πͺπ½πΈπΆπ²π¬ β CS2 Stats
KR76561199791767512[U:1:1831501784]Steam profile β
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 40.7% | 44.2% | 47.1% | 6.3% short |
| Shot accuracy | 0.0% | 11.6% | 12.8% | 12.8% short |
| Kill/death ratio | 0.95 | 1.03 | 1.08 | 0.14 short |
| Match win rate | 41.7% | 45.2% | 46.6% | 5.0% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band 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: -40pp win rate Β· -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler β Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 88% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 35 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 53% on CT to 33% on T β the same duels are being taken with worse setups on the attacking side.
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 5.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 34 | 10β24 | 29% | -0.02 | |
| B | 22 | 10β12 | 45% | -0.01 | |
| C | 19 | 8β11 | 42% | -0.01 | |
| C | 12 | 5β7 | 42% | 0.00 | |
| A | 7 | 4β3 | 57% | -0.00 | |
| B | 6 | 3β3 | 50% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (29% over 34). 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 β visible because this profile's game details are public. Spans CS:GO and CS2.
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 32.5487% 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.
29% win rate across 34 tracked games β your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10β13 | 0.06 | 29% | 29 Aug β | ||
| 13β9 | 0.01 | 23% | 29 Aug β | ||
| 1β13 | -0.09 | 21% | 28 Aug β | ||
| 3β13 | -0.08 | 60% | 28 Aug β | ||
| 13β16 | -0.06 | 27% | 28 Aug β | ||
| 12β12 | -0.06 | 11% | 27 Aug β | ||
| 7β13 | -0.03 | 19% | 22 Aug β | ||
| 13β7 | 0.02 | 10% | 22 Aug β | ||
| 11β13 | -0.03 | 26% | 22 Aug β | ||
| 0β13 | -0.05 | 20% | 21 Aug β | ||
| 13β10 | -0.00 | 18% | 21 Aug β | ||
| 13β7 | -0.04 | 11% | 21 Aug β | ||
| 11β13 | -0.03 | 13% | 21 Aug β | ||
| 13β10 | -0.01 | 18% | 17 Aug β | ||
| 13β11 | -0.00 | 17% | 17 Aug β | ||
| 13β9 | 0.04 | 14% | 16 Aug β | ||
| 3β13 | -0.01 | 13% | 15 Aug β | ||
| 13β11 | -0.02 | 23% | 15 Aug β | ||
| 6β12 | 0.00 | 12% | 15 Aug β | ||
| 11β13 | -0.05 | 21% | 15 Aug β | ||
| 13β5 | 0.03 | 13% | 15 Aug β | ||
| 13β5 | 0.07 | 20% | 14 Aug β | ||
| 13β5 | 0.07 | 26% | 14 Aug β | ||
| 6β13 | -0.07 | 22% | 14 Aug β | ||
| 6β13 | -0.02 | 28% | 13 Aug β | ||
| 0β5 | -0.07 | 25% | 13 Aug β | ||
| 15β15 | -0.02 | 23% | 13 Aug β | ||
| 8β13 | -0.02 | 6% | 13 Aug β | ||
| 13β6 | -0.00 | 25% | 9 Aug β | ||
| 11β13 | 0.02 | 23% | 9 Aug β | ||
