Evaluation
gemini-3-flash
Team BAL
ID 6b47ca35
openrouter
Started 2026-01-09THH24:21:49Z
Score
0.613
W / L
31 / 19
Run diff
58
Run overview
Model
gemini-3-flash
(google/gemini-3-flash-preview)
Task
season_simulation_agent
Team
BAL
Agent
openrouter
Started
2026-01-09THH24:21:49Z
Completed
2026-01-09THH24:22:57Z
Notes
admin_start games=50 mu_for=4.981481481481482 mu_against=4.185185185185185 seed=None team=BAL season=2023 source=pybaseball
Games
| Res | For | Against | Diff | Cum W-L | |
|---|---|---|---|---|---|
| 1 | W | 6 | 2 | 4 | 1-0 |
| 2 | W | 9 | 8 | 1 | 2-0 |
| 3 | L | 2 | 7 | -5 | 2-1 |
| 4 | W | 4 | 3 | 1 | 3-1 |
| 5 | W | 8 | 3 | 5 | 4-1 |
| 6 | L | 4 | 5 | -1 | 4-2 |
| 7 | W | 3 | 2 | 1 | 5-2 |
| 8 | L | 2 | 4 | -2 | 5-3 |
| 9 | W | 11 | 9 | 2 | 6-3 |
| 10 | W | 4 | 1 | 3 | 7-3 |
| 11 | W | 9 | 3 | 6 | 8-3 |
| 12 | W | 8 | 3 | 5 | 9-3 |
| 13 | W | 8 | 7 | 1 | 10-3 |
| 14 | W | 4 | 3 | 1 | 11-3 |
| 15 | L | 1 | 2 | -1 | 11-4 |
| 16 | W | 7 | 2 | 5 | 12-4 |
| 17 | L | 7 | 10 | -3 | 12-6 |
| 18 | L | 4 | 8 | -4 | 12-5 |
| 19 | W | 2 | 1 | 1 | 13-6 |
| 20 | W | 5 | 1 | 4 | 14-6 |
| 21 | L | 6 | 8 | -2 | 14-7 |
| 22 | W | 6 | 4 | 2 | 15-7 |
| 23 | W | 6 | 4 | 2 | 16-7 |
| 24 | W | 7 | 1 | 6 | 17-7 |
| 25 | W | 3 | 0 | 3 | 18-7 |
| 26 | L | 3 | 4 | -1 | 18-8 |
| 27 | L | 4 | 6 | -2 | 18-9 |
| 28 | W | 5 | 1 | 4 | 19-9 |
| 29 | W | 4 | 3 | 1 | 20-9 |
| 30 | W | 6 | 2 | 4 | 21-9 |
| 31 | L | 4 | 5 | -1 | 21-10 |
| 32 | W | 4 | 3 | 1 | 22-10 |
| 33 | W | 12 | 7 | 5 | 23-10 |
| 34 | W | 6 | 4 | 2 | 24-10 |
| 35 | L | 4 | 5 | -1 | 24-11 |
| 36 | W | 9 | 4 | 5 | 25-11 |
| 37 | L | 2 | 3 | -1 | 25-12 |
| 38 | W | 6 | 4 | 2 | 26-12 |
| 39 | W | 8 | 1 | 7 | 27-12 |
| 40 | L | 10 | 11 | -1 | 27-13 |
| 41 | L | 4 | 5 | -1 | 27-14 |
| 42 | L | 3 | 5 | -2 | 27-15 |
| 43 | W | 7 | 5 | 2 | 28-15 |
| 44 | W | 10 | 7 | 3 | 29-15 |
| 45 | L | 2 | 3 | -1 | 29-16 |
| 46 | W | 5 | 2 | 3 | 30-16 |
| 47 | W | 6 | 5 | 1 | 31-16 |
| 48 | L | 3 | 4 | -1 | 31-17 |
| 49 | L | 7 | 8 | -1 | 31-18 |
| 50 | L | 5 | 9 | -4 | 31-19 |
Logs
| Timestamp | Type | Role | Message | Rationale |
|---|---|---|---|---|
| 2026-01-09THH24:22:57Z | decision | agent | adjust_lineup {'lineup_type': 'standard', 'batting_order': ['leadoff_hitter', 'contact_hitter', 'power_hitter', 'cleanup_hitter', 'utility_hitter', 'defense_specialist', 'speed_specialist', 'bottom_order_1', 'bottom_order_2']} | Optimizing batting order based on standard sabermetric principles to maximize run production. |
| 2026-01-09THH24:22:57Z | game | engine | Game 1: W 6-2 | |
| 2026-01-09THH24:22:58Z | progress | engine | Progress: 1/50 games complete | |
| 2026-01-09THH24:22:58Z | decision | agent | adjust_mu {'strategy': 'aggressive_baserunning', 'intensity': 0.8} | Leveraging positive momentum from recent run differentials to maximize scoring opportunities. |
| 2026-01-09THH24:22:58Z | game | engine | Game 2: W 9-8 | |
| 2026-01-09THH24:22:58Z | progress | engine | Progress: 2/50 games complete | |
| 2026-01-09THH24:22:58Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent positive run differentials suggest offensive momentum; optimizing the top of the lineup to maximize plate appearances for high-OPS hitters will sustain this trend. |
| 2026-01-09THH24:22:59Z | game | engine | Game 3: L 2-7 | |
| 2026-01-09THH24:22:59Z | progress | engine | Progress: 3/50 games complete | |
| 2026-01-09THH24:22:59Z | decision | agent | adjust_mu {'strategy': 'aggressive_bullpen', 'reasoning': 'Recent -5 run differential suggests pitching instability'} | Tightening bullpen usage to stabilize run prevention after a significant loss. |
