# Site

## Pages

- [Page not found](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/404/): This route is outside the current champion mastery playbook.
- [Baseline Matchup Protocol](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/assessments/baseline-protocol/): Design and run a controlled lane test that turns one suspected counter interaction into an evidence-backed rule.
- [Champion Mastery Capstone](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/assessments/champion-mastery-capstone/): Defend a complete mechanics, matchup, and global playbook through re-tests of the hardest interactions and a live transfer challenge.
- [Counter Lab Portfolio](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/assessments/counter-lab-portfolio/): Build a tested matchup library for one champion and show how repeated lane evidence changes setup and map decisions.
- [Build a mastery loop](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-01/): Establish a champion baseline, define observable goals, and turn every match into the next training decision.
- [Champion identity and mechanics](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-02/): Convert a champion kit into repeatable drills for spacing, combos, cooldowns, resource use, and escape routes.
- [Trade through the wave](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-03/): Read minion states, level timings, health budgets, and recall windows before deciding whether a trade is actually good.
- [Model every lane opponent](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-04/): Classify range, sustain, all-in, disengage, scaling, and jungle pressure to create testable matchup hypotheses.
- [Review without hindsight bias](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-05/): Use timestamped replay evidence to distinguish a poor decision from a reasonable decision with a bad result.
- [Adapt runes, items, and skill order](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-06/): Treat setups as responses to threats and win conditions, then document when a default should be replaced.
- [Survive pressure and track the jungler](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-07/): Combine wave position, pathing clues, vision timing, and weak-side objectives into a plan that preserves agency.
- [Turn lane knowledge into mid-game tempo](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-08/): Decide when to hold side lane, move first, trade objectives, or group by comparing the next two waves and map timers.
- [Enter teamfights with a job](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-09/): Define target access, peel, flank, zone, and retreat triggers before the fight removes time to think.
- [Build the full-roster interaction map](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-10/): Extend lane mastery into a searchable map of threats, interrupts, mobility, range, and teamfight interactions across the roster.
- [Pressure-test the hardest counters](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-11/): Re-run the ten most difficult interactions across three cycles and audit whether revised rules still hold under pressure.
- [Maintain mastery across patches](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/lectures/week-12/): Synthesize mechanics, matchup, and global evidence into a living playbook that can be revalidated after change.
- [Aisha Rahman](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/people/aisha-rahman/): Guest analyst working on teamfight communication, objective preparation, and the reliability of competitive-game performance data.
- [Jonah Vale](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/people/jonah-vale/): Champion Lab tutor focused on lane-state coaching, replay annotation, partner protocols, and transferring drills into live games.
- [Dr Mei Chen](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/people/mei-chen/): Course convenor specialising in deliberate practice, competitive decision-making, and evidence-based coaching for team games.
- [Policies and support](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/policies/): Course rules for practice conduct, evidence, late work, accessibility, account safety, and responsible use of game data.
- [Calibration and champion contract](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/01-calibration/): Lock one champion and role, record a baseline, and define the first evidence-backed training queue.
- [Mechanics loop](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/02-mechanics-loop/): Build and repeat two champion-specific drills until execution is stable enough to test in a live lane.
- [Wave and trade lab](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/03-wave-and-trade/): Rehearse the first four waves against contrasting opponents and connect every trade to the next lane state.
- [Matchup hypothesis lab](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/04-matchup-hypothesis/): Turn a suspected counter into a controlled one-versus-one protocol and a falsifiable lane rule.
- [Evidence-first VOD review](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/05-vod-review/): Review decisions from information available in the moment and convert findings into a precise re-test.
- [Adaptive setup lab](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/06-adaptive-setup/): Compare two rune, item, or skill-order plans against the same matchup problem without confusing correlation for cause.
- [Counter sprint](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/07-counter-sprint/): Rotate through ranged, sustain, disengage, and all-in opponents while keeping one champion plan under scrutiny.
- [Portfolio review](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/08-portfolio-review/): Audit matchup coverage, evidence quality, and whether lane learning changes later map decisions.
- [Global decision map](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/09-global-map/): Rehearse side-lane, objective, teleport, and grouping decisions from ahead, even, and behind states.
- [Teamfight scenario lab](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/10-teamfight-scenarios/): Test champion interactions outside lane through target access, peel, flank, zone, and retreat scenarios.
- [Hard-counter re-test gauntlet](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/11-retest-gauntlet/): Stress-test the ten hardest matchups across three cycles and defend the resulting rules to peers.
- [Champion mastery exhibition](https://comp4020-agentic-coding-studio.github.io/comp4020-ass2-2513238602/sessions/12-capstone-exhibition/): Demonstrate one complete improvement loop and hand over a living playbook with a credible next-test queue.