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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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Al-Fayha and Damac share the spoils in a 1-1 draw.

📝 Match Report

How It Unfolded

Al-Fayha and Damac finished level at 1-1 at King Abdullah Sports City Stadium, Regular Season - 16, in the Pro League. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting Al-Fayha 1.15 xG and Damac 1.21 xG, a combined 2.36. The scoreboard read 1-1 for 2 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Al-Fayha attack 0.67 / defence 1.13 against Damac attack 0.76 / defence 1.10, drawn from 48/48 games (CurrentSeason).

On the result, the model split it Al-Fayha 35% | Draw 28% | Damac 38%, with Damac to win its most likely call at 38%. The actual draw had been the model's second-ranked read at 28%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 42%. The game delivered 2, so it stayed under — a call the model got right. Over 1.5 had been 68% and landed. On both teams to score, the model sat at 48% and the match saw both sides score — a miss on BTTS. Historically the two sides average 46% Over 2.5 across their same-competition games (Al-Fayha 44%, Damac 48%), a base rate that agreed with today's under. Their combined BTTS history runs at 48%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Al-Fayha's trading profile (48 games, 23 home) set some clear expectations: BTTS lands in 40% of their matches — today it did.

Damac's trading profile (48 games, 23 away) set some clear expectations: BTTS lands in 56% of their matches — today it did.

Form vs Result

The form lines were close — Al-Fayha 1.02 PPG, Damac 0.94 PPG — offering no strong steer, and the draw fit that even billing.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (miss). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.

💡 Key Insights