Alerick SoularieOF Richmond Flying Squirrels
Age 27 R/R 6'0" / 175 lbs AA BB -3% Svc 0.0 · Ctrl thru 2034
wRC+†74
AVG/OBP/SLG.204 / .284 / .334
PA143
HR4
SB5
K%31
BB%9
MLB%2%
BAT: -4.2 runs (wOBA-derived runs vs avg)-4BATRUN: +0.7 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +4.1 runs (Replacement-level credit)+4REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
-0.1peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Extbeyond projection horizon · no WAR estimate
Totals $-5M $-15M -$9M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202122 A2 teams 150132 23312 16522 91 .174.273.258.531 .083.269 3511 .246 46 -9 +1 +0 -1 +4 -0.4
202223 A+Cedar Rapids Kernels 389343 621228 351357 185 .181.270.297.568 .117.265 359 .256 54 -20 +2 +0 -2 +11 -1.0
202324 AAWichita Wind Surge 270235 43418 29965 225 .183.286.311.597 .128.265 3611 .266 62 -12 +2 +0 -2 +8 -0.3
202425 AARichmond Flying Squirrels 160135 25503 12504 156 .185.272.289.560 .104.253 318 .241 43 -10 +1 +0 -1 +5 -0.6
▸ 2026 Season
202627 MLBSF 143128 27514 12442 51 .211.289.359.648 .148.281 318 .282 74 -4 +1 +0 -1 +4 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 9%SF 209186 39715 18643 72 .210.290.339.629 .129.282 319 .285 76 -6 +1 -1 -1 +6 -0.1
202829 MLB 19%SF 264235 50917 23804 82 .213.294.349.643 .136.282 309 .286 77 -7 +1 -1 -2 +7 -0.2
202930 MLB 29%SF 301268 561018 26914 92 .209.289.343.632 .134.281 309 .285 76 -8 +1 -2 -2 +9 -0.3
203031 MLB 40%SF 304271 551017 26924 72 .203.282.325.607 .122.280 309 .282 74 -9 +1 -3 -2 +9 -0.4
203132 MLB 49%SF 296264 541017 26914 61 .205.286.330.615 .125.278 319 .277 70 -10 +1 -4 -2 +8 -0.6
203233 MLB 57%SF 273243 49916 24864 41 .202.284.321.605 .119.277 329 .272 66 -10 +0 -4 -2 +8 -0.8
203334 MLB 68%SF 235210 41715 20763 30 .195.275.310.584 .114.275 329 .265 61 -10 +1 -5 -1 +7 -1.0
▸ Career Totals (MLE all levels + projections)
Career 29942650 524911270 26795746 11328 .198.282.320.603 .123.276 329 .271 66 -116 +11 -20 -18 +85 -5.8
/ 162G 650575 11420315 5820810 256 .198.283.322.604 .123.278 329 .271 66 -25 +3 -4 -4 +18 -1.3

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
202122 AFort Myers Mighty Mussels 125105 23312 19311 91 .219.344.324.668 .105.292 2515 .312 97 -0 +1 +4 0.5
202122 ROKFCL Twins 2520 7101 461 00 .350.480.5501.030 .200.462 2416 .457 208 +3 +0 +1 0.4
202223 A+Cedar Rapids Kernels 389330 7515310 481067 185 .227.338.382.719 .155.298 2712 .324 106 +3 +2 +11 1.6
202324 AAWichita Wind Surge 270225 525111 39755 225 .231.357.409.766 .178.293 2814 .346 123 +7 +2 +8 1.7
202425 AARichmond Flying Squirrels 160130 25603 17404 156 .192.305.308.612 .115.239 2511 .270 65 -6 +1 +5 -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
Alerick Soularie (OGILVIE) 27 .204/.284/.334 .130.281 45 31% 9% 74 -0.0
Adam Engel
2019 · MLB
27 42→48 43→50 54→60 39 .208/.265/.327 .119.287 1021 30% 6% 62 -0.9 .230/.286/.372 .142.305 1417 28% 5% 83 +0.6 .227/.287/.366.138.305132328%5%79+0.1
Kyle Datres
2023 · AA
27 42→43 50 55 44 .216/.293/.366 .150.294 1823 32% 8% 85 +0.7 .212/.292/.349 .137.297 1721 32% 9% 80 +0.4 .195/.282/.319.124.275162133%9%66-0.3
