Matt Beaty1B Amarillo Sod Poodles
Age 33 L/R 6'0" / 215 lbs AA HR -5% Svc 7.000 · Ctrl thru 2026 peak 0.4 · 2026
wRC+†109
AVG/OBP/SLG.250 / .335 / .385
PA278
HR7
K%18
BB%7
MLB%2%
BAT: +2.7 runs (wOBA-derived runs vs avg)+3BATRUN: -0.7 runs (SB/CS + UBR baserunning)-1RUNFLD: -1.7 runs (Defensive runs vs avg)-2FLDPOS: -5.0 runs (Positional adjustment)-5POSREP: +7.9 runs (Replacement-level credit)+8REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
PWR
3737
SPD
3535
EYE
5252
trajectory · 10 yrs
0.4peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2019
Service   7.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$2M+0.4$2M-$0.1M
Totals $2M $2M -$0.1M

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
201522 A2 teams 301278 80724 16392 43 .288.331.371.702 .083.319 135 .298 87 -5 -0 +0 -5 +9 -0.2
201623 A+Rancho Cucamonga Quakes 542502 13027010 271016 61 .259.305.373.677 .114.302 195 .295 84 -10 +1 +0 -10 +15 -0.3
201724 AA2 teams 550515 14731112 26845 33 .285.326.419.745 .134.319 155 .323 105 +3 -1 +0 -10 +16 0.9
201825 AAAOklahoma City Dodgers 120105 25801 8235 00 .238.322.343.665 .105.293 197 .296 85 -2 +0 +0 -2 +3 -0.1
201926 MLB2 teams 403373 9825211 24486 50 .263.318.429.747 .166.277 126 .320 103 +1 +1 -5 -4 +11 0.5
202027 MLBLos Angeles Dodgers 5450 11102 2142 00 .220.278.360.638 .140.265 264 .278 71 -2 +0 -1 -1 +2 -0.2
202128 MLB2 teams 269233 64616 215415 22 .275.372.386.758 .112.335 208 .340 118 +6 -0 -6 -3 +8 0.4
202229 AAA2 teams 192173 33321 12447 00 .191.271.249.519 .058.250 236 .238 40 -13 +0 -2 -2 +5 -1.2
202330 AAA2 teams 258222 541205 185016 00 .243.344.365.709 .122.292 197 .319 103 +1 +0 -1 -5 +7 0.2
202431 AA2 teams 212191 47504 12319 01 .246.321.335.656 .089.276 156 .288 78 -5 -0 +0 -4 +6 -0.3
▸ 2026 Season
202633 MLBARI 278245 621117 204911 21 .253.337.392.729 .139.287 187 .327 109 +3 +0 -2 -5 +8 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202734 MLB 9%ARI 235206 52916 174310 10 .252.339.393.732 .141.284 187 .320 103 +1 +0 -6 -4 +7 -0.3
202835 MLB 19%ARI 184162 39704 13367 00 .241.324.358.682 .117.282 207 .312 97 -1 +0 -7 -3 +5 -0.6
▸ Career Totals (MLE all levels + projections)
Career 35983255 8421521073 216616101 2311 .259.324.379.703 .120.297 176 .309 94 -22 +0 -30 -58 +102 -0.9
/ 162G 650588 15227213 3911118 42 .259.324.378.701 .119.298 176 .309 94 -4 +0 -5 -10 +18 -0.2

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
201522 AGreat Lakes Loons 273246 73724 21282 21 .297.357.390.747 .093.318 108 .333 113 +4 +0 +8 1.2
201522 ROKOgden Raptors 2825 12100 230 22 .480.519.5201.039 .040.545 117 .451 203 +3 -0 +1 0.4
