Tomislav vs Rudar Kakanj: result 0-0 and analysis
1st League - FBiHFBiH - 9Kick-off on October 10, 2021 at 01:00 PM (UTC)Stadion Tomislavgrad, Tomislavgrad
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What was the result of Tomislav vs Rudar Kakanj?
Tomislav and Rudar Kakanj drew 0-0 on October 10, 2021.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Tomislav have 1 wins, 1 draws and 6 defeats; Rudar Kakanj have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Vis Kosova(away) | 1-3 | 1st League - FBiH |
| Sep 25, 2021 | Budućnost Banovići(home) | 0-1 | 1st League - FBiH |
| Sep 18, 2021 | Bratstvo Gračanica(away) | 0-3 | 1st League - FBiH |
| Sep 11, 2021 | GOŠK Gabela(home) | 0-1 | 1st League - FBiH |
| Sep 4, 2021 | Travnik(away) | 1-1 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Jedinstvo Bihać(home) | 1-0 | 1st League - FBiH |
| Sep 25, 2021 | Orašje(away) | 1-2 | 1st League - FBiH |
| Sep 18, 2021 | Igman Konjic(home) | 1-0 | 1st League - FBiH |
| Sep 11, 2021 | Zvijezda Gradačac(home) | 1-0 | 1st League - FBiH |
| Sep 4, 2021 | Vis Kosova(away) | 0-4 | 1st League - FBiH |
How many goals should we expect?
Tomislav score 0.9 and concede 2.3 goals per match over their last 8; Rudar Kakanj score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tomislav | 0.9 | 2.3 | 0 | 4/8 | 5/8 |
| Rudar Kakanj | 1.1 | 1.3 | 5 | 7/15 | 7/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Tomislav sit 16th in 1st League - FBiH (0 points from 2 matches) and Rudar Kakanj sit 15th (0 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Rudar Kakanj | 2 | 0 | 0 | 2 | 0 | 6 | 0 |
| 16 | Tomislav | 2 | 0 | 0 | 2 | 0 | 6 | 0 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy