Yeuni MunozOF Dunedin Blue Jays
Age 22 R/R 6'1" / 190 lbs A HR +12%BB +4% Svc 0.0 · Ctrl thru 2036 peak 0.4 · 2031
wRC+†66
AVG/OBP/SLG.194 / .273 / .323
PA124
HR3
K%35
BB%8
MLB%0%
BAT: -4.7 runs (wOBA-derived runs vs avg)-5BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.7 runs (Positional adjustment)-1POSREP: +3.5 runs (Replacement-level credit)+4REPTotal WAR: -0.20-0.2WAR
Scouting · nowfuture
HIT
2025
PWR
4247
SPD
4449
EYE
5358
trajectory · 10 yrs
0.4peak
2031

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+0.4$2M+$1.0M
2032Ext / FA-deal$0.9M+0.3$1M+$0.5M
2033Ext / FA-deal$1.0M+0.1$0.5M-$0.5M
2034Ext / FA-deal$0.2M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $4M $-1.0M -$5M
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
202117 ROKDSL Blue Jays 182160 25901 14813 44 .156.237.231.469 .075.289 458 .211 20 -17 -1 +0 -1 +5 -1.4
202218 ROKFCL Blue Jays 2824 6011 4100 10 .250.357.458.815 .208.385 3614 .327 108 +0 +0 +0 -0 +1 0.1
202319 ROKFCL Blue Jays 10698 13401 4573 10 .133.190.204.395 .071.293 544 .169 -12 -13 +0 +0 -1 +3 -1.1
202420 A2 teams 127109 14311 12665 11 .128.246.202.448 .073.302 529 .203 14 -12 -0 +0 -1 +4 -1.0
202521 A2 teams 127116 20603 9552 21 .172.244.302.546 .129.293 437 .244 45 -8 +0 +0 -1 +4 -0.5
▸ 2026 Season
202622 MLBTOR 124110 22413 11432 21 .200.285.336.621 .136.284 359 .272 66 -5 +0 +0 -1 +4 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%TOR 205182 38716 18683 41 .209.291.357.648 .148.285 339 .283 75 -6 +0 +0 -1 +6 -0.1
202824 MLB 26%TOR 311276 591129 281004 61 .214.295.366.661 .152.287 329 .290 80 -7 +1 +0 -2 +9 0.1
202925 MLB 43%TOR 374331 7113211 351185 72 .215.299.366.665 .151.288 329 .295 84 -7 +1 +0 -2 +11 0.2
203026 MLB 58%TOR 415368 7814212 391295 82 .212.296.359.655 .147.288 319 .297 86 -7 +1 +0 -2 +12 0.3
203127 MLB 76%TOR 433384 8215213 411365 82 .214.298.365.662 .151.288 319 .297 86 -7 +1 +0 -3 +12 0.4
203228 MLB 84%TOR 442391 8215213 421396 81 .210.296.358.654 .148.288 3110 .296 85 -8 +1 -1 -3 +13 0.3
203329 MLB 90%TOR 440389 8215213 431405 71 .211.297.360.657 .149.287 3210 .294 83 -8 +1 -1 -3 +12 0.1
203430 MLBTOR 435385 8015212 421405 71 .208.294.351.645 .143.285 3210 .291 81 -9 +1 -2 -3 +12 -0.1
203531 MLBTOR 423374 7714212 411385 60 .206.293.350.643 .144.284 3310 .287 78 -11 +1 -3 -3 +12 -0.3
203632 MLBTOR 407360 7313211 391355 50 .203.290.342.631 .139.282 3310 .283 74 -12 +1 -4 -2 +12 -0.5
203733 MLBTOR 379336 6712210 361284 50 .199.285.336.621 .137.280 349 .277 70 -13 +1 -4 -2 +11 -0.8
203834 MLBTOR 335296 561018 321164 40 .189.277.311.588 .122.278 3510 .271 65 -13 +1 -5 -2 +9 -1.0
▸ Career Totals (MLE all levels + projections)
Career 52934689 94518025140 490179971 8618 .202.287.340.627 .139.289 349 .281 73 -162 +10 -20 -32 +150 -5.4
/ 162G 650576 11622317 602219 112 .201.287.339.625 .137.289 349 .281 73 -20 +1 -2 -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
202117 ROKDSL Blue Jays 182150 391411 24553 44 .260.373.387.760 .127.384 3013 .338 116 +3 -1 +5 0.8
202218 ROKFCL Blue Jays 2822 7011 670 10 .318.464.5451.010 .227.429 2521 .443 197 +3 +0 +1 0.4
202319 ROKFCL Blue Jays 10696 22801 6403 10 .229.295.344.639 .115.375 386 .288 78 -3 +0 +3 0.1
202420 ADunedin Blue Jays 10991 15312 14423 11 .165.296.286.582 .121.271 3913 .273 67 -4 -0 +3 -0.1
202420 ROKFCL Blue Jays 1815 4100 162 00 .267.389.333.722 .067.444 336 .343 120 +0 +0 +1 0.1
202521 ADunedin Blue Jays 11298 26706 12332 11 .265.357.520.878 .255.339 2911 .385 153 +7 -0 +3 1.0
202521 ROKFCL Blue Jays 1515 2100 050 10 .133.133.200.333 .067.200 330 .146 -30 -2 +0 +0 -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
Yeuni Munoz (OGILVIE) 22 20→25 42→47 44→49 58 .194/.273/.323 .129.284 32 35% 8% 66 -0.1
Alexander Canario
2022 · A
22 37→34 51→60 50 37 .200/.246/.359 .159.282 2014 36% 6% 63 -0.8 .212/.272/.410 .198.294 2614 36% 7% 88 +0.9 .209/.277/.424.216.279301336%8%90+0.6
Kevin Padlo
2018 · A
22 36→40 45→55 44→50 48 .184/.270/.312 .128.257 138 32% 10% 62 -0.9 .195/.278/.343 .148.287 158 35% 9% 73 -0.1 .191/.263/.361.170.260211235%8%69-0.3
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Marcus Greene Jr.
2017 · A
22 35 46→50 45→40 40 .185/.251/.313 .128.265 155 35% 7% 53 -1.5 .209/.268/.329 .120.279 134 28% 7% 65 -0.7 .211/.271/.321.110.27512227%7%61-0.4
Jabari Henry
2013 · A
22 42→41 46→55 49→45 44 .212/.273/.344 .133.277 137 28% 7% 70 -0.3 .209/.287/.363 .154.271 176 28% 9% 82 +0.5 .193/.280/.360.167.25120630%10%75-0.0
Tucker Mitchell
2023 · A
22 38 43→50 51→45 35 .183/.259/.287 .104.311 1111 42% 6% 51 -1.7 .198/.263/.310 .112.287 137 34% 6% 58 -1.2 .185/.242/.280.095.26113533%5%38-1.0
Anderson Gomes
2007 · A
22 41→38 43→45 47→50 39 .205/.252/.313 .108.275 109 29% 5% 53 -1.5 .220/.270/.333 .113.292 117 27% 6% 66 -0.6 .223/.275/.335.112.29012526%6%67-0.2
Niko Hulsizer
2019 · A
22 44→30 47→60 51→50 42 .211/.300/.348 .138.322 1512 36% 8% 84 +0.6 .206/.285/.382 .176.328 219 41% 8% 86 +0.8 .193/.269/.393.200.316271245%8%80+0.2
Johan Mieses
2017 · A
22 37→32 51→55 46→50 36 .200/.247/.364 .164.270 199 34% 5% 65 -0.7 .183/.234/.337 .154.257 204 37% 5% 53 -1.5 .194/.269/.375.181.23726731%7%74-0.0
Yusuf Carter
2007 · A
22 37→34 46→50 45→50 35 .194/.240/.317 .122.287 156 37% 5% 49 -1.8 .202/.239/.339 .137.300 1610 37% 5% 54 -1.4 .219/.264/.370.151.296191032%5%70-0.2
Jacob Heyward
2018 · A
22 40 44→50 45→50 40 .197/.265/.313 .116.295 128 36% 7% 59 -1.1 .197/.279/.317 .120.298 1310 35% 9% 67 -0.5 .181/.276/.317.136.26816936%10%63-0.5
Tyler Kolodny
2010 · A
22 40→34 44→45 49→50 40 .200/.267/.320 .119.267 128 29% 6% 63 -0.9 .206/.277/.341 .135.271 149 29% 6% 72 -0.2 .206/.284/.354.148.258171026%5%76+0.0
Sean Coyle
2014 · A
22 36 48→50 54→50 37 .191/.251/.335 .144.272 1614 35% 6% 59 -1.1 .202/.261/.344 .142.302 1713 37% 7% 66 -0.6 .180/.244/.304.124.276151239%7%45-1.1
Joe DeCarlo
2016 · A
22 38 43→50 43→30 44 .184/.274/.291 .106.280 103 35% 9% 59 -1.1 .196/.279/.333 .137.278 162 33% 8% 71 -0.3 .192/.273/.343.151.26318133%8%68-0.3
Kendall Simmons
2023 · A
23 36 47→50 49→50 38 .190/.256/.326 .136.273 1510 35% 6% 59 -1.1 .205/.269/.352 .147.297 179 35% 6% 72 -0.2 .199/.264/.350.151.29018736%6%66-0.2
Rudy van Heydoorn
2010 · A
21 33 41→45 41→50 41 .168/.252/.259 .091.262 98 37% 8% 41 -2.3 .197/.275/.307 .110.307 115 36% 9% 63 -0.9 .204/.303/.338.134.29214232%11%83+0.2
Carlos Dominguez
2022 · A
22 39→27 47→45 49→50 32 .191/.265/.326 .135.316 1511 42% 5% 64 -0.8 .165/.239/.283 .118.350 1512 53% 6% 42 -2.3 .131/.212/.238.107.287151456%6%16-2.1
Alexander Campos
2022 · A
22 43 42→40 46→45 48 .209/.289/.317 .108.281 96 28% 9% 70 -0.3 .221/.304/.311 .090.312 86 29% 9% 75 -0.0 .236/.329/.308.072.3307628%11%83+0.2
Chris Jacobs
2011 · A
22 41 44→55 45→40 39 .202/.257/.317 .115.303 123 36% 7% 56 -1.3 .219/.282/.376 .157.333 203 38% 7% 83 +0.6 .213/.292/.393.180.30125236%8%90+0.7
Chase Strumpf
2021 · A
23 44→35 42→50 49→45 42 .208/.284/.314 .106.302 87 32% 7% 68 -0.5 .197/.289/.340 .143.309 155 38% 9% 77 +0.1 .182/.286/.344.162.28620440%10%74-0.1