Ipswich vs Newcastle: result 3-1 and analysis
ChampionshipRegular Season - 43Kick-off on April 17, 2017 at 02:00 PM (UTC)Portman Road, Ipswich, Suffolk
Full time
What was the result of Ipswich vs Newcastle?
Ipswich won 3-1 on April 17, 2017.
Goalscorers
- 42′F. SearsIpswich
- 62′Daryl Michael MurphyNewcastle
- 69′D. McGoldrickIpswich
- 90′E. HuwsIpswich
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ipswich have 3 wins, 9 draws and 3 defeats; Newcastle have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2017 | Burton Albion(away) | 2-1 | Championship |
| Apr 8, 2017 | Fulham(away) | 1-3 | Championship |
| Apr 4, 2017 | Wigan(home) | 3-0 | Championship |
| Apr 1, 2017 | Birmingham(home) | 1-1 | Championship |
| Mar 18, 2017 | Cardiff(away) | 1-3 | Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2017 | Leeds(home) | 1-1 | Championship |
| Apr 8, 2017 | Sheffield Wednesday(away) | 1-2 | Championship |
| Apr 5, 2017 | Burton Albion(home) | 1-0 | Championship |
| Apr 1, 2017 | Wigan(home) | 2-1 | Championship |
| Mar 18, 2017 | Birmingham(away) | 0-0 | Championship |
What does the head-to-head say?
Across the last 1 meetings: 0 Ipswich win(s), 0 draw(s), 1 Newcastle win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2016 | Newcastle 3-0 Ipswich | Championship |
How many goals should we expect?
Ipswich score 1.1 and concede 1.3 goals per match over their last 15; Newcastle score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ipswich | 1.1 | 1.3 | 3 | 11/15 | 6/15 |
| Newcastle | 1.4 | 1.0 | 6 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Ipswich | 46 | 23 | 15 | 8 | 80 | 47 | 84 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy