Junior Caminero

3B Tampa Bay Rays
Age 24 R/R 6'1" / 220 lbs MLB HR -6%H +4% Svc 2.337 · Ctrl thru 2030
Overview
MLB40-MANPre-ArbFA 2031
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202421AAA/ROK/INTL2 orgs293.292/.353/.524162106—.245/.296/.422
202421MLBTB177.248/.299/.42462980.5
202522MLBTB653.264/.314/.5354571263.7
202623MLBTB702.276/.362/.5244231404.9
2027PROJ24MLBTB614.267/.335/.5033541343.8
2028PROJ25MLBTB614.268/.337/.5073541363.9
2029PROJ26MLBTB614.268/.337/.5073641353.9
Last 3 seasons WAR 9.1  ·  Next 3 projected WAR 11.6Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2030Service2.337First FA2031
2027Pre-Arb$0.8M2028Arb-1$9M2029Arb-2$15M2030Arb-3$23M
Skills · percentileStatcast 2024-2026
Avg EV90
Bat Spd90
xwOBA85
Barrel%84
Speed33
Form.265/.333/.509 · rolling true talent (60d window) · proj .267/.332/.508
CompsEvan Longoria (age 24) · Eloy Jiménez (age 24) · Eric Chavez (age 24)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 135134vR 130
AVG/OBP/SLG.267 / .335 / .503
PA614
HR35
K%19
BB%9
BABIP277
ISO236
MLB%100%
Value2027 · WAR
BAT: +24.9 runs (wOBA-derived runs vs avg)+25BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: -3.8 runs (Defensive runs vs avg)-4FLDPOS: +2.2 runs (Positional adjustment)+2POSREP: +13.3 runs (Replacement-level credit)+13REPTotal WAR: +4.20+4.2WAR
0.02.55.04.23.93.93.827282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$79M ctrl surplus
Tools · Recent Form · Splits · Contract
ToolsStatcast %ile · 2024-2026
CONTACT
xAVG
620.261
POWER
Barrel%
8413.3
Avg EV
9092.2
Bat Spd
9079.6
SPEED
Sprint
3326.7
Recent Formrolling true talent ⓘ
K%19%·19% over 118 PA (60d) · proj 19%
BB%9%·9% over 118 PA (60d) · proj 9%
ISO.244·.248 over 105 AB (60d) · proj .242
HR/BB8.3%·8.4% over 83 BBE (60d) · proj 8.2%
BABIP.274·.263 over 76 BIP (60d) · proj .275
SLASH.265/.333/.509·proj .267/.332/.508
Platoon Splits2024-2026 · 948 PA
vs LHP
vs RHP
Edge
PA
251
697
—
wRC+
124
128
▶R
wOBA
351
357
—
ISO
222
261
▶▶R
BABIP
251
269
▶R
K%
13.9%
20.9%
◀◀L
BB%
8.0%
6.0%
◀◀L
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2023
Service   2.337 yrs.days
Team Control Through   2030
First FA Year   2031
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+4.2$48M+$47M
2028Arb-1$9M+3.9$39M+$31M
2029Arb-2$15M+3.9$36M+$24M
2030Arb-3$23M+3.8$32M+$15M
Totals $48M $155M +$117M

