Al Shabab 1-1 Damac – Result & Analysis

Poisson rates Al Shabab at 46% — the head-to-head data provides partial corroboration, though signals are mixed in this Al Shabab vs Damac encounter.

✍️ Match Preview

Pre-Match Analysis

Al Shabab and Damac meet at Prince Faisal bin Fahd Stadium in Pro League (matchday 3). This fixture gets under way on Friday 25 August 2023 at 20:00 UK time.

Form & Momentum

Al Shabab have collected 1.00 PPG across their last 10 games: 3W 1D 6L. Last five: L L W D L. They are averaging 1.30 goals per game and conceding 1.70 — a modest attacking output that tempers optimism on the Over 2.5 market. 1 clean sheet from 10 outings (10%). Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets.

Al Shabab at home: 5W 2D 3L from their last 10 home games — 1.70 PPG on home soil. At home they are averaging 1.30 goals scored and 1.00 conceded per game. 4 home clean sheets from their last 10 home games (40%) — a solid defensive base on their own ground. Their home PPG of 1.70 is noticeably stronger than their overall 1.00 — Al Shabab are significantly better at home than their overall form suggests.

Damac (all games): 2W 3D 5L across their last 10 — 0.90 points per game. Last five: W D L L D. Their scoring rate of 0.90 per game is modest, conceding 1.80 — not a side to back heavily on the Over 2.5 from their form alone. 2 clean sheets from 10 outings (20%).

On the road, Damac have gone 2W 1D 7L in their last 10 away fixtures (0.70 PPG). Away from home they average 0.80 goals scored and 1.90 conceded per game.

A near-identical PPG reading — 1.00 for Al Shabab, 0.90 for Damac — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

Head-to-Head

Across the 4 H2H matches in our data, Al Shabab have had the better of this match-up — 3 wins, with Damac managing 0 and 1 draw.

The 4 H2H matches in our data have been high-scoring — 3.2 goals per game on average — which backs the Over 2.5 market from the head-to-head side. The most recent of those, on 31 May 2023, ended Al Shabab 4–1 Damac — a Al Shabab win.

From a betting standpoint, the H2H data backs both Al Shabab and goals — 3 wins from 4 H2H matches and an average of 3.2 goals per game give the home win and Over 2.5 combination a head-to-head case.

Trading

Al Shabab half-time and goal-timing data (last 32 games, 16 of them at home): at least one goal arrives before half-time in 81% of their matches in home games; when goalless at HT, a second-half goal follows 67% of the time; they lead at the break 50% of the time; of the 16 games they led at half-time, they failed to win 25%; of the 10 games they trailed at half-time, they recovered to draw or win 40%; BTTS occurs in 31% of their matches (home games); Over 2.5 goals lands in 56% of games (home games).

Damac half-time and goal-timing data (last 32 games, 16 of them away): at least one goal arrives before half-time in 69% of their matches in away games; when goalless at HT, a second-half goal follows 80% of the time; of the 5 games they led at half-time, they failed to win 60%; of the 14 games they trailed at half-time, they recovered to draw or win 43%; BTTS occurs in 50% of their matches (away games); Over 2.5 goals lands in 50% of games (away games).

BTTS rates are mixed from the trading data — Al Shabab 56% versus Damac 53%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Al Shabab 66% | Damac 50%). There is an in-play dynamic worth noting: Al Shabab surrender their half-time lead 25% of the time, while Damac have come from behind at the break to draw or win in 43% of cases — a combination that makes laying the hosts at HT a potential angle. Note also that Damac surrender HT leads in 60% of cases while Al Shabab recover from half-time deficits to draw or win 40% of the time — a dynamic that could influence in-play positioning.

Poisson Model

The Poisson distribution model projects Al Shabab 1.38 xG and Damac 0.99 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Al Shabab attack 1.007 / defence 0.932 | Damac attack 0.754 / defence 1.119. League average goals — home 1.227 / away 1.410. Damac's attack rating of 0.754 is below the league average, which holds their xG down at 0.99. Data: built from Al Shabab's last 32 games and Damac's last 32. Some of those games are older results, so treat these probabilities as directional rather than precise.

Result probabilities: Al Shabab 46% | Draw 27% | Damac 27%. Fair-value odds: Al Shabab 2.18 | Draw 3.66 | Damac 3.72. Al Shabab hold a narrow Poisson edge at 46% — the draw (27%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 42% | BTTS Yes probability 47% | Total xG 2.37. Under 2.5 has a narrow probability edge at 58% — total xG of 2.37 is below the line but not decisively so. BTTS No at 53% is only a slight lean — the model gives both sides a fair chance of scoring, so No isn't a clear standalone call.

Verdict

The Poisson model's primary lean is Al Shabab at 46% — moderate model lean. The head-to-head data (Al Shabab 3 wins from 4 H2H matches) corroborates the Poisson lean — partial multi-source support. Draw probability of 27% warrants consideration of Double Chance or Draw No Bet on Al Shabab if the outright odds are short.

Poisson projects 2.37 total expected goals, pointing to Under 2.5 at 58% probability — low conviction — though the H2H data averaging 3.2 goals per game across 4 H2H matches points the other way.

On the BTTS market, Poisson puts 53% on No. Form rates corroborate — both teams scored in: Al Shabab 40% (last 10 home games) | Damac 40% (last 10 away games).

The Poisson model's sample (Al Shabab 32 games, Damac 32) includes some older results, so its projections carry extra uncertainty — weight recent form and the odds accordingly.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights