Samuel Munoz1B Great Lakes Loons
Age 21 L/R 6'2" / 190 lbs A+ HR +15%K -3% Svc 0.0 · Ctrl thru 2035 peak 0.4 · 2031
wRC+†57
AVG/OBP/SLG.204 / .279 / .321
PA320
HR6
SB6
K%29
BB%9
MLB%0%
BAT: -15.4 runs (wOBA-derived runs vs avg)-15BATRUN: -0.2 runs (SB/CS + UBR baserunning)-0RUNFLD: -0.8 runs (Defensive runs vs avg)-1FLDPOS: -5.7 runs (Positional adjustment)-6POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -1.30-1.3WAR
Scouting · nowfuture
HIT
3555
PWR
3050
SPD
4040
FLD
3050
EYE
5350
trajectory · 10 yrs
0.6peak
2031

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+0.3$1M+$0.5M
2031Arb-3$0.9M+0.4$2M+$1.0M
2032Ext / FA-deal$0.9M+0.4$2M+$1.0M
2033Ext / FA-deal$0.4M+0.2$1.0M+$0.6M
2034Ext / FA-deal$5M+0.1$0.5M-$5M
2035Ext / FA-deal$0.6M
Totals $9M $6M -$3M
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
202217 ROKDSL LAD Mega 210185 49831 14524 45 .265.330.357.687 .092.345 257 .299 87 -3 -1 +0 -4 +6 -0.2
202318 ROKACL Dodgers 240224 45651 13591 92 .201.248.286.534 .085.265 255 .240 42 -16 +1 +0 -4 +7 -1.3
202419 ARancho Cucamonga Quakes 385346 611234 291092 63 .176.244.263.507 .087.237 288 .228 33 -29 +0 +0 -7 +11 -2.6
202520 A2 teams 521456 8412310 521544 226 .184.273.289.563 .105.246 3010 .257 55 -27 +2 +0 -9 +15 -2.0
▸ 2026 Season (actual · ROS · total)
202621 A+Great Lakes Loons 3027 4100 390 11 .148.233.185.419 .037.222 3010 .172 -10 -4 -0 +0 -1 +1 -0.4
ROS21 MLBLAD 290260 52925 26832 52 .200.278.308.585 .108.272 299 .270 64 -12 +0 -1 -5 +8 -0.9
TOT21 MLBLAD 320287 561025 29922 63 .195.274.296.570 .101.267 299 .260 57 -15 +0 -1 -6 +9 -1.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%LAD 565503 10819413 541433 114 .215.295.346.641 .131.269 2510 .289 79 -13 +1 -2 -10 +16 -0.8
202823 MLB 28%LAD 610541 12021416 601504 124 .222.304.364.668 .142.272 2510 .300 88 -8 +1 -2 -11 +17 -0.3
202924 MLB 45%LAD 640567 12722418 641544 124 .224.307.372.679 .148.274 2410 .307 93 -5 +1 -2 -11 +18 0.0
203025 MLB 60%LAD 657580 13223419 671575 124 .228.313.379.692 .152.275 2410 .311 96 -3 +1 -2 -12 +19 0.3
203126 MLB 78%LAD 664585 13323420 691585 114 .227.314.383.697 .156.276 2410 .312 97 -2 +1 -2 -12 +19 0.4
203227 MLB 92%LAD 665585 13323420 701595 113 .227.315.383.698 .156.276 2411 .313 97 -2 +1 -2 -12 +19 0.4
203328 MLBLAD 660580 13123419 701595 93 .226.315.378.692 .152.276 2411 .312 97 -3 +1 -3 -12 +19 0.2
203429 MLBLAD 650572 12922419 691594 82 .226.313.378.691 .152.275 2411 .310 95 -4 +1 -3 -12 +18 0.1
203530 MLBLAD 640563 12521418 681594 72 .222.310.369.680 .147.274 2511 .307 93 -5 +1 -4 -11 +18 -0.2
203631 MLBLAD 625549 12020417 671574 41 .219.308.362.671 .144.273 2511 .303 90 -7 +0 -5 -11 +18 -0.5
203732 MLBLAD 607534 11519416 641564 30 .215.304.356.660 .140.271 2611 .298 87 -9 +1 -5 -11 +17 -0.8
203833 MLBLAD 577508 10818315 611523 20 .213.301.348.649 .136.270 2611 .293 83 -11 +0 -6 -10 +16 -1.1
203934 MLBLAD 529465 9716313 561443 10 .209.298.340.637 .131.269 2711 .287 78 -13 +0 -6 -9 +15 -1.4
▸ Career Totals (MLE all levels + projections)
Career 97358603 186931766244 973246466 14949 .217.302.355.656 .137.273 2510 .295 84 -173 +10 -44 -174 +276 -10.6
/ 162G 650574 12421416 651654 103 .216.300.350.650 .134.272 2510 .295 84 -12 +1 -3 -12 +18 -0.7

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 LAD Mega 210173 601251 26344 45 .347.443.491.935 .145.407 1612 .403 167 +16 -1 +6 2.1
202318 ROKACL Dodgers 240216 591072 21411 92 .273.340.412.752 .139.326 179 .333 113 +4 +1 +7 1.2
202419 ARancho Cucamonga Quakes 385336 771545 39792 63 .229.313.342.655 .113.277 2110 .293 82 -8 +0 +11 0.3
202520 A+Great Lakes Loons 7060 11101 10140 40 .183.300.250.550 .067.222 2014 .264 60 -3 +1 +2 -0.0
202520 ARancho Cucamonga Quakes 451375 9316611 631004 186 .248.362.411.773 .163.300 2214 .342 120 +10 +1 +13 2.5

