QKQuantKick
HomeAnalystsPredictionsPricing
LoginRegisterZH

QuantKick

1X2 + Asian handicap + totals, powered by QuantKick models

Predictions

Daily PicksPredictionsHit & Win

Progress

ProgressMethodHome

Predictions are for reference only. Bet responsibly.

© 2026 QuantKick

HomeAnalystsPredictionsMy Account
← Predictions

Premier League

BurnleyBurnleyvsBournemouthBournemouth

UTC+8 2026-03-14 23:00

Final Result: 0-0 (D)

Confidence 63
Predicted Result: AwayActual Result: DrawBlack (Miss)

Team Fundamentals

Status

Match Finished

90'

Venue

Turf Moor · Burnley

Premier League · 2025

BurnleyBurnley

Standings

#19

Samples 31

Season Record

4-8-19

Home/Away 33/61

Recent Form

LDLLD

Recent Matches

-

Injuries

No published injury data

BournemouthBournemouth

Standings

#13

Samples 31

Season Record

9-15-7

Home/Away 46/48

Recent Form

DDDDD

Recent Matches

-

Injuries

No published injury data

Probabilities

Home21.1%
Draw24.2%
Away54.8%

Value Betting

Home

4.33

EV -8.82%

Draw

3.90

EV -5.73%

Away

1.75

EV -4.15%

Recommended: btts · yes · EV +58.62%

Asian Handicap

Line: 0.00 ·Home 1.80 ·Away 2.00

Home: 25.6%
Push: 8.0%
Away: 66.5%
EV Home: -46.01%
EV Away: +40.90%

AH +0: push possible on exact handicap margin.

Over / Under

Line 1.5 · O1.5

Over: 60.2% (1.83) · EV +10.15%

Under: 39.8% (1.83) · EV -27.15%

Confidence: 6.2/10

Line 2.5 · U2.5

Over: 33.1% (3.75) · EV +24.24%

Under: 66.9% (1.25) · EV -16.41%

Confidence: 6.5/10

Model Reasons

主概率55%;优势差31%;与市场主方向一致

Market Signal

历史回测

Updated: 2026-03-17 18:13

AI Deep Analysis

Burnley vs Bournemouth: Premier League Preview - Data-Driven Analysis and Betting Opportunities

Burnley welcomes Bournemouth to Turf Moor in a Premier League clash where our statistical model heavily favors an away victory. While the market odds reflect this sentiment, our analysis identifies a potentially more valuable betting opportunity outside the standard 1X2 market.

Our model gives Bournemouth a 54.8% chance of winning, significantly higher than Burnley's 21.1% win probability and the 24.2% chance of a draw. This substantial advantage is a key factor driving our overall prediction. The model's confidence in this result is rated "HIGH" with a score of 62.924, suggesting a strong degree of certainty in the predicted outcome. This confidence stems from Bournemouth's significant probability advantage of 31% over Burnley. The model also highlights that its prediction aligns with the general market trend, lending further weight to the away win expectation.

However, even though the model points to a Bournemouth win, the expected value (EV) analysis of the 1X2 market reveals negative values across all three outcomes. The best EV within this market, albeit still negative, is for an away win at -4.152. This indicates that the current odds of 1.75 for a Bournemouth win, while reflective of their higher probability, don't offer sufficient value to justify a straight bet, from a strict EV perspective.

Delving deeper, our analysis pinpoints a more compelling betting opportunity: Both Teams To Score (BTTS). The model recommends a "Yes" selection in the BTTS market, offering a substantial expected value of 58.616. This recommendation is based on historical backtesting data, suggesting a strong track record for this type of bet in similar match scenarios. While the specifics of the historical data are not provided, this "Market Signal" from the model constitutes a key factor for the BTTS recommendation.

Considering Burnley's home advantage and the possibility of a consolation goal, coupled with Bournemouth's attacking prowess, a BTTS bet strategically exploits the potential for goals at both ends. While Bournemouth are favored to win, Burnley are still likely to find the net. This makes the BTTS market an attractive option despite the negative EV in the 1X2 market.

Therefore, while the model strongly indicates a Bournemouth victory, the current market odds don't offer significant value. Instead, the recommended strategy is to consider a Both Teams To Score (Yes) bet, leveraging the model's positive expected value driven by historical backtesting data. Responsible staking is advised.

Updated: 2026-04-05 22:59