· DFB Pokal
Cologne
ATT
5/10
DEF
5/10
0:0
柏林联
5/10
ATT
5/10
DEF
直播 28′
最佳推荐
大 2.5
75%
精确比分28′
2-1
7.8%
8.50
1-1
7.6%
7.00
2-2
7.3%
12.00
1-2
7.1%
15.00
3-1
5.4%
13.00
3-2
5%
21.00
2-3
4.5%
34.00
1-3
4.4%
34.00
143%
1.95TOP
X21%
3.20
236%
4.00
1X64%
X257%
1279%
进球概率更新中
86%
Before FT
Next 5'
15%
Next 10'
27%
Cologne xG
0.54
exp 0.24+0.30
柏林联 xG
0.35
exp 0.24+0.11
End to end
xG — Expected Goals
Cologne
Cologne exp
柏林联
柏林联 exp
goal
Cologne26Avg 15 · Peak 33
Tactical
柏林联2Avg 11 · Peak 23
Momentum
0'15'30'HT60'75'90'
GoalShot
每15分钟
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Cologne
柏林联
28′Trends
Tactical Battle
Cologne
10-min momentum
柏林联
61%39%
Cologne xG
0.54
exp 0.39+0.15
柏林联 xG
0.35
exp 0.39-0.04
Goal Probability Window
Next 5'
15%
Next 10'
27%
Next 15'
38%
Attack vs Defense
Cologne Attack
4.9/10
柏林联 Attack
5.4/10
Cologne Defense
4.6/10
柏林联 Defense
4.4/10
FT Predictions
大 0.5热门
59%
大 1.5热门
59%
大 2.5
32%
大 3.5
14%
小 1.5
41%
小 2.5热门
68%
小 3.5热门
86%
两队进球
39%
No more goals
14%
Next Goal
Cologne scores next热门
47%
柏林联 scores next
39%
No more goals
14%
Cologne
1
exp 1.5-0.5
柏林联
1
exp 1.5-0.5
Goal Probability Window
Next 5'
36%
Next 10'
59%
Next 15'
73%
FT Corners · 2 scored
大 9.5
19%
小 9.5热门
81%
大 8.5
31%
小 8.5热门
69%
大 7.5
47%
Next Corner
Cologne wins next corner
50%
柏林联 wins next corner
50%
Cologne
0
exp 0.5-0.5
柏林联
0
exp 0.5-0.5
总计
0/ 3.5
Late-game intensity
Low
~1.2 remaining
1.2
Exp. FT
3.5
FT Cards Predictions
大 3.5
3%
小 3.5热门
97%
大 2.5
12%
小 2.5热门
88%
Live 1X2
Cologne 胜热门
40%
平局
31%
柏林联 胜
30%
Goals
大 2.5
32%
小 2.5热门
68%
两队进球
39%
Corners
大 9.5
19%
大 8.5
31%
Pressure Index
Cologne26
柏林联2
Confirmed XI3-4-3
1
Schwäbe
2
Schmied
22
Simpson-Pusey
5
Krauß
17
Castro-Montes
23
Okon
47
Moore
3
Sosa
37
Maina
10
Mala
30
Bülter
Impact Player Hot Head
Cologne16 球员
52.1/ 99中等
最佳
1Paul OkonMID86
2Luca WaldschmidtFWD57
3Gideon MensahDEF55
柏林联23 球员
52.4/ 99中等
最佳
1Marin LjubicicFWD81
2Marvin FriedrichDEF75
3Stanley NsokiDEF75
球员排名
狙击手
最大进球威胁
1
Marin Ljubicic柏林联
81
2
Ragnar AcheCologne
54
3
Luca WaldschmidtCologne
53
4
Ilyas Ansah柏林联
53
5
Oliver Burke柏林联
53
城墙
最佳后卫
1
Marvin Friedrich柏林联
99
2
Stanley Nsoki柏林联
99
3
Leopold Querfeld柏林联
56
4
Joël SchmiedCologne
55
5
Christopher Trimmel 柏林联
54
控制
最佳组织者
1
Paul OkonCologne
92
2
Janik Haberer柏林联
59
3
Aljoscha Kemlein 柏林联
58
4
Ísak JóhannessonCologne
53
5
Rani Khedira柏林联
50
坏小子
最可能吃牌
1
Said El MalaCologne
10
2
Andrej Ilic柏林联
10
3
Livan Burcu柏林联
10
4
Aljoscha Kemlein 柏林联
16
5
Michel Aebischer柏林联
22
力量排名
综合最强
1
Paul OkonCologne
86
2
Marin Ljubicic柏林联
81
3
Marvin Friedrich柏林联
75
4
Stanley Nsoki柏林联
75
5
Janik Haberer柏林联
63

常见问题

Our Poisson model calculates the probability of every possible scoreline for Cologne vs 柏林联 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 Cologne vs 柏林联 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 Cologne 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 Cologne vs 柏林联 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 Cologne 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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