33 — CS2 Stats
76561199468998304[U:1:1508732576]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.03 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 82% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning 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
Positioning. Positioning trails aim by 35 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. 633ms 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 4.9/10 (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 |
|---|---|---|---|---|---|
 mirage | A | 25 | 16–9 | 64% | -0.01 |
 dust2 | S | 21 | 14–7 | 67% | 0.01 |
 ancient | B | 16 | 8–8 | 50% | -0.02 |
 anubis | S | 12 | 9–3 | 75% | -0.01 |
 inferno | A | 9 | 5–4 | 56% | -0.01 |
 cache | D | 6 | 2–4 | 33% | -0.03 |
 overpass | A | 5 | 3–2 | 60% | 0.00 |
 nuke | — | 4 | 1–3 | 25% | -0.02 |
 vertigo | — | 2 | 2–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 284 | 52% | 1.00 | 16.1 |
| Dust2 | 153 | 51% | 1.02 | 15.9 |
| Ancient | 96 | 58% | 1.06 | 16.2 |
| Nuke | 53 | 40% | 0.94 | 15.3 |
| Anubis | 39 | 49% | 0.95 | 15.2 |
| Inferno | 20 | 40% | 0.77 | 12.7 |
| Overpass | 17 | 47% | 0.81 | 13.9 |
| Train | 10 | 50% | 1.14 | 16.6 |
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 0.3825 — 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 33.4687% — 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 12–16 | -0.07 | 11% | 25 Aug → | |
| mirage | 8–13 | -0.05 | 10% | 20 Jul → | |
| dust2 | 0–13 | -0.06 | 0% | 20 Jul → | |
| ancient | 8–13 | -0.06 | 19% | 13 Jul → | |
| dust2 | 13–5 | 0.01 | 15% | 13 Jul → | |
| mirage | 4–13 | -0.01 | 37% | 10 Jul → | |
| dust2 | 13–7 | -0.00 | 19% | 10 Jul → | |
| mirage | 9–13 | -0.02 | 13% | 9 Jul → | |
| dust2 | 13–11 | 0.03 | 12% | 7 Jul → | |
| dust2 | 4–13 | -0.06 | 9% | 7 Jul → | |
| mirage | 13–5 | -0.02 | 9% | 5 Jul → | |
| mirage | 6–13 | -0.06 | 17% | 4 Jul → | |
| anubis | 13–7 | -0.02 | 12% | 2 Jul → | |
| mirage | 13–4 | 0.02 | 26% | 1 Jul → | |
| mirage | 13–7 | -0.02 | 11% | 1 Jul → | |
| ancient | 13–6 | -0.01 | 13% | 26 Jun → | |
| cache | 8–13 | 0.05 | 18% | 26 Jun → | |
| mirage | 2–13 | -0.00 | 42% | 24 Jun → | |
| anubis | 13–7 | 0.04 | 15% | 24 Jun → | |
| dust2 | 13–9 | 0.02 | 21% | 24 Jun → | |
| anubis | 13–5 | 0.02 | 7% | 24 Jun → | |
| dust2 | 5–13 | -0.06 | 19% | 24 Jun → | |
| dust2 | 13–4 | 0.08 | 13% | 23 Jun → | |
| ancient | 10–13 | 0.01 | 19% | 22 Jun → | |
| inferno | 11–13 | -0.03 | 13% | 22 Jun → | |
| mirage | 7–7 | -0.03 | 13% | 21 Jun → | |
| ancient | 11–13 | 0.03 | 14% | 21 Jun → | |
| dust2 | 14–16 | 0.04 | 17% | 19 Jun → | |
| ancient | 13–16 | -0.05 | 26% | 18 Jun → | |
| anubis | 11–13 | -0.02 | 10% | 17 Jun → | |
| overpass | 13–4 | 0.03 | 17% | 16 Jun → | |
| ancient | 10–13 | -0.03 | 9% | 15 Jun → | |
| mirage | 13–3 | 0.00 | 12% | 15 Jun → | |
| ancient | 13–8 | -0.00 | 14% | 12 Jun → | |
| mirage | 5–13 | -0.00 | 18% | 12 Jun → | |
