18.05.2024 - 16:00
Stadium : Stade Olympique de la Pontaise (Lausanne)
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Basel | 38 | 20 | 53% |
2 | Young Boys | 38 | 19 | 50% |
3 | Luzern | 38 | 24 | 63% |
4 | St. Gallen | 38 | 23 | 61% |
5 | Grasshopper | 38 | 18 | 47% |
6 | Lugano | 38 | 20 | 53% |
7 | Lausanne Sport | 38 | 22 | 58% |
8 | Zürich | 38 | 19 | 50% |
9 | Servette | 38 | 23 | 61% |
10 | Winterthur | 38 | 30 | 79% |
11 | Yverdon Sport | 38 | 24 | 63% |
12 | Stade Lausanne-Ouchy | 38 | 24 | 63% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Basel | 19 | 10 | 53% |
2 | Young Boys | 19 | 9 | 47% |
3 | Luzern | 19 | 11 | 58% |
4 | St. Gallen | 19 | 14 | 74% |
5 | Grasshopper | 19 | 10 | 53% |
6 | Lugano | 19 | 8 | 42% |
7 | Lausanne Sport | 19 | 9 | 47% |
8 | Zürich | 19 | 10 | 53% |
9 | Servette | 19 | 12 | 63% |
10 | Winterthur | 19 | 15 | 79% |
11 | Yverdon Sport | 19 | 12 | 63% |
12 | Stade Lausanne-Ouchy | 19 | 13 | 68% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Basel | 19 | 10 | 53% |
2 | Young Boys | 19 | 10 | 53% |
3 | Luzern | 19 | 13 | 68% |
4 | St. Gallen | 19 | 9 | 47% |
5 | Grasshopper | 19 | 8 | 42% |
6 | Lugano | 19 | 12 | 63% |
7 | Lausanne Sport | 19 | 13 | 68% |
8 | Zürich | 19 | 9 | 47% |
9 | Servette | 19 | 11 | 58% |
10 | Winterthur | 19 | 15 | 79% |
11 | Yverdon Sport | 19 | 12 | 63% |
12 | Stade Lausanne-Ouchy | 19 | 11 | 58% |
This section shows the statistics on how many times Stade Lausanne-Ouchy and Lausanne Sport have both scored and conceded in the same match in the Super League.
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:
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
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