Drew MountOF Dayton Dragons
Age 30 L/R 5'10" / 205 lbs A+ HR +9%K -4% Svc 0.0 · Ctrl thru 2035
wRC+†73
AVG/OBP/SLG.214 / .281 / .337
PA170
HR4
K%30
BB%7
MLB%0%
BAT: -5.3 runs (wOBA-derived runs vs avg)-5BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.0 runs (Positional adjustment)-1POSREP: +4.8 runs (Replacement-level credit)+5REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
-0.2peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
2035Extbeyond projection horizon · no WAR estimate
Totals $-3M $-3M +$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
201822 ROKBillings Mustangs 265249 581306 11583 72 .233.274.357.631 .124.278 224 .273 67 -10 +1 +0 -2 +8 -0.3
201923 A+Daytona Tortugas 297285 53921 91212 177 .186.216.242.458 .056.317 413 .201 12 -30 +1 +0 -2 +8 -2.3
202125 AA3 teams 290262 657214 169211 54 .248.318.450.769 .202.325 326 .328 109 +3 -1 +0 -2 +8 0.9
202327 AAA3 teams 142127 32612 6457 43 .252.321.362.684 .110.366 324 .296 84 -3 -0 +0 -1 +4 0.0
202428 A+2 teams 4335 3110 3144 10 .086.238.171.410 .086.136 337 .168 -13 -6 +0 +0 -0 +1 -0.4
▸ 2026 Season
202630 MLBCIN 170153 33614 12503 31 .216.286.346.632 .131.292 297 .280 73 -5 +0 +0 -1 +5 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLB 8%CIN 157143 31613 11462 21 .217.282.336.618 .119.291 297 .281 73 -5 +0 -3 -1 +4 -0.4
202832 MLB 18%CIN 150136 29513 11442 10 .213.282.331.613 .118.289 297 .280 72 -5 +0 -4 -1 +4 -0.5
202933 MLB 29%CIN 127115 26513 9382 10 .226.294.365.659 .139.288 307 .276 70 -4 +0 -4 -1 +4 -0.6
203034 MLB 43%CIN 9284 17302 7281 00 .202.272.310.581 .107.286 308 .271 66 -4 +0 -5 -1 +3 -0.7
▸ Career Totals (MLE all levels + projections)
Career 17331589 347611038 9553637 4118 .218.278.341.619 .123.301 315 .271 66 -67 +1 -15 -10 +49 -4.4
/ 162G 650596 13023414 3620114 157 .218.279.341.619 .122.301 316 .271 66 -25 +0 -6 -4 +18 -1.7

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
201822 ROKBillings Mustangs 265242 751908 18403 72 .310.365.488.853 .178.342 157 .375 145 +13 +1 +8 2.2
201923 A+Daytona Tortugas 297281 711241 13842 177 .253.291.335.625 .082.355 284 .281 73 -9 +1 +8 -0.0
202125 AAChattanooga Lookouts 215197 555211 14593 13 .279.336.492.829 .213.344 277 .363 136 +9 -1 +6 1.4
202125 ROKACL Reds 199 4201 406 20 .444.7371.0001.737 .556.375 021 .671 372 +6 +0 +1 0.7
202125 INTLSurprise Saguaros 5651 16500 3112 21 .314.375.412.787 .098.400 205 .356 131 +2 +0 +2 0.4
202327 AAALouisville Bats 7262 19503 4234 11 .306.386.532.918 .226.421 326 .394 159 +5 -0 +2 0.7
202327 AAChattanooga Lookouts 3432 9110 171 01 .281.324.375.699 .094.360 213 .314 98 -0 -0 +1 0.1
202327 ROKACL Reds 3629 9100 562 31 .310.444.345.789 .034.391 1714 .375 145 +2 +0 +1 0.3
202428 A+Dayton Dragons 2822 1000 382 00 .045.222.045.268 .000.067 2911 .160 -20 -4 +0 +1 -0.3
202428 ROKACL Reds 1511 2110 232 10 .182.400.455.855 .273.250 2013 .384 152 +1 +0 +0 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
Drew Mount (OGILVIE) 30 .214/.281/.337 .123.292 43 30% 7% 73 -0.0
Brett Carroll
2013 · MLB
30 42→45 47→55 47→50 43 .215/.279/.349 .135.272 1511 26% 6% 75 -0.0 .208/.273/.344 .136.278 1611 30% 7% 71 -0.3 .183/.263/.334.151.230221131%8%60-0.5
Ryan Cordell
2021 · MLB
