Isiah GilliamOF Algodoneros de Guasave
Age 30 S/R 6'1" / 220 lbs INTL HR +3% Svc 0.0 · Ctrl thru 2036 peak 0.2 · 2026
wRC+†91
AVG/OBP/SLG.208 / .300 / .373
PA170
HR6
SB5
K%36
BB%11
MLB%0%
BAT: -1.7 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 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: +0.20+0.2WAR
trajectory · 10 yrs
0.2peak
2026

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
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
Totals $0.0M $0.0M +$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
201519 ROKGCL Yankees2 153141 33811 9330 22 .234.280.326.606 .092.291 226 .263 59 -7 -0 +0 -1 +4 -0.4
201620 ROKPulaski Yankees 239225 37907 10913 30 .164.210.298.508 .133.234 384 .221 27 -20 +1 +0 -1 +7 -1.4
201721 ACharleston RiverDogs 511467 9924313 321505 95 .212.270.360.630 .148.277 296 .276 69 -18 -0 +0 -3 +14 -0.7
201822 A+Tampa Tarpons 520485 951919 252144 45 .196.241.295.536 .099.321 415 .238 40 -35 -1 +0 -3 +15 -2.5
201923 A+2 teams 458422 6915113 302155 138 .164.228.296.524 .133.287 477 .229 33 -35 -1 +0 -3 +13 -2.5
202125 AA2 teams 439394 8024110 361674 2813 .203.276.345.622 .142.317 388 .275 69 -16 +0 +0 -3 +12 -0.5
202226 AA3 teams 559510 11124518 412275 174 .218.282.390.673 .173.347 417 .292 82 -11 +2 +0 -3 +16 0.3
202327 AA2 teams 523461 10818125 512018 257 .234.321.440.762 .206.349 3810 .326 108 +5 +2 +0 -3 +15 1.9
202428 AAATacoma Rainiers 139117 20713 22570 63 .171.302.325.627 .154.298 4116 .276 69 -5 +0 +0 -1 +4 -0.2
202529 INTLAlgodoneros de Guasave 2520 2000 570 00 .100.280.100.380 .000.154 2820 +0 -0
▸ 2026 Season
202630 MLBSEA 170148 32616 18612 52 .216.310.392.701 .176.304 3611 .304 91 -2 +0 +0 -1 +5 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLB 7%SEA 157138 30615 16552 31 .217.308.384.692 .167.302 3510 .302 90 -2 +0 -3 -1 +4 -0.1
202832 MLB 18%SEA 150132 28515 15522 31 .212.302.379.681 .167.299 3510 .299 87 -2 +0 -4 -1 +4 -0.2
202933 MLB 27%SEA 127112 22404 13441 21 .196.286.339.625 .143.297 3510 .295 84 -2 +0 -4 -1 +4 -0.4
203034 MLB 39%SEA 9282 16303 9321 10 .195.283.341.624 .146.295 3510 .289 79 -2 +0 -5 -1 +3 -0.5
▸ Career Totals (MLE all levels + projections)
Career 42623854 78217217122 332160642 12152 .203.273.351.625 .148.306 388 .273 67 -158 +3 -15 -26 +121 -7.7
/ 162G 650588 12026319 512456 188 .204.274.355.630 .151.307 388 .273 67 -24 +0 -2 -4 +18 -1.2

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
201519 ROKGCL Yankees2 153135 401111 15230 22 .296.367.415.781 .119.342 1510 .345 122 +4 -0 +4 0.8
201620 ROKPulaski Yankees 239218 5214010 17643 30 .239.303.440.743 .202.290 277 .327 109 +2 +1 +7 1.0
201721 ACharleston RiverDogs 511444 12233415 551115 95 .275.361.468.830 .194.329 2211 .363 136 +21 -0 +14 3.6
201822 A+Tampa Tarpons 520474 12322213 361514 45 .259.317.397.714 .137.348 297 .316 100 +0 -1 +15 1.4
201923 AATrenton Thunder 177161 29519 13612 02 .180.250.391.641 .211.217 347 .282 74 -5 -1 +5 -0.1
201923 A+Tampa Tarpons 281249 671508 29933 136 .269.352.426.778 .157.399 3310 .349 126 +8 +0 +8 1.7
202125 AASomerset Patriots 383328 7722111 471164 2610 .235.338.409.746 .174.322 3012 .333 113 +6 +1 +11 1.8
202125 INTLIndios de Mayaguez 5643 13301 12130 23 .302.455.442.896 .140.414 2321 .401 165 +4 -1 +2 0.5
202226 AAALouisville Bats 180158 401036 20581 40 .253.341.468.809 .215.358 3211 .355 130 +6 +1 +5 1.2
202226 AAChattanooga Lookouts 263229 6614112 29844 91 .288.378.515.893 .227.403 3211 .392 158 +17 +1 +7 2.7
202226 INTLTomateros de Culiacan 116100 20812 15240 43 .200.304.360.664 .160.240 2113 .299 87 -2 -0 +3 0.1
202327 AAATacoma Rainiers 10183 21403 15253 32 .253.386.410.796 .157.327 2515 .364 136 +4 -0 +3 0.7
202327 AAArkansas Travelers 422352 9917122 621365 225 .281.396.523.919 .241.391 3215 .402 166 +31 +2 +12 4.7
202428 AAATacoma Rainiers 139108 24914 31440 63 .222.396.435.831 .213.333 3222 .375 145 +7 +0 +4 1.1
202529 INTLAlgodoneros de Guasave 2520 2000 570 00 .100.280.100.380 .000.154 2820 .212 20 -2 +0 +1 -0.2

