Eliezer RiveroC Rancho Cucamonga Quakes
Age 21 R/R 6'0" / 180 lbs A HR -5% Svc 0.0 · Ctrl thru 2036 peak 2.0 · 2031
wRC+†50
AVG/OBP/SLG.203 / .271 / .302
PA145
HR2
K%31
BB%7
MLB%0%
BAT: -8.2 runs (wOBA-derived runs vs avg)-8BATRUN: -0.2 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.6 runs (Positional adjustment)+3POSREP: +4.1 runs (Replacement-level credit)+4REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
2.1peak
2032

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+2.0$19M+$18M
2033Ext / FA-deal$1.0M+2.0$20M+$19M
2034Ext / FA-deal$3M+1.7$17M+$14M
2035Ext / FA-deal$5M+1.5$16M+$11M
2036Ext / FA-deal$5M+1.2$13M+$7M
Totals $17M $103M +$86M

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 Angels 7669 16300 3183 22 .232.293.275.569 .043.314 244 .238 40 -5 -0 +0 +1 +2 -0.2
202318 ROKACL Angels 5246 7100 3242 20 .152.235.174.409 .022.304 466 .194 7 -5 +0 +0 +1 +1 -0.3
202419 ROKACL Angels 5040 9100 5162 31 .225.340.250.590 .025.360 3210 .246 46 -3 +0 +0 +1 +1 -0.1
202520 ROK2 teams 154137 29500 66310 42 .212.294.248.542 .036.392 414 .233 36 -11 +0 +0 +3 +4 -0.4
▸ 2026 Season (actual · ROS · total)
202621 ARancho Cucamonga Quakes 1514 2000 190 00 .143.200.143.343 .000.400 607 .145 -31 -2 +0 +0 +0 +0 -0.2
ROS21 MLBLAA 130118 24412 9402 21 .203.271.305.576 .102.290 317 .262 59 -6 +0 +0 +2 +4 -0.0
TOT21 MLBLAA 145132 26412 10492 21 .197.264.288.552 .091.293 347 .250 50 -8 +0 +0 +3 +4 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%LAA 234211 45815 18693 41 .213.284.332.616 .118.292 298 .282 74 -7 +0 +0 +4 +7 0.4
202823 MLB 28%LAA 339304 671228 28964 61 .220.295.352.647 .132.293 288 .294 83 -7 +1 +0 +6 +10 1.0
202924 MLB 45%LAA 412369 8315211 351145 72 .225.301.366.667 .141.294 288 .301 88 -5 +1 +0 +7 +12 1.5
203025 MLB 60%LAA 452404 9316313 391246 82 .230.307.381.689 .151.294 279 .306 92 -4 +1 +0 +8 +13 1.8
203126 MLB 77%LAA 476425 9817314 421316 92 .231.309.384.692 .153.295 289 .308 94 -3 +1 +0 +8 +13 2.0
203227 MLB 92%LAA 486434 9917314 431346 92 .228.306.378.684 .150.295 289 .308 94 -3 +1 +0 +9 +14 2.0
203328 MLBLAA 488435 9917314 441356 81 .228.307.377.684 .149.295 289 .307 93 -4 +1 -1 +9 +14 2.0
203429 MLBLAA 482429 9717313 441356 71 .226.307.371.678 .145.294 289 .305 91 -5 +1 -1 +9 +14 1.7
203530 MLBLAA 474422 9517313 431346 60 .225.306.372.678 .147.292 289 .302 89 -6 +1 -2 +8 +13 1.5
203631 MLBLAA 448398 8715212 411296 30 .219.301.357.658 .138.291 299 .298 86 -7 +1 -3 +8 +13 1.2
203732 MLBLAA 417371 8114211 381225 10 .218.300.356.655 .137.289 299 .293 82 -8 +0 -4 +7 +12 0.8
203833 MLBLAA 378336 711229 341135 00 .211.293.339.633 .128.288 309 .288 78 -9 +0 -4 +7 +11 0.4
203934 MLBLAA 326290 601027 291014 00 .207.288.328.616 .121.286 319 .281 73 -10 +0 -5 +6 +9 0.0
204035 MLBLAA 269240 48816 24863 00 .200.281.317.598 .117.284 329 .274 68 -10 +0 -6 +5 +8 -0.3
204136 MLBLAA 212190 37614 18702 00 .195.271.300.571 .105.281 338 .265 61 -9 +0 -6 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 63555668 124521534156 546185492 8118 .220.299.352.651 .132.295 299 .293 82 -129 +9 -31 +113 +180 14.5
/ 162G 650580 12722316 561909 82 .219.298.350.648 .131.294 299 .293 82 -13 +1 -3 +12 +18 1.5

