No. — CS2 Stats
76561197975950791[U:1:15685063]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.07 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 84% 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 26 | 14–12 | 54% | 0.01 | |
| C | 17 | 7–10 | 41% | -0.02 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| S | 9 | 8–1 | 89% | 0.03 | |
| office | D | 8 | 2–6 | 25% | 0.02 |
| S | 6 | 4–2 | 67% | 0.02 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| — | 3 | 2–1 | 67% | -0.00 | |
| — | 3 | 1–2 | 33% | -0.00 | |
| warden | — | 2 | 1–1 | 50% | 0.09 |
| alpine | — | 1 | 0–1 | 0% | 0.04 |
| italy | — | 1 | 0–1 | 0% | -0.09 |
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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 20 | 35% | 0.90 | 12.8 |
| Dust2 | 8 | 50% | 0.88 | 16.8 |
| Overpass | 7 | 29% | 0.94 | 14.7 |
| Ancient | 5 | 60% | 0.92 | 15.0 |
| Inferno | 5 | 80% | 1.03 | 14.4 |
| Nuke | 4 | 50% | 1.46 | 19.8 |
| Train | 1 | 100% | 1.12 | 18.0 |
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 9.1067% — below the 15% 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 0.312 — 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 34.3764% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.00 | 8% | 19 May → | ||
| 2–4 | -0.02 | 0% | 17 May → | ||
| 13–6 | -0.01 | 15% | 17 May → | ||
| warden | 13–2 | 0.06 | 6% | 17 May → | |
| warden | 12–12 | 0.11 | 9% | 15 May → | |
| alpine | 12–12 | 0.04 | 8% | 10 May → | |
| 12–12 | 0.07 | 11% | 10 May → | ||
| 8–13 | 0.15 | 5% | 10 May → | ||
| 13–7 | 0.09 | 4% | 9 May → | ||
| 12–12 | 0.05 | 5% | 10 Jan → | ||
| 4–13 | -0.03 | 18% | 23 Nov → | ||
| 13–11 | -0.03 | 7% | 23 Nov → | ||
| 9–13 | 0.01 | 3% | 22 Nov → | ||
| office | 7–13 | -0.02 | 29% | 22 Nov → | |
| 13–9 | -0.01 | 8% | 19 Nov → | ||
| 10–13 | -0.05 | 12% | 16 Nov → | ||
| 13–10 | -0.03 | 15% | 16 Nov → | ||
| office | 5–13 | 0.01 | 4% | 25 Oct → | |
| office | 12–12 | 0.03 | 5% | 23 Oct → | |
| office | 5–13 | 0.01 | 6% | 23 Oct → | |
| office | 13–6 | 0.15 | 12% | 23 Oct → | |
| 14–16 | -0.03 | 14% | 23 Oct → | ||
| office | 11–13 | -0.06 | 8% | 9 Oct → | |
| office | 12–12 | -0.01 | 10% | 5 Oct → | |
| office | 13–8 | 0.04 | 8% | 5 Oct → | |
| italy | 8–13 | -0.09 | 8% | 5 Oct → | |
| 12–12 | 0.01 | 4% | 17 Sept → | ||
| 12–12 | 0.13 | 11% | 17 Sept → | ||
| 13–5 | 0.04 | 6% | 17 Sept → | ||
| 13–9 | -0.04 | 7% | 17 Aug → | ||
| 13–7 | 0.04 | 7% | 17 Aug → | ||
| 15–15 | -0.01 | 6% | 16 Aug → | ||
