TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
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Sport Lisboa e Benfica
all
2 markets
Polymarket
Limitless
consensus
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolved Sep 5, 2026
Closed: Sep 5, 4:54 PM EST
Polymarket
Description
This group covers the outcome of a Liga Portugal soccer match between CS Marítimo and Sport Lisboa e Benfica scheduled for September 5, 2026. Markets ask whether either team will win or if the match will end in a draw, with resolution based on the official match result after 90 minutes plus stoppage time.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue: Kalshi offers markets based on win margins (greater than 1.5 or 2.5 goals), while Polymarket and Limitless focus on the simple win/draw/loss outcome.Hero tip: Focus on the win/draw/loss markets if you have a directional conviction. Avoid the Kalshi markets unless you have a strong view on the magnitude of the win.Critical divergence points:
- Polymarket: Resolves to 'Yes' if CS Marítimo or Sport Lisboa e Benfica wins the match within 90 minutes plus stoppage time. Otherwise, resolves to 'No'. If the game is canceled, markets resolve to 'No'.
- Limitless: Resolves to 'YES' if the listed club wins after 90 minutes plus stoppage time. Otherwise, it will resolve to 'NO.' Draw market resolves to 'YES' if the match ends in a draw after 90 minutes plus stoppage time, otherwise 'NO'.
- Kalshi: Markets resolve 'Yes' if Madeira (Maritimo) or SL Benfica wins by *more than* 1.5 or 2.5 goals, respectively, after 90 minutes plus stoppage time.
Polymarket
This event is for the upcoming Primeira Liga game, scheduled for Saturday, September 5, 2026 between CS Marítimo and Sport Lisboa e Benfica.
Kalshi
The event determines whether Madeira wins the match by more than 2.5 or 1.5 goals, or whether SL Benfica wins by more than 1.5 or 2.5 goals, in the professional Liga Portugal game originally scheduled for September 5, 2026. The resolution is based solely on the goal difference after 90 minutes plus stoppage time, excluding extra time and penalties. Each market resolves to 'Yes' if the respective team's victory margin exceeds the stated threshold; otherwise, it resolves to 'No'. Kalshi clarifies that it is not affiliated with the governing league, and all trademarks remain the property of their respective owners.
Limitless
This market resolves to "YES" if the listed club wins after 90 minutes plus stoppage time, excluding extra time and penalty shootouts, in the match scheduled for September 5, 2026, 17:00 UTC. Otherwise, it will resolve to "NO." If the match is postponed, this market will remain open until the match has been completed. If the match is not completed as scheduled for any reason (for example, if it is abandoned, canceled, or awarded), and an official final result is recognized by the governing body or event organizers, this market will resolve based on that result. If no official final result is recognized and no make-up match is scheduled, this market will resolve "NO." Revisions to officially declared final scores made after market resolution will not be accounted for in determining the outcome.
Frequently asked questions
Prices for this market on Polymarket and Limitless can diverge due to several factors. Polymarket and Limitless can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has its own user base, trading fees, and liquidity, which can influence price discovery. Additionally, different platforms may have varying levels of information incorporated into the price, or differing opinions on the relative importance of various factors impacting the match. The volume of trading on each platform also plays a role; Polymarket has a significantly higher volume of $82,105 compared to Limitless, potentially leading to a more efficient price. These dynamics contribute to the observed price discrepancies.
