
$8.75K
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1 market tracked

No data available
| Market | Platform | Price |
|---|---|---|
![]() | Poly | 45% |
Trader mode: Actionable analysis for identifying opportunities and edge
This market will resolve to "P11 Esports" if P11 Esports win against Deacoy in the named LoL match in the LIT Regular Season, scheduled for January 16 at 12:00PM ET. This market will resolve to "Deacoy" if Deacoy win against P11 Esports in the LoL match. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The resolution source for this market will be official informat
Prediction markets are pricing in a narrow advantage for P11 Esports, with their contract trading at 57¢, implying a 57% probability of victory. This suggests the market views P11 as the favorite, but the odds indicate a highly competitive match where an upset is a very real possibility. The "Deacoy" contract trades at 43¢, reflecting a 43% implied chance. With only $9,000 in total market volume, liquidity is thin, meaning these odds can be more sensitive to new information or large bets.
The primary factor is likely recent team performance within the LIT Regular Season or other regional competitions. P11 Esports' slight favoritism suggests they may have a stronger record, more stable roster, or a historical edge in head-to-head matchups against Deacoy. In League of Legends Best-of-1 (BO1) formats, volatility is high, but consistent macro-play and draft strategy often separate favorites from underdogs. The market's pricing indicates a perceived, but not decisive, skill gap.
Another factor is the nature of a BO1 match in a regular season. Unlike a playoff series, there is less pressure for a single game, which can sometimes lead to unpredictable strategies or champion picks that favor underdog teams like Deacoy. The market's significant probability assigned to Deacoy (43%) accounts for this inherent BO1 volatility and the potential for an upset through a single superior draft or early-game snowball.
Given the match resolves in just one day, the key catalyst is any last-minute news before the January 16, 12:00 PM ET start. This includes announced roster changes, player illness, or shifts in the meta that particularly benefit one team's champion pool. In-play betting dynamics on Polymarket could also shift odds dramatically if one team gains a significant early lead in the game itself, as the market will remain open until resolution.
The thin liquidity means a relatively modest bet could move the needle. A series of bets confidently backing Deacoy could quickly push the odds toward a 50/50 split or even flip the favorite. Without deep liquidity, the current 57/43 split represents a fragile consensus that is highly susceptible to new information or capital.
AI-generated analysis based on market data. Not financial advice.
$8.75K
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This prediction market focuses on a League of Legends (LoL) professional match between P11 Esports and Deacoy, scheduled for January 16 at 12:00 PM Eastern Time. The match is a Best-of-One (BO1) game within the regular season of the Liga Latinoamérica Internacional (LIT), a premier esports league for the Latin American region. The market resolves based on the official match outcome, with specific rules for postponements or cancellations. The LIT serves as a crucial competitive platform for Latin American teams, offering a pathway to international tournaments like the Mid-Season Invitational and the World Championship. This particular match is significant as it represents a clash between established organizations within the regional ecosystem, with implications for their standings in the regular season. Interest stems from the growing global esports betting and prediction market, valued in the billions, and the passionate fanbase for Latin American League of Legends, which closely follows regional rivalries and player performances. The outcome influences team momentum, playoff seeding, and community perception.
The competitive landscape for League of Legends in Latin America has evolved significantly since the game's release in 2009. Initially, the region competed under the Latin America North (LAN) and Latin America South (LAS) servers, with separate championships. In 2019, Riot Games merged these into a unified Latin American League (LLA) to strengthen the region's competitiveness. The LIT was introduced in 2023 as a successor to the LLA, further integrating the region into the Americas circuit alongside North America's LCS and Brazil's CBLOL. This restructuring aimed to provide more consistent international competition for top teams. Historically, BO1 matches in regular seasons are known for potential upsets due to the single-game format, which places a premium on draft strategy and early-game execution. Past encounters between organizations like P11 and Deacoy, or their predecessor rosters, contribute to an ongoing rivalry narrative that fans and analysts reference. The reliability of official sources for match resolution has been established over a decade of Riot-operated esports, with platforms like LoL Esports and lolesports.com serving as the canonical record.
Beyond determining a single match winner, this prediction market reflects the maturation of esports as a tradable asset class. The ability to create liquid markets on competitive outcomes demonstrates the formalization and data integrity of professional leagues. For the teams and the LIT, each match affects brand value, sponsorship appeal, and fan engagement metrics, which have direct economic impacts on the organizations involved. For the broader esports ecosystem, the accuracy and reliability of such prediction markets depend on the stability and clear governance of the underlying competition, reinforcing the importance of Riot Games' role as an organizer. The market also matters to the growing community of esports analysts and bettors who utilize statistical models and qualitative insights to forecast results, contributing to a more engaged and knowledgeable viewership. Incorrect resolutions or disputes can undermine trust in these emerging financial instruments tied to digital sports.
As of the latest information, the match between P11 Esports and Deacoy is scheduled for January 16 at 12:00 PM ET as part of the ongoing LIT Regular Season. Both teams have played previous matches in the season, and their current win-loss records are publicly available on the official LIT standings page. The teams' most recent roster lineups, champion preferences, and performance trends are being analyzed by the esports community. The prediction market is active, with trading reflecting the perceived probabilities of each team winning based on available information. All indications are that the match will proceed as scheduled.
According to the market rules, if the game is postponed, the prediction market will remain open for trading until the game has been completed at a later date. The resolution will then be based on the outcome of that rescheduled match.
The resolution source will be official information from the tournament organizer, Riot Games, typically published on the official LoL Esports website (lolesports.com) or its associated data feeds. These are considered the canonical record for match results.
A BO1 format consists of a single game where the winner is determined by that one match. This contrasts with Best-of-Three (BO3) or Best-of-Five (BO5) series, where a team must win multiple games. BO1s are common in regular seasons and can be more unpredictable.
If the match is canceled entirely with no make-up game scheduled, the market rules specify that it will resolve 50-50. This means contracts for both 'P11 Esports' and 'Deacoy' would be settled at a value of $0.50 each, reflecting the nullification of the event.
The official standings, match schedules, and results for the Liga Latinoamérica Internacional (LIT) are published on the LoL Esports website. For advanced statistics, independent sites like Oracle's Elixir or Games of Legends aggregate detailed player and team data from the matches.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
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