a fart smella — CS2 Stats
76561198133880447[U:1:173614719]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.03 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong 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 NiKo 85% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; lower aim profile.
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
Areas to improve
T-side openings. Opening success drops from 48% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 552ms 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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 22 | 12–10 | 55% | -0.00 | |
| D | 21 | 7–14 | 33% | 0.00 | |
| S | 14 | 10–4 | 71% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.03 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| S | 8 | 7–1 | 88% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Nuke 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 33% | 0.66 | 13.3 |
| Vertigo | 3 | 33% | 0.42 | 7.0 |
| Overpass | 2 | 50% | 0.53 | 9.0 |
| Anubis | 1 | 0% | 0.40 | 6.0 |
| Nuke | 1 | 100% | 0.62 | 8.0 |
| Ancient | 1 | 100% | 0.75 | 12.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.054% — below the 15% mark we flag
- 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 19.9018% — 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.
33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | 0.00 | 5% | 25 Aug → | ||
| 11–13 | -0.01 | 19% | 25 Aug → | ||
| 15–15 | -0.03 | 12% | 25 Aug → | ||
| 13–8 | 0.09 | 8% | 25 Aug → | ||
| 13–4 | 0.01 | 10% | 25 Aug → | ||
| 11–13 | -0.08 | 10% | 25 Aug → | ||
| 2–13 | -0.02 | 13% | 21 Aug → | ||
| 5–1 | 0.20 | 10% | 21 Aug → | ||
| 15–15 | -0.02 | 6% | 21 Aug → | ||
| 13–4 | 0.05 | 3% | 21 Aug → | ||
| 15–15 | -0.03 | 15% | 21 Aug → | ||
| 13–10 | 0.00 | 10% | 21 Aug → | ||
| 14–16 | -0.02 | 10% | 21 Aug → | ||
| 13–11 | 0.03 | 14% | 21 Aug → | ||
| 9–13 | 0.05 | 16% | 20 Aug → | ||
| 11–13 | -0.02 | 24% | 20 Aug → | ||
| 14–16 | 0.01 | 22% | 20 Aug → | ||
| 13–11 | 0.04 | 10% | 19 Aug → | ||
| 5–13 | -0.07 | 6% | 16 Aug → | ||
| 9–13 | -0.09 | 8% | 16 Aug → | ||
| 13–10 | -0.02 | 5% | 16 Aug → | ||
| 16–13 | -0.02 | 17% | 16 Aug → | ||
| 10–13 | -0.02 | 7% | 16 Aug → | ||
| 13–5 | -0.05 | 4% | 15 Aug → | ||
| 13–3 | -0.00 | 11% | 15 Aug → | ||
| 13–4 | 0.05 | 8% | 15 Aug → | ||
| 15–15 | 0.01 | 11% | 15 Aug → | ||
| 16–14 | -0.04 | 5% | 15 Aug → | ||
| 13–7 | 0.03 | 9% | 15 Aug → | ||
| 10–13 | 0.04 | 12% | 15 Aug → | ||
| 10–13 | -0.07 | 13% | 15 Aug → | ||
