Gleider FiguereoSS Hub City Spartanburgers
Age 22 L/R 6'0" / 165 lbs A+ K +3% Svc 0.0 · Ctrl thru 2035 peak 0.5 · 2030
wRC+†42
AVG/OBP/SLG.178 / .235 / .293
PA320
HR8
K%37
BB%6
MLB%0%
BAT: -21.1 runs (wOBA-derived runs vs avg)-21BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.80-0.8WAR
Scouting · nowfuture
HIT
3030
PWR
4545
SPD
4545
EYE
4240
trajectory · 10 yrs
0.5peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+0.5$2M+$1M
2031Arb-3$0.9M+0.5$2M+$1M
2032Ext / FA-deal$0.9M+0.4$2M+$1.0M
2033Ext / FA-deal$0.6M+0.2$1.0M+$0.4M
2034Ext / FA-deal$5M
2035Ext / FA-deal$0.6M
Totals $9M $6M -$3M
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
202117 ROKDSL Rangers 1 190166 25321 18463 32 .151.246.211.457 .060.198 249 .215 23 -17 -0 +0 +2 +5 -1.0
202218 ROK2 teams 172155 28336 11603 71 .181.249.355.603 .174.239 356 .261 58 -8 +1 +0 +2 +5 -0.1
202319 ADown East Wood Ducks 450411 721107 271846 83 .175.236.253.490 .078.288 416 .220 27 -37 +0 +0 +5 +13 -2.0
202420 A2 teams 482446 7612216 291775 30 .170.229.314.543 .143.235 376 .237 39 -33 +1 +0 +5 +14 -1.4
202521 A+Hub City Spartanburgers 464428 647012 241687 63 .150.207.250.457 .100.206 365 .203 14 -45 +0 +0 +5 +13 -2.8
▸ 2026 Season (actual · ROS · total)
202622 A+Hub City Spartanburgers 6358 10202 4201 10 .172.238.310.548 .138.222 326 .233 37 -5 +0 +0 +1 +2 -0.2
ROS22 MLBTEX 257237 43717 15933 31 .181.239.308.547 .127.255 366 .241 43 -17 +0 +0 +3 +7 -0.7
TOT22 MLBTEX 320295 53919 191134 41 .180.239.308.547 .129.253 356 .240 42 -21 +0 +0 +3 +9 -0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%TEX 524476 9115115 371606 61 .191.258.321.580 .130.251 317 .262 58 -25 +1 +0 +6 +15 -0.3
202824 MLB 26%TEX 560508 10117117 411666 61 .199.267.337.603 .138.255 307 .271 65 -22 +1 +0 +6 +16 0.1
202925 MLB 44%TEX 581525 10718218 441697 71 .204.274.349.623 .145.257 298 .276 70 -20 +1 +0 +6 +16 0.4
203026 MLB 59%TEX 592534 10818218 461717 71 .202.274.345.619 .142.259 298 .279 72 -19 +1 +0 +6 +17 0.5
203127 MLB 76%TEX 594535 10818218 471727 71 .202.275.344.619 .142.259 298 .279 72 -19 +1 +0 +6 +17 0.5
203228 MLB 84%TEX 591531 10718118 481737 61 .202.276.341.617 .139.258 298 .278 71 -19 +1 -1 +6 +17 0.4
203329 MLB 90%TEX 582523 10518118 471727 50 .201.276.342.618 .141.257 308 .276 69 -20 +1 -1 +6 +16 0.2
203430 MLBTEX 572515 10117117 461716 40 .196.270.332.602 .136.255 308 .273 67 -21 +1 -2 +6 +16 -0.0
203531 MLBTEX 558502 9716116 451696 20 .193.268.325.592 .131.254 308 .269 64 -23 +0 -3 +6 +16 -0.3
203632 MLBTEX 540486 9315115 431666 00 .191.265.319.584 .128.252 318 .265 61 -24 +0 -4 +6 +15 -0.7
203733 MLBTEX 510459 8614114 411605 00 .187.261.314.575 .126.250 318 .259 56 -25 +0 -4 +5 +14 -1.0
203834 MLBTEX 464419 7712112 371505 00 .184.258.303.561 .119.248 328 .253 52 -25 +0 -5 +5 +13 -1.2
▸ Career Totals (MLE all levels + projections)
Career 86837856 148923923245 6462727102 8016 .190.260.319.579 .130.252 317 .260 57 -419 +10 -20 +93 +246 -9.2
/ 162G 650588 11218218 482048 61 .190.261.320.581 .129.254 317 .260 57 -31 +1 -1 +7 +18 -0.7

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
202117 ROKDSL Rangers 1 190156 36642 28313 32 .231.358.359.717 .128.272 1615 .325 107 +2 -0 +5 0.7
202218 ADown East Wood Ducks 2624 5000 280 00 .208.269.208.478 .000.312 318 .228 32 -2 +0 +1 -0.1
202218 ROKACL Rangers 146125 35559 15333 71 .280.371.616.987 .336.302 2310 .414 175 +12 +1 +4 1.8
202319 ADown East Wood Ducks 450396 871409 421326 83 .220.304.323.627 .104.299 299 .285 76 -12 +0 +13 0.1
202420 A+Hickory Crawdads 213198 41708 12563 20 .207.263.364.627 .157.246 266 .280 73 -7 +0 +6 -0.0
202420 ADown East Wood Ducks 269230 569412 35742 10 .243.348.474.822 .230.301 2813 .360 134 +10 +0 +8 1.8
202521 A+Hub City Spartanburgers 464408 828018 441327 63 .201.290.353.643 .152.243 289 .289 80 -11 +0 +13 0.3

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
Gleider Figuereo (OGILVIE) 22 30 45 45 40 .178/.235/.293 .115.261 83 37% 6% 42 -1.2
Yeicok Calderon
2014 · A
22 35 46→45 45 33 .180/.227/.303 .123.290 145 42% 6% 40 -2.4 .206/.250/.323 .117.324 126 38% 5% 54 -1.4 .210/.245/.331.121.32412538%4%52-0.6
Marcus Greene Jr.
