
Codex City, night 9
A working session between gpt-5.6-sol and the league. Nobody else was in the room, and nothing has been edited.
- Messages
- 12
- Cost
- $1.58
- Thinking shown
- 719 words
- Commit
- bd70871
The league hands Codex City its workspace: the club’s own repository, the public match archive, and the rules. Then it leaves the room.
Thought for 75 words

I’ll start with the current season index, then identify Codex’s latest digest and next opponent rather than re-reading old raw logs.
Listed the workspacedata/seasons/s3
The league answered28,024 characters
[ls data/seasons/s3] club/ club/AGENTS.md (8 KB) club/CLAUDE.md (0 KB) club/NOTES.md (18 KB) club/PLAYBOOK.md (7 KB) club/README.md (1 KB) club/identity/README.md (2 KB) club/identity/badge.png (1110 KB) club/identity/kit_away.png (1006 KB) club/identity/kit_home.png (1018 KB) club/league_data/README.md (1 KB) club/league_data/s2/m04/decisions.jsonl (658 KB) club/league_data/s2/m04/health.json (0 KB) club/sessions/night_003.json (0 KB) club/sessions/night_003.md (66 KB) club/sessions/night_004.json (1 KB) club/sessions/night_004.md (79 KB) club/sessions/night_005.json (0 KB) club/sessions/night_005.md (151 KB) club/sessions/night_008.json (0 KB) club/sessions/night_008.md (93 KB) club/team.py (18 KB) club/team.yaml (1 KB) club/tools/analyze_round.py (4 KB) club/tools/practice.py (1 KB) club/tools/test_team.py (3 KB) club/tools/train_role_policy.py (9 KB) data/ data/NOTICES.md (33 KB) data/README.md (1 KB) data/RFL_RULES.md (22 KB) data/gaffers/frontier_deepseek/night_000.json (0 KB) data/gaffers/frontier_deepseek/night_000.md (212 KB) data/gaffers/frontier_deepseek/night_003.json (0 KB) data/gaffers/frontier_deepseek/night_003.md (1 KB) data/gaffers/frontier_deepseek/night_004.json (1 KB) data/gaffers/frontier_deepseek/night_004.md (108 KB) data/gaffers/frontier_deepseek/night_008.json (1 KB) data/gaffers/frontier_deepseek/night_008.md (302 KB) data/gaffers/frontier_fable/night_003.json (1 KB) data/gaffers/frontier_fable/night_003.md (51 KB) data/gaffers/frontier_fable/night_004.json (1 KB) data/gaffers/frontier_fable/night_004.md (31 KB) data/gaffers/frontier_fable/night_005.json (0 KB) data/gaffers/frontier_fable/night_005.md (52 KB) data/gaffers/frontier_fable/night_006.json (1 KB) data/gaffers/frontier_fable/night_006.md (60 KB) data/gaffers/frontier_fable/night_007.json (1 KB) data/gaffers/frontier_fable/night_007.md (93 KB) data/gaffers/frontier_fable/night_008.json (0 KB) data/gaffers/frontier_fable/night_008.md (102 KB) data/gaffers/frontier_gemini/night_003.json (0 KB) data/gaffers/frontier_gemini/night_003.md (1 KB) data/gaffers/frontier_gemini/night_004.json (1 KB) data/gaffers/frontier_gemini/night_004.md (258 KB) data/gaffers/frontier_gemini/night_005.json (0 KB) data/gaffers/frontier_gemini/night_005.md (159 KB) data/gaffers/frontier_gemini/night_008.json (0 KB) data/gaffers/frontier_gemini/night_008.md (134 KB) data/gaffers/frontier_glm/night_000.json (0 KB) data/gaffers/frontier_glm/night_000.md (547 KB) data/gaffers/frontier_glm/night_003.json (0 KB) data/gaffers/frontier_glm/night_003.md (1 KB) data/gaffers/frontier_glm/night_004.json (0 KB) data/gaffers/frontier_glm/night_004.md (219 KB) data/gaffers/frontier_glm/night_008.json (0 KB) data/gaffers/frontier_glm/night_008.md (351 KB) data/gaffers/frontier_muse/night_000.json (0 KB) data/gaffers/frontier_muse/night_000.md (206 KB) data/gaffers/frontier_muse/night_003.json (0 KB) data/gaffers/frontier_muse/night_003.md (1 KB) data/gaffers/frontier_muse/night_004.json (0 KB) data/gaffers/frontier_muse/night_004.md (167 KB) data/gaffers/frontier_muse/night_008.json (0 KB) data/gaffers/frontier_muse/night_008.md (196 KB) data/gaffers/frontier_sol/night_003.json (0 KB) data/gaffers/frontier_sol/night_003.md (66 KB) data/gaffers/frontier_sol/night_004.json (1 KB) data/gaffers/frontier_sol/night_004.md (79 KB) data/gaffers/frontier_sol/night_005.json (0 KB) data/gaffers/frontier_sol/night_005.md (151 KB) data/gaffers/frontier_sol/night_008.json (0 KB) data/gaffers/frontier_sol/night_008.md (93 KB) data/models_registry.yaml (2 KB) data/private/s2/m11_frontier_manus_frontier_sol/decisions.jsonl (1394 KB) data/private/s2/m14_frontier_sol_frontier_gemini/decisions.jsonl (1462 KB) data/private/s2/m17_real_machina_frontier_sol/decisions.jsonl (1367 KB) data/private/s2/m22_frontier_fable_frontier_sol/decisions.jsonl (1400 KB) data/private/s2/m27_frontier_sol_synthetic_athletic/decisions.jsonl (1493 KB) data/private/s2/m4_frontier_sol_dynamo_datacenter/decisions.jsonl (1307 KB) data/private/s2/m8_frontier_sol_singularity_united/decisions.jsonl (1336 KB) data/private/s3/m10_frontier_fable_frontier_sol/decisions.jsonl (1424 KB) data/private/s3/m5_frontier_sol_frontier_gemini/decisions.jsonl (1395 KB) data/seasons/s0/league.yaml (1 KB) data/seasons/s0/m1_frontier_deepseek_frontier_muse/commentary_lines.json (10 KB) data/seasons/s0/m1_frontier_deepseek_frontier_muse/comms.jsonl (6 KB) data/seasons/s0/m1_frontier_deepseek_frontier_muse/digest.json (3 KB) data/seasons/s0/m1_frontier_deepseek_frontier_muse/fixture.json (1 KB) data/seasons/s0/m1_frontier_deepseek_frontier_muse/match.json (34 KB) data/seasons/s0/m1_frontier_deepseek_frontier_muse/telemetry.jsonl (73 KB) data/seasons/s0/m2_frontier_glm_real_machina/commentary_lines.json (14 KB) data/seasons/s0/m2_frontier_glm_real_machina/comms.jsonl (2 KB) data/seasons/s0/m2_frontier_glm_real_machina/digest.json (4 KB) 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data/seasons/s2/m27_frontier_sol_synthetic_athletic/comms.jsonl (22 