| 7–13 | -0.02 | 15% | 15 Aug → | ||
| 13–6 | 0.02 | 9% | 15 Aug → | ||
| 13–9 | -0.01 | 6% | 15 Aug → | ||
| 11–13 | 0.00 | 19% | 15 Aug → | ||
| 11–13 | -0.02 | 12% | 13 Aug → | ||
| 13–11 | -0.01 | 10% | 13 Aug → | ||
| 7–13 | -0.05 | 8% | 13 Aug → | ||
| 13–6 | 0.06 | 9% | 13 Aug → | ||
| 14–16 | 0.04 | 7% | 12 Aug → | ||
| 13–10 | 0.06 | 16% | 12 Aug → | ||
| 13–4 | 0.03 | 19% | 12 Aug → | ||
| 13–7 | 0.02 | 9% | 12 Aug → | ||
| 13–9 | -0.00 | 9% | 12 Aug → | ||
| 9–13 | -0.02 | 0% | 11 Aug → | ||
| 13–11 | 0.01 | 6% | 11 Aug → | ||
| 10–13 | -0.04 | 8% | 11 Aug → | ||
| 13–7 | -0.01 | 14% | 11 Aug → | ||
| 13–3 | -0.01 | 15% | 11 Aug → | ||
| 4–13 | -0.05 | 11% | 11 Aug → | ||
| 10–13 | -0.09 | 15% | 11 Aug → | ||
| 13–4 | 0.06 | 25% | 11 Aug → | ||
| 13–3 | 0.07 | 15% | 11 Aug → | ||
| 7–13 | -0.06 | 6% | 10 Aug → | ||
| 16–13 | 0.02 | 14% | 10 Aug → | ||
| 8–13 | -0.02 | 17% | 9 Aug → | ||
| 11–13 | -0.01 | 10% | 8 Aug → | ||
| 13–11 | -0.00 | 7% | 8 Aug → | ||
| 4–13 | -0.05 | 10% | 7 Aug → | ||
| 16–14 | -0.03 | 14% | 7 Aug → | ||
| 6–3 | -0.05 | 8% | 7 Aug → | ||
| 13–7 | 0.03 | 18% | 7 Aug → | ||
| 13–9 | 0.12 | 11% | 7 Aug → | ||
| 13–4 | 0.06 | 16% | 7 Aug → | ||
| 13–9 | 0.06 | 14% | 7 Aug → | ||
| 13–7 | 0.10 | 29% | 7 Aug → | ||
| 8–13 | -0.09 | 11% | 7 Aug → | ||
| 2–13 | 0.00 | 25% | 7 Aug → | ||
| 13–11 | 0.00 | 14% | 7 Aug → | ||
| 5–13 | 0.02 | 6% | 7 Aug → | ||
| 13–7 | 0.02 | 5% | 7 Aug → | ||
| 10–13 | -0.03 | 15% | 7 Aug → | ||
| 13–11 | -0.03 | 10% | 7 Aug → | ||
| 13–7 | 0.01 | 14% | 4 Aug → | ||
| 16–12 | -0.05 | 13% | 4 Aug → | ||
| 13–11 | 0.02 | 14% | 3 Aug → | ||
| 5–13 | -0.01 | 26% | 3 Aug → | ||
| 13–8 | -0.02 | 17% | 3 Aug → | ||
| 10–13 | -0.03 | 4% | 3 Aug → | ||
| 16–13 | 0.07 | 10% | 3 Aug → | ||
| 14–16 | 0.00 | 9% | 3 Aug → | ||
| 13–2 | 0.01 | 10% | 3 Aug → | ||
| 13–11 | 0.05 | 6% | 3 Aug → | ||
| 13–11 | 0.02 | 9% | 3 Aug → | ||
| 13–11 | 0.10 | 5% | 3 Aug → | ||
| 8–13 | -0.01 | 18% | 3 Aug → | ||
| 10–13 | 0.07 | 9% | 3 Aug → | ||
| 11–13 | 0.13 | 17% | 3 Aug → | ||
| 14–16 | 0.03 | 10% | 1 Aug → | ||
| 9–13 | -0.08 | 11% | 1 Aug → | ||
| 10–0 | 0.15 | 11% | 1 Aug → | ||
| 9–13 | 0.01 | 10% | 30 Jul → | ||
| 11–13 | 0.06 | 6% | 30 Jul → | ||
| 4–13 | -0.08 | 3% | 30 Jul → | ||
| 11–13 | -0.05 | 4% | 30 Jul → | ||
| 10–13 | 0.03 | 16% | 29 Jul → | ||
| 13–9 | 0.06 | 13% | 29 Jul → | ||
| 15–15 | 0.01 | 13% | 29 Jul → | ||
| 13–1 | 0.07 | 8% | 29 Jul → | ||
| 16–12 | 0.02 | 18% | 29 Jul → |
Match data via Leetify.