| anubis | 13–8 | -0.05 | 15% | 11 Jun → | |
| mirage | 19–17 | -0.02 | 13% | 11 Jun → | |
| anubis | 13–5 | -0.00 | 5% | 10 Jun → | |
| overpass | 11–13 | 0.02 | 18% | 8 Jun → | |
| ancient | 11–13 | -0.01 | 15% | 8 Jun → | |
| dust2 | 13–10 | 0.06 | 25% | 7 Jun → | |
| dust2 | 13–10 | 0.09 | 16% | 7 Jun → | |
| dust2 | 9–13 | -0.05 | 17% | 6 Jun → | |
| anubis | 13–6 | -0.07 | 10% | 6 Jun → | |
| overpass | 15–15 | 0.00 | 13% | 5 Jun → | |
| mirage | 6–13 | -0.07 | 9% | 4 Jun → | |
| cache | 16–14 | -0.01 | 17% | 4 Jun → | |
| mirage | 8–13 | -0.05 | 16% | 4 Jun → | |
| mirage | 13–9 | 0.01 | 11% | 3 Jun → | |
| mirage | 13–7 | 0.04 | 20% | 3 Jun → | |
| mirage | 13–1 | -0.04 | 24% | 2 Jun → | |
| mirage | 13–9 | 0.02 | 12% | 31 May → | |
| ancient | 1–13 | -0.06 | 25% | 30 May → | |
| inferno | 13–5 | -0.04 | 5% | 29 May → | |
| overpass | 13–11 | -0.01 | 23% | 28 May → | |
| mirage | 16–13 | -0.05 | 11% | 27 May → | |
| dust2 | 13–4 | 0.01 | 11% | 27 May → | |
| cache | 3–13 | -0.09 | 27% | 26 May → | |
| ancient | 13–10 | -0.03 | 7% | 26 May → | |
| inferno | 13–6 | 0.06 | 20% | 24 May → | |
| nuke | 10–13 | -0.05 | 11% | 24 May → | |
| ancient | 13–7 | -0.06 | 13% | 24 May → | |
| anubis | 13–2 | 0.05 | 33% | 24 May → | |
| inferno | 22–18 | -0.01 | 21% | 23 May → | |
| anubis | 13–10 | 0.05 | 19% | 23 May → | |
| cache | 11–13 | 0.00 | 18% | 23 May → | |
| ancient | 16–12 | -0.01 | 12% | 21 May → | |
| mirage | 13–6 | 0.01 | 22% | 20 May → | |
| mirage | 13–10 | -0.04 | 18% | 20 May → | |
| anubis | 10–13 | -0.08 | 9% | 20 May → | |
| vertigo | 13–7 | -0.00 | 18% | 19 May → | |
| dust2 | 16–12 | 0.04 | 18% | 19 May → | |
| dust2 | 13–4 | -0.00 | 21% | 19 May → | |
| inferno | 12–16 | -0.04 | 10% | 18 May → | |
| dust2 | 8–0 | 0.07 | 28% | 18 May → | |
| ancient | 9–13 | -0.07 | 21% | 18 May → | |
| anubis | 5–13 | -0.08 | 14% | 18 May → | |
| mirage | 13–7 | 0.01 | 11% | 17 May → | |
| ancient | 13–9 | 0.01 | 11% | 17 May → | |
| dust2 | 13–16 | 0.04 | 13% | 17 May → | |
| ancient | 13–7 | -0.01 | 10% | 17 May → | |
| inferno | 16–12 | 0.00 | 11% | 16 May → | |
| mirage | 13–8 | -0.00 | 19% | 16 May → | |
| nuke | 6–13 | -0.05 | 6% | 16 May → | |
| dust2 | 13–4 | 0.02 | 14% | 15 May → | |
| dust2 | 13–6 | -0.00 | 23% | 15 May → | |
| cache | 13–10 | -0.04 | 29% | 15 May → | |
| dust2 | 13–5 | 0.02 | 9% | 15 May → | |
| vertigo | 13–4 | 0.04 | 22% | 15 May → | |
| dust2 | 13–16 | -0.02 | 6% | 15 May → | |
| inferno | 12–16 | 0.00 | 15% | 15 May → | |
| anubis | 13–7 | 0.04 | 15% | 14 May → | |
| nuke | 13–5 | 0.07 | 16% | 14 May → | |
| mirage | 16–13 | 0.03 | 16% | 14 May → | |
| inferno | 5–13 | 0.01 | 21% | 13 May → | |
| mirage | 8–2 | 0.03 | 17% | 13 May → | |
| overpass | 13–4 | -0.03 | 0% | 13 May → | |
| nuke | 11–13 | -0.04 | 19% | 13 May → | |
| ancient | 13–9 | 0.05 | 19% | 13 May → | |
| inferno | 13–6 | -0.06 | 0% | 11 May → |
Match data via Leetify.
