Last updated: 7 April 2026
Our Editorial Principles
All content on CricketMatchDay is created according to strict editorial standards designed to ensure statistical accuracy, editorial independence and genuine usefulness to cricket fans. Our editorial policy is built on four principles: factual accuracy verified against primary sources, independence from advertisers and affiliate partners, transparency with readers about our methods and track record, and timeliness of information with clear dating on all content.
We recognise that our previews influence financial decisions — some readers use our analysis to inform their betting. This responsibility shapes our approach to every piece of content we publish. We do not take shortcuts with statistics, present unconfirmed information as fact, or write predictions without explaining our reasoning. All previews and predictions are based on statistical analysis and first-hand cricket knowledge — never on press releases, betting operator marketing materials, "insider information" or unverified social media rumours.
How We Build Match Previews
Step 1 — Squad Intelligence Gathering
We monitor official team announcements on iplt20.com, BCCI communications, pre-match press conferences, net session reports and verified team social media accounts for the latest squad information. Playing XIs published before toss confirmation are clearly labelled "Expected XI" with a note that the confirmed XI will be updated at toss time (approximately 30 minutes before the scheduled start). We NEVER present expected XIs as confirmed squads — this distinction matters because late changes (injury, tactical switch, workload management) are common in IPL.
Step 2 — Venue Analysis
For every venue, we compile: average first-innings score across the last 3+ IPL seasons, percentage of matches won batting first vs chasing, toss win advantage percentage, pace vs spin wicket breakdown by phase (powerplay, middle, death), and dew impact data for evening matches. Venue data is sourced from ESPNcricinfo's match database and cross-referenced with IPL Official records at iplt20.com. This analysis directly shapes our prediction — Arun Jaitley Stadium in Delhi where dew heavily favours the chasing team produces a materially different preview than MA Chidambaram Stadium in Chennai where spin dominates on a wearing surface.
Step 3 — Head-to-Head Analysis
We compile the complete head-to-head record between the two teams in IPL history: total matches played, wins for each side, last 5 results, average winning margins, and notable patterns (such as one team's consistent dominance when batting first at a specific venue). Head-to-head data comes from official IPL records at iplt20.com and is verified against ESPNcricinfo for consistency. We use rolling data from the last 20 IPL meetings where available, because pre-mega-auction records involve substantially different squads.
Step 4 — Player Form Assessment
We evaluate current form using the most recent 10-15 innings rather than career averages, because T20 form cycles are short and volatile. For batsmen: runs, strike rate, boundary percentage, average by batting position. For bowlers: wickets, economy rate, dot ball percentage, death bowling economy. We also check injury updates, workload management rotation patterns, and Impact Player selection trends for each franchise.
Step 5 — Conditions Assessment
We check the match-day weather forecast using India Meteorological Department (IMD) and AccuWeather data: temperature, humidity, wind speed and direction, and critically — dew likelihood for evening matches. Dew factor is one of the most impactful variables in Indian T20 cricket — it makes the ball harder to grip for bowlers, renders the outfield faster for batting, and directly affects toss decisions and match dynamics at venues like Wankhede and Arun Jaitley Stadium.
Step 6 — Prediction Formation
Our prediction synthesises all the above data into a clear, reasoned judgement. We state our predicted winner, estimated margin range, and key reasoning. We explicitly note uncertainty factors — for example: "Toss will be decisive at this venue — if CSK bat first under lights, we favour them by 15-20 runs, but if they are asked to chase with heavy dew, this becomes a genuine 50-50." Predictions are editorial opinions, clearly labelled as such on every page.
Step 7 — Fact-Checking
Before publication, all statistics are verified against primary sources. Squad lists are checked against official team announcements and press conference quotes. Head-to-head records are cross-referenced between iplt20.com and ESPNcricinfo. Venue data is validated against the most recent available season records.
Step 8 — Publication and Updates
The preview is published with the author's byline (Ananya Sharma), publication date and last-updated timestamp. Content is updated if: squad changes are announced before the toss, the toss result changes our analysis, or the weather forecast shifts materially. Post-match: a result banner is added immediately, and the prediction outcome (correct/incorrect) is recorded in our Prediction Track Record.
Sources and Verification
We verify information exclusively from the following primary sources: squad lists from official team social media, BCCI communications and IPL press releases; match statistics from ESPNcricinfo (career stats, head-to-head records, venue history); IPL tournament data from iplt20.com (points table, schedule, results); player availability from official team injury updates and press conferences; weather forecasts from India Meteorological Department (IMD) and AccuWeather; betting odds quoted from licensed bookmakers for market context — we do NOT create, calculate or manipulate odds.
We do NOT use: unattributed "insider information", social media rumours from unofficial accounts, match-fixing allegations, data from unverified or anonymous sources, or betting operator marketing materials as editorial content.
Prediction Tracking
Every prediction is tracked from publication to result. We record the date, match, predicted winner, actual winner and whether the prediction was correct or incorrect. Our current accuracy stands at 58.2% across 200+ verified match winner predictions — the full data is published at Prediction Track Record. We do NOT delete incorrect predictions or selectively report results. We do NOT claim "guaranteed tips" or "100% accuracy" — cricket contains inherent variance that no analytical model can fully eliminate. Our methodology produces a measurable edge over random prediction (50%), but does NOT guarantee profit from betting. See Responsible Gambling.
Editorial Independence
Editorial decisions are made EXCLUSIVELY based on statistical analysis and cricket expertise. No betting operator, affiliate network or advertiser can influence a prediction, squad assessment, venue analysis or match preview. Affiliate relationships and editorial content creation are strictly separated — our partnerships team and editorial team operate independently. If a betting operator were to request a "guaranteed positive prediction" as a condition of partnership, we would decline the partnership. Full details: Affiliate & Betting Disclosure.
Correction Policy
We strive for accuracy, but errors can occur — especially with fast-moving squad news during a busy IPL season with double-headers and late injury updates. If you find an error in any content, email editorial@domain.com. We review reported errors within 24 hours. If confirmed, the content is corrected, the "last updated" timestamp is changed to reflect the correction, and a note is added if the correction is substantive (e.g. a wrong head-to-head record or incorrect venue statistic). We do NOT delete content retroactively without explanation. Outdated predictions (where the match has been played) remain published with the actual result added — we do not hide incorrect predictions.
Author Standards
All CricketMatchDay writers must have verifiable experience in cricket journalism, cricket analytics or professional cricket coverage. Every preview is signed with the author's real name and linked to their author profile page. Anonymous content is never published on CricketMatchDay. Authors are required to disclose any conflicts of interest — including personal betting activity on matches they cover — and to follow all editorial standards documented on this page.