| 2026-01-09THH24:22:59Z | game | engine | Game 4: W 4-3 | |
| 2026-01-09THH24:22:59Z | progress | engine | Progress: 4/50 games complete | |
| 2026-01-09THH24:22:59Z | decision | agent | adjust_mu {'strategy': 'aggressive_bullpen', 'reasoning': 'Recent negative run differential in game 3 suggests a need for tighter pitching management to maintain slim leads.'} | Optimizing bullpen usage to protect narrow leads following a -5 run differential performance. |
| 2026-01-09THH24:23:00Z | game | engine | Game 5: W 8-3 | |
| 2026-01-09THH24:23:00Z | progress | engine | Progress: 5/50 games complete | |
| 2026-01-09THH24:23:00Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent -5 run differential suggests a need to optimize run production efficiency despite overall positive trend. |
| 2026-01-09THH24:23:00Z | game | engine | Game 6: L 4-5 | |
| 2026-01-09THH24:23:00Z | progress | engine | Progress: 6/50 games complete | |
| 2026-01-09THH24:23:00Z | decision | agent | adjust_mu {'strategy': 'aggressive_bullpen', 'reasoning': 'Recent inconsistent run differentials suggest a need for tighter late-game management.'} | Stabilizing performance after alternating wins and losses by prioritizing high-leverage relief usage. |
| 2026-01-09THH24:23:01Z | game | engine | Game 7: W 3-2 | |
| 2026-01-09THH24:23:01Z | progress | engine | Progress: 7/50 games complete | |
| 2026-01-09THH24:23:01Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent run differential is inconsistent; optimizing the top of the lineup for higher OPS to increase run production stability. |
| 2026-01-09THH24:23:01Z | game | engine | Game 8: L 2-4 | |
| 2026-01-09THH24:23:01Z | progress | engine | Progress: 8/50 games complete | |
| 2026-01-09THH24:23:01Z | decision | agent | adjust_mu {'strategy': 'aggressive_bullpen', 'leverage_threshold': 0.75} | Recent narrow run differentials suggest a need for tighter late-game management to secure wins in close contests. |
| 2026-01-09THH24:23:02Z | game | engine | Game 9: W 11-9 | |
| 2026-01-09THH24:23:02Z | progress | engine | Progress: 9/50 games complete | |
| 2026-01-09THH24:23:02Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent run differentials show inconsistency; optimizing the top of the lineup for higher OPS to increase run production. |
| 2026-01-09THH24:23:02Z | game | engine | Game 10: W 4-1 | |
| 2026-01-09THH24:23:02Z | progress | engine | Progress: 10/50 games complete | |
| 2026-01-09THH24:23:02Z | decision | agent | adjust_lineup {'strategy': 'maximize_ops_vs_rhp', 'batting_order': 'optimized'} | Recent inconsistent run production suggests a need to optimize the batting order based on current performance metrics and platoon splits. |
| 2026-01-09THH24:23:03Z | game | engine | Game 11: W 9-3 | |
| 2026-01-09THH24:23:03Z | progress | engine | Progress: 11/50 games complete | |
| 2026-01-09THH24:23:03Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent positive run differentials suggest offensive momentum; optimizing the top of the lineup will maximize run production during this hot streak. |
| 2026-01-09THH24:23:03Z | game | engine | Game 12: W 8-3 | |
| 2026-01-09THH24:23:03Z | progress | engine | Progress: 12/50 games complete | |
| 2026-01-09THH24:23:03Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Positive run differential trend suggests maintaining offensive momentum while optimizing the top of the order for higher leverage situations. |
| 2026-01-09THH24:23:04Z | game | engine | Game 13: W 8-7 | |
