Carson Taylor1B Tacoma Rainiers
Age 27 L/R 5'11" / 205 lbs AAA HR +3% Svc 0.0 · Ctrl thru 2033
wRC+†71
AVG/OBP/SLG.222 / .305 / .361
PA250
HR7
K%27
BB%10
MLB%10%
BAT: -8.3 runs (wOBA-derived runs vs avg)-8BATRUN: -0.6 runs (SB/CS + UBR baserunning)-1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -4.5 runs (Positional adjustment)-4POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.60-0.6WAR
Scouting · nowfuture
HIT
3838
PWR
4545
SPD
4545
EYE
5656
trajectory · 10 yrs
0.0peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2028
Service   0 yrs (est)
Team Control Through   2033
First FA Year   2034
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2028
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$0.8M
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Arb-3$0.2M
2032Ext / FA-deal$0.4M
2033Ext / FA-deal$0.6M
Totals $-7M $-19M -$12M

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
202122 A+2 teams 380340 831619 34931 10 .244.315.376.691 .132.305 249 .303 90 -4 +0 +0 -7 +11 -0.0
202223 AATulsa Drillers 303277 60903 21894 00 .217.281.282.563 .065.306 297 .255 53 -16 +0 +0 -5 +9 -1.3
202324 AATulsa Drillers 281258 46418 22801 10 .178.246.295.540 .116.224 288 .243 44 -18 +0 +0 -5 +8 -1.5
202425 AA2 teams 477414 10113313 501287 51 .244.335.384.720 .140.315 2710 .315 100 -0 +1 +0 -9 +14 0.5
▸ 2026 Season (actual · ROS · total)
202627 AAATacoma Rainiers 6357 11101 5190 01 .193.258.263.521 .070.263 308 .227 32 -5 -0 +0 -1 +2 -0.5
ROS27 MLBSEA 187165 37515 18512 21 .224.308.358.666 .133.284 2710 .295 84 -3 +0 +0 -3 +5 -0.2
TOT27 MLBSEA 250222 48616 23702 22 .216.296.333.629 .117.284 289 .278 71 -8 -0 +0 -4 +7 -0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 20%SEA 333294 671029 33783 31 .228.312.367.679 .139.274 2310 .302 89 -4 +0 -1 -6 +9 -0.1
202829 MLB 33%SEA 352311 701029 35843 31 .225.309.357.666 .132.275 2410 .302 89 -4 +0 -1 -6 +10 -0.2
202930 MLB 43%SEA 363321 7311210 36873 31 .227.311.368.679 .140.274 2410 .300 88 -5 +0 -2 -6 +10 -0.3
203031 MLB 52%SEA 358317 691019 35873 21 .218.301.341.642 .123.273 2410 .297 85 -6 +0 -3 -6 +10 -0.5
203132 MLB 70%SEA 345305 671019 34863 12 .220.304.348.652 .128.272 2510 .292 82 -7 -1 -4 -6 +10 -0.8
203233 MLB 87%SEA 318281 60917 31813 13 .214.298.327.626 .114.270 2510 .287 78 -8 -1 -4 -6 +9 -1.0
203334 MLBSEA 277246 51716 27732 14 .207.291.317.608 .110.269 2610 .280 73 -9 -1 -5 -5 +8 -1.2
▸ Career Totals (MLE all levels + projections)
Career 39743529 7841141697 376101735 2315 .222.303.346.649 .124.281 269 .291 81 -85 -1 -20 -71 +113 -6.5
/ 162G 650577 12919316 611666 42 .224.304.350.654 .127.283 269 .291 81 -14 +0 -3 -12 +18 -1.0

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
202122 A+Great Lakes Loons 342291 811619 45631 10 .278.377.433.810 .155.321 1813 .359 133 +13 +0 +10 2.3
202122 INTLGlendale Desert Dogs 3837 11002 190 00 .297.316.459.775 .162.346 243 .342 120 +1 +0 +1 0.2
202223 AATulsa Drillers 303269 681104 29674 00 .253.334.338.673 .086.322 2210 .309 95 -2 +0 +9 0.7
202324 AATulsa Drillers 281249 555110 31641 10 .221.310.369.679 .149.257 2311 .308 94 -2 +0 +8 0.6
202425 AAALehigh Valley IronPigs 2719 6000 622 00 .316.519.316.834 .000.353 722 .411 172 +2 +0 +1 0.3
202425 AAReading Fightin Phils 450372 10316316 67965 51 .277.394.465.859 .188.327 2115 .379 148 +25 +1 +13 3.9

