kb — CS2 Stats
AU76561199192109461[U:1:1231843733]Steam profile ↗✓ No bans
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: -20pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side opener
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 device 98% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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 99 — the mechanical foundation is a clear strength.
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 59% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 24 | 9–15 | 38% | 0.01 | |
| C | 23 | 8–15 | 35% | 0.02 | |
| A | 16 | 9–7 | 56% | 0.02 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| D | 10 | 2–8 | 20% | -0.02 | |
| D | 8 | 2–6 | 25% | 0.01 | |
| A | 7 | 4–3 | 57% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 15 | 47% | 1.38 | 17.4 |
| Mirage | 15 | 33% | 0.83 | 14.7 |
| Vertigo | 15 | 47% | 1.32 | 19.3 |
| Nuke | 8 | 38% | 1.02 | 16.9 |
| Inferno | 7 | 43% | 1.29 | 16.4 |
| Ancient | 7 | 57% | 1.40 | 21.0 |
| Anubis | 4 | 75% | 1.50 | 23.3 |
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.
- 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 35.634% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.06 | 46% | 28 Aug → | ||
| 13–10 | 0.02 | 42% | 28 Aug → | ||
| 16–14 | 0.01 | 42% | 28 Aug → | ||
| 3–13 | -0.02 | 54% | 28 Aug → | ||
| 8–13 | 0.01 | 67% | 27 Aug → | ||
| 7–13 | -0.02 | 48% | 27 Aug → | ||
| 13–16 | 0.05 | 43% | 27 Aug → | ||
| 3–13 | -0.01 | 50% | 27 Aug → | ||
| 4–13 | 0.05 | 42% | 27 Aug → | ||
| 8–13 | -0.07 | 28% | 26 Aug → | ||
| 13–7 | 0.05 | 45% | 26 Aug → | ||
| 13–6 | 0.03 | 65% | 26 Aug → | ||
| 8–13 | 0.01 | 43% | 26 Aug → | ||
| 14–16 | 0.03 | 51% | 26 Aug → | ||
| 7–13 | 0.05 | 47% | 26 Aug → | ||
| 9–13 | 0.11 | 63% | 26 Aug → | ||
| 13–4 | 0.18 | 54% | 26 Aug → | ||
| 2–13 | -0.02 | 65% | 26 Aug → | ||
| 8–13 | 0.09 | 56% | 26 Aug → | ||
| 13–11 | 0.07 | 47% | 26 Aug → | ||
| 3–3 | -0.09 | 0% | 26 Aug → | ||
| 13–9 | 0.02 | 50% | 26 Aug → | ||
| 13–5 | 0.03 | 77% | 25 Aug → | ||
| 11–13 | -0.04 | 52% | 25 Aug → | ||
| 8–13 | 0.03 | 43% | 25 Aug → | ||
| 6–13 | -0.06 | 38% | 25 Aug → | ||
| 8–13 | -0.06 | 31% | 25 Aug → | ||
| 6–13 | 0.05 | 41% | 25 Aug → | ||
| 15–15 | 0.07 | 30% | 25 Aug → | ||
| 11–13 | -0.03 | 50% | 25 Aug → | ||
| 5–13 | -0.07 | 35% | 24 Aug → | ||
| 13–7 | 0.14 | 47% | 24 Aug → | ||
| 16–14 | 0.04 | 33% | 24 Aug → | ||
| 8–2 | 0.05 | 42% | 24 Aug → | ||
