Jose Tovar

C FCL Rays
Age 21 L/R 5'10" / 168 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038
Overview
ROKPROSPECTMiLBFA 2039
OGV OFP35OGV rank#1016ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202418ROKTB170.288/.407/.3740353—.193/.299/.248
202519ROKTB146.167/.306/.250023—.109/.201/.155
202620ROKTB118.190/.426/.2780055—.151/.313/.215
2027PROJMLE21MLBTB228.206/.291/.28823670.0
2028PROJ34% MLB22MLBTB38.213/.298/.30601730.0
2029PROJ48% MLB23MLBTB92.217/.301/.31812770.1
Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2038Service0.0First FA2039
2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4
Skills · percentileMiLB Statcast 2026 Rk
BB%96
K%87
Whiff%84
wRC+57
wOBA52
ISO35
Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%
CompsRichi Sanchez (age 21) · Tayden Hall (age 21) · Daniel Vellojin (age 21)
2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 62 proj PA
wRC+†67
AVG/OBP/SLG.204 / .289 / .285
PA62
HR0
K%25
BB%10
ISO82
MLB%0%
Value2027 · WAR
BAT: -2.4 runs (wOBA-derived runs vs avg)-2BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +1.3 runs (Replacement-level credit)+1REPTotal WAR: +0.00+0.0WAR
0.00.51.00.10.30.40.50.50.40.20.10.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus
Tools · ContractCON 44 / POW 33
Toolsscout grade
CONTACT44
scouting grade only
POWER33
scouting grade only
EYE70
scouting grade only
SPEED49
scouting grade only
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2033
Service   0 yrs (est)
Team Control Through   2038
First FA Year   2039
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2033
2028MiLBstill in minors · estimated debut 2033
2029MiLBstill in minors · estimated debut 2033
2030MiLBstill in minors · estimated debut 2033
2031MiLBstill in minors · estimated debut 2033
2032MiLBstill in minors · estimated debut 2033
2033Pre-Arb$0.9M+0.5$1M+$0.8M
2034Pre-Arb$1.0M+0.4$0.9M+$0.5M
2035Pre-Arb$1.0M+0.2$0.4M+$0.0M
2036Arb-1$0.8M+0.1$0.2M+$0.0M (cut)
2037Arb-2$5M———
2038Extbeyond projection horizon · no WAR estimate
Totals $3M $3M +$1M

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 Tampa Bay — 143114 26422 24474 01 228380351731 123364 3317 339 32 — — — — — —
202418 ROKDSL Rays — 170139 401010 22256 31 288407374781 86342 1513 356 53 — — — — — —
202519 ROKFCL Rays — 146120 20620 24340 21 167306250556 83233 2316 264 3 — — — — — —
202620 ROKFCL Rays — 11879 15510 31163 02 190426278705 89231 1426 339 55 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202317 ROK MLEDSL Tampa Bay — 143122 17211 16574 01 139261197457 57238 4011 215 32 — — — — — —
202418 ROK MLEDSL Rays — 170145 28610 16306 31 193299248548 55229 189 247 53 — — — — — —
202519 ROK MLEFCL Rays — 146129 14410 15500 21 109201155356 47176 3410 172 3 — — — — — —
202620 ROK MLEFCL Rays — 11893 14410 19233 02 151313215528 65182 1916 249 55 — — — — — —
202317 ROK MLEDSL Tampa Bay — 143122 17211 16574 01 139261197457 57246 4011 215 32 — — — — — —
202317 ROK RAWDSL Tampa Bay — 143114 26422 24474 01 228380351731 123364 3317 339 32 — — — — — —
202418 ROK MLEDSL Rays — 170145 28610 16306 31 193299248548 55237 189 247 53 — — — — — —
