Luis PinoCF Palm Beach Cardinals
Age 22 R/R 5'11" / 175 lbs A HR -7%K -4% Svc 0.0 · Ctrl thru 2036 peak 0.3 · 2030
wRC+†41
AVG/OBP/SLG.181 / .266 / .296
PA320
HR7
SB8
K%38
BB%8
MLB%0%
BAT: -21.5 runs (wOBA-derived runs vs avg)-21BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -1.10-1.1WAR
Scouting · nowfuture
HIT
2525
PWR
3535
SPD
4545
EYE
5150
trajectory · 10 yrs
0.3peak
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+0.3$1M+$0.5M
2032Ext / FA-deal$0.9M+0.2$1.0M+$0.0M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$0.2M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $4M $-5M -$9M
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
202117 ROKDSL Cardinals Blue 174153 26504 106910 12 .170.266.281.547 .111.272 406 .237 40 -12 -1 +0 +1 +5 -0.7
202218 ROKFCL Cardinals 112101 11201 8493 42 .109.196.158.355 .050.196 447 .180 -4 -13 +0 +0 +0 +3 -1.0
202319 ROKFCL Cardinals 10083 11301 9457 50 .133.273.205.478 .072.263 459 .225 30 -8 +1 +0 +0 +3 -0.4
202420 ROK2 teams 148133 24603 9664 31 .180.253.293.547 .113.318 456 .242 44 -9 +0 +0 +1 +4 -0.5
202521 APalm Beach Cardinals 413360 521317 3918312 72 .144.251.244.495 .100.262 449 .231 35 -30 +1 +0 +1 +12 -1.7
▸ 2026 Season (actual · ROS · total)
202622 APalm Beach Cardinals 3130 3200 0211 22 .100.129.167.296 .067.333 680 .120 -50 -5 -0 +0 +0 +1 -0.5
ROS22 MLBSTL 289258 461016 231166 62 .178.261.295.556 .116.289 408 .251 50 -16 +0 +0 +1 +8 -0.7
TOT22 MLBSTL 320288 491216 231377 84 .170.248.281.530 .111.295 437 .238 41 -21 +0 +0 +1 +9 -1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%STL 441394 7617210 361488 84 .193.274.322.596 .129.273 348 .268 63 -18 +0 +0 +2 +12 -0.4
202824 MLB 26%STL 488434 8619212 421599 94 .198.282.334.617 .136.275 339 .276 70 -17 +0 +0 +2 +14 -0.1
202925 MLB 43%STL 513454 9220213 451639 94 .203.287.341.629 .139.277 329 .282 74 -15 +0 +0 +2 +15 0.2
203026 MLB 58%STL 526464 9320213 4716610 94 .200.288.336.624 .136.278 329 .285 76 -14 +0 +0 +2 +15 0.3
203127 MLB 76%STL 529466 9320213 4816810 93 .200.288.335.623 .135.278 329 .285 76 -14 +1 +0 +2 +15 0.3
203228 MLB 84%STL 527465 9320213 481689 83 .200.287.335.623 .135.278 329 .284 75 -15 +0 -1 +2 +15 0.2
203329 MLB 90%STL 519457 9220213 481679 73 .201.290.339.629 .138.277 329 .282 74 -15 +0 -1 +2 +15 -0.0
203430 MLBSTL 509448 8819212 471669 72 .196.286.328.614 .132.275 339 .278 71 -17 +1 -2 +2 +14 -0.2
203531 MLBSTL 495438 8518212 451639 52 .194.283.326.609 .132.273 339 .275 68 -18 +0 -3 +2 +14 -0.5
203632 MLBSTL 477422 8017111 441608 42 .190.278.313.591 .123.272 349 .270 65 -19 +0 -4 +2 +14 -0.7
203733 MLBSTL 448396 731619 411538 42 .184.274.298.572 .114.270 349 .265 61 -20 +0 -4 +2 +13 -1.0
203834 MLBSTL 402356 641418 361417 32 .180.268.292.560 .112.267 359 .258 56 -20 -0 -5 +1 +11 -1.3
▸ Career Totals (MLE all levels + projections)
Career 71106282 118525923161 6252450147 10844 .189.277.314.592 .125.276 349 .269 64 -291 +4 -20 +25 +201 -8.1
/ 162G 650574 10924215 5722413 104 .190.278.317.595 .127.278 349 .269 64 -27 +0 -2 +2 +18 -0.7

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
202117 ROKDSL Cardinals Blue 174146 36706 175210 12 .247.364.418.782 .171.337 3010 .353 129 +6 -1 +5 1.0
202218 ROKFCL Cardinals 11297 21503 12353 42 .216.321.361.682 .144.305 3111 .313 97 -0 +0 +3 0.3
202319 ROKFCL Cardinals 10078 16502 14317 50 .205.374.346.720 .141.304 3114 .336 116 +2 +1 +3 0.6
202420 APalm Beach Cardinals 5854 10201 3230 00 .185.224.278.502 .093.300 405 .225 31 -5 +0 +2 -0.3
202420 ROKFCL Cardinals 9072 24703 12224 31 .333.455.5561.010 .222.429 2413 .436 192 +9 +0 +3 1.2
202521 APalm Beach Cardinals 413345 691629 5412912 72 .200.328.336.665 .136.287 3113 .308 94 -3 +1 +12 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
Luis Pino (OGILVIE) 22 25 35 45 50 .181/.266/.296 .115.287 75 38% 8% 57 -0.7
Rudy van Heydoorn
2010 · A
21 33 41→45 41→50 41 .168/.252/.259 .091.262 98 37% 8% 41 -2.3 .197/.275/.307 .110.307 115 36% 9% 63 -0.9 .204/.303/.338.134.29214232%11%83+0.2
Marcus Greene Jr.
