Ipswich vs Barrow: result 0-0 and analysis
FA Cup2nd RoundKick-off on December 4, 2021 at 03:00 PM (UTC)Portman Road, Ipswich, Suffolk
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What was the result of Ipswich vs Barrow?
Ipswich and Barrow drew 0-0 on December 4, 2021.
Official lineup for Ipswich vs Barrow
The starting elevens fielded at kick-off.
Ipswich
4-2-3-1- 21C. Chaplin
- 19K. Jackson
- 18M. Bonne
- 11S. Fraser
- 55Sam Morsy
- 16I. El Mizouni
- 33B. Clements
- 26C. Burgess
- 44J. Donacien
- 22A. Nsiala
- 28C. Walton
Barrow
3-5-2- 12J. Gordon
- 13T. White
- 11J. Kay
- 3P. Brough
- 28O. Banks
- 15R. Gotts
- 18J. Grayson
- 14J. Jones
- 2C. Brown
- 6M. Ellis
- 1P. Farman
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ipswich have 7 wins, 5 draws and 3 defeats; Barrow have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2021 | Arsenal U21(home) | 2-2 | EFL Trophy |
| Nov 28, 2021 | Crewe(home) | 2-1 | League One |
| Nov 23, 2021 | Rotherham(home) | 0-2 | League One |
| Nov 20, 2021 | Sunderland(away) | 0-2 | League One |
| Nov 16, 2021 | Oldham(away) | 2-1 | FA Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2021 | Sutton Utd(away) | 0-1 | League Two |
| Nov 23, 2021 | Forest Green(away) | 0-2 | League Two |
| Nov 20, 2021 | Crawley Town(home) | 0-1 | League Two |
| Nov 13, 2021 | Carlisle(away) | 0-0 | League Two |
| Nov 9, 2021 | Leicester City U21(home) | 1-0 | EFL Trophy |
How many goals should we expect?
Ipswich score 1.6 and concede 1.1 goals per match over their last 15; Barrow score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ipswich | 1.6 | 1.1 | 4 | 9/15 | 9/15 |
| Barrow | 1.1 | 1.2 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Ipswich vs Barrow?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy