Yeider MindiolaC DSL Mets Orange
Age 20 R/R 6'0" / 200 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.6 · 2032
wRC+60
AVG/OBP/SLG.206 / .273 / .303
PA118
HR2
K%30
BB%7
MLB%0%
BAT: -5.3 runs (wOBA-derived runs vs avg)-5BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.1 runs (Positional adjustment)+2POSREP: +3.3 runs (Replacement-level credit)+3REPTotal WAR: +0.10+0.1WAR
trajectory · 10 yrs
2.7peak
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+2.6$25M+$24M
2033Ext / FA-deal$1.0M+2.6$26M+$25M
2034Ext / FA-deal$1.0M+2.5$25M+$24M
2035Ext / FA-deal$5M+2.4$25M+$20M
2036Ext / FA-deal$7M+2.1$23M+$16M
2037Ext / FA-deal$8M+1.7$19M+$10M
Totals $23M $142M +$120M

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
202519 ROKDSL Mets Orange 142120 23314 16363 103 .192.302.333.635 .142.229 2511 .277 70 -5 +1 +0 +3 +4 0.3
▸ 2026 Season
202620 MLB 118107 23412 9351 20 .215.282.327.609 .112.289 308 .264 60 -5 +0 +0 +2 +3 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11% 202181 39714 17562 41 .215.290.331.621 .116.292 288 .286 77 -5 +0 +0 +4 +6 0.5
202822 MLB 28% 328293 671228 28884 61 .229.305.365.670 .137.293 279 .299 87 -5 +1 +0 +6 +9 1.1
202923 MLB 48% 413368 8515311 371095 82 .231.310.378.687 .147.294 269 .307 93 -3 +1 +0 +7 +12 1.7
203024 MLB 62% 470419 9817314 431225 92 .234.313.389.702 .155.294 269 .312 97 -1 +1 +0 +8 +13 2.2
203125 MLB 80% 502444 10518315 471296 102 .236.318.392.710 .155.295 269 .316 100 -0 +1 +0 +9 +14 2.5
203226 MLB 94% 520459 10919316 501346 102 .237.320.397.717 .159.295 2610 .318 101 +1 +1 +0 +9 +15 2.6
203327 MLB 520459 10919316 501346 102 .237.320.397.717 .159.295 2610 .318 101 +1 +1 +0 +9 +15 2.6
203428 MLB 520458 10618315 511356 91 .231.317.382.699 .151.295 2610 .316 100 +0 +1 -1 +9 +15 2.5
203529 MLB 520458 10618315 511376 81 .231.317.382.699 .151.294 2610 .314 99 -1 +1 -1 +9 +15 2.4
203630 MLB 512451 10418315 501366 71 .231.316.384.699 .153.293 2710 .311 96 -2 +1 -2 +9 +15 2.1
203731 MLB 484429 9616313 471315 50 .224.308.366.674 .142.291 2710 .307 93 -4 +1 -3 +9 +14 1.7
203832 MLB 453401 9015312 441255 20 .224.309.367.675 .142.290 2810 .303 90 -5 +0 -4 +8 +13 1.3
203933 MLB 412365 8013211 401164 10 .219.303.356.659 .137.288 2810 .297 86 -7 +0 -4 +7 +12 0.9
204034 MLB 358316 681129 351044 00 .215.301.348.650 .133.286 2910 .291 81 -8 +0 -5 +6 +10 0.4
204135 MLB 300265 56927 29903 00 .211.296.340.636 .128.284 3010 .283 75 -9 +0 -6 +5 +8 -0.0
204236 MLB 241214 43715 23752 00 .201.285.313.598 .112.281 3110 .274 68 -9 +0 -6 +4 +7 -0.4
204337 MLB 182161 31513 17592 00 .193.278.292.570 .099.277 329 .265 61 -8 +0 -7 +3 +5 -0.7
▸ Career Totals (MLE all levels + projections)
Career 71976368 143824443195 684195181 10118 .226.309.370.678 .144.292 2710 .304 91 -75 +13 -38 +129 +204 23.7
/ 162G 650575 13022418 621767 92 .226.309.372.681 .146.291 2710 .304 91 -7 +1 -3 +12 +18 2.1

