Samad Taylor2B El Paso Chihuahuas
Age 28 R/R 5'8" / 160 lbs AAA HR +13%BB +8% Svc 3.000 · Ctrl thru 2028 peak 0.6 · 2027
wRC+†89
AVG/OBP/SLG.234 / .305 / .338
PA250
HR4
SB16
K%27
BB%8
MLB%10%
BAT: -3.1 runs (wOBA-derived runs vs avg)-3BATRUN: +3.1 runs (SB/CS + UBR baserunning)+3RUNFLD: -0.7 runs (Defensive runs vs avg)-1FLDPOS: -2.7 runs (Positional adjustment)-3POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.30+0.3WAR
Scouting · nowfuture
HIT
6060
PWR
5050
SPD
6060
EYE
4950
trajectory · 10 yrs
1.3peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-1
MLB Debut   2023
Service   3.000 yrs.days
Team Control Through   2028
First FA Year   2029
YearStatusSalary Proj WAR Value Surplus
2026Arb-1$1M+0.3$1M+$0.2M
2027Arb-2$2M+0.6$2M+$0.4M
2028Arb-3$3M+0.5$2M+$0.0M (cut)
Totals $5M $6M +$0.6M

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
201618 ROKAZL Indians 135120 27411 7352 62 .225.279.300.579 .075.302 265 .243 44 -9 +0 +0 -1 +4 -0.6
201719 ROKBluefield Blue Jays 2017 3000 290 10 .176.263.176.440 .000.333 4510 .219 26 -2 +0 +0 -0 +1 -0.1
201820 ALansing Lugnuts 530477 862457 401276 4416 .180.252.296.548 .115.228 248 .239 41 -35 +2 +0 -6 +15 -2.4
201921 A+Dunedin Blue Jays 384332 501614 361586 2610 .151.246.241.487 .090.260 419 .226 31 -30 +1 +0 -4 +11 -2.2
202022 INTLCanberra Cavalry 10590 22502 12211 30 .244.340.367.706 .122.290 2011 +0 -1
202123 AA2 teams 397355 8113115 301528 318 .228.303.397.700 .169.344 388 .308 94 -3 +3 +0 -4 +11 0.7
202224 AAA2 teams 356323 7511210 23933 326 .232.289.372.661 .139.288 266 .291 81 -8 +4 +0 -4 +10 0.3
202325 AAA3 teams 515444 1122348 551326 5210 .252.343.376.719 .124.332 2611 .319 102 +1 +6 -0 -6 +15 1.7
202426 AAATacoma Rainiers 599528 1141547 482016 5015 .216.289.299.588 .083.328 348 .260 57 -29 +4 +0 -6 +17 -1.5
202527 AAA2 teams 727641 16326712 561696 4812 .254.320.373.693 .119.324 238 .295 84 -13 +5 -0 -8 +21 0.4
▸ 2026 Season (actual · ROS · total)
202628 AAAEl Paso Chihuahuas 8777 20212 8230 50 .260.329.390.719 .130.340 269 .311 96 -0 +1 +0 -1 +2 0.2
ROS28 MLBSD 163147 35513 14441 112 .238.309.347.656 .109.319 279 .297 85 -3 +1 -1 -2 +5 0.1
TOT28 MLBSD 250224 55725 22671 162 .246.316.362.677 .116.325 279 .302 89 -3 +2 -1 -3 +7 0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202729 MLB 20%SD 380339 831237 35863 264 .245.321.360.681 .115.308 239 .310 95 -2 +4 -3 -4 +11 0.5
202830 MLB 33%SD 380339 841337 35873 254 .248.324.366.689 .118.306 239 .308 94 -3 +3 -4 -4 +11 0.4
202931 MLB 43%SD 365326 801237 33853 223 .245.320.365.685 .120.305 239 .305 92 -3 +3 -4 -4 +10 0.2
203032 MLB 52%SD 346309 731126 31823 202 .236.312.343.655 .107.303 249 .301 88 -5 +3 -5 -4 +10 -0.0
203133 MLB 64%SD 316283 661025 28772 172 .233.307.336.642 .102.302 249 .295 84 -6 +3 -6 -3 +9 -0.3
203234 MLB 73%SD 272244 56824 24692 141 .230.304.328.632 .098.301 259 .289 79 -6 +2 -6 -3 +8 -0.5
203335 MLB 81%SD 221198 44613 20581 111 .222.297.308.605 .086.300 269 .282 74 -7 +2 -7 -2 +6 -0.8
203436 MLB 88%SD 164148 32412 14451 80 .216.288.297.586 .081.298 279 .273 67 -6 +2 -7 -2 +5 -0.9
▸ Career Totals (MLE all levels + projections)
Career 63755660 128621843110 543173063 44798 .227.302.339.641 .112.303 279 .281 73 -195 +50 -43 -68 +181 -7.7
/ 162G 650577 13022411 551766 4610 .225.299.334.633 .109.301 278 .281 73 -20 +5 -4 -7 +18 -0.8

