Prey Veng vs NagaWorld: result 3-4 and analysis
C-LeagueRegular Season - 12Kick-off on September 15, 2021 at 08:30 AM (UTC)Prey Veng Football Field, Prey Veng
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What was the result of Prey Veng vs NagaWorld?
NagaWorld won 3-4 on September 15, 2021.
Goalscorers
- 47′?NagaWorld
- 50′Fumiya KogureNagaWorld
- 59′?NagaWorld (o.g.)
- 70′?Prey Veng
- 78′?Prey Veng
- 86′?Prey Veng
- 88′Fumiya KogureNagaWorld
What is the recent form of both teams?
Over their last 11 matches in all competitions, Prey Veng have 1 win, 3 draws and 7 defeats; NagaWorld have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2021 | Asia Euro United(home) | 2-4 | C-League |
| Sep 5, 2021 | National Police(home) | 0-0 | C-League |
| Aug 1, 2021 | Visakha(away) | 2-3 | C-League |
| Jul 25, 2021 | Electricite du Cambodge(away) | 0-0 | C-League |
| Jul 18, 2021 | Svay Rieng(home) | 1-2 | C-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2021 | Kirivong Sok Sen Chey(away) | 5-2 | C-League |
| Aug 1, 2021 | Phnom Penh Crown(away) | 0-1 | C-League |
| Jul 24, 2021 | Soltilo Angkor(away) | 3-3 | C-League |
| Jul 20, 2021 | Angkor Tiger(away) | 2-1 | C-League |
| Jul 14, 2021 | Asia Euro United(away) | 5-3 | C-League |
How many goals should we expect?
Prey Veng score 1.4 and concede 2.0 goals per match over their last 11; NagaWorld score 2.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Prey Veng | 1.4 | 2.0 | 3 | 7/11 | 8/11 |
| NagaWorld | 2.1 | 1.7 | 2 | 10/15 | 11/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | NagaWorld | 6 | 4 | 2 | 0 | 12 | 7 | 14 |
A question about Prey Veng vs NagaWorld?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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