Calten Daal

PosSS
B/TR/R
Born1993-08-01
Age (2027)33
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201622AAMIA127.310/.365/.3791592—.303/.341/.370
201824A+CIN15.333/.333/.4000059—.267/.267/.333
201925AACIN291.301/.323/.3480557—.262/.278/.301
Contract
No contract data on file.

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)
201319 ROKBillings Mustangs — 7670 14100 4190 20 200240214454 14275 255 208 -12 — — — — — —
201420 ADayton Dragons — 370345 1021031 19601 133 296334351685 55356 165 306 73 — — — — — —
201521 A+Daytona Tortugas — 415381 103600 21613 215 270314286600 16318 155 271 57 — — — — — —
201622 AAPensacola Blue Wahoos — 127116 36311 9261 51 310365379744 69393 207 336 92 — — — — — —
201824 A+Daytona Tortugas — 1515 5100 030 00 333333400733 67417 200 327 59 — — — — — —
201925 AAChattanooga Lookouts — 291279 84730 9520 53 301323348671 47368 183 299 57 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201319 ROK MLEBillings Mustangs — 7673 11100 2270 20 151173164338 14233 363 150 -12 — — — — — —
201420 A MLEDayton Dragons — 370351 98931 13751 133 279307330637 51346 204 276 73 — — — — — —
201521 A+ MLEDaytona Tortugas — 415386 100600 16883 215 259294275568 16321 214 253 57 — — — — — —
201622 AA MLEPensacola Blue Wahoos — 127119 36311 6301 51 303341370711 67389 245 304 92 — — — — — —
201824 A+ MLEDaytona Tortugas — 1515 4100 040 00 267267333600 67370 270 255 59 — — — — — —
201925 AA MLEChattanooga Lookouts — 291282 74530 6650 53 262278301579 39337 222 253 57 — — — — — —
201319 ROK MLEBillings Mustangs — 7673 11100 2270 20 151173164338 14239 363 150 -12 — — — — — —
201319 ROK RAWBillings Mustangs — 7670 14100 4190 20 200240214454 14275 255 208 -12 — — — — — —
201420 A MLEDayton Dragons — 370351 98931 13751 133 279307330637 51353 204 276 73 — — — — — —
201420 A RAWDayton Dragons — 370345 1021031 19601 133 296334351685 55356 165 306 73 — — — — — —
201521 A+ MLEDaytona Tortugas — 415386 100600 16883 215 259294275568 16331 214 253 57 — — — — — —
201521 A+ RAWDaytona Tortugas — 415381 103600 21613 215 270314286600 16318 155 271 57 — — — — — —
201622 AA MLEPensacola Blue Wahoos — 127119 36311 6301 51 303341370711 67398 245 304 92 — — — — — —
201622 AA RAWPensacola Blue Wahoos — 127116 36311 9261 51 310365379744 69393 207 336 92 — — — — — —
201824 A+ MLEDaytona Tortugas — 1515 4100 040 00 267267333600 67364 270 255 59 — — — — — —
201824 A+ RAWDaytona Tortugas — 1515 5100 030 00 333333400733 67417 200 327 59 — — — — — —
201925 AA MLEChattanooga Lookouts — 291282 74530 6650 53 262278301579 39339 222 253 57 — — — — — —
201925 AA RAWChattanooga Lookouts — 291279 84730 9520 53 301323348671 47368 183 299 57 — — — — — —
201319 ROK MLEBillings Mustangs — 7674 11100 2270 20 149173162335 14233 363 150 -12 — — — — — —
201420 A MLEDayton Dragons — 370353 98931 13751 133 278307329635 51346 204 276 73 — — — — — —
201521 A+ MLEDaytona Tortugas — 415393 100600 16883 215 254294270564 15321 214 253 57 — — — — — —
201622 AA MLEPensacola Blue Wahoos — 127119 36311 6301 51 303341370711 67389 245 304 92 — — — — — —
201824 A+ MLEDaytona Tortugas — 1515 4100 040 00 267267333600 67370 270 255 59 — — — — — —
201925 AA MLEChattanooga Lookouts — 291283 74530 6650 53 261278300578 39337 222 253 57 — — — — — —
▸ Career Totals
Career— MLE — 12941226 3232572 432895 4612 263291300591 37341 223 259 61 -60 +4 +0 +14 +28 -1.4
/ 162G— MLE — 650616 1631341 221453 236 265294304598 39342 223 259 61 -30 +2 +0 +7 +14 -0.7

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.

