
Newcastle operate as a measured attacking unit with an xG profile of 1.65 scored against 1.33 conceded—neither particularly prolific nor vulnerable, but structurally balanced. Recent form has been mixed, with two wins offset by two losses in their last five, though a midweek draw suggests some steadying. Without a fixture in the immediate window, the model's focus remains on their underlying efficiency: Newcastle's clinical finishing relative to chances created positions them as reliable propositions when the odds align. Bawler's banker selections on Newcastle have landed at 80%, indicating consistent model conviction on their matches.
How to read this: the green bar shows the average goals Newcastle 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 England: Premier League average — if the bar extends past the diamond, Newcastle are above average there.
How to read this: the solid line is the goals Newcastle 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 Newcastle's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Newcastle fixture, the model lands 4 out of 6 (67%). Every pick is logged before kickoff and settled publicly.
How to read this: each row groups settled Banker picks Bawler issued on Newcastle 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 Newcastle matches.