Tomo OtosakaOF Tacoma Rainiers
Age 32 L/R 5'11" / 182 lbs AAA HR +3% Svc 0.0 · Ctrl thru 2033
wRC+†75
AVG/OBP/SLG.222 / .276 / .353
PA170
HR4
K%28
BB%6
MLB%10%
BAT: -4.9 runs (wOBA-derived runs vs avg)-5BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.0 runs (Positional adjustment)-1POSREP: +4.8 runs (Replacement-level credit)+5REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
-0.2peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2028
Service   0 yrs (est)
Team Control Through   2033
First FA Year   2034
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2028
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$0.8M
2029Extbeyond projection horizon · no WAR estimate
2030Extbeyond projection horizon · no WAR estimate
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
Totals $-3M $-3M +$0.0M

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
201723 INTLYaquis de Obregon 115100 41320 13182 62 .410.487.480.967 .070.500 1611 +0 -1
201824 INTLYaquis de Obregon 8372 16401 11150 01 .222.325.319.645 .097.268 1813 +0 -0
202228 INTLBravos de Margarita 231192 64640 31173 155 .333.434.406.840 .073.364 713 +0 -1
202329 INTLBravos de Margarita 224196 641040 21321 171 .327.394.418.813 .092.388 149 +0 -1
202531 AAATacoma Rainiers 2323 5000 060 11 .217.217.217.435 .000.294 260 .189 3 -3 -0 +0 -0 +1 -0.2
▸ 2026 Season
202632 MLBSEA 170156 36714 10472 41 .231.286.365.651 .135.291 286 .283 75 -5 +0 +0 -1 +5 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLB 20%SEA 144133 30613 9401 31 .226.280.353.633 .128.290 286 .281 74 -4 +0 -4 -1 +4 -0.5
202834 MLB 33%SEA 117108 24413 7331 20 .222.276.361.637 .139.288 286 .278 71 -4 +0 -5 -1 +3 -0.6
▸ Career Totals (MLE all levels + projections)
Career 1107980 280401311 10220810 4812 .286.359.387.746 .101.351 199 .113 -55 -194 +5 -9 -7 +31 -17.7
/ 162G 650575 1642386 601226 287 .285.359.384.743 .099.351 199 .113 -55 -114 +3 -5 -4 +18 -10.4

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
201723 INTLYaquis de Obregon 115100 41320 13182 62 .410.487.480.967 .070.500 1611 .437 192 +12 +0 +3 1.6
201824 INTLYaquis de Obregon 8372 16401 11150 01 .222.325.319.645 .097.268 1813 .299 87 -1 -0 +2 0.1
202228 INTLBravos de Margarita 231192 64640 31173 155 .333.434.406.840 .073.364 713 .376 146 +12 +1 +7 2.0
202329 INTLBravos de Margarita 224196 641040 21321 171 .327.394.418.813 .092.388 149 .357 131 +8 +3 +6 1.8
202531 AAATacoma Rainiers 2323 6000 050 11 .261.261.261.522 .000.333 220 .236 39 -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
Tomo Otosaka (OGILVIE) 32 .222/.276/.353 .131.291 44 28% 6% 75 -0.0
David Matranga
2009 · AAA
32 41 46→45 49→50 42 .210/.274/.334 .124.276 1410 29% 6% 69 -0.4 .222/.302/.348 .126.301 139 28% 9% 84 +0.6 .209/.311/.324.115.28711528%10%82+0.2
Kristopher Negrón
2018 · MLB
32 44→50 43→45 54→55 40 .217/.271/.330 .113.283 1117 27% 5% 66 -0.6 .228/.288/.354 .126.327 1415 33% 6% 79 +0.3 .226/.291/.350.124.335151435%7%75+0.0
Brett Carroll
2013 · MLB
