Santiago Espinal3B Los Angeles Dodgers
Age 31 R/R 5'9" / 185 lbs MLB HR +15%K -3% Svc 5.866 · Ctrl thru 2026 peak 0.7 · 2026
wRC+†vL 10481vR 44
AVG/OBP/SLG.255 / .310 / .343
PA349
HR5
SB5
K%13
BB%7
MLB%100%
BAT: -7.5 runs (wOBA-derived runs vs avg)-8BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: +2.5 runs (Defensive runs vs avg)+2FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +9.9 runs (Replacement-level credit)+10REPTotal WAR: +0.70+0.7WAR
Scouting · nowfuture
HIT
5050
PWR
3535
SPD
5050
EYE
4455
trajectory · 10 yrs
0.5peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-3
MLB Debut   2020
Service   5.866 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-3$2M+0.7$3M+$0.3M
Totals $2M $3M +$0.3M

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
201621 ROKGCL Red Sox 9990 17100 6161 10 .189.247.200.447 .011.230 166 .211 20 -9 +0 +0 +0 +3 -0.6
201722 AGreenville Drive 544508 1191532 23873 206 .234.272.287.559 .053.276 164 .246 46 -33 +2 +0 +2 +15 -1.4
201823 A+3 teams 582538 1332758 311047 138 .247.297.361.657 .113.290 185 .290 80 -13 -1 +0 +2 +16 0.5
201924 AA2 teams 521483 1182117 30922 1213 .244.291.335.627 .091.288 186 .274 68 -19 -3 +0 +2 +15 -0.5
202025 MLBToronto Blue Jays 6660 16400 4160 10 .267.312.333.646 .067.356 246 .280 73 -2 +0 +3 +1 +2 0.3
202126 MLBToronto Blue Jays 246222 691202 22301 61 .311.376.392.767 .081.353 129 .349 125 +7 +1 +4 +1 +7 2.0
202227 MLBToronto Blue Jays 491449 1232606 36682 66 .274.331.372.703 .098.310 147 .313 98 -1 -1 +8 +2 +14 2.1
202328 MLB2 teams 269244 631502 19393 31 .258.320.344.664 .086.299 147 .295 84 -5 +0 -2 +1 +8 0.2
202429 MLBCincinnati Reds 391357 861208 24542 111 .241.292.342.634 .101.261 146 .276 69 -14 +2 -2 +1 +11 -0.1
202530 MLBCincinnati Reds 328301 711100 21381 21 .236.288.272.560 .037.268 126 .252 51 -18 +0 +1 +1 +9 -0.6
▸ 2026 Season (actual · ROS · total)
202631 MLBLos Angeles Dodgers 2018 4100 020 00 .222.222.278.500 .056.250 100 .198 10 -2 +0 +1 +0 +1 -0.1
ROS31 MLBLAD 329302 771304 22422 51 .255.310.338.648 .083.284 137 .297 85 -5 +1 +2 +1 +9 0.8
TOT31 MLBLAD 349320 811404 22442 51 .253.305.334.640 .081.281 136 .291 81 -8 +1 +2 +1 +10 0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202732 MLBLAD 330303 771304 22442 41 .254.309.337.646 .083.283 137 .292 82 -7 +0 -2 +1 +9 0.2
202833 MLBLAD 300275 681103 20422 20 .247.303.320.623 .073.281 147 .286 77 -8 +0 -2 +1 +8 -0.0
202934 MLBLAD 257237 58903 17381 10 .245.298.321.619 .076.280 157 .280 72 -8 +0 -3 +1 +7 -0.3
▸ Career Totals (MLE all levels + projections)
Career 47534369 1095190949 29771029 8739 .251.303.332.635 .081.287 156 .283 75 -135 +2 +6 +17 +135 2.5