| 3–13 | -0.07 | 7% | 16 Aug → | ||
| 13–5 | 0.02 | 11% | 16 Aug → | ||
| 13–6 | -0.01 | 19% | 16 Aug → | ||
| 13–10 | 0.04 | 8% | 14 Aug → | ||
| 13–7 | -0.01 | 10% | 14 Aug → | ||
| 13–11 | -0.01 | 10% | 12 Aug → | ||
| 13–9 | 0.03 | 8% | 12 Aug → | ||
| 7–13 | -0.06 | 8% | 12 Aug → | ||
| 13–1 | 0.10 | 10% | 12 Aug → | ||
| 13–5 | 0.07 | 1% | 9 Aug → | ||
| 5–9 | 0.01 | 2% | 9 Aug → | ||
| 8–13 | 0.02 | 8% | 28 Jul → | ||
| 13–5 | 0.02 | 16% | 25 Jul → | ||
| 13–9 | 0.01 | 4% | 21 Jul → | ||
| 7–13 | -0.02 | 8% | 21 Jul → | ||
| 9–13 | -0.01 | 9% | 16 Jul → | ||
| 9–13 | -0.06 | 6% | 8 Jul → | ||
| 16–14 | -0.04 | 3% | 5 Jul → | ||
| 8–13 | -0.04 | 5% | 24 May → | ||
| 15–15 | -0.02 | 20% | 24 May → | ||
| 16–13 | 0.08 | 5% | 17 May → | ||
| 13–11 | -0.00 | 12% | 17 May → | ||
| 13–11 | 0.07 | 10% | 17 May → | ||
| 13–7 | 0.10 | 10% | 16 May → | ||
| 13–10 | 0.06 | 14% | 14 May → | ||
| 13–6 | -0.01 | 5% | 14 May → | ||
| 13–9 | 0.01 | 17% | 14 May → | ||
| 14–16 | 0.00 | 1% | 13 May → | ||
| 5–13 | 0.03 | 4% | 11 May → | ||
| 13–9 | 0.01 | 11% | 7 Mar → | ||
| 13–10 | -0.03 | 14% | 7 Mar → | ||
| 10–13 | -0.01 | 10% | 7 Mar → | ||
| 13–7 | -0.05 | 10% | 7 Mar → | ||
| 3–13 | -0.08 | 4% | 6 Mar → | ||
| 16–13 | 0.00 | 8% | 6 Mar → | ||
| 0–6 | -0.04 | 11% | 6 Mar → | ||
| 13–4 | 0.09 | 7% | 2 Mar → | ||
| 15–15 | 0.03 | 5% | 2 Mar → | ||
| 3–13 | 0.03 | 7% | 1 Mar → | ||
| 0–9 | -0.03 | 17% | 1 Mar → | ||
| 13–10 | 0.01 | 18% | 1 Mar → | ||
| 4–13 | -0.05 | 0% | 28 Feb → | ||
| 15–15 | -0.03 | 7% | 26 Feb → | ||
| 13–5 | 0.02 | 25% | 16 Feb → | ||
| 13–2 | -0.04 | 11% | 16 Feb → | ||
| 13–7 | 0.02 | 6% | 16 Feb → | ||
| 13–3 | 0.04 | 10% | 16 Feb → | ||
| 16–14 | -0.02 | 6% | 15 Feb → | ||
| 7–13 | -0.04 | 5% | 15 Feb → | ||
| 3–13 | -0.07 | 11% | 15 Feb → | ||
| 13–5 | -0.04 | 12% | 11 Feb → | ||
| 13–9 | 0.06 | 6% | 11 Feb → | ||
| 13–4 | 0.06 | 19% | 9 Feb → | ||
| 13–7 | -0.07 | 3% | 9 Feb → | ||
| 0–13 | -0.06 | 12% | 6 Feb → | ||
| 7–13 | -0.02 | 13% | 6 Feb → | ||
| 6–13 | -0.03 | 11% | 29 Dec → | ||
| 13–11 | 0.02 | 11% | 29 Dec → | ||
| 6–13 | -0.04 | 11% | 29 Dec → | ||
| 13–7 | 0.03 | 9% | 29 Dec → | ||
| 13–10 | 0.01 | 7% | 27 Dec → | ||
| 13–10 | -0.05 | 11% | 27 Dec → | ||
| 4–13 | -0.07 | 17% | 27 Dec → | ||
| 1–13 | -0.04 | 3% | 23 Dec → | ||
| 9–13 | -0.02 | 9% | 23 Dec → | ||
| 6–13 | -0.04 | 9% | 23 Dec → | ||
| 13–7 | 0.03 | 6% | 23 Dec → | ||
| 13–9 | -0.02 | 10% | 22 Dec → |
Match data via Leetify.