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

Tunisia vs Netherlands

Kansas City, United States · neutral venue

Full time TUN 1–3 NED
The agent called Netherlands (65%) — Better than the model call right

The forecast below is what the agent published before kickoff.

Most likely scoreline
0–1 13.9%
15.4%
TUN win
22.1%
Draw
62.3%
NED win
Top scorelines
  • 0–1 13.9%
  • 0–2 11.6%
  • 0–0 10.0%
  • 1–1 8.7%
Total goals
0 to 10 goals · most likely → tallest

The agent’s call

3-agent ensemble · deepseek-chat
TUN win
14.0%
Draw
21.3%
NED win
64.7%

The model already assigns a strong away win probability (62%) to Netherlands, and the supplied intel overwhelmingly supports that lean. Tunisia is in terrible form (5 straight losses), just fired their coach, and was thrashed 3-0 by Japan in their last match. Netherlands has a vastly superior squad (ranked 6th vs 39th in market value) with elite players like Gakpo and van Dijk. No injuries or conditions mitigate this gap. I slightly nudge the away win from 62% to 63% to reflect Tunisia's ongoing turmoil and the clear talent disparity, but the prior is already well-calibrated. The model expects Netherlands to score 1.90 goals and Tunisia 0.71, with 0-1 and 0-2 as top scorelines. Tunisia's defensive disarray under a new coach and Netherlands' attacking quality (Gakpo, Depay, Malen) suggest Netherlands can score multiple goals. However, Tunisia may be defensively compact, limiting the margin. I keep the model's scoreline distribution largely intact, with 0-1 and 0-2 leading, and a slight chance of 0-3 given the form gap.

What the agent weighed
What the agent chose to investigate
The agent decided what to check on tavily — 9 sources kept:
  • “Tunisia vs Netherlands 2026-06-25 team news injuries suspensions” match · 3 hits
    Late fitness updates or suspensions could shift the balance.
  • “Netherlands squad 2026 World Cup lineup changes” NED · 3 hits
    Any key player absent or tactical shift affects forecast.
  • “Tunisia squad 2026 World Cup injuries” TUN · 3 hits
    Missing key players like Msakni or Khazri changes outlook.
Agent scorelines
generated 2026-06-25
Last 5 — TUN
-0.76 pts/match vs model expectation · opp. avg #23
  • CAN #41 +0.0
  • AUT #23 -0.8
  • BEL #10 -0.4
  • SWE #24 -1.0
  • JPN #18 -0.9
GF / GA last 10: 9 / 21
Last 5 — NED
-0.12 pts/match vs model expectation · opp. avg #32
  • ECU #17 -0.9
  • ALG #33 -2.3
  • UZB #69 +0.4
  • JPN #18 -0.7
  • SWE #24 +1.1
GF / GA last 10: 25 / 8
Head-to-head (last 5)
  • 2009-02-11 Tunisia 1–1 Netherlands
  • 1994-01-19 Tunisia 2–2 Netherlands
  • 1978-04-05 Tunisia 0–4 Netherlands
▸ Full score grid (7×7)
P(home goals × away goals), %
0
1
2
3
4
5
6
0
10.0
13.9
11.6
7.5
4.2
2.1
1.0
1
6.3
8.7
7.3
4.7
2.6
1.3
0.6
2
2.4
3.3
2.8
1.8
1.0
0.5
0.2
3
0.7
1.0
0.8
0.5
0.3
0.1
0.1
4
0.2
0.2
0.2
0.1
0.1
0.0
0.0
5
0.0
0.1
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 = TUN goals; columns = NED 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)
0.72
TUN
1.93
NED

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.