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2026-04-24 01:15:05 +03:00
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"""Quick test: V20+Quant integration — EV Edge, Kelly staking, edge-based grading."""
import json
from services.single_match_orchestrator import SingleMatchOrchestrator
MATCH_IDS = [
"er7n8hqndkhvdsg6an72r7h90", # Def. Justicia vs Atl Lanus
"etpay8k4qr3gts3jjidfebaxg", # CA Tigre vs Gymnasia
]
o = SingleMatchOrchestrator()
for mid in MATCH_IDS:
print(f"\n{'='*60}")
print(f"MATCH: {mid}")
print(f"{'='*60}")
r = o.analyze_match(mid)
if not r:
print(" Match not found")
continue
info = r.get("match_info", {})
print(f" {info.get('match_name', '?')} | {info.get('league', '?')}")
mp = r.get("main_pick", {})
print(f"\n MAIN PICK: {mp.get('market')} {mp.get('pick')}")
print(f" probability: {mp.get('probability', 0):.4f}")
print(f" odds: {mp.get('odds', 0):.2f}")
print(f" ev_edge: {mp.get('ev_edge', mp.get('edge', 0)):+.4f}")
print(f" implied_prob: {mp.get('implied_prob', 0):.4f}")
print(f" bet_grade: {mp.get('bet_grade', 'N/A')}")
print(f" stake_units: {mp.get('stake_units', 0)}")
print(f" playable: {mp.get('playable', False)}")
print(f" reasons: {mp.get('decision_reasons', [])}")
print(f"\n ALL MARKETS (with EV Edge + Kelly):")
for b in r.get("bet_summary", []):
ev = b.get("ev_edge", 0)
imp = b.get("implied_prob", 0)
flag = ">>>" if b.get("playable") else " "
mkt = b["market"]
pick = b["pick"]
odds = b.get("odds", 0)
grade = b["bet_grade"]
stake = b["stake_units"]
conf = b.get("calibrated_confidence", 0)
print(
f" {flag} {mkt:8s} {pick:12s} "
f"ev_edge={ev:+.3f} "
f"odds={odds:.2f} "
f"stake={stake:.1f} "
f"grade={grade:4s} "
f"conf={conf:.1f}% "
f"implied={imp:.3f}"
)
print()