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)
202118 ROKDSL Indians Red — 171146 43809 20282 20 295387534921 240304 1612 397 54 — — — — — —
202219 ACharleston RiverDogs — 117107 32216 8222 50 299359505864 206329 197 381 103 — — — — — —
202219 ROKFCL Rays — 154132 43515 15214 71 326411492903 167349 1410 395 93 — — — — — —
202219 INTLPerth Heat — 171155 474114 15311 61 303368613981 310300 189 424 173 — — — — — —
202320 MLBTampa Bay Rays — 3634 8101 280 00 235278353631 118280 226 283 77 -1 +0 +1 +2 +1 0.3
202320 AAMontgomery Biscuits — 351314 979320 32602 34 309376548924 239325 179 401 125 — — — — — —
202320 A+Bowling Green Hot Rods — 159146 529311 10403 21 3564096851.094 329432 256 470 125 — — — — — —
202320 INTLLeones del Escogido — 9487 29605 4191 21 333370575944 241369 204 403 159 — — — — — —
202421 MLBTampa Bay Rays — 177165 41916 11381 20 248299424724 176289 216 320 98 -0 +0 -0 +2 +4 0.5
202421 AAADurham Bulls — 236217 609013 16502 11 276332498830 221303 217 363 91 — — — — — —
202421 ROKFCL Rays — 2217 4103 520 00 2354098241.233 58883 923 501 132 — — — — — —
202421 INTLLeones del Escogido — 3533 14400 111 12 4244575451.003 121438 33 446 188 — — — — — —
202522 MLBTampa Bay Rays — 653602 15928045 411253 71 264314535849 271260 196 365 126 +20 +1 -1 +2 +14 3.7
202623 MLBTampa Bay Rays — 702616 17025142 791294 33 276362524886 248286 1811 387 140 +33 -1 -3 +3 +15 4.9
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 15681417 37863294 1333008 124 267333513846 246275 198 368 135 +65 +1 -3 +9 +34 10.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202118 ROK MLEDSL Indians Red — 171153 27504 13342 20 176250288538 111194 208 248 54 — — — — — —
202219 A MLECharleston RiverDogs — 117109 30215 6302 50 275325450774 174325 265 320 103 — — — — — —
202219 ROK MLEFCL Rays — 154137 35414 10304 71 255325387711 131276 196 306 93 — — — — — —
202320 MLB MLETampa Bay Rays — 3634 8101 280 00 235278353631 118280 226 283 77 -1 +0 +1 +2 +1 0.3
202320 AA MLEMontgomery Biscuits — 351325 979316 21722 34 298345492837 194329 216 353 125 — — — — — —
202320 A+ MLEBowling Green Hot Rods — 159150 42729 6553 21 280321533854 253382 354 353 125 — — — — — —
202421 MLB MLETampa Bay Rays — 177167 41916 9381 20 246288419707 174289 215 313 98 -0 +0 -0 +2 +4 0.5
202421 AAA MLEDurham Bulls — 236221 56809 12592 11 253298412710 158300 255 303 91 — — — — — —
202421 ROK MLEFCL Rays — 2219 3102 330 00 158273526799 36859 1414 364 132 — — — — — —
202522 MLB MLETampa Bay Rays — 653603 15426044 401253 71 255305517822 262260 196 354 126 +20 +1 -1 +2 +14 3.7
202623 MLB MLETampa Bay Rays — 702630 17026143 651294 33 270342519861 249286 189 375 140 +33 -1 -3 +3 +15 4.9
202118 ROK MLEDSL Indians Red — 171153 27504 13342 20 176250288538 111195 208 248 54 — — — — — —
202118 ROK RAWDSL Indians Red — 171146 43809 20282 20 295387534921 240304 1612 397 54 — — — — — —
202219 INTL MLE3 teams — 442406 1049315 26997 182 256312404716 148302 226 312 97 — — — — — —
202219 INTL RAW3 teams — 442394 12211325 38747 182 310380543924 234326 179 402 97 — — — — — —
202320 AA MLE4 teams — 640595 17219630 341586 76 289334492826 203345 255 348 122 — — — — — —
202320 AA RAW4 teams — 640581 18625637 481276 76 320378575953 255353 208 412 122 — — — — — —
202421 AAA MLE4 teams — 470439 10820119 261084 43 246294426720 180284 236 310 96 — — — — — —
202421 AAA RAW4 teams — 470432 11923122 33914 43 275333486819 211303 197 359 96 — — — — — —
202522 MLB MLETampa Bay Rays — 653603 15426044 401253 71 255305517822 262249 196 354 126 +20 +1 -1 +2 +14 3.7
202522 MLB RAWTampa Bay Rays — 653602 15928045 411253 71 264314535849 271260 196 365 126 +20 +1 -1 +2 +14 3.7
202623 MLB MLETampa Bay Rays — 702630 17026143 651294 33 270342519861 249275 189 375 140 +33 -1 -3 +3 +15 4.9
202623 MLB RAWTampa Bay Rays — 702616 17025142 791294 33 276362524886 248286 1811 387 140 +33 -1 -3 +3 +15 4.9
