
Dallas operate as a well-balanced outfit, marginally outscoring opponents (1.40 xG for, 1.37 against) whilst maintaining defensive solidity. Their recent form is exceptional, with five wins across the last six settled matches demonstrating consistent clinical execution when it matters. Without an immediate fixture in the analysis window, the model's underlying efficiency metrics suggest Dallas remain a reliable proposition. Bawler's bankers on this team have landed at a healthy 67% clip, signalling strong predictive grip on their attacking output thresholds.
How to read this: the green bar shows the average goals Dallas 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, Dallas are above average there.
How to read this: the solid line is the goals Dallas 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 Dallas's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Dallas fixture, the model lands 5 out of 7 (71%). 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 Dallas 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 Dallas matches.