9-Max Eval: v4b postflop + equity teacher preflop + v9b range

## Config
- **Postflop**: gen5_postflop_v4b.safetensors (corr=0.641)
- **Preflop**: G47 equity teacher (no NN model — old preflop v1 incompatible with new BB-based action space)
- **Range**: range_v9b.safetensors
- **Date**: 2026-07-23
- **Setup**: 9-max, 3000 hands × 3 seeds per opponent, BB=1000

## Results (BB/100)

| Opponent | s42 | s200 | s1337 | AVG |
|----------|------|------|-------|-----|
| Fish | 571.5 | 601.2 | 458.2 | **+543.7** |
| Station | 165.8 | -3.5 | -165.6 | **-1.1** |
| Chump | 865.2 | 1260.8 | 834.1 | **+986.7** |
| Flock | 5.0 | -2.0 | 7.3 | **+3.4** |
| Gen3 | -4.7 | -1.6 | -5.2 | **-3.8** |
| Gen2 | -7.2 | -10.8 | 4.2 | **-4.6** |
| Tag | 0.7 | -7.7 | -3.5 | **-3.5** |
| Lag | 398.2 | 244.5 | -8.7 | **+211.4** |
| Nit | 3.7 | -2.3 | 2.9 | **+1.4** |
| Maniac | 158.1 | 65.2 | -21.1 | **+67.4** |

## Key Findings

1. **Flock FIXED**: +3.4 BB/100 (was -572 with v4a+preflop_v1). Removing the preflop NN model eliminated the exploitable preflop leaks.

2. **Station regression**: -1.1 BB/100 (concerning). The equity teacher is too tight/disciplined vs calling stations. A trained preflop NN that learns to open wider vs high-VPIP opponents should fix this.

3. **Break-even vs competent TAGs**: Gen3 -3.8, Gen2 -4.6, Tag -3.5. Since gen5_play uses the same equity teacher as Gen3 for preflop, these are essentially postflop-only comparisons (NN vs formula). The v4b NN postflop is NOT clearly better than the formula.

4. **Dominates weak opponents**: Chump +986.7, Fish +543.7, Lag +211.4, Maniac +67.4.

## Context
- This config has NO preflop NN model — the equity teacher handles all preflop decisions
- BB-based preflop action space implemented but not yet trained
- Preflop v3 training pending on self-play collection (sp_bb_v1, ~352K/1M hands collected)
- Feature stripping implemented: preflop model will use 429-dim input (was 459)

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