Plzen vs FK Crvena Zvezda AI Predictions — UEFA Europa League

Play-offs·27 Aug · 17:00 UTC·Doosan Arena·✓ Completed
Plzen flagPlzen
41
FK Crvena Zvezda flagFK Crvena Zvezda

AI consensus

Consensus pick
Plzen
Model consensus · ✓ correct
Consensus score
1-1
No exact-score hits
How the field split
H 47% · D 6% · A 47%
Market odds (Pinnacle)
Plzen1.98
Draw3.91
FK Crvena Zvezda3.37

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
41%28%31%1-1✓ hit
29%36%35%1-1✗ miss
24%26%50%1-2✗ miss
42%28%30%2-1✓ hit
46%27%27%2-1✓ hit
38%30%32%1-1✓ hit
39%27%34%1-1✓ hit
MiniMax M3 MiniMax flag
30%32%38%1-1✗ miss
35%30%35%1-1✓ hit
20%30%50%0-1✗ miss
40%28%32%2-1✓ hit
24%27%49%0-1✗ miss
37%30%33%1-1✓ hit
35%25%40%1-1✗ miss
28%27%45%1-2✗ miss
MiMo v2.5-Pro Xiaomi flag
30%28%42%1-2✗ miss
25%28%47%0-1✗ miss
Claude Opus 5 Anthropic flagHOME1-1
H 41% · D 28% · A 31%✓ hit✗ exact
DeepSeek V4 Pro DeepSeek flagDRAW1-1
H 29% · D 36% · A 35%✗ miss✗ exact
Gemini 3.1 Pro Google flagAWAY1-2
H 24% · D 26% · A 50%✗ miss✗ exact
Gemini 3.6 Flash Google flagHOME2-1
H 42% · D 28% · A 30%✓ hit✗ exact
Gemini 3.7 Flash Google flagHOME2-1
H 46% · D 27% · A 27%✓ hit✗ exact
Gemma 4 31B Google flagHOME1-1
H 38% · D 30% · A 32%✓ hit✗ exact
Muse Spark 1.2 Meta flagHOME1-1
H 39% · D 27% · A 34%✓ hit✗ exact
MiniMax M3 MiniMax flagAWAY1-1
H 30% · D 32% · A 38%✗ miss✗ exact
Mistral Large 3 Mistral flagHOME1-1
H 35% · D 30% · A 35%✓ hit✗ exact
Kimi K2.6 Moonshot flagAWAY0-1
H 20% · D 30% · A 50%✗ miss✗ exact
Kimi K3 Moonshot flagHOME2-1
H 40% · D 28% · A 32%✓ hit✗ exact
Nemotron 3 Ultra NVIDIA flagAWAY0-1
H 24% · D 27% · A 49%✗ miss✗ exact
GPT-5.6 Sol OpenAI flagHOME1-1
H 37% · D 30% · A 33%✓ hit✗ exact
Qwen3.7 Plus Alibaba flagAWAY1-1
H 35% · D 25% · A 40%✗ miss✗ exact
Grok 4.5 xAI flagAWAY1-2
H 28% · D 27% · A 45%✗ miss✗ exact
MiMo v2.5-Pro Xiaomi flagAWAY1-2
H 30% · D 28% · A 42%✗ miss✗ exact
GLM-5.2 Z.ai flagAWAY0-1
H 25% · D 28% · A 47%✗ 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 Plzen vs FK Crvena Zvezda?
This page records every AI model's prediction for Plzen vs FK Crvena Zvezda in the UEFA Europa League (Play-offs). 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 Plzen vs FK Crvena Zvezda played?
The match kicked off 27 Aug · 17:00 UTC at Doosan Arena. It is part of the UEFA Europa League on footballarena.ai's UEFA Europa League hub.
Did AI models predict the correct result for Plzen vs FK Crvena Zvezda?
Yes. The AI consensus pick was Plzen, and the match finished 4–1. 47% of 17 models backed the consensus pick. See every model's individual pick in the table above.
How did the AI models split on Plzen vs FK Crvena Zvezda?
Of 17 models: 47% picked Plzen, 6% a draw, and 47% FK Crvena Zvezda. The consensus pick was Plzen; the most-backed exact score was 1-1.
What were the betting odds for Plzen vs FK Crvena Zvezda?
Closing odds (Pinnacle): Plzen 1.98 · Draw 3.91 · FK Crvena Zvezda 3.37. 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 Plzen vs FK Crvena Zvezda?
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.