calculations.matches_6_team_stats_window
Adds team-level scoring and conceding statistics over a trailing 1-year window (31_536_000 seconds preceding, excluding the current match) for both the home and away team in each row. Inherits all columns from matches_5_score.
Lineage
Section titled “Lineage”flowchart LR m5[/matches_5_score/] --> me[/calculations.matches_6_team_stats_window/] me --> m7[/matches_7_league_stats_window/] me --> mart[/mart.matches/] click m5 "/calculations/matches_5_score/" "Open" click m7 "/calculations/matches_7_league_stats_window/" "Open" click mart "/mart/matches/" "Open"
Columns
Section titled “Columns”| Column | Description | Formula |
|---|---|---|
* (matches_5_score) | All upstream columns. | passthrough |
stats_goals_scored_avg_home | Mean goals scored by the home team in this league over the prior year (excl. current match). | round(coalesce(avg(score_home) over (partition by league_id, team_home_id order by toUnixTimestamp(event_date) RANGE BETWEEN 31536000 PRECEDING AND 1 PRECEDING), 0), 2) |
stats_goals_scored_count_home | Number of prior matches contributing to the average. | count(score_home) over (… same window …) |
stats_goals_conceded_avg_home | Mean goals conceded by the home team in this league over the prior year. | round(coalesce(avg(score_away) over (partition by league_id, team_home_id …), 0), 2) |
stats_goals_conceded_count_home | Count for the conceded average. | count(score_away) over (…) |
stats_goals_scored_avg_away | Mean goals scored by the away team. | round(coalesce(avg(score_away) over (partition by league_id, team_away_id …), 0), 2) |
stats_goals_scored_count_away | Count for the away-team scored average. | count(score_away) over (…) |
stats_goals_conceded_avg_away | Mean goals conceded by the away team. | round(coalesce(avg(score_home) over (partition by league_id, team_away_id …), 0), 2) |
stats_goals_conceded_count_away | Count for the away-team conceded average. | count(score_home) over (…) |
All windows:
partition by league_id, team_*_id order by toUnixTimestamp(event_date) RANGE BETWEEN 31536000 PRECEDING AND 1 PRECEDING. The full historical dataset is loaded (no incremental filter) so the windows are correct on incremental runs; the incremental filter is applied only to the final SELECT.