Alex CallRF Los Angeles Dodgers
Age 31 R/R 5'11" / 189 lbs MLB HR +15%K -3% Svc 2.936S2 · Ctrl thru 2029 peak 1.2 · 2026
wRC+†vL 134112vR 141
AVG/OBP/SLG.239 / .333 / .374
PA407
HR9
SB7
K%18
BB%11
MLB%100%
BAT: +5.3 runs (wOBA-derived runs vs avg)+5BATRUN: +0.9 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.5 runs (Defensive runs vs avg)-0FLDPOS: -4.4 runs (Positional adjustment)-4POSREP: +11.5 runs (Replacement-level credit)+12REPTotal WAR: +1.20+1.2WAR
Scouting · nowfuture
HIT
5050
PWR
4040
SPD
5555
EYE
6160
trajectory · 10 yrs
0.9peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb SUPER-2
MLB Debut   2022
Service   2.936 yrs.days
Team Control Through   2029
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-1$2M+1.2$10M+$8M
2027Arb-2$1M+0.6$2M+$1M
2028Arb-3$1M+0.3$1M+$0.0M (cut)
2029Arb-4$1M
Totals $4M $13M +$9M

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
201621 A2 teams 337307 721515 19778 146 .235.296.339.635 .104.296 236 .275 69 -12 +0 +0 -4 +10 -0.6
201722 A3 teams 274247 41923 16675 53 .166.231.255.486 .089.211 246 .212 20 -25 -0 +0 -3 +8 -2.1
201823 AA2 teams 505453 8623111 381776 67 .190.262.318.579 .128.278 358 .255 53 -27 -2 +0 -5 +14 -2.0
201924 AAAkron RubberDucks 325300 531135 151194 55 .177.226.283.509 .107.267 375 .216 24 -28 -1 +0 -3 +9 -2.4
202126 AAA2 teams 449402 9217114 38805 155 .229.303.381.684 .152.250 188 .295 84 -8 +1 +0 -5 +13 0.1
202227 AAA3 teams 500423 10421217 5610214 134 .246.353.426.778 .180.281 2011 .345 122 +13 +1 -1 -5 +14 2.2
202328 MLB2 teams 489418 841619 57837 128 .201.307.309.616 .108.228 1712 .286 77 -13 -1 +6 +2 +14 0.8
202429 AAA2 teams 425366 8020012 51955 183 .219.322.372.694 .153.260 2212 .313 97 -1 +2 -1 -5 +12 0.8
202530 MLBLos Angeles Dodgers 322270 731234 36556 21 .270.369.381.750 .111.321 1711 .327 109 +3 +0 -3 -3 +9 0.6
▸ 2026 Season (actual · ROS · total)
202631 MLBLos Angeles Dodgers 3124 7200 631 01 .292.452.375.827 .083.333 1019 .383 151 +2 -0 -0 -0 +1 0.2
ROS31 MLBLAD 376324 791528 43656 72 .244.343.377.720 .133.280 1711 .327 108 +4 +1 -0 -4 +11 1.1
TOT31 MLBLAD 407348 861728 49687 73 .247.351.376.728 .129.285 1712 .331 112 +5 +0 -0 -4 +12 1.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202732 MLBLAD 388335 801528 44676 62 .239.338.367.705 .128.275 1711 .322 104 +2 +0 -4 -4 +11 0.6
202833 MLBLAD 358308 731417 41646 41 .237.338.357.695 .120.273 1811 .315 100 -0 +0 -4 -4 +10 0.2
202934 MLBLAD 314270 631216 36595 31 .233.334.352.686 .119.271 1911 .308 94 -2 +0 -5 -3 +9 -0.1
203035 MLBLAD 261226 50914 29514 20 .221.320.323.643 .102.269 2011 .300 88 -4 +0 -6 -3 +7 -0.4
▸ Career Totals (MLE all levels + projections)
Career 53234649 103020921113 519116187 11248 .222.311.348.660 .127.268 2210 .295 84 -98 +3 -17 -50 +151 -1.2
/ 162G 650568 12726314 6314211 146 .224.313.354.667 .130.271 2210 .295 84 -12 +0 -2 -6 +18 -0.1

