| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 2.5 goals scored | 93% | 70¢ | 99¢ | — | $263 | Trade → |
| Over 4.5 goals scored | 79% | 77¢ | 78¢ | — | $177 | Trade → |
| Over 6.5 goals scored | 46% | 42¢ | 45¢ | — | $70 | Trade → |
| Over 8.5 goals scored | 18% | 18¢ | 19¢ | — | $42 | Trade → |
| Over 5.5 goals scored | 57% | 54¢ | 57¢ | — | $22 | Trade → |
| Over 7.5 goals scored | 0% | 24¢ | 26¢ | — | $0 | Trade → |
| Over 9.5 goals scored | 0% | 2¢ | 11¢ | — | $0 | Trade → |
| Over 3.5 goals scored | 0% | 82¢ | 90¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Chicago at Utah game across specified thresholds; it matters to traders who want to express views on the combined scoring profile of both teams.
Chicago and Utah bring different stylistic and roster variables that influence scoring: pace of play, defensive matchups, and player availability can push a game toward being higher- or lower-scoring. The market offers eight discrete total-point outcomes so participants can take positions on a range of possible final score totals rather than a single over/under.
Market prices reflect the collective expectations of traders based on available information and update as new information arrives; they are signals of sentiment and should be interpreted alongside game-specific data like injuries and rest.
The market lists eight discrete total-point thresholds participants can trade on; each outcome corresponds to a different combined-score range — see the market page for the exact threshold values and labels.
The market close is listed as TBD; typically these markets close at or shortly before the official game start time or when the platform announces suspension, so check the market page for the final close time.
Most total-points markets include points scored in any official overtime periods when determining the final combined score, but you should confirm the event rules on the platform to be certain.
Late scratches and injury news materially affect expected scoring — absence of a primary scorer or key defender can lower or raise the expected total — and markets can move quickly when such updates are released.
Head-to-head history can provide context about matchup tendencies, but roster turnover, current-season form, venue, and recent pace/defensive metrics are often more predictive; prioritize recent and situation-specific data.