Clavicles — CS2 Stats
US76561198216001764[U:1:255736036]Steam profile ↗
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 | 47.6% | 52.8% |
| Shot accuracy | 12.1% | 13.7% |
| Kill/death ratio | 1.08 | 1.08 |
| Match win rate | 35.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 Twistzz 95% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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. 64% 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 64% on CT to 22% 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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 14–14 | 50% | 0.02 | |
| A | 19 | 11–8 | 58% | 0.01 | |
| S | 17 | 11–6 | 65% | 0.00 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| D | 7 | 2–5 | 29% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 7). 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 143 | 60% | 1.13 | 15.8 |
| Ancient | 83 | 54% | 0.96 | 14.5 |
| Dust2 | 65 | 37% | 0.91 | 14.2 |
| Anubis | 63 | 48% | 0.95 | 15.0 |
| Inferno | 54 | 56% | 0.93 | 13.8 |
| Nuke | 31 | 48% | 1.18 | 16.3 |
| Train | 11 | 45% | 0.97 | 14.8 |
| Vertigo | 7 | 57% | 0.97 | 15.3 |
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 21.7628% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.02 | 22% | 12 Aug → | ||
| 8–13 | -0.02 | 17% | 12 Aug → | ||
| 13–9 | 0.01 | 9% | 12 Aug → | ||
| 7–13 | 0.04 | 30% | 12 Aug → | ||
| 13–9 | -0.02 | 23% | 12 Aug → | ||
| 13–9 | -0.02 | 19% | 12 Aug → | ||
| 13–9 | -0.05 | 17% | 12 Aug → | ||
| 10–13 | 0.01 | 12% | 12 Aug → | ||
| 16–14 | 0.04 | 15% | 12 Aug → | ||
| 16–13 | 0.07 | 25% | 12 Aug → | ||
| 13–8 | 0.01 | 26% | 12 Aug → | ||
| 2–10 | -0.02 | 21% | 12 Aug → | ||
| 13–11 | 0.03 | 13% | 12 Aug → | ||
| 10–13 | 0.01 | 18% | 12 Aug → | ||
| 15–15 | 0.09 | 35% | 12 Aug → | ||
| 15–15 | 0.00 | 20% | 12 Aug → | ||
| 8–13 | -0.02 | 13% | 12 Aug → | ||
| 13–11 | 0.04 | 38% | 11 Aug → | ||
| 13–9 | 0.03 | 29% | 11 Aug → | ||
| 13–11 | -0.05 | 14% | 11 Aug → | ||
| 13–4 | 0.10 | 9% | 6 Aug → | ||
| 16–14 | 0.02 | 15% | 6 Aug → | ||
| 13–16 | -0.03 | 20% | 6 Aug → | ||
| 6–13 | 0.01 | 24% | 6 Aug → | ||
| 5–6 | 0.09 | 23% | 6 Aug → | ||
| 7–13 | 0.04 | 17% | 6 Aug → | ||
| 7–13 | 0.05 | 22% | 6 Aug → | ||
| 8–13 | -0.01 | 17% | 6 Aug → | ||
| 4–13 | -0.02 | 29% | 6 Aug → | ||
| 1–13 | -0.06 | 27% | 6 Aug → | ||
| 13–4 | 0.12 | 20% | 6 Aug → | ||
| 13–5 | 0.18 | 46% | 6 Aug → | ||
| 13–16 | 0.02 | 22% | 6 Aug → | ||
