KEVERRR — CS2 Stats
DK76561199372997287[U:1:1412731559]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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 60.3% | 52.8% | above |
| Shot accuracy | 0.0% | 13.7% | 13.7% short |
| Kill/death ratio | 0.88 | 1.08 | 0.20 short |
| Match win rate | 45.4% | 49.2% | 3.8% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: +10pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 89% playstyle similarity
Most alike: opening-duel success, 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
Areas to improve
T-side openings. Opening success drops from 60% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 581ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
| C | 25 | 9–16 | 36% | -0.01 | |
| C | 22 | 9–13 | 41% | -0.02 | |
| C | 14 | 6–8 | 43% | 0.00 | |
| A | 11 | 6–5 | 55% | -0.00 | |
| C | 9 | 4–5 | 44% | -0.03 | |
| D | 6 | 2–4 | 33% | -0.00 | |
| B | 6 | 3–3 | 50% | -0.02 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 607 | 51% | 0.97 | 16.1 |
| Nuke | 429 | 59% | 1.00 | 15.6 |
| Inferno | 389 | 52% | 0.92 | 15.4 |
| Dust2 | 320 | 46% | 0.92 | 15.2 |
| Anubis | 299 | 41% | 0.93 | 15.7 |
| Mirage | 265 | 46% | 0.85 | 14.7 |
| Vertigo | 262 | 51% | 0.96 | 15.8 |
| Train | 133 | 53% | 0.89 | 15.9 |
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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.05 | 22% | 27 Aug → | ||
| 13–11 | 0.04 | 33% | 3 Jul → | ||
| 13–5 | 0.06 | 37% | 3 Jul → | ||
| 10–13 | -0.05 | 32% | 3 Jul → | ||
| 13–6 | -0.01 | 34% | 3 Jul → | ||
| 10–13 | -0.02 | 19% | 3 Jul → | ||
| 11–13 | 0.02 | 30% | 1 Jul → | ||
| 19–16 | -0.05 | 19% | 29 May → | ||
| 8–13 | -0.07 | 24% | 24 May → | ||
| 16–13 | -0.06 | 30% | 24 May → | ||
| 13–6 | 0.15 | 27% | 24 May → | ||
| 13–8 | 0.06 | 28% | 23 May → | ||
| 13–11 | 0.01 | 30% | 23 May → | ||
| 4–13 | 0.03 | 32% | 22 May → | ||
| 9–13 | -0.02 | 28% | 21 May → | ||
| 8–13 | -0.02 | 32% | 18 May → | ||
| 13–9 | -0.00 | 32% | 18 May → | ||
| 4–13 | -0.07 | 17% | 17 May → | ||
| 8–13 | 0.01 | 30% | 17 May → | ||
| 13–9 | 0.07 | 35% | 5 May → | ||
| 13–11 | -0.02 | 24% | 2 May → | ||
| 11–13 | 0.01 | 30% | 28 Apr → | ||
| 13–9 | 0.02 | 30% | 28 Apr → | ||
| 19–17 | -0.05 | 23% | 24 Apr → | ||
| 13–7 | 0.00 | 23% | 18 Apr → | ||
| 13–4 | 0.06 | 31% | 14 Apr → | ||
| 13–7 | 0.02 | 28% | 14 Apr → | ||
| 10–13 | 0.09 | 28% | 14 Apr → | ||
| 1–13 | -0.05 | 29% | 14 Apr → | ||
| 10–13 | -0.03 | 31% | 13 Apr → | ||
| 13–2 | 0.04 | 29% | 13 Apr → | ||
| 8–13 | -0.04 | 27% | 10 Apr → | ||
