Jordan GroshansSS Columbus Clingstones
Age 26 R/R 6'2" / 200 lbs AA BB -5% Svc 4.000 · Ctrl thru 2027 peak 0.1 · 2027
wRC+†65
AVG/OBP/SLG.230 / .290 / .309
PA250
HR3
K%20
BB%7
MLB%2%
BAT: -9.9 runs (wOBA-derived runs vs avg)-10BATRUN: -0.7 runs (SB/CS + UBR baserunning)-1RUNFLD: -0.1 runs (Defensive runs vs avg)-0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.30-0.3WAR
Scouting · nowfuture
HIT
6060
PWR
3030
SPD
4040
EYE
4440
trajectory · 10 yrs
0.4peak
2027

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$0.6M+0.1$0.4M+$0.0M (cut)
Totals $-0.8M $-0.8M +$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
201818 ROKBluefield Blue Jays 207191 42904 10533 00 .220.270.330.599 .110.277 265 .260 57 -10 +0 +0 +1 +6 -0.3
201919 ALansing Lugnuts 9687 24501 9280 11 .276.344.368.712 .092.397 299 .321 104 +0 -0 +0 +0 +3 0.3
202121 AANew Hampshire Fisher Cats 316288 701906 24791 00 .243.304.372.675 .128.311 258 .298 86 -5 +0 +0 +1 +9 0.5
202222 AAA3 teams 497449 1061504 431002 30 .236.306.296.602 .060.293 209 .268 63 -21 +1 -1 +2 +14 -0.5
202323 AAAJacksonville Jumbo Shrimp 528482 1051815 441061 00 .218.285.290.575 .073.269 208 .261 58 -25 +0 +0 +2 +15 -0.8
202424 AA2 teams 383352 671014 26881 03 .190.248.259.507 .068.239 237 .227 32 -30 -1 +0 +1 +11 -1.9
202525 AA2 teams 275252 61713 17484 01 .242.300.313.614 .071.286 176 .270 65 -11 -0 +0 +1 +8 -0.3
▸ 2026 Season (actual · ROS · total)
202626 AAColumbus Clingstones 7570 14123 5190 01 .200.253.400.653 .200.229 257 .260 57 -4 -0 +0 +0 +2 -0.2
ROS26 MLBATL 175159 36513 13371 11 .226.289.327.616 .101.276 217 .275 68 -6 -0 -0 +1 +5 -0.1
TOT26 MLBATL 250229 50636 18561 12 .218.278.349.628 .131.262 227 .270 65 -10 -1 -0 +1 +7 -0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 11%ATL 360327 761226 28642 12 .232.297.336.633 .104.268 188 .284 76 -10 -1 -0 +1 +10 0.1
202828 MLB 22%ATL 378343 781226 30692 01 .227.293.327.620 .099.270 188 .286 77 -10 -0 -1 +1 +11 0.1
202929 MLB 34%ATL 379343 791227 31722 01 .230.298.338.636 .108.270 198 .286 77 -10 -0 -2 +1 +11 0.0
203030 MLB 44%ATL 380344 781226 31732 01 .227.294.326.620 .099.270 198 .284 76 -10 -0 -2 +1 +11 -0.1
203131 MLB 53%ATL 365331 751226 29722 00 .227.293.329.622 .103.269 208 .281 73 -11 +0 -3 +1 +10 -0.3
203232 MLB 64%ATL 346313 701125 28702 00 .224.292.319.611 .096.268 208 .276 70 -12 +0 -4 +1 +10 -0.5
203333 MLB 74%ATL 316286 631024 25662 00 .220.288.311.599 .091.267 218 .272 66 -12 +0 -4 +1 +9 -0.7
203434 MLB 91%ATL 272247 53814 22591 00 .215.281.304.585 .089.266 228 .266 62 -12 +0 -5 +1 +8 -0.8
