Full Time
Premier League · Tottenham Hotspur Stadium, London · 2026-02-10

TottenhamTottenham
1 - 2
NewcastleNewcastle

+$2885.90
Match Precision100%
Signal Hit Rate3/3
Model Lineup
🛡️
Oddsflow Core Strategy
+$2886
★★★★★
3W-0L · 100%
🧠 Key Question

Why did AI enter 2 times at 33', 68' — and still finish +$2886?

Trade Story

Match Overview

Tottenham hosted Newcastle in the Premier League, finishing 1-2. Goals: J. Willock (44'), M. Thiaw (45'), A. Gray (64'), J. Ramsey (68'). OddsFlow deployed 3 trades across 2 waves, achieving 100% precision with a net result of +$2885.90 (ROI: +147.7%).

Pre-Match Odds

The Asian Handicap line moved from 0 to 0.25; the Over/Under line shifted from 2.5 to 2.75; the home moneyline drifted out from 2.8 to 3.45.

Trade Wave Analysis

### Wave 1 — Minute 33' (Score: 0-0) **Context:** Scoreless at 33'. 1 model (oddsflow_core_v8.1) entered Asian Handicap markets, targeting Newcastle +0.25 and Newcastle +0.5. Average expected value was 9.8%, with a combined stake of $400. The sharpest edge was on Newcastle +0.5 (Asian Handicap): OddsFlow calculated 60.6% probability versus the market's implied 50.0% — a 10.6 percentage point gap at odds of 2. **Result:** All 2 trades won, netting +$360.00. ### Wave 2 — Minute 68' (Score: 1-1) **Context:** Level at 1-1 after J. Ramsey's equalizer at 68'. 1 model (oddsflow_core_v8.1) entered Moneyline markets, targeting Newcastle. Average expected value was 20.2%, with a combined stake of $1554. The sharpest edge was on Newcastle (Moneyline): OddsFlow calculated 45.8% probability versus the market's implied 38.1% — a 7.7 percentage point gap at odds of 2.625. **Result:** All 1 trades won, netting +$2525.90.

Key Mispricing Moments

- **Minute 33'** — Asian Handicap Newcastle +0.5: AI saw 60.6% vs market's 50.0% (10.6pp gap). correctly identified.

Model Performance

- **oddsflow_core_v8.1**: 3 trades, 3W/0L, +$2885.90 (ROI: +147.7%)

Match Statistics

Possession was 52%–48% in Tottenham's favor. Tottenham had 16 shots (2 on target) versus Newcastle's 21 (5 on target). Expected goals: Tottenham 1.76 — Newcastle 2.5. Corners: 2-12.

🏆

Verdict

A highly profitable match for OddsFlow. The AI models identified significant mispricings and converted them efficiently, returning +147.7% ROI.

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: Away29.0% / 27.2% / 46.7%
Asian handicap+0.2553.5%
Over / Under2.7554.6%

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

Slight undervaluation of Newcastle's outright win in the 1x2 market.

In the Premier League clash between Tottenham and Newcastle (1-2), Newcastle secured a pivotal away victory. The 1x2 market closing lines, as per our model, had Newcastle as slight favorites with a 46.73% implied win probability. Despite this favoritism, the actual outcome suggests a marginal undervaluation of Newcastle's outright win, indicating a potential EV+ opportunity for sharp bettors. On the Asian Handicap of -0.25, Newcastle successfully covered with a 53.48% probability, aligning with market expectations. The Totals market saw 3 goals scored, hitting the Over 2.75 line which had a 54.64% implied probability, reflecting an efficient pricing for goals. While the market generally leaned towards the correct outcomes, the slight mispricing in the 1x2 market presented a subtle value signal.

Trade Waves
Match Timeline
35'🔄
O
W. Odobert(assist: M. Tel)Tottenham
46'🔄
B
Y. Bissouma(assist: J. Palhinha)Tottenham
70'🔄
G
C. Gallagher(assist: R. Kolo Muani)Tottenham
75'🔄
E
A. Elanga(assist: J. Murphy)Newcastle
75'🔄
R
J. Ramsey(assist: S. Tonali)Newcastle
88'🔄
G
A. Gordon(assist: W. Osula)Newcastle
88'🔄
W
J. Willock(assist: N. Woltemade)Newcastle
90'+1🔄
G
Bruno Guimaraes(assist: L. Hall)Newcastle
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 +147.7% ROI on 3 trades.

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