Zane ZielinskiSS Eugene Emeralds
Age 25 R/R 6'2" / 195 lbs A+ BB -3% Svc 0.0 · Ctrl thru 2035 peak 0.5 · 2028
wRC+†59
AVG/OBP/SLG.201 / .272 / .291
PA320
HR4
SB9
K%31
BB%7
MLB%0%
BAT: -14.7 runs (wOBA-derived runs vs avg)-15BATRUN: +0.9 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.20-0.2WAR
Scouting · nowfuture
HIT
4040
PWR
2525
SPD
6060
EYE
4540
trajectory · 10 yrs
0.5peak
2028

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+0.4$2M+$0.9M
2031Arb-3$0.9M+0.2$0.9M+$0.0M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $4M $-4M -$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
202524 A+Eugene Emeralds 483429 82723 3315914 329 .191.271.238.509 .047.292 337 .228 33 -37 +3 +0 +5 +14 -1.5
▸ 2026 Season (actual · ROS · total)
202625 A+Eugene Emeralds 5952 13200 4211 21 .250.316.288.604 .038.406 367 .265 61 -3 +0 +0 +1 +2 -0.0
ROS25 MLBSF 261236 49813 19824 72 .208.278.288.566 .081.300 317 .262 59 -12 +1 +0 +3 +7 -0.1
TOT25 MLBSF 320288 621013 231035 93 .215.285.288.573 .073.321 327 .263 59 -15 +1 +0 +3 +9 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 10%SF 365327 731226 29966 103 .223.298.327.626 .104.292 268 .281 73 -11 +1 +0 +4 +10 0.4
202827 MLB 25%SF 388348 781327 311016 103 .224.299.333.632 .109.292 268 .284 76 -11 +1 +0 +4 +11 0.5
202928 MLB 37%SF 401359 801427 331056 103 .223.299.331.630 .109.291 268 .285 76 -11 +1 -1 +4 +11 0.5
203029 MLB 47%SF 400358 801427 331056 93 .223.300.332.632 .109.291 268 .284 75 -11 +1 -1 +4 +11 0.4
203130 MLB 55%SF 398356 781417 331066 92 .219.296.323.619 .104.289 278 .281 73 -12 +1 -2 +4 +11 0.2
203231 MLB 73%SF 387346 741316 321056 82 .214.292.309.601 .095.288 278 .277 70 -13 +1 -3 +4 +11 0.0
203332 MLB 90%SF 370332 701215 301025 72 .211.286.298.584 .087.287 288 .272 67 -14 +1 -4 +4 +10 -0.2
203433 MLBSF 341305 641115 28965 61 .210.287.302.589 .092.285 288 .267 63 -14 +1 -4 +4 +10 -0.5
203534 MLBSF 298268 55914 24874 61 .205.280.291.571 .086.283 298 .261 58 -14 +1 -5 +3 +8 -0.7
▸ Career Totals (MLE all levels + projections)
Career 40923664 7831271660 325114468 11431 .214.290.306.596 .093.291 288 .271 65 -160 +10 -20 +44 +116 -1.0
/ 162G 650582 12520310 5218211 185 .215.291.311.602 .096.293 288 .271 65 -25 +2 -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
202524 A+Eugene Emeralds 483412 991024 4912314 329 .240.340.303.644 .063.329 2510 .298 86 -7 +3 +14 0.9

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
Zane Zielinski (OGILVIE) 25 40 25 60 40 .201/.272/.291 .090.287 48 31% 7% 57 -0.7
Tanner Kirwer
2021 · A
25 46 38→40 56→60 42 .213/.280/.290 .076.310 519 31% 7% 59 -1.1 .208/.289/.312 .104.300 1233 32% 9% 69 -0.4 .193/.277/.285.093.278124132%9%55-0.7
J.T. Arruda
2023 · A
25 42 40 55 45 .202/.273/.300 .097.294 717 32% 9% 58 -1.2 .204/.277/.294 .090.295 720 30% 9% 59 -1.1 .199/.271/.284.086.28072329%8%51-1.1
Jack Dunn
2022 · A
