Sri Lanka are more likely than not to avoid defeat, but it is close. The model expects them to create around half a goal more per game than Seychelles. Expect goals: the model sees around four.
Sri Lanka or draw, priced again from the same expected goals if the match reaches these states.
Each row is the call re-priced for that scoreline at half-time. Lineups are not in it — we publish per-player shooting rates, not a squad-strength number, so what a rested front three does to this figure is not something we can honestly put a number on.
Bawler's model rates this match: Sri Lanka are favoured (50% win probability vs 27% for Seychelles, 22% draw). The model uses rolling xG, recent form, and lineup data.
The most likely scoreline from Bawler's model is Seychelles 1-1 Sri Lanka (9.3% probability). Expected total goals: 3.54.
Bawler builds each side's expected goals from a rolling 26-match window, adjusts for home advantage and for injuries or absences in the confirmed squads, then runs the resulting scoreline distribution to get win, draw and both-teams-to-score probabilities. For this match that gives Seychelles 27%, the draw 22% and Sri Lanka 50%. Every prediction is published before kickoff and settled afterwards.
BTTS: Yes (68% probability) — both attacks should find the net. Based on home expected goals 1.49 and away expected goals 2.05.
Bawler's model gives a combined expected-goals total of 3.54. The lean is Over 2.5 (a goal-fest is on the cards).