Luis De Los Santos3B Syracuse Mets
Age 28 R/R 6'2" / 160 lbs AAA H +5%HR +3% Svc 2.000S2 · Ctrl thru 2029
wRC+†62
AVG/OBP/SLG.209 / .268 / .317
PA250
HR5
K%29
BB%6
MLB%10%
BAT: -10.8 runs (wOBA-derived runs vs avg)-11BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.30-0.3WAR
Scouting · nowfuture
HIT
4545
PWR
4040
SPD
4545
EYE
3925
trajectory · 10 yrs
-0.3peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb SUPER-2
MLB Debut   2024
Service   2.000 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2026Arb-1$0.2M
2027Arb-2$0.2M
2028Arb-3$0.4M
2029Arb-4$0.6M
Totals $-8M $-8M +$0.0M

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
201618 ROKDSL Blue Jays 211193 45511 6469 52 .233.288.285.573 .052.301 223 .242 43 -13 +0 +0 +1 +6 -0.7
201719 ROK2 teams 224207 42721 4686 70 .203.240.271.510 .068.289 302 .217 24 -19 +1 +0 +1 +6 -1.1
201820 ROKBluefield Blue Jays 260238 43635 10847 92 .181.235.294.529 .113.250 324 .229 33 -20 +1 +0 +1 +7 -1.0
201921 ALansing Lugnuts 8480 13310 4250 12 .163.202.225.427 .062.236 305 .189 3 -9 -1 +0 +0 +2 -0.7
202123 A+Vancouver Canadians 407381 8221111 1112710 45 .215.256.362.618 .147.286 313 .268 63 -17 -1 +0 +1 +12 -0.5
202224 AA2 teams 465430 1021728 261293 84 .237.285.342.627 .105.314 286 .276 70 -16 +0 +0 +2 +13 -0.1
202325 AAA2 teams 340304 601617 271017 42 .197.278.326.604 .128.268 308 .267 63 -14 +0 +0 +1 +10 -0.4
202426 AAA3 teams 267240 551008 23753 42 .229.305.371.675 .142.297 289 .296 85 -5 +0 +0 +1 +8 0.4
202527 AAA2 teams 431408 871006 141316 42 .213.250.282.532 .069.298 303 .236 39 -30 +0 +0 +2 +12 -1.6
▸ 2026 Season
202628 MLBNYM 250229 47805 15734 31 .205.266.306.572 .100.282 296 .266 62 -11 +0 +0 +1 +7 -0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202729 MLB 20%NYM 358327 701218 231045 31 .214.276.330.606 .116.283 296 .270 65 -14 +0 -1 +1 +10 -0.4
202830 MLB 33%NYM 365333 711218 241055 31 .213.276.327.604 .114.282 297 .271 65 -14 +0 -2 +1 +10 -0.5
202931 MLB 43%NYM 350319 671217 231015 10 .210.274.320.594 .110.281 297 .270 65 -14 +0 -3 +1 +10 -0.6
203032 MLB 52%NYM 331302 641117 22974 00 .212.274.325.599 .113.280 297 .266 62 -14 +0 -3 +1 +9 -0.7
203133 MLB 70%NYM 301274 571016 20904 00 .208.272.318.589 .109.279 307 .261 58 -14 +0 -4 +1 +9 -0.9
203234 MLB 87%NYM 258236 47805 17793 00 .199.262.297.558 .097.277 317 .255 53 -14 +0 -5 +1 +7 -1.0
▸ Career Totals (MLE all levels + projections)
Career 49024501 9521681693 269143581 5624 .212.268.318.586 .106.286 295 .260 57 -238 +2 -19 +18 +139 -10.1
/ 162G 650597 12622212 3619011 73 .211.269.315.584 .104.285 296 .260 57 -32 +0 -2 +2 +18 -1.3