/ 162G 650597 1502617 41974 125 .251.304.333.637 .082.288 156 .283 75 -18 +0 +1 +2 +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
201621 ROKGCL Red Sox 9986 21200 10111 10 .244.330.267.597 .023.280 1110 .278 71 -3 +0 +3 -0.0
201722 AGreenville Drive 544492 1381844 39663 206 .280.337.358.695 .077.314 127 .310 95 -3 +2 +15 1.5
201823 AANew Hampshire Fisher Cats 164147 42921 14222 21 .286.356.395.750 .109.328 139 .337 116 +3 +0 +5 0.8
201823 A+Dunedin Blue Jays 354321 971849 24455 94 .302.360.467.827 .165.326 137 .363 136 +14 +0 +10 2.5
201823 INTLSurprise Saguaros 6456 14310 770 23 .250.333.339.673 .089.280 1111 .303 90 -1 -1 +2 0.0
201924 AAABuffalo Bisons 112104 33602 7230 22 .317.360.433.793 .115.392 216 .352 127 +3 -0 +3 0.6
201924 AANew Hampshire Fisher Cats 409367 1022115 35502 1011 .278.344.381.726 .104.310 129 .325 107 +3 -2 +12 1.2
202025 MLBToronto Blue Jays 6660 16400 4160 10 .267.312.333.646 .067.356 246 .285 76 -2 +0 +3 +1 +2 0.4
202126 MLBToronto Blue Jays 246222 691312 22301 61 .311.376.405.781 .095.353 129 .352 127 +8 +1 +4 +1 +7 2.1
202227 MLBToronto Blue Jays 491449 1202507 36682 66 .267.324.370.694 .102.300 147 .311 96 -2 -1 +8 +2 +14 2.1
202328 MLBToronto Blue Jays 254230 571402 18363 21 .248.311.335.646 .087.285 147 .291 81 -5 +0 -2 +1 +7 0.1
202328 ADunedin Blue Jays 1513 4100 220 10 .308.400.385.785 .077.364 1313 .360 133 +1 +0 +0 0.1
202429 MLBCincinnati Reds 391357 881209 24542 111 .246.298.356.653 .109.265 146 .289 79 -9 +2 -2 +1 +11 0.3
202530 MLBCincinnati Reds 328301 731200 21381 21 .243.294.282.577 .040.275 126 .262 59 -15 +0 +1 +1 +9 -0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 17761619 42380120 1252429 2810 .261.318.349.667 .088.295 147 .299 87 -26 +2 +12 +7 +50 4.6

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
Santiago Espinal (OGILVIE) 31 50 35 50 55 .255/.310/.343 .088.284 55 13% 7% 85 +0.4
Dixon Machado
2023 · MLB
31 51→55 39→45 48→55 49 .244/.306/.332 .088.287 710 17% 7% 80 +0.4 .222/.302/.313 .091.269 97 20% 9% 75 -0.0 .201/.296/.278.077.2478420%11%62-0.4
Sergio Palafox
2010 · AAA
30 53 39→40 50→45 51 .252/.303/.338 .086.278 610 12% 7% 80 +0.4 .227/.277/.310 .083.263 610 15% 6% 62 -0.9 .227/.269/.281.054.2692716%5%47-0.5
Fernando Rios
2010 · AAA
31 51 38→40 42→50 50 .241/.299/.322 .081.274 610 14% 7% 75 -0.0 .244/.294/.330 .086.280 88 15% 6% 75 -0.0 .261/.307/.323.062.2886311%6%74-0.0
Valentin Gamez
2014 · AAA
31 55 38→40 42→40 49 .260/.306/.342 .082.293 55 13% 6% 82 +0.5 .240/.286/.306 .066.286 44 16% 6% 64 -0.8 .227/.271/.263.036.2791118%5%45-0.6
Miguel Cairo
2005 · MLB
