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Sancataldese 1 - 1 Catania

04.12.2022 - 08:30

Finished

Both Teams to Score

# Team MP BTTS BTTS%
1
Catania Team Logo

Catania

34 15 44%
2
Vibonese Team Logo

Vibonese

34 16 47%
3
Aversa Normanna Team Logo

Aversa Normanna

34 13 38%
4
Acireale Team Logo

Acireale

34 12 35%
5
Cittanovese Team Logo

Cittanovese

34 14 41%
6
Castrovillari Team Logo

Castrovillari

34 13 38%
7
Licata Team Logo

Licata

34 16 47%
8
Sancataldese Team Logo

Sancataldese

34 10 29%
9
Locri 1909 Team Logo

Locri 1909

34 19 56%
10
Città Di Sant’Agata Team Logo

Città Di Sant’Agata

34 21 62%
11
San Luca Team Logo

San Luca

34 21 62%
12
Santa Maria Cilento Team Logo

Santa Maria Cilento

34 19 56%
13
Paternò Team Logo

Paternò

34 12 35%
14
Mariglianese Team Logo

Mariglianese

34 12 35%
15
Lamezia Terme Team Logo

Lamezia Terme

34 15 44%
16
Trapani 1905 Team Logo

Trapani 1905

34 18 53%
17
Canicattì Team Logo

Canicattì

34 14 41%
18
Ragusa Team Logo

Ragusa

34 12 35%
# Team MP BTTS BTTS%
1
Catania Team Logo

Catania

17 6 35%
2
Vibonese Team Logo

Vibonese

17 11 65%
3
Aversa Normanna Team Logo

Aversa Normanna

17 8 47%
4
Acireale Team Logo

Acireale

17 8 47%
5
Cittanovese Team Logo

Cittanovese

17 6 35%
6
Castrovillari Team Logo

Castrovillari

17 5 29%
7
Licata Team Logo

Licata

17 9 53%
8
Sancataldese Team Logo

Sancataldese

17 6 35%
9
Locri 1909 Team Logo

Locri 1909

17 9 53%
10
Città Di Sant’Agata Team Logo

Città Di Sant’Agata

17 9 53%
11
San Luca Team Logo

San Luca

17 10 59%
12
Santa Maria Cilento Team Logo

Santa Maria Cilento

17 7 41%
13
Paternò Team Logo

Paternò

17 4 24%
14
Mariglianese Team Logo

Mariglianese

17 6 35%
15
Lamezia Terme Team Logo

Lamezia Terme

17 7 41%
16
Trapani 1905 Team Logo

Trapani 1905

17 9 53%
17
Canicattì Team Logo

Canicattì

17 9 53%
18
Ragusa Team Logo

Ragusa

17 7 41%
# Team MP BTTS BTTS%
1
Catania Team Logo

Catania

17 9 53%
2
Vibonese Team Logo

Vibonese

17 5 29%
3
Aversa Normanna Team Logo

Aversa Normanna

17 5 29%
4
Acireale Team Logo

Acireale

17 4 24%
5
Cittanovese Team Logo

Cittanovese

17 8 47%
6
Castrovillari Team Logo

Castrovillari

17 8 47%
7
Licata Team Logo

Licata

17 7 41%
8
Sancataldese Team Logo

Sancataldese

17 4 24%
9
Locri 1909 Team Logo

Locri 1909

17 10 59%
10
Città Di Sant’Agata Team Logo

Città Di Sant’Agata

17 12 71%
11
San Luca Team Logo

San Luca

17 11 65%
12
Santa Maria Cilento Team Logo

Santa Maria Cilento

17 12 71%
13
Paternò Team Logo

Paternò

17 8 47%
14
Mariglianese Team Logo

Mariglianese

17 6 35%
15
Lamezia Terme Team Logo

Lamezia Terme

17 8 47%
16
Trapani 1905 Team Logo

Trapani 1905

17 9 53%
17
Canicattì Team Logo

Canicattì

17 5 29%
18
Ragusa Team Logo

Ragusa

17 5 29%

This section shows the statistics on how many times Sancataldese and Catania have both scored and conceded in the same match in the Serie D Group I.

The “Both Teams to Score” stat is a good data point to use for seeing whether or not a match will feature many (or any) goals. If both teams have a high rate of both scoring and conceding goals, then there is a good chance that a couple of goals will go in. But if one or both teams have low BTTS rates, then their match could be a lower-scoring affair.

Check out the BTTS (both teams to score) stats for the match:

  • In 34 matches played in the Serie D Group I, Sancataldese has scored and conceded goals in 10 matches. In other words, 29% of its matches have seen both teams score. Their BTTS percentage is 35% at home, while it is 24% away from home.
  • Meanwhile, Catania has scored and conceded in 15 of their 34 matches so far in the Serie D Group I, giving them a BTTS rate of 44%. Both teams have scored in 6 of Catania’s 17 home matches, and it has happened 9 times in 17 matches as the away side.

It’s important to consider BTTS statistics when analysing teams as they provide insight into the teams’ overall approach and performance in matches. Teams with a high percentage of both teams scoring usually have more attacking approaches, whilst a lower rate of both teams scoring could point to a slightly more conservative gameplan for the most part.

And of course, this information should prove quite valuable when picking bets on the “Both Teams to Score” market and other goal-related markets