José CaballeroSS New York Yankees
Age 29 R/R 5'9" / 190 lbs MLB HR +8%BB +8% Svc 2.988S2 · Ctrl thru 2029 peak 1.5 · 2026
wRC+†vL 10580vR 72
AVG/OBP/SLG.213 / .304 / .329
PA401
HR7
SB42
K%27
BB%10
MLB%100%
BAT: -9.2 runs (wOBA-derived runs vs avg)-9BATRUN: +7.0 runs (SB/CS + UBR baserunning)+7RUNFLD: +2.6 runs (Defensive runs vs avg)+3FLDPOS: +4.3 runs (Positional adjustment)+4POSREP: +11.4 runs (Replacement-level credit)+11REPTotal WAR: +1.50+1.5WAR
Scouting · nowfuture
HIT
4040
PWR
4040
SPD
5555
EYE
5045
trajectory · 10 yrs
1.2peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb SUPER-2
MLB Debut   2023
Service   2.988 yrs.days
Team Control Through   2029
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-1$2M+1.5$12M+$10M
2027Arb-2$3M+1.5$12M+$9M
2028Arb-3$4M+1.2$10M+$6M
2029Arb-4$5M+0.9$4M+$0.0M (cut)
Totals $13M $38M +$25M

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
201720 ROKMissoula Osprey 151138 33621 5396 40 .239.295.333.629 .094.320 263 .270 65 -6 +1 +0 +2 +4 0.1
201821 AKane County Cougars 150133 31513 12214 55 .233.315.353.669 .120.257 148 .304 91 -2 -1 +0 +2 +4 0.3
201922 A+2 teams 381333 711615 299412 4014 .213.299.312.612 .099.276 258 .270 65 -15 +2 +0 +4 +11 0.2
202124 INTL4 teams 149129 27706 15423 156 .209.306.403.709 .194.253 2810 .304 91 -2 +1 +0 +2 +4 0.5
202225 AA2 teams 194150 30503 36418 214 .200.381.293.675 .093.255 2119 .300 88 -3 +3 +0 +2 +5 0.8
202326 MLB2 teams 320262 611016 367118 314 .233.364.347.711 .115.291 2211 .324 106 +2 +5 +7 +1 +9 2.5
202427 MLB2 teams 558510 11227110 311549 5117 .220.276.335.612 .116.291 286 .273 67 -21 +3 +8 +6 +16 1.3
202528 MLBNew York Yankees 370314 782015 47983 4911 .248.352.366.718 .118.343 2613 .312 97 -1 +5 +4 +4 +10 2.3
▸ 2026 Season (actual · ROS · total)
202629 MLBNew York Yankees 8984 21501 4231 90 .250.292.345.637 .095.333 264 .284 76 -2 +2 -1 +1 +3 0.2
ROS29 MLBNYY 312276 621415 28835 336 .225.307.337.644 .112.294 279 .291 81 -7 +4 +4 +3 +9 1.3
TOT29 MLBNYY 401360 831916 321066 426 .231.304.339.643 .108.308 268 .289 80 -9 +6 +3 +4 +11 1.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLBNYY 397353 781717 35886 427 .221.302.334.636 .113.272 229 .288 78 -10 +6 +2 +4 +11 1.4
202831 MLBNYY 382339 731616 34876 386 .215.298.322.620 .106.270 239 .284 75 -11 +5 +2 +4 +11 1.1
202932 MLBNYY 363322 681515 32846 355 .211.294.311.605 .099.269 239 .279 72 -12 +5 +1 +4 +10 0.8
203033 MLBNYY 333296 621414 29805 315 .209.291.304.595 .095.267 249 .273 67 -12 +4 -0 +4 +9 0.5
203134 MLBNYY 289258 531114 25724 264 .205.286.302.588 .097.264 259 .266 62 -12 +4 -2 +3 +8 0.1
203235 MLBNYY 237211 42903 20614 213 .199.281.284.565 .085.262 268 .259 56 -12 +3 -3 +3 +7 -0.2
▸ Career Totals (MLE all levels + projections)