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
201618 ROKAZL Indians 135116 34521 11242 62 .293.364.397.761 .103.355 188 .329 110 +2 +0 +4 0.6
201719 ROKBluefield Blue Jays 2016 4000 360 10 .250.368.250.618 .000.364 3015 .286 77 -1 +0 +1 0.0
201820 ALansing Lugnuts 530460 1063279 57996 4416 .230.323.389.712 .159.273 1911 .317 100 +0 +2 +15 1.8
201921 A+Dunedin Blue Jays 384319 692037 491076 2610 .216.332.364.695 .147.292 2813 .310 95 -2 +1 +11 1.0
202022 INTLCanberra Cavalry 10590 22502 12211 30 .244.340.367.706 .122.290 2011 .317 101 +0 +1 +3 0.4
202123 AANew Hampshire Fisher Cats 374320 9417116 421108 308 .294.389.503.892 .209.394 2911 .391 157 +24 +3 +11 3.8
202123 INTLTigres del Licey 2323 4100 0100 10 .174.174.217.391 .043.308 430 .174 -9 -3 +0 +1 -0.2
202224 AAABuffalo Bisons 280244 631029 28623 235 .258.342.426.768 .168.305 2210 .338 117 +5 +3 +8 1.6
202224 INTLSurprise Saguaros 7666 10312 8260 91 .152.243.318.561 .167.200 3411 .248 48 -4 +1 +2 -0.1
202325 MLBKansas City Royals 6960 12210 7220 80 .200.284.267.550 .067.308 3210 .249 49 -4 +2 -0 -6 +2 -0.6
202325 AAAOmaha Storm Chasers 414335 1012348 66856 4310 .301.425.466.891 .164.373 2116 .393 159 +28 +5 +12 4.5
202325 INTLYaquis de Obregon 3229 9000 2100 10 .310.355.310.665 .000.450 316 .298 86 -0 +0 +1 0.1
202426 AAATacoma Rainiers 599508 13319411 681566 5015 .262.356.380.736 .118.352 2611 .326 108 +5 +4 +17 2.7
202527 AAATacoma Rainiers 657558 16527717 731234 4410 .296.381.461.842 .165.350 1911 .363 136 +27 +5 +19 5.1
202527 INTLGigantes del Cibao 7065 21401 1112 42 .323.353.431.784 .108.370 161 .341 119 +2 +0 +2 0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career 6960 12210 7220 80 .200.284.267.550 .067.308 3210 .249 49 -4 +2 -0 -6 +2 -0.6

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
Samad Taylor (OGILVIE) 28 60 50 60 50 .234/.305/.338 .105.316 418 27% 8% 82 +0.2
Mallex Smith
2021 · MLB
28 51→61 41→45 65 48 .242/.310/.353 .111.305 640 22% 8% 87 +0.8 .218/.292/.322 .104.301 1032 28% 9% 72 -0.2 .200/.285/.294.094.295114033%10%59-0.2
Jon Berti
2019 · MLB
29 50→59 43→45 63→60 45 .242/.303/.360 .118.303 935 22% 6% 86 +0.8 .252/.332/.377 .125.321 1229 23% 9% 103 +1.9 .242/.340/.358.116.311122924%11%100+0.7
Everth Cabrera
2015 · MLB
28 53→59 38→40 60→65 49 .250/.309/.330 .080.312 539 21% 8% 81 +0.4 .221/.274/.289 .068.277 522 21% 6% 56 -1.3 .193/.245/.222.029.24812221%6%23-1.3
Roman Quinn
2021 · MLB
28 50→56 46→45 66→65 43 .243/.300/.376 .132.327 1237 28% 7% 89 +1.0 .218/.303/.345 .127.332 1127 35% 9% 84 +0.6 .176/.284/.289.112.32193442%11%60-0.3
Tyler Graham
2012 · AAA
28 55→54 38→40 62→65 42 .258/.303/.333 .076.326 546 22% 5% 79 +0.3 .235/.290/.311 .076.298 536 21% 5% 68 -0.5 .221/.272/.280.059.27443320%5%48-0.9
Todd Donovan
2007 · AAA
28 50→53 40 63→65 45 .241/.296/.334 .093.295 742 20% 6% 76 +0.1 .235/.300/.316 .081.299 538 21% 8% 73 -0.1 .234/.315/.302.068.30834223%10%74-0.1
Ezequiel Carrera
2015 · MLB
28 53→63 40→45 63→60 45 .255/.302/.355 .100.310 739 20% 6% 84 +0.6 .254/.312/.354 .100.315 1024 21% 7% 89 +0.9 .257/.324/.357.100.321111522%8%91+0.6
Eugenio Velez
2009 · MLB
27 54→60 43→50 65 43 .260/.298/.391 .132.313 738 19% 5% 92 +1.2 .253/.292/.368 .115.305 829 19% 5% 83 +0.6 .261/.314/.383.122.324103422%6%93+1.0
Eric Young Jr.
