Shakhtar Donetsk
Shakhtar Donetsk operate as a moderately attacking outfit underpinned by modest underlying efficiency; they're generating 1.43 xG per match whilst conceding 1.14, suggesting a side that creates chances but lacks clinical edge in both boxes. Recent form has been patchy—one win, one draw, and two losses across their last four settled fixtures—indicating inconsistency at a critical juncture of the Conference League campaign. With no fixtures currently scheduled in the prediction window, the model remains primed for their next outing. Bawler's banker selections on Shakhtar matches have converted at 50%, reflecting the volatility inherent in predicting this squad's output.
How to read this: the green bar shows the average goals Shakhtar Donetsk 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 EUROPE: Conference League - Play Offs average — if the bar extends past the diamond, Shakhtar Donetsk are above average there.
How to read this: the solid line is the goals Shakhtar Donetsk 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 Shakhtar Donetsk's perspective. Tap a tile to see Bawler's full prediction for that match.
How to read this: each row groups settled Banker picks Bawler issued on Shakhtar Donetsk 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 Shakhtar Donetsk matches.