Automating UFC Prop Bets with Python

This tutorial demonstrates how to automate UFC prop betting using Python. By connecting to the Terminal Software API, developers can bypass heavily juiced moneylines and specifically filter for high-value Expected Value (+EV) discrepancies in Method of Victory and exact round markets.

In MMA, moneylines are often heavily juiced. The real algorithmic edge is found in "Method of Victory" (KO/Sub/Decision) and Total Rounds. Here is how to snipe UFC props via API.

Environment Setup

We will use standard Python requests to parse the JSON array.

pip install requests

Targeting the Octagon

Query the Recon Engine for mma_mixed_martial_arts.

import requests

url = "https://api.terminalsoftware.online/v1/sports/edges?sport=mma_mixed_martial_arts"
headers = {"Authorization": "Bearer term_live_YOUR_KEY_HERE"}
ufc_edges = requests.get(url, headers=headers).json()

Filtering Method of Victory

We write a filter that ignores standard win/loss markets and specifically hunts for mispriced exact outcomes.

for prop in ufc_edges:
    ev = float(prop.get('ev', 0))
    market = prop.get('market', '').lower()
    
    # Target exact outcome props
    if ev >= 4.0 and ('method' in market or 'round' in market):
        print(f"🥊 [OCTAGON PROP] {prop['match_name']}")
        print(f"   Outcome: {prop['target']}")
        print(f"   Book: {prop['sportsbook']} | Edge: +{ev}%\n")