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Union Berlin vs FC Augsburg: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 24

· LONDON TIME · Stadium not provided · Referee: not provided

Union Berlin

Union Berlin

17 · 1 pts · 4 P · 0 W · 1 D · 3 L · GD -13

VSFC Augsburg

FC Augsburg

4 · 7 pts · 4 P · 2 W · 1 D · 1 L · GD 5

Statistical engine · radaronze-v1

RadarOnze analysis

Probabilities calculated in advance. The explanatory layer organises existing factors and does not change the model’s numbers.

View in the Betting Centre

Away team to score 1+ goals

82.7%

high
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.46 × 1.97

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1441 × 1502

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.55 × 1.53

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.48 × 1.85

    Parameters from the independent Poisson model for the home and away teams.

  • Signal consensus: 79.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Away team to score 1+ goals has a model probability of 82.7%, high confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.46 × 1.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1502 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance 12

76.8%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.46 × 1.97

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1441 × 1502

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.55 × 1.53

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.48 × 1.85

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 98.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 76.8%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.46 × 1.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1502 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance 1X

54.4%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.46 × 1.97

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1441 × 1502

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.55 × 1.53

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.48 × 1.85

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 48

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 54.4%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.46 × 1.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1502 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance X2

68.7%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.46 × 1.97

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1441 × 1502

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.55 × 1.53

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.48 × 1.85

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 48.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 68.7%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.46 × 1.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1502 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 0.5 goals

96.3%

high
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.46 × 1.97

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1441 × 1502

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.55 × 1.53

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.48 × 1.85

    Parameters from the independent Poisson model for the home and away teams.

  • Signal consensus: 98.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 96.3%, high confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.46 × 1.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1502 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Home team to score 2+ goals

41.2%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.46 × 1.97

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1441 × 1502

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.55 × 1.53

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.48 × 1.85

    Parameters from the independent Poisson model for the home and away teams.

  • Signal consensus: 68

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Home team to score 2+ goals has a model probability of 41.2%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.46 × 1.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1502 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 20.5 shots

91.2%

high
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — shots: 27.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 13.46 × 14.10

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1441 × 1502

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 85.3

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots: 27.56

    Count model with home/away adjustment, team strength and empirical smoothing.

  • Signal consensus: 94.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 91.2%, high confidence and a sample of 38 matches per team.

League average — shots: 27.3 (Weighted average using only matches played before the fixture.) Home/away strength: 13.46 × 14.10 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1502 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Result probabilities — 1X2Complementary statistical view. It does not take part in top signals or tickets.

Away win

45.6%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.46 × 1.97

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1441 × 1502

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.55 × 1.53

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.48 × 1.85

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 48

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

23.2%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.46 × 1.97

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1441 × 1502

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.55 × 1.53

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.48 × 1.85

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 98.8

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

31.3%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.46 × 1.97

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1441 × 1502

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.55 × 1.53

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.48 × 1.85

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 48.9

    Agreement between the parametric model and the smoothed empirical frequency.

18+ · Statistical estimates, not guaranteed outcomes. Bet responsibly.

Data interpretation

RadarOnze analysis

An original, deterministic reading of the real samples shown on this page.

Across 10 recent matches, Union Berlin recorded 2 wins, 2 draws and 6 defeats and averaged 1.60 goals scored per match. FC Augsburg's 10-match sample contains 5 wins, 3 draws and 2 defeats, with 2.20 goals scored per match.

The venue split shows Union Berlin at home with 5 wins, 8 draws and 6 defeats in 19 matches, averaging 1.58 goals scored and 1.68 goals conceded. Away from home, FC Augsburg has 6 wins, 2 draws and 11 defeats in 19 matches, with 1.37 goals scored and 1.95 goals conceded.

Both teams scored in 7 of 10 matches (70%) of Union Berlin's sample and 8 of 10 matches (80%) of FC Augsburg's. Over 2.5 goals occurred in 10 of 10 matches (100%) and 9 of 10 matches (90%), respectively.

Shot volume separates the sides at 13.30 per match for Union Berlin and 14.00 for FC Augsburg. On target, the averages are 5.20 and 6.30, respectively.

Historical frequencies describe the available sample; they are not a promise or certainty about a future result.

