Alejo Lopez2B Tacoma Rainiers
Age 30 S/R 5'8" / 170 lbs AAA HR +3% Svc 5.000 · Ctrl thru 2026 peak 0.5 · 2027
wRC+†79
AVG/OBP/SLG.248 / .324 / .329
PA250
HR2
SB7
K%17
BB%8
MLB%10%
BAT: -5.9 runs (wOBA-derived runs vs avg)-6BATRUN: +0.8 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.30+0.3WAR
Scouting · nowfuture
HIT
6060
PWR
3535
SPD
5555
EYE
4650
trajectory · 10 yrs
0.6peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-3
MLB Debut   2021
Service   5.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-3$2M+0.3$1M+$0.0M (cut)
Totals $1M $1M +$0.0M

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
201519 ROKAZL Reds 3833 12200 302 22 .364.447.424.872 .061.364 08 .360 134 +1 -0 +0 +0 +1 0.2
201620 ROKBillings Mustangs 229213 49511 13271 113 .230.278.277.555 .047.258 126 .239 41 -15 +1 +0 +1 +6 -0.7
201721 ROKBillings Mustangs 269232 56853 18406 114 .241.312.358.670 .116.270 157 .282 74 -8 +1 +0 +1 +8 0.1
201822 ADayton Dragons 260241 671420 11404 76 .278.320.353.673 .075.328 154 .294 83 -5 -1 +0 +1 +7 0.2
201923 A+2 teams 645588 1421722 3213818 107 .241.301.287.588 .046.309 215 .263 59 -30 -1 +0 +2 +18 -1.0
202024 INTLSultanes de Monterrey 210189 54902 11212 62 .286.332.365.697 .079.302 105 +0 +1
202125 AAA4 teams 575527 1523206 38616 113 .288.343.383.727 .095.315 117 .323 105 +3 +1 -1 +2 +16 2.2
202226 AAA2 teams 338311 781213 20474 51 .251.304.325.629 .074.284 146 .278 71 -11 +1 +0 +1 +10 0.0
202327 AAA2 teams 650570 1523227 6310612 204 .267.352.367.719 .100.315 1610 .318 102 +1 +2 +0 +2 +18 2.5
202428 AAAGwinnett Stripers 473425 1201913 337912 217 .282.351.353.704 .071.339 177 .312 97 -2 +1 +0 +2 +13 1.5
202529 AAA2 teams 580515 1161624 4110017 174 .225.304.287.591 .062.271 177 .270 65 -23 +2 +0 +2 +16 -0.3
▸ 2026 Season (actual · ROS · total)
202630 AAATacoma Rainiers 2321 3000 240 00 .143.217.143.360 .000.176 179 .167 -14 -3 +0 +0 +0 +1 -0.2
ROS30 MLBSEA 227202 51912 18395 72 .252.329.337.666 .084.297 178 .301 89 -3 +1 +0 +1 +6 0.5
TOT30 MLBSEA 250223 54912 20435 72 .242.319.318.637 .076.291 178 .289 79 -6 +1 +0 +1 +7 0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLB 20%SEA 365325 801414 29668 92 .246.323.332.656 .086.296 188 .300 88 -5 +1 -3 +1 +10 0.5
202832 MLB 33%SEA 346309 751314 27657 71 .243.318.330.648 .087.294 198 .296 85 -6 +1 -3 +1 +10 0.3
202933 MLB 43%SEA 316282 671113 25626 51 .238.313.316.629 .078.292 208 .291 81 -7 +1 -4 +1 +9 -0.0
203034 MLB 52%SEA 272244 57913 21565 41 .234.307.316.623 .082.290 218 .285 77 -7 +0 -5 +1 +8 -0.3
203135 MLB 64%SEA 221198 45712 17484 30 .227.301.303.604 .076.288 228 .278 71 -7 +1 -6 +1 +6 -0.5
▸ Career Totals (MLE all levels + projections)
Career 60145404 13732292249 420995119 15650 .254.322.332.654 .078.301 177 .281 74 -180 +11 -22 +21 +170 0.1
/ 162G 650584 1482525 4510813 175 .253.321.329.650 .075.300 177 .281 74 -19 +1 -2 +2 +18 0.0

