Jayson BassOF Fort Myers Mighty Mussels
Age 20 S/R 5'11" / 165 lbs A BB +3% Svc 0.0 · Ctrl thru 2036 peak 1.6 · 2032
wRC+†37
AVG/OBP/SLG.213 / .284 / .338
PA93
HR2
K%28
BB%8
MLB%0%
BAT: -6.6 runs (wOBA-derived runs vs avg)-7BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.6 runs (Positional adjustment)-1POSREP: +2.6 runs (Replacement-level credit)+3REPTotal WAR: -0.50-0.5WAR
Scouting · nowfuture
HIT
2631
PWR
3540
SPD
5358
EYE
4550
trajectory · 10 yrs
1.6peak
2032

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+1.5$14M+$13M
2032Ext / FA-deal$0.9M+1.6$15M+$14M
2033Ext / FA-deal$1.0M+1.6$16M+$15M
2034Ext / FA-deal$3M+1.5$15M+$12M
2035Ext / FA-deal$4M+1.3$14M+$9M
2036Ext / FA-deal$5M+1.1$12M+$6M
Totals $16M $86M +$70M

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 Twins 170151 35411 14353 127 .232.310.291.601 .060.291 218 .265 61 -7 -0 +0 -1 +5 -0.4
202418 ROK2 teams 196184 34521 11610 86 .185.231.250.481 .065.268 316 .217 24 -17 -1 +0 -1 +6 -1.3
202519 ROK2 teams 8678 14311 6351 71 .179.247.282.529 .103.302 417 .222 28 -7 +1 +0 -1 +2 -0.4
▸ 2026 Season (actual · ROS · total)
202620 AFort Myers Mighty Mussels 6155 7201 5261 32 .127.213.218.431 .091.214 438 .214 22 -5 -0 +0 -0 +2 -0.4
ROS20 MLBMIN 3229 6101 3100 10 .207.281.345.626 .138.277 319 .273 67 -1 +0 +0 -0 +1 -0.0
TOT20 MLBMIN 9384 13302 8361 42 .155.237.262.498 .107.239 399 .234 37 -7 +0 +0 -1 +3 -0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%MIN 199177 39815 18472 52 .220.299.362.661 .141.265 249 .297 86 -3 +0 +0 -1 +6 0.1
202822 MLB 28%MIN 325287 6613210 31744 83 .230.314.394.707 .164.267 2310 .308 94 -2 +0 +0 -2 +9 0.5
202923 MLB 48%MIN 409361 8316213 40915 103 .230.315.393.709 .163.269 2210 .314 99 -1 +1 +0 -2 +12 0.9
203024 MLB 62%MIN 467413 9518215 461025 124 .230.315.392.707 .162.270 2210 .319 102 +1 +1 +0 -3 +13 1.3
203125 MLB 80%MIN 499439 10119216 511096 124 .230.319.392.710 .162.270 2210 .322 104 +2 +1 +0 -3 +14 1.5
203226 MLB 94%MIN 517453 10620317 531126 124 .234.322.404.726 .170.271 2210 .323 106 +3 +1 +0 -3 +15 1.6
203327 MLBMIN 523457 10720317 551146 124 .234.324.403.727 .168.271 2211 .323 106 +3 +1 +0 -3 +15 1.6
203428 MLBMIN 523457 10520217 551156 124 .230.320.394.714 .164.270 2211 .322 105 +3 +1 -1 -3 +15 1.5
203529 MLBMIN 516450 10420217 551156 113 .231.323.398.721 .167.269 2211 .320 103 +2 +1 -1 -3 +15 1.3
203630 MLBMIN 507442 10019216 541156 113 .226.319.387.706 .161.268 2311 .317 101 +0 +1 -2 -3 +14 1.1
203731 MLBMIN 494434 9618215 521145 92 .221.312.376.687 .154.266 2311 .313 98 -1 +1 -3 -3 +14 0.8
203832 MLBMIN 477419 9217214 501135 92 .220.310.370.680 .150.265 2410 .309 94 -3 +1 -4 -3 +14 0.5
203933 MLBMIN 448393 8616213 471095 82 .219.310.369.679 .150.263 2410 .303 90 -5 +1 -4 -3 +13 0.2
204034 MLBMIN 402353 7514211 421014 71 .212.303.357.660 .144.261 2510 .296 85 -7 +1 -5 -2 +11 -0.2
204135 MLBMIN 348306 621119 36913 71 .203.293.333.626 .131.258 2610 .288 79 -8 +1 -6 -2 +10 -0.5
▸ Career Totals (MLE all levels + projections)
Career 71386283 140626234209 719166378 17356 .224.311.376.687 .152.269 2310 .308 94 -48 +12 -25 -43 +202 10.1
/ 162G 650572 12824319 651517 165 .224.310.376.686 .152.269 2310 .308 94 -4 +1 -2 -4 +18 0.9

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 Twins 170143 44511 22243 127 .308.411.378.788 .070.358 1413 .360 133 +6 -0 +5 1.1
202418 ROKFCL Twins 174156 43721 17360 85 .276.347.365.712 .090.350 2110 .322 105 +1 -0 +5 0.6
202418 INTLCaneros de los Mochis 2221 3000 170 01 .143.182.143.325 .000.214 325 .155 -23 -3 -0 +1 -0.3
202519 AFort Myers Mighty Mussels 2424 3000 090 10 .125.125.125.250 .000.200 380 .113 -55 -4 +0 +1 -0.3
202519 ROKFCL Twins 6251 16411 9151 61 .314.426.490.916 .176.417 2415 .402 165 +5 +1 +2 0.7

