bodycams' off — CS2 Stats
76561199439237171[U:1:1478971443]✓ No bans
Rating over time
Premier CS Rating
- 80 below peak (16,412)
- Next: Pink band at 20,000 — 3,668 to go
- Reached: Purple band · Blue band · Light Blue band
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 43.6% | 48.1% | 4.5% short |
| Shot accuracy | 1.0% | 12.9% | 11.8% short |
| Kill/death ratio | 0.88 | 1.08 | 0.21 short |
| Match win rate | 46.3% | 46.5% | meets |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band 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 · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 86% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Reaction time. 602ms 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 5.0/10 (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 |
|---|---|---|---|---|---|
| C | 18 | 8–10 | 44% | -0.02 | |
| B | 18 | 9–9 | 50% | 0.01 | |
| C | 14 | 6–8 | 43% | 0.00 | |
| B | 13 | 7–6 | 54% | 0.00 | |
| B | 13 | 7–6 | 54% | -0.00 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| A | 11 | 6–5 | 55% | -0.00 | |
| — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Mirage 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 1 | 0% | 1.14 | 16.0 |
| Inferno | 1 | 100% | 0.82 | 9.0 |
| Mirage | 1 | 100% | 0.82 | 14.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8722 — below the 4 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 | |
|---|---|---|---|---|---|
| 13–5 | 0.05 | 28% | 28 Aug → | ||
| 9–13 | -0.00 | 24% | 28 Aug → | ||
| 11–13 | -0.06 | 35% | 28 Aug → | ||
| 13–6 | 0.03 | 14% | 28 Aug → | ||
| 13–9 | -0.00 | 16% | 28 Aug → | ||
| 14–16 | -0.08 | 14% | 28 Aug → | ||
| 13–3 | 0.07 | 32% | 28 Aug → | ||
| 13–10 | -0.00 | 16% | 28 Aug → | ||
| 11–13 | 0.00 | 31% | 28 Aug → | ||
| 10–13 | -0.03 | 26% | 27 Aug → | ||
| 13–11 | 0.06 | 28% | 27 Aug → | ||
| 13–2 | 0.08 | 18% | 27 Aug → | ||
| 8–13 | -0.08 | 17% | 27 Aug → | ||
| 4–13 | 0.00 | 18% | 26 Aug → | ||
| 9–13 | -0.04 | 14% | 25 Aug → | ||
| 13–9 | 0.04 | 20% | 25 Aug → | ||
| 10–13 | 0.00 | 27% | 25 Aug → | ||
| 9–13 | -0.04 | 18% | 25 Aug → | ||
| 1–13 | -0.08 | 15% | 25 Aug → | ||
| 13–10 | 0.04 | 16% | 24 Aug → | ||
| 11–13 | -0.02 | 13% | 24 Aug → | ||
| 14–16 | -0.03 | 11% | 23 Aug → | ||
| 13–6 | 0.02 | 17% | 23 Aug → | ||
| 13–6 | 0.03 | 18% | 23 Aug → | ||
| 14–16 | 0.05 | 18% | 23 Aug → | ||
| 13–6 | -0.04 | 11% | 23 Aug → | ||
| 13–4 | -0.01 | 25% | 23 Aug → | ||
| 4–13 | -0.01 | 19% | 23 Aug → | ||
| 13–6 | 0.02 | 20% | 22 Aug → | ||
| 8–13 | -0.03 | 26% | 22 Aug → | ||
