UEFA Champions League. Second qualifying rounds. Second Leg
University Lausanne - University Lausanne
Our model prediction (Glicko-2)
1 University Lausanne — 45%
Pure model vs market (1 · University Lausanne): model 34% · market 46% Δ −12 pp model estimates below the market
Model estimate: win University Lausanne 44.8%, draw 25.0%, win University Lausanne 30.2%. Model favourite — University Lausanne.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • liniya na pik P2 4.15→3.20 (ukorotilas — dengi na pik)
- • Model backs Lozanna 🇨🇭: probability 50% vs 32% on the line (odds 3.14)
- • edge over the line +18 pp — value pick
- • Expected score 0:1
- • Total: Under 3: model expects a total of ~1 goals
- • at line 3 (odds 1.73)
- • Handicap F2 +0: score forecast 0:1 (diff -1) covers the line (odds 2.35).
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction University Lausanne - University Lausanne July 29, 2026
Football math modelBased on the collected prematch data, the favourite looks like University Lausanne.
- 1X2 odds (Fonbet): 1 2.05 / X 3.75 / 2 3.20
- Glicko: University Lausanne 44.8% / X 25.0% / University Lausanne 30.2%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.Odds source: Fonbet. This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.
For reference
Line movement
How the odds changed from opening to the current line — for reference, not a betting recommendation.↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.
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University Lausanne - University Lausanne
What data is collected and where it is shown
Football math model. The football model compares the market, Glicko-2, Poisson/xG, home advantage and tempo. The draw is accounted for as match risk but is not presented as a separate signal. Green value on an outcome means a mathematical edge, not a prediction guarantee.
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Best value: no value found
The football model compares the market, Glicko-2, Poisson/xG, home advantage and tempo. The draw is accounted for as match risk but is not presented as a separate signal. Green value on an outcome means a mathematical edge, not a prediction guarantee.
Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.
Both teams to score
| Outcome | Fonbet | Leon |
|---|---|---|
| no | 2.35 42.6% | 2.36 42.4% |
| yes | 1.55 64.5% | 1.55 64.5% |
Double chance
| Outcome | Betcity | Fonbet |
|---|---|---|
| 12 | 1.24 80.7% | 1.25 80.0% |
| 1x | 1.32 75.8% | 1.33 75.2% |
| x2 | 1.72 58.1% | 1.73 57.8% |
First Half Winner
| Outcome | Leon |
|---|---|
| 2.57 38.9% | |
| X | 2.28 43.9% |
| 3.68 27.2% |
Goals Over/Under First Half
| Outcome | Leon |
|---|---|
| Over 1 | 1.58 63.3% |
| Under 1 | 2.23 44.8% |
Servett 🇨🇭
Full head-to-head historyUniversity Lausanne - University Lausanne
Match history
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- Full AI consensus of 7 models
- Win probabilities & value flags
- Match history & form