Carmine LaneC Jupiter Hammerheads
Age 25 R/R 6'0" / 200 lbs A HR -4%BB +3% Svc 0.0 · Ctrl thru 2036 peak 0.5 · 2029
wRC+†61
AVG/OBP/SLG.208 / .272 / .310
PA76
HR1
K%30
BB%7
MLB%0%
BAT: -3.3 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.4 runs (Positional adjustment)+1POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
0.5peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+0.3$1M+$0.5M
2032Ext / FA-deal$0.9M+0.1$0.5M-$0.5M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$0.2M
2035Ext / FA-deal$0.4M
2036Extbeyond projection horizon · no WAR estimate
Totals $3M $-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
202322 ROKFCL Marlins 7765 17100 11131 00 .262.377.277.654 .015.327 1714 .309 95 -0 +0 +0 +1 +2 0.3
202423 AJupiter Hammerheads 6964 8110 5260 20 .125.188.172.360 .047.211 387 .155 -23 -10 +0 +0 +1 +2 -0.6
▸ 2026 Season
202625 MLBMIA 7670 15311 5231 10 .214.276.329.605 .114.289 307 .266 61 -3 +0 +0 +1 +2 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 10%MIA 129117 25413 10371 20 .214.281.342.623 .128.291 298 .278 71 -4 +0 +0 +2 +4 0.2
202827 MLB 25%MIA 220199 43814 17632 31 .216.284.327.611 .111.292 298 .281 73 -7 +0 +0 +4 +6 0.4
202928 MLB 36%MIA 283256 561026 22813 41 .219.288.344.632 .125.291 298 .282 74 -8 +0 -1 +5 +8 0.5
203029 MLB 46%MIA 319288 631127 25913 41 .219.288.344.632 .125.291 298 .281 73 -10 +0 -1 +6 +9 0.4
203130 MLB 55%MIA 342309 671227 27993 30 .217.286.337.623 .120.289 298 .278 71 -11 +1 -2 +6 +10 0.3
203231 MLB 66%MIA 332300 631126 26983 20 .210.280.320.600 .110.288 308 .274 68 -12 +0 -3 +6 +9 0.1
203332 MLB 75%MIA 314283 591026 25943 00 .208.280.322.601 .113.286 308 .270 65 -13 +0 -4 +6 +9 -0.2
203433 MLB 92%MIA 282256 53925 22862 00 .207.275.316.591 .109.285 308 .265 61 -13 +0 -4 +5 +8 -0.4
203534 MLBMIA 238215 43714 19752 00 .200.271.298.569 .098.283 328 .258 56 -12 +0 -5 +4 +7 -0.6
▸ Career Totals (MLE all levels + projections)
Career 26812422 512871749 21478624 213 .211.282.322.604 .111.289 298 .272 66 -102 +3 -20 +48 +76 0.5
/ 162G 650587 12421412 521916 51 .211.282.322.604 .111.289 298 .272 66 -25 +1 -5 +12 +18 0.1

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
202322 ROKFCL Marlins 7758 20200 1791 00 .345.494.379.873 .034.408 1222 .408 171 +6 +0 +2 0.9
202423 AJupiter Hammerheads 6962 10110 7190 20 .161.246.210.456 .048.233 2810 .218 25 -6 +0 +2 -0.4

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
Carmine Lane (OGILVIE) 25 .208/.272/.310 .102.289 11 30% 7% 61 -0.1
Drake Osborn
2023 · A
25 40 43→50 49→40 42 .201/.266/.309 .108.276 116 30% 7% 59 -1.1 .189/.244/.301 .112.256 134 31% 6% 47 -1.9 .179/.231/.285.106.23913231%5%35-1.3
Andres Sosa
2023 · A
25 39 42→40 52→45 46 .191/.291/.300 .109.275 99 31% 9% 69 -0.4 .196/.285/.288 .092.287 77 32% 8% 63 -0.9 .183/.273/.260.077.2766433%7%47-0.7
Sicnarf Loopstok
2017 · A
24 43→37 43→50 50 38 .211/.270/.324 .114.293 1012 30% 5% 64 -0.8 .213/.281/.365 .152.300 189 34% 7% 80 +0.4 .204/.280/.377.174.28122734%7%84+0.4
