Agent Lab — a live forecast exhibit · Applied AI
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Group I · Matchday 12 · 2026-06-22

Norway vs Senegal

East Rutherford, United States · neutral venue

Most likely scoreline
0–0 14.1%
37.1%
NOR win
29.0%
Draw
33.8%
SEN win
Top scorelines
  • 0–0 14.1%
  • 1–0 12.9%
  • 0–1 12.2%
  • 1–1 11.1%
Total goals
0 to 10 goals · most likely → tallest

The agent’s call

3-agent ensemble · deepseek-chat
NOR win
40.0%
Draw
28.0%
SEN win
32.0%

The model and key-player analysis both point to a slight Norway advantage, driven by Erling Haaland's world-class output. No injuries, neutral conditions, and similar recent form leave the prior largely intact, but Haaland's presence justifies a modest upward adjustment to Norway's win probability from 37% to 40%, with a corresponding small drop in Senegal's chances. Expected goals (Norway 1.12, Senegal 1.04) suggest a low-scoring affair. The most likely scorelines reflect that: 1-0 Norway, 1-1 draw, 0-0, and 0-1 Senegal. Haaland's quality raises the chance of a 2-1 or 2-0 Norway win, but Senegal's defensive solidity keeps the match tight.

What the agent weighed
What the agent checked on the web
Searched tavily for NOR · SEN — 6 sources kept
Agent scorelines
generated 2026-06-11
Last 5 — NOR
+0.27 pts/match vs model expectation · opp. avg #15
  • ITA #13 +2.0
  • NED #9 -0.8
  • SUI #17 -0.5
  • SWE #24 +1.2
  • MAR #12 +0.1
GF / GA last 10: 31 / 8
Last 5 — SEN
-0.38 pts/match vs model expectation · opp. avg #49
  • MAR #12 -0.9
  • PER #42 +1.4
  • GAM #89 +0.5
  • USA #33 -1.3
  • KSA #70 -0.8
GF / GA last 10: 16 / 9
Head-to-head (last 5)
  • 2006-03-01 Senegal 2–1 Norway
▸ Full score grid (7×7)
P(home goals × away goals), %
0
1
2
3
4
5
6
0
14.1
12.2
6.3
2.6
0.9
0.3
0.1
1
12.9
11.1
5.8
2.3
0.8
0.3
0.1
2
7.1
6.1
3.2
1.3
0.4
0.1
0.0
3
3.0
2.6
1.4
0.5
0.2
0.1
0.0
4
1.1
1.0
0.5
0.2
0.1
0.0
0.0
5
0.4
0.3
0.2
0.1
0.0
0.0
0.0
6
0.1
0.1
0.1
0.0
0.0
0.0
0.0

Rows = NOR goals; columns = SEN 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)
1.12
NOR
1.05
SEN

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.