Research & Analysis
Weekly Lottery Intelligence Report
Week 22, 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 — 26 May 2026
Official Numbers
623253537
+612
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-1 | Observed distribution alignment |
| High/Low | 3-2 | Range distribution relative to midpoint |
| Sum | 126 | Position within rolling variance band |
| Rolling Avg | 134.67 | 100-draw average reference |
| Std Dev | 30.010 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 7;9;15;24;39 | 0 |
| Lotterics Adaptive | 7;18;21;24;48 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 29 May 2026
Official Numbers
514183135
+212
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-2 | Observed distribution alignment |
| High/Low | 3-2 | Range distribution relative to midpoint |
| Sum | 103 | Position within rolling variance band |
| Rolling Avg | 129.83 | 100-draw average reference |
| Std Dev | 30.060 | 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 |
EuroMillions — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.30 | 4.35% |
| Lotterics Adaptive | 0.36 | 4.55% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Swiss Lotto
Official Draw — 27 May 2026
Official Numbers
142729313842
+4
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 1-5 | Range distribution relative to midpoint |
| Sum | 181 | Position within rolling variance band |
| Rolling Avg | 142.33 | 100-draw average reference |
| Std Dev | 23.860 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 7;13;17;26;32;39 | 0 |
| Lotterics Adaptive | 2;4;16;17;21;39 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 30 May 2026
Official Numbers
7914171939
+2
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 5-1 | Observed distribution alignment |
| High/Low | 5-1 | Range distribution relative to midpoint |
| Sum | 105 | Position within rolling variance band |
| Rolling Avg | 139.00 | 100-draw average reference |
| Std Dev | 25.960 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 4;5;7;16;26;32 | 1 |
| Lotterics Adaptive | 3;17;21;26;32;39 | 2 |
| Best Weekly Match Level | 2 |
Swiss Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.67 | 12.73% |
| Lotterics Adaptive | 0.69 | 20.37% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
SuperEnalotto
Official Draw — 26 May 2026
Official Numbers
71035414561
+245
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 5-1 | Observed distribution alignment |
| High/Low | 5-1 | Range distribution relative to midpoint |
| Sum | 199 | Position within rolling variance band |
| Rolling Avg | 282.67 | 100-draw average reference |
| Std Dev | 70.680 | 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 — 28 May 2026
Official Numbers
223336747886
+3481
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-5 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 329 | Position within rolling variance band |
| Rolling Avg | 285.83 | 100-draw average reference |
| Std Dev | 71.830 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 10;11;39;75;76;88 | 0 |
| Lotterics Adaptive | 11;23;70;78;80;88 | 1 |
| Best Weekly Match Level | 1 |
Official Draw — 29 May 2026
Official Numbers
94244468590
+2056
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 316 | Position within rolling variance band |
| Rolling Avg | 291.08 | 100-draw average reference |
| Std Dev | 71.540 | 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 — 30 May 2026
Official Numbers
81321396371
+5672
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 5-1 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 215 | Position within rolling variance band |
| Rolling Avg | 291.25 | 100-draw average reference |
| Std Dev | 71.360 | 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 |
SuperEnalotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.31 | 5.13% |
| Lotterics Adaptive | 0.32 | 1.32% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
EuroDreams
Official Draw — 25 May 2026
Official Numbers
41317222730
+1
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 113 | Position within rolling variance band |
| Rolling Avg | 116.58 | 100-draw average reference |
| Std Dev | 28.510 | 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 — 28 May 2026
Official Numbers
111217222535
+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 | 122 | Position within rolling variance band |
| Rolling Avg | 112.17 | 100-draw average reference |
| Std Dev | 22.620 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 8;9;18;20;23;35 | 1 |
| Lotterics Adaptive | 11;18;20;28;36;39 | 1 |
