Selongey vs Pontarlier: prediction and stats
National 3 - Group EGroup E - 18Kick-off on March 7, 2020 at 12:00 AM (UTC)Stade des Courvelles, Selongey
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Selongey have 4 wins, 2 draws and 9 defeats; Pontarlier have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 29, 2020 | Auxerre II(away) | 0-3 | National 3 - Group E |
| Feb 15, 2020 | Gueugnon(home) | 2-1 | National 3 - Group E |
| Feb 8, 2020 | Besançon(away) | 0-4 | National 3 - Group E |
| Jan 25, 2020 | Roche Novillars(home) | 2-2 | National 3 - Group E |
| Jan 12, 2020 | Valdahon Vercel(away) | 1-3 | National 3 - Group E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2020 | Sochaux II(away) | 1-4 | National 3 - Group E |
| Jan 25, 2020 | Racing Besançon(away) | 1-3 | National 3 - Group E |
| Jan 11, 2020 | Sens(home) | 4-0 | National 3 - Group E |
| Dec 15, 2019 | Valdahon Vercel(away) | 3-1 | National 3 - Group E |
| Nov 30, 2019 | Auxerre II(away) | 0-2 | National 3 - Group E |
What does the head-to-head say?
In the last meeting: 0 Selongey wins, 0 draws, 1 Pontarlier win.
| Date | Score | Competition |
|---|---|---|
| Oct 5, 2019 | Pontarlier 3-1 Selongey | National 3 - Group E |
Last archived meeting: Pontarlier vs Selongey on Oct 5, 2019
How many goals should we expect?
Selongey score 0.9 and concede 1.9 goals per match over their last 15; Pontarlier score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Selongey | 0.9 | 1.9 | 3 | 6/15 | 7/15 |
| Pontarlier | 1.6 | 1.5 | 3 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Selongey vs Pontarlier?
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