Yelserth Ayala2B DSL CLE Mendoza
Age 20 S/R 5'8" / 140 lbs ROK BB +7% Svc 0.0 · Ctrl thru 2037 peak 2.0 · 2033
wRC+†59
AVG/OBP/SLG.207 / .273 / .301
PA49
HR1
K%29
BB%7
MLB%0%
BAT: -2.2 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 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
2.0peak
2033

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+1.9$18M+$17M
2033Ext / FA-deal$1.0M+2.0$20M+$19M
2034Ext / FA-deal$1.0M+1.9$19M+$18M
2035Ext / FA-deal$3M+1.7$18M+$14M
2036Ext / FA-deal$5M+1.4$15M+$10M
2037Ext / FA-deal$5M+1.1$12M+$7M
Totals $16M $102M +$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
202317 ROKDSL Guardians Blue 126117 26500 7322 166 .222.278.265.543 .043.306 256 .242 43 -8 +1 +0 +0 +4 -0.3
202418 ROKDSL CLE Mendoza 6657 11110 6182 81 .193.292.246.538 .053.282 279 .228 33 -5 +1 +0 +0 +2 -0.2
▸ 2026 Season
202620 MLBPIT 4945 10201 4140 10 .222.286.333.619 .111.289 298 .263 59 -2 +0 +0 +0 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%PIT 116105 23412 9321 20 .219.287.333.620 .114.292 288 .286 77 -3 +0 +0 +0 +3 0.1
202822 MLB 28%PIT 261234 53926 22693 51 .226.301.359.660 .132.293 268 .300 88 -4 +1 +0 +1 +7 0.5
202923 MLB 48%PIT 365325 7513210 33944 82 .231.309.375.685 .145.294 269 .309 95 -2 +1 +0 +1 +10 1.0
203024 MLB 62%PIT 436388 9216313 401105 92 .237.316.394.711 .157.294 259 .314 99 -1 +1 +0 +2 +12 1.5
203125 MLB 80%PIT 478425 10118314 451205 102 .238.318.393.711 .155.295 259 .318 101 +1 +1 +0 +2 +14 1.8
203226 MLB 94%PIT 503444 10518315 481266 112 .236.319.392.711 .155.295 2510 .319 103 +1 +1 +0 +2 +14 1.9
203327 MLBPIT 514453 10719315 501306 112 .236.320.391.711 .155.295 2510 .319 103 +2 +1 +0 +2 +15 2.0
203428 MLBPIT 517456 10819315 501316 101 .237.320.390.711 .154.295 2510 .318 102 +1 +2 -1 +2 +15 1.9
203529 MLBPIT 512451 10618315 501326 91 .235.320.388.708 .153.294 2610 .316 100 +0 +1 -1 +2 +15 1.7
203630 MLBPIT 504444 10318314 501315 81 .232.317.381.697 .149.293 2610 .313 98 -1 +1 -2 +2 +14 1.4
203731 MLBPIT 492436 10017314 481305 50 .229.313.378.691 .149.291 2610 .309 95 -3 +1 -3 +2 +14 1.1
203832 MLBPIT 475421 9516313 461285 30 .226.309.371.680 .145.290 2710 .305 91 -5 +1 -4 +2 +13 0.8
203933 MLBPIT 446395 8815311 431235 10 .223.307.359.666 .137.288 2810 .299 87 -6 +0 -4 +2 +13 0.4
204034 MLBPIT 401355 7713210 391144 00 .217.302.349.651 .132.286 2810 .293 82 -8 +0 -5 +1 +11 -0.0
204135 MLBPIT 347308 651128 331023 00 .211.294.338.631 .127.284 2910 .285 76 -9 +0 -6 +1 +10 -0.4
▸ Career Totals (MLE all levels + projections)
Career 66085859 134523240176 623173673 11721 .230.311.373.684 .143.294 269 .307 93 -53 +15 -25 +24 +187 15.1
/ 162G 650576 13223417 611717 122 .229.310.372.682 .142.294 269 .307 93 -5 +2 -2 +2 +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
202317 ROKDSL Guardians Blue 126113 32600 11222 166 .283.357.336.693 .053.352 179 .320 103 +0 +1 +4 0.5
202418 ROKDSL CLE Mendoza 6653 13110 10122 81 .245.385.302.687 .057.317 1815 .323 105 +0 +1 +2 0.4

