diff --git a/data/AlleLottozahlen.csv b/data/AlleLottozahlen.csv
index b930d03..58d4a73 100644
--- a/data/AlleLottozahlen.csv
+++ b/data/AlleLottozahlen.csv
@@ -3154,3 +3154,7 @@ datum;Z1;Z2;Z3;Z4;Z5;Z6;SZ
 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
+2026-08-29;9;18;28;39;41;48;6
+2026-09-02;8;19;23;32;44;45;8
+2026-09-05;6;11;28;31;37;47;5
+2026-09-09;7;24;28;30;39;41;5
diff --git a/data/generated_tips/generation_history.json b/data/generated_tips/generation_history.json
index 3e24e64..497c117 100644
--- a/data/generated_tips/generation_history.json
+++ b/data/generated_tips/generation_history.json
@@ -629,6 +629,34 @@
       "file": "weekly_lotto_tips_20260828_210030.csv",
       "avg_confidence": 0.5506374712982418,
       "avg_quality": 0.5772785715969829
+    },
+    {
+      "timestamp": "2026-09-01T21:00:51.165743",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260901_210051.csv",
+      "avg_confidence": 0.5179789527048461,
+      "avg_quality": 0.5936163803435738
+    },
+    {
+      "timestamp": "2026-09-04T21:08:30.163353",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260904_210830.csv",
+      "avg_confidence": 0.4558949537384773,
+      "avg_quality": 0.5771370784104253
+    },
+    {
+      "timestamp": "2026-09-08T21:11:41.032574",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260908_211141.csv",
+      "avg_confidence": 0.43113063183079586,
+      "avg_quality": 0.5745755401219569
+    },
+    {
+      "timestamp": "2026-09-11T21:00:21.363480",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260911_210021.csv",
+      "avg_confidence": 0.44672937432051574,
+      "avg_quality": 0.5866481687048961
     }
   ]
 }
\ No newline at end of file
diff --git a/data/learning_log.json b/data/learning_log.json
index 40dcf31..4166c15 100644
--- a/data/learning_log.json
+++ b/data/learning_log.json
@@ -948,6 +948,58 @@
         "main": 0.7,
         "sz_rate": 0.1
       }
+    },
+    {
+      "timestamp": "2026-08-29T20:00:52.886607",
+      "draw_date": "2026-08-29",
+      "evaluation": {
+        "main": 2,
+        "sz": true,
+        "tip": 5
+      },
+      "avg_matches": {
+        "main": 0.8,
+        "sz_rate": 0.1
+      }
+    },
+    {
+      "timestamp": "2026-09-02T20:00:54.961352",
+      "draw_date": "2026-09-02",
+      "evaluation": {
+        "main": 2,
+        "sz": false,
+        "tip": 1
+      },
+      "avg_matches": {
+        "main": 1.1,
+        "sz_rate": 0.1
+      }
+    },
+    {
+      "timestamp": "2026-09-05T20:00:53.963202",
+      "draw_date": "2026-09-05",
+      "evaluation": {
+        "main": 2,
+        "sz": false,
+        "tip": 6
+      },
+      "avg_matches": {
+        "main": 0.6,
+        "sz_rate": 0.1
+      }
+    },
+    {
+      "timestamp": "2026-09-09T20:00:55.140109",
+      "draw_date": "2026-09-09",
+      "evaluation": {
+        "main": 1,
+        "sz": true,
+        "tip": 7
+      },
+      "avg_matches": {
+        "main": 0.4,
+        "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 380e6ed..fd9ded9 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": "2026-08-26T20:00:56.283583",
-  "num_samples": 3135,
+  "trained_at": "2026-09-09T20:00:55.132856",
+  "num_samples": 3139,
   "num_features": 20,
-  "final_loss": 0.3730317278753353,
-  "final_val_loss": 0.3733683332800865,
-  "best_val_loss": 0.37311964482069016,
-  "epochs_trained": 28
+  "final_loss": 0.3722805441180362,
+  "final_val_loss": 0.37351479232311247,
+  "best_val_loss": 0.3732968047261238,
+  "epochs_trained": 30
 }
