Al Shabab vs Al-Fayha – Pre-Match Analysis

Poisson rates Al Shabab at 36% — the H2H record provides partial corroboration, though signals are mixed in this Al Shabab vs Al-Fayha encounter.

✍️ Match Preview

Full Analysis

Al-Shabab Club Stadium plays host to Al Shabab versus Al-Fayha in Pro League, Regular Season - 7. Kick-off: Saturday 12 September 2026 at 18:00 UTC.

Form & Momentum

Al Shabab have collected 0.60 PPG across 10 Pro League outings this season: 1W 3D 6L. Last five: L D D D L. They are averaging 1.20 goals per game and conceding 2.30 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.30 goals conceded per game is a concern — opposing attacks have exploited them regularly. 1 clean sheet from 10 outings provides some defensive foundation. Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets. Al Shabab have played only a handful of Pro League games so far this season, so this record also draws on matches from last season.

In front of their own supporters this season, Al Shabab have posted 3W 2D 5L at Al-Shabab Club Stadium — 1.10 PPG. At home they are averaging 1.90 goals scored and 2.60 conceded per game. Both teams have scored in 80% of their home games — an outstanding BTTS rate that is a key data point for this fixture. Their home PPG of 1.10 is noticeably stronger than their overall 0.60 — Al Shabab are significantly better at Al-Shabab Club Stadium than their overall form suggests.

Al-Fayha (all games): 2W 3D 5L across 10 Pro League outings this term — 0.90 points per game. Last five: L L D W D. Their scoring rate of 1.20 per game is modest, conceding 1.80 — not a side to back heavily on the Over 2.5 from their form alone. 1 clean sheet from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. Al-Fayha have played only a handful of Pro League games so far this season, so this record also draws on matches from last season.

When travelling in Pro League this season, Al-Fayha have posted 2W 2D 6L from 10 away outings — 0.80 PPG. Away from home they average 1.10 goals scored and 1.40 conceded per game.

A near-identical PPG reading — 0.60 for Al Shabab, 0.90 for Al-Fayha — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

H2H Analysis

Historically, Al Shabab have had the better of this match-up — 8 wins from 10 meetings, with Al-Fayha managing just 1 victories and 1 draws shared.

The 10 previous meetings have averaged 2.6 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 1 Feb 2026, ended 1–0 with Al Shabab winning.

The historical record gives Al Shabab a meaningful edge here — 8 wins from 10 meetings is the kind of ledger that should not be discounted when the form picture is inconclusive. Even away from home, the visitors have struggled to impose themselves in this fixture.

Trading

Al Shabab half-time and goal-timing data (39 games, 19 at home): they score before half-time in 74% of fixtures in home games; when goalless at HT, a second-half goal follows 67% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 74% of their matches (home games); Over 2.5 goals lands in 58% of games (home games); Over 3.5 in 38%.

Al-Fayha half-time and goal-timing data (39 games, 19 at away): they score before half-time in 79% of fixtures in away games; when goalless at HT, a second-half goal follows 62% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 53% of their matches (away games); Over 2.5 goals lands in 63% of games (away games); they fail to score in 33% of games.

BTTS rates are mixed from the trading data — Al Shabab 62% versus Al-Fayha 54%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Al Shabab 44% | Al-Fayha 56%).

Poisson Model

The Poisson distribution model projects Al Shabab 1.48 xG and Al-Fayha 1.47 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 1.043 / defence 1.345 | Al-Fayha attack 0.833 / defence 1.018. League average goals — home 1.397 / away 1.309. Data: 39 Al Shabab games / 39 Al-Fayha games used (CurrentSeason).

Result probabilities: Al Shabab 36% | Draw 29% | Al-Fayha 35%. Fair-value odds: Al Shabab 2.78 | Draw 3.45 | Al-Fayha 2.86. This is a low-confidence result — no outcome exceeds 45%. The draw at 29% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 57% | BTTS probability 62% | Total xG 2.95. Over 2.5 holds a meaningful probability edge at 57% — the 2.95 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 62% reflects that both xG figures (1.48 / 1.47) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Verdict

The Poisson model's primary lean is Al Shabab at 36% — marginal model lean. Draw probability of 29% warrants consideration of Double Chance or Draw No Bet on Al Shabab if the outright odds are short. The opposing side holds a 35% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 2.95 total expected goals, pointing to Over 2.5 at 57% probability — reasonable conviction, supported by form averaging 3.5 goals per game.

On the BTTS market, Poisson puts 62% on Yes. Form rates corroborate: Al Shabab 80% | Al-Fayha 40% BTTS from recent games.

The outsider holds a 35% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

🔮 Your Prediction

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

💡 Key Insights