Research & Analysis
Weekly Lottery Intelligence Report
Week 44, 2026
This report consolidates structural monitoring across supported lotteries for the reporting period. Metrics are derived from rolling historical averages and variance windows. No predictive claims are made, and the analysis does not alter winning probabilities.
EuroMillions
Official Draw — 27 October 2026
Official Numbers
2130324248
+36
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-4 | Observed distribution alignment |
| High/Low | 1-4 | Range distribution relative to midpoint |
| Sum | 173 | Position within rolling variance band |
| Rolling Avg | 133.25 | 100-draw average reference |
| Std Dev | 32.140 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 2;6;13;26;42 | 1 |
| Lotterics Adaptive | 5;6;13;26;29 | 0 |
| Best Weekly Match Level | 1 |
Official Draw — 30 October 2026
Official Numbers
312141737
+312
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-2 | Observed distribution alignment |
| High/Low | 4-1 | Range distribution relative to midpoint |
| Sum | 83 | Position within rolling variance band |
| Rolling Avg | 129.83 | 100-draw average reference |
| Std Dev | 34.990 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 6;13;29;34;47 | 0 |
| Lotterics Adaptive | 6;8;27;34;36 | 0 |
| Best Weekly Match Level | 0 |
EuroMillions — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.42 | 4.84% |
| Lotterics Adaptive | 0.36 | 4.92% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Swiss Lotto
Official Draw — 28 October 2026
Official Numbers
212427324041
+6
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 1-5 | Range distribution relative to midpoint |
| Sum | 185 | Position within rolling variance band |
| Rolling Avg | 133.00 | 100-draw average reference |
| Std Dev | 27.720 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 2;4;12;16;26;32 | 1 |
| Lotterics Adaptive | 16;20;21;34;35;42 | 1 |
| Best Weekly Match Level | 1 |
Official Draw — 31 October 2026
Official Numbers
146142832
+1
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-5 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 85 | Position within rolling variance band |
| Rolling Avg | 131.00 | 100-draw average reference |
| Std Dev | 30.140 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 7;16;20;23;36;38 | 0 |
| Lotterics Adaptive | 4;12;16;19;38;42 | 1 |
| Best Weekly Match Level | 1 |
Swiss Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.77 | 18.46% |
| Lotterics Adaptive | 0.74 | 20.0% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
SuperEnalotto
Official Draw — 31 October 2026
Official Numbers
41820334678
+27
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-5 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 199 | Position within rolling variance band |
| Rolling Avg | 259.58 | 100-draw average reference |
| Std Dev | 66.860 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 9;19;27;58;71;87 | 0 |
| Lotterics Adaptive | 15;47;49;58;87;89 | 0 |
| Best Weekly Match Level | 0 |
SuperEnalotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.30 | 4.4% |
| Lotterics Adaptive | 0.37 | 1.1% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
German Lotto 6aus49
Official Draw — 28 October 2026
Official Numbers
182024263844
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 0-6 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 170 | Position within rolling variance band |
| Rolling Avg | 148.50 | 100-draw average reference |
| Std Dev | 28.440 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 3;21;26;28;31;44 | 2 |
| Lotterics Adaptive | 7;14;31;35;43;49 | 0 |
| Best Weekly Match Level | 2 |
German Lotto 6aus49 — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.53 | 12.5% |
| Lotterics Adaptive | 0.75 | 15.0% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Australian Lotto
Official Draw — 31 October 2026
Official Numbers
3423363940
+1826
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 145 | Position within rolling variance band |
| Rolling Avg | 140.67 | 100-draw average reference |
| Std Dev | 33.900 | Historical dispersion window |
| Consecutive Pairs | 2 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 5;7;14;29;34;35 | 0 |
| Lotterics Adaptive | 8;15;19;21;29;35 | 0 |
| Best Weekly Match Level | 0 |
Australian Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.73 | 18.18% |
| Lotterics Adaptive | 0.55 | 18.18% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Australia Powerball
Official Draw — 29 October 2026
Official Numbers
35714273134
+1
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 5-2 | Observed distribution alignment |
| High/Low | 4-3 | Range distribution relative to midpoint |
| Sum | 121 | Position within rolling variance band |
| Rolling Avg | 118.50 | 100-draw average reference |
| Std Dev | 27.250 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | — | 0 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 0 |
Powerball
Official Draw — 26 October 2026
Official Numbers
1826495054
+1
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-4 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 197 | Position within rolling variance band |
| Rolling Avg | 151.83 | 100-draw average reference |
