The Cheer Intel is a data-driven analytics platform focused on understanding competitive performance in All-Star cheerleading.
While the sport is often discussed through opinions, rankings, and highlight moments, The Cheer Intel focuses on the numbers behind the performances. By analyzing scoring trends, execution consistency, and division-level scoring patterns, we provide a clearer picture of how teams compare across competitions.
Our analysis looks beyond a single performance to identify measurable indicators of competitive strength. These include score averages, score volatility, execution performance, and division scoring environments.
The goal is simple:
to bring objective insight to a sport where outcomes are often difficult to interpret.
The Cheer Intel provides:
Competition predictions Division performance analytics Score trend analysis Comparative team metrics
Our predictions are based on statistical modeling and historical scoring data. While cheer competitions are dynamic and outcomes are always determined on the mat, data can help explain which teams are most likely to succeed and why.
The Cheer Intel does not represent or promote any gym, program, or organization. Our analysis is neutral and focused solely on performance data.
Execution wins championships. Data explains why.
What Makes Our Analytics Different
The Cheer Intel focuses on measurable performance indicators rather than reputation or program history.
Our models evaluate:
Score averages across competitions Execution score consistency Division scoring trends Score volatility between events
These factors are used to estimate predicted scores and competitive probabilities within each division.
The goal is not to replace the unpredictability of competition, but to provide deeper insight into how teams compare before they take the floor.