Ian MollerC Frisco RoughRiders
Age 23 R/R 6'0" / 190 lbs AA K +3% Svc 0.0 · Ctrl thru 2034 peak 0.6 · 2030
wRC+†47
AVG/OBP/SLG.175 / .251 / .258
PA320
HR4
SB7
K%37
BB%9
MLB%2%
BAT: -19.3 runs (wOBA-derived runs vs avg)-19BATRUN: +0.7 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +5.7 runs (Positional adjustment)+6POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.40-0.4WAR
Scouting · nowfuture
HIT
3030
PWR
3535
SPD
5050
EYE
5255
trajectory · 10 yrs
0.6peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M+0.5$2M+$1M
2030Arb-2$0.9M+0.6$3M+$2M
2031Arb-3$0.9M+0.4$2M+$1.0M
2032Ext / FA-deal$0.6M+0.3$1M+$0.8M
2033Ext / FA-deal$5M+0.1$0.5M-$5M
2034Ext / FA-deal$0.6M
Totals $9M $8M -$1M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202118 ROKACL Rangers 6355 7202 4304 02 .127.238.273.511 .145.217 486 .230 34 -5 -1 +0 +1 +2 -0.3
202219 ADown East Wood Ducks 235202 31405 29892 182 .153.266.248.514 .094.236 3812 .239 41 -16 +3 +0 +4 +7 -0.2
202320 A2 teams 431382 551015 441713 81 .144.238.215.452 .071.240 4010 .214 22 -38 +1 +0 +8 +12 -1.7
202421 A+Hickory Crawdads 321287 451012 321081 160 .157.244.220.463 .063.242 3410 .213 21 -29 +3 +0 +6 +9 -1.1
202522 AAFrisco RoughRiders 289265 43803 211181 72 .162.226.226.453 .064.276 417 .211 20 -26 +1 +0 +5 +8 -1.3
▸ 2026 Season (actual · ROS · total)
202623 AAFrisco RoughRiders 4440 9102 3150 10 .225.279.400.679 .175.304 347 .272 66 -2 +0 +0 +1 +1 0.1
ROS23 MLBTEX 276249 44814 241011 61 .177.252.265.517 .088.279 379 .242 44 -18 +1 +0 +5 +8 -0.4
TOT23 MLBTEX 320289 53916 271161 71 .183.256.284.539 .100.280 368 .246 47 -19 +1 +0 +6 +9 -0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 11%TEX 368329 641217 341172 81 .195.274.301.575 .106.271 329 .259 56 -18 +1 +0 +7 +10 0.0
202825 MLB 26%TEX 413370 721318 381282 91 .195.273.300.573 .105.273 319 .267 62 -18 +1 +0 +7 +12 0.3
202926 MLB 44%TEX 441394 791519 421352 91 .201.281.312.593 .112.275 3110 .272 66 -17 +1 +0 +8 +12 0.5
203027 MLB 59%TEX 451402 8115110 431383 91 .201.283.318.602 .117.275 3110 .273 67 -17 +1 +0 +8 +13 0.6
203128 MLB 69%TEX 453404 8115110 441392 81 .200.282.317.599 .116.275 3110 .272 66 -17 +1 -1 +8 +13 0.4
203229 MLB 77%TEX 447399 791519 431382 80 .198.279.308.588 .110.274 3110 .270 65 -18 +2 -1 +8 +13 0.3
203330 MLB 85%TEX 440392 761419 431382 70 .194.277.304.580 .110.272 3110 .267 62 -19 +1 -2 +8 +12 0.1
203431 MLB 91%TEX 414369 711318 401312 50 .192.275.298.573 .106.271 3210 .263 59 -19 +1 -3 +7 +12 -0.2
203532 MLBTEX 384342 651217 371242 40 .190.273.292.565 .102.269 3210 .258 56 -19 +1 -4 +7 +11 -0.4
203633 MLBTEX 346308 571016 331142 30 .185.268.282.551 .097.267 3310 .253 52 -19 +1 -4 +6 +10 -0.7
203734 MLBTEX 296265 49915 281001 20 .185.265.283.548 .098.265 349 .247 47 -18 +0 -5 +5 +8 -0.9
▸ Career Totals (MLE all levels + projections)
Career 60685414 99918514109 579201934 12713 .185.267.284.552 .100.269 3310 .253 52 -329 +20 -20 +108 +172 -4.9
/ 162G 650580 10720112 622164 141 .184.268.284.552 .100.268 3310 .253 52 -35 +2 -2 +12 +18 -0.5

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
202118 ROKACL Rangers 6350 11403 9204 02 .220.381.480.861 .260.296 3214 .384 152 +4 -1 +2 0.5
202219 ADown East Wood Ducks 235184 37605 47632 182 .201.369.315.684 .114.271 2720 .323 105 +1 +3 +7 1.1
202320 ADown East Wood Ducks 394326 621226 631123 81 .190.327.294.621 .104.267 2816 .293 82 -8 +1 +11 0.4
202320 INTLSurprise Saguaros 3733 7200 4130 00 .212.297.273.570 .061.350 3511 .267 63 -2 +0 +1 -0.1
202421 A+Hickory Crawdads 321265 551312 54821 160 .208.344.287.631 .079.291 2617 .300 87 -5 +3 +9 0.8
