ZeedeN — CS2 Stats
76561197967708549[U:1:7442821]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median |
|---|---|---|
| Headshot rate | 49.8% | 48.1% |
| Shot accuracy | 13.4% | 12.9% |
| Kill/death ratio | 0.91 | 1.08 |
| Match win rate | 46.2% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 91% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: higher opening-fight frequency; 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 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 30 | 16–14 | 53% | -0.00 | |
| A | 16 | 10–6 | 63% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.00 | |
| S | 10 | 7–3 | 70% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.00 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| A | 7 | 4–3 | 57% | -0.03 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 2 | 1–1 | 50% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Inferno 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 264 | 61% | 1.13 | 15.9 |
| Ancient | 210 | 48% | 1.02 | 14.8 |
| Dust2 | 193 | 46% | 1.07 | 15.0 |
| Inferno | 190 | 48% | 1.04 | 14.4 |
| Anubis | 190 | 51% | 1.12 | 14.8 |
| Train | 114 | 62% | 1.17 | 14.7 |
| Mirage | 90 | 39% | 0.98 | 14.6 |
| Overpass | 25 | 40% | 1.01 | 14.3 |
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.
- 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 31.2256% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.02 | 13% | 25 Aug → | ||
| 13–11 | -0.04 | 10% | 5 Aug → | ||
| 11–13 | -0.01 | 16% | 5 Aug → | ||
| 13–7 | -0.00 | 36% | 1 Aug → | ||
| 10–13 | -0.03 | 23% | 28 Jul → | ||
| 5–13 | 0.01 | 29% | 11 Jul → | ||
| 8–13 | -0.06 | 24% | 11 Jul → | ||
| 13–6 | 0.01 | 6% | 8 Jul → | ||
| 2–13 | -0.07 | 33% | 6 Jul → | ||
| 13–8 | 0.06 | 11% | 5 Jul → | ||
| 16–12 | -0.04 | 14% | 5 Jul → | ||
| 8–13 | -0.00 | 15% | 12 Jun → | ||
| 15–19 | -0.05 | 15% | 4 Jun → | ||
| 13–6 | 0.03 | 20% | 1 Jun → | ||
| 13–9 | 0.06 | 25% | 28 May → | ||
| 11–13 | -0.01 | 16% | 23 May → | ||
| 11–13 | -0.00 | 17% | 23 May → | ||
| 10–13 | -0.01 | 20% | 22 May → | ||
| 13–6 | -0.01 | 19% | 22 May → | ||
| 13–3 | 0.04 | 8% | 22 May → | ||
| 16–13 | 0.00 | 16% | 14 May → | ||
| 13–4 | 0.12 | 13% | 14 May → | ||
| 13–10 | -0.01 | 12% | 14 May → | ||
| 7–13 | -0.06 | 19% | 14 May → | ||
| 13–6 | 0.04 | 13% | 14 May → | ||
| 4–13 | -0.05 | 17% | 6 May → | ||
| 13–2 | 0.06 | 18% | 2 May → | ||
| 13–4 | 0.02 | 15% | 22 Apr → | ||
| 13–7 | 0.00 | 20% | 19 Apr → | ||
| 13–8 | -0.04 | 17% | 7 Apr → | ||
| 13–9 | 0.06 | 18% | 6 Apr → | ||
| 11–13 | 0.01 | 12% | 6 Apr → | ||
