Agent Lab — a live forecast exhibit · Applied AI
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Group I · Matchday 20 · 2026-06-30

France vs Sweden

New-York, nan

Full time FRA 3–0 SWE

The forecast below is what the agent published before kickoff.

Most likely scoreline
1–0 10.5%
67.6%
FRA win
17.9%
Draw
13.8%
SWE win
Top scorelines
  • 1–0 10.5%
  • 2–0 10.3%
  • 3–0 7.9%
  • 1–1 7.4%
Total goals
0 to 10 goals · most likely → tallest
Last 5 — FRA
+0.57 pts/match vs model expectation · opp. avg #42
  • CIV #26 -2.3
  • NOR #65 +0.4
  • SEN #21 +1.1
  • IRQ #80 +0.4
  • NOR #19 +1.1
GF / GA last 10: 28 / 10
Last 5 — SWE
-0.19 pts/match vs model expectation · opp. avg #27
  • NOR #19 -1.0
  • GRE #36 -0.7
  • TUN #53 +1.3
  • NED #9 -0.8
  • JPN #18 -0.2
GF / GA last 10: 18 / 21
Head-to-head (last 5)
  • 2020-11-17 France 4–2 Sweden
  • 2020-09-05 Sweden 0–1 France
  • 2017-06-09 Sweden 2–1 France
  • 2016-11-11 France 2–1 Sweden
  • 2014-11-18 France 1–0 Sweden
▸ Full score grid (7×7)
P(home goals × away goals), %
0
1
2
3
4
5
6
0
6.4
4.5
1.9
0.6
0.2
0.0
0.0
1
10.5
7.4
3.2
1.0
0.3
0.1
0.0
2
10.3
7.3
3.1
1.0
0.3
0.1
0.0
3
7.9
5.6
2.4
0.8
0.2
0.1
0.0
4
5.2
3.7
1.6
0.5
0.1
0.0
0.0
5
3.0
2.2
0.9
0.3
0.1
0.0
0.0
6
1.7
1.2
0.5
0.2
0.0
0.0
0.0

Rows = FRA goals; columns = SWE 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)
2.44
FRA
0.83
SWE

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.