Alex VerdugoLF Atlanta Braves
Age 30 L/L 6'0" / 209 lbs MLB BB -5% Svc 9.000 · Ctrl thru 2026 peak 0.4 · 2026
wRC+†vL 5899vR 79
AVG/OBP/SLG.254 / .315 / .386
PA453
HR9
K%15
BB%8
xwOBA.306
Barrel%3.0%
MLB%100%
BAT: -0.4 runs (wOBA-derived runs vs avg)-0BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: -3.7 runs (Defensive runs vs avg)-4FLDPOS: -4.9 runs (Positional adjustment)-5POSREP: +12.8 runs (Replacement-level credit)+13REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
5555
PWR
4040
SPD
4040
EYE
4860
trajectory · 10 yrs
0.7peak
2026
Barrel%
103.0
xwOBA
480.306
Avg EV
6189.9
Whiff%
900.050
Chase%
900.238
Speed
2226.1
Bat Spd
1367.4

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2017
Service   9.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$2M+0.4$2M-$0.7M
Totals $2M $2M -$0.7M

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
201418 ROKOgden Raptors 216198 561222 12264 110 .283.336.394.730 .111.314 126 .320 103 +1 +2 +0 -2 +6 0.7
201519 A2 teams 540519 1382538 14822 145 .266.288.372.660 .106.301 153 .284 76 -15 +1 +0 -6 +15 -0.5
201620 AA2 teams 576537 13122113 31954 26 .244.290.361.651 .117.273 165 .288 79 -14 -2 +0 -6 +16 -0.6
201721 AAA2 teams 520472 1262216 38684 94 .267.327.356.683 .089.298 137 .303 90 -6 +0 +0 +2 +15 1.1
201822 AAA2 teams 465432 1202108 30771 82 .278.326.382.708 .104.322 176 .314 99 -1 +1 -0 -5 +13 0.8
201923 MLBLos Angeles Dodgers 377343 10222311 26492 41 .297.350.475.826 .178.315 137 .355 130 +13 +0 +3 +1 +11 2.8
202024 MLBBoston Red Sox 221201 611407 17452 40 .303.364.478.841 .174.360 208 .360 134 +8 +1 +2 -2 +6 1.6
202125 MLBBoston Red Sox 604544 15430213 51964 62 .283.349.417.766 .134.320 168 .331 111 +8 +0 -6 -6 +17 1.4
202226 MLBBoston Red Sox 644593 16439111 42863 13 .277.328.401.729 .125.305 137 .316 100 +0 -1 -7 -7 +18 0.4
202327 MLBBoston Red Sox 602546 14034414 45936 53 .256.320.410.730 .154.284 157 .320 103 +2 -0 -2 -6 +17 1.0
202428 MLBNew York Yankees 621559 13228113 49931 21 .236.299.360.658 .123.257 158 .289 79 -14 +0 -1 -7 +18 -0.5
202529 MLB2 teams 246228 521102 16362 20 .228.285.303.587 .075.263 157 .269 64 -10 +0 -5 -3 +7 -1.1
▸ 2026 Season
202630 MLBATL 453412 1052329 35693 41 .255.318.386.704 .131.285 158 .315 99 -0 +0 -4 -5 +13 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLBATL 438399 1012229 33683 10 .253.315.386.701 .133.283 168 .311 96 -2 +0 -6 -5 +12 -0.0
202832 MLBATL 419382 952118 32682 00 .249.310.372.682 .123.282 168 .306 92 -4 +0 -7 -4 +12 -0.3
202933 MLBATL 389355 871917 29652 00 .245.306.363.669 .118.280 177 .300 88 -5 +0 -7 -4 +11 -0.6
203034 MLBATL 344313 751616 26612 00 .240.302.355.657 .115.278 188 .293 82 -7 +0 -8 -4 +10 -0.9
▸ Career Totals (MLE all levels + projections)
Career 76757033 183938125147 526117747 7328 .261.317.385.703 .124.293 157 .309 95 -47 +3 -49 -69 +217 5.7
