Enrique Jimenez

C Cedar Rapids Kernels
Age 21 S/R 5'9" / 170 lbs A+ Svc 0.0 · Ctrl thru 2036
Overview
A+PROSPECTMiLBFA 2037
OGV OFP40OGV rank#214ETA2028MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202418ROKDET183.242/.372/.3763553—.181/.272/.275
202519A/ROK2 orgs294.256/.373/.47612572—.188/.271/.354
202620A+/A/ROK/INTL2 orgs192.232/.393/.3976082—.205/.318/.334
2027PROJMLE21MLBMIN1.204/.306/.35500880.0
2028PROJ43% MLB22MLBMIN66.209/.309/.36521920.2
2029PROJ61% MLB23MLBMIN144.213/.312/.37252940.4
Next 3 projected WAR 0.6Projected 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$3M+2
Skills · percentileMiLB Statcast 2026 A+
BB%86
Chase%62
ISO59
wOBA41
wRC+41
K%33
Career WAR0.0 WAR median (P10 0.0 / P90 17, comp-based) · star 4% · didn't stick 78%
CompsTravis Denker (age 21) · Juan Brito (age 22) · Brooks Lee (age 22)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†88
AVG/OBP/SLG.204 / .306 / .355
PA1
HR0
K%24
BB%12
BABIP244
ISO138
MLB%0%
Value2027 · WAR
BAT: -1.4 runs (wOBA-derived runs vs avg)-1BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.4 runs (Defensive runs vs avg)-0FLDPOS: +1.8 runs (Positional adjustment)+2POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: +0.30+0.3WAR
0.00.51.00.00.20.40.70.91.01.00.90.70.527282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$35M ctrl surplus
Contract
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+0.9$3M+$2M
2032Pre-Arb$0.9M+1.0$5M+$5M
2033Pre-Arb$0.9M+1.0$5M+$5M
2034Arb-1$3M+0.9$2M+$0.7M
2035Arb-2$4M+0.7$2M+$0.0M (cut)
2036Arb-3$5M+0.5$1M+$0.0M (cut)
Totals $6M $18M +$12M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
202317 ROKDSL Tigers 1 — 170141 391131 24303 32 277393418811 142339 1814 363 51 — — — — — —
202418 ROKFCL Tigers — 183149 36913 28443 52 242372376748 134314 2415 339 53 — — — — — —
202519 AFort Myers Mighty Mussels — 10278 21216 23240 10 269436551987 282306 2423 427 115 — — — — — —
202519 ROKFCL Tigers — 192168 421026 23420 41 250340440781 190298 2212 345 49 — — — — — —
202620 A+Cedar Rapids Kernels — 10688 18304 18290 00 205340375715 170255 2717 327 57 — — — — — —
202620 AFort Myers Mighty Mussels — 4935 11102 1380 01 3145005141.014 200346 1627 444 139 — — — — — —
202620 ROKFCL Twins — 1914 4100 530 00 286474357831 71364 1626 394 75 — — — — — —
202620 INTLSalt River Rafters — 1814 2010 490 00 143333286619 143400 5022 295 86 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202317 ROK MLEDSL Tigers 1 — 170150 27821 15373 32 180268280548 100221 229 243 51 — — — — — —
202418 ROK MLEFCL Tigers — 183160 29712 17643 52 181272275547 94264 359 246 53 — — — — — —
202519 A MLEFort Myers Mighty Mussels — 10285 18215 16330 10 212337435772 224262 3216 338 115 — — — — — —
202519 ROK MLEFCL Tigers — 192177 31715 14600 41 175236311546 136230 317 241 49 — — — — — —
202620 A+ MLECedar Rapids Kernels — 10693 15203 13370 00 161264280544 118227 3512 252 57 — — — — — —
202620 A MLEFort Myers Mighty Mussels — 4939 11102 9110 01 282417462878 179316 2218 374 139 — — — — — —
202620 ROK MLEFCL Twins — 1916 4100 340 00 250368312681 62285 2116 279 75 — — — — — —
202317 ROK MLEDSL Tigers 1 — 170150 27821 15373 32 180268280548 100228 229 243 51 — — — — — —
202317 ROK RAWDSL Tigers 1 — 170141 391131 24303 32 277393418811 142339 1814 363 51 — — — — — —
202418 ROK MLEFCL Tigers — 183160 29712 17643 52 181272275547 94278 359 246 53 — — — — — —
202418 ROK RAWFCL Tigers — 183149 36913 28443 52 242372376748 134314 2415 339 53 — — — — — —
202519 ROK MLE2 teams — 294262 498210 30930 51 187271347618 160242 3210 275 72 — — — — — —
202519 ROK RAW2 teams — 294246 6312312 46660 51 256373476849 220300 2216 374 72 — — — — — —
202620 A+ MLE4 teams — 192163 31405 28570 01 190309307616 117255 3015 289 82 — — — — — —
