Azerbaijan vs San Marino Prediction
Azerbaijan Heavy Favourites Over San Marino in Szombathely Friendly

Azerbaijan
AI Predicted Score
2 - 0

San Marino
Win Probability (1X2)
Best Value Pick
See full breakdown below
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Expected goals · model says 2.45
Expected goals · model says 0.70
Over 2.5 Goals
61%
BTTS: Yes
46%
Likely Scores
2-0 · 3-0 · 1-0
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Powered by the same Poisson scoreline model behind the prediction. For fun and exploration — not betting advice.
Azerbaijan vs San Marino Prediction Confidence at a Glance
How strongly the model leans on each market.
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The Case For This Azerbaijan vs San Marino Prediction
Azerbaijan enter this friendly against San Marino with a commanding analytical edge, underpinned by a massive 504-point Elo gap and a final expected goals line of 2.43 to 0.70. The model projects Azerbaijan to dominate, with a 75.6% win probability and the most likely scorelines all favouring the hosts. San Marino, ranked 205th in the world, face a daunting task against an Azerbaijan side that, despite recent struggles, are expected to control proceedings from start to finish. The predicted scoreline of 2-0 reflects both Azerbaijan's attacking superiority and San Marino's persistent issues in front of goal. While neither side boasts strong finishing data or standout attackers in recent matches, the sheer gulf in underlying team strength and form momentum leaves little doubt about the expected flow of the game.
Key Factors at a Glance
Attack
- →Azerbaijan's recent attack momentum slightly boosted (1.08x)
- →San Marino's attack momentum suppressed (0.85x), leakiness high (1.18x)
Defence
- →Top three correct score probabilities all favour Azerbaijan clean sheets
Match Context
- →Elo rating differential of +504 points in Azerbaijan's favour
- →Final expected goals: Azerbaijan 2.43, San Marino 0.70
Elo Power Ratings
World Football Elo ratings — the model's baseline for relative strength.
Expected Goals & Scorelines
Elo and xG combine into a blended scoring rate per side, then a Poisson model gives the exact-scoreline grid.
From Elo
2.31 · 0.29
From xG
1.30 · 1.30
Blended
2.43 · 0.70
Hybrid blend: 60% Elo-derived, 40% xG-derived, then adjusted for recent-form momentum.
Recent-form momentum: Azerbaijan attacking form lifts their goals ×1.08; Azerbaijan's leaky defence boosts the opponent ×1.18; San Marino's cold attack trims their goals ×0.85; San Marino's leaky defence boosts the opponent ×1.18.
Exact-scoreline probabilities (rows = Azerbaijan goals, columns = San Marino goals). Darker = more likely.
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 | 4 | 3 | 1 | 0 | 0 | 0 |
| 1 | 11 | 7 | 3 | 1 | 0 | 0 |
| 2 | 13 | 9 | 3 | 1 | 0 | 0 |
| 3 | 10 | 7 | 3 | 1 | 0 | 0 |
| 4 | 6 | 4 | 2 | 0 | 0 | 0 |
| 5 | 3 | 2 | 1 | 0 | 0 | 0 |
Most Likely Scorelines
2-0
13.0%
1-0
10.7%
3-0
10.5%
How the Model Reached This
The model starts with a massive Elo baseline advantage for Azerbaijan, rated at 1340 versus San Marino's 836. This translates to a home expected score of 0.948 and an away expected score of just 0.052, setting the stage for a lopsided encounter. Attack and defense factors, while lacking granular player data for both sides, are neutral (set to 1) due to sparse international statistics. The model then applies recent-form momentum adjustments: Azerbaijan's attack is slightly hot (1.08x), while San Marino's attack is further suppressed (0.85x) and both sides show defensive leakiness (1.18x). These adjustments nudge Azerbaijan's expected goals up to 2.43 and San Marino's down to 0.70. Finally, these expected goals are run through a Poisson distribution to generate precise scoreline probabilities. The most likely outcomes are 2-0 (13%), 1-0 (11%), and 3-0 (10%), with Azerbaijan's win probability at 75.6% and San Marino's at just 8.8%.
More Friendlies Predictions
Azerbaijan vs San Marino Goalscorer Form
Goals scored in last 5 matches across all competitions. Rate = goals ÷ 5 games. XI badge shows player is in the expected starting lineup.
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Regular contributor
Recent form shows Azerbaijan snapping a four-match losing streak with a win, averaging 1.6 goals scored but conceding 2.2 per match over their last five. San Marino have struggled even more, scoring just 0.4 goals per game and conceding 2.8, with only one clean sheet in their last five. Both teams' form data is limited and should be interpreted cautiously given the sporadic nature of international fixtures.
Azerbaijan vs San Marino — Last 5 Matches
Concerns
- −4/5 losses in last 5 — poor form
- −Leaky defence — 2.2 conceded/game
- −No clean sheets in last 5 matches
Strengths
- +50% clean sheet rate this season
Concerns
- −4/5 losses in last 5 — poor form
- −Struggling to score — 0.4 goals/game
- −Leaky defence — 2.8 conceded/game
🚩 Azerbaijan vs San Marino Corners Prediction
medium confidenceOur corners model projects roughly 4.8 corners for Azerbaijan and 3.2 for San Marino, for an expected total of 8. That makes the model lean Under 9.5 corners (72%). Over 8.5: 41% · Over 10.5: 18%.
What History Says: Azerbaijan vs San Marino
These teams have met twice before, both in World Cup qualification in 2016 and 2017. Azerbaijan won both matches, including a dominant 5-1 victory at home and a 1-0 win away. The historical record reinforces Azerbaijan's status as clear favourites in this fixture.
Azerbaijan vs San Marino Head-to-Head History
Last 2 meetings between these sides
2
Azerbaijan wins
0
Draws
0
San Marino wins
Things to Watch: Azerbaijan vs San Marino
- ⚠️No bookmaker odds available at time of writing; no value bets can be recommended.
- ⚠️International form and player data is sparse, increasing model uncertainty.
- ⚠️Friendly matches can feature experimental lineups and unpredictable motivation.
This analysis is for informational purposes only and does not constitute financial advice. Betting involves risk — always gamble responsibly.
How This Prediction Was Made
The numbers on this page come from a structured statistical pack for Azerbaijan vs San Marino: recent results and scoring data for both sides, home/away splits, the head-to-head record, current league standings, known injuries and live bookmaker odds, all sourced from the API-Football data feed.
A deterministic model — The Analytical Engine — turns that pack into the prediction: Elo ratings set the baseline, expected-goals output and defensive suppression adjust each side's scoring rate, recent form nudges the totals, and a Poisson model converts the final rates into the scoreline and market probabilities shown above. The written analysis is AI-generated from those fixed numbers and is not edited by hand.
Last updated: 5 June 2026 (refreshed automatically as new team data arrives). Every prediction is scored against the real result once the match finishes — see the verified track record or read the full methodology. Football is inherently uncertain: treat this page as analysis, not advice.