Liik — CS2 Stats
FI76561198038720767[U:1:78455039]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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 57.9% | 52.8% | above |
| Shot accuracy | 13.3% | 13.7% | 0.4% short |
| Kill/death ratio | 1.30 | 1.08 | above |
| Match win rate | 43.4% | 49.2% | 5.8% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 92% playstyle similarity
Most alike: opening-fight frequency, 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
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 55% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 573ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 6.6/10 (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 |
|---|---|---|---|---|---|
| C | 18 | 8–10 | 44% | 0.02 | |
| A | 17 | 10–7 | 59% | 0.04 | |
| C | 16 | 7–9 | 44% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| C | 14 | 6–8 | 43% | 0.03 | |
| B | 11 | 5–6 | 45% | 0.00 | |
| C | 7 | 3–4 | 43% | 0.04 | |
| — | 3 | 0–3 | 0% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Dust 2 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 17 | 71% | 1.36 | 19.4 |
| Anubis | 17 | 71% | 1.30 | 16.5 |
| Ancient | 15 | 67% | 1.34 | 16.8 |
| Nuke | 9 | 56% | 1.35 | 24.9 |
| Mirage | 8 | 38% | 0.81 | 13.3 |
| Train | 2 | 100% | 1.67 | 24.0 |
| Overpass | 2 | 0% | 0.63 | 13.0 |
| Cache | 1 | 100% | 1.60 | 24.0 |
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.
- 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 34.4877% — 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.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.04 | 33% | 23 Aug → | ||
| 6–13 | -0.00 | 37% | 23 Aug → | ||
| 13–10 | 0.04 | 23% | 22 Aug → | ||
| 13–6 | 0.10 | 23% | 22 Aug → | ||
| 13–10 | 0.01 | 13% | 22 Aug → | ||
| 13–6 | 0.04 | 30% | 22 Aug → | ||
| 7–13 | -0.04 | 43% | 22 Aug → | ||
| 15–15 | 0.01 | 22% | 22 Aug → | ||
| 11–13 | 0.00 | 22% | 22 Aug → | ||
| 8–13 | -0.06 | 12% | 22 Aug → | ||
| 13–8 | -0.00 | 16% | 21 Aug → | ||
| 13–10 | 0.00 | 34% | 21 Aug → | ||
| 13–10 | 0.11 | 18% | 21 Aug → | ||
| 13–6 | -0.00 | 16% | 21 Aug → | ||
| 13–7 | 0.00 | 6% | 21 Aug → | ||
| 7–13 | 0.07 | 22% | 16 Aug → | ||
| 6–13 | 0.03 | 21% | 16 Aug → | ||
| 13–8 | 0.02 | 28% | 15 Aug → | ||
| 13–5 | 0.03 | 23% | 30 Jun → | ||
| 10–13 | -0.06 | 28% | 30 Jun → | ||
| 13–10 | 0.03 | 17% | 28 Jun → | ||
| 10–13 | -0.00 | 24% | 28 Jun → | ||
| 11–13 | -0.07 | 21% | 28 Jun → | ||
| 10–13 | 0.10 | 21% | 28 Jun → | ||
| 12–12 | 0.04 | 28% | 30 May → | ||
| 13–4 | 0.06 | 16% | 24 May → | ||
| 10–13 | 0.04 | 23% | 23 May → | ||
| 6–13 | -0.01 | 30% | 23 May → | ||
| 5–13 | -0.05 | 33% | 23 May → | ||
