Al-Faisaly FC vs Al-Hazm Prediction, Tips & Odds
Al-Faisaly FC vs Al-Hazm
Match Preview
The model favours Al-Hazm to win this match, projecting a scoreline of 2-1. Al-Hazm currently sits in 9th place in the league standings, having played two matches this season. With one win and one loss, they have scored two goals while conceding the same number. Their recent form shows three wins in their last five matches, indicating a solid start to the season despite a slight setback in their last game. On the other hand, Al-Faisaly FC finds itself at the bottom of the table in 14th place, having lost both of their opening matches. They have struggled defensively, allowing six goals while scoring only two. Their form is concerning, with only two wins out of their last five matches overall. This poor start puts them under pressure as they seek to secure their first points of the season. The model suggests a win probability of around 60% for Al-Hazm, with a score projection of 2-1. However, a potential caveat for this prediction is Al-Faisaly’s need to bounce back from their early struggles, which could lead to a more motivated performance. The full methodology behind this prediction is detailed in the "How We Reached This Prediction" section, where our in-house model analyses expected goals and actual results throughout the season.
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
Both attacks have been productive in recent matches, with regular goal-scoring on either side.
Combined goal output is high (2.9 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 16.5% probability.
Al-Faisaly FC have been the stronger side, winning 56% of their matches.
Our model projects a 1-1 draw as the most likely scoreline at 16.5% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 5 bookmakers. Al-Faisaly FC are the favourites on the spread, so the larger handicaps pay more if they win comfortably while the smaller lines protect the bet on a narrower result.
Best Betting Odds
Al-Faisaly FC vs Al-Hazm| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 2.08 | 3.28 | 3.08 | 1.80 | 1.90 | 1.64 | 2.07 | |
| 2.18 | 3.48 | 3.28 | 1.85 | 1.99 | — | — | |
| 2.10 | 3.10 | 3.00 | — | — | 1.65 | 2.05 | |
| 2.05 | 3.25 | 3.10 | 1.90 | 1.90 | 1.73 | 2.00 | |
| 2.16 | 3.40 | 3.20 | 1.82 | 1.92 | 1.64 | 2.10 | |
BetVictor | 2.10 | 3.30 | 3.13 | 1.81 | 1.86 | 1.67 | 2.05 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 10 Meetings (evenly matched 4-4)The head-to-head record between Al-Faisaly FC and Al-Hazm stands at four wins for each side, with two matches ending in draws over the last ten encounters. This indicates a balanced rivalry, with neither team having a clear upper hand. The scorelines reveal a mix of narrow victories, with several matches decided by a single goal, and a notable draw frequency. The most recent matches have been tightly contested, suggesting that both teams are capable of competing closely against each other. Overall, the historical results reflect a competitive matchup without a dominant pattern.
Pro League Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Al-Hilal Saudi FC | 6 | 5 | 0 | 1 | 17 | 5 | 12 | 15 | LWWWW |
| 2 |  Al-Qadisiyah FC | 6 | 5 | 0 | 1 | 13 | 5 | 8 | 15 | WWWWL |
| 3 |  Al-Ittihad FC | 6 | 4 | 2 | 0 | 9 | 5 | 4 | 14 | WWDWW |
| 4 |  Al-Nassr | 5 | 4 | 0 | 1 | 13 | 5 | 8 | 12 | LWWWW |
| 5 |  NEOM | 6 | 4 | 0 | 2 | 9 | 4 | 5 | 12 | WWLLW |
| 6 |  Al-Ettifaq | 6 | 3 | 1 | 2 | 8 | 8 | 0 | 10 | DWLLW |
| 9 | Al-Hazm | 6 | 2 | 2 | 2 | 6 | 6 | 0 | 8 | WDDLL |
| 16 |  Al-Fateh | 5 | 0 | 3 | 2 | 1 | 5 | -4 | 3 | DDDLL |
| 17 | Al-Faisaly FC | 6 | 0 | 3 | 3 | 4 | 10 | -6 | 3 | DDLDL |
| 18 |  Abha | 5 | 0 | 1 | 4 | 4 | 11 | -7 | 1 | LLDLL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonAl-Faisaly FC have won 4 of their last 9 matches at home, drawing 3 and losing 2. Their recent home fixtures include drew with Al-Faisaly FC 0-0 and drew with Al-Faisaly FC 1-1.
Overall, the wider run reads 9W 4D 3L from the last 16 games (56% win rate). The form line is positive, with more wins than defeats across the sample.
Al-Hazm have won 1 of their last 11 matches on the road, drawing 4 and losing 6. Their recent away fixtures include drew with Al-Faisaly FC 0-0 and lost to Al-Ittihad FC 3-2.
Overall, the wider run reads 9W 6D 9L from the last 24 games (38% win rate). The form line is positive, with more wins than defeats across the sample.
Lineups
ConfirmedAl-Faisaly FC4-4-2Confirmed
Al-Hazm3-4-3Confirmed
Unavailable Players
0 playersAl-Faisaly FC
No reported absences
Al-Hazm
No reported absences
Betting Strategy
High-probability picks are the most likely outcomes. Value selections are markets where our model's probability sits above the price implied by the odds. They will not always come in, but the odds are in your favour over time.
Yellow Card Prediction
The referee for this fixture has not been confirmed, so we are sitting this card market out.
Corner Prediction
Al-Faisaly FC have averaged 2.0 corners per match at home; Al-Hazm 5.1 on the road. Combined that projects roughly 4.5 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Al-Faisaly FC have generated 0.66 xG per game across their recent matches, winning 56% of them. They put 2.2 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Al-Faisaly FC player to score or assist at 1.55 looks well supported by the data.
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.