Career 45864024 8811921373 414111599 44297 .219.307.328.635 .109.282 249 .285 76 -122 +50 +22 +47 +130 12.9
/ 162G 650570 12427210 5915814 6314 .218.306.325.631 .107.281 249 .285 76 -17 +7 +3 +7 +18 1.8

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
201720 ROKMissoula Osprey 151135 43832 8276 40 .319.383.467.849 .148.380 185 .374 144 +8 +1 +4 1.3
201821 AKane County Cougars 150129 38724 16164 55 .295.389.473.862 .178.312 1111 .382 150 +9 -1 +4 1.2
201922 A+Modesto Nuts 307254 671713 365510 3212 .264.377.374.751 .110.318 1812 .338 117 +6 +2 +9 1.6
201922 INTLPeoria Javelinas 7463 12201 9212 82 .190.311.270.581 .079.268 2812 .278 71 -2 +1 +2 0.0
202124 AAArkansas Travelers 2820 4101 740 21 .200.407.400.807 .200.188 1425 .359 133 +1 +0 +1 0.2
202124 A+Everett AquaSox 2117 5200 341 81 .294.429.412.840 .118.385 1914 .386 154 +1 +1 +1 0.3
202124 ROKACL Mariners 2925 7202 380 10 .280.357.600.957 .320.312 2810 .398 163 +2 +0 +1 0.3
202124 INTLPanama 7162 13101 7222 44 .210.310.274.584 .065.308 3110 .277 70 -2 -1 +2 -0.1
202225 AAArkansas Travelers 13497 22402 35222 152 .227.440.330.770 .103.274 1626 .371 142 +6 +2 +4 1.3
202225 INTLPeoria Javelinas 6042 10400 12116 62 .238.467.333.800 .095.323 1820 .389 156 +4 +0 +2 0.6
202326 MLBSeattle Mariners 280231 51914 286617 263 .221.348.320.668 .100.285 2410 .311 96 -1 +4 +7 +1 +8 1.9
202326 AAATacoma Rainiers 4027 9102 1241 51 .333.550.5931.143 .259.333 1030 .500 240 +6 +1 +1 0.8
202427 MLBTampa Bay Rays 483441 1002419 271339 4416 .227.285.347.632 .120.301 286 .282 74 -14 +2 +8 +6 +14 1.6
202427 INTLAguilas Cibaenas 7565 11200 8170 71 .169.260.200.460 .031.224 2311 .217 24 -6 +1 +2 -0.3
202528 MLBNew York Yankees 370314 741815 47983 4911 .236.341.347.688 .111.324 2613 .312 97 -1 +5 +4 +4 +10 2.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 1133986 22551318 10229729 11930 .228.319.341.659 .113.304 269 .299 87 -17 +12 +19 +11 +32 5.8

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
José Caballero (OGILVIE) 29 40 40 55 45 .220/.302/.332 .112.273 743 22% 9% 81 +0.3
Todd Donovan
2008 · AAA
29 50→53 40 62→65 46 .238/.295/.330 .091.292 640 20% 6% 75 -0.0 .233/.305/.310 .077.303 436 22% 9% 74 -0.1 .234/.315/.302.068.30834223%10%74-0.1
Tyler Graham
2013 · AAA
29 53→54 37→40 62→65 44 .248/.301/.323 .075.311 343 21% 5% 76 +0.0 .232/.283/.309 .077.292 632 22% 5% 65 -0.7 .240/.280/.291.051.29843820%4%54-1.1
Dairon Blanco
2023 · AAA
30 49→52 48→50 62→70 41 .242/.296/.383 .141.312 1641 27% 6% 90 +1.0 .254/.315/.388 .134.326 1469 25% 6% 99 +1.7 .253/.319/.379.126.320139524%6%96+0.6
Trent Durrington
2006 · MLB
30 51→45 42→40 58→60 47 .245/.306/.350 .104.307 935 22% 7% 85 +0.7 .224/.280/.304 .080.289 632 23% 6% 62 -0.9 .211/.267/.271.060.27533623%6%45-1.2
Jason Bourgeois
