SΛUCA — CS2 Stats
76561198207923436[U:1:247657708]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 31.6% | 42.7% | 44.0% | 12.4% short |
| Shot accuracy | 0.8% | 10.8% | 11.6% | 10.8% short |
| Kill/death ratio | 0.85 | 1.00 | 1.03 | 0.18 short |
| Match win rate | 37.9% | 44.1% | 45.1% | 7.2% short |
This profile sits below the typical Level 5 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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: +40pp win rate · +0.04 avg rating
Player DNA
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 80% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; 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
Areas to improve
Reaction time. 768ms 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 4.4/10 (Developing), 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 | 44 | 23–21 | 52% | 0.00 | |
| A | 22 | 13–9 | 59% | 0.01 | |
| D | 10 | 1–9 | 10% | -0.01 | |
| S | 8 | 6–2 | 75% | 0.02 | |
| D | 8 | 2–6 | 25% | -0.02 | |
| D | 5 | 1–4 | 20% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (10% over 10). 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 184 | 47% | 0.93 | 14.2 |
| Dust2 | 182 | 53% | 1.03 | 15.5 |
| Ancient | 69 | 49% | 0.93 | 13.9 |
| Anubis | 59 | 42% | 0.89 | 15.3 |
| Nuke | 57 | 44% | 0.85 | 13.7 |
| Inferno | 38 | 47% | 0.92 | 14.5 |
| Overpass | 10 | 40% | 1.06 | 16.4 |
| Cache | 6 | 67% | 1.06 | 13.5 |
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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 768.4467ms — above the 700ms mark we flag
- 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 0.4692 — 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 33.1221% — 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.
10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.02 | 22% | 25 Aug → | ||
| 4–13 | -0.02 | 14% | 25 Aug → | ||
| 10–13 | 0.01 | 17% | 17 Aug → | ||
| 13–8 | 0.01 | 11% | 11 Aug → | ||
| 13–11 | 0.03 | 14% | 14 Jul → | ||
| 13–16 | -0.00 | 31% | 10 Jul → | ||
| 13–4 | -0.00 | 11% | 9 Jul → | ||
| 3–13 | -0.03 | 22% | 7 Jul → | ||
| 13–10 | 0.01 | 20% | 3 Jul → | ||
| 13–10 | -0.02 | 15% | 1 Jul → | ||
| 10–13 | -0.01 | 13% | 30 Jun → | ||
| 7–13 | 0.00 | 36% | 29 Jun → | ||
| 3–13 | -0.12 | 0% | 22 Jun → | ||
| 13–3 | -0.06 | 39% | 14 Jun → | ||
| 11–13 | -0.03 | 29% | 11 Jun → | ||
| 10–13 | -0.05 | 9% | 9 Jun → | ||
| 4–13 | -0.04 | 10% | 8 Jun → | ||
| 6–13 | -0.06 | 0% | 6 Jun → | ||
| 16–13 | 0.05 | 20% | 2 Jun → | ||
| 3–13 | -0.07 | 12% | 1 Jun → | ||
| 13–7 | 0.03 | 13% | 1 Jun → | ||
| 13–7 | 0.00 | 19% | 31 May → | ||
| 13–9 | -0.06 | 11% | 24 May → | ||
| 4–13 | -0.06 | 0% | 17 May → | ||
| 13–7 | -0.06 | 21% | 13 May → | ||
