Nelly TaylorOF Portland Sea Dogs
Age 23 L/L 6'0" / 180 lbs AA Svc 0.0 · Ctrl thru 2034
wRC+†24
AVG/OBP/SLG.177 / .258 / .283
PA320
HR5
SB11
K%37
BB%9
MLB%2%
BAT: -27.3 runs (wOBA-derived runs vs avg)-27BATRUN: +1.1 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.9 runs (Positional adjustment)-2POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -2.00-2.0WAR
Scouting · nowfuture
HIT
3030
PWR
3535
SPD
5555
EYE
5260
trajectory · 10 yrs
-0.9peak
2030

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
2034Ext / FA-deal$0.6M
Totals $-12M $-35M -$23M
Underwater contract
Projected production over the remaining contract is worth -$23M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
202421 A2 teams 475431 751837 391742 3310 .174.246.278.524 .104.269 378 .231 35 -35 +3 +0 -3 +13 -2.2
202522 A+2 teams 518459 701736 502004 3612 .153.242.242.484 .089.248 3910 .221 27 -43 +2 +0 -3 +15 -2.9
▸ 2026 Season (actual · ROS · total)
202623 AAPortland Sea Dogs 5046 3100 2271 20 .065.122.087.209 .022.150 544 .121 -49 -8 +0 +0 -0 +1 -0.7
ROS23 MLBBOS 270243 401014 231062 93 .165.243.263.506 .099.268 399 .235 38 -19 +1 +0 -2 +8 -1.3
TOT23 MLBBOS 320289 431114 251333 113 .149.224.235.459 .087.253 428 .217 24 -27 +1 +0 -2 +9 -2.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 11%BOS 524467 842029 481664 165 .180.262.289.551 .109.254 329 .255 53 -28 +1 +0 -3 +15 -1.5
202825 MLB 26%BOS 554492 9321311 521715 165 .189.273.311.584 .122.258 319 .263 60 -25 +1 +0 -3 +16 -1.2
202926 MLB 44%BOS 571507 9722312 541745 154 .191.276.318.593 .126.260 309 .268 63 -24 +1 +0 -3 +16 -1.0
203027 MLB 59%BOS 576511 9822312 551755 144 .192.277.317.594 .125.261 3010 .270 64 -23 +1 +0 -3 +16 -0.9
203128 MLB 69%BOS 575510 9822312 551765 134 .192.277.318.595 .125.260 3110 .268 64 -24 +1 -1 -3 +16 -1.1
203229 MLB 86%BOS 568503 9521212 551755 123 .189.275.310.585 .121.259 3110 .266 62 -24 +1 -1 -3 +16 -1.2
203330 MLBBOS 559495 9221211 541745 113 .186.273.303.576 .117.258 3110 .263 60 -25 +1 -2 -3 +16 -1.4
203431 MLBBOS 546484 8820210 531724 92 .182.268.293.561 .112.256 3210 .259 57 -27 +1 -3 -3 +15 -1.7
203532 MLBBOS 528468 841929 511704 81 .179.266.286.552 .107.254 3210 .255 53 -28 +1 -4 -3 +15 -1.9
203633 MLBBOS 499444 771728 481644 71 .173.260.275.535 .101.252 3310 .250 49 -29 +1 -4 -3 +14 -2.1
203734 MLBBOS 452403 691527 431523 60 .171.256.270.527 .099.250 3410 .243 44 -28 +1 -5 -3 +13 -2.2
▸ Career Totals (MLE all levels + projections)
Career 72156417 116026533130 680234957 20557 .181.265.293.558 .112.259 339 .255 53 -381 +18 -20 -43 +204 -22.6
/ 162G 650578 10524312 612125 185 .182.266.296.561 .114.260 339 .255 53 -34 +2 -2 -4 +18 -2.0

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
202421 A+Greenville Drive 4138 11212 3130 21 .289.341.553.894 .263.391 327 .387 154 +3 +0 +1 0.4
202421 ASalem Red Sox 434369 842436 601062 319 .228.339.358.696 .130.300 2414 .317 101 +0 +3 +12 1.6
202522 A+Greenville Drive 473384 832437 811334 2912 .216.358.349.707 .133.306 2817 .326 107 +4 +1 +13 1.9
202522 INTLSalt River Rafters 4536 5000 8190 70 .139.295.139.434 .000.278 4218 .225 30 -4 +1 +1 -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
Nelly Taylor (OGILVIE) 23 30 35 55 60 .177/.258/.283 .106.279 510 37% 9% 49 -0.9
Izzy Wilson
2021 · A