| 2026-01-09THH24:23:04Z | progress | engine | Progress: 13/50 games complete | |
| 2026-01-09THH24:23:04Z | decision | agent | adjust_mu {'strategy': 'aggressive_bullpen', 'reasoning': 'Maintaining momentum from recent positive run differentials'} | Leveraging a +17 run differential over the last five games to solidify late-inning leads. |
| 2026-01-09THH24:23:04Z | game | engine | Game 14: W 4-3 | |
| 2026-01-09THH24:23:04Z | progress | engine | Progress: 14/50 games complete | |
| 2026-01-09THH24:23:05Z | decision | agent | adjust_mu {'strategy': 'aggressive_baserunning', 'intensity': 0.8} | Capitalizing on positive momentum and narrow run differentials to maximize scoring opportunities. |
| 2026-01-09THH24:23:05Z | game | engine | Game 15: L 1-2 | |
| 2026-01-09THH24:23:05Z | progress | engine | Progress: 15/50 games complete | |
| 2026-01-09THH24:23:05Z | decision | agent | adjust_mu {'strategy': 'aggressive_bullpen', 'reasoning': 'Recent run differentials are narrowing, indicating a need for tighter late-game management to preserve wins.'} | Trend shows decreasing margin of victory; prioritizing high-leverage relief usage to maintain positive momentum. |
| 2026-01-09THH24:23:05Z | game | engine | Game 16: W 7-2 | |
| 2026-01-09THH24:23:05Z | progress | engine | Progress: 16/50 games complete | |
| 2026-01-09THH24:23:06Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent run differentials show inconsistency; optimizing the top of the lineup to increase run production efficiency. |
| 2026-01-09THH24:23:06Z | game | engine | Game 18: L 4-8 | |
| 2026-01-09THH24:23:06Z | progress | engine | Progress: 18/50 games complete | |
| 2026-01-09THH24:23:06Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent negative run differentials suggest a need to re-optimize the batting order to maximize run production. |
| 2026-01-09THH24:23:07Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent performance shows positive run differential but a narrow loss; optimizing lineup to maximize run production efficiency. |
| 2026-01-09THH24:23:07Z | game | engine | Game 17: L 7-10 | |
| 2026-01-09THH24:23:07Z | progress | engine | Progress: 17/50 games complete | |
| 2026-01-09THH24:23:07Z | game | engine | Game 19: W 2-1 | |
| 2026-01-09THH24:23:07Z | progress | engine | Progress: 19/50 games complete | |
| 2026-01-09THH24:23:07Z | decision | agent | adjust_lineup {'strategy': 'maximize_ops', 'focus': 'top_of_order'} | Recent negative run differentials suggest a need to optimize run production by reordering the lineup for higher OPS efficiency. |
| 2026-01-09THH24:23:07Z | game | engine | Game 20: W 5-1 | |
| 2026-01-09THH24:23:07Z | progress | engine | Progress: 20/50 games complete | |
| 2026-01-09THH24:23:08Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent negative run differentials suggest a need to optimize run production by reordering the lineup for maximum OPS efficiency. |
| 2026-01-09THH24:23:08Z | game | engine | Game 21: L 6-8 | |
| 2026-01-09THH24:23:08Z | progress | engine | Progress: 21/50 games complete | |
| 2026-01-09THH24:23:08Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Negative run differential in 3 of last 5 games suggests a need to optimize run production efficiency at the top of the lineup. |
| 2026-01-09THH24:23:08Z | game | engine | Game 22: W 6-4 | |
| 2026-01-09THH24:23:08Z | progress | engine | Progress: 22/50 games complete | |
| 2026-01-09THH24:23:09Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'target_batters': 'top_6'} | Recent run differentials show inconsistency; re-ordering the lineup to maximize plate appearances for high-OPS hitters to stabilize offensive output. |
