257/.301/.387.130.31113721%5%87+0.6
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
Ryan Bliss
2022 · A
22 43→48 47→45 51→60 39 .219/.268/.356 .137.296 1515 31% 6% 71 -0.3 .204/.265/.328 .124.278 1230 30% 7% 63 -0.9 .206/.275/.334.128.276124229%7%66-0.6
Seth Mejias-Brean
2013 · A
22 46→53 46→45 53→45 45 .232/.286/.365 .134.280 148 22% 6% 81 +0.4 .238/.300/.347 .109.297 95 22% 8% 82 +0.5 .235/.303/.339.104.2989523%8%77+0.1
Ramon Santana
2008 · A
22 44→53 44→45 49→45 46 .214/.295/.332 .118.288 117 28% 8% 77 +0.1 .215/.282/.328 .113.315 108 33% 6% 70 -0.3 .212/.276/.321.109.3188433%6%62-0.4
Paul Vasquez
2008 · A
23 47 43→45 52→30 39 .231/.271/.342 .111.307 109 28% 5% 68 -0.5 .234/.273/.339 .105.293 85 22% 3% 68 -0.5 .235/.269/.339.104.2928222%2%63-0.3
Dom Keegan
2023 · A
22 48→50 46→50 50→30 42 .233/.294/.366 .133.327 139 31% 7% 85 +0.7 .229/.294/.363 .134.310 133 29% 7% 84 +0.6 .224/.289/.360.136.30414129%7%81+0.3
Canaan Smith-Njigba
2021 · A
22 47 44→45 50→55 45 .230/.291/.353 .122.306 1210 28% 8% 79 +0.3 .230/.300/.348 .118.336 1017 32% 9% 82 +0.5 .228/.299/.352.124.336112133%9%80+0.2
Corey Joyce
2021 · A
22 44 40→45 50 40 .212/.268/.307 .095.307 88 32% 6% 58 -1.2 .203/.290/.313 .110.295 1112 32% 9% 70 -0.3 .212/.315/.318.105.30191429%10%80+0.2
Christopher Bostick
2015 · A
22 43→53 44→45 52→55 40 .212/.265/.333 .122.290 1015 30% 6% 64 -0.8 .222/.269/.335 .113.294 915 26% 5% 66 -0.6 .235/.286/.345.110.3069725%5%72-0.2
Imbewer Alvarez
2008 · A
22 47 40 51→55 46 .225/.293/.318 .094.300 717 26% 8% 72 -0.2 .201/.260/.278 .077.307 512 34% 6% 47 -1.9 .135/.182/.184.049.2234540%2%-12-1.0
Connor Norby
2022 · A
22 48→49 43→55 49→50 45 .228/.300/.340 .113.324 1011 31% 8% 81 +0.4 .238/.298/.405 .167.308 2011 28% 7% 97 +1.5 .239/.300/.413.174.310211129%7%97+1.5
Jack Marder
2012 · A
22 48 44→45 49→50 41 .234/.291/.351 .117.291 1112 23% 5% 80 +0.4 .237/.295/.352 .115.291 1013 21% 5% 82 +0.5 .232/.293/.342.110.284101221%5%76+0.0