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
201621 AKannapolis Intimidators 203185 571703 15401 102 .308.363.449.812 .141.378 207 .358 132 +7 +1 +6 1.5
201621 ROKGreat Falls Voyagers 134107 33313 19187 44 .308.444.439.883 .131.349 1314 .400 164 +10 -1 +4 1.3
201722 A+Winston-Salem Dash 4541 10310 3111 21 .244.311.366.677 .122.333 247 .305 92 -0 +0 +1 0.1
201722 AKannapolis Intimidators 168145 36913 16333 22 .248.335.386.722 .138.300 2010 .319 102 +0 -0 +5 0.5
201722 ROKACL White Sox 6151 3100 751 10 .059.186.078.265 .020.062 811 .143 -32 -9 +0 +2 -0.7
201823 AABirmingham Barons 269236 571717 25755 21 .242.327.411.738 .169.321 289 .327 109 +3 +0 +8 1.0
201823 A+Winston-Salem Dash 236195 501135 35521 46 .256.372.421.793 .164.319 2215 .350 126 +7 -2 +7 1.2
201924 AAAkron RubberDucks 325293 601335 22934 55 .205.270.321.590 .116.276 297 .263 60 -15 -1 +9 -0.7
202126 AAAColumbus Clippers 269231 538010 33384 33 .229.336.394.730 .165.234 1412 .330 111 +3 -1 +8 1.0
202126 AAAkron RubberDucks 180155 481315 21261 122 .310.395.503.899 .194.339 1412 .391 157 +12 +2 +5 1.9
202227 MLBWashington Nationals 131114 27315 15302 33 .237.336.412.748 .175.278 2311 .337 116 +2 -1 -1 -5 +4 -0.1
202227 AAARochester Red Wings 327257 7518113 515512 91 .292.431.521.953 .230.318 1716 .413 174 +27 +1 +9 3.9
202227 INTLTigres del Licey 4234 7300 830 10 .206.357.294.651 .088.226 719 .311 96 -0 +0 +1 0.1
202328 MLBWashington Nationals 439375 751418 53786 98 .200.309.307.615 .107.230 1812 .284 76 -12 -1 +6 +2 +12 0.7
202328 AAARochester Red Wings 5040 11301 741 30 .275.396.425.821 .150.278 814 .358 132 +2 +1 +1 0.4
202429 MLBWashington Nationals 11399 34903 12192 51 .343.425.525.950 .182.403 1711 .421 180 +10 +1 -1 -5 +3 0.9
202429 AAARochester Red Wings 312252 5613111 54603 132 .222.366.413.778 .190.245 1917 .350 126 +9 +2 +9 2.0
202530 MLBLos Angeles Dodgers 322270 721325 36556 21 .267.365.385.751 .119.313 1711 .332 112 +4 +0 -3 -3 +9 0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career 1005858 20839421 11618216 1913 .242.343.371.714 .128.283 1812 .322 104 +5 -1 +1 -12 +28 2.2

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 Call (OGILVIE) 31 50 40 55 60 .242/.342/.375 .132.277 98 17% 11% 108 +1.6
Tony Kemp
2023 · MLB
31 52→60 43→45 52→55 58 .250/.334/.365 .115.274 1012 13% 10% 102 +1.8 .229/.308/.338 .109.248 1015 12% 9% 84 +0.6 .215/.297/.312.098.229101811%9%71-0.2
Eric Campbell
2018 · MLB
31 49→57 43→45 49→50 53 .237/.325/.349 .112.290 1013 21% 10% 94 +1.3 .240/.323/.366 .126.294 1210 21% 10% 97 +1.5 .237/.326/.365.128.28812921%10%97+1.0
Raul Gonzalez
2005 · MLB
31 49→59 44→45 51→50 55 .239/.311/.360 .121.271 1111 16% 9% 90 +1.0 .257/.313/.390 .133.290 136 16% 7% 98 +1.6 .270/.325/.397.127.30412415%7%101+1.3
Robbie Grossman
2021 · MLB