Form

Recent form and season

Last 5

Union Berlin

5 matches
LLLDW
W
1
D
1
L
3
GF
8
GA
17

Last 5

FC Augsburg

5 matches
LDWWL
W
2
D
1
L
2
GF
11
GA
10

Last 10

Union Berlin

10 matches
LLLDWWDLLL
W
2
D
2
L
6
GF
16
GA
28

Last 10

FC Augsburg

10 matches
LDWWLWWDWD
W
5
D
3
L
2
GF
22
GA
16

Last 20

Union Berlin

20 matches
LLLDWWDLLLDLWLLWLDLL
W
4
D
4
L
12
GF
24
GA
48

Last 20

FC Augsburg

20 matches
LDWWLWWDWDDLLLWWWLWW
W
10
D
4
L
6
GF
36
GA
32

Season

Union Berlin

38 matches
LLLDWWDLLLDLWLLWLDLLDDDWWLLWDDLWLDWLLW
W
10
D
10
L
18
GF
48
GA
75

Season

FC Augsburg

38 matches
LDWWLWWDWDDLLLWWWLWWDDLDLWLWLLLDWLLLLW
W
14
D
8
L
16
GF
56
GA
67

Goals

Frequencies across the last 10

Average goals scored

Union Berlin

1.60 · 10 matches

FC Augsburg

2.20 · 10 matches

Average goals conceded

Union Berlin

2.80 · 10 matches

FC Augsburg

1.60 · 10 matches

Over 0.5

Union Berlin

100% · 10 of 10 matches

FC Augsburg

100% · 10 of 10 matches

Over 1.5

Union Berlin

100% · 10 of 10 matches

FC Augsburg

100% · 10 of 10 matches

Over 2.5

Union Berlin

100% · 10 of 10 matches

FC Augsburg

90% · 9 of 10 matches

Over 3.5

Union Berlin

90% · 9 of 10 matches

FC Augsburg

70% · 7 of 10 matches

Both teams scored

Union Berlin

70% · 7 of 10 matches

FC Augsburg

80% · 8 of 10 matches

Clean sheet

Union Berlin

10% · 1 of 10 matches

FC Augsburg

10% · 1 of 10 matches

Failed to score

Union Berlin

20% · 2 of 10 matches

FC Augsburg

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Union Berlin

4.60 · 10 matches

FC Augsburg

5.00 · 10 matches

Average against

Union Berlin

6.50 · 10 matches

FC Augsburg

6.40 · 10 matches

Total average

Union Berlin

11.10 · 10 matches

FC Augsburg

11.40 · 10 matches

Over 7.5

Union Berlin

80% · 8 of 10 matches

FC Augsburg

80% · 8 of 10 matches

Over 8.5

Union Berlin

70% · 7 of 10 matches

FC Augsburg

70% · 7 of 10 matches

Over 9.5

Union Berlin

60% · 6 of 10 matches

FC Augsburg

70% · 7 of 10 matches

Over 10.5

Union Berlin

60% · 6 of 10 matches

FC Augsburg

60% · 6 of 10 matches

Over 11.5

Union Berlin

50% · 5 of 10 matches

FC Augsburg

60% · 6 of 10 matches

Cards

Averages and frequencies

Team average

Union Berlin

2.00 · 10 matches

FC Augsburg

1.60 · 10 matches

Opponent average

Union Berlin

1.60 · 10 matches

FC Augsburg

1.80 · 10 matches

Total average

Union Berlin

3.60 · 10 matches

FC Augsburg

3.40 · 10 matches

Over 2.5

Union Berlin

70% · 7 of 10 matches

FC Augsburg

60% · 6 of 10 matches

Over 3.5

Union Berlin

60% · 6 of 10 matches

FC Augsburg

40% · 4 of 10 matches

Over 4.5

Union Berlin

20% · 2 of 10 matches

FC Augsburg

10% · 1 of 10 matches

Over 5.5

Union Berlin

10% · 1 of 10 matches

FC Augsburg

10% · 1 of 10 matches

Fouls

Match intensity

Committed average

Union Berlin

10.20 · 10 matches

FC Augsburg

8.10 · 10 matches

Opponent average

Union Berlin

9.90 · 10 matches

FC Augsburg

10.00 · 10 matches

Total average

Union Berlin

20.10 · 10 matches

FC Augsburg

18.10 · 10 matches

Shots

Production and concessions

Average shots

Union Berlin

13.30 · 10 matches

FC Augsburg

14.00 · 10 matches

Average shots on target

Union Berlin

5.20 · 10 matches

FC Augsburg

6.30 · 10 matches

Average shots conceded

Union Berlin

14.00 · 10 matches

FC Augsburg

19.90 · 10 matches

Average shots on target conceded

Union Berlin

6.30 · 10 matches

FC Augsburg

6.70 · 10 matches

Average xG

