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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-Hilal Saudi FC cruise to a comfortable 2-0 victory over NEOM.

📝 Match Report

How It Unfolded

Al-Hilal Saudi FC beat NEOM 2-0 at Kingdom Arena, Regular Season - 33, in the Pro League. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Al-Hilal Saudi FC 2.27 xG and NEOM 0.88 xG, a combined 3.15. The scoreboard read 2-0 for 2 actual goals. NEOM landed 0.9 under their projected return. Those figures were built on strength ratings of Al-Hilal Saudi FC attack 1.41 / defence 0.66 against NEOM attack 0.93 / defence 1.07, drawn from 66/32 games (CurrentSeason).

On the result, the model split it Al-Hilal Saudi FC 68% | Draw 20% | NEOM 12%, with Al-Hilal Saudi FC to win its most likely call at 68%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 61%. The game delivered 2, so it stayed under — a miss for the goals model. Over 1.5 had been 83% and landed. On both teams to score, the model sat at 53% and the match did not — a miss on BTTS. Historically the two sides average 59% Over 2.5 across their same-competition games (Al-Hilal Saudi FC 62%, NEOM 56%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 61%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Al-Hilal Saudi FC's trading profile (32 games, 16 home) set some clear expectations: BTTS lands in 56% of their matches — today it did not; they keep a clean sheet 44% of the time, and duly kept one.

NEOM's trading profile (32 games, 16 away) set some clear expectations: BTTS lands in 66% of their matches — today it did not.

Form vs Result

On form, Al-Hilal Saudi FC arrived the stronger side — 2.44 PPG against 1.38. The form guide was vindicated by the result. NEOM (home/away splits) managed 0 against a 1.44 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights