Lieth — CS2 Stats
76561198103494476[U:1:143228748]
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 | 58.3% | 52.8% |
| Shot accuracy | 20.7% | 13.7% |
| Kill/death ratio | 0.87 | 1.08 |
| Match win rate | 50.4% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 ropz 91% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower utility contribution; lower opening-duel success.
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 94 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
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 51% on CT to 30% 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 | 30 | 17–13 | 57% | 0.02 | |
| A | 19 | 11–8 | 58% | 0.02 | |
| A | 18 | 11–7 | 61% | 0.03 | |
| B | 13 | 6–7 | 46% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.05 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 440 | 51% | 1.08 | 15.9 |
| Anubis | 303 | 57% | 1.10 | 16.2 |
| Dust2 | 222 | 60% | 1.11 | 15.5 |
| Ancient | 211 | 45% | 1.04 | 15.6 |
| Nuke | 186 | 62% | 1.17 | 16.5 |
| Vertigo | 185 | 55% | 1.12 | 16.6 |
| Inferno | 122 | 55% | 1.10 | 15.7 |
| Overpass | 65 | 55% | 1.10 | 15.8 |
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 0.4813 — 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 29.9659% — 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.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.06 | 14% | 28 Aug → | ||
| 13–16 | 0.03 | 23% | 28 Aug → | ||
| 13–4 | 0.04 | 24% | 28 Aug → | ||
| 10–13 | 0.01 | 18% | 28 Aug → | ||
| 7–13 | -0.04 | 26% | 28 Aug → | ||
| 13–5 | 0.09 | 25% | 27 Aug → | ||
| 15–15 | 0.04 | 27% | 27 Aug → | ||
| 11–13 | 0.00 | 17% | 27 Aug → | ||
| 14–16 | 0.02 | 17% | 27 Aug → | ||
| 13–2 | 0.01 | 32% | 27 Aug → | ||
| 13–4 | 0.06 | 41% | 26 Aug → | ||
| 13–7 | -0.03 | 9% | 26 Aug → | ||
| 13–9 | 0.01 | 34% | 25 Aug → | ||
| 13–1 | 0.06 | 23% | 25 Aug → | ||
| 13–8 | 0.00 | 19% | 25 Aug → | ||
| 13–11 | 0.07 | 41% | 24 Aug → | ||
| 7–13 | -0.01 | 34% | 24 Aug → | ||
| 9–13 | 0.01 | 42% | 24 Aug → | ||
| 6–13 | 0.09 | 28% | 24 Aug → | ||
| 13–7 | -0.00 | 33% | 24 Aug → | ||
| 13–2 | 0.10 | 53% | 23 Aug → | ||
| 13–3 | 0.02 | 31% | 23 Aug → | ||
| 2–3 | 0.02 | 100% | 23 Aug → | ||
| 10–13 | 0.00 | 23% | 23 Aug → | ||
| 6–13 | 0.04 | 26% | 23 Aug → | ||
| 10–13 | 0.00 | 48% | 23 Aug → | ||
| 13–6 | 0.08 | 37% | 23 Aug → | ||
| 5–13 | 0.07 | 24% | 22 Aug → | ||
| 13–11 | -0.02 | 21% | 22 Aug → | ||
| 13–8 | -0.02 | 24% | 22 Aug → | ||
| 13–7 | 0.04 | 27% | 21 Aug → | ||
| 13–8 | 0.05 | 31% | 21 Aug → | ||
