Yoyner FajardoOF Arkansas Travelers
Age 27 L/R 6'0" / 179 lbs AA HR +3% Svc 0.0 · Ctrl thru 2034
wRC+†75
AVG/OBP/SLG.235 / .296 / .324
PA183
HR2
SB9
K%22
BB%7
MLB%2%
BAT: -5.2 runs (wOBA-derived runs vs avg)-5BATRUN: +0.7 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.1 runs (Positional adjustment)-1POSREP: +5.2 runs (Replacement-level credit)+5REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
4545
PWR
2525
SPD
6060
EYE
4635
trajectory · 10 yrs
0.0peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Extbeyond projection horizon · no WAR estimate
Totals $-5M $-14M -$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
201819 ROKDSL Pirates 1 256233 571061 18405 173 .245.312.352.664 .107.292 167 .289 79 -6 +2 +0 -2 +7 0.2
201920 ROKGCL Pirates 119107 29200 6163 164 .271.328.290.617 .019.309 135 .275 69 -4 +2 +0 -1 +3 0.0
202122 A2 teams 153139 34611 10384 145 .245.314.324.637 .079.330 257 .280 72 -5 +1 +0 -1 +4 -0.1
202223 A+Greensboro Grasshoppers 343320 72524 20842 1713 .225.275.291.565 .066.292 246 .251 50 -19 -2 +0 -2 +10 -1.4
202324 AA2 teams 590539 14523107 411204 5314 .269.325.388.713 .119.332 207 .311 96 -3 +5 +0 -4 +17 1.6
202425 AA3 teams 407367 921213 30966 219 .251.318.313.631 .063.328 247 .285 76 -11 +1 +0 -2 +12 -0.1
202526 AAArkansas Travelers 165153 36800 10391 116 .235.287.288.574 .052.316 246 .250 50 -9 -0 +0 -1 +5 -0.6
▸ 2026 Season
202627 MLBSEA 183166 40712 13412 93 .241.304.331.635 .090.299 227 .283 75 -5 +1 +0 -1 +5 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 9%SEA 263240 571023 19592 124 .237.299.333.632 .096.298 227 .286 77 -7 +1 -1 -2 +7 -0.1
202829 MLB 19%SEA 301273 641124 22693 134 .234.299.333.632 .099.297 237 .287 78 -8 +1 -1 -2 +9 -0.1
202930 MLB 29%SEA 327296 691224 25763 135 .233.299.328.627 .095.296 238 .286 77 -9 +1 -2 -2 +9 -0.3
203031 MLB 40%SEA 320290 671224 24753 114 .231.297.328.624 .097.295 238 .283 75 -9 +1 -3 -2 +9 -0.4
203132 MLB 49%SEA 307278 641124 23743 103 .230.296.327.623 .097.293 247 .278 71 -10 +1 -4 -2 +9 -0.6
203233 MLB 57%SEA 280255 571023 21692 83 .224.288.314.601 .090.292 258 .273 67 -10 +0 -4 -2 +8 -0.8
203334 MLB 68%SEA 239217 47812 18612 62 .217.283.290.573 .074.291 268 .267 62 -10 +0 -5 -1 +7 -0.9
▸ Career Totals (MLE all levels + projections)
Career 42533873 9301473442 30095745 23182 .240.302.328.630 .088.307 237 .282 74 -125 +13 -20 -26 +121 -3.7
/ 162G 650592 1412256 461467 3513 .238.301.323.624 .084.304 227 .282 74 -19 +2 -3 -4 +18 -0.6

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
201819 ROKDSL Pirates 1 256222 691381 29285 173 .311.402.455.857 .144.352 1111 .383 152 +15 +2 +7 2.5
201920 ROKGCL Pirates 119104 35300 9113 164 .337.405.365.771 .029.365 98 .347 124 +3 +2 +3 0.8
202122 A+Greensboro Grasshoppers 7565 16300 8132 65 .246.347.292.639 .046.308 1711 .302 89 -1 -1 +2 0.0
202122 ABradenton Marauders 7868 21421 8152 80 .309.397.471.868 .162.385 1910 .387 154 +5 +2 +2 0.9
202223 A+Greensboro Grasshoppers 343304 79636 36642 1713 .260.342.359.701 .099.311 1910 .319 103 +1 -2 +10 0.9
202324 AAWichita Wind Surge 527469 1432389 50844 5013 .305.377.446.822 .141.354 169 .365 137 +22 +5 +15 4.3
202324 INTLGigantes del Cibao 6354 14310 770 31 .259.344.352.696 .093.292 1111 .308 94 -0 +0 +2 0.2
202425 AAASt. Paul Saints 114105 24204 6341 33 .229.274.362.636 .133.294 305 .282 74 -3 -1 +3 -0.1
202425 AAAltoona Curve 265220 661030 35375 175 .300.402.373.774 .073.359 1413 .354 129 +9 +1 +8 1.8
202425 INTLGigantes del Cibao 2823 3010 380 11 .130.231.217.448 .087.188 2911 .197 9 -3 -0 +1 -0.2
