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Group B · Matchday 3 · 2026-06-13

Qatar vs Switzerland

Santa Clara, United States · neutral venue

Most likely scoreline

0–1 12.2%

12.4%

QAT win

18.6%

Draw

68.4%

SUI win

Top scorelines

0–1 12.2%
0–2 11.5%
0–3 8.5%
0–0 7.7%

Total goals

0 to 10 goals · most likely → tallest

The agent’s call

3-agent ensemble · deepseek-chat

QAT win

13.0%

Draw

20.0%

SUI win

67.0%

The model strongly favours Switzerland (68% away win), and the supplied intel supports that: Qatar's recent form is worse against weaker opponents, and Switzerland's key players are at a higher club level. The head-to-head is a single old result, conditions are neutral, and no injuries affect either side. I keep the prior essentially unchanged, nudging away win slightly to 69% to reflect the form and player quality gap. Switzerland's expected goals (2.31) and Qatar's (0.71) suggest a low-scoring game for Qatar and moderate for Switzerland. The most likely scorelines are 0-1, 0-2, and 0-3, consistent with the model. A draw or Qatar win is less probable given the gap in quality and form.

What the agent weighed

Recent form

Qatar has LDLLD in last 5, -1.02 pts/match vs expectation vs avg opp rank #85; Switzerland has DLDWD, -0.42 pts/match vs expectation vs avg opp rank #37. Both underperform, but Qatar's underperformance is more severe and against weaker opposition. → favours Switzerland
Head-to-head

Only one meeting: Switzerland 0-1 Qatar in 2018. Very old and limited sample, likely not predictive. → no bearing
Availability

No injuries reported for either side. → no bearing
Key players

Qatar's key attackers (Afif, Ali, Al Haydos) play in QSL (Al Sadd), while Switzerland's key players (Embolo, Xhaka, Ndoye) play in top European leagues (Rennes, Sunderland, Nottingham Forest). Swiss players have higher club level and recent ratings (e.g., Ndoye 7.85, Xhaka 7.55) vs Qatar's best (Afif 7.95 but in weaker league). → favours Switzerland
Recent news

Fox Sports article (12 Jun 2026) provides odds/prediction for this match; Sky Sports (2 Jun 2026) lists Group B fixtures. No specific squad or tactical news that changes the assessment. → no bearing
Conditions

Levi's Stadium: 21.4°C, clear, humidity 55%, wind 11.6 km/h. Mild conditions, no extreme heat or altitude; roof not mentioned but climate is comfortable. → no bearing
Model vs market

Statistical model gives away win 68%, draw 19%, home win 12%. No market lines supplied to compare. → no bearing

What the agent chose to investigate

The agent decided what to check on tavily — 3 sources kept:

“Qatar vs Switzerland 2026-06-13 lineup injuries suspensions” match · 3 hits
Late fitness or lineup news could significantly affect the match outcome.

Agent scorelines

0–1 19%
0–2 19%
0–3 14%
0–0 12%
1–2 11%
1–1 11%

generated 2026-06-13

Last 5 — QAT

-1.02 pts/match vs model expectation · opp. avg #85

PAL #101 -1.9
SYR #93 -0.8
TUN #43 -1.0
REP #50 -0.7
EL #139 -1.2

GF / GA last 10: 7 / 15

Last 5 — SUI

-0.42 pts/match vs model expectation · opp. avg #37

KOS #56 -0.8
GER #7 -1.3
NOR #19 -0.2
JOR #73 +0.6
AUS #28 -0.9

GF / GA last 10: 22 / 8

Head-to-head (last 5)

2018-11-14 Switzerland 0–1 Qatar

▸ Full score grid (7×7)

P(home goals × away goals), %

7.7

12.2

11.5

8.5

5.4

3.1

1.6

4.8

7.6

7.2

5.3

3.3

1.9

1.0

1.8

2.8

2.7

2.0

1.2

0.7

0.4

0.5

0.8

0.6

0.4

0.2

0.1

0.2

0.1

0.0

Rows = QAT goals; columns = SUI goals. Above-diagonal cells are home wins; diagonal = draws; below = away wins. Truncated at 6 — the joint mass past that is < 1 %.

Expected goals (Poisson rate, λ)

0.71

QAT

2.31

SUI

Independent-Poisson rates. W/D/L and the score grid integrate the full 13×13 joint under these two parameters.

News context — injuries, suspensions, projected XI — is not part of the model, which sees only past results.