Saturday, 12/09/2026 at 16:00
Full timeChelsea 2:2 Hull City
Chelsea were the model's likeliest winner before kick-off at 57%. It finished 2–2. The biggest difference was Chelsea's attack: 0.91 xG against 1.85 projected (−0.94). Hull City produced 1.38 xG against 0.99 projected (+0.39).
Goals
- 7' Morgan Rogers Chelsea · 0.11 xG chance 1–0
- 28' Mohamed Belloumi Hull City · 0.15 xG chance 1–1
- 34' Mohamed Belloumi Hull City · 0.07 xG chance 1–2
- 66' João Pedro Chelsea · 0.27 xG chance 2–2
The model against the result
- Chelsea
- 57%
- Draw
- 26% What happened
- Hull City
- 17%
Data coverage One of these teams has only 3 matches in the model window, short of the 10 the model wants. Read the projection as a direction rather than as a number.
Projected vs produced
Chelsea produced 0.94 xG less than projected
Projected before kick-off Produced on the night
The shots behind it
- Shots
- 12
- 13
- On target
- 7
- 5
- Inside the box
- 6
- 9
- xG per shot
- 0.07
- 0.12
- Open play xG
- 0.70
- 1.33
- Set-piece xG
- 0.17
- 0.25
- Penalties
- —
- —
Chelsea's shots add up to 0.87 xG and Hull City's to 1.58; the published figures are 0.91 and 1.38.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
25 shots · 2.45 xG
Hover, focus or tap a shot to read it.
- Chelsea
- Hull City
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
1.27 xG created 1.42 xGA
- D 0.50 created, 0.56 conceded against Liverpool
- W 0.63 created, 1.27 conceded against Tottenham Hotspur
- L 0.89 created, 1.84 conceded against Sunderland
- W 2.24 created, 1.33 conceded against Fulham
- W 2.97 created, 1.49 conceded against Brighton & Hove Albion
- L 0.39 created, 2.05 conceded against Arsenal
xG created xG conceded (xGA) W / D / L: the match result
Pre-match model & market record
9 opportunities flagged4 won5 lost
- Lost
- Lost
- Won
- Lost
- Won
- Lost
- Lost
- Won
- Won
View pre-match record Hide pre-match record
| Selection | Price | Edge | Result |
|---|---|---|---|
| Hull City to win | 11.00 | +87.7% | Lost |
| Chelsea not to score | 13.00 | +74.9% | Lost |
| Draw | 6.50 | +69.7% | Won |
| Chelsea at most 1 goal | 3.75 | +60.6% | Lost |
| Hull City 2+ goals | 5.50 | +43.6% | Won |
| Under 2.5 goals | 3.20 | +41.9% | Lost |
| Under 1.5 goals | 6.50 | +20.1% | Lost |
| Hull City to score | 1.80 | +18.4% | Won |
| Both teams to score | 1.91 | +11.5% | Won |
Pre-match model vs market
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Chelsea | 56.8% | 77.0% | −20.1 pp | 1.76 |
| Draw | 26.1% | 14.5% | +11.6 pp | 3.83 |
| Hull City | 17.1% | 8.6% | +8.5 pp | 5.86 |
Other markets
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Chelsea to score | 86.6% | 92.6% | −6.0 pp | 1.16 |
| Chelsea not to score | 13.5% | 7.4% | +6.0 pp | 7.43 |
| Hull City to score | 65.8% | 51.5% | +14.3 pp | 1.52 |
| Hull City not to score | 34.2% | 48.5% | −14.3 pp | 2.92 |
| Both teams to score | 58.4% | 50.0% | +8.4 pp | 1.71 |
| Both teams not to score | 41.6% | 50.0% | −8.4 pp | 2.41 |
| Chelsea 2+ goals | 57.2% | 75.0% | −17.8 pp | 1.75 |
| Chelsea at most 1 goal | 42.8% | 25.0% | +17.8 pp | 2.34 |
| Hull City 2+ goals | 26.1% | 17.2% | +8.9 pp | 3.83 |
| Hull City at most 1 goal | 73.9% | 82.8% | −8.9 pp | 1.35 |
| Over 1.5 goals | 81.5% | 85.4% | −3.9 pp | 1.23 |
| Under 1.5 goals | 18.5% | 14.6% | +3.9 pp | 5.41 |
| Over 2.5 goals | 55.6% | 70.1% | −14.5 pp | 1.80 |
| Under 2.5 goals | 44.4% | 29.9% | +14.5 pp | 2.25 |
Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.
Model details
· 1 warningShow Hide
- Fit window
- the last 20 matches, recency weighted (a match 107 days old counts half)
- Chelsea sample
- 20 matches
- Hull City sample
- 3 matches
- Computed
- 1 hour before kick-off
- Prices taken
- 1 hour before kick-off
Warnings
- Hull City has only 3 matches in the database. Below 10 matches the estimate is very unreliable.
Limitations
The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.