Anderson De Los SantosSS Chesapeake Baysox
Age 22 R/R 5'11" / 185 lbs AA HR +8%BB -5% Svc 0.0 · Ctrl thru 2034 peak 0.7 · 2026
wRC+†88
AVG/OBP/SLG.182 / .258 / .281
PA320
HR5
SB7
K%34
BB%8
MLB%2%
BAT: -4.3 runs (wOBA-derived runs vs avg)-4BATRUN: -0.7 runs (SB/CS + UBR baserunning)-1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.70+0.7WAR
Scouting · nowfuture
HIT
4040
PWR
3535
SPD
5555
EYE
5460
trajectory · 10 yrs
0.7peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M+0.6$3M+$2M
2030Arb-2$0.9M+0.7$3M+$2M
2031Arb-3$0.9M+0.7$3M+$2M
2032Ext / FA-deal$1M+0.6$3M+$2M
2033Ext / FA-deal$1M+0.4$2M+$0.6M
2034Ext / FA-deal$1.0M+0.2$1M+$0.0M
Totals $6M $15M +$9M

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 Orioles 1 127117 28412 9261 31 .239.299.342.641 .103.292 207 .297 85 -2 +0 +0 +1 +4 0.3
202218 ROKFCL Orioles 153133 26902 14344 53 .195.291.308.600 .113.242 229 .257 55 -8 -0 +0 +2 +4 -0.2
202319 ADelmarva Shorebirds 419393 671415 181473 1010 .170.213.249.462 .079.252 354 .206 16 -40 -2 +0 +4 +12 -2.6
202420 A2 teams 425381 56638 361775 1512 .147.230.241.471 .094.242 428 .214 22 -38 -2 +0 +5 +12 -2.3
202521 A+Aberdeen IronBirds 381333 591134 351079 195 .177.273.264.537 .087.247 289 .245 46 -23 +2 +0 +4 +11 -0.7
▸ 2026 Season (actual · ROS · total)
202622 AAChesapeake Baysox 5746 15403 10141 12 .326.456.6091.065 .283.414 2518 .429 186 +6 -1 +0 +1 +2 0.7
ROS22 MLBBAL 263234 47925 24873 64 .201.284.321.604 .120.286 339 .273 67 -10 -0 +0 +3 +7 0.0
TOT22 MLBBAL 320280 621328 341014 76 .221.314.368.682 .146.314 3211 .301 88 -4 -1 +0 +3 +9 0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 12%BAL 446397 781438 401406 106 .196.280.307.587 .111.279 319 .270 65 -18 -0 +0 +5 +13 -0.1
202824 MLB 27%BAL 491436 8916310 461506 117 .204.289.323.612 .119.281 319 .279 71 -16 -1 +0 +5 +14 0.3
202925 MLB 44%BAL 514454 9417311 491546 127 .207.293.330.623 .123.282 3010 .284 75 -14 -0 +0 +6 +15 0.6
203026 MLB 59%BAL 526463 9818312 511577 127 .212.299.341.641 .130.283 3010 .287 78 -13 -0 +0 +6 +15 0.7
203127 MLB 77%BAL 529465 9818312 521587 127 .211.300.340.639 .129.283 3010 .287 78 -13 -0 +0 +6 +15 0.7
203228 MLB 84%BAL 527463 9617312 521587 117 .207.297.335.632 .127.283 3010 .286 77 -14 -1 -1 +6 +15 0.6
203329 MLBBAL 518456 9417311 511576 106 .206.294.329.623 .123.282 3010 .283 75 -15 -0 -1 +6 +15 0.4
203430 MLBBAL 508447 9116311 501566 96 .204.292.327.619 .123.280 3110 .280 73 -16 -1 -2 +5 +14 0.2
203531 MLBBAL 495437 8716210 491546 75 .199.289.314.602 .114.279 3110 .277 70 -17 -1 -3 +5 +14 -0.1
203632 MLBBAL 477421 821529 471516 55 .195.285.304.589 .109.277 3210 .272 66 -18 -1 -4 +5 +14 -0.4
203733 MLBBAL 447395 751328 441445 45 .190.279.294.573 .104.275 3210 .267 62 -19 -1 -4 +5 +13 -0.7
203834 MLBBAL 401354 671227 391335 35 .189.279.294.573 .105.273 3310 .260 58 -19 -1 -5 +4 +11 -1.0
▸ Career Totals (MLE all levels + projections)
Career 76476779 133224242147 706239098 164108 .196.282.310.591 .113.277 319 .269 64 -312 -10 -20 +82 +217 -4.5
/ 162G 650576 11421412 602038 149 .198.282.311.593 .113.280 319 .269 64 -27 -1 -2 +7 +18 -0.4

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 Orioles 1 127111 36623 15181 31 .324.409.495.905 .171.367 1412 .402 165 +9 +0 +4 1.3
202218 ROKFCL Orioles 153124 301102 23234 53 .242.377.379.757 .137.277 1515 .344 122 +4 -0 +4 0.8
202319 ADelmarva Shorebirds 419378 862026 311043 1010 .228.290.339.628 .111.293 257 .281 73 -13 -2 +12 -0.3
202420 A+Aberdeen IronBirds 8669 11301 16271 23 .159.326.246.572 .087.244 3119 .281 73 -3 -1 +2 -0.1
202420 ADelmarva Shorebirds 339292 60748 401064 139 .205.310.339.649 .134.289 3112 .295 84 -6 -1 +10 0.3
202521 A+Aberdeen IronBirds 381313 721546 55839 195 .230.361.361.722 .131.293 2214 .330 111 +5 +2 +11 1.8

