Tomás NidoC Toledo Mud Hens
Age 32 R/R 6'0" / 211 lbs AAA HR +5%H +3% Svc 8.000 · Ctrl thru 2026 peak 0.3 · 2026
wRC+†vL -1253vR 79
AVG/OBP/SLG.195 / .237 / .302
PA254
HR6
K%27
BB%4
MLB%10%
BAT: -13.6 runs (wOBA-derived runs vs avg)-14BATRUN: -0.7 runs (SB/CS + UBR baserunning)-1RUNFLD: +4.1 runs (Defensive runs vs avg)+4FLDPOS: +4.5 runs (Positional adjustment)+5POSREP: +7.2 runs (Replacement-level credit)+7REPTotal WAR: +0.30+0.3WAR
Scouting · nowfuture
HIT
4040
PWR
5050
SPD
3535
EYE
3630
trajectory · 10 yrs
-0.4peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2018
Service   8.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$0.9M+0.3$1M+$0.3M
Totals $0.9M $1M +$0.3M

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
201218 ROKKingsport Mets 140128 24402 8331 10 .188.241.266.507 .078.229 246 .222 28 -11 +0 +0 +3 +4 -0.5
201521 ASavannah Sand Gnats 335322 671026 71111 11 .208.227.307.535 .099.292 332 .230 34 -25 -0 +0 +6 +9 -1.0
201622 A+St. Lucie Mets 370349 1002226 14633 01 .287.320.413.732 .126.331 174 .316 100 +0 -0 +0 +7 +10 1.7
201723 AA2 teams 460427 921816 24871 00 .215.259.304.563 .089.251 195 .247 47 -27 +0 +0 +8 +13 -0.6
201824 AA4 teams 366347 812416 11822 00 .233.261.360.621 .127.283 223 .265 61 -16 +0 +3 +7 +10 0.4
201925 MLB3 teams 217206 42704 9620 00 .204.237.296.533 .092.270 294 .233 37 -16 +0 +4 +4 +6 -0.2
202026 MLBNew York Mets 2624 7102 260 00 .292.346.583.929 .292.312 238 .403 166 +2 +0 +2 +0 +1 0.5
202127 MLBNew York Mets 161153 34513 5443 10 .222.261.327.588 .105.292 273 .258 55 -8 +0 +11 +3 +5 1.0
202228 MLBNew York Mets 313284 701603 14761 00 .246.284.335.619 .088.324 244 .265 61 -14 +0 +18 +6 +9 1.9
202329 AAA3 teams 222209 45304 10570 00 .215.251.287.538 .072.275 265 .231 35 -16 +0 +2 +4 +6 -0.5
202430 MLB2 teams 181170 37705 5440 00 .218.240.347.587 .129.260 243 .245 46 -11 +0 +6 +3 +5 0.3
202531 AAA3 teams 247231 49605 8684 00 .212.251.303.554 .091.277 283 .243 44 -16 +0 +1 +4 +7 -0.4
▸ 2026 Season (actual · ROS · total)
202632 AAAToledo Mud Hens 4742 11400 380 00 .262.311.357.668 .095.324 176 .281 73 -1 +0 +0 +1 +1 0.1
ROS32 MLBDET 207193 39704 10542 10 .202.249.301.549 .098.252 265 .248 48 -12 +0 +4 +4 +6 0.2
TOT32 MLBDET 254235 501104 13622 10 .213.260.311.571 .098.271 245 .254 53 -14 +0 +4 +5 +7 0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLB 20%DET 204191 37604 10511 00 .194.238.288.526 .094.245 255 .245 46 -12 +0 -0 +4 +6 -0.3
202834 MLB 33%DET 160150 29503 8411 00 .193.239.287.526 .093.243 265 .239 41 -11 +0 -2 +3 +5 -0.5
▸ Career Totals (MLE all levels + projections)
Career 36093384 753141763 14587920 42 .223.259.324.583 .102.279 244 .254 53 -194 +0 +47 +64 +102 2.1
/ 162G 650609 13525111 261584 10 .222.258.320.578 .099.278 244 .254 53 -35 +0 +9 +12 +18 0.4

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
201218 ROKKingsport Mets 140124 30602 12231 10 .242.314.339.653 .097.275 169 .292 82 -3 +0 +4 0.1
