Cleaned and geocoded permit filings across 3,140 US counties.
| event_ts | game_id | home_score | away_score | line_movement | volume_usd |
|---|---|---|---|---|---|
| 2026-04-12T19:00:00Z | GAME_1024 | 80 | 78 | -1.00 | 12,000 |
| 2026-04-13T20:07:00Z | GAME_1025 | 83 | 83 | -0.50 | 12,731 |
| 2026-04-14T21:14:00Z | GAME_1026 | 86 | 88 | 0.00 | 13,462 |
| 2026-04-15T22:21:00Z | GAME_1027 | 89 | 81 | 0.50 | 14,193 |
| 2026-04-16T19:28:00Z | GAME_1028 | 92 | 86 | 1.00 | 14,924 |
| 2026-04-17T20:35:00Z | GAME_1029 | 95 | 79 | -1.00 | 15,655 |
| 2026-04-18T21:42:00Z | GAME_1030 | 98 | 84 | -0.50 | 16,386 |
| 2026-04-19T22:49:00Z | GAME_1031 | 101 | 89 | 0.00 | 17,117 |
Cleaned and geocoded permit filings across 3,140 US counties. This release is delivered as GEOJSON with strong typing and a documented schema. All timestamps are ISO 8601 UTC. The dataset has been deduplicated, null-checked, and validated against the source of record before publication.
Ideal for training time-series models, backtesting strategies, building autonomous agents, or feeding retrieval pipelines that need clean, structured ground truth.
| Column | Type | Description |
|---|---|---|
| event_ts | timestamp | Event time in UTC, ISO 8601 |
| game_id | string | Unique game identifier |
| home_score | int32 | Home team score at event time |
| away_score | int32 | Away team score at event time |
| line_movement | float64 | Signed line movement vs open |
| volume_usd | float64 | USD wagered on the moment |
Clean, well-typed, exactly what was advertised. Dropped into our backtest pipeline same day.
Schema is consistent across the full window. Documentation could be slightly richer.
1-second score and line movement data for all NBA games played in April 2026.
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