Jimmy Herron
2023 · AAA
27 43→45 48→45 53→55 48 .221/.296/.363 .142.269 1616 24% 8% 85 +0.7 .221/.293/.348 .127.275 1424 24% 8% 80 +0.4 .214/.285/.324.111.265132824%8%68-0.3
Narciso Crook
2022 · AAA
27 43 49→55 50 39 .215/.277/.364 .150.307 1612 34% 6% 78 +0.2 .214/.286/.373 .159.324 1915 38% 7% 84 +0.6 .200/.278/.359.159.312191739%7%73-0.1
Ryan Cordell
2019 · MLB
27 39→41 47→55 51→50 38 .205/.249/.340 .135.267 1514 29% 5% 59 -1.1 .206/.261/.337 .131.289 1512 33% 6% 63 -0.8 .187/.253/.332.146.269201237%7%57-0.5
Michael Helman
2023 · AAA
27 41 51→55 57→55 46 .215/.276/.371 .155.258 1925 25% 7% 79 +0.3 .221/.279/.380 .159.267 1922 24% 6% 82 +0.5 .213/.271/.381.168.251202024%6%76+0.0
Jim Haley
2022 · AA
27 38→43 49→50 53→55 34 .201/.250/.347 .145.290 1820 37% 4% 62 -0.9 .202/.257/.342 .140.285 1720 34% 5% 63 -0.8 .202/.259/.333.130.275152231%5%58-0.8
Brandon Barnes
2013 · MLB
27 43→52 48→55 50 40 .219/.268/.366 .146.287 1514 29% 6% 74 -0.1 .234/.281/.355 .121.317 1114 29% 5% 76 +0.1 .214/.266/.361.147.296171533%5%69-0.4
Michael Gigliotti
2023 · AA
27 42 46→40 57→55 48 .206/.304/.336 .130.293 1425 32% 10% 82 +0.5 .214/.310/.321 .107.288 917 26% 10% 81 +0.4 .206/.316/.294.088.27051323%12%76+0.0
Reid Gorecki
2008 · AAA
27 40→50 45→50 49→55 45 .205/.269/.331 .126.266 1319 28% 8% 66 -0.6 .237/.293/.365 .128.299 1319 24% 7% 84 +0.6 .240/.295/.363.123.301112123%6%80+0.3
Blake Tekotte
2014 · MLB
27 40→46 46→50 50→55 41 .204/.262/.336 .132.274 1320 30% 6% 63 -0.8 .203/.261/.323 .120.276 1110 29% 6% 60 -1.0 .193/.255/.309.116.26212430%6%50-0.7
Kevin Smith
2023 · MLB
27 40→45 49→55 54→50 39 .206/.260/.354 .148.283 1714 33% 6% 68 -0.5 .211/.255/.351 .140.304 1816 35% 5% 65 -0.7 .205/.244/.339.134.297191937%4%55-0.7
Luis Aviles Jr.
2022 · AA
27 40→42 46→50 53→55 37 .206/.252/.330 .125.286 1422 33% 5% 57 -1.2 .209/.251/.359 .150.287 1719 32% 4% 65 -0.7 .200/.242/.346.146.275162333%4%55-0.9
Taylor Featherston
2017 · MLB
27 41→45 47→50 49→50 38 .209/.253/.343 .135.265 1411 27% 4% 62 -0.9 .190/.246/.310 .120.287 1311 37% 5% 50 -1.7 .164/.225/.278.114.280141044%5%31-1.9
Weston Wilson
2023 · AAA
28 41→43 49→55 51→55 40 .213/.267/.358 .145.288 1817 32% 6% 72 -0.2 .219/.288/.394 .175.287 2323 31% 9% 91 +1.1 .215/.294/.402.188.269262530%10%92+0.8
Cody Strait
2010 · AA
27 44→47 45→55 51→55 40 .220/.263/.351 .131.286 1216 28% 5% 67 -0.5 .214/.262/.316 .102.287 716 27% 6% 58 -1.2 .168/.218/.244.076.23502427%4%17-1.0
Travis Witherspoon
2015 · AA
26 41→47 46→45 53→55 43 .209/.268/.337 .128.278 1423 30% 7% 66 -0.6 .197/.249/.299 .102.272 1118 30% 6% 48 -1.9 .163/.206/.224.061.22371930%5%7-2.2
Cory Vaughn
2015 · AAA
26 38→40 45 54→50 42 .196/.270/.318 .122.273 1315 32% 7% 63 -0.8 .193/.258/.302 .109.284 1112 34% 7% 53 -1.5 .153/.220/.254.100.2339936%7%22-1.3
Mitch Longo
2022 · AAA
27 46→45 48→45 58→50 41 .230/.279/.372 .142.295 1520 27% 6% 79 +0.3 .224/.271/.370 .146.295 1715 29% 5% 76 +0.1 .186/.224/.319.133.23618330%4%38-0.6
Derrick Mitchell
2014 · AAA
27 41→46 47→50 48→55 41 .211/.259/.346 .135.267 1516 27% 6% 65 -0.7 .209/.272/.338 .129.264 1414 26% 8% 69 -0.4 .179/.268/.285.106.210131221%10%56-0.4