Sean Jamieson
2014 · A
25 44→46 44→45 51→50 45 .214/.283/.334 .120.278 1012 26% 7% 72 -0.2 .229/.289/.338 .109.309 99 27% 6% 75 -0.0 .230/.289/.325.094.3197728%6%68-0.2
JJ Schwarz
2021 · A
25 39 41→45 48→30 44 .192/.259/.283 .091.263 86 29% 8% 49 -1.8 .208/.276/.329 .121.293 143 32% 8% 68 -0.5 .201/.273/.323.122.28015132%9%62-0.5
Brent Diaz
2021 · A
25 43 42→45 47→45 47 .207/.290/.314 .107.289 109 30% 9% 70 -0.3 .205/.275/.326 .121.305 148 35% 6% 68 -0.5 .179/.249/.295.116.26816738%5%45-0.7
Vito Friscia
2022 · A
25 45 42→45 51→40 44 .212/.289/.319 .107.324 105 35% 9% 71 -0.3 .213/.297/.339 .126.316 134 34% 10% 80 +0.4 .194/.287/.324.130.27914033%11%69-0.2
Seth Bynum
2006 · A
25 44 43→55 50 44 .215/.273/.334 .119.280 109 26% 7% 67 -0.5 .212/.267/.314 .102.292 99 29% 6% 59 -1.1 .219/.261/.365.147.28918531%5%68-0.4
Maverick Handley
2023 · AA
25 40 45 51→50 44 .199/.282/.323 .124.278 1313 32% 8% 70 -0.3 .204/.293/.301 .097.284 911 29% 9% 69 -0.4 .196/.289/.271.075.27561028%9%57-0.6
Jeferson Morales
2023 · A
24 39→46 46→45 49→50 44 .197/.277/.329 .131.260 149 29% 7% 69 -0.4 .215/.289/.346 .131.275 139 25% 7% 78 +0.2 .223/.298/.355.132.27712823%7%81+0.2
Christian Sepulveda
2023 · A
25 41 44→50 50→55 36 .205/.260/.331 .127.294 1110 33% 5% 62 -0.9 .206/.269/.330 .124.284 1214 31% 5% 66 -0.6 .186/.256/.313.126.245152129%4%53-0.5
Bennett Hostetler
2023 · A
25 43→39 44→45 50→45 38 .215/.274/.328 .112.291 126 30% 5% 67 -0.5 .202/.267/.321 .119.293 139 34% 6% 63 -0.9 .181/.251/.292.111.278121337%6%45-0.8
Logan Driscoll
2023 · A
25 42→45 45 49→40 41 .211/.275/.335 .124.295 136 32% 7% 69 -0.4 .225/.281/.350 .125.306 135 29% 6% 76 +0.0 .232/.286/.359.127.31113329%5%76+0.1
Mike Ahmed
2017 · A
25 44→46 44→50 47→50 45 .217/.285/.334 .117.296 1111 30% 8% 72 -0.2 .209/.271/.328 .119.315 139 35% 7% 66 -0.6 .192/.250/.296.105.30711739%6%46-0.7
Jackson Brennan
2008 · A
25 44→42 42→45 47→50 48 .213/.305/.319 .106.285 910 27% 8% 79 +0.3 .210/.298/.299 .089.297 710 29% 9% 70 -0.3 .167/.282/.184.017.2640632%12%32-0.6
Xorge Carrillo
2013 · A
24 42 43→40 50→30 41 .211/.258/.321 .110.276 118 28% 6% 57 -1.2 .240/.292/.325 .085.299 74 21% 5% 72 -0.2 .242/.299/.328.086.2898118%5%74-0.0
Tomas Duenas
2006 · A
25 39 44→50 52→40 37 .199/.253/.310 .111.281 128 33% 5% 53 -1.5 .218/.267/.360 .142.278 185 28% 5% 72 -0.2 .215/.261/.361.146.26420227%5%67-0.2
William Simoneit
2022 · A
25 47 45 50→45 43 .228/.295/.350 .122.319 139 31% 8% 81 +0.4 .210/.287/.330 .120.313 126 34% 8% 73 -0.1 .182/.264/.300.118.28512438%7%54-0.6
Chadd Krist
2015 · A
25 40 41→40 44→45 43 .198/.262/.299 .100.269 86 29% 7% 53 -1.5 .191/.246/.291 .100.279 106 33% 6% 45 -2.1 .147/.198/.242.094.21111036%5%8-1.4
Jake Rogers
2018 · A
23 41→40 44→55 47→45 42 .205/.269/.327 .122.280 1110 30% 7% 65 -0.7 .196/.267/.342 .146.271 177 33% 8% 69 -0.4 .206/.283/.412.206.26529133%8%91+0.6