Update draws, retrain models and generate tips through Aug 28

Also adds a Superzahl frequency analysis (results/superzahl_haeufigkeit.md).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

data/AlleLottozahlen.csv

@@ -3149,3 +3149,8 @@ datum;Z1;Z2;Z3;Z4;Z5;Z6;SZ
 2026-08-01;19;20;22;25;31;42;8
 2026-08-05;15;23;24;36;44;49;0
 2026-08-08;2;8;22;30;38;43;4
+2026-08-12;7;20;22;27;29;39;2
+2026-08-15;7;13;24;26;32;45;5
+2026-08-19;3;23;31;33;35;47;6
+2026-08-22;7;16;22;28;30;31;4
+2026-08-26;6;15;30;33;42;49;1

data/generated_tips/generation_history.json

@@ -587,6 +587,48 @@
       "file": "weekly_lotto_tips_20260807_110240.csv",
       "avg_confidence": 0.45460136598458617,
       "avg_quality": 0.5817841547618449
+    },
+    {
+      "timestamp": "2026-08-11T21:00:20.807905",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260811_210020.csv",
+      "avg_confidence": 0.5274359506168171,
+      "avg_quality": 0.5688063859747159
+    },
+    {
+      "timestamp": "2026-08-14T21:00:22.919487",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260814_210022.csv",
+      "avg_confidence": 0.45696232827519756,
+      "avg_quality": 0.5879224320353735
+    },
+    {
+      "timestamp": "2026-08-18T18:17:04.111332",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260818_181704.csv",
+      "avg_confidence": 0.45110691656126567,
+      "avg_quality": 0.5898197992923758
+    },
+    {
+      "timestamp": "2026-08-21T21:10:41.791452",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260821_211041.csv",
+      "avg_confidence": 0.499932694493307,
+      "avg_quality": 0.559861447374393
+    },
+    {
+      "timestamp": "2026-08-25T21:00:21.499693",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260825_210021.csv",
+      "avg_confidence": 0.5955361973367623,
+      "avg_quality": 0.6146608306370026
+    },
+    {
+      "timestamp": "2026-08-28T21:00:30.465190",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260828_210030.csv",
+      "avg_confidence": 0.5506374712982418,
+      "avg_quality": 0.5772785715969829
     }
   ]
 }

data/learning_log.json

@@ -883,6 +883,71 @@
         "main": 1.7,
         "sz_rate": 0.1
       }
+    },
+    {
+      "timestamp": "2026-08-12T20:00:58.985905",
+      "draw_date": "2026-08-12",
+      "evaluation": {
+        "main": 3,
+        "sz": false,
+        "tip": 9
+      },
+      "avg_matches": {
+        "main": 1.0,
+        "sz_rate": 0.1
+      }
+    },
+    {
+      "timestamp": "2026-08-18T18:16:19.268500",
+      "draw_date": "2026-08-15",
+      "evaluation": {
+        "main": 1,
+        "sz": false,
+        "tip": 1
+      },
+      "avg_matches": {
+        "main": 0.7,
+        "sz_rate": 0.1
+      }
+    },
+    {
+      "timestamp": "2026-08-19T20:00:51.392481",
+      "draw_date": "2026-08-19",
+      "evaluation": {
+        "main": 2,
+        "sz": false,
+        "tip": 3
+      },
+      "avg_matches": {
+        "main": 0.8,
+        "sz_rate": 0.1
+      }
+    },
+    {
+      "timestamp": "2026-08-22T20:01:17.278900",
+      "draw_date": "2026-08-22",
+      "evaluation": {
+        "main": 2,
+        "sz": false,
+        "tip": 2
+      },
+      "avg_matches": {
+        "main": 1.2,
+        "sz_rate": 0.1
+      }
+    },
+    {
+      "timestamp": "2026-08-26T20:00:56.288323",
+      "draw_date": "2026-08-26",
+      "evaluation": {
+        "main": 1,
+        "sz": false,
+        "tip": 1
+      },
+      "avg_matches": {
+        "main": 0.7,
+        "sz_rate": 0.1
+      }
     }
   ]
 }

data/ultimate_ml_models/deep_learning/lstm_config_49.json

@@ -1,9 +1,9 @@
 {
-  "trained_at": "2026-08-08T20:01:01.661343",
+  "trained_at": "2026-08-26T20:00:56.283583",
-  "num_samples": 3130,
+  "num_samples": 3135,
   "num_features": 20,
-  "final_loss": 0.3730404165726674,
+  "final_loss": 0.3730317278753353,
-  "final_val_loss": 0.37338354587554934,
+  "final_val_loss": 0.3733683332800865,
-  "best_val_loss": 0.37333065271377563,
+  "best_val_loss": 0.37311964482069016,
-  "epochs_trained": 30
+  "epochs_trained": 28
 }

data/ultimate_ml_models/learning_state.json

@@ -1,61 +1,61 @@
 {
   "adjustments": {
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   "stats": {
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+    "correct": 396,
-    "cycles": 61,
+    "cycles": 66,
-    "last_update": "2026-08-08T20:01:01.664655"
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   "learning_rate": 0.1,
-  "last_saved": "2026-08-08T20:01:01.664706"
+  "last_saved": "2026-08-26T20:00:56.286936"
 }

results/superzahl_haeufigkeit.md

@@ -0,0 +1,31 @@
+# Häufigste Superzahlen – Lotto 6aus49
+
+Stand: 3.152 Ziehungen (inkl. Ziehung vom 15.08.2026)
+
+| Rang | Superzahl | Häufigkeit | Anteil |
+|---|---|---|---|
+| 1 | **7** | 342× | 10,85% |
+| 2 | **5** | 333× | 10,56% |
+| 3 | **4** | 327× | 10,37% |
+| 4 | **6** | 318× | 10,09% |
+| 5 | **3** | 317× | 10,06% |
+| 6 | **0** | 311× | 9,87% |
+| 7 | **1** | 306× | 9,71% |
+| 8 | **2** | 306× | 9,71% |
+| 9 | **8** | 299× | 9,49% |
+| 10 | **9** | 293× | 9,30% |
+
+## Einordnung
+
+Bei theoretisch exakt gleicher Wahrscheinlichkeit (10,0% pro Ziffer) liegt die
+erwartete Zufallsschwankung bei ±0,5 Prozentpunkten über 3.152 Ziehungen — die
+gemessene Spanne (9,30%–10,85%) liegt genau in diesem Rauschband. Das ist
+**kein Beleg dafür, dass die 7 "häufiger kommt"**, sondern reine
+Stichprobenstreuung, da jede Ziehung unabhängig und gleichverteilt ist.
+
+Bemerkenswert: die **7 ist historisch am häufigsten gezogen worden**, gilt
+laut EV-Logik im Generator (`_get_smart_superzahl` in
+`scripts/generators/ultimate_ai_ml_hybrid_generator.py`) aber gleichzeitig als
+die **unpopulärste Wahl für die Tipp-Generierung**, da sie als klassische
+Glückszahl von Spielern überproportional oft getippt wird. Häufigste Ziehung
+und meiste Mitgewinner treffen hier also zusammen.