Gunner GouldsmithSS Lansing Lugnuts
Age 24 S/R 5'8" / 170 lbs A+ HR -6%K -4% Svc 0.0 · Ctrl thru 2035 peak 0.5 · 2029
wRC+†63
AVG/OBP/SLG.205 / .278 / .302
PA232
HR3
K%27
BB%8
MLB%0%
BAT: -9.6 runs (wOBA-derived runs vs avg)-10BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.5 runs (Positional adjustment)+2POSREP: +6.6 runs (Replacement-level credit)+7REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
2020
PWR
2020
SPD
5050
EYE
5650
trajectory · 10 yrs
0.6peak
2029

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+0.5$2M+$1M
2031Arb-3$0.9M+0.4$2M+$1.0M
2032Ext / FA-deal$0.9M+0.2$1.0M+$0.0M
2033Ext / FA-deal$3M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $7M $1M -$5M
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
202523 A3 teams 284247 35810 28745 96 .142.243.182.425 .040.199 2610 .199 10 -29 -1 +0 +3 +8 -1.9
▸ 2026 Season (actual · ROS · total)
202624 A+Lansing Lugnuts 2624 7000 210 00 .292.346.292.638 .000.304 48 .277 70 -1 +0 +0 +0 +1 0.0
ROS24 MLBOAK 206185 38713 17552 41 .205.279.303.582 .097.276 278 .267 62 -9 +0 +0 +2 +6 -0.0
TOT24 MLBOAK 232209 45713 19562 41 .215.287.301.588 .086.278 248 .268 63 -10 +0 +0 +2 +7 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%OAK 274246 531025 23723 51 .215.290.333.624 .118.279 268 .277 71 -9 +1 +0 +3 +8 0.2
202826 MLB 25%OAK 340304 661326 29884 62 .217.294.332.626 .115.281 269 .283 75 -10 +0 +0 +4 +10 0.4
202927 MLB 43%OAK 373333 731427 33964 72 .219.297.336.634 .117.281 269 .286 77 -10 +1 +0 +4 +11 0.5
203028 MLB 52%OAK 392350 771528 351024 72 .220.298.343.641 .123.281 269 .285 77 -10 +1 -1 +4 +11 0.5
203129 MLB 63%OAK 396354 761527 351044 72 .215.293.328.620 .113.280 269 .283 75 -11 +1 -1 +4 +11 0.4
203230 MLB 73%OAK 397355 751427 351054 71 .211.289.321.610 .110.279 269 .280 73 -12 +1 -2 +4 +11 0.2
203331 MLB 90%OAK 388347 731427 341054 61 .210.288.323.611 .112.277 279 .276 70 -13 +1 -3 +4 +11 -0.0
203432 MLBOAK 372332 691326 331024 50 .208.287.313.601 .105.276 279 .272 66 -14 +1 -4 +4 +11 -0.2
203533 MLBOAK 345309 631225 30973 50 .204.281.304.585 .100.274 289 .267 62 -15 +1 -4 +4 +10 -0.5
203634 MLBOAK 302270 531014 26883 40 .196.274.285.559 .089.272 299 .260 57 -15 +1 -5 +3 +9 -0.7
▸ Career Totals (MLE all levels + projections)
Career 40693632 7511452165 358108844 7218 .207.286.312.598 .105.274 279 .271 66 -157 +7 -20 +44 +115 -1.0
/ 162G 650580 11923310 571747 123 .205.284.307.591 .102.273 279 .271 66 -25 +1 -3 +7 +18 -0.2

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
202523 A+Lansing Lugnuts 6757 12300 9121 22 .211.328.263.592 .053.267 1813 .284 75 -2 -0 +2 -0.0
202523 AStockton Ports 154132 21600 19351 50 .159.270.205.474 .045.214 2312 .229 33 -12 +1 +4 -0.6
202523 ROKACL Athletics 6344 8110 1483 24 .182.410.250.660 .068.211 1322 .322 105 +0 -1 +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
Gunner Gouldsmith (OGILVIE) 24 20 20 50 50 .205/.278/.302 .097.276 34 27% 8% 62 -0.3
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
Elih Marrero
2021 · A
24 44 38→40 49→55 45 .209/.266/.289 .080.272 56 24% 7% 53 -1.5 .214/.285/.291 .077.307 420 29% 9% 61 -1.0 .207/.287/.272.066.30432730%10%55-0.5
