πππππ β CS2 Stats
US76561199085018732[U:1:1124753004]Steam profile ββ 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 β those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 58.3% | 52.8% | above |
| Shot accuracy | 12.2% | 13.7% | 1.5% short |
| Kill/death ratio | 1.12 | 1.08 | above |
| Match win rate | 49.6% | 49.2% | meets |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms β not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere β it is generated in your browser when you click.
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: Aggressive Rifler β Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 b1t 96% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Reaction time. 585ms 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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (Γ1.02 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 |
|---|---|---|---|---|---|
| B | 34 | 18β16 | 53% | -0.00 | |
| S | 19 | 13β6 | 68% | 0.00 | |
| S | 17 | 12β5 | 71% | 0.01 | |
| C | 17 | 6β11 | 35% | 0.01 | |
| B | 6 | 3β3 | 50% | 0.03 | |
| β | 4 | 1β3 | 25% | 0.02 | |
| β | 2 | 2β0 | 100% | 0.05 | |
| β | 1 | 1β0 | 100% | 0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Ancient 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 64 | 56% | 1.27 | 17.3 |
| Ancient | 36 | 47% | 1.11 | 17.3 |
| Anubis | 35 | 51% | 1.25 | 17.6 |
| Dust2 | 35 | 66% | 1.18 | 17.5 |
| Inferno | 13 | 54% | 1.43 | 18.3 |
| Cache | 12 | 58% | 1.20 | 19.9 |
| Vertigo | 9 | 67% | 1.19 | 17.4 |
| Nuke | 8 | 38% | 1.01 | 15.4 |
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 36.3597% 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.
35% win rate across 17 tracked games β your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9β13 | -0.02 | 19% | 2 Jun β | ||
| 13β3 | 0.13 | 43% | 2 Jun β | ||
| 6β13 | -0.06 | 19% | 2 Jun β | ||
| 14β16 | -0.07 | 21% | 2 Jun β | ||
| 11β1 | 0.02 | 34% | 2 Jun β | ||
| 11β13 | 0.01 | 30% | 1 Jun β | ||
| 13β4 | 0.04 | 27% | 1 Jun β | ||
| 6β13 | -0.04 | 19% | 1 Jun β | ||
| 13β6 | 0.02 | 48% | 31 May β | ||
| 13β7 | 0.06 | 32% | 31 May β | ||
| 6β13 | -0.04 | 34% | 31 May β | ||
| 10β13 | 0.06 | 33% | 31 May β | ||
| 10β13 | 0.03 | 30% | 31 May β | ||
| 10β13 | -0.04 | 33% | 30 May β | ||
| 13β3 | 0.01 | 43% | 30 May β | ||
| 13β6 | 0.00 | 39% | 30 May β | ||
| 4β5 | 0.02 | 25% | 30 May β | ||
| 9β13 | 0.03 | 30% | 30 May β | ||
| 13β5 | 0.05 | 18% | 30 May β | ||
| 7β13 | 0.02 | 33% | 30 May β | ||
| 16β12 | -0.03 | 32% | 30 May β | ||
| 19β16 | 0.01 | 22% | 29 May β | ||
| 4β13 | -0.04 | 36% | 29 May β | ||
| 13β7 | 0.06 | 28% | 28 May β | ||
| 13β7 | 0.05 | 30% | 28 May β | ||
| 10β13 | 0.01 | 30% | 28 May β | ||
