Phillip Evans3B Aguilas de Mexicali
Age 33 R/R 5'9" / 210 lbs INTL BB -5% Svc 9.000 · Ctrl thru 2026 peak 0.8 · 2026
wRC+†90
AVG/OBP/SLG.240 / .318 / .346
PA350
HR7
K%19
BB%9
xwOBA.313
Barrel%4.3%
MLB%0%
BAT: -3.9 runs (wOBA-derived runs vs avg)-4BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.1 runs (Defensive runs vs avg)+0FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +9.9 runs (Replacement-level credit)+10REPTotal WAR: +0.80+0.8WAR
Scouting · nowfuture
HIT
5050
PWR
4141
SPD
5656
EYE
4656
trajectory · 10 yrs
0.5peak
2026
Barrel%
204.3
xwOBA
540.313
Avg EV
4088.4
Whiff%
590.100
Chase%
610.296
Speed
5227.6

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$5M+0.8$3M-$1M
Totals $5M $3M -$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
201118 ROKKingsport Mets 2927 7300 270 01 .259.310.370.681 .111.350 247 .288 79 -1 -0 +0 +0 +1 -0.0
201320 ASavannah Sand Gnats 389361 591012 19803 42 .163.211.213.425 .050.201 215 .192 5 -42 +0 +0 +1 +11 -3.0
201421 A+St. Lucie Mets 437402 891803 26852 01 .221.272.289.561 .067.269 196 .249 49 -25 -0 +0 +2 +12 -1.2
201522 A+St. Lucie Mets 280258 501230 18631 22 .194.249.264.513 .070.253 226 .227 32 -22 -0 +0 +1 +8 -1.3
201623 AA3 teams 502474 1282708 21915 11 .270.308.378.686 .108.319 184 .296 84 -9 -0 +0 +2 +14 0.7
201724 AAA2 teams 548511 1172227 341163 23 .229.281.321.602 .092.284 216 .266 62 -24 -1 +1 +2 +16 -0.6
201825 AAA2 teams 268247 517111 16633 53 .206.263.377.640 .170.229 246 .273 67 -10 -0 -0 +1 +8 -0.2
201926 AAA2 teams 600534 12125314 4710312 25 .227.304.363.667 .137.253 178 .293 82 -12 -2 +0 +2 +17 0.6
202027 MLBPittsburgh Pirates 4539 14201 571 01 .359.444.487.932 .128.419 1611 .407 170 +4 -0 -1 +0 +1 0.4
202128 MLB2 teams 391347 741405 37906 10 .213.300.297.597 .084.273 239 .268 63 -16 +0 -5 -7 +11 -1.7
202229 AAAScranton/Wilkes-Barre RailRiders 400372 761408 20685 22 .204.254.306.561 .102.227 175 .247 47 -24 -0 +0 +1 +11 -1.2
202330 AAAReno Aces 590515 1352019 581008 22 .262.346.357.703 .095.304 1710 .316 100 +0 -0 +0 +2 +17 1.9
202431 AAA2 teams 278255 50406 19622 15 .196.257.282.540 .086.233 227 .244 45 -17 -2 +0 +1 +8 -1.0
202532 INTLAguilas de Mexicali 121108 24604 10221 00 .222.294.389.683 .167.241 188 +0 +0
▸ 2026 Season
202633 MLBATL 350311 761117 32664 31 .244.323.354.676 .109.285 199 .303 90 -4 +0 +0 +1 +10 0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202734 MLB 7%ATL 316281 681016 28624 21 .242.319.349.668 .107.284 209 .297 85 -5 +0 -5 +1 +9 0.0
202835 MLB 18%ATL 263235 54814 23553 10 .230.307.323.630 .094.282 219 .290 80 -6 +0 -6 +1 +7 -0.3
202936 MLB 27%ATL 206184 42613 18452 00 .228.304.321.625 .092.279 229 .281 73 -6 +0 -6 +1 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 60135461 12352191598 433118565 2830 .226.291.326.616 .099.269 207 .268 63 -252 -6 -21 +13 +170 -9.8
/ 162G 650590 13524211 471287 33 .229.293.332.626 .103.272 207 .268 63 -27 -1 -2 +1 +18 -1.0

