Al-Hazm vs Al-Fayha – Pre-Match Analysis

Poisson model rates Al-Hazm at 45%, yet other data sources diverge — this Al-Hazm vs Al-Fayha fixture contains genuine analytical tension.

✍️ Match Preview

Analysis & Preview

A Pro League encounter, Regular Season - 11 sees Al-Fayha travel to Al-Hazem Club Stadium to take on Al-Hazm. The game is scheduled for Thursday 22 October 2026, 17:00 UTC.

Recent Form

Across all Pro League games this season, Al-Hazm have gone 5W 2D 3L from 10 outings — a 1.70 PPG return. Last five: L D L W W. They are averaging 1.30 goals per game and conceding 1.20 — a modest attacking output that tempers optimism on the Over 2.5 market. 2 clean sheets from 10 outings provides some defensive foundation. Al-Hazm have played only a handful of Pro League games so far this season, so this record also draws on matches from last season.

At home at Al-Hazem Club Stadium, Al-Hazm have gone 7W 1D 2L this season (10 games, 2.20 PPG). At home they are averaging 1.60 goals scored and 1.30 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture. Their home PPG of 2.20 is noticeably stronger than their overall 1.70 — Al-Hazm are significantly better at Al-Hazem Club Stadium than their overall form suggests.

Al-Fayha — All Games: 3W 2D 5L from 10 Pro League fixtures this season — 1.10 PPG. Last five: D W L L L. Their scoring rate of 1.30 per game is modest, conceding 1.30 — not a side to back heavily on the Over 2.5 from their form alone. 2 clean sheets from 10 outings suggests some defensive organisation. Al-Fayha haven't played a Pro League game yet this season, so this record is entirely from last season.

Al-Fayha's form when playing away from home: 2W 1D 7L across 10 road games this term (0.70 PPG). Away from home they average 1.10 goals scored and 2.10 conceded per game.

Al-Hazm are in the better shape of the two on current Pro League data — 0.60 PPG ahead (1.70 vs 1.10). That form margin is the baseline of a sensible selection even before other signals are layered in.

H2H Record

There is little to separate the sides historically. From 6 previous meetings, Al-Hazm have won 2, Al-Fayha 2, with 2 draws — a balanced ledger that offers no obvious directional steer on its own.

The 6 previous meetings have averaged 1.8 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 11 Apr 2026, ended 2–0 with Al-Hazm winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

In-Play Data

Al-Hazm trading profile (34 games, 17 at home): they score before half-time in 53% of fixtures in home games; when goalless at HT, a second-half goal follows 85% of the time; two or more arrive in the second half on 69% of those occasions; BTTS occurs in 59% of their matches (home games); Over 2.5 goals lands in 65% of games (home games); they fail to score in 35% of games.

Al-Fayha trading profile (34 games, 17 at away): they score before half-time in 82% of fixtures in away games; when goalless at HT, a second-half goal follows 71% of the time; two or more arrive in the second half on 57% of those occasions; BTTS occurs in 53% of their matches (away games); Over 2.5 goals lands in 65% of games (away games); they fail to score in 32% of games.

BTTS rates are mixed from the trading data — Al-Hazm 59% versus Al-Fayha 53%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Al-Hazm 62% | Al-Fayha 53%).

Poisson Model

The Poisson distribution model projects Al-Hazm 1.64 xG and Al-Fayha 1.29 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-Hazm attack 1.012 / defence 1.011 | Al-Fayha attack 0.912 / defence 1.095. League average goals — home 1.476 / away 1.400. Data: 35 Al-Hazm games / 34 Al-Fayha games used (PrevSeason). Note: current-season sample is too small — prior-season data is carrying the calculation. Model confidence is reduced; treat probabilities as directional rather than precise.

Result probabilities: Al-Hazm 45% | Draw 24% | Al-Fayha 30%. Fair-value odds: Al-Hazm 2.22 | Draw 4.17 | Al-Fayha 3.33. Al-Hazm hold a narrow Poisson edge at 45% — the draw (24%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 56% | BTTS probability 58% | Total xG 2.93. Over 2.5 holds a meaningful probability edge at 56% — the 2.93 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS probability of 58% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Analysis Verdict

On the Poisson output, Al-Hazm are the pick at 45% — moderate model lean. Current-season form corroborates the Poisson lean — partial multi-source support. With a 24% draw probability, Draw No Bet on Al-Hazm offers a more defensible entry point than the straight win. The opposing side holds a 30% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.93 xG in total — Over 2.5 at 56% — marginal — conflicting signals confidence, supported by form averaging 3.0 goals per game — though H2H averaging only 1.8 goals per meeting points in the other direction.

On the BTTS market, Poisson puts 58% on Yes. Form rates are neutral: Al-Hazm 60% | Al-Fayha 40%.

The outsider holds a 30% 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. The Poisson model is drawing on PrevSeason data (34 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

🔮 Your Prediction

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

💡 Key Insights