201623 A+Rancho Cucamonga Quakes 542489 14530011 40746 61 .297.357.425.782 .129.326 147 .347 123 +14 +1 +15 3.1
201724 AATulsa Drillers 481438 14331115 35544 33 .326.382.505.886 .178.343 117 .389 155 +30 -1 +14 4.4
201724 INTLGlendale Desert Dogs 6966 16602 2101 00 .242.275.424.700 .182.259 143 .308 94 -0 +0 +2 0.1
201825 AAAOklahoma City Dodgers 120101 281001 12175 00 .277.381.406.787 .129.321 1410 .353 128 +4 +0 +3 0.7
201926 MLBLos Angeles Dodgers 268249 661919 17332 50 .265.317.458.775 .193.275 126 .342 120 +6 +1 -5 -4 +8 0.5
201926 AAAOklahoma City Dodgers 135121 37713 10124 00 .306.378.455.832 .149.321 97 .373 143 +7 +0 +4 1.1
202027 MLBLos Angeles Dodgers 5450 11102 2142 00 .220.278.360.638 .140.265 264 .288 79 -1 +0 -1 -1 +2 -0.2
202128 MLBLos Angeles Dodgers 234204 55417 204410 22 .270.363.402.765 .132.314 199 .348 125 +7 -0 -6 -3 +7 0.4
202128 AAAOklahoma City Dodgers 3528 10300 285 00 .357.486.464.950 .107.500 236 .436 192 +4 +0 +1 0.5
202229 MLBSan Diego Padres 4743 4110 282 00 .093.170.163.333 .070.114 174 .161 -18 -6 +0 -2 -2 +1 -0.9
202229 AAAEl Paso Chihuahuas 145126 34212 14275 00 .270.366.349.715 .079.330 1910 .331 112 +2 +0 +4 0.6
202330 MLBKansas City Royals 7261 14400 6145 00 .230.347.295.642 .066.298 198 .306 93 -1 +0 -1 -5 +2 -0.4
202330 AAAOmaha Storm Chasers 186154 43906 193011 00 .279.397.455.851 .175.311 1610 .380 149 +10 +0 +5 1.6
202431 AAAReno Aces 3327 4100 462 01 .148.303.185.488 .037.190 1812 .250 50 -2 -0 +1 -0.1
202431 AAAmarillo Sod Poodles 179158 47505 14187 00 .297.380.424.804 .127.311 108 .364 137 +7 +0 +5 1.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 675607 15029318 4711321 72 .247.323.394.717 .147.277 177 .323 106 +4 +1 -15 -15 +19 -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
Matt Beaty (OGILVIE) 33 37 35 52 .250/.335/.385 .135.287 72 18% 7% 109 +1.1
Troy O'Leary
2003 · MLB
33 52→53 47→50 39→30 53 .259/.326/.405 .147.290 143 16% 8% 108 +2.3 .243/.311/.381 .138.276 148 17% 8% 96 +1.5 .212/.273/.347.134.23115916%7%67-0.2
Jose Espinoza
2007 · AAA
33 56→57 44→45 41→45 52 .271/.332/.391 .120.310 106 16% 8% 106 +2.2 .267/.329/.374 .107.312 98 17% 7% 101 +1.8 .269/.329/.360.091.3218818%7%93+0.8
Andy Abad
2006 · MLB
33 49→51 52→50 41→45 47 .252/.299/.421 .169.272 206 17% 6% 102 +1.8 .247/.294/.387 .140.268 176 15% 5% 90 +1.0 .241/.289/.355.114.26314414%5%79+0.1
Todd Hollandsworth
2006 · MLB
33 52→56 49→55 42→50 50 .257/.318/.414 .157.301 147 20% 8% 107 +2.2 .246/.295/.408 .162.292 176 21% 6% 96 +1.5 .243/.276/.425.181.28718022%4%89+0.4
James Loney
2016 · MLB
32 59→64 42→50 42→45 51 .287/.334/.393 .107.311 104 12% 7% 108 +2.3 .266/.313/.372 .106.287 103 11% 6% 93 +1.3 .277/.314/.385.108.29311010%4%92+1.0
