Live AI Game Predictions - 2026 NCAA Tournament

Real-time NCAA Tournament game predictions from three AI models: GPT-4o (OpenAI), Gemini 2.5 (Google), and Perplexity Sonar Pro. Each game card shows the predicted winner and confidence score from all three models at the most recent collection window.

Predictions are collected at three intervals before each game: 24 hours (T-24h), 6 hours (T-6h), and 1 hour (T-1h) before tip-off. This triple-snapshot approach reveals which models update their picks as new information arrives and which maintain stable predictions.

During live games, scores update alongside the pre-game predictions. After the game ends, each model's prediction is scored as correct or incorrect. Flip tracking identifies cases where a model changed its predicted winner between collection windows.

T-24h

The prediction collected 24 hours before game tip-off, before most day-of news is available.

T-1h

The prediction collected 1 hour before tip-off, incorporating the latest injury reports and lineup news.

Flip

When a model switches its predicted winner between collection windows, indicating a change in its assessment.