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
201519 ROKAZL Reds 3831 13200 502 22 .419.526.4841.010 .065.419 013 .460 210 +5 -0 +1 0.6
201620 ROKBillings Mustangs 229205 56611 21191 113 .273.344.327.670 .054.296 89 .307 93 -2 +1 +6 0.6
201721 ROKBillings Mustangs 269220 661064 30286 114 .300.398.455.853 .155.318 1011 .364 136 +11 +1 +8 2.0
201822 ADayton Dragons 260234 751620 18314 76 .321.379.406.785 .085.364 127 .349 126 +8 -1 +7 1.4
201923 A+Daytona Tortugas 540481 1381732 388014 96 .287.356.347.703 .060.337 157 .320 103 +2 -1 +15 1.7
201923 INTLSultanes de Monterrey 10593 25101 7124 11 .269.346.312.658 .043.300 117 .305 91 -1 -0 +3 0.2
202024 INTLSultanes de Monterrey 210189 54902 11212 62 .286.332.365.697 .079.302 105 .304 91 -2 +0 +6 0.4
202125 MLBCincinnati Reds 2323 6000 050 00 .261.261.261.522 .000.333 220 .236 39 -2 +0 -1 +2 +1 -0.0
202125 AAALouisville Bats 290251 761806 33213 62 .303.390.446.836 .143.308 711 .372 143 +14 +0 +8 2.3
202125 AAChattanooga Lookouts 119105 38900 12112 31 .362.437.448.885 .086.404 910 .400 165 +9 +0 +3 1.2
202125 INTLCaneros de los Mochis 143119 28212 22181 20 .235.359.319.678 .084.260 1315 .316 100 +0 +0 +4 0.5
202226 MLBCincinnati Reds 156145 38511 9212 31 .262.314.331.645 .069.301 136 .294 83 -3 +0 +0 +1 +4 0.3
202226 AAALouisville Bats 182160 41803 17212 20 .256.335.362.698 .106.273 129 .313 98 -0 +0 +5 0.5
202327 AAALouisville Bats 558466 1363027 79768 184 .292.402.410.812 .118.334 1414 .368 139 +25 +2 +16 4.4
202327 INTLCaneros de los Mochis 9273 23712 13154 20 .315.444.521.965 .205.375 1614 .419 179 +8 +0 +3 1.1
202428 AAAGwinnett Stripers 473411 1262124 476412 217 .307.394.397.790 .090.354 1410 .359 133 +18 +1 +13 3.3
202529 AAALas Vegas Aviators 482414 1111625 486616 173 .268.366.353.719 .085.307 1410 .330 111 +6 +2 +14 2.2
202529 INTLCaneros de los Mochis 9881 17403 13161 01 .210.326.370.697 .160.226 1613 .309 94 -1 -0 +3 0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career 179168 44511 9262 31 .262.307.321.629 .060.305 155 .287 78 -5 +0 -1 +3 +5 0.3

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
Alejo Lopez (OGILVIE) 30 60 35 55 50 .248/.324/.329 .081.297 27 17% 8% 89 +0.4
Irving Falu
2013 · MLB
30 58→63 38→40 53→55 47 .273/.307/.356 .083.305 519 13% 5% 85 +0.7 .252/.292/.329 .077.284 418 12% 5% 72 -0.2 .265/.305/.356.091.28981311%5%82+0.4
Shawn O'Malley
2017 · MLB
29 53→58 40 56→60 47 .253/.313/.354 .101.313 621 20% 7% 89 +0.9 .232/.288/.332 .100.297 813 23% 7% 72 -0.2 .219/.270/.301.082.2816623%6%54-0.4
Nick Punto
2008 · MLB
30 51→60 37→40 52→55 55 .239/.309/.320 .081.283 317 16% 9% 78 +0.2 .241/.320/.321 .080.289 319 16% 10% 83 +0.6 .242/.331/.324.082.3003918%12%86+0.3
Trevor Crowe
2014 · MLB
