Jesus GalizC Great Lakes Loons
Age 22 R/R 5'10" / 183 lbs A+ HR +15%K -3% Svc 0.0 · Ctrl thru 2035 peak 1.5 · 2031
wRC+†60
AVG/OBP/SLG.202 / .274 / .323
PA144
HR3
K%31
BB%7
MLB%0%
BAT: -6.5 runs (wOBA-derived runs vs avg)-6BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.6 runs (Positional adjustment)+3POSREP: +4.1 runs (Replacement-level credit)+4REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
2025
PWR
3439
SPD
4247
EYE
4550
trajectory · 10 yrs
1.5peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+1.4$13M+$12M
2031Arb-3$0.9M+1.5$14M+$13M
2032Ext / FA-deal$0.9M+1.4$13M+$12M
2033Ext / FA-deal$2M+1.3$13M+$10M
2034Ext / FA-deal$3M+1.0$10M+$7M
2035Ext / FA-deal$3M+0.8$4M+$0.7M
Totals $12M $67M +$55M

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
202117 ROKDSL LAD Bautista 112104 16310 4263 20 .154.207.202.409 .048.203 234 .177 -6 -13 +0 +0 +2 +3 -0.8
202218 ROKACL Dodgers 9989 14603 7363 00 .157.242.326.568 .169.220 367 .254 53 -5 +0 +0 +2 +3 -0.1
202319 ARancho Cucamonga Quakes 330307 691217 151013 31 .225.268.339.606 .114.304 315 .264 60 -15 +0 +0 +6 +9 0.1
202420 A2 teams 270237 361212 1810911 00 .152.244.236.481 .084.262 407 .222 28 -22 +0 +0 +5 +8 -1.0
202521 INTLGlendale Desert Dogs 3226 5100 591 00 .192.344.231.575 .038.294 2816 +0 +1
▸ 2026 Season (actual · ROS · total)
202622 A+Great Lakes Loons 3229 7100 250 00 .241.290.276.566 .034.280 166 .239 41 -2 +0 +0 +1 +1 -0.1
ROS22 MLBLAD 112101 20402 8342 20 .198.270.297.567 .099.283 307 .271 66 -4 +0 +0 +2 +3 0.1
TOT22 MLBLAD 144130 27502 10392 20 .208.275.292.567 .085.275 277 .264 60 -6 +0 +0 +3 +4 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%LAD 172154 34714 14482 31 .221.294.357.651 .136.280 288 .284 75 -5 +0 +0 +3 +5 0.3
202824 MLB 26%LAD 292262 571117 24794 51 .218.293.347.640 .130.282 278 .291 81 -6 +1 +0 +5 +8 0.8
202925 MLB 44%LAD 368328 731429 32985 61 .223.301.360.661 .137.283 279 .296 85 -6 +1 +0 +7 +10 1.2
203026 MLB 59%LAD 417372 8316211 361116 72 .223.302.366.668 .142.284 279 .298 86 -6 +1 +0 +7 +12 1.4
203127 MLB 76%LAD 443395 8717211 391186 72 .220.300.357.657 .137.284 279 .298 86 -7 +1 +0 +8 +13 1.5
203228 MLB 84%LAD 455405 8917212 411226 71 .220.301.360.661 .141.283 279 .297 86 -7 +1 -1 +8 +13 1.4
203329 MLB 90%LAD 456406 8817211 411246 71 .217.298.350.648 .133.283 279 .295 84 -8 +1 -1 +8 +13 1.3
203430 MLBLAD 452402 8717211 411246 61 .216.298.351.649 .134.281 279 .292 82 -9 +1 -2 +8 +13 1.0
203531 MLBLAD 429382 8216210 391205 50 .215.296.346.641 .131.280 289 .288 79 -10 +1 -3 +8 +12 0.8
203632 MLBLAD 400356 741419 361145 40 .208.290.329.618 .121.278 289 .283 75 -11 +1 -4 +7 +11 0.5
203733 MLBLAD 363324 671318 321064 30 .207.286.327.613 .120.276 299 .278 71 -12 +1 -4 +6 +10 0.1
203834 MLBLAD 312277 561116 28944 30 .202.285.314.599 .112.274 309 .272 66 -12 +1 -5 +6 +9 -0.2
203935 MLBLAD 257230 45815 22803 30 .196.275.304.579 .109.272 319 .264 60 -12 +1 -6 +5 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 57715157 108221623128 482165385 7311 .210.288.335.623 .125.280 298 .280 72 -182 +10 -25 +103 +164 7.1
/ 162G 650581 12224314 5418610 81 .210.288.334.622 .124.281 298 .280 72 -20 +1 -3 +12 +18 0.8