J.T. Arruda
2022 · A
24 39→42 38→40 53→55 43 .189/.254/.273 .084.278 513 32% 8% 43 -2.2 .202/.277/.294 .092.298 719 31% 9% 59 -1.1 .200/.277/.286.086.28862130%9%55-0.9
Oliver Dominguez
2013 · A
24 42 40 50→45 47 .202/.275/.299 .097.279 711 29% 9% 59 -1.1 .202/.260/.301 .099.295 87 32% 7% 53 -1.5 .166/.212/.254.088.2369033%5%19-0.9
Jake Palomaki
2019 · A
24 44 39→30 52→50 49 .214/.282/.299 .086.261 711 20% 8% 63 -0.9 .207/.278/.266 .059.262 314 20% 8% 52 -1.6 .217/.289/.261.044.27811721%8%53-0.9
Jose Herrera
2021 · A
24 43 40 47→40 51 .209/.287/.304 .095.275 85 25% 10% 66 -0.6 .215/.289/.310 .095.290 95 27% 9% 68 -0.5 .210/.286/.290.080.2788326%9%58-0.5
Jan Vázquez
2015 · AA
24 41 42→40 46→45 39 .206/.262/.303 .097.286 119 31% 6% 55 -1.4 .212/.282/.306 .094.294 88 29% 7% 65 -0.7 .217/.296/.306.089.2898726%7%67-0.2
Gerard Hall
2011 · A
23 42→40 37→40 49→50 45 .200/.261/.277 .077.275 412 28% 8% 47 -1.9 .215/.270/.300 .085.301 310 27% 7% 56 -1.3 .228/.280/.318.090.3210827%6%62-0.5
Jackson Cluff
2021 · A
24 40→29 42→45 51→55 40 .197/.258/.305 .108.275 1012 31% 6% 54 -1.4 .182/.252/.277 .095.281 812 36% 6% 45 -2.1 .181/.273/.314.132.266142835%10%61-0.6
Joseph Rosa
2021 · A
24 42→43 38→40 43→50 42 .202/.265/.279 .078.281 69 29% 7% 50 -1.7 .213/.280/.324 .111.312 1017 32% 7% 68 -0.5 .204/.282/.310.106.30892134%8%63-0.4
Michael Papierski
2019 · A
23 38→41 40 48→40 55 .186/.291/.272 .085.244 86 25% 12% 61 -1.0 .189/.280/.274 .085.266 84 29% 10% 56 -1.3 .198/.288/.298.100.25611025%10%63-0.5
Arquímedes Gamboa
2022 · AAA
24 39→43 41→40 52→50 47 .189/.268/.284 .095.274 915 32% 10% 53 -1.5 .204/.283/.304 .100.299 914 32% 10% 65 -0.7 .195/.282/.288.093.28981532%10%56-0.7
Anthony Seigler
2023 · A
24 40→39 43→45 46→55 54 .196/.296/.310 .114.268 911 28% 12% 72 -0.2 .198/.295/.313 .115.254 1119 24% 12% 72 -0.2 .200/.299/.321.122.247122723%12%74-0.1
Nicholas Romero
2011 · A
24 41→42 40 49→45 44 .201/.267/.295 .095.274 75 28% 7% 55 -1.4 .187/.252/.266 .079.261 46 28% 7% 41 -2.3 .156/.225/.221.064.2192528%7%17-3.1
Roberto Caro
2018 · AA
24 44→39 36→40 53→60 43 .202/.271/.274 .073.306 215 32% 8% 50 -1.7 .217/.287/.297 .080.314 327 29% 8% 63 -0.8 .216/.288/.291.074.30933528%8%61-0.6
Kawika Emsley-Pai
2014 · A
25 40 35→30 47→40 54 .188/.288/.250 .062.266 37 28% 12% 53 -1.5 .203/.285/.292 .089.282 87 28% 10% 63 -0.9 .172/.265/.269.097.22712228%10%47-0.5
Ronnie Richardson
2014 · A
24 44 42→40 48→50 45 .213/.275/.318 .106.281 88 26% 7% 64 -0.8 .216/.308/.313 .097.284 610 24% 9% 78 +0.2 .210/.315/.303.093.27751023%10%77+0.1
Jake Thomas
2017 · A
24 43 37→30 48→50 46 .203/.273/.276 .073.280 48 27% 8% 53 -1.5 .213/.304/.285 .072.317 39 30% 11% 69 -0.4 .212/.328/.269.058.32711030%14%72-0.1
James Boone
2007 · A
24 42 37→45 51→50 40 .198/.263/.273 .074.298 510 33% 7% 47 -1.9 .209/.268/.321 .112.280 128 29% 6% 63 -0.9 .196/.254/.305.109.26213629%5%51-0.8
Eric Cole
2021 · A
24 41→37 42→45 51→45 46 .202/.256/.304 .103.243 96 21% 6% 52 -1.6 .204/.271/.326 .122.248 138 23% 8% 65 -0.7 .188/.262/.309.122.22015822%8%57-0.9