Minnesota United
Minnesota United operate as a below-average attacking side with an xG profile of 1.31 per match, whilst their defensive fragility—conceding 1.49 expected goals—remains the more pressing concern. Recent form has been mixed across six settled fixtures, yielding two wins, two draws, and two losses, with the last two outings producing defeats that underline their vulnerability away from home. Without an imminent fixture in the prediction window, the focus turns to their underlying metrics: the model flags Minnesota as vulnerable in both phases of play, particularly when facing sides with clinical finishing. Bawler's banker accuracy on Minnesota matches stands at just 17 per cent, suggesting the model has found limited high-conviction edges in their contests.
How to read this: the green bar shows the average goals Minnesota United 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, Minnesota United are above average there.
How to read this: the solid line is the goals Minnesota United 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 Minnesota United's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Minnesota United fixture, the model lands 2 out of 7 (29%). This sits below the cross-league baseline — the model finds this team harder to read than most. Every pick is logged before kickoff and settled publicly.
How to read this: each row groups settled Banker picks Bawler issued on Minnesota United 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 Minnesota United matches.