Front-runner vs comeback: honestly not buildable here
halftime margin & second-half margin per team-game from running pbp scores; split each team's games by led/trailed at half
| team | n games | front runner 2h margin | comeback 2h margin |
|---|---|---|---|
| ATL | 2 | 1 | 8 |
| BKN | 2 | -8 | -12 |
| BOS | 2 | 7 | - |
| CHA | 2 | - | 7.5 |
| CHI | 2 | - | 0.5 |
| CLE | 3 | 8.333 | - |
How to read this figure
The league_mean_reversion block is the reliable stat (n = 52 team-games); every per-team row is flagged masked_below_floor and is illustrative only.
What it means
The intended analytic -- which teams protect leads versus storm back -- needs each team to appear in both halftime states enough times, and this thin 26-game slice simply doesn't have the sample, so the module refuses to print per-team labels rather than dress up 1-2 game noise as a tendency. What does survive is the pooled pattern: on average a team that led at half went on to a +1.346 second-half margin, its trailing counterpart -1.346, and the weak positive slope means halftime margins tended to hold or slightly compound in this sample.
Caveats and confounds
Thin corpus: most teams appear 1-2 times, so per-team splits are 0-2 games and are masked, never printed as stable. Descriptive stat only.