Chris LanzilliOF Winston-Salem Dash
Age 28 R/R 6'2" / 225 lbs A+ BB +6%HR -6% Svc 0.0 · Ctrl thru 2035
wRC+†76
AVG/OBP/SLG.213 / .285 / .342
PA76
HR2
K%30
BB%8
MLB%0%
BAT: -2.1 runs (wOBA-derived runs vs avg)-2BATRUN: -0.2 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.5 runs (Positional adjustment)-0POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
0.0peak
2026

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
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
2035Extbeyond projection horizon · no WAR estimate
Totals $-5M $-10M -$5M

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
202224 ROKACL White Sox 2825 5001 360 00 .200.286.320.606 .120.222 2111 .296 85 -0 +0 +0 -0 +1 0.0
202325 A2 teams 388348 751407 2712110 33 .216.291.316.607 .101.305 317 .273 67 -15 -1 +0 -2 +11 -0.7
202426 A+Winston-Salem Dash 121108 21213 7454 35 .194.269.315.584 .120.290 376 .253 52 -7 -1 +0 -1 +3 -0.5
▸ 2026 Season
202628 MLBCWS 7669 15302 6231 11 .217.289.348.637 .130.289 308 .285 76 -2 -0 +0 -0 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202729 MLB 8%CWS 10998 21403 8322 21 .214.287.347.634 .133.288 297 .287 77 -3 +0 -1 -1 +3 -0.2
202830 MLB 18%CWS 192172 38715 15563 21 .221.295.360.655 .140.287 298 .286 77 -5 +0 -2 -1 +5 -0.3
202931 MLB 28%CWS 226203 43815 18663 21 .212.286.335.621 .123.286 298 .284 76 -6 +0 -3 -1 +6 -0.4
203032 MLB 39%CWS 238214 45816 19713 10 .210.284.341.625 .131.285 308 .281 73 -7 +0 -4 -1 +7 -0.5
203133 MLB 53%CWS 229206 43815 18703 00 .209.282.330.612 .121.283 318 .275 69 -8 +0 -4 -1 +6 -0.7
203234 MLB 70%CWS 199179 37714 15623 00 .207.279.324.603 .117.281 318 .269 64 -8 +0 -5 -1 +6 -0.9
▸ Career Totals (MLE all levels + projections)
Career 18061622 34361641 13655232 1412 .211.285.332.618 .121.290 318 .277 70 -61 -2 -19 -11 +51 -4.2
/ 162G 650584 12422215 4919912 54 .212.287.334.621 .122.291 318 .277 70 -22 -1 -7 -4 +18 -1.5

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
202224 ROKACL White Sox 2824 8102 440 00 .333.429.6251.054 .292.333 1414 .456 207 +3 +0 +1 0.4
202325 A+Winston-Salem Dash 153128 28502 20352 32 .219.333.305.638 .086.277 2313 .294 83 -3 -0 +4 0.1
202325 AKannapolis Cannon Ballers 235205 621406 22518 01 .302.391.459.850 .156.378 229 .382 150 +13 -0 +7 2.0
202426 A+Winston-Salem Dash 121102 25313 12324 35 .245.345.382.727 .137.319 2610 .325 107 +1 -1 +3 0.3

