
Besiktas sit as a moderately attacking outfit with an xG profile of 1.57 scored against 1.34 conceded, suggesting a side that creates chances at a reasonable rate but remains vulnerable defensively. Recent form has been inconsistent—two wins, a draw and two losses across the last five—indicating the squad struggles with consistency in both execution and solidity. With no upcoming fixtures in the current window, the model will refresh once fresh matchday data arrives. Bawler's banker selections on Besiktas have historically converted at 80%, signalling strong predictive stability on this team.
How to read this: the green bar shows the average goals Besiktas were expected to score per match (their xG output). The red bar shows what opponents are expected to score against them. The diamond on each bar marks the TURKEY: Super Lig average — if the bar extends past the diamond, Besiktas are above average there.
How to read this: the solid line is the goals Besiktas actually scored each match. The dashed line is the goals the model expected them to score (xG). When the solid line is above the dashed, they overperformed — they finished better than the chances they created suggested. When it's below, they underperformed. Persistent underperformance often regresses; a one-off gap usually doesn't.
How to read this: each tile is one settled match, most recent first. Green = win, amber = draw, red = loss. Numbers show the actual scoreline from Besiktas's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Besiktas fixture, the model lands 4 out of 5 (80%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.
How to read this: each row groups settled Banker picks Bawler issued on Besiktas fixtures by market type, so you can see where the model has the strongest read on this team. Higher hit rate = more reliable category for Besiktas matches.