Teplice II vs Jablonec II: prediction and stats
3. liga - CFL BČFL B - 8Kick-off on October 11, 2020 at 09:00 AM (UTC)Hřiště 1. FC Dubí, Dubí
Match cancelled
What is the recent form of both teams?
Over their last 7 matches in all competitions, Teplice II have 0 wins, 3 draws and 4 defeats; Jablonec II have 5, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2020 | Bohemians 1905 II(away) | 0-2 | 3. liga - CFL B |
| Sep 27, 2020 | Slovan Liberec II(home) | 3-3 | 3. liga - CFL B |
| Sep 19, 2020 | Slovan Velvary(away) | 1-1 | 3. liga - CFL B |
| Sep 11, 2020 | Ústí nad Orlicí(home) | 2-2 | 3. liga - CFL B |
| Sep 6, 2020 | Chlumec nad Cidlinou(away) | 0-4 | 3. liga - CFL B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Mladá Boleslav II(home) | 2-1 | 3. liga - CFL B |
| Sep 26, 2020 | Zbuzany(away) | 0-2 | 3. liga - CFL B |
| Sep 20, 2020 | Bohemians 1905 II(away) | 1-0 | 3. liga - CFL B |
| Sep 12, 2020 | Slovan Liberec II(home) | 2-5 | 3. liga - CFL B |
| Sep 5, 2020 | Slovan Velvary(away) | 2-0 | 3. liga - CFL B |
How many goals should we expect?
Teplice II score 1.0 and concede 2.3 goals per match over their last 7; Jablonec II score 2.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Teplice II | 1.0 | 2.3 | 0 | 4/7 | 4/7 |
| Jablonec II | 2.0 | 1.7 | 3 | 4/9 | 5/9 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Teplice II sit 5th in 3. liga - CFL B (50 points from 32 matches) and Jablonec II sit 8th (39 points from 32 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Teplice II | 32 | 14 | 8 | 10 | 46 | 42 | 50 |
| 8 | Jablonec II | 32 | 11 | 6 | 15 | 49 | 62 | 39 |
A question about Teplice II vs Jablonec II?
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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