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Hull v Tottenham Hotspur — Prediction, Odds & Stats

Saturday 12 December 2026 · ENG-Premier League · 2627

Premier League xG Prediction generated

AI prediction

ai-blend v1.0 daily
Hull win
38.7%
Draw
27.0%
Tottenham Hotspur win
34.3%

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

Top 5 scorelines

  1. 1-1 12.8%
  2. 1-0 10.7%
  3. 0-1 9.9%
  4. 0-0 8.3%
  5. 2-1 8.3%

Goals

Over 2.545.4% Under 2.554.6%
BTTS yes50.6% BTTS no49.4%
Hull 1+72.5% Hull 2+37.0%
Tottenham Hotspur 1+69.9% Tottenham Hotspur 2+33.7%

Expected goals 1.29 – 1.20. Every market above is read off one scoreline distribution.

Footing

AI confidence
79/100
Data quality
70/100
Model agreement
94%
★ 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

  • Hull have created 1.06 xG a match over their last five while Tottenham Hotspur have allowed 1.44.
  • At home Hull average 1.28 xG a match.
  • Their last eleven was closer to full strength: Tottenham Hotspur were missing 0.91 expected goal involvements a match against 0.33.

Risk factors

  • Hull have only 7 matches on record.
Why the model thinks this

The price

Hull have an estimated 38.7% win probability, against 34.3% for Tottenham Hotspur and 27.0% for the draw. Expected goals from the ensemble are 1.29 for Hull and 1.20 for Tottenham Hotspur.

Why Hull

Hull have created 1.06 xG a match over their last five while Tottenham Hotspur have allowed 1.44. At home Hull average 1.28 xG a match. Their last eleven was closer to full strength: Tottenham Hotspur were missing 0.91 expected goal involvements a match against 0.33.

Why the draw is live

The draw sits at 27.0%. The sides are closely matched on expected goals, 1.29 to 1.20. Draws run at 25% in this competition.

Why Tottenham Hotspur can win

Tottenham Hotspur have created 1.39 xG a match over their last five while Hull have allowed 1.75. Away from home Tottenham Hotspur average 1.51 xG a match.

Key players

Hull's leading contributors by expected goal involvements a match: Oliver McBurnie (0.35), Mohamed Belloumi (0.20), Sorba Thomas (0.19). Tottenham Hotspur's leading contributors by expected goal involvements a match: Richarlison (0.37), Dominic Solanke (0.31), Sávio (0.31).

Availability

2 of Tottenham Hotspur's top three contributors did not start their last match. 45% of Tottenham Hotspur's last eleven are new to the club this window.

The matchup, as far as the data reaches

Hull: 32% possession, 11.8 shots a match, 14.0 faced, 0.18 xG a match from set pieces. Tottenham Hotspur: 60% possession, 14.8 shots a match, 12.6 faced, 0.42 xG a match from set pieces.

Inputs last refreshed: matches 2026-10-23 14:52 · team_stats 2026-10-20 06:04 · availability 2026-10-23 14:58 · prediction 2026-09-18 10:37 ·

Hull are the model's most likely outcome at 38.7%. The likeliest scoreline is 1-1 at 12.8%. Confidence 79/100, data quality 70/100. 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.

Live TV

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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

Hull are conceding sharply fewer than expected — 5.3 goals saved beyond what the chances suggest.

WWDDLDL last 7 scored 8 from 7.4 xG conceded 7 from 12.3 xG

Tottenham Hotspur are finishing sharply below their chances — 4.9 goals fewer than expected across 10 matches, despite creating the openings.

DLWLLDDLDW last 10 scored 9 from 13.9 xG conceded 13 from 14.4 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 1.29–1.20 0% 0% 0%
dc-goals 1.74–0.50 1-0 18% 39% 33%
dc-xg 1.23–1.36 1-1 13% 48% 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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On this page

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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