202118 ROK MLEDSL Indians Red — 171154 27504 13342 20 175250286536 110194 208 248 54 — — — — — —
202219 INTL MLE3 teams — 442406 1049315 26997 182 256312404716 148297 226 312 97 — — — — — —
202320 AA MLE4 teams — 640595 17219630 341586 76 289334492826 203341 255 348 122 — — — — — —
202421 AAA MLE4 teams — 470437 10820119 261084 43 247294428722 181283 236 310 96 — — — — — —
202522 MLB MLETampa Bay Rays — 653605 15426044 401253 71 255305516821 261260 196 354 126 — — — — — —
202623 MLB MLETampa Bay Rays — 702627 17026143 651294 33 271342522863 250286 189 375 140 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202421 AAA MLE4 teams — 470437 10820119 261084 43 247294428722 181283 236 310 96 — — — — — —
202522 MLB MLETampa Bay Rays — 653605 15426044 401253 71 255305516821 261260 196 354 126 — — — — — —
202623 MLB MLETampa Bay Rays — 702627 17026143 651294 33 271342522863 250286 189 375 140 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202724 MLB MLETB 100% 643579 15525138 551214 51 267335508843 241275 199 366 134 +26 +1 -4 +2 +14 4.2
▸ 2027 — real world (MLB)
202724 MLB CTXTB 100% 614552 14823135 531164 41 267335503838 235277 199 365 134 +25 +0 -4 +2 +13 3.8
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202825 MLB MLETB 100% 614552 14823137 531154 41 268336513849 245275 199 369 136 +26 +0 -4 +2 +13 3.9
202926 MLB MLETB 100% 614551 14823137 541154 41 268336512849 245275 199 368 135 +26 +0 -4 +2 +13 3.9
203027 MLB MLETB 100% 614552 14723136 541163 31 266335509845 243274 199 367 134 +25 +0 -4 +2 +13 3.8
203128 MLB MLETB 100% 614552 14623136 541183 21 264333504838 240273 199 364 133 +24 +0 -4 +2 +13 3.5
203229 MLB MLETB 100% 592533 14022134 511153 21 262330498828 236271 199 360 130 +21 +0 -5 +2 +13 3.2
203330 MLB MLETB 100% 569512 13221032 491123 10 258326489815 230269 209 355 126 +18 +0 -6 +2 +12 2.7
203431 MLB MLETB 100% 552498 12619031 471112 10 253321477798 224265 209 348 122 +14 +0 -6 +2 +12 2.3
203532 MLB MLETB 100% 537485 12018029 451112 10 247314463776 216260 218 339 116 +10 +0 -7 +2 +12 1.7
203633 MLB MLETB 100% 476433 10415025 391011 10 239305445750 206253 218 329 109 +5 +0 -7 +2 +10 1.0
203734 MLB MLETB 100% 419381 8812021 34921 00 229294424717 194245 228 315 100 -0 +0 -7 +1 +9 0.3
203835 MLB MLETB 100% 351319 719016 28801 00 222284403688 182241 238 303 91 -4 +0 -8 +1 +8 -0.3
202825 MLB CTXTB 100% 614552 14823135 531154 41 268337507844 239278 199 367 136 +26 +0 -4 +2 +13 3.9
202926 MLB CTXTB 100% 614551 14923136 541154 41 268337507843 238277 199 367 135 +26 +0 -4 +2 +13 3.9
203027 MLB CTXTB 100% 614552 14723135 541163 31 267336504840 237276 199 365 134 +25 +0 -4 +2 +13 3.8
203128 MLB CTXTB 100% 614552 14723135 541183 21 265334499832 234275 199 362 133 +24 +0 -4 +2 +13 3.5
203229 MLB CTXTB 100% 592533 14021133 511153 21 262331492823 230274 199 358 130 +21 +0 -5 +2 +13 3.2
203330 MLB CTXTB 100% 569512 13220031 491123 10 259327483810 224271 209 353 126 +18 +0 -6 +2 +12 2.7
203431 MLB CTXTB 100% 552498 12719030 471112 10 254321472793 218267 209 347 122 +14 +0 -6 +2 +12 2.3
203532 MLB CTXTB 100% 537485 12017028 451112 10 248314458772 210262 218 338 116 +10 +0 -7 +2 +12 1.7
203633 MLB CTXTB 100% 476433 10314024 391011 10 240305440746 200256 218 327 109 +5 +0 -7 +2 +10 1.0
203734 MLB CTXTB 100% 419381 8711020 34921 00 230294419713 189248 228 314 100 -0 +0 -7 +1 +9 0.3
203835 MLB CTXTB 100% 351319 729016 28801 00 223285399685 177243 238 302 91 -4 +0 -8 +1 +8 -0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 75206785 17502667417 641148635 319 258325484809 226271 209 353 122 +231 +3 -65 +30 +163 36.9
/ 162G— A+C — 650586 15223136 551283 31 259326486812 227273 208 353 122 +20 +0 -6 +3 +14 3.2
Career— MLE — 96448746 225233617525 765195557 6421 257321480801 222273 208 348 122 +256 +3 -68 +32 +176 40.7
/ 162G— MLE — 650589 15223135 521324 41 258322479801 221275 208 348 122 +20 +0 -5 +3 +14 3.3

