| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 148.5 points scored | 57% | 57¢ | 58¢ | — | $59K | Trade → |
| Over 151.5 points scored | 48% | 48¢ | 50¢ | — | $44K | Trade → |
| Over 154.5 points scored | 42% | 42¢ | 44¢ | — | $1K | Trade → |
| Over 160.5 points scored | 26% | 24¢ | 30¢ | — | $65 | Trade → |
| Over 136.5 points scored | 85% | 77¢ | 83¢ | — | $42 | Trade → |
| Over 157.5 points scored | 32% | 31¢ | 36¢ | — | $42 | Trade → |
| Over 139.5 points scored | 77% | 72¢ | 77¢ | — | $20 | Trade → |
| Over 142.5 points scored | 0% | 66¢ | 70¢ | — | $0 | Trade → |
| Over 163.5 points scored | 0% | 19¢ | 25¢ | — | $0 | Trade → |
| Over 145.5 points scored | 0% | 59¢ | 64¢ | — | $0 | Trade → |
| Over 166.5 points scored | 0% | 13¢ | 20¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Kansas at Arizona St. game, letting traders buy outcomes tied to different scoring ranges. Totals markets matter because they aggregate expectations about pace, scoring efficiency, and game conditions into tradable prices.
Kansas and Arizona State bring distinct offensive and defensive profiles that shape scoring expectations; recent seasons, coaching changes, and roster turnover at both programs influence how they match up. Venue, injury reports, and recent form (offensive tempo and defensive efficiency) provide context for expected scoring, while conference schedules and travel can also affect game pace and readiness.
In a totals market, each outcome corresponds to a range or threshold for combined team points; market prices reflect collective expectations and update as new information (injuries, weather, lineups) arrives. Traders use those prices to express views on whether the actual total will fall into a given bucket compared with other participants.
The listing shows the close time as TBD; typically totals markets on this platform close at or just before kickoff to allow settlement on the final combined score. Check the market page for platform-updated closure times and any changes due to scheduling.
The 11 outcomes are discrete score-range buckets or thresholds that partition all possible combined game totals; after the final score is official, the platform resolves the market by selecting the bucket that contains that combined points total according to its published resolution rules.
Late injuries to primary scorers or to key defenders can materially shift expected scoring; if a starting quarterback or top receiver is ruled out, markets often move toward lower totals, while a surprise return or backup with high-scoring upside can push totals higher. Monitor official team reports and inactives before placing trades.
Historical matchups can show tendencies (e.g., whether games between these programs have been high- or low-scoring), but relevance depends on recency, roster continuity, and coaching. Use historical scoring as one input alongside current-season offensive/defensive metrics and roster changes.
A higher total volume indicates more participant interest and generally better liquidity, which can tighten spreads and make executions easier; however, with 11 discrete outcomes, liquidity per outcome may vary, so expect deeper prices on more commonly traded buckets and wider spreads on niche ranges.