Agent Lab — a live forecast exhibit · Applied AI
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Group J · Matchday 17 · 2026-06-27

Jordan vs Argentina

Arlington, United States · neutral venue

Full time JOR 1–3 ARG
The agent called Argentina (83%) — Better than the model call right

The forecast below is what the agent published before kickoff.

Most likely scoreline
0–2 14.4%
6.2%
JOR win
15.6%
Draw
77.3%
ARG win
Top scorelines
  • 0–2 14.4%
  • 0–1 14.2%
  • 0–3 11.4%
  • 0–0 8.4%
Total goals
0 to 10 goals · most likely → tallest

The agent’s call

3-agent ensemble · deepseek-chat
JOR win
4.7%
Draw
12.3%
ARG win
83.0%

Argentina are overwhelming favourites. The model already gives them 78% win probability, and the squad value gap (53.4x) and recent form (WWWWW vs DLLLL) both point even more strongly to Argentina. The only tempering factor is Messi starting on the bench, but Argentina's depth (Lautaro, Álvarez, Mac Allister) is still far superior to Jordan's entire squad. I increase Argentina's win probability to 83%, slightly above the model, because the squad value and form signal are stronger than the model's prior. Draw and Jordan win probabilities are reduced accordingly. Argentina's expected goals (2.52) and Jordan's (0.39) suggest a low-scoring game for Jordan. Most likely scorelines are 0-2, 0-1, 0-3. The 0-0 draw is possible but unlikely given Argentina's attacking quality. Messi's bench role slightly reduces the chance of a blowout, but Argentina should still score at least two.

What the agent weighed
What the agent chose to investigate
The agent decided what to check on tavily — 9 sources kept:
  • “Jordan vs Argentina 2026-06-28 lineup news” match · 3 hits
    Late team news could shift the forecast if key players are rested or injured.
  • “Argentina squad 2026 Copa America injuries suspensions” ARG · 3 hits
    Messi or other stars missing would drastically change Argentina's strength.
  • “Jordan squad 2026 Copa America key players availability” JOR · 3 hits
    Jordan's best players being out could make them even bigger underdogs.
Agent scorelines
generated 2026-06-27
Last 5 — JOR
-0.54 pts/match vs model expectation · opp. avg #24
  • NIG #38 +0.1
  • SUI #16 -0.3
  • COL #8 -0.3
  • AUT #23 -0.7
  • ALG #33 -0.8
GF / GA last 10: 14 / 18
Last 5 — ARG
+0.57 pts/match vs model expectation · opp. avg #57
  • ZAM #79 +0.2
  • HON #89 +0.2
  • ICE #60 +0.3
  • ALG #33 +0.7
  • AUT #23 +0.9
GF / GA last 10: 26 / 2
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
8.4
14.2
14.4
11.4
7.7
4.7
2.7
1
3.3
5.6
5.7
4.5
3.0
1.9
1.0
2
0.8
1.3
1.3
1.1
0.7
0.4
0.2
3
0.1
0.2
0.2
0.2
0.1
0.1
0.0
4
0.0
0.0
0.0
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 = JOR goals; columns = ARG 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)
0.43
JOR
2.56
ARG

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.