Union Berlin

1.59 · 8 matches

FC Augsburg

1.99 · 8 matches

Average xG against

Union Berlin

1.88 · 8 matches

FC Augsburg

2.05 · 8 matches

Home vs away

Union Berlin at home × FC Augsburg away

Union Berlin at home

Union Berlin

19 matches
LDWDLDLWDLDWLDDWDLW
W
5
D
8
L
6
GF
30
GA
32

FC Augsburg away

FC Augsburg

19 matches
LWLWWDLLWLWLLLLDLLW
W
6
D
2
L
11
GF
26
GA
37
Average goals scored

Union Berlin at home

1.58 · 19 matches

FC Augsburg away

1.37 · 19 matches

Average goals conceded

Union Berlin at home

1.68 · 19 matches

FC Augsburg away

1.95 · 19 matches

Over 0.5

Union Berlin at home

89% · 17 of 19 matches

FC Augsburg away

100% · 19 of 19 matches

Over 1.5

Union Berlin at home

84% · 16 of 19 matches

FC Augsburg away

95% · 18 of 19 matches

Over 2.5

Union Berlin at home

74% · 14 of 19 matches

FC Augsburg away

74% · 14 of 19 matches

Over 3.5

Union Berlin at home

53% · 10 of 19 matches

FC Augsburg away

42% · 8 of 19 matches

Both teams scored

Union Berlin at home

74% · 14 of 19 matches

FC Augsburg away

68% · 13 of 19 matches

Clean sheet

Union Berlin at home

21% · 4 of 19 matches

FC Augsburg away

0% · 0 of 19 matches

Failed to score

Union Berlin at home

16% · 3 of 19 matches

FC Augsburg away

32% · 6 of 19 matches

Total corner average

Union Berlin at home

9.47 · 19 matches

FC Augsburg away

9.74 · 19 matches

Over 8.5 corners

Union Berlin at home

68% · 13 of 19 matches

FC Augsburg away

63% · 12 of 19 matches

Total card average

Union Berlin at home

4.84 · 19 matches

FC Augsburg away

4.06 · 18 matches

Players and goalkeepers

Pre-match highlights

Union Berlin

T. Skarke

Midfielder

6.70

4 matches · 115 min

2 goals · 0 assists · 5 of 5 shots on target

L. Querfeld

Centre-back

6.59

3 matches · 270 min

1 goals · 1 assists · 1 of 2 shots on target

J. Juranović

Centre-back

6.50

3 matches · 254 min

0 goals · 2 assists · 2 of 3 shots on target

E. Latte Lath

Forward

6.54

4 matches · 245 min

1 goals · 0 assists · 2 of 4 shots on target

T. Rothe

Centre-back

5.83

4 matches · 360 min

0 goals · 1 assists · 3 of 4 shots on target

F. Rønnow

Goalkeeper

6.71

3 matches · 270 min

18 saves · 4 goals conceded

M. Raab

Goalkeeper

1.77

3 matches · 90 min

0 saves · 3 goals conceded

FC Augsburg

F. Rieder

Midfielder

7.36

4 matches · 353 min

1 goals · 3 assists · 4 of 6 shots on target

M. Gregoritsch

Forward

7.41

4 matches · 293 min

3 goals · 0 assists · 8 of 9 shots on target

A. Kade

Forward

9.70

1 matches · 90 min

1 goals · 1 assists · 4 of 5 shots on target

A. Claude-Maurice

Midfielder

6.73

3 matches · 98 min

1 goals · 1 assists · 2 of 3 shots on target

R. Fellhauer

Midfielder

6.41

4 matches · 304 min

2 goals · 0 assists · 3 of 3 shots on target

F. Dahmen

Goalkeeper

7.57

4 matches · 360 min

21 saves · 1 goals conceded

N. Labrović

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Union Berlin 4 × 0 FC Augsburg1388612
FC Augsburg 1 × 1 Union Berlin1388452
Average goals
3.00 · 2 matches
Both teams scored
50% · 1 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 9.50 · 2 matches

Combined view

Data convergences

  • Both scopes show a high frequency of the home team scoring.
  • Both scopes show a high frequency of the away team scoring.
  • Recent histories converge towards matches with three or more goals.

Descriptive analysis based exclusively on available frequencies.