2013 · MLB
28 55→60 39→45 64→65 53 .260/.333/.351 .091.317 540 19% 9% 96 +1.5 .245/.310/.336 .091.298 442 18% 8% 82 +0.5 .242/.299/.354.111.30392422%6%80+0.2
Justin Christian
2008 · AAA
28 52→57 41→45 65 45 .250/.293/.356 .106.293 740 17% 5% 80 +0.4 .249/.290/.352 .103.289 734 16% 5% 79 +0.3 .263/.319/.389.125.293103014%6%97+1.3
Rajai Davis
2008 · MLB
27 55→64 39→50 62→70 48 .262/.315/.351 .089.306 545 16% 6% 89 +0.9 .267/.316/.371 .104.312 652 16% 6% 94 +1.3 .275/.320/.377.101.32165915%5%95+1.0
Eury Pérez
2018 · MLB
28 56→65 38→40 62→65 42 .265/.307/.349 .085.327 440 20% 4% 85 +0.7 .258/.296/.354 .096.312 625 19% 4% 82 +0.5 .274/.309/.361.087.32441716%4%83+0.1
Emilio Bonifácio
2013 · MLB
28 55→61 38→40 63→65 51 .257/.323/.337 .080.324 438 21% 9% 89 +0.9 .247/.301/.332 .085.315 534 21% 7% 78 +0.2 .246/.288/.332.086.30653320%5%68-0.2
Drew Stubbs
2012 · MLB
27 50→57 46→50 59→60 47 .243/.314/.372 .130.326 1433 28% 9% 95 +1.4 .232/.300/.361 .129.321 1428 30% 8% 85 +0.7 .235/.305/.374.139.336142432%9%88+0.6
Jonathan Villar
2017 · MLB
26 52→58 46→50 62→65 49 .250/.322/.383 .133.334 1346 28% 9% 101 +1.8 .262/.327/.405 .143.348 1537 27% 9% 108 +2.3 .264/.326/.407.144.345173527%8%106+2.0
Darren Ford
2014 · MLB
28 46→53 39→45 58→65 42 .222/.271/.307 .084.297 741 27% 6% 59 -1.1 .223/.273/.303 .080.296 737 26% 6% 58 -1.2 .221/.273/.290.069.29163725%6%52-1.1
Michael Bourn
2011 · MLB
28 56→62 38→45 66→65 52 .261/.328/.346 .085.324 447 20% 9% 93 +1.3 .272/.336/.368 .096.345 540 20% 9% 102 +1.8 .271/.334/.368.097.34653821%8%96+1.6
Roger Cedeno
2003 · MLB
28 56→60 41→45 62→65 52 .270/.329/.371 .101.310 938 16% 8% 100 +1.7 .257/.313/.363 .106.301 919 17% 7% 91 +1.1 .263/.320/.373.110.31081517%8%91+0.7
Fernando Perez
2010 · MLB
27 55→60 42→45 60 44 .253/.315/.365 .112.366 832 31% 8% 92 +1.2 .208/.255/.282 .074.294 527 29% 6% 46 -2.0 .191/.238/.250.060.26542828%6%27-2.3
Dairon Blanco
2023 · AAA
30 49→52 48→50 62→70 41 .242/.296/.383 .141.312 1641 27% 6% 90 +1.0 .254/.315/.388 .134.326 1469 25% 6% 99 +1.7 .253/.319/.379.126.320139524%6%96+0.6