31 52→57 46→45 50 59 .254/.346/.396 .142.299 1211 18% 12% 114 +2.7 .232/.338/.385 .153.288 1613 23% 13% 108 +2.3 .222/.335/.362.139.283141024%13%96+1.3
Cole Gillespie
2015 · MLB
31 49→57 46→50 49→50 50 .242/.307/.374 .131.290 1412 21% 8% 92 +1.2 .244/.299/.346 .102.295 712 19% 7% 81 +0.4 .242/.294/.327.084.29731119%7%72-0.1
Connor Joe
2023 · MLB
30 48→51 46→50 48→45 56 .237/.331/.374 .137.286 137 21% 11% 102 +1.9 .233/.323/.374 .141.290 126 22% 11% 99 +1.7 .223/.315/.357.134.28111623%10%89+0.6
Brady Clark
2004 · MLB
31 51→61 45 51→50 54 .251/.321/.380 .129.268 1217 12% 8% 100 +1.7 .276/.355/.392 .116.299 1014 11% 9% 117 +2.9 .281/.365/.383.103.30491110%9%114+2.4
Ben Francisco
2013 · MLB
31 49→56 46→55 46→55 51 .242/.311/.378 .136.280 139 18% 8% 95 +1.4 .214/.276/.313 .099.269 99 22% 7% 63 -0.8 .175/.234/.229.053.23141224%6%20-1.6
Jermaine Curtis
2017 · AAA
30 53→61 41→40 50 52 .255/.335/.352 .097.284 910 14% 8% 99 +1.7 .235/.321/.325 .090.296 78 22% 8% 86 +0.8 .214/.315/.272.058.2902524%10%70-0.1
Marco Scutaro
2007 · MLB
31 53→62 45 50→45 54 .257/.318/.390 .133.284 106 14% 8% 100 +1.7 .261/.338/.375 .114.287 108 12% 10% 105 +2.1 .272/.348/.388.116.29210810%10%109+2.4
Matt Duffy
2022 · MLB
31 54→64 42→45 50 51 .259/.334/.366 .107.310 1010 19% 8% 102 +1.8 .239/.300/.324 .085.297 86 21% 7% 76 +0.1 .222/.279/.281.060.2815222%6%53-0.6
Russ Johnson
2005 · MLB
32 48→47 45→50 50→45 55 .236/.319/.363 .127.275 1215 19% 10% 95 +1.4 .240/.308/.385 .145.269 157 16% 9% 95 +1.4 .234/.303/.369.135.25514514%9%87+0.6
Daniel Descalso
2018 · MLB
31 48→54 48→50 51→45 56 .237/.325/.382 .146.282 157 21% 11% 102 +1.9 .224/.326/.382 .158.287 165 25% 13% 103 +1.9 .202/.317/.357.155.26316227%14%88+0.5
Charles Gipson
2005 · MLB
32 49→56 46→40 55 53 .239/.317/.379 .139.281 1215 19% 9% 98 +1.6 .247/.296/.339 .092.316 618 22% 5% 78 +0.2 .258/.301/.329.071.33522222%4%72-0.1
Brandon Guyer
2017 · MLB
31 53→56 46→55 49→55 48 .259/.350/.400 .141.296 1211 17% 6% 118 +3.0 .233/.327/.371 .138.274 147 20% 7% 102 +1.8 .206/.303/.335.129.24614421%7%79+0.1
Calvin Murray
2002 · MLB
31 50→55 43→40 46→50 56 .243/.323/.359 .116.276 1015 16% 10% 95 +1.4 .225/.297/.343 .118.262 1015 17% 9% 80 +0.4 .258/.324/.345.087.30741616%7%89+0.9
Ronnier Mustelier
2016 · AAA
31 54→62 45 53→50 46 .266/.308/.385 .119.296 1213 15% 5% 95 +1.4 .263/.305/.354 .091.295 79 13% 5% 85 +0.7 .290/.334/.396.106.3149711%6%106+1.3
Jason Michaels
2007 · MLB
31 56→55 45→50 43→45 55 .272/.347/.398 .126.320 118 18% 10% 115 +2.7 .253/.319/.388 .135.298 137 19% 8% 101 +1.8 .240/.309/.382.142.28315520%8%92+0.5
Miguel Cairo
2005 · MLB
31 53→58 44→45 52→55 47 .257/.313/.380 .123.281 1012 13% 5% 96 +1.5 .246/.298/.341 .095.272 620 11% 6% 79 +0.3 .260/.310/.370.111.287111014%5%89+0.5
Danny Bautista
2004 · MLB
32 57→59 46→50 48→45 50 .279/.331/.417 .138.310 139 15% 7% 113 +2.6 .274/.325/.399 .125.301 128 13% 7% 105 +2.1 .284/.332/.398.114.30711611%6%105+2.0