2012 · MLB
30 57→58 38→45 63→65 47 .270/.308/.350 .080.300 543 12% 5% 85 +0.7 .249/.291/.326 .077.278 528 12% 5% 72 -0.2 .253/.288/.335.082.28751414%4%69-0.2
Billy Hamilton
2019 · MLB
28 51→60 38→40 66→70 48 .241/.299/.324 .083.306 547 22% 8% 75 -0.0 .222/.283/.308 .086.298 535 25% 8% 64 -0.8 .159/.211/.231.072.25544737%6%12-1.0
Jarrod Dyson
2014 · MLB
29 52→57 37→40 71→70 50 .245/.306/.325 .080.297 454 18% 8% 78 +0.2 .247/.308/.334 .087.298 556 17% 7% 81 +0.4 .246/.315/.340.094.28355314%7%81+0.2
Emilio Bonifácio
2014 · MLB
29 53→61 38→40 61→65 50 .251/.313/.337 .086.317 538 21% 8% 84 +0.6 .248/.296/.328 .080.313 532 21% 6% 74 -0.1 .246/.288/.332.086.30653320%5%68-0.2
Tyler Wade
2023 · MLB
28 44→54 41→45 57→60 50 .214/.290/.309 .095.272 834 23% 9% 69 -0.4 .228/.296/.310 .082.303 636 25% 8% 71 -0.3 .228/.300/.289.061.30944025%8%63-0.4
Esix Snead
2006 · AAA
30 47 37→30 62→65 50 .220/.294/.296 .076.268 442 19% 8% 66 -0.6 .219/.283/.300 .081.266 635 19% 7% 63 -0.9 .204/.265/.243.038.24344616%8%38-0.7
Everth Cabrera
2015 · MLB
28 53→59 38→40 60→65 49 .250/.309/.330 .080.312 539 21% 8% 81 +0.4 .221/.274/.289 .068.277 522 21% 6% 56 -1.3 .193/.245/.222.029.24812221%6%23-1.3
Jon Berti
2019 · MLB
29 50→59 43→45 63→60 45 .242/.303/.360 .118.303 935 22% 6% 86 +0.8 .252/.332/.377 .125.321 1229 23% 9% 103 +1.9 .242/.340/.358.116.311122924%11%100+0.7
Mallex Smith
2021 · MLB
28 51→61 41→45 65 48 .242/.310/.353 .111.305 640 22% 8% 87 +0.8 .218/.292/.322 .104.301 1032 28% 9% 72 -0.2 .200/.285/.294.094.295114033%10%59-0.2
Rajai Davis
2009 · MLB
28 53→63 40→50 66→70 47 .255/.304/.353 .097.295 753 16% 6% 85 +0.7 .270/.317/.378 .108.317 651 16% 6% 96 +1.5 .262/.309/.394.132.306114918%5%94+0.9
Justin Christian
2008 · AAA
28 52→57 41→45 65 45 .250/.293/.356 .106.293 740 17% 5% 80 +0.4 .249/.290/.352 .103.289 734 16% 5% 79 +0.3 .263/.319/.389.125.293103014%6%97+1.3
Jorge Mateo
2023 · MLB
28 45→46 48→50 60→65 40 .225/.273/.375 .150.289 1431 27% 5% 78 +0.2 .223/.271/.364 .141.282 1339 25% 6% 75 -0.0 .218/.263/.346.128.274125425%6%65-0.3
Gilberto Mejia
2013 · AAA
30 50→60 39→45 63→65 50 .237/.295/.331 .094.285 641 19% 8% 75 -0.0 .264/.321/.365 .101.322 640 19% 7% 95 +1.4 .278/.335/.381.103.33854418%6%101+1.5
Delino DeShields
2020 · MLB
27 49→53 40→45 58→65 52 .231/.311/.322 .090.299 732 24% 10% 80 +0.4 .223/.308/.310 .087.304 628 26% 10% 76 +0.1 .205/.307/.268.062.30543130%12%62-0.5
Eric Young Jr.
2014 · MLB
29 55→60 39→45 64→65 52 .260/.326/.358 .097.311 541 17% 8% 95 +1.4 .232/.296/.315 .083.285 440 19% 8% 72 -0.2 .242/.299/.354.111.30392422%6%80+0.2
Darren Ford
2013 · MLB
27 47→53 40→45 57→65 41 .227/.273/.323 .096.302 735 27% 5% 63 -0.8 .223/.272/.305 .082.300 740 26% 6% 59 -1.1 .217/.270/.293.076.28774726%6%51-1.0