Panthère vs Gazelle: result 2-1 and analysis
Elite OneRegular Season - 13Kick-off on February 19, 2025 at 02:30 PM (UTC)Stade Municipal de Bangangté, Bangangté
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What was the result of Panthère vs Gazelle?
Panthère won 2-1 on February 19, 2025.
Goalscorers
- 1′?Gazelle
- 62′?Panthère
- 90′?Panthère
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panthère have 8 wins, 2 draws and 5 defeats; Gazelle have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2025 | Aigle Royal de Moungo(home) | 1-0 | Elite One |
| Feb 9, 2025 | Dynamo de Douala(away) | 0-0 | Elite One |
| Feb 2, 2025 | Stade Renard(away) | 1-0 | Elite One |
| Jan 26, 2025 | Union Douala(home) | 2-1 | Elite One |
| Jan 19, 2025 | Bamboutos(home) | 2-0 | Elite One |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2025 | Canon(away) | 1-0 | Elite One |
| Feb 9, 2025 | Cotonsport(home) | 3-3 | Elite One |
| Jan 29, 2025 | Bamboutos(home) | 1-2 | Elite One |
| Jan 26, 2025 | Victoria United(home) | 3-1 | Elite One |
| Jan 15, 2025 | Stade Renard(away) | 2-0 | Elite One |
How many goals should we expect?
Panthère score 1.5 and concede 0.8 goals per match over their last 15; Gazelle score 1.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panthère | 1.5 | 0.8 | 7 | 5/15 | 6/15 |
| Gazelle | 1.8 | 0.8 | 7 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Panthère sit 9th in Elite One (31 points from 24 matches) and Gazelle sit 8th (32 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Gazelle | 25 | 9 | 5 | 11 | 24 | 29 | 32 |
| 9 | Panthère | 24 | 9 | 4 | 11 | 26 | 24 | 31 |
A question about Panthère vs Gazelle?
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