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HU76561199389842950[U:1:1429577222]Steam profile ββ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=2,587), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 45.4% | 43.7% | 44.7% | meets |
| Shot accuracy | 1.6% | 11.8% | 12.1% | 10.5% short |
| Kill/death ratio | 0.76 | 1.02 | 1.04 | 0.27 short |
| Match win rate | 44.9% | 45.0% | 45.2% | meets |
This profile matches the typical Level 6 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms β not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0β100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate Β· -0.00 avg rating
Player DNA
Primary style: Clutch Specialist β Late-round 1vX conversion well above par.
Strong CT-side openerLimited utility dependenceReliable in 1v1s
Style profile from tracked-match aggregates β how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like NiKo 81% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower positioning profile; lower utility contribution.
Similarity of playstyle shape across shared dimensions β it says how you play, not that you play at their level. Full comparison β
Strengths & areas to improve
Areas to improve
Positioning. Positioning trails aim by 36 points β deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game β the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 50% on CT to 19% on T β the same duels are being taken with worse setups on the attacking side.
Reaction time. 564ms from enemy-visible to first shot leaves fights decided before they start β warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers β no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (Γ1.00 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 |
|---|---|---|---|---|---|
| A | 26 | 15β11 | 58% | -0.03 | |
| C | 18 | 8β10 | 44% | 0.01 | |
| B | 17 | 9β8 | 53% | 0.01 | |
| D | 13 | 4β9 | 31% | 0.00 | |
| D | 12 | 4β8 | 33% | -0.02 | |
| S | 6 | 5β1 | 83% | 0.02 | |
| A | 5 | 3β2 | 60% | -0.03 | |
| β | 2 | 2β0 | 100% | 0.01 | |
| italy | β | 1 | 1β0 | 100% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (31% over 13). 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 β visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 7 | 57% | 1.12 | 17.4 |
| Anubis | 5 | 100% | 1.62 | 19.0 |
| Inferno | 4 | 25% | 0.52 | 12.5 |
| Ancient | 4 | 25% | 0.76 | 13.0 |
| Nuke | 1 | 0% | 0.94 | 15.0 |
| Mirage | 1 | 100% | 1.00 | 17.0 |
| Cache | 1 | 0% | 0.95 | 18.0 |
Faceit-match stats via the FACEIT Data API β a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches β 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 β 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 19.2798% β below the 40% mark we flag
Map knowledge compounds faster than mechanics β lineups and callouts you learn once keep paying out every time the map comes up.
31% win rate across 13 tracked games β your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10β13 | 0.05 | 26% | 30 Aug β | ||
| 2β13 | -0.00 | 27% | 30 Aug β | ||
| 13β10 | 0.01 | 13% | 30 Aug β | ||
| 4β13 | 0.01 | 13% | 29 Aug β | ||
| 13β11 | 0.02 | 54% | 29 Aug β | ||
| 10β13 | -0.02 | 19% | 29 Aug β | ||
| 11β13 | 0.01 | 26% | 29 Aug β | ||
| 9β4 | -0.01 | 15% | 28 Aug β | ||
| 7β13 | -0.10 | 7% | 27 Aug β | ||
| 8β8 | -0.03 | 23% | 26 Aug β | ||