| Std Dev | 37.930 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 53;56;60;63;64 | 0 |
| Lotterics Adaptive | 7;27;43;56;58 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 28 October 2026
Official Numbers
1113164760
+13
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-2 | Observed distribution alignment |
| High/Low | 3-2 | Range distribution relative to midpoint |
| Sum | 147 | Position within rolling variance band |
| Rolling Avg | 154.92 | 100-draw average reference |
| Std Dev | 35.850 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 41;43;53;64;67 | 0 |
| Lotterics Adaptive | 10;38;41;55;60 | 1 |
| Best Weekly Match Level | 1 |
Official Draw — 31 October 2026
Official Numbers
24185056
+20
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 0-5 | Observed distribution alignment |
| High/Low | 3-2 | Range distribution relative to midpoint |
| Sum | 130 | Position within rolling variance band |
| Rolling Avg | 148.75 | 100-draw average reference |
| Std Dev | 33.140 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 27;56;63;65;67 | 1 |
| Lotterics Adaptive | 6;27;43;64;65 | 0 |
| Best Weekly Match Level | 1 |
Powerball — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.40 | 5.56% |
| Lotterics Adaptive | 0.38 | 5.88% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Mega-Sena
Official Draw — 26 October 2026
Official Numbers
71014273655
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 149 | Position within rolling variance band |
| Rolling Avg | 161.75 | 100-draw average reference |
| Std Dev | 36.980 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 23;32;42;45;49;58 | 0 |
| Lotterics Adaptive | 3;12;32;34;45;46 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 27 October 2026
Official Numbers
63032384957
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 212 | Position within rolling variance band |
| Rolling Avg | 166.50 | 100-draw average reference |
| Std Dev | 39.390 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 3;29;31;32;46;58 | 1 |
| Lotterics Adaptive | 15;32;34;43;45;59 | 1 |
| Best Weekly Match Level | 1 |
Official Draw — 28 October 2026
Official Numbers
21418313540
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 140 | Position within rolling variance band |
| Rolling Avg | 160.17 | 100-draw average reference |
| Std Dev | 36.950 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 31;34;42;46;54;59 | 1 |
| Lotterics Adaptive | 12;16;31;42;45;59 | 1 |
| Best Weekly Match Level | 1 |
Official Draw — 29 October 2026
Official Numbers
5712293436
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 123 | Position within rolling variance band |
| Rolling Avg | 162.25 | 100-draw average reference |
| Std Dev | 33.970 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 21;32;40;42;46;54 | 0 |
| Lotterics Adaptive | 21;26;34;42;45;54 | 1 |
| Best Weekly Match Level | 1 |
Official Draw — 30 October 2026
Official Numbers
5916404159
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 170 | Position within rolling variance band |
| Rolling Avg | 159.08 | 100-draw average reference |
| Std Dev | 31.220 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | — | 0 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 1 November 2026
Official Numbers
131728293958
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 184 | Position within rolling variance band |
| Rolling Avg | 163.25 | 100-draw average reference |
| Std Dev | 30.930 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 42;45;46;50;53;58 | 1 |
| Lotterics Adaptive | 15;23;42;45;46;54 | 0 |
| Best Weekly Match Level | 1 |
Mega-Sena — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.42 | 8.97% |
| Lotterics Adaptive | 0.65 | 15.38% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
La Primitiva
Official Draw — 26 October 2026
Official Numbers
4933373949
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 5-1 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 171 | Position within rolling variance band |
| Rolling Avg | 157.25 | 100-draw average reference |
| Std Dev | 31.000 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 3;11;20;23;30;41 | 0 |
| Lotterics Adaptive | 1;22;32;40;42;45 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 29 October 2026
Official Numbers
21819283144
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 142 | Position within rolling variance band |
| Rolling Avg | 157.92 | 100-draw average reference |
| Std Dev | 30.580 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 3;11;16;23;28;33 | 1 |
| Lotterics Adaptive | 3;11;18;22;34;43 | 1 |
| Best Weekly Match Level | 1 |
Official Draw — 31 October 2026
Official Numbers
268172730
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 90 | Position within rolling variance band |
| Rolling Avg | 151.58 | 100-draw average reference |
| Std Dev | 35.690 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 23;25;30;32;38;46 | 1 |
| Lotterics Adaptive | 5;10;12;22;23;38 | 0 |
| Best Weekly Match Level | 1 |
La Primitiva — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.59 | 9.2% |
| Lotterics Adaptive | 0.67 | 14.94% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
UK Lotto
Official Draw — 28 October 2026
Official Numbers
2421263038
+51
