Nicandro Aybar

3B Charleston RiverDogs
Age 22 S/R 6'1" / 170 lbs A HR -6%H +4% Svc 0.0 · Ctrl thru 2037
Overview
APROSPECTMiLBFA 2038
ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202419ROKTB205.271/.361/.35001344—.203/.262/.257
202520A/ROK/INTL2 orgs263.277/.341/.3664871—.220/.278/.253
202621A+/ATB413.257/.335/.30401151—.221/.276/.260
2027PROJMLE22MLBTB519.221/.277/.2691956-0.4
2028PROJ34% MLB23MLBTB125.230/.287/.2951264-0.2
2029PROJ46% MLB24MLBTB188.234/.292/.3142371-0.2
Next 3 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2037Service0.0First FA2038
2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Ext$1.0M+3
Skills · percentileMiLB Statcast 2026 A+
Z-Con%79
Whiff%77
K%73
wRC+58
wOBA56
BB%47
Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%
CompsBengie González (age 22) · Ramiro Pena (age 22) · Danny Mars (age 22)
2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA
wRC+†56
AVG/OBP/SLG.219 / .275 / .267
PA210
HR0
K%22
BB%7
ISO48
MLB%0%
Value2027 · WAR
BAT: -11.1 runs (wOBA-derived runs vs avg)-11BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +4.5 runs (Replacement-level credit)+5REPTotal WAR: -0.40-0.4WAR
0.00.51.00.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus
Tools · ContractCON 61 / POW 33
Toolsscout grade
CONTACT61
scouting grade only
POWER33
scouting grade only
EYE50
scouting grade only
SPEED54
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———
2033Pre-Arb$0.9M———
2034Extbeyond projection horizon · no WAR estimate
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
2037Extbeyond projection horizon · no WAR estimate
Totals $0.0M $-0.3M +$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 Tampa Bay — 192157 41631 33301 94 261393357749 96315 1617 346 49 — — — — — —
202318 ROKDSL Rays — 222188 52553 29331 116 277374404779 128316 1513 347 42 — — — — — —
202419 ROKFCL Rays — 205177 48830 24281 135 271361350712 79322 1412 322 44 — — — — — —
202520 ACharleston RiverDogs — 2019 2100 140 00 105150158308 53133 205 144 -33 — — — — — —
202520 ROKFCL Rays — 11499 32210 13111 61 323407364771 40360 1011 353 57 — — — — — —
202520 INTLPerth Heat — 129120 32404 8160 20 267312400713 133277 126 316 100 — — — — — —
202621 A+Bowling Green Hot Rods — 126111 35310 14250 11 315389360749 45407 2011 344 75 — — — — — —
202621 ACharleston RiverDogs — 287251 58820 28382 104 231311279590 48267 1310 272 40 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202217 ROK MLEDSL Tampa Bay — 192166 29420 24371 94 175283223506 48222 1912 241 49 — — — — — —
202318 ROK MLEDSL Rays — 222198 35332 20411 116 177256253508 76207 189 230 42 — — — — — —
202419 ROK MLEFCL Rays — 205187 38620 14411 135 203262257519 53258 207 233 44 — — — — — —
202520 A MLECharleston RiverDogs — 2019 2100 150 00 105150158308 53128 255 119 -33 — — — — — —
202520 ROK MLEFCL Rays — 114104 25110 8161 61 240301269570 29273 147 253 57 — — — — — —
202621 A+ MLEBowling Green Hot Rods — 126118 31210 8330 11 263310297606 34373 266 279 75 — — — — — —
202621 A MLECharleston RiverDogs — 287262 53720 19522 104 202261244506 42241 187 228 40 — — — — — —
202217 ROK MLEDSL Tampa Bay — 192166 29420 24371 94 175283223506 48223 1912 241 49 — — — — — —
202217 ROK RAWDSL Tampa Bay — 192157 41631 33301 94 261393357749 96315 1617 346 49 — — — — — —
202318 ROK MLEDSL Rays — 222198 35332 20411 116 177256253508 76209 189 230 42 — — — — — —
202318 ROK RAWDSL Rays — 222188 52553 29331 116 277374404779 128316 1513 347 42 — — — — — —
202419 ROK MLEFCL Rays — 205187 38620 14411 135 203262257519 53260 207 233 44 — — — — — —
202419 ROK RAWFCL Rays — 205177 48830 24281 135 271361350712 79322 1412 322 44 — — — — — —
202520 INTL MLE3 teams — 263243 51410 17421 81 210264235499 25251 166 233 44 — — — — — —
202520 INTL RAW3 teams — 263238 66714 22311 81 277341366707 88302 128 319 44 — — — — — —
202621 A MLE2 teams — 413379 84930 28842 115 222279261540 40281 207 244 51 — — — — — —
202621 A RAW2 teams — 413362 931130 42632 115 257335304639 47307 1510 294 51 — — — — — —
202217 ROK MLEDSL Tampa Bay — 192165 29420 24371 94 176283224507 48222 1912 241 49 — — — — — —
202318 ROK MLEDSL Rays — 222199 35332 20411 116 176256251507 75207 189 230 42 — — — — — —
202419 ROK MLEFCL Rays — 205188 38620 14411 135 202262255518 53258 207 233 44 — — — — — —
202520 INTL MLE3 teams — 263243 51410 17421 81 210264235499 25251 166 233 44 — — — — — —
202621 A MLE2 teams — 413380 84930 28842 115 221279261539 39281 207 244 51 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202419 ROK MLEFCL Rays — 205188 38620 14411 135 202262255518 53258 207 233 44 — — — — — —
202520 INTL MLE3 teams — 263243 51410 17421 81 210264235499 25251 166 233 44 — — — — — —
202621 A MLE2 teams — 413380 84930 28842 115 221279261539 39281 207 244 51 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202722 MLB MLETB 0% 519477 1061531 351162 93 221277269546 48288 227 251 56 -27 +1 +0 +2 +11 -0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202823 MLB MLETB 34% 364334 751122 25802 62 227284293577 66289 227 263 64 -16 +0 +0 +1 +8 -0.6
202924 MLB MLETB 46% 408374 851224 29892 73 231289312601 80290 227 272 71 -14 +0 +0 +1 +9 -0.4
203025 MLB MLETB 52% 455418 981436 32992 83 234293324617 90290 227 279 75 -14 +0 +0 +2 +10 -0.2
203126 MLB MLETB 54% 472432 1021537 341033 83 235295332628 97290 227 283 78 -13 +0 +0 +2 +10 -0.0
203227 MLB MLETB 54% 476435 1021537 351053 73 235295333629 99290 227 284 78 -12 +0 +0 +2 +10 -0.0
203328 MLB MLETB 54% 474434 1011537 351062 63 233293329622 96289 227 281 76 -13 +0 -1 +2 +10 -0.2
202823 MLB CTXTB 34% 125114 27411 9281 21 230287295582 65293 227 265 64 -5 +0 +0 +0 +3 -0.2
202924 MLB CTXTB 46% 188172 41612 13411 31 234292314606 79294 227 275 71 -7 +0 +0 +1 +4 -0.2
203025 MLB CTXTB 52% 235215 50713 17511 41 237296326621 89295 227 281 75 -7 +0 +0 +1 +5 -0.1
203126 MLB CTXTB 54% 256234 56824 19561 42 238298334631 96294 227 285 78 -7 +0 +0 +1 +6 -0.0
203227 MLB CTXTB 54% 258236 56824 19571 42 237298335632 97294 227 285 78 -7 +0 +0 +1 +6 -0.0
203328 MLB CTXTB 54% 257235 55814 19571 31 236296330626 94293 227 283 76 -7 +0 -0 +1 +6 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 13191206 28541818 962906 208 236296328624 92295 227 280 65 -40 +1 -0 +5 +29 -0.6
/ 162G— A+C — 650594 1402049 471433 104 236295328623 93294 227 280 65 -20 +0 -0 +2 +14 -0.3
Career— MLE — 41543793 8421142835 30787421 9839 222284294578 73278 217 264 65 -93 +2 -1 +10 +62 -2.0
/ 162G— MLE — 650594 1311845 481373 156 221283290572 69276 217 264 65 -21 +0 -0 +2 +14 -0.4

