David Villar1B Syracuse Mets
Age 29 R/R 5'11" / 216 lbs AAA H +5%HR +3% Svc 4.000 · Ctrl thru 2027
wRC+†78
AVG/OBP/SLG.202 / .284 / .347
PA324
HR10
K%30
BB%9
MLB%10%
BAT: -8.1 runs (wOBA-derived runs vs avg)-8BATRUN: -0.6 runs (SB/CS + UBR baserunning)-1RUNFLD: -2.6 runs (Defensive runs vs avg)-3FLDPOS: -5.8 runs (Positional adjustment)-6POSREP: +9.2 runs (Replacement-level credit)+9REPTotal WAR: -0.70-0.7WAR
Scouting · nowfuture
HIT
4545
PWR
4545
SPD
4545
EYE
5260
trajectory · 10 yrs
-0.5peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-2
MLB Debut   2022
Service   4.000 yrs.days
Team Control Through   2027
First FA Year   2028
YearStatusSalary Proj WAR Value Surplus
2026Arb-2$0.4M
2027Arb-3$0.7M
Totals $-8M $-8M +$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
201821 ROKAZL Giants Black 2521 5100 271 00 .238.333.286.619 .048.333 288 .289 79 -1 +0 +0 -0 +1 -0.0
201922 A+San Jose Giants 479433 8317111 301969 41 .192.258.312.570 .120.309 416 .251 50 -27 +0 +0 -9 +14 -2.2
202124 AARichmond Flying Squirrels 446403 9121019 2814415 51 .226.300.419.720 .194.300 326 .308 94 -3 +1 +0 -8 +13 0.2
202225 AAA2 teams 547469 10120229 5817917 12 .215.324.452.776 .237.273 3311 .336 115 +9 -1 -1 +2 +15 2.6
202326 AAA2 teams 474423 8317017 431516 61 .196.280.357.637 .161.257 329 .282 74 -14 +1 +2 +2 +13 0.4
202427 AAA2 teams 519462 9723013 421628 21 .210.287.344.631 .134.286 318 .281 73 -16 +0 -1 -9 +15 -1.2
202528 AAA2 teams 274241 49605 28763 10 .203.294.290.585 .087.272 2810 .266 62 -12 +0 -1 -5 +8 -1.0
▸ 2026 Season
202629 MLBNYM 324288 5811010 29974 21 .201.283.344.627 .142.265 309 .287 78 -8 +0 -3 -6 +9 -0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLB 20%NYM 342304 6112010 311044 21 .201.283.339.622 .138.264 309 .284 75 -10 +0 -5 -6 +10 -1.1
202831 MLB 33%NYM 327290 5811010 301014 00 .200.284.341.625 .141.262 319 .280 72 -10 +0 -5 -6 +9 -1.2
202932 MLB 43%NYM 308273 531009 28964 00 .194.279.330.608 .136.260 319 .275 69 -11 +0 -6 -6 +9 -1.4
203033 MLB 57%NYM 278248 47908 25893 00 .190.272.323.594 .133.258 329 .269 64 -11 +0 -6 -5 +8 -1.5
203134 MLB 75%NYM 235209 38706 21773 00 .182.266.301.568 .120.255 339 .262 59 -11 +0 -7 -4 +7 -1.6
▸ Career Totals (MLE all levels + projections)
Career 45784064 8241653147 395147981 238 .203.286.353.640 .151.274 329 .285 76 -124 +1 -33 -60 +130 -8.7
/ 162G 650577 11623021 5621012 31 .201.286.350.636 .149.271 329 .285 76 -18 +0 -5 -9 +18 -1.2

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
201821 ROKAZL Giants Black 2519 6100 451 00 .316.458.368.827 .053.400 2016 .373 144 +1 +0 +1 0.2
201922 A+San Jose Giants 479423 11124213 401449 41 .262.339.421.760 .158.359 308 .336 115 +8 +0 +14 2.3
202124 AARichmond Flying Squirrels 446385 10629020 4611215 51 .275.374.506.881 .231.340 2510 .389 156 +28 +1 +13 4.2
202225 MLBSan Francisco Giants 181156 36619 18586 01 .231.333.455.788 .224.300 3210 .349 125 +5 -0 -1 +2 +5 1.1
202225 AAASacramento River Cats 366298 8219127 559311 11 .275.407.6171.024 .342.306 2515 .438 193 +39 -0 +10 5.0
202326 MLBSan Francisco Giants 140124 18605 11454 11 .145.237.315.552 .169.173 328 .250 50 -8 -0 +2 +2 +4 -0.1
202326 AAASacramento River Cats 334287 7814017 44892 50 .272.372.498.871 .226.335 2713 .383 152 +19 +1 +9 3.1
202427 MLBSan Francisco Giants 3735 9401 1130 00 .257.278.457.735 .200.364 353 .312 97 -0 +0 -1 -9 +1 -1.0
202427 AAASacramento River Cats 482408 10626016 601248 21 .260.366.441.807 .181.328 2612 .358 132 +17 +0 +14 3.2
202528 MLBSan Francisco Giants 2520 4100 451 00 .200.360.250.610 .050.267 2016 .301 89 -0 +0 -1 -5 +1 -0.6
