Taylor Young2B Tulsa Drillers
Age 27 R/R 5'8" / 170 lbs AA HR +15%K -3% Svc 0.0 · Ctrl thru 2034
wRC+†58
AVG/OBP/SLG.203 / .285 / .274
PA250
HR2
SB14
K%26
BB%9
MLB%2%
BAT: -11.8 runs (wOBA-derived runs vs avg)-12BATRUN: +2.3 runs (SB/CS + UBR baserunning)+2RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.20-0.2WAR
Scouting · nowfuture
HIT
4545
PWR
2525
SPD
6060
EYE
5060
trajectory · 10 yrs
-0.1peak
2027

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
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Extbeyond projection horizon · no WAR estimate
Totals $-6M $-16M -$10M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202223 ARancho Cucamonga Quakes 137115 26311 18364 110 .226.350.296.646 .070.321 2613 .303 90 -2 +2 +0 +0 +4 0.5
202324 A+Great Lakes Loons 545468 971646 5814113 565 .207.312.297.609 .090.278 2611 .278 71 -18 +9 +0 +2 +15 0.9
202425 AATulsa Drillers 547495 872113 3918811 4610 .176.251.240.492 .065.275 347 .226 31 -43 +5 +0 +2 +15 -2.0
202526 AATulsa Drillers 575514 1051702 521207 449 .204.286.249.535 .045.261 219 .247 47 -34 +5 +0 +2 +16 -1.1
▸ 2026 Season
202627 MLBLAD 250222 46912 22664 142 .207.290.284.574 .077.279 269 .261 58 -12 +2 +0 +1 +7 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 9%LAD 267237 49913 24704 142 .207.291.291.582 .084.280 269 .267 62 -11 +2 -1 +1 +8 -0.2
202829 MLB 19%LAD 309274 571113 28814 152 .208.291.288.579 .080.280 269 .269 64 -13 +2 -1 +1 +9 -0.2
202930 MLB 29%LAD 336298 621214 30895 152 .208.291.295.587 .087.279 269 .269 64 -14 +2 -2 +1 +10 -0.3
203031 MLB 40%LAD 340302 631214 30915 132 .209.291.295.586 .086.278 279 .266 62 -15 +2 -3 +1 +10 -0.5
203132 MLB 49%LAD 334297 591113 30914 121 .199.281.273.554 .074.277 279 .262 58 -16 +2 -4 +1 +9 -0.7
203233 MLB 57%LAD 312277 551013 28874 101 .199.282.274.556 .076.275 289 .256 54 -16 +2 -4 +1 +9 -0.9
203334 MLB 75%LAD 273244 48912 24793 80 .197.277.266.543 .070.274 299 .251 50 -15 +2 -5 +1 +8 -1.0
▸ Career Totals (MLE all levels + projections)
Career 42253743 7541401436 383113968 25836 .201.287.275.562 .074.277 279 .259 56 -208 +37 -20 +15 +120 -5.6
/ 162G 650576 1172226 5917510 406 .203.288.280.568 .076.278 279 .259 56 -32 +6 -3 +2 +18 -0.9

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
202223 ARancho Cucamonga Quakes 137106 31412 27254 110 .292.453.406.858 .113.367 1820 .397 162 +10 +2 +4 1.6
202324 A+Great Lakes Loons 545443 1092157 8211213 565 .246.378.363.742 .117.309 2115 .340 118 +11 +9 +15 3.7
202425 AATulsa Drillers 547474 1122824 5913811 4610 .236.334.329.663 .093.323 2511 .306 92 -5 +5 +15 1.6
202526 AATulsa Drillers 575486 1132102 80917 449 .233.349.288.637 .056.281 1614 .302 89 -7 +5 +16 1.5

