Nera Bogodinţi vs CIL Blaj: result 1-2 and analysis
Liga III - Serie 7Group 7 - 3Kick-off on September 12, 2026 at 02:00 PM (UTC)
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What was the result of Nera Bogodinţi vs CIL Blaj?
CIL Blaj won 1-2 on September 12, 2026.
What is the recent form of both teams?
Over their last 4 matches in all competitions, Nera Bogodinţi have 0 wins, 1 draw and 3 defeats; CIL Blaj have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2026 | Unirea Sântana(away) | 0-2 | Liga III - Serie 7 |
| Aug 29, 2026 | Universitatea Alba Iulia(home) | 0-0 | Liga III - Serie 7 |
| Jul 9, 2022 | Gloria al Oraşului Geoag(away) | 0-13 | Cupa României |
| Jul 6, 2022 | Turceni(home) | 0-4 | Cupa României |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2026 | Unirea Alba Iulia(home) | 2-1 | Liga III - Serie 7 |
| Aug 29, 2026 | Metalurgistul Cugir(away) | 2-0 | Liga III - Serie 7 |
| Aug 19, 2026 | Progresul Spartac(home) | 1-3 | Cupa României |
| Aug 12, 2026 | Sănătatea Cluj(home) | 1-0 | Cupa României |
| Aug 5, 2026 | ACS Mediaş 2022(home) | 2-1 | Cupa României |
How many goals should we expect?
Nera Bogodinţi score 0.0 and concede 4.8 goals per match over their last 4; CIL Blaj score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nera Bogodinţi | 0.0 | 4.8 | 1 | 0/4 | 2/4 |
| CIL Blaj | 1.3 | 1.3 | 5 | 7/15 | 8/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Nera Bogodinţi sit 12th in Liga III - Serie 7 (2 points from 7 matches) and CIL Blaj sit 1st (16 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | CIL Blaj | 7 | 5 | 1 | 1 | 17 | 11 | 16 |
| 12 | Nera Bogodinţi | 7 | 0 | 2 | 5 | 2 | 19 | 2 |
A question about Nera Bogodinţi vs CIL Blaj?
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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