202522 AAFrisco RoughRiders 289251 521004 35871 72 .207.307.295.601 .088.298 3012 .279 72 -9 +1 +8 -0.0

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
Ian Moller (OGILVIE) 23 30 35 50 55 .175/.251/.258 .084.277 47 37% 9% 40 -1.3
Dylan Neuse
2023 · A
24 37 39→40 49→50 44 .183/.260/.264 .081.271 814 33% 9% 45 -2.1 .205/.286/.296 .091.292 713 29% 9% 63 -0.8 .211/.301/.305.094.29351327%10%72-0.1
Blake Hunt
2022 · AA
23 36 43→50 49→40 40 .184/.244/.291 .107.270 104 35% 7% 44 -2.1 .200/.256/.326 .126.277 134 32% 6% 59 -1.1 .206/.268/.347.141.26215227%6%67-0.3
Claudio Finol
2023 · AA
23 39 38→40 49→45 40 .187/.243/.265 .078.259 58 29% 6% 37 -2.7 .205/.266/.297 .092.292 810 31% 7% 55 -1.4 .195/.264/.279.084.281101232%7%48-0.5
Corey Joyce
2022 · AA
23 41 39→45 53→50 39 .193/.262/.274 .080.300 713 36% 7% 48 -1.9 .208/.307/.328 .120.294 1212 31% 10% 82 +0.5 .212/.315/.318.105.30191429%10%80+0.2
Nick Quintana
2021 · A
23 39→40 39→45 49→45 37 .187/.241/.273 .085.291 69 36% 6% 37 -2.6 .183/.266/.292 .109.257 115 31% 9% 55 -1.4 .165/.258/.271.106.22711331%10%44-1.1
Steven Baron
2014 · A
23 36 40→45 52→50 36 .183/.218/.281 .098.255 79 31% 4% 30 -3.1 .212/.258/.297 .085.293 59 28% 6% 50 -1.7 .233/.289/.308.075.3134825%7%63-0.4
Tyler Grimes
2013 · A
23 38 42→40 47→40 41 .187/.266/.294 .107.282 98 35% 8% 55 -1.4 .206/.282/.301 .095.307 75 33% 7% 63 -0.8 .207/.285/.293.087.3116232%7%60-0.6
Juan Zabala
2022 · AA
23 40 43→40 46→50 37 .196/.253/.305 .109.301 117 37% 6% 52 -1.6 .215/.278/.307 .092.296 916 28% 7% 63 -0.9 .203/.265/.285.083.28381630%7%48-0.8
Grayson Greiner
2016 · A
23 38 38→45 46→30 37 .185/.238/.260 .075.283 63 35% 6% 33 -2.9 .212/.264/.314 .102.298 93 30% 6% 58 -1.2 .218/.278/.331.113.29311028%7%66-0.4
Mike Martin
2016 · A
23 41 35→30 52→55 42 .188/.277/.248 .060.302 312 35% 8% 49 -1.8 .222/.280/.282 .060.288 317 22% 6% 56 -1.3 .244/.292/.297.053.29922318%5%62-0.3
Grae Kessinger
2022 · AA
24 37→29 42→45 48→50 42 .191/.254/.286 .095.257 1114 30% 7% 47 -1.9 .192/.267/.310 .118.259 1415 30% 8% 59 -1.1 .186/.266/.299.113.246141429%9%54-0.9
Jason Lopez
2022 · AA
24 38 42→50 52→45 40 .189/.250/.291 .102.286 1011 36% 7% 46 -2.0 .204/.266/.313 .109.307 119 35% 7% 59 -1.1 .164/.224/.258.094.23510033%7%25-0.6
Johan Lopez
2023 · AA
23 39 44→45 51→55 40 .195/.268/.308 .113.290 1213 35% 7% 59 -1.1 .200/.270/.300 .100.307 912 35% 8% 58 -1.2 .166/.253/.240.073.27641137%10%33-0.6
Justin Twine
2019 · AA
23 42→30 39→40 48→50 32 .202/.241/.290 .087.299 710 34% 3% 41 -2.3 .208/.247/.294 .086.309 611 33% 4% 45 -2.1 .192/.230/.271.079.30651437%3%29-1.7
Ethan Murray
2023 · AA
23 38→48 41→40 51→50 43 .188/.257/.286 .099.271 813 32% 8% 49 -1.8 .198/.270/.294 .096.294 712 32% 8% 56 -1.3 .194/.271/.287.093.28671332%8%52-1.0
Ryan Dent
2012 · AA
23 39→42 40 46→50 38 .190/.242/.279 .089.275 712 32% 6% 40 -2.4 .205/.258/.279 .074.285 612 28% 6% 46 -2.0 .207/.258/.294.088.28961229%5%48-1.0
Vicente Conde
2017 · AA
23 39→33 39→45 46→45 43 .190/.253/.278 .088.271 68 31% 8% 44 -2.1 .174/.247/.259 .085.257 66 32% 8% 38 -2.6 .103/.199/.174.071.1656239%10%-6-1.7
Matt Pagnozzi
2006 · AA
23 38 37→45 45→40 41 .184/.246/.257 .073.269 47 31% 7% 37 -2.7 .188/.241/.268 .080.270 54 31% 5% 37 -2.7 .210/.275/.291.081.2897028%7%55-0.6
Braulio Vasquez
2021 · A
22 40 39→40 44→65 37 .193/.250/.274 .080.298 77 36% 6% 42 -2.3 .205/.278/.298 .093.301 729 32% 7% 61 -1.0 .200/.277/.293.093.28774230%7%55-0.6
Arquímedes Gamboa
2021 · AA
23 38→43 36→40 50 45 .180/.255/.246 .066.273 313 33% 9% 37 -2.6 .198/.277/.295 .097.290 914 32% 10% 59 -1.1 .195/.282/.288.093.28981532%10%56-0.7