Statistics / Football / Germany. Bundesliga / Borussia Mönchengladbach vs 1899 Hoffenheim

Borussia Mönchengladbach vs 1899 Hoffenheim Statistics & Analysis

Borussia Mönchengladbach Borussia Mönchengladbach
May 16, 2026 - 13:30
4 1.37
0 1.34
xG Accuracy: 34%
1899 Hoffenheim 1899 Hoffenheim
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Borussia Mönchengladbach Borussia Mönchengladbach ✔ Correct
  • Correct Score Insights 1-1 4-0 ✖ Incorrect

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Bundesliga
  • Fixture: Borussia Mönchengladbach vs 1899 Hoffenheim
  • Kickoff: 2026-05-16 13:30:00
  • 1X2 (model): Home 36.2% · Draw 28.9% · Away 34.8%
  • xG (showing): Borussia Mönchengladbach 1.37 — 1899 Hoffenheim 1.34 (total xG ≈ 2.71)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 49.1% · Implied: 29.7% · Probability edge: +19.4 pts · Est. EV: +62.0%
  • BTTS (model): Yes 56.6% · No 43.4%
  • Correct score (top bin): 1-1 (12.2%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

1X2 can look balanced even when side markets show clearer structure.

Best Bet + Reason

Primary pick from the decision engine: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

Risk Factors

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 18, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Bundesliga Bundesliga — Standings
# TEAM MP W D L PTS
1 Bayern München 34 28 5 1 89
2 Borussia Dortmund 34 22 7 5 73
3 RB Leipzig 34 20 5 9 65
4 VfB Stuttgart 34 18 8 8 62
5 1899 Hoffenheim 34 18 7 9 61
6 Bayer Leverkusen 34 17 8 9 59
7 SC Freiburg 34 13 8 13 47
8 Eintracht Frankfurt 34 11 11 12 44
9 FC Augsburg 34 12 7 15 43
10 FSV Mainz 05 34 10 10 14 40
11 Union Berlin 34 10 9 15 39
12 Borussia Mönchengladbach 34 9 11 14 38
13 Hamburger SV 34 9 11 14 38
14 1. FC Köln 34 7 11 16 32
15 Werder Bremen 34 8 8 18 32
16 VfL Wolfsburg 34 7 8 19 29
17 1. FC Heidenheim 34 6 8 20 26
18 FC St. Pauli 34 6 8 20 26
# TEAM MP GS GC +/- PTS
1 Bayern München 34 122 36 +86 89
2 VfB Stuttgart 34 71 49 +22 62
3 Borussia Dortmund 34 70 34 +36 73
4 Bayer Leverkusen 34 68 47 +21 59
5 RB Leipzig 34 66 47 +19 65
6 1899 Hoffenheim 34 65 52 +13 61
7 Eintracht Frankfurt 34 61 65 -4 44
8 SC Freiburg 34 51 57 -6 47
9 1. FC Köln 34 49 63 -14 32
10 FC Augsburg 34 45 61 -16 43
11 VfL Wolfsburg 34 45 69 -24 29
12 FSV Mainz 05 34 44 53 -9 40
13 Union Berlin 34 44 58 -14 39
14 Borussia Mönchengladbach 34 42 53 -11 38
15 1. FC Heidenheim 34 41 72 -31 26
16 Hamburger SV 34 40 54 -14 38
17 Werder Bremen 34 37 60 -23 32
18 FC St. Pauli 34 29 60 -31 26
# TEAM MP xG xGC +/- PTS
1 Bayern München 34 97.2 37.9 +59.3 89
2 Borussia Dortmund 34 63.4 38.9 +24.5 73
3 Bayer Leverkusen 34 64.0 44.8 +19.2 59
4 RB Leipzig 34 66.3 50.2 +16.1 65
5 VfB Stuttgart 34 60.1 49.8 +10.3 62
6 1899 Hoffenheim 34 55.1 51.4 +3.7 61
7 SC Freiburg 34 48.6 47.8 +0.8 47
8 FSV Mainz 05 34 52.9 54.6 -1.7 40
9 1. FC Köln 34 50.9 54.9 -4.0 32
10 Eintracht Frankfurt 34 45.4 50.1 -4.7 44
11 Union Berlin 34 44.9 52.2 -7.3 39
12 Borussia Mönchengladbach 34 42.7 52.5 -9.8 38
13 Werder Bremen 34 40.4 54.3 -13.9 32
14 VfL Wolfsburg 34 47.1 61.8 -14.7 29
15 1. FC Heidenheim 34 47.5 63.4 -15.9 26
16 FC Augsburg 34 45.2 62.6 -17.4 43
17 Hamburger SV 34 38.3 56.9 -18.6 38
18 FC St. Pauli 34 30.5 56.2 -25.7 26
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