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
Samuel Munoz (OGILVIE) 21 35→55 30→50 40 50 .204/.279/.321 .116.275 66 29% 9% 68 -0.3
Jake Bauers
2017 · AA
21 48→50 44→60 43→55 49 .237/.298/.355 .119.283 127 21% 8% 83 +0.6 .226/.303/.362 .136.283 1413 24% 9% 88 +0.9 .216/.314/.413.198.284251831%12%99+0.9
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
Xavier Paul
2006 · A
21 45→55 43→50 40→55 40 .214/.276/.328 .113.320 105 34% 7% 67 -0.5 .242/.291/.359 .117.342 1113 31% 6% 81 +0.4 .264/.314/.384.120.352101827%6%94+0.8
Rowdy Tellez
2016 · A
21 45→50 44→60 46→45 43 .227/.275/.340 .113.281 125 24% 6% 69 -0.4 .230/.283/.360 .130.286 145 24% 6% 79 +0.3 .249/.317/.464.215.28629124%8%114+1.6
Owen Caissie
2023 · A
21 46→52 44→55 44→45 42 .213/.285/.329 .116.337 128 38% 9% 72 -0.2 .229/.302/.382 .153.355 178 37% 9% 92 +1.2 .232/.307/.401.170.34819736%9%96+1.3
Imanol Vargas
2019 · A
21 42→44 40→55 45 51 .201/.293/.296 .095.290 79 31% 11% 67 -0.5 .207/.286/.346 .139.312 157 36% 9% 76 +0.1 .200/.288/.364.164.31621240%10%79+0.2
Grant Lavigne
2021 · A
21 41→47 39→45 42→45 43 .200/.269/.281 .082.282 78 30% 8% 53 -1.5 .208/.282/.309 .101.317 95 34% 8% 65 -0.7 .205/.286/.317.112.30711434%9%66-0.5
Enmanuel Valdez
2021 · A
22 39→46 42→60 46→45 40 .197/.250/.302 .104.268 109 30% 6% 50 -1.8 .217/.274/.390 .173.270 228 28% 7% 83 +0.6 .224/.290/.404.180.26824826%8%90+0.8
Bryan Byrne
2006 · A
22 44→54 40→45 42→40 47 .211/.284/.303 .092.289 65 28% 9% 64 -0.8 .247/.319/.354 .107.308 103 21% 9% 92 +1.2 .263/.336/.377.114.31811220%9%102+1.7
Roman Pena
2008 · A
21 43→53 41→50 44→45 39 .205/.268/.305 .100.312 95 35% 6% 58 -1.2 .200/.254/.304 .104.288 107 32% 6% 52 -1.6 .233/.303/.392.159.31216729%9%92+0.8
Jack Suwinski
2019 · A
21 40→41 41→60 47→50 41 .198/.255/.292 .094.272 86 29% 6% 49 -1.8 .193/.259/.320 .127.287 146 35% 8% 59 -1.1 .210/.307/.421.211.281281034%11%102+1.6
Michaelangel Trinidad
2009 · A
20 41 41→60 44→40 46 .199/.286/.300 .101.282 94 30% 9% 66 -0.6 .218/.276/.379 .161.265 204 26% 6% 82 +0.5 .222/.283/.422.200.24929025%6%98+0.6
Jon Waltenbury
2009 · A
21 46→42 45→55 42→40 44 .227/.280/.356 .129.288 123 25% 6% 76 +0.1 .214/.264/.306 .092.285 74 26% 6% 56 -1.3 .199/.250/.267.068.2665226%6%37-2.0
Ademar Rifaela
2016 · A
21 41→45 41→50 41→45 44 .203/.265/.302 .099.271 85 27% 7% 56 -1.3 .211/.256/.342 .131.296 155 33% 5% 63 -0.9 .219/.266/.351.133.31514334%5%66-0.4
Erik Komatsu
2010 · A
22 45→55 44→45 44→50 45 .224/.281/.340 .116.267 116 21% 6% 72 -0.2 .255/.319/.357 .102.300 715 16% 8% 92 +1.2 .262/.330/.361.098.30371715%8%95+1.0
Wilmer Oberto
2014 · A
21 42 44→50 45 44 .208/.277/.323 .115.263 115 25% 6% 67 -0.5 .206/.258/.315 .109.291 104 31% 6% 56 -1.3 .165/.205/.271.106.24411036%5%20-1.0
Chris Parmelee
2008 · A
20 39→49 46→50 45 39 .197/.254/.326 .129.287 146 35% 7% 58 -1.2 .208/.282/.349 .141.290 154 32% 9% 76 +0.0 .250/.315/.397.146.29516120%8%100+1.7
Bryan De La Cruz
2018 · AA
21 42→52 39→55 43→45 41 .201/.256/.288 .087.285 75 31% 6% 48 -1.9 .227/.279/.316 .089.315 58 28% 6% 64 -0.8 .256/.303/.416.160.31419424%6%99+1.4
Andrew Pullin
2015 · A
21 46 41→50 40 41 .227/.272/.320 .092.286 95 24% 5% 63 -0.9 .235/.272/.356 .121.286 133 22% 4% 72 -0.2 .239/.276/.380.140.28515221%4%77+0.1
Austin Gallagher
2010 · A
21 47→49 40→45 39→30 43 .226/.271/.323 .097.291 73 25% 6% 63 -0.9 .234/.289/.346 .112.296 112 23% 7% 77 +0.1 .234/.299/.360.125.29014123%8%82+0.4