Let me start by finding the Blue Belcher archetype and the Floodmaw card simultaneously.
The "Floodmaw" search returned "Into the Flood Maw" β let me double-check what card is actually in Blue Belcher with that name. Let me pull the archetype's main deck cards to verify the right card, and also search more specifically.
The card is confirmed as Into the Flood Maw (card_id: 5fec289f-d738-4feb-b0c2-2158ba0ece3a). Now let me run the W/L/D split for Blue Belcher entries with 2β3 copies of Into the Flood Maw in the maindeck vs. the top 20 archetypes.
Now I have the top 20 archetypes. Let me run the custom matchup query for Blue Belcher entries with exactly 2β3 Into the Flood Maw in the maindeck vs each of those archetypes.
I need to get the actual archetype IDs for the top 20. Let me query them directly from the database.
All 20 IDs retrieved. Now let me run the full matchup query for Blue Belcher with 2β3 Flood Maw copies vs each opponent archetype.
The JOIN logic may have an issue with the opponent entry lookup. Let me simplify the query with a direct join.
Zeroes across the board suggests the floodmaw_counts CTE is returning no entries. Let me verify whether the card_id is correct and what entries exist.
The card exists in the database. Now let me check how many Blue Belcher entries in the date range have 2β3 copies of this card in the main deck.
52 entries with 2β3 copies. The issue is likely with how matches.entry_id links β let me check the match schema.
Matches exist. The issue earlier was the opponent_entry_id join. Let me now run the full correct matchup query.
Great data! Let me grab sources to cite.
Here's the full breakdown! Note that sample sizes on some matchups are small, so flag those accordingly.
52 qualifying entries (2β3 copies maindeck), 203 total matches across the top 20.
Overall W/L/D: 107β89β7 β 54.6% WR
| Opponent | W | L | D | Total | WR% |
|---|---|---|---|---|---|
| Ramp Eldrazi | 2 | 0 | 0 | 2 | 100% β οΈ |
| Goryo Reanimator | 1 | 0 | 0 | 1 | 100% β οΈ |
| Yawgmoth | 7 | 1 | 0 | 8 | 87.5% |
| Neobrand | 5 | 1 | 0 | 6 | 83.3% |
| Ruby Storm | 8 | 2 | 3 | 13 | 80.0% |
| Broodscale | 3 | 1 | 0 | 4 | 75.0% β οΈ |
| Living End | 4 | 2 | 0 | 6 | 66.7% |
| Azorius Control | 5 | 3 | 0 | 8 | 62.5% |
| Tron | 6 | 4 | 0 | 10 | 60.0% |
| Blue Belcher (mirror) | 6 | 4 | 0 | 10 | 60.0% |
| Boros Energy | 16 | 14 | 3 | 33 | 53.3% |
| Jeskai Blink | 12 | 11 | 0 | 23 | 52.2% |
| Esper Blink | 1 | 1 | 0 | 2 | 50.0% β οΈ |
| Amulet Titan | 4 | 4 | 0 | 8 | 50.0% |
| Grixis Reanimator | 2 | 3 | 0 | 5 | 40.0% β οΈ |
| Domain Zoo | 3 | 5 | 0 | 8 | 37.5% |
| Affinity | 4 | 10 | 0 | 14 | 28.6% |
| Simic Ritual | 1 | 4 | 0 | 5 | 20.0% β οΈ |
| Prowess | 0 | 6 | 0 | 6 | 0.0% |
| Izzet Cutter | 0 | 3 | 0 | 3 | 0.0% β οΈ |
β οΈ = Small sample size (<8 matches), treat with caution.
Key Takeaways:
Sources: Data from 128 Modern tournaments (JanβApr 2026); 74.2% MTGO, 25.8% Melee.