Thống kê / Bóng đá / Germany. 2. Bundesliga / Hannover 96 vs Preußen Münster

Hannover 96 vs Preußen Münster Statistics & Analysis

Hannover 96 Hannover 96
May 03, 2026 - 11:30
3 1.77
3 0.86
xG Accuracy: 40%
Preußen Münster Preußen Münster
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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
  • Trên / Dưới 2.5 Dưới 2.5 Trên 2.5 (6 goals) ✖ Incorrect
  • Cả Hai Đội Đều Ghi Bàn BTTS Không Có ✖ Incorrect
  • 1X2 Hannover 96 Vẽ tranh ✖ Incorrect
  • Thông tin tỷ số chính xác 1-0 3-3 ✖ Incorrect

Tóm tắt trận đấu AI

Tóm tắt trận đấu AI

Quick read on how the model reads this matchup.

  • League: 2. Bundesliga
  • Fixture: Hannover 96 vs Preußen Münster
  • Kickoff: 2026-05-02 11:30:00
  • 1X2 (model): Home 57.5% · Draw 26.0% · Away 16.5%
  • xG (showing): Hannover 96 1.77 — Preußen Münster 0.86 (total xG ≈ 2.63)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 51.1% · Implied: 34.4% · Probability edge: +16.7 pts · Est. EV: +47.2%
  • BTTS (model): Yes 49.3% · No 50.7%
  • Correct score (top bin): 1-0 (12.8%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Kèo tốt nhất và lý do

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.

Edges shrink quickly if prices move; always re-check the number on your book.

Câu hỏi thường gặp

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.

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.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

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.

Yếu tố rủi ro

  • 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%).

Phương pháp

  • 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.

Cập nhật lần cuối

May 01, 2026 (UTC)

Cách sử dụng cái này
  • Hãy tập trung vào dòng Chính khi bạn muốn có một ý tưởng có thể thực hiện được.
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  • Chỉ coi những cú đánh dài là những lượt chơi tùy chọn, có mức đặt cược cao.

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Quay lại Thống kê
2. Bundesliga 2. Bundesliga — Bảng xếp hạng
# Đội Tr T H B Đ
1 FC Schalke 04 33 20 7 6 67
2 SV Elversberg 33 17 8 8 59
3 Hannover 96 33 16 11 6 59
4 SC Paderborn 07 33 17 8 8 59
5 SV Darmstadt 98 33 13 13 7 52
6 Hertha BSC 33 14 9 10 51
7 1. FC Kaiserslautern 33 15 4 14 49
8 1. FC Nürnberg 33 12 9 12 45
9 Karlsruher SC 33 12 8 13 44
10 VfL Bochum 33 10 11 12 41
11 Holstein Kiel 33 11 8 14 41
12 1. FC Magdeburg 33 12 3 18 39
13 Dynamo Dresden 33 10 8 15 38
14 Eintracht Braunschweig 33 10 7 16 37
15 Fortuna Düsseldorf 33 11 4 18 37
16 Arminia Bielefeld 33 9 9 15 36
17 SpVgg Greuther Fürth 33 9 7 17 34
18 Preußen Münster 33 6 12 15 30
# Đội Tr BT BB +/- Đ
1 SV Elversberg 33 61 39 +22 59
2 Hannover 96 33 57 41 +16 59
3 SV Darmstadt 98 33 57 43 +14 52
4 SC Paderborn 07 33 57 45 +12 59
5 Dynamo Dresden 33 52 52 0 38
6 1. FC Magdeburg 33 52 57 -5 39
7 Karlsruher SC 33 52 62 -10 44
8 1. FC Kaiserslautern 33 51 47 +4 49
9 FC Schalke 04 33 49 31 +18 67
10 VfL Bochum 33 47 46 +1 41
11 Arminia Bielefeld 33 47 50 -3 36
12 Hertha BSC 33 46 38 +8 51
13 SpVgg Greuther Fürth 33 46 68 -22 34
14 1. FC Nürnberg 33 44 42 +2 45
15 Holstein Kiel 33 43 46 -3 41
16 Preußen Münster 33 38 58 -20 30
17 Eintracht Braunschweig 33 36 53 -17 37
18 Fortuna Düsseldorf 33 33 50 -17 37
# Đội Tr xG xGC +/- Đ
1 SC Paderborn 07 33 56.3 36.5 +19.8 59
2 FC Schalke 04 33 49.1 30.0 +19.1 67
3 Hannover 96 33 52.2 36.8 +15.4 59
4 SV Elversberg 33 49.5 37.0 +12.5 59
5 1. FC Magdeburg 33 51.5 44.5 +7.0 39
6 VfL Bochum 33 50.7 45.7 +5.0 41
7 1. FC Nürnberg 33 44.6 41.1 +3.5 45
8 1. FC Kaiserslautern 33 44.9 43.0 +1.9 49
9 SV Darmstadt 98 33 50.5 50.0 +0.5 52
10 Arminia Bielefeld 33 45.2 44.8 +0.4 36
11 Dynamo Dresden 33 42.4 42.9 -0.5 38
12 Hertha BSC 33 43.4 46.3 -2.9 51
13 Fortuna Düsseldorf 33 39.6 47.4 -7.8 37
14 Eintracht Braunschweig 33 36.4 46.3 -9.9 37
15 Holstein Kiel 33 40.0 52.2 -12.2 41
16 SpVgg Greuther Fürth 33 37.4 50.6 -13.2 34
17 Preußen Münster 33 36.4 53.8 -17.4 30
18 Karlsruher SC 33 39.5 60.6 -21.1 44
2. Bundesliga Germany. 2. Bundesliga Dự đoán
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