multiple cats meowing at once — CS2 Stats
VI76561198895640426[U:1:935374698]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 · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 NiKo 80% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 614ms 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 4.4/10 (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 |
|---|---|---|---|---|---|
| D | 42 | 14–28 | 33% | 0.01 | |
| C | 21 | 8–13 | 38% | 0.02 | |
| D | 12 | 4–8 | 33% | 0.03 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| S | 6 | 4–2 | 67% | 0.06 | |
| office | D | 5 | 1–4 | 20% | -0.01 |
| — | 2 | 1–1 | 50% | -0.05 | |
| — | 2 | 2–0 | 100% | 0.08 | |
| — | 1 | 0–1 | 0% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 40% | 0.94 | 15.6 |
| Inferno | 4 | 50% | 0.92 | 12.8 |
| Nuke | 3 | 67% | 1.05 | 16.7 |
| Dust2 | 3 | 67% | 1.15 | 17.7 |
| Anubis | 2 | 50% | 1.15 | 17.0 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.3486° — above the 12° mark we flag
- 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 0.3176 — 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.
33% win rate across 42 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.07 | 30% | 28 Aug → | ||
| 0–9 | -0.03 | 0% | 28 Aug → | ||
| 13–8 | -0.06 | 12% | 27 Aug → | ||
| 12–12 | 0.12 | 16% | 27 Aug → | ||
| 13–4 | 0.15 | 26% | 27 Aug → | ||
| 0–13 | 0.02 | 16% | 26 Aug → | ||
| 0–13 | -0.12 | 17% | 26 Aug → | ||
| 8–11 | 0.02 | 23% | 26 Aug → | ||
| 13–8 | 0.04 | 21% | 26 Aug → | ||
| 8–13 | -0.04 | 25% | 25 Aug → | ||
| office | 2–13 | -0.10 | 16% | 25 Aug → | |
| office | 13–11 | 0.04 | 13% | 25 Aug → | |
| 0–13 | -0.14 | 13% | 25 Aug → | ||
| 5–13 | 0.06 | 20% | 25 Aug → | ||
| 4–13 | 0.09 | 18% | 25 Aug → | ||
| 7–13 | 0.16 | 23% | 25 Aug → | ||
| 13–9 | 0.03 | 16% | 24 Aug → | ||
| 3–13 | -0.02 | 28% | 24 Aug → | ||
| 8–13 | 0.07 | 24% | 24 Aug → | ||
| 1–5 | -0.01 | 17% | 24 Aug → | ||
| 12–12 | -0.02 | 13% | 23 Aug → | ||
| 12–12 | -0.02 | 33% | 23 Aug → | ||
| 9–4 | 0.05 | 14% | 23 Aug → | ||
| 0–13 | -0.03 | 15% | 23 Aug → | ||
| 8–13 | 0.02 | 27% | 22 Aug → | ||
| 4–4 | -0.06 | 17% | 22 Aug → | ||
| 7–13 | -0.04 | 10% | 22 Aug → | ||
| 12–12 | -0.01 | 30% | 22 Aug → | ||
| 13–7 | 0.06 | 20% | 22 Aug → | ||
| 13–1 | 0.24 | 33% | 22 Aug → | ||
| 8–13 | -0.01 | 21% | 22 Aug → | ||
| 8–13 | 0.06 | 28% | 21 Aug → | ||
| 13–3 | 0.03 | 38% | 21 Aug → | ||
| 9–13 | 0.04 | 20% | 21 Aug → | ||