31 53→58 44→45 52→55 47 .257/.313/.380 .123.281 1012 13% 5% 96 +1.5 .246/.298/.341 .095.272 620 11% 6% 79 +0.3 .260/.310/.370.111.287111014%5%89+0.5
Francisco Arias
2009 · AAA
31 50 39→40 47→45 44 .239/.280/.325 .085.264 67 13% 4% 67 -0.5 .256/.303/.359 .103.277 87 11% 4% 86 +0.8 .270/.319/.375.105.289859%4%95+0.7
Luis Ordaz
2007 · AAA
31 52 42→40 50 44 .250/.279/.359 .109.274 98 13% 4% 76 +0.0 .256/.284/.352 .096.298 711 16% 3% 76 +0.0 .269/.295/.355.086.31461016%3%80+0.2
Angel Sanchez
2014 · MLB
30 51→60 38→40 46→45 51 .239/.294/.309 .070.266 67 13% 7% 69 -0.4 .222/.266/.314 .092.261 86 18% 5% 58 -1.2 .217/.246/.288.071.2586018%3%42-0.8
Rubén Tejada
2021 · AAA
31 48→58 41→40 46→50 44 .230/.287/.326 .096.282 88 21% 6% 71 -0.3 .222/.289/.299 .077.289 67 24% 7% 66 -0.6 .207/.283/.237.030.2762223%8%43-1.1
Sergio Guerrero
2006 · AAA
31 52 38→40 47→40 47 .242/.302/.323 .082.264 46 11% 4% 77 +0.1 .262/.314/.354 .092.277 85 9% 4% 89 +1.0 .263/.319/.341.078.277738%5%85+0.4
Daniel Robertson
2017 · MLB
31 52→58 39→45 49→55 49 .248/.297/.341 .092.278 613 13% 6% 78 +0.2 .249/.304/.350 .101.288 815 16% 6% 84 +0.6 .251/.313/.348.097.29591717%7%84+0.4
Cory Sullivan
2011 · MLB
31 51→60 40→45 50 49 .244/.298/.341 .097.285 712 17% 7% 79 +0.3 .218/.288/.308 .090.266 710 19% 9% 66 -0.6 .173/.266/.206.033.2150818%11%32-0.6
Erick Almonte
2009 · AAA
31 50→48 43→40 44→45 51 .242/.308/.356 .114.291 107 20% 9% 88 +0.9 .248/.302/.340 .092.316 77 22% 7% 80 +0.4 .257/.308/.335.078.3315523%6%77+0.1
Will Rhymes
2014 · MLB
31 53→61 38→40 45→55 54 .249/.309/.328 .078.270 59 10% 8% 80 +0.4 .230/.281/.326 .096.259 78 14% 6% 68 -0.5 .221/.266/.319.098.2546615%5%58-0.9
Adrián Sanchez
2022 · MLB
31 53→46 43→45 48→50 44 .257/.297/.369 .111.305 1113 19% 5% 86 +0.8 .231/.273/.337 .106.290 810 22% 5% 67 -0.5 .217/.255/.315.098.2794622%5%49-0.8
Eddy Garabito
2008 · MLB
31 50→53 41→40 49→50 50 .240/.292/.339 .098.267 816 14% 6% 76 +0.1 .243/.306/.341 .098.277 916 15% 8% 83 +0.6 .253/.323/.338.085.28681614%9%86+0.6
Royce Huffman
2008 · AAA
31 48→52 41→45 46→45 52 .231/.306/.336 .105.276 87 19% 9% 82 +0.5 .232/.298/.337 .105.293 96 22% 8% 79 +0.3 .235/.300/.337.102.3009523%7%76+0.1
Jermaine Curtis
2018 · AAA
31 52→61 41→40 48→50 51 .250/.331/.346 .095.300 88 19% 8% 95 +1.4 .224/.312/.315 .091.292 79 24% 9% 80 +0.4 .177/.293/.222.046.2394924%10%52-0.4
Darwin Barney
2017 · MLB
31 50→58 41→40 45→50 47 .240/.288/.336 .096.271 97 15% 6% 73 -0.1 .236/.284/.343 .107.274 1110 18% 6% 73 -0.1 .231/.274/.323.092.269101218%5%63-0.5
Joe McEwing
2004 · MLB
31 49→55 42→45 46→50 47 .237/.298/.340 .102.284 910 20% 7% 79 +0.3 .238/.285/.320 .082.289 712 19% 6% 68 -0.5 .251/.284/.329.077.30171619%4%65-0.3