๐ บ โ CS2 Stats
76561199682138688[U:1:1721872960]Steam profile โโ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here โ those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 61.5% | 52.0% |
| Shot accuracy | 7.1% | 13.7% |
| Kill/death ratio | 0.91 | 1.08 |
| Match win rate | 50.2% | 48.8% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere โ it is generated in your browser when you click.
Performance scores
0โ100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate ยท -0.01 avg rating
Player DNA
Primary style: Entry Fragger โ High opening-fight frequency with above-par success in them.
Strong CT-side opener
Style profile from tracked-match aggregates โ how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like s1mple 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
Similarity of playstyle shape across shared dimensions โ it says how you play, not that you play at their level. Full comparison โ
Strengths & areas to improve
Strengths
CT openings. 63% CT opening-duel success โ winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game โ the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 63% on CT to 46% on T โ the same duels are being taken with worse setups on the attacking side.
Reaction time. 602ms from enemy-visible to first shot leaves fights decided before they start โ warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers โ no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (ร1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 51 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 |
|---|---|---|---|---|---|
| A | 20 | 12โ8 | 60% | 0.02 | |
| B | 14 | 7โ7 | 50% | 0.01 | |
| A | 5 | 3โ2 | 60% | 0.02 | |
| A | 5 | 3โ2 | 60% | 0.03 | |
| โ | 2 | 1โ1 | 50% | -0.02 | |
| โ | 2 | 2โ0 | 100% | 0.03 | |
| โ | 1 | 0โ1 | 0% | -0.02 | |
| โ | 1 | 1โ0 | 100% | 0.02 | |
| โ | 1 | 0โ1 | 0% | -0.12 |
Across the last 51 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% over 14). 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 โ visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 177 | 51% | 1.23 | 17.4 |
| Dust2 | 114 | 52% | 1.21 | 16.9 |
| Ancient | 59 | 49% | 1.15 | 16.6 |
| Anubis | 53 | 74% | 1.42 | 16.8 |
| Nuke | 46 | 54% | 1.22 | 16.3 |
| Inferno | 33 | 42% | 1.04 | 15.8 |
| Overpass | 4 | 25% | 0.98 | 16.8 |
| Cache | 3 | 33% | 0.80 | 13.3 |
Faceit-match stats via the FACEIT Data API โ a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches โ stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9โ13 | -0.02 | 31% | 28 Aug โ | ||
| 13โ3 | 0.06 | 34% | 19 Jul โ | ||
| 13โ10 | 0.04 | 21% | 5 Jul โ | ||
| 13โ6 | -0.04 | 19% | 17 Jun โ | ||
| 5โ13 | -0.09 | 25% | 10 Jun โ | ||
| 19โ16 | 0.04 | 23% | 5 Jun โ | ||
| 13โ6 | -0.02 | 17% | 2 Jun โ | ||
| 8โ13 | -0.01 | 20% | 30 May โ | ||
| 13โ6 | 0.02 | 24% | 30 May โ | ||
| 13โ11 | 0.02 | 23% | 26 May โ | ||
| 13โ7 | -0.02 | 49% | 25 May โ | ||
| 10โ13 | -0.04 | 21% | 20 May โ | ||
| 7โ13 | 0.04 | 32% | 17 May โ | ||
| 13โ8 | 0.07 | 33% | 17 May โ | ||
| 13โ8 | 0.05 | 22% | 12 May โ | ||
| 4โ13 | -0.04 | 19% | 4 May โ | ||
| 7โ13 | -0.03 | 40% | 25 Apr โ | ||
| 10โ13 | -0.01 | 19% | 25 Apr โ | ||
| 13โ16 | 0.05 | 27% | 23 Apr โ | ||
| 13โ5 | 0.06 | 23% | 23 Apr โ | ||
| 11โ13 | -0.03 | 27% | 20 Apr โ | ||
| 13โ6 | 0.03 | 21% | 16 Apr โ | ||
| 7โ13 | -0.01 | 28% | 9 Apr โ | ||
| 16โ13 | -0.01 | 30% | 6 Apr โ | ||
| 11โ13 | 0.00 | 23% | 2 Apr โ | ||
| 13โ5 | 0.06 | 26% | 31 Mar โ | ||
| 13โ4 | 0.05 | 30% | 23 Mar โ | ||
| 4โ13 | -0.09 | 24% | 21 Mar โ | ||
| 13โ6 | 0.10 | 27% | 16 Mar โ | ||
| 5โ13 | 0.04 | 25% | 14 Mar โ | ||
| 9โ7 | 0.10 | 25% | 13 Mar โ | ||
| 13โ9 | 0.00 | 28% | 11 Mar โ | ||
| 6โ9 | -0.12 | 14% | 10 Mar โ | ||
| 13โ6 | 0.14 | 22% | 5 Mar โ | ||
| 7โ9 | 0.00 | 27% | 3 Mar โ | ||
| 13โ8 | 0.15 | 24% | 28 Feb โ | ||
| 13โ7 | 0.04 | 19% | 27 Feb โ | ||
| 5โ13 | -0.03 | 40% | 27 Feb โ | ||
| 13โ4 | 0.04 | 15% | 26 Feb โ | ||
| 9โ5 | -0.04 | 18% | 11 Feb โ | ||
| 10โ13 | 0.04 | 24% | 11 Feb โ | ||
| 13โ10 | 0.05 | 20% | 18 Jul โ | ||
| 13โ10 | -0.02 | 24% | 18 Jun โ | ||
| 13โ10 | 0.03 | 11% | 18 Jun โ | ||
| 13โ0 | 0.09 | 30% | 7 Jun โ | ||
| 12โ12 | -0.01 | 13% | 30 May โ | ||
| 4โ13 | 0.05 | 25% | 8 May โ | ||
| 13โ4 | 0.01 | 23% | 7 May โ | ||
| 12โ12 | -0.06 | 15% | 25 Apr โ | ||
| 13โ5 | -0.01 | 36% | 26 Sept โ | ||
| 3โ13 | -0.11 | 25% | 14 Sept โ |
Match data via Leetify.