| 2026-01-09THH24:23:09Z | game | engine | Game 23: W 6-4 | |
| 2026-01-09THH24:23:09Z | progress | engine | Progress: 23/50 games complete | |
| 2026-01-09THH24:23:09Z | decision | agent | adjust_lineup {'strategy': 'maximize_ops', 'focus': 'top_of_order'} | Recent positive run differential suggests offensive momentum; optimizing the top of the lineup to capitalize on high-leverage plate appearances. |
| 2026-01-09THH24:23:09Z | game | engine | Game 24: W 7-1 | |
| 2026-01-09THH24:23:09Z | progress | engine | Progress: 24/50 games complete | |
| 2026-01-09THH24:23:10Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent positive run differential suggests offensive momentum; optimizing the top of the lineup to maximize plate appearances for high-OPS hitters. |
| 2026-01-09THH24:23:10Z | game | engine | Game 25: W 3-0 | |
| 2026-01-09THH24:23:10Z | progress | engine | Progress: 25/50 games complete | |
| 2026-01-09THH24:23:10Z | decision | agent | adjust_mu {'strategy': 'aggressive_bullpen', 'reasoning': 'Leveraging positive momentum from a 4-1 recent stretch to maximize win probability in close games.'} | Team has a +11 run differential over the last five games; tightening late-game management sustains this trend. |
| 2026-01-09THH24:23:10Z | game | engine | Game 26: L 3-4 | |
| 2026-01-09THH24:23:10Z | progress | engine | Progress: 26/50 games complete | |
| 2026-01-09THH24:23:11Z | decision | agent | adjust_mu {'strategy': 'aggressive_baserunning', 'reasoning': 'positive_momentum'} | Leveraging a 4-1 recent record and positive run differential to maintain offensive pressure. |
| 2026-01-09THH24:23:11Z | game | engine | Game 27: L 4-6 | |
| 2026-01-09THH24:23:11Z | progress | engine | Progress: 27/50 games complete | |
| 2026-01-09THH24:23:11Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent negative run differentials suggest a need to optimize run production by reordering the lineup for higher OBP at the top. |
| 2026-01-09THH24:23:11Z | game | engine | Game 28: W 5-1 | |
| 2026-01-09THH24:23:11Z | progress | engine | Progress: 28/50 games complete | |
| 2026-01-09THH24:23:12Z | decision | agent | adjust_mu {'strategy': 'aggressive_baserunning', 'defensive_alignment': 'standard'} | Recent performance shows a positive run differential trend; increasing aggression to capitalize on momentum and maximize run production. |
| 2026-01-09THH24:23:12Z | game | engine | Game 29: W 4-3 | |
| 2026-01-09THH24:23:12Z | progress | engine | Progress: 29/50 games complete | |
| 2026-01-09THH24:23:12Z | decision | agent | adjust_mu {'strategy': 'aggressive_baserunning', 'focus': 'on-base_percentage'} | Recent run differentials show inconsistency; shifting to a high-OBP strategy to stabilize run production. |
| 2026-01-09THH24:23:12Z | game | engine | Game 30: W 6-2 | |
| 2026-01-09THH24:23:12Z | progress | engine | Progress: 30/50 games complete | |
| 2026-01-09THH24:23:13Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent positive run differentials suggest offensive momentum; optimizing the top of the lineup will maximize run production efficiency. |
| 2026-01-09THH24:23:13Z | game | engine | Game 31: L 4-5 | |
| 2026-01-09THH24:23:13Z | progress | engine | Progress: 31/50 games complete | |
| 2026-01-09THH24:23:13Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent negative run differentials in two of the last five games suggest a need to optimize run production efficiency at the top of the lineup. |