202620 A+ RAW4 teams — 192151 35516 40490 01 232393397790 166299 2621 361 82 — — — — — —
202317 ROK MLEDSL Tigers 1 — 170150 27821 15373 32 180268280548 100221 229 243 51 — — — — — —
202418 ROK MLEFCL Tigers — 183161 29712 17643 52 180272273546 93264 359 246 53 — — — — — —
202519 ROK MLE2 teams — 294262 498210 30930 51 187271347618 160241 3210 275 72 — — — — — —
202620 A+ MLE4 teams — 192162 31405 28570 01 191309309618 117258 3015 289 82 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202418 ROK MLEFCL Tigers — 183161 29712 17643 52 180272273546 93264 359 246 53 — — — — — —
202519 ROK MLE2 teams — 294262 498210 30930 51 187271347618 160241 3210 275 72 — — — — — —
202620 A+ MLE4 teams — 192162 31405 28570 01 191309309618 117258 3015 289 82 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202721 MLB MLEMIN 0% 284246 51919 34692 41 204306355660 150244 2412 299 88 -4 +0 -1 +5 +6 0.3
▸ 2027 — real world (MLB)
202721 MLB CTXMIN 0% 11 0000 000 00 204306355661 151244 00 299 88 -0 +0 -0 +0 +0 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202822 MLB MLEMIN 43% 153133 28515 18361 21 209309364674 155247 2412 304 92 -1 +0 -1 +3 +3 0.4
202923 MLB MLEMIN 61% 237205 44818 28562 41 213312372683 159250 2412 308 94 -2 +0 -1 +4 +5 0.8
203024 MLB MLEMIN 66% 320278 5911110 37742 51 216314377691 161253 2312 310 96 -1 +1 -1 +6 +7 1.1
203125 MLB MLEMIN 69% 369320 7113212 43863 62 218315380694 162255 2312 312 97 -1 +0 -1 +7 +8 1.3
203226 MLB MLEMIN 70% 397345 7614213 46923 62 219315381696 162257 2312 312 97 -1 +0 -1 +7 +9 1.4
203327 MLB MLEMIN 69% 408355 7714213 47953 62 218314378692 160256 2312 311 96 -2 +0 -1 +7 +9 1.4
203428 MLB MLEMIN 68% 411358 7814213 47973 52 216312373685 157255 2411 308 95 -3 +0 -1 +7 +9 1.3
203529 MLB MLEMIN 67% 403351 7413113 46963 31 213309367676 153253 2411 304 92 -4 +0 -2 +7 +9 1.0
203630 MLB MLEMIN 66% 392342 7213112 45952 21 210305358664 148251 2411 300 89 -5 +0 -3 +7 +8 0.8
203731 MLB MLEMIN 65% 361315 6512110 41882 11 206300348649 143248 2411 294 85 -7 -0 -3 +6 +8 0.4
203832 MLB MLEMIN 65% 321280 571019 36802 10 200294335629 135244 2511 286 80 -8 +0 -4 +6 +7 0.1
203933 MLB MLEMIN 65% 272239 47817 30691 10 194287320607 126239 2511 277 73 -9 +0 -5 +5 +6 -0.2
202822 MLB CTXMIN 43% 6658 11202 8160 10 209309365675 156247 2412 304 92 -1 +0 -0 +1 +1 0.2
202923 MLB CTXMIN 61% 144125 28515 17341 21 213312372684 160250 2412 308 94 -1 +0 -0 +3 +3 0.4
203024 MLB CTXMIN 66% 212184 40717 25491 31 216314378692 162253 2312 311 96 -1 +0 -0 +4 +5 0.7
203125 MLB CTXMIN 69% 253220 48918 29592 41 218315381695 163255 2311 312 97 -1 +0 -0 +5 +5 0.9
203226 MLB CTXMIN 70% 277241 531019 32642 41 219315382697 163257 2312 313 97 -1 +0 -1 +5 +6 1.0
203327 MLB CTXMIN 69% 281245 531019 32652 41 218314379693 161256 2311 311 96 -1 +0 -1 +5 +6 1.0
203428 MLB CTXMIN 68% 281245 531019 32662 31 216312374686 158255 2311 308 95 -2 +0 -1 +5 +6 0.9
203529 MLB CTXMIN 67% 269234 50918 31642 21 213309367676 154254 2412 305 92 -3 +0 -1 +5 +6 0.7
203630 MLB CTXMIN 66% 258225 47818 29622 11 210305359665 149251 2411 300 89 -3 -0 -2 +5 +6 0.5
203731 MLB CTXMIN 65% 235206 43817 26581 10 206301349649 143248 2511 294 85 -4 +0 -2 +4 +5 0.3
203832 MLB CTXMIN 65% 208182 37616 23521 10 200294336630 136244 2511 286 80 -5 +0 -3 +4 +5 0.1
203933 MLB CTXMIN 65% 176154 30505 19451 00 194287321607 127239 2611 277 73 -6 +0 -3 +3 +4 -0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 26602319 493891083 30363417 268 213308367675 154254 2411 303 87 -28 +2 -15 +48 +58 6.6
/ 162G— A+C — 650567 12022220 741554 62 212307363670 152253 2411 303 87 -7 +0 -4 +12 +14 1.6
Career— MLE — 49844343 90116521146 566123934 5620 207304356660 149253 2511 296 87 -45 +3 -23 +74 +90 10.1
/ 162G— MLE — 650566 11822319 741624 73 208304359663 150254 2511 296 87 -7 +0 -4 +12 +14 1.6

