予想 / サッカー / Germany. Bundesliga / Bayern München vs 1. FC Heidenheim

Bayern München vs 1. FC Heidenheim 予想・オッズ・AIベッティングヒント

Bayern München Bayern München
May 02, 2026 - 13:30
3.24
1.16
77% 14% 9%
1. FC Heidenheim 1. FC Heidenheim
メイン推奨（最高+EV）
BTTS はい — 価値
EV 6.6% モデル 66.6%
Over / Under 2.5 最良の価値（+EV）
オーバー 2.5 81.5% · アンダー 2.5 18.5%
EVオーバー 3.51% · EVアンダー -22.3%
価値の読み: オーバー 2.5
1X2 価値が低い
Bayern München · モデル 77.0%
暗黙の 76.8%
EV: -6.2%
1X2の最良EV -6.2%
コレクトスコアの要点 穴 / エンジョイ
最も可能性が高い
3-1
確率 8.1%
スコアは分散が大きいため、娯楽としての極小額のみを想定しています。
賭けの決定 (モデルと市場の EV)
価値ある機会 — 少なくとも 1 つの市場が、現在の最良の小数オッズで推定 +EV を示しています (しきい値: 2.0%)。
判断の強さ: 6.5 / 10
  • プライマリ ラインの識別 (+1.0)
  • しきい値 (+0.5) で 2 つ以上の有効な +EV ライン
O/U 2.5: EVオーバー 3.51% · EVアンダー -22.3% (9 本のペア)
防弾少年団: EV はい 6.56% · EV番号 -16.5%
Should you bet on this match? Only where +EV is shown; always compare with your own limits.
これの使い方
  • 実用的なアイデアが 1 つ必要な場合は、Primary 行に焦点を当てます。
  • 多数の薄いエッジのピックを一緒に使用しないでください。エッジが確実に追加されません。
  • ロングショットはオプションの、一か八かのプレイのみとして扱います。
OddsGPT 意思決定エンジン v2.0.0(EV + 市場構造 + リスク調整) オッズを確認する 1xBet

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: 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.

Best Bet + Reason

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.

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).
  • Narrative: Template sentence library with fixture-stable selection (no per-request LLM for this block).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 01, 2026 (UTC)

プレミアム予想を取得： Bayern München & 1. FC Heidenheim!

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Bundesliga Bundesliga — 順位表
# チーム 試 勝 分 敗 点
1 Bayern München 31 26 4 1 82
2 Borussia Dortmund 30 19 7 4 64
3 RB Leipzig 31 19 5 7 62
4 1899 Hoffenheim 31 17 6 8 57
5 VfB Stuttgart 30 17 5 8 56
6 Bayer Leverkusen 31 16 7 8 55
7 Eintracht Frankfurt 31 11 10 10 43
8 SC Freiburg 30 12 7 11 43
9 FC Augsburg 31 10 7 14 37
10 FSV Mainz 05 31 8 10 13 34
11 Borussia Mönchengladbach 31 7 11 13 32
12 Union Berlin 31 8 8 15 32
13 1. FC Köln 31 7 10 14 31
14 Hamburger SV 31 7 10 14 31
15 Werder Bremen 30 8 7 15 31
16 FC St. Pauli 31 6 8 17 26
17 VfL Wolfsburg 31 6 7 18 25
18 1. FC Heidenheim 31 5 7 19 22
# チーム 試 得 失 +/- 点
1 Bayern München 31 113 32 +81 82
2 RB Leipzig 31 62 38 +24 62
3 VfB Stuttgart 30 62 42 +20 56
4 Bayer Leverkusen 31 62 42 +20 55
5 Borussia Dortmund 30 61 31 +30 64
6 1899 Hoffenheim 31 61 45 +16 57
7 Eintracht Frankfurt 31 56 58 -2 43
8 1. FC Köln 31 45 53 -8 31
9 SC Freiburg 30 44 48 -4 43
10 VfL Wolfsburg 31 41 66 -25 25
11 FSV Mainz 05 31 39 49 -10 34
12 FC Augsburg 31 39 55 -16 37
13 Borussia Mönchengladbach 31 36 50 -14 32
14 Werder Bremen 30 35 53 -18 31
15 Union Berlin 31 35 55 -20 32
16 1. FC Heidenheim 31 35 66 -31 22
17 Hamburger SV 31 34 50 -16 31
18 FC St. Pauli 31 26 53 -27 26
# チーム 試 xG xGC +/- 点
1 Bayern München 31 90.4 31.8 +58.6 82
2 Borussia Dortmund 30 58.1 35.3 +22.8 64
3 RB Leipzig 31 62.7 43.5 +19.2 62
4 Bayer Leverkusen 31 56.0 39.1 +16.9 55
5 VfB Stuttgart 30 54.4 44.5 +9.9 56
6 1899 Hoffenheim 31 49.9 47.2 +2.7 57
7 SC Freiburg 30 45.8 43.8 +2.0 43
8 1. FC Köln 31 47.1 49.5 -2.4 31
9 FSV Mainz 05 31 45.6 48.4 -2.8 34
10 Eintracht Frankfurt 31 41.0 46.4 -5.4 43
11 Borussia Mönchengladbach 31 38.0 47.9 -9.9 32
12 Werder Bremen 30 37.8 47.7 -9.9 31
13 Union Berlin 31 37.7 48.5 -10.8 32
14 1. FC Heidenheim 31 41.4 56.5 -15.1 22
15 FC Augsburg 31 39.9 57.1 -17.2 37
16 VfL Wolfsburg 31 39.6 57.7 -18.1 25
17 Hamburger SV 31 33.9 52.5 -18.6 31
18 FC St. Pauli 31 27.3 49.0 -21.7 26
Bundesliga Germany. Bundesliga 予想
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