Mosgiel vs Ferrymead Bays: result 1-3 and analysis
National League - SouthernSouthern League - 2Kick-off on April 2, 2022 at 12:00 AM (UTC)Memorial Park Mosgiel, Mosgiel
Full time
What was the result of Mosgiel vs Ferrymead Bays?
Ferrymead Bays won 1-3 on April 2, 2022.
Goalscorers
- 26′E. PanzerFerrymead Bays
- 34′W. PierceFerrymead Bays
- 41′W. PierceFerrymead Bays
- 50′Cody BrookMosgiel (pen.)
Official lineup for Mosgiel vs Ferrymead Bays
The starting elevens fielded at kick-off.
Mosgiel
- II. Hamilton
- CCurtis Day
- CCody Brook
- MMatthew Kelly
- RRahan Ali
- CCam McPhail
- RRory Findlay
- JJ. Langley
- BBenjamin Taylor
- CCaleb Osborne
- DDaniel Robinson
Ferrymead Bays
- WW. Pierce
- BB. Kiore
- RR. Stanley
- KK. Oikawa
- MM. White
- JJ. Deehan
- RR. Williams
- EE. Panzer
- LL. Bush
- AA. Meaclem
- CC. Turipa
What is the recent form of both teams?
In their last match in all competitions, Mosgiel have 0 wins, 0 draws and 1 defeat; Ferrymead Bays have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2022 | Dunedin City Royals(away) | 0-2 | National League - Southern |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2022 | Cashmere Technical(home) | 0-2 | National League - Southern |
How many goals should we expect?
Mosgiel score 0.0 and concede 2.0 goals per match in their last match; Ferrymead Bays score 0.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mosgiel | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
| Ferrymead Bays | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
Over the last match in all competitions.
A question about Mosgiel vs Ferrymead Bays?
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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