🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

📋

Poisson model favours Borussia Dortmund (60%) — form and H2H data both point in the same direction as Borussia Dortmund face Borussia Mönchengladbach.

✍️ Match Preview

Pre-Match Analysis

Borussia Dortmund and Borussia Mönchengladbach meet at Signal Iduna Park in Bundesliga, Regular Season - 27. This fixture gets under way on Saturday 20 March 2027 at 14:30 UTC.

Current Form

Borussia Dortmund's overall Bundesliga record this term: 7W 0D 3L from 10 games (2.10 PPG). Last five: L W L W W. Offensively they are averaging 1.90 goals per game, with 0.90 conceded. 4 clean sheets in 10 games (40%) reflects a solid defensive base. Borussia Dortmund haven't played a Bundesliga game yet this season, so this record is entirely from last season.

Borussia Dortmund's home record at Signal Iduna Park: 8W 0D 2L from 10 Bundesliga appearances (2.40 PPG). They are averaging 2.70 goals per home game — a prolific scoring rate in front of their own fans. 4 home clean sheets from 10 games (40%) — a solid defensive base on their own ground.

Borussia Mönchengladbach have collected 1.30 PPG across 10 Bundesliga outings this season: 3W 4D 3L. Last five: D D W L W. They are scoring at 1.50 per game and conceding 1.40. 4 clean sheets in 10 outings (40%) underlines their defensive solidity. Borussia Mönchengladbach haven't played a Bundesliga game yet this season, so this record is entirely from last season.

When travelling in Bundesliga this season, Borussia Mönchengladbach have posted 0W 4D 6L from 10 away outings — 0.40 PPG. Away from home they average 0.80 goals scored and 2.20 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context. Their away PPG of 0.40 is notably below their overall 1.30 — form away from home has been a clear weakness this season.

Form favours the hosts. Borussia Dortmund's 2.10 PPG return is 0.80 points per game ahead of Borussia Mönchengladbach's 1.30 — a genuine gap in recent results that provides a statistically grounded case for backing the home side.

Head-to-Head

Historically, Borussia Dortmund have had the better of this match-up — 6 wins from 10 meetings, with Borussia Mönchengladbach managing just 3 victories and 1 draws shared.

These two sides have produced goals at a consistent rate historically, averaging 3.9 per game across 10 meetings. That scoring profile provides genuine support for the Over 2.5 angle. The most recent clash, on 3 May 2026, ended 0–1 with Borussia Mönchengladbach winning.

From a betting standpoint, the H2H backs both Borussia Dortmund and goals. The home side's 6 wins from 10 meetings, combined with an average of 3.9 goals per game, gives the home win and Over 2.5 combination a historically grounded case.

Trading & In-Play

Borussia Dortmund — key trading statistics (34 games, 17 at home): they score before half-time in 94% of fixtures in home games; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 60% of those occasions; they lead at the break 62% of the time; BTTS occurs in 41% of their matches (home games); Over 2.5 goals lands in 59% of games (home games); they keep a clean sheet 44% of the time.

Borussia Mönchengladbach — key trading statistics (34 games, 17 at away): they score before half-time in 59% of fixtures in away games; when goalless at HT, a second-half goal follows 62% of the time; BTTS occurs in 47% of their matches (away games); Over 2.5 goals lands in 53% of games (away games); Over 3.5 in 38%; they fail to score in 35% of games.

BTTS rates are mixed from the trading data — Borussia Dortmund 50% versus Borussia Mönchengladbach 41%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Borussia Dortmund 56% | Borussia Mönchengladbach 53%).

Poisson Model

The Poisson distribution model projects Borussia Dortmund 2.15 xG and Borussia Mönchengladbach 1.15 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Borussia Dortmund attack 1.158 / defence 0.912 | Borussia Mönchengladbach attack 0.860 / defence 1.019. League average goals — home 1.822 / away 1.468. Data: 34 Borussia Dortmund games / 34 Borussia Mönchengladbach games used (PrevSeason). Note: current-season sample is too small — prior-season data is carrying the calculation. Model confidence is reduced; treat probabilities as directional rather than precise.

Result probabilities: Borussia Dortmund 60% | Draw 21% | Borussia Mönchengladbach 19%. Fair-value odds: Borussia Dortmund 1.67 | Draw 4.76 | Borussia Mönchengladbach 5.26. The model has a clear lean to Borussia Dortmund (60%) — a 41pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 64% | BTTS probability 61% | Total xG 3.30. Over 2.5 holds a meaningful probability edge at 64% — the 3.30 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 61% reflects that both xG figures (2.15 / 1.15) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Picks & Verdict

On the Poisson output, Borussia Dortmund are the pick at 60% — clear model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw No Bet is worth pricing alongside the outright: 21% draw probability makes the stalemate a live outcome even at this conviction level.

On the goals line, Poisson's 3.30 combined xG gives a 64% probability to Over 2.5 — strong, supported by form averaging 3.5 goals per game and H2H averaging 3.9 goals per meeting.

The Poisson model's BTTS call is Yes at 61%. Form rates corroborate: Borussia Dortmund 50% | Borussia Mönchengladbach 60% BTTS from recent games.

The Poisson model is drawing on PrevSeason data (34 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights