stop — CS2 Stats
76561198217858171[U:1:257592443]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.05 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 NiKo 78% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 603ms 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 4.7/10 (Developing), 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 |
|---|---|---|---|---|---|
 mirage | C | 18 | 7–11 | 39% | 0.00 |
 dust2 | C | 17 | 6–11 | 35% | -0.00 |
 nuke | A | 14 | 9–5 | 64% | -0.01 |
 anubis | B | 12 | 6–6 | 50% | -0.02 |
 inferno | B | 11 | 5–6 | 45% | -0.01 |
 cache | A | 9 | 5–4 | 56% | -0.01 |
 overpass | C | 5 | 2–3 | 40% | -0.01 |
 ancient | — | 4 | 2–2 | 50% | -0.02 |
| office | — | 4 | 1–3 | 25% | 0.01 |
 vertigo | — | 3 | 1–2 | 33% | -0.04 |
 train | — | 1 | 1–0 | 100% | 0.08 |
| shelter | — | 1 | 0–1 | 0% | -0.10 |
| italy | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 75% | 0.67 | 10.0 |
| Inferno | 2 | 0% | 0.82 | 12.0 |
| Train | 1 | 100% | 0.65 | 11.0 |
| Nuke | 1 | 0% | 0.24 | 4.0 |
| Anubis | 1 | 100% | 0.93 | 13.0 |
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.
- 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 0.4208 — 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 25.5251% — 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.
35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 6–9 | -0.04 | 18% | 27 Aug → | |
| train | 13–1 | 0.08 | 12% | 23 Aug → | |
| dust2 | 13–10 | 0.02 | 17% | 23 Aug → | |
| anubis | 6–13 | -0.03 | 12% | 23 Aug → | |
| mirage | 11–13 | -0.03 | 15% | 23 Aug → | |
| dust2 | 9–13 | -0.02 | 16% | 23 Aug → | |
| inferno | 8–8 | 0.20 | 15% | 23 Aug → | |
| inferno | 13–3 | 0.08 | 26% | 19 Aug → | |
| inferno | 8–8 | -0.09 | 13% | 19 Aug → | |
| anubis | 13–6 | 0.05 | 12% | 19 Jul → | |
| shelter | 4–13 | -0.10 | 13% | 19 Jul → | |
| ancient | 16–12 | -0.00 | 18% | 5 Jul → | |
| mirage | 10–13 | 0.01 | 8% | 27 Jun → | |
| nuke | 12–12 | -0.04 | 15% | 15 Jun → | |
| dust2 | 12–12 | -0.06 | 28% | 15 Jun → | |
| dust2 | 13–2 | 0.05 | 22% | 8 Jun → | |
| vertigo | 8–13 | -0.04 | 23% | 8 Jun → | |
| vertigo | 12–12 | -0.04 | 19% | 7 Jun → | |
| anubis | 13–4 | 0.02 | 35% | 2 Jun → | |
| office | 8–13 | -0.05 | 14% | 14 May → | |
| cache | 6–13 | -0.02 | 13% | 14 May → | |
| office | 12–12 | 0.01 | 29% | 14 May → | |
| cache | 7–13 | -0.02 | 8% | 7 May → | |
| cache | 12–12 | -0.04 | 8% | 7 May → | |
| cache | 13–10 | -0.00 | 7% | 7 May → | |
| cache | 13–4 | -0.02 | 11% | 7 May → | |
| cache | 13–6 | 0.03 | 11% | 7 May → | |
| cache | 13–9 | 0.04 | 29% | 4 May → | |
| mirage | 13–9 | -0.02 | 16% | 3 May → | |
| cache | 9–13 | -0.06 | 27% | 30 Apr → | |
| cache | 13–3 | 0.03 | 15% | 30 Apr → | |
| italy | 13–9 | 0.01 | 24% | 28 Apr → | |
| nuke | 12–12 | -0.00 | 24% | 23 Apr → | |
| dust2 | 13–4 | -0.01 | 21% | 20 Apr → | |
| dust2 | 9–13 | -0.08 | 24% | 17 Apr → | |