| 13–9 | 0.02 | 31% | 24 Aug → | ||
| 13–9 | 0.11 | 42% | 24 Aug → | ||
| 6–13 | 0.01 | 58% | 24 Aug → | ||
| 13–11 | -0.02 | 47% | 24 Aug → | ||
| 13–11 | 0.03 | 40% | 23 Aug → | ||
| 7–13 | 0.06 | 38% | 23 Aug → | ||
| 13–11 | 0.01 | 31% | 23 Aug → | ||
| 13–9 | -0.03 | 29% | 22 Aug → | ||
| 13–7 | 0.06 | 40% | 22 Aug → | ||
| 2–13 | -0.11 | 50% | 22 Aug → | ||
| 11–13 | -0.02 | 36% | 22 Aug → | ||
| 8–13 | 0.01 | 28% | 22 Aug → | ||
| 13–5 | 0.07 | 36% | 22 Aug → | ||
| 8–13 | -0.03 | 42% | 22 Aug → | ||
| 13–6 | 0.01 | 38% | 22 Aug → | ||
| 13–11 | 0.02 | 59% | 22 Aug → | ||
| 13–8 | 0.07 | 65% | 22 Aug → | ||
| 13–2 | -0.01 | 60% | 22 Aug → | ||
| 5–13 | 0.01 | 39% | 22 Aug → | ||
| 13–7 | 0.03 | 60% | 22 Aug → | ||
| 14–16 | 0.03 | 59% | 20 Aug → | ||
| 2–13 | -0.08 | 36% | 20 Aug → | ||
| 16–14 | 0.05 | 44% | 20 Aug → | ||
| 10–13 | 0.07 | 46% | 19 Aug → | ||
| 13–7 | 0.04 | 63% | 19 Aug → | ||
| 13–7 | -0.00 | 42% | 19 Aug → | ||
| 6–13 | -0.02 | 40% | 19 Aug → | ||
| 13–10 | 0.02 | 28% | 17 Aug → | ||
| 4–13 | 0.01 | 34% | 17 Aug → | ||
| 6–13 | -0.06 | 57% | 17 Aug → | ||
| 7–13 | -0.05 | 92% | 17 Aug → | ||
| 7–13 | -0.08 | 58% | 17 Aug → | ||
| 13–16 | -0.00 | 53% | 17 Aug → | ||
| 7–13 | 0.01 | 46% | 17 Aug → | ||
| 9–13 | -0.03 | 52% | 17 Aug → | ||
| 9–1 | 0.08 | 58% | 17 Aug → | ||
| 13–2 | 0.02 | 64% | 17 Aug → | ||
| 15–15 | -0.02 | 68% | 16 Aug → | ||
| 13–4 | 0.03 | 52% | 16 Aug → | ||
| 13–7 | -0.01 | 53% | 16 Aug → | ||
| 7–13 | 0.04 | 63% | 16 Aug → | ||
| 7–13 | -0.00 | 50% | 16 Aug → | ||
| 6–13 | -0.13 | 0% | 16 Aug → | ||
| 13–8 | 0.06 | 53% | 16 Aug → | ||
| 7–13 | -0.01 | 65% | 15 Aug → | ||
| 13–9 | -0.08 | 33% | 15 Aug → | ||
| 9–13 | -0.04 | 58% | 15 Aug → | ||
| 13–7 | -0.07 | 53% | 15 Aug → | ||
| 13–4 | -0.05 | 56% | 15 Aug → | ||
| 7–13 | 0.06 | 79% | 15 Aug → | ||
| 13–5 | 0.03 | 41% | 15 Aug → | ||
| 2–13 | -0.02 | 47% | 15 Aug → | ||
| 11–13 | 0.03 | 18% | 15 Aug → | ||
| 4–13 | -0.02 | 32% | 15 Aug → | ||
| 10–13 | -0.01 | 47% | 15 Aug → | ||
| 8–13 | -0.01 | 48% | 15 Aug → | ||
| 3–13 | -0.01 | 58% | 14 Aug → | ||
| 11–13 | -0.02 | 26% | 14 Aug → | ||
| 6–13 | -0.08 | 40% | 13 Aug → | ||
| 0–3 | -0.02 | 0% | 13 Aug → | ||
| 4–13 | -0.03 | 71% | 13 Aug → | ||
| 13–6 | 0.02 | 38% | 13 Aug → | ||
| 10–13 | 0.03 | 36% | 13 Aug → | ||
| 10–13 | -0.02 | 50% | 13 Aug → | ||
| 6–13 | -0.07 | 52% | 13 Aug → | ||
| 4–13 | -0.07 | 24% | 13 Aug → |
Match data via Leetify.