TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Dallas vs Portland: Spread
kalshi

Dallas vs Portland: Spread

Volume:
$201,955

Dallas wins by over 4.5 points

 - Kalshi

Dallas wins by over 4.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 14, 2026

Closed: Jun 13, 10:54 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Dallas wins by over 4.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$118,418
N/A
N/A
$46,778
Settled
No
kalshi

Portland wins by over 1.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$34,420
N/A
N/A
$19,481
Settled
No
kalshi

Portland wins by over 5.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$20,529
N/A
N/A
$9,089
Settled
No
kalshi

Dallas wins by over 12.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$13,926
N/A
N/A
$13,690
Settled
No
kalshi

Portland wins by over 9.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$7,560
N/A
N/A
$6,559
Settled
No
kalshi

Dallas wins by over 8.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$4,957
N/A
N/A
$3,872
Settled
No
kalshi

Dallas wins by over 16.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$2,145
N/A
N/A
$1,967
Settled
No
Total markets: 7

Description

This market evaluates the final margin of victory in the Dallas vs Portland women's professional basketball game on June 13, 2026. Bettors predict whether Dallas will win by a certain margin, Portland will win by a certain margin, or neither team will achieve the specified victory threshold.

Kalshi

The Dallas vs Portland women's professional basketball game scheduled for June 13, 2026 will resolve based on the final point differential between the teams. Markets are structured to capture Dallas victories across multiple margin thresholds (4.5, 8.5, 12.5, and 16.5 points) as well as Portland victories across comparable thresholds (1.5, 5.5, and 9.5 points). Each market operates independently, resolving to Yes if the specified team achieves a victory margin exceeding the stated point differential. The asymmetrical thresholds reflect different betting preferences and probability distributions for each team's potential winning margins.

Frequently asked questions

The dashboard on Kalshi tracks real-time pricing and trading activity for the Dallas vs Portland spread market. It displays current odds reflecting trader sentiment on the point spread between these two teams, along with 24-hour volume of $198,878 and historical price movements. This live data helps traders monitor how the market is repricing the spread as game conditions, injury reports, and other factors evolve. The interface shows bid-ask spreads and recent trade history, giving participants transparency into liquidity and consensus expectations.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets like this one are driven by traders seeking profit through accurate forecasting. Prediction markets can sometimes price outcomes more efficiently than traditional sportsbooks because traders have direct financial exposure and no house edge to protect. Comparing this market's odds to major sportsbook lines offers insight into where informed traders believe the true probability lies relative to public betting sentiment.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell contracts reflecting their belief about the spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract fluctuates based on supply and demand, with the current market price visible as a spread between the best bid and ask. Traders can place limit or market orders to enter or exit positions, and the platform matches buyers and sellers in real time. This transparent pricing model allows participants to see exactly what others are willing to pay or accept for exposure to the spread.

This market resolves around Jun 14, 2026, once the Dallas vs Portland game concludes and the final spread is verifiable from credible public sources. The outcome is determined by comparing the official final score to the spread specified in the market. Traders holding contracts aligned with the actual result receive their payout, while those on the wrong side of the spread realize a loss. Resolution typically occurs within hours of game completion, after scores are confirmed and any official reviews or corrections are finalized.

Key injury announcements, roster changes, or coaching decisions can shift trader expectations significantly. Weather conditions, travel delays, or venue-related factors may also influence perceived team performance and thus the spread. Betting line movements at major sportsbooks often signal sharp money and can prompt repricing here as well-informed traders react. Team performance in recent games, head-to-head matchup history, and real-time game flow once play begins will all drive active trading. Breaking news about player availability or team strategy adjustments typically triggers rapid price adjustments as new information reaches the market.