tëğz — CS2 Stats
76561199041740379[U:1:1081474651]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 45.8% | 52.8% |
| Shot accuracy | 8.8% | 13.7% |
| Kill/death ratio | 1.03 | 1.08 |
| Match win rate | 53.0% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 sh1ro 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
Strengths
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 65% on CT to 43% 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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| B | 28 | 15–13 | 54% | 0.01 | |
| B | 24 | 11–13 | 46% | 0.02 | |
| B | 18 | 9–9 | 50% | 0.00 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| S | 6 | 4–2 | 67% | -0.01 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 2 | 0–2 | 0% | -0.04 | |
| brewery | — | 2 | 0–2 | 0% | 0.10 |
| — | 2 | 0–2 | 0% | -0.02 | |
| dogtown | — | 1 | 0–1 | 0% | -0.12 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 767 | 48% | 1.06 | 15.8 |
| Anubis | 440 | 54% | 1.12 | 16.7 |
| Ancient | 401 | 48% | 1.14 | 16.6 |
| Dust2 | 314 | 53% | 1.05 | 15.6 |
| Inferno | 136 | 46% | 0.99 | 15.3 |
| Vertigo | 109 | 42% | 0.93 | 15.0 |
| Overpass | 78 | 49% | 1.05 | 15.7 |
| Nuke | 53 | 45% | 1.12 | 14.6 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.03 | 28% | 13 Aug → | ||
| 13–10 | -0.02 | 26% | 29 Jul → | ||
| 13–9 | 0.03 | 7% | 28 Jul → | ||
| 13–10 | 0.08 | 20% | 15 Jul → | ||
| 13–3 | -0.00 | 14% | 30 May → | ||
| 13–10 | 0.06 | 20% | 20 May → | ||
| 9–13 | -0.04 | 17% | 19 May → | ||
| 13–10 | 0.05 | 17% | 14 May → | ||
| 10–13 | 0.04 | 26% | 27 Apr → | ||
| 8–13 | -0.05 | 25% | 27 Apr → | ||
| 13–5 | 0.08 | 16% | 26 Apr → | ||
| 13–8 | 0.01 | 18% | 23 Apr → | ||
| 7–13 | -0.02 | 24% | 8 Apr → | ||
| 13–7 | 0.02 | 20% | 1 Apr → | ||
| 8–13 | -0.02 | 16% | 25 Mar → | ||
| 4–13 | 0.05 | 24% | 25 Mar → | ||
| 13–2 | -0.01 | 31% | 24 Mar → | ||
| 6–13 | -0.01 | 20% | 16 Mar → | ||
| 13–9 | 0.14 | 34% | 13 Mar → | ||
| 13–2 | -0.01 | 10% | 12 Mar → | ||
| 13–5 | 0.02 | 50% | 11 Mar → | ||
| 13–10 | -0.04 | 8% | 6 Mar → | ||
| 13–16 | 0.02 | 21% | 4 Mar → | ||
| 11–13 | 0.05 | 18% | 2 Mar → | ||
| 9–13 | 0.00 | 19% | 21 Feb → | ||
| 13–2 | 0.05 | 20% | 21 Feb → | ||
| 13–0 | 0.08 | 43% | 21 Feb → | ||
| 13–5 | -0.03 | 7% | 21 Feb → | ||
| 12–10 | 0.13 | 31% | 19 Feb → | ||
| 6–13 | -0.00 | 21% | 7 Feb → | ||
| 13–10 | -0.05 | 25% | 25 Jan → | ||
| 11–13 | -0.01 | 24% | 24 Jan → | ||
| 13–10 | 0.06 | 21% | 14 Jan → | ||
| 9–13 | 0.01 | 16% | 11 Jan → | ||
