Gerlyn PayanoOF DSL Brewers Blue
Age 18 L/L 6'1" / 192 lbs ROK BB +10%HR +7% Svc 0.0 · Ctrl thru 2037 peak 3.1 · 2034
wRC+†50
AVG/OBP/SLG.198 / .262 / .283
PA40
HR0
K%32
BB%7
MLB%0%
BAT: -2.3 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: +1.1 runs (Replacement-level credit)+1REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
3.1peak
2034

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+2.7$26M+$25M
2033Ext / FA-deal$1.0M+2.9$29M+$28M
2034Ext / FA-deal$1.0M+3.1$31M+$30M
2035Ext / FA-deal$6M+3.1$32M+$26M
2036Ext / FA-deal$10M+3.0$32M+$23M
2037Ext / FA-deal$13M+2.7$30M+$17M
Totals $32M $180M +$148M

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
202517 ROKDSL Brewers Blue 2018 2000 181 20 .111.200.111.311 .000.200 405 .161 -19 -3 +0 +0 -0 +1 -0.2
▸ 2026 Season
202618 MLBMIL 4037 6100 3130 10 .162.225.189.414 .027.291 328 .251 50 -2 +0 +0 -0 +1 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202719 MLB 11%MIL 130116 25412 11392 21 .216.295.319.614 .103.306 308 .286 77 -3 +0 +0 -1 +4 -0.0
202820 MLB 28%MIL 282250 591027 26804 72 .236.318.376.694 .140.312 289 .309 95 -2 +1 +0 -2 +8 0.5
202921 MLB 48%MIL 400354 8514311 381095 112 .240.322.390.712 .150.313 2710 .320 103 +1 +1 +0 -2 +11 1.2
203022 MLB 65%MIL 485427 10417315 481297 143 .244.330.403.733 .159.313 2710 .329 110 +5 +2 +0 -3 +14 1.8
203123 MLB 86%MIL 542473 11719417 561418 163 .247.337.412.749 .165.313 2610 .334 114 +9 +2 +0 -3 +15 2.3
203224 MLBMIL 580506 12620419 611498 173 .249.339.417.756 .168.313 2611 .338 117 +11 +2 +0 -3 +16 2.7
203325 MLBMIL 603525 13121420 651548 174 .250.341.419.760 .170.314 2611 .342 120 +13 +2 +0 -4 +17 2.9
203426 MLBMIL 614533 13422421 671579 183 .251.345.426.771 .174.315 2611 .343 121 +14 +2 +0 -4 +17 3.1
203527 MLBMIL 617535 13522421 681589 173 .252.346.426.773 .174.315 2611 .343 121 +15 +2 +0 -4 +17 3.1
203628 MLBMIL 614531 13321421 691599 163 .250.346.424.770 .173.314 2611 .342 120 +14 +2 -1 -4 +17 3.0
203729 MLBMIL 605524 13021420 681588 152 .248.343.418.761 .170.314 2611 .340 118 +13 +2 -1 -4 +17 2.7
203830 MLBMIL 595515 12620419 671578 132 .245.341.410.750 .165.312 2611 .337 116 +11 +2 -2 -4 +17 2.4
203931 MLBMIL 582504 12319419 651568 101 .244.340.411.750 .167.311 2711 .333 113 +9 +2 -3 -3 +16 2.1
204032 MLBMIL 564488 11718417 631548 80 .240.336.398.734 .158.309 2711 .328 110 +6 +2 -4 -3 +16 1.7
204133 MLBMIL 534462 10917316 601507 50 .236.333.390.722 .154.308 2811 .323 105 +3 +1 -4 -3 +15 1.2
204234 MLBMIL 486423 9715314 541416 30 .229.325.378.703 .149.306 2911 .316 100 +0 +1 -5 -3 +14 0.7
204335 MLBMIL 431376 8413311 471295 20 .223.318.362.679 .138.304 3011 .309 94 -3 +0 -6 -3 +12 0.2
204436 MLBMIL 370322 691029 401155 10 .214.311.342.652 .127.302 3111 .300 87 -5 +0 -6 -2 +10 -0.3
▸ Career Totals (MLE all levels + projections)
Career 90947919 191230460279 9772456125 19532 .241.334.401.735 .159.312 2711 .330 110 +106 +26 -31 -55 +258 31.0
/ 162G 650566 13722420 701769 142 .242.335.401.736 .159.314 2711 .330 110 +8 +2 -2 -4 +18 2.2

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
202517 ROKDSL Brewers Blue 2017 3000 261 20 .176.300.176.476 .000.273 3010 .242 44 -1 +0 +1 -0.0

