Experimental AI-assisted analytics, predictions and ratings are estimates, not official results.
2026 REBUILT season · powered by the APEX model

Read the game like a pro strategist.

FRCinsights turns official FRC results into clear, predictive intelligence, team strength, event competitiveness, and match-by-match win probabilities computed from real data.

Experimental, AI-assisted analytics

FRCinsights uses AI-assisted experimental analytics. Predictions, rankings, ratings, and insights are not guaranteed to be accurate and should not be treated as official results or professional advice. Data may be incomplete, delayed, miscategorized, or incorrect. FRCinsights is a new project under active development, and accuracy will improve over time.

Teams rated
3100
Events processed
247
Matches analyzed
11160
Model accuracy
77%

The Blue Alliance official data · FRCinsights calculated APEX · model apex-0.4.0 · updated 2026-07-20 23:49 UTC

Top teams by APEX rating

Latest event APEX from each team's most recent official event before or at Einstein.

Full rankings
#TeamEvent APEX
14414HighTide530.8dal
22910Jack in the Bot526.02new
31323MadTown Robotics491.22dal
42056OP Robotics463.36hop
51768Nashoba Robotics452.13gal
66800Valor450.81cur
77769The CREW447.79gal
81114Simbotics445.74arc

Top-team APEX

Estimated contribution of the strongest rated teams.

League strength distribution

How APEX ratings are spread across all rated teams.

2026 world single-alliance record

Highest single-alliance score from all completed official matches this season, counting only points the alliance earned (penalty points removed).

Record score964red alliance

Daly Division · view match · 2026-05-02

Definition: highest single-alliance score with penalty points removed, so no record is inflated by fouls the other alliance committed.

Source: real FIRST data · updated 2026-07-20 23:49 UTC

The APEX model

Alliance Performance Expectation

A team's APEX rating estimates how many points they are expected to contribute above an average team, adjusted for opponent strength, alliance partners, event difficulty, and recent performance.

Read the methodology

Opponent-adjusted

Partner-aware

Tested on real matches

Real official data