FIFA World Cup 2026⚙️ The Analytical Engine

Sweden vs Tunisia Prediction

Sweden vs Tunisia: Model Favors Sweden in Tight World Cup 2026 Opener

FIFA World Cup 2026FIFA World Cup 2026 · World
medium confidence
Sweden

Sweden

Full Time

5 - 1

AI predicted 1 - 0

Tunisia

Tunisia

🗓️ Sunday, 14 Jun 2026 at 20:00 GMT-6 (venue time) · Mon 15 Jun, 02:00 UTC (your time)📍 Estadio BBVA, Monterrey

Win Probability (1X2)

Sweden 51%Draw 25%Tunisia 24%

Best Value Pick

BTTS: Yes

@ 5.5

Match Result

8.1/10

Sweden Thrash Tunisia 5-1 in Monterrey World Cup Opener

Sweden kicked off their World Cup campaign in emphatic fashion, dismantling Tunisia 5-1 at Estadio BBVA in Monterrey. The Swedes were clinical and relentless, racing into an early lead and never looking back as they put five past the North Africans. Viktor Gyökeres and Alexander Isak led the line superbly, while Tunisia struggled to contain Sweden's attacking verve despite briefly threatening a comeback before halftime. The match saw Sweden open the scoring in the 7th minute, before doubling their advantage on the half-hour mark. Tunisia pulled one back just before the break, but Sweden responded with three more goals in the second half to seal a comprehensive victory. With 13 shots and 7 on target, compared to Tunisia's 6 and 2, Sweden's dominance was clear, even as possession remained nearly even.

🔥 AI Prediction Report

CERTIFIED W

Predicted

1 - 0

⚡

Actual

5 - 1

✅Result
✅BTTS
❌O/U 2.5
❌Score

💰 Bet Results2/2 hit

Both Teams to Score — Yes@ 5.5
✅
Over/Under 2.5 Goals — Over 2.5@ 6
✅

Key Moments

7' — Goal

Sweden strike early to take the lead and set the tone.

30' — Goal

Sweden double their advantage with a well-worked move.

43' — Goal

Tunisia pull one back before halftime, briefly shifting momentum.

59' — Goal

Sweden restore their two-goal cushion, dampening Tunisia's hopes.

84' — Goal

Sweden add a fourth, sealing the result.

90' — Goal

Sweden cap off the rout with a fifth goal in stoppage time.

Unknown' — Yellow Card

Tunisia pick up the only booking of the match.

Sweden

Sweden

8.5/10

Sweden delivered a statement performance, combining defensive solidity with attacking flair in their 3-1-4-2 setup. The forward pairing of Viktor Gyökeres and Alexander Isak proved too much for Tunisia's back five, and the midfield, marshaled by Jesper Karlström, controlled the tempo effectively. Sweden's ability to convert chances—scoring five from seven shots on target—highlighted their ruthless efficiency. The Swedes managed the game well after conceding just before halftime, regrouping to dominate the second period. Their pressing and transitions repeatedly unsettled Tunisia, and late goals put the result beyond doubt.

Key Players

Viktor Gyökeres: Scored and led the line with constant threat
Alexander Isak: Scored and linked play between midfield and attack
Jesper Karlström: Anchored midfield and dictated tempo

Strengths

Clinical finishingEffective pressingFluid attacking combinations

Weaknesses

Momentary lapse before halftime
Tunisia

Tunisia

4.5/10

Tunisia began with a defensive 5-3-2 formation, aiming to frustrate Sweden and strike on the counter. However, they struggled to cope with Sweden's movement and conceded twice in the opening half hour. A goal just before halftime offered hope, but defensive frailties and lack of attacking threat saw them overrun in the second half. Despite slightly edging possession (51%), Tunisia's inability to create clear chances—just two shots on target—proved costly. The midfield trio worked hard, but the forwards were largely isolated, and the backline was breached too easily.

Key Players

Hannibal Mejbri: Worked tirelessly in midfield, scored Tunisia's only goal
Ellyes Skhiri: Tried to link play and break up Swedish attacks

Strengths

Brief spells of possessionMidfield work rate

Weaknesses

Defensive vulnerabilitiesLack of attacking penetrationPoor conversion of possession into chances

Tactical Analysis

Sweden's 3-1-4-2 formation provided both defensive stability and attacking width, with the wingbacks pushing high and the midfield controlling transitions. The front two constantly stretched Tunisia's back five, creating space for late runs from midfield. Sweden pressed high, forcing turnovers and capitalizing on Tunisian mistakes. Tunisia's 5-3-2 setup was designed for containment, but the wingbacks were pinned back, and the midfield struggled to shield the defense. Their attempts to build from the back often faltered under Swedish pressure, and their forwards received little service. Tactical adjustments after halftime were ineffective as Sweden's intensity never dropped.

