Erick ArosemenaCF DSL Giants Orange
Age 21 R/R 6'0" / 170 lbs ROK BB -3% Svc 0.0 · Ctrl thru 2037 peak 1.4 · 2031
wRC+†61
AVG/OBP/SLG.206 / .275 / .303
PA50
HR1
K%30
BB%7
MLB%0%
BAT: -2.2 runs (wOBA-derived runs vs avg)-2BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.2 runs (Positional adjustment)+0POSREP: +1.4 runs (Replacement-level credit)+1REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.4peak
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+1.4$13M+$12M
2033Ext / FA-deal$1.0M+1.3$13M+$12M
2034Ext / FA-deal$1.0M+1.1$11M+$10M
2035Ext / FA-deal$2M+0.9$5M+$3M
2036Ext / FA-deal$2M+0.6$3M+$0.9M
2037Ext / FA-deal$1M+0.3$2M+$0.2M
Totals $9M $47M +$38M

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 Giants Orange 123111 11202 7624 41 .099.180.171.351 .072.188 506 .164 -16 -16 +0 +0 +0 +3 -1.2
202318 ROKDSL Giants Orange 147127 25500 9498 12 .197.292.236.528 .039.309 336 .236 39 -10 -1 +0 +1 +4 -0.6
202419 ROKDSL Giants Orange 7053 11221 9226 20 .208.382.377.760 .170.312 3113 .304 91 -1 +0 +0 +0 +2 0.2
▸ 2026 Season
202621 MLBSF 5045 10201 4151 10 .222.300.333.633 .111.288 308 .265 61 -2 +0 +0 +0 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%SF 114103 22412 9321 20 .214.283.330.613 .117.290 288 .284 76 -3 +0 +0 +0 +3 0.1
202823 MLB 28%SF 248222 50926 21683 41 .225.301.365.666 .140.292 278 .296 85 -4 +0 +0 +1 +7 0.4
202924 MLB 45%SF 347310 711329 30934 61 .229.305.371.676 .142.293 279 .304 90 -4 +1 +0 +1 +10 0.8
203025 MLB 60%SF 408364 8415311 361085 71 .231.309.379.688 .148.294 269 .308 94 -3 +1 +0 +1 +12 1.2
203126 MLB 77%SF 445396 9216313 401186 81 .232.312.386.699 .154.294 279 .311 96 -2 +1 +0 +2 +13 1.4
203227 MLB 92%SF 464413 9517313 421236 81 .230.310.380.690 .150.294 279 .311 96 -2 +1 +0 +2 +13 1.4
203328 MLBSF 471419 9617313 431266 71 .229.310.377.687 .148.294 279 .310 95 -3 +1 -1 +2 +13 1.3
203429 MLBSF 469416 9617313 441276 61 .231.313.380.693 .149.293 279 .307 93 -3 +1 -1 +2 +13 1.1
203530 MLBSF 463411 9316313 431276 50 .226.309.375.683 .148.292 279 .304 91 -5 +1 -2 +2 +13 0.9
203631 MLBSF 452401 9016312 421266 30 .224.307.369.676 .145.290 289 .301 88 -6 +1 -3 +2 +13 0.6
203732 MLBSF 436388 8515211 401235 10 .219.300.353.653 .134.289 289 .296 85 -8 +0 -4 +2 +12 0.3
203833 MLBSF 407362 7713210 371185 00 .213.295.343.637 .130.287 299 .290 80 -9 +0 -4 +1 +12 -0.0
203934 MLBSF 363323 671128 331084 00 .207.289.328.617 .121.285 309 .284 76 -10 +0 -5 +1 +10 -0.3
▸ Career Totals (MLE all levels + projections)
Career 54774864 107519034138 489154582 6510 .221.303.359.662 .138.292 289 .297 85 -91 +9 -20 +20 +155 7.5
/ 162G 650577 12823416 5818310 81 .222.304.359.663 .137.293 289 .297 85 -11 +1 -2 +2 +18 0.9

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 Giants Orange 123107 19313 11434 41 .178.279.308.587 .131.258 359 .270 65 -5 +0 +3 -0.1
202318 ROKDSL Giants Orange 147121 32700 15348 12 .264.382.322.704 .058.356 2310 .326 108 +1 -1 +4 0.5
202419 ROKDSL Giants Orange 7048 11221 14156 20 .229.456.417.873 .188.294 2120 .393 159 +5 +0 +2 0.7

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
Erick Arosemena (OGILVIE) 21 .206/.275/.303 .097.288 11 30% 7% 61 -0.1
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
Emmanuel Rivera
2017 · A
21 40→50 37→55 49→45 43 .190/.250/.266 .075.266 310 28% 7% 40 -2.4 .234/.273/.341 .107.295 96 23% 4% 68 -0.5 .246/.303/.412.166.29319422%7%97+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
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
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
Yeison Asencio
2011 · A
21 41→51 41→50 49→45 45 .200/.261/.302 .103.250 810 23% 7% 54 -1.4 .243/.275/.360 .117.282 98 17% 4% 74 -0.1 .270/.297/.398.128.28815712%2%92+0.9
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
Sam McWilliams
2019 · A
21 46→53 39→55 54→50 43 .215/.280/.307 .092.311 614 31% 7% 63 -0.8 .213/.273/.319 .106.326 810 35% 7% 63 -0.8 .244/.305/.407.163.380181038%7%98+1.1
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
Felix Reyes
2022 · A
21 42→52 43→50 49→45 38 .205/.269/.316 .111.287 1112 31% 5% 62 -0.9 .203/.244/.316 .113.258 137 26% 4% 50 -1.7 .241/.274/.386.144.27517819%4%81+0.2
Tyler Nevin
2018 · A
21 46→54 41→50 45 43 .225/.276/.329 .104.286 89 24% 6% 67 -0.5 .231/.283/.339 .108.294 106 24% 6% 72 -0.2 .240/.318/.386.146.29017422%8%98+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
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
Austin Dean
2014 · A
20 41→51 40→55 45 45 .197/.269/.289 .093.270 76 28% 8% 55 -1.4 .229/.274/.325 .096.288 76 22% 5% 65 -0.7 .257/.302/.413.156.30417421%5%96+1.1
Luke Hughes
2006 · A
21 43→52 41→55 47→45 40 .213/.258/.309 .097.272 85 25% 4% 54 -1.4 .224/.271/.331 .107.294 106 26% 5% 66 -0.6 .241/.294/.397.156.30417526%6%91+0.8
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
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
Clint Frazier
2016 · A
21 44→46 44→55 47→50 40 .213/.274/.332 .119.314 119 34% 7% 68 -0.5 .227/.285/.378 .151.308 1511 30% 7% 84 +0.6 .237/.308/.417.181.30120627%8%101+0.9
Michael Wing
2010 · A
21 46→53 40→55 50→40 40 .219/.268/.320 .101.305 65 29% 6% 61 -1.0 .232/.278/.355 .123.297 113 25% 5% 75 -0.0 .244/.285/.411.167.30419326%4%91+0.7