fix(ai-engine): hoist ms_edge before score prediction branch to prevent UnboundLocalError
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@@ -925,6 +925,7 @@ class SingleMatchOrchestrator:
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prediction.handicap_confidence = hcap_top * 100.0
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# ── Score Prediction: Model-first, heuristic fallback ──────────
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ms_edge = prediction.ms_home_prob - prediction.ms_away_prob
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score_result = self._predict_score_with_model(features)
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if score_result is not None:
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# ML model predicted scores
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@@ -939,7 +940,7 @@ class SingleMatchOrchestrator:
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# Heuristic fallback (original formula)
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base_home_xg = max(0.25, (float(data.home_goals_avg) + float(features.get("away_xga", data.away_conceded_avg))) / 2.0)
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base_away_xg = max(0.25, (float(data.away_goals_avg) + float(features.get("home_xga", data.home_conceded_avg))) / 2.0)
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ms_edge = prediction.ms_home_prob - prediction.ms_away_prob
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# ms_edge already computed above
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total_target = max(
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1.4,
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min(
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