Elo (before match)
xPi (before match)
| # | Team | Pts | Form |
|---|---|---|---|
| 1 |
Arsenal
|
67 | W W W D D |
| 2 |
Manchester City
|
60 | D W W W W |
| 3 |
Manchester United
|
51 | L W W D W |
| 4 |
Aston Villa
|
51 | L L D W D |
| 5 |
Chelsea
|
48 | W L D D W |
| 6 |
Liverpool
|
48 | L W W W L |
| 7 |
Brentford
|
44 | D W L D W |
| 8 |
Everton
|
43 | W W L L W |
| 9 |
Bournemouth
|
40 | D D D W D |
| 10 |
Fulham
|
40 | L W W L L |
| 11 |
Sunderland
|
40 | W D L L L |
| 12 |
Newcastle
|
39 | W L L W L |
| 13 |
Crystal Palace
|
38 | W L W L W |
| 14 |
Brighton
|
37 | L W W L L |
| 15 |
Leeds
|
31 | L L D D W |
| 16 |
Tottenham
|
29 | L L L L L |
| 17 |
Nottingham Forest
|
28 | D L L D L |
| 18 |
West Ham
|
28 | W L D D W |
| 19 |
Burnley
|
19 | L L D W L |
| 20 |
Wolves
|
16 | W W L D D |
python manage.py sync_match_details --match 2370
python manage.py force_resync_match_full --fixture 1379346
No Match Statistics Available
Statistics for this match have not been synced yet.
Run: python manage.py sync_match_details --match 2370
Sunderland
| Possession % | {{ team_aggregates_home.avg_possession }}% |
| Pass Accuracy % | {{ team_aggregates_home.pass_accuracy }}% |
| Shot Accuracy % | {{ team_aggregates_home.shot_accuracy }}% |
| Goals (avg) | 1.03 |
| xG (avg) | 0.93{% else %}N/A |
Chelsea
| Possession % | {{ team_aggregates_away.avg_possession }}% |
| Pass Accuracy % | {{ team_aggregates_away.pass_accuracy }}% |
| Shot Accuracy % | {{ team_aggregates_away.shot_accuracy }}% |
| Goals (avg) | 1.83 |
| xG (avg) | 1.96{% else %}N/A |
No Match Events Available
Events for this match have not been synced yet.
Run: python manage.py sync_match_details --match 2370
Teams in this match: Sunderland and Chelsea
| # | Team | MP | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
Arsenal
|
30 | 20 | 7 | 3 | 59 | 22 | 37 | 67 | W W W D D |
| 2 |
Manchester City
|
29 | 18 | 6 | 5 | 59 | 27 | 32 | 60 | D W W W W |
| 3 |
Manchester United
|
29 | 14 | 9 | 6 | 51 | 40 | 11 | 51 | L W W D W |
| 4 |
Aston Villa
|
29 | 15 | 6 | 8 | 39 | 34 | 5 | 51 | L L D W D |
| 5 |
Chelsea
|
29 | 13 | 9 | 7 | 53 | 34 | 19 | 48 | W L D D W |
| 6 |
Liverpool
|
29 | 14 | 6 | 9 | 48 | 39 | 9 | 48 | L W W W L |
| 7 |
Brentford
|
29 | 13 | 5 | 11 | 44 | 40 | 4 | 44 | D W L D W |
| 8 |
Everton
|
29 | 12 | 7 | 10 | 34 | 33 | 1 | 43 | W W L L W |
| 9 |
Bournemouth
|
29 | 9 | 13 | 7 | 44 | 46 | -2 | 40 | D D D W D |
| 10 |
Fulham
|
29 | 12 | 4 | 13 | 40 | 43 | -3 | 40 | L W W L L |
| 11 |
Sunderland
|
29 | 10 | 10 | 9 | 30 | 34 | -4 | 40 | W D L L L |
| 12 |
Newcastle
|
29 | 11 | 6 | 12 | 42 | 43 | -1 | 39 | W L L W L |
| 13 |
Crystal Palace
|
29 | 10 | 8 | 11 | 33 | 35 | -2 | 38 | W L W L W |
| 14 |
Brighton
|
29 | 9 | 10 | 10 | 38 | 36 | 2 | 37 | L W W L L |
| 15 |
Leeds
|
29 | 7 | 10 | 12 | 37 | 48 | -11 | 31 | L L D D W |
| 16 |
Tottenham
|
29 | 7 | 8 | 14 | 39 | 46 | -7 | 29 | L L L L L |
| 17 |
Nottingham Forest
|
29 | 7 | 7 | 15 | 28 | 43 | -15 | 28 | D L L D L |
| 18 |
West Ham
|
29 | 7 | 7 | 15 | 35 | 54 | -19 | 28 | W L D D W |
| 19 |
Burnley
|
29 | 4 | 7 | 18 | 32 | 58 | -26 | 19 | L L D W L |
| 20 |
Wolves
|
30 | 3 | 7 | 20 | 22 | 52 | -30 | 16 | W W L D D |
Predictions provided by Football API
All data below is returned exactly as from GET /predictions?fixture={id}. Keys are not renamed or translated.
Teams
Predictions
Double chance : draw or Chelsea
Comparison
Head to Head
Last 10 matches: Home wins: 5, Away wins: 4, Draws: 1
CatBoost Prediction
Model not available yet. Run train_catboost to train a model.
No Predictions Available
Predictions for this match have not been generated yet. Check back later or sync match data.
Analysis Coming Soon
xG comparison, momentum graph, and match rating overview will be available in a future update.

















