Carlos OviedoC FCL Mets
Age 21 R/R 6'1" / 210 lbs ROK H +5%HR +3% Svc 0.0 · Ctrl thru 2037 peak 1.8 · 2032
wRC+†53
AVG/OBP/SLG.198 / .264 / .292
PA45
HR1
K%32
BB%7
MLB%0%
BAT: -2.4 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +1.3 runs (Replacement-level credit)+1REPTotal WAR: -0.00-0.0WAR
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+1.7$17M+$16M
2034Ext / FA-deal$1.0M+1.5$15M+$14M
2035Ext / FA-deal$2M+1.3$14M+$11M
2036Ext / FA-deal$3M+1.0$11M+$8M
2037Ext / FA-deal$2M+0.6$3M+$0.8M
Totals $11M $77M +$66M

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
202217 ROKDSL Mets 2 148133 24901 11462 01 .180.253.271.524 .090.261 317 .237 40 -10 -0 +0 +3 +4 -0.4
202318 ROKFCL Mets 7969 8302 9321 00 .116.228.246.474 .130.171 4111 .219 26 -7 +0 +0 +1 +2 -0.3
202419 ROK2 teams 5146 3100 3331 00 .065.140.087.227 .022.231 656 .095 -69 -10 +0 +0 +1 +1 -0.8
▸ 2026 Season
202621 MLBNYM 4542 8101 3140 10 .190.244.286.530 .095.288 317 .255 53 -2 +0 +0 +1 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%NYM 113102 22412 9341 20 .216.286.333.619 .118.291 308 .276 69 -4 +0 +0 +2 +3 0.2
202823 MLB 28%NYM 248224 50926 20722 41 .223.293.362.654 .138.292 298 .288 79 -6 +0 +0 +4 +7 0.6
202924 MLB 45%NYM 347310 691229 30994 61 .223.299.361.661 .139.293 299 .296 85 -6 +1 +0 +6 +10 1.1
203025 MLB 60%NYM 407364 8214311 361154 71 .225.302.371.673 .146.294 289 .301 89 -5 +1 +0 +7 +12 1.5
203126 MLB 77%NYM 444397 9116313 391255 81 .229.306.383.689 .154.295 289 .304 91 -5 +1 +0 +8 +13 1.7
203227 MLB 92%NYM 463413 9316313 421315 81 .225.304.373.677 .148.295 289 .304 91 -5 +1 +0 +8 +13 1.8
203328 MLBNYM 470419 9416313 431345 71 .224.304.370.674 .146.294 299 .303 90 -5 +1 -1 +8 +13 1.7
203429 MLBNYM 468417 9316313 431355 61 .223.303.369.673 .146.293 299 .300 88 -6 +1 -1 +8 +13 1.5
203530 MLBNYM 462412 9116312 421355 50 .221.301.362.662 .141.292 299 .297 86 -7 +1 -2 +8 +13 1.3
203631 MLBNYM 437390 8415211 401294 30 .215.295.349.644 .133.290 309 .294 83 -8 +1 -3 +8 +12 1.0
203732 MLBNYM 409365 7713210 371234 10 .211.291.340.630 .129.289 309 .289 79 -10 +0 -4 +7 +12 0.6
203833 MLBNYM 369330 701229 331143 00 .212.290.342.632 .130.287 319 .283 75 -10 +0 -4 +7 +10 0.3
203934 MLBNYM 319284 591027 291013 00 .208.288.331.619 .123.286 329 .277 70 -11 +0 -5 +6 +9 -0.1
204035 MLBNYM 263236 47816 23862 00 .199.276.318.594 .119.283 339 .270 64 -11 +0 -6 +5 +7 -0.4
▸ Career Totals (MLE all levels + projections)
Career 55424953 106519132139 492165856 588 .215.293.351.644 .136.291 309 .289 79 -128 +8 -25 +99 +157 11.3
/ 162G 650581 12422416 581947 71 .213.293.348.641 .134.289 309 .289 79 -15 +1 -3 +12 +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
202217 ROKDSL Mets 2 148127 341302 17322 01 .268.363.417.780 .150.337 2211 .347 124 +4 -0 +4 0.8
202318 ROKFCL Mets 7963 12403 15201 00 .190.354.397.751 .206.225 2519 .343 121 +2 +0 +2 0.4
202419 A+Brooklyn Cyclones 1918 0000 1100 00 .000.053.000.053 .000.000 535 .037 -114 -5 +0 +1 -0.4
202419 ROKFCL Mets 3226 4100 4131 00 .154.290.192.483 .038.308 4112 .235 38 -2 +0 +1 -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
Carlos Oviedo (OGILVIE) 21 .198/.264/.292 .093.288 11 32% 7% 53 -0.1
Brandon Dixon
2014 · A
22 37→44 38→60 49→55 34 .181/.219/.258 .077.272 59 35% 4% 24 -3.6 .204/.234/.327 .123.291 1412 34% 3% 49 -1.8 .240/.284/.448.208.318271233%5%101+1.0
