Jose Guadalupe Chavez

Pos2B
B/TS/R
Born1985-01-02
Age (2027)42
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202237INTLTomateros de …197.229/.332/.3061487—
202338INTLTomateros de …62.200/.298/.2801056—
202439INTLSultanes de M…117.158/.248/.2672144—
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)
200520 ROKBurlington Indians — 5551 7200 3130 00 137185176362 39179 245 167 -33 — — — — — —
200621 ALake County Captains — 4741 8100 680 11 195298220517 24242 1713 251 22 — — — — — —
200621 ROKBurlington Indians — 136120 28502 13190 32 233308325633 92255 1410 284 34 — — — — — —
200722 AAARojos del Aguila de Veracruz — 139116 29302 20221 54 250365328693 78293 1614 320 79 — — — — — —
200823 AAAOlmecas de Tabasco — 392344 86941 36653 113 250326308635 58306 179 287 68 — — — — — —
200924 AAAOlmecas de Tabasco — 436358 1031314 49555 34 288381363744 75327 1311 324 93 — — — — — —
201025 AAARojos del Aguila de Veracruz — 448373 10218011 526810 168 273377410787 137307 1512 348 84 — — — — — —
201025 INTLCaneros de los Mochis — 161137 27502 16281 22 197286277563 80231 1710 252 57 — — — — — —
201126 AAARojos del Aguila de Veracruz — 440374 1033216 54700 199 275367414781 139321 1612 343 98 — — — — — —
201126 INTLCaneros de los Mochis — 9985 19400 11190 40 224312271583 47284 1911 267 67 — — — — — —
201227 AAARojos del Aguila de Veracruz — 441381 11722110 43756 148 307386449835 142357 1710 365 95 — — — — — —
201227 INTLMayos de Navojoa — 189155 36813 31421 51 232364355718 123300 2216 329 109 — — — — — —
201328 AAARojos del Aguila de Veracruz — 403359 981417 34722 62 273339376715 103323 188 318 69 — — — — — —
201328 INTLMayos de Navojoa — 223185 50512 31360 24 270375341716 70322 1614 322 104 — — — — — —
201429 AAARojos del Aguila de Veracruz — 380326 9513011 41603 103 291376433808 141324 1611 354 84 — — — — — —
201429 INTLMayos de Navojoa — 272244 781305 24321 42 320383434817 115349 129 364 132 — — — — — —
201530 AAAToros de Tijuana — 397325 811659 61622 41 249371412783 163281 1615 346 74 — — — — — —
201530 INTLMayos de Navojoa — 236202 52513 32451 32 257362337698 79316 1914 323 105 — — — — — —
201631 AAAToros de Tijuana — 362301 962624 53421 76 319423458881 140359 1215 388 111 — — — — — —
201631 INTLTomateros de Culiacan — 140116 28602 22150 11 241362345707 103263 1116 324 105 — — — — — —
201732 AAAToros de Tijuana — 376305 941703 64485 63 308436393829 85357 1317 381 99 — — — — — —
201732 INTLTomateros de Culiacan — 4440 11200 3100 01 275326325651 50367 237 291 83 — — — — — —
201833 INTLTomateros de Culiacan — 11895 21400 17172 11 221351263614 42266 1414 287 80 — — — — — —
201934 AAAPiratas de Campeche — 234189 501300 40270 53 265393333726 69303 1217 334 68 — — — — — —
201934 INTLMexico — 220185 531121 29260 56 286383384767 97325 1213 341 117 — — — — — —
202035 INTLMexico — 188168 551002 18222 74 327399423822 95368 1210 372 138 — — — — — —