| 16β12 | -0.00 | 13% | 26 Aug β | ||
| 13β6 | 0.04 | 13% | 26 Aug β | ||
| 10β13 | -0.08 | 7% | 24 Aug β | ||
| 7β13 | -0.03 | 24% | 24 Aug β | ||
| 9β5 | 0.04 | 36% | 23 Aug β | ||
| 2β9 | -0.05 | 29% | 23 Aug β | ||
| 13β4 | 0.04 | 26% | 23 Aug β | ||
| 2β13 | -0.09 | 26% | 23 Aug β | ||
| 7β13 | 0.06 | 30% | 23 Aug β | ||
| 16β14 | 0.01 | 14% | 22 Aug β | ||
| 13β5 | 0.01 | 30% | 22 Aug β | ||
| 13β8 | 0.06 | 24% | 19 Aug β | ||
| 2β13 | -0.08 | 11% | 18 Aug β | ||
| 6β9 | -0.02 | 14% | 18 Aug β | ||
| 4β13 | 0.06 | 31% | 17 Aug β | ||
| 1β9 | -0.07 | 0% | 17 Aug β | ||
| 10β13 | -0.00 | 29% | 17 Aug β | ||
| 13β11 | -0.04 | 24% | 16 Aug β | ||
| 13β8 | -0.01 | 11% | 16 Aug β | ||
| 3β10 | 0.00 | 0% | 16 Aug β | ||
| 16β12 | 0.03 | 30% | 16 Aug β | ||
| 1β13 | -0.02 | 33% | 16 Aug β | ||
| 6β13 | 0.02 | 24% | 16 Aug β | ||
| 13β11 | 0.03 | 23% | 15 Aug β | ||
| 9β7 | -0.05 | 19% | 15 Aug β | ||
| 13β11 | 0.01 | 23% | 11 Aug β | ||
| 8β13 | -0.04 | 12% | 11 Aug β | ||
| 13β11 | -0.02 | 22% | 11 Aug β | ||
| 13β6 | 0.01 | 17% | 11 Aug β | ||
| 9β3 | -0.00 | 17% | 11 Aug β | ||
| 6β9 | -0.05 | 30% | 11 Aug β | ||
| 13β10 | -0.04 | 8% | 10 Aug β | ||
| 9β5 | 0.03 | 41% | 10 Aug β | ||
| 13β7 | -0.00 | 20% | 10 Aug β | ||
| 13β6 | 0.05 | 28% | 10 Aug β | ||
| 10β13 | -0.04 | 18% | 10 Aug β | ||
| italy | 13β10 | -0.06 | 20% | 9 Aug β | |
| 0β13 | -0.06 | 0% | 9 Aug β | ||
| 13β10 | 0.03 | 28% | 9 Aug β | ||
| 7β13 | 0.04 | 14% | 9 Aug β | ||
| 7β13 | -0.07 | 7% | 9 Aug β | ||
| 13β10 | -0.09 | 23% | 9 Aug β | ||
| 13β3 | 0.03 | 14% | 6 Aug β | ||
| 13β5 | 0.03 | 18% | 6 Aug β | ||
| 13β2 | 0.10 | 21% | 6 Aug β | ||
| 13β9 | 0.03 | 23% | 6 Aug β | ||
| 13β9 | 0.02 | 23% | 6 Aug β | ||
| 13β3 | 0.04 | 13% | 6 Aug β | ||
| 5β9 | -0.16 | 11% | 6 Aug β | ||
| 7β9 | -0.09 | 25% | 5 Aug β | ||
| 11β13 | -0.02 | 20% | 5 Aug β | ||
| 15β15 | 0.07 | 23% | 5 Aug β | ||
| 9β5 | 0.14 | 16% | 5 Aug β | ||
| 8β13 | -0.02 | 26% | 4 Aug β | ||
| 3β13 | -0.07 | 13% | 4 Aug β | ||
| 1β13 | -0.05 | 0% | 2 Aug β | ||
| 13β11 | -0.05 | 12% | 2 Aug β | ||
| 16β14 | -0.04 | 19% | 2 Aug β | ||
| 15β15 | -0.02 | 19% | 2 Aug β | ||
| 16β12 | 0.08 | 22% | 1 Aug β | ||
| 13β16 | -0.05 | 18% | 1 Aug β | ||
| 13β3 | 0.11 | 23% | 1 Aug β | ||
| 5β13 | 0.02 | 10% | 1 Aug β | ||
| 13β16 | 0.05 | 11% | 1 Aug β | ||
| 7β13 | 0.02 | 8% | 30 Jul β | ||
| 6β13 | -0.04 | 22% | 30 Jul β | ||
| 9β3 | 0.01 | 31% | 30 Jul β | ||
| 13β3 | 0.02 | 19% | 30 Jul β | ||
| 13β3 | -0.03 | 24% | 30 Jul β | ||
| 10β13 | -0.02 | 18% | 29 Jul β | ||
| 13β3 | 0.04 | 12% | 29 Jul β | ||
| 13β7 | -0.02 | 13% | 29 Jul β | ||
| 3β13 | -0.01 | 31% | 29 Jul β | ||
| 5β13 | -0.11 | 0% | 29 Jul β | ||
| 16β13 | 0.03 | 18% | 28 Jul β | ||
| 13β9 | 0.01 | 24% | 27 Jul β | ||
| 11β13 | -0.02 | 28% | 27 Jul β | ||
| 16β12 | 0.05 | 28% | 27 Jul β | ||
| 7β13 | -0.00 | 29% | 27 Jul β | ||
| 13β7 | -0.02 | 15% | 26 Jul β | ||
| 16β14 | -0.01 | 24% | 25 Jul β | ||
| 8β13 | 0.00 | 16% | 25 Jul β | ||
| 13β8 | -0.03 | 13% | 25 Jul β | ||
| 9β7 | -0.09 | 42% | 24 Jul β | ||
| 7β13 | -0.05 | 28% | 24 Jul β | ||
| 12β7 | -0.03 | 38% | 24 Jul β | ||
| 13β9 | -0.05 | 16% | 24 Jul β | ||
| 14β16 | -0.03 | 17% | 24 Jul β | ||
| 7β9 | -0.01 | 38% | 24 Jul β | ||
| 0β13 | -0.06 | 11% | 24 Jul β |
Match data via Leetify.