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 Angels 7667 19300 5123 22 .284.360.328.688 .045.345 167 .316 100 +0 -0 +2 0.2
202318 ROKACL Angels 5245 11200 4152 20 .244.333.289.622 .044.355 298 .288 79 -1 +0 +1 0.1
202419 ROKACL Angels 5037 9100 8112 31 .243.404.270.675 .027.333 2216 .312 97 -0 +0 +1 0.1
202520 AInland Empire 66ers 1615 3000 160 00 .200.250.200.450 .000.333 386 .213 21 -1 +0 +0 -0.1
202520 ROKACL Angels 138118 37700 93610 42 .314.409.373.782 .059.451 267 .361 134 +5 +0 +4 0.9

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
Eliezer Rivero (OGILVIE) 21 .203/.271/.302 .098.290 22 31% 7% 59 -0.3
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
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
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
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
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
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
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
David Bote
2014 · A
21 40→48 39→55 47→45 47 .191/.269/.278 .087.263 67 28% 9% 52 -1.6 .204/.273/.294 .090.273 66 26% 7% 57 -1.2 .234/.308/.397.164.29819627%8%95+1.0
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
Michael Chavis
2017 · A
21 36→46 45→60 46→45 34 .189/.233/.308 .119.271 136 35% 4% 44 -2.1 .224/.274/.401 .177.296 234 32% 5% 86 +0.8 .235/.292/.438.203.30429332%6%100+1.1
Eguy Rosario
2021 · A
21 43→49 42→55 48→55 39 .213/.259/.322 .109.292 912 30% 5% 58 -1.2 .227/.286/.366 .139.304 1420 28% 7% 82 +0.5 .223/.285/.369.146.292152128%7%80+0.2
Parker Meadows
2021 · A
21 40→47 41→55 46→55 42 .197/.253/.288 .091.267 99 29% 7% 47 -1.9 .203/.263/.335 .132.270 1412 29% 7% 64 -0.8 .225/.292/.400.175.278202126%8%91+1.1
Keon Broxton
2011 · A
21 38→48 41→55 53→60 36 .184/.238/.293 .109.299 710 39% 6% 41 -2.3 .196/.253/.296 .100.314 915 38% 7% 49 -1.8 .225/.301/.390.165.341173836%9%92+1.0
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
Alonzo Harris
2010 · A
21 41→50 45→55 50→60 37 .209/.251/.325 .116.281 1412 31% 5% 56 -1.3 .210/.248/.305 .095.275 815 26% 4% 48 -1.9 .240/.296/.401.161.286193522%7%92+0.9
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
Ryan McKenna
2018 · A
21 43→53 42→50 52→55 39 .210/.265/.317 .107.297 912 31% 6% 59 -1.1 .226/.289/.332 .106.311 912 28% 7% 73 -0.1 .218/.295/.357.140.319161334%9%80+0.2
Chris Nelson
2007 · A
21 41→51 42→50 49→50 37 .204/.244/.308 .104.272 99 28% 4% 48 -1.9 .223/.274/.359 .136.280 1312 24% 6% 75 -0.0 .257/.301/.387.130.31113721%5%87+0.6