× Ténèbres × — CS2 Stats
76561198088871294[U:1:128605566]Steam profile ↗
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.05 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like NiKo 88% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| office | A | 83 | 51–32 | 61% | 0.00 |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 4 | 4–0 | 100% | 0.03 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.06 | |
| — | 1 | 0–1 | 0% | -0.07 | |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 31 | 61% | 0.82 | 11.7 |
| Vertigo | 22 | 27% | 0.78 | 13.2 |
| Ancient | 16 | 38% | 0.65 | 10.1 |
| Nuke | 9 | 78% | 0.83 | 12.6 |
| Anubis | 9 | 33% | 0.74 | 12.0 |
| Mirage | 8 | 38% | 0.76 | 14.8 |
| Dust2 | 2 | 100% | 1.40 | 16.5 |
| Train | 1 | 100% | 0.56 | 15.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.488 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 25.3875% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 13–8 | -0.04 | 26% | 16 Aug → | |
| office | 13–10 | 0.03 | 32% | 16 Aug → | |
| office | 13–9 | 0.01 | 31% | 20 Jul → | |
| 9–13 | -0.05 | 10% | 18 Jun → | ||
| 8–13 | -0.06 | 13% | 11 Jun → | ||
| 15–15 | -0.00 | 9% | 9 Jun → | ||
| office | 13–6 | 0.10 | 19% | 3 Jun → | |
| 11–13 | -0.05 | 16% | 31 May → | ||
| office | 12–12 | 0.10 | 26% | 27 May → | |
| 13–9 | -0.01 | 9% | 27 May → | ||
| 13–9 | -0.03 | 29% | 27 May → | ||
| office | 11–13 | -0.08 | 14% | 26 May → | |
| office | 12–2 | -0.00 | 46% | 25 May → | |
| office | 4–0 | -0.07 | 0% | 25 May → | |
| 13–5 | -0.00 | 47% | 24 May → | ||
| 5–13 | -0.07 | 32% | 24 May → | ||
| office | 2–13 | -0.09 | 10% | 14 May → | |
| office | 10–13 | -0.03 | 33% | 14 May → | |
| office | 7–13 | -0.04 | 21% | 13 May → | |
| office | 13–10 | -0.03 | 47% | 13 May → | |
| office | 1–13 | -0.07 | 9% | 13 May → | |
| office | 13–6 | 0.06 | 36% | 12 May → | |
| office | 13–5 | 0.08 | 19% | 12 May → | |
| office | 12–2 | 0.07 | 22% | 12 May → | |
| office | 13–5 | 0.05 | 31% | 11 May → | |
| office | 13–11 | 0.02 | 37% | 7 May → | |
| office | 13–11 | 0.07 | 21% | 6 May → | |
| office | 4–13 | -0.03 | 22% | 3 May → | |
| office | 13–8 | 0.04 | 40% | 3 May → | |
| office | 13–11 | -0.01 | 26% | 29 Apr → | |
| 13–3 | 0.05 | 17% | 27 Apr → | ||
| office | 13–7 | -0.00 | 16% | 26 Apr → | |
| office | 13–5 | -0.03 | 29% | 26 Apr → | |
| office | 13–10 | -0.04 | 27% | 26 Apr → | |
| office | 13–5 | 0.05 | 22% | 26 Apr → | |
| office | 13–6 | 0.10 | 29% | 25 Apr → | |
| office | 13–3 | 0.03 | 34% | 25 Apr → | |
| office | 11–13 | -0.03 | 24% | 25 Apr → | |
| 7–13 | 0.00 | 15% | 23 Apr → | ||
| 13–8 | 0.02 | 15% | 22 Apr → | ||
| office | 13–5 | 0.02 | 30% | 21 Apr → | |
| office | 13–11 | -0.01 | 30% | 21 Apr → | |
| 9–1 | 0.08 | 14% | 20 Apr → | ||
| office | 13–10 | 0.09 | 23% | 19 Apr → | |
| 12–12 | -0.07 | 21% | 16 Apr → | ||
| office | 12–12 | 0.03 | 18% | 15 Apr → | |
| office | 13–8 | 0.06 | 14% | 15 Apr → | |
| office | 2–13 | -0.04 | 22% | 14 Apr → | |
| office | 8–13 | 0.06 | 33% | 14 Apr → | |
| office | 9–13 | -0.05 | 39% | 9 Apr → | |
| office | 13–5 | -0.02 | 34% | 8 Apr → | |
| office | 7–13 | 0.05 | 11% | 28 Mar → | |
| office | 10–13 | 0.00 | 22% | 25 Mar → | |
| office | 13–8 | 0.01 | 22% | 24 Mar → | |
| office | 13–9 | 0.09 | 23% | 24 Mar → | |
| office | 13–9 | -0.01 | 24% | 24 Mar → | |
| office | 4–13 | -0.07 | 15% | 23 Mar → | |
| office | 13–11 | -0.09 | 21% | 22 Mar → | |
| office | 6–1 | -0.02 | 20% | 22 Mar → | |
| office | 13–3 | -0.06 | 13% | 19 Mar → | |
| office | 9–13 | -0.02 | 12% | 19 Mar → | |
| office | 11–13 | -0.06 | 17% | 18 Mar → | |
| office | 5–13 | -0.04 | 32% | 18 Mar → | |
| office | 13–2 | 0.15 | 30% | 18 Mar → | |
| office | 5–13 | 0.03 | 35% | 18 Mar → | |
| office | 12–12 | 0.08 | 8% | 18 Mar → | |
| office | 6–13 | -0.02 | 19% | 17 Mar → | |
| office | 13–10 | 0.08 | 21% | 15 Mar → | |
| office | 13–10 | 0.05 | 28% | 11 Mar → | |
| 13–1 | 0.04 | 24% | 9 Mar → | ||
| office | 13–6 | -0.02 | 32% | 8 Mar → | |
| office | 5–13 | -0.01 | 18% | 5 Mar → | |
| office | 12–12 | -0.00 | 11% | 5 Mar → | |
| office | 10–13 | 0.01 | 16% | 5 Mar → | |
| 8–13 | 0.01 | 9% | 5 Mar → | ||
| office | 8–13 | -0.08 | 28% | 4 Mar → | |
| 12–12 | 0.01 | 8% | 4 Mar → | ||
| office | 13–11 | -0.03 | 19% | 3 Mar → | |
| office | 4–13 | 0.00 | 27% | 3 Mar → | |
| office | 5–13 | -0.06 | 14% | 2 Mar → | |
| office | 8–13 | 0.00 | 17% | 2 Mar → | |
| 13–4 | -0.07 | 11% | 28 Feb → | ||
| office | 13–11 | -0.01 | 20% | 27 Feb → | |
| office | 13–7 | -0.02 | 19% | 27 Feb → | |
| office | 7–13 | -0.04 | 13% | 26 Feb → | |
| office | 13–11 | -0.04 | 31% | 26 Feb → | |
| office | 13–11 | 0.01 | 28% | 26 Feb → | |
| office | 13–11 | -0.01 | 9% | 24 Feb → | |
| office | 13–10 | 0.02 | 18% | 24 Feb → | |
| office | 10–3 | -0.03 | 20% | 24 Feb → | |
| office | 9–2 | -0.00 | 31% | 24 Feb → | |
| office | 13–8 | -0.05 | 18% | 23 Feb → | |
| office | 5–13 | -0.03 | 15% | 22 Feb → | |
| office | 13–6 | -0.00 | 40% | 22 Feb → | |
| office | 13–3 | 0.02 | 21% | 22 Feb → | |
| office | 13–9 | -0.01 | 31% | 22 Feb → | |
| office | 13–9 | 0.01 | 17% | 20 Feb → | |
| office | 10–13 | -0.07 | 9% | 19 Feb → | |
| office | 9–13 | 0.02 | 19% | 19 Feb → | |
| office | 13–9 | -0.04 | 28% | 17 Feb → |
Match data via Leetify.