23 39→32 41→50 52→55 38 .182/.249/.280 .098.312 915 42% 8% 44 -2.1 .202/.266/.350 .148.304 1921 38% 8% 69 -0.4 .188/.253/.344.156.267222537%8%59-0.6
Cam Gibson
2017 · A
23 38→41 41→45 53→55 41 .189/.248/.285 .096.268 916 32% 7% 44 -2.1 .197/.260/.311 .114.269 1017 29% 7% 56 -1.3 .193/.260/.305.112.262101929%7%52-1.2
Estee Harris
2008 · A
23 35→30 41→50 49→50 36 .178/.225/.274 .096.274 913 38% 6% 31 -3.0 .215/.262/.336 .121.370 1212 42% 5% 63 -0.8 .212/.254/.349.137.373141445%4%59-0.4
Ramiro Rodriguez
2021 · AA
23 42 40 50 50 .204/.287/.297 .093.275 818 27% 10% 64 -0.8 .198/.261/.293 .095.307 911 36% 7% 52 -1.6 .146/.208/.211.065.2387840%6%5-1.2
Brian Pointer
2015 · A
23 39→41 44→45 49→50 40 .192/.266/.307 .115.289 1113 36% 7% 59 -1.1 .214/.286/.346 .132.318 1411 34% 8% 76 +0.1 .211/.286/.358.146.306161034%9%75-0.0
Michael Siani
2022 · A
23 39→44 39→45 55→60 42 .190/.257/.273 .083.272 725 31% 7% 45 -2.1 .206/.276/.312 .106.273 1030 27% 8% 63 -0.8 .207/.278/.306.099.269103326%8%60-0.8
Cole Roederer
2022 · A
22 40→33 41→45 50 44 .196/.269/.293 .097.285 812 32% 8% 56 -1.3 .202/.266/.324 .122.299 1311 35% 7% 63 -0.9 .179/.252/.298.118.265141136%8%49-1.0
Aaron Knapp
2018 · A
23 39→35 38→30 52→55 39 .186/.249/.258 .071.290 619 36% 7% 37 -2.6 .195/.273/.264 .069.298 519 33% 9% 50 -1.8 .188/.276/.247.059.28642132%11%45-1.2
Hayden Cantrelle
2022 · AA
23 35 41→45 54→55 54 .169/.297/.268 .099.266 823 35% 14% 64 -0.8 .189/.306/.297 .108.297 820 34% 13% 74 -0.1 .191/.310/.302.111.29992134%12%74-0.0
Brenden Webb
2013 · A
23 39→37 44→45 49→50 45 .187/.275/.304 .117.294 1110 37% 10% 62 -0.9 .180/.248/.290 .110.299 1110 41% 7% 46 -2.0 .166/.220/.264.098.274101042%6%25-2.2
Justin Farmer
2023 · A
24 39→33 44→40 54→55 51 .190/.295/.305 .115.292 1219 36% 12% 71 -0.3 .186/.265/.277 .091.307 819 38% 9% 50 -1.7 .159/.224/.221.061.27552241%7%15-2.3
Caleb Roberts
2023 · AA
23 40→43 42→50 50 42 .194/.271/.297 .103.298 912 36% 8% 58 -1.2 .202/.279/.332 .130.296 1211 33% 8% 70 -0.3 .195/.272/.328.134.276131032%8%64-0.6
Jacob Wetzel
2023 · A
23 39→34 44→45 50 45 .197/.277/.309 .111.273 1210 31% 8% 63 -0.8 .192/.266/.304 .112.282 1013 33% 8% 57 -1.2 .182/.255/.299.117.27381634%8%48-0.9
Donta' Williams
2023 · A
24 43→32 39→40 56→55 47 .203/.285/.294 .091.294 620 30% 9% 63 -0.9 .186/.272/.271 .085.286 620 34% 9% 52 -1.6 .163/.253/.236.073.25552035%9%33-1.2
Travis Swaggerty
2021 · A
23 43→45 40→45 50→55 44 .206/.271/.299 .093.295 814 31% 8% 57 -1.2 .214/.279/.329 .115.301 1018 30% 8% 69 -0.4 .209/.277/.321.112.30982032%8%62-0.4
Jackson Cluff
2021 · A
24 40→29 42→45 51→55 40 .197/.258/.305 .108.275 1012 31% 6% 54 -1.4 .182/.252/.277 .095.281 812 36% 6% 45 -2.1 .181/.273/.314.132.266142835%10%61-0.6
Johan Lopez
2023 · AA
23 39 44→45 51→55 40 .195/.268/.308 .113.290 1213 35% 7% 59 -1.1 .200/.270/.300 .100.307 912 35% 8% 58 -1.2 .166/.253/.240.073.27641137%10%33-0.6
Chris Grayson
2013 · A
23 40→36 43→45 56→50 42 .198/.257/.312 .114.266 919 29% 6% 55 -1.4 .194/.257/.292 .098.263 816 28% 7% 50 -1.7 .185/.252/.273.088.25161527%7%42-1.5
Braulio Vasquez
2022 · A
23 40 40 54→65 40 .192/.269/.282 .090.299 828 36% 7% 53 -1.5 .216/.284/.315 .099.302 727 29% 7% 67 -0.5 .225/.290/.320.095.30443225%7%66-0.3
Jonny Butler
2022 · A
23 44→33 40→50 50→55 42 .208/.269/.298 .090.302 79 32% 7% 56 -1.3 .200/.265/.310 .110.283 915 31% 7% 58 -1.2 .175/.253/.291.117.236101829%8%46-1.1