202136 INTLTomateros de Culiacan — 176148 43701 23252 06 291393358751 68344 1413 342 118 — — — — — —
202237 INTLTomateros de Culiacan — 197170 39811 24392 42 229332306638 76292 2012 297 87 — — — — — —
202338 INTLTomateros de Culiacan — 6250 10101 6161 00 200298280578 80273 2610 250 56 — — — — — —
202439 INTLSultanes de Monterrey — 117101 16502 9233 10 158248267515 109182 208 233 44 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200520 ROK MLEBurlington Indians — 5552 5100 2180 00 96130115245 19149 334 120 -33 — — — — — —
200621 A MLELake County Captains — 4743 7100 4110 11 163234186420 23223 239 200 22 — — — — — —
200621 ROK MLEBurlington Indians — 136125 24402 8270 32 192241272513 80210 206 218 34 — — — — — —
200722 AAA MLERojos del Aguila de Veracruz — 139122 30302 14261 54 246328320648 74296 1910 285 79 — — — — — —
200823 AAA MLEOlmecas de Tabasco — 392355 89841 25783 113 251305304610 54309 206 268 68 — — — — — —
200924 AAA MLEOlmecas de Tabasco — 436372 1091313 35665 34 293362358719 65318 158 306 93 — — — — — —
201025 AAA MLERojos del Aguila de Veracruz — 448389 971507 367810 168 249329342671 93282 178 293 84 — — — — — —
201126 AAA MLERojos del Aguila de Veracruz — 440391 1053114 37830 199 269332384715 115318 198 313 98 — — — — — —
201227 AAA MLERojos del Aguila de Veracruz — 441398 1101717 26906 148 276330377707 101327 206 309 95 — — — — — —
201328 AAA MLERojos del Aguila de Veracruz — 403370 911216 23832 62 246294332626 86290 216 270 69 — — — — — —
201429 AAA MLERojos del Aguila de Veracruz — 380342 881208 25733 103 257314363676 105289 197 293 84 — — — — — —
201530 AAA MLEToros de Tijuana — 397346 751455 40762 41 217302329631 113253 1910 277 74 — — — — — —
201631 AAA MLEToros de Tijuana — 362323 952522 31471 76 294358402760 108329 139 332 111 — — — — — —
201732 AAA MLEToros de Tijuana — 376328 901502 41585 63 274364338702 64321 1511 315 99 — — — — — —
201934 AAA MLEPiratas de Campeche — 234206 471100 23300 53 228306282587 53256 1310 269 68 — — — — — —
200520 ROK MLEBurlington Indians — 5552 5100 2180 00 96130115245 19143 334 120 -33 — — — — — —
200520 ROK RAWBurlington Indians — 5551 7200 3130 00 137185176362 39179 245 167 -33 — — — — — —
200621 ROK MLE2 teams — 183168 31502 12380 43 185239250489 65221 217 213 31 — — — — — —
200621 ROK RAW2 teams — 183161 36602 19270 43 224306298604 75252 1510 276 31 — — — — — —
200722 AAA MLERojos del Aguila de Veracruz — 139122 30302 14261 54 246328320648 74298 1910 285 79 — — — — — —
200722 AAA RAWRojos del Aguila de Veracruz — 139116 29302 20221 54 250365328693 78293 1614 320 79 — — — — — —
200823 AAA MLEOlmecas de Tabasco — 392355 89841 25783 113 251305304610 54319 206 268 68 — — — — — —
200823 AAA RAWOlmecas de Tabasco — 392344 86941 36653 113 250326308635 58306 179 287 68 — — — — — —
200924 AAA MLEOlmecas de Tabasco — 436372 1091313 35665 34 293362358719 65345 158 306 93 — — — — — —
200924 AAA RAWOlmecas de Tabasco — 436358 1031314 49555 34 288381363744 75327 1311 324 93 — — — — — —
