| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 70.5 1H points scored | 0% | 43¢ | 49¢ | — | $0 | Trade → |
| Over 64.5 1H points scored | 0% | 59¢ | 83¢ | — | $0 | Trade → |
| Over 82.5 1H points scored | 0% | 0¢ | 58¢ | — | $0 | Trade → |
| Over 76.5 1H points scored | 0% | 14¢ | 35¢ | — | $0 | Trade → |
| Over 73.5 1H points scored | 0% | 22¢ | 45¢ | — | $0 | Trade → |
| Over 67.5 1H points scored | 0% | 47¢ | 72¢ | — | $0 | Trade → |
| Over 58.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 79.5 1H points scored | 0% | 5¢ | 26¢ | — | $0 | Trade → |
| Over 61.5 1H points scored | 0% | 69¢ | 90¢ | — | $0 | Trade → |
This market asks which of several discrete ranges the combined points scored in the first half of the Purdue vs Northwestern game will fall into. It matters because it isolates early-game scoring behavior, letting traders express views about pace, defense, and game-start strategies independent of the final result.
Purdue and Northwestern are conference opponents whose early-game scoring can be shaped by team tempo, offensive schemes, and matchup-specific defensive plans. Historical first-half scoring between these programs and their recent season form provide useful context, but the sport (basketball vs. football), scheduled start time, and up-to-the-minute roster news are critical to interpret that history correctly.
Prices in this market represent the market consensus about which discrete first-half total range is most likely to occur; price moves reflect new information such as lineup announcements, injuries, or heavy trading. Treat current prices as a continuously updating summary of expectations rather than fixed forecasts.
The market close time is listed as TBD; the official expiration timestamp will be posted on the market page and commonly aligns with the scheduled game start or the end of the first half. Check the exchange page for the definitive close time before placing trades.
The nine outcomes partition the range of possible combined first-half point totals into discrete buckets; one outcome will resolve true based on which bucket contains the actual first-half combined score. The market listing shows the exact numeric ranges for each outcome.
Use recent games as a guide but adjust for context: compare tempo, opponent strength, and venue; give more weight to recent matchups that feature similar lineups and conditions, and be cautious when sample sizes are small or when either team has significant roster turnover.
Late scratches and injury news can move the market quickly because they change expected scoring and rotation patterns; traders typically react immediately, so monitor official team reports and confirmed starting lineups for the fastest impact on prices.
Zero reported volume suggests liquidity may be thin and prices could be less stable; expect wider bid-ask spreads and greater price impact for larger trades. Consider smaller trade sizes, watch for initial fills to establish a market, and monitor for incoming volume or news that improves liquidity.