Belgium vs Tunisia Prediction
Belgium Heavily Favoured Over Tunisia in Brussels Friendly Clash
International Friendly · World
Belgium
AI Predicted Score
1 - 0
Tunisia
Win Probability (1X2)
Best Value Pick
BTTS: Yes
@ 6
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Expected goals · model says 1.80
Expected goals · model says 0.75
Over 2.5 Goals
47%
BTTS: Yes
44%
Likely Scores
1-0 · 2-0 · 1-1
Play this match once with the probabilities above — every run is different.
Powered by the same Poisson scoreline model behind the prediction. For fun and exploration — not betting advice.
Belgium vs Tunisia Prediction Confidence at a Glance
How strongly the model leans on each market.
Who do you think wins: Belgium vs Tunisia?
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The Case For This Belgium vs Tunisia Prediction
Belgium enter this friendly against Tunisia as strong favourites, with the model giving them a 62% chance of victory at home in Brussels. An Elo gap of 230 points (Belgium 1866, Tunisia 1636) underpins the Red Devils’ expected dominance, while attacking metrics and recent form further tilt the balance. The model’s blended expected-goals line sits at 1.80 for Belgium and just 0.76 for Tunisia, reflecting both sides’ recent attacking and defensive performances. Belgium’s firepower, led by Romelu Lukaku and supported by a supporting cast with strong xG records, is expected to break through Tunisia’s leaky defence (defensive suppression factor 1.25). Tunisia, meanwhile, are projected to struggle in attack, with their top contributors offering modest xG and recent form showing just 0.8 goals per game. The most likely scorelines are 1-0 or 2-0 to Belgium, with a 1-1 draw a distant third.
Key Factors at a Glance
Attack
xG factor — Belgium 1.45× · Tunisia 0.78×
- →Belgium’s attack factor (1.45) far outstrips Tunisia’s (0.78)
- →Recent form momentum boosts Belgium’s attack (1.18) and dampens Tunisia’s (0.87)
Defence
Suppression — Belgium 0.80× · Tunisia 1.25×
- →Tunisia’s defence has a high suppression factor (1.25), indicating vulnerability
Match Context
- →Elo rating gap of +230 points in Belgium’s favour
- →Model’s final expected goals: Belgium 1.80, Tunisia 0.76
Elo Power Ratings
World Football Elo ratings — the model's baseline for relative strength.
xG Attack Strength
Top-11 expected-goals output, adjusted for finishing efficiency and chance quality. 1.00× is the tournament median.
Belgium
1.45×Top-11 xG
178
Finishing
1.20×
Chance qual.
1.01×
- R. Lukaku F46.1 xG
- M. Batshuayi F25.2 xG
- M. Fernandez F21.6 xG
- Y. Carrasco F16.2 xG
- T. Hazard M11.9 xG
Tunisia
0.78×Top-11 xG
64
Finishing
1.20×
Chance qual.
0.88×
- E. Skhiri M11.1 xG
- R. Elloumi F10.7 xG
- A. Abdi D7.5 xG
- A. B. Slimane M5.1 xG
- E. Saad F5.1 xG
Defensive Suppression
Defender & midfield ball-winning (tackles, interceptions, clearances, blocks). Higher = more suppression of the opponent's attack.
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
1.76 · 0.84
From xG
1.51 · 1.26
Blended
1.80 · 0.76
Hybrid blend: 60% Elo-derived, 40% xG-derived, then adjusted for recent-form momentum.
Recent-form momentum: Belgium attacking form lifts their goals ×1.18; Tunisia's cold attack trims their goals ×0.86.
Exact-scoreline probabilities (rows = Belgium goals, columns = Tunisia goals). Darker = more likely.
