Armando Lao

C DSL Tigers 1
Age 20 R/R 5'10" / 170 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2038
Overview
ROKPROSPECTMiLBFA 2039
OGV OFP35OGV rank#1742ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202417ROKDSL Tigers 173.140/.319/.158031—.102/.264/.119
202518ROKDSL Tigers 140.303/.410/.3030139—.200/.282/.200
202619ROKDSL Tigers 153.205/.340/.205009—.130/.245/.130
2027PROJMLE20MLBDET163.201/.277/.25912550.0
2028PROJ34% MLB21MLBDET30.203/.279/.2690060-0.0
2029PROJ50% MLB22MLBDET88.207/.283/.2811165-0.0
Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2038Service0.0First FA2039
2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4
Skills · percentileMiLB Statcast 2026 Rk
Chase%46
K%44
BB%35
Whiff%18
wOBA13
Z-Con%12
Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%
2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 35 proj PA
wRC+†55
AVG/OBP/SLG.200 / .274 / .256
PA35
HR0
K%29
BB%7
ISO57
MLB%0%
Value2027 · WAR
BAT: -1.9 runs (wOBA-derived runs vs avg)-2BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +0.8 runs (Replacement-level credit)+1REPTotal WAR: +0.00+0.0WAR
0.00.51.00.20.30.30.30.20.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$7M ctrl surplus
Tools · Contract
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+0.3$0.8M+$0.3M
2034Pre-Arb$1.0M+0.3$0.7M+$0.2M
2035Pre-Arb$1.0M+0.2$0.4M+$0.0M
2036Arb-1$0.6M———
2037Extbeyond projection horizon · no WAR estimate
2038Extbeyond projection horizon · no WAR estimate
Totals $3M $2M +$0.5M

