Samuel Gil

SS West Michigan Whitecaps
Age 22 R/R 5'8" / 165 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2036
Overview
A+PROSPECTMiLBFA 2037
OGV OFP35OGV rank#1794ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202419ADET370.229/.330/.2881747—.204/.278/.246
202520A+/ADET384.235/.365/.29511256—.196/.299/.246
202621A+DET413.244/.327/.29011249—.215/.280/.255
2027PROJMLE22MLBDET1.203/.280/.2480055-0.0
2028PROJ35% MLB23MLBDET126.209/.286/.2721263-0.1
2029PROJ46% MLB24MLBDET189.215/.292/.2922370-0.0
Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2036Service0.0First FA2037
2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$0.6M+2
Skills · percentileMiLB Statcast 2026 A+
K%92
Whiff%79
Z-Con%69
Chase%66
Speed59
BB%26
Career WAR0.0 WAR median (P10 -0.0 / P90 1.2, comp-based) · star 1% · didn't stick 91%
CompsRichard Rodriguez (age 22) · Alberto Robles (age 22) · Yoel Campusano (age 22)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†55
AVG/OBP/SLG.203 / .280 / .248
PA1
HR0
K%19
BB%8
BABIP253
ISO37
MLB%0%
Value2027 · WAR
BAT: -11.2 runs (wOBA-derived runs vs avg)-11BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.2 runs (Positional adjustment)+2POSREP: +4.5 runs (Replacement-level credit)+5REPTotal WAR: -0.30-0.3WAR
0.00.51.00.10.20.20.10.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus
Tools · ContractCON 45 / POW 20
Toolsscout grade
CONTACT45
scouting grade only
POWER20
scouting grade only
EYE55
scouting grade only
SPEED45
scouting grade only
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
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Pre-Arb$0.9M+0.2$0.6M+$0.0M
2032Pre-Arb$0.9M+0.2$0.5M+$0.0M
2033Pre-Arb$0.9M+0.1$0.3M+$0.0M (cut)
2034Arb-1$0.6M———
2035Arb-2$5M———
2036Extbeyond projection horizon · no WAR estimate
Totals $2M $1.0M +$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
202217 ROKDSL Tigers 2 — 205177 461132 25363 71 260361390751 130317 1812 341 34 — — — — — —
202318 ROKFCL Tigers — 192161 48722 29321 74 298408404812 106359 1715 369 72 — — — — — —
202419 ALakeland Flying Tigers — 370319 73841 44784 73 229330288618 60296 2112 289 47 — — — — — —
202520 A+West Michigan Whitecaps — 2213 1000 930 10 7745577531 100 1441 327 42 — — — — — —
202520 ALakeland Flying Tigers — 362306 741221 50496 112 242359304663 62285 1414 313 57 — — — — — —
202621 A+West Michigan Whitecaps — 413365 891021 38627 122 244327290617 47289 159 287 49 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202217 ROK MLEDSL Tigers 2 — 205184 30621 18443 71 163249234482 71209 219 219 34 — — — — — —
202318 ROK MLEFCL Tigers — 192172 39512 18471 74 227304302606 76301 249 274 72 — — — — — —
202419 A MLELakeland Flying Tigers — 370333 68531 301034 73 204278246524 42284 288 238 47 — — — — — —
202520 A+ MLEWest Michigan Whitecaps — 2216 1000 640 10 6231862381 92 1827 231 42 — — — — — —
202520 A MLELakeland Flying Tigers — 362319 651021 37676 112 204298257555 53252 1910 253 57 — — — — — —
202621 A+ MLEWest Michigan Whitecaps — 413376 81821 27797 122 215280255536 40263 197 241 49 — — — — — —
202217 ROK MLEDSL Tigers 2 — 205184 30621 18443 71 163249234482 71209 219 219 34 — — — — — —
202217 ROK RAWDSL Tigers 2 — 205177 461132 25363 71 260361390751 130317 1812 341 34 — — — — — —
202318 ROK MLEFCL Tigers — 192172 39512 18471 74 227304302606 76298 249 274 72 — — — — — —
202318 ROK RAWFCL Tigers — 192161 48722 29321 74 298408404812 106359 1715 369 72 — — — — — —
202419 A MLELakeland Flying Tigers — 370333 68531 301034 73 204278246524 42289 288 238 47 — — — — — —
202419 A RAWLakeland Flying Tigers — 370319 73841 44784 73 229330288618 60296 2112 289 47 — — — — — —
