Udinese vs Como AI Predictions — Serie A

Regular Season - 1·22 Aug · 16:30 UTC·Bluenergy Stadium - Stadio Friuli·✓ Completed
Udinese flagUdinese
11
Como flagComo

AI consensus

Consensus pick
Udinese
Model consensus · ✗ missed
Consensus score
1-1
Some models nailed the exact score
How the field split
H 41% · D 18% · A 41%
Market odds (Pinnacle)
Udinese4.69
Draw3.59
Como1.84

The consensus pick and the consensus score answer different questions. A result is one bucket holding many scorelines, while 1-1 is the most common score in football on its own. So the likeliest result and the likeliest exact score often point different ways, for a single model and for the field. Grading reads the result. How predictions are elicited →

Every model's prediction

17 of 18 locked models answered
ModelHome %Draw %Away %Predicted score90-min resultExact score
Claude Opus 5 Anthropic flag
28%28%44%1-1✗ miss
30%36%34%1-1✓ hit
37%31%32%1-1✗ miss
31%34%35%1-1✗ miss
37%32%31%1-1✗ miss
38%31%31%1-1✗ miss
30%27%43%0-1✗ miss
MiniMax M3 MiniMax flag
32%34%34%0-0✓ hit
40%30%30%1-1✗ miss
32%38%30%1-1✓ hit
30%29%41%0-1✗ miss
42%28%30%1-0✗ miss
29%30%41%0-1✗ miss
38%32%30%1-1✗ miss
38%30%32%1-1✗ miss
MiMo v2.5-Pro Xiaomi flag
27%33%40%1-1✗ miss
28%30%42%1-1✗ miss
Claude Opus 5 Anthropic flagAWAY1-1
H 28% · D 28% · A 44%✗ miss✓ exact
DeepSeek V4 Pro DeepSeek flagDRAW1-1
H 30% · D 36% · A 34%✓ hit✓ exact
Gemini 3.1 Pro Google flagHOME1-1
H 37% · D 31% · A 32%✗ miss✓ exact
Gemini 3.6 Flash Google flagAWAY1-1
H 31% · D 34% · A 35%✗ miss✓ exact
Gemini 3.7 Flash Google flagHOME1-1
H 37% · D 32% · A 31%✗ miss✓ exact
Gemma 4 31B Google flagHOME1-1
H 38% · D 31% · A 31%✗ miss✓ exact
Muse Spark 1.2 Meta flagAWAY0-1
H 30% · D 27% · A 43%✗ miss✗ exact
MiniMax M3 MiniMax flagDRAW0-0
H 32% · D 34% · A 34%✓ hit✗ exact
Mistral Large 3 Mistral flagHOME1-1
H 40% · D 30% · A 30%✗ miss✓ exact
Kimi K2.6 Moonshot flagDRAW1-1
H 32% · D 38% · A 30%✓ hit✓ exact
Kimi K3 Moonshot flagAWAY0-1
H 30% · D 29% · A 41%✗ miss✗ exact
Nemotron 3 Ultra NVIDIA flagHOME1-0
H 42% · D 28% · A 30%✗ miss✗ exact
GPT-5.6 Sol OpenAI flagAWAY0-1
H 29% · D 30% · A 41%✗ miss✗ exact
Qwen3.7 Plus Alibaba flagHOME1-1
H 38% · D 32% · A 30%✗ miss✓ exact
Grok 4.5 xAI flagHOME1-1
H 38% · D 30% · A 32%✗ miss✓ exact
MiMo v2.5-Pro Xiaomi flagAWAY1-1
H 27% · D 33% · A 40%✗ miss✓ exact
GLM-5.2 Z.ai flagAWAY1-1
H 28% · D 30% · A 42%✗ miss✓ exact

Locked before kickoff. Predictions contribute independently to 90-minute accuracy, exact score, RPS, and eligible ROI.Confidence is the model's self-reported level for this prediction.

Model explanation

Questions & answers

What are the AI predictions for Udinese vs Como?
This page records every AI model's prediction for Udinese vs Como in the Serie A (Regular Season - 1). Each model returned a home/draw/away probability distribution and its single most likely exact scoreline before kickoff. How the predictions are scored →
When and where was Udinese vs Como played?
The match kicked off 22 Aug · 16:30 UTC at Bluenergy Stadium - Stadio Friuli. It is part of the Serie A on footballarena.ai's Serie A hub.
Did AI models predict the correct result for Udinese vs Como?
No. The AI consensus picked Udinese, but the match finished 1–1 — a draw. 41% of 17 models had backed the consensus pick. The full per-model breakdown is in the table above.
How did the AI models split on Udinese vs Como?
Of 17 models: 41% picked Udinese, 18% a draw, and 41% Como. The consensus pick was Udinese; the most-backed exact score was 1-1.
What were the betting odds for Udinese vs Como?
Closing odds (Pinnacle): Udinese 4.69 · Draw 3.59 · Como 1.84. Whichever price is shortest is the market favourite, and that is the baseline AI models are graded against on accuracy and betting ROI. How scoring works →
How many AI models predicted Udinese vs Como?
18 models were locked into this fixture (17 answered — the rest had a provider call fail). Every model on footballarena.ai works from the same fixture set under the same scoring rules. See the model directory.

Research updates, published here

Findings, upsets and model behaviour, straight from the scored record.