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1. FC Köln vs FSV Mainz 05: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 31

· LONDON TIME · RheinEnergieStadion · Referee: not provided

1. FC Köln

1. FC Köln

13 · 4 pts · 4 P · 1 W · 1 D · 2 L · GD -3

VSFSV Mainz 05

FSV Mainz 05

6 · 7 pts · 4 P · 2 W · 1 D · 1 L · GD 4

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

81.4%

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

Model factors

  • League average — goals: 3.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.43 × 1.89

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

  • Opponent strength: 1429 × 1500

    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: 63.9

    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: 1.52 × 1.70

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

  • Model expected goals: 1.45 × 1.83

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

  • Signal consensus: 64.4

    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 81.4%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.3 (Weighted average using only matches played before the fixture.) Home/away strength: 1.43 × 1.89 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1429 × 1500 (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

76.7%

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

Model factors

  • League average — goals: 3.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.43 × 1.89

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

  • Opponent strength: 1429 × 1500

    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: 63.9

    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: 1.52 × 1.70

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

  • Model expected goals: 1.45 × 1.83

    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: 82.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 76.7%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.3 (Weighted average using only matches played before the fixture.) Home/away strength: 1.43 × 1.89 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1429 × 1500 (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

54.1%

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

Model factors

  • League average — goals: 3.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.43 × 1.89

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

  • Opponent strength: 1429 × 1500

    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: 63.9

    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: 1.52 × 1.70

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

  • Model expected goals: 1.45 × 1.83

    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: 60.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 54.1%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.3 (Weighted average using only matches played before the fixture.) Home/away strength: 1.43 × 1.89 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1429 × 1500 (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

69.2%

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

Model factors

  • League average — goals: 3.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.43 × 1.89

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

  • Opponent strength: 1429 × 1500

    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: 63.9

    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: 1.52 × 1.70

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

  • Model expected goals: 1.45 × 1.83

    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: 77.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 69.2%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.3 (Weighted average using only matches played before the fixture.) Home/away strength: 1.43 × 1.89 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1429 × 1500 (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: 3.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.43 × 1.89

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

  • Opponent strength: 1429 × 1500

    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: 63.9

    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: 1.52 × 1.70

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

  • Model expected goals: 1.45 × 1.83

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

  • Signal consensus: 99.7

    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: 3.3 (Weighted average using only matches played before the fixture.) Home/away strength: 1.43 × 1.89 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1429 × 1500 (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

40.5%

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

Model factors

  • League average — goals: 3.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.43 × 1.89

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

  • Opponent strength: 1429 × 1500

    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: 63.9

    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: 1.52 × 1.70

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

  • Model expected goals: 1.45 × 1.83

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

  • Signal consensus: 71.2

    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 40.5%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.3 (Weighted average using only matches played before the fixture.) Home/away strength: 1.43 × 1.89 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1429 × 1500 (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

89.5%

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

Model factors

  • League average — shots: 27.13

    Weighted average using only matches played before the fixture.

  • Home/away strength: 13.40 × 13.70

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

  • Opponent strength: 1429 × 1500

    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: 27.10

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

  • Signal consensus: 90.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 89.5%, high confidence and a sample of 38 matches per team.

League average — shots: 27.13 (Weighted average using only matches played before the fixture.) Home/away strength: 13.40 × 13.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1429 × 1500 (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

45.9%

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

Model factors

  • League average — goals: 3.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.43 × 1.89

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

  • Opponent strength: 1429 × 1500

    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: 63.9

    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: 1.52 × 1.70

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

  • Model expected goals: 1.45 × 1.83

    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: 60.1

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

23.3%

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

Model factors

  • League average — goals: 3.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.43 × 1.89

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

  • Opponent strength: 1429 × 1500

    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: 63.9

    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: 1.52 × 1.70

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

  • Model expected goals: 1.45 × 1.83

    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: 82.1

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

30.8%

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

Model factors

  • League average — goals: 3.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.43 × 1.89

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

  • Opponent strength: 1429 × 1500

    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: 63.9

    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: 1.52 × 1.70

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

  • Model expected goals: 1.45 × 1.83

    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: 77.7

    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, 1. FC Köln recorded 2 wins, 3 draws and 5 defeats and averaged 1.50 goals scored per match. FSV Mainz 05's 10-match sample contains 4 wins, 2 draws and 4 defeats, with 1.90 goals scored per match.

The venue split shows 1. FC Köln at home with 6 wins, 5 draws and 8 defeats in 19 matches, averaging 1.79 goals scored and 1.74 goals conceded. Away from home, FSV Mainz 05 has 8 wins, 5 draws and 6 defeats in 19 matches, with 1.68 goals scored and 1.63 goals conceded.