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
Jayson Bass (OGILVIE) 20 26→31 35→40 53→58 50 .213/.284/.338 .125.284 22 28% 8% 74 -0.0
Carlos Jimenez
2022 · A
19 39→41 42→50 53→55 44 .191/.270/.293 .102.283 1011 34% 8% 56 -1.3 .199/.283/.318 .119.317 1115 37% 9% 69 -0.4 .216/.296/.349.133.314151933%9%78+0.1
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
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
Luis Alexander Basabe
2017 · A
20 42→41 44→45 55→50 40 .207/.258/.330 .123.287 1015 31% 6% 59 -1.1 .195/.252/.299 .104.298 914 35% 7% 50 -1.8 .189/.259/.295.106.303111439%8%49-1.0
Abraham Almonte
2009 · A
20 39→49 42→55 52→55 45 .194/.252/.299 .105.252 919 26% 7% 50 -1.8 .220/.264/.315 .095.289 620 25% 5% 57 -1.2 .232/.330/.424.192.279221124%12%111+1.5
Zack Larson
2014 · A
20 46→37 41→45 53→50 41 .221/.280/.317 .096.294 812 27% 6% 66 -0.6 .205/.260/.273 .068.276 310 25% 6% 46 -2.0 .186/.243/.235.049.25211025%6%28-1.8
Efrain Contreras
2007 · A
20 44 41→45 51→55 44 .212/.278/.308 .097.264 88 22% 6% 63 -0.8 .227/.291/.336 .109.276 1014 21% 6% 76 +0.0 .227/.291/.331.104.281101522%5%72-0.1
Cole Roederer
2021 · A
21 38→33 43→45 51→50 43 .192/.259/.300 .108.274 1113 33% 8% 53 -1.5 .205/.268/.319 .114.301 1212 34% 7% 62 -0.9 .179/.252/.298.118.265141136%8%49-1.0
Johan Mieses
2016 · A
21 41→32 45→55 53→50 39 .208/.253/.334 .126.273 1215 28% 5% 59 -1.1 .188/.236/.349 .161.267 205 37% 5% 56 -1.3 .194/.269/.375.181.23726731%7%74-0.0
Allan Castro
2023 · A
20 38→43 40→45 54→50 40 .186/.249/.285 .099.276 68 33% 6% 44 -2.1 .202/.269/.315 .113.278 912 29% 8% 61 -1.0 .202/.273/.316.115.271101428%8%60-0.8
Jasson Domínguez
2023 · AA
20 43→53 46→50 56→60 43 .209/.282/.339 .129.315 1319 36% 8% 73 -0.1 .236/.308/.376 .140.328 1627 30% 9% 93 +1.3 .249/.323/.390.141.333163328%10%99+1.2
Jose Meza
2023 · A
20 41→35 41→45 47→50 40 .199/.265/.295 .096.286 910 32% 6% 55 -1.4 .204/.294/.305 .101.301 98 32% 10% 70 -0.3 .186/.292/.283.097.27791033%11%63-0.5
Akil Baddoo
2019 · A
20 42→51 43→55 56→55 48 .206/.282/.325 .120.283 913 29% 9% 69 -0.4 .212/.283/.340 .128.306 1116 32% 9% 73 -0.1 .232/.314/.375.143.300152426%11%91+0.8
Sean Coyle
2013 · A
21 37→36 45→50 54→50 38 .192/.253/.319 .127.271 1213 33% 6% 56 -1.3 .204/.262/.355 .151.295 1814 36% 6% 69 -0.4 .197/.258/.362.165.284221538%7%67-0.3
Ronarsy Ledesma
2012 · A
19 42 42→45 47→50 43 .205/.277/.309 .104.271 98 27% 6% 64 -0.8 .224/.284/.326 .102.290 511 24% 5% 70 -0.3 .226/.280/.337.111.29161123%4%69-0.2
Brian Pointer
2012 · A
20 42→41 44→45 55→50 38 .205/.259/.326 .122.303 1110 35% 6% 59 -1.1 .187/.255/.299 .112.286 1012 36% 7% 52 -1.6 .192/.271/.313.121.285121334%8%58-0.8
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
Abraham Toro
2018 · A
21 39→49 43→50 51→45 45 .198/.258/.308 .109.244 116 24% 7% 54 -1.4 .218/.285/.365 .147.272 156 25% 7% 82 +0.5 .233/.307/.387.155.27716622%8%93+1.1
Travis Blankenhorn
2018 · A
21 42→43 45→55 54→50 40 .209/.270/.337 .128.288 128 31% 6% 67 -0.5 .208/.259/.341 .133.291 148 32% 5% 63 -0.8 .211/.283/.380.168.27621631%8%81+0.3
William Beckwith
2011 · A
20 44→42 41→50 52→50 47 .213/.283/.313 .100.277 89 25% 8% 66 -0.6 .217/.281/.363 .146.284 1710 29% 6% 79 +0.3 .207/.272/.362.155.271191130%6%74-0.0