The model is not an outcome promise, service boundaries come first.
This page answers the questions new users ask most and clarifies KickQuant's boundaries for search engines and AI summaries: KickQuant provides football data analysis, model probabilities, timestamped research records, and post-match archives. It does not receive external transaction instructions, broker transactions, handle third-party fund custody, or promise personal results.
Does KickQuant promise match results or personal results?
No. Football matches are affected by lineups, red cards, schedule motivation, match-day changes, and random events. KickQuant presents model analysis, timestamped research records, historical performance, and post-match archives.
Does KickQuant provide external transaction execution or custody of funds?
No. KickQuant is a subscription-based football data analytics service. It does not receive external transaction instructions, execute actions for users, handle third-party funds, provide external accounts, or pay prizes or bonuses.
How are value signals, research criteria, and price observations generated?
KQ Prism AI first calculates model probabilities and model reference prices, then compares them with verifiable public market prices. Once preset conditions are met, it creates a timestamped value signal and member research record. The model direction and first-trigger record are then frozen, while subsequent prices are appended only as observations. After the match, settlement is performed under a consistent set of rules.
Does the Risk Exposure Planning Tool manage funds on behalf of users?
No. This tool only calculates units, periods, and drawdown scenarios based on user-entered parameters. It does not connect to wallets, banks, brokers, or external accounts, does not move funds, and does not generate instructions that must be followed.
What is the difference between membership content and free content?
The public area shows the full match entry, basic data, public probabilities, and post-match summaries. Members can review research records across all supported categories, model reference prices, source times, later valid observations, and complete history. Account notifications can be set for specific unarchived records.
Why does one match not have research records for every category?
Data quality, sample maturity, and market-data availability differ by analysis category. Each category is evaluated independently; records without a candidate or without met research conditions are excluded from member performance statistics.
When are analysis and research states updated?
After the model selection is frozen, it is not rewritten backward. Before kickoff, only verifiable market observations and record states are updated. Pre-match observation stops at kickoff, and official results are archived after full time.
How should historical accuracy be read properly?
Accuracy must be read together with price range, sample size, drawdown, and time period. Historical performance is a model-review metric and does not represent any user's actual income or future result.