How we actually do things around here — no fluff, just the real rules
At IPL 2026 Predictions, editorial integrity is the foundation of everything we publish. We understand that thousands of cricket fans rely on our match previews, Dream11 tips, and statistical analysis to inform their decisions. That responsibility shapes every piece of content we create.
This editorial policy outlines exactly how we produce content, verify information, handle conflicts of interest, and correct mistakes. We believe transparency about our process is just as important as the analysis itself — it allows our readers to evaluate our work critically and hold us accountable.
This policy applies to all content published on ipl-predict.in, including match predictions, Dream11 team suggestions, pitch reports, team analysis, blog articles, and statistical breakdowns. It also applies to content we share on our Telegram channel.
All match predictions on this website are published before the toss of each match. We never retroactively modify win probability percentages or prediction outcomes after the match result is known.
Our predictions carry timestamps showing when they were first published and when they were last updated. Legitimate updates include:
We do not change our win prediction or Dream11 team after the toss. If we were wrong, we own it. Every prediction is archived internally so we can conduct honest accuracy reviews at the end of each season.
Every match prediction on this site follows a structured three-layer methodology that combines statistical modeling with expert cricket judgment:
Our prediction model processes 40+ variables per match including: venue historical average scores, batting-first vs chasing win percentages at that ground, player form metrics (last 10 innings), head-to-head team records, individual batter-vs-bowler matchup data, powerplay and death-over performance, and weather/dew probability. The model outputs a raw win probability for each team based purely on historical data patterns.
Arjun adjusts the raw statistical output with qualitative intelligence that models cannot capture: how the pitch has changed through the tournament based on his on-ground visits, unannounced injury concerns gathered from press conferences, team tactical trends observed in recent matches, player body language and fitness cues, and curator behavior patterns at specific venues. These adjustments typically shift win probabilities by 5-15 percentage points.
Priya translates the combined analysis into actionable Dream11 recommendations. She factors in player credit values, expected ownership percentages, matchup-specific upside potential, and platform-specific scoring rules to recommend captain/vice-captain choices, must-have players, and high-value differential picks that can separate a team from the crowd.
This layered approach means our predictions are never based on gut feeling alone or algorithms alone. The combination of data science and cricket expertise is what gives our analysis depth and reliability.
Every piece of content on this site goes through a verification process before publication:
We do not publish unverified rumors, anonymous insider tips, or speculation presented as fact. When we reference insider information or unconfirmed reports, they are clearly labeled as such with appropriate caveats.
Our prediction model relies on accurate data. Here is how we ensure data quality:
Primary data sources: Ball-by-ball IPL match data from ESPNcricinfo, official IPL match reports, and BCCI scorecards form the backbone of our database. We cross-reference data from multiple sources to catch discrepancies.
Data validation checks: Before each IPL season, Vikram runs validation checks on our entire database — verifying match totals, player career aggregates, and venue averages against official records. Any discrepancy is investigated and corrected before the season begins.
Real-time data updates: During the season, match results and updated player statistics are added to our database within 24 hours of each match. This ensures our model always has the most current form data when generating predictions.
Model backtesting: Before each season, we backtest our updated prediction model against historical IPL data to verify it produces reasonable accuracy. We also compare the model's output against a simple baseline (picking the home team or the higher-ranked team) to confirm our model adds genuine predictive value.
Our analysis draws on the following sources:
IPL 2026 Predictions is editorially independent. We have no affiliation, sponsorship, or financial relationship with any of the following:
If any potential conflict of interest arises — for example, if one of our analysts has a personal connection to a player or franchise — we will disclose it at the top of the relevant article. To date, no such conflicts have arisen.
This website earns revenue through affiliate links to betting and fantasy cricket platforms. These links are clearly marked with rel="nofollow sponsored" in the HTML source.
How affiliate links work on this site: Certain call-to-action buttons on our match prediction and Dream11 pages link to third-party platforms. When a user clicks these links and registers or makes a deposit, we may earn a commission. This commission comes from the platform, not from the user — it costs our readers nothing extra.
Our commercial relationships do not influence:
We maintain a strict separation between our editorial analysis and revenue generation. The same predictions go to our Telegram followers (who click no affiliate links) and website visitors. Our content would be exactly the same if we had zero affiliate partnerships — the analysis drives the content, not the revenue model.
We follow a structured content schedule during the IPL season:
All pages display a "last updated" timestamp so readers can assess the freshness of information. During the off-season, content is updated less frequently but we maintain articles with evergreen value such as venue guides and historical analysis.
We strive for accuracy but acknowledge mistakes happen. When we discover an error:
If you spot an error on any page, please contact us at [email protected] or via our Telegram channel. We take every correction report seriously and aim to address factual errors within 24 hours of notification.
All content on this site is attributed to one of our three named analysts. We believe readers deserve to know who wrote what they are reading and what qualifies that person to write it:
We do not publish anonymous content or content attributed to generic bylines. Every article has a named author whose expertise and credentials are publicly available on our About page and Analysts page.
We believe in responsible consumption of sports predictions:
If you or someone you know has a gambling problem, please contact the national helpline at 1800-599-0019 (toll-free, available 24/7).
If you have questions about our editorial standards, want to report an error, or have concerns about any content on this site, please reach out:
This editorial policy was last reviewed and updated on March 16, 2026. We review and update this policy before each IPL season to ensure it reflects our current practices.