201521 ASavannah Sand Gnats 335317 821426 12861 11 .259.288.372.660 .114.332 264 .290 80 -8 -0 +9 0.2
201622 A+St. Lucie Mets 370344 1102327 19423 01 .320.361.459.820 .140.344 115 .360 134 +14 -0 +10 2.5
201723 AABinghamton Rumble Ponies 404367 851918 30631 00 .232.291.354.646 .123.255 167 .287 78 -10 +0 +11 0.1
201723 INTLScottsdale Scorpions 5649 9401 5130 00 .184.259.327.586 .143.216 239 .256 54 -3 +0 +2 -0.1
201824 MLBNew York Mets 9084 14301 4270 00 .167.205.238.443 .071.224 304 .197 9 -9 +0 +3 +7 +3 0.3
201824 AAALas Vegas 51s 1917 4200 220 00 .235.316.353.669 .118.267 1111 .304 91 -0 +0 +1 0.0
201824 AABinghamton Rumble Ponies 228215 591815 7362 00 .274.304.437.741 .163.303 163 .321 104 +1 +0 +6 0.8
201824 INTLIndios de Mayaguez 2928 5000 160 00 .179.207.179.385 .000.227 213 .180 -4 -3 +0 +1 -0.3
201925 MLBNew York Mets 144136 26504 7370 00 .191.231.316.547 .125.232 265 .243 44 -9 +0 +4 +4 +4 0.3
201925 AAASyracuse Mets 4038 11100 1130 00 .289.308.316.623 .026.423 322 .276 69 -1 +0 +1 -0.0
201925 INTLCriollos de Caguas 3331 8200 260 00 .258.303.323.626 .065.320 186 .285 76 -1 +0 +1 0.0
202026 MLBNew York Mets 2624 7102 260 00 .292.346.583.929 .292.312 238 .402 166 +2 +0 +2 +0 +1 0.5
202127 MLBNew York Mets 161153 34513 5443 10 .222.261.327.588 .105.292 273 .265 61 -7 +0 +11 +3 +5 1.1
202228 MLBNew York Mets 313284 681503 14761 00 .239.278.324.602 .085.314 244 .260 57 -15 +0 +18 +6 +9 1.7
202329 MLBNew York Mets 6156 7000 2180 00 .125.155.125.280 .000.179 303 .127 -45 -10 +0 +2 +4 +2 -0.3
202329 AAASyracuse Mets 146135 38304 11270 00 .281.336.393.728 .111.327 188 .328 109 +2 +0 +4 0.6
202329 ASt. Lucie Mets 1515 3001 030 00 .200.200.400.600 .200.182 200 .259 57 -1 +0 +0 -0.0
202430 MLBChicago Cubs 140130 25404 5350 00 .192.222.315.538 .123.226 254 .231 35 -10 +0 +6 +3 +4 0.3
202430 AAAToledo Mud Hens 4140 13301 080 00 .325.325.475.800 .150.387 200 .343 121 +1 +0 +1 0.2
202531 MLBDetroit Tigers 3735 12000 0101 00 .343.361.343.704 .000.480 270 .313 98 -0 +0 +1 +4 +1 0.6
202531 AAAToledo Mud Hens 189172 36605 11463 00 .209.269.331.600 .122.254 246 .268 63 -8 +0 +5 -0.3
202531 INTLCriollos de Caguas 2118 7100 220 00 .389.429.444.873 .056.438 1010 .386 154 +1 +0 +1 0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career 972902 19333117 392535 10 .214.251.309.560 .095.275 264 .246 46 -59 +0 +45 +31 +28 4.5

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
Tomás Nido (OGILVIE) 32 40 50 35 30 .195/.237/.302 .107.246 61 27% 4% 45 -0.9
Chad Moeller
2007 · MLB
32 41 44→50 39→30 44 .206/.263/.320 .114.249 123 23% 6% 59 -1.1 .212/.267/.325 .113.265 113 24% 6% 63 -0.9 .207/.260/.300.092.2575021%5%49-0.5
Drew Butera
2016 · MLB
32 40 41→40 43→40 45 .197/.257/.290 .093.243 94 23% 6% 50 -1.8 .230/.288/.357 .127.287 134 24% 7% 79 +0.3 .222/.282/.346.123.27613024%7%72-0.1
Nick Green
2011 · MLB
32 42→47 44→50 37→45 41 .213/.262/.334 .121.267 124 25% 5% 63 -0.9 .209/.259/.333 .124.259 125 24% 5% 62 -0.9 .198/.247/.315.118.24613325%4%50-1.1