Turning Point

Sweden's third goal in the 59th minute, which killed off Tunisia's hopes after their late first-half goal.

Man of the Match

Viktor Gyökeres

Led the line superbly, scored, and was involved in multiple attacking moves that broke Tunisia's defense.

🎮 Prediction Playground

Think the model has it wrong? Nudge each team's expected goals and watch every probability react — then simulate the match and see what happens.

Sweden1.60

Expected goals · model says 1.60

Tunisia1.05

Expected goals · model says 1.05

Win Probability
Sweden 50% Draw 25% Tunisia 25%

Over 2.5 Goals

49%

BTTS: Yes

52%

Likely Scores

1-1 · 1-0 · 2-1

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.

Sweden vs Tunisia Prediction Confidence at a Glance

How strongly the model leans on each market.

Match Result (1X2)
51%
25%
24%
Sweden 51%Draw 25%Tunisia 24%
Both Teams to Score
51%
49%
Yes 51%No 49%
Over/Under 2.5 Goals
49%
51%
Over 2.5 49%Under 2.5 51%
Corners (Over/Under 9.5)
19%
81%
Over 9.5 19%Under 9.5 81%

Who do you think wins: Sweden vs Tunisia?

Cast your vote, then see how it stacks up against the model.

The Case For This Sweden vs Tunisia Prediction

Sweden and Tunisia kick off their World Cup 2026 campaigns in Monterrey, with the model giving Sweden a clear but not overwhelming edge. The analytics point to a Swedish side that combines a higher Elo rating, a more potent attack, and a recent uptick in scoring form, but Tunisia’s defensive discipline could keep things close. The most likely outcomes are low-scoring, with the model’s top predicted scorelines all featuring one or two goals per side. Sweden’s attack, led by the likes of G. Nilsson and A. Elanga, is expected to create more and better chances, but Tunisia’s defensive setup and recent form suggest they can frustrate the favorites. While Sweden are favored, the probabilities indicate a competitive match where a draw or narrow win is very much in play.

Key Factors at a Glance

Attack

xG factor — Sweden 1.45× · Tunisia 0.78×

  • →Sweden’s blended expected goals (λ) is 1.61, boosted by recent attacking form (momentum x1.18).
  • →Tunisia’s attack is less potent (λ 1.03) and recent momentum drags them down (attack x0.87).

Defence

Suppression — Sweden 1.10× · Tunisia 1.25×

  • →Both teams to score is close to a coin flip (51%), but Sweden’s defense is slightly more robust.

Match Context

  • →Sweden enjoys an Elo edge of +83 points (1719 vs 1636), translating to a 51% win probability.
  • →The top three correct score probabilities are 1-1 (12%), 1-0 Sweden (12%), and 2-1 Sweden (10%).

Elo Power Ratings

World Football Elo ratings — the model's baseline for relative strength.

Sweden #43Tunisia #58
1719
1636
Elo edge: +83 to SwedenBaseline win expectancy: 61.7% / 38.3%

xG Attack Strength

Top-11 expected-goals output, adjusted for finishing efficiency and chance quality. 1.00× is the tournament median.

Sweden

1.45×

Top-11 xG

136

Finishing

1.20×

Chance qual.

1.14×

  • G. Nilsson F33.2 xG
  • M. Ishak F16.6 xG
  • A. Elanga F15.3 xG
  • M. Svanberg M13.9 xG
  • B. Nygren F13.2 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.

Sweden1.10×
Tunisia1.25×

Expected Goals & Scorelines

Elo and xG combine into a blended scoring rate per side, then a Poisson model gives the exact-scoreline grid.

Swedenexpected goals (λ)Tunisia

From Elo

1.47 · 1.13

From xG

1.51 · 0.91

Blended

1.61 · 1.03

Hybrid blend: 60% Elo-derived, 40% xG-derived, then adjusted for recent-form momentum.

Recent-form momentum: Sweden attacking form lifts their goals ×1.18; Sweden's leaky defence boosts the opponent ×1.14; Tunisia's cold attack trims their goals ×0.86.

Exact-scoreline probabilities (rows = Sweden goals, columns = Tunisia goals). Darker = more likely.

012345
0774100
112126210
29105200
3553100
4221000
5110000

Most Likely Scorelines

1-1

11.8%

1-0

11.5%

2-1

9.5%

How the Model Reached This

The model starts with an Elo baseline, giving Sweden an 83-point advantage (1719 vs 1636), which sets the foundation for a 51% win probability. Next, it factors in each side’s attack and defense: Sweden’s attack factor is 1.45, with strong finishing and chance quality, while Tunisia’s is lower at 0.78, reflecting less creative output. Defensively, Sweden (factor 1.11) are slightly more solid than Tunisia (1.25). Recent momentum is then applied: Sweden’s attack gets a significant 18% boost from recent form, while Tunisia’s is suppressed by a 13% drop. These adjustments push Sweden’s final expected goals (λ) to 1.61 and Tunisia’s to 1.03. Finally, the model runs these scoring rates through a Poisson distribution to generate exact scoreline probabilities, with 1-1, 1-0, and 2-1 emerging as the most likely results.

