Mazenod Swallows vs Galaxy: result 2-1 and analysis
Premier LeagueRegular Season - 21Kick-off on February 25, 2023 at 11:00 AM (UTC)Thabeng High School Ground, Morija
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What was the result of Mazenod Swallows vs Galaxy?
Mazenod Swallows won 2-1 on February 25, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mazenod Swallows have 1 win, 3 draws and 11 defeats; Galaxy have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2023 | Manonyane(away) | 1-2 | Premier League |
| Feb 4, 2023 | LMPS(home) | 1-2 | Premier League |
| Jan 29, 2023 | LDF(home) | 1-2 | Premier League |
| Jan 22, 2023 | Machokha(home) | 1-2 | Premier League |
| Jan 15, 2023 | Matlama(away) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2023 | LDF(home) | 0-1 | Premier League |
| Feb 5, 2023 | Matlama(away) | 0-2 | Premier League |
| Jan 28, 2023 | Bantu(away) | 0-1 | Premier League |
| Jan 21, 2023 | Manonyane(home) | 0-0 | Premier League |
| Jan 14, 2023 | Lijabatho(home) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Mazenod Swallows wins, 1 draw, 0 Galaxy wins.
| Date | Score | Competition |
|---|---|---|
| Nov 16, 2022 | Galaxy 0-0 Mazenod Swallows | Premier League |
Last archived meeting: Galaxy vs Mazenod Swallows on Nov 16, 2022
How many goals should we expect?
Mazenod Swallows score 0.7 and concede 1.8 goals per match over their last 15; Galaxy score 0.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mazenod Swallows | 0.7 | 1.8 | 1 | 7/15 | 9/15 |
| Galaxy | 0.5 | 1.3 | 5 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Mazenod Swallows vs Galaxy?
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