Statistics / Football / England. Premier League / Tottenham vs Everton

Tottenham vs Everton Statistics & Analysis

May 24, 2026 - 15:00
1 1.48
0 1.11
xG Accuracy: 65%
Premium betting site 1xbet: New users can use the promo code 1x_3342271 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Tottenham Tottenham ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-0 ✔ Correct

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Premier League
  • Fixture: Tottenham vs Everton
  • Kickoff: 2026-05-24 15:00:00
  • 1X2 (model): Home 44.0% · Draw 29.1% · Away 26.8%
  • xG (showing): Tottenham 1.48 — Everton 1.11 (total xG ≈ 2.59)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 52.1% · Implied: 48.9% · Probability edge: +3.2 pts · Est. EV: +10.4%
  • BTTS (model): Yes 53.4% · No 46.6%
  • Correct score (top bin): 1-1 (12.3%)

Totals and BTTS are evaluated against current market prices where available.

Early match state can move realised goals away from pre-kick projections.

Best Bet + Reason

The engine’s headline primary is: Under 2.5 goals.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

FAQ

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Risk Factors

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

June 08, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

Get Premium Predictions for Tottenham & Everton!

Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.

Subscribe Now
Back to Statistics
Premier League Premier LeagueStandings
# TEAM MP W D L PTS
1 Arsenal 38 26 7 5 85
2 Manchester City 38 23 9 6 78
3 Manchester United 38 20 11 7 71
4 Aston Villa 38 19 8 11 65
5 Liverpool 38 17 9 12 60
6 Bournemouth 38 13 18 7 57
7 Sunderland 38 14 12 12 54
8 Brighton 38 14 11 13 53
9 Brentford 38 14 11 13 53
10 Chelsea 38 14 10 14 52
11 Fulham 38 15 7 16 52
12 Newcastle 38 14 7 17 49
13 Everton 38 13 10 15 49
14 Leeds 38 11 14 13 47
15 Crystal Palace 38 11 12 15 45
16 Nottingham Forest 38 11 11 16 44
17 Tottenham 38 10 11 17 41
18 West Ham 38 10 9 19 39
19 Burnley 38 4 10 24 22
20 Wolves 38 3 11 24 20
# TEAM MP GS GC +/- PTS
1 Manchester City 38 77 35 +42 78
2 Arsenal 38 71 27 +44 85
3 Manchester United 38 69 50 +19 71
4 Liverpool 38 63 53 +10 60
5 Chelsea 38 58 52 +6 52
6 Bournemouth 38 58 54 +4 57
7 Aston Villa 38 56 49 +7 65
8 Brentford 38 55 52 +3 53
9 Newcastle 38 53 55 -2 49
10 Brighton 38 52 46 +6 53
11 Leeds 38 49 56 -7 47
12 Nottingham Forest 38 48 51 -3 44
13 Tottenham 38 48 57 -9 41
14 Everton 38 47 50 -3 49
15 Fulham 38 47 51 -4 52
16 West Ham 38 46 65 -19 39
17 Sunderland 38 42 48 -6 54
18 Crystal Palace 38 41 51 -10 45
19 Burnley 38 38 75 -37 22
20 Wolves 38 27 68 -41 20
# TEAM MP xG xGC +/- PTS
1 Arsenal 38 64.5 28.8 +35.7 85
2 Manchester City 38 68.8 42.6 +26.2 78
3 Manchester United 38 64.7 48.5 +16.2 71
4 Liverpool 38 60.1 46.9 +13.2 60
5 Chelsea 38 63.5 51.9 +11.6 52
6 Brighton 38 57.4 49.9 +7.5 53
7 Crystal Palace 38 57.6 50.2 +7.4 45
8 Bournemouth 38 62.5 56.8 +5.7 57
9 Newcastle 38 57.2 51.5 +5.7 49
10 Brentford 38 59.3 54.3 +5.0 53
11 Leeds 38 54.4 55.1 -0.7 47
12 Fulham 38 47.9 52.2 -4.3 52
13 Aston Villa 38 47.6 54.3 -6.7 65
14 Nottingham Forest 38 46.3 56.3 -10.0 44
15 Everton 38 45.9 55.9 -10.0 49
16 Tottenham 38 40.8 52.2 -11.4 41
17 West Ham 38 45.1 56.8 -11.7 39
18 Sunderland 38 39.1 53.4 -14.3 54
19 Wolves 38 35.5 58.1 -22.6 20
20 Burnley 38 32.3 74.9 -42.6 22