KLYRO- — CS2 Stats
76561197989140494[U:1:28874766]✓ No bans
Rating over time
Faceit ELO
- At peak — 4,196
- Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
- 4,000 ELO first seen 2026-08-28
- 3,500 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 27,917
- Next: Gold band at 30,000 — 2,083 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerStrong CT-side openerEffective flashes
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 iM 95% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 58% on CT to 33% 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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 29 | 16–13 | 55% | 0.02 | |
| S | 23 | 15–8 | 65% | 0.02 | |
| C | 23 | 9–14 | 39% | 0.03 | |
| C | 12 | 5–7 | 42% | 0.02 | |
| D | 10 | 2–8 | 20% | 0.00 | |
| — | 2 | 2–0 | 100% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1440 | 54% | 1.19 | 17.6 |
| Ancient | 950 | 56% | 1.25 | 17.9 |
| Anubis | 797 | 56% | 1.19 | 17.1 |
| Nuke | 341 | 51% | 1.16 | 17.2 |
| Dust2 | 269 | 45% | 1.10 | 16.5 |
| Overpass | 106 | 56% | 1.14 | 17.7 |
| Train | 103 | 55% | 1.18 | 17.9 |
| Vertigo | 95 | 51% | 1.17 | 17.9 |
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.
- 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 32.9502% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.05 | 33% | 25 Aug → | ||
| 16–12 | 0.10 | 24% | 22 Aug → | ||
| 11–13 | -0.03 | 18% | 19 Aug → | ||
| 16–12 | -0.01 | 30% | 17 Aug → | ||
| 11–13 | -0.02 | 24% | 16 Aug → | ||
| 13–9 | -0.01 | 42% | 16 Aug → | ||
| 9–13 | 0.05 | 37% | 15 Aug → | ||
| 13–11 | -0.00 | 28% | 13 Aug → | ||
| 13–6 | -0.04 | 12% | 4 Aug → | ||
| 16–14 | -0.01 | 19% | 26 Jul → | ||
| 13–11 | 0.03 | 37% | 23 Jul → | ||
| 2–13 | -0.02 | 24% | 21 Jul → | ||
| 13–8 | -0.01 | 36% | 21 Jul → | ||
| 8–13 | -0.04 | 30% | 20 Jul → | ||
| 10–13 | -0.08 | 18% | 15 Jul → | ||
| 13–5 | 0.08 | 34% | 6 Jul → | ||
| 6–13 | 0.11 | 43% | 5 Jul → | ||
| 13–9 | 0.03 | 15% | 28 Jun → | ||
| 5–13 | -0.02 | 24% | 22 Jun → | ||
| 13–11 | -0.01 | 32% | 8 Jun → | ||
| 9–13 | 0.03 | 25% | 31 May → | ||
| 5–13 | -0.03 | 32% | 29 May → | ||
| 8–13 | -0.03 | 27% | 14 May → | ||
| 8–13 | -0.00 | 29% | 9 May → | ||
| 13–9 | -0.07 | 28% | 22 Apr → | ||
| 4–13 | -0.06 | 21% | 20 Apr → | ||
| 8–13 | -0.03 | 26% | 7 Apr → | ||
| 13–9 | 0.03 | 23% | 29 Mar → | ||
| 11–13 | 0.04 | 26% | 22 Mar → | ||
| 13–11 | 0.00 | 24% | 22 Mar → | ||
| 6–13 | -0.05 | 16% | 1 Mar → | ||
| 10–13 | 0.04 | 30% | 1 Mar → | ||
