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Experimental AI-assisted analytics, predictions and ratings are estimates, not official results.

Season signals

Insights

Derived from 11,174 matches across 259 processed 2026 events · TBA data · APEX APEX · updated 2026-08-21 02:48 UTC

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.

Top APEX teams

Highest overall estimated contribution.

  1. 14414HighTide331.1apex
  2. 2254The Cheesy Poofs317.3apex
  3. 31678Citrus Circuits309.3apex
  4. 49483Overcharge304.0apex
  5. 51690Orbit292.2apex
  6. 67769The CREW287.3apex
  7. 71323MadTown Robotics286.8apex
  8. 827Team RUSH286.4apex
  9. 91114Simbotics283.8apex
  10. 102056OP Robotics275.2apex

Fastest improving

Largest positive momentum vs season baseline.

  1. 12367Lancer Robotics541.5mom
  2. 22262Robo-Panthers463.5mom
  3. 35454Obsidian437.5mom
  4. 44509Mechanical Bulls435.5mom
  5. 57907Spartan Robotics434.0mom
  6. 610043Conscius Robotics428.0mom
  7. 74065Nerds of Prey427.0mom
  8. 82383Ninjineers426.5mom
  9. 95538Vikingbots415.5mom
  10. 105010Tiger Dynasty409.0mom

Most consistent

Lowest match-to-match variance among rated teams.

  1. 110452RoboLions67.0cons
  2. 22231OnyxTronix66.0cons
  3. 34085Technical Difficulties66.0cons
  4. 41498The Polar Pilots63.0cons
  5. 56152Robo-Falcons62.0cons
  6. 6308Monsters62.0cons
  7. 710173Minot Syber-Sentinels62.0cons
  8. 81038Lakota Robotics61.0cons
  9. 91884Griffins61.0cons
  10. 1010234TEDRA60.0cons

Strongest events

Events with the highest top-end APEX field.

  1. 1Galileo Division263.3
  2. 2Curie Division262.3
  3. 3Hopper Division256.6
  4. 4Daly Division250.2
  5. 5Newton Division246.5
  6. 6FIRST California Northern State Championship243.8
  7. 7Archimedes Division242.7
  8. 8Milstein Division235

Data-quality warnings

78 rated teams currently fall below the reliable-sample threshold.

Model limitations

What these insights cannot yet tell you.

  • Contributions are statistical estimates, not measured robot capabilities.
  • Early-season teams may have too few matches for a stable rating.
  • Defense and specific game tasks are inferred indirectly from scores.
  • Upsets reflect rating gaps, not narrative or mechanical context.