| 4–13 | 0.01 | 22% | 5 Jan → | ||
| 13–8 | 0.02 | 38% | 9 Dec → | ||
| 13–9 | 0.17 | 33% | 28 Nov → | ||
| 11–13 | -0.02 | 26% | 28 Nov → | ||
| 8–13 | -0.06 | 12% | 21 Nov → | ||
| 13–11 | -0.01 | 24% | 20 Nov → | ||
| 13–7 | 0.01 | 31% | 18 Nov → | ||
| 7–13 | 0.02 | 16% | 17 Nov → | ||
| 13–8 | 0.07 | 26% | 17 Nov → | ||
| 13–11 | 0.02 | 25% | 17 Nov → | ||
| 10–13 | -0.00 | 16% | 16 Nov → | ||
| 11–13 | 0.03 | 23% | 23 Oct → | ||
| 4–13 | -0.03 | 7% | 16 Oct → | ||
| 6–13 | -0.04 | 18% | 16 Oct → | ||
| 13–11 | 0.06 | 20% | 4 Oct → | ||
| 13–11 | 0.02 | 21% | 26 Sept → | ||
| 13–9 | 0.04 | 22% | 24 Sept → | ||
| 4–13 | -0.01 | 17% | 10 Sept → | ||
| 13–6 | 0.17 | 31% | 9 Sept → | ||
| 13–11 | -0.01 | 24% | 6 Sept → | ||
| 6–13 | 0.00 | 31% | 5 Sept → | ||
| 9–13 | -0.01 | 16% | 30 Aug → | ||
| 13–16 | -0.03 | 28% | 29 Aug → | ||
| 5–13 | -0.06 | 20% | 25 Aug → | ||
| 8–13 | -0.04 | 25% | 22 Aug → | ||
| 13–10 | 0.09 | 18% | 21 Aug → | ||
| 7–13 | -0.02 | 18% | 21 Aug → | ||
| 8–13 | -0.03 | 20% | 21 Aug → | ||
| 5–13 | -0.05 | 14% | 21 Aug → | ||
| 13–11 | 0.02 | 17% | 21 Aug → | ||
| 13–6 | -0.02 | 15% | 19 Aug → | ||
| 19–16 | 0.03 | 21% | 18 Aug → | ||
| dogtown | 3–9 | -0.12 | 14% | 13 Aug → | |
| brewery | 8–8 | 0.16 | 30% | 12 Aug → | |
| 8–13 | -0.03 | 26% | 20 Jul → | ||
| 5–13 | 0.03 | 34% | 7 Jul → | ||
| 11–13 | -0.04 | 14% | 8 Jun → | ||
| 13–11 | -0.04 | 16% | 6 Jun → | ||
| 2–13 | -0.10 | 0% | 6 Jun → | ||
| 8–13 | -0.02 | 31% | 5 Jun → | ||
| 14–16 | 0.14 | 30% | 3 Jun → | ||
| 12–16 | -0.01 | 36% | 29 May → | ||
| 13–7 | 0.06 | 21% | 28 May → | ||
| 19–17 | 0.01 | 25% | 28 May → | ||
| 9–13 | -0.08 | 19% | 27 May → | ||
| 9–13 | -0.02 | 12% | 27 May → | ||
| 13–5 | 0.09 | 19% | 26 May → | ||
| 13–5 | -0.03 | 21% | 25 May → | ||
| 9–13 | -0.04 | 19% | 25 May → | ||
| 2–9 | -0.08 | 21% | 24 May → | ||
| 5–9 | 0.05 | 23% | 21 May → | ||
| 13–10 | -0.01 | 36% | 13 May → | ||
| brewery | 3–9 | 0.03 | 44% | 12 May → | |
| 10–12 | -0.00 | 23% | 9 May → | ||
| 13–4 | 0.02 | 18% | 4 May → | ||
| 13–6 | 0.07 | 21% | 27 Apr → | ||
| 8–13 | 0.00 | 19% | 27 Apr → | ||
| 11–13 | -0.02 | 19% | 26 Apr → | ||
| 13–10 | 0.03 | 12% | 18 Apr → | ||
| 13–3 | 0.07 | 38% | 14 Apr → | ||
| 5–13 | 0.05 | 24% | 5 Apr → | ||
| 14–16 | -0.03 | 20% | 30 Mar → | ||
| 9–13 | 0.02 | 25% | 25 Mar → | ||
| 13–10 | 0.03 | 13% | 19 Mar → | ||
| 13–8 | 0.12 | 20% | 18 Mar → | ||
| 14–16 | 0.09 | 34% | 18 Mar → |
Match data via Leetify.