| 13–6 | 0.01 | 42% | 9 Apr → | ||
| 2–9 | -0.14 | 67% | 5 Apr → | ||
| 10–13 | -0.01 | 38% | 3 Apr → | ||
| 9–13 | -0.01 | 21% | 30 Mar → | ||
| 13–9 | -0.07 | 30% | 30 Mar → | ||
| 11–13 | -0.04 | 27% | 24 Mar → | ||
| 13–6 | -0.08 | 21% | 24 Mar → | ||
| 7–13 | -0.02 | 33% | 24 Mar → | ||
| 12–16 | -0.01 | 21% | 20 Mar → | ||
| 13–6 | -0.04 | 23% | 17 Mar → | ||
| 8–8 | -0.08 | 26% | 16 Mar → | ||
| 13–5 | 0.07 | 31% | 14 Mar → | ||
| 10–13 | -0.00 | 31% | 14 Mar → | ||
| 7–13 | -0.02 | 29% | 11 Mar → | ||
| 10–13 | -0.01 | 36% | 6 Mar → | ||
| 7–13 | 0.00 | 23% | 5 Mar → | ||
| 13–9 | 0.03 | 50% | 4 Mar → | ||
| 10–13 | -0.01 | 27% | 3 Mar → | ||
| 13–6 | 0.02 | 20% | 10 Feb → | ||
| 13–11 | -0.03 | 37% | 10 Feb → | ||
| 13–7 | 0.02 | 35% | 10 Feb → | ||
| 11–13 | -0.01 | 24% | 9 Feb → | ||
| 3–13 | -0.03 | 23% | 8 Feb → | ||
| 7–13 | -0.02 | 22% | 6 Feb → | ||
| 4–13 | -0.02 | 14% | 4 Feb → | ||
| 6–13 | -0.02 | 40% | 26 Jan → | ||
| 13–7 | 0.02 | 27% | 24 Jan → | ||
| 13–8 | 0.04 | 33% | 21 Jan → | ||
| 6–13 | -0.01 | 29% | 9 Jan → | ||
| 13–10 | -0.02 | 41% | 7 Jan → | ||
| 3–13 | -0.03 | 19% | 2 Jan → | ||
| 11–13 | 0.05 | 34% | 25 Dec → | ||
| 5–13 | -0.09 | 19% | 21 Dec → | ||
| 11–13 | -0.06 | 20% | 19 Dec → | ||
| 8–13 | 0.05 | 27% | 17 Dec → | ||
| 13–11 | -0.03 | 26% | 17 Dec → | ||
| 6–13 | -0.06 | 29% | 15 Dec → | ||
| 13–10 | -0.02 | 14% | 7 Dec → | ||
| 14–16 | 0.02 | 41% | 4 Dec → | ||
| 13–7 | 0.09 | 50% | 1 Dec → | ||
| 13–8 | 0.03 | 30% | 25 Nov → | ||
| 17–19 | 0.02 | 31% | 14 Nov → | ||
| 10–13 | 0.04 | 33% | 11 Nov → | ||
| 16–14 | -0.06 | 25% | 10 Nov → | ||
| 9–13 | -0.07 | 33% | 7 Nov → | ||
| 2–13 | -0.03 | 32% | 1 Nov → | ||
| 12–16 | -0.02 | 33% | 1 Nov → | ||
| 9–13 | 0.04 | 38% | 27 Oct → | ||
| 13–10 | -0.06 | 26% | 20 Oct → | ||
| 13–5 | -0.06 | 23% | 20 Oct → | ||
| 13–9 | -0.02 | 31% | 17 Oct → | ||
| 17–19 | -0.01 | 29% | 13 Oct → | ||
| 11–13 | -0.05 | 32% | 13 Oct → | ||
| 5–13 | -0.02 | 28% | 6 Oct → | ||
| 13–11 | 0.02 | 28% | 6 Oct → | ||
| 8–13 | -0.09 | 24% | 29 Sept → | ||
| 11–13 | 0.05 | 23% | 27 Sept → | ||
| 13–11 | -0.03 | 33% | 25 Sept → | ||
| 19–17 | -0.04 | 28% | 19 Sept → | ||
| 8–13 | -0.04 | 24% | 17 Sept → | ||
| 5–13 | -0.07 | 27% | 16 Sept → | ||
| 13–8 | 0.01 | 32% | 16 Sept → | ||
| 11–13 | -0.04 | 26% | 13 Sept → | ||
| 5–13 | 0.10 | 27% | 10 Sept → | ||
| 13–5 | 0.01 | 37% | 8 Sept → | ||
| 9–13 | -0.02 | 32% | 8 Sept → | ||
| 3–13 | -0.05 | 13% | 6 Sept → | ||
| 10–13 | -0.05 | 19% | 5 Sept → |
Match data via Leetify.