def METHOD_NAME():
    # Register the bot to the framework
    def _make_my_a2c_bot(name, env_size=11):
        return A2CAgent(name=name,
                        env_conf=EnvConf(size=env_size),
                        scripted_func=a2c_scripted_actions,
                        filename=model_filename)
    botbowl.register_bot('my-a2c-bot', _make_my_a2c_bot)
    # Load configurations, rules, arena and teams
    config = botbowl.load_config("bot-bowl")
    config.competition_mode = False
    config.pathfinding_enabled = False
    ruleset = botbowl.load_rule_set(config.ruleset)
    arena = botbowl.load_arena(config.arena)
    home = botbowl.load_team_by_filename("human", ruleset)
    away = botbowl.load_team_by_filename("human", ruleset)
    config.competition_mode = False
    config.debug_mode = False
    # Play 10 games
    wins = 0
    draws = 0
    n = 10
    is_home = True
    tds_away = 0
    tds_home = 0
    for i in range(n):
        if is_home:
            away_agent = botbowl.make_bot('random')
            home_agent = botbowl.make_bot('my-a2c-bot')
        else:
            away_agent = botbowl.make_bot('my-a2c-bot')
            home_agent = botbowl.make_bot("random")
        game = botbowl.Game(i, home, away, home_agent, away_agent, config, arena=arena, ruleset=ruleset)
        game.config.fast_mode = True
        print("Starting game", (i+1))
        game.init()
        print("Game is over")
        winner = game.get_winner()
        if winner is None:
            draws += 1
        elif winner == home_agent and is_home:
            wins += 1
        elif winner == away_agent and not is_home:
            wins += 1
        tds_home += game.get_agent_team(home_agent).state.score
        tds_away += game.get_agent_team(away_agent).state.score
    print(f"Home/Draws/Away: {wins}/{draws}/{n-wins-draws}")
    print(f"Home TDs per game: {tds_home/n}")
    print(f"Away TDs per game: {tds_away/n}")