Adrian HoyteOF DSL Tigers 2
Age 20 L/L 5'7" / 145 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 1.6 · 2033
wRC+†65
AVG/OBP/SLG.209 / .278 / .313
PA67
HR1
K%29
BB%8
MLB%0%
BAT: -2.7 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.4 runs (Positional adjustment)-0POSREP: +1.9 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
1.6peak
2032

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+1.5$14M+$13M
2033Ext / FA-deal$1.0M+1.6$16M+$15M
2034Ext / FA-deal$1.0M+1.5$15M+$14M
2035Ext / FA-deal$3M+1.3$14M+$11M
2036Ext / FA-deal$3M+1.0$11M+$7M
2037Ext / FA-deal$3M+0.8$4M+$1.0M
Totals $12M $74M +$62M

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
202317 ROKDSL Tigers 1 5145 9201 5161 13 .200.294.311.605 .111.286 3110 .254 53 -3 -1 +0 -0 +1 -0.3
202418 ROKDSL Tigers 1 7866 13510 7224 50 .197.312.303.615 .106.289 289 .265 61 -3 +1 +0 -0 +2 -0.1
202519 ROKDSL Tigers 2 7059 12200 8162 11 .203.319.237.556 .034.273 2311 .273 67 -3 -0 +0 -0 +2 -0.1
▸ 2026 Season
202620 MLBDET 6761 12201 5191 10 .197.269.279.547 .082.289 287 .270 65 -3 +0 +0 -0 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%DET 155139 30513 13432 31 .216.292.331.623 .115.292 288 .291 81 -3 +0 +0 -1 +4 0.0
202822 MLB 28%DET 291260 611128 26773 61 .235.311.385.696 .150.293 269 .304 91 -3 +1 +0 -2 +8 0.4
202923 MLB 48%DET 386344 8114311 35994 82 .235.313.390.703 .154.293 269 .312 97 -1 +1 +0 -2 +11 0.8
203024 MLB 62%DET 450400 9417313 421145 92 .235.315.390.705 .155.294 259 .317 101 +0 +1 +0 -3 +13 1.2
203125 MLB 80%DET 488432 10318315 471236 102 .238.322.398.720 .160.295 2510 .320 103 +2 +1 +0 -3 +14 1.4
203226 MLB 94%DET 509448 10719316 501286 102 .239.323.402.725 .163.295 2510 .322 105 +3 +1 +0 -3 +14 1.5
203327 MLBDET 518456 10819316 511316 102 .237.322.397.719 .160.295 2510 .322 105 +3 +1 +0 -3 +15 1.6
203428 MLBDET 520457 10819316 521326 101 .236.322.396.718 .160.295 2510 .321 104 +2 +2 -1 -3 +15 1.5
203529 MLBDET 514451 10619315 521326 81 .235.322.390.712 .155.294 2610 .319 102 +1 +1 -1 -3 +15 1.3
203630 MLBDET 505443 10318315 511326 71 .233.320.388.708 .156.292 2610 .316 100 -0 +1 -2 -3 +14 1.0
203731 MLBDET 493434 9917314 501316 50 .228.316.378.694 .150.291 2710 .312 97 -2 +1 -3 -3 +14 0.8
203832 MLBDET 475419 9416313 481285 20 .224.311.370.681 .146.289 2710 .307 93 -4 +0 -4 -3 +13 0.4
203933 MLBDET 446394 8715212 441245 10 .221.307.360.667 .140.288 2810 .302 89 -6 +0 -4 -3 +13 0.0
204034 MLBDET 401354 7613210 401154 00 .215.302.347.649 .133.286 2910 .295 84 -7 +0 -5 -2 +11 -0.3
▸ Career Totals (MLE all levels + projections)
Career 64175662 130323138179 626168278 9719 .230.315.379.694 .149.293 2610 .311 96 -26 +12 -20 -39 +182 11.2
/ 162G 650574 13223418 631708 102 .230.315.378.693 .148.293 2610 .311 96 -3 +1 -2 -4 +18 1.1

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
202317 ROKDSL Tigers 1 5142 11201 8111 13 .262.392.381.773 .119.333 2216 .357 131 +2 -1 +1 0.2
202418 ROKDSL Tigers 1 7861 16610 12154 50 .262.416.393.809 .131.340 1915 .369 140 +4 +1 +2 0.7
202519 ROKDSL Tigers 2 7054 15300 13112 11 .278.435.333.768 .056.341 1619 .361 134 +3 -0 +2 0.5