| 9–13 | -0.12 | 15% | 9 May → | ||
| 13–3 | 0.05 | 31% | 3 May → | ||
| 13–4 | -0.05 | 20% | 2 May → | ||
| 6–13 | -0.00 | 14% | 17 Apr → | ||
| 3–13 | -0.10 | 8% | 17 Apr → | ||
| 13–5 | -0.06 | 0% | 10 Apr → | ||
| 5–13 | 0.09 | 21% | 3 Apr → | ||
| 11–13 | -0.01 | 8% | 28 Mar → | ||
| 9–13 | -0.01 | 9% | 27 Mar → | ||
| 9–13 | -0.04 | 5% | 22 Mar → | ||
| 13–7 | 0.07 | 9% | 22 Mar → | ||
| 13–9 | -0.06 | 10% | 19 Mar → | ||
| 15–15 | 0.04 | 14% | 19 Mar → | ||
| 13–7 | 0.05 | 15% | 19 Mar → | ||
| 13–7 | 0.10 | 10% | 19 Mar → | ||
| 12–16 | -0.01 | 12% | 18 Mar → | ||
| 9–13 | 0.07 | 20% | 18 Mar → | ||
| 13–9 | -0.01 | 4% | 18 Mar → | ||
| 13–16 | 0.06 | 13% | 17 Mar → | ||
| 13–16 | -0.00 | 11% | 17 Mar → | ||
| 13–11 | 0.03 | 9% | 16 Mar → | ||
| 13–7 | 0.02 | 11% | 16 Mar → | ||
| 13–11 | 0.06 | 8% | 15 Mar → | ||
| 13–9 | 0.04 | 7% | 15 Mar → | ||
| 13–1 | -0.09 | 6% | 15 Mar → | ||
| 5–13 | -0.06 | 22% | 15 Mar → | ||
| 13–1 | 0.02 | 12% | 14 Mar → | ||
| 13–10 | -0.04 | 15% | 14 Mar → | ||
| 8–13 | 0.10 | 15% | 13 Mar → | ||
| 7–13 | -0.05 | 4% | 13 Mar → | ||
| 13–7 | 0.00 | 11% | 11 Mar → | ||
| 13–11 | 0.05 | 18% | 11 Mar → | ||
| 6–13 | 0.07 | 50% | 10 Mar → | ||
| 11–13 | 0.03 | 6% | 9 Mar → | ||
| 3–13 | -0.06 | 14% | 9 Mar → | ||
| 13–9 | 0.02 | 16% | 8 Mar → | ||
| 13–7 | -0.01 | 30% | 8 Mar → | ||
| 13–16 | -0.03 | 8% | 8 Mar → | ||
| 14–16 | 0.06 | 16% | 7 Mar → | ||
| 8–13 | -0.04 | 13% | 7 Mar → | ||
| 15–15 | -0.03 | 7% | 6 Mar → | ||
| 13–7 | 0.12 | 19% | 6 Mar → | ||
| 8–13 | -0.02 | 9% | 6 Mar → | ||
| 10–13 | -0.09 | 8% | 5 Mar → | ||
| 13–10 | -0.05 | 19% | 5 Mar → | ||
| 13–10 | 0.02 | 24% | 5 Mar → | ||
| 15–15 | 0.01 | 14% | 3 Mar → | ||
| 13–10 | -0.06 | 17% | 27 Feb → | ||
| 9–13 | -0.07 | 10% | 27 Feb → | ||
| 1–13 | -0.01 | 14% | 27 Feb → | ||
| 7–13 | -0.00 | 16% | 27 Feb → | ||
| 13–10 | 0.01 | 13% | 27 Feb → | ||
| 11–13 | -0.02 | 15% | 26 Feb → | ||
| 13–8 | 0.10 | 17% | 25 Feb → | ||
| 9–13 | 0.00 | 6% | 25 Feb → | ||
| 13–4 | 0.03 | 18% | 25 Feb → | ||
| 13–8 | 0.01 | 21% | 25 Feb → | ||
| 13–9 | 0.06 | 19% | 24 Feb → | ||
| 13–0 | 0.08 | 38% | 24 Feb → | ||
| 13–5 | 0.11 | 21% | 24 Feb → | ||
| 5–13 | 0.01 | 20% | 24 Feb → | ||
| 8–13 | 0.09 | 16% | 22 Feb → | ||
| 4–13 | -0.07 | 9% | 22 Feb → | ||
| 10–13 | -0.04 | 6% | 22 Feb → | ||
| 5–13 | -0.01 | 17% | 20 Feb → | ||
| 13–5 | -0.02 | 15% | 20 Feb → | ||
| 13–3 | 0.14 | 25% | 20 Feb → | ||
| 10–13 | -0.01 | 14% | 19 Feb → | ||
| 7–13 | 0.01 | 22% | 19 Feb → | ||
| 10–13 | -0.01 | 35% | 19 Feb → | ||
| 13–8 | 0.04 | 28% | 19 Feb → | ||
| 9–13 | -0.01 | 16% | 19 Feb → | ||
| 13–8 | 0.09 | 19% | 18 Feb → | ||
| 13–4 | 0.08 | 14% | 18 Feb → | ||
| 6–13 | 0.02 | 15% | 18 Feb → |
Match data via Leetify.