| 13–4 | 0.02 | 14% | 22 Aug → | ||
| 13–11 | -0.03 | 23% | 22 Aug → | ||
| 13–10 | 0.03 | 15% | 22 Aug → | ||
| 16–13 | -0.01 | 24% | 22 Aug → | ||
| 13–9 | -0.02 | 20% | 22 Aug → | ||
| 13–10 | 0.06 | 20% | 21 Aug → | ||
| 11–13 | 0.00 | 17% | 21 Aug → | ||
| 13–10 | 0.04 | 25% | 21 Aug → | ||
| 15–15 | 0.04 | 11% | 21 Aug → | ||
| 10–13 | 0.05 | 14% | 21 Aug → | ||
| 7–13 | -0.03 | 16% | 21 Aug → | ||
| 13–7 | 0.00 | 17% | 20 Aug → | ||
| 10–13 | -0.06 | 10% | 20 Aug → | ||
| 13–6 | -0.00 | 24% | 20 Aug → | ||
| 14–16 | 0.07 | 14% | 19 Aug → | ||
| 6–13 | -0.03 | 24% | 19 Aug → | ||
| 13–8 | -0.05 | 26% | 19 Aug → | ||
| 15–15 | 0.05 | 14% | 18 Aug → | ||
| 13–5 | 0.08 | 0% | 18 Aug → | ||
| 13–9 | 0.04 | 30% | 18 Aug → | ||
| 13–7 | 0.00 | 12% | 18 Aug → | ||
| 13–2 | 0.05 | 21% | 18 Aug → | ||
| 10–13 | -0.07 | 11% | 18 Aug → | ||
| 13–9 | 0.00 | 9% | 14 Aug → | ||
| 11–13 | 0.05 | 13% | 14 Aug → | ||
| 13–7 | 0.07 | 11% | 13 Aug → | ||
| 10–13 | -0.03 | 18% | 13 Aug → | ||
| 6–13 | 0.03 | 16% | 13 Aug → | ||
| 13–11 | -0.01 | 17% | 12 Aug → | ||
| 14–16 | -0.05 | 14% | 12 Aug → | ||
| 13–7 | -0.01 | 16% | 11 Aug → | ||
| 13–11 | -0.04 | 17% | 7 Aug → | ||
| 9–13 | -0.03 | 12% | 6 Aug → | ||
| 14–16 | -0.03 | 17% | 6 Aug → | ||
| 5–13 | -0.06 | 11% | 6 Aug → | ||
| 13–11 | -0.05 | 12% | 6 Aug → | ||
| 4–13 | -0.00 | 21% | 6 Aug → | ||
| 12–16 | -0.02 | 19% | 5 Aug → | ||
| 11–13 | -0.03 | 13% | 4 Aug → | ||
| 3–2 | 0.01 | 33% | 4 Aug → | ||
| 13–5 | 0.04 | 12% | 2 Aug → | ||
| 13–5 | -0.02 | 16% | 2 Aug → | ||
| 13–4 | -0.01 | 14% | 2 Aug → | ||
| 13–10 | 0.05 | 27% | 2 Aug → | ||
| 13–2 | -0.04 | 13% | 2 Aug → | ||
| 3–13 | -0.10 | 17% | 2 Aug → | ||
| 13–7 | -0.05 | 20% | 2 Aug → | ||
| 10–13 | -0.02 | 18% | 2 Aug → | ||
| 4–13 | -0.03 | 11% | 2 Aug → | ||
| 4–13 | -0.02 | 28% | 2 Aug → | ||
| 13–10 | -0.02 | 17% | 2 Aug → | ||
| 13–11 | -0.02 | 18% | 2 Aug → | ||
| 3–13 | -0.03 | 21% | 2 Aug → | ||
| 13–10 | -0.05 | 10% | 1 Aug → | ||
| 11–13 | -0.03 | 14% | 1 Aug → | ||
| 5–13 | -0.06 | 30% | 1 Aug → | ||
| 10–13 | -0.05 | 18% | 1 Aug → | ||
| 13–7 | -0.03 | 15% | 1 Aug → | ||
| 13–4 | 0.06 | 23% | 1 Aug → | ||
| 15–15 | 0.03 | 31% | 1 Aug → | ||
| 7–13 | 0.01 | 19% | 1 Aug → | ||
| 7–13 | -0.03 | 22% | 1 Aug → | ||
| 13–10 | 0.01 | 15% | 1 Aug → | ||
| 2–13 | -0.03 | 19% | 1 Aug → | ||
| 8–13 | 0.02 | 23% | 1 Aug → | ||
| 14–16 | -0.04 | 10% | 31 Jul → | ||
| 13–10 | 0.01 | 22% | 31 Jul → | ||
| 13–9 | 0.04 | 15% | 31 Jul → | ||
| 13–8 | 0.06 | 13% | 31 Jul → | ||
| 16–13 | 0.11 | 13% | 31 Jul → |
Match data via Leetify.