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
Adrian Hoyte (OGILVIE) 20 .209/.278/.313 .103.289 11 29% 8% 65 -0.1
Oneil Cruz
2019 · A
20 43→51 43→60 47→55 36 .212/.251/.327 .115.305 118 34% 5% 55 -1.4 .228/.271/.373 .145.324 1613 33% 5% 76 +0.1 .241/.304/.442.201.317252231%8%103+1.7
Max Kepler
2013 · A
20 44→54 42→60 53→50 44 .216/.275/.328 .112.278 96 25% 6% 67 -0.5 .222/.279/.348 .126.273 107 22% 7% 73 -0.1 .234/.319/.433.200.24824417%10%108+2.2
Akil Baddoo
2019 · A
20 42→51 43→55 56→55 48 .206/.282/.325 .120.283 913 29% 9% 69 -0.4 .212/.283/.340 .128.306 1116 32% 9% 73 -0.1 .232/.314/.375.143.300152426%11%91+0.8
Gavin Lux
2018 · A
20 46→56 39→50 53→50 46 .218/.277/.306 .088.285 612 25% 7% 61 -1.0 .245/.301/.388 .143.311 1511 25% 7% 93 +1.3 .260/.330/.404.144.32714823%9%106+1.8
Enmanuel Valdez
2019 · A
20 38→46 43→60 50→45 45 .191/.257/.305 .115.247 97 26% 7% 53 -1.5 .193/.246/.310 .117.260 127 30% 6% 50 -1.7 .224/.290/.404.180.26824826%8%90+0.8
Dylan Carlson
2019 · A
20 42→52 43→55 45→50 45 .206/.277/.315 .109.279 106 28% 8% 65 -0.7 .228/.297/.383 .155.293 1610 27% 8% 91 +1.1 .242/.327/.396.154.29614422%9%105+1.6
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
Josh Lowe
2018 · A
20 44→54 40→55 48→60 39 .208/.263/.300 .092.328 811 37% 7% 54 -1.4 .201/.262/.317 .116.307 1217 36% 7% 59 -1.1 .255/.314/.435.180.350203131%8%108+1.9
Riley Greene
2021 · A
20 44→54 44→60 53→50 39 .215/.271/.330 .115.305 119 32% 6% 66 -0.6 .252/.315/.404 .152.357 1510 31% 8% 103 +1.9 .263/.332/.466.203.33825528%9%124+3.1
Will Benson
2018 · A
20 41→51 43→55 52→55 36 .187/.255/.300 .112.333 1011 44% 7% 52 -1.6 .171/.257/.309 .138.261 1711 39% 10% 56 -1.3 .221/.322/.401.180.313182632%12%102+1.4
Jarred Kelenic
2019 · A
20 45→55 43→60 57→50 42 .218/.278/.332 .114.297 912 29% 7% 69 -0.4 .225/.282/.404 .179.286 2213 29% 7% 90 +1.0 .222/.292/.404.182.285201529%8%91+1.0
Jack Suwinski
2018 · A
20 40→41 39→60 44→50 40 .192/.252/.274 .082.280 76 32% 6% 43 -2.2 .192/.252/.298 .106.277 105 33% 7% 50 -1.8 .210/.307/.421.211.281281034%11%102+1.6
Rowdy Tellez
2015 · A
20 45→50 42→60 47→45 45 .221/.276/.321 .100.273 95 22% 6% 65 -0.7 .229/.281/.352 .123.287 135 24% 6% 76 +0.0 .249/.317/.464.215.28629124%8%114+1.6
Iverson Leonardo
2022 · A
20 42 44→50 47→50 42 .203/.279/.327 .124.304 109 34% 8% 69 -0.4 .188/.266/.293 .105.307 98 39% 8% 55 -1.4 .155/.246/.249.095.2618840%9%34-0.7
Parker Meadows
2021 · A
21 40→47 41→55 46→55 42 .197/.253/.288 .091.267 99 29% 7% 47 -1.9 .203/.263/.335 .132.270 1412 29% 7% 64 -0.8 .225/.292/.400.175.278202126%8%91+1.1
Ryan McMahon
2015 · A
20 41→51 46→55 43→45 39 .206/.261/.343 .136.298 136 34% 6% 65 -0.7 .230/.283/.380 .150.335 157 34% 6% 84 +0.6 .230/.314/.391.161.29819628%10%98+1.6
Billy McKinney
2015 · A
20 46→54 42→55 49→45 45 .222/.287/.329 .108.290 96 26% 7% 72 -0.2 .233/.292/.348 .115.298 94 23% 7% 79 +0.3 .215/.276/.393.178.25820225%7%83+0.4
Tirso Ornelas
2019 · A
19 43→53 41→50 50→45 46 .210/.278/.308 .098.289 85 29% 8% 63 -0.9 .192/.256/.270 .078.279 55 30% 8% 43 -2.2 .245/.303/.373.128.30214723%7%87+0.8
Carlos Jimenez
2022 · A
19 39→41 42→50 53→55 44 .191/.270/.293 .102.283 1011 34% 8% 56 -1.3 .199/.283/.318 .119.317 1115 37% 9% 69 -0.4 .216/.296/.349.133.314151933%9%78+0.1
Michaelangel Trinidad
2009 · A
20 41 41→60 44→40 46 .199/.286/.300 .101.282 94 30% 9% 66 -0.6 .218/.276/.379 .161.265 204 26% 6% 82 +0.5 .222/.283/.422.200.24929025%6%98+0.6