Armando Alvarez3B St. Paul Saints
Age 32 R/R 6'0" / 189 lbs AAA BB +3% Svc 2.000S2 · Ctrl thru 2029 peak 0.4 · 2026
wRC+†91
AVG/OBP/SLG.230 / .298 / .381
PA203
HR6
K%25
BB%8
MLB%10%
BAT: -2.0 runs (wOBA-derived runs vs avg)-2BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.4 runs (Defensive runs vs avg)-0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +5.8 runs (Replacement-level credit)+6REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
4040
PWR
4545
SPD
4545
EYE
5145
trajectory · 10 yrs
0.4peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb SUPER-2
MLB Debut   2024
Service   2.000 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2026Arb-1$0.4M+0.4$2M+$1M
2027Arb-2$0.4M
2028Arb-3$0.4M
2029Extbeyond projection horizon · no WAR estimate
Totals $-1M $-0.1M +$1M

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
201622 ACharleston RiverDogs 218210 47805 4300 02 .224.238.333.572 .110.235 142 .245 46 -13 -1 +0 +1 +6 -0.7
201723 A+2 teams 283272 551110 7522 31 .202.228.250.478 .048.249 182 .207 16 -27 +0 +0 +1 +8 -1.8
201824 AA2 teams 422395 8920311 22703 21 .225.271.375.646 .149.247 175 .277 70 -14 +0 +0 +2 +12 -0.1
201925 AAA2 teams 490459 1042419 24933 44 .227.270.342.612 .115.263 195 .266 62 -21 -1 +0 +2 +14 -0.6
202127 AAAScranton/Wilkes-Barre RailRiders 403372 762207 26850 21 .204.256.320.576 .116.242 216 .258 56 -20 +0 +0 +1 +11 -0.7
202228 AAAScranton/Wilkes-Barre RailRiders 323306 6916015 13850 42 .225.257.425.682 .199.257 264 .289 79 -8 +0 +0 +1 +9 0.3
202329 AAA2 teams 329298 7714114 24612 91 .258.318.453.771 .195.276 197 .328 109 +3 +1 +0 +1 +9 1.5
202430 AAA2 teams 356321 8015111 32852 62 .249.321.405.726 .156.305 249 .321 103 +1 +0 -2 +1 +10 1.1
202531 AAA2 teams 244225 441004 15863 11 .196.255.293.548 .098.294 356 .239 41 -16 -0 +0 +1 +7 -0.9
▸ 2026 Season
202632 MLBMIN 203184 43816 16511 31 .234.299.386.684 .152.283 258 .305 91 -2 +0 -0 +1 +6 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLB 20%MIN 173156 36705 14441 20 .231.298.372.670 .141.282 258 .300 88 -2 +0 -5 +1 +5 -0.1
202834 MLB 33%MIN 132119 27504 11341 10 .227.298.370.667 .143.281 268 .295 84 -2 +0 -5 +0 +4 -0.3
▸ Career Totals (MLE all levels + projections)
Career 35763317 747160891 20877618 3716 .225.275.361.635 .135.265 226 .277 70 -121 +1 -12 +13 +101 -1.9
/ 162G 650603 13629117 381413 73 .226.275.362.636 .136.264 226 .277 70 -22 +0 -2 +2 +18 -0.3

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
201622 ACharleston RiverDogs 218208 571205 6230 02 .274.294.404.698 .130.283 113 .304 91 -2 -1 +6 0.3
