John Taylor3B Frisco RoughRiders
Age 25 L/R 5'11" / 200 lbs AA K +3% Svc 0.0 · Ctrl thru 2034 peak 0.7 · 2028
wRC+†90
AVG/OBP/SLG.219 / .284 / .332
PA213
HR4
K%27
BB%7
MLB%2%
BAT: -2.4 runs (wOBA-derived runs vs avg)-2BATRUN: -0.4 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +6.0 runs (Replacement-level credit)+6REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
4545
PWR
3030
SPD
5050
EYE
4440
trajectory · 10 yrs
0.7peak
2028

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+0.6$3M+$2M
2030Arb-2$0.9M+0.5$2M+$1M
2031Arb-3$0.9M+0.4$2M+$1.0M
2032Ext / FA-deal$0.4M+0.2$1.0M+$0.6M
2033Ext / FA-deal$0.4M
2034Ext / FA-deal$0.6M
Totals $4M $6M +$2M

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
202524 A+Hub City Spartanburgers 223208 421001 11584 73 .202.256.264.520 .062.275 265 .236 39 -15 +0 +0 +1 +6 -0.8
▸ 2026 Season (actual · ROS · total)
202625 AAFrisco RoughRiders 6556 14303 7211 01 .250.344.464.808 .214.333 3211 .335 115 +1 -0 +0 +0 +2 0.3
ROS25 MLBTEX 148134 30613 11402 21 .224.293.351.643 .127.293 277 .289 79 -4 +0 +0 +1 +4 0.1
TOT25 MLBTEX 213190 44916 18613 22 .232.308.384.692 .153.304 298 .303 90 -2 -0 +0 +1 +6 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 11%TEX 281252 571116 24643 52 .226.301.349.650 .123.280 239 .300 88 -4 +0 +0 +1 +8 0.5
202827 MLB 26%TEX 327292 681328 28754 62 .233.309.373.682 .140.281 239 .302 89 -4 +0 +0 +1 +9 0.7
202928 MLB 38%TEX 356318 731428 31824 63 .230.306.362.668 .132.282 239 .302 89 -4 +0 -1 +1 +10 0.6
203029 MLB 47%TEX 366327 751528 32854 63 .229.306.361.667 .131.281 239 .300 88 -5 +0 -1 +1 +10 0.5
203130 MLB 56%TEX 373333 761528 33884 63 .228.305.357.663 .129.280 249 .297 85 -6 +0 -2 +1 +11 0.4
203231 MLB 73%TEX 363324 721418 32874 52 .222.300.346.646 .123.278 249 .293 83 -7 +0 -3 +1 +10 0.2
203332 MLB 91%TEX 348311 681317 30864 52 .219.296.334.630 .116.277 259 .289 79 -8 +0 -4 +1 +10 -0.0
203433 MLBTEX 320286 611216 28813 52 .213.290.325.615 .112.275 259 .283 75 -9 +0 -4 +1 +9 -0.3
203534 MLBTEX 278249 521015 24733 42 .209.286.317.604 .108.273 269 .277 70 -9 +0 -5 +1 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 33833034 6741331468 28481939 5725 .222.297.342.639 .120.280 248 .290 80 -76 +1 -20 +12 +96 1.4
/ 162G 650583 13026313 551577 115 .223.298.345.642 .122.281 248 .290 80 -15 +0 -4 +2 +18 0.3

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
202524 A+Hub City Spartanburgers 223199 511112 20464 73 .256.336.352.688 .095.325 219 .315 99 -0 +0 +6 0.6