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
Chris Lanzilli (OGILVIE) 28 .213/.285/.342 .130.289 21 30% 8% 76 +0.0
Quincy Latimore
2017 · AA
28 41→42 48→50 46→50 41 .210/.264/.348 .138.277 168 30% 6% 67 -0.5 .214/.263/.345 .131.291 167 31% 6% 66 -0.6 .216/.254/.339.124.28317630%4%57-0.8
Miles Durham
2011 · AA
28 47→49 46→50 48→50 39 .233/.280/.364 .132.317 1210 30% 5% 78 +0.2 .208/.256/.314 .106.309 811 33% 6% 54 -1.4 .189/.232/.282.093.28751335%5%35-1.4
Michael Rosamond
2006 · AAA
28 41 47→55 49→45 39 .212/.263/.343 .132.290 1510 32% 6% 66 -0.6 .213/.256/.365 .152.322 189 38% 5% 69 -0.4 .201/.237/.370.169.31121642%4%60-0.6
Jose Manuel Orozco
2019 · AAA
28 45 47→50 47→45 39 .224/.271/.354 .130.303 1510 31% 6% 72 -0.2 .234/.282/.385 .151.334 1710 34% 5% 85 +0.7 .237/.283/.399.163.34220635%5%87+0.4
Zack Zehner
2021 · AAA
28 41→51 47→50 44→45 39 .208/.260/.341 .133.295 146 34% 6% 64 -0.8 .219/.283/.336 .117.333 1111 35% 8% 72 -0.2 .213/.287/.319.105.33581236%9%67-0.2
Jim Murphy
2014 · AA
28 42→43 49→50 42→30 41 .217/.275/.367 .150.286 172 30% 6% 77 +0.1 .216/.278/.348 .132.283 144 28% 7% 74 -0.1 .201/.271/.328.127.25814127%8%63-0.6
Joe DeCarlo
2021 · AA
27 40→38 43→50 47→30 40 .197/.265/.308 .111.291 115 34% 7% 58 -1.2 .199/.260/.292 .093.305 96 35% 7% 51 -1.7 .163/.224/.224.061.2498036%7%16-1.3
Dustin Peterson
2023 · AAA
28 45→49 44→50 46→45 44 .224/.278/.342 .118.277 126 24% 6% 72 -0.2 .211/.269/.354 .143.278 187 30% 7% 71 -0.3 .190/.253/.341.152.24722432%7%60-0.5
Clint Coulter
2021 · AAA
28 44→43 48→50 48→40 35 .212/.266/.356 .143.329 157 38% 6% 71 -0.3 .220/.280/.378 .158.288 196 30% 6% 83 +0.6 .205/.273/.359.153.24919425%5%71-0.1
Weston Wilson
2021 · AA
26 39→43 48→55 48→55 41 .206/.261/.344 .138.267 1710 30% 6% 66 -0.6 .216/.278/.379 .163.285 2118 31% 8% 82 +0.5 .215/.294/.402.188.269262530%10%92+0.8
Narciso Crook
2022 · AAA
27 43 49→55 50 39 .215/.277/.364 .150.307 1612 34% 6% 78 +0.2 .214/.286/.373 .159.324 1915 38% 7% 84 +0.6 .200/.278/.359.159.312191739%7%73-0.1
Ben Guez
2015 · AAA
28 41→51 50 45→50 42 .212/.286/.365 .153.285 1710 31% 7% 82 +0.5 .209/.284/.361 .152.301 1815 35% 8% 80 +0.4 .206/.304/.368.162.266222930%11%85+0.2
Curt Smith
2014 · AA
27 43→49 48→50 44→40 39 .221/.270/.365 .144.290 166 29% 5% 75 -0.0 .227/.274/.342 .115.282 126 23% 6% 70 -0.3 .228/.275/.330.102.27311320%5%65-0.5
Jamie Romak
2014 · AAA
28 39→49 50→55 49→45 43 .206/.265/.355 .150.249 187 26% 6% 70 -0.3 .208/.263/.368 .160.278 196 31% 6% 72 -0.2 .206/.262/.386.180.27422533%6%74-0.0
Trey Amburgey
2022 · AAA
27 44 49→50 49→50 38 .225/.269/.378 .153.298 166 30% 5% 77 +0.1 .205/.255/.337 .132.304 157 36% 6% 61 -1.0 .151/.205/.263.113.21816238%6%18-1.4
Adam Fox
2010 · AAA
28 42→44 48→50 49→45 41 .219/.267/.353 .135.268 168 25% 5% 70 -0.3 .199/.245/.328 .129.252 149 26% 5% 54 -1.4 .164/.208/.280.116.20610726%5%23-1.3
Cole Garner
2013 · AAA
28 46→49 46→55 48→50 37 .226/.271/.358 .132.308 139 31% 5% 73 -0.1 .203/.247/.332 .129.328 159 41% 5% 56 -1.3 .190/.234/.328.138.31019744%4%48-0.7
Jerad Head
2010 · AA
27 45 45→55 50 40 .223/.283/.350 .128.283 1111 25% 5% 76 +0.1 .234/.283/.392 .158.289 187 25% 4% 88 +0.9 .229/.280/.395.166.27720725%4%85+0.4
Patrick Brady
2016 · AAA
28 43 47→50 48→45 39 .219/.262/.352 .132.286 1512 29% 5% 67 -0.5 .211/.269/.312 .101.308 711 31% 7% 59 -1.1 .196/.263/.290.094.2954932%8%50-0.9
Daniel Amaral
2023 · AA
26 41 47→40 48→55 41 .209/.268/.341 .133.288 1514 32% 7% 68 -0.5 .231/.302/.338 .107.302 928 25% 8% 81 +0.4 .241/.322/.332.091.31264822%9%85+0.3