Full Time
Premier League · Turf Moor, Burnley · 2026-05-24

BurnleyBurnley
1 - 1
WolvesWolves

+$124.15
Match Precision100%
Signal Hit Rate2/2
Model Lineup
🛡️
Oddsflow Core Strategy
+$114
★★★★★
1W-0L · 100%
PreMatch Edge
+$10
★★★★★
1W-0L · 100%
🧠 Key Question

Why did AI enter 2 times at 0', 10' — and still finish +$124?

Trade Story

Match Overview

Burnley hosted Wolves in the Premier League, finishing 1-1. Goals: A. Armstrong (5' pen), Z. Flemming (47'). OddsFlow deployed 2 trades across 2 waves, achieving 100% precision with a net result of +$124.15 (ROI: +107.0%).

Pre-Match Odds

The Asian Handicap held at 0 but home odds shifted from 1.89 to 1.83.

Trade Wave Analysis

### Wave 1 — Minute 0' (Score: 0-0) **Context:** Scoreless at 0'. 1 model (S5.1_Pre) entered Over/Under markets, targeting Under 2.5. Average expected value was 9.8%, with a combined stake of $10. **Result:** All 1 trades won, netting +$10.20. ### Wave 2 — Minute 10' (Score: 0-1) **Context:** Wolves leading 0-1 at 10'. A. Armstrong scored moments ago. 1 model (oddsflow_core_v8.1) entered Asian Handicap markets, targeting Burnley +0.5. Average expected value was 30.3%, with a combined stake of $106. The sharpest edge was on Burnley +0.5 (Asian Handicap): OddsFlow calculated 75.7% probability versus the market's implied 48.2% — a 27.5 percentage point gap at odds of 2.075. **Result:** All 1 trades won, netting +$113.95.

Key Mispricing Moments

- **Minute 10'** — Asian Handicap Burnley +0.5: AI saw 75.7% vs market's 48.2% (27.5pp gap). correctly identified.

Model Performance

- **oddsflow_core_v8.1**: 1 trades, 1W/0L, +$113.95 (ROI: +107.5%) - **S5.1_Pre**: 1 trades, 1W/0L, +$10.20 (ROI: +102.0%)

Match Statistics

Possession was 70–30 in Burnley's favor. Burnley had 16 shots (8 on target) versus Wolves's 16 (4 on target). Expected goals: Burnley 1.27 — Wolves 1.91. Corners: 7-7.

🏆

Verdict

A highly profitable match for OddsFlow. The AI models identified significant mispricings and converted them efficiently, returning +107.0% ROI. Top performer: oddsflow_core_v8.1 at +$113.95.

Market Efficiency

What the closing market expected

The prices bookmakers settled on before kick-off, with the margin removed, next to what actually happened.

MarketLineImplied probability
1X2 (home / draw / away)Favourite: Home39.4% / 29.1% / 34.7%
Asian handicap054.6%
Over / Under2.553.5%

Probabilities are de-vigged, so they describe the market's view rather than the price you would have been offered.

Where the market was wrong

Market overestimated Over 2.5 goals.

The Premier League clash between Burnley and Wolves concluded in a 1-1 draw. The 1x2 market priced Burnley as slight favorites at 39.37% implied probability for a win, with a draw at 29.15% and Wolves at 34.72%. The actual outcome was a draw, indicating the market slightly undervalued this possibility. With an Asian Handicap line of 0, the market expected Burnley to win (54.64% probability to cover) over Wolves (47.85%). The draw meant neither team covered the spread, representing a missed expectation for Burnley backers. The most significant market inefficiency emerged in the Totals market (O/U 2.5). Bookmakers heavily leaned towards the Over 2.5 goals with a 53.48% implied probability, compared to 49.5% for the Under. The match ended with a total of 2 goals, resulting in the Under 2.5 hitting. This highlights a clear Closing Line Value (CLV) opportunity on the Under. The market significantly overestimated the likelihood of Over 2.5 goals.

Trade Waves
Match Timeline
66'🔄
K
L. Krejci(assist: Toti)Wolves
66'🔄
M
H. Mejbri(assist: Z. Amdouni)Burnley
66'🔄
G
A. Gomes(assist: T. Arokodare)Wolves
74'🔄
A
A. Armstrong(assist: J. Abbey)Wolves
74'🔄
W
D. M. Wolfe(assist: H. Bueno)Wolves
75'🔄
T
L. Tchaouna(assist: M. Edwards)Burnley
75'🔄
U
L. Ugochukwu(assist: J. Ward-Prowse)Burnley
82'🔄
G
R. Gomes(assist: Pedro Lima)Wolves
84'🔄
A
J. Anthony(assist: J. Bruun Larsen)Burnley
84'🔄
F
Z. Flemming(assist: A. Barnes)Burnley
Odds Movement
Key Mispricing
Match Statistics
Pre-Match Odds
Verdict

A highly profitable match for OddsFlow. The AI models identified significant mispricings and converted them efficiently, returning +107.0% ROI on 2 trades. Top performer: Oddsflow Core Strategy at +$113.95.

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