Australia are the model's pick, without being a certainty. The model expects them to create about a goal more per game than Qatar. The model sees around two goals in it.
The grey number is their average over the last six.
Each bar is split by each side's share of the total.
Australia to win is 71% now. Here is what it would become at half-time:
Each row is the call worked out again for that half-time score. 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.
How likely each side is to reach these totals before half-time.
At half-time we update each side’s chance of scoring in the second half from what the first half showed.
Bawler's model rates this match: Australia are favoured (71% win probability vs 8% for Qatar, 21% draw). The model uses each side’s expected goals, recent form and the strength of the opposition.
The most likely scoreline from Bawler's model is Qatar 0-1 Australia (17.0% probability). Expected total goals: 2.4.
Bawler estimates each side's expected goals from its results and the quality of its chances, adjusted for the strength of the opposition and for home advantage, then works out the chance of every scoreline to get win, draw and both-teams-to-score probabilities. Team news and lineups are not built into these numbers. For this match that gives Qatar 8%, the draw 21% and Australia 71%. Every prediction is published before kickoff and settled afterwards.
Probably not — Bawler's model gives both teams scoring a 33% chance, so at least one side is more likely than not to keep a clean sheet. That is based on Qatar expecting 0.49 goals and Australia 1.93.
Bawler's model expects 2.4 goals in total. It leans slightly towards two goals or fewer: over 2.5 goals is 43%.