30 42→45 47→55 47→50 43 .215/.279/.349 .135.272 1511 26% 6% 75 -0.0 .208/.273/.344 .136.278 1611 30% 7% 71 -0.3 .183/.263/.334.151.230221131%8%60-0.5
Jason Smith
2008 · MLB
31 43→35 50→55 50 36 .222/.263/.378 .156.299 1811 32% 5% 75 -0.0 .195/.229/.331 .136.280 169 36% 4% 48 -1.9 .170/.200/.289.119.24514937%3%22-2.4
Baltazar Lopez
2016 · AAA
32 44 47→50 46→45 36 .218/.267/.350 .132.320 156 36% 6% 69 -0.4 .229/.295/.324 .095.356 99 35% 7% 74 -0.1 .252/.344/.290.039.4084435%10%89+0.2
D.J. Peterson
2022 · AAA
30 40→44 48→55 50→40 39 .209/.262/.347 .138.280 1610 31% 5% 67 -0.5 .208/.279/.374 .166.290 216 34% 7% 82 +0.5 .176/.257/.344.168.23623135%8%62-0.5
Seth Bynum
2012 · AAA
31 42→44 49→55 51→50 38 .216/.261/.362 .146.290 1812 32% 5% 70 -0.3 .204/.256/.327 .123.296 1310 34% 6% 59 -1.1 .180/.234/.285.105.26911636%5%35-1.9
Jason Pridie
2015 · AAA
31 46→53 45→50 55 42 .232/.275/.356 .124.290 1318 25% 6% 73 -0.1 .245/.293/.397 .152.300 1819 24% 6% 92 +1.2 .257/.308/.427.170.309211923%6%105+1.9
Justin Leone
2008 · AAA
31 42→41 48→50 52→55 48 .212/.290/.355 .142.274 1614 28% 9% 81 +0.4 .199/.276/.341 .142.265 1616 30% 9% 71 -0.3 .169/.251/.300.130.226151431%10%50-1.0
James Adduci
2017 · MLB
32 45→55 44→45 51→60 46 .222/.281/.339 .118.284 1214 26% 7% 72 -0.2 .243/.287/.367 .124.326 1113 27% 6% 82 +0.5 .245/.283/.365.120.325111227%5%77+0.1
Nick Gorneault
2010 · AAA
31 40→48 47→55 45→50 42 .206/.263/.339 .132.271 1512 29% 7% 65 -0.7 .209/.260/.344 .135.279 1510 29% 6% 65 -0.7 .201/.253/.341.140.25816728%6%57-0.7
Michael Ryan
2009 · AAA
32 43→49 50 43→30 40 .224/.260/.379 .155.272 184 25% 4% 73 -0.1 .234/.275/.373 .139.277 145 21% 5% 78 +0.2 .232/.275/.353.121.27211319%5%74-0.1
Bobby Smith
2006 · AAA
32 48→49 45→50 53→50 44 .239/.288/.361 .122.286 1311 22% 6% 80 +0.4 .230/.273/.361 .131.307 1411 29% 5% 74 -0.1 .214/.247/.354.141.30814735%4%58-0.4
Victor Mendez
2011 · AAA
31 46 44→45 45→50 44 .227/.285/.344 .117.291 1210 26% 7% 75 -0.0 .249/.324/.396 .147.320 1614 25% 10% 105 +2.1 .279/.376/.447.168.346222024%13%136+0.7
Jason Repko
2012 · MLB
31 45→48 46→50 53→55 44 .227/.283/.349 .122.282 1421 25% 6% 76 +0.0 .217/.276/.349 .132.279 1414 27% 6% 73 -0.1 .190/.253/.336.146.240151027%6%56-0.5
Cole Sturgeon
2022 · AAA
30 48→49 46→45 49→50 40 .237/.286/.366 .129.310 1310 27% 5% 81 +0.4 .217/.270/.324 .107.260 1112 21% 6% 63 -0.8 .208/.262/.302.094.247101120%6%51-1.3
Val Majewski
2012 · AAA
31 46→54 47→45 50 46 .233/.292/.369 .136.288 1511 24% 7% 85 +0.7 .222/.274/.323 .101.274 89 21% 6% 64 -0.8 .206/.253/.278.072.2532518%5%40-1.1
Deven Marrero
2022 · MLB
31 40→48 46→45 49→50 41 .204/.260/.327 .122.285 159 33% 7% 60 -1.0 .218/.277/.332 .114.295 1312 29% 7% 69 -0.4 .206/.271/.286.080.26891525%8%49-0.5
Sherman Johnson
2021 · AAA
31 42→50 42→45 46→50 45 .207/.273/.316 .109.286 109 30% 8% 63 -0.9 .202/.289/.315 .113.288 109 31% 9% 70 -0.3 .164/.274/.265.101.2398531%11%50-0.8
Brandon Barnes
2018 · MLB
32 44→52 42→55 49→50 38 .214/.257/.316 .103.296 916 30% 5% 56 -1.3 .220/.271/.366 .146.305 1714 32% 5% 76 +0.0 .214/.270/.377.163.291201433%5%74-0.0