cloud — CS2 Stats
76561198100345529[U:1:140079801]✓ 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 |
|---|---|---|
| Headshot rate | 40.2% | 52.8% |
| Shot accuracy | 17.0% | 13.7% |
| Kill/death ratio | 1.70 | 1.08 |
| Match win rate | 60.8% | 49.2% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
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: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerLimited 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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution.
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
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
 dust2 | S | 29 | 19–10 | 66% | 0.04 |
 mirage | B | 22 | 10–12 | 45% | 0.04 |
 inferno | C | 18 | 8–10 | 44% | 0.04 |
 nuke | B | 10 | 5–5 | 50% | -0.01 |
 overpass | A | 7 | 4–3 | 57% | 0.08 |
 cache | — | 3 | 2–1 | 67% | 0.11 |
 anubis | — | 3 | 3–0 | 100% | 0.10 |
 vertigo | — | 3 | 2–1 | 67% | 0.04 |
 train | — | 3 | 3–0 | 100% | 0.09 |
 ancient | — | 1 | 1–0 | 100% | 0.12 |
| office | — | 1 | 1–0 | 100% | 0.19 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (44% over 18). 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 118 | 42% | 1.11 | 15.8 |
| Dust2 | 105 | 58% | 1.18 | 16.0 |
| Inferno | 105 | 54% | 1.17 | 16.9 |
| Nuke | 72 | 44% | 1.13 | 15.4 |
| Anubis | 52 | 58% | 1.20 | 16.8 |
| Cache | 8 | 88% | 2.01 | 17.9 |
| Train | 5 | 60% | 1.07 | 15.6 |
| Ancient | 3 | 33% | 1.01 | 16.7 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4662 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 2–5 | 0.03 | 60% | 15 Aug → | |
| dust2 | 13–7 | 0.10 | 36% | 10 Aug → | |
| inferno | 13–4 | 0.11 | 26% | 9 Aug → | |
| cache | 12–16 | 0.11 | 33% | 9 Aug → | |
| inferno | 9–13 | 0.05 | 15% | 9 Aug → | |
| dust2 | 13–4 | -0.01 | 16% | 9 Aug → | |
| mirage | 13–6 | 0.01 | 16% | 31 Jul → | |
| dust2 | 10–13 | -0.01 | 23% | 31 Jul → | |
| nuke | 13–7 | 0.01 | 20% | 29 Jul → | |
| mirage | 1–5 | -0.00 | 40% | 27 Jul → | |
| dust2 | 1–13 | 0.00 | 55% | 27 Jul → | |
| mirage | 13–3 | 0.03 | 59% | 22 Jul → | |
| mirage | 13–3 | 0.18 | 33% | 16 Jul → | |
| cache | 13–7 | 0.03 | 19% | 16 Jul → | |
| dust2 | 13–8 | 0.01 | 26% | 15 Jul → | |
| dust2 | 6–13 | 0.01 | 11% | 12 Jun → | |
| mirage | 0–5 | 0.00 | 0% | 10 Jun → | |
| dust2 | 13–5 | 0.12 | 21% | 10 Jun → | |
| inferno | 0–3 | -0.06 | 0% | 10 Jun → | |
| mirage | 13–8 | 0.01 | 20% | 7 Jun → | |
| inferno | 13–10 | 0.03 | 23% | 7 Jun → | |
| mirage | 8–13 | -0.02 | 19% | 7 Jun → | |
| overpass | 13–10 | 0.03 | 19% | 7 Jun → | |
| dust2 | 13–11 | 0.01 | 21% | 7 Jun → | |
| mirage | 13–5 | 0.11 | 21% | 5 Jun → | |
| mirage | 13–6 | 0.13 | 27% | 30 May → | |
| overpass | 13–7 | 0.09 | 16% | 30 May → | |
| dust2 | 13–8 | 0.05 | 20% | 30 May → | |
| anubis | 13–6 | 0.08 | 30% | 30 May → | |
| mirage | 7–13 | 0.08 | 23% | 30 May → | |
| dust2 | 6–13 | 0.00 | 46% | 20 May → | |
| inferno | 4–13 | -0.03 | 21% | 15 May → | |
| nuke | 14–16 | -0.01 | 24% | 13 May → | |