Both teams scored in 10 of 10 matches (100%) of 1. FC Köln's sample and 6 of 10 matches (60%) of FSV Mainz 05's. Over 2.5 goals occurred in 8 of 10 matches (80%) and 6 of 10 matches (60%), respectively.

Shot volume separates the sides at 16.30 per match for 1. FC Köln and 16.70 for FSV Mainz 05. On target, the averages are 5.20 and 6.10, 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

1. FC Köln

5 matches
LDLWL
W
1
D
1
L
3
GF
7
GA
14

Last 5

FSV Mainz 05

5 matches
WLWDW
W
3
D
1
L
1
GF
12
GA
6

Last 10

1. FC Köln

10 matches
LDLWLLDLDW
W
2
D
3
L
5
GF
15
GA
23

Last 10

FSV Mainz 05

10 matches
WLWDWLWLDL
W
4
D
2
L
4
GF
19
GA
16

Last 20

1. FC Köln

20 matches
LDLWLLDLDWDDDLLDLLWL
W
3
D
7
L
10
GF
28
GA
42

Last 20

FSV Mainz 05

20 matches
WLWDWLWLDLWWWDDDLWWW
W
10
D
5
L
5
GF
36
GA
28

Season

1. FC Köln

38 matches
LDLWLLDLDWDDDLLDLLWLWLDLLDDLLWLDWLLDWW
W
8
D
12
L
18
GF
55
GA
72

Season

FSV Mainz 05

38 matches
WLWDWLWLDLWWWDDDLWWWLWDDDLLDLDLLLLWLDL
W
12
D
11
L
15
GF
54
GA
59

Goals

Frequencies across the last 10

Average goals scored

1. FC Köln

1.50 · 10 matches

FSV Mainz 05

1.90 · 10 matches

Average goals conceded

1. FC Köln

2.30 · 10 matches

FSV Mainz 05

1.60 · 10 matches

Over 0.5

1. FC Köln

100% · 10 of 10 matches

FSV Mainz 05

90% · 9 of 10 matches

Over 1.5

1. FC Köln

100% · 10 of 10 matches

FSV Mainz 05

80% · 8 of 10 matches

Over 2.5

1. FC Köln

80% · 8 of 10 matches

FSV Mainz 05

60% · 6 of 10 matches

Over 3.5

1. FC Köln

60% · 6 of 10 matches

FSV Mainz 05

50% · 5 of 10 matches

Both teams scored

1. FC Köln

100% · 10 of 10 matches

FSV Mainz 05

60% · 6 of 10 matches

Clean sheet

1. FC Köln

0% · 0 of 10 matches

FSV Mainz 05

30% · 3 of 10 matches

Failed to score

1. FC Köln

0% · 0 of 10 matches

FSV Mainz 05

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

1. FC Köln

5.80 · 10 matches

FSV Mainz 05

5.70 · 10 matches

Average against

1. FC Köln

5.40 · 10 matches

FSV Mainz 05

4.60 · 10 matches

Total average

1. FC Köln

11.20 · 10 matches

FSV Mainz 05

10.30 · 10 matches

Over 7.5

1. FC Köln

80% · 8 of 10 matches

FSV Mainz 05

90% · 9 of 10 matches

Over 8.5

1. FC Köln

70% · 7 of 10 matches

FSV Mainz 05

80% · 8 of 10 matches

Over 9.5

1. FC Köln

70% · 7 of 10 matches

FSV Mainz 05

50% · 5 of 10 matches

Over 10.5

1. FC Köln

50% · 5 of 10 matches

FSV Mainz 05

30% · 3 of 10 matches

Over 11.5

1. FC Köln

50% · 5 of 10 matches

FSV Mainz 05

30% · 3 of 10 matches

Cards

Averages and frequencies

Team average

1. FC Köln

1.90 · 10 matches

FSV Mainz 05

1.70 · 10 matches

Opponent average

1. FC Köln

1.90 · 10 matches

FSV Mainz 05

2.60 · 10 matches

Total average

1. FC Köln

3.80 · 10 matches

FSV Mainz 05

4.30 · 10 matches

Over 2.5

1. FC Köln

80% · 8 of 10 matches

FSV Mainz 05

80% · 8 of 10 matches

Over 3.5

1. FC Köln

60% · 6 of 10 matches

FSV Mainz 05

50% · 5 of 10 matches

Over 4.5

1. FC Köln

30% · 3 of 10 matches

FSV Mainz 05

20% · 2 of 10 matches

Over 5.5

1. FC Köln

10% · 1 of 10 matches

FSV Mainz 05

20% · 2 of 10 matches

Fouls

Match intensity

Committed average

1. FC Köln

9.40 · 10 matches

FSV Mainz 05

11.50 · 10 matches

Opponent average

1. FC Köln

8.20 · 10 matches

FSV Mainz 05

10.80 · 10 matches

Total average

1. FC Köln

17.60 · 10 matches

FSV Mainz 05

22.30 · 10 matches

Shots

Production and concessions

Average shots

1. FC Köln

16.30 · 10 matches

FSV Mainz 05

16.70 · 10 matches

