Tyler Callihan

LF Indianapolis Indians
Age 27 L/R 5'11" / 205 lbs AAA HR -15%K -5% Svc 0.360 · Ctrl thru 2032
Overview
AAA40-MANROOKIEPre-ArbFA 2033
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202424AAA/AA/INTL2 orgs391.273/.356/.428112785—.237/.300/.353
202525AAACIN106.303/.410/.52846113—.245/.324/.415
202626AAAPIT378.226/.316/.361101551—.194/.259/.291
202626MLBPIT107.211/.286/.3893188-0.4
2027PROJ45% MLB27MLBPIT70.189/.260/.3031261-0.3
2028PROJ49% MLB28MLBPIT138.190/.261/.3033461-0.5
Last 3 seasons WAR -0.4  ·  Next 2 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2032Service0.360First FA2033
2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Ext$0.8M2030Ext$0.2M2031Ext$0.4M2032Ext$0.6M
Skills · percentileMiLB Statcast 2026 AAA
Speed84
BB%56
Z-Con%50
Whiff%48
Max EV46
Chase%41
Career WAR0.0 WAR median (P10 -0.3 / P90 0.9, comp-based) · star 0% · didn't stick 93%
CompsMark Contreras (age 27) · Ronnie Dawson (age 27) · Blake Tekotte (age 27)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†61
AVG/OBP/SLG.189 / .260 / .303
PA70
HR1
K%31
BB%9
BABIP262
ISO109
MLB%45%
Value2027 · WAR
BAT: -7.2 runs (wOBA-derived runs vs avg)-7BATRUN: +0.8 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.5 runs (Defensive runs vs avg)-1FLDPOS: -1.7 runs (Positional adjustment)-2POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: -0.50-0.5WAR
0.00.51.00.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus
Tools · Contract
ToolsStatcast %ile · 2025-2026
CONTACT
xAVG
100.175
POWER
Barrel%
366.4
Avg EV
1080.0
Bat Spd
5471.8
SPEED
Sprint
6328.0
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2026
Service   0.360 yrs.days
Team Control Through   2032
First FA Year   2033
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M———
2028Pre-Arb$0.8M———
2029Extbeyond projection horizon · no WAR estimate
2030Extbeyond projection horizon · no WAR estimate
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
Totals $0.0M $-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)
202121 ADaytona Tortugas — 9987 26602 8130 51 299351437787 138324 138 341 88 — — — — — —
202222 A+Dayton Dragons — 233211 491244 17613 62 232299384683 152306 267 303 41 — — — — — —
202222 ADaytona Tortugas — 128117 33703 10190 91 282339419757 137312 158 336 70 — — — — — —
202323 AAChattanooga Lookouts — 10187 271001 13200 41 310400460860 149388 2013 381 110 — — — — — —
202323 A+Dayton Dragons — 447399 942158 371047 254 236312373685 138300 238 306 47 — — — — — —
202424 AAALouisville Bats — 2014 5201 640 10 3575507141.264 357444 2030 532 181 — — — — — —
202424 AAChattanooga Lookouts — 282247 67918 27782 215 271348413761 142362 2810 335 69 — — — — — —
202424 INTLGlendale Desert Dogs — 8980 21322 9200 51 263337425762 162328 2210 339 116 — — — — — —
202525 AAALouisville Bats — 10689 27424 16290 61 303410528938 225411 2715 408 113 — — — — — —
202626 MLBPittsburgh Pirates — 10795 20423 9381 10 211286389675 179309 368 295 88 -2 +0 +0 -5 +2 -0.4
202626 AAAIndianapolis Indians — 378327 7410210 42951 156 226316361677 135286 2511 302 51 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 10795 20423 9381 10 211286389675 179309 368 295 86 -2 +0 +0 -5 +2 -0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202121 A MLEDaytona Tortugas — 9991 24502 6170 51 264309385694 121294 176 299 88 — — — — — —
202222 A+ MLEDayton Dragons — 233215 39833 13743 62 181238288526 107254 326 229 41 — — — — — —
202222 A MLEDaytona Tortugas — 128120 28503 7250 91 233276350626 117269 205 271 70 — — — — — —