| 4–13 | -0.04 | 15% | 21 Aug → | ||
| 13–9 | 0.04 | 10% | 21 Aug → | ||
| 13–10 | -0.00 | 12% | 21 Aug → | ||
| 12–12 | -0.09 | 8% | 21 Aug → | ||
| 10–13 | -0.03 | 13% | 21 Aug → | ||
| 13–6 | 0.12 | 20% | 20 Aug → | ||
| 13–6 | 0.01 | 24% | 20 Aug → | ||
| 6–13 | -0.03 | 36% | 20 Aug → | ||
| 4–13 | -0.03 | 17% | 20 Aug → | ||
| 12–12 | 0.05 | 36% | 20 Aug → | ||
| 13–7 | 0.25 | 18% | 20 Aug → | ||
| office | 6–13 | -0.08 | 0% | 20 Aug → | |
| 11–13 | -0.02 | 15% | 20 Aug → | ||
| 13–7 | -0.06 | 15% | 19 Aug → | ||
| office | 8–13 | 0.10 | 34% | 19 Aug → | |
| 13–7 | 0.08 | 23% | 19 Aug → | ||
| 13–9 | 0.04 | 16% | 19 Aug → | ||
| 8–13 | 0.06 | 22% | 19 Aug → | ||
| 13–7 | 0.06 | 6% | 19 Aug → | ||
| 6–13 | -0.05 | 11% | 19 Aug → | ||
| 12–12 | 0.12 | 9% | 19 Aug → | ||
| 9–13 | -0.03 | 17% | 18 Aug → | ||
| 13–9 | 0.10 | 28% | 18 Aug → | ||
| 6–13 | 0.08 | 24% | 17 Aug → | ||
| 12–12 | 0.07 | 16% | 17 Aug → | ||
| 13–10 | 0.03 | 29% | 17 Aug → | ||
| 13–9 | -0.04 | 6% | 17 Aug → | ||
| 7–13 | -0.01 | 13% | 16 Aug → | ||
| 13–2 | 0.07 | 8% | 16 Aug → | ||
| 9–13 | 0.04 | 21% | 16 Aug → | ||
| 13–10 | 0.05 | 18% | 16 Aug → | ||
| 1–13 | -0.04 | 40% | 16 Aug → | ||
| 12–12 | 0.05 | 26% | 16 Aug → | ||
| 13–2 | 0.14 | 38% | 16 Aug → | ||
| 13–9 | 0.03 | 8% | 16 Aug → | ||
| 11–13 | -0.08 | 19% | 15 Aug → | ||
| 13–9 | 0.04 | 20% | 15 Aug → | ||
| 13–6 | 0.01 | 10% | 15 Aug → | ||
| 11–13 | 0.06 | 16% | 15 Aug → | ||
| 5–13 | 0.03 | 3% | 15 Aug → | ||
| 11–13 | -0.04 | 13% | 15 Aug → | ||
| 13–3 | 0.10 | 15% | 15 Aug → | ||
| 7–13 | -0.09 | 33% | 15 Aug → | ||
| 13–7 | 0.00 | 42% | 14 Aug → | ||
| 5–13 | -0.04 | 16% | 14 Aug → | ||
| 6–13 | -0.07 | 23% | 14 Aug → | ||
| 12–12 | -0.02 | 20% | 14 Aug → | ||
| 13–5 | -0.02 | 14% | 14 Aug → | ||
| 13–8 | 0.01 | 22% | 14 Aug → | ||
| 4–13 | -0.05 | 38% | 14 Aug → | ||
| office | 7–13 | -0.01 | 23% | 14 Aug → | |
| 13–8 | 0.04 | 10% | 14 Aug → | ||
| 0–13 | -0.09 | 19% | 14 Aug → | ||
| 7–13 | -0.02 | 19% | 14 Aug → | ||
| 13–9 | -0.00 | 26% | 14 Aug → | ||
| 8–13 | 0.01 | 22% | 14 Aug → | ||
| 6–13 | 0.01 | 24% | 13 Aug → | ||
| 13–9 | 0.10 | 16% | 13 Aug → | ||
| 9–13 | -0.03 | 12% | 13 Aug → | ||
| 13–4 | 0.06 | 22% | 13 Aug → | ||
| 4–13 | -0.06 | 17% | 13 Aug → | ||
| 11–13 | -0.01 | 16% | 13 Aug → | ||
| 13–8 | 0.01 | 5% | 12 Aug → | ||
| 13–2 | 0.01 | 30% | 12 Aug → | ||
| 13–8 | 0.07 | 22% | 12 Aug → | ||
| 13–10 | 0.07 | 12% | 12 Aug → |
Match data via Leetify.