🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

📋

Poisson model rates Al Najma at 39%, yet other data sources diverge — this Al Najma vs Damac fixture contains genuine analytical tension.

✍️ Match Preview

Analysis

Damac make the trip to King Abdullah Sports City Stadium to face Al Najma in Pro League, Regular Season - 26. The match kicks off on Thursday 12 March 2026 at 19:00 UTC.

Form & Momentum

Al Najma have collected 0.50 PPG across 10 Pro League outings this season: 1W 2D 7L. Last five: W L L L L. They are averaging 0.60 goals per game and conceding 2.50 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.50 goals conceded per game is a concern — opposing attacks have exploited them regularly. 1 clean sheet from 10 outings provides some defensive foundation. This season is still relatively young for Al Najma, so this record blends games from this season and last.

Al Najma at King Abdullah Sports City Stadium this season: 1W 3D 6L from 10 home games — 0.60 PPG on home soil. At home they are averaging 1.30 goals scored and 2.50 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.

Damac (all games): 2W 2D 6L across 10 Pro League outings this term — 0.80 points per game. Last five: W L L D W. Their scoring rate of 0.90 per game is modest, conceding 1.50 — 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. This season is still relatively young for Damac, so this record blends games from this season and last.

Damac's form when playing away from home: 1W 5D 4L across 10 road games this term (0.80 PPG). Away from home they average 0.70 goals scored and 1.60 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context.

Both sides are running at similar form levels — 0.50 PPG for Al Najma against 0.80 for Damac. There is no clear form edge to exploit here; other signals need to take the lead.

In terms of goals, both squads have been finding the net consistently (using home/away splits) — Al Najma have seen both teams score in 80% of their games, Damac in 60%. That combined rate is a strong statistical case for BTTS Yes as a standalone play.

H2H History

The head-to-head record is closely matched — Al Najma lead 0W to 0W over the last 1 encounters, with 1 draws, though neither side has established a commanding advantage.

Historically, goals have been at a premium in this fixture — just 0.0 per game from 1 meetings. The Under 2.5 has a clear base rate from the H2H record alone. The most recent clash, on 22 Nov 2025, ended 0–0 with a draw.

With a balanced win record and just 0.0 goals per game historically, the H2H points toward a tight, low-scoring contest. Under 2.5 goals has the strongest statistical grounding from the fixture history regardless of which side wins.

Trading

Al Najma half-time and goal-timing data (25 games, 12 at home): they score before half-time in 75% of fixtures in home games; when goalless at HT, a second-half goal follows 71% of the time; BTTS occurs in 75% of their matches (home games); Over 2.5 goals lands in 67% of games (home games); Over 3.5 in 44%; they fail to score in 36% of games.

Damac half-time and goal-timing data (25 games, 12 at away): they score before half-time in 92% of fixtures in away games; when goalless at HT, a second-half goal follows 60% of the time; two or more arrive in the second half on 60% of those occasions; BTTS occurs in 67% of their matches (away games); Over 2.5 goals lands in 42% of games (away games).

From a combined perspective, both sides have high BTTS rates — Al Najma 64% and Damac 64% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (Al Najma 68% | Damac 44%).

Poisson Model

The Poisson distribution model projects Al Najma 1.42 xG and Damac 1.32 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 Najma attack 0.797 / defence 1.475 | Damac attack 0.625 / defence 1.187. League average goals — home 1.498 / away 1.431. Al Najma's attack strength of 0.797 is below the league average — the 1.42 xG projection reflects a team that scores at a discount to the division norm. Data: 25 Al Najma games / 59 Damac games used (CurrentSeason).

Result probabilities: Al Najma 39% | Draw 27% | Damac 34%. Fair-value odds: Al Najma 2.56 | Draw 3.70 | Damac 2.94. This is a low-confidence result — no outcome exceeds 45%. The draw at 27% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 52% | BTTS probability 56% | Total xG 2.74. Over/Under 2.5 is close to a coin-flip at 52%/48% — the total xG of 2.74 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.

Verdict

The Poisson model's primary lean is Al Najma at 39% — marginal model lean. Draw probability of 27% warrants consideration of Double Chance or Draw No Bet on Al Najma if the outright odds are short. The opposing side holds a 34% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.74 xG in total — Over 2.5 at 52% — reasonable confidence, supported by form averaging 3.0 goals per game.

Poisson assigns a 56% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Al Najma 80% | Damac 60% BTTS from recent games.

The outsider holds a 34% 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