| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Orlando over 111.5 points scored | 52% | 46¢ | 53¢ | — | $950 | Trade → |
| Orlando over 108.5 points scored | 70% | 26¢ | 63¢ | — | $34 | Trade → |
| Milwaukee over 101.5 points scored | 70% | 29¢ | 65¢ | — | $34 | Trade → |
| Orlando over 120.5 points scored | 0% | 2¢ | 30¢ | — | $0 | Trade → |
| Orlando over 117.5 points scored | 0% | 3¢ | 35¢ | — | $0 | Trade → |
| Milwaukee over 104.5 points scored | 0% | 15¢ | 91¢ | — | $0 | Trade → |
| Milwaukee over 107.5 points scored | 0% | 6¢ | 52¢ | — | $0 | Trade → |
| Orlando over 105.5 points scored | 0% | 27¢ | 77¢ | — | $0 | Trade → |
| Milwaukee over 110.5 points scored | 0% | 2¢ | 43¢ | — | $0 | Trade → |
| Milwaukee over 98.5 points scored | 0% | 49¢ | 97¢ | — | $0 | Trade → |
| Orlando over 114.5 points scored | 0% | 5¢ | 81¢ | — | $0 | Trade → |
| Orlando over 102.5 points scored | 0% | 42¢ | 98¢ | — | $0 | Trade → |
| Orlando over 99.5 points scored | 0% | 49¢ | 100¢ | — | $0 | Trade → |
| Orlando over 123.5 points scored | 0% | 0¢ | 27¢ | — | $0 | Trade → |
| Milwaukee over 122.5 points scored | 0% | 0¢ | 45¢ | — | $0 | Trade → |
| Milwaukee over 119.5 points scored | 0% | 0¢ | 27¢ | — | $0 | Trade → |
| Milwaukee over 116.5 points scored | 0% | 2¢ | 24¢ | — | $0 | Trade → |
| Milwaukee over 113.5 points scored | 0% | 3¢ | 29¢ | — | $0 | Trade → |
This market offers trades on the team scoring totals for the Orlando at Milwaukee game, letting traders express views on how many points each team will score. It matters because team totals reflect expectations about pace, rotations, and key player availability for a single matchup.
Orlando and Milwaukee have different offensive identities and roster constructions—one often relying on perimeter creation and role-player shooting, the other typically centered around primary scorers and interior play—which can make their team totals sensitive to matchups and minutes. Home-court, travel, recent form, and coaching rotation decisions all shape expected scoring on game day. The market lists multiple discrete outcomes (18 here) so traders can take granular views across a range of possible team totals.
Prediction market prices for team totals aggregate traders' views about likely scoring and move as new information arrives; they should be read as the market's consensus expectation for a given outcome rather than as a static forecast. Because prices update with injuries, lineup news, and betting flow, check the market up to close for the latest information.
The market close time is listed as TBD; in practice, team-total markets typically lock before game tip-off and may close earlier if the platform sets a specific cutoff or if settlement conditions change. Monitor the event page for the official close time.
The 18 outcomes correspond to distinct team-total result buckets or score thresholds offered for this matchup, allowing traders to take positions across a range of possible scoring outcomes for one or both teams; consult the market interface to see the exact thresholds or brackets for each outcome.
Late injury news typically produces rapid price movement as traders reassess expected scoring and minutes distribution; major changes to a starter or primary playmaker often reduce or increase a team’s market-implied total depending on the player’s scoring and playmaking role.
Look at recent head-to-head games, each team’s pace and offensive/defensive efficiency over the last several games, home/away splits, and the expected matchup advantages (e.g., wing defense vs. perimeter shooting). Also factor in announced rotations and any projected minutes for high-usage players.
Settlement rules vary by platform; many team-total markets are resolved using regulation time only unless the event description specifies otherwise. Check the KALSHI event details or market rules to confirm whether overtime points are included.