Ricardo PenaC Fort Myers Mighty Mussels
Age 21 R/R 6'0" / 180 lbs A BB +3% Svc 0.0 · Ctrl thru 2036 peak 2.1 · 2032
wRC+†44
AVG/OBP/SLG.205 / .272 / .309
PA84
HR1
K%31
BB%7
MLB%0%
BAT: -5.3 runs (wOBA-derived runs vs avg)-5BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.5 runs (Positional adjustment)+1POSREP: +2.4 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.0peak
2031

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
2031Arb-3$0.9M+2.0$19M+$18M
2032Ext / FA-deal$0.9M+2.1$20M+$19M
2033Ext / FA-deal$1.0M+2.0$20M+$19M
2034Ext / FA-deal$3M+1.8$18M+$15M
2035Ext / FA-deal$5M+1.5$16M+$11M
2036Ext / FA-deal$5M+1.2$13M+$7M
Totals $17M $105M +$88M

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 Twins 7569 10102 4341 21 .145.203.246.449 .101.235 455 .201 12 -7 +0 +0 +1 +2 -0.4
202318 ROKDSL Twins 8879 17401 4204 31 .215.287.304.591 .089.271 235 .249 49 -5 +0 +0 +2 +2 -0.1
202419 ROKFCL Twins 10694 24601 10312 10 .255.340.351.691 .096.371 299 .310 95 -1 +0 +0 +2 +3 0.5
202520 A2 teams 7262 7101 7372 00 .113.225.177.403 .065.240 5110 .192 5 -8 +0 +0 +1 +2 -0.5
▸ 2026 Season (actual · ROS · total)
202621 AFort Myers Mighty Mussels 1513 1000 290 00 .077.200.077.277 .000.250 6013 .142 -33 -2 +0 +0 +0 +0 -0.2
ROS21 MLBMIN 6963 12201 5211 10 .190.261.270.531 .079.289 307 .265 61 -3 +0 +0 +1 +2 0.0
TOT21 MLBMIN 8476 13201 7301 10 .171.250.237.487 .066.267 368 .243 44 -5 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%MIN 187168 37714 15542 31 .220.292.345.637 .125.291 298 .284 75 -5 +0 +0 +3 +5 0.4
202823 MLB 28%MIN 304273 611128 25863 51 .223.296.366.662 .143.292 288 .295 84 -5 +1 +0 +5 +9 0.9
202924 MLB 45%MIN 386346 7814211 331064 71 .225.300.373.673 .147.293 279 .302 90 -5 +1 +0 +7 +11 1.5
203025 MLB 60%MIN 434388 8916312 381185 82 .229.306.379.685 .149.294 279 .307 93 -3 +1 +0 +8 +12 1.8
203126 MLB 77%MIN 463413 9517313 421265 82 .230.309.380.689 .150.294 279 .309 94 -3 +1 +0 +8 +13 2.0
203227 MLB 92%MIN 475424 9717314 431305 81 .229.307.382.689 .153.294 279 .309 95 -3 +1 +0 +8 +13 2.1
203328 MLBMIN 479427 9818314 441325 81 .230.309.384.693 .155.294 289 .308 94 -3 +1 -1 +9 +14 2.0
203429 MLBMIN 474422 9517313 441325 71 .225.306.372.678 .147.293 289 .306 92 -4 +1 -1 +8 +13 1.8
203530 MLBMIN 467416 9317213 431325 50 .224.304.368.672 .144.292 289 .302 90 -5 +1 -2 +8 +13 1.5
203631 MLBMIN 441392 8615212 411265 30 .219.301.360.661 .140.290 299 .299 87 -7 +1 -3 +8 +12 1.2
203732 MLBMIN 412367 8014211 381204 10 .218.298.357.655 .139.289 299 .294 83 -8 +0 -4 +7 +12 0.8
203833 MLBMIN 372331 701229 341114 00 .211.293.341.634 .130.287 309 .289 79 -9 +0 -4 +7 +11 0.4
203934 MLBMIN 321286 601028 29983 00 .210.289.343.632 .133.285 319 .282 74 -9 +0 -5 +6 +9 0.1
204035 MLBMIN 264235 48816 24843 00 .204.286.323.610 .119.283 329 .274 68 -9 +0 -6 +5 +7 -0.3
204136 MLBMIN 208186 36614 18682 00 .194.272.301.573 .108.280 339 .266 61 -9 +0 -6 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 60975441 119321332158 541176670 7012 .219.298.357.655 .138.292 299 .295 84 -113 +9 -31 +109 +173 15.0
/ 162G 650580 12723317 581887 71 .219.298.357.655 .138.291 299 .295 84 -12 +1 -3 +12 +18 1.6

