Dariel Ramon

SS Dunedin Blue Jays
Age 21 R/R 5'7" / 160 lbs A Svc 0.0 · Ctrl thru 2037
Overview
APROSPECTMiLBFA 2038
OGV OFP35OGV rank#900ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202418ROKTOR193.233/.411/.28101148—.165/.305/.196
202519A/ROKTOR252.241/.386/.31501850—.184/.295/.235
202620A+/ATOR337.231/.360/.33942368—.203/.306/.290
2027PROJMLE21MLBTOR447.190/.285/.26631461-0.1
2028PROJ34% MLB22MLBTOR96.198/.293/.2911369-0.0
2029PROJ48% MLB23MLBTOR176.204/.297/.30836740.1
Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2037Service0.0First FA2038
2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3
Skills · percentileMiLB Statcast 2026 A+
Speed96
Whiff%94
Z-Con%92
Chase%90
BB%68
K%58
Career WAR0.0 WAR median (P10 -0.2 / P90 5.0, comp-based) · star 1% · didn't stick 87%
CompsJenner Emeterio (age 21) · Juan Mora (age 21) · Rafael P Valera (age 20)
2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA
wRC+†61
AVG/OBP/SLG.189 / .283 / .264
PA210
HR2
SB7
K%21
BB%9
ISO76
MLB%0%
Value2027 · WAR
BAT: -9.8 runs (wOBA-derived runs vs avg)-10BATRUN: +1.2 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.2 runs (Positional adjustment)+2POSREP: +4.5 runs (Replacement-level credit)+5REPTotal WAR: -0.10-0.1WAR
0.00.51.00.10.20.40.40.40.30.10.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus
Tools · ContractCON 40 / POW 20
Toolsscout grade
CONTACT40
scouting grade only
POWER20
scouting grade only
EYE60
scouting grade only
SPEED55
scouting grade only
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Pre-Arb$0.9M+0.4$1M+$0.6M
2033Pre-Arb$0.9M+0.4$1M+$0.5M
2034Pre-Arb$1.0M+0.3$0.7M+$0.2M
2035Arb-1$1M+0.1$0.2M+$0.0M (cut)
2036Arb-2$1M———
2037Extbeyond 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.