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 | 8 | 6 | 2 | 1 | 0 | 0 |
| 1 | 14 | 11 | 4 | 1 | 0 | 0 |
| 2 | 13 | 10 | 4 | 1 | 0 | 0 |
| 3 | 8 | 6 | 2 | 1 | 0 | 0 |
| 4 | 3 | 3 | 1 | 0 | 0 | 0 |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 |
Most Likely Scorelines
1-0
14.0%
2-0
12.6%
1-1
10.6%
How the Model Reached This
The model begins with an Elo baseline, where Belgium’s 230-point advantage translates to a 0.79 expected score for the home side versus just 0.21 for Tunisia. Next, it factors in both teams’ attacking and defensive metrics: Belgium’s attack is rated at 1.45, with top players like Lukaku and Batshuayi contributing high xG and finishing rates, while Tunisia’s attack factor is just 0.78, reflecting limited firepower. Defensive suppression is then applied, with Belgium’s back line (0.8) expected to limit Tunisia’s chances, while Tunisia’s defence (1.25) is projected to concede more than average. Recent-form momentum is meaningful here: Belgium’s attack is running hot (1.18 multiplier), while Tunisia’s is cold (0.87). These adjustments yield final expected goals of 1.80 for Belgium and 0.76 for Tunisia. The model then runs these through a Poisson process to generate exact scoreline probabilities, with 1-0 (14%) and 2-0 (13%) emerging as the most likely outcomes.
Where the Model Sees Value: Belgium vs Tunisia(1)
Selections where the model's probability beats the bookmaker's implied probability. Expected value is computed from real consensus odds, not opinion.
BTTS: Yes@ 6
Model assigns a 44% probability to both teams scoring, far above the implied probability of 17% at 6.0 odds. Value is strong if Tunisia can capitalise on a rare chance.
Read more ↓
More Friendlies Predictions
Where the Model Disagrees with the Odds: Belgium vs Tunisia
The model’s probabilities are largely in line with the bookmakers’ odds for the 1X2 market, offering little value on Belgium or the draw. However, the model sees a higher chance of both teams not scoring (56%) than the implied probability from the bookmakers’ short odds (1.12 for ‘No’), but the value is marginal due to the low return. The standout value lies in ‘BTTS: Yes’ at odds of 6.0, where the model gives a 44% chance (implied odds ~2.27), suggesting a significant edge if Tunisia can find a goal against the run of play.
Odds from Bet365. Positive edge = our model gives a higher probability than the odds imply. EV = expected value per £1 staked.
1X2
Over/Under 2.5
Both Teams Score
Best Value Markets Found by the Model
EV per £1 staked. Positive EV means this bet has mathematical edge over the long run. Past model accuracy is tracked on our predictions tracker.
Edge and EV are derived from model probabilities only and do not constitute financial advice. Odds fluctuate — always verify current prices with your bookmaker.
Belgium vs Tunisia 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.
Belgiumlast 5 matchesScoring consistently
Scoring consistently
Regular contributor
Regular contributor
Occasional threat
Occasional threat
Tunisialast 5 matchesOccasional threat
Occasional threat
Occasional threat
Occasional threat
Belgium’s recent form is strong, with 11 points from their last 5 matches and an average of 3.2 goals scored per game. Their attack is in excellent shape, and they have not failed to score in any of their last five. Tunisia, by contrast, have struggled—just 5 points from 5 games, averaging only 0.8 goals scored, and a lack of attacking threat reflected in both their xG and finishing. Both sides have kept a couple of clean sheets recently, but Tunisia’s attacking momentum is clearly lacking.
Belgium vs Tunisia — Last 3 Matches
Strengths
- +Solid recent form — 3+ wins in last 5
- +Prolific attack — 3.2 goals/game (last 5)
- +High-volume attack — 15 shots/game
- +Dominant in possession — 60% avg
Strengths
- +66.67% clean sheet rate this season
🚩 Belgium vs Tunisia Corners Prediction
high confidenceOur corners model projects roughly 6.8 corners for Belgium and 4.5 for Tunisia, for an expected total of 11.3. That makes the model lean Over 9.5 corners (69%). Over 8.5: 79% · Over 10.5: 57%.
What History Says: Belgium vs Tunisia
These sides have met only once in recent history, at the 2018 World Cup, where Belgium ran out emphatic 5-2 winners. With such limited head-to-head data, it’s difficult to draw strong conclusions, but the previous encounter does underscore the gulf in class between the teams.
Belgium vs Tunisia Head-to-Head History
Last 1 meeting between these sides
1
Belgium wins
0
Draws
0
Tunisia wins
Things to Watch: Belgium vs Tunisia
- ⚠️International friendlies can be unpredictable due to squad rotation and experimental lineups.
- ⚠️Tunisia’s attack is weak on recent form, so BTTS is high-risk despite model value.
- ⚠️Head-to-head data is sparse; only one recent meeting.
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 Belgium vs Tunisia: 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.