| 13–10 | 0.01 | 21% | 1 Mar → | ||
| 11–13 | 0.03 | 26% | 1 Mar → | ||
| 13–11 | 0.00 | 27% | 1 Mar → | ||
| 13–8 | 0.08 | 24% | 1 Mar → | ||
| 13–5 | 0.05 | 28% | 1 Mar → | ||
| 13–11 | -0.00 | 32% | 27 Feb → | ||
| 10–13 | 0.04 | 21% | 27 Feb → | ||
| 8–13 | -0.06 | 32% | 27 Feb → | ||
| 13–9 | 0.02 | 24% | 27 Feb → | ||
| 0–13 | -0.10 | 23% | 27 Feb → | ||
| 22–19 | 0.01 | 19% | 27 Feb → | ||
| 13–7 | 0.04 | 30% | 27 Feb → | ||
| 13–6 | 0.06 | 16% | 26 Feb → | ||
| 13–8 | 0.11 | 21% | 26 Feb → | ||
| 13–11 | 0.05 | 21% | 26 Feb → | ||
| 13–7 | -0.01 | 20% | 26 Feb → | ||
| 9–13 | -0.10 | 21% | 25 Feb → | ||
| 13–8 | -0.04 | 29% | 25 Feb → | ||
| 10–13 | -0.03 | 30% | 25 Feb → | ||
| 13–10 | -0.01 | 20% | 25 Feb → | ||
| 17–19 | -0.05 | 16% | 25 Feb → | ||
| 13–9 | 0.00 | 30% | 25 Feb → | ||
| 13–11 | 0.03 | 28% | 25 Feb → | ||
| 3–13 | -0.03 | 24% | 25 Feb → | ||
| 7–13 | 0.00 | 27% | 25 Feb → | ||
| 10–13 | 0.02 | 26% | 25 Feb → | ||
| 8–13 | 0.03 | 20% | 25 Feb → | ||
| 7–13 | -0.04 | 23% | 22 Feb → | ||
| 13–3 | -0.04 | 26% | 21 Feb → | ||
| 4–13 | -0.03 | 18% | 21 Feb → | ||
| 13–11 | 0.03 | 18% | 21 Feb → | ||
| 8–13 | -0.05 | 33% | 19 Feb → | ||
| 7–13 | -0.01 | 36% | 19 Feb → | ||
| 13–9 | 0.07 | 29% | 19 Feb → | ||
| 4–13 | -0.03 | 32% | 19 Feb → | ||
| 9–13 | 0.01 | 32% | 18 Feb → | ||
| 13–3 | 0.08 | 27% | 18 Feb → | ||
| 13–5 | 0.15 | 16% | 18 Feb → | ||
| 8–13 | 0.05 | 30% | 17 Feb → | ||
| 15–15 | -0.00 | 40% | 17 Feb → | ||
| 13–0 | 0.03 | 32% | 17 Feb → | ||
| 13–9 | 0.08 | 31% | 17 Feb → | ||
| 13–9 | 0.07 | 28% | 17 Feb → | ||
| 13–5 | 0.13 | 31% | 16 Feb → | ||
| 11–13 | 0.13 | 28% | 16 Feb → | ||
| 11–13 | 0.08 | 27% | 16 Feb → | ||
| 8–13 | 0.09 | 23% | 16 Feb → | ||
| 13–9 | 0.07 | 23% | 16 Feb → | ||
| 13–4 | 0.05 | 31% | 15 Feb → | ||
| 13–1 | 0.03 | 25% | 15 Feb → | ||
| 4–13 | 0.13 | 29% | 14 Feb → | ||
| 5–13 | 0.01 | 23% | 14 Feb → | ||
| 7–13 | 0.00 | 38% | 14 Feb → | ||
| 2–13 | 0.05 | 24% | 13 Feb → | ||
| 5–13 | 0.03 | 39% | 13 Feb → | ||
| 6–13 | 0.02 | 22% | 13 Feb → | ||
| 11–13 | 0.04 | 27% | 13 Feb → | ||
| 8–13 | -0.04 | 15% | 13 Feb → | ||
| 7–13 | 0.05 | 25% | 12 Feb → | ||
| 13–7 | 0.08 | 25% | 12 Feb → | ||
| 13–5 | 0.09 | 31% | 12 Feb → | ||
| 9–13 | 0.01 | 31% | 12 Feb → | ||
| 13–11 | 0.04 | 32% | 12 Feb → | ||
| 13–5 | 0.11 | 18% | 12 Feb → | ||
| 13–10 | 0.03 | 26% | 12 Feb → | ||
| 13–3 | 0.09 | 33% | 12 Feb → | ||
| 13–4 | 0.15 | 30% | 12 Feb → | ||
| 4–13 | 0.12 | 22% | 12 Feb → |
Match data via Leetify.