Agent Lab — a live forecast exhibit · Applied AI
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Group E · Matchday 15 · 2026-06-25

Curaçao vs Ivory Coast

Philadelphia, United States · neutral venue

Full time CUW 0–2 CIV
The agent called Ivory Coast (74%) — Better than the model call right

The forecast below is what the agent published before kickoff.

Most likely scoreline
0–1 16.6%
10.4%
CUW win
21.4%
Draw
68.0%
CIV win
Top scorelines
  • 0–1 16.6%
  • 0–2 14.1%
  • 0–0 11.7%
  • 0–3 9.3%
Total goals
0 to 10 goals · most likely → tallest

The agent’s call

3-agent ensemble · deepseek-chat
CUW win
8.0%
Draw
17.7%
CIV win
74.3%

The model's prior (67% away win) is already strong, and every supplied factor reinforces an Ivory Coast victory: they are in excellent form against strong opponents, their squad is vastly more valuable, their key players are at elite clubs, and Curaçao are missing a key attacker. I raise the away win probability to 74% to reflect the cumulative evidence, while keeping a small draw chance (18%) given Ivory Coast's occasional inconsistency (recent loss) and Curaçao's ability to defend deep. The home win is very unlikely (8%). Ivory Coast are heavy favourites to score multiple goals (model xG 1.93) while Curaçao struggle to create (xG 0.52). The most likely scorelines are 0-1 (16%), 0-2 (14%), and 0-3 (10%), reflecting Ivory Coast's attacking quality and Curaçao's defensive limitations. A 0-0 draw (9%) is possible if Ivory Coast are wasteful, but the overall expectation is a comfortable away win with 1-2 goals conceded by Curaçao.

What the agent weighed
What the agent chose to investigate
The agent decided what to check on tavily — 9 sources kept:
  • “Ivory Coast squad injuries 2026-06-25” CIV · 3 hits
    Check for late fitness issues or key player absences that could shift the forecast.
  • “Curaçao lineup news 2026-06-25” CUW · 3 hits
    Confirm if any other key players are unavailable beyond the two already known.
  • “Philadelphia weather forecast June 25 2026” match · 3 hits
    Extreme weather could affect playing conditions and match outcome.
Agent scorelines
generated 2026-06-25
Last 5 — CUW
+0.16 pts/match vs model expectation · opp. avg #56
  • AUS #29 -0.3
  • SCO #39 -0.3
  • ARU #186 +0.2
  • GER #7 -0.1
  • ECU #17 +0.7
GF / GA last 10: 17 / 19
Last 5 — CIV
+1.04 pts/match vs model expectation · opp. avg #22
  • KOR #40 +1.5
  • SCO #39 +1.6
  • FRA #5 +2.5
  • ECU #17 +1.9
  • GER #7 -0.8
GF / GA last 10: 19 / 9
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
11.7
16.6
14.1
9.3
5.3
2.7
1.3
1
5.4
7.6
6.4
4.3
2.4
1.2
0.6
2
1.5
2.1
1.8
1.2
0.7
0.3
0.2
3
0.3
0.4
0.4
0.3
0.1
0.1
0.0
4
0.1
0.1
0.1
0.0
0.0
0.0
0.0
5
0.0
0.0
0.0
0.0
0.0
0.0
0.0
6
0.0
0.0
0.0
0.0
0.0
0.0
0.0

Rows = CUW goals; columns = CIV 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)
0.5
CUW
1.97
CIV

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.