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Account Link
First-time onboarding. Player enters their Riot ID to connect their account. BattleLab uses this to retrieve their PUUID and pull historical match context.
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Connect your Riot account
BattleLab uses your Riot ID to pull your recent match history and rank — this is what lets us contextualise your VOD analysis and benchmark your play against high-ranked players.
Your Riot ID
GameName
# TAG
e.g. 187 #333
Connect Account
What we access
✓ Your PUUID (account identifier)
✓ Your recent match IDs and match outcomes
✓ Your current rank tier
✗ We do not access your password, payment info, or private messages
✓ Your recent match IDs and match outcomes
✓ Your current rank tier
✗ We do not access your password, payment info, or private messages
By connecting, you agree to our Terms of Service and Privacy Policy.
BattleLab is not endorsed by or affiliated with Riot Games.
BattleLab is not endorsed by or affiliated with Riot Games.
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Player Dashboard
Home screen after login. Shows the player's recent match history (from val-match-v1), current rank, and a summary of their last analysed session.
Season Overview
14
Sessions Analysed
68%
Avg CPC Score
↑ 4% this week
71%
Fight Win Rate
↑ 2% this week
3
Active Habits Flagged
↓ 1 from last week
Recent Matches
| Map | Agent | Result | K/D | Analysed |
|---|---|---|---|---|
| Ascent | Omen | Win | 18 / 12 | ✓ |
| Split | Omen | Loss | 14 / 16 | ✓ |
| Bind | Viper | Win | 21 / 10 | — |
| Haven | Omen | Loss | 11 / 18 | — |
| Sunset | Brimstone | Win | 16 / 11 | — |
Analyse a VOD →
Habit Tracker — Top Issues
Crosshair too low — entry corridors
68% of fights
Abandoning spray early
44% of fights
Over-peeking from disadvantaged angles
38% of fights
Based on 14 analysed sessions · 342 fights
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VOD Analysis
The player submits a YouTube VOD link. BattleLab matches it to their match history to pull round context (economy, site, agent) and then runs the CV pipeline.
✓
Submit VOD
2
Match to account
3
CV analysis
4
Results
VOD Submitted
YouTube URL
youtube.com/watch?v=abc123…
Video thumbnail
Ascent · Competitive · 13 Apr 2026
Matched to your account
✓ Match found
Map
Ascent
Result
Win 13–9
Agent
Omen
Your K/D/A
18 / 12 / 6
Opponent Ranks
Gold II
Gold III
Gold III
Plat I
Plat I
Round context loaded — economy, site, plant/defuse data available for all 22 rounds.
Analysis Queue
⟳
CV pipeline running
Processing at 60fps · Extracting HUD state, minimap positions, kill events…
34%
~4 min left
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Fight Breakdown
Individual fight analysis. Shows the CPC score (crosshair placement), CMC score (in-fight mechanics), and DOA verdict (decision × execution quality). Round economy from val-match-v1 provides context for the decision verdict.
Fight Scores
72
CPC
Crosshair Placement
Pre-fight angle + first burst
Angle setup68
First burst accuracy76
Pre-aim precision61
81
CMC
Combat Mechanics
Post-first-burst in-fight
Counter-strafe timing84
Spray discipline74
Deadzoning88
Crouch discipline62
Aim tracking79
Duel Outcome Analysis
⚠ Skill Masking
You took a 70/30 disadvantaged angle but won through strong mechanics (CMC 81). Winning fights this way inflates confidence in risky positioning. Your decision was suboptimal; your execution bailed you out.
Decision quality
Poor — risky angle
Execution quality
Strong
Outcome
Won
Radiant win rate here
38%
Round Context
Round
Round 7 — Attack
Economy
Full buy (₩3,900)
Site
B — no plant
Round result
Loss (eliminated)
Score at this round
3 – 4 (down)
Minimap Position
Minimap · player position dot
B Main · Attacker side
Similar Fights
Same callout, same agent, similar economy
Session 38 · R11
Same angle · Lost · CPC 61
Session 35 · R4
Same angle · Won · CPC 74
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Benchmark Comparison
Compares the player's CPC and CMC scores against the reference database — Radiant and Immortal players' fight data pulled via val-ranked-v1 (PUUID collection) and val-match-v1 (fight data). This is the core value proposition of the reference database.
Reference database: Built from 1,200 Radiant/Immortal players · Updated weekly
Crosshair Placement (CPC) vs Radiant
Your avg
68
Radiant avg
89
Gap
-21
By situation type
Entry corridors
You: 61 · Radiant: 88
Post-plant holds
You: 74 · Radiant: 91
Duels on contact
You: 71 · Radiant: 87
You
Radiant avg
Combat Mechanics (CMC) vs Radiant
Your avg
79
Radiant avg
92
Gap
-13
CMC is your relative strength
Your in-fight mechanics are closer to Radiant than your crosshair placement. Improving CPC is your highest-leverage improvement area — it directly unlocks your existing mechanical ability.
Where are you losing fights you should be winning?
| Situation | Your win rate | Radiant win rate | Gap | Primary cause |
|---|---|---|---|---|
| B Main entry · full buy · no util | 42% | 71% | -29% | CPC — angle setup |
| A Site retake · 1v1 · post-plant | 55% | 78% | -23% | CPC — pre-aim |
| Mid peek · pistol round | 38% | 54% | -16% | CMC — spray discipline |
| Entry duel · eco opponent | 81% | 89% | -8% | Close to benchmark |
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Combat Position Heatmaps
Dual-view positional win rate tool. Player View shows the player's own fight win rate at each callout vs. the Radiant reference database. Database View shows reference-only data. The grade system (7 tiers) and performance summary identify which positions most need work.
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Pathfinder
Database view showing Radiant duelist pathing data for Ascent B site. Three path signal categories (Confirmed Optimal, Danger Zone, Hidden Opportunity) colour-coded on the map. Optimisation toggle switches between Round Win Rate and Round Win + Gun Save. Terminal positions link through to the heatmap.