▸ Career Totals (MLE all levels + projections)
Career 52734794 10831771974 410108428 611 .226.291.317.608 .091.275 218 .273 67 -194 -3 -22 +19 +149 -5.2
/ 162G 650591 1332229 511343 11 .225.290.315.605 .090.274 218 .273 67 -24 -0 -3 +2 +18 -0.6

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
201818 ROKBluefield Blue Jays 207186 551305 15373 00 .296.358.446.804 .151.340 187 .354 129 +7 +0 +6 1.3
201919 ALansing Lugnuts 9683 28602 13210 11 .337.427.482.909 .145.433 2214 .407 169 +8 -0 +3 1.0
202121 AANew Hampshire Fisher Cats 316278 812307 34611 00 .291.371.450.820 .158.347 1911 .363 136 +13 +0 +9 2.2
202222 MLBMiami Marlins 6561 16001 4130 00 .262.308.311.619 .049.319 206 .284 75 -2 +0 -1 +2 +2 0.1
202222 AAAJacksonville Jumbo Shrimp 412353 941503 54652 30 .266.367.334.701 .068.316 1613 .324 106 +3 +1 +12 1.5
202222 ADunedin Blue Jays 2019 4100 150 00 .211.250.263.513 .053.286 255 .235 38 -1 +0 +1 -0.1
202323 AAAJacksonville Jumbo Shrimp 528460 1122016 66921 00 .243.340.330.670 .087.292 1712 .310 95 -3 +0 +15 1.2
202424 AAAScranton/Wilkes-Barre RailRiders 6357 13201 6110 01 .228.302.316.617 .088.267 1710 .284 75 -2 -0 +2 -0.0
202424 AAMidland RockHounds 320283 671213 32561 02 .237.316.318.634 .081.281 1810 .289 79 -7 -1 +9 0.1
202525 AAAOmaha Storm Chasers 2520 4200 431 00 .200.360.300.660 .100.235 1216 .316 100 +0 +0 +1 0.1
202525 AANorthwest Arkansas Naturals 250223 65613 22353 01 .291.363.368.731 .076.332 149 .332 112 +3 -0 +7 1.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career 6561 16001 4130 00 .262.308.311.619 .049.319 206 .284 75 -2 +0 -1 +2 +2 0.1

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
Jordan Groshans (OGILVIE) 26 60 30 40 40 .230/.290/.309 .080.284 31 20% 7% 68 -0.2
Emerson Landoni
2015 · AA
26 50→60 37→40 38→45 44 .236/.286/.307 .071.290 55 20% 5% 65 -0.7 .246/.287/.314 .068.295 36 17% 5% 66 -0.6 .250/.283/.308.058.2951315%4%59-0.4
Angel Sanchez
2010 · AAA
26 51→60 39→40 42→45 46 .240/.286/.327 .087.287 55 18% 6% 70 -0.3 .251/.299/.320 .069.295 46 15% 6% 73 -0.1 .260/.311/.314.054.2972713%6%74-0.0
Ofilio Castro
2010 · AAA
26 54→56 38→40 37→45 46 .256/.299/.335 .079.303 44 17% 6% 77 +0.1 .229/.279/.310 .081.273 65 18% 6% 63 -0.8 .192/.246/.239.046.2262215%6%30-1.2
Yolbert Sanchez
2023 · AAA
26 54→57 38→30 43→45 44 .258/.296/.331 .073.305 79 18% 5% 75 -0.0 .251/.285/.316 .065.310 58 20% 4% 66 -0.6 .256/.286/.310.054.3183620%3%63-0.6
Chris Gutierrez
2010 · AAA
26 47→57 37→40 38→45 50 .218/.294/.296 .078.285 43 24% 9% 66 -0.6 .232/.309/.303 .071.318 27 25% 9% 74 -0.1 .227/.306/.293.066.3072724%9%68-0.4
