Roger LassoOF Rancho Cucamonga Quakes
Age 22 R/R 6'0" / 180 lbs A HR -5% Svc 0.0 · Ctrl thru 2036 peak 0.7 · 2030
wRC+†74
AVG/OBP/SLG.213 / .288 / .329
PA193
HR4
K%28
BB%8
MLB%0%
BAT: -5.7 runs (wOBA-derived runs vs avg)-6BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.2 runs (Positional adjustment)-1POSREP: +5.5 runs (Replacement-level credit)+5REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
3742
PWR
3136
SPD
4449
EYE
4449
trajectory · 10 yrs
0.7peak
2030

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+0.7$3M+$2M
2032Ext / FA-deal$0.9M+0.6$3M+$2M
2033Ext / FA-deal$1.0M+0.4$2M+$1M
2034Ext / FA-deal$0.4M+0.2$1M+$0.6M
2035Ext / FA-deal$5M
2036Ext / FA-deal$0.6M
Totals $9M $8M -$0.8M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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 152136 23921 12431 10 .169.242.287.528 .118.232 288 .225 30 -12 +0 +0 -1 +4 -0.9
202218 ROKDSL LAD Bautista 180157 22404 16574 24 .140.237.242.479 .102.182 329 .215 23 -16 -1 +0 -1 +5 -1.3
202319 ROKDSL LAD Bautista 142112 28520 21367 02 .250.400.330.730 .080.359 2515 .327 108 +1 -1 +0 -1 +4 0.4
202420 ROKACL Dodgers 147130 27611 12333 42 .208.290.292.582 .085.265 228 .248 48 -9 +0 +0 -1 +4 -0.5
202521 A2 teams 207187 34601 11697 00 .182.254.230.484 .048.277 335 .210 19 -19 +0 +0 -1 +6 -1.5
▸ 2026 Season
202622 MLBLAA 193172 37714 16543 31 .215.293.337.630 .122.286 288 .282 74 -6 +0 +0 -1 +5 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%LAA 257229 511016 22694 41 .223.302.354.656 .131.287 279 .292 82 -5 +0 +0 -2 +7 0.1
202824 MLB 26%LAA 349311 701328 30915 62 .225.303.357.660 .132.288 269 .299 87 -5 +0 +0 -2 +10 0.3
202925 MLB 43%LAA 403358 8115210 361046 72 .226.307.363.671 .137.289 269 .303 90 -5 +1 +0 -2 +11 0.5
203026 MLB 58%LAA 437388 8817211 401136 82 .227.309.366.675 .139.289 269 .305 92 -4 +1 +0 -3 +12 0.7
203127 MLB 76%LAA 451400 9017211 411177 82 .225.308.360.668 .135.289 269 .305 92 -4 +1 +0 -3 +13 0.7
203228 MLB 84%LAA 456404 9117211 421197 82 .225.309.359.668 .134.289 269 .304 91 -5 +1 -1 -3 +13 0.6
203329 MLBLAA 452401 9017211 421196 71 .224.307.359.666 .135.288 269 .302 89 -5 +1 -1 -3 +13 0.4
203430 MLBLAA 445394 8716211 421196 71 .221.305.355.661 .135.287 279 .299 87 -7 +1 -2 -3 +13 0.2
203531 MLBLAA 434385 8416210 401186 60 .218.302.348.650 .130.285 279 .295 84 -8 +1 -3 -3 +12 0.0
203632 MLBLAA 417369 801529 391156 50 .217.302.341.643 .125.284 289 .290 80 -9 +1 -4 -3 +12 -0.2
203733 MLBLAA 388344 731328 361105 40 .212.296.331.627 .119.282 289 .285 76 -10 +1 -4 -2 +11 -0.5
203834 MLBLAA 344304 621117 321005 40 .204.290.316.606 .112.280 299 .279 71 -11 +1 -5 -2 +10 -0.8
▸ Career Totals (MLE all levels + projections)
Career 58545181 111821428124 530158694 8422 .216.300.340.640 .124.283 279 .289 79 -138 +8 -20 -35 +166 -2.0
/ 162G 650575 12424314 5917610 92 .216.299.341.640 .125.283 279 .289 79 -15 +1 -2 -4 +18 -0.2

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 152127 311331 21281 10 .244.356.417.773 .173.297 1814 .340 118 +3 +0 +4 0.8
202218 ROKDSL LAD Bautista 180149 30605 24414 24 .201.328.342.670 .141.236 2313 .305 92 -2 -1 +5 0.2