| inferno | 11–13 | 0.02 | 23% | 13 May → | |
| nuke | 7–13 | -0.04 | 15% | 8 May → | |
| vertigo | 13–2 | 0.16 | 38% | 4 May → | |
| dust2 | 13–5 | 0.08 | 31% | 3 May → | |
| cache | 13–6 | 0.19 | 34% | 3 May → | |
| vertigo | 4–13 | -0.03 | 40% | 11 Apr → | |
| dust2 | 12–16 | -0.01 | 28% | 10 Apr → | |
| dust2 | 13–7 | -0.04 | 23% | 27 Mar → | |
| mirage | 6–13 | -0.01 | 26% | 27 Mar → | |
| dust2 | 3–13 | -0.04 | 31% | 6 Mar → | |
| mirage | 6–13 | -0.03 | 24% | 30 Jan → | |
| inferno | 16–13 | 0.03 | 17% | 28 Jan → | |
| dust2 | 13–6 | 0.01 | 26% | 23 Jan → | |
| mirage | 7–13 | -0.02 | 17% | 21 Jan → | |
| dust2 | 13–9 | 0.07 | 28% | 21 Jan → | |
| mirage | 10–13 | 0.07 | 22% | 16 Jan → | |
| inferno | 13–4 | 0.07 | 17% | 16 Jan → | |
| mirage | 5–13 | -0.01 | 32% | 14 Jan → | |
| anubis | 13–7 | 0.06 | 19% | 12 Jan → | |
| inferno | 11–13 | 0.07 | 27% | 12 Jan → | |
| dust2 | 16–14 | 0.01 | 19% | 9 Jan → | |
| inferno | 10–13 | 0.04 | 28% | 9 Jan → | |
| anubis | 13–8 | 0.16 | 25% | 3 Jan → | |
| train | 12–1 | 0.05 | 48% | 1 Jan → | |
| dust2 | 8–13 | 0.09 | 26% | 21 Dec → | |
| overpass | 7–13 | 0.12 | 17% | 16 Dec → | |
| inferno | 12–12 | 0.11 | 25% | 16 Dec → | |
| overpass | 13–10 | 0.16 | 24% | 6 Dec → | |
| dust2 | 13–5 | 0.14 | 22% | 6 Dec → | |
| mirage | 9–13 | 0.03 | 26% | 4 Dec → | |
| train | 13–11 | 0.15 | 17% | 4 Dec → | |
| ancient | 13–9 | 0.12 | 21% | 4 Dec → | |
| inferno | 13–16 | 0.03 | 29% | 3 Dec → | |
| mirage | 13–5 | 0.08 | 28% | 2 Dec → | |
| dust2 | 13–6 | 0.08 | 21% | 2 Dec → | |
| dust2 | 13–11 | 0.11 | 29% | 1 Dec → | |
| office | 13–0 | 0.19 | 27% | 1 Dec → | |
| overpass | 13–5 | 0.20 | 19% | 1 Dec → | |
| inferno | 13–2 | 0.15 | 18% | 1 Dec → | |
| dust2 | 11–13 | 0.08 | 24% | 25 Nov → | |
| dust2 | 12–12 | 0.27 | 29% | 25 Nov → | |
| mirage | 11–13 | 0.07 | 35% | 25 Nov → | |
| train | 16–14 | 0.06 | 21% | 22 Nov → | |
| mirage | 13–10 | 0.03 | 8% | 22 Nov → | |
| overpass | 10–13 | 0.03 | 26% | 22 Nov → | |
| dust2 | 13–11 | -0.00 | 10% | 21 Nov → | |
| inferno | 7–13 | -0.03 | 22% | 21 Nov → | |
| nuke | 5–13 | -0.07 | 18% | 14 Nov → | |
| nuke | 13–11 | 0.01 | 11% | 14 Nov → | |
| inferno | 13–5 | -0.00 | 46% | 24 Oct → | |
| dust2 | 13–6 | 0.08 | 29% | 18 Oct → | |
| inferno | 5–13 | 0.02 | 14% | 8 Oct → | |
| inferno | 13–1 | 0.05 | 38% | 6 Oct → | |
| vertigo | 13–6 | -0.01 | 43% | 6 Oct → | |
| nuke | 8–13 | -0.05 | 15% | 17 Sept → | |
| mirage | 11–13 | -0.04 | 28% | 17 Sept → | |
| dust2 | 13–6 | 0.05 | 23% | 17 Sept → | |
| nuke | 13–9 | 0.01 | 21% | 17 Sept → | |
| mirage | 13–8 | 0.09 | 25% | 17 Sept → | |
| inferno | 13–3 | 0.04 | 21% | 17 Sept → | |
| dust2 | 8–13 | 0.01 | 29% | 17 Sept → | |
| overpass | 5–13 | -0.07 | 13% | 6 Sept → | |
| dust2 | 13–8 | 0.00 | 14% | 29 Aug → | |
| mirage | 13–10 | 0.02 | 24% | 29 Aug → | |
| nuke | 13–11 | 0.00 | 28% | 28 Aug → | |
| nuke | 13–9 | 0.02 | 30% | 27 Aug → | |
| dust2 | 13–6 | 0.00 | 39% | 27 Aug → |
Match data via Leetify.
