Research & Analysis
Weekly Lottery Intelligence Report
Week 11, 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 — 9 March 2026
Official Numbers
1331324449
+69
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-2 | Observed distribution alignment |
| High/Low | 1-4 | Range distribution relative to midpoint |
| Sum | 169 | Position within rolling variance band |
| Rolling Avg | 131.92 | 100-draw average reference |
| Std Dev | 26.540 | 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 — 10 March 2026
Official Numbers
1214274450
+412
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-4 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 147 | Position within rolling variance band |
| Rolling Avg | 133.33 | 100-draw average reference |
| Std Dev | 26.850 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 3;25;38;45;48 | 0 |
| Lotterics Adaptive | 2;3;20;45;49 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 12 March 2026
Official Numbers
1115364445
+310
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-2 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 151 | Position within rolling variance band |
| Rolling Avg | 135.00 | 100-draw average reference |
| Std Dev | 27.270 | 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 — 13 March 2026
Official Numbers
1317264148
+410
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-2 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 145 | Position within rolling variance band |
| Rolling Avg | 141.92 | 100-draw average reference |
| Std Dev | 16.130 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 3;20;25;45;49 | 0 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 14 March 2026
Official Numbers
1721313235
+911
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-1 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 136 | Position within rolling variance band |
| Rolling Avg | 140.92 | 100-draw average reference |
| Std Dev | 16.090 | 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 |
EuroMillions — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.31 | 4.08% |
| Lotterics Adaptive | 0.36 | 4.26% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Swiss Lotto
Official Draw — 9 March 2026
Official Numbers
6810212738
+3
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 110 | Position within rolling variance band |
| Rolling Avg | 130.67 | 100-draw average reference |
| Std Dev | 21.280 | 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 |
Official Draw — 10 March 2026
Official Numbers
61119253241
+5
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 134 | Position within rolling variance band |
| Rolling Avg | 127.58 | 100-draw average reference |
| Std Dev | 17.570 | 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 |
Official Draw — 11 March 2026
Official Numbers
5719354042
+4
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 148 | Position within rolling variance band |
| Rolling Avg | 131.58 | 100-draw average reference |
| Std Dev | 16.250 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 2;9;12;18;22;37 | 0 |
| Lotterics Adaptive | 2;8;12;18;22;31 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 14 March 2026
Official Numbers
82129353840
+3
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 171 | Position within rolling variance band |
| Rolling Avg | 136.42 | 100-draw average reference |
| Std Dev | 18.470 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 2;3;8;9;12;38 | 2 |
| Lotterics Adaptive | 8;22;25;28;30;35 | 2 |
| Best Weekly Match Level | 2 |
Swiss Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.64 | 11.48% |
| Lotterics Adaptive | 0.62 | 18.33% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
SuperEnalotto
Official Draw — 10 March 2026
Official Numbers
83442475583
+442
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 269 | Position within rolling variance band |
| Rolling Avg | 264.67 | 100-draw average reference |
| Std Dev | 49.330 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 4;11;36;40;51;54 | 0 |
| Lotterics Adaptive | 4;23;36;44;48;54 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 12 March 2026
Official Numbers
82425626364
+4354
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 246 | Position within rolling variance band |
| Rolling Avg | 259.50 | 100-draw average reference |
| Std Dev | 47.740 | Historical dispersion window |
| Consecutive Pairs | 3 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 36;38;59;64;73;75 | 1 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 1 |
Official Draw — 13 March 2026
Official Numbers
31113205361
+4388
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 5-1 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 161 | Position within rolling variance band |
| Rolling Avg | 249.67 | 100-draw average reference |
| Std Dev | 54.400 | 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 |
Official Draw — 14 March 2026
Official Numbers
3633638889
+1887
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 282 | Position within rolling variance band |
| Rolling Avg | 241.33 | 100-draw average reference |
| Std Dev | 38.960 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 30;38;67;73;75;82 | 0 |