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
Anderson De Los Santos (OGILVIE) 22 40 35 55 60 .182/.258/.281 .099.272 57 34% 8% 49 -1.0
Christian Cairo
2023 · A
22 40→47 39→40 53→60 49 .186/.290/.271 .084.288 716 34% 11% 60 -1.0 .204/.296/.285 .081.295 522 29% 10% 66 -0.6 .215/.301/.289.073.31043529%9%66-0.3
Ronaldo Urdaneta
2021 · A
22 44 39→40 53→60 40 .210/.265/.300 .090.306 614 32% 6% 54 -1.4 .187/.266/.264 .077.308 622 38% 8% 47 -1.9 .145/.239/.202.057.24353339%9%19-1.1
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
Corey Joyce
2022 · AA
23 41 39→45 53→50 39 .193/.262/.274 .080.300 713 36% 7% 48 -1.9 .208/.307/.328 .120.294 1212 31% 10% 82 +0.5 .212/.315/.318.105.30191429%10%80+0.2
Chris Roller
2019 · A
22 40 41→45 51→55 43 .194/.269/.295 .102.283 813 32% 8% 56 -1.3 .206/.272/.316 .110.289 812 30% 7% 63 -0.9 .179/.267/.290.111.261111933%9%54-0.8
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
Francisco Acuna
2022 · A
22 39→47 39→40 48→50 44 .186/.276/.275 .089.270 610 31% 8% 56 -1.3 .202/.273/.299 .097.277 711 28% 6% 59 -1.1 .213/.285/.313.100.28291626%7%64-0.4
Dylan Neuse
2023 · A
24 37 39→40 49→50 44 .183/.260/.264 .081.271 814 33% 9% 45 -2.1 .205/.286/.296 .091.292 713 29% 9% 63 -0.8 .211/.301/.305.094.29351327%10%72-0.1
Jorge Alcantara
2013 · A
21 43 41→45 50 43 .204/.273/.304 .100.299 811 32% 8% 59 -1.1 .191/.262/.285 .094.292 614 34% 8% 50 -1.7 .147/.226/.244.097.22162534%8%24-0.9
Ramon Mendoza
2023 · A
22 41→48 37→45 48→45 45 .193/.269/.270 .078.280 47 31% 8% 50 -1.8 .211/.284/.310 .099.294 85 29% 8% 66 -0.6 .219/.298/.332.113.29411327%9%76+0.0
Ethan Murray
2023 · AA
23 38→48 41→40 51→50 43 .188/.257/.286 .099.271 813 32% 8% 49 -1.8 .198/.270/.294 .096.294 712 32% 8% 56 -1.3 .194/.271/.287.093.28671332%8%52-1.0
Kyler Fedko
2022 · A
22 46→42 39→45 51→55 44 .214/.283/.297 .083.316 610 32% 8% 62 -0.9 .207/.288/.315 .108.274 1010 26% 9% 69 -0.4 .192/.284/.327.135.243172127%10%69-0.2
Nelson Medina
2023 · A
22 43 40→45 53→50 45 .200/.283/.296 .096.311 613 35% 9% 63 -0.9 .179/.243/.268 .089.342 713 46% 7% 38 -2.6 .138/.200/.215.077.28161650%7%4-1.7
Livan Soto
2022 · AA
22 37→47 39→40 49→50 43 .183/.239/.268 .085.247 710 28% 7% 36 -2.7 .222/.288/.312 .090.301 710 27% 8% 68 -0.5 .234/.306/.318.084.3097825%9%75-0.0
Nate Easley
2018 · A
22 43 40→45 51→50 46 .207/.272/.298 .092.280 713 28% 8% 57 -1.2 .199/.253/.296 .097.300 711 34% 7% 49 -1.8 .204/.254/.314.110.29381032%6%50-1.1
Justin Trapp
2013 · A
22 44→45 41→45 54→55 40 .212/.269/.314 .103.292 917 30% 6% 60 -1.0 .215/.269/.310 .095.294 915 28% 6% 59 -1.1 .211/.263/.291.080.28781628%5%49-1.5
Cutter Dykstra
2010 · A
21 41→51 40 47→55 43 .200/.262/.286 .086.275 811 29% 7% 50 -1.7 .221/.280/.298 .077.304 616 27% 7% 60 -1.0 .236/.303/.323.087.31361625%8%75-0.0
Tyler Goeddel
2015 · A
22 45→49 41→45 56→55 42 .216/.273/.320 .104.300 718 29% 6% 63 -0.8 .226/.284/.340 .114.295 917 25% 7% 73 -0.1 .224/.286/.334.110.283101823%7%70-0.2
Jamari Baylor
2023 · A
22 40 42→45 50→55 41 .172/.280/.276 .105.337 1018 46% 10% 58 -1.2 .187/.287/.297 .110.339 1116 43% 10% 66 -0.6 .170/.275/.273.103.306121843%10%53-0.5
Luke Williams
2019 · A
22 40→45 37→45 50→60 41 .194/.243/.261 .068.252 615 25% 5% 36 -2.7 .204/.262/.299 .095.274 819 27% 6% 53 -1.5 .227/.288/.355.128.309134229%7%76+0.0