202418 ROK RAWDSL Rays — 170139 401010 22256 31 288407374781 86342 1513 356 53 — — — — — —
202519 ROK MLEFCL Rays — 146129 14410 15500 21 109201155356 47177 3410 172 3 — — — — — —
202519 ROK RAWFCL Rays — 146120 20620 24340 21 167306250556 83233 2316 264 3 — — — — — —
202620 ROK MLEFCL Rays — 11893 14410 19233 02 151313215528 65194 1916 249 55 — — — — — —
202620 ROK RAWFCL Rays — 11879 15510 31163 02 190426278705 89231 1426 339 55 — — — — — —
202317 ROK MLEDSL Tampa Bay — 143122 17211 16574 01 139261197457 57238 4011 215 32 — — — — — —
202418 ROK MLEDSL Rays — 170146 28610 16306 31 192299247546 55229 189 247 53 — — — — — —
202519 ROK MLEFCL Rays — 146130 14410 15500 21 108201154355 46176 3410 172 3 — — — — — —
202620 ROK MLEFCL Rays — 11895 14410 19233 02 147313211524 63182 1916 249 55 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202418 ROK MLEDSL Rays — 170146 28610 16306 31 192299247546 55229 189 247 53 — — — — — —
202519 ROK MLEFCL Rays — 146130 14410 15500 21 108201154355 46176 3410 172 3 — — — — — —
202620 ROK MLEFCL Rays — 11895 14410 19233 02 147313211524 63182 1916 249 55 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202721 MLB MLETB 0% 228202 42822 22582 31 206291288579 82277 2510 267 67 -9 +0 +0 +4 +5 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202822 MLB MLETB 34% 11299 21411 11281 21 211296305600 94279 2510 275 73 -4 +0 +0 +2 +2 0.1
202923 MLB MLETB 48% 190168 35712 18472 31 215299317617 103281 259 282 77 -5 +0 +0 +3 +4 0.3
203024 MLB MLETB 53% 275244 531024 26683 52 218302328630 109282 259 287 80 -7 +0 +0 +5 +6 0.5
203125 MLB MLETB 55% 337298 661326 32834 62 220304335639 114283 259 290 82 -7 +0 +0 +6 +7 0.7
203226 MLB MLETB 56% 374331 741437 36914 72 222305340645 118283 2410 292 84 -7 +1 +0 +7 +8 0.8
203327 MLB MLETB 55% 391347 771537 37964 73 221304337641 116282 259 291 83 -8 +0 +0 +7 +8 0.8
203428 MLB MLETB 55% 396351 781537 38984 63 219302332634 113281 2510 288 81 -9 +0 -1 +7 +9 0.6
203529 MLB MLETB 53% 391347 741426 37984 63 216299326625 109280 259 284 78 -10 +0 -1 +7 +8 0.4
203630 MLB MLETB 53% 381338 721426 36974 53 213295318613 105278 259 279 75 -11 -0 -2 +7 +8 0.2
203731 MLB MLETB 56% 351312 651225 33903 44 209290308598 99275 269 273 71 -12 -1 -3 +6 +8 -0.2
202822 MLB CTXTB 34% 3834 6100 4100 10 213298306604 93282 2611 277 73 -1 +0 +0 +1 +1 0.0
202923 MLB CTXTB 48% 9282 17311 9231 21 217301318620 101284 2510 283 77 -3 +0 +0 +2 +2 0.1
203024 MLB CTXTB 53% 145128 28512 14362 31 220304328632 108285 2510 288 80 -3 +0 +0 +3 +3 0.3
203125 MLB CTXTB 55% 184162 36713 18452 31 222306335641 113286 2410 291 82 -4 +0 +0 +3 +4 0.4
203226 MLB CTXTB 56% 208184 42824 20512 41 224307340646 116286 2510 293 84 -4 +0 +0 +4 +5 0.5
203327 MLB CTXTB 55% 215191 43824 20532 41 223306337643 115286 259 292 83 -4 +0 +0 +4 +5 0.5
203428 MLB CTXTB 55% 216191 41813 21532 31 221303332636 112285 2510 289 81 -5 +0 -0 +4 +5 0.4
203529 MLB CTXTB 53% 209185 40813 20522 32 218301326627 108283 2510 285 78 -5 -0 -1 +4 +5 0.2
203630 MLB CTXTB 53% 200177 38713 19512 32 215297318615 103281 2610 280 75 -6 -0 -1 +4 +4 0.1