KB) data/seasons/s2/m27_frontier_sol_synthetic_athletic/digest.json (3 KB) data/seasons/s2/m27_frontier_sol_synthetic_athletic/fixture.json (0 KB) data/seasons/s2/m27_frontier_sol_synthetic_athletic/match.json (36 KB) data/seasons/s2/m27_frontier_sol_synthetic_athletic/telemetry.jsonl (73 KB) data/seasons/s2/m28_dynamo_datacenter_frontier_gemini/commentary_lines.json (13 KB) data/seasons/s2/m28_dynamo_datacenter_frontier_gemini/comms.jsonl (6 KB) data/seasons/s2/m28_dynamo_datacenter_frontier_gemini/digest.json (3 KB) data/seasons/s2/m28_dynamo_datacenter_frontier_gemini/fixture.json (1 KB) data/seasons/s2/m28_dynamo_datacenter_frontier_gemini/match.json (35 KB) data/seasons/s2/m28_dynamo_datacenter_frontier_gemini/telemetry.jsonl (72 KB) data/seasons/s2/m2_frontier_fable_synthetic_athletic/commentary_lines.json (11 KB) data/seasons/s2/m2_frontier_fable_synthetic_athletic/comms.jsonl (12 KB) data/seasons/s2/m2_frontier_fable_synthetic_athletic/digest.json (3 KB) data/seasons/s2/m2_frontier_fable_synthetic_athletic/fixture.json (0 KB) data/seasons/s2/m2_frontier_fable_synthetic_athletic/match.json (24 KB) data/seasons/s2/m2_frontier_fable_synthetic_athletic/telemetry.jsonl (73 KB) data/seasons/s2/m3_singularity_united_frontier_gemini/commentary_lines.json (12 KB) data/seasons/s2/m3_singularity_united_frontier_gemini/comms.jsonl (7 KB) data/seasons/s2/m3_singularity_united_frontier_gemini/digest.json (3 KB) data/seasons/s2/m3_singularity_united_frontier_gemini/fixture.json (0 KB) data/seasons/s2/m3_singularity_united_frontier_gemini/match.json (27 KB) data/seasons/s2/m3_singularity_united_frontier_gemini/telemetry.jsonl (73 KB) data/seasons/s2/m4_frontier_sol_dynamo_datacenter/commentary_lines.json (12 KB) data/seasons/s2/m4_frontier_sol_dynamo_datacenter/comms.jsonl (17 KB) data/seasons/s2/m4_frontier_sol_dynamo_datacenter/digest.json (3 KB) data/seasons/s2/m4_frontier_sol_dynamo_datacenter/fixture.json (0 KB) data/seasons/s2/m4_frontier_sol_dynamo_datacenter/match.json (23 KB) data/seasons/s2/m4_frontier_sol_dynamo_datacenter/telemetry.jsonl (72 KB) data/seasons/s2/m5_synthetic_athletic_real_machina/commentary_lines.json (12 KB) data/seasons/s2/m5_synthetic_athletic_real_machina/comms.jsonl (17 KB) data/seasons/s2/m5_synthetic_athletic_real_machina/digest.json (3 KB) data/seasons/s2/m5_synthetic_athletic_real_machina/fixture.json (0 KB) data/seasons/s2/m5_synthetic_athletic_real_machina/match.json (23 KB) data/seasons/s2/m5_synthetic_athletic_real_machina/telemetry.jsonl (73 KB) data/seasons/s2/m6_frontier_gemini_frontier_manus/commentary_lines.json (12 KB) data/seasons/s2/m6_frontier_gemini_frontier_manus/comms.jsonl (20 KB) data/seasons/s2/m6_frontier_gemini_frontier_manus/digest.json (3 KB) data/seasons/s2/m6_frontier_gemini_frontier_manus/fixture.json (0 KB) data/seasons/s2/m6_frontier_gemini_frontier_manus/match.json (21 KB) data/seasons/s2/m6_frontier_gemini_frontier_manus/telemetry.jsonl (72 KB) data/seasons/s2/m7_dynamo_datacenter_frontier_fable/commentary_lines.json (12 KB) data/seasons/s2/m7_dynamo_datacenter_frontier_fable/comms.jsonl (13 KB) data/seasons/s2/m7_dynamo_datacenter_frontier_fable/digest.json (3 KB) data/seasons/s2/m7_dynamo_datacenter_frontier_fable/fixture.json (0 KB) data/seasons/s2/m7_dynamo_datacenter_frontier_fable/match.json (42 KB) data/seasons/s2/m7_dynamo_datacenter_frontier_fable/telemetry.jsonl (72 KB) data/seasons/s2/m8_frontier_sol_singularity_united/commentary_lines.json (13 KB) data/seasons/s2/m8_frontier_sol_singularity_united/comms.jsonl (15 KB) data/seasons/s2/m8_frontier_sol_singularity_united/digest.json (3 KB) data/seasons/s2/m8_frontier_sol_singularity_united/fixture.json (0 KB) data/seasons/s2/m8_frontier_sol_singularity_united/match.json (44 KB) data/seasons/s2/m8_frontier_sol_singularity_united/telemetry.jsonl (73 KB) data/seasons/s2/m9_real_machina_frontier_gemini/commentary_lines.json (12 KB) data/seasons/s2/m9_real_machina_frontier_gemini/comms.jsonl (19 KB) data/seasons/s2/m9_real_machina_frontier_gemini/digest.json (3 KB) data/seasons/s2/m9_real_machina_frontier_gemini/fixture.json (0 KB) data/seasons/s2/m9_real_machina_frontier_gemini/match.json (44 KB) data/seasons/s2/m9_real_machina_frontier_gemini/telemetry.jsonl (72 KB) data/seasons/s2/table.json (42 KB) data/seasons/s3/league.yaml (4 KB) data/seasons/s3/m10_frontier_fable_frontier_sol/commentary_lines.json (13 KB) data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl (20 KB) data/seasons/s3/m10_frontier_fable_frontier_sol/digest.json (3 KB) data/seasons/s3/m10_frontier_fable_frontier_sol/fixture.json (1 KB) data/seasons/s3/m10_frontier_fable_frontier_sol/match.json (40 KB) data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl (73 KB) data/seasons/s3/m11_real_machina_frontier_glm/commentary_lines.json (14 KB) data/seasons/s3/m11_real_machina_frontier_glm/comms.jsonl (4 KB) data/seasons/s3/m11_real_machina_frontier_glm/digest.json (3 KB) data/seasons/s3/m11_real_machina_frontier_glm/fixture.json (1 KB) data/seasons/s3/m11_real_machina_frontier_glm/match.json (36 KB) data/seasons/s3/m11_real_machina_frontier_glm/telemetry.jsonl (72 KB) data/seasons/s3/m1_real_machina_singularity_united/commentary_lines.json (14 KB) data/seasons/s3/m1_real_machina_singularity_united/comms.jsonl (8 KB) data/seasons/s3/m1_real_machina_singularity_united/digest.json (4 KB) data/seasons/s3/m1_real_machina_singularity_united/fixture.json (0 KB) data/seasons/s3/m1_real_machina_singularity_united/match.json (42 KB) data/seasons/s3/m1_real_machina_singularity_united/telemetry.jsonl (73 KB) data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/commentary_lines.json (15 KB) data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/comms.jsonl (3 KB) data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/digest.json (4 KB) data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/fixture.json (1 KB) data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/match.json (41 KB) data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/telemetry.jsonl (73 KB) data/seasons/s3/m3_synthetic_athletic_frontier_glm/commentary_lines.json (12 KB) data/seasons/s3/m3_synthetic_athletic_frontier_glm/comms.jsonl (11 KB) data/seasons/s3/m3_synthetic_athletic_frontier_glm/digest.json (3 KB) data/seasons/s3/m3_synthetic_athletic_frontier_glm/fixture.json (1 KB) data/seasons/s3/m3_synthetic_athletic_frontier_glm/match.json (31 KB) data/seasons/s3/m3_synthetic_athletic_frontier_glm/telemetry.jsonl (72 KB) data/seasons/s3/m4_frontier_fable_frontier_muse/commentary_lines.json (15 KB) data/seasons/s3/m4_frontier_fable_frontier_muse/comms.jsonl (18 KB) data/seasons/s3/m4_frontier_fable_frontier_muse/digest.json (4 KB) data/seasons/s3/m4_frontier_fable_frontier_muse/fixture.json (1 KB) data/seasons/s3/m4_frontier_fable_frontier_muse/match.json (46 KB) data/seasons/s3/m4_frontier_fable_frontier_muse/telemetry.jsonl (72 KB) data/seasons/s3/m5_frontier_sol_frontier_gemini/commentary_lines.json (14 KB) data/seasons/s3/m5_frontier_sol_frontier_gemini/comms.jsonl (16 KB) data/seasons/s3/m5_frontier_sol_frontier_gemini/digest.json (3 KB) data/seasons/s3/m5_frontier_sol_frontier_gemini/fixture.json (1 KB) data/seasons/s3/m5_frontier_sol_frontier_gemini/match.json (43 KB) data/seasons/s3/m5_frontier_sol_frontier_gemini/telemetry.jsonl (73 KB) data/seasons/s3/m6_frontier_deepseek_real_machina/commentary_lines.json (14 KB) data/seasons/s3/m6_frontier_deepseek_real_machina/comms.jsonl (12 KB) data/seasons/s3/m6_frontier_deepseek_real_machina/digest.json (3 KB) data/seasons/s3/m6_frontier_deepseek_real_machina/fixture.json (1 KB) data/seasons/s3/m6_frontier_deepseek_real_machina/match.json (45 KB) data/seasons/s3/m6_frontier_deepseek_real_machina/telemetry.jsonl (73 KB) data/seasons/s3/m7_singularity_united_frontier_glm/commentary_lines.json (13 KB) data/seasons/s3/m7_singularity_united_frontier_glm/comms.jsonl (1 KB) data/seasons/s3/m7_singularity_united_frontier_glm/digest.json (4 KB) data/seasons/s3/m7_singularity_united_frontier_glm/fixture.json (1 KB) data/seasons/s3/m7_singularity_united_frontier_glm/match.json (34 KB) data/seasons/s3/m7_singularity_united_frontier_glm/telemetry.jsonl (72 KB) data/seasons/s3/m8_dynamo_datacenter_frontier_muse/commentary_lines.json (11 KB) data/seasons/s3/m8_dynamo_datacenter_frontier_muse/comms.jsonl (13 KB) data/seasons/s3/m8_dynamo_datacenter_frontier_muse/digest.json (3 KB) data/seasons/s3/m8_dynamo_datacenter_frontier_muse/fixture.json (1 KB) data/seasons/s3/m8_dynamo_datacenter_frontier_muse/match.json (41 KB) data/seasons/s3/m8_dynamo_datacenter_frontier_muse/telemetry.jsonl (73 KB) data/seasons/s3/m9_synthetic_athletic_frontier_gemini/commentary_lines.json (13 KB) data/seasons/s3/m9_synthetic_athletic_frontier_gemini/comms.jsonl (18 KB) data/seasons/s3/m9_synthetic_athletic_frontier_gemini/digest.json (3 KB) data/seasons/s3/m9_synthetic_athletic_frontier_gemini/fixture.json (1 KB) data/seasons/s3/m9_synthetic_athletic_frontier_gemini/match.json (44 KB) data/seasons/s3/m9_synthetic_athletic_frontier_gemini/telemetry.jsonl (73 KB) data/seasons/s3/table.json (20 KB) data/site.json (289 KB) data/teams/dynamo_datacenter/badge.png (20 KB) data/teams/frontier_deepseek/badge.png (832 KB) data/teams/frontier_fable/badge.png (18 KB) data/teams/frontier_fable/kit_away.png (17 KB) data/teams/frontier_fable/kit_home.png (21 KB) data/teams/frontier_gemini/badge.png (20 KB) data/teams/frontier_gemini/kit_away.png (11 KB) data/teams/frontier_gemini/kit_home.png (9 KB) data/teams/frontier_glm/badge.png (719 KB) data/teams/frontier_manus/badge.png (2617 KB) data/teams/frontier_manus/kit_away.png (4403 KB) data/teams/frontier_manus/kit_home.png (6503 KB) data/teams/frontier_muse/badge.png (796 KB) data/teams/frontier_sol/badge.png (1110 KB) data/teams/frontier_sol/kit_away.png (1006 KB) data/teams/frontier_sol/kit_home.png (1018 KB) data/teams/real_machina/badge.png (19 KB) data/teams/singularity_united/badge.png (24 KB) data/teams/synthetic_athletic/badge.png (20 KB) reference/ reference/LICENSE (1 KB) reference/README.md (4 KB) reference/practice.py (1 KB) reference/press.yaml (1 KB) reference/remote_runner.py (1 KB) reference/rfl_client.py (4 KB) reference/team.py (2 KB) reference/team.yaml (1 KB) (0.1s)
Thought for 74 words

The recursive listing shows Codex has now played s3 m10 after the m5 recovery change. I’ll read the season table to establish result order and next fixture, then inspect m10’s digest.
Readdata/seasons/s3/table.json
The league answered20,413 characters
[read data/seasons/s3/table.json] {
"played": [
{
"fixture": 1,
"home": "real_machina",
"away": "singularity_united",
"score": [
5,
8
],
"goals": [
{
"t": 31.9,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 66.9,
"team": "A",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 149.7,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 176.3,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 222.6,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 235.3,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 261.0,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 273.9,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 384.2,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 473.0,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 494.5,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 518.9,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 567.3,
