Mega Millions Number Analyzer — Weather-Correlated Picks

🔵 Mega Millions® Analyzer
Draw-night weather at Atlanta, GA (11 PM ET) — model auto-runs on load & recalculates as forecast updates
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LLM Score & Suggested Pick Calculating...
Suggested Mega Millions® pick for next draw
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🎰 Draw Night · 11 PM ET
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Jackpot & Prizes
Jackpot-- Match 5$1M 4+MB$10K Match 4$500 3+MB$200
🎰 Hourly Forecast · Draw Night · Atlanta, GA (click an hour to re-run model with that weather)
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Weather & Algo Weights 11 PM · Atlanta, GA — draws
Temp
°F ±5
Humidity
% ±10
Pressure
inHg ±0.2
Wind
mph ±5
Direction
→ degrees
Dew Pt
°F ±5
Condition
categorical
Moon
illumination
R-Method ⓘ What's this?
All draws
All Algo Weights — drag to adjust each factor's influence
Toggle on/off · hover labels for R-value explanation · sliders are zero-sum (100%)
Weather Factors
Temp 30%
Hum 25%
Press 25%
Wind 20%
WDir 0%
Cond 0%
Moon 0%
Number Pattern Factors
Hot 10%
Cold 10%
Pairs 8%
Trips 2%
Sum 15%
💡 Hover any metric name to see its R-value method and meaning.
All R-values update live when you change the R-method or date range above.
■Temp ■Hum ■Press ■Wind ■WDir ■Cond ■Moon ■Hot ■Cold ■Pairs ■Trips Total: 100%
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Next Mega Millions Draw
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Draw Location
Atlanta, GA · 11:00 PM ET
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Metric Breakdown & Live R-Values
Analyzer auto-runs on load — results will appear momentarily.
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Similar Historical Draws Top 5 weather-matched
Draws with similar weather conditions will appear here momentarily.
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Pairs, Triplets & Number Patterns Hot · Overdue · Co-occurrence
Number patterns will populate when the analyzer runs.
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How the Math Works
What are R-values (Correlation Coefficients)?
An R-value measures the linear relationship between two variables on a scale from -1 to +1. A value of 0 means no relationship. In practice, lottery R-values are very small (0.01–0.05) because draws are fundamentally random.

|R| = absolute value — We use |R| to determine which weather variables have the strongest signal, then proportion slider weights accordingly.
Three Correlation Methods (Active)
Pearson r — Classic linear correlation. Best for detecting linear trends. Formula: r = cov(X,Y) / (σX · σY).

Spearman ρ (rho) — Rank-based. Robust to outliers and catches non-linear monotonic relationships.

Kendall τ (tau) — Counts concordant vs. discordant pairs. Most robust with small samples and heavy ties.
Other Ways to Measure the Weather→Picks Relationship
Lift ratioP(num|bin) / P(num). A lift of 1.5 means a number shows up 50% more than baseline inside that weather bin.
Chi-square (χ²) — Does the pick distribution differ across weather bins?
Mutual information — Catches any dependency (non-linear, threshold effects).
KL divergence — Ranks which weather bins are most "informative" about picks.
Bootstrap CIs — Tells you whether a measured lift is real signal or sampling noise.
How the V2 Engine Generates MM Numbers
Step 1 — Gaussian similarity kernels: Every draw gets a continuous similarity weight: w = exp(−((x_draw − x_target)/σ)²).
Step 2 — Recency decay: Each draw weighted by e^(−0.001×age).
Step 3 — Additive weather signal: Active dimensions plus 6 auto-dims (dew point, dew spread, comfort, cond×temp, month, DOW).
Step 4 — Bonus layers: Cold/overdue gap; hot streak (last 20); pairs (top 30); sum proximity (Gaussian ~175 for MM).
Step 5 — Softmax → seeded sampling → quality filter: 200 candidate combos scored on sum range, odd/even balance, spread, coverage. Best combo wins. Mega Ball chosen from 1–25.
Mega Millions vs. Powerball Differences
Pool: 5 white balls 1–70 + Mega Ball 1–25 (vs PB 1–69 + Powerball 1–26).

Draw nights: Tuesday & Friday at 11 PM ET from Atlanta, GA (vs PB Mon/Wed/Sat from Tallahassee, FL).

Weather station: KATL (Hartsfield–Jackson Atlanta Intl).

Historical mean sum: ~175 for MM vs ~160 for PB, reflecting the wider 1–70 pool.

Era filter: Post-October 2017 draws only (pool change).
Auto-Weight: How Slider Percentages are Calculated
When you click ⚡ Auto-Weight:
1. Takes all historical MM draws (filtered by your date range)
2. For each weather metric, computes the |R| correlation against the average of the 5 drawn numbers
3. Normalizes these |R| values to percentages summing to 100%
4. Sets each slider proportional to that metric's share of total correlation strength
Scalability: What Happens with 1,000+ Visitors?
All calculations run in YOUR browser — not on a server. Draw history + weather data loads from Supabase, then every correlation, decay, and number-pick computation runs locally in JavaScript on your device.

1,000 visitors = 1,000 independent calculations. The only shared load is Supabase reads, which handles millions of concurrent reads per second.
Important: Honest Caveats
Correlations are weak. All measured linear correlations between weather and picks are below |r| = 0.10.

The edge is statistical, not causal. No claim is made that temperature causes certain numbers to win.

Weather data is location-specific. Patterns are tuned to KATL (Atlanta). Using Atlanta-trained patterns under different conditions may not be meaningful.

Expected value is still negative. Even with any edge, base jackpot odds (1 in 302M) are so bad that a ticket's EV remains strongly negative. This is entertainment, not investment. Please play responsibly.