Catania vs Savoia: result 0-3 and analysis
Coppa Italia Serie CRound of 32Kick-off on September 2, 2026 at 07:00 PM (UTC)Stadio Angelo Massimino, Catania
Full time
What was the result of Catania vs Savoia?
Savoia won 0-3 on September 2, 2026.
Goalscorers
- 12′G. TumbarelloSavoia
- 21′A. NepiSavoia
- 59′A. NepiSavoia
What had the model predicted before the match?
Before kick-off, the Footlab AI model gave a Catania win at 46%: prediction missed. Most likely score announced: 1-1. Actual score: 0-3.
Computed by the Footlab AI model from our own data only, with no AI analysis.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Catania have 3 wins, 6 draws and 6 defeats; Savoia have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2026 | SS Monopoli(away) | 0-2 | Serie C - Girone C |
| Aug 23, 2026 | Inter U23(home) | 1-2 | Serie C - Girone C |
| Aug 14, 2026 | Parma(away) | 0-2 | Coppa Italia |
| Aug 8, 2026 | Vicenza Virtus(away) | 1-1 | Coppa Italia |
| May 27, 2026 | Ascoli(home) | 2-1 | Serie C - Promotion - Play-offs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2026 | Casertana(home) | 1-2 | Serie C - Girone C |
| Aug 23, 2026 | AZ Picerno(away) | 2-3 | Serie C - Girone C |
| Aug 14, 2026 | Casertana(away) | 2-1 | Coppa Italia Serie C |
| May 13, 2026 | Scafatese(home) | 1-4 | Serie D - Championship Round |
| May 10, 2026 | Barletta(away) | 1-2 | Serie D - Championship Round |
How many goals should we expect?
Catania score 0.9 and concede 1.5 goals per match over their last 15; Savoia score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Catania | 0.9 | 1.5 | 2 | 9/15 | 6/15 |
| Savoia | 1.7 | 1.1 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Catania vs Savoia?
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