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
202117 ROKDSL LAD Bautista 112101 22510 7173 20 .218.288.287.575 .069.259 156 .264 60 -5 +0 +3 -0.1
202218 ROKACL Dodgers 9985 20804 11253 00 .235.343.471.814 .235.286 2511 .361 134 +4 +0 +3 0.7
202319 ARancho Cucamonga Quakes 330300 801618 21743 31 .267.320.407.727 .140.323 226 .320 103 +1 +0 +9 1.1
202420 A+Great Lakes Loons 5448 2100 5190 00 .042.132.062.195 .021.067 359 .105 -61 -10 +0 +2 -0.8
202420 ARancho Cucamonga Quakes 216183 491623 196111 00 .268.371.426.797 .158.377 289 .355 130 +7 +0 +6 1.4
202521 INTLGlendale Desert Dogs 3226 5100 591 00 .192.344.231.575 .038.294 2816 .285 76 -1 +0 +1 0.0

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
Jesus Galiz (OGILVIE) 22 20→25 34→39 42→47 50 .202/.274/.323 .121.283 32 31% 7% 66 -0.1
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
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
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
Payton Henry
2019 · A
22 41→31 42→45 41→30 38 .192/.261/.298 .106.318 103 40% 7% 54 -1.4 .192/.255/.296 .104.317 113 41% 5% 50 -1.7 .246/.293/.382.135.32219129%4%83+0.2
Miguel Amaya
2021 · A
22 42 46→50 48→40 46 .212/.283/.341 .129.261 144 24% 7% 75 -0.0 .218/.306/.350 .132.298 146 29% 9% 87 +0.8 .233/.304/.378.146.27816122%7%91+0.5
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
Tyler Kolodny
2010 · A
22 40→34 44→45 49→50 40 .200/.267/.320 .119.267 128 29% 6% 63 -0.9 .206/.277/.341 .135.271 149 29% 6% 72 -0.2 .206/.284/.354.148.258171026%5%76+0.0
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
Glenn Santiago
2023 · A
22 41 41→40 46→45 40 .203/.258/.301 .098.286 88 31% 6% 52 -1.6 .200/.266/.289 .089.294 89 32% 7% 53 -1.5 .183/.256/.260.077.2697832%8%40-1.1
Jakson Reetz
2018 · A
22 41→34 40→60 44→45 39 .194/.266/.286 .092.298 76 35% 6% 53 -1.5 .201/.277/.309 .108.285 115 32% 7% 64 -0.8 .197/.277/.397.201.24526431%7%84+0.3
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2
Andy Paz
2015 · A
22 39 38→40 45 45 .191/.251/.267 .076.256 55 26% 7% 40 -2.4 .211/.266/.279 .068.290 46 27% 7% 50 -1.8 .235/.280/.283.048.3033722%6%52-0.5
Kevin Padlo
2018 · A
22 36→40 45→55 44→50 48 .184/.270/.312 .128.257 138 32% 10% 62 -0.9 .195/.278/.343 .148.287 158 35% 9% 73 -0.1 .191/.263/.361.170.260211235%8%69-0.3
Andrew Susac
2013 · A
23 42→39 43→50 46→30 45 .207/.280/.320 .113.292 114 31% 8% 67 -0.5 .217/.291/.360 .143.291 163 29% 9% 82 +0.5 .217/.295/.373.156.28219129%9%85+0.3
Niko Vasquez
2011 · A
22 42→41 41→50 42→45 47 .202/.282/.303 .101.284 84 30% 9% 63 -0.8 .197/.265/.307 .110.264 103 28% 8% 58 -1.2 .227/.282/.376.149.29019628%6%81+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
Carson Blair
2013 · A
23 35 43→50 43→30 38 .178/.239/.287 .110.282 106 39% 7% 41 -2.3 .197/.269/.330 .133.320 124 39% 8% 66 -0.6 .192/.271/.336.144.31514140%9%65-0.3
Joe DeCarlo
2016 · A
22 38 43→50 43→30 44 .184/.274/.291 .106.280 103 35% 9% 59 -1.1 .196/.279/.333 .137.278 162 33% 8% 71 -0.3 .192/.273/.343.151.26318133%8%68-0.3
Óscar Hernández
2015 · A
22 41 44→55 41→40 41 .208/.256/.327 .119.262 114 25% 5% 59 -1.1 .201/.248/.321 .120.261 125 27% 5% 53 -1.5 .164/.214/.271.107.20912128%5%24-1.2
Adam Zebrowski
2023 · A
22 41→33 45 50→40 45 .202/.279/.325 .123.286 125 32% 9% 69 -0.4 .185/.246/.306 .121.280 144 37% 7% 50 -1.8 .171/.225/.285.114.25915239%5%32-1.9