Bets Β· learning Β·
dashboard
π Learning Dashboard β bird's-eye view
Every methodology, every factor, every scored outcome β what's working, what isn't, where we are in the validation timeline.
π― Phase 1 progress Β· BCE validation
Phase 1 target: 30 BCE bets. Decision points: at 10 (continue or abandon based on 2+ hits), at 30 (real edge if 12-20% hit rate). Each row of the weekend tracker Tier A column counts toward this when scored.
π Top-line stats
π§ͺ Methodology performance
| Method | Uses | Wins | Hit % | Paper P/L |
| No scored bets yet. Will populate as outcomes are entered on the portfolio tracker. |
π Factor accuracy
Each cited factor accumulates a hit/miss record across all scored predictions. Sorted by total citations. After 20-30 scored uses, real signal vs noise becomes visible.
π
Recent days
β Key questions being answered
Q1: Does
BCE hit at 10-15% in real samples?
Need 30+ bets to know.
Q2: Does v2 selectivity beat blind betting in live data? Cumulative tracking will tell.
Q3: Which sports / situations have real edge? Factor accuracy data answers this.
Q4: How does Sam's "actually placed" subset perform vs paper-only? Compare placed=true outcomes to full ledger.
πΊοΈ Current strategy + roadmap
Current: Strategy v3 β 3-Tier Portfolio with BCE (see /bets/strategy/).
Next strategy update: after 10 BCE bets (Phase 1 checkpoint). Estimated ~June 5, 2026 at 1-2 BCE-qualifying games per weekend.
Version log: /bets/strategy/versions/