Opens compact match cards with projected score, simulated probabilities, book prices, and the main betting outlook for each game.
Use it when you want the quickest read on a match before digging deeper.
Shows projected team and match totals such as goals, corners, shots, shots on target, and other core game stats.
Use it to understand the expected game environment and which markets fit the matchup.
Breaks down player-level simulated outcomes for stats like goals, shots, shots on target, passes, tackles, and cards.
Use it for player props and to find players who project well in the matchup.
Combines the day's major model signals into one table-based view so you can compare games quickly across the slate.
Use it when you want to scan the full day and shortlist the games worth researching.
Shows DataGaffer's overall team ratings, giving you a clean way to compare team quality across leagues and matchups.
Use it to see which teams are stronger before judging odds or form.
Compares the ratings of teams playing each other so you can see the strength gap in a specific fixture.
Use it to spot mismatches or games where the market may be underrating a side.
Shows team indexes that turn different performance categories into easier-to-read scores.
Use it to understand how a team plays, not just how strong they are.
Shows a few automatically selected matches from the slate, such as highest score, highest BTTS, highest corners, highest shots, highest shots on target, highest win probability, highest first-half goals, or highest pace.
Use the dropdown on each card to switch the highlight type, then click the matchup to open the full match page.
Grades how each team's style matches up against the opponent, including tempo, pressure, attacking profile, and defensive profile.
Use it to understand why a game may play open, slow, aggressive, or one-sided.
Shows how open and attacking a matchup is expected to be, then compares that profile to similar historical games for goals, corners, and shots on target.
Use it to see which markets the matchup environment supports before checking the odds. Positive numbers mean similar games finished above baseline; negative numbers mean they finished below baseline.
Compares expected goals to actual results so you can see which teams may be finishing above or below their true chance quality.
Use it to identify teams due for better or worse results than recent scores suggest.
Shows how the match is expected to flow, including pressure timeline, goal distribution, shot patterns, and heat map-style matchup visuals.
Use it to understand when and where the game is most likely to be controlled.
Shows previous meetings and matchup history between the two teams.
Use it as context, especially when teams have a clear recurring pattern against each other.
Shows the most likely scorelines and the distribution of possible final scores.
Use it to understand the most realistic match scripts, even if you are not betting correct score.
Highlights recent team patterns, form signals, and repeated outcomes that may matter for the matchup.
Use it to confirm whether the model's projection matches recent team behavior.
Shows deeper expected-goals stats for and against each team.
Use it to check whether a team's results are backed by chance quality or just recent finishing variance.
Compares DataGaffer probabilities against bookmaker prices to show where a market may be mispriced.
Use it to find bets where the model probability is stronger than the odds imply.
Turns model probabilities into Fair odds and makes probability easier to compare across markets.
Use it when you want to understand the real percentage behind a bet.
Ranks the strongest edges from the slate so you can see the best model-vs-market differences first.
Use it as a starting point for building your daily betting shortlist.
Helps you build parlays while keeping track of probability, value, and how the legs fit together.
Use it to avoid stacking legs blindly and to build parlays with cleaner logic.
Shows organized betting market data used for comparing books, prices, and movement.
Use it when you want to inspect the market numbers directly.
Displays statistical plots and visual trends for teams and matchups.
Use it when you want a visual read instead of scanning tables.
Shows the underlying team-level data behind the projections and analysis pages.
Use it when you want to research one team in more detail.
Shows referee-related data such as cards, fouls, penalties, or other match-control tendencies when available.
Use it to add context for card markets and physical matchups.
Lets you search the current slate by team name and jump straight to that match page.
Use it when you already know the game you want to research.
The left and right arrows move between yesterday, today, tomorrow, and the day after tomorrow.
Use it to review past matches or prepare for upcoming slates.
Each matchup card opens a full match page with team ratings, simulations, form, head-to-head info, projected stats, player tables, charts, and radar views.
Use it as the main deep-dive page for a specific fixture.
Explains the meaning behind DataGaffer's rating and index systems.
Use it when you want to understand how to read team strength and style scores.
Explains what DataGaffer is and how the platform is built to help football bettors.
Shows model tracking and performance information.
Opens an email to DataGaffer support for questions, account help, or subscriber feedback.
Returns you to this guide whenever you need a reminder of what each dashboard button means.