201025 AAA MLE2 teams — 609529 1322109 4910611 1810 250326340666 91295 178 293 84 — — — — — —
201025 AAA RAW2 teams — 609510 12923013 689611 1810 253353375728 122287 1611 322 84 — — — — — —
201126 AAA MLE2 teams — 539478 1303915 461010 239 272336389725 117332 199 313 98 — — — — — —
201126 AAA RAW2 teams — 539459 1223616 65890 239 266357388745 122314 1712 329 98 — — — — — —
201227 AAA MLE2 teams — 630573 15724110 371287 199 274326372697 98335 206 309 95 — — — — — —
201227 AAA RAW2 teams — 630536 15330213 741177 199 285379422801 136341 1912 354 95 — — — — — —
201328 AAA MLE2 teams — 626573 1401819 361282 86 244291326618 82298 206 270 69 — — — — — —
201328 AAA RAW2 teams — 626544 1481929 651082 86 272352364716 92323 1710 319 69 — — — — — —
201429 AAA MLE2 teams — 652591 15020014 441254 145 254310359669 105297 197 293 84 — — — — — —
201429 AAA RAW2 teams — 652570 17326016 65924 145 304379433812 130335 1410 358 84 — — — — — —
201530 AAA MLE2 teams — 633557 1202279 631223 73 215299329627 113259 1910 277 74 — — — — — —
201530 AAA RAW2 teams — 633527 13321612 931073 73 252368383751 131294 1715 338 74 — — — — — —
201631 AAA MLE2 teams — 502448 1313433 44661 87 292357402759 109337 139 332 111 — — — — — —
201631 AAA RAW2 teams — 502417 1243226 75571 87 297406427833 129332 1115 370 111 — — — — — —
201732 AAA MLE2 teams — 420367 1001603 45645 64 272360341700 68322 1511 315 99 — — — — — —
201732 AAA RAW2 teams — 420345 1051903 67585 64 304424386810 81358 1416 372 99 — — — — — —
201833 INTL MLETomateros de Culiacan — 11895 21400 17172 11 221351263614 42266 1414 — — — — — — — —
201833 INTL RAWTomateros de Culiacan — 11895 21400 17172 11 221351263614 42266 1414 287 80 — — — — — —
201934 AAA MLE2 teams — 454398 912100 45590 109 229307281588 53265 1310 269 68 — — — — — —
201934 AAA RAW2 teams — 454374 1032421 69530 109 275388358747 83314 1215 337 68 — — — — — —
202035 INTL MLEMexico — 188168 551002 18222 74 327399423822 95368 1210 — — — — — — — —
202035 INTL RAWMexico — 188168 551002 18222 74 327399423822 95368 1210 372 138 — — — — — —
202136 INTL MLETomateros de Culiacan — 176148 43701 23252 06 291393358751 68344 1413 — — — — — — — —
202136 INTL RAWTomateros de Culiacan — 176148 43701 23252 06 291393358751 68344 1413 342 118 — — — — — —
202237 INTL MLETomateros de Culiacan — 197170 39811 24392 42 229332306638 76292 2012 — — — — — — — —
202237 INTL RAWTomateros de Culiacan — 197170 39811 24392 42 229332306638 76292 2012 297 87 — — — — — —
202338 INTL MLETomateros de Culiacan — 6250 10101 6161 00 200298280578 80273 2610 — — — — — — — —
202338 INTL RAWTomateros de Culiacan — 6250 10101 6161 00 200298280578 80273 2610 250 56 — — — — — —
202439 INTL MLESultanes de Monterrey — 117101 16502 9233 10 158248267515 109182 208 — — — — — — — —
202439 INTL RAWSultanes de Monterrey — 117101 16502 9233 10 158248267515 109182 208 233 44 — — — — — —
