Mason WhiteSS Greenville Drive
Age 22 L/R 5'11" / 178 lbs A+ Svc 0.0 · Ctrl thru 2035 peak 1.6 · 2031
wRC+†82
AVG/OBP/SLG.212 / .277 / .315
PA113
HR2
K%28
BB%7
MLB%0%
BAT: -2.3 runs (wOBA-derived runs vs avg)-2BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +3.2 runs (Replacement-level credit)+3REPTotal WAR: +0.20+0.2WAR
trajectory · 10 yrs
1.6peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+1.5$14M+$13M
2031Arb-3$0.9M+1.6$15M+$14M
2032Ext / FA-deal$0.9M+1.5$14M+$13M
2033Ext / FA-deal$3M+1.4$14M+$11M
2034Ext / FA-deal$4M+1.2$12M+$8M
2035Ext / FA-deal$4M+0.9$5M+$0.2M
Totals $14M $73M +$59M

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
202521 A+2 teams 113106 18300 7370 31 .170.221.198.419 .028.261 336 .201 12 -11 +0 +0 +1 +3 -0.7
▸ 2026 Season (actual · ROS · total)
202622 A+Greenville Drive 6055 12303 3151 00 .218.271.436.708 .218.237 255 .309 95 -0 +0 +0 +1 +2 0.2
ROS22 MLBBOS 5348 10201 4151 10 .208.283.312.596 .104.282 288 .273 67 -2 +0 +0 +1 +2 0.0
TOT22 MLBBOS 113103 22504 7302 10 .214.277.379.655 .165.257 276 .292 82 -2 +0 +0 +1 +3 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%BOS 197177 41815 16472 31 .232.303.373.675 .141.279 248 .295 84 -4 +0 +0 +2 +6 0.4
202824 MLB 26%BOS 305273 631228 26723 51 .231.305.377.682 .147.281 249 .303 90 -3 +1 +0 +3 +9 0.9
202925 MLB 44%BOS 370331 7715210 32874 61 .233.308.381.689 .148.283 249 .309 94 -2 +1 +0 +4 +10 1.3
203026 MLB 59%BOS 412369 8717212 36964 72 .236.311.390.701 .154.284 239 .311 96 -2 +1 +0 +4 +12 1.5
203127 MLB 76%BOS 431385 8917212 381015 72 .231.308.379.688 .148.284 239 .311 96 -2 +1 +0 +5 +12 1.6
203228 MLB 84%BOS 440392 9118212 401045 61 .232.311.380.691 .148.283 249 .310 96 -2 +1 -1 +5 +12 1.5
203329 MLB 90%BOS 438390 9017212 401055 51 .231.310.377.687 .146.282 249 .308 94 -3 +1 -1 +5 +12 1.4
203430 MLBBOS 433387 8917212 391054 40 .230.307.377.684 .147.281 249 .305 92 -4 +1 -2 +5 +12 1.2
203531 MLBBOS 422377 8516211 381044 20 .225.303.366.669 .141.280 259 .301 89 -5 +0 -3 +5 +12 0.9
203632 MLBBOS 406362 8015210 371024 10 .221.300.356.657 .135.278 259 .297 85 -7 +0 -4 +4 +12 0.6
203733 MLBBOS 377336 741429 34984 00 .220.299.354.654 .134.276 269 .291 81 -8 +0 -4 +4 +11 0.2
203834 MLBBOS 334298 641218 30893 00 .215.293.342.635 .128.275 279 .285 76 -9 +0 -5 +4 +9 -0.1
203935 MLBBOS 281251 521016 25783 00 .207.287.327.613 .120.272 289 .277 70 -10 +0 -6 +3 +8 -0.4
▸ Career Totals (MLE all levels + projections)
Career 50124482 101019323128 442124051 5010 .225.302.364.666 .139.281 259 .299 87 -74 +6 -25 +54 +142 10.5
/ 162G 650581 13125317 571617 61 .225.302.367.669 .141.281 259 .299 87 -10 +1 -3 +7 +18 1.4

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
202521 A+Greenville Drive 7767 16400 10170 11 .239.338.299.636 .060.320 2213 .298 86 -1 -0 +2 0.1
202521 ASalem Red Sox 3634 8100 290 20 .235.278.265.542 .029.320 256 .250 50 -2 +0 +1 -0.1

