Statistik / Bola Sepak / Germany. Bundesliga / Bayern München vs 1. FC Heidenheim

Bayern München vs 1. FC Heidenheim Statistics & Analysis

Bayern München Bayern München
May 02, 2026 - 13:30
3 3.24
3 1.16
xG Accuracy: 56%
1. FC Heidenheim 1. FC Heidenheim
Laman pertaruhan premium 1xBet: pengguna baharu boleh guna kod promo 1x_3342271. Daftar sekarang

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
  • Lebih / Kurang 2.5 Lebih 2.5 Lebih 2.5 (6 goals) ✔ Correct
  • Kedua-dua Pasukan Menjaringkan Gol BTTS Ya Ya ✔ Correct
  • 1X2 Bayern München Lukis ✖ Incorrect
  • Cerapan skor tepat 3-1 3-3 ✖ Incorrect

Taklimat perlawanan AI

Ringkasan perlawanan AI

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

  • League: Bundesliga
  • Fixture: Bayern München vs 1. FC Heidenheim
  • Kickoff: 2026-05-02 13:30:00
  • 1X2 (model): Home 77.0% · Draw 13.7% · Away 9.3%
  • xG (showing): Bayern München 3.24 — 1. FC Heidenheim 1.16 (total xG ≈ 4.4)
  • Primary / headline line (Betting Primary Pick when shown): BTTS Yes
  • Model: 66.6% · Implied: 59.5% · Probability edge: +7.2 pts · Est. EV: +6.6%
  • BTTS (model): Yes 66.6% · No 33.4%
  • Correct score (top bin): 3-1 (8.1%)

Totals and BTTS are evaluated against current market prices where available.

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

Taruhan terbaik dan sebab

Primary angle highlighted on the page: BTTS Yes.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

FAQ

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.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

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.

Faktor risiko

  • 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%).

Metodologi

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Narrative: Template sentence library with fixture-stable selection (no per-request LLM for this block).
  • Compliance: Educational framing only; not personalised advice.

Terakhir dikemas kini

May 01, 2026 (UTC)

Bagaimana untuk menggunakan ini
  • Fokus pada baris Utama apabila anda mahukan satu idea yang boleh diambil tindakan.
  • Jangan parlay banyak picks tepi nipis bersama-sama;tepi tidak menambah dengan pasti.
  • Anggap pukulan panjang sebagai permainan pilihan, bersaiz tinggi sahaja.

Dapatkan Ramalan Premium untuk Bayern München & 1. FC Heidenheim!

Buka analisis mendalam, tip pertaruhan eksklusif, dan ramalan perlawanan dengan perkhidmatan langganan premium kami.

Langgan Sekarang
Kembali ke Statistik
Bundesliga Bundesliga — Kedudukan
# PASUKAN MP M S K 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
# PASUKAN 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
# PASUKAN 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
Liga Popular