
Houston Dynamo are a profligate outfit, creating chances at a respectable rate (1.22 xG per match) but converting poorly whilst remaining defensively porous (1.61 xG conceded). Their recent record—three wins and three losses in six games—reflects this inconsistency, though the W-L-W-W pattern shows marginal momentum before the last reverse. With no immediate fixture in the analysis window, the focus remains on the underlying model: Bawler's bankers on Dynamo matches have landed at exactly 50 per cent, suggesting moderate confidence is warranted when the schedule resumes.
How to read this: the green bar shows the average goals Houston Dynamo 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 USA: MLS average — if the bar extends past the diamond, Houston Dynamo are above average there.
How to read this: the solid line is the goals Houston Dynamo 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 Houston Dynamo's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Houston Dynamo fixture, the model lands 4 out of 7 (57%). Every pick is logged before kickoff and settled publicly.
How to read this: each row groups settled Banker picks Bawler issued on Houston Dynamo 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 Houston Dynamo matches.