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
201118 ROKKingsport Mets 2926 9400 350 01 .346.414.500.914 .154.429 1710 .405 168 +2 -0 +1 0.3
201320 ASavannah Sand Gnats 389350 711312 30603 42 .203.272.263.534 .060.235 158 .245 46 -24 +0 +11 -1.3
201421 A+St. Lucie Mets 437389 961604 39592 01 .247.319.319.637 .072.277 149 .289 79 -10 -0 +12 0.2
201522 A+St. Lucie Mets 280252 591430 24441 22 .234.303.313.617 .079.280 169 .280 72 -9 -0 +8 -0.1
201623 AABinghamton Mets 386361 1213008 19604 11 .335.375.485.860 .150.384 165 .379 149 +21 -0 +11 3.3
201623 A+St. Lucie Mets 3328 4000 530 00 .143.273.143.416 .000.160 915 .215 23 -3 +0 +1 -0.2
201623 INTLCriollos de Caguas 8374 23511 8101 00 .311.386.446.831 .135.349 1210 .372 143 +4 +0 +2 0.7
201724 MLBNew York Mets 3833 10200 481 00 .303.395.364.758 .061.400 2111 .351 127 +1 +0 +1 +2 +1 0.5
201724 AAALas Vegas 51s 510466 13026311 42792 23 .279.341.418.760 .139.316 158 .340 118 +11 -1 +14 2.5
201825 MLBNew York Mets 2321 3000 280 10 .143.217.143.360 .000.231 359 .179 -5 -3 +0 -0 +1 +1 -0.1
201825 AAALas Vegas 51s 245219 568114 21423 43 .256.329.493.822 .237.255 179 .358 132 +9 -0 +7 1.6
201926 AAAIowa Cubs 539466 13230317 577411 14 .283.375.470.844 .187.303 1411 .373 143 +26 -1 +15 4.1
201926 INTLAguilas de Mexicali 6152 11200 661 11 .212.305.250.555 .038.234 1010 .256 54 -3 -0 +2 -0.2
202027 MLBPittsburgh Pirates 4539 14201 571 01 .359.444.487.932 .128.419 1611 .418 178 +4 -0 -1 +0 +1 0.4
202128 MLBPittsburgh Pirates 247214 44505 28535 10 .206.312.299.611 .093.250 2111 .287 78 -6 +0 -5 -7 +7 -1.1
202128 AAAIndianapolis Indians 144127 321000 15291 00 .252.336.331.666 .079.323 2010 .305 92 -1 +0 +4 0.3
202229 AAAScranton/Wilkes-Barre RailRiders 400361 881709 31575 22 .244.312.366.678 .122.265 148 .305 92 -4 -0 +11 0.7
202330 AAAReno Aces 590481 15024211 92758 22 .312.430.439.869 .127.344 1316 .389 156 +37 -0 +17 5.4
202431 AAAGwinnett Stripers 200176 39305 20362 10 .222.308.324.632 .102.248 1810 .289 79 -5 +0 +6 0.1
202431 INTLAguilas de Mexicali 7873 20502 5150 05 .274.321.425.745 .151.321 196 .331 112 +1 -2 +2 0.1
202532 INTLAguilas de Mexicali 121108 24604 10221 00 .222.294.389.683 .167.241 188 .301 88 -2 +0 +3 0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career 353307 71906 39767 21 .231.331.319.651 .088.289 2211 .303 90 -4 +0 -5 -4 +10 -0.3

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
Phillip Evans (OGILVIE) 33 50 41 56 56 .240/.318/.346 .106.285 73 19% 9% 90 +0.6
Gerald Laird
2013 · MLB
33 49→47 43→50 46→50 50 .238/.298/.349 .111.270 106 16% 7% 82 +0.5 .244/.315/.343 .099.289 76 17% 9% 87 +0.8 .233/.312/.302.069.2882218%9%71-0.1
Kevan Smith
2021 · MLB
33 51→54 46→50 49→40 49 .254/.319/.385 .131.287 146 17% 7% 100 +1.7 .223/.296/.338 .115.295 118 26% 9% 79 +0.3 .163/.242/.193.030.2400029%9%2-0.9
Issmael Salas
2015 · AAA
33 49→51 44→50 49→50 44 .242/.287/.358 .116.277 126 18% 5% 79 +0.3 .247/.291/.363 .116.279 127 16% 5% 82 +0.5 .253/.300/.375.122.27813514%5%89+0.6
