Lobos ULMX vs CF Pachuca 2: result 1-4 and analysis
Liga Premier Serie AFase Final Filiales – Apertura Semi-finalsKick-off on October 27, 2022 at 10:00 PM (UTC)Estadio Miguel Alemán Valdés, Celaya
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What was the result of Lobos ULMX vs CF Pachuca 2?
CF Pachuca 2 won 1-4 on October 27, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lobos ULMX have 5 wins, 4 draws and 6 defeats; CF Pachuca 2 have 9, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Aguacateros CDU(away) | 1-1 | Liga Premier Serie A |
| Oct 8, 2022 | Colima(home) | 3-2 | Liga Premier Serie A |
| Oct 3, 2022 | Reboceros La Piedad(away) | 1-2 | Liga Premier Serie A |
| Sep 29, 2022 | Gavilanes FC Matamoros(home) | 0-5 | Liga Premier Serie A |
| Sep 25, 2022 | Catedráticos Elite(away) | 2-1 | Liga Premier Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2022 | Sporting Canamy(home) | 6-2 | Liga Premier Serie A |
| Oct 15, 2022 | Deportivo Dongu(away) | 2-1 | Liga Premier Serie A |
| Oct 7, 2022 | Leviatán(home) | 3-0 | Liga Premier Serie A |
| Oct 2, 2022 | Inter Playa del Carmen(home) | 2-0 | Liga Premier Serie A |
| Sep 29, 2022 | Montañeses(away) | 3-1 | Liga Premier Serie A |
How many goals should we expect?
Lobos ULMX score 1.1 and concede 1.7 goals per match over their last 15; CF Pachuca 2 score 3.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lobos ULMX | 1.1 | 1.7 | 5 | 8/15 | 8/15 |
| CF Pachuca 2 | 3.0 | 0.9 | 4 | 6/10 | 8/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Lobos ULMX | 26 | 11 | 6 | 9 | 33 | 28 | 40 |
A question about Lobos ULMX vs CF Pachuca 2?
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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