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
201618 ROKDSL Blue Jays 211189 55711 10329 52 .291.356.354.710 .063.346 155 .322 104 +1 +0 +6 0.7
201719 ALansing Lugnuts 2421 3000 060 00 .143.143.143.286 .000.188 250 .113 -55 -4 +0 +1 -0.4
201719 ROKGCL Blue Jays 200184 531131 6426 70 .288.332.397.728 .109.361 213 .320 103 +1 +1 +6 0.8
201820 ROKBluefield Blue Jays 260232 57857 15597 92 .246.310.414.724 .168.296 236 .315 100 -0 +1 +7 0.8
201921 ALansing Lugnuts 8478 16410 6190 12 .205.262.282.544 .077.271 237 .249 49 -5 -1 +2 -0.3
202123 A+Vancouver Canadians 407376 9525212 169310 45 .253.301.426.727 .173.301 234 .318 102 +1 -1 +12 1.1
202224 AAABuffalo Bisons 1615 1100 130 10 .067.125.133.258 .067.083 196 .124 -47 -3 +0 +0 -0.2
202224 AANew Hampshire Fisher Cats 449406 10719210 34993 74 .264.325.394.719 .131.320 228 .319 102 +1 -0 +13 1.4
202325 AAABuffalo Bisons 255214 471217 32547 10 .220.340.383.723 .164.258 2113 .327 109 +3 +0 +7 1.0
202325 AANew Hampshire Fisher Cats 8578 20701 7260 32 .256.318.385.702 .128.373 318 .315 100 -0 -0 +2 0.2
202426 MLBToronto Blue Jays 3129 5200 2100 00 .172.226.241.467 .069.263 326 .215 23 -3 +0 +0 +1 +1 -0.1
202426 AAABuffalo Bisons 154127 33506 21353 31 .260.373.441.813 .181.310 2314 .362 135 +6 +0 +4 1.1
202426 INTLLeones del Escogido 8275 15501 7230 11 .200.268.307.575 .107.275 289 .263 59 -4 -0 +2 -0.2
202527 AAASyracuse Mets 382356 861108 18955 31 .242.287.340.627 .098.307 255 .282 74 -11 +0 +11 -0.0
202527 INTLLeones del Escogido 4945 9200 2131 11 .200.250.244.494 .044.281 274 .225 31 -4 -0 +1 -0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 3129 5200 2100 00 .172.226.241.467 .069.263 326 .215 23 -3 +0 +0 +1 +1 -0.1

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
Luis De Los Santos (OGILVIE) 28 45 40 45 25 .209/.268/.317 .108.282 53 29% 6% 62 -0.4
Beamer Weems
2015 · AAA
28 43→47 43→45 46→40 40 .212/.261/.317 .106.280 117 28% 6% 58 -1.2 .207/.257/.304 .097.253 87 21% 6% 53 -1.5 .181/.232/.255.074.2213019%6%25-1.3
Jonathan Mota
2015 · AAA
28 45→48 42→45 47→45 39 .221/.257/.325 .104.284 105 26% 4% 57 -1.2 .214/.250/.303 .089.269 86 23% 4% 48 -1.9 .206/.239/.275.069.2516320%4%33-1.6
Leury Bonilla
2013 · AAA
28 47 41→45 44→50 38 .229/.267/.325 .096.306 910 28% 5% 62 -0.9 .219/.262/.292 .073.290 59 25% 5% 51 -1.7 .214/.258/.275.061.2784824%5%40-1.2
Bubba Starling
2021 · MLB
28 45→46 45 49→50 40 .223/.269/.339 .116.297 1311 29% 6% 66 -0.6 .226/.273/.386 .160.295 2010 30% 6% 81 +0.4 .202/.239/.434.232.22932529%5%77+0.0
Juan Brito
2006 · MLB
28 44 43→45 47→40 42 .220/.267/.325 .105.283 115 26% 6% 63 -0.9 .230/.277/.343 .113.300 124 26% 6% 71 -0.3 .232/.277/.338.106.30210026%5%67-0.2