/ 162G 650596 15532212 451004 62 .260.317.381.698 .121.292 157 .309 95 -4 +0 -4 -6 +18 0.5

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
201418 ROKOgden Raptors 216190 671533 20184 110 .353.425.511.936 .158.374 89 .411 173 +18 +2 +6 2.7
201519 A+Rancho Cucamonga Quakes 9691 35924 4120 10 .385.411.6591.070 .275.408 124 .458 209 +12 +0 +3 1.5
201519 AGreat Lakes Loons 444421 1232325 17532 135 .292.323.392.715 .100.323 124 .317 101 +0 +1 +13 1.4
201620 AATulsa Drillers 529477 13023113 44674 26 .273.339.407.746 .134.292 138 .333 113 +8 -2 +15 2.1
201620 INTLGlendale Desert Dogs 4743 6210 480 00 .140.213.233.445 .093.171 179 .206 16 -4 +0 +1 -0.3
201721 MLBLos Angeles Dodgers 2523 4001 240 01 .174.240.304.544 .130.167 168 .248 48 -1 -0 +0 +2 +1 0.1
201721 AAAOklahoma City Dodgers 495433 1362746 52504 93 .314.393.436.829 .122.340 1011 .369 140 +22 +1 +14 3.8
201822 MLBLos Angeles Dodgers 8677 20601 8140 00 .260.329.377.706 .117.306 169 .315 100 -0 +0 -0 -5 +2 -0.3
201822 AAAOklahoma City Dodgers 379343 11319010 34471 82 .329.392.472.864 .143.359 129 .384 152 +22 +1 +11 3.5
201923 MLBLos Angeles Dodgers 377343 10122212 26492 41 .294.348.475.823 .181.309 137 .358 132 +14 +0 +3 +1 +11 2.9
202024 MLBBoston Red Sox 221201 621606 17452 40 .308.368.478.846 .169.371 208 .374 144 +11 +1 +2 -2 +6 1.8
202125 MLBBoston Red Sox 604544 15732213 51964 62 .289.354.426.780 .138.327 168 .347 124 +16 +0 -6 -6 +17 2.2
202226 MLBBoston Red Sox 644593 16639111 42863 13 .280.331.405.735 .125.309 137 .326 108 +6 -1 -7 -7 +18 0.9
202327 MLBBoston Red Sox 602546 14437513 45936 53 .264.327.421.748 .158.294 157 .331 111 +8 -0 -2 -6 +17 1.6
202428 MLBNew York Yankees 621559 13028113 49931 21 .233.296.356.652 .123.253 158 .289 79 -15 +0 -1 -7 +18 -0.5
202529 MLBAtlanta Braves 213197 471000 14312 10 .239.296.289.585 .051.283 157 .270 65 -8 +0 -5 -3 +6 -1.0
202529 AAAGwinnett Stripers 3329 6102 440 10 .207.303.448.751 .241.174 1212 .332 112 +0 +0 +1 0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career 33933083 8311901170 25451120 2311 .270.329.406.736 .137.300 157 .326 108 +29 +0 -17 -33 +96 7.7

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
Alex Verdugo (OGILVIE) 30 55 40 40 60 .254/.315/.386 .132.285 94 15% 8% 99 +1.3
Brian Buscher
2010 · MLB
29 52→57 45 39→45 52 .254/.323/.373 .120.287 134 17% 8% 98 +1.6 .233/.299/.354 .121.258 125 14% 8% 83 +0.6 .232/.281/.362.131.2321106%6%79+0.1
Conor Gillaspie
2017 · MLB
30 51→58 46→50 40 48 .253/.301/.394 .141.283 124 16% 6% 94 +1.3 .233/.279/.362 .129.257 138 15% 6% 77 +0.1 .214/.250/.307.094.2348812%4%46-0.6
Ricardo Soriano
2006 · AAA
30 54 41→40 43→45 49 .261/.312/.362 .101.285 86 12% 6% 91 +1.1 .256/.323/.340 .084.291 69 14% 7% 90 +1.0 .263/.333/.335.073.3015413%8%91+0.4
Corban Joseph
2019 · MLB
