RadarOnze

Union Berlin vs SC Freiburg: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 26

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

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

82.3%

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: 1.32 × 1.96

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

  • Opponent strength: 1441 × 1526

    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: 1.26 × 1.47

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

  • Model expected goals: 1.31 × 1.82

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

  • Signal consensus: 80.5

    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 82.3%, 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: 1.32 × 1.96 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1526 (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

76.4%

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: 1.32 × 1.96

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

  • Opponent strength: 1441 × 1526

    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: 1.26 × 1.47

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

  • Model expected goals: 1.31 × 1.82

    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: 97

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 76.4%, 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: 1.32 × 1.96 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1526 (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

51.5%

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: 1.32 × 1.96

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

  • Opponent strength: 1441 × 1526

    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: 1.26 × 1.47

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

  • Model expected goals: 1.31 × 1.82

    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: 27

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 51.5%, 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: 1.32 × 1.96 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1526 (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

72.1%

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: 1.32 × 1.96

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

  • Opponent strength: 1441 × 1526

    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: 1.26 × 1.47

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

  • Model expected goals: 1.31 × 1.82

    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: 29.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 72.1%, 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: 1.32 × 1.96 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1526 (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

95.7%

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: 1.32 × 1.96

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

  • Opponent strength: 1441 × 1526

    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: 1.26 × 1.47

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

  • Model expected goals: 1.31 × 1.82

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

  • Signal consensus: 99.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 95.7%, 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: 1.32 × 1.96 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1526 (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

36.4%

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: 1.32 × 1.96

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

  • Opponent strength: 1441 × 1526

    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: 1.26 × 1.47

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

  • Model expected goals: 1.31 × 1.82

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

  • Signal consensus: 84.4

    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 36.4%, 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: 1.32 × 1.96 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1526 (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

86.6%

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

Model factors

  • League average — shots: 27.27

    Weighted average using only matches played before the fixture.

  • Home/away strength: 11.95 × 14.08

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

  • Opponent strength: 1441 × 1526

    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: 26.03

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

  • Signal consensus: 96

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 86.6%, high confidence and a sample of 38 matches per team.

League average — shots: 27.27 (Weighted average using only matches played before the fixture.) Home/away strength: 11.95 × 14.08 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1526 (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

48.5%

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: 1.32 × 1.96

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

  • Opponent strength: 1441 × 1526

    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: 1.26 × 1.47

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

  • Model expected goals: 1.31 × 1.82

    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: 27

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

23.6%

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: 1.32 × 1.96

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

  • Opponent strength: 1441 × 1526

    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: 1.26 × 1.47

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

  • Model expected goals: 1.31 × 1.82

    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: 97

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

27.9%

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: 1.32 × 1.96

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

  • Opponent strength: 1441 × 1526

    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: 1.26 × 1.47

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

  • Model expected goals: 1.31 × 1.82

    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: 29.7

    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. SC Freiburg's 10-match sample contains 6 wins, 2 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, SC Freiburg has 5 wins, 4 draws and 10 defeats in 19 matches, with 1.11 goals scored and 1.95 goals conceded.

Both teams scored in 7 of 10 matches (70%) of Union Berlin's sample and 6 of 10 matches (60%) of SC Freiburg's. Over 2.5 goals occurred in 10 of 10 matches (100%) and 7 of 10 matches (70%), respectively.

Shot volume separates the sides at 13.30 per match for Union Berlin and 13.50 for SC Freiburg. On target, the averages are 5.20 and 4.80, 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

