Ethan WorkingerCF Columbus Clingstones
Age 24 R/R 6'0" / 185 lbs AA BB -5% Svc 0.0 · Ctrl thru 2034 peak 0.2 · 2029
wRC+†46
AVG/OBP/SLG.210 / .261 / .344
PA320
HR8
SB7
K%26
BB%6
MLB%2%
BAT: -19.5 runs (wOBA-derived runs vs avg)-19BATRUN: +1.0 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.90-0.9WAR
Scouting · nowfuture
HIT
4545
PWR
5050
SPD
5050
EYE
4240
trajectory · 10 yrs
0.2peak
2029

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+0.1$0.5M+$0.0M (cut)
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Ext / FA-deal$0.6M
Totals $2M $-6M -$8M
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
202119 ROKFCL Braves 122106 13221 7463 21 .123.198.208.406 .085.185 386 .190 4 -13 +0 +0 +0 +3 -1.0
202220 ROK2 teams 242225 42944 12683 35 .187.237.316.553 .129.245 285 .233 37 -17 -1 +0 +1 +7 -1.1
202321 A2 teams 459430 8716210 251512 54 .202.249.319.568 .116.284 335 .251 50 -26 -1 +0 +2 +13 -1.2
202422 A+2 teams 545505 10615413 331363 96 .210.262.333.595 .123.258 256 .262 58 -26 -1 +0 +2 +15 -0.9
202523 AAColumbus Clingstones 493458 8918216 281155 125 .194.248.347.596 .153.222 236 .257 55 -25 +0 +0 +2 +14 -0.9
▸ 2026 Season (actual · ROS · total)
202624 AAColumbus Clingstones 5148 5002 3180 20 .104.157.229.386 .125.107 356 .163 -17 -7 +0 +0 +0 +1 -0.5
ROS24 MLBATL 269250 50917 16731 52 .200.251.328.579 .128.248 276 .261 58 -13 +0 +0 +1 +8 -0.4
TOT24 MLBATL 320298 55919 19911 72 .185.236.312.548 .128.231 286 .246 46 -19 +1 +0 +1 +9 -0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 11%ATL 370341 7213211 24852 62 .211.267.358.625 .147.244 236 .274 68 -13 +0 +0 +1 +10 -0.1
202826 MLB 26%ATL 407373 7914212 28933 72 .212.272.357.629 .145.248 237 .280 72 -13 +1 +0 +1 +12 0.1
202927 MLB 44%ATL 420384 8215212 30973 72 .214.276.357.633 .143.250 237 .282 74 -12 +1 +0 +1 +12 0.2
203028 MLB 53%ATL 425388 8315212 31993 62 .214.277.356.633 .142.251 237 .282 74 -12 +0 -1 +2 +12 0.1
203129 MLB 64%ATL 420383 8114212 31993 62 .211.276.352.628 .141.250 247 .280 73 -13 +0 -1 +1 +12 -0.1
203230 MLB 73%ATL 414378 8014212 30993 51 .212.275.354.629 .143.248 247 .277 70 -14 +1 -2 +1 +12 -0.2
203331 MLB 91%ATL 401366 7613211 29973 31 .208.271.344.616 .137.247 247 .273 67 -15 +0 -3 +1 +11 -0.5
203432 MLBATL 384351 7012110 28952 10 .199.262.325.587 .125.245 257 .269 64 -16 +0 -4 +1 +11 -0.7
203533 MLBATL 355324 641119 26902 00 .198.261.321.582 .123.243 257 .263 60 -16 +0 -4 +1 +10 -0.9
203634 MLBATL 311284 54917 22822 00 .190.253.303.556 .113.241 267 .257 55 -16 +0 -5 +1 +9 -1.1
▸ Career Totals (MLE all levels + projections)
Career 60375546 112819932159 400152543 7735 .203.262.337.599 .133.249 257 .266 62 -260 +1 -20 +22 +171 -8.8
/ 162G 650597 12021317 431645 84 .201.260.332.592 .131.245 257 .266 62 -28 +0 -2 +2 +18 -1.0

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
202119 ROKFCL Braves 122102 19332 11333 21 .186.284.333.618 .147.233 279 .268 63 -5 +0 +3 -0.2
202220 AAugusta GreenJackets 7063 17422 6200 10 .270.333.492.825 .222.357 299 .355 130 +2 +0 +2 0.5
202220 ROKFCL Braves 172155 371034 13313 25 .239.310.419.729 .181.273 188 .322 105 +1 -2 +5 0.4
202321 A+Rome Braves 201190 421301 9640 00 .221.256.305.562 .084.323 324 .251 50 -11 +0 +6 -0.6
202321 AAugusta GreenJackets 258225 6510311 31462 54 .289.380.507.887 .218.321 1812 .391 157 +17 -1 +7 2.4
202422 AAMississippi Braves 121111 23411 10190 11 .207.273.288.561 .081.242 168 .258 55 -6 -0 +3 -0.3
202422 A+Rome Emperors 424366 9815311 49843 85 .268.357.415.772 .148.316 2012 .344 121 +10 -0 +12 2.2
202523 AAColumbus Clingstones 493441 9919216 43905 125 .224.299.385.685 .161.246 189 .306 92 -4 +0 +14 1.0