2019 AAChattanooga Lookouts · 291 PAwOBA .292 → .253 (−39)K% 17.9% → 22.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.87%÷0.967×1.220——22.55%
BB% (unintentional) /PA3.09%÷0.949×0.680—×0.9882.19%
HBP% /PA0.00%—×0.840—×0.9880.00%
Singles /BIP32.60%÷0.974×0.920×0.993×0.98830.19%
Doubles /BIP3.08%÷1.160×0.910×0.993×0.9882.37%
Triples /BIP1.32%÷0.900×0.880×0.993×0.9881.27%
Home runs /BIP0.00%÷0.979×0.800—×0.9880.00%

Factors used: league row SL. Park (home-season share, regressed): HR 96, 1B 95, 2B 132, 3B 80, K 93, BB 90 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .292 → .253; ISO .047 → .039; BABIP .368 → .337. 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).

2018 A+Daytona Tortugas · 15 PAwOBA .318 → .255 (−62)K% 20.0% → 27.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.00%÷1.035×1.420——27.44%
BB% (unintentional) /PA0.00%÷0.994×0.750—×0.9780.00%
HBP% /PA0.00%—×0.930—×0.9780.00%
Singles /BIP33.33%÷1.006×0.920—×0.97829.82%
Doubles /BIP8.33%÷1.088×0.960—×0.9787.19%
Triples /BIP0.00%÷1.047×0.810—×0.9780.00%
Home runs /BIP0.00%÷1.058×0.880—×0.9780.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 101, 2B 118, 3B 109, K 107, BB 99 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .318 → .255; ISO .067 → .052; BABIP .417 → .370. 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).

2016 AAPensacola Blue Wahoos · 127 PAwOBA .327 → .304 (−23)K% 20.5% → 24.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.47%÷1.042×1.220——23.96%
BB% (unintentional) /PA7.09%÷1.075×0.680—×1.0274.60%
HBP% /PA0.79%—×0.840—×1.0270.68%
Singles /BIP34.44%÷0.993×0.920×1.050×1.02734.42%
Doubles /BIP3.33%÷1.081×0.910×1.050×1.0273.03%
Triples /BIP1.11%÷0.981×0.880×1.050×1.0271.07%
Home runs /BIP1.11%÷0.924×0.800—×1.0270.99%

Factors used: league row SL. Park (home-season share, regressed): HR 85, 1B 99, 2B 116, 3B 96, K 108, BB 115 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .327 → .304; ISO .069 → .063; BABIP .393 → .389. 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).

2015 A+Daytona Tortugas · 415 PAwOBA .265 → .253 (−13)K% 14.7% → 21.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.70%÷0.986×1.420——21.16%
BB% (unintentional) /PA4.82%÷0.934×0.750—×1.0123.91%
HBP% /PA0.72%—×0.930—×1.0120.68%
Singles /BIP30.31%÷0.969×0.920×1.050×1.01230.57%
Doubles /BIP1.88%÷0.988×0.960×1.050×1.0121.94%
Triples /BIP0.00%÷1.150×0.810×1.050×1.0120.00%
Home runs /BIP0.00%÷1.047×0.880—×1.0120.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 109, 1B 94, 2B 98, 3B 130, K 97, BB 87 — 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 .265 → .253; ISO .016 → .016; BABIP .318 → .321. 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).

2014 ADayton Dragons · 370 PAwOBA .297 → .276 (−21)K% 16.2% → 20.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.22%÷1.082×1.360——20.38%
BB% (unintentional) /PA4.86%÷0.990×0.690—×1.0153.44%
HBP% /PA0.27%—×0.780—×1.0150.21%
Singles /BIP30.88%÷1.007×0.920×1.050×1.01530.07%
Doubles /BIP3.51%÷0.940×0.830×1.050×1.0153.30%
Triples /BIP1.05%÷0.900×0.910×1.050×1.0151.13%
Home runs /BIP0.35%÷1.000×0.800—×1.0150.28%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 101, 2B 88, 3B 80, K 116, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .297 → .276; ISO .055 → .052; BABIP .356 → .346. 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).

2013 ROKBillings Mustangs · 76 PAwOBA .203 → .150 (−53)K% 25.0% → 36.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷1.000×1.440——36.00%
BB% (unintentional) /PA5.26%÷1.000×0.610—×0.9953.19%
HBP% /PA0.00%—×0.720—×0.9950.00%
Singles /BIP25.49%÷1.000×0.820×1.050×0.99521.84%
Doubles /BIP1.96%÷1.000×0.720×1.050×0.9951.47%
Triples /BIP0.00%÷1.000×0.720×1.050×0.9950.00%
Home runs /BIP0.00%÷1.000×0.750—×0.9950.00%

Factors used: league row PIO. 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 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 ×1.050.

Result: wOBA .203 → .150; ISO .014 → .010; BABIP .275 → .233. 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).