203731 MLB CTXTB 56% 198176 37713 18512 22 211292308600 98278 269 274 71 -7 -0 -2 +4 +4 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 17051510 328621126 16342517 2812 217301325625 107283 2510 286 72 -42 +1 -4 +30 +37 2.2
/ 162G— A+C — 650576 12524410 621626 115 217300325624 108283 2510 286 72 -16 +0 -1 +12 +14 0.9
Career— MLE — 38373379 6981362552 37697247 5729 207295308603 101272 2510 275 72 -82 +1 -7 +58 +71 4.1
/ 162G— MLE — 650572 1182349 641658 105 206295308603 101271 2510 275 72 -16 +0 -1 +12 +14 0.8

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 ROKFCL Rays · 118 PAwOBA .339 → .249 (−90)K% 13.6% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.56%÷1.000×1.440——19.53%
BB% (unintentional) /PA26.27%÷1.000×0.620—×0.98516.04%
HBP% /PA2.54%—×0.720—×0.9851.80%
Singles /BIP14.29%÷1.000×0.820×1.021×0.98511.78%
Doubles /BIP7.94%÷1.000×0.720×1.021×0.9855.74%
Triples /BIP1.59%÷1.000×0.720×1.021×0.9851.15%
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .339 → .249; ISO .089 → .075; BABIP .231 → .182. 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 Rays · 146 PAwOBA .258 → .172 (−86)K% 23.3% → 34.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.29%÷0.985×1.440——34.05%
BB% (unintentional) /PA16.44%÷0.991×0.620—×0.99510.24%
HBP% /PA0.00%—×0.720—×0.9950.00%
Singles /BIP13.95%÷1.018×0.820×1.003×0.99511.22%
Doubles /BIP6.98%÷1.026×0.720×1.003×0.9954.89%
Triples /BIP2.33%÷1.150×0.720×1.003×0.9951.45%
Home runs /BIP0.00%÷0.809×0.780—×0.9950.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 62, 1B 104, 2B 105, 3B 130, K 97, BB 98 — 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 ×1.003.

Result: wOBA .258 → .172; ISO .083 → .053; BABIP .233 → .176. 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 DSLDSL Rays · 170 PAwOBA .354 → .247 (−106)K% 14.7% → 17.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.71%÷1.004×1.220——17.86%
BB% (unintentional) /PA12.94%÷0.985×0.700—×0.9959.15%
HBP% /PA3.53%—×0.700—×0.9952.46%
Singles /BIP25.44%÷0.994×0.680×1.027×0.99517.79%
Doubles /BIP8.77%÷1.053×0.600×1.027×0.9955.11%
Triples /BIP0.88%÷0.900×0.600×1.027×0.9950.60%
Home runs /BIP0.00%÷1.160×0.470—×0.9950.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 99, 2B 111, 3B 80, K 101, BB 97 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .354 → .247; ISO .086 → .054; BABIP .342 → .229. 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 Tampa Bay · 143 PAwOBA .334 → .215 (−119)K% 32.9% → 40.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.87%÷0.999×1.220——40.13%
BB% (unintentional) /PA16.78%÷1.025×0.700—×1.00811.55%
HBP% /PA2.80%—×0.700—×1.0081.97%
Singles /BIP26.87%÷0.963×0.680×0.990×1.00818.92%
Doubles /BIP5.97%÷1.106×0.600×0.990×1.0083.23%
Triples /BIP2.99%÷1.061×0.600×0.990×1.0081.68%
Home runs /BIP2.99%÷1.121×0.470—×1.0081.26%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 93, 2B 121, 3B 112, K 100, BB 105 — 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 .334 → .215; ISO .123 → .060; BABIP .364 → .238. 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).