95kab — CS2 Stats
76561198804066687[U:1:843800959]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: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
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 ropz 93% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution.
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 95 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 33 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.
Reaction time. 603ms 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 (×1.00 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 |
|---|---|---|---|---|---|
| C | 28 | 11–17 | 39% | 0.01 | |
| C | 20 | 7–13 | 35% | 0.03 | |
| C | 14 | 6–8 | 43% | 0.04 | |
| A | 11 | 7–4 | 64% | 0.05 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 7). 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 60 | 50% | 1.20 | 18.2 |
| Dust2 | 35 | 54% | 1.15 | 18.5 |
| Nuke | 30 | 53% | 1.24 | 19.5 |
| Ancient | 19 | 42% | 0.97 | 15.5 |
| Inferno | 17 | 53% | 1.14 | 16.6 |
| Anubis | 8 | 38% | 1.06 | 17.3 |
| Cache | 6 | 33% | 0.96 | 13.5 |
| Overpass | 4 | 25% | 1.18 | 23.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3772 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.25 | 45% | 27 Aug → | ||
| 6–9 | -0.02 | 43% | 27 Aug → | ||
| 9–6 | 0.08 | 34% | 27 Aug → | ||
| 4–13 | 0.02 | 39% | 27 Aug → | ||
| 9–13 | -0.04 | 20% | 25 Aug → | ||
| 13–3 | 0.08 | 26% | 25 Aug → | ||
| 7–13 | 0.04 | 34% | 24 Aug → | ||
| 13–8 | 0.04 | 42% | 24 Aug → | ||
| 13–8 | 0.09 | 35% | 24 Aug → | ||
| 4–9 | -0.10 | 28% | 23 Aug → | ||
| 21–25 | 0.05 | 22% | 23 Aug → | ||
| 13–11 | 0.07 | 44% | 23 Aug → | ||
| 8–8 | 0.16 | 29% | 23 Aug → | ||
| 7–9 | 0.06 | 30% | 22 Aug → | ||
| 3–9 | 0.03 | 29% | 22 Aug → | ||
| 9–3 | 0.19 | 19% | 22 Aug → | ||
| 9–7 | -0.11 | 32% | 22 Aug → | ||
| 6–13 | 0.05 | 31% | 21 Aug → | ||
| 4–13 | -0.06 | 17% | 21 Aug → | ||
| 13–11 | 0.00 | 32% | 20 Aug → | ||
| 1–9 | 0.00 | 0% | 19 Aug → | ||
| 5–9 | -0.07 | 35% | 19 Aug → | ||
| 8–8 | 0.13 | 42% | 19 Aug → | ||
| 9–2 | 0.11 | 30% | 19 Aug → | ||
| 2–9 | -0.05 | 22% | 19 Aug → | ||
| 9–4 | 0.04 | 41% | 19 Aug → | ||
| 6–9 | -0.01 | 30% | 19 Aug → | ||
| 9–5 | 0.11 | 32% | 19 Aug → | ||
| 13–4 | -0.03 | 43% | 18 Aug → | ||
| 11–13 | -0.02 | 20% | 18 Aug → | ||
| 7–9 | 0.04 | 29% | 17 Aug → | ||
| 9–1 | 0.31 | 25% | 17 Aug → | ||
| 4–10 | -0.02 | 24% | 17 Aug → | ||
