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Group K · Matchday 7 · 2026-06-17

Uzbekistan vs Colombia

Mexico City, Mexico · neutral venue

Most likely scoreline
0–1 18.2%
15.0%
UZB win
26.9%
Draw
58.0%
COL win
Top scorelines
  • 0–1 18.2%
  • 0–0 15.6%
  • 0–2 12.8%
  • 1–1 9.1%
Total goals
0 to 10 goals · most likely → tallest

The agent’s call

3-agent ensemble · deepseek-chat
UZB win
13.3%
Draw
26.3%
COL win
60.3%

The statistical model already gives Colombia a clear edge (58% win probability), and all supplied intel reinforces that lean without creating a reason to diverge. Colombia's superior recent form (vs stronger opponents), much higher squad market value (5.2x), and key players at elite clubs contrast sharply with Uzbekistan's underperformance and weaker talent base. The high altitude of Mexico City may further benefit Colombia, who are more accustomed to such conditions. Therefore, I keep the model's prior unchanged. The model expects a low-scoring match (Uzbekistan 0.56 xG, Colombia 1.53 xG), and the intel does not suggest a goal-fest. Colombia's defensive solidity and Uzbekistan's limited attack point to a 1-0 or 2-0 win for Colombia, with a non-negligible chance of a 0-0 draw if Uzbekistan defends deep. The top scorelines reflect this: 0-1, 0-0, 0-2.

What the agent weighed
What the agent chose to investigate
The agent decided what to check on tavily — 9 sources kept:
  • “Uzbekistan vs Colombia 2026-06-18 lineup news” match · 3 hits
    Late fitness or lineup changes could shift the match forecast.
  • “Colombia squad injuries suspensions June 2026” COL · 3 hits
    Key player absences would significantly affect Colombia's strength.
  • “Uzbekistan squad injuries suspensions June 2026” UZB · 3 hits
    Key player absences would significantly affect Uzbekistan's strength.
Agent scorelines
generated 2026-06-16
Last 5 — UZB
-0.44 pts/match vs model expectation · opp. avg #55
  • CHI #94 -0.9
  • GAB #84 +0.9
  • VEN #45 -0.4
  • CAN #44 -1.0
  • NED #9 -0.5
GF / GA last 10: 14 / 9
Last 5 — COL
-0.10 pts/match vs model expectation · opp. avg #37
  • AUS #25 +1.2
  • CRO #15 -1.6
  • FRA #5 -1.2
  • COS #68 +0.5
  • JOR #71 +0.4
GF / GA last 10: 25 / 10
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
15.6
18.2
12.8
7.0
3.3
1.4
0.5
1
7.8
9.1
6.4
3.5
1.6
0.7
0.3
2
2.3
2.7
1.9
1.0
0.5
0.2
0.1
3
0.6
0.6
0.5
0.2
0.1
0.0
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 = UZB goals; columns = COL 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)
0.56
UZB
1.53
COL

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.