Willian BertiOF DSL Tigers 1
Age 20 L/L 6'0" / 160 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 1.8 · 2032
wRC+†76
AVG/OBP/SLG.210 / .292 / .332
PA153
HR3
K%29
BB%9
MLB%0%
BAT: -4.1 runs (wOBA-derived runs vs avg)-4BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +4.3 runs (Replacement-level credit)+4REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
4040
PWR
3535
SPD
4040
EYE
5460
trajectory · 10 yrs
1.8peak
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+1.8$17M+$16M
2033Ext / FA-deal$1.0M+1.8$18M+$17M
2034Ext / FA-deal$1.0M+1.7$17M+$16M
2035Ext / FA-deal$3M+1.5$16M+$13M
2036Ext / FA-deal$4M+1.2$13M+$9M
2037Ext / FA-deal$4M+0.9$5M+$0.5M
Totals $14M $86M +$71M

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 2 184159 25311 19565 22 .157.268.208.475 .050.233 3010 .228 33 -14 -0 +0 -1 +5 -1.0
202418 ROKDSL Tigers 2 10695 14401 8402 10 .147.229.221.450 .074.236 388 .221 27 -9 +0 +0 -1 +3 -0.6
202519 ROKDSL Tigers 1 182157 24511 18615 30 .153.261.217.478 .064.237 3410 .222 28 -15 +1 +0 -1 +5 -1.0
▸ 2026 Season
202620 MLBDET 153136 28513 14442 21 .206.289.324.613 .118.287 299 .285 76 -4 +0 +0 -1 +4 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%DET 232205 45816 22643 41 .220.304.356.660 .137.288 289 .300 88 -3 +0 +0 -1 +7 0.2
202822 MLB 28%DET 350307 7013210 35925 61 .228.317.381.698 .153.289 2610 .310 96 -2 +1 +0 -2 +10 0.7
202923 MLB 48%DET 429376 8616212 441106 71 .229.319.378.697 .149.290 2610 .317 100 +0 +1 +0 -3 +12 1.1
203024 MLB 62%DET 482422 9818314 511226 71 .232.324.389.712 .156.290 2511 .321 104 +2 +1 +0 -3 +14 1.4
203125 MLB 80%DET 512445 10519316 551297 71 .236.329.400.729 .164.291 2511 .324 106 +4 +1 +0 -3 +15 1.6
203226 MLB 94%DET 529459 10820316 581337 71 .235.330.397.727 .161.291 2511 .326 107 +4 +1 +0 -3 +15 1.8
203327 MLBDET 535464 10920317 591357 71 .235.330.401.731 .166.291 2511 .326 108 +5 +1 +0 -3 +15 1.8
203428 MLBDET 534463 10820316 591367 71 .233.329.393.722 .160.291 2511 .325 107 +4 +1 -1 -3 +15 1.7
203529 MLBDET 527456 10720316 591367 60 .235.331.397.728 .162.290 2611 .323 105 +3 +1 -1 -3 +15 1.5
203630 MLBDET 518448 10219215 581357 60 .228.326.379.705 .152.289 2611 .319 103 +2 +1 -2 -3 +15 1.2
203731 MLBDET 505437 9918215 561347 40 .227.324.380.704 .153.287 2711 .316 100 -0 +1 -3 -3 +14 0.9
203832 MLBDET 487424 9417214 541326 40 .222.318.370.688 .149.286 2711 .311 96 -2 +1 -4 -3 +14 0.6
203933 MLBDET 458398 8716212 511276 40 .219.316.359.676 .141.284 2811 .305 92 -4 +1 -4 -3 +13 0.3
204034 MLBDET 412359 7614210 451185 30 .212.308.345.653 .134.282 2911 .299 87 -6 +1 -5 -2 +12 -0.1
204135 MLBDET 358312 651129 391064 30 .208.304.343.647 .135.280 3011 .291 81 -8 +1 -6 -2 +10 -0.5
▸ Career Totals (MLE all levels + projections)
Career 74936522 145026638204 8042010104 9011 .222.317.369.686 .146.287 2711 .309 95 -43 +14 -25 -45 +212 11.5
/ 162G 650566 12623318 701749 81 .223.318.369.688 .147.286 2711 .309 95 -4 +1 -2 -4 +18 1.0

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 2 184148 36522 30385 22 .243.388.345.733 .101.312 2116 .342 120 +4 -0 +5 0.9
202418 ROKDSL Tigers 2 10689 21602 14272 10 .236.352.371.723 .135.311 2513 .329 110 +1 +0 +3 0.4
202519 ROKDSL Tigers 1 182144 39824 31415 30 .271.417.438.854 .167.347 2317 .383 151 +11 +1 +5 1.7