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 ACharleston RiverDogs · 287 PAwOBA .269 → .228 (−41)K% 13.2% → 18.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.24%÷1.000×1.360——18.01%
BB% (unintentional) /PA9.76%÷1.000×0.690——6.73%
HBP% /PA0.70%—×0.780——0.54%
Singles /BIP22.54%÷1.000×0.920×0.995—20.63%
Doubles /BIP3.76%÷1.000×0.830×0.995—3.10%
Triples /BIP0.94%÷1.000×0.910×0.995—0.85%
Home runs /BIP0.00%÷1.000×0.800——0.00%

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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .269 → .228; ISO .048 → .041; BABIP .267 → .241. 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+Bowling Green Hot Rods · 126 PAwOBA .335 → .279 (−56)K% 19.8% → 26.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.84%÷1.000×1.310——25.99%
BB% (unintentional) /PA11.11%÷1.000×0.600—×1.0126.75%
HBP% /PA0.00%—×0.770—×1.0120.00%
Singles /BIP36.05%÷1.000×0.870×1.050×1.01233.32%
Doubles /BIP3.49%÷1.000×0.780×1.050×1.0122.89%
Triples /BIP1.16%÷1.000×0.850×1.050×1.0121.05%
Home runs /BIP0.00%÷1.000×0.880—×1.0120.00%

Factors used: league row South Atlantic 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 ×1.050.

