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Newcastle United v Hull — Prediction, Odds & Stats

Saturday 19 September 2026 · ENG-Premier League · 2627

Premier League xG Prediction generated

AI prediction

ai-blend v1.0 daily
Newcastle United win
52.9%
Draw
23.8%
Hull win
23.3%

Raw model output; no calibration record for this fixture's bands yet.

Top 5 scorelines

  1. 1-1 11.3%
  2. 1-0 10.6%
  3. 2-1 9.7%
  4. 2-0 9.2%
  5. 0-1 6.5%

Goals

Over 2.552.7% Under 2.547.3%
BTTS yes53.7% BTTS no46.3%
Newcastle United 1+82.2% Newcastle United 2+51.4%
Hull 1+65.4% Hull 2+28.7%

Expected goals 1.73 – 1.06. Every market above is read off one scoreline distribution.

Footing

AI confidence
80/100
Data quality
65/100
Model agreement
99%
★ Best pick
Nothing on a measured band prices above 1.18 here.
★ Most likely to land
Nothing on a measured band prices above 1.18 here.

Positive factors

  • Newcastle United carry the stronger rating, 1624 Elo against 1548.
  • Newcastle United have created 1.43 xG a match over their last five while Hull have allowed 1.48.
  • At home Newcastle United average 1.85 xG a match.

Risk factors

  • Hull have only 2 matches on record.
Why the model thinks this

The price

Newcastle United have an estimated 52.9% win probability, against 23.8% for the draw and 23.3% for Hull. Expected goals from the ensemble are 1.73 for Newcastle United and 1.06 for Hull.

Why Newcastle United

Newcastle United carry the stronger rating, 1624 Elo against 1548. Newcastle United have created 1.43 xG a match over their last five while Hull have allowed 1.48. At home Newcastle United average 1.85 xG a match.

Why the draw is live

The draw sits at 23.8%. Draws run at 25% in this competition.

Why Hull can win

Hull have created 0.98 xG a match over their last five while Newcastle United have allowed 1.91. Form is good: 3.00 points a match from the last five. Away from home Hull average 0.46 xG a match. They have had 21 days' rest to Newcastle United's 14. Their last eleven was closer to full strength: Newcastle United were missing 0.72 expected goal involvements a match against 0.17.

Key players

Newcastle United's leading contributors by expected goal involvements a match: Bruno Guimarães (0.32), Nick Woltemade (0.30), Harvey Barnes (0.23). Hull's leading contributors by expected goal involvements a match: Oliver McBurnie (0.37), Regan Slater (0.20), Mohamed Belloumi (0.18).

Availability

2 of Newcastle United's top three contributors did not start their last match. 27% of Newcastle United's last eleven are new to the club this window.

The matchup, as far as the data reaches

Newcastle United: 50% possession, 11.0 shots a match, 19.4 faced, 0.20 xG a match from set pieces. Hull: 30% possession, 7.0 shots a match, 16.0 faced, 0.98 xG a match from set pieces.

Inputs last refreshed: matches 2026-09-06 07:42 · team_stats 2026-09-06 06:08 · availability 2026-09-06 07:53 · prediction 2026-09-05 18:39 ·

Newcastle United are the model's most likely outcome at 52.9%. The likeliest scoreline is 1-1 at 11.3%. Confidence 80/100, data quality 65/100. These are probabilities, not certainties: the less likely outcome happens as often as its number says.

Written from the numbers the model saw, not by a language model; nothing here is a statistic the snapshot does not hold. How predictions work.

Was this pick made in advance?
A model whose name ends -oos is out of sample: it was fitted only on matches played before this one, so its pick is a genuine forecast rather than hindsight. Anything without that suffix was fitted on all available data.

What the chances say

Newcastle United are conceding sharply fewer than expected — 5.1 goals saved beyond what the chances suggest.

LLLWDWLDWD last 10 scored 15 from 14.3 xG conceded 14 from 19.1 xG

Finishing swings far more than chance creation, so a gap this size usually narrows. Over ten matches it is suggestive, not settled — a genuinely elite finisher beats expected goals for years.

What the model said

ModelHome / Draw / Away Expected goalsLikeliest score O2.5BTTS
ai-blend 1.73–1.06 0% 0% 0%
dc-goals 0.85–1.18 1-1 14% 33% 41%
dc-xg 1.69–1.05 1-1 11% 52% 53%

A model whose name ends -oos was produced by the walk-forward backtest: it was fitted only on matches played before this one, so the pick is genuinely out of sample.

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Match

What this page is for

One fixture in full. The model's probability for every market it prices, the prices stored against them, the teams expected to feature, and for a match already played, the shot map and the xG timeline.

How to read the shot map

Every shot is placed where it was taken and sized by its chance of being scored. A cluster of small marks from distance and a clean sheet is a side that was busy without ever threatening; two big marks and a defeat is a side that had the better of it and lost anyway. Both happen constantly, and both are invisible in the score.

How to read the xG timeline

The steps are chances as they arrived, so the shape shows who was on top and when. A flat line that jumps once near the end is a smash and grab.

Things to watch

The stored prediction is the one made before the match, kept deliberately so it can be judged afterwards. It is not re-fitted with hindsight.

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