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...
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Suggested Mega Millions® pick for next draw
Loading numbers...
🎰 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 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.
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%
📅
Next Mega Millions Draw
Calculating...
Countdown
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Draw Location
Atlanta, GA · 11:00 PM ET
Metric Breakdown & Live R-Values
Analyzer auto-runs on load — results will appear momentarily.
Similar Historical Draws
Top 5 weather-matched
Draws with similar weather conditions will appear here momentarily.
Pairs, Triplets & Number Patterns
Hot · Overdue · Co-occurrence
Number patterns will populate when the analyzer runs.
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.
|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.
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 ratio —
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.
P(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:
Step 2 — Recency decay: Each draw weighted by
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.
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).
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
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.
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.
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.