Erick Almonte
2011 · AAA
33 52→48 40 50→45 45 .249/.300/.339 .091.314 77 22% 7% 79 +0.3 .237/.289/.327 .090.305 76 23% 7% 72 -0.2 .248/.305/.354.106.30011320%8%81+0.2
Mark Little
2005 · MLB
33 48 42→55 48→55 48 .228/.320/.340 .111.293 910 23% 8% 90 +1.0 .232/.313/.381 .149.310 1616 29% 7% 98 +1.6 .224/.312/.363.139.309141830%6%90+0.6
Cole Gillespie
2017 · MLB
33 51→57 41→50 51→50 49 .244/.299/.348 .104.289 711 18% 7% 81 +0.4 .232/.284/.332 .100.292 711 22% 7% 71 -0.3 .242/.292/.326.084.30951122%6%72-0.1
Fernando Rios
2013 · AAA
34 49 41→40 49→50 47 .238/.287/.331 .094.273 99 17% 6% 72 -0.2 .227/.274/.321 .094.265 910 18% 5% 64 -0.8 .232/.273/.270.038.2623412%5%48-0.4
Andy Green
2010 · AAA
33 46→56 44→50 48→45 50 .225/.292/.344 .120.264 129 20% 8% 79 +0.3 .220/.276/.339 .119.268 129 22% 6% 70 -0.3 .201/.257/.312.111.24510622%6%53-0.6
Kevin Plawecki
2023 · MLB
32 53→57 42→45 48→30 50 .253/.317/.358 .105.293 95 17% 7% 92 +1.2 .229/.291/.341 .112.277 113 21% 7% 77 +0.1 .218/.279/.326.109.26311021%7%64-0.4
Israel Nunez
2019 · AAA
33 47 46→40 49→40 44 .238/.278/.363 .125.275 149 20% 5% 76 +0.1 .241/.278/.342 .101.284 108 19% 4% 71 -0.3 .265/.292/.326.061.3087016%1%69-0.1
Phil Gosselin
2022 · MLB
33 52→62 45 45 48 .253/.313/.376 .123.311 126 22% 8% 95 +1.4 .238/.290/.357 .119.303 129 24% 6% 80 +0.4 .228/.274/.338.110.2979726%5%66-0.3
Mike Lansing
2001 · MLB
33 48→49 46→50 52→45 51 .239/.293/.369 .130.259 139 14% 7% 84 +0.6 .243/.293/.377 .134.266 148 14% 7% 87 +0.8 .245/.290/.376.131.26613513%6%82+0.3
Ramon Martinez
2006 · MLB
33 54→52 40→45 45→40 52 .260/.317/.353 .093.290 74 13% 7% 90 +1.0 .249/.309/.334 .085.274 74 11% 8% 82 +0.5 .244/.306/.308.063.2704210%8%72-0.1
Matt Treanor
2010 · MLB
34 50 43→40 48→40 52 .244/.321/.355 .111.292 115 20% 9% 94 +1.3 .215/.306/.309 .094.258 106 19% 10% 76 +0.0 .195/.299/.272.077.2368419%11%59-0.4
Taylor Davis
2022 · MLB
32 45→53 41→45 47→40 50 .221/.282/.312 .091.257 105 18% 8% 66 -0.6 .230/.286/.313 .083.279 77 19% 7% 67 -0.5 .243/.303/.272.029.3010018%7%63-0.2
Anthony Recker
2018 · MLB
34 42→48 47→50 49→45 44 .210/.284/.344 .134.285 145 30% 8% 76 +0.0 .215/.278/.370 .155.292 185 31% 7% 79 +0.3 .196/.261/.371.175.25722032%7%69-0.2
Angel Chavez
2013 · AAA
32 50→53 43→45 47→50 48 .244/.296/.345 .101.279 128 18% 7% 79 +0.3 .244/.303/.356 .112.285 1110 18% 8% 85 +0.7 .244/.306/.327.083.2885816%8%76+0.0
Chris Gomez
2004 · MLB
33 52→54 45 45→40 48 .253/.294/.387 .134.267 115 11% 5% 89 +1.0 .268/.324/.360 .092.291 76 10% 7% 95 +1.4 .285/.347/.354.069.311559%8%99+0.7
Francisco Cordoba
2017 · AAA
33 46→53 43→45 44→40 43 .227/.278/.333 .106.275 114 22% 5% 69 -0.4 .216/.267/.326 .110.256 134 21% 5% 63 -0.9 .206/.260/.339.133.22920020%6%62-0.5
Juan Lagares
2021 · MLB
32 49→59 44→45 50 47 .239/.302/.359 .120.303 1111 24% 8% 86 +0.8 .227/.269/.354 .127.284 116 23% 5% 70 -0.3 .229/.259/.363.134.28411223%4%67-0.3