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
Gerlyn Payano (OGILVIE) 18 .198/.262/.283 .085.291 01 32% 7% 50 -0.1
Jason Heyward
2008 · A
18 46→56 41→55 47→50 41 .220/.274/.320 .100.304 77 29% 6% 64 -0.8 .259/.317/.406 .147.307 149 20% 7% 105 +2.1 .255/.348/.438.183.301211422%12%121+3.1
Gregory Polanco
2010 · A
18 43→53 35→60 52→55 44 .202/.266/.269 .067.286 210 28% 7% 47 -1.9 .199/.250/.288 .089.261 718 25% 6% 45 -2.1 .250/.322/.455.204.278241419%9%113+2.3
Franmil Reyes
2013 · A
18 42→52 40→65 50→45 42 .204/.266/.299 .095.285 610 29% 7% 55 -1.4 .208/.259/.302 .094.287 76 28% 6% 53 -1.5 .256/.325/.480.224.31434029%9%126+2.6
Max Kepler
2011 · A
18 46→56 35→60 51→50 42 .215/.262/.278 .063.294 29 27% 6% 46 -2.0 .212/.269/.313 .101.284 86 27% 6% 60 -1.0 .234/.319/.433.200.24824417%10%108+2.2
Mike Moustakas
2008 · A
19 46→54 38→65 50→45 42 .216/.278/.302 .086.300 46 28% 6% 61 -1.0 .223/.263/.373 .150.258 186 21% 4% 74 -0.1 .258/.320/.491.233.26033216%7%121+3.2
Akil Baddoo
2017 · A
18 39→49 39→55 53→55 40 .186/.255/.266 .081.304 611 38% 8% 43 -2.2 .208/.284/.324 .116.290 812 29% 9% 69 -0.4 .232/.314/.375.143.300152426%11%91+0.8
Jackson Merrill
2022 · A
19 45→55 36→55 52→50 39 .211/.260/.286 .076.314 39 32% 6% 48 -1.9 .251/.293/.383 .132.306 1312 22% 5% 88 +0.9 .266/.310/.441.174.301191018%6%107+1.9
Oneil Cruz
2017 · A
18 46→51 37→60 51→55 42 .214/.266/.301 .088.311 211 30% 7% 55 -1.4 .208/.249/.316 .108.314 109 35% 5% 52 -1.6 .241/.304/.442.201.317252231%8%103+1.7
Austin Meadows
2014 · A
19 45→55 43→65 49→55 43 .214/.282/.336 .122.308 106 32% 8% 72 -0.2 .242/.292/.362 .120.310 910 24% 6% 82 +0.5 .255/.336/.495.240.28930823%10%129+2.7
Eloy Jiménez
2016 · A
19 40→50 40→65 49→40 39 .197/.240/.291 .094.269 77 29% 5% 41 -2.3 .251/.286/.404 .153.321 164 26% 4% 91 +1.1 .273/.314/.492.219.31430023%5%125+2.3
Jonathan Aranda
2017 · A
19 43→53 37→55 48→45 43 .204/.265/.282 .078.268 47 24% 6% 50 -1.7 .215/.268/.288 .073.280 39 23% 6% 53 -1.5 .269/.345/.441.173.33920425%8%122+2.7
Rowdy Tellez
2014 · A
19 41→50 39→60 51→45 43 .199/.255/.290 .091.270 65 28% 6% 48 -1.9 .229/.281/.344 .115.286 124 23% 6% 73 -0.1 .249/.317/.464.215.28629124%8%114+1.6
Oscar Taveras
2010 · A
18 42→52 37→55 52→45 46 .200/.256/.285 .085.248 38 20% 6% 46 -2.0 .249/.291/.382 .133.300 117 20% 5% 87 +0.8 .293/.330/.463.170.32616715%4%124+2.0
Dylan Carlson
2017 · A
18 41→51 40→55 48→50 36 .196/.244/.290 .094.305 67 36% 6% 43 -2.2 .207/.277/.319 .112.286 107 29% 8% 66 -0.6 .242/.327/.396.154.29614422%9%105+1.6
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
Anthony Santander
2013 · A
18 45→49 42→65 47→45 39 .217/.275/.326 .110.305 98 31% 6% 66 -0.6 .201/.254/.302 .101.269 97 27% 5% 51 -1.7 .242/.317/.473.231.25731220%9%120+3.4
Jake Bauers
2014 · A
18 44→50 37→60 51→55 42 .211/.260/.284 .073.280 45 25% 5% 48 -1.9 .232/.290/.333 .101.290 96 22% 7% 74 -0.1 .216/.314/.413.198.284251831%12%99+0.9
Victor Arias
2022 · A
18 44→46 38→45 46→50 44 .204/.277/.282 .078.314 69 34% 9% 56 -1.3 .209/.295/.306 .097.329 714 35% 9% 70 -0.3 .219/.297/.335.116.314101831%8%75+0.0
Carlos Correa
2013 · A
18 42→52 40→60 51→55 37 .205/.244/.299 .094.289 68 31% 5% 45 -2.1 .257/.317/.390 .133.320 1113 22% 7% 100 +1.7 .284/.360/.488.204.328241420%10%137+4.4
Steven Souza Jr.
2008 · A
19 37→47 41→60 49→55 38 .182/.248/.279 .096.291 87 38% 7% 43 -2.2 .191/.250/.282 .091.285 814 34% 6% 44 -2.1 .258/.336/.452.194.336232529%10%124+2.2