Skip to content
Methodology

From a raw match to an eligible pick.

The CornerEngine workflow narrows the match universe into ranked evaluations and a small set of PLAY candidates eligible for publication, while retaining WATCH and AVOID for analysis.

1

Schedule scanning

Eligible matches are collected from the configured leagues and the data required for analysis is verified.

2

Profile analysis

The engine normalizes six signals: prediction, recent form, trend, home context, H2H and consistency.

3

Score and eligibility

Each evaluated candidate receives a weighted Score and calibrated Confidence. Configured thresholds, risk and decision guards produce the final PLAY, WATCH or AVOID verdict.

4

Ranking and publishing

Candidates are ranked primarily by Confidence and Score. Under the current policy, only PLAY for Over 8.5 is eligible for publication; WATCH and AVOID remain evaluation decisions.

5

Results and learning

After the match, the observed corner total factually settles Over 8.5: 9+ corners = WIN, 0-8 = LOSS. The result then enters history and performance evaluation.

Methodology

How to read the indicators

Score, Confidence and the verdict are different indicators and none is a guarantee.

01

Score

A 0-100 score built from the weighted contributions of the six analysis factors.

02

Confidence

An internal 0-100 score calibrated from Score plus consistency/risk adjustments. It is not a guaranteed win probability.

03

PLAY / WATCH / AVOID

PLAY passes policy and decision guards; WATCH indicates mixed or insufficient evidence; AVOID indicates exclusion or high risk.

4

Over 8.5 outcome

Public settlement uses only the observed corner total: 9 or more = WIN, at most 8 = LOSS.

5

Statistics vs Performance

Statistics tracks published picks. Performance evaluates a broader public-safe universe, so percentages can use different denominators.