Martin Cervenka
2021 · AAA
28 43→48 46→45 49→40 40 .216/.265/.337 .121.290 146 30% 6% 65 -0.7 .197/.258/.321 .124.275 147 32% 7% 58 -1.2 .144/.214/.269.124.18515232%8%25-1.2
Gift Ngoepe
2018 · MLB
28 43→42 43→45 42→50 38 .204/.261/.315 .111.312 96 36% 6% 57 -1.2 .185/.255/.294 .109.332 118 43% 8% 50 -1.7 .137/.222/.220.083.27610750%9%16-1.2
Alvin Colina
2010 · AAA
28 41 45 45→40 39 .209/.261/.332 .122.276 145 29% 5% 62 -0.9 .215/.263/.342 .127.288 157 30% 5% 66 -0.6 .180/.219/.291.112.24214332%3%31-1.0
Zach Remillard
2022 · AAA
28 40→50 43→40 49→55 40 .201/.265/.301 .100.283 1213 32% 6% 56 -1.3 .214/.281/.308 .094.290 918 27% 7% 64 -0.8 .209/.276/.289.080.28471927%7%55-0.9
Jason Delay
2023 · MLB
28 41 39→45 42→40 39 .202/.249/.290 .088.280 75 30% 5% 45 -2.1 .221/.277/.307 .086.290 55 24% 6% 62 -0.9 .215/.272/.281.066.2783222%6%49-0.6
Jason Leblebijian
2018 · AAA
27 44→49 44→45 46→45 38 .215/.267/.329 .115.310 118 33% 6% 63 -0.8 .210/.272/.327 .117.313 138 35% 7% 66 -0.6 .181/.257/.284.102.27214836%8%45-1.1
Steve Moss
2012 · AAA
28 45→49 45 49→50 41 .221/.280/.345 .124.303 139 30% 6% 74 -0.1 .247/.313/.419 .172.327 2211 30% 8% 107 +2.2 .238/.320/.440.202.28628826%9%112+0.6
Julian Laurean
2011 · AAA
27 45 45→40 44→40 41 .224/.277/.347 .122.291 129 27% 6% 72 -0.2 .226/.281/.334 .108.280 97 22% 6% 71 -0.3 .222/.281/.307.085.2695018%6%64-0.3
Alex De Goti
2022 · AAA
27 42→46 43→45 49→50 43 .206/.269/.317 .110.278 108 28% 7% 61 -1.0 .201/.276/.293 .092.275 79 27% 9% 59 -1.1 .191/.273/.268.077.25961026%9%48-1.1
Grayson Greiner
2021 · MLB
28 40 46→45 45→30 44 .206/.272/.331 .125.276 154 30% 8% 66 -0.6 .196/.260/.306 .110.334 125 42% 7% 55 -1.4 .177/.244/.263.086.3299146%8%34-0.9
Kelvin Gutiérrez
2022 · MLB
27 48→55 42→45 48→50 42 .231/.283/.337 .105.305 108 27% 6% 72 -0.2 .226/.281/.343 .117.292 129 25% 7% 72 -0.2 .215/.273/.325.109.275121225%7%62-0.4
Caonabo Cosme
2007 · AAA
28 43 45→50 46→45 42 .215/.266/.337 .122.273 138 26% 6% 65 -0.7 .224/.254/.359 .135.315 167 33% 4% 66 -0.6 .227/.247/.363.136.32717435%3%60-0.4
Taylor Featherston
2018 · MLB
28 39→45 45→50 51→50 39 .201/.254/.323 .122.272 1312 31% 5% 57 -1.2 .183/.239/.304 .121.303 1410 42% 5% 46 -2.0 .154/.212/.270.115.27814848%4%24-2.4
Tyler Ladendorf
2016 · MLB
28 47→49 41→40 47→50 45 .226/.283/.323 .098.286 86 23% 7% 69 -0.4 .207/.256/.285 .078.269 58 24% 6% 46 -2.0 .199/.257/.293.094.2519423%6%47-0.6
Jose Castaneda
2013 · AAA
28 49 43→45 41→40 38 .237/.282/.343 .106.318 115 28% 4% 73 -0.1 .223/.269/.332 .109.281 125 25% 5% 65 -0.7 .209/.257/.312.103.25712323%5%52-0.8