diff --git a/data/AlleLottozahlen.csv b/data/AlleLottozahlen.csv
index 49ac517..b930d03 100644
--- a/data/AlleLottozahlen.csv
+++ b/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
diff --git a/data/generated_tips/generation_history.json b/data/generated_tips/generation_history.json
index d934311..3e24e64 100644
--- a/data/generated_tips/generation_history.json
+++ b/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
     }
   ]
 }
\ No newline at end of file
diff --git a/data/learning_log.json b/data/learning_log.json
index c10aece..40dcf31 100644
--- a/data/learning_log.json
+++ b/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
+      }
     }
   ]
 }
\ No newline at end of file
diff --git a/data/ultimate_ml_models/deep_learning/lstm_config_49.json b/data/ultimate_ml_models/deep_learning/lstm_config_49.json
index aa9bb56..380e6ed 100644
--- a/data/ultimate_ml_models/deep_learning/lstm_config_49.json
+++ b/data/ultimate_ml_models/deep_learning/lstm_config_49.json
@@ -1,9 +1,9 @@
 {
-  "trained_at": "2026-08-08T20:01:01.661343",
-  "num_samples": 3130,
+  "trained_at": "2026-08-26T20:00:56.283583",
+  "num_samples": 3135,
   "num_features": 20,
-  "final_loss": 0.3730404165726674,
-  "final_val_loss": 0.37338354587554934,
-  "best_val_loss": 0.37333065271377563,
-  "epochs_trained": 30
+  "final_loss": 0.3730317278753353,
+  "final_val_loss": 0.3733683332800865,
+  "best_val_loss": 0.37311964482069016,
+  "epochs_trained": 28
 }
\ No newline at end of file
diff --git a/data/ultimate_ml_models/deep_learning/lstm_model_49.pth b/data/ultimate_ml_models/deep_learning/lstm_model_49.pth
index 62afa96..c75ec43 100644
Binary files a/data/ultimate_ml_models/deep_learning/lstm_model_49.pth and b/data/ultimate_ml_models/deep_learning/lstm_model_49.pth differ
diff --git a/data/ultimate_ml_models/learning_state.json b/data/ultimate_ml_models/learning_state.json
index bd58c72..b1f86d6 100644
--- a/data/ultimate_ml_models/learning_state.json
+++ b/data/ultimate_ml_models/learning_state.json
@@ -1,61 +1,61 @@
 {
   "adjustments": {
-    "1": -0.17447656252852098,
-    "2": -0.16855522073505835,
-    "3": -0.17058243243886537,
-    "4": -0.16912426083501933,
-    "5": -0.1565265415734563,
-    "6": -0.19628647888692194,
-    "7": -0.13815773500328712,
-    "8": -0.1608191571561589,
-    "9": -0.16710152007198503,
-    "10": -0.1467663413646578,
-    "11": -0.16157092178319896,
-    "12": -0.189676855297913,
-    "13": -0.15770967693836213,
-    "14": -0.20841555764666236,
-    "15": -0.10587121896511503,
-    "16": -0.15932412950943126,
-    "17": -0.18379637840568513,
-    "18": -0.18529572568314806,
-    "19": -0.17369115610408078,
-    "20": -0.05548311599661672,
-    "21": -0.19925193540074856,
-    "22": -0.19675940102420744,
-    "23": -0.17433014779398687,
-    "24": -0.18611585394489455,
-    "25": -0.13486703237614187,
-    "26": -0.15685839750255778,
-    "27": -0.1596892046986258,
-    "28": -0.13452421990945101,
-    "29": -0.18879522587303826,
-    "30": -0.16751076836769452,
-    "31": -0.19038127206562197,
-    "32": -0.13663412879912137,
-    "33": -0.199114452992506,
-    "34": -0.2239169570738135,
-    "35": -0.14257523105459294,
-    "36": -0.17943758617917807,
-    "37": -0.09913819921912113,
-    "38": -0.21065276811475495,
-    "39": -0.14244888114149687,
-    "40": -0.17525860003957378,
-    "41": -0.18030894861191304,
-    "42": -0.15471345040511847,
-    "43": -0.14286525121431798,
-    "44": -0.1453351098570295,
-    "45": -0.22340680701777196,
-    "46": -0.19115312169289994,
-    "47": -0.16872377372528913,
-    "48": -0.1451124664635304,
-    "49": -0.14670732656278024
+    "1": -0.19478554069866538,
+    "2": -0.18901075949778243,
+    "3": -0.17621167205923433,
+    "4": -0.18956571514574574,
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+    "35": -0.14889768383078938,
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+    "38": -0.23006634008932061,
+    "39": -0.14892185306375724,
+    "40": -0.19554822180621415,
+    "41": -0.2004735679542188,
+    "42": -0.1605865902425092,
+    "43": -0.16395664875494143,
+    "44": -0.16636537531663315,
+    "45": -0.22780245811738084,
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+    "48": -0.16614824262473232,
+    "49": -0.15277862794792954
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   "stats": {
-    "incorrect": 2623,
-    "correct": 366,
-    "cycles": 61,
-    "last_update": "2026-08-08T20:01:01.664655"
+    "incorrect": 2838,
+    "correct": 396,
+    "cycles": 66,
+    "last_update": "2026-08-26T20:00:56.286878"
   },
   "learning_rate": 0.1,
-  "last_saved": "2026-08-08T20:01:01.664706"
+  "last_saved": "2026-08-26T20:00:56.286936"
 }
\ No newline at end of file
diff --git a/data/ultimate_ml_models/trained_models.pkl b/data/ultimate_ml_models/trained_models.pkl
index 632a71d..cc9cde9 100644
Binary files a/data/ultimate_ml_models/trained_models.pkl and b/data/ultimate_ml_models/trained_models.pkl differ
diff --git a/results/superzahl_haeufigkeit.md b/results/superzahl_haeufigkeit.md
new file mode 100644
index 0000000..f581ab4
--- /dev/null
+++ b/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.