More World Cup Predictions

Where the Model Disagrees with the Odds: Sweden vs Tunisia

The model sees Sweden as a deserving favorite, but the bookmaker odds (1.36 for Sweden) are shorter than the model’s probability (51%), offering no value. However, the 'Both Teams to Score: Yes' market stands out: the model assigns a 51% chance, while bookmakers offer 5.5 (implied probability ~18%), representing significant value. Similarly, Over 2.5 goals (model: 49%, odds: 6.0, implied ~17%) is a high-value long shot worth considering.

Odds from Bet365. Positive edge = our model gives a higher probability than the odds imply. EV = expected value per £1 staked.

1X2

SelectionOddsModel %Edge
Sweden Win1.3350.9%-24.3%
Draw3.4024.9%-4.5%
Tunisia Win3.2524.2%-6.6%

Over/Under 2.5

SelectionOddsModel %Edge
Over 2.5value5.5049.0%+30.8%
Under 2.51.1451.0%-36.7%

Both Teams Score

SelectionOddsModel %Edge
Yesvalue5.5051.3%+33.1%
No1.1448.7%-39.0%

Best Value Markets Found by the Model

Over/Under 2.5: Over 2.5 @ 5.50EV +1.697
Both Teams Score: Yes @ 5.50EV +1.823

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.

Sweden 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.

SwedenSwedenlast 5 matches
V. GyokeresXI
6 goals in 5
100%

In exceptional form

A. IsakXI
2 goals in 5
40%

Regular contributor

Y. AyariXI
2 goals in 5
40%

Regular contributor

M. Svanbergsub/out
1 goal in 5
20%

Occasional threat

G. Nilssonsub/out
1 goal in 5
20%

Occasional threat

G. LagerbielkeXI
1 goal in 5
20%

Occasional threat

TunisiaTunisialast 5 matches
O. RekikXI
1 goal in 5
20%

Occasional threat

S. Tounektisub/out
1 goal in 5
20%

Occasional threat

Sweden’s recent form is solid, with two wins and two draws in their last five, averaging two goals scored per game and both teams scoring in every match. Tunisia, on the other hand, have struggled for goals (0.8 per game) and wins, with only one victory in their last five and a lower attacking momentum. Both sides’ international form data is somewhat limited, so caution is warranted in over-interpreting recent trends.

Sweden vs Tunisia — Last 1 Matches

SwedenSwedenLast 1 results
W5-1
Wvs Tunisia5-1

Strengths

  • +Solid recent form — 3+ wins in last 5
  • +Prolific attack — 2.8 goals/game (last 5)
  • +Both teams scoring in most recent games
  • +Over 2.5 goals in 100% of games this season

Concerns

  • −No clean sheets in last 5 matches
TunisiaTunisiaLast 1 results
L1-5
L@ Sweden1-5

Strengths

  • +Over 2.5 goals in 100% of games this season

Concerns

  • −Inconsistent — 3+ losses in last 5
  • −Struggling to score — 0.4 goals/game
  • −Leaky defence — 2.2 conceded/game

🚩 Sweden vs Tunisia Corners Prediction

high confidence
7.2expected total corners
Over 19%
Under 81%
Over 9.5Under 9.5

Our corners model projects roughly 3.7 corners for Sweden and 3.5 for Tunisia, for an expected total of 7.2. That makes the model lean Under 9.5 corners (81%). Over 8.5: 29% · Over 10.5: 11%.

More corners tips:Over 9.5 →Under 9.5 →

What History Says: Sweden vs Tunisia

There is no recent head-to-head data between Sweden and Tunisia, as these teams rarely meet in competitive fixtures. This lack of direct history adds a layer of uncertainty to the prediction, as tactical approaches and player matchups are largely untested at this level.

Sweden vs Tunisia Head-to-Head History

Last 1 meeting between these sides

1

Sweden wins

0

Draws

0

Tunisia wins

100%0% draws0%
15 Jun 26Sweden vs Tunisia5-1

Things to Watch: Sweden vs Tunisia

  • ⚠️International form data is limited and may not fully capture squad changes or tactical shifts.
  • ⚠️No recent head-to-head record increases uncertainty in player matchups and tactical dynamics.
  • ⚠️High-value bets (BTTS Yes, Over 2.5) come with inherent risk due to the low base rate of goals in World Cup openers.

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 Sweden 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.

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