2017 · A
22 35 46→50 45→40 40 .185/.251/.313 .128.265 155 35% 7% 53 -1.5 .209/.268/.329 .120.279 134 28% 7% 65 -0.7 .211/.271/.321.110.27512227%7%61-0.4
Payton Henry
2019 · A
22 41→31 42→45 41→30 38 .192/.261/.298 .106.318 103 40% 7% 54 -1.4 .192/.255/.296 .104.317 113 41% 5% 50 -1.7 .246/.293/.382.135.32219129%4%83+0.2
Joe DeCarlo
2016 · A
22 38 43→50 43→30 44 .184/.274/.291 .106.280 103 35% 9% 59 -1.1 .196/.279/.333 .137.278 162 33% 8% 71 -0.3 .192/.273/.343.151.26318133%8%68-0.3
Braulio Vasquez
2021 · A
22 40 39→40 44→65 37 .193/.250/.274 .080.298 77 36% 6% 42 -2.3 .205/.278/.298 .093.301 729 32% 7% 61 -1.0 .200/.277/.293.093.28774230%7%55-0.6
Glenn Santiago
2023 · A
22 41 41→40 46→45 40 .203/.258/.301 .098.286 88 31% 6% 52 -1.6 .200/.266/.289 .089.294 89 32% 7% 53 -1.5 .183/.256/.260.077.2697832%8%40-1.1
Tucker Mitchell
2023 · A
22 38 43→50 51→45 35 .183/.259/.287 .104.311 1111 42% 6% 51 -1.7 .198/.263/.310 .112.287 137 34% 6% 58 -1.2 .185/.242/.280.095.26113533%5%38-1.0
Carson Blair
2013 · A
23 35 43→50 43→30 38 .178/.239/.287 .110.282 106 39% 7% 41 -2.3 .197/.269/.330 .133.320 124 39% 8% 66 -0.6 .192/.271/.336.144.31514140%9%65-0.3
Yusuf Carter
2007 · A
22 37→34 46→50 45→50 35 .194/.240/.317 .122.287 156 37% 5% 49 -1.8 .202/.239/.339 .137.300 1610 37% 5% 54 -1.4 .219/.264/.370.151.296191032%5%70-0.2
Jacob Heyward
2018 · A
22 40 44→50 45→50 40 .197/.265/.313 .116.295 128 36% 7% 59 -1.1 .197/.279/.317 .120.298 1310 35% 9% 67 -0.5 .181/.276/.317.136.26816936%10%63-0.5
Ignacio Valdez
2017 · A
22 32 45 45→50 37 .169/.233/.291 .121.258 135 38% 6% 40 -2.4 .177/.238/.289 .112.315 124 45% 7% 42 -2.3 .137/.165/.201.064.2474045%3%-17-1.2
Arturo De Freitas
2023 · A
22 35 39→45 45→40 34 .177/.225/.258 .082.279 74 38% 5% 27 -3.3 .181/.235/.260 .079.301 75 40% 6% 32 -3.0 .113/.162/.125.012.2130044%5%-37-1.5
Yeicok Calderon
2014 · A
22 35 46→45 45 33 .180/.227/.303 .123.290 145 42% 6% 40 -2.4 .206/.250/.323 .117.324 126 38% 5% 54 -1.4 .210/.245/.331.121.32412538%4%52-0.6
Jamari Baylor
2023 · A
22 40 42→45 50→55 41 .172/.280/.276 .105.337 1018 46% 10% 58 -1.2 .187/.287/.297 .110.339 1116 43% 10% 66 -0.6 .170/.275/.273.103.306121843%10%53-0.5
Andry Arias
2022 · A
22 38 42→40 46→40 39 .187/.254/.288 .101.287 107 36% 7% 48 -1.9 .193/.256/.289 .096.301 85 36% 7% 49 -1.8 .160/.230/.252.091.2537337%7%25-1.2
Carlos Dominguez
2022 · A
22 39→27 47→45 49→50 32 .191/.265/.326 .135.316 1511 42% 5% 64 -0.8 .165/.239/.283 .118.350 1512 53% 6% 42 -2.3 .131/.212/.238.107.287151456%6%16-2.1
Chuckie Jones
2014 · A
22 37→40 43→45 44→50 35 .183/.239/.290 .106.297 118 40% 6% 42 -2.3 .202/.255/.322 .120.297 149 35% 6% 57 -1.2 .199/.253/.321.122.279151033%6%53-0.9
Taylor Brennan
2014 · A
22 37→42 45 48→45 43 .177/.265/.302 .125.304 137 43% 10% 57 -1.2 .186/.269/.291 .105.299 107 37% 10% 56 -1.3 .176/.263/.268.092.2858738%10%46-1.3
Brock Carpenter
2018 · A
23 38 41→40 47→30 42 .186/.260/.282 .097.283 106 36% 8% 50 -1.8 .200/.264/.303 .103.319 86 37% 7% 56 -1.3 .192/.255/.314.122.3108338%7%50-0.6
Tristen Lutz
2021 · A
22 40→38 44→45 46→40 37 .194/.253/.307 .113.309 115 39% 6% 53 -1.5 .199/.262/.326 .127.330 154 41% 7% 61 -1.0 .184/.256/.313.129.31017243%7%53-0.6