Jimmy GlowenkeSS Richmond Flying Squirrels
Age 27 R/R 5'10" / 200 lbs AA BB -3% Svc 0.0 · Ctrl thru 2034 peak 0.2 · 2026
wRC+†72
AVG/OBP/SLG.207 / .286 / .321
PA250
HR5
K%27
BB%7
MLB%2%
BAT: -8.0 runs (wOBA-derived runs vs avg)-8BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.7 runs (Positional adjustment)+3POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
3838
PWR
3838
SPD
4646
EYE
4242
trajectory · 10 yrs
0.3peak
2027

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+0.2$0.9M+$0.0M
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Extbeyond projection horizon · no WAR estimate
Totals $0.6M $-5M -$6M
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
202122 ASan Jose Giants 425381 7719211 2813815 33 .202.283.349.632 .147.283 327 .271 66 -17 -1 +0 +5 +12 -0.1
202223 A+2 teams 308282 441108 1612610 00 .156.227.280.507 .124.243 415 .216 23 -27 +0 +0 +3 +9 -1.5
202324 AA2 teams 394344 801909 319912 60 .233.318.366.684 .134.296 258 .299 87 -6 +1 +0 +4 +11 1.1
202425 AARichmond Flying Squirrels 392346 581206 2311118 52 .168.256.254.510 .087.224 286 .227 32 -30 +0 +0 +4 +11 -1.5
▸ 2026 Season
202627 MLBSF 250223 461005 17668 31 .206.286.318.605 .112.271 267 .279 72 -8 +0 +0 +3 +7 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 9%SF 267238 511115 19708 31 .214.294.332.626 .118.273 267 .282 74 -8 +0 -1 +3 +8 0.2
202829 MLB 19%SF 309275 581216 23828 31 .211.291.327.618 .116.274 277 .283 75 -9 +0 -1 +3 +9 0.2
202930 MLB 29%SF 336299 631317 25899 30 .211.291.331.622 .120.274 267 .282 74 -10 +1 -2 +4 +10 0.2
203031 MLB 40%SF 340303 641317 25919 20 .211.291.330.621 .119.273 277 .280 72 -11 +0 -3 +4 +10 0.0
203132 MLB 49%SF 334298 621316 25918 10 .208.287.319.606 .111.271 277 .275 69 -12 +0 -4 +4 +9 -0.2
203233 MLB 63%SF 312278 581216 23888 10 .209.288.324.612 .115.269 287 .270 65 -13 +0 -4 +3 +9 -0.4
203334 MLB 81%SF 273244 481005 20797 10 .197.277.299.576 .102.267 297 .263 60 -12 +0 -5 +3 +8 -0.7
▸ Career Totals (MLE all levels + projections)
Career 39403511 709155881 2751130120 318 .202.283.320.602 .118.271 297 .269 64 -161 +3 -20 +42 +112 -2.4
/ 162G 650579 11726113 4518620 51 .202.282.318.600 .116.272 297 .269 64 -27 +1 -3 +7 +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
202122 ASan Jose Giants 425360 9225213 4910015 33 .256.368.444.812 .189.319 2412 .364 137 +18 -1 +12 3.0
202223 A+Eugene Emeralds 282250 5314012 23889 00 .212.301.412.713 .200.273 318 .319 103 +1 +0 +8 0.9
202223 ROKACL Giants Orange 2623 6100 251 00 .261.346.304.651 .043.333 198 .305 92 -0 +0 +1 0.1
202324 AARichmond Flying Squirrels 289247 621307 32618 60 .251.355.389.744 .138.307 2111 .337 116 +5 +1 +8 1.5
202324 A+Eugene Emeralds 10583 261003 13154 00 .313.430.542.972 .229.333 1412 .408 171 +8 +0 +3 1.2
202425 AARichmond Flying Squirrels 392337 671607 328818 52 .199.302.309.611 .110.245 228 .282 74 -12 +0 +11 -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
Jimmy Glowenke (OGILVIE) 27 38 38 46 42 .207/.286/.321 .114.271 53 27% 7% 72 -0.1
Dominic Miroglio
2022 · AA
27 41 44→45 44→40 43 .205/.269/.321 .117.279 115 30% 7% 63 -0.9 .216/.284/.361 .145.260 155 23% 8% 80 +0.4 .203/.270/.374.171.21220216%7%72-0.1
Arturo Rodriguez