30 54→58 47→50 45 49 .266/.312/.399 .133.285 146 13% 6% 100 +1.7 .262/.309/.400 .138.291 134 14% 6% 99 +1.7 .268/.315/.404.136.30111014%6%100+0.9
Daniel Fornes
2010 · AAA
30 52→56 47→50 43→40 53 .258/.326/.396 .138.277 154 14% 8% 106 +2.2 .238/.293/.362 .124.261 145 15% 7% 83 +0.6 .222/.275/.333.111.24113314%6%70-0.2
Ricardo Nanita
2011 · AAA
30 54→60 45 42→50 45 .266/.304/.393 .126.297 129 15% 5% 95 +1.4 .266/.303/.385 .119.297 1310 15% 5% 93 +1.3 .263/.301/.372.109.29212915%4%86+0.5
Daric Barton
2016 · MLB
30 47→56 43→45 41→45 56 .228/.309/.335 .107.259 103 16% 10% 83 +0.6 .218/.312/.384 .166.247 214 21% 10% 98 +1.6 .202/.311/.396.194.21527122%10%104+1.3
Guillermo Heredia
2021 · MLB
30 47→57 46→45 41→45 50 .233/.310/.362 .129.280 138 21% 8% 91 +1.1 .220/.300/.363 .143.285 135 26% 9% 88 +0.9 .214/.306/.345.131.2749023%9%79+0.2
Jeremy Reed
2011 · MLB
30 52→58 42→45 42→50 48 .252/.301/.360 .108.289 97 16% 6% 85 +0.7 .224/.277/.333 .109.263 1011 18% 6% 69 -0.4 .179/.233/.257.077.21031516%6%27-0.7
Troy O'Leary
2001 · MLB
31 52→53 48→50 41→30 53 .256/.316/.406 .150.277 153 14% 8% 104 +2.0 .252/.317/.404 .152.284 154 17% 8% 104 +2.0 .247/.317/.392.145.28114317%8%94+0.6
Terrence Long
2006 · MLB
30 55→58 44→50 45 50 .268/.314/.389 .121.295 106 13% 6% 98 +1.6 .246/.291/.367 .121.290 125 19% 6% 83 +0.6 .225/.263/.340.116.27313023%5%60-0.6
Gonzalo Meza
2009 · AAA
30 55→56 44→50 43→40 49 .271/.319/.383 .113.305 125 16% 6% 98 +1.6 .260/.311/.349 .089.296 84 14% 7% 86 +0.8 .262/.319/.333.072.2995214%8%85+0.4
Yonder Alonso
2017 · MLB
30 53→57 44→55 42→45 55 .258/.323/.380 .123.285 106 14% 9% 100 +1.7 .251/.331/.421 .170.287 213 20% 10% 115 +2.7 .237/.325/.416.179.27124122%11%104+1.6
Matt Watson
2009 · AAA
30 51→53 44→50 46→50 53 .249/.319/.372 .123.291 115 18% 9% 96 +1.5 .239/.297/.383 .144.278 166 20% 7% 91 +1.1 .233/.277/.432.199.24525018%5%91+0.4
Howie Clark
2005 · MLB
31 52→58 44→40 44→40 54 .251/.317/.374 .123.270 115 12% 8% 96 +1.5 .263/.323/.365 .102.281 96 10% 8% 95 +1.4 .265/.307/.367.103.281849%5%86+0.4
James Loney
2014 · MLB
30 58→64 44→50 42→45 52 .283/.332/.403 .120.307 124 12% 7% 109 +2.4 .283/.329/.389 .106.309 104 12% 6% 105 +2.1 .280/.325/.377.096.3049211%5%93+1.1
Kevin Howard
2011 · AAA
30 48→56 45 41→45 48 .239/.286/.358 .119.267 125 16% 6% 79 +0.3 .243/.280/.351 .108.281 129 18% 5% 74 -0.1 .255/.289/.355.100.292121017%5%76+0.0
Jose Munoz
2009 · AAA
30 51→49 42→45 44→50 54 .246/.319/.356 .110.288 911 18% 9% 92 +1.2 .244/.318/.363 .119.290 910 18% 10% 94 +1.3 .227/.310/.331.103.2818620%10%79+0.1
Leslie Anderson
2012 · AAA
30 52→57 45 41→30 42 .257/.291/.376 .119.286 135 16% 4% 85 +0.7 .258/.298/.376 .118.287 133 15% 4% 89 +0.9 .260/.305/.373.113.28813114%4%89+0.8
Fernando Valenzuela
2013 · AAA
30 57→62 46→45 41→40 46 .281/.325/.411 .131.307 133 14% 5% 109 +2.4 .279/.317/.395 .116.305 114 12% 5% 101 +1.8 .293/.331/.403.110.3179310%5%109+1.6