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
Yelserth Ayala (OGILVIE) 20 .207/.273/.301 .094.289 11 29% 7% 59 -0.1
Dylan Carlson
2019 · A
20 42→52 43→55 45→50 45 .206/.277/.315 .109.279 106 28% 8% 65 -0.7 .228/.297/.383 .155.293 1610 27% 8% 91 +1.1 .242/.327/.396.154.29614422%9%105+1.6
Francisco Mejía
2016 · A
20 43→53 41→55 47→40 43 .211/.267/.303 .093.260 95 23% 6% 56 -1.3 .250/.290/.373 .123.301 134 21% 5% 85 +0.7 .258/.304/.423.165.30516121%5%101+0.9
Adalberto Mondesi
2015 · A
20 39→49 40→60 54→65 34 .196/.228/.285 .089.279 714 32% 4% 34 -2.8 .205/.237/.323 .118.291 1124 32% 4% 49 -1.8 .248/.279/.427.179.328194930%4%92+0.9
Angel Martínez
2022 · A
20 42→48 40→50 49→50 44 .205/.261/.303 .099.264 710 25% 7% 54 -1.4 .223/.284/.349 .126.283 1210 24% 7% 76 +0.1 .227/.291/.359.132.280131023%7%80+0.3
Yonathan Perlaza
2019 · A
20 44→52 37→60 48→50 38 .209/.246/.281 .072.297 312 30% 5% 40 -2.4 .218/.268/.312 .094.317 87 32% 6% 59 -1.1 .235/.307/.417.182.303191228%9%100+1.6
Miguel Gómez
2013 · A
20 42→52 38→50 49→40 41 .201/.259/.282 .081.276 46 28% 6% 48 -1.9 .220/.266/.316 .096.291 75 25% 5% 59 -1.1 .271/.288/.403.133.30514116%2%87+0.6
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Dalton Pompey
2013 · A
20 40→50 40→45 55 44 .197/.264/.289 .093.275 816 30% 8% 53 -1.5 .236/.299/.340 .104.314 724 25% 8% 79 +0.3 .253/.315/.362.109.32572823%8%88+0.8
Juan Brito
2022 · A
20 45→48 42→50 49→45 46 .222/.285/.324 .103.281 1012 24% 7% 70 -0.3 .230/.313/.368 .138.279 139 21% 10% 94 +1.3 .226/.311/.371.145.26615920%10%91+1.0
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
Adael Amador
2022 · A
19 45→54 41→50 45→55 47 .219/.281/.317 .098.274 811 23% 8% 66 -0.6 .241/.317/.373 .132.280 1517 19% 9% 97 +1.5 .233/.312/.369.136.267172319%9%90+0.8
Blake Perkins
2018 · A
21 42→52 40→50 51→55 43 .206/.261/.296 .090.274 814 27% 6% 52 -1.6 .202/.269/.286 .084.291 717 30% 8% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Anthony Santander
2015 · A
20 39→49 40→65 47→45 40 .192/.246/.287 .095.263 88 29% 6% 44 -2.1 .220/.272/.355 .135.289 156 28% 5% 72 -0.2 .242/.317/.473.231.25731220%9%120+3.4
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Henry Ramos
2012 · A
20 43→53 41→50 50 36 .211/.245/.308 .097.286 814 29% 4% 48 -1.9 .215/.257/.320 .105.287 99 27% 5% 56 -1.3 .251/.313/.394.142.31416724%7%96+0.9
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
Shawn O'Malley
2008 · A
20 42→52 36→40 50→60 41 .198/.262/.265 .067.281 411 29% 6% 45 -2.1 .210/.283/.263 .053.291 123 26% 7% 53 -1.5 .259/.321/.357.098.32252320%7%89+0.6
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0
Josh Johnson
2006 · A
20 43→49 39→45 48→50 50 .204/.281/.297 .094.268 59 25% 9% 61 -1.0 .218/.305/.288 .070.282 410 21% 11% 69 -0.4 .247/.316/.352.105.29591618%9%86+0.5
Michael Harris II
2021 · A
20 44→54 39→55 52→55 41 .212/.263/.298 .086.291 610 28% 6% 53 -1.5 .258/.304/.406 .148.329 1421 25% 5% 99 +1.7 .278/.321/.456.177.328212121%5%116+2.7