Jerar Encarnacion
2019 · A
21 37→45 40→55 46→45 31 .178/.222/.266 .088.301 85 42% 5% 27 -3.3 .202/.249/.313 .111.311 125 37% 5% 52 -1.6 .223/.287/.396.173.32726638%8%87+0.6
Jose Siri
2016 · A
21 39→49 40→60 56→55 31 .190/.225/.289 .099.299 615 38% 4% 34 -2.8 .199/.230/.326 .127.303 1219 37% 3% 46 -2.0 .227/.276/.431.204.317272536%5%92+0.8
Michael A. Taylor
2011 · A
20 38→48 37→55 46→60 41 .186/.242/.263 .077.262 45 29% 6% 36 -2.7 .191/.237/.300 .109.280 916 34% 5% 43 -2.2 .236/.294/.379.143.303191428%7%86+0.6
Edgar Corcino
2012 · A
20 35→45 39→45 45 37 .173/.232/.256 .082.272 86 38% 6% 30 -3.1 .196/.250/.291 .095.293 96 34% 6% 46 -2.0 .234/.279/.349.116.29611424%5%72-0.1
Carlos De La Cruz
2022 · A
22 34→44 41→50 46→45 31 .166/.221/.255 .090.306 97 47% 6% 25 -3.5 .209/.265/.350 .141.325 176 39% 6% 69 -0.4 .211/.266/.351.140.31917538%5%66-0.5
Oscar Gonzalez
2018 · A
20 37→47 42→60 47→40 32 .185/.227/.291 .106.298 105 40% 5% 36 -2.7 .237/.258/.341 .104.316 115 28% 3% 62 -0.9 .259/.288/.437.177.31222124%3%97+1.4
Trayce Thompson
2011 · A
20 36→46 43→65 47→50 33 .180/.229/.288 .109.293 119 41% 5% 37 -2.7 .186/.242/.337 .151.274 1810 38% 6% 56 -1.3 .209/.298/.431.221.29131737%10%102+1.1
Brooks Baldwin
2023 · A
22 41→51 36→55 50 39 .195/.246/.261 .066.291 48 33% 6% 36 -2.7 .229/.280/.365 .136.299 1616 28% 6% 79 +0.3 .243/.294/.398.155.302191726%6%89+0.7
Dustin Peterson
2016 · A
21 41→49 39→50 44→45 38 .200/.239/.280 .080.272 74 29% 4% 38 -2.6 .223/.268/.322 .099.292 94 25% 5% 62 -0.9 .235/.279/.354.119.29015224%5%71-0.2
Juan Lagares
2010 · A
21 42→52 37→45 47→50 36 .204/.234/.277 .072.272 411 26% 3% 34 -2.8 .250/.275/.351 .101.313 715 22% 3% 71 -0.3 .270/.305/.380.110.34261322%4%87+0.7
Luis Liberato
2016 · A
20 37→47 37→50 52→50 41 .181/.243/.256 .075.268 413 32% 7% 34 -2.8 .210/.263/.327 .117.301 86 31% 7% 60 -1.0 .210/.278/.360.150.29016932%8%75+0.0
Jose Paniagua
2015 · A
21 38 40→50 49→55 41 .186/.244/.281 .095.265 711 31% 7% 41 -2.3 .197/.248/.296 .099.285 88 32% 6% 46 -2.0 .179/.215/.276.097.25610233%3%23-1.0
Óscar Mercado
2014 · A
19 38→48 37→55 52→60 40 .185/.243/.259 .074.266 412 30% 6% 35 -2.8 .192/.242/.259 .067.240 422 21% 5% 34 -2.8 .236/.299/.394.159.271162219%7%92+0.9
Brandon Barnes
2009 · A
23 38→48 37→55 46→50 33 .185/.223/.258 .073.287 48 36% 4% 25 -3.5 .204/.245/.345 .141.284 167 33% 4% 59 -1.1 .244/.289/.369.125.331121629%5%80+0.3
Jalen Miller
2017 · A
20 37→43 38→45 49→50 37 .182/.220/.257 .075.247 59 28% 4% 24 -3.5 .196/.237/.297 .101.265 99 29% 5% 42 -2.3 .182/.241/.309.127.237151829%7%45-1.4
Jai Miller
2007 · A
22 37→46 39→55 48→55 39 .178/.246/.260 .082.291 716 39% 8% 37 -2.6 .210/.273/.338 .128.319 1315 36% 7% 69 -0.4 .217/.280/.369.151.315171435%7%78+0.1
Aaron Altherr
2012 · A
21 41→51 37→55 54→50 36 .197/.237/.266 .069.285 517 32% 4% 33 -2.9 .204/.249/.316 .112.296 916 33% 5% 53 -1.5 .244/.318/.420.176.303171424%8%104+1.5
Henry Wrigley
2008 · A
21 41→48 41→55 48→45 37 .205/.238/.304 .099.272 97 28% 4% 43 -2.2 .208/.236/.320 .112.252 106 22% 3% 47 -1.9 .235/.266/.391.156.27617322%4%76+0.1
Rymer Liriano
2011 · A
20 37→47 42→45 48→55 33 .184/.230/.282 .098.296 1014 40% 5% 35 -2.8 .234/.283/.354 .120.318 1026 28% 6% 76 +0.1 .241/.294/.367.126.331112729%6%82+0.5