202526 AAArkansas Travelers 165149 37800 13321 116 .248.311.302.613 .054.316 198 .281 73 -5 -0 +5 -0.1

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
Yoyner Fajardo (OGILVIE) 27 45 25 60 35 .235/.296/.324 .090.299 29 22% 7% 75 -0.0
Nathan Haynes
2007 · AAA
27 48 41→40 55 42 .228/.280/.337 .109.310 725 28% 6% 70 -0.3 .252/.297/.349 .097.334 625 25% 5% 80 +0.4 .268/.307/.349.081.35052824%5%81+0.2
Brian Miller
2023 · AAA
27 51→57 40 61→60 43 .244/.287/.344 .100.309 630 23% 6% 75 -0.0 .228/.281/.325 .097.295 725 24% 6% 67 -0.5 .207/.270/.276.068.27532924%7%49-0.9
Patrick Biondi
2018 · AA
27 50→42 36→30 55→60 45 .233/.290/.294 .062.308 328 24% 7% 63 -0.8 .217/.283/.274 .057.307 327 28% 8% 56 -1.3 .194/.269/.217.023.28703729%8%33-1.2
Magneuris Sierra
2023 · MLB
27 47→57 39→40 59→60 44 .226/.276/.311 .085.283 729 22% 6% 62 -0.9 .221/.272/.316 .095.296 824 27% 6% 62 -0.9 .205/.256/.273.068.29552630%6%41-0.8
Quintin Berry
2012 · AAA
27 49→58 39→40 58→65 46 .232/.298/.313 .081.314 734 27% 8% 72 -0.2 .229/.299/.304 .075.314 536 26% 8% 71 -0.3 .230/.303/.293.064.31233825%8%67-0.4
Kyle Wren
2018 · AAA
27 52→59 36→40 56→60 48 .244/.299/.312 .068.299 426 19% 7% 72 -0.2 .232/.286/.318 .086.307 618 25% 7% 68 -0.5 .234/.284/.314.079.32241727%6%66-0.3
Andrew Aplin
2018 · AAA
27 45→55 40 54→55 50 .215/.289/.306 .091.277 721 24% 9% 66 -0.6 .208/.276/.313 .105.265 910 24% 8% 64 -0.8 .208/.275/.310.102.2568321%8%59-0.6
Mike Rodriguez
2008 · AAA
27 50→52 40 57→55 49 .236/.287/.331 .095.271 622 16% 6% 72 -0.2 .227/.268/.320 .093.280 614 20% 5% 60 -1.0 .225/.261/.310.085.28251121%4%51-1.2
Ian Miller
2019 · AAA
27 52→58 36→40 61→60 43 .244/.290/.310 .066.309 334 22% 5% 67 -0.5 .229/.280/.327 .098.287 829 22% 6% 68 -0.5 .224/.278/.325.102.27683021%6%65-0.6
Eric Reed
2008 · MLB
27 49→51 37→40 62→60 38 .233/.268/.315 .082.310 333 26% 4% 59 -1.1 .222/.265/.304 .082.288 523 23% 5% 55 -1.4 .202/.247/.221.019.25901921%5%22-0.9
Ben Copeland
2011 · AAA
27 50→53 41→45 56→55 47 .239/.291/.345 .106.293 721 20% 7% 76 +0.1 .224/.272/.340 .116.283 1019 23% 6% 68 -0.5 .207/.248/.327.120.258112024%5%51-0.6
Brad Coon
2010 · AAA
27 53→57 37→40 53→60 49 .248/.311/.318 .070.302 525 19% 7% 79 +0.3 .230/.294/.305 .075.295 517 22% 8% 68 -0.5 .217/.285/.287.070.28441623%8%57-0.7
Drew Avans
2023 · AAA
27 49→53 42→45 64→60 45 .230/.302/.347 .117.332 833 31% 8% 82 +0.5 .222/.293/.323 .101.317 828 30% 9% 73 -0.1 .223/.294/.314.091.31183029%9%68-0.5
Cade Gotta
2019 · AAA
27 49→51 41→45 58→55 44 .234/.282/.337 .103.295 731 23% 6% 71 -0.3 .238/.304/.352 .114.309 923 24% 8% 85 +0.7 .249/.328/.367.118.32092123%10%99+0.6
Kenny Wilson
2017 · AAA
27 47→50 39→40 56→60 43 .223/.280/.310 .087.303 527 27% 6% 64 -0.8 .214/.279/.306 .092.310 723 31% 7% 63 -0.9 .199/.267/.293.094.30582235%7%52-0.6
Elian Herrera
2012 · AAA
27 50→55 37→40 58→60 46 .231/.294/.308 .076.321 430 28% 8% 69 -0.4 .240/.297/.327 .087.318 520 24% 7% 75 -0.0 .247/.290/.343.096.31871023%6%70-0.2
Wayne Lydon
2008 · AAA
27 50→51 40 58→55 44 .237/.283/.335 .098.302 625 23% 6% 71 -0.3 .233/.285/.309 .076.290 428 20% 6% 65 -0.7 .233/.289/.281.047.28713818%7%57-1.2
Nook Logan
2007 · MLB
27 51 37→40 58→60 48 .242/.296/.322 .080.300 427 20% 7% 72 -0.2 .245/.293/.333 .088.325 428 24% 6% 74 -0.1 .260/.300/.338.078.35103925%5%75-0.0
Sean Danielson
2010 · AAA
27 51→57 37→30 56→55 45 .240/.291/.315 .075.309 424 23% 7% 69 -0.4 .229/.282/.304 .075.304 618 25% 6% 63 -0.9 .232/.286/.268.036.30831924%6%50-0.6
Rey Fuentes
2018 · MLB
27 53→61 38→40 57→60 41 .252/.294/.332 .081.325 626 24% 5% 74 -0.1 .229/.281/.325 .096.297 817 24% 6% 68 -0.5 .209/.268/.298.089.27081524%6%53-0.9