2019 · AAA
27 45→41 43→45 46→30 43 .223/.266/.329 .107.272 125 23% 5% 63 -0.9 .258/.294/.402 .144.289 196 18% 4% 94 +1.3 .282/.311/.427.146.30523216%3%103+1.0
Sharlon Schoop
2014 · AA
27 43→44 45→40 46→45 43 .219/.272/.337 .119.277 138 26% 6% 68 -0.5 .212/.259/.296 .084.278 74 25% 6% 51 -1.7 .204/.257/.319.115.25912026%6%52-0.5
Stevie Berman
2022 · AA
27 42 43→50 49→40 48 .208/.284/.316 .108.260 117 24% 8% 69 -0.4 .206/.292/.328 .122.270 135 27% 9% 76 +0.0 .190/.289/.313.123.25014128%10%69-0.1
Jake Kahaulelio
2012 · AA
27 43→44 43→45 45 44 .211/.272/.325 .114.259 117 23% 6% 66 -0.6 .212/.287/.313 .101.256 811 20% 7% 69 -0.4 .196/.305/.245.049.23102313%9%59-0.2
Julian Laurean
2011 · AAA
27 45 45→40 44→40 41 .224/.277/.347 .122.291 129 27% 6% 72 -0.2 .226/.281/.334 .108.280 97 22% 6% 71 -0.3 .222/.281/.307.085.2695018%6%64-0.3
Cody Clark
2009 · AA
27 43 42→45 47→40 41 .214/.262/.317 .103.260 106 22% 4% 59 -1.1 .222/.270/.348 .126.258 145 20% 5% 70 -0.3 .219/.268/.341.122.25112118%5%64-0.3
Chuckie Robinson
2022 · AA
27 40→50 45 47→45 40 .204/.266/.319 .115.281 138 31% 6% 61 -1.0 .228/.277/.351 .123.290 147 26% 5% 74 -0.1 .227/.276/.326.099.30112427%5%64-0.4
Gavin Collins
2022 · AAA
27 41 44→45 43→40 44 .207/.270/.318 .111.255 125 24% 6% 63 -0.9 .215/.284/.339 .124.270 156 25% 7% 75 -0.0 .207/.269/.313.106.23712318%6%59-0.4
Alex De Goti
2022 · AAA
27 42→46 43→45 49→50 43 .206/.269/.317 .110.278 108 28% 7% 61 -1.0 .201/.276/.293 .092.275 79 27% 9% 59 -1.1 .191/.273/.268.077.25961026%9%48-1.1
Trey Harris
2023 · AA
27 45→51 42→45 43→45 40 .223/.277/.322 .100.285 118 25% 5% 66 -0.6 .208/.259/.288 .080.284 68 27% 5% 49 -1.8 .190/.236/.251.061.2662628%4%26-1.7
Dusty Brown
2008 · AAA
26 42 45 45→30 43 .213/.267/.333 .120.279 123 28% 6% 65 -0.7 .225/.286/.343 .118.302 123 28% 7% 75 -0.0 .192/.264/.338.146.23815226%8%64-0.3
Sean Jamieson
2016 · AA
27 49→46 43→45 46→50 43 .235/.294/.348 .113.314 1010 27% 6% 80 +0.4 .217/.276/.307 .090.324 78 33% 7% 62 -0.9 .182/.236/.235.053.3022038%6%22-1.2
Wynston Sawyer
2018 · AA
26 46 42→45 45 46 .223/.294/.332 .110.289 97 25% 8% 76 +0.1 .221/.292/.327 .106.299 95 27% 7% 74 -0.1 .206/.283/.301.095.2867028%6%61-0.2
Javi Herrera
2008 · AA
27 43 41→40 41→45 44 .211/.277/.305 .094.262 95 22% 6% 62 -0.9 .214/.298/.308 .094.276 88 24% 9% 72 -0.2 .198/.297/.278.080.2656625%10%63-0.3
Devin Ivany
2009 · AA
27 45→48 43→50 47→45 40 .225/.266/.334 .109.281 119 24% 4% 64 -0.8 .222/.276/.351 .129.287 149 27% 6% 73 -0.1 .213/.270/.335.122.27513826%7%65-0.3
T.J. White
2018 · AA
26 44→46 44→45 48→45 43 .216/.278/.335 .119.273 108 25% 6% 70 -0.3 .209/.266/.341 .132.283 147 30% 6% 67 -0.5 .144/.194/.244.100.19614335%4%7-1.1
Adam Pavkovich
2009 · AAA
27 42→46 47→45 43→45 43 .215/.268/.349 .134.268 149 26% 6% 69 -0.4 .210/.254/.324 .114.259 1210 23% 5% 56 -1.3 .193/.232/.278.085.2348921%5%31-2.2
Steve Holm
2006 · AA
26 42 43→50 47→40 43 .208/.266/.315 .106.263 117 25% 6% 59 -1.1 .225/.292/.374 .149.273 184 24% 7% 86 +0.8 .231/.308/.383.152.27218222%8%92+0.5
Tres Barrera
2021 · AA
26 44→43 42→45 44→40 43 .218/.271/.324 .106.273 105 24% 6% 64 -0.8 .213/.282/.319 .106.270 113 24% 8% 68 -0.5 .200/.272/.301.102.25012124%8%55-0.6