200520 ROK MLEBurlington Indians — 5553 5100 2180 00 94130113243 19149 334 120 -33 — — — — — —
200621 ROK MLE2 teams — 183169 31502 12380 43 183239249487 65213 217 213 31 — — — — — —
200722 AAA MLERojos del Aguila de Veracruz — 139123 30302 14261 54 244328317646 73296 1910 285 79 — — — — — —
200823 AAA MLEOlmecas de Tabasco — 392361 89841 25783 113 247305299605 53309 206 268 68 — — — — — —
200924 AAA MLEOlmecas de Tabasco — 436393 1091313 35665 34 277362338700 61318 158 306 93 — — — — — —
201025 AAA MLE2 teams — 609544 1322109 4910611 1810 243326331657 88282 178 293 84 — — — — — —
201126 AAA MLE2 teams — 539488 1303915 461010 239 266336381717 115318 199 313 98 — — — — — —
201227 AAA MLE2 teams — 630581 15724110 371287 199 270326367692 96327 206 309 95 — — — — — —
201328 AAA MLE2 teams — 626583 1401819 361282 86 240291321612 81290 206 270 69 — — — — — —
201429 AAA MLE2 teams — 652599 15020014 441254 145 250310354664 104289 197 293 84 — — — — — —
201530 AAA MLE2 teams — 633562 1202279 631223 73 214299326624 112253 1910 277 74 — — — — — —
201631 AAA MLE2 teams — 502452 1313433 44661 87 290357398755 108329 139 332 111 — — — — — —
201732 AAA MLE2 teams — 420367 1001603 45645 64 272360341700 68321 1511 315 99 — — — — — —
201934 AAA MLE2 teams — 454406 912100 45590 109 224307276583 52256 1310 269 68 — — — — — —
▸ Career Totals
Career— MLE — 71286315 15992801977 594126754 14989 253323340663 87304 188 256 59 -347 -6 +0 +25 +154 -17.6
/ 162G— MLE — 650576 1472627 541165 148 255324344668 89306 188 256 59 -32 -0 +0 +2 +14 -1.6

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 AAAPiratas de Campeche · 234 PAwOBA .326 → .269 (−57)K% 11.5% → 12.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.54%÷1.071×1.200——12.93%
BB% (unintentional) /PA15.81%÷1.033×0.690—×0.9409.93%
HBP% /PA0.00%—×0.940—×0.9400.00%
Singles /BIP22.84%÷0.954×0.930×0.950×0.94019.88%
Doubles /BIP8.02%÷0.971×0.830×0.950×0.9406.13%
Triples /BIP0.00%÷0.987×0.920×0.950×0.9400.00%
Home runs /BIP0.00%÷1.196×0.700—×0.9400.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 139, 1B 91, 2B 94, 3B 97, K 114, BB 107 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .326 → .269; ISO .069 → .059; BABIP .303 → .256. 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).

2017 AAAToros de Tijuana · 376 PAwOBA .374 → .315 (−59)K% 12.8% → 15.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.77%÷0.999×1.200——15.34%
BB% (unintentional) /PA17.02%÷1.033×0.690—×0.95210.82%
HBP% /PA1.33%—×0.940—×0.9521.19%
Singles /BIP28.79%÷0.988×0.930×1.030×0.95226.56%
Doubles /BIP6.61%÷1.007×0.830×1.030×0.9525.34%
Triples /BIP0.00%÷1.150×0.920×1.030×0.9520.00%
Home runs /BIP1.17%÷0.892×0.700—×0.9520.87%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 98, 2B 101, 3B 130, K 100, BB 107 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .374 → .315; ISO .085 → .071; BABIP .357 → .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).