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
Isiah Gilliam (OGILVIE) 30 .208/.300/.373 .165.304 65 36% 11% 91 +0.3
Justin Maxwell
2014 · MLB
30 44→45 56→60 52→60 44 .229/.300/.425 .196.309 2315 33% 8% 103 +1.9 .213/.278/.349 .136.307 159 34% 7% 74 -0.1 .196/.261/.303.107.28413634%6%51-0.7
Niko Goodrum
2022 · MLB
30 44→52 48→55 53→55 46 .218/.293/.364 .145.304 1619 32% 9% 84 +0.6 .225/.315/.357 .132.323 1416 31% 11% 92 +1.2 .234/.334/.361.127.331131430%13%97+0.6
Brooks Conrad
2011 · MLB
31 41→44 52→55 52→50 43 .217/.277/.384 .167.274 2011 29% 7% 83 +0.6 .230/.298/.415 .185.307 239 31% 8% 100 +1.7 .210/.276/.403.193.27426233%8%85+0.3
Victor Diaz
2011 · AAA
29 46→51 52→60 46→50 40 .231/.292/.395 .164.326 2011 34% 7% 92 +1.2 .235/.306/.442 .207.336 299 37% 8% 111 +2.5 .219/.298/.442.222.32334541%9%107+1.0
Jarrett Parker
2019 · MLB
30 45→50 52→55 45→50 45 .228/.302/.393 .165.309 206 32% 9% 95 +1.4 .212/.300/.380 .168.314 216 36% 11% 92 +1.2 .182/.286/.352.170.26623238%12%79+0.2
George Lombard
2006 · MLB
30 45→44 50 56→55 42 .226/.291/.387 .161.312 1718 32% 7% 89 +1.0 .226/.295/.376 .150.313 1725 31% 8% 89 +0.9 .222/.298/.356.134.300163730%8%82+0.2
Kirk Nieuwenhuis
2018 · MLB
30 42→50 49→55 44→50 49 .209/.300/.358 .149.303 1611 34% 11% 86 +0.8 .203/.285/.319 .116.322 1010 36% 10% 69 -0.4 .182/.265/.284.103.3026838%9%50-0.9
Mike Wilson
2013 · MLB
30 45→54 52→60 47→50 46 .231/.301/.398 .168.295 219 29% 8% 97 +1.5 .224/.284/.376 .152.311 197 33% 7% 84 +0.6 .213/.273/.361.148.30020435%6%72-0.1
Valentino Pascucci
2009 · AAA
30 44→45 55 47→45 49 .229/.315/.413 .184.294 247 30% 10% 106 +2.2 .218/.299/.387 .169.291 214 31% 10% 93 +1.3 .204/.294/.373.169.28922035%11%84+0.4
Joe Borchard
2009 · MLB
30 46→44 52→55 45 49 .238/.309/.400 .162.294 209 26% 9% 100 +1.7 .215/.266/.367 .152.285 175 30% 6% 73 -0.1 .203/.252/.353.150.27116131%5%61-0.7
Michael A. Taylor
2021 · MLB
30 44→51 49→55 53→60 42 .219/.276/.370 .151.301 1522 32% 7% 78 +0.2 .235/.292/.372 .137.306 1713 28% 7% 85 +0.7 .236/.294/.379.143.303191428%7%86+0.6
Daniel Palka
2022 · MLB
30 40→43 53→60 49→50 48 .215/.286/.385 .171.264 226 28% 9% 87 +0.8 .225/.283/.396 .171.284 235 29% 7% 89 +0.9 .215/.272/.382.166.26924229%7%75+0.0
Derek Fisher
2022 · MLB
28 44→51 51→55 49→55 48 .224/.302/.384 .160.303 1912 31% 10% 93 +1.3 .205/.268/.335 .130.306 148 35% 7% 66 -0.6 .124/.199/.239.115.19014042%8%10-0.8
Jorge Bonifacio
2023 · MLB
30 40→50 49→55 48→45 43 .207/.275/.354 .147.277 179 31% 7% 74 -0.1 .218/.284/.387 .169.273 228 28% 8% 87 +0.8 .213/.283/.401.188.24726526%8%89+0.8
Anthony Recker
2014 · MLB
30 43→48 51→50 43→45 47 .220/.295/.378 .157.286 197 29% 9% 89 +0.9 .211/.280/.369 .158.286 206 32% 8% 80 +0.4 .200/.280/.351.151.26619331%9%71-0.1
Corey Brown
2015 · MLB
29 41→49 53→60 50 38 .216/.266/.389 .174.296 2213 34% 6% 79 +0.3 .206/.256/.375 .169.295 2214 36% 6% 72 -0.2 .208/.265/.393.186.292241737%7%78+0.2
Sam Hilliard
2023 · MLB
29 36→46 54→55 54→55 45 .200/.277/.375 .175.266 2314 34% 9% 81 +0.4 .214/.286/.391 .177.301 2117 34% 9% 89 +0.9 .206/.276/.397.191.290212035%9%83+0.4
Andrew Brown
2014 · MLB
29 45→46 54→55 45→40 44 .234/.297/.416 .182.305 225 30% 8% 99 +1.7 .231/.295/.407 .176.289 215 27% 8% 97 +1.5 .218/.287/.392.174.26423227%8%86+0.6
Tyler Greene
2014 · MLB
30 46→51 48→50 56→55 41 .229/.286/.372 .143.313 1522 31% 6% 83 +0.6 .228/.273/.343 .115.336 1111 34% 5% 69 -0.4 .232/.275/.336.104.3539735%4%66-0.6
Chris Owings
2022 · MLB
30 45→55 50 49→55 42 .225/.288/.385 .160.317 1815 34% 8% 88 +0.9 .201/.272/.337 .136.283 1611 33% 8% 69 -0.4 .185/.264/.309.124.264151134%9%55-0.7