hits-v1: built on the right structure, measured honestly, REFUTED

Hits was diagnosed as a family mismatch: 84% of hits rows trade at 0.5, so
the stat rides on P(0), and a negative binomial has unbounded support and no
notion of opportunity at all. hits-v1 models it as the bounded conversion it
is -- N ~ the player's empirical at-bat distribution, hits|N ~ Binomial(N,q),
with the multiplier scaling q (conversion) and never N (opportunity).

STEP 0 confirmed the inputs before the model existed: 30/30 real ledger
players, 100% combined-input coverage. Every read goes through knownRate --
a row with no atBats is dropped, never counted as a 0-at-bat game.

It FIRES: 158/159 hits props (99.4%) on the live production snapshot, through
the real attachProjection path. Scoping by book IDENTITY rather than price
shape kept 94 out-of-promotion-band props on the board, 93 of them modelled --
59% that a price rule would have deleted.

And it LOST. Point-in-time replay (game log truncated strictly before each
row's game_date, real grade-time multiplier), hits-only, direction-aligned,
n=242: resolution champion 0.195 / ladder 0.048 / hits-v1 0.026. Paired
bootstrap on the same rows: hits-v1 - ladder = -0.022, CI95 excluding zero.
Not promoted.

The value is in what it eliminates. The family was wrong AND the mean was not
the constraint -- hits-v1 moved the line-0.5 mean 0.554 -> 0.581 toward a
0.598 base rate while resolution fell. What is left is per-prop
discrimination: the ladder's inputs, not its distribution.

The pre-registered fallback is recorded as WRONG rather than deleted. It said
hits might be genuinely low-resolution for anyone; the champion scores 0.276
on the identical 189 rows, so there is real signal and the ceiling claim was
the comfortable reading, not the honest one. Its own control refuted it, and
that control was already in hand when the branch was written.

hits-v1 stays wired as a challenger writing its own ledger columns so the
forward accrual can confirm the backtest. Champion, ladder, ranking,
calibration, reference ruler and the four accruing verdicts are byte-identical
-- the diff has zero deleted lines.

Tests 4,156 green (332 suites); web build exit 0.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01W1sivYNqY2TS5ftykmHBU9

src/services/ledgerService.js

@@ -335,6 +335,11 @@ function rowsFromSnapshot(sport, grades, oddsProps, nowIso) {
       // the components are underivable; never a fabricated 0.
       proj_tb_p_over: numOrNull(g.proj_tb_p_over),
       proj_tb_meta: g.proj_tb_meta || null,
+      // hits-v1 CHALLENGER — hits as a binomial over at-bats. Written alongside
+      // proj_p_over_line, never in place of it. NULL on non-hits props and when
+      // the at-bat inputs are underivable; never a fabricated 0.
+      proj_hits_p_over: numOrNull(g.proj_hits_p_over),
+      proj_hits_meta: g.proj_hits_meta || null,
       // Session 75 — the ENVIRONMENT that drove this projection. The FORECAST,
       // not the actual: this is what we knew when we projected, and it is what
       // the instrument measures. The actual lands in game_context and is never