Saudi Arabia vs Senegal Prediction
Senegal Heavily Favored Over Saudi Arabia in World Cup 2026 Friendly Clash
International Friendly · World
Saudi Arabia
AI Predicted Score
0 - 2
Senegal
Win Probability (1X2)
Best Value Pick
See full breakdown below
🎮 Prediction Playground
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Expected goals · model says 0.70
Expected goals · model says 2.75
Over 2.5 Goals
67%
BTTS: Yes
47%
Likely Scores
0-2 · 0-3 · 0-1
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.
Saudi Arabia vs Senegal Prediction Confidence at a Glance
How strongly the model leans on each market.
Who do you think wins: Saudi Arabia vs Senegal?
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The Case For This Saudi Arabia vs Senegal Prediction
Senegal enter this World Cup 2026 warm-up fixture against Saudi Arabia as overwhelming favorites, with the model assigning them an 80% chance of victory. The gulf in class is evident in both Elo ratings and recent attacking output, with Senegal’s potent front line expected to dominate proceedings at Toyota Field. Saudi Arabia, meanwhile, have struggled for form and goals, and the analytics suggest they’ll find it tough to break down a disciplined Senegalese defense. The predicted scoreline is a 2-0 win for Senegal, with the most likely correct scores all favoring the African side. Saudi Arabia’s recent attacking woes, combined with Senegal’s strong momentum and finishing, point toward a one-sided affair unless something dramatic unfolds.
Key Factors at a Glance
Attack
xG factor — Saudi Arabia 0.97× · Senegal 1.45×
- →Momentum adjustment boosts Senegal’s attack (1.135x) and penalizes Saudi Arabia’s (0.85x).
- →Senegal’s top attackers have vastly outperformed Saudi Arabia’s in both xG and finishing.
- →Saudi Arabia have lost five straight, averaging only 0.4 goals per game in that span.
Defence
Suppression — Saudi Arabia 0.83× · Senegal 0.92×
Match Context
- →Senegal hold a +310 Elo rating advantage (1878 vs 1568), reflecting a massive quality gap.
- →Senegal’s blended expected goals (λ) is 2.75, compared to just 0.70 for Saudi Arabia.
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.
Saudi Arabia
0.97×Top-11 xG
51
Finishing
1.18×
Chance qual.
1.14×
- S. Al-Dawsari M7.1 xG
- K. Al-Ghannam F5.8 xG
- M. A. Juwayr M5.7 xG
- Y. Al-Shammari F5.6 xG
- F. Zubaidi F4.7 xG
Senegal
1.45×Top-11 xG
133
Finishing
1.20×
Chance qual.
1.14×
- B. Dia F24.6 xG
- P. P. Keny F14.9 xG
- I. Soumaré F14.7 xG
- A. Diao F11.8 xG
- P. M. Fall F11.4 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
0.68 · 1.92
From xG
1.36 · 2.26
Blended
0.70 · 2.75
Hybrid blend: 60% Elo-derived, 40% xG-derived, then adjusted for recent-form momentum.
Recent-form momentum: Saudi Arabia's cold attack trims their goals ×0.85; Saudi Arabia's leaky defence boosts the opponent ×1.18; Senegal attacking form lifts their goals ×1.14.
Exact-scoreline probabilities (rows = Saudi Arabia goals, columns = Senegal goals). Darker = more likely.
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 | 3 | 9 | 12 | 11 | 8 | 4 |
| 1 | 2 | 6 | 8 | 8 | 5 | 3 |
| 2 | 1 | 2 | 3 | 3 | 2 | 1 |
| 3 | 0 | 1 | 1 | 1 | 0 | 0 |
| 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | 0 | 0 | 0 | 0 | 0 | 0 |
Most Likely Scorelines
0-2
12.0%
0-3
11.0%
0-1
8.7%
How the Model Reached This
The model starts by weighing the Elo ratings, where Senegal’s 1878 towers over Saudi Arabia’s 1568, giving the away side a huge baseline edge. This Elo gap translates to expected scores of 0.144 for Saudi Arabia and 0.856 for Senegal, setting the stage for a lopsided contest. Next, the model factors in attack and defense using xG data, finishing rates, and chance quality. Senegal’s attack factor (1.449) dwarfs Saudi Arabia’s (0.969), and their top attackers have posted far superior xG and goal numbers. Defensive suppression also favors Senegal, with both sides showing data but Senegal’s ability to limit chances is stronger. Recent-form momentum is then applied: Senegal’s attack is running hot (1.135x), while Saudi Arabia’s is cold (0.85x), further widening the expected goals gap. After blending all these factors, the final expected goals (λ) line is 2.75 for Senegal and just 0.70 for Saudi Arabia. These rates are run through a Poisson model to produce exact scoreline probabilities, with 2-0 and 3-0 Senegal wins the most likely outcomes.
More Friendlies Predictions
Where the Model Disagrees with the Odds: Saudi Arabia vs Senegal
No bookmaker odds are currently available for this match, so it is not possible to identify positive expected value betting opportunities. Once odds are posted, the model’s strong lean towards Senegal and the low goal expectation for Saudi Arabia may highlight value in Senegal win and under Saudi Arabia goal markets.
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.
Saudi Arabia vs Senegal Goalscorer Form
Goals scored in last 5 matches across all competitions. Rate = goals ÷ 5 games.
Saudi Arabialast 5 matchesRegular contributor
Regular contributor
Occasional threat
Senegallast 5 matchesScoring consistently
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Saudi Arabia’s recent form is poor, with five straight losses and a paltry 0.4 goals scored per game over that stretch. Their defense has also been leaky, conceding an average of 2 goals per match. In contrast, Senegal have won four of their last five, scoring 1.8 goals per game and conceding just 0.8, with three clean sheets in that span. The momentum adjustments in the model reflect these divergent trends.
Saudi Arabia vs Senegal — Last 5 Matches
Strengths
- +Over 2.5 goals in 80% of games this season
Concerns
- −Inconsistent — 3+ losses in last 5
Strengths
- +Solid recent form — 3+ wins in last 5
- +3 clean sheets in last 5 matches
- +50% clean sheet rate this season
🚩 Saudi Arabia vs Senegal Corners Prediction
low confidenceOur corners model projects roughly 3.5 corners for Saudi Arabia and 5.8 for Senegal, for an expected total of 9.3. That makes the model lean Under 9.5 corners (54%). Over 8.5: 59% · Over 10.5: 33%.
What History Says: Saudi Arabia vs Senegal
There is no meaningful head-to-head record between Saudi Arabia and Senegal, as these teams rarely meet in international competition. This limits the model’s ability to draw on direct matchup data, so the prediction relies more heavily on overall team strength and recent form.
Saudi Arabia vs Senegal Head-to-Head History
Last 1 meeting between these sides
0
Saudi Arabia wins
1
Draws
0
Senegal wins
Things to Watch: Saudi Arabia vs Senegal
- ⚠️No bookmaker odds available at time of analysis; unable to recommend value bets.
- ⚠️International friendlies can feature experimental lineups and variable motivation.
- ⚠️Recent form and momentum are based on a limited sample of matches.
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 Saudi Arabia vs Senegal: 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.