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Prediction vindicated as Baniyas SC edge out Al Urooba 2-1.

📝 Match Report

How It Unfolded

Baniyas SC beat Al Urooba 2-1 at Baniyas Stadium, Regular Season - 19, 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 Baniyas SC 1.56 xG and Al Urooba 0.74 xG, a combined 2.30. The scoreboard read 2-1 for 3 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 Baniyas SC attack 0.71 / defence 1.07 against Al Urooba attack 0.51 / defence 1.41, drawn from 44/18 games (CurrentSeason).

On the result, the model split it Baniyas SC 57% | Draw 25% | Al Urooba 18%, with Baniyas SC to win its most likely call at 57%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 40%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 67% and landed. On both teams to score, the model sat at 41% and the match saw both sides score — a miss on BTTS. Historically the two sides average 58% Over 2.5 across their same-competition games (Baniyas SC 50%, Al Urooba 67%), a base rate that agreed with today's over. Their combined BTTS history runs at 44%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Baniyas SC's trading profile (18 games, 8 home) set some clear expectations: BTTS lands in 44% of their matches — today it did.

Al Urooba's trading profile (18 games, 8 away) set some clear expectations: BTTS lands in 44% of their matches — today it did.

Form vs Result

On form, Baniyas SC arrived the stronger side — 1.06 PPG against 0.17. That form edge translated into the three points. Baniyas SC (home/away splits) scored 2 against a 1.00 average — above their attacking norm.

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). The model got the gist right while missing on the margins.

💡 Key Insights