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
Carson Taylor (OGILVIE) 27 38 45 45 56 .222/.305/.361 .138.287 73 27% 10% 89 +0.4
Nick Maton
2023 · MLB
26 44→41 47→50 48→45 47 .217/.294/.358 .141.288 137 28% 9% 83 +0.6 .217/.305/.366 .149.274 175 26% 10% 90 +1.0 .205/.305/.354.149.25318326%11%84+0.3
Darick Hall
2022 · AAA
27 39→38 48→55 42→40 44 .203/.278/.351 .149.262 164 28% 7% 76 +0.0 .223/.279/.403 .180.271 244 27% 6% 89 +1.0 .220/.275/.394.174.26325327%6%82+0.4
Matt Skole
2016 · AAA
27 39 47→50 44→40 47 .203/.277/.337 .134.268 164 30% 9% 71 -0.3 .200/.265/.347 .147.255 183 28% 8% 68 -0.5 .186/.263/.326.140.24717131%9%60-0.7
Larry Broadway
2008 · AAA
27 45→48 49→50 49→40 45 .229/.287/.377 .148.291 165 27% 7% 85 +0.7 .223/.279/.352 .129.296 135 28% 7% 75 -0.0 .216/.270/.337.120.28912228%6%66-0.4
Mike Papi
2019 · AAA
26 44→47 46→45 45 49 .220/.298/.347 .127.290 135 28% 9% 82 +0.5 .217/.284/.324 .107.302 97 29% 8% 69 -0.4 .167/.226/.209.042.2480030%6%12-0.7
Nicky Delmonico
2019 · MLB
27 46→47 50→55 46→45 48 .234/.302/.391 .157.283 175 24% 8% 95 +1.4 .223/.290/.360 .137.287 146 26% 8% 82 +0.5 .222/.286/.362.139.29314428%7%82+0.1
Zach Reks
2021 · AAA
27 47→41 50 47→40 43 .234/.298/.385 .151.321 196 32% 8% 92 +1.2 .236/.307/.406 .170.343 204 35% 8% 102 +1.8 .194/.280/.337.143.29216136%9%69-0.2
Christin Stewart
2021 · MLB
27 44→45 51→55 44→45 48 .227/.302/.389 .161.276 203 25% 8% 95 +1.4 .211/.283/.392 .181.287 247 34% 8% 88 +0.9 .193/.272/.381.189.26326736%8%78+0.1
Jake Goebbert
2015 · MLB
27 45→51 50 48→45 50 .229/.304/.389 .160.270 186 22% 9% 95 +1.4 .220/.292/.353 .133.276 145 25% 8% 81 +0.4 .207/.278/.321.114.26412325%8%66-0.4
Dillon Paulson
2023 · AA
26 45→36 46→50 45→30 49 .226/.295/.355 .129.282 146 24% 8% 82 +0.5 .222/.287/.335 .113.289 105 25% 8% 73 -0.1 .219/.282/.320.101.2868025%8%64-0.3
Trenton Brooks
2022 · AAA
27 44→50 48→50 48→45 47 .222/.282/.371 .149.264 155 22% 7% 82 +0.5 .236/.311/.386 .150.277 167 20% 9% 98 +1.6 .238/.324/.383.144.27216818%10%100+1.2
Chris Jacobs
2016 · AAA
27 44→41 50→55 46→40 43 .222/.297/.373 .151.308 183 32% 8% 89 +0.9 .216/.274/.329 .113.319 126 34% 6% 66 -0.6 .176/.211/.265.089.27814041%4%20-0.8
Danny Hayes
2017 · AAA
26 44→45 46→45 42→30 50 .219/.296/.350 .131.286 132 27% 10% 82 +0.5 .203/.273/.341 .138.286 163 33% 9% 70 -0.3 .176/.249/.306.130.25116035%9%50-1.5
Billy McKinney
2022 · MLB
27 41→51 50→55 47→45 49 .212/.287/.375 .163.262 175 26% 9% 85 +0.7 .215/.296/.367 .152.289 186 30% 9% 86 +0.8 .214/.299/.363.149.28818431%9%83+0.3
Matt Clark
2014 · AAA
27 44→45 50→60 42→30 43 .226/.282/.375 .149.292 193 29% 7% 82 +0.5 .232/.287/.406 .174.284 243 27% 6% 93 +1.3 .226/.284/.410.184.27125026%7%93+0.9
Carlos Alvarez
2014 · AAA
26 46 45 46→45 47 .226/.287/.350 .124.279 127 23% 8% 77 +0.1 .234/.306/.341 .107.284 98 19% 9% 83 +0.6 .249/.327/.336.087.3006618%9%89+0.4
Marc Krauss
2015 · MLB
27 43→52 48→55 44→45 49 .218/.296/.362 .144.280 166 27% 9% 85 +0.7 .204/.278/.330 .126.282 145 31% 9% 69 -0.4 .182/.262/.299.117.25514333%9%53-0.8
Dustin Majewski
2009 · AA
27 46→50 47→50 41→40 54 .226/.309/.369 .142.276 145 23% 10% 92 +1.2 .232/.301/.336 .104.280 76 18% 9% 79 +0.3 .234/.300/.311.076.2753315%8%70-0.2
Kory Casto
2009 · MLB
27 46→50 46→50 42→40 49 .228/.295/.358 .130.282 145 24% 8% 83 +0.6 .231/.289/.341 .110.288 126 23% 7% 76 +0.1 .231/.288/.331.100.28711323%7%74-0.0
Stephen Scott
2023 · AA
26 42→45 49→55 49→50 51 .215/.294/.367 .152.263 177 25% 10% 85 +0.7 .214/.286/.372 .158.267 1910 26% 8% 84 +0.6 .214/.285/.387.173.262211027%8%84+0.4