Hull City vs Queens Park Rangers Prediction — Model Probabilities
The bookmaker priced every market fairly — no dependable value at these odds, so skipping is the disciplined play.
Our call is our best estimate of the outcome; a value flag is a separate, rarer judgement about the price.
Edge (pp): green = we see more probability than the market · gold = essentially even (±0.5pp) · red = we see less. The Decision above outranks any single row: the engine backs well-supported edges, not merely big ones.
Hull City v Queens Park Rangers — Team-Based Signals
Hull City vs Queens Park Rangers Head-to-Head — Last 6 Meetings
2-0
HT 1-0
Hull City
İNCL
3-0
HT 1-0
Queens Park Rangers
İNCL
3-1
HT 3-0
Hull City
İNCL
1-1
HT 0-1
Hull City
İNCL
Hull City 1-2 Queens Park Rangers — Actual Match Statistics
Queens Park Rangers nicked a narrow win over Hull City 2-1 away from home. The game was level at 0-0 at the break, so the decisive goals came after it.
Our pre-match split (39% / 26% / 35%) promised a tight game; Queens Park Rangers found the edge the numbers couldn't. The goals read — under 2.5 goals (58%), no to both teams scoring (55%) — went the other way, though.
On the day, Hull City had 51% of the ball to Queens Park Rangers's 49%, shots finished 12-8, expected goals 1.15 to 1.32.
Coming into the game, across their last 6 meetings in our records, Hull City had the better of it with 3 wins, 1 drawn. Those games averaged 1.83 goals for Hull City and 1.17 for Queens Park Rangers.
What was the final score of Hull City vs Queens Park Rangers?
Hull City 1-2 Queens Park Rangers in the England - Championship on 21/01/2025. The analysis above shows what our model predicted before kick-off next to what actually happened.
What did the model predict for Hull City vs Queens Park Rangers?
Before kick-off our model rated a Hull City win the most likely single outcome at about 39%, with the full match-result split Hull City 39%, draw 26%, Queens Park Rangers 35%. The final score 1-2 went against our main leads this time — single matches are noisy by nature; our accuracy is measured across thousands of predictions, not one result.