Borussia Dortmund vs SV 07 Elversberg

Borussia Dortmund
#2 · 21 pts
2–1
Full time
Half-time 0–0
SV 07 Elversberg
#7 · 13 pts

AI prediction · locked November 5, 2026 2:36 pm

Dortmund 64%Draw 21%Elversberg 15%
Over 2.555%
Both score50%
Model goals2.02–0.87

Model pick 2–0

Result after 90 minutes: 2–1. The model tipped 2–0 and scored 1 point.

Most likely scores

2–0 · 11.4%1–0 · 11.3%2–1 · 9.9%1–1 · 9.8%3–0 · 7.6%3–1 · 6.6%

Why

The model expects Dortmund to score 2.02 goals: league home average 2.12 × Dortmund home attack 0.97 × Elversberg away defence 0.97.

It expects Elversberg to score 0.87 goals: league away average 1.38 × Elversberg away attack 0.88 × Dortmund home defence 0.72.

Based on 4 home games for Dortmund, 4 away games for Elversberg and 72 finished matches in the competition.

Attack above 1.00 means scoring more than the league average; defence above 1.00 means conceding more than average (weaker).

Most likely outcome: Dortmund (64%). This is an estimate, not a certainty.

Form & stats this competition season

DortmundElversberg
Table position#2 · 21 pts#7 · 13 pts
Last 5 (newest first)WDWDDLWLWL
Home W-D-L (goals)4-1-0 (10:3)3-0-1 (12:8)
Away W-D-L (goals)2-2-0 (6:4)1-1-3 (5:10)
Goals per game at home (for/against)2.00 / 0.603.00 / 2.00
Goals per game away (for/against)1.50 / 1.001.00 / 2.00
xGn/an/a

xG is not available from the current data source (football-data.org). Competition averages: 2.12 home and 1.36 away goals per match (81 finished matches).

Model assumptions & limitations

Assumptions

  • Goals for each team follow independent Poisson distributions.
  • Expected goals (λ) = league average home/away goals × attack strength × opponent defence strength.
  • Strengths use only this competition and season: home form for the home side, away form for the away side. If either team has too few home/away games, overall form (all games) is used instead and this is stated in the explanation.
  • Strengths are shrunk towards the league average when few games have been played.
  • Predictions are for the score after regular time (90 minutes plus stoppage time).
  • The model's tipped score is the one with the highest expected points under the game's scoring system, not necessarily the most likely single score.

Limitations

  • No injuries, suspensions, line-ups, transfers, rotation or motivation are considered.
  • No xG or shot data is used – the current data source does not provide it.
  • Results in other competitions (e.g. domestic league for Champions League teams) are not included.
  • Independent Poisson models tend to slightly underestimate draws.
  • Probabilities are estimates with considerable uncertainty, not facts or guarantees.

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