Ajax Amateurs vs Excelsior '31: result 4-0 and analysis
Derde DivisieZaterdag - 16Kick-off on December 14, 2019 at 01:30 PM (UTC)Sportpark De Toekomst, Amsterdam-Duivendrecht
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What was the result of Ajax Amateurs vs Excelsior '31?
Ajax Amateurs won 4-0 on December 14, 2019.
Goalscorers
- 17′?Ajax Amateurs
- 50′?Ajax Amateurs
- 77′Glenn van ZoolingenAjax Amateurs
- 90′?Ajax Amateurs (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajax Amateurs have 6 wins, 3 draws and 6 defeats; Excelsior '31 have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2019 | HSV ODIN 59(away) | 0-1 | Derde Divisie |
| Nov 30, 2019 | Ter Leede(home) | 2-1 | Derde Divisie |
| Nov 23, 2019 | SteDoCo(away) | 0-3 | Derde Divisie |
| Nov 16, 2019 | VVOG(home) | 2-1 | Derde Divisie |
| Nov 9, 2019 | ONS Sneek(home) | 2-1 | Derde Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2019 | FC Lisse(home) | 2-2 | Derde Divisie |
| Nov 23, 2019 | ONS Sneek(home) | 6-1 | Derde Divisie |
| Nov 16, 2019 | Dovo(away) | 6-2 | Derde Divisie |
| Nov 9, 2019 | VVOG(away) | 1-0 | Derde Divisie |
| Oct 31, 2019 | Utrecht(home) | 1-4 | KNVB Beker |
How many goals should we expect?
Ajax Amateurs score 1.5 and concede 1.8 goals per match over their last 15; Excelsior '31 score 2.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajax Amateurs | 1.5 | 1.8 | 3 | 9/15 | 10/15 |
| Excelsior '31 | 2.3 | 1.8 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Excelsior '31 | 11 | 7 | 1 | 3 | 28 | 13 | 22 |
A question about Ajax Amateurs vs Excelsior '31?
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