2026-04-19 00:00:00+00:00
vs Fukuoka SoftBank HAWKS gaming
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Driver Breakdown
The five score components behind the current 100-point profile.
Base Skill
player_elo
Recent Form
recent_form
Patch Fit
patch_fit
Fearless Depth
fearless_depth
Reliability
reliability
League Coefficient
league_adjustment
Tournament Coefficient
competition_adjustment
Activity Status
activity_adjustment
Situational Read
These buckets are reserved for opponent-tier and format-aware views.
Pool Shape
Family aggregation is not fully wired yet, but the target buckets are ready.
Family-level aggregation is planned next.
Similarity
Patch Context
Patch Fit movement over time, with positive and negative swings mapped to the current score model.
Recent Form
A quick read on outcomes versus expectation across the latest sample.
2026-04-19 00:00:00+00:00
vs Fukuoka SoftBank HAWKS gaming
2026-04-19 00:00:00+00:00
vs Fukuoka SoftBank HAWKS gaming
2026-04-19 00:00:00+00:00
vs Fukuoka SoftBank HAWKS gaming
2026-04-12 00:00:00+00:00
vs Deep Cross Gaming
2026-04-12 00:00:00+00:00
vs Deep Cross Gaming
2026-04-05 00:00:00+00:00
vs GAM Esports
2026-04-05 00:00:00+00:00
vs GAM Esports
2026-03-01 00:00:00+00:00
vs Deep Cross Gaming
2026-03-01 00:00:00+00:00
vs Deep Cross Gaming
2026-03-01 00:00:00+00:00
vs Deep Cross Gaming
| Date | Opponent | Result | vs Expected |
|---|---|---|---|
| 2026-04-19 00:00:00+00:00 | vs Fukuoka SoftBank HAWKS gaming | loss | +0.1σ |
| 2026-04-19 00:00:00+00:00 | vs Fukuoka SoftBank HAWKS gaming | win | -0.8σ |
| 2026-04-19 00:00:00+00:00 | vs Fukuoka SoftBank HAWKS gaming | win | +0.7σ |
| 2026-04-12 00:00:00+00:00 | vs Deep Cross Gaming | win | +0.5σ |
| 2026-04-12 00:00:00+00:00 | vs Deep Cross Gaming | win | -0.4σ |
| 2026-04-05 00:00:00+00:00 | vs GAM Esports | win | -0.1σ |
| 2026-04-05 00:00:00+00:00 | vs GAM Esports | win | -0.3σ |
| 2026-03-01 00:00:00+00:00 | vs Deep Cross Gaming | win | +0.1σ |
| 2026-03-01 00:00:00+00:00 | vs Deep Cross Gaming | win | +0.5σ |
| 2026-03-01 00:00:00+00:00 | vs Deep Cross Gaming | win | +0.3σ |
Riot Timeline · Lab
Ward placements and jungler pathing extracted from Riot Match-V5 Timeline. Data scope is experimental (1 matches).
Sample data for UI development. Real Riot Match-V5 timeline requires RIOT_API_KEY and riot_timeline_probe.py execution.