Average shots on target

1. FC Köln

5.20 · 10 matches

FSV Mainz 05

6.10 · 10 matches

Average shots conceded

1. FC Köln

13.40 · 10 matches

FSV Mainz 05

11.90 · 10 matches

Average shots on target conceded

1. FC Köln

5.00 · 10 matches

FSV Mainz 05

4.30 · 10 matches

Average xG

1. FC Köln

1.94 · 7 matches

FSV Mainz 05

2.09 · 7 matches

Average xG against

1. FC Köln

1.68 · 7 matches

FSV Mainz 05

1.45 · 7 matches

Home vs away

1. FC Köln at home × FSV Mainz 05 away

1. FC Köln at home

1. FC Köln

19 matches
DWLLWDLDLWWLLDLWDLW
W
6
D
5
L
8
GF
34
GA
33

FSV Mainz 05 away

FSV Mainz 05

19 matches
WWWWDWWDLWLDDLLLLWD
W
8
D
5
L
6
GF
32
GA
31
Average goals scored

1. FC Köln at home

1.79 · 19 matches

FSV Mainz 05 away

1.68 · 19 matches

Average goals conceded

1. FC Köln at home

1.74 · 19 matches

FSV Mainz 05 away

1.63 · 19 matches

Over 0.5

1. FC Köln at home

100% · 19 of 19 matches

FSV Mainz 05 away

100% · 19 of 19 matches

Over 1.5

1. FC Köln at home

89% · 17 of 19 matches

FSV Mainz 05 away

95% · 18 of 19 matches

Over 2.5

1. FC Köln at home

74% · 14 of 19 matches

FSV Mainz 05 away

68% · 13 of 19 matches

Over 3.5

1. FC Köln at home

47% · 9 of 19 matches

FSV Mainz 05 away

42% · 8 of 19 matches

Both teams scored

1. FC Köln at home

89% · 17 of 19 matches

FSV Mainz 05 away

63% · 12 of 19 matches

Clean sheet

1. FC Köln at home

5% · 1 of 19 matches

FSV Mainz 05 away

16% · 3 of 19 matches

Failed to score

1. FC Köln at home

5% · 1 of 19 matches

FSV Mainz 05 away

21% · 4 of 19 matches

Total corner average

1. FC Köln at home

9.89 · 19 matches

FSV Mainz 05 away

9.37 · 19 matches

Over 8.5 corners

1. FC Köln at home

58% · 11 of 19 matches

FSV Mainz 05 away

63% · 12 of 19 matches

Total card average

1. FC Köln at home

4.88 · 17 matches

FSV Mainz 05 away

5.00 · 19 matches

Players and goalkeepers

Pre-match highlights

1. FC Köln

T. Dallinga

Forward

7.21

3 matches · 153 min

2 goals · 0 assists · 4 of 9 shots on target

E. Skhiri

Midfielder

6.95

4 matches · 250 min

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

L. Maina

Midfielder

6.94

4 matches · 246 min

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

R. Ache

Forward

6.72

4 matches · 192 min

1 goals · 0 assists · 1 of 8 shots on target

S. El Mala

Midfielder

6.64

3 matches · 171 min

1 goals · 0 assists · 5 of 8 shots on target

M. Schwäbe

Goalkeeper

7.02

4 matches · 360 min

15 saves · 2 goals conceded

R. Zieler

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

FSV Mainz 05

S. Becker

Forward

7.85

4 matches · 286 min

2 goals · 3 assists · 6 of 12 shots on target

P. Tietz

Forward

7.72

4 matches · 360 min

4 goals · 0 assists · 7 of 16 shots on target

K. Sano

Midfielder

7.05

4 matches · 358 min

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

P. Mwene

Midfielder

6.83

4 matches · 344 min

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

E. Martel

Midfielder

7.11

1 matches · 25 min

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

R. Zentner

Goalkeeper

6.26

2 matches · 180 min

2 saves · 0 goals conceded

A. Schwolow

Goalkeeper

4.31

3 matches · 180 min

5 saves · 0 goals conceded

H2H

Recent meetings

1. FC Köln 2 × 1 FSV Mainz 051388463
FSV Mainz 05 0 × 1 1. FC Köln1388314
Average goals
2.00 · 2 matches
Both teams scored
50% · 1 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 12.50 · 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.