Christian MartinSS Palm Beach Cardinals
Age 23 L/R 5'10" / 185 lbs A HR -7%K -4% Svc 0.0 · Ctrl thru 2036 peak 1.5 · 2030
wRC+†67
AVG/OBP/SLG.220 / .298 / .322
PA320
HR5
SB7
K%24
BB%9
MLB%0%
BAT: -11.9 runs (wOBA-derived runs vs avg)-12BATRUN: +0.5 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
4545
PWR
2525
SPD
5555
EYE
5945
trajectory · 10 yrs
1.5peak
2030

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+1.4$13M+$12M
2032Ext / FA-deal$0.9M+1.2$11M+$11M
2033Ext / FA-deal$1.0M+0.9$4M+$3M
2034Ext / FA-deal$1M+0.7$4M+$2M
2035Ext / FA-deal$1M+0.4$2M+$0.7M
2036Ext / FA-deal$0.6M+0.1$0.5M-$0.1M
Totals $6M $35M +$29M

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
202421 APalm Beach Cardinals 9674 13100 18203 50 .176.358.189.547 .014.241 2119 .266 62 -4 +1 +0 +1 +3 0.1
202522 A3 teams 389339 721612 34959 227 .212.301.283.584 .071.282 249 .262 59 -18 +2 +0 +4 +11 -0.1
▸ 2026 Season (actual · ROS · total)
202623 APalm Beach Cardinals 4842 8210 540 11 .190.277.286.562 .095.205 810 .227 32 -4 -0 +0 +1 +1 -0.2
ROS23 MLBSTL 272243 541124 24613 62 .222.300.333.633 .111.275 229 .281 73 -8 +0 +0 +3 +8 0.3
TOT23 MLBSTL 320285 621334 29653 73 .218.297.326.623 .109.266 209 .273 67 -12 +0 +0 +3 +9 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%STL 414368 841737 38885 93 .228.309.348.657 .120.275 219 .293 82 -8 +1 +0 +4 +12 0.9
202825 MLB 25%STL 455403 921839 43976 103 .228.312.355.667 .127.277 219 .299 87 -7 +1 +0 +5 +13 1.2
202926 MLB 42%STL 479425 9819310 451026 103 .231.313.360.673 .129.278 219 .303 90 -6 +1 +0 +5 +14 1.4
203027 MLB 58%STL 488432 10020310 471046 113 .231.315.361.677 .130.278 2110 .303 90 -5 +1 +0 +5 +14 1.5
203128 MLB 68%STL 490434 10020310 471066 103 .230.314.359.674 .129.278 2210 .302 89 -6 +1 -1 +5 +14 1.4
203229 MLB 77%STL 484428 971939 471066 103 .227.312.348.660 .121.277 2210 .300 88 -7 +1 -1 +5 +14 1.2
203330 MLB 84%STL 476421 951939 461066 93 .226.311.349.660 .124.276 2210 .297 85 -8 +1 -2 +5 +13 0.9
203431 MLBSTL 464410 901828 451056 82 .220.306.332.638 .112.274 2310 .293 82 -9 +1 -3 +5 +13 0.7
203532 MLBSTL 446395 861728 431035 72 .218.302.332.634 .114.273 2310 .288 79 -11 +1 -4 +5 +13 0.4
203633 MLBSTL 417369 791527 40995 71 .214.300.322.622 .108.271 2410 .283 75 -12 +1 -4 +4 +12 0.1
203734 MLBSTL 372329 691326 36924 61 .210.295.316.612 .106.270 2510 .277 70 -13 +1 -5 +4 +11 -0.2
203835 MLBSTL 319283 581124 30823 51 .205.288.300.588 .095.267 269 .269 64 -13 +1 -6 +3 +9 -0.6
▸ Career Totals (MLE all levels + projections)
Career 60615353 118723434103 583136679 13537 .222.307.336.643 .114.277 2310 .290 80 -134 +12 -25 +65 +172 9.2
/ 162G 650574 12825411 631468 144 .223.309.338.647 .115.279 2210 .290 80 -14 +1 -3 +7 +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
202421 APalm Beach Cardinals 9668 14100 24133 50 .206.432.221.652 .015.255 1425 .333 113 +1 +1 +3 0.5
202522 A+Peoria Chiefs 3024 4000 481 11 .167.310.167.477 .000.235 2713 .238 40 -2 -0 +1 -0.1
202522 APalm Beach Cardinals 337288 751612 38564 206 .260.353.344.697 .083.311 1711 .316 100 -0 +2 +10 1.1
202522 ROKFCL Cardinals 2214 3100 434 10 .214.500.286.786 .071.273 1418 .401 165 +2 +0 +1 0.2

