Atletico Madrid
Atletico Madrid hosted Celta Vigo in the La Liga, finishing 0-1. Goals: B. Iglesias (62'). OddsFlow deployed 17 trades across 7 waves, achieving 47% precision with a net result of +$1918.27 (ROI: +23.6%).
The Asian Handicap line moved from -0.75 to -0.25; the home moneyline drifted out from 1.79 to 2.14.
### Wave 1 — Minute 0' (Score: 0-0) **Context:** Scoreless at 0'. 1 model (S5.1_Pre) entered Asian Handicap markets, targeting Celta Vigo -0.25. Average expected value was 11.2%, with a combined stake of $261. The sharpest edge was on Celta Vigo -0.25 (Asian Handicap): OddsFlow calculated 53.7% probability versus the market's implied 48.3% — a 5.4 percentage point gap at odds of 2.07. **Result:** All 1 trades won, netting +$279.27. ### Wave 2 — Minute 15' (Score: 0-0) **Context:** Scoreless at 15'. 1 model (oddsflow_core_v8.1) entered Asian Handicap markets, targeting Celta Vigo -0.5. Average expected value was 19.5%, with a combined stake of $200. The sharpest edge was on Celta Vigo -0.5 (Asian Handicap): OddsFlow calculated 62.4% probability versus the market's implied 45.5% — a 16.9 percentage point gap at odds of 2.2. **Result:** All 1 trades won, netting +$240.00. ### Wave 3 — Minute 25' (Score: 0-0) **Context:** Scoreless at 25'. 2 models (system4_MC_v10, system4_BLEND_v10) entered Asian Handicap and Moneyline markets, targeting Celta Vigo -0.5 and Celta Vigo. Average expected value was 14.8%, with a combined stake of $1500. The sharpest edge was on Celta Vigo -0.5 (Asian Handicap): OddsFlow calculated 63.0% probability versus the market's implied 48.2% — a 14.8 percentage point gap at odds of 2.075. **Result:** All 3 trades won, netting +$3075.00. ### Wave 4 — Minute 30' (Score: 0-0) **Context:** Scoreless at 30'. 2 models (system4_MC_v10, system4_HYBRID_v10) entered Moneyline and Asian Handicap markets, targeting Draw and Celta Vigo and Celta Vigo -0.5. Average expected value was 10.6%, with a combined stake of $1500. The sharpest edge was on Celta Vigo -0.5 (Asian Handicap): OddsFlow calculated 63.1% probability versus the market's implied 48.2% — a 14.9 percentage point gap at odds of 2.075. **Result:** 2 of 3 trades won, netting +$2037.50. ### Wave 5 — Minute 40' (Score: 0-0) **Context:** Scoreless at 40'. 1 model (system4_HYBRID_v10) entered Moneyline markets, targeting Draw. Average expected value was 6.3%, with a combined stake of $500. The sharpest edge was on Draw (Moneyline): OddsFlow calculated 38.2% probability versus the market's implied 32.3% — a 5.9 percentage point gap at odds of 3.1. **Result:** All 1 trades lost, netting $-500.00. ### Wave 6 — Minute 62' (Score: 0-0) **Context:** Scoreless at 62'. 3 models (system4_HYBRID_v10, system4_MC_v10, system4_BLEND_v10) entered Asian Handicap and Moneyline markets, targeting Atletico Madrid +0.5 and Draw and Celta Vigo. Average expected value was 17.6%, with a combined stake of $2668. The sharpest edge was on Atletico Madrid +0.5 (Asian Handicap): OddsFlow calculated 75.2% probability versus the market's implied 54.1% — a 21.2 percentage point gap at odds of 1.85. **Result:** 1 of 5 trades won, netting $-1713.50. ### Wave 7 — Minute 68' (Score: 0-1) **Context:** Celta Vigo leading 0-1 at 68'. Celta Vigo made 3 substitutions. 3 models (system4_HYBRID_v10, system4_MC_v10, system4_BLEND_v10) entered Over/Under markets, targeting Over 1.5. Average expected value was 8.0%, with a combined stake of $1500. **Result:** All 3 trades lost, netting $-1500.00.
- **Minute 62'** — Asian Handicap Atletico Madrid +0.5: AI saw 75.2% vs market's 54.1% (21.2pp gap). did not convert, but edge was real. - **Minute 62'** — Asian Handicap Atletico Madrid +0.5: AI saw 74.2% vs market's 54.1% (20.2pp gap). did not convert, but edge was real. - **Minute 62'** — Asian Handicap Atletico Madrid +0.5: AI saw 74.0% vs market's 54.1% (19.9pp gap). did not convert, but edge was real. - **Minute 15'** — Asian Handicap Celta Vigo -0.5: AI saw 62.4% vs market's 45.5% (16.9pp gap). correctly identified. - **Minute 31'** — Asian Handicap Celta Vigo -0.5: AI saw 63.1% vs market's 48.2% (14.9pp gap). correctly identified.
- **system4_MC_v10**: 5 trades, 2W/3L, +$1037.50 (ROI: +41.5%) - **system4_HYBRID_v10**: 5 trades, 2W/3L, +$1024.50 (ROI: +40.8%) - **S5.1_Pre**: 1 trades, 1W/0L, +$279.27 (ROI: +107.0%) - **oddsflow_core_v8.1**: 1 trades, 1W/0L, +$240.00 (ROI: +120.0%) - **system4_BLEND_v10**: 5 trades, 2W/3L, $-663.00 (ROI: -25.0%)
Possession was 57–43 in Atletico Madrid's favor. Atletico Madrid had 20 shots (4 on target) versus Celta Vigo's 3 (1 on target). Expected goals: Atletico Madrid 1.98 — Celta Vigo 0.13. Corners: 10-0.
A highly profitable match for OddsFlow. The AI models identified significant mispricings and converted them efficiently, returning +23.6% ROI. Top performer: system4_MC_v10 at +$1037.50.
The prices bookmakers settled on before kick-off, with the margin removed, next to what actually happened.
| Market | Line | Implied probability |
|---|---|---|
| 1X2 (home / draw / away) | Favourite: Home | 46.7% / 27.3% / 28.7% |
| Asian handicap | -0.25 | 53.8% |
| Over / Under | 2.75 | 52.9% |
Probabilities are de-vigged, so they describe the market's view rather than the price you would have been offered.
Away Win & Under Value
The fixture between Atletico Madrid and Celta Vigo concluded 0-1, a clear away victory. The 1x2 market, with Atletico Madrid priced as the market favorite at 46.73% implied probability (ML model), significantly misjudged the outcome. Celta Vigo's outright win, with only a 28.74% implied probability, represents a substantial EV+ signal for punters who backed the underdog. On the Asian Handicap market, Atletico Madrid was given a -0.25 line with a 53.76% chance to cover. Celta Vigo comfortably covered their +0.25 line by winning outright, indicating a strong **market inefficiency**. Furthermore, the Totals market had an Over/Under line of 2.75, with a slight lean towards the Over (52.91% implied probability). The single goal scored meant the match went **Under** the line, providing another clear value signal against market sentiment. OddsFlow AI identifies this as a prime example of where bookmakers failed to accurately price both the match winner and total goals.
A highly profitable match for OddsFlow. The AI models identified significant mispricings and converted them efficiently, returning +23.6% ROI on 17 trades. Top performer: HDP Sniper at +$1037.50.
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