Råd — CS2 Stats
DK76561197985562728[U:1:25297000]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 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 81% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower opening-duel success; 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
Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 (×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 |
|---|---|---|---|---|---|
| A | 24 | 14–10 | 58% | 0.00 | |
| B | 23 | 12–11 | 52% | -0.01 | |
| C | 12 | 5–7 | 42% | -0.02 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.00 | |
| S | 7 | 5–2 | 71% | 0.00 | |
| S | 6 | 4–2 | 67% | -0.01 | |
| S | 5 | 4–1 | 80% | -0.01 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| — | 4 | 2–2 | 50% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 64 | 55% | 1.04 | 14.7 |
| Anubis | 62 | 50% | 0.82 | 12.0 |
| Inferno | 62 | 60% | 0.97 | 15.3 |
| Cache | 28 | 54% | 0.77 | 12.0 |
| Ancient | 25 | 44% | 1.24 | 16.7 |
| Mirage | 17 | 53% | 0.94 | 13.9 |
| Train | 15 | 73% | 1.21 | 15.1 |
| Overpass | 8 | 75% | 1.08 | 13.3 |
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 0.3965 — 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 24.0254% — 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.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.01 | 24% | 28 Aug → | ||
| 13–6 | 0.04 | 15% | 28 Aug → | ||
| 6–13 | -0.04 | 17% | 24 Aug → | ||
| 13–4 | 0.01 | 38% | 24 Aug → | ||
| 12–16 | -0.02 | 17% | 22 Aug → | ||
| 10–13 | -0.02 | 18% | 16 Aug → | ||
| 13–5 | -0.04 | 17% | 12 Aug → | ||
| 13–3 | 0.01 | 10% | 12 Aug → | ||
| 13–4 | 0.02 | 25% | 12 Aug → | ||
| 13–9 | 0.05 | 22% | 10 Aug → | ||
| 9–13 | 0.01 | 22% | 7 Aug → | ||
| 13–4 | 0.08 | 16% | 9 Jul → | ||
| 13–5 | 0.01 | 21% | 9 Jul → | ||
| 13–5 | 0.10 | 23% | 9 Jul → | ||
| 13–3 | -0.00 | 22% | 8 Jul → | ||
| 13–9 | 0.04 | 14% | 8 Jul → | ||
| 6–13 | -0.02 | 16% | 8 Jul → | ||
| 13–16 | -0.01 | 18% | 8 Jul → | ||
| 11–13 | -0.08 | 15% | 7 Jul → | ||
| 7–13 | -0.03 | 20% | 7 Jul → | ||
| 9–13 | -0.02 | 16% | 5 Jul → | ||
| 13–6 | -0.00 | 15% | 4 Jul → | ||
| 13–10 | -0.04 | 10% | 26 Jun → | ||
| 22–19 | -0.04 | 29% | 25 Jun → | ||
| 13–8 | -0.03 | 4% | 25 Jun → | ||
| 11–13 | -0.01 | 19% | 22 Jun → | ||
| 10–13 | -0.07 | 23% | 20 Jun → | ||
| 9–13 | -0.01 | 10% | 20 Jun → | ||
| 11–13 | -0.02 | 31% | 8 Jun → | ||
| 10–13 | 0.02 | 20% | 7 Jun → | ||
| 13–16 | -0.03 | 25% | 7 Jun → | ||
| 13–8 | -0.03 | 9% | 18 Jul → | ||
| 13–3 | -0.01 | 5% | 18 Jul → | ||