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
Mason White (OGILVIE) 22 .212/.277/.315 .103.290 22 28% 7% 65 -0.1
Bo Naylor
2021 · A
21 41→43 44→55 50 43 .203/.259/.325 .122.273 117 29% 7% 59 -1.1 .199/.278/.352 .153.276 1812 33% 9% 75 -0.0 .216/.308/.399.183.269221228%11%97+1.2
Parker Meadows
2022 · A
22 37→47 41→55 44→55 41 .185/.244/.280 .095.257 99 31% 7% 41 -2.3 .218/.280/.374 .156.279 1716 27% 7% 82 +0.5 .225/.292/.400.175.278202126%8%91+1.1
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Adrian Del Castillo
2023 · A
23 36→45 43→55 52→40 41 .184/.246/.294 .110.257 107 32% 7% 46 -2.0 .210/.280/.351 .141.289 154 31% 8% 76 +0.0 .218/.292/.382.164.29319131%9%86+0.5
Nick Dunn
2019 · A
22 43→53 39→45 47→40 40 .208/.263/.294 .086.271 78 26% 5% 53 -1.5 .205/.250/.287 .082.254 65 21% 5% 45 -2.1 .263/.330/.370.108.2899312%8%97+1.2
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
Josh VanMeter
2017 · AA
22 43→49 42→55 46→50 46 .211/.264/.313 .101.256 108 22% 7% 58 -1.2 .221/.275/.345 .124.275 1212 23% 7% 71 -0.3 .233/.308/.416.182.283191224%9%101+1.3
JJ Bleday
2021 · A
23 44→50 43→55 48→45 42 .218/.269/.329 .110.289 107 28% 6% 64 -0.8 .191/.278/.336 .145.249 166 29% 10% 71 -0.3 .233/.319/.423.190.27122422%11%107+1.9
Jace Jung
2023 · A
22 45→42 39→55 50→40 50 .212/.293/.305 .093.295 68 28% 10% 69 -0.4 .219/.303/.384 .165.289 204 29% 10% 94 +1.3 .212/.303/.382.169.27421329%11%91+1.0
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Kevin Kramer
2016 · A
22 45→54 40→50 54→50 44 .218/.273/.314 .096.278 712 24% 6% 62 -0.9 .243/.299/.351 .108.307 77 22% 6% 82 +0.5 .251/.306/.371.119.3269824%6%88+0.7
Ashton McGee
2021 · A
22 41 39→50 50→40 41 .194/.258/.283 .089.288 55 33% 7% 48 -1.9 .206/.290/.322 .116.364 113 42% 10% 72 -0.2 .191/.284/.307.117.34612244%11%63-0.4
Jason Martin
2017 · A
21 43→50 45→60 48→50 45 .216/.275/.346 .130.280 1213 27% 7% 71 -0.3 .222/.270/.365 .143.297 1512 29% 6% 74 -0.1 .218/.285/.408.191.27126829%8%90+0.7
Ryan Schimpf
2011 · A
23 39 43→60 52→45 39 .192/.257/.314 .121.284 910 34% 6% 56 -1.3 .198/.273/.355 .157.273 177 32% 8% 74 -0.1 .201/.284/.419.218.23528228%9%91+0.9
Dean Anna
2009 · A
22 44→54 40→45 50→45 39 .212/.256/.300 .088.287 77 28% 5% 50 -1.7 .213/.279/.310 .097.269 76 22% 8% 64 -0.8 .245/.318/.360.115.2849416%8%92+1.0
TJ Friedl
2018 · A
22 47→53 41→50 49→55 43 .227/.287/.336 .109.294 711 24% 6% 74 -0.1 .225/.297/.323 .098.293 718 24% 7% 75 -0.0 .246/.337/.381.136.276151816%10%103+1.8
Kyle Kubitza
2013 · A
23 40→50 41→50 49→50 43 .194/.262/.301 .107.286 711 33% 8% 54 -1.4 .214/.288/.342 .128.327 910 34% 9% 76 +0.0 .219/.294/.350.131.33491034%9%79+0.3
Chris Meyers
2022 · A
23 41→46 42→50 51→40 45 .201/.269/.304 .103.264 911 26% 7% 59 -1.1 .222/.280/.362 .140.293 167 29% 6% 79 +0.3 .226/.286/.378.152.29419329%6%82+0.3
Trent Grisham
2019 · AA
22 40→48 40→60 52→55 49 .192/.279/.284 .092.285 816 33% 10% 58 -1.2 .228/.312/.397 .169.286 1914 26% 10% 101 +1.8 .238/.325/.431.194.282221423%10%110+1.9
Drew Robinson
2014 · A
22 43→41 44→55 49→50 45 .206/.285/.324 .118.300 108 33% 9% 71 -0.3 .189/.264/.329 .140.281 1511 36% 9% 63 -0.8 .207/.288/.362.155.320171237%10%78+0.1