Dự đoán / Bóng đá / Germany. Bundesliga / Union Berlin vs 1. FC Köln

Union Berlin vs 1. FC Köln Dự đoán, tỷ lệ cược & mẹo cá cược AI

May 02, 2026 - 13:30
2 1.33
2 2.08
xG Accuracy: 81%

Đánh giá dự báo

Dự báo đáng tin cậy

Yêu thích
1. FC Köln Hơi yêu thích
Xác suất mô hình
53.5%
Thỏa thuận thị trường
Xác thực
Chưa giải quyết

Bản tóm tắt:

Mô hình nghiêng về 1. FC Köln, có sự tách biệt khiêm tốn với các kết quả khác. Theo dõi diễn biến thị trường trước khi bắt đầu.

Nhà cái cao cấp 1xBet: người mới có thể dùng mã khuyến mãi 1x_3342271. Đăng ký ngay

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 Trên 2.5 Trên 2.5 (4 goals) ✔ Correct
  • Cả Hai Đội Đều Ghi Bàn BTTS Có ✔ Correct
  • 1X2 1. FC Köln Vẽ tranh ✖ Incorrect
  • Thông tin tỷ số chính xác 1-2, 1-1, 0-2, 0-1, 1-3 2-2 ✖ Incorrect

Tóm tắt trận đấu AI

Tóm tắt trận đấu AI

Quick read on how the model reads this matchup.

  • League: Bundesliga
  • Fixture: Union Berlin vs 1. FC Köln
  • Kickoff: 2026-05-02 13:30:00
  • 1X2 (model): Home 23.0% · Draw 23.5% · Away 53.5%
  • xG (showing): Union Berlin 1.33 — 1. FC Köln 2.08 (total xG ≈ 3.41)
  • Primary / headline line (Betting Primary Pick when shown): Over 2.5 goals
  • Model: 66.2% · Implied: 50.1% · Probability edge: +16.1 pts · Est. EV: +30.4%
  • BTTS (model): Yes 65.5% · No 34.4%
  • Correct score (top bin): 1-2 (9.5%)

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

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: Over 2.5 goals.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

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

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.

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.

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.

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.

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)

Nhận dự đoán cao cấp cho Union Berlin & 1. FC Köln!

Mở khóa phân tích chuyên sâu, mẹo cá cược độc quyền và dự đoán trận đấu với dịch vụ đăng ký cao cấp của chúng tôi.

Đăng ký ngay
Quay lại Dự đoán
Bundesliga BundesligaBảng xếp hạng
# Đội Tr T H B Đ
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
# Đội Tr BT BB +/- Đ
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
# Đội Tr xG xGC +/- Đ
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