Jose LavagninoC DSL NYY Yankees
Age 19 L/R 5'9" / 205 lbs ROK HR +8%BB +8% Svc 0.0 · Ctrl thru 2037 peak 3.0 · 2033
wRC+†54
AVG/OBP/SLG.202 / .266 / .291
PA65
HR1
K%31
BB%7
MLB%0%
BAT: -3.4 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +1.8 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
3.0peak
2033

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+2.9$28M+$27M
2033Ext / FA-deal$1.0M+3.0$30M+$29M
2034Ext / FA-deal$1.0M+3.0$30M+$29M
2035Ext / FA-deal$6M+2.8$29M+$24M
2036Ext / FA-deal$9M+2.7$29M+$20M
2037Ext / FA-deal$12M+2.4$27M+$15M
Totals $29M $172M +$143M

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
202518 ROKDSL NYY Yankees 6759 8101 7180 11 .136.227.203.431 .068.171 2710 .217 24 -6 -0 +0 +1 +2 -0.3
▸ 2026 Season
202619 MLBNYY 6559 12201 5201 10 .203.277.288.565 .085.290 318 .256 54 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%NYY 156140 30513 13452 31 .214.290.329.619 .114.298 298 .285 76 -4 +0 +0 +3 +4 0.3
202821 MLB 28%NYY 298267 601027 26833 61 .225.301.356.656 .131.300 289 .298 86 -5 +1 +0 +5 +8 1.0
202922 MLB 48%NYY 403359 8414311 361105 92 .234.312.382.694 .148.300 279 .307 93 -3 +1 +0 +7 +11 1.7
203023 MLB 65%NYY 475422 9917313 441276 112 .235.316.382.697 .147.300 279 .314 99 -1 +1 +0 +8 +13 2.3
203124 MLB 82%NYY 520459 10918415 501376 122 .237.320.392.713 .155.301 2610 .319 102 +1 +2 +0 +9 +15 2.7
203225 MLBNYY 520458 11018416 511366 122 .240.324.402.726 .162.302 2610 .322 104 +3 +2 +0 +9 +15 2.9
203326 MLBNYY 520457 11018416 521366 122 .241.326.403.729 .162.302 2610 .324 106 +3 +2 +0 +9 +15 3.0
203427 MLBNYY 520456 11018416 531376 122 .241.328.404.732 .162.302 2610 .324 106 +3 +2 +0 +9 +15 3.0
203528 MLBNYY 520456 10918416 531386 112 .239.326.401.728 .162.302 2710 .322 105 +3 +1 -1 +9 +15 2.8
203629 MLBNYY 520456 10818316 531396 101 .237.324.395.719 .158.301 2710 .320 103 +2 +2 -1 +9 +15 2.7
203730 MLBNYY 520456 10517315 531416 91 .230.318.379.698 .149.299 2710 .317 101 +1 +1 -2 +9 +15 2.4
203831 MLBNYY 504441 10217314 521396 60 .231.321.379.699 .147.298 2810 .313 98 -1 +1 -3 +9 +14 2.1
203932 MLBNYY 488430 9716313 501375 40 .226.313.367.681 .142.297 2810 .309 94 -3 +1 -4 +9 +14 1.7
204033 MLBNYY 446393 8814312 451285 20 .224.312.366.678 .142.295 2910 .303 90 -5 +0 -4 +8 +13 1.2
204134 MLBNYY 390344 7512210 391154 10 .218.305.352.657 .134.293 2910 .297 85 -6 +0 -5 +7 +11 0.7
204235 MLBNYY 331292 621028 331013 00 .212.299.342.641 .130.291 3110 .289 79 -8 +0 -6 +6 +9 0.2
204336 MLBNYY 270238 49726 27853 00 .206.295.328.623 .122.288 3110 .280 73 -8 +0 -6 +5 +8 -0.2
204437 MLBNYY 209185 36514 20682 00 .195.280.297.577 .103.285 3310 .271 65 -8 +0 -7 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 77426827 156325551213 762214087 12219 .229.314.375.689 .146.299 2810 .309 95 -46 +17 -38 +138 +219 29.6
/ 162G 650573 13121418 641807 102 .229.313.373.687 .145.299 2810 .309 95 -4 +1 -3 +12 +18 2.5

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
202518 ROKDSL NYY Yankees 6754 13202 12120 11 .241.379.389.768 .148.268 1818 .347 124 +2 -0 +2 0.4

