MMA · ARENA SIM

Cage Monte Carlo

Pick a bout from your upcoming card JSON, or type odds manually. Market fair uses two-way de-vig. Cinema upset slides probability toward the underdog — maxed out, the dog wins ~97% of sims (pure spectacle: not a betting model). Method (KO/TKO · Sub · Dec) still spins from your style priors.

MMA sim is free. Premium picks & +EV board — $29/mo (7-day trial) · Lifetime $249.99

Upcoming card

Edit /data/mma-featured-event.json — use a fights[] array for a full card (see sample). Load reloads from disk on deploy.

Run a batch, then we spotlight one random finish from the distribution.
?
Red corner
Fighter A
VS
Load a card
?
Blue corner
Fighter B

Odds & names

Cinema upset (underdog boost)

Underdog = lower implied win % from the posted moneylines. At 100%, sim uses ~97% win rate for that side (chalk gets starched every time).

Drama 0 % toward dog

Method priors (win-conditional)

Weights per corner — auto-normalized to sum to 1.

Run Monte Carlo

Market P(red)
Sim P(red)
Dog side
Fair red ML
Fair blue ML

Full card sim (all bouts)

Each iteration simulates every bout on the loaded card (main + prelims). See also MMA DK lab.

CourtEdge does not claim this replaces fight IQ, tape, or injury news. “Cinema upset” is intentionally biased fiction for fun streams and visuals — keep the slider at 0 when you want honest de-vig math.