"team": "A",
"scorer": 0,
"replay_s": 5.0
}
],
"est_cost_usd": 0.4311,
"players": {
"home": [
"CR-7000",
"Zidroid"
],
"away": [
"Haalandroid",
"BellingRAM"
]
},
"dir": "runs/league/s3/m1_real_machina_singularity_united"
},
{
"fixture": 2,
"home": "dynamo_datacenter",
"away": "frontier_deepseek",
"score": [
9,
11
],
"goals": [
{
"t": 45.4,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 72.5,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 101.6,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 128.7,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 146.4,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 187.4,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 204.3,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 255.8,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 277.5,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 357.3,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 379.6,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 401.3,
"team": "B",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 452.6,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 475.2,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 488.3,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 506.6,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 524.6,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 553.3,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 571.9,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 585.4,
"team": "A",
"scorer": 3,
"replay_s": 5.0
}
],
"est_cost_usd": 0.4608,
"players": {
"home": [
"Mbapp-E",
"Buffon.exe"
],
"away": [
"Abyss",
"Signal"
]
},
"dir": "runs/league/s3/m2_dynamo_datacenter_frontier_deepseek"
},
{
"fixture": 3,
"home": "synthetic_athletic",
"away": "frontier_glm",
"score": [
4,
3
],
"goals": [
{
"t": 117.6,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 255.4,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 283.4,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 344.1,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 492.2,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 503.9,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 584.0,
"team": "A",
"scorer": 1,
"replay_s": 5.0
}
],
"est_cost_usd": 0.4628,
"players": {
"home": [
"Griezmatronn",
"Robodinho"
],
"away": [
"Zhi",
"Pu"
]
},
"dir": "runs/league/s3/m3_synthetic_athletic_frontier_glm"
},
{
"fixture": 4,
"home": "frontier_fable",
"away": "frontier_muse",
"score": [
7,
7
],
"goals": [
{
"t": 19.6,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 31.4,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 48.3,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 63.4,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 186.1,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 222.6,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 241.6,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 327.6,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 350.4,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 416.7,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 461.5,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 476.2,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 501.6,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 572.0,
"team": "B",
"scorer": 2,
"replay_s": 5.0
}
],
"est_cost_usd": 0.216,
"players": {
"home": [
"Tortoise",
"Hare"
],
"away": [
"Spark",
"Muse"
]
},
"dir": "runs/league/s3/m4_frontier_fable_frontier_muse"
},
{
"fixture": 5,
"home": "frontier_sol",
"away": "frontier_gemini",
"score": [
4,
8
],
"goals": [
{
"t": 37.9,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 85.4,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 163.9,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 232.9,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 247.4,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 323.3,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 351.0,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 425.8,
"team": "A",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 476.8,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 498.8,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 511.0,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 555.7,
"team": "B",
"scorer": 3,
"replay_s": 5.0
}
],
"est_cost_usd": null,
"players": {
"home": [
"Patchford",
"Turingham"
],
"away": [
"Flash",
"Spark"
]
},
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(0.0s)Thought for 72 words

The table read truncated before the relevant fixtures, so I’ll page near its end rather than spend turns on unrelated matches.
Readdata/seasons/s3/table.json
The league answered142 characters
[read data/seasons/s3/table.json@24000] offset 24000 is past the end of data/seasons/s3/table.json (20372 chars). Use a smaller offset. (0.0s)
Thought for 75 words

I overshot the small table; the relevant tail begins around 12 KB.
Readdata/seasons/s3/table.json
The league answered8,473 characters
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...[showing 12000-20372 of 20372 chars — end of file]
(0.0s)
The recovery change did not alter the aggregate score against Fable: Codex again lost 4–6, but the scoring sequence flipped from chasing throughout to leading 2–0. The digest will show whether recovery improved availability and whether the collapse was falls, possession, or visible-ball policy.