202520 A MLE2 teams — 384335 661021 43716 122 197299248547 51247 1811 252 57 — — — — — —
202520 A RAW2 teams — 384319 751221 59526 122 235365295659 60278 1415 314 57 — — — — — —
202621 A+ MLEWest Michigan Whitecaps — 413376 81821 27797 122 215280255536 40268 197 241 49 — — — — — —
202621 A+ RAWWest Michigan Whitecaps — 413365 891021 38627 122 244327290617 47289 159 287 49 — — — — — —
202217 ROK MLEDSL Tigers 2 — 205182 30621 18443 71 165249236485 71209 219 219 34 — — — — — —
202318 ROK MLEFCL Tigers — 192171 39512 18471 74 228304304608 76301 249 274 72 — — — — — —
202419 A MLELakeland Flying Tigers — 370333 68531 301034 73 204278246524 42284 288 238 47 — — — — — —
202520 A MLE2 teams — 384332 661021 43716 122 199299250549 51243 1811 252 57 — — — — — —
202621 A+ MLEWest Michigan Whitecaps — 413376 81821 27797 122 215280255536 40263 197 241 49 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202419 A MLELakeland Flying Tigers — 370333 68531 301034 73 204278246524 42284 288 238 47 — — — — — —
202520 A MLE2 teams — 384332 661021 43716 122 199299250549 51243 1811 252 57 — — — — — —
202621 A+ MLEWest Michigan Whitecaps — 413376 81821 27797 122 215280255536 40263 197 241 49 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202722 MLB MLEDET 0% 523468 971331 431007 92 206282252535 46256 198 250 55 -28 +1 +0 +6 +11 -0.3
▸ 2027 — real world (MLB)
202722 MLB CTXDET 0% 11 0000 000 00 203280248528 45253 00 247 55 -0 +0 +0 +0 +0 -0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202823 MLB MLEDET 35% 364325 69923 31695 71 213289277566 64259 199 262 63 -16 +1 +0 +4 +8 -0.3
202924 MLB MLEDET 46% 408365 801125 35775 71 218295298593 79261 199 272 70 -14 +1 +0 +4 +9 -0.0
203025 MLB MLEDET 52% 455407 901326 39866 82 222298311610 90263 199 279 75 -14 +1 +0 +5 +10 0.2
203126 MLB MLEDET 54% 475425 951328 41916 82 223300320620 96264 199 283 77 -13 +1 +0 +5 +10 0.4
203227 MLB MLEDET 58% 480430 961428 41936 82 224300322622 98265 199 283 78 -13 +1 +0 +5 +10 0.4
203328 MLB MLEDET 56% 477428 951428 41935 61 222298317616 95265 199 281 76 -14 +1 -1 +5 +10 0.2
203429 MLB MLEDET 59% 467419 921327 40935 41 220296311607 92263 209 277 74 -15 +0 -1 +5 +10 -0.0
203530 MLB MLEDET 56% 456409 891326 39925 31 217292304596 87262 209 273 71 -16 +0 -2 +5 +10 -0.3
202823 MLB CTXDET 35% 126112 24311 11242 20 209286272558 63255 199 259 63 -5 +0 +0 +1 +3 -0.1
202924 MLB CTXDET 46% 189169 36512 16362 31 215292292584 77257 198 269 70 -7 +0 +0 +2 +4 -0.0
203025 MLB CTXDET 52% 235210 45613 20443 41 218295305600 87259 199 275 75 -7 +0 +0 +3 +5 0.1
203126 MLB CTXDET 54% 258231 50714 22493 41 220297313610 93260 199 279 77 -7 +0 +0 +3 +6 0.2
203227 MLB CTXDET 58% 280251 54814 24543 41 220297315612 95261 199 279 78 -7 +0 +0 +3 +6 0.2
203328 MLB CTXDET 56% 269241 53814 23533 31 218295310606 92261 209 277 76 -8 +0 -0 +3 +6 0.1
203429 MLB CTXDET 59% 276247 54814 24553 31 216293305597 89260 209 273 74 -9 +0 -1 +3 +6 -0.0
203530 MLB CTXDET 56% 255228 48713 22513 10 213289298587 84258 209 269 71 -9 +0 -1 +3 +6 -0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 18881689 36452825 16236622 246 216293300593 85260 199 274 66 -59 +2 -2 +20 +41 0.3
/ 162G— A+C — 650581 1261839 561268 82 217295305599 88261 199 274 66 -20 +1 -1 +7 +14 0.1
Career— MLE — 53564796 10281392757 460107867 10024 214292290582 76264 209 266 66 -124 +6 -4 +41 +82 0.1
/ 162G— MLE — 650582 1251737 561318 123 215293290583 76264 209 266 66 -21 +1 -1 +7 +14 0.0

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 A+West Michigan Whitecaps · 413 PAwOBA .282 → .241 (−41)K% 15.0% → 19.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.01%÷1.000×1.270——19.07%
BB% (unintentional) /PA9.20%÷1.000×0.710—×1.0126.61%
