Josh TateOF Bradenton Marauders
Age 22 R/R 5'10" / 178 lbs A BB +7% Svc 0.0 · Ctrl thru 2036 peak 0.8 · 2030
wRC+†32
AVG/OBP/SLG.213 / .275 / .330
PA82
HR2
K%29
BB%7
MLB%0%
BAT: -6.3 runs (wOBA-derived runs vs avg)-6BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.5 runs (Positional adjustment)-0POSREP: +2.3 runs (Replacement-level credit)+2REPTotal WAR: -0.40-0.4WAR
trajectory · 10 yrs
0.8peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+0.8$4M+$3M
2032Ext / FA-deal$0.9M+0.7$3M+$2M
2033Ext / FA-deal$1.0M+0.6$3M+$2M
2034Ext / FA-deal$0.8M+0.4$2M+$1M
2035Ext / FA-deal$0.4M+0.2$1M+$0.6M
2036Ext / FA-deal$0.6M
Totals $5M $13M +$8M

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 ABradenton Marauders 7064 13220 3181 21 .203.250.297.547 .094.271 264 .223 29 -6 +0 +0 -0 +2 -0.4
▸ 2026 Season (actual · ROS · total)
202622 ABradenton Marauders 7060 11010 7281 31 .183.279.217.496 .033.333 4010 .219 26 -6 +0 +0 -0 +2 -0.4
ROS22 MLBPIT 1211 2000 140 00 .182.250.182.432 .000.295 338 .270 65 -0 +0 +0 -0 +0 -0.0
TOT22 MLBPIT 8271 13010 8321 31 .183.275.211.486 .028.325 3910 .226 32 -6 +0 +0 -0 +2 -0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%PIT 175157 36614 14422 41 .229.301.357.657 .127.280 248 .291 81 -4 +0 +0 -1 +5 0.1
202824 MLB 26%PIT 288258 59927 25683 62 .229.304.360.665 .132.281 249 .301 88 -4 +0 +0 -2 +8 0.3
202925 MLB 43%PIT 358320 7512310 31844 82 .234.310.384.694 .150.283 239 .306 93 -3 +1 +0 -2 +10 0.6
203026 MLB 58%PIT 403360 8413311 36954 92 .233.310.378.688 .144.284 249 .310 95 -2 +1 +0 -2 +11 0.8
203127 MLB 76%PIT 425379 8914312 381005 92 .235.313.383.695 .148.284 249 .310 95 -2 +1 +0 -3 +12 0.8
203228 MLB 84%PIT 436388 9014312 401045 92 .232.312.376.688 .144.284 249 .308 94 -3 +1 -1 -3 +12 0.7
203329 MLB 90%PIT 434386 8914312 401045 81 .231.311.376.687 .145.283 249 .306 93 -4 +1 -1 -3 +12 0.6
203430 MLBPIT 430384 8714311 391054 71 .227.304.365.669 .138.281 249 .303 90 -5 +1 -2 -3 +12 0.4
203531 MLBPIT 420374 8513311 391044 50 .227.307.366.673 .139.280 259 .299 87 -6 +1 -3 -3 +12 0.2
203632 MLBPIT 403359 8012310 371024 30 .223.302.357.659 .134.278 259 .295 84 -7 +1 -4 -2 +11 -0.1
203733 MLBPIT 375334 721129 34974 10 .216.296.341.637 .126.277 269 .289 80 -9 +0 -4 -2 +11 -0.4
203834 MLBPIT 331295 62927 30893 00 .210.290.325.615 .115.275 279 .283 75 -9 +0 -5 -2 +9 -0.7
▸ Career Totals (MLE all levels + projections)
Career 45604069 92314333116 407111648 7114 .227.305.364.668 .137.282 249 .300 88 -64 +9 -20 -27 +129 2.8
/ 162G 650580 13220517 581597 102 .228.305.367.673 .140.283 249 .300 88 -9 +1 -3 -4 +18 0.4

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 ABradenton Marauders 7063 15220 4131 21 .238.294.333.627 .095.288 196 .275 69 -2 +0 +2 -0.0