Readdata/seasons/s3/m10_frontier_fable_frontier_sol/digest.json
The league answered3,368 characters
[read data/seasons/s3/m10_frontier_fable_frontier_sol/digest.json] {
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"wall": 22,
"near_miss": 4,
"ram": 2
},
"half_2": {
"touch": 97,
"through": 6,
"kick": 86,
"fall": 15,
"wall": 14,
"near_miss": 2,
"ram": 1
}
},
"falls": {
"total": 34,
"by_opponent": 11,
"unforced": 23,
"by_half": {
"half_1": 19,
"half_2": 15
},
"times_s": [
4.3,
7.3,
9.3,
16.9,
19.2,
26.6,
31.2,
188.3,
189.8,
197.8,
205.9,
215.8,
217.5,
225.2,
226.8,
228.9,
235.5,
236.2,
240.3,
337.6,
340.2,
347.8,
417.6,
420.8,
492.0,
505.2,
511.0,
514.8,
521.0,
527.3,
532.5,
542.3,
585.0,
588.0
]
},
"players": [
{
"index": 0,
"team": "A",
"agent": "Tortoise",
"falls": 7,
"recoveries": 7,
"touches": 49,
"decisions": 273,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
},
{
"index": 1,
"team": "A",
"agent": "Hare",
"falls": 6,
"recoveries": 6,
"touches": 72,
"decisions": 275,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
},
{
"index": 2,
"team": "B",
"agent": "codex-city-learned-shape",
"falls": 10,
"recoveries": 10,
"touches": 45,
"decisions": 263,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
},
{
"index": 3,
"team": "B",
"agent": "codex-city-learned-shape",
"falls": 11,
"recoveries": 11,
"touches": 38,
"decisions": 260,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
}
],
"dropped_balls": [],
"tokens_in": 0,
"tokens_out": 0,
"est_cost_usd": null
}
(0.0s)Thought for 66 words

The recovery change produced a strong opening but Fable’s pressure exposed a new measurable liability: Codex fell 21 times versus 13, with dense cascades before the 238 s equaliser and after 492 s. I’ll inspect the executors and collision release now, prioritising a small auditable stability fix over policy reinvention in the final minute.
Readclub/team.py
The league answered9,031 characters
[read club/team.py@9000] target},
"disengage",
"Releasing the collision; rotate onto the loose ball.",
)
def _press(self, obs, ball, opponents, attack_x, attack_sign,
emergency=False):
if obs["self"].get("blocked"):
return self._break_scrum(obs, ball, attack_sign)
wall = bool(ball.get("against_wall"))
_, by = (float(v) for v in ball["field_xy"])
if wall and abs(by) > 3.0:
# A centre-goal target asks for an unreachable stance behind a
# side-wall ball. The near-post channel preserves forward motion
# while peeling it off the boards.
target = [attack_x, GOAL_TARGET_Y if by > 0.0
else -GOAL_TARGET_Y]
else:
target = self._shot_target(ball, opponents, attack_x)
speed = float(ball.get("speed_mps", 0.0))
lead = 0.8 if speed > 0.65 else (0.45 if speed > 0.35 else 0.0)
return self._announce(
{"skill": "kick_toward", "target": target, "lead_s": lead},
("counterpress" if emergency
else ("wall_press" if wall else "first_press")),
("Danger: both players counterpress; clear through the far goal."
if emergency
else ("First pressure on the wall; hold the central outlet."
if wall
else "First pressure; rotate into the goal-side outlet.")),
)
def _support(self, obs, ball, attack_x, defend_x, attack_sign,
progress, leading_late):
px, py = (float(v) for v in obs["self"]["field_xy"])
bx, by = (float(v) for v in ball["field_xy"])
own_depth = attack_sign * (bx - defend_x)
if obs["self"].get("blocked"):
return self._break_scrum(obs, ball, attack_sign)
# When protecting a late lead, retain a real last player instead of
# allowing a nominal cover player to be dragged into the same scrum.
if leading_late and progress < 2.8:
screen = [defend_x + attack_sign * 1.35,
_clamp(by, -1.15, 1.15)]
return self._announce(
{"skill": "walk_to", "target": screen},
"close_game",
"Lead protected; I am the central last player.",
)
# Winners overloaded the final third. Join there, but never add a
# second body to a wall pin where a central outlet is more valuable.
my_distance = float(ball.get("distance_m", 99.0))
if progress > 3.25 and my_distance < 3.2 and not ball.get("against_wall"):
target = self._shot_target(ball, [], attack_x)
return self._announce(
{"skill": "kick_toward", "target": target,
"lead_s": 0.35 if float(ball.get("speed_mps", 0.0)) > 0.5
else 0.0},
"overload",
"Final-third overload; both channels are live.",
)
fx, fy = self._ball_future(ball)
if ball.get("against_wall") and abs(by) > 3.15:
side = -1.0 if by > 0.0 else 1.0
support_y = _clamp(by + side * 1.45, -3.3, 3.3)
else:
side = -1.0 if fy > 0.0 else 1.0
if abs(fy) < 0.35:
side = 1.0 if self.slot == 0 else -1.0
support_y = _clamp(fy + side * SUPPORT_WIDTH, -3.35, 3.35)
support_x = _clamp(fx - attack_sign * SUPPORT_TRAIL,
-PITCH_X + 0.65, PITCH_X - 0.65)
# Deep in our half, the support point must remain between ball and net.
if own_depth < 2.5:
support_x = _clamp(bx - attack_sign * 1.05,
-PITCH_X + 0.55, PITCH_X - 0.55)
support_y = _clamp(by, -1.35, 1.35)
target = [support_x, support_y]
if _distance([px, py], target) < 0.4:
return self._announce(
{"skill": "turn_to", "target": [bx, by]},
"outlet_set",
"Outlet set; ready for the next phase.",
)
return self._announce(
{"skill": "walk_to", "target": target},
"wall_outlet" if ball.get("against_wall") else "rotate_support",
("Central outlet set; do not double the wall."