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
202519 ROKDSL Mets Orange 142112 28414 24243 103 .250.396.411.806 .161.276 1717 .361 134 +5 +1 +4 1.1

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
Yeider Mindiola (OGILVIE) 20 .206/.273/.303 .097.289 22 30% 7% 60 -0.2
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
Luis Torrens
2016 · A
20 42→49 38→55 49→30 44 .201/.271/.276 .075.277 55 28% 7% 52 -1.6 .207/.270/.291 .084.263 64 22% 7% 55 -1.4 .228/.285/.376.148.28819027%7%82+0.3
Chun-Hsiu Chen
2010 · A
21 43→53 41→50 48→45 40 .209/.263/.306 .097.302 86 32% 7% 55 -1.4 .250/.309/.388 .138.334 124 27% 7% 96 +1.5 .256/.318/.393.137.34712428%8%99+1.3
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
Agustín Ramírez
2022 · A
20 37→45 43→55 44→50 39 .188/.245/.301 .113.275 114 34% 6% 47 -1.9 .223/.286/.366 .143.284 1611 26% 8% 82 +0.5 .230/.293/.405.176.264221622%7%92+1.1
Dilson Herrera
2014 · A
20 43→53 45→50 49→50 40 .213/.264/.339 .126.281 1211 28% 6% 65 -0.7 .248/.297/.383 .135.313 1413 24% 6% 90 +1.0 .257/.307/.397.140.313151322%6%94+1.2
Kyle Higashioka
2010 · A
20 45→43 40→60 49→40 41 .215/.267/.304 .089.290 77 28% 6% 56 -1.3 .191/.240/.293 .102.234 103 23% 5% 43 -2.2 .229/.276/.416.187.27225426%6%88+0.4
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Bo Naylor
2021 · A
21 41→43 44→55 50 43 .203/.259/.325 .122.273 117 29% 7% 59 -1.1 .199/.278/.352 .153.276 1812 33% 9% 75 -0.0 .216/.308/.399.183.269221228%11%97+1.2
Carter Jensen
2023 · A
20 38→47 43→50 46→50 46 .188/.269/.299 .110.273 107 33% 10% 58 -1.2 .198/.288/.331 .133.275 139 30% 11% 74 -0.1 .206/.294/.357.151.275171030%11%81+0.4
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Wilin Rosario
2009 · A
20 42→52 43→60 44→45 37 .209/.253/.314 .105.295 115 32% 5% 53 -1.5 .225/.261/.370 .145.298 174 30% 4% 72 -0.2 .265/.302/.457.192.30126421%5%107+1.6
Francisco Cervelli
2007 · A
21 43→53 39→45 50→45 43 .205/.271/.292 .086.286 67 29% 7% 56 -1.3 .237/.314/.327 .090.313 45 24% 7% 83 +0.6 .252/.365/.369.117.31210420%13%113+1.6
Edmundo Sosa
2016 · A
20 45→50 41→55 49→50 44 .217/.269/.316 .099.260 88 20% 5% 61 -1.0 .228/.265/.309 .081.295 66 24% 4% 56 -1.3 .254/.298/.423.169.30818923%4%99+0.8
Alonzo Harris
2009 · A
20 44→50 45→55 50→60 40 .221/.276/.342 .121.296 1311 29% 6% 71 -0.3 .205/.243/.307 .102.275 1112 29% 4% 46 -2.0 .240/.296/.401.161.286193522%7%92+0.9
Vaughn Grissom
2021 · A
20 44→54 39→50 51→55 44 .214/.271/.302 .088.272 76 23% 6% 58 -1.2 .265/.329/.388 .123.318 1115 19% 7% 105 +2.1 .283/.348/.417.134.334121718%7%116+2.4
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
Jett Williams
2023 · A
19 45 41→55 55 43 .216/.285/.315 .099.290 713 27% 7% 68 -0.5 .204/.313/.323 .119.295 1023 31% 12% 83 +0.6 .202/.308/.336.135.284112630%12%81+0.3
Tucker Mitchell
2022 · A
21 43 39→50 51→45 39 .202/.262/.293 .090.301 67 33% 6% 52 -1.6 .193/.267/.305 .112.296 138 37% 7% 59 -1.1 .178/.253/.291.113.25315734%7%47-0.8