2017 · A
22 35 46→50 45→40 40 .185/.251/.313 .128.265 155 35% 7% 53 -1.5 .209/.268/.329 .120.279 134 28% 7% 65 -0.7 .211/.271/.321.110.27512227%7%61-0.4
Michael Pérez
2015 · A
22 37 44→50 41→40 40 .184/.249/.302 .119.288 113 38% 8% 50 -1.8 .193/.252/.290 .097.268 84 29% 7% 47 -1.9 .224/.284/.351.127.28614026%7%75-0.0
Aaron Bracho
2023 · A
22 30→38 42→45 44→40 38 .161/.227/.260 .099.254 104 39% 7% 30 -3.1 .194/.258/.324 .130.261 165 31% 7% 59 -1.1 .192/.255/.327.134.24318429%7%56-0.7
Kellin Deglan
2014 · A
22 34 46→50 44→40 37 .182/.245/.307 .125.265 143 36% 6% 50 -1.8 .187/.239/.320 .133.272 163 37% 5% 50 -1.7 .179/.247/.293.114.28013239%6%44-0.6
Luis Toribio
2023 · A
22 36→39 45→50 45→40 38 .178/.247/.297 .119.301 133 43% 8% 47 -1.9 .181/.249/.311 .130.297 163 42% 8% 53 -1.5 .165/.238/.298.133.25917141%8%41-1.3
Agustin Ruiz
2022 · AA
22 36 45→50 42→40 38 .186/.247/.301 .115.273 144 36% 6% 49 -1.8 .187/.257/.327 .140.263 184 35% 7% 60 -1.0 .169/.247/.302.133.23216234%7%49-1.1
Jared Walker
2018 · A
22 38→33 48→55 46→45 33 .189/.245/.325 .136.320 167 44% 6% 53 -1.5 .190/.270/.352 .162.298 205 41% 7% 72 -0.2 .159/.252/.310.152.26119644%8%52-0.9
Rixon Wingrove
2022 · A
22 36→34 45→50 46→40 37 .186/.246/.305 .120.280 134 37% 6% 50 -1.8 .190/.254/.333 .143.298 184 40% 6% 60 -1.0 .183/.253/.339.156.26821339%7%58-0.7
Tristan Gray
2019 · A
23 38→34 47→55 42→40 39 .198/.249/.339 .141.275 146 33% 6% 59 -1.1 .202/.266/.351 .149.261 174 29% 7% 70 -0.3 .186/.246/.354.168.23523332%6%60-0.7
Yusuf Carter
2007 · A
22 37→34 46→50 45→50 35 .194/.240/.317 .122.287 156 37% 5% 49 -1.8 .202/.239/.339 .137.300 1610 37% 5% 54 -1.4 .219/.264/.370.151.296191032%5%70-0.2
Isan Díaz
2018 · A
22 40 47→55 45 43 .203/.272/.335 .133.289 148 34% 8% 68 -0.5 .205/.274/.346 .141.290 168 33% 8% 72 -0.2 .204/.284/.367.164.26321530%9%75+0.0
Rodolfo Castro
2021 · A
22 36→42 48→55 46→50 34 .192/.230/.332 .140.264 166 34% 4% 49 -1.8 .213/.267/.378 .165.281 218 31% 6% 77 +0.1 .207/.276/.361.154.269191130%7%74-0.1
Stryker Trahan
2016 · A
22 29→23 48→50 50→40 32 .164/.210/.299 .135.258 173 43% 5% 32 -3.0 .176/.220/.289 .113.283 125 40% 5% 33 -2.9 .149/.189/.235.085.2327138%5%3-2.1
Alex Lavisky
2013 · A
22 37 44→45 46→30 36 .193/.239/.303 .111.278 124 35% 5% 45 -2.1 .205/.250/.303 .098.273 103 28% 5% 49 -1.8 .197/.242/.277.080.2489124%4%36-0.9
Randy Florentino
2022 · A
22 35 40→50 42→45 40 .174/.240/.257 .083.272 85 37% 8% 33 -2.9 .189/.243/.277 .088.263 96 30% 6% 40 -2.4 .183/.230/.260.077.2388426%5%28-1.0
Steven Lerud
2007 · A
22 37→42 45 43→40 34 .185/.244/.305 .120.297 124 40% 5% 49 -1.8 .198/.260/.304 .106.282 104 32% 6% 55 -1.4 .202/.293/.284.082.2917230%9%62-0.3
Tyler Frost
2019 · A
23 37→33 48→50 48→50 38 .193/.247/.335 .142.274 166 35% 6% 57 -1.2 .187/.242/.303 .116.312 128 42% 5% 46 -2.0 .163/.220/.262.099.29610946%5%25-2.7
Andry Arias
2022 · A
22 38 42→40 46→40 39 .187/.254/.288 .101.287 107 36% 7% 48 -1.9 .193/.256/.289 .096.301 85 36% 7% 49 -1.8 .160/.230/.252.091.2537337%7%25-1.2
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5