\ 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 c75ec43..8778d0a 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 b1f86d6..a3795f6 100644
--- a/data/ultimate_ml_models/learning_state.json
+++ b/data/ultimate_ml_models/learning_state.json
@@ -1,61 +1,61 @@
 {
   "adjustments": {
-    "1": -0.19478554069866538,
-    "2": -0.18901075949778243,
-    "3": -0.17621167205923433,
-    "4": -0.18956571514574574,
-    "5": -0.17727980514372696,
-    "6": -0.20113063443288826,
-    "7": -0.11518430063362944,
-    "8": -0.18146617313838923,
-    "9": -0.18759303973870778,
-    "10": -0.1677611820598764,
-    "11": -0.18219933065355118,
-    "12": -0.20960960726910235,
-    "13": -0.16373141392375076,
-    "14": -0.22788450336984212,
-    "15": -0.11295326493095584,
-    "16": -0.16515777429003534,
-    "17": -0.20387467951219515,
-    "18": -0.20533691607503754,
-    "19": -0.19401957406253612,
-    "20": -0.06410859904192305,
-    "21": -0.2189476922004348,
-    "22": -0.18703774486077154,
-    "23": -0.17986662678637222,
-    "24": -0.19143450263033077,
-    "25": -0.15615639580581434,
-    "26": -0.1629012047154243,
-    "27": -0.16573545711626494,
-    "28": -0.14097169337511936,
-    "29": -0.19412106797494957,
-    "30": -0.15821678362881567,
-    "31": -0.1806700907184887,
-    "32": -0.14317751187959615,
-    "33": -0.18911248952822005,
-    "34": -0.24300222383281544,
-    "35": -0.14889768383078938,
-    "36": -0.19962377282817678,
-    "37": -0.12131189581893032,
-    "38": -0.23006634008932061,
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-    "40": -0.19554822180621415,
-    "41": -0.2004735679542188,
-    "42": -0.1605865902425092,
-    "43": -0.16395664875494143,
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-    "45": -0.22780245811738084,
-    "46": -0.2110493342300891,
-    "47": -0.17439901746633996,
-    "48": -0.16614824262473232,
-    "49": -0.15277862794792954
+    "1": -0.2106701973228925,
+    "2": -0.20501004841262846,
+    "3": -0.1924650292512798,
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+    "34": -0.25792975521862355,
+    "35": -0.16569323732909239,
+    "36": -0.2154123881285409,
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   },
   "stats": {
-    "incorrect": 2838,
-    "correct": 396,
-    "cycles": 66,
-    "last_update": "2026-08-26T20:00:56.286878"
+    "incorrect": 3010,
+    "correct": 420,
+    "cycles": 70,
+    "last_update": "2026-09-09T20:00:55.138048"
   },
   "learning_rate": 0.1,
-  "last_saved": "2026-08-26T20:00:56.286936"
+  "last_saved": "2026-09-09T20:00:55.138109"
 }
\ 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 cc9cde9..0683b15 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
index f581ab4..08a595a 100644
--- a/results/superzahl_haeufigkeit.md
+++ b/results/superzahl_haeufigkeit.md
@@ -1,25 +1,25 @@
 # Häufigste Superzahlen – Lotto 6aus49
 
-Stand: 3.152 Ziehungen (inkl. Ziehung vom 15.08.2026)
+Stand: 3.155 Ziehungen (inkl. Ziehung vom 26.08.2026)
 
 | 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% |
+| --- | --- | --- | --- |
+| 1 | **7** | 342× | 10,84% |
+| 2 | **5** | 333× | 10,55% |
+| 3 | **4** | 328× | 10,40% |
+| 4 | **6** | 319× | 10,11% |
+| 5 | **3** | 317× | 10,05% |
+| 6 | **0** | 311× | 9,86% |
+| 7 | **1** | 307× | 9,73% |
+| 8 | **2** | 306× | 9,70% |
+| 9 | **8** | 299× | 9,48% |
+| 10 | **9** | 293× | 9,29% |
 
 ## 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
+erwartete Zufallsschwankung bei ±0,5 Prozentpunkten über 3.155 Ziehungen — die
+gemessene Spanne (9,29%–10,84%) 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.