202323 AA MLEChattanooga Lookouts — 10192 26901 8250 41 283340413753 130373 258 331 110 — — — — — —
202323 A+ MLEDayton Dragons — 447411 771546 251357 254 187246287533 100263 306 238 47 — — — — — —
202424 AAA MLELouisville Bats — 2016 5201 450 10 3124506251.075 312403 2520 436 181 — — — — — —
202424 AA MLEChattanooga Lookouts — 282255 59616 19952 215 231290333623 102325 347 270 69 — — — — — —
202525 AAA MLELouisville Bats — 10694 23323 11360 61 245324415739 170379 3410 335 113 — — — — — —
202626 MLB MLEPittsburgh Pirates — 10795 20423 9381 10 211286389675 179309 368 298 88 -2 +0 +0 -5 +2 -0.4
202626 AAA MLEIndianapolis Indians — 378340 66827 291141 156 194259291551 97258 308 244 51 — — — — — —
202121 A MLEDaytona Tortugas — 9991 24502 6170 51 264309385694 121297 176 299 88 — — — — — —
202121 A RAWDaytona Tortugas — 9987 26602 8130 51 299351437787 138324 138 341 88 — — — — — —
202222 A+ MLE2 teams — 361335 671336 20993 153 200251310562 110263 276 244 51 — — — — — —
202222 A+ RAW2 teams — 361328 821947 27803 153 250313396709 146309 227 314 51 — — — — — —
202323 A+ MLE2 teams — 548502 1042547 341617 295 207267315582 108290 296 255 59 — — — — — —
202323 A+ RAW2 teams — 548486 1213159 501247 295 249328389717 140316 239 320 59 — — — — — —
202424 AA MLE3 teams — 391353 831119 301292 276 235299348647 113341 338 281 76 — — — — — —
202424 AA RAW3 teams — 391341 9314311 421022 276 273356428784 155357 2611 346 76 — — — — — —
202525 AAA MLELouisville Bats — 10694 23323 11360 61 245324415739 170364 3410 335 113 — — — — — —
202525 AAA RAWLouisville Bats — 10689 27424 16290 61 303410528938 225411 2715 408 113 — — — — — —
202626 AAA MLE2 teams — 485435 8612410 381522 166 198265313578 115275 318 256 59 — — — — — —
202626 AAA RAW2 teams — 485422 9414413 511332 166 223309367677 145290 2711 300 59 — — — — — —
202121 A MLEDaytona Tortugas — 9993 24502 6170 51 258309376686 118294 176 299 88 — — — — — —
202222 A+ MLE2 teams — 361335 671336 20993 153 200251310562 110259 276 244 51 — — — — — —
202323 A+ MLE2 teams — 548502 1042547 341617 295 207267315582 108283 296 255 59 — — — — — —
202424 AA MLE3 teams — 391356 831119 301292 276 233299346644 112330 338 281 76 — — — — — —
202525 AAA MLELouisville Bats — 10694 23323 11360 61 245324415739 170379 3410 335 113 — — — — — —
202626 AAA MLE2 teams — 485442 8612410 381522 166 195265308573 113269 318 256 59 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202424 AA MLE3 teams — 391356 831119 301292 276 233299346644 112330 338 281 76 — — — — — —
202525 AAA MLELouisville Bats — 10694 23323 11360 61 245324415739 170379 3410 335 113 — — — — — —
202626 AAA MLE2 teams — 485442 8612410 381522 166 195265308573 113269 318 256 59 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202727 MLB MLEPIT 45% 371335 63938 311182 123 190261309570 119262 328 258 61 -17 +1 -1 -4 +8 -0.5
▸ 2027 — real world (MLB)
202727 MLB CTXPIT 45% 7064 12211 6220 21 189260303563 115262 319 255 61 -3 +0 -0 -1 +2 -0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202828 MLB MLEPIT 49% 279253 48726 23881 82 191262309571 118262 328 258 61 -13 +1 -2 -3 +6 -1.1
202828 MLB CTXPIT 49% 138125 24413 11441 41 190261303564 114262 328 256 61 -6 +0 -1 -1 +3 -0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 245220 44836 20822 51 200273345618 145284 338 273 65 -8 +1 -1 -7 +5 -1.0
/ 162G— A+C — 650584 11721816 532185 133 200273346618 146285 348 273 65 -22 +2 -2 -18 +14 -2.6
Career— MLE — 24242203 461801746 17573116 11125 209272324596 114289 307 264 65 -22 +2 -2 -10 +12 -2.1
/ 162G— MLE — 650591 12321512 471964 307 208271321593 113288 307 264 65 -26 +2 -3 -12 +14 -2.5