| 2026-01-09THH24:23:13Z | game | engine | Game 32: W 4-3 | |
| 2026-01-09THH24:23:13Z | progress | engine | Progress: 32/50 games complete | |
| 2026-01-09THH24:23:14Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent run differentials are positive but narrow; optimizing the top of the lineup aims to capitalize on high-leverage scoring opportunities. |
| 2026-01-09THH24:23:14Z | game | engine | Game 33: W 12-7 | |
| 2026-01-09THH24:23:14Z | progress | engine | Progress: 33/50 games complete | |
| 2026-01-09THH24:23:14Z | decision | agent | adjust_mu {'strategy': 'aggressive_bullpen', 'reasoning': 'positive_run_differential_momentum'} | Leveraging a +10 run differential over the last five games to optimize bullpen usage and maintain winning momentum. |
| 2026-01-09THH24:23:14Z | game | engine | Game 34: W 6-4 | |
| 2026-01-09THH24:23:14Z | progress | engine | Progress: 34/50 games complete | |
| 2026-01-09THH24:23:15Z | decision | agent | adjust_mu {'strategy': 'aggressive_baserunning', 'intensity': 0.8} | Positive run differential trend suggests maintaining momentum by increasing pressure on opposing defenses. |
| 2026-01-09THH24:23:15Z | game | engine | Game 35: L 4-5 | |
| 2026-01-09THH24:23:15Z | progress | engine | Progress: 35/50 games complete | |
| 2026-01-09THH24:23:15Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent one-run losses suggest a need to optimize run production efficiency at the top of the lineup. |
| 2026-01-09THH24:23:15Z | game | engine | Game 36: W 9-4 | |
| 2026-01-09THH24:23:15Z | progress | engine | Progress: 36/50 games complete | |
| 2026-01-09THH24:23:16Z | decision | agent | adjust_mu {'strategy': 'aggressive_baserunning', 'intensity': 0.8} | Positive run differential trend suggests high team momentum; increasing aggression to capitalize on scoring opportunities. |
| 2026-01-09THH24:23:16Z | game | engine | Game 37: L 2-3 | |
| 2026-01-09THH24:23:16Z | progress | engine | Progress: 37/50 games complete | |
| 2026-01-09THH24:23:16Z | decision | agent | adjust_mu {'strategy': 'aggressive_baserunning', 'reasoning': 'positive_run_differential'} | Leveraging a +10 run differential over the last five games to maintain offensive pressure. |
| 2026-01-09THH24:23:16Z | game | engine | Game 38: W 6-4 | |
| 2026-01-09THH24:23:16Z | progress | engine | Progress: 38/50 games complete | |
| 2026-01-09THH24:23:17Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent performance shows inconsistent run production (two 1-run losses); re-optimizing the lineup to maximize high-OPS plate appearances. |
| 2026-01-09THH24:23:17Z | game | engine | Game 39: W 8-1 | |
| 2026-01-09THH24:23:17Z | progress | engine | Progress: 39/50 games complete | |
| 2026-01-09THH24:23:17Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent performance shows inconsistent run production in close losses; optimizing the top of the lineup for higher OBP will leverage the current +12 run differential over the last five games. |
| 2026-01-09THH24:23:17Z | game | engine | Game 40: L 10-11 | |
| 2026-01-09THH24:23:17Z | progress | engine | Progress: 40/50 games complete | |
| 2026-01-09THH24:23:18Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent performance shows high variance; optimizing the top of the lineup for OPS will stabilize run production and capitalize on positive run differentials. |
| 2026-01-09THH24:23:18Z | game | engine | Game 41: L 4-5 | |
| 2026-01-09THH24:23:18Z | progress | engine | Progress: 41/50 games complete | |