Result: wOBA .335 → .279; ISO .045 → .038; BABIP .407 → .373. 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 · 114 PAwOBA .348 → .253 (−94)K% 9.6% → 14.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.65%÷0.985×1.440——14.11%
BB% (unintentional) /PA11.40%÷0.991×0.620—×0.9857.03%
HBP% /PA0.88%—×0.720—×0.9850.62%
Singles /BIP32.95%÷1.018×0.820×0.971×0.98525.38%
Doubles /BIP2.27%÷1.026×0.720×0.971×0.9851.52%
Triples /BIP1.14%÷1.150×0.720×0.971×0.9850.68%
Home runs /BIP0.00%÷0.809×0.780—×0.9850.00%

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 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 ×0.971.

Result: wOBA .348 → .253; ISO .040 → .026; BABIP .360 → .273. 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 ACharleston RiverDogs · 20 PAwOBA .141 → .119 (−22)K% 20.0% → 27.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.00%÷1.006×1.360——27.05%
BB% (unintentional) /PA5.00%÷0.985×0.690—×1.0153.56%
HBP% /PA0.00%—×0.780—×1.0150.00%
Singles /BIP6.67%÷1.013×0.920—×1.0156.15%
Doubles /BIP6.67%÷0.850×0.830—×1.0156.61%
Triples /BIP0.00%÷1.121×0.910—×1.0150.00%
Home runs /BIP0.00%÷1.159×0.800—×1.0150.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 103, 2B 70, 3B 124, K 101, BB 97 — 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 .141 → .119; ISO .053 → .048; BABIP .133 → .128. 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 · 205 PAwOBA .313 → .233 (−79)K% 13.7% → 20.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.66%÷0.980×1.440——20.08%
BB% (unintentional) /PA11.22%÷1.024×0.620—×0.9956.76%
HBP% /PA0.49%—×0.720—×0.9950.35%
Singles /BIP24.83%÷1.024×0.820×1.028×0.99520.35%
Doubles /BIP5.37%÷0.941×0.720×1.028×0.9954.20%
Triples /BIP2.01%÷1.150×0.720×1.028×0.9951.29%
Home runs /BIP0.00%÷1.002×0.780—×0.9950.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 105, 2B 88, 3B 130, K 96, BB 105 — 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 ×1.028.

Result: wOBA .313 → .233; ISO .079 → .057; BABIP .322 → .258. 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 Rays · 222 PAwOBA .343 → .230 (−113)K% 14.9% → 18.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.86%÷0.987×1.220——18.38%
BB% (unintentional) /PA13.06%÷0.984×0.700—×0.9959.25%
HBP% /PA0.45%—×0.700—×0.9950.31%
Singles /BIP25.16%÷1.005×0.680×1.007×0.99517.06%
Doubles /BIP3.23%÷0.993×0.600×1.007×0.9951.95%
Triples /BIP3.23%÷1.035×0.600×1.007×0.9951.87%
Home runs /BIP1.94%÷0.938×0.470—×0.9950.97%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 101, 2B 99, 3B 107, K 97, 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 ×1.007.

Result: wOBA .343 → .230; ISO .128 → .073; BABIP .316 → .207. 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 Tampa Bay · 192 PAwOBA .340 → .241 (−99)K% 15.6% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.62%÷0.976×1.220——19.52%
BB% (unintentional) /PA17.19%÷0.985×0.700—×1.00812.31%
HBP% /PA0.52%—×0.700—×1.0080.37%
Singles /BIP24.41%÷0.981×0.680×1.033×1.00817.62%
Doubles /BIP4.72%÷0.973×0.600×1.033×1.0083.03%
Triples /BIP2.36%÷0.919×0.600×1.033×1.0081.61%
Home runs /BIP0.79%÷1.273×0.470—×1.0080.29%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 155, 1B 96, 2B 95, 3B 84, K 95, BB 97 — 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 ×1.033.

Result: wOBA .340 → .241; ISO .096 → .059; BABIP .315 → .222. 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 — .