| 5β13 | 0.01 | 10% | 9 Aug β | ||
| 13β10 | 0.16 | 25% | 9 Aug β | ||
| 13β9 | 0.01 | 13% | 8 Aug β | ||
| 13β11 | 0.01 | 15% | 8 Aug β | ||
| 3β13 | -0.07 | 23% | 8 Aug β | ||
| 13β9 | -0.01 | 18% | 8 Aug β | ||
| 11β13 | -0.06 | 11% | 8 Aug β | ||
| 10β13 | 0.03 | 29% | 8 Aug β | ||
| 9β13 | 0.01 | 27% | 7 Aug β | ||
| 12β12 | 0.02 | 14% | 7 Aug β | ||
| 15β15 | -0.05 | 16% | 7 Aug β | ||
| 6β13 | -0.01 | 27% | 7 Aug β | ||
| 16β12 | -0.06 | 19% | 7 Aug β | ||
| 9β13 | -0.08 | 13% | 7 Aug β | ||
| 11β13 | -0.04 | 19% | 7 Aug β | ||
| 13β10 | 0.02 | 19% | 3 Aug β | ||
| 13β8 | 0.07 | 35% | 3 Aug β | ||
| 13β9 | -0.06 | 10% | 3 Aug β | ||
| 10β13 | -0.03 | 11% | 3 Aug β | ||
| 6β13 | 0.05 | 18% | 3 Aug β | ||
| 13β8 | 0.02 | 11% | 3 Aug β | ||
| 13β10 | -0.06 | 17% | 3 Aug β | ||
| 13β9 | -0.01 | 12% | 2 Aug β | ||
| 13β10 | -0.01 | 10% | 2 Aug β | ||
| 13β1 | -0.01 | 20% | 2 Aug β | ||
| 7β13 | -0.01 | 15% | 1 Aug β | ||
| 8β13 | -0.05 | 21% | 1 Aug β | ||
| 2β13 | -0.06 | 21% | 1 Aug β | ||
| 16β12 | -0.00 | 17% | 1 Aug β | ||
| 5β13 | -0.02 | 14% | 1 Aug β | ||
| 3β13 | -0.03 | 15% | 1 Aug β | ||
| 13β9 | 0.13 | 13% | 1 Aug β | ||
| 8β13 | 0.05 | 18% | 1 Aug β | ||
| 6β13 | 0.02 | 22% | 1 Aug β | ||
| 3β13 | 0.01 | 14% | 1 Aug β | ||
| 7β13 | 0.03 | 31% | 31 Jul β | ||
| 9β13 | 0.00 | 26% | 31 Jul β | ||
| 6β13 | 0.04 | 14% | 31 Jul β | ||
| 0β13 | -0.03 | 63% | 26 Jul β | ||
| 0β13 | -0.03 | 0% | 26 Jul β | ||
| 4β13 | -0.00 | 24% | 26 Jul β | ||
| 5β13 | -0.05 | 21% | 25 Jul β | ||
| 8β13 | -0.02 | 24% | 25 Jul β | ||
| 13β11 | -0.06 | 15% | 25 Jul β | ||
| 13β3 | 0.04 | 18% | 25 Jul β | ||
| 6β13 | -0.01 | 43% | 25 Jul β | ||
| 13β16 | 0.00 | 15% | 25 Jul β | ||
| 13β4 | -0.04 | 17% | 23 Jul β | ||
| 13β5 | 0.08 | 25% | 18 Jul β | ||
| 1β13 | -0.08 | 100% | 18 Jul β | ||
| 6β13 | 0.02 | 20% | 18 Jul β | ||
| 13β7 | 0.09 | 14% | 18 Jul β | ||
| 5β13 | -0.05 | 30% | 18 Jul β | ||
| 16β13 | -0.03 | 20% | 18 Jul β | ||
| 5β13 | -0.06 | 25% | 18 Jul β | ||
| 4β13 | -0.01 | 14% | 18 Jul β | ||
| 11β13 | -0.07 | 13% | 18 Jul β | ||
| 16β13 | -0.01 | 10% | 17 Jul β | ||
| 13β8 | -0.04 | 28% | 16 Jul β | ||
| 13β8 | 0.05 | 15% | 16 Jul β | ||
| 3β13 | -0.11 | 13% | 16 Jul β | ||
| 10β13 | -0.05 | 14% | 12 Jul β | ||
| 0β13 | -0.04 | 50% | 12 Jul β | ||
| 13β11 | 0.05 | 14% | 12 Jul β | ||
| 2β13 | 0.01 | 37% | 12 Jul β | ||
| 13β9 | -0.01 | 18% | 12 Jul β | ||
| 13β11 | -0.02 | 19% | 12 Jul β | ||
| 9β13 | -0.04 | 14% | 12 Jul β | ||
| 16β13 | -0.02 | 14% | 12 Jul β | ||
| 11β13 | -0.02 | 11% | 12 Jul β |
Match data via Leetify.