Spišská Nová Ves vs Rudňany: result 3-0 and analysis
3. liga - EastEast - 15Kick-off on October 30, 2021 at 12:00 PM (UTC)Štadión Nová Ves, Spišská Nová Ves
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What was the result of Spišská Nová Ves vs Rudňany?
Spišská Nová Ves won 3-0 on October 30, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spišská Nová Ves have 12 wins, 3 draws and 0 defeats; Rudňany have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Mladosť Kalša(home) | 3-0 | 3. liga - East |
| Oct 9, 2021 | Vranov nad Topľou(away) | 2-0 | 3. liga - East |
| Oct 2, 2021 | Slávia TU Košice(home) | 1-1 | 3. liga - East |
| Sep 25, 2021 | Tatran Prešov(away) | 3-1 | 3. liga - East |
| Sep 18, 2021 | Lipany(home) | 1-1 | 3. liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Svidník(home) | 2-1 | 3. liga - East |
| Oct 17, 2021 | MSK Tesla Stropkov(away) | 0-2 | 3. liga - East |
| Oct 9, 2021 | Pokrok Krompachy(home) | 5-1 | 3. liga - East |
| Oct 3, 2021 | Mladosť Kalša(away) | 2-3 | 3. liga - East |
| Sep 25, 2021 | Sobrance(home) | 3-2 | 3. liga - East |
How many goals should we expect?
Spišská Nová Ves score 3.1 and concede 0.7 goals per match over their last 15; Rudňany score 1.8 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spišská Nová Ves | 3.1 | 0.7 | 7 | 8/15 | 9/15 |
| Rudňany | 1.8 | 2.9 | 0 | 13/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Spišská Nová Ves | 26 | 20 | 5 | 1 | 66 | 18 | 65 |
A question about Spišská Nová Ves vs Rudňany?
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