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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 Bataeh cruise to a comfortable 1-3 victory over Al Urooba.

📝 Match Report

How It Unfolded

Al Bataeh beat Al Urooba 1-3 at Dibba Stadium, Regular Season - 25, 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 Urooba 1.16 xG and Al Bataeh 1.40 xG, a combined 2.56. The scoreboard read 1-3 for 4 actual goals. Al Bataeh outscored their 1.40 projection by 1.6. Those figures were built on strength ratings of Al Urooba attack 0.88 / defence 1.24 against Al Bataeh attack 0.80 / defence 0.87, drawn from 24/50 games (CurrentSeason).

On the result, the model split it Al Urooba 31% | Draw 27% | Al Bataeh 42%, with Al Bataeh to win its most likely call at 42%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 47%. The game delivered 4, so it went over — the opposite of the projected direction. Over 1.5 had been 73% and landed. Over 3.5 was 26% and came in. On both teams to score, the model sat at 52% and the match saw both sides score — another call in the model's favour. Historically the two sides average 62% Over 2.5 across their same-competition games (Al Urooba 71%, Al Bataeh 54%), a base rate that agreed with today's over. Their combined BTTS history runs at 56%, which matched the both-scored outcome.

Trading Patterns vs Reality

Al Urooba's trading profile (24 games, 12 home) set some clear expectations: BTTS lands in 54% of their matches — today it did.

Al Bataeh's trading profile (24 games, 12 away) set some clear expectations: BTTS lands in 58% of their matches — today it did.

Form vs Result

On form, Al Bataeh arrived the stronger side — 1.00 PPG against 0.42. That form edge translated into the three points. Al Bataeh (home/away splits) scored 3 against a 1.00 average — above their attacking norm.

Verdict

Grading the result against the stored data, 3 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (hit), form (hit). The model got the gist right while missing on the margins.

💡 Key Insights