Angel ZarateOF Lake County Captains
Age 27 L/L 5'11" / 190 lbs A+ K +5%HR +5% Svc 0.0 · Ctrl thru 2035
wRC+†79
AVG/OBP/SLG.223 / .295 / .337
PA76
HR1
K%24
BB%8
MLB%0%
BAT: -1.8 runs (wOBA-derived runs vs avg)-2BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.5 runs (Positional adjustment)-0POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
0.0peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$0.2M
2034Extbeyond projection horizon · no WAR estimate
2035Extbeyond projection horizon · no WAR estimate
Totals $-2M $-11M -$9M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202324 A2 teams 334299 651122 22918 163 .217.289.288.576 .070.299 277 .258 55 -17 +2 +0 -2 +9 -0.8
202425 A+Lake County Captains 141120 21401 13253 71 .175.272.233.505 .058.204 189 .224 30 -11 +1 +0 -1 +4 -0.7
▸ 2026 Season
202627 MLBCLE 7669 15301 6181 20 .217.289.304.594 .087.281 248 .288 79 -2 +0 +0 -0 +2 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 8%CLE 116104 23412 9282 20 .221.296.337.632 .115.282 248 .291 81 -3 +0 -1 -1 +3 -0.0
202829 MLB 18%CLE 198177 41814 16473 31 .232.306.356.662 .124.282 248 .291 81 -4 +0 -1 -1 +6 -0.1
202930 MLB 28%CLE 256230 511015 21623 41 .222.295.339.634 .117.282 248 .290 80 -6 +0 -2 -2 +7 -0.2
203031 MLB 39%CLE 275246 541015 23684 30 .220.297.329.626 .110.281 258 .287 78 -7 +1 -3 -2 +8 -0.3
203132 MLB 49%CLE 278250 541015 23703 20 .216.290.324.614 .108.279 258 .282 74 -8 +0 -4 -2 +8 -0.5
203233 MLB 63%CLE 263237 50915 21683 10 .211.284.321.604 .110.277 268 .277 70 -9 +0 -4 -2 +7 -0.7
203334 MLB 80%CLE 229206 43814 18613 00 .209.282.316.597 .107.276 278 .271 65 -9 +0 -5 -1 +6 -0.9
▸ Career Totals (MLE all levels + projections)
Career 21661938 41777934 17253833 406 .215.290.317.607 .102.277 258 .276 69 -75 +6 -20 -13 +61 -4.2
/ 162G 650582 12523310 5216110 122 .215.291.316.607 .101.276 258 .276 69 -23 +2 -6 -4 +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
202324 ALynchburg Hillcats 307261 681122 34577 163 .261.361.341.702 .080.319 1911 .320 103 +1 +2 +9 1.2
202324 ROKACL Guardians 2725 8310 161 00 .320.370.520.890 .200.421 224 .390 156 +2 +0 +1 0.3
202425 A+Lake County Captains 141115 21401 18203 71 .183.309.243.552 .061.204 1413 .259 56 -7 +1 +4 -0.2

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
Angel Zarate (OGILVIE) 27 .223/.295/.337 .115.281 12 24% 8% 79 +0.0
Mitch Longo
2021 · AA
26 45 42→45 51→50 41 .218/.268/.325 .106.285 913 26% 6% 62 -0.9 .227/.274/.372 .145.296 1618 28% 5% 78 +0.2 .222/.267/.379.157.284192229%5%73-0.1
Nathan Panther
2008 · AA
27 44→43 45 44→45 48 .220/.289/.345 .125.271 128 23% 8% 77 +0.1 .229/.296/.356 .127.285 127 23% 8% 83 +0.6 .232/.299/.352.120.28611522%9%81+0.2
Anthony Norman
2011 · AA
26 42 47→50 55 49 .214/.295/.354 .140.266 1416 24% 8% 83 +0.6 .212/.273/.315 .103.299 610 29% 7% 62 -0.9 .228/.269/.340.113.33801231%5%62-0.2
Carlos Alvarez
2015 · AAA