SC Freiburg

5 matches
DWWWW
W
4
D
1
L
0
GF
16
GA
4

Last 10

Union Berlin

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

Last 10

SC Freiburg

10 matches
DWWWWLDLWW
W
6
D
2
L
2
GF
22
GA
13

Last 20

Union Berlin

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

Last 20

SC Freiburg

20 matches
DWWWWLDLWWLWLDLWLWLW
W
10
D
3
L
7
GF
34
GA
29

Season

Union Berlin

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

Season

SC Freiburg

38 matches
DWWWWLDLWWLWLDLWLWLWDLWWDLWLWDLDDDWWLL
W
16
D
9
L
13
GF
63
GA
60

Goals

Frequencies across the last 10

Average goals scored

Union Berlin

1.60 · 10 matches

SC Freiburg

2.20 · 10 matches

Average goals conceded

Union Berlin

2.80 · 10 matches

SC Freiburg

1.30 · 10 matches

Over 0.5

Union Berlin

100% · 10 of 10 matches

SC Freiburg

100% · 10 of 10 matches

Over 1.5

Union Berlin

100% · 10 of 10 matches

SC Freiburg

80% · 8 of 10 matches

Over 2.5

Union Berlin

100% · 10 of 10 matches

SC Freiburg

70% · 7 of 10 matches

Over 3.5

Union Berlin

90% · 9 of 10 matches

SC Freiburg

60% · 6 of 10 matches

Both teams scored

Union Berlin

70% · 7 of 10 matches

SC Freiburg

60% · 6 of 10 matches

Clean sheet

Union Berlin

10% · 1 of 10 matches

SC Freiburg

30% · 3 of 10 matches

Failed to score

Union Berlin

20% · 2 of 10 matches

SC Freiburg

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Union Berlin

4.60 · 10 matches

SC Freiburg

3.60 · 10 matches

Average against

Union Berlin

6.50 · 10 matches

SC Freiburg

4.10 · 10 matches

Total average

Union Berlin

11.10 · 10 matches

SC Freiburg

7.70 · 10 matches

Over 7.5

Union Berlin

80% · 8 of 10 matches

SC Freiburg

70% · 7 of 10 matches

Over 8.5

Union Berlin

70% · 7 of 10 matches

SC Freiburg

40% · 4 of 10 matches

Over 9.5

Union Berlin

60% · 6 of 10 matches

SC Freiburg

20% · 2 of 10 matches

Over 10.5

Union Berlin

60% · 6 of 10 matches

SC Freiburg

10% · 1 of 10 matches

Over 11.5

Union Berlin

50% · 5 of 10 matches

SC Freiburg

0% · 0 of 10 matches

Cards

Averages and frequencies

Team average

Union Berlin

2.00 · 10 matches

SC Freiburg

1.40 · 10 matches

Opponent average

Union Berlin

1.60 · 10 matches

SC Freiburg

1.50 · 10 matches

Total average

Union Berlin

3.60 · 10 matches

SC Freiburg

2.90 · 10 matches

Over 2.5

Union Berlin

70% · 7 of 10 matches

SC Freiburg

50% · 5 of 10 matches

Over 3.5

Union Berlin

60% · 6 of 10 matches

SC Freiburg

50% · 5 of 10 matches

Over 4.5

Union Berlin

20% · 2 of 10 matches

SC Freiburg

10% · 1 of 10 matches

Over 5.5

Union Berlin

10% · 1 of 10 matches

SC Freiburg

10% · 1 of 10 matches

Fouls

Match intensity

Committed average

Union Berlin

10.20 · 10 matches

SC Freiburg

10.00 · 10 matches

Opponent average

Union Berlin

9.90 · 10 matches

SC Freiburg

13.10 · 10 matches

Total average

Union Berlin

20.10 · 10 matches

SC Freiburg

23.10 · 10 matches

Shots

Production and concessions

Average shots

Union Berlin

13.30 · 10 matches

SC Freiburg

13.50 · 10 matches

Average shots on target

Union Berlin

5.20 · 10 matches

SC Freiburg

4.80 · 10 matches

Average shots conceded

Union Berlin

14.00 · 10 matches

SC Freiburg

11.90 · 10 matches

Average shots on target conceded

Union Berlin

6.30 · 10 matches

SC Freiburg

3.40 · 10 matches

Average xG

Union Berlin

1.59 · 8 matches

SC Freiburg

1.16 · 8 matches

Average xG against

Union Berlin

1.88 · 8 matches

SC Freiburg

1.36 · 8 matches

Home vs away

Union Berlin at home × SC Freiburg away

Union Berlin at home

Union Berlin

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

SC Freiburg away

SC Freiburg

19 matches
DWLLWWLLLDLWLLDLDWL
W
5
D
4
L
10
GF
21
GA
37
Average goals scored

Union Berlin at home

1.58 · 19 matches

SC Freiburg away

1.11 · 19 matches

Average goals conceded

Union Berlin at home

1.68 · 19 matches

SC Freiburg away

1.95 · 19 matches

Over 0.5

Union Berlin at home

89% · 17 of 19 matches

SC Freiburg away

89% · 17 of 19 matches

Over 1.5

Union Berlin at home

84% · 16 of 19 matches

SC Freiburg away

74% · 14 of 19 matches

Over 2.5

Union Berlin at home

74% · 14 of 19 matches

SC Freiburg away

58% · 11 of 19 matches

Over 3.5

Union Berlin at home

53% · 10 of 19 matches

SC Freiburg away

37% · 7 of 19 matches

Both teams scored

Union Berlin at home

74% · 14 of 19 matches

SC Freiburg away

42% · 8 of 19 matches

Clean sheet

Union Berlin at home

21% · 4 of 19 matches

SC Freiburg away

26% · 5 of 19 matches

Failed to score

Union Berlin at home

16% · 3 of 19 matches

SC Freiburg away

42% · 8 of 19 matches

Total corner average

Union Berlin at home

9.47 · 19 matches

SC Freiburg away

8.32 · 19 matches

Over 8.5 corners

Union Berlin at home

68% · 13 of 19 matches

SC Freiburg away

42% · 8 of 19 matches

Total card average

Union Berlin at home

4.84 · 19 matches

SC Freiburg away

3.79 · 19 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

SC Freiburg

I. Matanović

Forward

8.10

4 matches · 325 min

3 goals · 1 assists · 9 of 11 shots on target

Y. Suzuki

Midfielder

7.60

4 matches · 323 min

4 goals · 0 assists · 5 of 7 shots on target

M. Ginter

Centre-back

7.60

4 matches · 360 min

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

D. Scherhant

Midfielder

7.51

4 matches · 302 min

1 goals · 2 assists · 3 of 9 shots on target

M. Eggestein

Midfielder

7.22

4 matches · 360 min

2 goals · 0 assists · 3 of 6 shots on target

M. Backhaus

Goalkeeper

6.74

4 matches · 360 min

6 saves · 1 goals conceded

F. Müller

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

SC Freiburg 0 × 1 Union Berlin1388537
Union Berlin 0 × 0 SC Freiburg1388387
Average goals
0.50 · 2 matches
Both teams scored
0% · 0 of 2 matches
Over 2.5
0% · 0 of 2 matches

H2H corners: 9.00 · 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.