English Premier League, round 7 · Saturday, 17 October, MSK
Manchester City — Ipswich Town
☆ Save matchModel prediction for 17 October
In short
Manchester City are clear favourites: 83% against 5% for the opponent, draw 12%.
The model expects plenty of goals: 3.6 in total, against a competition average of 2.8.
Over 2.5 goals — 70%, both teams to score — 52%.
Why
- By the strength ratings Manchester City are about 1.4 goals per match stronger.
Probabilities
| Expected goals: Manchester City — Ipswich Town What is xG? | 2.8–0.8 | |
| Manchester City not to lose | 95% | |
| Ipswich Town not to lose | 17% | |
| No draw | 88% | |
| Both teams to score: yes | 52% | |
| Both teams to score: no | 48% | |
| Total over 2.5 | 70% | |
| Total under 2.5 | 30% |
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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Handicap Manchester City
- Manchester City goals
- Ipswich Town goals
- Corners and cards
- Full score grid
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Form
- 11.10away · Liverpool3:0
- 20.09Sunderland5:3
- 17.09Norwich City5:0
- 13.09away · Manchester United1:0
- 08.09away · FC Porto2:0
- 10.10Fulham2:1
- 19.09away · Everton0:1
- 15.09Arsenal2:4
- 12.09away · Crystal Palace3:2
- 04.09Liverpool0:2
Head to head
- 19.01.2025Ipswich Town — Manchester City0:6
- 24.08.2024Manchester City — Ipswich Town4:1
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 1, Champions League | Manchester City | 6 | 6 | +11 | 18 |
| 2, Champions League | Arsenal | 6 | 5 | +5 | 15 |
| 9 | Liverpool | 6 | 2 | 0 | 9 |
| 10 | Ipswich Town | 6 | 3 | -3 | 9 |
| 11 | Newcastle United | 6 | 2 | -3 | 8 |
Premier League on the same day
- 333037XThe model's most likely outcome: XModel's score: 1:12.8
- 352935XThe model's most likely outcome: XModel's score: 1:13.1
- 5326211The model's most likely outcome: 1Model's score: 1:02.6
- 4727261The model's most likely outcome: 1Model's score: 1:03.0
This is the model’s statistical estimate, not a recommendation. An outcome at 83% will not happen in roughly 17 matches out of 100. How to read probabilities →