How to Make Money from Sports Betting on Valorant with Solid Research

Valorant has quickly become one of the most exciting esports to bet on, offering plenty of opportunities for those who do their research. With the right research and strategies, betting on Valorant can be highly profitable. To maximize your success, it's very important to look into player performance data and matchup analysis. Making informed bets on Valorant can be very difficult and time consuming due to the lack of statistics online. This is where having a research tool like PickFinder can help streamline your decision-making process, making it easier to spot the best betting opportunities.

Analyzing the Projections Page

Starting your sports betting research can be a bit confusing if you do not know where to start, but with the Projections Page on PickFinder, you can use multiple filtering options such as the players difference of projection and average, last 5,10, and 15 games, head to head matchups, and streak. These can help you know where to start so lets go over an example of researching 2 Valorant players. We can start by clicking on the "L10" filter to see the players with the highest hitrate percentage over their last 10 games. As seen in the image below, the player C0M shows up in first with an 80% hitrate and a streak of 5. He also has went over his line 75% of the time against the team he will be facing next, which are all very good signs, so we can click on his name to see a visual and confirm our selection.

Researching Valorant Player's Projections

Let’s break down the research process for two Valorant players, C0M and Sayf, to illustrate how you can approach your bets.

C0M:

• Recent Performance: Analyzed C0M's last 10 games and found that he went over his projected kill line in 8 out of those 10 matches, showcasing his strong form.
• Opponent-Specific Analysis: Used PickFinder to filter C0M’s performance against G2, the team he is set to face next. This provided insights into how well he’s performed against them in past encounters, having a 75% hitrate.
• Kill Consistency: Reviewed his kill consistency through a bar chart, confirming that he frequently surpasses his set lines, especially against teams similar to G2.
• Matchup Insight: Based on historical data and recent form, identified that C0M has a strong chance of exceeding his projected line against G2.

Sayf:

Using the same strategies to find C0M's projection, we did the same to find Sayf's but for inconsistencies in his first bloods.

• Performance Overview: Analyzed Sayf’s recent matches and noticed that he has struggled to consistently hit his projected line, with several games falling short.
• Hitrate Analysis: Checked his hitrate and observed that Sayf hasn’t been meeting expectations, particularly in First Blood statistics.
• Opponent Analysis: Filtered by Sayf’s upcoming opponents to see if there’s a trend in his performance against them, noting it is generally lower than expected.
• Inconsistency Highlight: The bar chart for Sayf revealed inconsistent performances, suggesting that betting on him to go under his line has a very strong chance of succeeding.