Lam Dong vs Sanna Khanh Hoa: prediction and stats
V.League 2Regular Season - 7Kick-off on November 7, 2026 at 08:30 AM (UTC)
Match in progress
What is the recent form of both teams?
Over their last 7 matches in all competitions, Lam Dong have 1 win, 0 draws and 6 defeats; Sanna Khanh Hoa have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2026 | Than Quang Ninh(away) | 0-2 | V.League 2 |
| Oct 27, 2026 | Pho Hien(home) | 1-2 | V.League 2 |
| Oct 23, 2026 | Binh Dinh(away) | 0-4 | V.League 2 |
| Oct 17, 2026 | Văn Hiến(home) | 3-0 | V.League 2 |
| Oct 10, 2026 | Binh Duong(away) | 1-3 | V.League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2026 | Bóng đá Huế(away) | 2-1 | V.League 2 |
| Oct 27, 2026 | Dong Thap(home) | 0-1 | V.League 2 |
| Oct 23, 2026 | Than Quang Ninh(home) | 1-1 | V.League 2 |
| Oct 18, 2026 | Long An(away) | 1-0 | V.League 2 |
| Oct 11, 2026 | Pho Hien(home) | 4-1 | V.League 2 |
How many goals should we expect?
Lam Dong score 0.7 and concede 2.0 goals per match over their last 7; Sanna Khanh Hoa score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lam Dong | 0.7 | 2.0 | 1 | 2/7 | 4/7 |
| Sanna Khanh Hoa | 1.1 | 1.1 | 2 | 10/15 | 5/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Lam Dong sit 13th in V.League 2 (3 points from 6 matches) and Sanna Khanh Hoa sit 5th (11 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Sanna Khanh Hoa | 6 | 3 | 2 | 1 | 9 | 5 | 11 |
| 13 | Lam Dong | 6 | 1 | 0 | 5 | 5 | 12 | 3 |
A question about Lam Dong vs Sanna Khanh Hoa?
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