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
Josh Tate (OGILVIE) 22 .213/.275/.330 .117.290 21 29% 7% 68 -0.1
Sean Bouchard
2019 · A
23 38→44 44→55 48→50 37 .196/.244/.314 .117.275 1213 33% 5% 50 -1.7 .201/.254/.332 .131.296 1310 35% 6% 59 -1.1 .223/.323/.415.191.292211629%11%106+1.0
Rainel Rosario
2011 · A
22 42→51 45→50 46→50 44 .207/.283/.342 .135.296 119 32% 8% 74 -0.1 .210/.267/.310 .100.310 89 33% 7% 59 -1.1 .253/.308/.402.150.28519618%7%96+1.1
Jabari Henry
2013 · A
22 42→41 46→55 49→45 44 .212/.273/.344 .133.277 137 28% 7% 70 -0.3 .209/.287/.363 .154.271 176 28% 9% 82 +0.5 .193/.280/.360.167.25120630%10%75-0.0
Aristides Aquino
2016 · A
22 39→40 46→65 52→50 35 .201/.236/.333 .133.265 1310 30% 3% 51 -1.7 .200/.241/.349 .149.267 178 31% 4% 58 -1.2 .218/.283/.452.234.26735933%7%98+1.0
Christopher Morel
2021 · A
22 43→46 43→60 45→50 37 .214/.254/.324 .110.290 109 29% 4% 56 -1.3 .215/.273/.390 .175.301 2214 35% 7% 82 +0.5 .224/.302/.431.208.280281030%9%102+1.8
Romy Gonzalez
2019 · A
22 39→44 46→55 53→55 34 .196/.247/.327 .132.312 1410 40% 6% 55 -1.4 .198/.251/.317 .119.302 1212 37% 6% 54 -1.4 .258/.302/.412.153.342171628%5%96+0.7
Christian Villanueva
2013 · A
22 44→45 44→55 48→50 39 .218/.271/.331 .113.279 1113 26% 4% 66 -0.6 .211/.259/.351 .140.267 156 27% 5% 66 -0.6 .222/.280/.396.173.25523323%6%86+0.6
Alex Call
2017 · A
22 47→48 42→50 48→50 43 .229/.285/.333 .104.290 912 24% 6% 72 -0.2 .197/.256/.302 .105.271 98 29% 6% 53 -1.5 .221/.325/.367.147.256161720%12%99+1.2
Anderson Gomes
2007 · A
22 41→38 43→45 47→50 39 .205/.252/.313 .108.275 109 29% 5% 53 -1.5 .220/.270/.333 .113.292 117 27% 6% 66 -0.6 .223/.275/.335.112.29012526%6%67-0.2
Edward Olivares
2018 · A
22 42→52 47→55 51→55 39 .214/.266/.352 .138.266 1413 25% 4% 69 -0.4 .223/.265/.352 .129.280 1316 25% 4% 68 -0.5 .259/.316/.431.172.293201619%6%108+1.4
Alonzo Harris
2011 · A
22 39→49 42→55 51→60 36 .196/.232/.300 .103.263 1013 30% 4% 40 -2.4 .219/.261/.311 .092.282 718 24% 5% 56 -1.3 .240/.296/.401.161.286193522%7%92+0.9
Clint Frazier
2016 · A
21 44→46 44→55 47→50 40 .213/.274/.332 .119.314 119 34% 7% 68 -0.5 .227/.285/.378 .151.308 1511 30% 7% 84 +0.6 .237/.308/.417.181.30120627%8%101+0.9
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
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
Kyle Parker
2012 · A
22 42→51 44→55 49→45 36 .206/.263/.316 .110.310 134 36% 5% 59 -1.1 .239/.297/.399 .160.309 204 28% 7% 95 +1.4 .244/.297/.405.161.30320326%6%93+1.1
Michael A. Taylor
2012 · A
21 37→47 44→55 49→60 36 .192/.234/.309 .117.264 1112 32% 4% 44 -2.1 .200/.251/.314 .114.303 1021 35% 6% 53 -1.5 .236/.294/.379.143.303191428%7%86+0.6
Ernesto Mejia
2008 · A
22 44→47 46→60 50→45 34 .219/.258/.347 .129.301 136 32% 4% 64 -0.8 .219/.261/.369 .150.312 153 34% 4% 72 -0.2 .228/.280/.429.201.30327733%5%95+1.3
Felix Reyes
2022 · A
21 42→52 43→50 49→45 38 .205/.269/.316 .111.287 1112 31% 5% 62 -0.9 .203/.244/.316 .113.258 137 26% 4% 50 -1.7 .241/.274/.386.144.27517819%4%81+0.2
Connor Norby
2022 · A
22 48→49 43→55 49→50 45 .228/.300/.340 .113.324 1011 31% 8% 81 +0.4 .238/.298/.405 .167.308 2011 28% 7% 97 +1.5 .239/.300/.413.174.310211129%7%97+1.5