Team Ticino vs Gambarogno - Contone: result 4-0 and analysis
2. Liga Interregional - Group 4Group 4 · Matchday 6Kick-off on September 26, 2020 at 04:00 PM (UTC)Centro sportivo Cornaredo B2, Lugano
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What was the result of Team Ticino vs Gambarogno - Contone?
Team Ticino won 4-0 on September 26, 2020.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Team Ticino have 3 wins, 1 draw and 1 defeat; Gambarogno - Contone have 1, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Perlen-Buchrain(away) | 0-3 | 2. Liga Interregional - Group 4 |
| Sep 12, 2020 | Emmenbrücke(home) | 2-1 | 2. Liga Interregional - Group 4 |
| Sep 5, 2020 | Mendrisio(away) | 2-1 | 2. Liga Interregional - Group 4 |
| Aug 29, 2020 | Willisau(home) | 2-2 | 2. Liga Interregional - Group 4 |
| Aug 22, 2020 | Novazzano(away) | 3-2 | 2. Liga Interregional - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Brunnen(home) | 0-0 | 2. Liga Interregional - Group 4 |
| Sep 12, 2020 | Kickers Luzern(away) | 0-1 | 2. Liga Interregional - Group 4 |
| Sep 9, 2020 | Ibach(away) | 0-1 | 2. Liga Interregional - Group 4 |
| Sep 5, 2020 | Sursee(home) | 2-1 | 2. Liga Interregional - Group 4 |
| Aug 22, 2020 | Taverne(home) | 0-0 | 2. Liga Interregional - Group 4 |
How many goals should we expect?
Team Ticino score 1.8 and concede 1.8 goals per match over their last 5; Gambarogno - Contone score 0.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Team Ticino | 1.8 | 1.8 | 0 | 4/5 | 5/5 |
| Gambarogno - Contone | 0.3 | 1.3 | 2 | 1/6 | 2/6 |
Over the last 5 matches in all competitions.
A question about Team Ticino vs Gambarogno - Contone?
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