Luis Martinez
2011 · AAA
26 51→57 37→40 44→40 49 .240/.306/.315 .075.305 54 22% 8% 76 +0.0 .243/.300/.329 .086.319 55 23% 7% 77 +0.1 .240/.294/.328.088.3193224%6%71-0.1
Ray Chang
2010 · AAA
26 50→56 39→40 40 46 .239/.298/.337 .099.286 55 18% 6% 79 +0.3 .248/.305/.342 .094.292 73 17% 6% 82 +0.5 .244/.297/.320.076.2875216%5%70-0.2
Sergio Burruel
2017 · AAA
26 50 38→30 39→30 44 .240/.288/.309 .069.296 75 21% 6% 66 -0.6 .243/.300/.331 .088.296 85 19% 7% 77 +0.1 .250/.321/.351.101.30510020%9%89+0.4
Clayton Daniel
2021 · AA
26 50 38→40 44→40 50 .235/.292/.317 .082.273 56 16% 7% 70 -0.3 .218/.271/.304 .086.284 87 25% 7% 58 -1.2 .197/.246/.253.056.2596225%6%30-1.0
Pedro Lopez
2010 · MLB
26 50→56 37→40 41→45 45 .239/.279/.304 .065.279 55 16% 5% 60 -1.0 .219/.262/.296 .077.263 69 18% 5% 52 -1.6 .233/.282/.278.045.2701813%6%53-0.6
Matt Cline
2012 · AA
26 50→57 36→30 43→50 49 .234/.308/.303 .070.289 39 19% 7% 75 -0.0 .207/.269/.284 .077.260 57 21% 7% 53 -1.5 .137/.184/.172.036.1654019%5%-15-1.3
Leonardo Reginatto
2016 · AAA
26 55→62 36→40 44→45 47 .257/.306/.325 .067.306 37 17% 6% 77 +0.1 .237/.279/.304 .067.297 46 20% 5% 61 -1.0 .230/.271/.289.058.2953522%5%52-1.0
Austin Wynns
2017 · AAA
26 48→52 39→45 44→30 43 .228/.270/.313 .085.282 63 21% 5% 60 -1.0 .238/.292/.343 .105.292 113 22% 6% 77 +0.1 .244/.309/.343.100.31210224%7%82+0.2
Matt Tupman
2006 · AA
26 50→52 37→30 44→30 48 .234/.299/.310 .076.289 55 20% 7% 72 -0.2 .244/.309/.308 .064.288 44 15% 8% 76 +0.0 .243/.305/.295.052.2823114%8%67-0.3
Kyle Knudson
2014 · AA
26 49 37→30 40→30 46 .228/.296/.298 .070.303 43 25% 7% 68 -0.5 .218/.269/.290 .072.297 34 26% 5% 54 -1.4 .201/.237/.256.054.2820027%3%28-1.5
Daniel Castro
2019 · MLB
26 50→57 38→40 41→50 43 .238/.267/.314 .075.268 54 14% 4% 58 -1.2 .219/.259/.299 .080.246 77 14% 4% 52 -1.6 .191/.236/.239.047.2134512%4%24-1.8
Derrick Chung
2015 · AA
27 52 36→30 38→45 47 .245/.291/.310 .066.283 24 14% 5% 67 -0.5 .233/.291/.307 .074.276 46 16% 7% 67 -0.5 .218/.294/.263.045.2570014%9%59-0.2
Carlos Alonso
2015 · AA
27 51→53 39→40 44→40 49 .241/.310/.328 .086.289 65 18% 7% 82 +0.5 .228/.296/.321 .093.285 78 21% 8% 73 -0.1 .171/.238/.250.078.2315426%7%27-0.6
Greg Sexton
2011 · AA
26 48→51 38→40 40 45 .229/.280/.305 .076.282 55 20% 6% 63 -0.9 .229/.288/.323 .094.275 73 18% 7% 71 -0.3 .229/.289/.335.106.2668016%7%71-0.2
Jake Romanski
2017 · AA
26 52 38→40 41→45 42 .247/.279/.325 .078.291 56 17% 4% 66 -0.6 .230/.258/.303 .073.282 54 20% 3% 51 -1.7 .210/.228/.243.033.2682022%1%18-1.0