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Houston at Chicago: Points

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
21
Markets
34

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Yes Ask
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Prev Close
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Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (34)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Amen Thompson: 25+ 0%
$0 Trade →
Alperen Sengun: 15+ 0%
$0 Resolved
Tari Eason: 15+ 0%
$0 Trade →
Alperen Sengun: 20+ 0%
$0 Resolved
Josh Giddey: 15+ 0%
$0 Trade →
Reed Sheppard: 15+ 0%
$0 Trade →
Jabari Smith Jr.: 15+ 0%
$0 Trade →
Alperen Sengun: 25+ 0%
$0 Resolved
Reed Sheppard: 10+ 0%
$0 Resolved
Jabari Smith Jr.: 25+ 0%
$0 Trade →
Matas Buzelis: 30+ 0%
$0 Trade →
Tari Eason: 10+ 0%
$0 Trade →
Amen Thompson: 15+ 0%
$0 Resolved
Kevin Durant: 15+ 0%
$0 Resolved
Reed Sheppard: 20+ 0%
$0 Trade →
Josh Giddey: 30+ 0%
$0 Trade →
Tari Eason: 20+ 0%
$0 Trade →
Matas Buzelis: 20+ 0%
$0 Trade →
Josh Giddey: 25+ 0%
$0 Trade →
Amen Thompson: 30+ 0%
$0 Trade →
Amen Thompson: 20+ 0%
$0 Trade →
Jabari Smith Jr.: 20+ 0%
$0 Trade →
Kevin Durant: 35+ 0%
$0 Trade →
Alperen Sengun: 30+ 0%
$0 Resolved
Kevin Durant: 30+ 0%
$0 Resolved
Alperen Sengun: 10+ 0%
$0 Resolved
Matas Buzelis: 10+ 0%
$0 Resolved
Kevin Durant: 20+ 0%
$0 Resolved
Josh Giddey: 20+ 0%
$0 Trade →
Matas Buzelis: 25+ 0%
$0 Trade →
Reed Sheppard: 25+ 0%
$0 Trade →
Jabari Smith Jr.: 10+ 0%
$0 Trade →
Matas Buzelis: 15+ 0%
$0 Resolved
Kevin Durant: 25+ 0%
$0 Resolved

About This Market

This market asks participants to predict a points-related outcome for the Houston at Chicago matchup (see the market description to confirm whether it is a team score or a combined total). It matters because it aggregates public views about how many points will be scored and creates tradable positions on different point ranges; the market currently lists 34 distinct outcomes and the close time is listed as TBD.

Context for this market includes the matchup-specific factors that drive scoring — home-court effects, recent offensive/defensive form for both teams, and any roster or coaching changes since their last meetings. Historical head-to-head results and the phase of the season (early season, midseason stretch, playoffs) can change typical scoring patterns, so always check current schedules and team reports before trading.

Market prices reflect the consensus view of traders and will move as new information arrives; use those prices as a real-time indication of how the market is valuing different point outcomes while supplementing them with your own scouting and data.

Key Factors

Frequently Asked Questions

What exactly determines how this 'Houston at Chicago: Points' market will resolve?

Resolution is governed by the market's settlement rules: they specify whether the market measures a single team’s points or a combined total, whether overtime counts, and which official box score/time is used. Always read the market description and settlement terms before trading.

When does this market close and how will the closing time affect my ability to trade?

The close time is listed as TBD; markets like this often close at or shortly before scheduled game start, but could close earlier for operational reasons. Monitor the market page for an announced close time because trades after close will not be accepted and last-minute news can move prices rapidly before closure.

How should late injury reports or lineup changes for Houston or Chicago influence how I approach this market?

Late injuries or rotations can materially change expected scoring: check official injury reports, expected starters, and minute projections. If you receive actionable new information, consider its impact on pace and target scorers and act promptly since markets typically price that information quickly.

How useful are historical head-to-head and recent scoring trends when assessing this market?

Head-to-head and recent form provide context but must be weighted against roster and coaching changes; focus on underlying metrics — pace, offensive/defensive efficiency, and recent lineup performance — rather than raw win/loss or point totals, and account for small-sample variability.

There are 34 outcomes available — how should I decide which point-range outcome to trade?

Choose outcomes based on the granularity of information you have and how much variance you expect in the game. Favor ranges that align with your view of likely game scripts (fast vs. slow pace, expected starters) and size positions appropriately for the tick size and liquidity; review settlement rules and bankroll limits before entering adjacent buckets.

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