| 13–11 | 0.11 | 23% | 21 Aug → | ||
| 16–12 | 0.05 | 14% | 21 Aug → | ||
| 13–11 | 0.05 | 43% | 20 Aug → | ||
| 13–2 | 0.04 | 44% | 20 Aug → | ||
| 13–7 | 0.10 | 31% | 19 Aug → | ||
| 13–7 | 0.06 | 26% | 18 Aug → | ||
| 13–16 | 0.06 | 22% | 18 Aug → | ||
| 13–4 | 0.11 | 31% | 18 Aug → | ||
| 8–13 | 0.04 | 38% | 16 Aug → | ||
| 6–13 | -0.02 | 28% | 15 Aug → | ||
| 11–13 | 0.02 | 24% | 15 Aug → | ||
| 6–13 | -0.01 | 25% | 15 Aug → | ||
| 11–13 | 0.09 | 38% | 14 Aug → | ||
| 13–7 | 0.11 | 28% | 14 Aug → | ||
| 5–13 | -0.01 | 23% | 14 Aug → | ||
| 13–4 | -0.01 | 26% | 14 Aug → | ||
| 13–10 | 0.02 | 26% | 13 Aug → | ||
| 13–3 | 0.01 | 29% | 13 Aug → | ||
| 7–13 | -0.05 | 44% | 12 Aug → | ||
| 13–5 | 0.03 | 22% | 12 Aug → | ||
| 7–13 | 0.05 | 11% | 11 Aug → | ||
| 13–11 | 0.03 | 28% | 11 Aug → | ||
| 13–9 | 0.02 | 32% | 11 Aug → | ||
| 13–11 | -0.01 | 38% | 10 Aug → | ||
| 11–13 | -0.02 | 20% | 10 Aug → | ||
| 2–13 | -0.05 | 25% | 9 Aug → | ||
| 9–13 | 0.10 | 29% | 9 Aug → | ||
| 13–7 | -0.06 | 19% | 9 Aug → | ||
| 2–10 | -0.09 | 24% | 8 Aug → | ||
| 13–3 | 0.05 | 29% | 8 Aug → | ||
| 13–8 | 0.02 | 23% | 7 Aug → | ||
| 11–13 | -0.02 | 30% | 7 Aug → | ||
| 13–10 | -0.03 | 9% | 6 Aug → | ||
| 13–10 | -0.01 | 18% | 6 Aug → | ||
| 13–9 | -0.08 | 19% | 5 Aug → | ||
| 13–7 | 0.08 | 24% | 5 Aug → | ||
| 10–13 | -0.06 | 29% | 5 Aug → | ||
| 10–13 | -0.01 | 27% | 3 Aug → | ||
| 11–13 | -0.00 | 42% | 2 Aug → | ||
| 16–13 | 0.07 | 26% | 2 Aug → | ||
| 11–13 | 0.01 | 25% | 2 Aug → | ||
| 13–8 | 0.02 | 24% | 2 Aug → | ||
| 13–6 | 0.11 | 25% | 2 Aug → | ||
| 4–13 | -0.05 | 21% | 1 Aug → | ||
| 13–7 | 0.05 | 35% | 1 Aug → | ||
| 13–5 | -0.09 | 40% | 1 Aug → | ||
| 14–16 | 0.03 | 27% | 1 Aug → | ||
| 5–13 | 0.01 | 34% | 1 Aug → | ||
| 13–2 | 0.03 | 32% | 31 Jul → | ||
| 11–13 | 0.01 | 27% | 31 Jul → | ||
| 2–13 | -0.07 | 14% | 31 Jul → | ||
| 9–13 | 0.04 | 35% | 30 Jul → | ||
| 9–13 | -0.00 | 23% | 30 Jul → | ||
| 8–13 | 0.07 | 29% | 29 Jul → | ||
| 13–9 | -0.05 | 25% | 28 Jul → | ||
| 13–8 | 0.08 | 16% | 27 Jul → | ||
| 13–9 | 0.05 | 18% | 26 Jul → | ||
| 11–13 | -0.03 | 25% | 26 Jul → | ||
| 13–8 | 0.01 | 18% | 25 Jul → | ||
| 13–8 | 0.01 | 13% | 25 Jul → | ||
| 13–11 | 0.02 | 14% | 25 Jul → | ||
| 11–13 | 0.06 | 21% | 25 Jul → | ||
| 11–13 | -0.00 | 15% | 25 Jul → | ||
| 13–10 | 0.06 | 24% | 25 Jul → | ||
| 13–1 | 0.08 | 19% | 25 Jul → | ||
| 10–13 | -0.01 | 23% | 25 Jul → | ||
| 5–13 | -0.09 | 5% | 23 Jul → | ||
| 13–8 | 0.02 | 19% | 23 Jul → |
Match data via Leetify.