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
Willian Berti (OGILVIE) 20 40 35 40 60 .210/.292/.332 .121.287 32 29% 9% 76 +0.0
Rudy van Heydoorn
2009 · A
20 40 43→45 43→50 47 .193/.290/.298 .105.281 1110 32% 10% 67 -0.5 .182/.264/.285 .103.284 106 37% 8% 52 -1.6 .153/.236/.254.101.23711238%9%32-0.9
Canaan Smith-Njigba
2019 · A
20 45→47 41→45 46→55 51 .216/.301/.314 .097.294 97 28% 10% 74 -0.1 .227/.294/.343 .116.313 1110 29% 8% 79 +0.3 .228/.299/.352.124.336112133%9%80+0.2
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
Jose Quero
2019 · A
20 40 39→40 44→30 45 .196/.260/.275 .079.253 73 25% 7% 47 -1.9 .202/.258/.311 .109.257 106 25% 7% 55 -1.4 .196/.247/.344.148.22515421%6%63-0.2
Nelson B Alvarez
2016 · A
20 44 40 46→40 48 .209/.287/.305 .096.294 75 29% 9% 66 -0.6 .192/.273/.267 .075.264 54 27% 9% 51 -1.7 .153/.246/.204.051.2084426%10%23-1.1
Wilmer Oberto
2013 · A
20 41 42→50 42→45 46 .202/.278/.303 .101.257 97 24% 8% 63 -0.9 .207/.266/.321 .114.276 114 28% 6% 62 -0.9 .196/.243/.315.119.26412030%5%48-0.6
Jose Roman
2011 · A
20 45 40 46→45 45 .215/.275/.308 .093.293 65 28% 8% 61 -1.0 .231/.290/.327 .096.288 76 21% 7% 72 -0.2 .249/.309/.344.095.2928617%8%81+0.2
Gabriel Moncada
2023 · A
21 45→40 42→45 44→40 45 .213/.292/.322 .109.313 95 32% 8% 73 -0.1 .193/.265/.300 .107.294 103 35% 8% 56 -1.3 .170/.241/.264.094.2639136%8%34-1.4
Ricardo Burgos
2007 · A
20 45 41→45 48→40 53 .213/.305/.314 .101.294 76 28% 11% 76 +0.1 .214/.289/.333 .119.306 125 31% 9% 75 -0.0 .191/.262/.333.141.26619234%8%63-0.2
Leopoldo Correa
2012 · A
20 44 41→45 40→30 48 .215/.280/.316 .100.258 83 20% 7% 66 -0.6 .209/.264/.290 .081.271 53 24% 6% 52 -1.6 .185/.234/.237.052.2512126%5%21-0.8
Angel Ortiz
2022 · A
19 42→40 41→50 46→40 44 .207/.262/.297 .091.272 99 27% 7% 53 -1.5 .205/.256/.301 .096.278 87 27% 6% 51 -1.7 .210/.263/.325.115.27610327%6%59-0.6
Chris Parmelee
2008 · A
20 39→49 46→50 45 39 .197/.254/.326 .129.287 146 35% 7% 58 -1.2 .208/.282/.349 .141.290 154 32% 9% 76 +0.0 .250/.315/.397.146.29516120%8%100+1.7
Dario Unda
2016 · A
20 46 40→45 42→45 44 .219/.275/.322 .102.282 65 24% 6% 64 -0.8 .224/.277/.335 .111.281 97 23% 6% 69 -0.4 .224/.275/.343.119.27411722%6%68-0.1
Carlos Rodriguez
2023 · A
20 38 40→45 47→45 45 .183/.271/.272 .089.286 76 36% 10% 52 -1.6 .190/.265/.267 .077.298 56 35% 9% 47 -1.9 .182/.268/.267.085.2746333%10%48-0.6
Shed Long Jr.
2016 · A
20 43→48 42→50 44→50 43 .213/.265/.313 .100.276 106 26% 6% 58 -1.2 .231/.289/.361 .130.314 1311 29% 7% 82 +0.5 .230/.292/.378.148.312161130%7%83+0.4
Brandon Wagner
2017 · A
21 42→46 46→45 43→30 44 .212/.278/.340 .128.289 135 30% 8% 72 -0.2 .206/.280/.313 .107.318 113 36% 8% 66 -0.6 .185/.269/.285.100.29711138%8%52-1.3
Randy Florentino
2021 · A
21 43 41→50 42→45 48 .206/.286/.310 .104.297 86 31% 10% 67 -0.5 .180/.241/.263 .083.269 85 34% 7% 36 -2.7 .183/.230/.260.077.2388426%5%28-1.0
Hoy Park
2016 · A
20 41→50 41→45 47→55 46 .198/.271/.297 .099.267 810 28% 8% 57 -1.2 .198/.270/.283 .085.271 516 27% 8% 53 -1.5 .229/.318/.327.099.30091724%11%81+0.3
Ronarsy Ledesma
2012 · A
19 42 42→45 47→50 43 .205/.277/.309 .104.271 98 27% 6% 64 -0.8 .224/.284/.326 .102.290 511 24% 5% 70 -0.3 .226/.280/.337.111.29161123%4%69-0.2
Nomar Mazara
2015 · AA
20 39→49 46→55 43→40 41 .201/.260/.331 .130.277 143 32% 7% 62 -0.9 .235/.294/.373 .138.289 162 24% 7% 86 +0.8 .249/.312/.421.172.29021322%8%99+1.5