| 13–11 | 0.01 | 24% | 6 Aug → | ||
| 8–13 | 0.02 | 26% | 6 Aug → | ||
| 13–9 | -0.00 | 15% | 6 Aug → | ||
| 14–16 | -0.00 | 24% | 2 Aug → | ||
| 1–13 | -0.11 | 14% | 2 Aug → | ||
| 10–13 | 0.05 | 23% | 2 Aug → | ||
| 7–13 | -0.01 | 26% | 2 Aug → | ||
| 8–13 | -0.01 | 13% | 2 Aug → | ||
| 13–2 | -0.03 | 27% | 2 Aug → | ||
| 13–8 | -0.01 | 15% | 2 Aug → | ||
| 6–13 | -0.03 | 17% | 2 Aug → | ||
| 15–15 | 0.00 | 19% | 2 Aug → | ||
| 1–5 | -0.03 | 23% | 1 Aug → | ||
| 11–13 | -0.04 | 13% | 1 Aug → | ||
| 6–13 | 0.00 | 23% | 1 Aug → | ||
| 13–4 | 0.01 | 12% | 1 Aug → | ||
| 3–13 | -0.00 | 25% | 1 Aug → | ||
| 13–10 | 0.02 | 17% | 1 Aug → | ||
| 13–9 | 0.01 | 14% | 1 Aug → | ||
| 8–13 | -0.05 | 26% | 31 Jul → | ||
| 13–9 | -0.05 | 22% | 31 Jul → | ||
| 13–10 | -0.04 | 17% | 31 Jul → | ||
| 13–3 | -0.02 | 17% | 31 Jul → | ||
| 15–15 | 0.05 | 22% | 23 Jul → | ||
| 13–11 | -0.02 | 14% | 23 Jul → | ||
| 13–9 | -0.04 | 11% | 23 Jul → | ||
| 13–4 | 0.01 | 9% | 23 Jul → | ||
| 13–16 | -0.06 | 19% | 23 Jul → | ||
| 13–3 | 0.07 | 24% | 23 Jul → | ||
| 13–9 | 0.08 | 41% | 23 Jul → | ||
| 13–9 | 0.07 | 14% | 23 Jul → | ||
| 13–7 | 0.01 | 27% | 22 Jul → | ||
| 5–13 | -0.01 | 33% | 22 Jul → | ||
| 12–12 | 0.02 | 15% | 22 Jul → | ||
| 13–8 | 0.06 | 14% | 22 Jul → | ||
| 13–8 | 0.02 | 13% | 19 Jul → | ||
| 13–9 | 0.07 | 15% | 19 Jul → | ||
| 12–16 | 0.02 | 16% | 19 Jul → | ||
| 13–11 | 0.04 | 22% | 19 Jul → | ||
| 8–13 | -0.04 | 12% | 19 Jul → | ||
| 13–11 | -0.01 | 15% | 19 Jul → | ||
| 16–13 | -0.02 | 14% | 19 Jul → | ||
| 13–8 | 0.13 | 25% | 19 Jul → | ||
| 13–4 | 0.08 | 17% | 19 Jul → | ||
| 13–10 | 0.07 | 17% | 19 Jul → | ||
| 13–10 | 0.00 | 16% | 19 Jul → | ||
| 6–13 | -0.05 | 26% | 19 Jul → | ||
| 16–14 | 0.01 | 19% | 18 Jul → | ||
| 13–11 | 0.05 | 25% | 18 Jul → | ||
| 14–16 | 0.01 | 26% | 18 Jul → | ||
| 15–15 | -0.01 | 22% | 18 Jul → | ||
| 6–13 | -0.02 | 23% | 18 Jul → | ||
| 11–13 | -0.03 | 27% | 18 Jul → | ||
| 3–13 | -0.02 | 18% | 18 Jul → | ||
| 9–13 | -0.02 | 22% | 18 Jul → | ||
| 13–9 | -0.06 | 27% | 18 Jul → | ||
| 4–13 | -0.01 | 30% | 17 Jul → | ||
| 3–13 | 0.00 | 19% | 17 Jul → | ||
| 13–7 | 0.12 | 25% | 17 Jul → | ||
| 8–13 | -0.02 | 22% | 17 Jul → | ||
| 13–4 | 0.00 | 27% | 17 Jul → | ||
| 0–13 | -0.06 | 11% | 17 Jul → | ||
| 13–10 | 0.07 | 16% | 13 Jul → | ||
| 5–13 | 0.01 | 21% | 13 Jul → | ||
| 10–13 | -0.01 | 26% | 13 Jul → | ||
| 13–6 | 0.02 | 32% | 13 Jul → | ||
| 13–3 | 0.16 | 25% | 13 Jul → |
Match data via Leetify.