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
Christian Martin (OGILVIE) 23 45 25 55 45 .220/.298/.322 .102.285 57 24% 9% 76 +0.0
David Martin
2023 · A
22 45 39→30 49→30 42 .213/.285/.304 .091.300 67 29% 6% 66 -0.6 .223/.305/.293 .070.278 54 20% 9% 71 -0.3 .243/.334/.302.059.2915116%10%83+0.3
Conner Crumbliss
2010 · A
23 49 40→45 50 50 .230/.312/.333 .103.294 710 23% 9% 84 +0.6 .224/.329/.316 .092.282 614 20% 13% 87 +0.8 .218/.329/.312.094.27471620%13%85+0.7
Hoy Park
2019 · A
23 44→50 39→45 56→55 49 .210/.288/.294 .085.276 617 25% 9% 63 -0.8 .228/.306/.323 .095.301 716 25% 9% 79 +0.3 .219/.306/.338.119.290131827%10%79+0.2
Logan Vick
2014 · A
23 48 41→45 51→50 56 .228/.322/.334 .106.302 715 25% 12% 89 +0.9 .195/.288/.290 .095.289 713 31% 11% 63 -0.8 .147/.251/.227.080.23161335%12%30-2.1
Sherman Johnson
2013 · A
23 46→50 40→45 52→50 53 .216/.305/.311 .095.288 68 25% 11% 76 +0.0 .222/.302/.333 .111.282 911 23% 10% 79 +0.3 .212/.293/.328.116.261101422%10%72-0.2
Kyle Mottice
2019 · A
23 50 36→30 57→55 54 .228/.331/.293 .065.273 217 16% 9% 83 +0.6 .228/.324/.286 .058.278 219 17% 7% 79 +0.3 .232/.323/.274.042.28602516%7%71-0.1
Anthony Dimino
2017 · A
23 50 36→40 48→50 50 .235/.303/.303 .067.299 39 21% 8% 71 -0.3 .245/.305/.312 .067.312 313 21% 7% 75 -0.0 .255/.312/.318.063.31931720%7%74-0.0
John Mora
2016 · A
23 49→48 40 51→50 49 .231/.293/.334 .104.278 513 18% 7% 76 +0.0 .221/.281/.313 .092.287 59 23% 7% 65 -0.7 .214/.273/.299.085.2875925%7%55-1.2
Shawn Zarraga
2012 · A
23 49 39→40 50→45 45 .233/.296/.316 .083.301 69 24% 6% 72 -0.2 .249/.309/.343 .094.297 67 17% 6% 85 +0.7 .272/.340/.355.083.3164214%7%101+0.6
Michael Gigliotti
2019 · A
23 50 42→40 51→55 50 .241/.311/.348 .107.300 816 22% 8% 87 +0.8 .222/.285/.308 .086.299 522 26% 7% 66 -0.6 .192/.303/.306.114.265112429%11%73-0.1
Taylor Krick
2011 · A
23 43 39→30 48→40 49 .206/.285/.289 .084.266 77 24% 9% 62 -0.9 .224/.308/.287 .063.307 45 26% 8% 71 -0.3 .233/.323/.283.051.3262226%8%73-0.0
Nolan Fontana
2014 · A
23 43 40 52→50 58 .204/.316/.298 .095.286 714 28% 14% 78 +0.2 .203/.301/.290 .087.301 49 30% 12% 69 -0.4 .184/.288/.306.123.253101229%12%68-0.2
Austin Martin
2022 · AA
23 50 40 51→60 51 .232/.340/.330 .098.317 714 26% 10% 96 +1.5 .224/.319/.308 .084.281 625 21% 9% 82 +0.5 .251/.338/.332.081.30552518%10%92+0.6
Alden Carrithers
2009 · A
24 50→60 39→30 56→55 53 .235/.323/.325 .090.294 617 21% 10% 87 +0.8 .259/.333/.325 .066.312 315 16% 9% 90 +1.0 .278/.352/.333.055.32211713%10%96+0.9
Nicky Lopez
2017 · A
22 47→57 42→40 56→55 51 .229/.303/.336 .107.265 917 17% 8% 81 +0.4 .248/.301/.331 .083.281 514 13% 6% 77 +0.1 .256/.317/.334.078.29441413%8%82+0.4
Chris Pieters
2018 · A
23 46 40→45 52→55 46 .219/.288/.317 .098.289 614 25% 7% 69 -0.4 .209/.262/.298 .089.296 611 29% 6% 53 -1.5 .174/.209/.223.049.26301532%4%8-0.8
Greg Garcia
2013 · AA
23 51→53 40 46→50 50 .240/.315/.339 .099.299 78 21% 8% 86 +0.8 .239/.313/.331 .092.309 612 23% 8% 84 +0.6 .241/.350/.334.093.3086321%13%99+0.8
Liam Hicks
2023 · A
24 50 41→40 50→45 55 .237/.327/.338 .101.282 88 18% 10% 92 +1.2 .236/.329/.329 .093.285 86 18% 10% 91 +1.1 .236/.332/.324.088.2798417%10%88+0.6
Joshua Howard
2006 · A
23 50 37→40 56→60 44 .234/.287/.312 .078.304 317 23% 6% 66 -0.6 .227/.301/.293 .066.315 320 26% 9% 68 -0.5 .217/.299/.267.050.30822327%10%58-0.6
Shayne Fontana
2021 · A
24 47 40→45 52→55 45 .224/.291/.326 .102.294 613 25% 7% 72 -0.2 .205/.287/.315 .110.296 1110 32% 9% 69 -0.4 .222/.305/.326.104.296111927%8%77+0.1