| Best Weekly Match Level | 1 |
EuroDreams — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.82 | 20.0% |
| Lotterics Adaptive | 0.80 | 22.73% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
German Lotto 6aus49
Official Draw — 27 May 2026
Official Numbers
162630414447
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 1-5 | Range distribution relative to midpoint |
| Sum | 204 | Position within rolling variance band |
| Rolling Avg | 152.58 | 100-draw average reference |
| Std Dev | 40.880 | 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 — 30 May 2026
Official Numbers
31014274148
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 143 | Position within rolling variance band |
| Rolling Avg | 147.08 | 100-draw average reference |
| Std Dev | 37.190 | 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 |
German Lotto 6aus49 — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.45 | 10.0% |
| Lotterics Adaptive | 0.66 | 13.16% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Powerball
Official Draw — 25 May 2026
Official Numbers
1732486064
+10
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-4 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 221 | Position within rolling variance band |
| Rolling Avg | 203.17 | 100-draw average reference |
| Std Dev | 22.640 | 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 — 27 May 2026
Official Numbers
514213151
+13
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-1 | Observed distribution alignment |
| High/Low | 4-1 | Range distribution relative to midpoint |
| Sum | 122 | Position within rolling variance band |
| Rolling Avg | 198.75 | 100-draw average reference |
| Std Dev | 31.240 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 5;14;34;62;69 | 2 |
| Lotterics Adaptive | 1;5;26;34;53 | 1 |
| Best Weekly Match Level | 2 |
Official Draw — 30 May 2026
Official Numbers
127354452
+12
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-2 | Observed distribution alignment |
| High/Low | 3-2 | Range distribution relative to midpoint |
| Sum | 159 | Position within rolling variance band |
| Rolling Avg | 193.58 | 100-draw average reference |
| Std Dev | 32.240 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 1;7;18;26;34 | 1 |
| Lotterics Adaptive | 20;23;26;34;53 | 0 |
| Best Weekly Match Level | 1 |
Powerball — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.44 | 6.94% |
| Lotterics Adaptive | 0.38 | 6.15% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Australian Lotto
Official Draw — 30 May 2026
Official Numbers
81012192836
+35
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-5 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 113 | Position within rolling variance band |
| Rolling Avg | 127.75 | 100-draw average reference |
| Std Dev | 29.640 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 3;10;22;23;38;43 | 1 |
| Lotterics Adaptive | 6;10;21;23;26;42 | 1 |
| Best Weekly Match Level | 1 |
Australian Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.60 | 10.0% |
| Lotterics Adaptive | 0.47 | 10.53% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Mega Millions
Official Draw — 26 May 2026
Official Numbers
15495159
+7
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 5-0 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 165 | Position within rolling variance band |
| Rolling Avg | 186.67 | 100-draw average reference |
| Std Dev | 29.520 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 10;19;29;60;69 | 0 |
| Lotterics Adaptive | 2;9;10;29;46 | 0 |
| Best Weekly Match Level | 0 |
Official Draw — 29 May 2026
Official Numbers
1924475965
+7
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-1 | Observed distribution alignment |
| High/Low | 2-3 | Range distribution relative to midpoint |
| Sum | 214 | Position within rolling variance band |
| Rolling Avg | 184.83 | 100-draw average reference |
| Std Dev | 26.980 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 9;10;29;31;39 | 0 |
| Lotterics Adaptive | 10;11;29;30;64 | 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 — 26 May 2026
Official Numbers
2527364060
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 170 | Position within rolling variance band |
| Rolling Avg | 186.92 | 100-draw average reference |
| Std Dev | 47.360 | Historical dispersion window |
| Consecutive Pairs | 0 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 2;9;10;15;34;56 | 1 |
| Lotterics Adaptive | 15;16;34;41;46;52 | 0 |
| Best Weekly Match Level | 1 |
Official Draw — 28 May 2026
Official Numbers