Ryan Budde
2012 · AAA
32 40 41→45 41→40 41 .195/.260/.286 .092.293 95 35% 8% 50 -1.8 .191/.252/.279 .088.296 89 35% 7% 44 -2.1 .141/.201/.189.048.2262836%7%-2-1.8
J.C. Boscan
2013 · AAA
33 38 39→40 43→30 40 .191/.240/.276 .085.251 74 27% 5% 38 -2.6 .190/.238/.256 .066.252 55 25% 5% 32 -3.0 .177/.223/.214.037.2332223%5%11-1.3
Yamid Haad
2010 · AAA
32 43 42→45 44→40 39 .213/.250/.313 .100.274 106 26% 5% 52 -1.6 .236/.279/.346 .110.295 106 23% 5% 72 -0.2 .264/.309/.367.103.3208219%6%89+0.5
Eli Whiteside
2013 · MLB
33 41 42→50 43→40 43 .201/.262/.305 .104.258 95 25% 6% 55 -1.4 .179/.230/.276 .097.240 104 29% 5% 34 -2.8 .144/.191/.229.085.19110131%4%4-2.1
Paul Phillips
2008 · MLB
31 45→47 41→40 40→30 44 .216/.250/.308 .092.237 93 14% 4% 50 -1.8 .224/.263/.305 .081.256 64 15% 5% 54 -1.4 .227/.268/.295.068.2613114%5%50-0.6
Tuffy Gosewisch
2014 · MLB
30 42→44 43→45 39→40 41 .211/.253/.324 .113.249 114 21% 4% 56 -1.3 .217/.259/.324 .107.258 105 20% 5% 58 -1.2 .220/.265/.328.108.25511218%5%59-0.4
Dane Sardinha
2011 · MLB
32 35→32 45 47→30 35 .184/.225/.297 .113.253 134 33% 4% 37 -2.6 .193/.262/.291 .098.281 106 33% 7% 53 -1.5 .132/.248/.158.026.2190034%11%7-1.2
Sharlon Schoop
2018 · AAA
31 42→44 43→40 44→45 42 .211/.257/.318 .107.265 114 25% 5% 56 -1.3 .220/.278/.344 .124.288 137 27% 6% 72 -0.2 .197/.269/.280.084.2719029%7%50-0.3
Matt Pagnozzi
2015 · MLB
32 37 45 47→40 40 .193/.251/.306 .113.249 143 29% 6% 52 -1.6 .210/.265/.321 .111.268 136 26% 6% 61 -1.0 .206/.263/.282.076.2588022%7%49-0.7
Jackson Williams
2017 · MLB
31 42 37→45 40 45 .200/.256/.269 .070.254 54 23% 7% 43 -2.2 .200/.251/.275 .075.255 74 23% 6% 42 -2.3 .180/.234/.220.040.2395026%5%19-1.4
Jeff Mathis
2014 · MLB
31 39→46 45→50 44→45 42 .199/.253/.321 .122.260 134 29% 6% 56 -1.3 .210/.267/.320 .110.288 114 29% 7% 61 -1.0 .213/.264/.317.104.2918128%6%54-0.4
Chris Truby
2006 · MLB
32 40→43 50 42→45 43 .212/.259/.365 .153.251 195 25% 6% 69 -0.4 .205/.251/.328 .123.264 149 27% 6% 56 -1.3 .179/.230/.277.099.23591128%5%33-1.8
Ali Solis
2019 · AAA
31 40 42→45 46→30 34 .201/.236/.300 .100.285 106 33% 4% 42 -2.3 .210/.246/.358 .148.285 196 33% 4% 63 -0.9 .196/.230/.353.157.24923332%4%51-1.0
Mike Nickeas
2014 · MLB
31 40 39→40 44→40 45 .196/.252/.282 .086.240 74 21% 6% 45 -2.1 .205/.260/.300 .095.257 107 23% 6% 53 -1.5 .189/.243/.247.058.2329322%7%32-0.9
Joe Hudson
2022 · MLB
31 36 44→45 47→40 39 .188/.240/.299 .111.269 135 35% 6% 44 -2.1 .203/.283/.350 .147.288 198 34% 9% 77 +0.1 .183/.287/.336.152.26122836%11%73-0.0
Aramis Garcia
2023 · MLB
30 42→41 43→50 43→45 36 .212/.254/.318 .106.286 125 30% 4% 55 -1.4 .197/.247/.340 .143.272 207 34% 5% 59 -1.1 .174/.239/.321.147.23822637%6%49-0.8
Pat Valaika
2023 · MLB
30 42→46 44→55 41→50 41 .213/.257/.323 .110.267 134 26% 6% 57 -1.2 .206/.261/.316 .110.268 126 27% 7% 58 -1.2 .177/.242/.268.091.23311428%8%37-1.0