| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Peter Makk | 46% | 46¢ | 49¢ | — | $36 | Trade → |
| Philip Henning | 0% | 50¢ | 54¢ | — | $0 | Trade → |
This prediction market is on the outcome of the sporting matchup titled "Makk vs Henning" on KALSHI. It matters because the market aggregates bettors' information and reactions to pre-fight developments, offering a public snapshot of expectations for which competitor will win.
Makk and Henning are the named competitors in a head-to-head contest; details such as sport, venue, rules, and official date may be provided by the promoter or KALSHI listing as they are finalized. Total volume traded so far is $36, which indicates early-stage market activity — liquidity and interest can change as official announcements, weigh-ins, and media coverage arrive.
Prediction market odds summarize the balance of money and belief in each outcome and update as new information appears; they are not official results or forecasts from the organizers. Use market prices alongside independent reporting (fight cards, medicals, commissions) to form your view.
The market close is listed as TBD; KALSHI will publish the official close time on the event page and in platform notifications once scheduled. Trades cannot be placed after the market closes.
The market offers two mutually exclusive outcomes corresponding to which named competitor is declared the winner (Makk or Henning); the market settles to the officially reported result by the designated authority.
Settlement in case of cancellation or no-contest follows KALSHI's published rules for voided events or force majeure; check the platform's settlement policy and event notes for the definitive procedure and timeline.
Monitor official fight announcements, weigh-in outcomes, medical and commission statements, team pressers, credible injury reports, and reputable independent media coverage for late developments that could affect the matchup.
If they have fought previously, those results inform expectations but should be considered alongside recent form, changes in training, and context (e.g., different weight class or time elapsed), since more recent and relevant data typically has greater predictive value.