David Murphy
2015 · MLB
33 52→60 48→55 40→50 54 .258/.323/.409 .150.278 156 14% 8% 108 +2.3 .256/.305/.392 .136.281 144 14% 7% 95 +1.4 .272/.311/.402.130.29315013%5%97+1.0
Edgar Gonzalez
2011 · MLB
33 50→57 47→45 37→50 48 .247/.311/.383 .136.295 155 22% 8% 96 +1.5 .256/.305/.371 .115.302 1213 18% 6% 90 +1.0 .261/.305/.362.101.311111519%6%84+0.4
Raul Gonzalez
2007 · AAA
33 51→61 45 40→50 50 .248/.302/.374 .126.280 126 16% 7% 89 +1.0 .268/.321/.385 .117.305 116 15% 7% 101 +1.8 .289/.345/.400.111.32611514%7%109+1.3
Shawn Wooten
2005 · MLB
33 49→45 45→50 39→30 50 .241/.300/.363 .122.270 135 17% 7% 86 +0.8 .225/.275/.341 .116.262 143 19% 5% 70 -0.3 .218/.265/.316.098.25711020%4%58-0.7
Wes Helms
2009 · MLB
33 52→50 47→55 39→30 46 .256/.316/.399 .143.309 143 21% 7% 102 +1.9 .236/.301/.345 .109.305 93 24% 7% 82 +0.5 .223/.295/.312.089.3006126%8%65-0.3
Eric Hosmer
2023 · MLB
33 53→63 46→55 44→50 52 .264/.329/.393 .129.299 145 17% 8% 106 +2.2 .251/.313/.379 .128.299 146 20% 8% 96 +1.5 .235/.281/.329.095.29912025%6%67-0.1
Robert Fick
2007 · MLB
33 50→54 44→55 43→40 55 .246/.318/.359 .112.273 125 15% 9% 93 +1.3 .241/.312/.344 .103.287 106 18% 9% 86 +0.8 .231/.308/.301.070.2845019%9%69-0.1
Nick Martini
2023 · MLB
33 48→58 47→55 46→45 48 .237/.318/.372 .135.301 157 25% 8% 97 +1.5 .231/.312/.396 .165.282 193 24% 9% 101 +1.8 .218/.306/.374.155.26317023%9%90+0.7
Ben Gamel
2023 · MLB
31 49→59 47→50 42→50 54 .239/.329/.382 .143.305 146 25% 11% 104 +2.0 .237/.328/.387 .150.315 167 27% 11% 105 +2.1 .230/.327/.384.153.31816630%12%100+0.8
Scott Hatteberg
2004 · MLB
34 54→63 46→50 41→30 62 .261/.348/.396 .136.269 132 9% 11% 115 +2.8 .269/.354/.397 .128.280 132 9% 11% 118 +3.0 .273/.362/.395.122.2831218%12%115+2.6
Efren Navarro
2018 · MLB
32 51→60 40→45 37→45 47 .244/.300/.338 .094.305 82 22% 7% 79 +0.3 .242/.297/.352 .110.307 115 23% 7% 82 +0.5 .257/.302/.358.101.32710024%6%86+0.3
Oscar Ramirez
2012 · AAA
33 53→60 44→45 40→45 49 .258/.326/.372 .114.315 115 21% 8% 99 +1.7 .244/.304/.364 .120.313 115 24% 7% 89 +0.9 .231/.291/.349.118.30310226%6%78+0.1
Kosuke Fukudome
2012 · MLB
35 53→54 46→50 39→50 61 .255/.350/.394 .139.298 127 18% 12% 115 +2.8 .241/.332/.353 .112.291 106 19% 12% 98 +1.6 .217/.332/.283.066.2705219%14%80+0.1
Daniel Fornes
2012 · AAA
32 49→56 46→50 43→40 50 .244/.300/.373 .129.264 145 14% 7% 89 +0.9 .222/.270/.328 .106.247 117 15% 5% 64 -0.8 .202/.246/.275.074.2218413%4%42-1.0
Hector Garanzuay
2014 · AAA
33 53→61 46→45 43→50 46 .263/.307/.395 .132.299 138 17% 6% 97 +1.5 .267/.312/.370 .103.301 106 14% 6% 92 +1.2 .265/.314/.345.080.2968313%6%85+0.4