| 13–10 | 0.02 | 23% | 18 Jul → | ||
| 13–9 | -0.04 | 16% | 18 Jul → | ||
| 13–9 | 0.02 | 14% | 17 Jul → | ||
| 16–12 | -0.04 | 17% | 17 Jul → | ||
| 13–8 | 0.01 | 26% | 17 Jul → | ||
| 13–4 | 0.06 | 24% | 17 Jul → | ||
| 13–1 | 0.07 | 20% | 17 Jul → | ||
| 10–13 | -0.08 | 14% | 15 Jul → | ||
| 13–11 | -0.02 | 23% | 15 Jul → | ||
| 13–11 | -0.05 | 17% | 15 Jul → | ||
| 11–13 | -0.01 | 18% | 14 Jul → | ||
| 13–4 | 0.02 | 18% | 14 Jul → | ||
| 16–19 | -0.08 | 22% | 13 Jul → | ||
| 13–16 | -0.05 | 18% | 13 Jul → | ||
| 13–10 | 0.06 | 17% | 8 Jul → | ||
| 13–9 | -0.02 | 21% | 6 Jul → | ||
| 6–13 | -0.05 | 23% | 6 Jul → | ||
| 13–9 | 0.02 | 22% | 5 Jul → | ||
| 13–11 | 0.04 | 16% | 5 Jul → | ||
| 13–10 | 0.03 | 21% | 4 Jul → | ||
| 9–13 | -0.02 | 12% | 30 Jun → | ||
| 9–13 | -0.06 | 9% | 29 Jun → | ||
| 13–2 | 0.07 | 16% | 24 Jun → | ||
| 13–0 | 0.03 | 20% | 24 Jun → | ||
| 13–6 | 0.02 | 20% | 29 May → | ||
| 13–3 | 0.13 | 21% | 29 May → | ||
| 13–3 | 0.12 | 24% | 29 May → | ||
| 13–2 | 0.10 | 10% | 29 May → | ||
| 13–4 | 0.06 | 25% | 29 May → | ||
| 11–16 | -0.02 | 16% | 18 May → | ||
| 16–13 | -0.02 | 8% | 18 May → | ||
| 16–10 | -0.02 | 11% | 18 May → | ||
| 16–9 | -0.06 | 5% | 18 May → | ||
| 22–18 | 0.01 | 13% | 17 May → | ||
| 6–16 | -0.11 | 7% | 13 May → | ||
| 16–19 | -0.00 | 17% | 13 May → | ||
| 22–19 | 0.04 | 11% | 13 May → | ||
| 9–15 | -0.06 | 13% | 12 May → | ||
| 16–14 | -0.03 | 20% | 12 May → | ||
| 8–16 | -0.04 | 5% | 12 May → | ||
| 9–16 | -0.05 | 15% | 17 Apr → | ||
| 11–16 | -0.05 | 3% | 17 Apr → | ||
| 22–18 | -0.00 | 8% | 17 Apr → | ||
| 11–16 | -0.01 | 20% | 17 Apr → | ||
| 16–13 | 0.06 | 16% | 16 Apr → | ||
| 14–16 | -0.03 | 16% | 16 Apr → | ||
| 16–11 | 0.04 | 13% | 16 Apr → | ||
| 16–7 | 0.01 | 16% | 16 Apr → | ||
| 11–16 | -0.04 | 4% | 15 Apr → | ||
| 16–11 | 0.04 | 18% | 15 Apr → | ||
| 16–19 | -0.04 | 10% | 15 Apr → | ||
| 16–13 | -0.04 | 19% | 15 Apr → | ||
| 16–8 | -0.03 | 14% | 15 Apr → | ||
| 10–16 | -0.02 | 6% | 14 Apr → | ||
| 8–16 | 0.05 | 26% | 14 Apr → | ||
| 16–11 | 0.03 | 10% | 14 Apr → | ||
| 19–17 | -0.02 | 17% | 14 Apr → | ||
| 3–16 | -0.06 | 7% | 14 Apr → | ||
| 13–16 | -0.02 | 13% | 14 Apr → | ||
| 13–16 | 0.03 | 7% | 13 Apr → | ||
| 16–14 | -0.01 | 12% | 13 Apr → | ||
| 16–12 | 0.00 | 8% | 13 Apr → | ||
| 16–9 | -0.04 | 8% | 13 Apr → | ||
| 9–16 | -0.04 | 5% | 12 Apr → | ||
| 11–16 | -0.05 | 4% | 12 Apr → | ||
| 16–9 | 0.07 | 13% | 12 Apr → | ||
| 10–16 | -0.05 | 17% | 12 Apr → |
Match data via Leetify.
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