27 47 43→45 47→45 51 .228/.295/.344 .116.273 109 20% 9% 79 +0.3 .236/.308/.333 .097.289 78 19% 8% 82 +0.5 .238/.311/.313.075.2974619%7%76+0.0
Isaac Ballou
2017 · AAA
27 47→48 41→45 53→50 45 .225/.281/.332 .107.285 813 23% 6% 70 -0.3 .214/.274/.318 .104.304 810 30% 7% 63 -0.8 .164/.232/.259.095.2667639%8%29-0.8
Carlos Moncrief
2016 · AAA
27 46→52 46→50 50 45 .231/.286/.365 .134.293 1411 26% 7% 81 +0.4 .225/.286/.340 .115.301 1111 27% 7% 75 -0.0 .228/.288/.334.106.31191128%7%70-0.1
Austin Davidson
2019 · AA
26 47→43 45 48→45 47 .232/.292/.360 .128.280 127 21% 7% 82 +0.5 .217/.280/.327 .110.282 96 25% 7% 69 -0.4 .189/.258/.274.085.2556126%8%43-1.3
Jerad Head
2010 · AA
27 45 45→55 50 40 .223/.283/.350 .128.283 1111 25% 5% 76 +0.1 .234/.283/.392 .158.289 187 25% 4% 88 +0.9 .229/.280/.395.166.27720725%4%85+0.4
Sherman Johnson
2016 · AA
26 43→50 43→45 52→50 52 .212/.291/.329 .117.259 1014 22% 10% 74 -0.1 .203/.281/.308 .105.261 914 24% 9% 65 -0.7 .202/.278/.294.092.27671127%9%55-0.7
Luis González
2022 · AAA
26 43→50 44→45 50 46 .214/.276/.327 .113.266 1317 25% 7% 67 -0.5 .235/.308/.353 .118.305 1118 25% 9% 87 +0.8 .237/.315/.348.110.302102023%9%85+0.3
Deik Scram
2011 · AAA
27 41→51 47→50 53→50 44 .207/.275/.349 .142.287 1412 32% 8% 72 -0.2 .212/.291/.346 .134.309 1210 32% 9% 79 +0.3 .208/.301/.346.138.30311432%11%81+0.2
Brian O'Grady
2019 · AAA
27 40→39 48→60 52→50 45 .204/.276/.351 .147.273 1513 30% 8% 74 -0.1 .217/.278/.403 .186.291 2315 32% 7% 89 +0.9 .201/.267/.390.189.270241734%7%78+0.2
Jacob Rhinesmith
2021 · A
25 42→43 43→45 49→50 45 .207/.264/.316 .109.250 1011 22% 6% 59 -1.1 .211/.276/.321 .110.275 109 25% 7% 66 -0.6 .212/.281/.339.126.27011825%8%69-0.3
Nate Spears
2012 · AAA
27 45→55 45 52→50 50 .221/.292/.343 .122.258 1212 19% 8% 79 +0.3 .213/.280/.328 .115.274 1110 25% 8% 69 -0.4 .206/.271/.309.103.2749827%8%57-0.5
Carlos Ibarra
2011 · AAA
27 48 41→50 49→40 47 .232/.285/.338 .106.275 712 18% 6% 73 -0.1 .252/.283/.386 .134.317 155 25% 3% 85 +0.7 .256/.284/.403.147.31520125%3%86+0.4
Taylor Kohlwey
2021 · AAA
27 47→53 43→45 49→50 43 .224/.293/.338 .114.317 1111 31% 7% 77 +0.1 .238/.306/.339 .101.316 811 25% 8% 82 +0.5 .236/.313/.340.104.30391123%9%83+0.5
Bobby Kingsbury
2007 · A
26 42 45→50 47→50 44 .210/.277/.340 .130.280 128 29% 7% 71 -0.3 .217/.273/.342 .125.275 1212 25% 6% 69 -0.4 .211/.266/.341.130.260121423%6%65-0.5
Preston Beck
2017 · AAA
26 44→43 43→45 49→45 46 .216/.275/.333 .117.266 107 23% 7% 68 -0.5 .213/.265/.316 .103.272 95 24% 6% 59 -1.1 .205/.261/.304.099.2669226%6%52-1.1
Alex Glenn
2017 · AA
26 43→42 48→55 51→50 39 .218/.260/.365 .147.277 159 27% 5% 69 -0.4 .193/.238/.298 .105.290 97 35% 5% 43 -2.2 .130/.173/.206.076.2186442%5%-12-2.2
Brian Sellier
2006 · A
28 45→44 47→55 51→50 45 .225/.265/.367 .142.254 1410 18% 5% 72 -0.2 .224/.272/.362 .138.250 149 17% 6% 74 -0.1 .220/.270/.362.142.23615615%6%72-0.2