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
Taylor Young (OGILVIE) 27 45 25 60 60 .203/.285/.274 .071.279 214 26% 9% 58 -0.5
Kenny Wilson
2017 · AAA
27 47→50 39→40 56→60 43 .223/.280/.310 .087.303 527 27% 6% 64 -0.8 .214/.279/.306 .092.310 723 31% 7% 63 -0.9 .199/.267/.293.094.30582235%7%52-0.6
Patrick Biondi
2018 · AA
27 50→42 36→30 55→60 45 .233/.290/.294 .062.308 328 24% 7% 63 -0.8 .217/.283/.274 .057.307 327 28% 8% 56 -1.3 .194/.269/.217.023.28703729%8%33-1.2
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
D.J. Burt
2022 · AA
26 46→51 40 55→65 44 .219/.280/.306 .087.311 730 30% 8% 63 -0.9 .231/.298/.318 .087.311 638 25% 8% 73 -0.1 .227/.300/.298.072.29845623%9%66-0.4
J.D. Orr
2023 · AA
26 49 36→30 61→65 49 .227/.302/.297 .070.305 339 25% 9% 70 -0.3 .209/.292/.279 .070.299 431 28% 9% 62 -0.9 .159/.264/.182.024.24803432%10%24-1.0
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
Magneuris Sierra
2023 · MLB
27 47→57 39→40 59→60 44 .226/.276/.311 .085.283 729 22% 6% 62 -0.9 .221/.272/.316 .095.296 824 27% 6% 62 -0.9 .205/.256/.273.068.29552630%6%41-0.8
Nook Logan
2007 · MLB
27 51 37→40 58→60 48 .242/.296/.322 .080.300 427 20% 7% 72 -0.2 .245/.293/.333 .088.325 428 24% 6% 74 -0.1 .260/.300/.338.078.35103925%5%75-0.0
Coby Smith
2008 · AAA
27 50→47 40 56→60 51 .237/.304/.333 .096.276 730 17% 8% 80 +0.4 .225/.285/.311 .086.263 726 16% 6% 66 -0.6 .220/.276/.298.079.25462816%6%56-1.0
Adam Godwin
2009 · AA
26 50→52 36→30 56→55 46 .237/.287/.301 .065.290 324 19% 6% 63 -0.8 .229/.276/.305 .076.295 420 22% 6% 60 -1.0 .227/.262/.294.067.29822124%4%48-0.9
Jay Gonzalez
2018 · AA
26 50 35→30 58→60 47 .227/.294/.289 .062.334 128 30% 9% 64 -0.8 .235/.292/.303 .068.345 220 30% 8% 66 -0.6 .254/.301/.296.041.37501530%6%66-0.2
Zach Davis
2021 · AA
27 50→53 35→30 58→65 40 .226/.284/.283 .058.332 231 31% 6% 58 -1.2 .216/.280/.280 .064.321 441 31% 7% 56 -1.3 .213/.284/.258.045.31726231%7%50-0.6
Josh Prince
2015 · AAA
27 43→46 40 54→60 48 .208/.280/.300 .092.272 830 26% 8% 62 -0.9 .212/.277/.309 .097.279 924 26% 8% 63 -0.9 .215/.286/.309.094.30091829%9%63-0.3
Wes Rogers
2019 · AA
25 45→51 39→40 59→65 42 .217/.269/.305 .088.291 633 27% 6% 57 -1.2 .198/.256/.280 .082.303 618 34% 7% 46 -2.0 .164/.230/.230.066.27631239%7%20-1.8
Kenny Kelly
2007 · AAA
28 49→54 38→40 54→55 45 .232/.284/.308 .076.301 523 24% 7% 64 -0.8 .231/.286/.335 .104.300 1120 25% 7% 72 -0.2 .232/.288/.343.112.293162226%7%71-0.1
Cade Gotta
2019 · AAA
27 49→51 41→45 58→55 44 .234/.282/.337 .103.295 731 23% 6% 71 -0.3 .238/.304/.352 .114.309 923 24% 8% 85 +0.7 .249/.328/.367.118.32092123%10%99+0.6
Nick Dalesandro
2023 · AA
26 47 36→30 62→65 41 .218/.274/.284 .065.323 439 32% 7% 54 -1.4 .207/.265/.277 .070.308 431 32% 7% 49 -1.8 .172/.238/.213.041.26713833%7%19-1.5
Tanner Kirwer
2023 · AA
27 43 43→40 59→60 45 .210/.290/.313 .104.303 1232 33% 9% 70 -0.3 .205/.276/.302 .097.296 1029 32% 7% 61 -1.0 .172/.244/.246.074.24494632%7%30-1.1
Eric Reed
2008 · MLB
27 49→51 37→40 62→60 38 .233/.268/.315 .082.310 333 26% 4% 59 -1.1 .222/.265/.304 .082.288 523 23% 5% 55 -1.4 .202/.247/.221.019.25901921%5%22-0.9
Daniel Hinojosa
2011 · AAA
27 50 39→40 57→55 40 .236/.277/.323 .087.305 523 24% 4% 65 -0.7 .235/.275/.322 .087.312 619 25% 5% 64 -0.8 .206/.260/.280.074.30491133%6%46-0.5