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 Blue Jays — 9680 20510 11255 02 250375338713 88364 2611 334 39 — — — — — —
202418 ROKDSL Blue Jays — 193146 34510 342710 112 233411281691 48279 1418 334 48 — — — — — —
202519 ADunedin Blue Jays — 5248 11400 4140 41 229288312601 83324 278 274 25 — — — — — —
202519 ROKFCL Blue Jays — 200155 38720 35299 142 245412316728 71299 1418 347 57 — — — — — —
202620 A+Vancouver Canadians — 5848 8210 8131 20 167298250548 83222 2214 259 30 — — — — — —
202620 ADunedin Blue Jays — 279229 561214 344213 213 245373358731 114284 1512 337 76 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202317 ROK MLEDSL Blue Jays — 9683 14310 8305 02 169281229510 60251 318 226 39 — — — — — —
202418 ROK MLEDSL Blue Jays — 193158 26310 223410 112 165305196501 32195 1811 239 48 — — — — — —
202519 A MLEDunedin Blue Jays — 5249 9300 3200 41 184231245476 61294 386 205 25 — — — — — —
202519 ROK MLEFCL Blue Jays — 200168 31610 22429 142 185312232544 48238 2111 252 57 — — — — — —
202620 A+ MLEVancouver Canadians — 5850 8210 6181 20 160263240503 80203 3110 212 30 — — — — — —
202620 A MLEDunedin Blue Jays — 279240 511013 235713 213 212315300615 87264 208 280 76 — — — — — —
202317 ROK MLEDSL Blue Jays — 9683 14310 8305 02 169281229510 60264 318 226 39 — — — — — —
202317 ROK RAWDSL Blue Jays — 9680 20510 11255 02 250375338713 88364 2611 334 39 — — — — — —
202418 ROK MLEDSL Blue Jays — 193158 26310 223410 112 165305196501 32205 1811 239 48 — — — — — —
202418 ROK RAWDSL Blue Jays — 193146 34510 342710 112 233411281691 48279 1418 334 48 — — — — — —
202519 ROK MLE2 teams — 252217 39810 25619 183 180291226517 46248 2410 242 50 — — — — — —
202519 ROK RAW2 teams — 252203 491120 39439 183 241386315702 74304 1715 332 50 — — — — — —
202620 A MLE2 teams — 337290 591223 297514 233 203306290596 86263 229 268 68 — — — — — —
202620 A RAW2 teams — 337277 641424 425514 233 231360339700 108274 1612 323 68 — — — — — —
202317 ROK MLEDSL Blue Jays — 9683 14310 8305 02 169281229510 60251 318 226 39 — — — — — —
202418 ROK MLEDSL Blue Jays — 193159 26310 223410 112 164305195500 31195 1811 239 48 — — — — — —
202519 ROK MLE2 teams — 252216 39810 25619 183 181291227518 46250 2410 242 50 — — — — — —
202620 A MLE2 teams — 337291 591223 297514 233 203306289595 86254 229 268 68 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202418 ROK MLEDSL Blue Jays — 193159 26310 223410 112 164305195500 31195 1811 239 48 — — — — — —
202519 ROK MLE2 teams — 252216 39810 25619 183 181291227518 46250 2410 242 50 — — — — — —
202620 A MLE2 teams — 337291 591223 297514 233 203306289595 86254 229 268 68 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202721 MLB MLETOR 0% 447392 741623 399313 142 190285266551 76238 219 258 61 -21 +2 +0 +5 +10 -0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202822 MLB MLETOR 34% 278243 481013 25578 91 198292290582 92242 219 270 69 -10 +1 +0 +3 +6 0.0
202923 MLB MLETOR 48% 364318 651325 337410 122 203297306603 103245 209 278 74 -11 +2 +0 +4 +8 0.2
203024 MLB MLETOR 53% 419367 761527 388511 142 208300319619 111248 209 284 78 -11 +2 +0 +4 +9 0.5
203125 MLB MLETOR 55% 450395 831728 419211 152 210302326628 116251 209 287 81 -10 +2 +0 +5 +10 0.7
203226 MLB MLETOR 56% 465409 861729 429511 152 212303331634 119252 209 289 82 -10 +2 +0 +5 +10 0.7
203327 MLB MLETOR 55% 469413 871729 429711 152 211302328631 117252 219 288 81 -11 +2 +0 +5 +10 0.7
203428 MLB MLETOR 55% 467411 861729 429711 132 210300324624 114251 219 285 79 -11 +2 -1 +5 +10 0.5
203529 MLB MLETOR 58% 458403 841728 419711 112 207298318616 111250 219 282 77 -13 +1 -1 +5 +10 0.2
203630 MLB MLETOR 60% 446393 801627 409610 81 204294310605 106249 229 278 74 -14 +1 -2 +5 +10 -0.0
202822 MLB CTXTOR 34% 9684 16301 9203 31 198293291583 92243 219 270 69 -4 +0 +0 +1 +2 -0.0
202923 MLB CTXTOR 48% 176153 32613 16365 61 204297308605 103246 209 279 74 -5 +1 +0 +2 +4 0.1
203024 MLB CTXTOR 53% 221193 40814 20456 71 208301320620 111249 209 284 78 -6 +1 +0 +2 +5 0.2
203125 MLB CTXTOR 55% 246216 46915 22506 81 211303327630 116252 209 288 81 -6 +1 +0 +3 +5 0.4
203226 MLB CTXTOR 56% 259228 491015 23536 81 213304332636 119253 209 290 82 -6 +1 +0 +3 +6 0.4
203327 MLB CTXTOR 55% 258227 481015 23536 81 212303329632 117253 219 289 81 -6 +1 +0 +3 +6 0.4
203428 MLB CTXTOR 55% 255224 47915 23536 71 210301325626 115252 219 286 79 -6 +1 -0 +3 +6 0.3
203529 MLB CTXTOR 58% 265233 491015 24566 61 208298319617 111251 219 283 77 -7 +1 -1 +3 +6 0.1
203630 MLB CTXTOR 60% 268236 481014 24576 51 205295311606 106250 219 278 74 -8 +1 -1 +3 +6 -0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 20441794 37575837 18442350 589 209300322622 113252 219 284 73 -54 +8 -2 +22 +44 1.9
/ 162G— A+C — 650570 12024312 5913516 183 211303326629 116254 219 284 73 -17 +3 -1 +7 +14 0.6
Career— MLE — 49044283 8681722370 4471034138 17127 203298303601 100249 219 276 73 -111 +17 -4 +43 +87 3.3
/ 162G— MLE — 650568 1152339 5913718 234 202298301599 99249 219 276 73 -18 +3 -1 +7 +14 0.5

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 ADunedin Blue Jays · 279 PAwOBA .327 → .280 (−48)K% 15.1% → 20.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.05%÷1.000×1.360——20.47%
BB% (unintentional) /PA11.83%÷1.000×0.690—×1.0308.41%
HBP% /PA4.66%—×0.780—×1.0303.74%
Singles /BIP20.86%÷1.000×0.920×1.009×1.03019.94%
Doubles /BIP6.42%÷1.000×0.830×1.009×1.0305.54%
Triples /BIP0.53%÷1.000×0.910×1.009×1.0300.51%
Home runs /BIP2.14%÷1.000×0.800—×1.0301.76%

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 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 ×1.009.