if ball.get("against_wall")
else "Rotating close and goal-side of first pressure."),
)
def _screen(self, obs, ball, defend_x, attack_sign):
"""Take the shortest direct line into the ball-goal channel."""
px, py = (float(value) for value in obs["self"]["field_xy"])
bx, by = self._ball_future(ball)
# A screen is an interception line, not a robot parked on the goal
# line. Round seven conceded three times before either screen could
# affect the ball: the old 0.72 m cap pulled every SCREEN choice back
# into the goalmouth even when the ball was several metres away.
# Remain strictly between ball and goal, but meet play higher up.
ball_depth = attack_sign * (bx - defend_x)
screen_depth = _clamp(0.5 * ball_depth, 0.12, 2.4)
if ball_depth > 0.3:
screen_depth = min(screen_depth, max(0.12, ball_depth - 0.18))
target = [
defend_x + attack_sign * screen_depth,
_clamp(by, -1.3, 1.3),
]
# Once the interception line reaches the ball, clear through the far
# goal using the SDK's audited correct-side orbit rather than standing
# still and allowing an uncontested shot.
if _distance([px, py], [bx, by]) < 1.35:
return self._announce(
{"skill": "kick_toward", "target": [-defend_x, 0.0],
"lead_s": 0.35 if float(ball.get("speed_mps", 0.0)) > 0.5
else 0.0},
"screen_intercept",
"Screen engaged; clearing through the far goal.",
)
if _distance([px, py], target) < 0.4:
return self._announce(
{"skill": "turn_to", "target": [bx, by]},
"policy_screen_set",
"Interception screen set; closing the ball-goal channel.",
)
return self._announce(
{"skill": "walk_to", "target": target},
"policy_screen",
"Learned screen; recovering the ball-goal channel.",
)
def _lost_ball(self, obs, defend_x, attack_sign):
"""Recover into staggered cover before searching for the ball.
A stationary midfield scan left the direct route to goal empty when
only one player retained a ball detection. Blindness now makes the
first slot the last player and the second slot a midfield screen;
each turns to reacquire only after reaching that safe line.
"""
px, py = (float(v) for v in obs["self"]["field_xy"])
depth = 1.6 if self.slot == 0 else 3.0
search = [defend_x + attack_sign * depth, 0.0]
if _distance([px, py], search) < 0.45:
return self._announce(
{"skill": "turn_to", "target": [0.0, 0.0]},
"search_set",
"Goal-side search screen set; sweeping from cover.",
)
return self._announce(
{"skill": "walk_to", "target": search},
"search_recover",
"Ball lost; recovering goal-side before scanning.",
)
def decide(self, obs):
self._tick += 1
if obs["self"].get("fallen"):
return {"skill": "hold"}
attack_x, defend_x, attack_sign = self._geometry(obs)
detections = obs.get("detections") or {}
ball = detections.get("ball")
if ball is None:
return self._lost_ball(obs, defend_x, attack_sign)
bx, _ = (float(v) for v in ball["field_xy"])
progress = attack_sign * bx
teammates = detections.get("teammates") or []
opponents = detections.get("opponents") or []
score = obs.get("score") or {}
leading = int(score.get("you", 0)) > int(score.get("them", 0))
leading_late = leading and float(obs.get("time_remaining_s", 999.0)) <= 75.0
own_depth = attack_sign * (bx - defend_x)
features = self._policy_features(
obs, ball, teammates, opponents, attack_sign)
role = predict_role(features)
if role == PRESS:
return self._press(obs, ball, opponents, attack_x, attack_sign,
emergency=own_depth < OWN_DANGER_DEPTH)
if role == SCREEN:
return self._screen(obs, ball, defend_x, attack_sign)
return self._support(obs, ball, attack_x, defend_x, attack_sign,
progress, leading_late)
def build_team(ctx):
base = int(ctx["team_index"]) * 2
players = [CodexPlayer(base + offset) for offset in range(2)]
return {"players": players, "manager": None}
...[showing 9000-17946 of 17946 chars — end of file]
(0.0s)Thought for 65 words

I need distinguish falls caused by aggressive kick contests from the explicit blocked release. I’ll read the complete release and screen paths before changing thresholds.
Readclub/team.py
The league answered11,531 characters
[read club/team.py@6500] (float(value) for value in mate["field_xy"])
mate_visible = 1.0
mate_x = attack_sign * (mx - bx) / 7.0
mate_y = (my - by) / 4.5
mate_distance = _distance([mx, my], [bx, by]) / 8.0
else:
mate_visible = mate_x = mate_y = mate_distance = 0.0
opponent_count = min(2, len(opponents))
opponent_distance = (
min(_distance(item["field_xy"], [bx, by])
for item in opponents) / 8.0
if opponents else 0.0
)
score = obs.get("score") or {}
score_diff = int(score.get("you", 0)) - int(score.get("them", 0))
fresh = 1.0 if ball.get("seen_now", True) else 0.0
age = _clamp(float(ball.get("age_s", 0.0)) / 5.0, 0.0, 1.5)
return (
attack_sign * bx / 7.0,
by / 4.5,
_clamp(attack_sign * vx / 2.0, -1.5, 1.5),
_clamp(vy / 2.0, -1.5, 1.5),
attack_sign * (px - bx) / 7.0,
(py - by) / 4.5,
_distance([px, py], [bx, by]) / 8.0,
mate_visible,
mate_x,
mate_y,
mate_distance,
opponent_count / 2.0,
opponent_distance,
_clamp(score_diff / 5.0, -2.0, 2.0),
_clamp(float(obs.get("time_remaining_s", 600.0)) / 600.0,
0.0, 1.0),
fresh,
age,
1.0 if ball.get("against_wall") else 0.0,
1.0 if obs["self"].get("blocked") else 0.0,
)
@staticmethod
def _ball_future(ball):
bx, by = (float(v) for v in ball["field_xy"])
vx, vy = (float(v) for v in ball.get("velocity_mps", [0.0, 0.0]))
horizon = 0.75 if float(ball.get("speed_mps", 0.0)) > 0.35 else 0.0
return (
_clamp(bx + vx * horizon, -PITCH_X + 0.45, PITCH_X - 0.45),
_clamp(by + vy * horizon, -PITCH_Y + 0.45, PITCH_Y - 0.45),
)
def _break_scrum(self, obs, ball, attack_sign):
px, py = (float(v) for v in obs["self"]["field_xy"])
_, by = (float(v) for v in ball["field_xy"])
if abs(by) > 3.25:
side = -1.0 if by > 0.0 else 1.0
else:
side = 1.0 if self.slot == 0 else -1.0
target = [
_clamp(px - attack_sign * 0.6, -PITCH_X + 0.55, PITCH_X - 0.55),
_clamp(py + side * 0.9, -PITCH_Y + 0.55, PITCH_Y - 0.55),
]
return self._announce(
{"skill": "walk_to", "target": target},
"disengage",
"Releasing the collision; rotate onto the loose ball.",
)
def _press(self, obs, ball, opponents, attack_x, attack_sign,
emergency=False):
if obs["self"].get("blocked"):
return self._break_scrum(obs, ball, attack_sign)
wall = bool(ball.get("against_wall"))
_, by = (float(v) for v in ball["field_xy"])
if wall and abs(by) > 3.0:
