TOTAL VOLUME:
$154.1b
24H VOL:
$181,481,432
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,827,991,073
405,996
Markets across
40,551
events
MATCHED EVENTS:
4,368
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 8:09 AM EST
Kalshi
This prediction group covers the Mobile Legends Bang Bang match between Bigetron by Vitality and EVOS in the MPL Indonesia Regular Season. Markets include the overall match winner, individual game winners, total games played, and a game handicap. Resolution relies on official results from Liquipedia or a consensus of credible reporting.
This market refers to the Mobile Legends Bang Bang match between Bigetron by Vitality and EVOS in the MPL Indonesia Regular Season, initially scheduled for October 17, 2026 at 6:00 AM ET. This market will resolve to "Bigetron by Vitality" if Bigetron by Vitality win the match against EVOS. This market will resolve to "EVOS" if EVOS win the match against Bigetron by Vitality. If the match is canceled (not played at all) or ends in a tie, this market will resolve to 50-50. If the match is postponed, it must be rescheduled to a start time on or before October 31, 2026 at 11:59 PM ET (14 calendar days after the originally scheduled start of October 17, 2026 at 6:00 AM ET). If, by that deadline, the most recently announced rescheduled start time is on or before the deadline, this market resolves based on the result of the match as played. Otherwise, this market resolves 50-50, regardless of whether the match is subsequently played. If the match begins but is not completed, and one team wins due to the opponent's forfeiture, disqualification, or walkover, this market will resolve to the team who wins. If the match ends in a forfeit, disqualification, or walkover (team withdraws before the start and the other wins automatically), this market will resolve to 50-50. The resolution source for this market will be official information from https://liquipedia.net/mobilelegends/Main_Page. However, if https://liquipedia.net/mobilelegends/Main_Page has not published final results within 2 hours after the event’s conclusion, a consensus of credible reporting may be used instead including video evidence. In cases where a team’s listed name includes minor discrepancies from the resolution source, this market will resolve based on the underlying real-world match rather than exact name matching. Recognizable abbreviations, alternate or erroneous spellings, sponsor tags, affiliate or academy designations, regional identifiers, and minor formatting differences will be treated as referring to the same team, provided the intended team can be clearly and uniquely identified within the relevant competition. If a listed team name has no reasonable connection to any participating team, or if it matches or could reasonably refer to another team in the same competition such that the intended team cannot be unambiguously determined, this market will resolve 50-50.
The market resolves to Yes if EVOS wins the specified match, and to No if Bigetron by Vitality wins. If the match is postponed beyond 48 hours, cancelled, or forfeited before play begins, the market resolves to the fair market price. If the match starts and is later forfeited, the result follows the official outcome declared by the tournament organizers. Kalshi disclaims any affiliation with the governing league, and all trademarks belong to their respective owners.
Prediction market odds, like those found in this market, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set odds based on their own models and aim to balance risk and profit, while prediction markets allow anyone to express their beliefs, leading to a more dynamic and potentially more accurate assessment. However, differences can arise due to factors like differing information access, biases, and market liquidity. It’s important to consider both sources when making informed predictions about the Bigetron by Vitality versus EVOS match.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Kalshi can diverge due to several factors. Each platform has its own user base, trading dynamics, and fee structure, which can influence price discovery. Additionally, the volume of trading on each platform—currently $1,092—can impact price sensitivity. While Polymarket currently favors a specific outcome, Kalshi may show a different distribution of probabilities. This isn’t necessarily a contradiction; it simply reflects the independent assessments of different groups of traders. These differences are a natural part of a decentralized prediction market ecosystem.