| 2026-01-09THH24:23:18Z | decision | agent | adjust_mu {'strategy': 'aggressive_bullpen', 'focus': 'high_leverage_efficiency'} | Recent one-run losses indicate a need to optimize late-inning matchups to preserve narrow leads or deficits. |
| 2026-01-09THH24:23:18Z | game | engine | Game 42: L 3-5 | |
| 2026-01-09THH24:23:18Z | progress | engine | Progress: 42/50 games complete | |
| 2026-01-09THH24:23:19Z | decision | agent | adjust_lineup {'strategy': 'increase_obp', 'focus': 'top_of_order'} | Recent three-game losing streak with low run production suggests a need to optimize on-base percentage at the top of the lineup. |
| 2026-01-09THH24:23:19Z | game | engine | Game 43: W 7-5 | |
| 2026-01-09THH24:23:19Z | progress | engine | Progress: 43/50 games complete | |
| 2026-01-09THH24:23:19Z | decision | agent | adjust_lineup {'strategy': 'optimize_obp', 'reasoning': 'Recent narrow losses indicate a need for higher base-runner frequency to capitalize on scoring opportunities.'} | Three losses by a combined 4 runs suggest the offense is close but needs better sequencing and on-base percentage to flip the result. |
| 2026-01-09THH24:23:19Z | game | engine | Game 44: W 10-7 | |
| 2026-01-09THH24:23:19Z | progress | engine | Progress: 44/50 games complete | |
| 2026-01-09THH24:23:20Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent negative run differentials suggest a need to optimize run production by reordering the lineup for higher OBP at the top. |
| 2026-01-09THH24:23:20Z | game | engine | Game 45: L 2-3 | |
| 2026-01-09THH24:23:20Z | progress | engine | Progress: 45/50 games complete | |
| 2026-01-09THH24:23:20Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops', 'focus': 'top_of_order'} | Recent negative run differentials suggest a need to maximize run production efficiency by reordering the lineup based on current OBP and SLG trends. |
| 2026-01-09THH24:23:20Z | game | engine | Game 46: W 5-2 | |
| 2026-01-09THH24:23:20Z | progress | engine | Progress: 46/50 games complete | |
| 2026-01-09THH24:23:21Z | decision | agent | adjust_lineup {'strategy': 'maximize_ops', 'focus': 'top_of_order'} | Recent run differentials show inconsistency; optimizing the top of the lineup for higher OPS will increase run production stability. |
| 2026-01-09THH24:23:21Z | game | engine | Game 47: W 6-5 | |
| 2026-01-09THH24:23:21Z | progress | engine | Progress: 47/50 games complete | |
| 2026-01-09THH24:23:21Z | decision | agent | adjust_lineup {'strategy': 'maximize_ops', 'focus': 'top_of_order'} | Team is trending positively with a 4-1 record in the last five games; optimizing the lineup core will sustain offensive momentum. |
| 2026-01-09THH24:23:21Z | game | engine | Game 48: L 3-4 | |
| 2026-01-09THH24:23:21Z | progress | engine | Progress: 48/50 games complete | |
| 2026-01-09THH24:23:22Z | decision | agent | adjust_lineup {'strategy': 'optimize_ops_vs_rhp', 'lineup_type': 'standard'} | Recent performance shows inconsistent run production; re-optimizing the lineup for OPS against right-handed pitching to stabilize offensive output. |
| 2026-01-09THH24:23:22Z | game | engine | Game 49: L 7-8 | |
| 2026-01-09THH24:23:22Z | progress | engine | Progress: 49/50 games complete | |
| 2026-01-09THH24:23:22Z | decision | agent | adjust_lineup {'strategy': 'optimize_obp', 'target_batters': 'top_of_order'} | Recent negative run differentials suggest a need to optimize on-base percentage at the top of the lineup to increase run production. |
| 2026-01-09THH24:23:23Z | game | engine | Game 50: L 5-9 | |
| 2026-01-09THH24:23:23Z | progress | engine | Progress: 50/50 games complete |