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

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Poisson model rates Al-Ittihad Kalba at 38%, yet other data sources diverge — this Al-Ittihad Kalba vs Al Nasr fixture contains genuine analytical tension.

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Fixture Analysis

It is a Pro League clash, Regular Season - 1 as Al-Ittihad Kalba welcome Al Nasr to Ittihad Kalba Club Stadium. Kick-off is set for Saturday 16 August 2025 at 17:30 UTC.

Recent Form

Across all Pro League games this season, Al-Ittihad Kalba have gone 3W 2D 5L from 10 outings — a 1.10 PPG return. Last five: W W W L D. They are averaging 1.30 goals per game and conceding 1.50 — a modest attacking output that tempers optimism on the Over 2.5 market. 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-Ittihad Kalba haven't played a Pro League game yet this season, so this record is entirely from last season.

In front of their own supporters this season, Al-Ittihad Kalba have posted 3W 2D 5L at Ittihad Kalba Club Stadium — 1.10 PPG. At home they are averaging 1.40 goals scored and 1.60 conceded per game. Both teams have scored in 70% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Al Nasr — All Games: 3W 3D 4L from 10 Pro League fixtures this season — 1.20 PPG. Last five: W D D W L. They are scoring at 1.50 per game and conceding 1.70. 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. Al Nasr haven't played a Pro League game yet this season, so this record is entirely from last season.

On the road, Al Nasr have gone 3W 3D 4L from 10 away fixtures this term (1.20 PPG). Away from home they average 1.50 goals scored and 2.10 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context.

The form figures are too closely matched to derive a directional pick: Al-Ittihad Kalba 1.10 PPG, Al Nasr 1.20 PPG. Look to other data sets to build the analysis.

The BTTS market is worth targeting here. Al-Ittihad Kalba register both teams scoring in 70% of relevant matches, Al Nasr in 60% (using home/away splits) — both sides above the 60% threshold gives BTTS Yes firm statistical grounding.

H2H

The H2H landscape is flat: 8 previous encounters have yielded 2 wins for Al-Ittihad Kalba, 3 for Al Nasr and 3 draws. A neutral reading in isolation.

The 8 previous encounters between these sides have been high-scoring affairs — 4.0 goals per contest on average. Historical precedent backs the Over 2.5 goals market. The most recent clash, on 19 May 2025, ended 2–3 with Al Nasr winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 4.0 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

Trading Patterns

Al-Ittihad Kalba in-play and half-time data (26 games, 13 at home): they score before half-time in 69% of fixtures in home games; when goalless at HT, a second-half goal follows 75% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 62% of their matches (home games); Over 2.5 goals lands in 69% of games (home games); Over 3.5 in 38%.

Al Nasr in-play and half-time data (26 games, 13 at away): they score before half-time in 77% of fixtures in away games; when goalless at HT, a second-half goal follows 60% of the time; BTTS occurs in 69% of their matches (away games); Over 2.5 goals lands in 77% of games (away games); Over 3.5 in 54%.

From a combined perspective, both sides have high BTTS rates — Al-Ittihad Kalba 65% and Al Nasr 69% — which reinforces the BTTS Yes angle from in-play data. Over 2.5 goals is well-supported by both sides' in-play profiles (Al-Ittihad Kalba 65% | Al Nasr 69%).

Poisson Model

The Poisson distribution model projects Al-Ittihad Kalba 1.62 xG and Al Nasr 1.60 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-Ittihad Kalba attack 0.991 / defence 1.011 | Al Nasr attack 1.049 / defence 1.059. League average goals — home 1.542 / away 1.515. Data: 26 Al-Ittihad Kalba games / 26 Al Nasr 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-Ittihad Kalba 38% | Draw 24% | Al Nasr 38%. Fair-value odds: Al-Ittihad Kalba 2.63 | Draw 4.17 | Al Nasr 2.63. The draw (24%) is the Poisson-preferred outcome — neither side is more likely to win than to draw, making draw-inclusive markets the most model-aligned approach.

Goals markets: Over 2.5 probability 63% | BTTS probability 64% | Total xG 3.22. Over 2.5 holds a meaningful probability edge at 63% — the 3.22 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 64% reflects that both xG figures (1.62 / 1.60) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Summary & Verdict

The Poisson model's preferred outcome is the draw at 24% — neither side is more likely to win than to draw. Draw-inclusive markets are the most model-aligned approach. Home win at 38% and away win at 38% are close enough that backing either outright carries significant draw exposure.

On the goals line, Poisson's 3.22 combined xG gives a 63% probability to Over 2.5 — strong, supported by form averaging 3.3 goals per game and H2H averaging 4.0 goals per meeting.

Poisson assigns a 64% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Al-Ittihad Kalba 70% | Al Nasr 60% BTTS from recent games.

The outsider holds a 38% 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 (26 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

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