| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 62.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 68.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 71.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 74.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 77.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 65.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 80.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 83.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 59.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the first half of the Cal State Northridge vs UC Irvine game. It matters because first-half totals isolate the opening-game dynamics — pace, starting lineups, and early-game strategies — which differ from full-game markets.
Cal State Northridge and UC Irvine are conference opponents whose matchups often reflect coaching matchups and tempo differences. First-half scoring can be influenced by recent roster changes, short-term injuries, and whether either team prefers an early defensive posture or a fast offensive start. Historical head-to-heads and season-long pace and shooting trends provide useful context but can change from game to game.
Market prices on this platform summarize how traders collectively assess the likely first-half scoring outcome; they move as new information (injuries, starting lineups, public bets) arrives. Use prices as a real-time signal to compare against your own read of pace, personnel, and game context.
The exact close time is set on the KALSHI market page for this event; markets of this type typically close at or just before the official start of the first half or tip-off. If a start time changes, the platform will update the market status.
Each outcome corresponds to a specific first-half total range or line set by the market (check the KALSHI listing for the exact thresholds). A given outcome resolves as winning if the actual first-half combined score falls into that outcome’s defined range at halftime.
Recent head-to-head first-half results can highlight matchup tendencies (e.g., one team jumping early), but sample sizes are small. Combine head-to-head trends with current-season pace, roster status, and recent form for a more reliable read.
Specific items that matter most are confirmed starters, minutes projections for each team’s primary scorers, and any injury or illness reports issued before tip-off. Late confirmations of a key shooter or defensive stopper can materially change first-half expectations.
Announcements such as late scratchings, starting lineup reveals, or official delays can move prices quickly. Once the game starts, early substitutions, quick foul trouble, or ejections that alter rotations and pace will drive price adjustments and can change the likeliest outcome for the first half.