One clean semi-bandit round: select ten candidates, run the same benchmark for each, and observe ten directly comparable noisy scores. Comb-UCB updates every chosen candidate. The football learner still sees only one relative winner, so the two lines illustrate the value of a richer feedback channel—not an apples-to-apples algorithm race.