ringside-analytics / examples /duckdb_queries.sql
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-- Ringside Wrestling Archive — DuckDB SQL recipes
--
-- DuckDB reads parquet directly with no schema setup. Run with:
-- duckdb < duckdb_queries.sql
-- or interactively:
-- duckdb
-- .read duckdb_queries.sql
--
-- All queries assume parquet files are in the current directory.
-- ──────────────────────────────────────────────────────────────────────
-- 1. Sanity check — row counts per table
-- ──────────────────────────────────────────────────────────────────────
SELECT 'promotions' AS tbl, COUNT(*) AS rows FROM 'promotions.parquet'
UNION ALL SELECT 'wrestlers', COUNT(*) FROM 'wrestlers.parquet'
UNION ALL SELECT 'wrestler_aliases', COUNT(*) FROM 'wrestler_aliases.parquet'
UNION ALL SELECT 'events', COUNT(*) FROM 'events.parquet'
UNION ALL SELECT 'matches', COUNT(*) FROM 'matches.parquet'
UNION ALL SELECT 'match_participants', COUNT(*) FROM 'match_participants.parquet'
UNION ALL SELECT 'titles', COUNT(*) FROM 'titles.parquet'
UNION ALL SELECT 'title_reigns', COUNT(*) FROM 'title_reigns.parquet'
UNION ALL SELECT 'alignment_turns', COUNT(*) FROM 'alignment_turns.parquet'
ORDER BY rows DESC;
-- ──────────────────────────────────────────────────────────────────────
-- 2. Top 20 wrestlers by total matches
-- ──────────────────────────────────────────────────────────────────────
SELECT w.ring_name, COUNT(*) AS matches
FROM 'match_participants.parquet' mp
JOIN 'wrestlers.parquet' w ON w.id = mp.wrestler_id
GROUP BY 1
ORDER BY 2 DESC
LIMIT 20;
-- ──────────────────────────────────────────────────────────────────────
-- 3. Matches per year by promotion (last 30 years)
-- ──────────────────────────────────────────────────────────────────────
SELECT
EXTRACT(YEAR FROM e.date) AS year,
p.abbreviation AS promo,
COUNT(*) AS matches
FROM 'matches.parquet' m
JOIN 'events.parquet' e ON e.id = m.event_id
JOIN 'promotions.parquet' p ON p.id = e.promotion_id
WHERE e.date >= CURRENT_DATE - INTERVAL 30 YEAR
GROUP BY 1, 2
ORDER BY 1 DESC, 3 DESC;
-- ──────────────────────────────────────────────────────────────────────
-- 4. Career win rates (≥50 matches) — the kayfabe distribution
-- ──────────────────────────────────────────────────────────────────────
SELECT
w.ring_name,
COUNT(*) AS matches,
AVG((mp.result = 'win')::INTEGER)::DECIMAL(4,3) AS win_rate
FROM 'match_participants.parquet' mp
JOIN 'wrestlers.parquet' w ON w.id = mp.wrestler_id
GROUP BY w.ring_name
HAVING COUNT(*) >= 50
ORDER BY win_rate DESC
LIMIT 30;
-- ──────────────────────────────────────────────────────────────────────
-- 5. Longest title reigns
-- ──────────────────────────────────────────────────────────────────────
SELECT
w.ring_name,
t.name AS title,
tr.won_date,
COALESCE(tr.lost_date, CURRENT_DATE) - tr.won_date AS length_days,
tr.defenses
FROM 'title_reigns.parquet' tr
JOIN 'wrestlers.parquet' w ON w.id = tr.wrestler_id
JOIN 'titles.parquet' t ON t.id = tr.title_id
ORDER BY length_days DESC
LIMIT 25;
-- ──────────────────────────────────────────────────────────────────────
-- 6. Highest-rated matches (Cagematch crowd ratings)
-- ──────────────────────────────────────────────────────────────────────
SELECT
e.date,
e.name AS event,
p.abbreviation AS promo,
m.match_type,
m.rating
FROM 'matches.parquet' m
JOIN 'events.parquet' e ON e.id = m.event_id
JOIN 'promotions.parquet' p ON p.id = e.promotion_id
WHERE m.rating IS NOT NULL
ORDER BY m.rating DESC, e.date DESC
LIMIT 25;
-- ──────────────────────────────────────────────────────────────────────
-- 7. Royal Rumble winners by year
-- ──────────────────────────────────────────────────────────────────────
SELECT
EXTRACT(YEAR FROM e.date) AS year,
w.ring_name AS winner
FROM 'matches.parquet' m
JOIN 'events.parquet' e ON e.id = m.event_id
JOIN 'match_participants.parquet' mp ON mp.match_id = m.id AND mp.result = 'win'
JOIN 'wrestlers.parquet' w ON w.id = mp.wrestler_id
WHERE m.match_type = 'royal_rumble'
ORDER BY year DESC;
-- ──────────────────────────────────────────────────────────────────────
-- 8. Head-to-head — most-wrestled matchup
-- ──────────────────────────────────────────────────────────────────────
WITH singles AS (
SELECT match_id
FROM 'match_participants.parquet'
GROUP BY match_id
HAVING COUNT(*) = 2
),
pairs AS (
SELECT
s.match_id,
LEAST(mp1.wrestler_id, mp2.wrestler_id) AS w_a,
GREATEST(mp1.wrestler_id, mp2.wrestler_id) AS w_b
FROM singles s
JOIN 'match_participants.parquet' mp1 ON mp1.match_id = s.match_id
JOIN 'match_participants.parquet' mp2 ON mp2.match_id = s.match_id AND mp1.id < mp2.id
)
SELECT
wa.ring_name AS wrestler_a,
wb.ring_name AS wrestler_b,
COUNT(*) AS encounters
FROM pairs p
JOIN 'wrestlers.parquet' wa ON wa.id = p.w_a
JOIN 'wrestlers.parquet' wb ON wb.id = p.w_b
GROUP BY 1, 2
ORDER BY 3 DESC
LIMIT 25;
-- ──────────────────────────────────────────────────────────────────────
-- 9. Match-type win-rate variance (which formats are predictable?)
-- ──────────────────────────────────────────────────────────────────────
SELECT
m.match_type,
COUNT(*) AS matches,
AVG((mp.result = 'win')::INTEGER)::DECIMAL(4,3) AS win_rate,
STDDEV_SAMP((mp.result = 'win')::INTEGER)::DECIMAL(4,3) AS stddev
FROM 'matches.parquet' m
JOIN 'match_participants.parquet' mp ON mp.match_id = m.id
GROUP BY 1
HAVING matches > 100
ORDER BY stddev DESC;
-- ──────────────────────────────────────────────────────────────────────
-- 10. Use the denormalized match_view for quick ML-ready slices
-- ──────────────────────────────────────────────────────────────────────
SELECT
promotion_abbr,
COUNT(*) AS matches,
AVG(rating) AS avg_rating,
AVG((result = 'win')::INTEGER) AS win_rate
FROM 'match_view.parquet'
WHERE year >= 2020
AND is_singles
GROUP BY 1
ORDER BY 2 DESC;