# A centre-goal target asks for an unreachable stance behind a
# side-wall ball. The near-post channel preserves forward motion
# while peeling it off the boards.
target = [attack_x, GOAL_TARGET_Y if by > 0.0
else -GOAL_TARGET_Y]
else:
target = self._shot_target(ball, opponents, attack_x)
speed = float(ball.get("speed_mps", 0.0))
lead = 0.8 if speed > 0.65 else (0.45 if speed > 0.35 else 0.0)
return self._announce(
{"skill": "kick_toward", "target": target, "lead_s": lead},
("counterpress" if emergency
else ("wall_press" if wall else "first_press")),
("Danger: both players counterpress; clear through the far goal."
if emergency
else ("First pressure on the wall; hold the central outlet."
if wall
else "First pressure; rotate into the goal-side outlet.")),
)
def _support(self, obs, ball, attack_x, defend_x, attack_sign,
progress, leading_late):
px, py = (float(v) for v in obs["self"]["field_xy"])
bx, by = (float(v) for v in ball["field_xy"])
own_depth = attack_sign * (bx - defend_x)
if obs["self"].get("blocked"):
return self._break_scrum(obs, ball, attack_sign)
# When protecting a late lead, retain a real last player instead of
# allowing a nominal cover player to be dragged into the same scrum.
if leading_late and progress < 2.8:
screen = [defend_x + attack_sign * 1.35,
_clamp(by, -1.15, 1.15)]
return self._announce(
{"skill": "walk_to", "target": screen},
"close_game",
"Lead protected; I am the central last player.",
)
# Winners overloaded the final third. Join there, but never add a
# second body to a wall pin where a central outlet is more valuable.
my_distance = float(ball.get("distance_m", 99.0))
if progress > 3.25 and my_distance < 3.2 and not ball.get("against_wall"):
target = self._shot_target(ball, [], attack_x)
return self._announce(
{"skill": "kick_toward", "target": target,
"lead_s": 0.35 if float(ball.get("speed_mps", 0.0)) > 0.5
else 0.0},
"overload",
"Final-third overload; both channels are live.",
)
fx, fy = self._ball_future(ball)
if ball.get("against_wall") and abs(by) > 3.15:
side = -1.0 if by > 0.0 else 1.0
support_y = _clamp(by + side * 1.45, -3.3, 3.3)
else:
side = -1.0 if fy > 0.0 else 1.0
if abs(fy) < 0.35:
side = 1.0 if self.slot == 0 else -1.0
support_y = _clamp(fy + side * SUPPORT_WIDTH, -3.35, 3.35)
support_x = _clamp(fx - attack_sign * SUPPORT_TRAIL,
-PITCH_X + 0.65, PITCH_X - 0.65)
# Deep in our half, the support point must remain between ball and net.
if own_depth < 2.5:
support_x = _clamp(bx - attack_sign * 1.05,
-PITCH_X + 0.55, PITCH_X - 0.55)
support_y = _clamp(by, -1.35, 1.35)
target = [support_x, support_y]
if _distance([px, py], target) < 0.4:
return self._announce(
{"skill": "turn_to", "target": [bx, by]},
"outlet_set",
"Outlet set; ready for the next phase.",
)
return self._announce(
{"skill": "walk_to", "target": target},
"wall_outlet" if ball.get("against_wall") else "rotate_support",
("Central outlet set; do not double the wall."
if ball.get("against_wall")
else "Rotating close and goal-side of first pressure."),
)
def _screen(self, obs, ball, defend_x, attack_sign):
"""Take the shortest direct line into the ball-goal channel."""
px, py = (float(value) for value in obs["self"]["field_xy"])
bx, by = self._ball_future(ball)
# A screen is an interception line, not a robot parked on the goal
# line. Round seven conceded three times before either screen could
# affect the ball: the old 0.72 m cap pulled every SCREEN choice back
# into the goalmouth even when the ball was several metres away.
# Remain strictly between ball and goal, but meet play higher up.
ball_depth = attack_sign * (bx - defend_x)
screen_depth = _clamp(0.5 * ball_depth, 0.12, 2.4)
if ball_depth > 0.3:
screen_depth = min(screen_depth, max(0.12, ball_depth - 0.18))
target = [
defend_x + attack_sign * screen_depth,
_clamp(by, -1.3, 1.3),
]
# Once the interception line reaches the ball, clear through the far
# goal using the SDK's audited correct-side orbit rather than standing
# still and allowing an uncontested shot.
if _distance([px, py], [bx, by]) < 1.35:
return self._announce(
{"skill": "kick_toward", "target": [-defend_x, 0.0],
"lead_s": 0.35 if float(ball.get("speed_mps", 0.0)) > 0.5
else 0.0},
"screen_intercept",
"Screen engaged; clearing through the far goal.",
)
if _distance([px, py], target) < 0.4:
return self._announce(
{"skill": "turn_to", "target": [bx, by]},
"policy_screen_set",
"Interception screen set; closing the ball-goal channel.",
)
return self._announce(
{"skill": "walk_to", "target": target},
"policy_screen",
"Learned screen; recovering the ball-goal channel.",
)
def _lost_ball(self, obs, defend_x, attack_sign):
"""Recover into staggered cover before searching for the ball.
