SiBN — CS2 Stats
CK76561199259575657[U:1:1299309929]Steam profile ↗
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 48.4% | 47.2% | 49.0% | meets |
| Shot accuracy | 1.5% | 12.3% | 13.1% | 11.6% short |
| Kill/death ratio | 1.30 | 1.07 | 1.08 | above |
| Match win rate | 51.7% | 46.3% | 46.9% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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 · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
High utility contribution
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 92% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: lower aim profile; higher opening-fight frequency.
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
Utility. Utility score of 76 — grenade impact well above the norm.
Areas to improve
Reaction time. 566ms 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 (×1.00 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 | 33 | 14–19 | 42% | 0.01 | |
| D | 15 | 5–10 | 33% | 0.02 | |
| B | 13 | 6–7 | 46% | 0.03 | |
| C | 12 | 5–7 | 42% | 0.03 | |
| S | 12 | 8–4 | 67% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 4 | 3–1 | 75% | 0.07 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.06 | |
| palacio | — | 1 | 0–1 | 0% | -0.02 |
| golden | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 15). 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 5 | 80% | 0.90 | 13.6 |
| Mirage | 3 | 100% | 0.54 | 9.7 |
| Nuke | 2 | 100% | 0.97 | 15.5 |
| Ancient | 1 | 100% | 1.07 | 15.0 |
| Inferno | 1 | 100% | 1.40 | 21.0 |
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 37.9939% — 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.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.01 | 11% | 25 Aug → | ||
| 13–10 | -0.01 | 25% | 24 Aug → | ||
| 13–0 | 0.06 | 16% | 24 Aug → | ||
| 13–6 | -0.00 | 30% | 24 Aug → | ||
| 11–13 | -0.04 | 32% | 24 Aug → | ||
| 4–13 | 0.00 | 0% | 12 Apr → | ||
| 16–14 | 0.05 | 15% | 5 Apr → | ||
| 10–13 | -0.01 | 19% | 5 Apr → | ||
| 16–13 | 0.07 | 14% | 4 Apr → | ||
| 13–9 | 0.06 | 23% | 4 Apr → | ||
| 13–7 | 0.06 | 27% | 4 Apr → | ||
| 13–7 | 0.14 | 25% | 2 Apr → | ||
| 13–8 | 0.04 | 9% | 2 Apr → | ||
| 9–13 | 0.07 | 8% | 26 Mar → | ||
| 13–10 | 0.05 | 18% | 26 Mar → | ||
| 8–13 | 0.01 | 15% | 22 Mar → | ||
| 10–13 | 0.01 | 16% | 20 Mar → | ||
| 13–8 | 0.08 | 27% | 14 Mar → | ||
| 13–11 | 0.02 | 10% | 14 Mar → | ||
| 7–13 | 0.09 | 22% | 14 Mar → | ||
| 5–13 | -0.08 | 8% | 13 Mar → | ||
| 13–8 | 0.04 | 26% | 13 Mar → | ||
| 6–13 | -0.02 | 19% | 13 Mar → | ||
| 13–7 | 0.06 | 14% | 6 Mar → | ||
| 13–0 | 0.10 | 9% | 6 Mar → | ||
| 13–2 | 0.10 | 16% | 6 Mar → | ||
| 10–13 | -0.05 | 13% | 6 Mar → | ||