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 Twins 7566 15203 7231 21 .227.311.394.705 .167.293 319 .313 98 -0 +0 +2 0.2
202318 ROKDSL Twins 8876 21501 7144 31 .276.368.382.749 .105.323 168 .340 118 +2 +0 +2 0.5
202419 ROKFCL Twins 10686 31801 18212 10 .360.481.488.970 .128.469 2017 .437 192 +11 +0 +3 1.5
202520 AFort Myers Mighty Mussels 4140 6200 0170 00 .150.150.200.350 .050.250 410 .151 -26 -6 +0 +1 -0.5
202520 ROKFCL Twins 3118 4001 1192 00 .222.548.389.937 .167.375 2935 .450 202 +4 +0 +1 0.5

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
Ricardo Pena (OGILVIE) 21 .205/.272/.309 .104.289 11 31% 7% 61 -0.1
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
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
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
Max Stassi
2012 · A
21 40→43 44→55 43→40 41 .198/.260/.309 .111.287 125 34% 7% 56 -1.3 .218/.270/.362 .144.290 174 30% 5% 74 -0.1 .208/.295/.359.151.27120030%10%81+0.2
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
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
Yu Chang
2017 · A
21 41→44 45→50 49→45 39 .206/.256/.333 .127.283 128 31% 6% 60 -1.0 .202/.261/.347 .145.281 168 33% 6% 66 -0.6 .213/.268/.374.161.27120629%6%75-0.0
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
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
Luis Torrens
2017 · A
21 43→49 41→55 46→30 47 .210/.281/.305 .094.262 96 23% 8% 64 -0.8 .214/.267/.307 .093.269 73 22% 6% 57 -1.2 .228/.285/.376.148.28819027%7%82+0.3
Hunter Goodman
2022 · A
22 46→47 42→65 50→40 43 .220/.291/.330 .111.304 97 29% 7% 75 -0.0 .215/.268/.415 .200.284 264 34% 6% 88 +0.9 .221/.275/.455.234.25932229%6%99+1.4
Jorge Alfaro
2014 · A
21 40→50 46→50 51→50 33 .203/.255/.338 .135.299 1411 36% 4% 62 -0.9 .213/.261/.347 .134.308 147 34% 4% 66 -0.6 .259/.315/.406.147.38019635%5%97+0.8
Marcus Greene Jr.
2016 · A
21 42 46→50 52→40 44 .205/.283/.341 .136.298 138 34% 9% 74 -0.1 .199/.260/.324 .125.272 144 31% 7% 60 -1.0 .192/.251/.302.111.25513129%6%48-0.7
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
Jakson Reetz
2017 · A
21 43→34 39→60 47→45 44 .201/.284/.294 .093.288 67 30% 8% 63 -0.8 .196/.270/.295 .099.288 95 33% 7% 57 -1.2 .197/.277/.397.201.24526431%7%84+0.3
John Hester
2007 · A
23 42 43→55 50 41 .206/.271/.327 .122.299 107 33% 7% 65 -0.7 .224/.267/.365 .141.298 147 29% 5% 72 -0.2 .249/.292/.416.167.322151027%5%94+0.7
Eric Haase
2014 · A
21 41 47→65 46→40 39 .204/.257/.342 .138.299 144 36% 7% 63 -0.9 .195/.250/.342 .147.292 163 37% 6% 60 -1.0 .218/.277/.437.219.28432235%7%94+0.9
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
Tyler Stephenson
2019 · A
22 43→53 42→50 46→30 44 .212/.280/.315 .103.285 103 28% 8% 66 -0.6 .232/.305/.347 .115.297 113 24% 8% 85 +0.7 .253/.327/.399.146.32316125%9%102+1.3
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9