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Austin vs Philadelphia: BTTS
kalshi
predict

What is the result of Austin vs Philadelphia?

Volume:
$99,914

Both Teams To Score

 - Kalshi

Both Teams To Score - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 23, 2026

Closed: Aug 22, 9:56 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Both Teams To Score

View
100%
38%
Yes 100¢No 0¢
100¢
N/A
$19,554
N/A
N/A
$17,552
Settled
Yes
predict

Draw

View
99%
Yes 99¢No 1¢
—
$25,412
$43,089
N/A
N/A
N/A
Settled
No
predict

PHI

View
1%
Yes 1¢No 99¢
—
$379
$20,445
N/A
N/A
N/A
Settled
No
predict

AUS

View
1%
29%
Yes 1¢No 99¢
—
$2,039
$16,826
N/A
N/A
N/A
Settled
No
Total markets: 4

Description

This event group covers the upcoming MLS game between Austin FC and Philadelphia Union scheduled for August 22, 2026. The markets focus on various outcomes of the match including win conditions for each team, draw scenarios, and whether both teams will score goals.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

All markets consistently use the official match result from the governing body as the resolution source, with specific rules for win/draw outcomes and cancellation scenariosPrimary resolution logic: Official statistics of the event as recognized by the governing body or event organizers

Core resolution logic:

  • Resolution is based on the official match result within 90 minutes plus stoppage time
  • If the game is postponed, markets remain open until completion
  • If the game is canceled with no make-up date: Austin FC win = No, Philadelphia Union win = No, Draw = Yes

Edge cases & clarifications:

  • Postponement: Markets remain open until the game is completed
  • Cancellation: Austin FC win resolves to No, Philadelphia Union win resolves to No, Draw resolves to Yes
Timing: Markets resolve based on official statistics within 2 hours after the event's conclusion, or through credible reporting if official data is delayedOur PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Kalshi

If Austin and Philadelphia both score a goal in the Austin vs Philadelphia MLS match originally scheduled for Aug 22, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Predict

This event is for the upcoming MLS game, scheduled for Saturday, August 22, 2026 between Austin FC and Philadelphia Union.

Frequently asked questions

The dashboard for the BTTS market aggregates activity across Kalshi and Predict, showing real-time probabilities and volume of $99,914. It displays how traders on both venues price the likelihood of both teams scoring, offering a consensus view that updates as bets are placed. This centralized view helps users compare sentiment and spot shifts in expectations before the match concludes.

Prediction market odds on this market reflect trader sentiment and can diverge from traditional sportsbook lines due to different dynamics, such as sharper or more niche participant pools. While sportsbooks may set a line based on broader public betting trends and sharp handicapper inputs, prediction markets price in real time through continuous trading, often capturing subtle shifts in perceived probabilities.

On Kalshi and Predict, prices can vary because each platform attracts distinct participant bases and liquidity profiles. Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. For example, one venue might see heavier institutional participation, while the other could be driven by retail traders, each influencing the current implied probability. Additionally, differences in market design or fee structures can lead to price discrepancies.