no5t1ng — CS2 Stats
76561197972373472[U:1:12107744]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
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 Twistzz 78% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Reaction time. 612ms 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 3.8/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 28 | 13–15 | 46% | 0.02 | |
| A | 20 | 12–8 | 60% | 0.01 | |
| B | 15 | 8–7 | 53% | -0.01 | |
| A | 9 | 5–4 | 56% | -0.02 | |
| D | 9 | 3–6 | 33% | -0.04 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| S | 6 | 5–1 | 83% | 0.04 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| italy | — | 1 | 1–0 | 100% | -0.07 |
| — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Overpass 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 38 | 53% | 1.30 | 18.4 |
| Dust2 | 21 | 38% | 1.38 | 19.4 |
| Inferno | 15 | 47% | 1.09 | 15.6 |
| Ancient | 7 | 29% | 0.83 | 14.1 |
| Anubis | 6 | 17% | 1.02 | 14.0 |
| Nuke | 5 | 40% | 0.90 | 14.0 |
| Overpass | 2 | 50% | 1.19 | 21.0 |
| Cache | 2 | 0% | 0.84 | 17.5 |
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 0.3931 — below the 0.5 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 35.1145% — 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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.02 | 21% | 24 Apr → | ||
| 9–13 | 0.04 | 9% | 24 Apr → | ||
| 13–11 | -0.02 | 5% | 13 Nov → | ||
| 6–13 | 0.04 | 13% | 10 Nov → | ||
| 6–13 | 0.00 | 13% | 10 Nov → | ||
| 8–13 | 0.05 | 33% | 8 Nov → | ||
| 4–9 | -0.05 | 12% | 8 Nov → | ||
| 2–13 | -0.07 | 19% | 4 Nov → | ||
| 10–13 | -0.01 | 19% | 3 Nov → | ||
| 16–13 | 0.02 | 17% | 3 Nov → | ||
| 13–2 | 0.03 | 33% | 3 Nov → | ||
| 2–13 | -0.06 | 21% | 3 Nov → | ||
| 5–13 | -0.02 | 3% | 3 Nov → | ||
| 4–13 | -0.04 | 14% | 2 Nov → | ||
| 7–13 | -0.04 | 15% | 2 Nov → | ||
| 13–4 | 0.12 | 24% | 27 Oct → | ||
| 11–13 | -0.02 | 24% | 25 Oct → | ||
| 13–10 | 0.15 | 14% | 25 Oct → | ||
| 4–13 | -0.05 | 15% | 6 Oct → | ||
| 13–10 | -0.00 | 17% | 30 Sept → | ||
| 9–2 | 0.06 | 12% | 30 Sept → | ||
| 15–15 | 0.00 | 18% | 29 Sept → | ||
| 13–7 | -0.01 | 13% | 29 Sept → | ||
| 4–13 | -0.05 | 37% | 28 Sept → | ||
| 13–1 | 0.02 | 41% | 3 Sept → | ||
| 6–13 | 0.01 | 18% | 1 Sept → | ||
| 13–7 | -0.11 | 13% | 1 Aug → | ||
| italy | 13–3 | -0.07 | 0% | 29 Jul → | |
| 13–8 | -0.14 | 0% | 29 Jul → | ||
| 8–13 | 0.00 | 0% | 29 Jul → | ||
| 3–13 | -0.11 | 0% | 28 Jul → | ||
| 3–13 | -0.11 | 17% | 28 Jul → | ||
| 4–13 | 0.06 | 16% | 10 Jul → | ||
