Whitehawk vs Haringey Borough: result 2-1 and analysis
Non League Premier - IsthmianIsthmian - 7Kick-off on October 10, 2023 at 06:45 PM (UTC)The Enclosed Ground, Brighton, East Sussex
Full time
What was the result of Whitehawk vs Haringey Borough?
Whitehawk won 2-1 on October 10, 2023.
Goalscorers
- 67′M. YoungHaringey Borough
- 84′?Whitehawk (pen.)
- 90′?Whitehawk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Whitehawk have 8 wins, 5 draws and 2 defeats; Haringey Borough have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2023 | Ascot United(home) | 2-0 | FA Trophy |
| Sep 30, 2023 | Worthing(away) | 1-2 | FA Cup |
| Sep 23, 2023 | Folkestone Invicta(away) | 1-1 | Non League Premier - Isthmian |
| Sep 16, 2023 | Redhill(home) | 4-0 | FA Cup |
| Sep 9, 2023 | Canvey Island(away) | 2-1 | Non League Premier - Isthmian |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2023 | Folkestone Invicta(away) | 2-2 | FA Trophy |
| Sep 30, 2023 | Dover(away) | 1-2 | FA Cup |
| Sep 23, 2023 | AFC Hornchurch(home) | 1-2 | Non League Premier - Isthmian |
| Sep 16, 2023 | Tonbridge Angels(home) | 4-2 | FA Cup |
| Sep 9, 2023 | Hastings United(away) | 1-2 | Non League Premier - Isthmian |
How many goals should we expect?
Whitehawk score 1.7 and concede 0.9 goals per match over their last 15; Haringey Borough score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Whitehawk | 1.7 | 0.9 | 6 | 9/15 | 8/15 |
| Haringey Borough | 1.4 | 1.7 | 0 | 13/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 22 | Whitehawk | 13 | 1 | 3 | 9 | 12 | 32 | 6 |
A question about Whitehawk vs Haringey Borough?
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
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