Auckland City vs Takapuna: result 2-1 and analysis
National League - NorthernNorthern League - 2Kick-off on April 2, 2022 at 12:00 AM (UTC)Kiwitea Street, Auckland
Full time
What was the result of Auckland City vs Takapuna?
Auckland City won 2-1 on April 2, 2022.
Goalscorers
- 38′S. BrothertonAuckland City
- 52′S. RobertsonTakapuna
- 61′N. LoboAuckland City
Official lineup for Auckland City vs Takapuna
The starting elevens fielded at kick-off.
Auckland City
- JJ. Lee
- AA. Kilkolly
- MM. Ilich
- RR. Drake
- DD. Manickum
- GGerard Garriga
- JJ. Vale
- AA. Mitchell
- SS. Brotherton
- NN. Lobo
- CC. Tracey
Takapuna
- SS. Robertson
- SS. Willcox
- CC. Cahill-Fahey
- DD. Semp
- JJ. Taylor
- DD. Gleissner-Broom
- NN. Milicich
- JJ. Reeves-Parmenter
- BB. Allan
- JJ. Neale
- LL. Anderson
What is the recent form of both teams?
Over their last 15 matches in all competitions, Auckland City have 9 wins, 4 draws and 2 defeats; Takapuna have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2022 | Melville United(home) | 2-1 | National League - Northern |
| Mar 21, 2021 | Team Wellington(home) | 2-4 | Premiership |
| Mar 14, 2021 | Eastern Suburbs(home) | 2-1 | Premiership |
| Feb 27, 2021 | Waitakere United(home) | 2-2 | Premiership |
| Feb 20, 2021 | Wellington Phoenix II(away) | 1-1 | Premiership |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2022 | Eastern Suburbs(home) | 1-0 | National League - Northern |
How many goals should we expect?
Auckland City score 2.1 and concede 1.1 goals per match over their last 15; Takapuna score 1.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Auckland City | 2.1 | 1.1 | 3 | 11/15 | 11/15 |
| Takapuna | 1.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Auckland City vs Takapuna?
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