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+Cedar Rapids Kernels · 106 PAwOBA .319 → .252 (−67)K% 27.4% → 34.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.36%÷1.000×1.270——34.75%
BB% (unintentional) /PA16.98%÷1.000×0.710—×1.02712.38%
HBP% /PA0.00%—×0.790—×1.0270.00%
Singles /BIP18.64%÷1.000×0.920×0.983×1.02717.31%
Doubles /BIP5.08%÷1.000×0.810×0.983×1.0274.16%
Triples /BIP0.00%÷1.000×0.850×0.983×1.0270.00%
Home runs /BIP6.78%÷1.000×0.800—×1.0275.57%

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 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .319 → .252; ISO .170 → .133; BABIP .255 → .227. 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).

2026 AFort Myers Mighty Mussels · 49 PAwOBA .443 → .374 (−69)K% 16.3% → 22.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.33%÷1.000×1.360——22.20%
BB% (unintentional) /PA26.53%÷1.000×0.690—×1.01518.58%
HBP% /PA0.00%—×0.780—×1.0150.00%
Singles /BIP29.63%÷1.000×0.920—×1.01527.67%
Doubles /BIP3.70%÷1.000×0.830—×1.0153.12%
Triples /BIP0.00%÷1.000×0.910—×1.0150.00%
Home runs /BIP7.41%÷1.000×0.800—×1.0156.01%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — 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).

Result: wOBA .443 → .374; ISO .200 → .175; BABIP .346 → .316. 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).