| Lotterics Adaptive | 38;58;59;70;73;75 | 0 |
| Best Weekly Match Level | 0 |
SuperEnalotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.30 | 4.82% |
| Lotterics Adaptive | 0.33 | 2.47% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
EuroDreams
Official Draw — 9 March 2026
Official Numbers
51432343537
+3
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 157 | Position within rolling variance band |
| Rolling Avg | 130.42 | 100-draw average reference |
| Std Dev | 23.710 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 4;15;16;20;29;31 | 0 |
| Lotterics Adaptive | 3;4;7;15;20;29 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 12 March 2026
Official Numbers
2920233536
+4
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 125 | Position within rolling variance band |
| Rolling Avg | 132.17 | 100-draw average reference |
| Std Dev | 22.430 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 4;15;20;29;30;31 | 1 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 1 |
EuroDreams — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.79 | 18.75% |
| Lotterics Adaptive | 0.79 | 21.28% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
German Lotto 6aus49
Official Draw — 11 March 2026
Official Numbers
172126323537
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 168 | Position within rolling variance band |
| Rolling Avg | 148.75 | 100-draw average reference |
| Std Dev | 20.350 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 7;10;12;27;29;36 | 0 |
| Lotterics Adaptive | 7;12;18;27;47;49 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 14 March 2026
Official Numbers
192028324445
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 188 | Position within rolling variance band |
| Rolling Avg | 153.25 | 100-draw average reference |
| Std Dev | 22.450 | Historical dispersion window |
| Consecutive Pairs | 2 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 7;12;18;22;27;36 | 0 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 0 |
German Lotto 6aus49 — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.43 | 8.7% |
| Lotterics Adaptive | 0.57 | 11.36% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Powerball
Official Draw — 9 March 2026
Official Numbers
2223283654
+13
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-4 | Observed distribution alignment |
| High/Low | 3-2 | Range distribution relative to midpoint |
| Sum | 163 | Position within rolling variance band |
| Rolling Avg | 191.92 | 100-draw average reference |
| Std Dev | 44.160 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 4;15;16;20;29;31 | 0 |
| Lotterics Adaptive | 3;4;7;15;20;29 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 10 March 2026
Official Numbers
144575965
+18
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-1 | Observed distribution alignment |
| High/Low | 1-4 | Range distribution relative to midpoint |
| Sum | 226 | Position within rolling variance band |
| Rolling Avg | 192.08 | 100-draw average reference |
| Std Dev | 44.280 | 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 |
Official Draw — 11 March 2026
Official Numbers
36555863
+12
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-2 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 185 | Position within rolling variance band |
| Rolling Avg | 191.83 | 100-draw average reference |
| Std Dev | 44.310 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 15;44;47;66;67 | 0 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 14 March 2026
Official Numbers
930425052
+21
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-4 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 183 | Position within rolling variance band |
| Rolling Avg | 197.50 | 100-draw average reference |
| Std Dev | 38.030 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 13;32;46;67;69 | 0 |
| Lotterics Adaptive | 32;43;52;53;67 | 1 |
| Best Weekly Match Level | 1 |
Powerball — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.41 | 6.33% |
| Lotterics Adaptive | 0.36 | 5.56% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Australian Lotto
Official Draw — 14 March 2026
Official Numbers
142127343640
+533
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 172 | Position within rolling variance band |
| Rolling Avg | 138.58 | 100-draw average reference |
| Std Dev | 30.930 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 1;5;10;18;37;41 | 0 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 0 |
Australian Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.58 | 8.33% |
| Lotterics Adaptive | 0.48 | 8.7% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Mega Millions
Official Draw — 10 March 2026
Official Numbers
1621303565
+7
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-2 | Observed distribution alignment |
| High/Low | 4-1 | Range distribution relative to midpoint |
| Sum | 167 | Position within rolling variance band |
| Rolling Avg | 183.50 | 100-draw average reference |
| Std Dev | 32.540 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 17;28;29;31;32 | 0 |
| Lotterics Adaptive | 28;29;45;46;60 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 13 March 2026
Official Numbers
619364055
+9
