UEFA Champions League Round of 32 AI Model Predictions Audit
Trinity Large Preview, Gemma 3 27B, and Qwen3 30B A3B led UEFA Champions League Round of 32 predictions with 2.00 avg points per match. Models achieved 47.07% correct tendency overall, with Galatasaray vs Juventus (5-2) as the biggest consensus miss.
Trinity Large Preview, Gemma 3 27B, and Qwen3 30B A3B led UEFA Champions League Round of 32 predictions with 2.00 avg points per match. Models achieved 47.07% correct tendency overall, with Galatasaray vs Juventus (5-2) as the biggest consensus miss. The Round of 32 featured 7 matches with high stakes for advancing teams. AI prediction accuracy is critical in knockout phases where single results determine progression. This audit analyzes model performance using authoritative data.
Top 10 Models
| # | Model | Matches | Total Points | Avg Pts/Match | Tendency % | Exact % |
|---|---|---|---|---|---|---|
| 1 | Trinity Large Preview (OpenRouter) | 7 | 14 | 2.00 | 71.4% | 0.0% |
| 2 | Gemma 3 27B (OpenRouter) | 7 | 14 | 2.00 | 71.4% | 0.0% |
| 3 | Qwen3 30B A3B (OpenRouter) | 7 | 14 | 2.00 | 71.4% | 0.0% |
| 4 | GPT-OSS 20B (OpenRouter) | 7 | 14 | 2.00 | 57.1% | 0.0% |
| 5 | Devstral 2 (OpenRouter) | 7 | 14 | 2.00 | 71.4% | 0.0% |
| 6 | Phi-4 (OpenRouter) | 7 | 13 | 1.86 | 71.4% | 0.0% |
| 7 | Qwen3 235B A22B (OpenRouter) | 5 | 9 | 1.80 | 40.0% | 0.0% |
| 8 | Mistral Small 3.2 24B (OpenRouter) | 7 | 12 | 1.71 | 57.1% | 0.0% |
| 9 | Gemma 3 12B (OpenRouter) | 7 | 11 | 1.57 | 57.1% | 0.0% |
| 10 | GLM-4.7 (OpenRouter) | 7 | 11 | 1.57 | 57.1% | 0.0% |
Match-by-Match Audit
- Bodo/Glimt vs Inter: Result 3-1. Correct tendency: 9.5%. Exact score hits: 0.0%. Consensus: A (71.4%) incorrect.
- Club Brugge KV vs Atletico Madrid: Result 3-3. Correct tendency: 76.2%. Exact score hits: 0.0%. Consensus: D (76.2%) correct.
- Olympiakos Piraeus vs Bayer Leverkusen: Result 0-2. Correct tendency: 71.4%. Exact score hits: 0.0%. Consensus: A (71.4%) correct.
- Qarabag vs Newcastle: Result 1-6. Correct tendency: 55.0%. Exact score hits: 0.0%. Consensus: A (55.0%) correct.
- Benfica vs Real Madrid: Result 0-1. Correct tendency: 52.4%. Exact score hits: 0.0%. Consensus: A (52.4%) correct.
- Monaco vs Paris Saint Germain: Result 2-3. Correct tendency: 65.0%. Exact score hits: 0.0%. Consensus: A (65.0%) correct.
- Galatasaray vs Juventus: Result 5-2. Correct tendency: 0.0%. Exact score hits: 0.0%. Consensus: D (57.1%) incorrect.
Biggest Consensus Misses
- Bodo/Glimt vs Inter (3-1): Consensus A (71.4%) incorrect. Predicted outcomes: 2/4/15.
- Galatasaray vs Juventus (5-2): Consensus D (57.1%) incorrect. Predicted outcomes: 0/12/9.
Methodology
kroam.xyz uses a quota-based scoring system that rewards both accuracy and boldness:
Tendency Points (2-6 points): Models earn points for correctly predicting the match outcome (home win, draw, or away win). The points awarded depend on prediction rarity—if most models predicted a home win but the away team won, models who correctly predicted the away win earn more points (up to 6). Common predictions earn fewer points (minimum 2).
Goal Difference Bonus (+1 point): If the model predicts the correct goal difference (e.g., predicted 2-1 and result was 3-2, both +1 difference), they earn a bonus point.
Exact Score Bonus (+3 points): Predicting the exact final score earns 3 additional points.
Maximum: 10 points per prediction (6 tendency + 1 goal diff + 3 exact).
This system ensures that models taking calculated risks on unlikely outcomes are rewarded when correct, while also recognizing precision in exact score predictions. Learn more about our methodology.
Frequently Asked Questions
Q: Which AI model performed best in UEFA Champions League Round of 32? A: Trinity Large Preview, Gemma 3 27B, and Qwen3 30B A3B tied with 2.00 avg points per match.
Q: How accurate were AI predictions for UEFA Champions League this round? A: Models achieved 47.07% correct tendency and 0.00% exact score hit rate across 7 matches.
Q: What was the biggest upset in UEFA Champions League Round of 32? A: Galatasaray vs Juventus (5-2) had 0.0% correct tendency and incorrect consensus.
Q: How does kroam.xyz score AI football predictions? A: Uses a quota system with tendency points (2-6), goal difference bonus (+1), and exact score bonus (+3), max 10 points per prediction.
Generation cost: $0.0018
Tokens: 4,138 input + 1,637 output
Frequently Asked Questions
What is this article about?
Which AI model performed best in UEFA Champions League Round of 32?**?
Q: Which AI model performed best in UEFA Champions League Round of 32?
Q: How accurate were AI predictions for UEFA Champions League this round?
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