201723 A+Tampa Yankees 154149 34510 3181 31 .228.248.275.524 .047.260 122 .235 38 -11 +0 +4 -0.6
201723 ACharleston RiverDogs 129119 31800 8191 00 .261.312.328.640 .067.307 156 .290 80 -3 +0 +4 0.1
201824 AATrenton Thunder 390359 9425311 25483 21 .262.314.440.755 .178.275 126 .331 112 +5 +0 +11 1.7
201824 A+Tampa Tarpons 3227 5002 560 00 .185.312.407.720 .222.158 1916 .324 106 +0 +0 +1 0.1
201925 AAAScranton/Wilkes-Barre RailRiders 260238 661806 18391 12 .277.331.429.759 .151.306 157 .334 114 +4 -1 +7 1.1
201925 AATrenton Thunder 230210 551315 17352 32 .262.323.405.728 .143.292 157 .324 106 +2 -0 +7 0.8
202127 AAAScranton/Wilkes-Barre RailRiders 403360 8525010 37700 21 .236.307.389.695 .153.263 179 .308 94 -3 +0 +11 0.9
202228 AAAScranton/Wilkes-Barre RailRiders 323299 8320018 20710 42 .278.323.525.848 .247.304 226 .365 137 +14 +0 +9 2.3
202329 AAASacramento River Cats 298260 8015118 32471 81 .308.386.581.966 .273.310 1611 .413 174 +25 +1 +8 3.5
202329 ROKACL Giants Orange 3128 10300 241 10 .357.419.464.884 .107.417 136 .397 162 +2 +0 +1 0.3
202430 MLBOakland Athletics 3937 9100 280 10 .243.282.270.552 .027.310 215 .254 53 -2 +0 -2 +1 +1 -0.2
202430 AAALas Vegas Aviators 317273 8620115 41612 52 .315.408.560.969 .245.359 1913 .422 181 +29 +0 +9 3.9
202531 AAASt. Paul Saints 153137 31704 14442 00 .226.307.365.672 .139.303 299 .305 92 -1 +0 +4 0.3
202531 INTLTigres del Licey 9183 20503 6171 11 .241.300.410.710 .169.266 197 .313 97 -0 -0 +3 0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career 3937 9100 280 10 .243.282.270.552 .027.310 215 .254 53 -2 +0 -2 +1 +1 -0.2

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
Armando Alvarez (OGILVIE) 32 40 45 45 45 .230/.298/.381 .151.283 63 25% 8% 91 +0.4
Anthony Recker
2017 · MLB
33 42→48 50 48→45 47 .214/.292/.365 .151.283 185 30% 9% 85 +0.7 .212/.279/.357 .145.289 165 31% 7% 77 +0.1 .194/.255/.340.146.26616132%6%59-0.5
John Mayberry Jr.
2015 · MLB
31 44→48 51→55 44→50 48 .228/.295/.393 .165.271 185 23% 8% 92 +1.2 .212/.280/.363 .151.261 167 25% 8% 79 +0.3 .162/.216/.280.119.20211426%7%29-0.8
Matt Szczur
2021 · MLB
32 46→56 48→45 45→55 47 .233/.293/.377 .144.283 159 23% 8% 87 +0.8 .216/.263/.373 .157.279 198 29% 6% 74 -0.1 .151/.186/.307.156.17823032%4%21-0.7
Donnie Murphy
2015 · MLB
32 39→41 52→60 45 41 .209/.273/.376 .166.260 216 28% 6% 79 +0.3 .210/.275/.332 .122.267 136 26% 7% 69 -0.4 .196/.269/.273.077.2497023%7%49-0.5
Cody Ransom
2009 · MLB
33 39→41 54→55 48→50 44 .212/.276/.389 .177.262 2211 29% 7% 84 +0.6 .219/.281/.393 .174.279 2010 28% 7% 87 +0.8 .217/.285/.398.181.29023732%8%87+0.6
Mario Lisson