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-3 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 156 | Position within rolling variance band |
| Rolling Avg | 180.92 | 100-draw average reference |
| Std Dev | 33.380 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 24;28;29;31;51 | 0 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 0 |
Mega Millions — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.49 | 7.55% |
| Lotterics Adaptive | 0.33 | 3.92% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Mega-Sena
Official Draw — 10 March 2026
Official Numbers
23541464958
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 1-5 | Range distribution relative to midpoint |
| Sum | 231 | Position within rolling variance band |
| Rolling Avg | 176.42 | 100-draw average reference |
| Std Dev | 36.030 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 4;11;36;40;51;54 | 0 |
| Lotterics Adaptive | 4;23;36;44;48;54 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 12 March 2026
Official Numbers
31530324052
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 172 | Position within rolling variance band |
| Rolling Avg | 173.33 | 100-draw average reference |
| Std Dev | 34.670 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 4;5;11;25;29;54 | 0 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 14 March 2026
Official Numbers
61115284260
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 162 | Position within rolling variance band |
| Rolling Avg | 171.83 | 100-draw average reference |
| Std Dev | 34.730 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 4;5;29;36;54;55 | 0 |
| Lotterics Adaptive | 4;10;25;31;34;54 | 0 |
| Best Weekly Match Level | 0 |
Mega-Sena — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.52 | 11.94% |
| Lotterics Adaptive | 0.65 | 15.38% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
La Primitiva
Official Draw — 9 March 2026
Official Numbers
3726394244
+32
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 161 | Position within rolling variance band |
| Rolling Avg | 149.50 | 100-draw average reference |
| Std Dev | 27.700 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 10;22;23;35;40;43 | 0 |
| Lotterics Adaptive | 8;32;34;36;39;43 | 1 |
| Best Weekly Match Level | 1 |
Official Draw — 12 March 2026
Official Numbers
51216222936
+26
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 120 | Position within rolling variance band |
| Rolling Avg | 146.83 | 100-draw average reference |
| Std Dev | 28.850 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 2;10;22;23;28;43 | 1 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 1 |
Official Draw — 14 March 2026
Official Numbers
1712162445
+25
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 5-1 | Range distribution relative to midpoint |
| Sum | 105 | Position within rolling variance band |
| Rolling Avg | 144.58 | 100-draw average reference |
| Std Dev | 30.900 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 2;14;19;23;34;43 | 0 |
| Lotterics Adaptive | 8;22;25;28;30;35 | 0 |
| Best Weekly Match Level | 0 |
La Primitiva — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.51 | 4.0% |
| Lotterics Adaptive | 0.61 | 12.16% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
UK Lotto
Official Draw — 11 March 2026
Official Numbers
2318254054
+14
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 142 | Position within rolling variance band |
| Rolling Avg | 179.42 | 100-draw average reference |
| Std Dev | 46.820 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 17;21;38;42;48;55 | 0 |
| Lotterics Adaptive | 29;30;38;42;48;59 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 14 March 2026
Official Numbers
103036444558
+59
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-5 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 223 | Position within rolling variance band |
| Rolling Avg | 186.83 | 100-draw average reference |
| Std Dev | 46.080 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 1;4;19;38;42;48 | 0 |
| Lotterics Adaptive | 6;16;19;29;42;45 | 1 |
| Best Weekly Match Level | 1 |
UK Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.62 | 10.0% |
| Lotterics Adaptive | 0.71 | 14.29% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Irish Lotto
Official Draw — 11 March 2026
Official Numbers
51011174041
+14
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 124 | Position within rolling variance band |
| Rolling Avg | 152.08 | 100-draw average reference |
| Std Dev | 26.380 | Historical dispersion window |
| Consecutive Pairs | 2 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 2;13;23;26;39;42 | 0 |
| Lotterics Adaptive | 2;13;30;36;39;46 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 14 March 2026
Official Numbers
3531374246
+17
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 164 | Position within rolling variance band |
| Rolling Avg | 153.25 | 100-draw average reference |
| Std Dev | 26.570 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 6;13;30;32;39;42 | 1 |
| Lotterics Adaptive | — | 0 |
| Best Weekly Match Level | 1 |
Irish Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.50 | 8.33% |
| Lotterics Adaptive | 0.59 | 11.76% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.