| 13–11 | -0.05 | 10% | 6 Apr → | ||
| 9–13 | -0.03 | 16% | 5 Apr → | ||
| 19–15 | -0.03 | 15% | 22 Mar → | ||
| 13–11 | -0.04 | 19% | 22 Mar → | ||
| 8–13 | -0.03 | 8% | 22 Mar → | ||
| 13–2 | 0.04 | 7% | 22 Mar → | ||
| 6–13 | -0.04 | 17% | 15 Mar → | ||
| 13–3 | 0.08 | 11% | 15 Mar → | ||
| 13–16 | 0.03 | 17% | 15 Mar → | ||
| 13–16 | 0.01 | 13% | 15 Mar → | ||
| 10–13 | 0.01 | 24% | 14 Mar → | ||
| 9–13 | -0.04 | 21% | 8 Mar → | ||
| 10–13 | -0.02 | 16% | 8 Mar → | ||
| 13–10 | 0.07 | 13% | 6 Mar → | ||
| 13–8 | -0.02 | 13% | 6 Mar → | ||
| 13–11 | 0.03 | 18% | 6 Mar → | ||
| 13–8 | -0.01 | 15% | 27 Feb → | ||
| 11–13 | 0.02 | 20% | 27 Feb → | ||
| 13–6 | 0.04 | 10% | 27 Feb → | ||
| 7–13 | -0.03 | 17% | 27 Feb → | ||
| 14–16 | 0.01 | 13% | 22 Feb → | ||
| 13–9 | 0.12 | 26% | 22 Feb → | ||
| 8–13 | -0.02 | 24% | 22 Feb → | ||
| 5–13 | -0.05 | 6% | 22 Feb → | ||
| 13–10 | 0.07 | 15% | 14 Feb → | ||
| 13–4 | 0.01 | 11% | 13 Feb → | ||
| 13–6 | 0.01 | 19% | 12 Feb → | ||
| 14–16 | 0.02 | 23% | 12 Feb → | ||
| 13–8 | 0.03 | 15% | 12 Feb → | ||
| 13–11 | -0.03 | 9% | 9 Feb → | ||
| 13–9 | 0.01 | 15% | 9 Feb → | ||
| 4–13 | -0.06 | 10% | 9 Feb → | ||
| 13–4 | 0.09 | 27% | 9 Feb → | ||
| 12–16 | -0.05 | 27% | 8 Feb → | ||
| 4–13 | -0.03 | 13% | 4 Feb → | ||
| 13–8 | 0.09 | 22% | 4 Feb → | ||
| 14–16 | 0.03 | 11% | 2 Feb → | ||
| 4–10 | -0.10 | 22% | 2 Feb → | ||
| 13–9 | -0.01 | 5% | 1 Feb → | ||
| 13–6 | 0.04 | 12% | 1 Feb → | ||
| 14–16 | -0.01 | 18% | 1 Feb → | ||
| 7–13 | -0.02 | 24% | 1 Feb → | ||
| 19–17 | -0.00 | 14% | 29 Jan → | ||
| 14–16 | 0.04 | 20% | 29 Jan → | ||
| 13–9 | 0.03 | 25% | 29 Jan → | ||
| 13–9 | 0.05 | 16% | 27 Jan → | ||
| 13–11 | -0.01 | 16% | 27 Jan → | ||
| 6–13 | 0.00 | 15% | 26 Jan → | ||
| 13–11 | -0.04 | 10% | 26 Jan → | ||
| 13–10 | 0.02 | 20% | 26 Jan → | ||
| 9–13 | 0.00 | 31% | 25 Jan → | ||
| 13–8 | 0.04 | 14% | 25 Jan → | ||
| 13–9 | 0.13 | 17% | 25 Jan → | ||
| 13–8 | 0.04 | 22% | 25 Jan → | ||
| 13–9 | -0.05 | 26% | 24 Jan → | ||
| 10–13 | 0.02 | 24% | 24 Jan → | ||
| 10–13 | -0.00 | 23% | 21 Jan → | ||
| 13–2 | 0.03 | 21% | 21 Jan → | ||
| 13–6 | -0.03 | 5% | 19 Jan → | ||
| 13–11 | -0.03 | 23% | 17 Jan → | ||
| 4–13 | -0.09 | 15% | 17 Jan → | ||
| 7–13 | -0.04 | 15% | 15 Jan → | ||
| 13–9 | 0.01 | 25% | 14 Jan → | ||
| 13–10 | -0.01 | 24% | 14 Jan → | ||
| 13–7 | 0.02 | 15% | 14 Jan → | ||
| 4–13 | -0.08 | 7% | 14 Jan → | ||
| 17–19 | 0.02 | 18% | 12 Jan → | ||
| 13–10 | 0.02 | 26% | 9 Jan → |
Match data via Leetify.
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