202528 AAASyracuse Mets 249210 51607 35582 10 .243.356.371.728 .129.299 2314 .332 112 +3 +0 +7 1.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 383335 6717115 3412111 12 .200.295.391.686 .191.257 329 .306 92 -3 -1 -1 -11 +11 -0.5

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
David Villar (OGILVIE) 29 45 45 45 60 .202/.284/.347 .145.265 102 30% 9% 78 +0.1
Jamie Romak
2015 · MLB
29 39→49 49→55 48→45 41 .205/.258/.355 .150.261 176 29% 6% 67 -0.5 .215/.272/.389 .174.293 217 33% 7% 82 +0.5 .212/.275/.404.191.28923634%7%84+0.3
Alex Burg
2016 · AAA
28 44→42 50 44→40 45 .225/.298/.374 .150.303 184 31% 8% 89 +1.0 .209/.270/.346 .137.275 165 29% 7% 70 -0.3 .172/.224/.285.113.22412229%5%32-1.5
Brett Carroll
2011 · MLB
28 40→45 48→55 45→50 43 .207/.279/.350 .143.260 168 27% 6% 76 +0.0 .214/.279/.353 .139.271 1610 26% 7% 76 +0.0 .207/.272/.347.140.262171127%7%68-0.3
Matt Skole
2018 · AAA
29 37→39 51→50 46→40 44 .201/.264/.359 .158.247 203 28% 7% 71 -0.3 .199/.271/.339 .140.267 164 31% 8% 69 -0.4 .188/.269/.317.129.25616231%9%61-0.8
Brad Nelson
2012 · MLB
29 40→48 49→50 44→50 47 .211/.272/.356 .146.247 184 24% 8% 73 -0.1 .221/.281/.370 .149.269 184 25% 8% 81 +0.4 .214/.274/.354.140.25718224%7%72-0.1
Jorge Bonifacio
2022 · MLB
29 38→48 50→55 46→45 43 .202/.261/.356 .154.259 187 29% 7% 69 -0.4 .211/.279/.370 .159.275 208 30% 8% 80 +0.4 .201/.273/.360.159.25721730%8%74-0.1
Jaylin Davis
2023 · MLB
29 40→47 47→50 44→45 40 .199/.270/.333 .134.299 158 37% 8% 66 -0.6 .204/.282/.350 .146.305 177 36% 8% 76 +0.1 .176/.272/.337.161.25620337%10%67-0.3
Nick Tanielu
2022 · AAA
29 41→51 48→50 45→40 43 .213/.263/.354 .142.256 165 24% 6% 69 -0.4 .205/.266/.338 .133.263 146 27% 7% 66 -0.6 .196/.264/.336.141.25213327%7%62-0.4
O'Koyea Dickson
2019 · AAA
29 41→46 54→55 43→45 44 .222/.282/.400 .178.263 226 26% 6% 89 +1.0 .229/.283/.383 .154.265 178 20% 6% 85 +0.7 .237/.288/.405.168.25416014%5%89+0.2
Jim Murphy
2014 · AA
28 42→43 49→50 42→30 41 .217/.275/.367 .150.286 172 30% 6% 77 +0.1 .216/.278/.348 .132.283 144 28% 7% 74 -0.1 .201/.271/.328.127.25814127%8%63-0.6
Taylor Jones
2023 · MLB
29 46 50→55 43→40 44 .229/.301/.384 .155.304 173 30% 8% 93 +1.3 .216/.290/.367 .151.289 179 30% 8% 84 +0.6 .176/.259/.331.155.225181230%9%59-0.4
Brad Glenn
2015 · MLB
28 44→46 50→55 43→45 40 .227/.275/.382 .155.297 194 30% 6% 81 +0.4 .224/.269/.353 .129.303 145 29% 5% 71 -0.3 .207/.244/.319.112.27811029%4%48-0.8
Bryce Brentz
2018 · MLB
29 43→50 51→60 46→40 40 .225/.271/.383 .157.289 204 29% 6% 79 +0.3 .213/.270/.394 .181.298 244 36% 7% 82 +0.5 .182/.251/.371.189.26825141%7%65-0.3
Christian Bethancourt
2021 · AAA
29 45→50 49→55 49→50 39 .232/.265/.377 .145.282 1810 25% 4% 76 +0.0 .241/.278/.392 .151.300 188 25% 5% 85 +0.7 .238/.273/.391.153.29419526%4%79+0.2
Clint Coulter
2023 · AAA
30 43 53→50 44→40 40 .226/.285/.396 .170.278 215 27% 5% 90 +1.0 .221/.288/.362 .141.267 159 23% 6% 82 +0.5 .199/.277/.318.119.23911921%6%62-0.4
Chris Marrero
2017 · AAA
29 46→52 50 47→30 43 .235/.276/.390 .155.272 182 22% 5% 83 +0.6 .226/.275/.376 .150.267 186 22% 6% 79 +0.3 .151/.217/.272.121.16816023%6%28-0.6
Chad Tracy
2013 · AAA
28 39→49 48→55 42→45 42 .205/.263/.343 .139.257 165 27% 6% 66 -0.6 .201/.263/.316 .115.275 126 30% 7% 59 -1.1 .146/.232/.217.071.19511030%8%21-1.0
Zack Zehner
2021 · AAA
28 41→51 47→50 44→45 39 .208/.260/.341 .133.295 146 34% 6% 64 -0.8 .219/.283/.336 .117.333 1111 35% 8% 72 -0.2 .213/.287/.319.105.33581236%9%67-0.2
Justin Leone
2007 · MLB
30 41 47→50 43→55 46 .211/.283/.343 .132.274 166 28% 8% 75 -0.0 .206/.284/.351 .145.269 1616 28% 9% 78 +0.2 .187/.272/.333.146.244161929%10%67-0.4
Chip Ambres
2009 · MLB
29 41→49 50 49→50 49 .214/.287/.367 .152.264 179 26% 9% 82 +0.5 .221/.277/.355 .134.265 157 22% 7% 75 -0.0 .216/.264/.327.111.25312320%6%59-0.9