| W | | | D | | | L | |
|---|---|---|---|---|---|
| H2H: | 0 | | | 1 | | | 1 |
| 5 | | | 1 | | | 1 | |
| 4 | | | 1 | | | 2 |
| O2.5 | | | U2.5 | |
|---|---|---|---|
| H2H: | 1 | | | 1 |
| 4 | | | 3 | |
| 6 | | | 1 |
| Yes | | | No | |
|---|---|---|---|
| H2H: | 2 | | | 0 |
| 3 | | | 4 | |
| 5 | | | 2 |
| O11.5 | | | U11.5 | |
|---|---|---|---|
| H2H: | 0 | | | 2 |
| 4 | | | 3 | |
| 3 | | | 4 |
| O3.5 | | | U3.5 | |
|---|---|---|---|
| H2H: | 1 | | | 1 |
| 3 | | | 4 | |
| 4 | | | 3 |
Fixture Trends and Stats for Liverpool vs Chelsea
Trends include recent form, goals, corners, cards, head-to-head records and player data to surface betting research signals before kick-off. Check out the THEO tab for more detailed analysis.
Across their last 8 games, this happened in 7 of 8 games. Average total goals per game in this sample is 4.9. That is a very high high-scoring rate — well above what you would expect from a 50-50 split.
Across their last 8 games away from home, this happened in 7 of 8 games. Average total goals per game in this sample is 3.6. That is a very high high-scoring rate — well above what you would expect from a 50-50 split.
Across their last 8 games, this happened in 5 of 8 games. Average total goals per game in this sample is 3.3. That shows up often enough in this sample to be worth noting.