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)
202417 ROKDSL Tigers 1 — 7357 8100 8237 31 140319158477 18235 3211 251 1 — — — — — —
202518 ROKDSL Tigers 1 — 4033 10000 571 11 303410303713 370 1812 332 39 — — — — — —
202619 ROKDSL Tigers 1 — 5344 9000 7122 00 205340205544 281 2313 274 9 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202417 ROK MLEDSL Tigers 1 — 7359 6100 6287 31 102264119383 17158 388 170 1 — — — — — —
202518 ROK MLEDSL Tigers 1 — 4035 7000 391 11 200282200482 240 228 226 39 — — — — — —
202619 ROK MLEDSL Tigers 1 — 5346 6000 5152 00 130245130376 188 289 182 9 — — — — — —
202417 ROK MLEDSL Tigers 1 — 7359 6100 6287 31 102264119383 17194 388 170 1 — — — — — —
202417 ROK RAWDSL Tigers 1 — 7357 8100 8237 31 140319158477 18235 3211 251 1 — — — — — —
202518 ROK MLEDSL Tigers 1 — 4035 7000 391 11 200282200482 259 228 226 39 — — — — — —
202518 ROK RAWDSL Tigers 1 — 4033 10000 571 11 303410303713 370 1812 332 39 — — — — — —
202619 ROK MLEDSL Tigers 1 — 5346 6000 5152 00 130245130376 194 289 182 9 — — — — — —
202619 ROK RAWDSL Tigers 1 — 5344 9000 7122 00 205340205544 281 2313 274 9 — — — — — —
202417 ROK MLEDSL Tigers 1 — 7360 6100 6287 31 100264117381 17158 388 170 1 — — — — — —
202518 ROK MLEDSL Tigers 1 — 4036 7000 391 11 194282194476 240 228 226 39 — — — — — —
202619 ROK MLEDSL Tigers 1 — 5346 6000 5152 00 130245130376 188 289 182 9 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202417 ROK MLEDSL Tigers 1 — 7360 6100 6287 31 100264117381 17158 388 170 1 — — — — — —
202518 ROK MLEDSL Tigers 1 — 4036 7000 391 11 194282194476 240 228 226 39 — — — — — —
202619 ROK MLEDSL Tigers 1 — 5346 6000 5152 00 130245130376 188 289 182 9 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202720 MLB MLEDET 0% 163146 30411 12484 21 201277259535 57288 297 249 55 -9 +0 +0 +3 +4 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202821 MLB MLEDET 34% 9081 17211 7262 10 206282274555 68289 298 257 60 -4 +0 +0 +2 +2 -0.1
202922 MLB MLEDET 50% 176157 33412 13504 21 210286287573 77290 287 264 65 -7 +0 +0 +3 +4 -0.0
203023 MLB MLEDET 58% 272244 53724 20766 41 213289299588 85291 287 270 69 -10 +0 +0 +5 +6 0.1
203124 MLB MLEDET 61% 355318 68925 27987 51 217292309601 92292 288 275 72 -12 +1 +0 +6 +8 0.3
203225 MLB MLEDET 63% 401359 791127 311108 52 219294317611 98293 278 279 75 -12 +0 +0 +7 +9 0.4
203326 MLB MLEDET 64% 430386 841227 331188 52 219294319614 100292 278 280 75 -13 +0 +0 +8 +9 0.5
203427 MLB MLEDET 65% 440395 851227 341218 52 218293317610 99292 288 278 74 -13 +0 +0 +8 +10 0.4
203528 MLB MLEDET 65% 443398 861227 341238 41 216291312603 96291 288 275 73 -14 +0 -1 +8 +10 0.3
203629 MLB MLEDET 65% 436392 831127 331228 21 214288305594 92289 288 272 70 -16 +0 -1 +8 +9 0.0
202821 MLB CTXDET 34% 3027 5100 291 00 203279269548 66285 307 254 60 -1 +0 +0 +1 +1 -0.0
202922 MLB CTXDET 50% 8879 16201 7252 10 207283281564 75286 288 260 65 -4 +0 +0 +2 +2 -0.0
203023 MLB CTXDET 58% 157141 30412 12443 21 210286293579 83287 288 266 69 -6 +0 +0 +3 +3 0.0
203124 MLB CTXDET 61% 216194 41613 16604 31 213289302591 89288 287 271 72 -7 +0 +0 +4 +5 0.2
203225 MLB CTXDET 63% 252226 48714 19695 31 215291310601 95288 278 275 75 -8 +0 +0 +4 +5 0.3
203326 MLB CTXDET 64% 274246 53715 21755 31 216291313604 97288 278 276 75 -8 +0 +0 +5 +6 0.3
203427 MLB CTXDET 65% 286256 56825 22796 31 214290310600 95287 288 274 74 -9 +0 +0 +5 +6 0.3
203528 MLB CTXDET 65% 288259 54814 22805 21 213288305593 93286 288 272 73 -9 +0 -0 +5 +6 0.2
203629 MLB CTXDET 65% 283255 53714 21795 11 210285299584 89285 287 268 70 -10 -0 -1 +5 +6 -0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 18741683 35650828 14252036 187 212287301588 89287 288 271 69 -62 +1 -1 +33 +41 1.2
/ 162G— A+C — 650584 12417310 4918012 62 212286303589 91288 288 271 69 -21 +0 -0 +12 +14 0.4
Career— MLE — 32442901 613821647 24990670 3713 211289299589 88288 288 270 69 -103 +2 -2 +55 +67 1.9
/ 162G— MLE — 650581 1221639 5018214 73 210288294583 84288 288 270 69 -22 +0 -0 +12 +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 DSLDSL Tigers 1 · 53 PAwOBA .268 → .182 (−86)K% 22.6% → 27.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.64%÷1.000×1.220——27.62%
BB% (unintentional) /PA13.21%÷1.000×0.700—×0.9859.11%
HBP% /PA3.77%—×0.700—×0.9852.60%
Singles /BIP28.12%÷1.000×0.680—×0.98518.84%
Doubles /BIP0.00%÷1.000×0.600—×0.9850.00%
Triples /BIP0.00%÷1.000×0.600—×0.9850.00%
Home runs /BIP0.00%÷1.000×0.470—×0.9850.00%

Factors used: level-wide DSL 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 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .268 → .182; ISO .000 → .000; BABIP .281 → .188. 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 DSLDSL Tigers 1 · 40 PAwOBA .333 → .226 (−107)K% 17.5% → 21.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.50%÷0.987×1.220——21.64%
BB% (unintentional) /PA12.50%÷1.026×0.700—×0.9958.49%
HBP% /PA2.50%—×0.700—×0.9951.74%
Singles /BIP38.46%÷1.045×0.680—×0.99524.90%
Doubles /BIP0.00%÷0.999×0.600—×0.9950.00%
Triples /BIP0.00%÷1.102×0.600—×0.9950.00%
Home runs /BIP0.00%÷3.212×0.470—×0.9950.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 542, 1B 109, 2B 100, 3B 120, K 97, BB 105 — 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).

Result: wOBA .333 → .226; ISO .000 → .000; BABIP .370 → .240. 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 Tigers 1 · 73 PAwOBA .246 → .170 (−76)K% 31.5% → 38.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.51%÷1.002×1.220——38.38%
BB% (unintentional) /PA10.96%÷1.009×0.700—×1.0087.66%
HBP% /PA9.59%—×0.700—×1.0086.76%
Singles /BIP20.59%÷1.014×0.680—×1.00813.91%
Doubles /BIP2.94%÷0.958×0.600—×1.0081.86%
Triples /BIP0.00%÷1.150×0.600—×1.0080.00%
Home runs /BIP0.00%÷1.105×0.470—×1.0080.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 103, 2B 92, 3B 130, K 100, 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).

Result: wOBA .246 → .170; ISO .018 → .011; BABIP .235 → .158. 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).