Time zones
Does eastward travel on short rest help explain game outcomes? The pre-registered test found no improvement in held-out predictions.
Keep in mind The tested travel-direction terms did not improve predictions. That does not establish that the biological effect is zero or validate the model's retained directional multipliers.
On this page
The question tested
The fatigue model already carries time-zone travel, and the weight-fitting work recorded in ADR 0006 measured it as a main effect across every game and found no added predictive value. This test asks a narrower question: a long eastward shift arriving on short rest, where the body clock may have less time to adjust before tip-off.
The protocol specified four candidate terms before the analysis ran, including one primary term for evaluating the hypothesis.
How travel direction was recorded
Direction was not recoverable from the model’s features before this. The stored zone count is an absolute value and the jet-lag term multiplies direction by a re-entrainment fraction, so “east” and “west” had to be added as a signed field first. It is reported and never scored: no term reads it, and no fatigue score anywhere on this site changed because it exists.
Raw travel-direction comparisons
Before controlling for team strength, a visitor with an inferred clock shift of 3 hours or more west loses 61.96% of the time; one with that shift east loses 54.41%, a 7.6-point swing around a 58.39% baseline.
visitor's trip games home win % all games in the era 28,876 58.39 east ≥ 3h 1,643 54.41 east ≥ 3h, short rest 457 53.61 west ≥ 3h 1,635 61.96 west ≥ 3h, short rest 428 66.59 no long shift either way 25,598 58.41
Before reading that as jet lag, notice that it points the wrong way. Circadian disruption is supposed to punish eastward travel hardest, and here the eastward visitors do better than everyone else while the westward ones do worse. This is a reason to examine which teams make each kind of trip before attributing the difference to jet lag.
Differences in team strength and geography
A 3-hour westward trip is, almost by definition, an Eastern-conference team visiting the Pacific coast. A 3-hour eastward trip is the reverse. The two cells are not two treatments of a comparable population. They are different sets of teams, and the home sides differ in quality accordingly.
strength edge to the HOME side, by the visitor's trip (positive = the home team was the better side) east ≥ 3h −0.0281 home win 54.41% west ≥ 3h +0.0218 home win 61.96% no long shift −0.0021 home win 58.41%
The strength edge flips sign with the direction of travel, and the win rate follows it. Team strength is therefore a confound in the raw 7.6-point swing. The held-out test below asks whether direction adds predictive information after those differences are accounted for.
Denver and Utah are in Mountain time, about two hours from Eastern, so a 3-hour threshold excludes them by construction. Overlap between these terms and the model’s visiting-altitude term is 0.0%.
Testing on seasons excluded from training
The test asks whether adding these terms improves predictions for held-out games, season by season, using the same walk-forward protocol ADR 0006 used.
held-out log loss (lower is better) strength only 0.62381 + the four fatigue terms 0.62116 +0.00265 + east/west × short rest 0.62119 −0.00003
Adding all four candidates changes held-out log loss by −0.00003, a small deterioration. The sign-clamped fit pinned d_east3_short at zero in 16 of 16 folds, because the unconstrained estimate pointed toward an eastward flight on short rest being an advantage.
Overlap with existing schedule factors
The westward short-rest term, d_west3_short, has a mean weight of 0.0993 in 16 of 16 folds, with a coefficient of variation of 0.41. By the stability standard ADR 0006 set, that is a stable term.
It is worth −0.00002 when added to the baseline on its own. The reason is in the overlap:
d_west3_short 428 games
86.4% are ALSO back-to-backs
0.0% are also visiting altitudeMost of these games are already covered by the back-to-back term. A stable coefficient does not establish an independent contribution. The single-term comparison measures what the candidate adds beyond the existing baseline, as required by ADR 0006.
What this means for the current model
This test did not change any constant in fatigue.ts. It also did not validate the existing directional multipliers.
shipped today: eastward multiplier 1.25
westward multiplier 0.85
this test found: no added predictive value from directionThe model treats an eastward shift as 1.47× as costly as a westward one. This measurement is not evidence that asymmetry is right. The test found no added predictive value from the directional terms. The ratified constants remain in the model, but this analysis does not verify them.
The question and evaluation rule were written down before the analysis ran. The result is published even though the tested terms did not improve predictions.
Full limitations
- —Direction remains tied to geography. The analysis controls for team strength but does not match otherwise identical trips: a 3-hour eastward trip usually involves a Western team.
- —It cannot see rest and direction as anything but a schedule fact. Nothing here observes a flight, a departure time, a hotel, or a minute of anyone's sleep. "Short rest" is a gap between dates on a calendar.
- —It cannot rule out smaller effects. The test found no predictive improvement across 16 held-out seasons; that does not establish that the biological effect is zero.
- —It cannot speak to the playoffs. The protocol is regular-season walk-forward, and a postseason series has travel patterns and rest gaps this population does not contain.
- —It cannot test the joint effect of altitude and these long shifts. The 3-hour threshold excludes Denver and Utah, and overlap with the altitude term is 0.0%.
- —Testing additional ideas on the same corpus increases the risk of selecting a chance result. New questions need a declared evaluation protocol.