| 2–13 | 0.00 | 37% | 16 Aug → | ||
| 3–9 | -0.12 | 17% | 16 Aug → | ||
| 7–13 | -0.01 | 18% | 16 Aug → | ||
| 13–10 | -0.08 | 20% | 15 Aug → | ||
| 13–9 | 0.04 | 38% | 15 Aug → | ||
| 13–8 | 0.06 | 42% | 15 Aug → | ||
| 11–13 | 0.02 | 39% | 15 Aug → | ||
| 13–1 | 0.05 | 32% | 15 Aug → | ||
| 13–9 | 0.07 | 36% | 15 Aug → | ||
| 13–10 | 0.02 | 23% | 13 Aug → | ||
| 6–13 | -0.01 | 32% | 12 Aug → | ||
| 7–13 | 0.02 | 24% | 12 Aug → | ||
| 7–13 | -0.05 | 17% | 11 Aug → | ||
| 13–6 | -0.05 | 18% | 11 Aug → | ||
| 13–6 | 0.09 | 36% | 11 Aug → | ||
| 3–13 | -0.07 | 12% | 11 Aug → | ||
| 13–16 | -0.07 | 26% | 10 Aug → | ||
| 11–13 | -0.05 | 15% | 9 Aug → | ||
| 9–13 | -0.04 | 29% | 9 Aug → | ||
| 13–11 | 0.02 | 30% | 9 Aug → | ||
| 7–13 | 0.03 | 33% | 9 Aug → | ||
| 11–13 | 0.01 | 31% | 8 Aug → | ||
| 13–6 | 0.08 | 28% | 8 Aug → | ||
| 0–6 | 0.03 | 17% | 7 Aug → | ||
| 13–6 | 0.02 | 29% | 7 Aug → | ||
| 25–21 | 0.06 | 26% | 7 Aug → | ||
| 13–4 | 0.03 | 30% | 7 Aug → | ||
| 11–13 | 0.02 | 26% | 6 Aug → | ||
| 9–6 | 0.08 | 50% | 6 Aug → | ||
| 13–2 | 0.04 | 33% | 6 Aug → | ||
| 9–7 | 0.11 | 39% | 6 Aug → | ||
| 13–4 | 0.07 | 38% | 6 Aug → | ||
| 6–13 | -0.01 | 38% | 5 Aug → | ||
| 13–5 | 0.01 | 18% | 5 Aug → | ||
| 7–13 | 0.01 | 20% | 5 Aug → | ||
| 9–13 | -0.02 | 33% | 5 Aug → | ||
| 13–11 | 0.02 | 33% | 4 Aug → | ||
| 12–16 | -0.01 | 34% | 4 Aug → | ||
| 13–10 | -0.03 | 32% | 3 Aug → | ||
| 11–13 | 0.01 | 39% | 3 Aug → | ||
| 15–15 | 0.08 | 22% | 3 Aug → | ||
| 2–13 | 0.06 | 30% | 3 Aug → | ||
| 10–13 | 0.07 | 20% | 2 Aug → | ||
| 13–11 | 0.08 | 21% | 2 Aug → | ||
| 7–13 | 0.01 | 37% | 2 Aug → | ||
| 4–13 | 0.03 | 15% | 2 Aug → | ||
| 10–13 | 0.03 | 38% | 2 Aug → | ||
| 16–14 | -0.07 | 20% | 2 Aug → | ||
| 13–8 | -0.01 | 29% | 2 Aug → | ||
| 13–9 | -0.00 | 29% | 2 Aug → | ||
| 11–13 | 0.04 | 36% | 2 Aug → | ||
| 16–13 | 0.04 | 32% | 2 Aug → | ||
| 11–13 | 0.07 | 22% | 1 Aug → | ||
| 13–2 | 0.01 | 24% | 1 Aug → | ||
| 13–10 | 0.11 | 38% | 1 Aug → | ||
| 13–9 | -0.00 | 25% | 1 Aug → | ||
| 9–13 | -0.07 | 40% | 1 Aug → | ||
| 3–13 | 0.01 | 26% | 1 Aug → | ||
| 15–15 | 0.02 | 21% | 1 Aug → | ||
| 9–13 | -0.03 | 45% | 1 Aug → | ||
| 10–13 | 0.05 | 20% | 31 Jul → | ||
| 8–13 | -0.04 | 31% | 31 Jul → | ||
| 9–13 | -0.05 | 20% | 31 Jul → | ||
| 14–16 | 0.01 | 29% | 31 Jul → | ||
| 8–13 | -0.09 | 39% | 31 Jul → | ||
| 13–6 | 0.02 | 29% | 31 Jul → | ||
| 7–13 | -0.02 | 22% | 31 Jul → |
Match data via Leetify.