| 13–11 | 0.06 | 21% | 1 Jul → | ||
| 6–9 | 0.01 | 25% | 31 Jan → | ||
| 1–9 | -0.21 | 25% | 29 Jan → | ||
| 13–8 | -0.00 | 19% | 18 May → | ||
| 8–13 | -0.02 | 5% | 12 May → | ||
| 13–9 | -0.03 | 37% | 12 Apr → | ||
| 13–3 | 0.04 | 10% | 4 Apr → | ||
| 10–13 | -0.06 | 15% | 30 Mar → | ||
| 16–12 | -0.01 | 6% | 29 Mar → | ||
| 10–13 | -0.06 | 14% | 16 Mar → | ||
| 13–11 | 0.02 | 13% | 16 Mar → | ||
| 13–7 | 0.10 | 15% | 11 Mar → | ||
| 13–11 | 0.01 | 10% | 7 Mar → | ||
| 13–11 | -0.02 | 13% | 6 Mar → | ||
| 9–13 | -0.05 | 14% | 4 Mar → | ||
| 13–7 | 0.00 | 16% | 1 Mar → | ||
| 13–5 | -0.01 | 20% | 20 Feb → | ||
| 13–8 | 0.04 | 15% | 20 Feb → | ||
| 13–10 | 0.02 | 24% | 16 Feb → | ||
| 13–6 | 0.07 | 16% | 16 Feb → | ||
| 5–13 | -0.02 | 24% | 12 Feb → | ||
| 13–10 | -0.01 | 28% | 6 Feb → | ||
| 13–9 | 0.06 | 34% | 3 Feb → | ||
| 7–13 | -0.09 | 15% | 23 Jan → | ||
| 10–16 | -0.04 | 14% | 1 Sept → | ||
| 16–6 | 0.03 | 9% | 31 Aug → | ||
| 15–15 | -0.02 | 14% | 17 Aug → | ||
| 16–13 | 0.07 | 29% | 15 Jun → | ||
| 9–16 | 0.07 | 24% | 18 May → | ||
| 16–7 | -0.01 | 20% | 18 May → | ||
| 16–13 | -0.09 | 9% | 12 May → | ||
| 16–12 | -0.02 | 16% | 12 May → | ||
| 16–9 | -0.05 | 15% | 11 May → | ||
| 16–10 | 0.08 | 15% | 10 May → | ||
| 17–19 | -0.02 | 7% | 7 May → | ||
| 16–13 | 0.07 | 9% | 7 May → | ||
| 11–16 | -0.00 | 4% | 6 May → | ||
| 11–16 | -0.11 | 6% | 4 May → | ||
| 8–8 | -0.03 | 12% | 1 May → | ||
| 9–6 | 0.03 | 18% | 28 Apr → | ||
| 9–3 | 0.08 | 26% | 25 Apr → | ||
| 4–9 | 0.03 | 21% | 18 Apr → | ||
| 16–9 | -0.02 | 12% | 16 Apr → | ||
| 10–16 | 0.02 | 15% | 15 Apr → | ||
| 16–14 | -0.01 | 8% | 15 Apr → | ||
| 2–12 | -0.05 | 17% | 14 Apr → | ||
| 8–16 | -0.04 | 7% | 6 Apr → | ||
| 8–16 | 0.06 | 11% | 6 Apr → | ||
| 13–2 | 0.09 | 18% | 6 Apr → | ||
| 14–16 | -0.08 | 12% | 4 Apr → | ||
| 16–8 | 0.01 | 8% | 4 Apr → | ||
| 19–16 | -0.00 | 11% | 4 Apr → | ||
| 16–13 | 0.00 | 10% | 3 Apr → | ||
| 16–7 | 0.09 | 20% | 3 Apr → | ||
| 9–6 | 0.04 | 20% | 2 Apr → | ||
| 8–8 | -0.04 | 15% | 1 Apr → | ||
| 9–3 | 0.03 | 23% | 1 Apr → | ||
| 9–2 | 0.13 | 26% | 1 Apr → | ||
| 9–3 | 0.12 | 13% | 1 Apr → | ||
| 15–15 | 0.05 | 15% | 1 Apr → | ||
| 2–16 | -0.01 | 9% | 31 Mar → | ||
| 14–16 | 0.02 | 16% | 12 Mar → | ||
| 14–16 | 0.00 | 13% | 11 Mar → | ||
| 16–9 | 0.03 | 14% | 11 Mar → | ||
| 16–7 | -0.02 | 12% | 9 Mar → | ||
| 16–11 | -0.02 | 7% | 8 Mar → | ||
| 16–12 | 0.00 | 9% | 8 Mar → |
Match data via Leetify.
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