30 51→55 39→45 53→55 48 .240/.296/.327 .087.293 624 20% 7% 75 -0.0 .230/.274/.328 .098.275 818 19% 6% 66 -0.6 .216/.247/.308.092.25081517%4%46-0.9
Cory Sullivan
2010 · MLB
30 52→60 40→45 50 48 .250/.302/.348 .098.294 612 17% 7% 82 +0.5 .226/.290/.314 .088.272 611 18% 8% 69 -0.4 .173/.266/.206.033.2150818%11%32-0.6
Alex Sanchez
2007 · MLB
30 55→61 39→40 50→65 42 .266/.292/.349 .083.305 721 16% 3% 78 +0.2 .259/.288/.363 .104.289 1116 14% 4% 80 +0.4 .286/.310/.375.088.31082010%3%90+0.5
Will Rhymes
2013 · MLB
30 54→61 39→40 49→55 52 .257/.311/.346 .089.284 512 12% 7% 85 +0.7 .239/.294/.325 .086.264 68 11% 7% 73 -0.1 .236/.292/.317.081.2604611%7%68-0.4
Mike Freeman
2018 · MLB
30 55→60 39→45 56→55 45 .259/.308/.345 .086.329 513 22% 6% 84 +0.6 .238/.295/.343 .105.316 1010 26% 7% 79 +0.3 .220/.290/.326.106.29212727%8%69-0.2
Jemile Weeks
2016 · MLB
29 49→59 38→45 56→55 51 .230/.301/.318 .089.286 414 20% 8% 75 -0.0 .209/.271/.304 .095.255 513 19% 8% 59 -1.1 .195/.259/.291.096.2274815%8%47-0.8
Alden Carrithers
2015 · AAA
30 54→61 36→30 51→55 55 .251/.323/.319 .068.286 418 14% 9% 84 +0.6 .243/.310/.322 .079.280 615 14% 8% 79 +0.3 .254/.322/.301.047.28731412%9%74-0.0
Aaron Miles
2007 · MLB
30 57→65 38→40 47→45 50 .267/.312/.351 .084.290 58 10% 6% 87 +0.8 .272/.315/.349 .077.299 55 10% 6% 88 +0.9 .272/.310/.336.063.3013510%5%78+0.1
Corey Wimberly
2014 · AAA
30 51→61 37→40 51→65 45 .237/.283/.311 .074.269 420 14% 4% 65 -0.7 .262/.316/.348 .086.302 425 14% 5% 89 +0.9 .292/.352/.379.087.33233312%5%108+1.2
Jake Elmore
2015 · MLB
28 55→62 38→40 52→55 53 .258/.325/.343 .086.302 421 16% 8% 91 +1.1 .230/.304/.290 .060.275 415 17% 9% 69 -0.4 .242/.306/.310.068.29431017%7%73-0.1
Emmanuel Burriss
2015 · MLB
30 52→58 37→40 52→60 48 .246/.295/.317 .071.274 520 12% 6% 71 -0.3 .241/.284/.316 .075.274 416 13% 5% 66 -0.6 .235/.272/.293.057.27121413%4%52-0.7
Matt Tolbert
2011 · MLB
29 50→56 40→45 54→50 47 .239/.285/.340 .101.281 615 17% 6% 72 -0.2 .215/.266/.292 .077.262 413 18% 6% 53 -1.5 .224/.269/.262.038.27411117%5%44-0.8
Hernan Iribarren
2014 · AAA
30 52→62 37→40 54→55 46 .246/.296/.319 .073.309 418 21% 6% 72 -0.2 .241/.286/.307 .066.300 39 19% 6% 65 -0.7 .270/.303/.345.075.3273318%5%78+0.1
Kazuo Matsui
2006 · MLB
30 53→60 43→45 53→60 49 .256/.311/.372 .116.299 914 18% 7% 93 +1.3 .263/.314/.378 .115.308 823 16% 7% 95 +1.4 .273/.327/.388.115.31773015%7%100+1.2
Jamey Carroll
2004 · MLB
30 52→62 41→40 51→50 50 .249/.309/.352 .103.287 711 16% 7% 86 +0.8 .261/.338/.344 .083.300 410 13% 10% 97 +1.5 .283/.362/.340.057.33711214%10%101+1.3
Joe Inglett
2009 · MLB
31 57→64 41→45 51→50 50 .270/.323/.380 .110.308 612 14% 7% 99 +1.7 .264/.325/.378 .114.315 611 17% 7% 99 +1.7 .285/.349/.409.123.34751018%8%113+1.0
Damian Jackson
2004 · MLB
30 52→54 40→45 55 49 .246/.308/.345 .099.302 629 20% 8% 85 +0.7 .241/.313/.361 .120.283 1122 18% 9% 92 +1.2 .241/.328/.365.124.282132019%10%96+0.6