| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Tie | 0% | 0¢ | 11¢ | — | $0 | Trade → |
| California Baptist | 0% | 57¢ | 71¢ | — | $0 | Trade → |
| Southern Utah | 0% | 25¢ | 39¢ | — | $0 | Trade → |
This market asks which team will be leading at halftime in the California Baptist vs Southern Utah game; it matters because first-half dynamics (tempo, rotations, early foul trouble) can produce different outcomes than the final result.
California Baptist (Lancers) and Southern Utah (Thunderbirds) are NCAA programs with differing styles, roster compositions, and recent form that will shape the opening 20 minutes. First-half outcomes are influenced by who starts, early matchups, and game pace rather than second-half adjustments or bench-heavy finishes.
Prices in this market summarize how traders are valuing the chances of each of the three listed outcomes (team A leads, team B leads, or a halftime tie), and shifts in price reflect new information being incorporated by the market.
The market offers three mutually exclusive outcomes: California Baptist leads at halftime, Southern Utah leads at halftime, or the score is tied at halftime; settlement is based on the official halftime score recorded by the game’s official statistics provider.
The platform sets the market close time, which is typically shortly before game start to prevent trading on in-play information; check the market page for the precise close time because trades cannot be placed after closure and last-minute news will not be reflected after that point.
Last-minute lineup or injury news can materially change first-half expectations because starters determine early matchups and minutes; if trading is open when that news appears, prices should adjust to reflect the new information.
Because this market includes a tie outcome, a tied score at official halftime results in the tie outcome resolving as the winner; always confirm that settlement follows the official halftime score reported by the league.
Relevant data include recent head-to-head first-half margins, each team’s typical first-half scoring and defensive efficiency, home/away splits, and any pattern of fast starts or slow openings; be cautious with small sample sizes, as single-game variance can be large.