| 13β3 | -0.04 | 20% | 28 May β | ||
| 16β12 | 0.01 | 33% | 27 May β | ||
| 13β3 | 0.07 | 32% | 27 May β | ||
| 13β10 | 0.02 | 23% | 27 May β | ||
| 13β6 | 0.02 | 24% | 27 May β | ||
| 13β6 | 0.03 | 18% | 27 May β | ||
| 16β14 | -0.04 | 23% | 27 May β | ||
| 10β13 | -0.02 | 12% | 26 May β | ||
| 11β13 | 0.03 | 25% | 26 May β | ||
| 13β10 | 0.04 | 31% | 26 May β | ||
| 14β16 | 0.00 | 21% | 25 May β | ||
| 5β13 | -0.01 | 33% | 25 May β | ||
| 13β7 | 0.03 | 29% | 25 May β | ||
| 13β10 | -0.03 | 20% | 25 May β | ||
| 13β3 | 0.06 | 21% | 25 May β | ||
| 6β13 | -0.01 | 24% | 25 May β | ||
| 12β16 | -0.02 | 28% | 25 May β | ||
| 5β13 | 0.01 | 26% | 25 May β | ||
| 13β3 | 0.07 | 26% | 25 May β | ||
| 13β11 | 0.01 | 27% | 24 May β | ||
| 13β7 | 0.00 | 29% | 24 May β | ||
| 10β13 | -0.06 | 21% | 24 May β | ||
| 13β2 | 0.11 | 38% | 24 May β | ||
| 12β16 | 0.04 | 16% | 24 May β | ||
| 13β8 | 0.04 | 31% | 24 May β | ||
| 13β8 | 0.04 | 29% | 23 May β | ||
| 9β13 | 0.02 | 25% | 23 May β | ||
| 11β13 | -0.04 | 27% | 23 May β | ||
| 11β13 | 0.05 | 16% | 23 May β | ||
| 11β13 | 0.01 | 23% | 23 May β | ||
| 13β8 | 0.00 | 24% | 23 May β | ||
| 2β13 | -0.09 | 13% | 22 May β | ||
| 13β5 | 0.06 | 22% | 22 May β | ||
| 11β13 | 0.03 | 24% | 22 May β | ||
| 13β8 | 0.03 | 28% | 22 May β | ||
| 13β8 | 0.03 | 45% | 21 May β | ||
| 13β4 | -0.04 | 8% | 17 May β | ||
| 13β11 | 0.09 | 28% | 17 May β | ||
| 11β13 | -0.01 | 28% | 17 May β | ||
| 8β13 | -0.06 | 27% | 17 May β | ||
| 8β13 | -0.06 | 24% | 16 May β | ||
| 11β13 | 0.01 | 27% | 16 May β | ||
| 10β13 | -0.02 | 24% | 15 May β | ||
| 13β4 | -0.04 | 13% | 15 May β | ||
| 13β5 | -0.07 | 20% | 15 May β | ||
| 13β4 | -0.04 | 19% | 15 May β | ||
| 13β6 | 0.05 | 43% | 15 May β | ||
| 13β11 | 0.03 | 26% | 15 May β | ||
| 14β16 | -0.06 | 24% | 14 May β | ||
| 13β6 | -0.01 | 22% | 14 May β | ||
| 13β10 | -0.02 | 27% | 14 May β | ||
| 13β3 | 0.00 | 27% | 14 May β | ||
| 10β13 | 0.02 | 13% | 14 May β | ||
| 15β15 | 0.05 | 24% | 13 May β | ||
| 13β8 | 0.05 | 22% | 13 May β | ||
| 13β5 | 0.03 | 20% | 13 May β | ||
| 13β5 | -0.07 | 22% | 12 May β | ||
| 10β13 | -0.04 | 27% | 12 May β | ||
| 13β5 | 0.02 | 21% | 12 May β | ||
| 13β8 | 0.10 | 22% | 11 May β | ||
| 16β13 | -0.06 | 22% | 10 May β | ||
| 9β13 | -0.07 | 15% | 10 May β | ||
| 13β11 | 0.06 | 24% | 10 May β | ||
| 13β7 | -0.02 | 25% | 10 May β | ||
| 13β16 | 0.01 | 27% | 10 May β | ||
| 2β13 | -0.06 | 18% | 10 May β | ||
| 13β6 | 0.09 | 43% | 10 May β | ||
| 13β8 | 0.04 | 29% | 9 May β | ||
| 11β13 | -0.03 | 29% | 9 May β | ||
| 13β6 | 0.04 | 28% | 9 May β | ||
| 10β13 | 0.06 | 30% | 9 May β | ||
| 13β1 | 0.02 | 25% | 9 May β | ||
| 13β8 | -0.03 | 33% | 8 May β | ||
| 15β19 | -0.00 | 17% | 8 May β |
Match data via Leetify.