2016 · AAA
32 47→49 49→55 47→55 43 .238/.297/.379 .141.297 189 26% 6% 90 +1.0 .223/.292/.362 .139.297 168 29% 8% 83 +0.6 .205/.284/.348.143.27417630%9%74-0.0
Chad Huffman
2017 · AAA
32 48→50 51→50 49→45 48 .241/.317/.411 .171.286 1812 22% 8% 107 +2.2 .226/.304/.379 .153.282 166 25% 8% 93 +1.3 .212/.295/.356.144.26916126%8%80+0.2
Jesus Alberto Vega
2014 · AAA
32 44 50 47→40 42 .229/.281/.377 .149.279 198 26% 6% 82 +0.5 .221/.269/.326 .105.302 116 29% 5% 63 -0.8 .204/.253/.285.081.2957132%5%42-0.7
Brandon Larson
2007 · MLB
31 44→42 51→50 44→45 41 .228/.283/.384 .156.296 206 30% 6% 85 +0.7 .226/.270/.378 .152.283 198 27% 5% 78 +0.2 .213/.246/.358.145.24720424%4%60-0.3
Michael A. Taylor
2023 · MLB
32 48→51 46→55 46→60 45 .240/.298/.361 .121.304 1510 26% 7% 85 +0.7 .224/.283/.382 .158.299 2016 31% 7% 85 +0.7 .205/.265/.377.173.279222034%7%74-0.1
Edwin Diaz
2007 · AAA
32 45 49→50 44→40 42 .229/.277/.374 .144.268 179 22% 5% 80 +0.4 .248/.282/.384 .136.280 157 17% 3% 84 +0.6 .271/.296/.404.133.29914214%2%91+0.5
Chris Owings
2023 · MLB
31 40→50 47→50 50→55 44 .205/.272/.343 .138.276 1513 31% 8% 70 -0.3 .203/.276/.336 .133.294 1611 34% 8% 70 -0.3 .193/.274/.320.127.282161135%9%62-0.5
Lorenzo Quintana
2021 · AAA
32 43 54→55 45 38 .227/.272/.402 .175.273 229 26% 4% 85 +0.7 .242/.290/.401 .159.297 195 25% 5% 92 +1.2 .240/.289/.402.162.29120224%4%89+0.5
Brooks Conrad
2011 · MLB
31 41→44 52→55 52→50 43 .217/.277/.384 .167.274 2011 29% 7% 83 +0.6 .230/.298/.415 .185.307 239 31% 8% 100 +1.7 .210/.276/.403.193.27426233%8%85+0.3
Michael McKenry
2017 · MLB
32 46 49→55 43→40 54 .230/.323/.384 .154.295 167 26% 11% 102 +1.9 .203/.293/.322 .119.285 116 30% 10% 74 -0.1 .166/.262/.253.087.2417031%10%42-1.0
Valentino Pascucci
2011 · AAA
32 41→45 54→55 47→45 50 .217/.303/.391 .174.282 224 31% 10% 95 +1.4 .214/.297/.379 .165.305 213 34% 10% 90 +1.0 .203/.294/.363.160.29221035%11%82+0.4
Shawn Wooten
2004 · MLB
32 52→45 48→50 40→30 48 .262/.312/.397 .135.293 165 17% 6% 100 +1.7 .231/.285/.354 .123.265 144 18% 6% 78 +0.2 .218/.265/.316.098.25711020%4%58-0.7
Craig Paquette
2001 · MLB
32 47→46 54→55 45 47 .244/.298/.425 .181.273 218 20% 7% 102 +1.9 .244/.288/.404 .160.276 196 19% 5% 92 +1.2 .240/.280/.390.149.27218419%4%83+0.3
Issmael Salas
2014 · AAA
32 49→51 49→50 47→50 46 .246/.297/.395 .149.280 167 19% 6% 94 +1.3 .245/.288/.358 .113.281 116 17% 5% 80 +0.4 .253/.300/.375.122.27813514%5%89+0.6
Jacob Wilson
2021 · AAA
31 47→49 49→55 45→40 47 .238/.299/.390 .152.284 175 23% 7% 93 +1.3 .221/.289/.400 .179.269 216 26% 7% 92 +1.2 .194/.271/.385.190.22523026%8%79+0.1