| 13–6 | 0.05 | 17% | 22 May → | ||
| 2–13 | -0.01 | 24% | 22 May → | ||
| 5–13 | -0.03 | 19% | 18 May → | ||
| 13–5 | 0.02 | 38% | 18 May → | ||
| 5–13 | -0.08 | 17% | 18 May → | ||
| 13–11 | -0.07 | 18% | 18 May → | ||
| 3–13 | 0.03 | 14% | 18 May → | ||
| 13–7 | -0.02 | 21% | 9 May → | ||
| 11–13 | 0.05 | 17% | 9 May → | ||
| 9–13 | -0.03 | 24% | 8 May → | ||
| 3–13 | -0.04 | 29% | 7 May → | ||
| 11–6 | 0.04 | 19% | 6 Mar → | ||
| 11–13 | 0.01 | 29% | 6 Mar → | ||
| 7–13 | 0.12 | 17% | 6 Mar → | ||
| 10–13 | -0.03 | 21% | 28 Feb → | ||
| 13–6 | 0.03 | 21% | 28 Feb → | ||
| 11–13 | 0.01 | 29% | 26 Feb → | ||
| 12–16 | -0.01 | 20% | 25 Feb → | ||
| 10–13 | 0.01 | 29% | 16 Feb → | ||
| 13–0 | -0.00 | 0% | 16 Feb → | ||
| 13–8 | 0.05 | 23% | 15 Feb → | ||
| 13–10 | 0.14 | 21% | 14 Feb → | ||
| 10–13 | -0.03 | 22% | 14 Feb → | ||
| 4–13 | -0.03 | 29% | 14 Feb → | ||
| 13–8 | 0.01 | 29% | 14 Feb → | ||
| 9–13 | 0.05 | 25% | 14 Feb → | ||
| 13–10 | 0.04 | 23% | 13 Feb → | ||
| 15–15 | 0.03 | 26% | 13 Feb → | ||
| 5–13 | -0.02 | 21% | 13 Feb → | ||
| 13–10 | 0.02 | 22% | 13 Feb → | ||
| 4–13 | -0.05 | 13% | 13 Feb → | ||
| 13–6 | 0.09 | 12% | 12 Feb → | ||
| 6–13 | -0.02 | 17% | 12 Feb → | ||
| 10–13 | -0.04 | 13% | 12 Feb → | ||
| 10–13 | 0.04 | 16% | 12 Feb → | ||
| 13–6 | 0.03 | 17% | 12 Feb → | ||
| 13–5 | 0.11 | 27% | 10 Feb → | ||
| 13–5 | -0.03 | 19% | 10 Feb → | ||
| 9–13 | 0.03 | 15% | 9 Feb → | ||
| 13–8 | 0.03 | 16% | 8 Feb → | ||
| 8–13 | 0.02 | 21% | 8 Feb → | ||
| 16–14 | 0.05 | 16% | 8 Feb → | ||
| 15–15 | 0.04 | 22% | 7 Feb → | ||
| 13–3 | 0.16 | 22% | 7 Feb → | ||
| 12–12 | 0.11 | 18% | 7 Feb → | ||
| 13–8 | 0.08 | 18% | 7 Feb → | ||
| 13–10 | 0.03 | 12% | 7 Feb → | ||
| 13–9 | 0.10 | 23% | 6 Feb → | ||
| 13–7 | 0.07 | 20% | 6 Feb → | ||
| 13–11 | 0.01 | 12% | 6 Feb → | ||
| 9–13 | 0.03 | 11% | 6 Feb → | ||
| 3–13 | -0.01 | 11% | 6 Feb → | ||
| 5–13 | -0.00 | 16% | 6 Feb → | ||
| 9–13 | 0.01 | 26% | 6 Feb → | ||
| 10–13 | 0.04 | 25% | 6 Feb → | ||
| 13–8 | 0.08 | 20% | 5 Feb → | ||
| 13–11 | 0.04 | 16% | 5 Feb → | ||
| 13–6 | 0.04 | 32% | 5 Feb → | ||
| 12–12 | -0.05 | 25% | 5 Feb → | ||
| 13–9 | 0.02 | 23% | 4 Feb → | ||
| 13–7 | 0.05 | 21% | 4 Feb → | ||
| 13–10 | 0.08 | 15% | 4 Feb → | ||
| 15–15 | -0.04 | 15% | 4 Feb → | ||
| 7–13 | -0.02 | 19% | 4 Feb → | ||
| 2–13 | 0.07 | 19% | 4 Feb → | ||
| 13–9 | 0.05 | 17% | 4 Feb → | ||
| 3–13 | -0.01 | 24% | 4 Feb → | ||
| 4–13 | 0.07 | 21% | 3 Feb → | ||
| 16–12 | 0.02 | 20% | 2 Feb → | ||
| 9–13 | -0.02 | 16% | 2 Feb → | ||
| 13–11 | -0.03 | 24% | 2 Feb → |
Match data via Leetify.
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