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
Ethan Workinger (OGILVIE) 24 45 50 50 40 .210/.261/.344 .134.262 84 26% 6% 66 -0.3
Jiandido Tromp
2018 · AA
24 41→47 49→50 47→45 37 .214/.251/.364 .150.277 169 29% 4% 66 -0.6 .215/.265/.327 .112.300 108 30% 6% 63 -0.9 .190/.254/.265.075.2815532%7%38-1.5
Tim Tawa
2023 · AA
24 42→43 46→50 49→50 46 .211/.275/.332 .121.266 1412 26% 8% 68 -0.5 .209/.273/.344 .135.272 1611 28% 8% 71 -0.3 .204/.271/.351.147.261181228%8%69-0.3
Christian Koss
2022 · A
24 42→45 48→50 50 39 .219/.264/.360 .141.282 179 29% 5% 71 -0.3 .221/.265/.349 .128.298 1414 30% 4% 68 -0.5 .231/.280/.347.116.296101825%5%70-0.1
Travis Metcalf
2007 · AA
24 42→46 46→50 46→45 41 .213/.266/.342 .128.288 148 30% 6% 66 -0.6 .208/.257/.334 .126.268 135 27% 6% 61 -1.0 .197/.245/.319.122.24413225%5%51-1.2
Taylor Featherston
2015 · AA
25 44→45 48→50 51→50 39 .225/.272/.373 .148.289 1612 28% 5% 77 +0.1 .207/.255/.337 .130.273 1411 29% 5% 61 -1.0 .190/.243/.306.116.257121130%5%45-1.1
Jacob Amaya
2023 · AAA
24 41→45 46→45 49→45 47 .208/.279/.334 .126.265 156 27% 8% 70 -0.3 .210/.277/.325 .115.273 128 26% 8% 67 -0.5 .199/.266/.299.101.26211827%8%53-1.0
Russell Mitchell
2010 · AA
25 43→45 49→55 46→45 40 .221/.261/.369 .149.267 176 25% 5% 72 -0.2 .217/.268/.352 .135.257 153 21% 6% 70 -0.3 .205/.268/.332.127.24414122%7%61-0.7
Casey Schmitt
2023 · AAA
24 44→47 47→50 44→45 41 .222/.273/.356 .134.286 164 28% 6% 73 -0.1 .229/.280/.365 .136.288 157 25% 6% 79 +0.3 .230/.285/.372.142.28017624%6%82+0.3
Jake Noll
2019 · AA
25 45→51 45→50 48→45 40 .228/.265/.346 .117.268 147 21% 4% 66 -0.6 .236/.272/.349 .113.291 126 23% 4% 70 -0.3 .229/.270/.368.139.26915521%4%72-0.1
Braden Shewmake
2022 · AA
24 42→41 49→50 50→55 39 .220/.258/.369 .149.268 1710 26% 4% 70 -0.3 .214/.256/.352 .138.262 1516 24% 5% 65 -0.7 .202/.247/.327.125.243132323%5%52-0.8
Michael Almanzar
2015 · AAA
24 47→50 46→50 49→45 41 .236/.283/.366 .130.292 149 24% 5% 80 +0.4 .208/.247/.307 .099.267 104 25% 4% 49 -1.8 .199/.234/.292.092.2579126%3%37-2.0
Alberth Martinez
2015 · A
24 45→49 45→50 47→45 44 .224/.275/.351 .128.269 127 22% 6% 72 -0.2 .228/.275/.346 .118.280 126 23% 5% 71 -0.3 .224/.270/.342.117.27613623%5%64-0.6
Jake Rogers
2019 · AA
24 38→40 47→55 48→45 41 .196/.261/.330 .133.269 159 32% 7% 62 -0.9 .203/.278/.366 .163.280 206 33% 8% 79 +0.3 .206/.283/.412.206.26529133%8%91+0.6
D.J. Stewart
2022 · A
23 44 47→50 49→55 41 .224/.274/.357 .132.285 167 27% 6% 73 -0.1 .209/.256/.331 .122.277 1314 29% 5% 59 -1.1 .181/.224/.298.117.238132230%4%33-1.4
Andre Lipcius
2022 · AA
24 43→50 44→50 48→45 46 .215/.274/.331 .116.276 117 26% 8% 67 -0.5 .231/.302/.363 .132.287 148 23% 9% 87 +0.8 .231/.303/.365.135.28616724%9%86+0.7
Trey Amburgey
2019 · AA
24 41→44 45→50 51→50 36 .210/.251/.328 .118.278 1311 29% 4% 56 -1.3 .221/.262/.366 .145.287 168 28% 4% 72 -0.2 .205/.250/.354.149.27417431%5%60-0.6
Eric Wood
2018 · AAA
25 40→50 47→55 45 43 .209/.266/.345 .137.271 157 29% 7% 68 -0.5 .217/.271/.371 .154.287 178 30% 6% 76 +0.1 .213/.265/.366.153.28118530%5%69-0.2
Alfredo Marte
2013 · AA
24 47 48→50 45 42 .237/.283/.377 .141.284 157 23% 5% 83 +0.6 .230/.285/.359 .129.291 137 25% 6% 79 +0.3 .226/.286/.344.119.296121027%7%74-0.0
Ryan Mount
2011 · AA
24 43 47→50 46→50 38 .221/.257/.352 .131.281 1510 27% 4% 65 -0.7 .230/.273/.362 .132.298 1411 27% 5% 75 -0.0 .243/.288/.385.141.30415825%5%86+0.3
David Thompson
2018 · AA
24 46 44→45 45→50 41 .227/.273/.348 .121.281 127 24% 5% 71 -0.3 .211/.264/.324 .113.272 1110 26% 5% 62 -0.9 .179/.248/.314.134.231151629%6%50-1.0