LSG vs RCB: How Bettors are Betting on Polymarket

The IPL clash between Lucknow Super Giants and Royal Challengers Bangalore attracted not only cricket fans but also bettors on Polymarket, one of the most popular prediction platforms in Web3. 

With thousands in volume and strong community interest, users placed their bets based on team form, past results, and star performances. 

The match, held on 27 May, ended in a thrilling win for Bangalore, with Jitesh Sharma delivering a standout performance. Let’s explore how Polymarket participants responded.

What Happened During the Match?

The game lived up to its hype. Lucknow posted a competitive total of 227 for 3 in their 20 overs, led by aggressive batting throughout the innings. 

But Royal Challengers Bangalore responded with a near-flawless chase, scoring 230 for 4 in just 18.4 overs. The match ended with Bangalore winning by six wickets and eight balls to spare.

The highlight of the game was undoubtedly Jitesh Sharma, who played a blistering knock of 85 not out from just 33 balls. 

His innings earned him the Player of the Match award and helped seal the result well before the final over. Sharma’s ability to absorb pressure and accelerate quickly turned the tide after an initially balanced contest.

This victory reinforced Bangalore’s reputation as one of the most unpredictable yet dangerous sides in the league. Their top order clicked at the right moment, and the middle order ensured there were no surprises during the chase. 

On the bowling side, RCB’s unit did well to contain Lucknow in the death overs, preventing what could have been an even higher total.

It is performances like these that make IPL not only exciting for fans but also valuable for prediction markets. 

Individual brilliance, especially in T20 formats, often plays a massive role in swinging outcomes, and traders on platforms like Polymarket are constantly watching for these game-changers.

Read more: Will There Be Bets on Arabella Stanton's Harry Potter Role 

How Polymarket Reacted Before and After the Match

Before the match began, the betting volumes on Polymarket showed near balance between both teams. 

The moneyline chart revealed a volume of over $37,000, with small lead fluctuations depending on last-minute team updates and toss results. At one point, Lucknow seemed to hold a minor edge due to their recent form and depth in batting.

Holders of Lucknow tokens were led by the user Zirell, who held a significant number of shares, suggesting strong conviction in their win. 

On the Bangalore side, the largest position belonged to Xailor. What’s interesting is that while Lucknow had more participants, the total share count was heavily skewed towards one user, while Bangalore had more evenly spread support among its top five holders.

As the match progressed, the sentiment clearly began to shift. After the halfway point of Bangalore’s innings, trading volumes started swinging towards their win, with real-time updates allowing latecomers to still enter positions or hedge their earlier bets.

Once the final ball was bowled, Polymarket automatically settled the market in favour of Bangalore. The outcome was clearly displayed with a checkmark next to the Royal Challengers Bangalore label. 

Holders of winning positions were rewarded proportionally, while others took their losses. This is the nature of decentralised prediction markets,  which are rapid reactions to events as they unfold.

One key takeaway is that Polymarket’s liquidity stayed consistent throughout, which made it easier for participants to trade in and out. 

Unlike traditional sportsbooks, where odds freeze or shift sharply, Polymarket reflects a more fluid, community-driven consensus. Bettors who acted fast during RCB’s momentum swing likely saw higher returns.

Read more: How People Bet on Arsenal vs PSG on Polymarket

What This Match Means for Prediction Market Users

The RCB vs LSG match is a clear example of how real-world sports events interact with decentralised betting tools. In this case, the market dynamics closely followed the game’s pace. 

Early buyers tried to guess based on squad strength and coin toss, while others waited for real-time momentum before jumping in.

The biggest lesson here is about timing. While some users placed bets before the match with strong conviction, others waited for indicators like powerplay performance, wicket count, and required run rate before reacting. Traders who understood the flow of a T20 chase had a distinct advantage. 

Once RCB gained the upper hand during overs 10 to 14, the price for their winning shares surged, and anyone holding them from the start saw strong returns.

It also showed the importance of standout performances. Jitesh Sharma’s aggressive knock was not predictable by stats alone, but those watching closely or following team announcements may have spotted clues early. 

As Web3 prediction tools like Polymarket evolve, sharp users are likely to rely more on in-game analytics, sentiment tracking, and even community chat for faster edge.

Another interesting aspect was user participation. While RCB had fewer large holders, the distribution was more even. 

This could mean a wider base of confident buyers, while Lucknow had heavier concentration with fewer users holding most shares. In any case, the Polymarket interface made tracking this live data easy, adding another layer of strategy.

With more IPL matches ahead and the playoffs intensifying, we can expect even more volatility in these markets. Users who build strategies around timing, player form, and live stats may outperform casual bettors.

Read more: Polymarket Traders Predict June Rate Decision

Conclusion

The IPL match between Lucknow Super Giants and Royal Challengers Bangalore was not just an on-field thriller but also a high-stakes event on Polymarket. 

From early bets to live trading and final outcome settlements, the game offered a full spectrum of prediction market activity. Jitesh Sharma’s match-winning knock provided the final push for Bangalore’s victory and rewarded many traders who timed their entries well.

For those looking to explore trading predictions or simply buy and sell tokens during live sports, Polymarket offers a unique experience. 

When you are ready to trade crypto more securely or diversify your portfolio, Bitrue is a reliable option that supports fast, easy, and safer crypto trading.

Frequently Asked Questions

1. How did Polymarket traders predict the RCB win?

Some users placed early bets on Bangalore, while others jumped in mid-game when the chase momentum clearly shifted. The market price adjusted in real-time as events unfolded.

2. What was the total volume traded for this match?

The moneyline market for RCB vs LSG recorded over $37,000 in volume, showing strong interest from users across both teams.

3. Can I still join Polymarket during live events?

Yes. Polymarket allows live trading, so you can buy or sell positions even after a match begins, based on how the event is progressing.

Investor Caution 

While the crypto hype has been exciting, remember that the crypto space can be volatile. Always conduct your research, assess your risk tolerance, and consider the long-term potential of any investment.

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