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Al Ain cruise to a comfortable 2-0 victory over Ajman.

📝 Match Report

How It Unfolded

Al Ain beat Ajman 2-0 at Tahnoun Bin Mohamed Stadium, Regular Season - 21, 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 Ain 1.64 xG and Ajman 0.98 xG, a combined 2.62. The scoreboard read 2-0 for 2 actual goals. Ajman landed 1.0 under their projected return. Those figures were built on strength ratings of Al Ain attack 1.10 / defence 0.74 against Ajman attack 0.98 / defence 1.05, drawn from 46/46 games (CurrentSeason).

On the result, the model split it Al Ain 53% | Draw 25% | Ajman 23%, with Al Ain to win its most likely call at 53%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 49%. The game delivered 2, so it stayed under — a call the model got right. Over 1.5 had been 74% and landed. On both teams to score, the model sat at 50% and the match did not — a miss on BTTS. Historically the two sides average 56% Over 2.5 across their same-competition games (Al Ain 63%, Ajman 50%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 54%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Al Ain's trading profile (46 games, 22 home) set some clear expectations: BTTS lands in 59% of their matches — today it did not; they keep a clean sheet 37% of the time, and duly kept one.

Ajman's trading profile (46 games, 22 away) set some clear expectations: BTTS lands in 50% of their matches — today it did not; they fail to score in 35% of games, a blank that repeated today.

Form vs Result

On form, Al Ain arrived the stronger side — 2.04 PPG against 1.20. That form edge translated into the three points. Ajman (home/away splits) managed 0 against a 1.00 scoring average — below par going forward.

Verdict

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

💡 Key Insights