2016 AAAToros de Tijuana · 362 PAwOBA .377 → .332 (−45)K% 11.6% → 13.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.60%÷1.062×1.200——13.11%
BB% (unintentional) /PA13.81%÷1.055×0.690—×0.9628.69%
HBP% /PA0.28%—×0.940—×0.9620.25%
Singles /BIP24.71%÷0.967×0.930×1.017×0.96223.25%
Doubles /BIP10.04%÷0.926×0.830×1.017×0.9628.80%
Triples /BIP0.77%÷0.941×0.920×1.017×0.9620.74%
Home runs /BIP1.54%÷1.278×0.700—×0.9620.81%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 93, 2B 85, 3B 88, K 112, BB 111 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .377 → .332; ISO .140 → .119; BABIP .359 → .329. 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 AAAToros de Tijuana · 397 PAwOBA .339 → .277 (−62)K% 15.6% → 19.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.62%÷0.978×1.200——19.16%
BB% (unintentional) /PA15.11%÷1.013×0.690—×0.97210.01%
HBP% /PA0.50%—×0.940—×0.9720.46%
Singles /BIP19.39%÷0.982×0.930×1.030×0.97218.38%
Doubles /BIP6.08%÷1.026×0.830×1.030×0.9724.93%
Triples /BIP1.90%÷1.046×0.920×1.030×0.9721.67%
Home runs /BIP3.42%÷1.208×0.700—×0.9721.93%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 142, 1B 96, 2B 105, 3B 109, K 96, BB 103 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .339 → .277; ISO .163 → .121; BABIP .281 → .253. 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 AAARojos del Aguila de Veracruz · 380 PAwOBA .347 → .293 (−54)K% 15.8% → 19.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.79%÷0.988×1.200——19.17%
BB% (unintentional) /PA10.26%÷1.041×0.690—×0.9826.68%
HBP% /PA0.79%—×0.940—×0.9820.73%
Singles /BIP26.69%÷1.005×0.930×1.000×0.98224.27%
Doubles /BIP4.89%÷0.945×0.830×1.000×0.9824.22%
Triples /BIP0.00%÷1.000×0.920×1.000×0.9820.00%
Home runs /BIP4.14%÷1.006×0.700—×0.9822.83%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 101, 2B 89, 3B 100, K 98, BB 108 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .347 → .293; ISO .141 → .109; BABIP .324 → .289. 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 AAARojos del Aguila de Veracruz · 403 PAwOBA .311 → .270 (−42)K% 17.9% → 20.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.87%÷1.044×1.200——20.53%
BB% (unintentional) /PA8.44%÷1.011×0.690—×0.9925.71%
HBP% /PA0.50%—×0.940—×0.9920.46%
Singles /BIP26.48%÷0.995×0.930×0.996×0.99224.44%
Doubles /BIP4.88%÷1.015×0.830×0.996×0.9923.94%
Triples /BIP0.35%÷1.150×0.920×0.996×0.9920.28%
Home runs /BIP2.44%÷0.867×0.700—×0.9921.95%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 99, 2B 103, 3B 130, K 109, BB 102 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .311 → .270; ISO .103 → .085; BABIP .323 → .290. 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).

2012 AAARojos del Aguila de Veracruz · 441 PAwOBA .358 → .309 (−48)K% 17.0% → 20.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.01%÷1.004×1.200——20.34%
BB% (unintentional) /PA9.30%÷1.087×0.690—×1.0035.92%
HBP% /PA1.36%—×0.940—×1.0031.28%
Singles /BIP27.45%÷0.959×0.930×1.001×1.00326.74%
Doubles /BIP7.19%÷1.125×0.830×1.001×1.0035.33%
Triples /BIP0.33%÷1.027×0.920×1.001×1.0030.29%
Home runs /BIP3.27%÷1.014×0.700—×1.0032.26%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 125, 3B 105, K 101, BB 117 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .358 → .309; ISO .142 → .107; BABIP .357 → .327. 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).

2011 AAARojos del Aguila de Veracruz · 440 PAwOBA .337 → .313 (−24)K% 15.9% → 18.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.91%÷1.017×1.200——18.77%
BB% (unintentional) /PA12.27%÷1.016×0.690—×1.0188.48%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP21.05%÷0.963×0.930×1.041×1.01821.56%
Doubles /BIP10.53%÷0.941×0.830×1.041×1.0189.84%
Triples /BIP0.33%÷0.900×0.920×1.041×1.0180.36%
Home runs /BIP1.97%÷1.007×0.700—×1.0181.40%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 93, 2B 88, 3B 80, K 103, BB 103 — 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 ×1.041.

Result: wOBA .337 → .313; ISO .139 → .126; BABIP .321 → .318. 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 — .