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NC Lotto Intelligence

Carolina Pick 3 · Research Dashboard

Lottery Intelligence

Historical analysis, randomness testing, and walk-forward model evaluation for North Carolina Pick 3 — measured honestly against a uniform random baseline.

Next drawing: Daytime on Nov 2, 2026. Generate an analysis to seal a forecast before the cutoff.

Latest verified result

845
VerifiedEveningNov 1, 2026

Fireball 2 (separate add-on, not a 4th digit)

Next scheduled drawing

Daytime

Nov 2, 2026

Draw at Nov 2, 2026, 3:00 PM EST

Forecast cutoff Nov 2, 2026, 2:30 PM EST

Cutoff open

Data freshness

1 day(s) behind

Last import Nov 2, 2026, 12:50 AM EST

Up to dateNC Education Lottery

Baseline probability

1 in 1,000

Every three-digit combination in a fair drawing. This is the benchmark all models are measured against.

Uniform baseline

Generate analysis

Ranked selections for the next drawing

Fits the selected model on every prior drawing, ranks all 1,000 combinations, and seals the result before the cutoff.

Cutoff Nov 2, 2026, 2:30 PM EST · draw Nov 2, 2026, 3:00 PM EST

SealedBayesian positionalEvening drawingExactGenerated Oct 30, 2026, 4:17 PM EDT
  1. 1
    175

    0.114%

    baseline 0.1%

  2. 2
    875

    0.113%

    baseline 0.1%

  3. 3
    174

    0.113%

    baseline 0.1%

  4. 4
    874

    0.113%

    baseline 0.1%

  5. 5
    125

    0.112%

    baseline 0.1%

Baseline for each combination: 1 in 1,000

These selections are experimental research output. Every combination has a 1-in-1,000 chance in a fair drawing, and no model in this application has demonstrated a statistically significant advantage over random selection.

Model performance

Recent forecast performance

Genuine pre-draw forecasts only, evaluated after official results arrived.

Full analysis

Evaluated

7

pre-draw forecasts

Exact hits

0

Any-order hits

0

Net result

-$37.00

Small samples swing widely. With 5 tickets the uniform baseline hit rate is 0.5% exact and 3% any-order per drawing.

Evidence categories

What the numbers mean

Three distinct categories, never mixed.

  • Historical backtest

    0

    Simulated walk-forward forecasts produced while re-running past drawings. Used only for research comparison.

  • Genuine pre-draw forecasts

    7

    Forecasts sealed before their target drawing. These cannot be modified retroactively.

  • Post-draw evaluations

    7

    Saved pre-draw forecasts scored against the official result once it was published.

No model here has shown a statistically significant edge over random selection. Selections are experimental.