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Premier LeaguePremier League · 24/10/2026 · 15:00
ArsenalArsenal
vs
EvertonEverton

Tip Arsenal vs Everton

Arsenal and Everton face each other in Premier League (England), scheduled for 24/10/2026 at 15:00. On this page we bring together recent form, head‑to‑head record, league standings and key absences, finishing with our EV+ statistical model’s pick for the 1X2 and goals markets.

No standings available for this league/season.

Head-to-head (H2H)

In the most recent head‑to‑head meetings between Arsenal and Everton, the teams have faced each other 36 time(s), with Arsenal winning 20 match(es), Everton winning 7 and 9 draw(s), for an average of 2.4 goal(s) per game. Most encounters finished under three goals, suggesting generally tighter scorelines. In fewer than half of the games both teams scored, hinting at a slightly more favourable record for the defences. In the latest meeting, the score was Arsenal 0-0 Everton, played on 23/05/2027 in the Premier League, an extra data point to consider when framing the context of this new clash.

TABLE – Head-to-head

Last matches: Arsenal
No recent match data available for the home team.
Last matches: Everton
No recent match data available for the away team.
Head-to-head matches
No head-to-head matches found.

Main match odds

Full time 1X2

Total goals 2.5

OVER 2.5
1.80
UNDER 2.5
1.95

Both teams to score

YES
2.10
NO
1.75

Conclusion – Arsenal vs Everton

Given recent form, key absences and the usually balanced head‑to‑head record between Arsenal and Everton, our EV+ statistical model finds positive expected value in the 1X2 market, highlighting the scenario above as the main betting angle. As an alternative or complement, the goals market suggested by the model offers an extra option for more conservative profiles or for diversifying exposure to this match.

EV reading guideline: values up to around 8 points are not particularly strong; above that level we are already talking about meaningful positive expected value. When EV moves beyond 15 points, it is recommended to further investigate contextual factors that might be inflating the model, such as teams already relegated or with nothing to play for, internal crises, heavy injury lists in key positions, recent coaching changes, schedule congestion, extreme weather or clear differences in competitive motivation.