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 AAAIndianapolis Indians · 378 PAwOBA .294 → .244 (−51)K% 25.1% → 30.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.13%÷1.000×1.200——30.16%
BB% (unintentional) /PA10.85%÷1.000×0.690—×1.0187.62%
HBP% /PA0.26%—×0.940—×1.0180.25%
Singles /BIP22.41%÷1.000×0.930×0.981×1.01820.81%
Doubles /BIP4.31%÷1.000×0.830×0.981×1.0183.57%
Triples /BIP0.86%÷1.000×0.970×0.981×1.0180.83%
Home runs /BIP4.31%÷1.000×0.700—×1.0183.07%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .294 → .244; ISO .135 → .104; BABIP .286 → .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).

2025 AAALouisville Bats · 106 PAwOBA .397 → .335 (−62)K% 27.4% → 33.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.36%÷0.975×1.200——33.67%
BB% (unintentional) /PA15.09%÷1.002×0.690—×1.03310.74%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP28.33%÷1.049×0.930×1.012×1.03326.26%
Doubles /BIP6.67%÷0.992×0.830×1.012×1.0335.83%
Triples /BIP3.33%÷0.900×0.970×1.012×1.0333.76%
Home runs /BIP6.67%÷0.901×0.700—×1.0335.35%

Factors used: league row International League. Park (home-season share, regressed): HR 80, 1B 110, 2B 98, 3B 80, K 95, BB 100 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .397 → .335; ISO .225 → .195; BABIP .411 → .379. 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 AAChattanooga Lookouts · 282 PAwOBA .329 → .270 (−58)K% 27.7% → 33.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.66%÷1.005×1.220——33.58%
BB% (unintentional) /PA9.57%÷0.970×0.680—×1.0126.79%
HBP% /PA0.71%—×0.840—×1.0120.60%
Singles /BIP28.99%÷0.964×0.920×0.977×1.01227.37%
Doubles /BIP5.33%÷1.236×0.910×0.977×1.0123.88%
Triples /BIP0.59%÷1.001×0.880×0.977×1.0120.51%
Home runs /BIP4.73%÷1.089×0.800—×1.0123.52%

Factors used: league row SL. Park (home-season share, regressed): HR 118, 1B 93, 2B 147, 3B 100, K 101, BB 94 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .329 → .270; ISO .142 → .104; BABIP .362 → .325. 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 AAALouisville Bats · 20 PAwOBA .520 → .436 (−84)K% 20.0% → 24.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.00%÷0.999×1.200——24.03%
BB% (unintentional) /PA30.00%÷1.032×0.690—×1.04821.01%
HBP% /PA0.00%—×0.940—×1.0480.00%
Singles /BIP20.00%÷0.995×0.930—×1.04819.60%
Doubles /BIP20.00%÷0.964×0.830—×1.04818.05%
Triples /BIP0.00%÷1.150×0.970—×1.0480.00%
Home runs /BIP10.00%÷1.111×0.700—×1.0486.61%

Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 99, 2B 93, 3B 130, K 100, BB 106 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .520 → .436; ISO .357 → .297; BABIP .444 → .403. 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 A+Dayton Dragons · 447 PAwOBA .298 → .238 (−60)K% 23.3% → 30.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.27%÷0.975×1.270——30.30%
BB% (unintentional) /PA8.05%÷1.020×0.710—×0.9985.59%
HBP% /PA1.57%—×0.790—×0.9981.23%
Singles /BIP20.34%÷0.979×0.920×0.978×0.99818.66%
Doubles /BIP7.12%÷1.027×0.810×0.978×0.9985.48%
Triples /BIP1.69%÷0.916×0.850×0.978×0.9981.54%
Home runs /BIP2.71%÷0.951×0.800—×0.9982.28%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 90, 1B 96, 2B 105, 3B 83, K 95, BB 104 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .298 → .238; ISO .138 → .108; BABIP .300 → .263. 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 AAChattanooga Lookouts · 101 PAwOBA .375 → .331 (−44)K% 19.8% → 25.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.80%÷0.961×1.220——25.15%
BB% (unintentional) /PA12.87%÷1.069×0.680—×1.0278.41%
HBP% /PA0.00%—×0.840—×1.0270.00%
Singles /BIP23.88%÷0.986×0.920×1.018×1.02723.30%
Doubles /BIP14.93%÷1.004×0.910×1.018×1.02714.15%
Triples /BIP0.00%÷1.150×0.880×1.018×1.0270.00%
Home runs /BIP1.49%÷1.017×0.800—×1.0271.21%

Factors used: league row SL. Park (home-season share, regressed): HR 103, 1B 97, 2B 101, 3B 130, K 92, BB 114 — 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 ×1.018.

Result: wOBA .375 → .331; ISO .149 → .137; BABIP .388 → .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).

2022 A+Dayton Dragons · 233 PAwOBA .296 → .229 (−67)K% 26.2% → 31.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.18%÷1.047×1.270——31.75%
BB% (unintentional) /PA7.30%÷0.958×0.710—×1.0125.47%
HBP% /PA1.29%—×0.790—×1.0121.03%
Singles /BIP19.33%÷1.002×0.920×0.979×1.01217.59%
Doubles /BIP8.00%÷1.217×0.810×0.979×1.0125.28%
Triples /BIP2.67%÷1.028×0.850×0.979×1.0122.19%
Home runs /BIP2.67%÷1.058×0.800—×1.0122.04%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 112, 1B 100, 2B 143, 3B 106, K 109, BB 92 — 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 ×0.979.

Result: wOBA .296 → .229; ISO .152 → .108; BABIP .306 → .254. 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 ADaytona Tortugas · 128 PAwOBA .330 → .271 (−59)K% 14.8% → 19.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.84%÷1.021×1.360——19.78%
BB% (unintentional) /PA7.81%÷0.986×0.690——5.47%
HBP% /PA0.00%—×0.780——0.00%
Singles /BIP23.47%÷1.016×0.920×0.979—20.81%
Doubles /BIP7.14%÷1.028×0.830×0.979—5.65%
Triples /BIP0.00%÷1.016×0.910×0.979—0.00%
Home runs /BIP3.06%÷0.883×0.800——2.77%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 77, 1B 103, 2B 106, 3B 103, K 104, BB 97 — 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 ×0.979.

Result: wOBA .330 → .271; ISO .137 → .114; BABIP .312 → .269. 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 — .