The Bracket game allows participants to predict the results of matches in a sports competition and earn stars and points based on the accuracy of their predictions.

Before each match begins, participants must predict the final score. Once the match is over, their predictions are compared with the actual result to automatically calculate their score.

Depending on the configuration chosen for the campaign, participants can be rewarded:

The scoring system is fully customizable and can work in two modes:

The goal is simple: make the best possible predictions to climb the leaderboard and compete with other participants throughout the competition.

👉 It is possible to predict all matches in a phase or to activate the “Day by day” option. In this mode, predictions open at 00:00 on the day of the match and close 15 minutes before kick-off.

Once the Bracket is live, an Analytics tab allows you to track the game’s performance and better understand participant engagement.

Statistics are organized into several views:

The Overview view allows you to check the main Bracket indicators at a glance.

It displays, among other things:

This view is ideal for quickly measuring overall participation, game progress, and the average performance level of participants.

The By phase view allows you to analyze participant performance for each competition round.

It displays, among other things:

This view helps identify the most engaging phases, the most difficult ones, or those where participants achieved the best results.

The Leaderboard displays the top 20 participants in the Bracket.

For each participant, you can view:

The ranking can also be filtered by phase to identify the best participants for a specific competition round.

Scoring rewards participants based on the accuracy of their predictions.

Two calculation modes are available:

In this mode, participants earn points based on:

The participant must correctly predict the match result:

Reward: 100 points × the winner’s odds

The participant must predict the exact final score of the match.

Reward: +300 points

This bonus is added to the points earned for the correct winner.

If the participant does not predict the correct result:

Reward: 0 points

Even if the predicted score is close to the actual result.

The outsider bonus rewards participants who correctly identify an unlikely win.

Condition: The winner must have odds above 3.00

Reward: 100 fixed points + (50 points × the odds)

Phase bonuses are calculated automatically when a phase is fully completed.

⚠️ To be eligible, the participant must have predicted all active matches in the phase.

👉 If a single prediction is missing: No phase bonus is awarded.

The participant correctly found the winner of every match in the phase.

Bonus: +200 points

The participant found the exact score of every match in the phase.

Bonus: +500 points

The participant has:

Bonus: +700 points

In this mode, no odds are used.

Participants earn:

The participant correctly predicts:

Reward: +1 star & +150 points

The participant predicts the exact final score.

Reward: +2 stars & +300 additional points

The “Exact score” bonus is added to the “Correct winner” bonus. This means:

⚠️ When odds are not enabled: No outsider bonus is available.

Score calculation only takes into account:

✅ the score at the end of regular time

⚠️ The following are not taken into account:

❌ extra time

❌ penalty shootouts

The maximum is: ⭐⭐⭐ 3 stars per match

(1 star for the winner + 2 stars for the exact score)

An additional star can be earned when a participant correctly predicts an outsider.

The maximum then becomes: ⭐⭐⭐⭐ 4 stars per match

💡 Key takeaway: the exact score is always cumulative with the correct winner, while the outsider bonus is only available when odds are enabled and the winner has odds above 3.00.

The Analytics tab also helps you better understand whether participants come back to play several times during the competition.

This analysis is based on a simple concept: the activity day.

💡 An activity day is a day when a participant predicted or modified their scores on the Bracket.

If they make several predictions or several changes on the same day, this counts as 1 activity day.

If they come back on another day to predict or adjust their scores, this adds 1 new activity day.

This view is especially useful when the Day by day option is enabled, as it helps measure the Bracket’s ability to bring participants back throughout the competition.

This section helps you understand across how many different days participants came back to play.

Participants are grouped into several categories:

The section displays both a table and a chart to quickly visualize the share of occasional participants and the share of the most engaged participants.

💡 This statistic takes all participants into account, including anonymous participants.

Retention measures the share of participants who come back to play after their first participation.

It displays several time markers, for example at D+7, D+10, D+20, D+30, D+90 and D+180.

A participant is considered retained at D+7 if at least 7 days have passed between their first and last activity day.

This view helps you understand whether the Bracket generates only one-time participation or whether it succeeds in bringing participants back over time.

💡 Over a recent period, the last points of the curve may appear lower because some participants have not yet had time to come back. This does not necessarily mean engagement is decreasing.

This section summarizes participant loyalty into two simple categories:

It allows you to quickly visualize the share of participants discovering the Bracket and the share of participants who come back to play.

Three views are available:

This section is useful for tracking engagement quality beyond the simple volume of participants.