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-5 | Observed distribution alignment |
| High/Low | 5-1 | Range distribution relative to midpoint |
| Sum | 121 | Position within rolling variance band |
| Rolling Avg | 206.50 | 100-draw average reference |
| Std Dev | 41.910 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 1;4;13;23;36;54 | 1 |
| Lotterics Adaptive | 9;23;36;42;51;58 | 0 |
| Best Weekly Match Level | 1 |
Official Draw — 31 October 2026
Official Numbers
1318253843
+45
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 128 | Position within rolling variance band |
| Rolling Avg | 201.08 | 100-draw average reference |
| Std Dev | 47.170 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 5;11;14;23;36;54 | 0 |
| Lotterics Adaptive | 9;27;36;40;56;58 | 0 |
| Best Weekly Match Level | 0 |
UK Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.67 | 10.0% |
| Lotterics Adaptive | 0.70 | 14.29% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
EuroDreams
Official Draw — 26 October 2026
Official Numbers
31921263538
+3
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 142 | Position within rolling variance band |
| Rolling Avg | 113.25 | 100-draw average reference |
| Std Dev | 23.970 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 5;8;11;24;28;32 | 0 |
| Lotterics Adaptive | 5;10;17;22;28;33 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 29 October 2026
Official Numbers
3811133440
+5
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 109 | Position within rolling variance band |
| Rolling Avg | 114.42 | 100-draw average reference |
| Std Dev | 23.390 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 5;9;17;27;33;37 | 0 |
| Lotterics Adaptive | 5;8;12;17;22;36 | 1 |
| Best Weekly Match Level | 1 |
EuroDreams — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.95 | 26.23% |
| Lotterics Adaptive | 0.92 | 24.59% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Mega Millions
Official Draw — 27 October 2026
Official Numbers
1419214567
+3
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-1 | Observed distribution alignment |
| High/Low | 3-2 | Range distribution relative to midpoint |
| Sum | 166 | Position within rolling variance band |
| Rolling Avg | 170.08 | 100-draw average reference |
| Std Dev | 36.040 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 30;49;60;61;69 | 0 |
| Lotterics Adaptive | 18;46;49;62;69 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 30 October 2026
Official Numbers
510384968
+17
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-3 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 170 | Position within rolling variance band |
| Rolling Avg | 170.83 | 100-draw average reference |
| Std Dev | 35.940 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 11;21;24;34;69 | 0 |
| Lotterics Adaptive | 18;38;43;63;69 | 1 |
| Best Weekly Match Level | 1 |
Mega Millions — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.45 | 7.81% |
| Lotterics Adaptive | 0.38 | 4.69% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Irish Lotto
Official Draw — 26 October 2026
Official Numbers
172930313840
+6
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 1-5 | Range distribution relative to midpoint |
| Sum | 185 | Position within rolling variance band |
| Rolling Avg | 167.25 | 100-draw average reference |
| Std Dev | 24.480 | Historical dispersion window |
| Consecutive Pairs | 2 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 10;16;29;32;46;47 | 1 |
| Lotterics Adaptive | 11;16;22;32;46;47 | 0 |
| Best Weekly Match Level | 1 |
Official Draw — 28 October 2026
Official Numbers
6811344043
+26
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 142 | Position within rolling variance band |
| Rolling Avg | 168.50 | 100-draw average reference |
| Std Dev | 22.710 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 6;16;32;42;45;47 | 1 |
| Lotterics Adaptive | 4;10;12;17;32;46 | 0 |
| Best Weekly Match Level | 1 |
Official Draw — 31 October 2026
Official Numbers
5711202326
+36
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 5-1 | Range distribution relative to midpoint |
| Sum | 92 | Position within rolling variance band |
| Rolling Avg | 163.58 | 100-draw average reference |
| Std Dev | 30.880 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 4;10;13;16;32;46 | 0 |
| Lotterics Adaptive | 16;20;32;36;37;47 | 1 |
| Best Weekly Match Level | 1 |
Irish Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.49 | 8.51% |
| Lotterics Adaptive | 0.60 | 10.64% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
EuroJackpot
Official Draw — 30 October 2026
Official Numbers
2126373942
+57
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-2 | Observed distribution alignment |
| High/Low | 1-4 | Range distribution relative to midpoint |
| Sum | 165 | Position within rolling variance band |
| Rolling Avg | 134.42 | 100-draw average reference |
| Std Dev | 37.070 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 1;8;16;44;49 | 0 |
| Lotterics Adaptive | 16;22;31;42;44 | 1 |
| Best Weekly Match Level | 1 |
EuroJackpot — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.50 | 0.0% |
| Lotterics Adaptive | 1.00 | 0.0% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.