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Poisson rates Al Khaleej Saihat at 43% — the H2H record provides partial corroboration, though signals are mixed in this Al-Raed vs Al Khaleej Saihat encounter.

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Match Analysis

Al-Raed host Al Khaleej Saihat at Al Raid Club Stadium in Pro League, Regular Season - 26. Kick-off is scheduled for Sunday 6 April 2025 at 17:00 UTC.

Form Guide

Al-Raed — All Games: 1W 1D 8L from 10 Pro League outings this season, averaging 0.40 points per game. Last five: W L D L L. They are averaging 0.90 goals per game and conceding 2.00 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.00 goals conceded per game is a concern — opposing attacks have exploited them regularly. Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets. This season is still relatively young for Al-Raed, so this record blends games from this season and last.

Al-Raed at Al Raid Club Stadium this season: 2W 2D 6L from 10 home games — 0.80 PPG on home soil. At home they are averaging 1.00 goals scored and 1.60 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture.

Across all Pro League games this season, Al Khaleej Saihat have recorded 1W 4D 5L from 10 outings — 0.70 PPG. Last five: D D L D L. 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. 1 clean sheet from 10 outings suggests some defensive organisation. Both teams have scored in 70% of their games — a noteworthy BTTS rate that supports the Yes market. This season is still relatively young for Al Khaleej Saihat, so this record blends games from this season and last.

On the road, Al Khaleej Saihat have gone 3W 3D 4L from 10 away fixtures this term (1.20 PPG). Away from home they average 1.40 goals scored and 1.90 conceded per game. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture. Their away PPG of 1.20 exceeds their overall 0.70 — they actually perform better on the road than their aggregate form implies.

There is minimal separation in the form figures — Al-Raed at 0.40 PPG versus Al Khaleej Saihat's 0.70. The form guide is not providing a strong directional steer; the model and market data will carry more weight in the final assessment.

The BTTS market is worth targeting here. Al-Raed register both teams scoring in 60% of relevant matches, Al Khaleej Saihat in 80% (using home/away splits) — both sides above the 60% threshold gives BTTS Yes firm statistical grounding.

Head to Head

Al Khaleej Saihat have tended to come out on top in this fixture, winning 3 of the last 5 encounters against Al-Raed's 0 victories.

The last 5 meetings have been tight affairs, averaging just 1.6 goals per game. That low-scoring pattern is a meaningful historical input for the Under 2.5 market. The most recent clash, on 1 Nov 2024, ended 0–4 with Al Khaleej Saihat winning.

It is worth noting that Al Khaleej Saihat have a superior record in this fixture despite their visitor status — 3 wins from 5 meetings. Home advantage alone is not a sufficient reason to dismiss that track record.

Trading Patterns

Al-Raed in-play and half-time data (59 games, 29 at home): they score before half-time in 66% of fixtures in home games; when goalless at HT, a second-half goal follows 67% of the time; BTTS occurs in 52% of their matches (home games); Over 2.5 goals lands in 55% of games (home games); they fail to score in 34% of games.

Al Khaleej Saihat in-play and half-time data (59 games, 29 at away): they score before half-time in 76% of fixtures in away games; when goalless at HT, a second-half goal follows 74% of the time; BTTS occurs in 59% of their matches (away games); Over 2.5 goals lands in 48% of games (away games).

BTTS rates are mixed from the trading data — Al-Raed 56% versus Al Khaleej Saihat 56%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Al-Raed 56% | Al Khaleej Saihat 49%).

Poisson Model

The Poisson distribution model projects Al-Raed 1.26 xG and Al Khaleej Saihat 1.50 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-Raed attack 0.749 / defence 1.155 | Al Khaleej Saihat attack 0.986 / defence 1.142. League average goals — home 1.475 / away 1.321. Al-Raed's attack strength of 0.749 is below the league average — the 1.26 xG projection reflects a team that scores at a discount to the division norm. Data: 59 Al-Raed games / 59 Al Khaleej Saihat games used (CurrentSeason).

Result probabilities: Al-Raed 32% | Draw 25% | Al Khaleej Saihat 43%. Fair-value odds: Al-Raed 3.12 | Draw 4.00 | Al Khaleej Saihat 2.33. This is a low-confidence result — no outcome exceeds 45%. The draw at 25% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 52% | BTTS probability 56% | Total xG 2.77. Over/Under 2.5 is close to a coin-flip at 52%/48% — the total xG of 2.77 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS probability of 56% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Summary & Verdict

The Poisson model's primary lean is Al Khaleej Saihat at 43% — marginal model lean. With a 25% draw probability, Draw No Bet on Al Khaleej Saihat offers a more defensible entry point than the straight win. The opposing side holds a 32% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.77 xG in total — Over 2.5 at 52% — marginal — conflicting signals confidence, supported by form averaging 3.0 goals per game — though H2H averaging only 1.6 goals per meeting points in the other direction.

On the BTTS market, Poisson puts 56% on Yes. Form rates corroborate: Al-Raed 60% | Al Khaleej Saihat 80% BTTS from recent games.

The outsider holds a 32% 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.

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