Statistics / Football / England. Premier League / Fulham vs Newcastle

Fulham vs Newcastle Statistics & Analysis

Fulham Fulham
May 24, 2026 - 15:00
2 1.57
0 1.50
xG Accuracy: 59%
Newcastle Newcastle
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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 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Fulham Fulham ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-2, 1-0, 0-1 2-0 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Premier League
  • Fixture: Fulham vs Newcastle
  • Kickoff: 2026-05-24 15:00:00
  • 1X2 (model): Home 38.1% · Draw 26.8% · Away 35.1%
  • xG (showing): Fulham 1.57 — Newcastle 1.5 (total xG ≈ 3.07)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 40.8% · Implied: 38.3% · Probability edge: +2.5 pts · Est. EV: +5.7%
  • BTTS (model): Yes 62.9% · No 37.0%
  • Correct score (top bin): 1-1 (10.9%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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

Best Bet + Reason

Top tracked +EV leg right now (hero card, non-primary grading): 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.

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

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.

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

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.

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.

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.

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Back to Statistics
Premier League Premier League — Standings
# 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
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