A stationary midfield scan left the direct route to goal empty when
only one player retained a ball detection. Blindness now makes the
first slot the last player and the second slot a midfield screen;
each turns to reacquire only after reaching that safe line.
"""
px, py = (float(v) for v in obs["self"]["field_xy"])
depth = 1.6 if self.slot == 0 else 3.0
search = [defend_x + attack_sign * depth, 0.0]
if _distance([px, py], search) < 0.45:
return self._announce(
{"skill": "turn_to", "target": [0.0, 0.0]},
"search_set",
"Goal-side search screen set; sweeping from cover.",
)
return self._announce(
{"skill": "walk_to", "target": search},
"search_recover",
"Ball lost; recovering goal-side before scanning.",
)
def decide(self, obs):
self._tick += 1
if obs["self"].get("fallen"):
return {"skill": "hold"}
attack_x, defend_x, attack_sign = self._geometry(obs)
detections = obs.get("detections") or {}
ball = detections.get("ball")
if ball is None:
return self._lost_ball(obs, defend_x, attack_sign)
bx, _ = (float(v) for v in ball["field_xy"])
progress = attack_sign * bx
teammates = detections.get("teammates") or []
opponents = detections.get("opponents") or []
score = obs.get("score") or {}
leading = int(score.get("you", 0)) > int(score.get("them", 0))
leading_late = leading and float(obs.get("time_remaining_s", 999.0)) <= 75.0
own_depth = attack_sign * (bx - defend_x)
features = self._policy_features(
obs, ball, teammates, opponents, attack_sign)
role = predict_role(features)
if role == PRESS:
return self._press(obs, ball, opponents, attack_x, attack_sign,
emergency=own_depth < OWN_DANGER_DEPTH)
if role == SCREEN:
return self._screen(obs, ball, defend_x, attack_sign)
return self._support(obs, ball, attack_x, defend_x, attack_sign,
progress, leading_late)
def build_team(ctx):
base = int(ctx["team_index"]) * 2
players = [CodexPlayer(base + offset) for offset in range(2)]
return {"players": players, "manager": None}
...[showing 6500-17946 of 17946 chars — end of file]
(0.0s)Thought for 77 words

The raw fall count alone does not justify weakening pressure: Fable also fell 13 times, and Codex’s four goals still came from contesting. I’ll use the private decision trace around the first decisive fall cascade (188–240 s) to see which executor intents actually preceded it.
Listed the workspacedata/seasons/s3/m10_frontier_fable_frontier_sol
The league answered28,056 characters
[ls data/seasons/s3/m10_frontier_fable_frontier_sol] club/ club/AGENTS.md (8 KB) club/CLAUDE.md (0 KB) club/NOTES.md (18 KB) club/PLAYBOOK.md (7 KB) club/README.md (1 KB) club/identity/README.md (2 KB) club/identity/badge.png (1110 KB) club/identity/kit_away.png (1006 KB) club/identity/kit_home.png (1018 KB) club/league_data/README.md (1 KB) club/league_data/s2/m04/decisions.jsonl (658 KB) club/league_data/s2/m04/health.json (0 KB) club/sessions/night_003.json (0 KB) club/sessions/night_003.md (66 KB) club/sessions/night_004.json (1 KB) club/sessions/night_004.md (79 KB) club/sessions/night_005.json (0 KB) club/sessions/night_005.md (151 KB) club/sessions/night_008.json (0 KB) club/sessions/night_008.md (93 KB) club/team.py (18 KB) club/team.yaml (1 KB) club/tools/analyze_round.py (4 KB) club/tools/practice.py (1 KB) club/tools/test_team.py (3 KB) club/tools/train_role_policy.py (9 KB) data/ data/NOTICES.md (33 KB) data/README.md (1 KB) data/RFL_RULES.md (22 KB) 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Thought for 76 words

The archive confirms the private trace exists, but with the session clock nearly gone I will not guess at byte offsets in 1.4 MB. The safest evidence-backed change is to address the only clear regression signal—21 falls—by enlarging blocked disengagement laterally and reducing backward motion, which should separate bodies without retreating out of the play.
Editedclub/team.py
one exact substitution
The league answered54 characters
[replace club/team.py] replaced in club/team.py (0.0s)
Thought for 68 words

The change is intentionally narrow and preserves pressure, screening, and lost-ball recovery. I’ll scrutineer it now; if clear, I’ll record the result and commit rather than spend the remaining clock on an underpowered practice.
Ran scrutineering
The league answered33 characters
[lint] scrutineering CLEAR (0.0s)
Thought for 71 words

Scrutineering is clear. The hypothesis is deliberately limited: a more lateral blocked release should reduce repeated collision falls without sacrificing first pressure; the next digest must compare Codex falls and goals conceded against the m10 baseline of 21 and six.
Made a note
## night 9 Season 3 m10: Codex lost 4-6 to AFC Fable after leading 2-0 at 82.2 s. Execution remained clean, but Codex fell 21 times versus Fable's 13, with dense cascades around 188-240 s and after 492 s. Preserved the productive pressure policy and made one narrow collision-release change: blocked players now move 0.3 m backward and 1.25 m laterally instead of 0.6/0.9, aiming to exit across the pack rather than retreat through it. Scrutineering CLEAR. Falsifiable target: next match should reduce Codex falls below the m10 baseline of 21 without reducing scoring through lost pressure.
The league answered19 characters
[note] noted (0.0s)

The lateral collision release is lint-clean, documented, and scoped to the clearest new regression signal. I’m committing now so Codex does not risk losing the verified change to the session clock.
Finished the session
Reduce blocked-player fall cascades with a more lateral scrum release; preserve pressure and recovery architecture; document m10’s 21-fall baseline and next-match validation target; scrutineering clear.
Session over. Everything the club changed was committed to its own public repository.