· Analysis updated 12:50 UTC
Qilwah vs Al Najoom Prediction, Odds & Statistics
Our Poisson-based model projects 1.23 expected goals for Qilwah and 1.04 for Al Najoom, a combined total of 2.27. That distribution gives Qilwah the largest share of the 1X2 market at 41%, with the draw at 28%. Goals markets follow the same shape: 40% for over 2.5 goals and 46% for both teams to score, with 1–1 the single most likely scoreline at 13%. Probabilities are statistical estimates and carry meaningful uncertainty — a 41% favourite still loses or draws a large share of the time.
Model pick
Home/Draw
69.0% probability
Expected goals
1.23 – 1.04
Model version
poisson-v2
Cold start: only league-table or short-form data was available for these teams.
Probabilities are statistical estimates, not guarantees.
Why the model likes this
Each point below is derived from this fixture's own data — recent results, home and away splits, scoring and defensive rates and head-to-head history where it exists. Points only appear when the underlying data supports them.
Most likely outcome
The model rates Qilwah to win the strongest 1X2 selection at 41%, against 41% / 28% / 31% for home, draw and away.
Expected goals balance
Projected 1.23 goals for Qilwah and 1.04 for Al Najoom, a combined 2.27 — a tighter, lower-scoring profile.
Goals markets
Over 2.5 goals lands at 40% and both teams to score at 46%, with 1–1 the single most likely scoreline at 13%.
Model confidence
The headline pick is rated 69% with moderate confidence, from a data-quality score of 42/100 while season data is still limited.
Match result (1X2)
Double chance 1X
69%
Double chance 12
72%
Double chance X2
59%
Goals markets
Correct score
- 1–113.2%
- 1–012.8%
- 0–110.7%
- 0–010.4%
- 2–18.1%
Recent form
Qilwah
Al Najoom
Head-to-head
Head-to-head history is temporarily unavailable. The prediction is unaffected — it is built from current form, home and away performance, goals data and competition statistics.
Division 2 table
| # | Team | P | W | D | L | GD | Pts |
|---|---|---|---|---|---|---|---|
| 1 | Al Sharq | 3 | 2 | 1 | 0 | 7 | 7 |
| 2 | Al Entesar | 3 | 2 | 1 | 0 | 3 | 7 |
| 3 | Al-Wajj | 3 | 2 | 1 | 0 | 3 | 7 |
| 4 | Baish | 2 | 2 | 0 | 0 | 2 | 6 |
| 5 | Al-Kawkab | 3 | 2 | 0 | 1 | 0 | 6 |
| 6 | Al Hada | 2 | 1 | 1 | 0 | 3 | 4 |
| 7 | Al Rawdhah | 2 | 1 | 1 | 0 | 2 | 4 |
| 8 | Al Sahel | 3 | 1 | 1 | 1 | 0 | 4 |
| 9 | Al Taraji | 3 | 1 | 1 | 1 | -1 | 4 |
| 10 | Al Arabi SC | 3 | 1 | 1 | 1 | -1 | 4 |
| 11 | Al-Ain | 1 | 1 | 0 | 0 | 3 | 3 |
| 12 | Al Qalah | 1 | 1 | 0 | 0 | 2 | 3 |
| 13 | Al Rayan | 2 | 1 | 0 | 1 | 1 | 3 |
| 14 | Najran | 1 | 1 | 0 | 0 | 1 | 3 |
| 15 | Al Qous | 3 | 0 | 3 | 0 | 0 | 3 |
| 16 | Al Shoalah | 2 | 1 | 0 | 1 | 0 | 3 |
| 17 | Arar | 2 | 1 | 0 | 1 | 0 | 3 |
| 18 | Al Najoom | 3 | 1 | 0 | 2 | -1 | 3 |
| 19 | Al Safa | 2 | 1 | 0 | 1 | -2 | 3 |
| 20 | Al Baten | 2 | 0 | 2 | 0 | 0 | 2 |
| 21 | Al Jubail | 3 | 0 | 2 | 1 | -1 | 2 |
| 22 | Jubbah | 3 | 0 | 2 | 1 | -2 | 2 |
| 23 | Mudhar Club | 1 | 0 | 1 | 0 | 0 | 1 |
| 24 | Al Nairyah | 2 | 0 | 1 | 1 | -1 | 1 |
| 25 | Qilwah | 2 | 0 | 1 | 1 | -1 | 1 |
| 26 | Afif | 3 | 0 | 1 | 2 | -2 | 1 |
| 27 | Al Gottah | 2 | 0 | 1 | 1 | -2 | 1 |
| 28 | Al Loa | 2 | 0 | 1 | 1 | -2 | 1 |
| 29 | Al Qwarah | 3 | 0 | 1 | 2 | -3 | 1 |
| 30 | Jerash | 1 | 0 | 0 | 1 | -1 | 0 |
| 31 | Al-Washm | 2 | 0 | 0 | 2 | -7 | 0 |
Prediction conclusion
The model's leading selection is Home/Draw, at 69.0%. Its single most likely scoreline is 1–1.
It puts both teams scoring at 46% and over 2.5 goals at 40%.
A 69% selection is expected to miss in the remaining share of matches, and football regularly produces red cards, injuries and tactical changes the data cannot see. Treat this as a probability, not a forecast of the result.
Predictions are statistical estimates generated from historical and current team data. They are provided for information and entertainment only and are not betting advice. 18+ only.