HBP% /PA1.69%—×0.790—×1.0121.36%
Singles /BIP25.08%÷1.000×0.920×0.994×1.01223.20%
Doubles /BIP3.30%÷1.000×0.810×0.994×1.0122.69%
Triples /BIP0.66%÷1.000×0.850×0.994×1.0120.56%
Home runs /BIP0.33%÷1.000×0.800—×1.0120.27%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .282 → .241; ISO .047 → .038; BABIP .289 → .263. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ALakeland Flying Tigers · 362 PAwOBA .306 → .253 (−53)K% 13.5% → 18.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.54%÷0.998×1.360——18.44%
BB% (unintentional) /PA13.81%÷0.945×0.690—×1.01510.24%
HBP% /PA1.66%—×0.780—×1.0151.31%
Singles /BIP22.96%÷1.051×0.920×1.001×1.01520.41%
Doubles /BIP4.67%÷0.971×0.830×1.001×1.0154.05%
Triples /BIP0.78%÷1.150×0.910×1.001×1.0150.63%
Home runs /BIP0.39%÷0.864×0.800—×1.0150.37%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 110, 2B 94, 3B 130, K 100, BB 89 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .306 → .253; ISO .062 → .053; BABIP .285 → .252. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+West Michigan Whitecaps · 22 PAwOBA .322 → .231 (−92)K% 13.6% → 18.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.64%÷0.960×1.270——18.04%
BB% (unintentional) /PA40.91%÷1.106×0.710—×1.02726.97%
HBP% /PA0.00%—×0.790—×1.0270.00%
Singles /BIP10.00%÷1.027×0.920—×1.0279.20%
Doubles /BIP0.00%÷0.948×0.810—×1.0270.00%
Triples /BIP0.00%÷0.900×0.850—×1.0270.00%
Home runs /BIP0.00%÷0.850×0.800—×1.0270.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 70, 1B 105, 2B 90, 3B 80, K 92, BB 121 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .322 → .231; ISO .000 → .000; BABIP .100 → .092. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ALakeland Flying Tigers · 370 PAwOBA .284 → .238 (−46)K% 21.1% → 27.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.08%÷1.028×1.360——27.89%
BB% (unintentional) /PA11.89%÷1.061×0.690—×1.0307.96%
HBP% /PA1.08%—×0.780—×1.0300.87%
Singles /BIP24.90%÷0.980×0.920×1.040×1.03025.05%
Doubles /BIP3.32%÷1.351×0.830×1.040×1.0302.18%
Triples /BIP1.66%÷1.106×0.910×1.040×1.0301.46%
Home runs /BIP0.41%÷1.099×0.800—×1.0300.31%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 96, 2B 170, 3B 121, K 106, BB 112 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .284 → .238; ISO .060 → .044; BABIP .296 → .284. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 ROKFCL Tigers · 192 PAwOBA .362 → .274 (−88)K% 16.7% → 24.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.67%÷0.972×1.440——24.69%
BB% (unintentional) /PA15.10%÷0.987×0.620—×1.0089.56%
HBP% /PA0.52%—×0.720—×1.0080.38%
Singles /BIP28.68%÷0.987×0.820×1.039×1.00824.93%
Doubles /BIP5.43%÷1.014×0.720×1.039×1.0084.03%
Triples /BIP1.55%÷1.150×0.720×1.039×1.0081.02%
Home runs /BIP1.55%÷0.924×0.780—×1.0081.32%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 97, 2B 103, 3B 130, K 94, BB 97 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .362 → .274; ISO .106 → .078; BABIP .359 → .301. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 DSLDSL Tigers 2 · 205 PAwOBA .333 → .219 (−114)K% 17.6% → 21.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.56%÷0.991×1.220——21.62%
BB% (unintentional) /PA12.20%÷1.003×0.700—×1.0088.57%
HBP% /PA1.46%—×0.700—×1.0081.03%
Singles /BIP21.28%÷0.988×0.680×1.016×1.00814.98%
Doubles /BIP7.80%÷1.047×0.600×1.016×1.0084.57%
Triples /BIP2.13%÷1.113×0.600×1.016×1.0081.17%
Home runs /BIP1.42%÷0.933×0.470—×1.0080.72%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 98, 2B 109, 3B 123, K 98, BB 101 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .333 → .219; ISO .130 → .072; BABIP .317 → .209. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).