| mirage | 5–13 | -0.03 | 20% | 16 Apr → | |
| dust2 | 7–13 | 0.01 | 14% | 15 Apr → | |
| dust2 | 2–13 | -0.08 | 19% | 15 Apr → | |
| mirage | 13–9 | -0.03 | 10% | 13 Apr → | |
| vertigo | 13–11 | -0.03 | 18% | 10 Apr → | |
| mirage | 12–12 | 0.01 | 29% | 5 Apr → | |
| dust2 | 9–13 | 0.04 | 17% | 3 Apr → | |
| anubis | 13–10 | -0.04 | 12% | 3 Apr → | |
| anubis | 3–13 | -0.04 | 9% | 2 Apr → | |
| anubis | 6–13 | -0.04 | 15% | 2 Apr → | |
| anubis | 2–13 | -0.02 | 17% | 1 Apr → | |
| mirage | 10–13 | -0.05 | 13% | 1 Apr → | |
| mirage | 9–13 | 0.05 | 27% | 31 Mar → | |
| dust2 | 11–13 | -0.03 | 17% | 31 Mar → | |
| nuke | 13–11 | 0.01 | 20% | 30 Mar → | |
| nuke | 13–11 | 0.06 | 17% | 30 Mar → | |
| dust2 | 13–11 | 0.04 | 12% | 26 Mar → | |
| office | 10–13 | 0.06 | 21% | 21 Mar → | |
| dust2 | 13–6 | 0.02 | 27% | 17 Mar → | |
| nuke | 13–7 | -0.01 | 14% | 17 Mar → | |
| anubis | 13–9 | 0.12 | 17% | 15 Mar → | |
| ancient | 11–13 | -0.02 | 21% | 15 Mar → | |
| inferno | 5–13 | -0.04 | 9% | 14 Mar → | |
| overpass | 13–9 | 0.04 | 18% | 14 Mar → | |
| inferno | 13–11 | 0.03 | 18% | 12 Mar → | |
| overpass | 13–2 | 0.01 | 13% | 12 Mar → | |
| mirage | 13–6 | 0.08 | 20% | 12 Mar → | |
| dust2 | 10–13 | -0.01 | 26% | 9 Mar → | |
| nuke | 5–13 | -0.00 | 26% | 9 Mar → | |
| mirage | 10–13 | -0.00 | 22% | 8 Mar → | |
| nuke | 13–10 | -0.07 | 15% | 8 Mar → | |
| dust2 | 11–13 | 0.05 | 19% | 8 Mar → | |
| mirage | 13–5 | -0.02 | 22% | 6 Mar → | |
| nuke | 13–11 | -0.04 | 16% | 6 Mar → | |
| mirage | 13–11 | -0.02 | 24% | 3 Mar → | |
| ancient | 13–7 | -0.03 | 21% | 28 Feb → | |
| mirage | 9–13 | 0.07 | 20% | 28 Feb → | |
| overpass | 7–13 | -0.01 | 23% | 28 Feb → | |
| inferno | 5–13 | -0.02 | 17% | 8 Feb → | |
| ancient | 13–16 | -0.03 | 33% | 8 Feb → | |
| dust2 | 9–13 | 0.02 | 12% | 8 Feb → | |
| nuke | 13–9 | 0.06 | 21% | 7 Feb → | |
| dust2 | 7–13 | 0.02 | 20% | 7 Feb → | |
| nuke | 9–7 | -0.07 | 8% | 7 Feb → | |
| nuke | 13–7 | 0.03 | 25% | 7 Feb → | |
| anubis | 13–6 | -0.00 | 7% | 7 Feb → | |
| anubis | 6–13 | -0.12 | 0% | 6 Feb → | |
| anubis | 13–4 | -0.03 | 8% | 6 Feb → | |
| mirage | 10–13 | -0.04 | 11% | 5 Feb → | |
| overpass | 4–13 | -0.07 | 13% | 4 Feb → | |
| nuke | 13–9 | -0.03 | 23% | 3 Feb → | |
| dust2 | 13–9 | -0.06 | 21% | 3 Feb → | |
| nuke | 8–8 | 0.04 | 17% | 3 Feb → | |
| overpass | 15–15 | -0.01 | 15% | 2 Feb → | |
| inferno | 13–8 | -0.05 | 24% | 2 Feb → | |
| nuke | 10–13 | -0.05 | 8% | 2 Feb → | |
| mirage | 13–9 | -0.04 | 21% | 2 Feb → | |
| inferno | 9–5 | -0.09 | 5% | 2 Feb → | |
| office | 13–10 | 0.01 | 17% | 1 Feb → | |
| mirage | 9–13 | 0.05 | 17% | 1 Feb → | |
| inferno | 13–5 | -0.09 | 21% | 30 Jan → | |
| inferno | 9–13 | -0.05 | 10% | 30 Jan → | |
| mirage | 15–15 | -0.02 | 23% | 30 Jan → | |
| mirage | 13–3 | 0.04 | 29% | 29 Jan → | |
| anubis | 8–13 | -0.09 | 10% | 29 Jan → |
Match data via Leetify.