202319 ROKDSL LAD Bautista 142101 34720 32257 02 .337.521.446.967 .109.436 1823 .439 194 +15 -1 +4 1.9
202420 ROKACL Dodgers 147121 34811 21223 42 .281.400.388.788 .107.330 1514 .357 132 +5 +0 +4 1.0
202521 ARancho Cucamonga Quakes 144125 29600 12364 00 .232.317.280.597 .048.319 258 .277 70 -5 +0 +4 -0.1
202521 ROKACL Dodgers 6357 15301 3143 00 .263.333.368.702 .105.333 225 .320 103 +0 +0 +2 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
Roger Lasso (OGILVIE) 22 37→42 31→36 44→49 49 .213/.288/.329 .116.286 43 28% 8% 74 -0.0
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
Anderson Gomes
2007 · A
22 41→38 43→45 47→50 39 .205/.252/.313 .108.275 109 29% 5% 53 -1.5 .220/.270/.333 .113.292 117 27% 6% 66 -0.6 .223/.275/.335.112.29012526%6%67-0.2
Cirilo Cumberbatch
2008 · A
22 48→43 42→40 48→45 44 .233/.290/.332 .100.289 96 22% 6% 74 -0.1 .218/.268/.291 .073.282 67 23% 5% 54 -1.4 .204/.250/.248.044.2683724%4%32-2.0
Kyler Fedko
2023 · A
23 44→42 42→45 51→55 48 .212/.285/.319 .107.280 910 26% 8% 69 -0.4 .204/.289/.323 .119.267 1214 26% 10% 72 -0.2 .192/.284/.327.135.243172127%10%69-0.2
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
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
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
Ronarsy Ledesma
2015 · A
22 46 41→45 48→50 41 .222/.274/.327 .106.285 710 24% 5% 66 -0.6 .199/.244/.287 .088.315 88 38% 5% 43 -2.2 .176/.217/.234.058.29881042%4%14-1.4
Matt Fiedler
2017 · A
22 48 41→45 50 44 .233/.283/.340 .106.292 89 22% 6% 72 -0.2 .223/.278/.324 .101.288 88 24% 6% 66 -0.6 .214/.271/.315.101.27210824%6%59-0.3
Ryan Vega
2019 · A
22 47 40 47→45 44 .227/.283/.322 .094.291 87 24% 6% 68 -0.5 .194/.261/.279 .085.292 77 33% 7% 49 -1.8 .161/.235/.237.076.2448635%7%24-2.0
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
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
Alex Call
2017 · A
22 47→48 42→50 48→50 43 .229/.285/.333 .104.290 912 24% 6% 72 -0.2 .197/.256/.302 .105.271 98 29% 6% 53 -1.5 .221/.325/.367.147.256161720%12%99+1.2
Brennan Milone
2023 · A
22 50→45 40→45 50→45 46 .236/.298/.326 .090.311 88 26% 8% 76 +0.0 .223/.299/.358 .135.290 155 27% 9% 85 +0.7 .207/.287/.341.133.26916528%9%74-0.1
Buddy Kennedy
2021 · A
22 45→52 41→45 45→50 45 .219/.272/.320 .101.274 85 23% 7% 63 -0.9 .218/.292/.339 .121.292 1310 28% 9% 77 +0.1 .229/.316/.348.119.28011421%9%88+0.7
Rainel Rosario
2011 · A
22 42→51 45→50 46→50 44 .207/.283/.342 .135.296 119 32% 8% 74 -0.1 .210/.267/.310 .100.310 89 33% 7% 59 -1.1 .253/.308/.402.150.28519618%7%96+1.1
Efrain Contreras
2009 · A
22 46 43→45 53→55 44 .225/.288/.337 .112.264 1113 19% 5% 76 +0.0 .205/.261/.289 .084.285 79 29% 6% 51 -1.7 .186/.239/.251.065.2756733%5%28-1.3
Stuart Fairchild
2018 · A
22 47→43 38→50 51→55 43 .225/.288/.307 .082.288 611 23% 6% 66 -0.6 .213/.277/.321 .108.295 911 29% 6% 66 -0.6 .220/.305/.384.164.292181629%8%91+0.6
Connor Kokx
2023 · A
23 43 41→40 48→60 49 .207/.293/.305 .098.273 914 26% 9% 69 -0.4 .206/.291/.286 .080.292 624 29% 8% 64 -0.8 .196/.287/.257.061.28933430%8%52-0.7
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