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
John Taylor (OGILVIE) 25 45 30 50 40 .219/.284/.332 .114.288 44 27% 7% 72 -0.1
Terrin Vavra
2022 · AA
25 46 44→45 48→50 48 .227/.296/.347 .121.287 1112 24% 8% 81 +0.4 .250/.325/.358 .108.328 810 24% 9% 95 +1.4 .255/.330/.354.099.3347823%9%92+0.5
Nick Baligod
2013 · A
25 48 44→40 49→45 47 .235/.294/.352 .117.288 117 22% 7% 81 +0.4 .239/.292/.329 .090.272 67 14% 7% 73 -0.1 .241/.295/.318.077.2695612%6%68-0.3
Kevin Taylor
2016 · A
25 47→57 42→40 46→40 48 .227/.289/.326 .099.272 107 20% 7% 72 -0.2 .254/.317/.345 .091.302 73 17% 8% 88 +0.9 .258/.316/.333.075.3045216%7%82+0.4
Yoel Yanqui
2021 · A
25 47→53 40 49→50 43 .227/.280/.321 .094.304 712 27% 7% 66 -0.6 .211/.274/.327 .116.308 129 33% 8% 66 -0.6 .194/.262/.307.113.28113634%8%53-0.8
Daniel Schneemann
2022 · AA
25 45→49 43→50 51→50 42 .220/.275/.325 .105.295 1013 28% 6% 66 -0.6 .212/.276/.326 .114.289 1117 29% 8% 67 -0.5 .226/.305/.377.151.297151328%10%89+0.7
Adam Melker
2013 · AA
25 47 39→40 46→50 43 .227/.281/.311 .084.299 79 26% 6% 64 -0.8 .231/.277/.328 .097.296 1011 24% 5% 67 -0.5 .232/.276/.325.092.292101323%4%63-0.5
Shayne Fontana
2022 · AA
25 41 42→45 48→55 46 .197/.276/.303 .106.284 99 32% 9% 61 -1.0 .215/.297/.325 .110.300 1114 30% 9% 76 +0.1 .222/.305/.326.104.296111927%8%77+0.1
Austin Davidson
2018 · A
25 43 42→45 45 45 .210/.273/.315 .104.261 97 23% 7% 63 -0.9 .225/.286/.345 .120.282 106 23% 7% 76 +0.0 .224/.288/.352.128.27511322%7%75-0.0
Casey Stevenson
2013 · A
25 48 42→45 49→45 42 .237/.282/.345 .109.289 107 22% 5% 73 -0.1 .217/.275/.314 .097.266 97 21% 6% 63 -0.8 .197/.263/.278.081.2389520%6%51-0.7
Will Wagner
2023 · AA
25 46→56 42→45 51→45 46 .221/.296/.328 .107.301 109 28% 8% 76 +0.1 .254/.324/.371 .117.316 107 21% 9% 98 +1.6 .272/.343/.386.115.3219617%9%106+1.2
Bijan Rademacher
2016 · AA
25 48 41→45 44→45 49 .232/.302/.339 .107.292 87 22% 8% 81 +0.4 .240/.302/.350 .110.303 105 23% 8% 84 +0.6 .239/.295/.335.096.3019223%7%74-0.0
Damon Sublett
2011 · AA
25 46→49 41→45 48→50 49 .216/.296/.321 .105.309 68 30% 10% 74 -0.1 .223/.297/.329 .106.332 78 32% 10% 76 +0.1 .243/.317/.365.122.3766234%10%90+0.4
Spencer Packard
2023 · A
25 45→51 46→45 50→40 48 .223/.294/.351 .128.265 147 21% 7% 82 +0.5 .238/.313/.366 .128.282 133 20% 8% 93 +1.3 .238/.319/.355.117.28012119%9%90+0.9
Noe Becerra
2011 · AAA
24 43 40→30 45→40 46 .211/.266/.297 .086.263 89 23% 7% 54 -1.4 .237/.284/.320 .083.272 66 15% 6% 67 -0.5 .278/.325/.338.060.3153012%6%89+0.3
Reid Fronk
2011 · A
25 44→48 41→45 47→50 48 .211/.297/.318 .107.282 89 26% 9% 75 -0.0 .199/.281/.288 .089.290 57 30% 9% 59 -1.1 .170/.256/.249.079.2595433%9%37-1.6
Jonathan Wyatt
2009 · A
24 47 41→40 48→50 48 .227/.288/.326 .099.276 912 21% 8% 71 -0.3 .217/.267/.287 .070.276 510 22% 6% 52 -1.6 .208/.251/.248.040.2662822%6%31-2.2
Austin Krum
2011 · AA
25 48→51 38→40 49→50 47 .227/.291/.309 .083.290 512 23% 8% 68 -0.5 .230/.291/.305 .075.299 418 23% 7% 67 -0.5 .235/.295/.300.065.30722323%7%65-0.7
Taylor Grzelakowski
2018 · A
24 43 40→45 50→30 42 .211/.263/.307 .096.286 88 28% 6% 56 -1.3 .215/.275/.312 .097.328 73 34% 7% 62 -0.9 .204/.270/.296.092.3116134%8%54-0.8
Mitchell Tolman
2019 · A
25 44→47 40→45 45→50 48 .211/.286/.301 .089.282 79 26% 8% 65 -0.7 .212/.281/.308 .096.301 89 30% 8% 65 -0.7 .215/.285/.332.118.28411827%7%70-0.2
Greg Cullen
2022 · AA
25 45→42 42→40 42→40 50 .217/.304/.324 .107.280 104 25% 9% 79 +0.3 .236/.327/.346 .110.320 116 27% 11% 94 +1.3 .236/.337/.336.100.32111527%11%93+0.5