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
Jose Lavagnino (OGILVIE) 19 .202/.266/.291 .089.290 11 31% 7% 54 -0.2
Oneil Cruz
2018 · A
19 41→51 41→60 45→55 35 .200/.243/.293 .093.310 89 37% 5% 43 -2.2 .217/.257/.339 .122.316 1210 34% 5% 62 -0.9 .241/.304/.442.201.317252231%8%103+1.7
Jackson Merrill
2022 · A
19 45→55 36→55 52→50 39 .211/.260/.286 .076.314 39 32% 6% 48 -1.9 .251/.293/.383 .132.306 1312 22% 5% 88 +0.9 .266/.310/.441.174.301191018%6%107+1.9
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
Rio Ruiz
2013 · A
19 43→52 38→50 52→40 41 .204/.260/.295 .091.293 46 30% 7% 51 -1.7 .225/.288/.341 .116.290 96 24% 8% 75 -0.0 .223/.289/.369.145.26517322%8%81+0.2
Michael Harris II
2021 · A
20 44→54 39→55 52→55 41 .212/.263/.298 .086.291 610 28% 6% 53 -1.5 .258/.304/.406 .148.329 1421 25% 5% 99 +1.7 .278/.321/.456.177.328212121%5%116+2.7
Eliezer Álvarez
2014 · A
19 38→48 38→45 49→55 44 .184/.247/.265 .081.244 512 26% 7% 39 -2.5 .230/.280/.335 .105.294 513 22% 6% 70 -0.3 .255/.310/.365.110.34061925%6%88+0.5
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+0.7
Yonathan Perlaza
2018 · A
19 40→50 37→60 48→50 37 .195/.235/.273 .078.279 412 31% 5% 34 -2.8 .213/.257/.285 .072.313 49 31% 6% 46 -2.0 .235/.307/.417.182.303191228%9%100+1.6
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Angel Ortiz
2022 · A
19 42→40 41→50 46→40 44 .207/.262/.297 .091.272 99 27% 7% 53 -1.5 .205/.256/.301 .096.278 87 27% 6% 51 -1.7 .210/.263/.325.115.27610327%6%59-0.6
Jazz Chisholm Jr.
2017 · A
19 42→51 43→60 49→60 34 .206/.248/.311 .105.320 1111 38% 5% 50 -1.7 .204/.255/.341 .137.318 1611 39% 6% 62 -0.9 .248/.322/.446.198.304273627%9%113+2.3
Pedro Severino
2012 · A
19 38→48 39→50 49→45 40 .187/.241/.272 .084.263 65 30% 6% 37 -2.6 .189/.233/.264 .075.239 53 22% 4% 31 -3.0 .246/.315/.384.137.30417324%8%95+0.7
Isan Díaz
2015 · A
19 35→40 39→55 47→45 39 .173/.238/.262 .089.274 68 37% 7% 34 -2.8 .207/.271/.341 .134.298 138 33% 8% 69 -0.4 .204/.284/.367.164.26321530%9%75+0.0
Alex Liddi
2008 · A
19 41→51 41→60 47→50 36 .200/.246/.304 .104.297 87 34% 5% 48 -1.9 .229/.277/.361 .132.323 128 31% 6% 76 +0.1 .241/.296/.424.182.33620533%6%99+1.7
Wilin Rosario
2008 · A
19 39→49 37→60 45 35 .189/.235/.257 .068.297 66 37% 5% 31 -3.0 .219/.259/.344 .125.302 145 31% 5% 64 -0.8 .265/.302/.457.192.30126421%5%107+1.6
Shed Long Jr.
2015 · A
19 40→48 36→50 46→50 40 .191/.237/.254 .062.266 46 29% 5% 30 -3.1 .224/.279/.340 .116.300 119 28% 7% 72 -0.2 .230/.292/.378.148.312161130%7%83+0.4
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
Lane Thomas
2015 · A
19 45→51 37→55 51→55 43 .210/.271/.289 .080.308 39 31% 8% 54 -1.4 .192/.258/.279 .087.311 612 37% 8% 47 -1.9 .248/.312/.427.179.308211325%7%107+2.0
Samad Taylor
2017 · A
19 45→53 38→50 50→65 42 .214/.267/.294 .079.292 59 27% 6% 53 -1.5 .194/.259/.286 .092.272 618 29% 7% 50 -1.8 .236/.312/.377.141.324164630%9%94+0.8
Nomar Mazara
2014 · A
19 37→47 43→55 44→40 38 .186/.243/.298 .111.278 114 36% 6% 46 -2.0 .220/.278/.352 .132.287 153 28% 7% 75 -0.0 .249/.312/.421.172.29021322%8%99+1.5