Agent Lab — a live forecast exhibit · Applied AI
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Group B · Matchday 14 · 2026-06-24

Canada vs Switzerland

Vancouver, Canada

Most likely scoreline
0–1 11.3%
30.2%
CAN win
25.3%
Draw
44.4%
SUI win
Top scorelines
  • 0–1 11.3%
  • 1–1 10.4%
  • 0–0 10.0%
  • 1–0 9.2%
Total goals
0 to 10 goals · most likely → tallest

The agent’s call

3-agent ensemble · deepseek-chat
CAN win
29.3%
Draw
26.3%
SUI win
44.3%

The model's prior favours Switzerland (44% away win) and the supplied intel reinforces that lean. Key player analysis shows Switzerland's core (Xhaka, Ndoye, Embolo) outperforms Canada's in recent form, and the news that Alphonso Davies missed the opener is a significant blow to Canada's defence and attack. Recent form slightly favours Canada (2 wins vs 0) but Switzerland's draws include tougher opposition. Conditions are neutral. Thus I keep the model's away win probability at 44%, slightly increase draw to 26% (given Canada's resilience at home) and keep home win at 30%. The model expects low scoring (Canada 1.13, Switzerland 1.48 expected goals). Switzerland's superior key players and Canada's Davies absence suggest Switzerland is more likely to score, but Canada's home advantage and decent form keep it close. 0-1 is the top scoreline (11%), followed by 1-1 (10%) and 0-0 (10%). I keep the model's scoreline distribution as no strong reason to shift.

What the agent weighed
What the agent checked on the web
Searched tavily for CAN · SUI — 6 sources kept
Agent scorelines
generated 2026-06-11
Last 5 — CAN
-0.08 pts/match vs model expectation · opp. avg #53
  • VEN #45 +1.6
  • ICE #61 -0.9
  • TUN #43 -0.6
  • UZB #54 +1.3
  • BIH #63 -0.9
GF / GA last 10: 11 / 4
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)
  • 2002-05-15 Switzerland 1–3 Canada
▸ Full score grid (7×7)
P(home goals × away goals), %
0
1
2
3
4
5
6
0
10.0
11.3
7.7
4.1
1.9
0.8
0.3
1
9.2
10.4
7.1
3.8
1.7
0.7
0.3
2
5.0
5.7
3.9
2.1
0.9
0.4
0.1
3
2.2
2.5
1.7
0.9
0.4
0.2
0.1
4
0.8
0.9
0.6
0.3
0.2
0.1
0.0
5
0.3
0.3
0.2
0.1
0.0
0.0
0.0
6
0.1
0.1
0.1
0.0
0.0
0.0
0.0

Rows = CAN 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)
1.13
CAN
1.47
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.