Agent Lab — a live forecast exhibit · Applied AI
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Group E · Matchday 4 · 2026-06-14

Germany vs Curaçao

Houston, United States · neutral venue

Most likely scoreline
2–0 11.4%
81.8%
GER win
10.0%
Draw
4.2%
CUW win
Top scorelines
  • 2–0 11.4%
  • 3–0 10.9%
  • 1–0 9.2%
  • 4–0 9.0%
Total goals
0 to 10 goals · most likely → tallest

The agent’s call

3-agent ensemble · deepseek-chat
GER win
87.3%
Draw
8.7%
CUW win
4.0%

The prior model already heavily favours Germany (82% win), and every piece of supplied intel reinforces that direction. Germany's recent form is excellent, they have no key absences, and their squad is vastly superior in quality (players at top European clubs vs lower-division or mid-tier clubs). Curaçao are missing two players, including key attacker Kenji Gorre. The gap in class and form justifies a slight upward adjustment from the model's 82% to 87% home win probability, as the facts point even more strongly to a German victory than the model's already high estimate. Germany's expected goals (3.51) and Curaçao's (0.47) suggest a comfortable multi-goal win. The most likely scorelines centre on 3-0, 4-0, and 2-0, with a slight chance of Curaçao scoring a consolation (3-1, 4-1). The distribution is shifted toward higher German totals given their attacking talent and Curaçao's defensive weaknesses.

What the agent weighed
What the agent chose to investigate
The agent decided what to check on tavily — 8 sources kept:
  • “Germany vs Curaçao 2026-06-14 lineup news” match · 3 hits
    Late lineup changes or key player absences could shift the forecast.
  • “Germany squad injuries June 2026” GER · 3 hits
    Key German players might be injured or rested before the World Cup.
  • “Curaçao squad injuries June 2026” CUW · 2 hits
    Additional Curaçao absences beyond known ones could affect their strength.
Agent scorelines
generated 2026-06-13
Last 5 — GER
+0.80 pts/match vs model expectation · opp. avg #46
  • SLO #52 +0.5
  • SUI #17 +1.5
  • GHA #59 +0.4
  • FIN #69 +0.4
  • USA #33 +1.1
GF / GA last 10: 28 / 8
Last 5 — CUW
-0.25 pts/match vs model expectation · opp. avg #89
  • JAM #94 +0.1
  • CHI #96 -1.2
  • AUS #28 -0.3
  • SCO #38 -0.3
  • ARU #188 +0.2
GF / GA last 10: 19 / 14
Head-to-head (last 5)

No prior meetings in the dataset.

▸ Full score grid (7×7)
P(home goals × away goals), %
0
1
2
3
4
5
6
0
4.5
1.9
0.5
0.1
0.0
0.0
0.0
1
9.2
4.0
1.0
0.2
0.0
0.0
0.0
2
11.4
4.9
1.3
0.3
0.0
0.0
0.0
3
10.9
4.7
1.2
0.2
0.0
0.0
0.0
4
9.0
3.9
1.0
0.2
0.0
0.0
0.0
5
6.7
2.9
0.8
0.2
0.0
0.0
0.0
6
4.6
2.0
0.5
0.1
0.0
0.0
0.0

Rows = GER goals; columns = CUW 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)
3.51
GER
0.47
CUW

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.