Feature Guide | KickQuant

All Games: Turn your daily schedule into a filterable pool of opportunities

There are a large number of football matches every day. The real problem is not that the matches cannot be found, but that it is difficult to determine which matches have price, handicap, data, and model signals. The All Matches page is responsible for first entering the 300+ events and cup matches into a unified match pool, and then filtering by date, league, start window, price range and analysis section.

Here users can decide which games to watch today, which leagues to skip for now, and which markets have available price. Matches with no price, no model confirmation or insufficient data quality will not be packaged as recommendations.

Solve the problem: Reduce invalid browsing · Decision: Choose the competition worthy of entering the details page

Member Research: See How Candidates Are Verified by Real Market Prices

Every supported market can generate research records independently. The model first freezes the selection and model reference price, then monitors the specified market. A record is marked triggered only when a verified data-source price reaches the threshold, preserving source, time, price, and later higher valid observed prices.

Members can filter monitoring, triggered, and untriggered records by date, market, and status, then review the full trail on the match page. For an unsettled market, select Remind me to bind a KickQuant account notification; a private alert is sent only when the first verified record price is reached. Candidates below the threshold stay marked as Not Triggered and are excluded from member performance statistics.

Problem solved: Separate model preference from a real value trigger · Decision: Determine whether the price condition is met

Performance: Hit Rate, Backtest Metrics, and Maximum Drawdown Together

Hit rate alone can mislead: low-price, high-hit profiles can still perform poorly over time, while high-price, lower-hit profiles can still be positive. The Performance page separates 18 analysis categories and shows hit rate, backtest metric, maximum drawdown, sample size, average price, and price range.

Users can switch between daily, weekly, and monthly views to distinguish short-term fluctuation, sustained performance, and markets still under sample review. Only genuinely triggered and settled member research records enter member performance statistics.

Problem Solving: Avoid looking only at winning percentage · Decision-making: Determine whether a sector is worthy of long-term attention

Tools: Turn Probabilities and Prices into Comparable Risk Parameters

Even when a record meets research conditions, risk still matters. The probability parameter calculator, scenario calculator, price-format converter, and risk-exposure planner cover unit sizing, combined risk, price formats, and period capacity. Free users can use each tool once per week; members can use them without limits.

Use the tools to check whether current market data remain above the model threshold, single-match exposure is excessive, combinations amplify volatility, and the plan can withstand a sequence of adverse results.

Problem solved: Turn judgment into measurable discipline · Decision: Risk unit, combination structure, and exposure limit

Content portal: Let users and search systems understand the boundaries of each market

KickQuant does not describe every market as the same kind of analysis. 1X2, Asian Handicap, totals, BTTS, correct score, corners, cards, first goal, and combination filters all have different price structures, sample volatility, and settlement rules. The content entry points explain why these markets exist, who they suit, and which metrics should be reviewed.

These pages also support SEO and GEO: search engines can understand KickQuant's football-analysis coverage, and AI summary systems can identify that the focus is research conditions, backtest metrics, price ranges, risk notices, and long-term review rather than single-match slogans.

Problem solving: Reduce the cost of understanding · Decision-making: Choose the analysis sector that suits you

Single game details: complete pre-match judgment and post-match review on the same page

A single game page carries the complete context of a game: schedule, team, league, price, price, current situation, H2H, lineup, injuries, model analysis status and post-match settlement. Users don't need to switch between multiple sites or see just one isolated direction.

This page helps users assess whether a model candidate has met its price condition, whether risk comes from lineup or market-structure changes, and whether public probabilities and member research records form consistent evidence.

Problem solving: information dispersion · Decision-making: whether to enter, wait, or abandon the game

Leagues and Teams: Extending from Single-Game Analysis to Long-term Tracking

The league page focuses on the season, standings, schedule, recent results, future games and analysed performance under the league; the team page focuses on team information, home court, recent status, future games, published analysis records and common handicap performance. Cups will additionally display group standings or knockout paths.

From a league or team view, users can assess whether it deserves long-term attention, whether model performance is stable in that league, and which independent markets have stronger recent historical samples.

Solve the problem: the single-field perspective is too short · Decision-making: build a long-term focus list