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.

2024 AAADurham Bulls · 236 PAwOBA .354 → .303 (−51)K% 21.2% → 25.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.19%÷1.014×1.200——25.06%
BB% (unintentional) /PA6.78%÷0.971×0.690—×1.0505.06%
HBP% /PA0.85%—×0.940—×1.0500.84%
Singles /BIP22.75%÷0.985×0.930×1.048×1.05023.63%
Doubles /BIP5.39%÷0.994×0.830×1.048×1.0504.95%
Triples /BIP0.00%÷0.900×0.970×1.048×1.0500.00%
Home runs /BIP7.78%÷1.061×0.700—×1.0505.39%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 97, 2B 99, 3B 80, K 103, BB 94 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .354 → .303; ISO .221 → .159; BABIP .303 → .300. 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 Rays · 22 PAwOBA .487 → .364 (−123)K% 9.1% → 13.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.09%÷0.980×1.440——13.36%
BB% (unintentional) /PA22.73%÷1.024×0.620—×0.98513.55%
HBP% /PA0.00%—×0.720—×0.9850.00%
Singles /BIP0.00%÷1.024×0.820—×0.9850.00%
Doubles /BIP6.67%÷0.941×0.720—×0.9855.02%
Triples /BIP0.00%÷1.150×0.720—×0.9850.00%
Home runs /BIP20.00%÷1.002×0.780—×0.98515.33%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 105, 2B 88, 3B 130, K 96, BB 105 — 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 .487 → .364; ISO .588 → .483; BABIP .083 → .059. 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 AAMontgomery Biscuits · 351 PAwOBA .392 → .353 (−39)K% 17.1% → 20.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.09%÷1.022×1.220——20.41%
BB% (unintentional) /PA8.83%÷1.072×0.680—×1.0505.88%
HBP% /PA0.57%—×0.840—×1.0500.50%
Singles /BIP25.59%÷0.949×0.920×1.035×1.05026.94%
Doubles /BIP3.54%÷1.030×0.910×1.035×1.0503.40%
Triples /BIP1.18%÷1.150×0.880×1.035×1.0500.98%
Home runs /BIP7.87%÷1.087×0.800—×1.0506.08%

Factors used: league row SL. Park (home-season share, regressed): HR 117, 1B 90, 2B 106, 3B 130, K 104, BB 114 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.035.

Result: wOBA .392 → .353; ISO .239 → .193; BABIP .325 → .329. 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 A+Bowling Green Hot Rods · 159 PAwOBA .456 → .353 (−103)K% 25.2% → 34.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.16%÷0.950×1.310——34.68%
BB% (unintentional) /PA6.29%÷1.060×0.600—×1.0423.71%
HBP% /PA1.89%—×0.770—×1.0421.51%
Singles /BIP27.36%÷1.008×0.870×1.039×1.04225.58%
Doubles /BIP8.49%÷1.047×0.780×1.039×1.0426.85%
Triples /BIP2.83%÷1.103×0.850×1.039×1.0422.36%
Home runs /BIP10.38%÷1.066×0.880—×1.0428.92%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 113, 1B 102, 2B 109, 3B 121, K 90, BB 112 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .456 → .353; ISO .329 → .251; BABIP .432 → .382. 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 ROKFCL Rays · 154 PAwOBA .392 → .306 (−86)K% 13.6% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.64%÷1.005×1.440——19.55%
BB% (unintentional) /PA9.74%÷0.956×0.620—×1.0086.37%
HBP% /PA2.60%—×0.720—×1.0081.88%
Singles /BIP28.83%÷1.023×0.820×0.993×1.00823.12%
Doubles /BIP4.50%÷0.933×0.720×0.993×1.0083.48%
Triples /BIP0.90%÷1.005×0.720×0.993×1.0080.65%
Home runs /BIP4.50%÷0.902×0.780—×1.0083.93%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 105, 2B 87, 3B 101, K 101, BB 91 — 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 ×0.993.

Result: wOBA .392 → .306; ISO .167 → .139; BABIP .349 → .276. 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 ACharleston RiverDogs · 117 PAwOBA .370 → .320 (−50)K% 18.8% → 26.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.80%÷0.985×1.360——25.97%
BB% (unintentional) /PA6.84%÷0.983×0.690—×1.0455.02%
HBP% /PA1.71%—×0.780—×1.0451.39%
Singles /BIP27.06%÷0.970×0.920×1.022×1.04527.38%
Doubles /BIP2.35%÷1.066×0.830×1.022×1.0451.96%
Triples /BIP1.18%÷1.053×0.910×1.022×1.0451.09%
Home runs /BIP7.06%÷0.943×0.800—×1.0456.26%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 94, 2B 113, 3B 111, K 97, BB 97 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .370 → .320; ISO .206 → .169; BABIP .329 → .325. 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).

2021 DSLDSL Indians Red · 171 PAwOBA .390 → .248 (−142)K% 16.4% → 19.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.37%÷1.006×1.220——19.86%
BB% (unintentional) /PA10.53%÷0.998×0.700—×1.0087.44%
HBP% /PA1.17%—×0.700—×1.0080.82%
Singles /BIP22.03%÷0.996×0.680×0.990×1.00815.01%
Doubles /BIP6.78%÷0.982×0.600×0.990×1.0084.13%
Triples /BIP0.00%÷1.000×0.600×0.990×1.0080.00%
Home runs /BIP7.63%÷1.017×0.470—×1.0083.55%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 99, 2B 96, 3B 100, K 101, BB 100 — 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 ×0.990.

Result: wOBA .390 → .248; ISO .240 → .124; BABIP .304 → .194. 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 — .