| 6–13 | -0.00 | 15% | 6 Mar → | ||
| 8–13 | 0.00 | 12% | 6 Mar → | ||
| 10–13 | 0.04 | 16% | 6 Mar → | ||
| 7–13 | 0.03 | 18% | 5 Mar → | ||
| 7–13 | 0.01 | 27% | 5 Mar → | ||
| 13–8 | 0.04 | 18% | 5 Mar → | ||
| 5–13 | 0.04 | 16% | 5 Mar → | ||
| 9–13 | -0.06 | 23% | 5 Mar → | ||
| 13–10 | 0.08 | 15% | 3 Mar → | ||
| 13–11 | 0.04 | 22% | 3 Mar → | ||
| 13–6 | 0.17 | 18% | 3 Mar → | ||
| 6–13 | 0.01 | 15% | 3 Mar → | ||
| 13–11 | 0.04 | 33% | 2 Mar → | ||
| 13–5 | 0.06 | 29% | 2 Mar → | ||
| 13–9 | 0.02 | 14% | 2 Mar → | ||
| 7–13 | -0.02 | 8% | 2 Mar → | ||
| 9–13 | 0.03 | 16% | 2 Mar → | ||
| 13–7 | 0.08 | 15% | 1 Mar → | ||
| 6–13 | 0.01 | 13% | 1 Mar → | ||
| 13–8 | 0.02 | 11% | 1 Mar → | ||
| 10–8 | 0.01 | 7% | 16 Feb → | ||
| 8–13 | -0.05 | 23% | 16 Feb → | ||
| 13–11 | -0.02 | 10% | 15 Feb → | ||
| 13–8 | 0.06 | 15% | 15 Feb → | ||
| 9–13 | -0.01 | 11% | 15 Feb → | ||
| 13–7 | 0.04 | 13% | 15 Feb → | ||
| 9–13 | 0.01 | 15% | 2 Feb → | ||
| 16–13 | 0.03 | 12% | 2 Feb → | ||
| 13–9 | -0.02 | 7% | 1 Feb → | ||
| 13–1 | -0.03 | 7% | 1 Feb → | ||
| 8–13 | -0.00 | 23% | 1 Feb → | ||
| 10–13 | 0.00 | 17% | 24 Jan → | ||
| 13–9 | 0.05 | 18% | 7 Nov → | ||
| 11–13 | 0.02 | 22% | 7 Nov → | ||
| 5–13 | -0.01 | 19% | 7 Nov → | ||
| 13–7 | 0.02 | 20% | 2 Nov → | ||
| 13–7 | 0.05 | 29% | 2 Nov → | ||
| 13–5 | 0.12 | 17% | 2 Nov → | ||
| 11–13 | 0.11 | 25% | 31 Oct → | ||
| 10–13 | 0.07 | 14% | 31 Oct → | ||
| 13–1 | 0.04 | 15% | 31 Oct → | ||
| 13–6 | 0.12 | 23% | 31 Oct → | ||
| 11–13 | 0.06 | 14% | 31 Oct → | ||
| 4–13 | -0.04 | 20% | 30 Oct → | ||
| 13–8 | -0.01 | 17% | 25 Oct → | ||
| 11–13 | 0.02 | 13% | 25 Oct → | ||
| 13–6 | 0.07 | 12% | 25 Oct → | ||
| 10–13 | 0.02 | 13% | 23 Oct → | ||
| 11–13 | -0.03 | 24% | 23 Oct → | ||
| 13–6 | -0.02 | 23% | 23 Oct → | ||
| 7–13 | -0.00 | 12% | 17 Oct → | ||
| 7–13 | -0.06 | 15% | 12 Oct → | ||
| 7–13 | -0.02 | 13% | 12 Oct → | ||
| 9–13 | -0.04 | 17% | 12 Oct → | ||
| 6–13 | 0.05 | 10% | 11 Oct → | ||
| 16–14 | 0.04 | 15% | 5 Oct → | ||
| 11–13 | 0.02 | 12% | 5 Oct → | ||
| 13–6 | 0.08 | 24% | 4 Oct → | ||
| 2–13 | -0.03 | 22% | 4 Oct → | ||
| 13–6 | 0.06 | 12% | 4 Oct → | ||
| 11–13 | -0.01 | 11% | 4 Oct → | ||
| 13–8 | 0.09 | 18% | 3 Oct → | ||
| palacio | 9–13 | -0.02 | 24% | 3 Oct → | |
| golden | 13–9 | 0.03 | 18% | 3 Oct → | |
| 10–13 | -0.00 | 16% | 28 Sept → | ||
| 12–12 | 0.06 | 17% | 28 Sept → | ||
| 7–13 | 0.01 | 10% | 27 Sept → | ||
| 7–13 | -0.01 | 20% | 27 Sept → | ||
| 12–12 | 0.03 | 16% | 27 Sept → | ||
| 6–13 | 0.04 | 20% | 27 Sept → | ||
| 4–13 | 0.01 | 23% | 20 Sept → | ||
| 4–13 | 0.02 | 17% | 20 Sept → | ||
| 3–13 | -0.05 | 20% | 20 Sept → |
Match data via Leetify.