Santa Clara
Santa Clara operate as a marginally defensive-minded unit, conceding slightly more than they generate at 1.31 xG against 1.20 xG for, though neither figure suggests structural fragility. Recent form has been inconsistent—three wins, a draw and two losses across six settled fixtures—making them vulnerable to variance swings. With no immediate fixture in the forecast window, the focus remains on maintaining consistency; Bawler's model has demonstrated notable precision on Santa Clara matches, delivering a perfect hit rate across six banker selections.
How to read this: the green bar shows the average goals Santa Clara 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 PORTUGAL: Liga Portugal average — if the bar extends past the diamond, Santa Clara are above average there.
How to read this: the solid line is the goals Santa Clara 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 Santa Clara's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Santa Clara fixture, the model lands 6 out of 6 (100%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.