25 49→48 39→40 53→55 47 .235/.298/.317 .083.300 615 23% 7% 73 -0.1 .225/.305/.302 .077.297 618 24% 9% 73 -0.1 .215/.308/.291.076.27772123%10%70-0.3
Najee Gaskins
2022 · A
24 46 39→30 52→50 39 .215/.273/.302 .086.316 614 32% 6% 59 -1.1 .212/.282/.289 .077.360 49 39% 6% 60 -1.0 .208/.293/.267.059.37721041%7%58-0.5
Corey Toups
2018 · AAA
25 44→47 43→45 55→50 40 .212/.271/.329 .117.297 1017 31% 6% 65 -0.7 .203/.266/.307 .104.321 1015 37% 7% 58 -1.2 .177/.247/.258.081.30091941%7%34-1.3
Casio Grider
2013 · A
25 41 38→40 56→55 38 .197/.252/.285 .088.286 418 31% 5% 46 -2.0 .201/.259/.287 .086.304 523 33% 6% 49 -1.8 .192/.249/.272.080.29763035%5%38-1.3
Colt Sedbrook
2010 · AA
25 45→43 39→30 51→50 48 .213/.304/.293 .080.273 614 23% 8% 72 -0.2 .204/.300/.275 .071.261 413 22% 8% 66 -0.6 .178/.291/.223.045.23121221%9%48-1.1
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
Mike Martin
2017 · A
24 45 36→30 51→55 44 .210/.279/.272 .062.287 414 27% 7% 54 -1.4 .230/.281/.300 .070.287 418 20% 6% 61 -1.0 .245/.291/.304.059.29622717%5%63-0.4
Patrick Arlis
2006 · A
25 44 41→40 52→50 40 .214/.259/.306 .092.294 910 30% 6% 53 -1.5 .206/.265/.292 .086.285 68 28% 7% 53 -1.5 .207/.281/.293.086.2755424%9%59-0.4
Chris Roller
2022 · AA
25 41 40→45 53→55 40 .196/.256/.291 .095.278 615 30% 6% 50 -1.8 .190/.266/.302 .112.286 1116 35% 8% 57 -1.2 .176/.260/.302.126.275141639%9%53-0.9
Travis Jones
2021 · AA
25 47→50 40 52→55 40 .221/.298/.308 .088.318 821 31% 6% 72 -0.2 .208/.295/.315 .107.311 1112 33% 9% 73 -0.1 .177/.285/.273.097.265111034%11%56-0.5
Elih Marrero
2022 · A
25 47 39→40 53→55 47 .223/.288/.312 .088.297 517 25% 8% 68 -0.5 .211/.284/.294 .083.308 622 31% 9% 62 -0.9 .200/.275/.286.087.29182732%9%52-0.5
J.E. Cruz
2006 · A
25 39→48 42→45 52→45 43 .195/.263/.294 .099.270 1012 30% 7% 53 -1.5 .210/.281/.310 .100.285 78 27% 8% 65 -0.7 .207/.282/.309.102.2796626%8%63-0.5
Chad Christensen
2016 · A
25 45→47 38→40 53→55 39 .211/.262/.293 .082.304 516 31% 6% 52 -1.6 .206/.258/.288 .082.316 615 35% 6% 49 -1.8 .157/.208/.222.065.24481838%5%7-1.0
Elliott Blair
2013 · A
25 42→52 39→40 53→50 39 .203/.266/.294 .091.281 612 29% 5% 54 -1.4 .219/.282/.317 .098.310 79 30% 6% 67 -0.5 .231/.293/.331.100.3317930%6%72-0.1
Cutter Dykstra
2014 · A
25 47→57 38→40 52→55 45 .223/.288/.303 .080.300 516 26% 8% 66 -0.6 .230/.294/.315 .085.318 711 28% 8% 71 -0.3 .225/.287/.302.077.3147929%7%63-0.6
Brian Ruggiano
2010 · A
24 44 42→45 55 37 .213/.265/.320 .108.317 915 34% 5% 60 -1.0 .215/.271/.320 .105.295 812 28% 6% 63 -0.9 .209/.267/.316.107.27571225%6%58-0.8
Jacob Buchberger
2023 · AA
25 47→46 41→45 53→50 45 .225/.282/.322 .097.294 812 25% 7% 68 -0.5 .210/.272/.320 .110.287 1213 29% 7% 63 -0.8 .195/.260/.302.107.269131331%7%50-1.2
Luke Williams
2021 · AA
24 41→45 42→45 51→60 43 .204/.265/.308 .104.270 919 27% 6% 57 -1.2 .226/.285/.324 .098.310 827 27% 7% 69 -0.4 .227/.288/.355.128.309134229%7%76+0.0