5717414249
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 5-1 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 161 | Position within rolling variance band |
| Rolling Avg | 180.92 | 100-draw average reference |
| Std Dev | 45.680 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 2;10;15;34;46;56 | 0 |
| Lotterics Adaptive | 9;34;41;53;54;56 | 1 |
| Best Weekly Match Level | 1 |
Official Draw — 30 May 2026
Official Numbers
21421223444
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-5 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 137 | Position within rolling variance band |
| Rolling Avg | 176.92 | 100-draw average reference |
| Std Dev | 47.220 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 1;15;34;40;53;56 | 1 |
| Lotterics Adaptive | 2;9;10;34;46;53 | 2 |
| Best Weekly Match Level | 2 |
Mega-Sena — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.52 | 12.7% |
| Lotterics Adaptive | 0.66 | 14.75% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
La Primitiva
Official Draw — 25 May 2026
Official Numbers
5722364243
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 155 | Position within rolling variance band |
| Rolling Avg | 144.58 | 100-draw average reference |
| Std Dev | 31.400 | 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 — 28 May 2026
Official Numbers
3910264346
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 3-3 | Observed distribution alignment |
| High/Low | 3-3 | Range distribution relative to midpoint |
| Sum | 137 | Position within rolling variance band |
| Rolling Avg | 147.08 | 100-draw average reference |
| Std Dev | 29.440 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 3;25;35;38;44;47 | 1 |
| Lotterics Adaptive | 15;19;29;44;46;47 | 1 |
| Best Weekly Match Level | 1 |
Official Draw — 30 May 2026
Official Numbers
21232344849
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 1-5 | Observed distribution alignment |
| High/Low | 2-4 | Range distribution relative to midpoint |
| Sum | 177 | Position within rolling variance band |
| Rolling Avg | 147.17 | 100-draw average reference |
| Std Dev | 29.520 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 15;23;29;35;39;47 | 0 |
| Lotterics Adaptive | 4;28;35;38;44;47 | 0 |
| Best Weekly Match Level | 0 |
La Primitiva — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.50 | 4.29% |
| Lotterics Adaptive | 0.62 | 11.59% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
UK Lotto
Official Draw — 27 May 2026
Official Numbers
333638464750
+35
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 0-6 | Range distribution relative to midpoint |
| Sum | 250 | Position within rolling variance band |
| Rolling Avg | 153.17 | 100-draw average reference |
| Std Dev | 50.110 | 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 — 30 May 2026
Official Numbers
41718202356
+33
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 2-4 | Observed distribution alignment |
| High/Low | 5-1 | Range distribution relative to midpoint |
| Sum | 138 | Position within rolling variance band |
| Rolling Avg | 154.83 | 100-draw average reference |
| Std Dev | 49.240 | 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 |
UK Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.69 | 11.11% |
| Lotterics Adaptive | 0.81 | 16.13% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.
Irish Lotto
Official Draw — 27 May 2026
Official Numbers
12932394044
+11
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 | 137.67 | 100-draw average reference |
| Std Dev | 27.110 | Historical dispersion window |
| Consecutive Pairs | 1 | Observed adjacency frequency |
Model Performance Comparison
| Model | Prediction | Main Matches |
|---|---|---|
| Statistical Model | 2;13;15;26;39;43 | 1 |
| Lotterics Adaptive | 2;4;6;13;14;47 | 0 |
| Best Weekly Match Level | 1 |
Official Draw — 30 May 2026
Official Numbers
31521242942
+2
Structural Pattern Analysis
| Metric | Value | Statistical Context |
|---|---|---|
| Odd/Even | 4-2 | Observed distribution alignment |
| High/Low | 4-2 | Range distribution relative to midpoint |
| Sum | 134 | Position within rolling variance band |
| Rolling Avg | 138.42 | 100-draw average reference |
| Std Dev | 26.880 | 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 |
Irish Lotto — Rolling 100-Draw Performance Snapshot
| Model | Avg Main Matches | ≥2 Match Rate |
|---|---|---|
| Statistical Model | 0.53 | 8.82% |
| Lotterics Adaptive | 0.50 | 6.25% |
Observed differences reflect historical distribution patterns and remain within stochastic variance bands.