29 42→41 45→55 49→50 40 .211/.264/.333 .122.283 1311 30% 6% 63 -0.8 .207/.271/.370 .163.326 2214 41% 7% 77 +0.1 .151/.220/.316.164.233261847%7%40-0.9
Cole Sturgeon
2022 · AAA
30 48→49 46→45 49→50 40 .237/.286/.366 .129.310 1310 27% 5% 81 +0.4 .217/.270/.324 .107.260 1112 21% 6% 63 -0.8 .208/.262/.302.094.247101120%6%51-1.3
D.J. Peterson
2022 · AAA
30 40→44 48→55 50→40 39 .209/.262/.347 .138.280 1610 31% 5% 67 -0.5 .208/.279/.374 .166.290 216 34% 7% 82 +0.5 .176/.257/.344.168.23623135%8%62-0.5
JT Riddle
2022 · MLB
30 37→47 45→50 47→45 40 .192/.236/.312 .120.229 127 23% 4% 46 -2.0 .212/.247/.341 .129.261 145 24% 3% 58 -1.2 .214/.238/.355.141.26415025%2%55-0.8
Corey Smith
2012 · AAA
30 42→46 46→55 47→50 39 .217/.257/.345 .129.275 148 27% 5% 63 -0.8 .227/.271/.376 .149.288 177 27% 5% 78 +0.2 .231/.275/.409.178.28022426%5%85+0.5
Matt Padgett
2007 · AAA
30 48→49 46→50 48→30 41 .234/.290/.367 .133.328 135 32% 7% 83 +0.6 .224/.266/.351 .127.287 134 26% 5% 69 -0.4 .229/.270/.355.126.29613127%5%71-0.2
Clete Thomas
2014 · MLB
30 42→52 47→50 49→55 41 .212/.266/.350 .137.290 1514 32% 6% 69 -0.4 .220/.282/.336 .116.295 1114 27% 8% 72 -0.2 .214/.281/.286.072.29432126%8%56-0.5
Jose Manuel Orozco
2019 · AAA
28 45 47→50 47→45 39 .224/.271/.354 .130.303 1510 31% 6% 72 -0.2 .234/.282/.385 .151.334 1710 34% 5% 85 +0.7 .237/.283/.399.163.34220635%5%87+0.4
Matt Skole
2019 · AAA
30 37→39 48→50 47→40 44 .197/.260/.338 .141.252 174 29% 7% 64 -0.8 .206/.282/.350 .144.283 174 31% 9% 76 +0.1 .193/.282/.343.150.26020032%11%75-0.0
Jason Smith
2007 · MLB
30 44→35 49→55 53→50 39 .225/.269/.376 .151.292 1613 28% 5% 76 +0.1 .207/.243/.354 .147.291 179 34% 4% 60 -1.0 .178/.208/.309.131.25416737%3%31-1.7
Nick Tanielu
2023 · AAA
30 39→49 45→50 48→40 44 .199/.258/.320 .121.250 126 26% 6% 58 -1.2 .214/.276/.360 .146.280 157 28% 6% 76 +0.1 .199/.270/.381.182.26120231%6%77+0.0
Jake Hager
2023 · MLB
30 41→51 45→50 50 45 .205/.269/.326 .121.270 1211 28% 8% 64 -0.8 .203/.255/.313 .110.287 98 31% 6% 54 -1.4 .181/.222/.281.100.2686234%4%28-0.9
David Matranga
2007 · AAA
30 38 44→45 47→50 42 .195/.261/.312 .117.253 1310 28% 6% 58 -1.2 .211/.282/.335 .124.279 1411 28% 7% 72 -0.2 .212/.294/.334.122.28413928%8%75+0.0
Jason Pridie
2014 · MLB
30 46→53 46→50 53→55 42 .231/.279/.360 .129.297 1310 27% 6% 76 +0.1 .238/.285/.377 .139.295 1619 24% 6% 83 +0.6 .243/.290/.386.144.292172423%6%86+0.6
Cory Aldridge
2009 · AAA
30 45→51 46→55 44→45 43 .223/.282/.357 .134.306 137 30% 8% 77 +0.1 .239/.288/.407 .168.316 204 30% 6% 93 +1.3 .218/.283/.396.178.29528535%8%87+0.4
Kristopher Negrón
2016 · MLB
30 43→50 41→45 52→55 41 .210/.264/.309 .099.275 914 27% 5% 57 -1.2 .219/.273/.336 .117.292 1117 28% 5% 68 -0.5 .225/.289/.349.123.323141432%7%74-0.0
Roberto Macias
2009 · AAA
29 47 42→45 46→40 40 .231/.276/.335 .104.305 107 27% 5% 68 -0.5 .258/.309/.384 .126.322 117 22% 6% 95 +1.4 .297/.347/.429.132.36710020%6%123+0.6
Reid Brignac
2016 · MLB
30 44→51 41→55 47→50 47 .214/.276/.314 .100.271 97 24% 7% 63 -0.8 .216/.277/.324 .108.288 107 27% 7% 66 -0.6 .207/.269/.312.105.28411630%7%57-0.9
Matthew den Dekker
2018 · MLB
30 40→50 45→50 51→55 41 .203/.258/.328 .125.267 1317 29% 6% 59 -1.1 .215/.258/.360 .145.298 1514 32% 5% 68 -0.5 .209/.246/.367.157.289171133%5%61-0.6