Result: wOBA .327 → .280; ISO .114 → .097; BABIP .284 → .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).

2026 A+Vancouver Canadians · 58 PAwOBA .258 → .212 (−46)K% 22.4% → 30.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.41%÷1.000×1.350——30.26%
BB% (unintentional) /PA13.79%÷1.000×0.710—×1.04210.20%
HBP% /PA1.72%—×0.810—×1.0421.46%
Singles /BIP14.29%÷1.000×0.910—×1.04213.55%
Doubles /BIP5.71%÷1.000×0.830—×1.0424.94%
Triples /BIP2.86%÷1.000×0.820—×1.0422.44%
Home runs /BIP0.00%÷1.000×0.830—×1.0420.00%

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 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average).

Result: wOBA .258 → .212; ISO .083 → .069; BABIP .222 → .203. 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 Blue Jays · 200 PAwOBA .342 → .252 (−90)K% 14.5% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.50%÷1.002×1.440——20.84%
BB% (unintentional) /PA17.50%÷1.001×0.620—×1.00810.92%
HBP% /PA4.50%—×0.720—×1.0083.26%
Singles /BIP23.02%÷1.038×0.820×1.018×1.00818.63%
Doubles /BIP5.56%÷0.956×0.720×1.018×1.0084.29%
Triples /BIP1.59%÷1.150×0.720×1.018×1.0081.02%
Home runs /BIP0.00%÷1.077×0.780—×1.0080.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 108, 2B 91, 3B 130, K 100, BB 100 — 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 ×1.018.

Result: wOBA .342 → .252; ISO .071 → .053; BABIP .299 → .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).

2025 ADunedin Blue Jays · 52 PAwOBA .267 → .205 (−63)K% 26.9% → 37.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.92%÷0.968×1.360——37.82%
BB% (unintentional) /PA7.69%÷1.015×0.690—×1.0455.46%
HBP% /PA0.00%—×0.780—×1.0450.00%
Singles /BIP20.59%÷1.006×0.920—×1.04519.67%
Doubles /BIP11.76%÷1.047×0.830—×1.0459.75%
Triples /BIP0.00%÷0.900×0.910—×1.0450.00%
Home runs /BIP0.00%÷1.284×0.800—×1.0450.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 101, 2B 109, 3B 80, K 94, BB 103 — 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).

Result: wOBA .267 → .205; ISO .083 → .060; BABIP .324 → .294. 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 Blue Jays · 193 PAwOBA .328 → .239 (−89)K% 14.0% → 17.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.99%÷0.973×1.220——17.55%
BB% (unintentional) /PA16.58%÷1.015×0.700—×1.00811.52%
HBP% /PA5.18%—×0.700—×1.0083.65%
Singles /BIP23.53%÷0.958×0.680×0.995×1.00816.74%
Doubles /BIP4.20%÷0.964×0.600×0.995×1.0082.62%
Triples /BIP0.84%÷0.900×0.600×0.995×1.0080.56%
Home runs /BIP0.00%÷0.892×0.470—×1.0080.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 92, 2B 93, 3B 80, K 95, BB 103 — 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 ×0.995.

Result: wOBA .328 → .239; ISO .048 → .033; BABIP .279 → .195. 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 Blue Jays · 96 PAwOBA .326 → .226 (−100)K% 26.0% → 31.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.04%÷1.014×1.220——31.34%
BB% (unintentional) /PA11.46%÷0.979×0.700—×1.0228.38%
HBP% /PA5.21%—×0.700—×1.0223.73%
Singles /BIP25.45%÷1.016×0.680×1.050×1.02218.29%
Doubles /BIP9.09%÷1.059×0.600×1.050×1.0225.53%
Triples /BIP1.82%÷0.900×0.600×1.050×1.0221.30%
Home runs /BIP0.00%÷1.083×0.470—×1.0220.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 103, 2B 112, 3B 80, K 103, BB 96 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .326 → .226; ISO .087 → .055; BABIP .364 → .251. 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).