West Ham vs Arsenal Statistics & Analysis

May 10, 2026 - 15:30
0 1.07
1 1.23
xG Accuracy: 70%
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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 Arsenal Arsenal ✔ Correct
  • Correct Score Insights 1-1 0-1 ✖ Incorrect

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: West Ham vs Arsenal
  • Kickoff: 2026-05-09 14:00:00
  • 1X2 (model): Home 30.2% · Draw 31.6% · Away 38.2%
  • xG (showing): West Ham 1.07 — Arsenal 1.23 (total xG ≈ 2.3)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 59.6% · Over 2.5 40.4%); BTTS No (Yes 48.2% · No 51.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 48.2% · No 51.8%
  • Correct score (top bin): 1-1 (13.2%)

The decision block shows no default bet: no tracked line clears the headline minimum +EV threshold at the best prices we have (a leg can still show small +EV below that bar). Lean labels are directional only — not bankroll-sized recommendations.

Prefer skipping to over-staking when the engine is honest about missing edge.

Best Bet + Reason

No clear +EV headline on this snapshot.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

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

May 17, 2026 (UTC)

How to use this
  • When there is no Primary line, compare the +EV rows in the market cards below (not only 1X2).
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
Premier League Premier LeagueStandings
# TEAM MP W D L PTS
1 Arsenal 36 24 7 5 79
2 Manchester City 36 23 8 5 77
3 Manchester United 36 18 11 7 65
4 Aston Villa 37 18 8 11 62
5 Liverpool 37 17 8 12 59
6 Bournemouth 36 13 16 7 55
7 Brighton 36 14 11 11 53
8 Brentford 36 14 9 13 51
9 Chelsea 36 13 10 13 49
10 Everton 36 13 10 13 49
11 Fulham 36 14 6 16 48
12 Sunderland 36 12 12 12 48
13 Newcastle 36 13 7 16 46
14 Leeds 36 10 14 12 44
15 Crystal Palace 36 11 11 14 44
16 Nottingham Forest 36 11 10 15 43
17 Tottenham 36 9 11 16 38
18 West Ham 36 9 9 18 36
19 Burnley 36 4 9 23 21
20 Wolves 36 3 9 24 18
# TEAM MP GS GC +/- PTS
1 Manchester City 36 75 32 +43 77
2 Arsenal 36 68 26 +42 79
3 Manchester United 36 63 48 +15 65
4 Liverpool 37 62 52 +10 59
5 Bournemouth 36 56 52 +4 55
6 Chelsea 36 55 49 +6 49
7 Aston Villa 37 54 48 +6 62
8 Brighton 36 52 42 +10 53
9 Brentford 36 52 49 +3 51
10 Newcastle 36 50 52 -2 46
11 Leeds 36 48 53 -5 44
12 Everton 36 46 46 0 49
13 Tottenham 36 46 55 -9 38
14 Nottingham Forest 36 45 47 -2 43
15 Fulham 36 44 50 -6 48
16 West Ham 36 42 62 -20 36
17 Crystal Palace 36 38 47 -9 44
18 Sunderland 36 37 46 -9 48
19 Burnley 36 37 73 -36 21
20 Wolves 36 25 66 -41 18
# TEAM MP xG xGC +/- PTS
1 Arsenal 36 61.0 27.5 +33.5 79
2 Manchester City 36 65.8 39.0 +26.8 77
3 Chelsea 36 62.0 48.3 +13.7 49
4 Manchester United 36 58.6 45.9 +12.7 65
5 Liverpool 37 55.7 43.8 +11.9 59
6 Crystal Palace 36 54.9 45.8 +9.1 44
7 Brighton 36 53.8 47.3 +6.5 53
8 Brentford 36 56.1 49.7 +6.4 51
9 Bournemouth 36 59.5 53.2 +6.3 55
10 Newcastle 36 55.2 48.9 +6.3 46
11 Leeds 36 52.1 49.7 +2.4 44
12 Fulham 36 44.7 50.5 -5.8 48
13 Aston Villa 37 44.1 51.5 -7.4 62
14 Nottingham Forest 36 42.7 51.1 -8.4 43
15 Everton 36 44.5 54.1 -9.6 49
16 West Ham 36 41.6 53.5 -11.9 36
17 Tottenham 36 38.1 51.2 -13.1 38
18 Sunderland 36 36.5 51.4 -14.9 48
19 Wolves 36 32.1 55.5 -23.4 18
20 Burnley 36 31.0 71.8 -40.8 21