2026 ROKFCL Twins · 19 PAwOBA .386 → .279 (−107)K% 15.8% → 22.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.79%÷1.000×1.440——22.74%
BB% (unintentional) /PA26.32%÷1.000×0.620—×0.98516.07%
HBP% /PA0.00%—×0.720—×0.9850.00%
Singles /BIP27.27%÷1.000×0.820—×0.98522.03%
Doubles /BIP9.09%÷1.000×0.720—×0.9856.45%
Triples /BIP0.00%÷1.000×0.720—×0.9850.00%
Home runs /BIP0.00%÷1.000×0.780—×0.9850.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .386 → .279; ISO .071 → .054; BABIP .364 → .285. 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 ROKFCL Tigers · 192 PAwOBA .338 → .241 (−97)K% 21.9% → 31.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.88%÷1.001×1.440——31.46%
BB% (unintentional) /PA11.98%÷0.996×0.620—×0.9957.42%
HBP% /PA0.00%—×0.720—×0.9950.00%
Singles /BIP19.05%÷0.974×0.820×0.967×0.99515.43%
Doubles /BIP7.94%÷0.992×0.720×0.967×0.9955.54%
Triples /BIP1.59%÷0.900×0.720×0.967×0.9951.22%
Home runs /BIP4.76%÷0.880×0.780—×0.9954.20%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 95, 2B 98, 3B 80, K 100, BB 99 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .338 → .241; ISO .190 → .144; BABIP .298 → .230. 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 AFort Myers Mighty Mussels · 102 PAwOBA .421 → .338 (−82)K% 23.5% → 32.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.53%÷0.994×1.360——32.19%
BB% (unintentional) /PA22.55%÷1.054×0.690—×1.03015.20%
HBP% /PA0.00%—×0.780—×1.0300.00%
Singles /BIP22.22%÷1.029×0.920×0.950×1.03019.45%
Doubles /BIP3.70%÷1.032×0.830×0.950×1.0302.91%
Triples /BIP1.85%÷1.000×0.910×0.950×1.0301.65%
Home runs /BIP11.11%÷0.898×0.800—×1.03010.20%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 106, 2B 106, 3B 100, K 99, BB 111 — 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 ×0.950.

Result: wOBA .421 → .338; ISO .282 → .253; BABIP .306 → .262. 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 ROKFCL Tigers · 183 PAwOBA .336 → .246 (−90)K% 24.0% → 34.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.04%÷0.991×1.440——34.92%
BB% (unintentional) /PA15.30%÷1.040×0.620—×1.0089.19%
HBP% /PA1.64%—×0.720—×1.0081.19%
Singles /BIP21.90%÷0.993×0.820×1.050×1.00819.14%
Doubles /BIP8.57%÷0.981×0.720×1.050×1.0086.66%
Triples /BIP0.95%÷0.947×0.720×1.050×1.0080.77%
Home runs /BIP2.86%÷0.952×0.780—×1.0082.36%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 99, 2B 96, 3B 89, K 98, BB 108 — 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 ×1.050.

Result: wOBA .336 → .246; ISO .134 → .103; BABIP .314 → .264. 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 DSLDSL Tigers 1 · 170 PAwOBA .355 → .243 (−112)K% 17.6% → 21.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.65%÷0.995×1.220——21.63%
BB% (unintentional) /PA12.94%÷1.009×0.700—×1.0089.04%
HBP% /PA1.76%—×0.700—×1.0081.24%
Singles /BIP21.62%÷1.058×0.680×0.996×1.00813.95%
Doubles /BIP9.91%÷0.901×0.600×0.996×1.0086.63%
Triples /BIP2.70%÷0.900×0.600×0.996×1.0081.81%
Home runs /BIP0.90%÷0.862×0.470—×1.0080.49%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 72, 1B 112, 2B 80, 3B 80, K 99, BB 102 — 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 ×0.996.

Result: wOBA .355 → .243; ISO .142 → .096; BABIP .339 → .221. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .