· 2nd Bundesliga
1. FC Heidenheim 1846
ATT
6/10
DEF
5/10
vs
Energie Cottbus
6/10
ATT
4/10
DEF
Planlandı· Sat 24 Oct · 11:00
En iyi tahmin
KG VAR
59%
Doğru skor
Mükemmel
1-1
10.7%
10.00
Mükemmel
2-1
9.7%
9.50
1-0
8.9%
17.00
2-0
8%
13.00
1-2
6.5%
15.00
2-2
5.9%
11.00
0-1
5.9%
26.00
3-1
5.8%
12.00
151%
1.65TOP
X23%
4.33
226%
4.10
1X74%
X249%
1277%

Kombine

4 seçim

Heidenheim’s 1.99 xG and home advantage support the Double Chance, while both leaky defenses and a combined 3.27 xG point toward Over 3.5 goals. Their 6.21 expected corners plus Cottbus’ 4.61 also favor Over 9.5; in an open contest, Paul Hennrich looks a credible anytime scorer.

1Double Chance1. FC Heidenheim 1846 or Draw
2Match GoalsOver 3.5
3GoalscorersAnytime
4Corners Over/UnderOver 9.5
Confirmed XI4-3-3
33
Dähne
22
Mhamdi
6
Mainka
19
Föhrenbach
27
Heule
8
Hennrich
3
Schöppner
16
Niehues
10
Conteh
29
Kaufmann
18
Vogt
Impact Player Hot Head
1. FC Heidenheim 184624 oyuncu
53.5/ 99Orta
En İyiler
1Maximilian BreunigFWD94
2Tim SierslebenDEF70
3Julian NiehuesMID68
Energie Cottbus22 oyuncu
50.9/ 99Orta
En İyiler
1Leonardo BittencourtMID83
2Fousseny DoumbiaDEF70
3Lukas Michelbrink MID62
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Maximilian Breunig1. FC Heidenheim 1846
99
2
Justin ButlerEnergie Cottbus
72
3
Yannik Wagner1. FC Heidenheim 1846
68
4
Dmytro BogdanovEnergie Cottbus
68
5
Alessandro Vogt1. FC Heidenheim 1846
59
Duvar
En iyi savunmacılar
1
Patrick Mainka 1. FC Heidenheim 1846
89
2
Thomas Keller1. FC Heidenheim 1846
64
3
Tim Siersleben1. FC Heidenheim 1846
60
4
King Manu Energie Cottbus
54
5
Benedikt Gimber 1. FC Heidenheim 1846
53
Kontrol
En iyi oyun kurucular
1
Leonardo BittencourtEnergie Cottbus
78
2
Marko Zrilić1. FC Heidenheim 1846
63
3
Julian Niehues1. FC Heidenheim 1846
60
4
Jan Schöppner1. FC Heidenheim 1846
59
5
Tolcay CigerciEnergie Cottbus
56
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Luca Kerber1. FC Heidenheim 1846
2
2
Justin ButlerEnergie Cottbus
8
3
Christian KinsombiEnergie Cottbus
21
4
Dmytro BogdanovEnergie Cottbus
21
5
Adrian Beck1. FC Heidenheim 1846
23
Güç sıralaması
Genel olarak en güçlüler
1
Maximilian Breunig1. FC Heidenheim 1846
94
2
Leonardo BittencourtEnergie Cottbus
83
3
Tim Siersleben1. FC Heidenheim 1846
70
4
Fousseny DoumbiaEnergie Cottbus
70
5
Julian Niehues1. FC Heidenheim 1846
68

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for 1. FC Heidenheim 1846 vs Energie Cottbus based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the 1. FC Heidenheim 1846 vs Energie Cottbus match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If 1. FC Heidenheim 1846 has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for 1. FC Heidenheim 1846 vs Energie Cottbus without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives 1. FC Heidenheim 1846 a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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