powerseN — CS2 Stats
DE76561197993984690[U:1:33718962]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 46.4% | 52.8% |
| Shot accuracy | 12.0% | 13.7% |
| Kill/death ratio | 1.07 | 1.08 |
| Match win rate | 35.8% | 49.2% |
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective flashesHigh utility contribution
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 b1t 88% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: higher 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
Strengths
Utility. Utility score of 81 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 585ms 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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 25 | 15–10 | 60% | 0.03 | |
| C | 20 | 8–12 | 40% | 0.02 | |
| B | 19 | 10–9 | 53% | 0.03 | |
| B | 14 | 7–7 | 50% | 0.01 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| poseidon | — | 2 | 0–2 | 0% | -0.01 |
| eldorado | — | 1 | 0–1 | 0% | 0.10 |
| debris | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 20). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 161 | 58% | 1.34 | 19.1 |
| Inferno | 114 | 47% | 1.26 | 18.4 |
| Nuke | 105 | 57% | 1.45 | 19.0 |
| Anubis | 66 | 45% | 1.21 | 18.0 |
| Dust2 | 30 | 37% | 1.07 | 16.7 |
| Train | 13 | 54% | 1.44 | 19.9 |
| Mirage | 11 | 27% | 1.05 | 13.3 |
| Vertigo | 5 | 0% | 0.70 | 11.6 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0021° — above the 12° 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 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.05 | 17% | 27 Aug → | ||
| 13–10 | 0.03 | 25% | 27 Aug → | ||
| 13–11 | 0.01 | 13% | 27 Aug → | ||
| 11–13 | 0.01 | 17% | 27 Aug → | ||
| 13–5 | -0.00 | 16% | 26 Aug → | ||
| 16–13 | -0.03 | 23% | 26 Aug → | ||
| 13–4 | 0.16 | 24% | 26 Aug → | ||
| 10–13 | -0.08 | 20% | 25 Aug → | ||
| 11–13 | 0.04 | 10% | 25 Aug → | ||
| 16–14 | 0.01 | 13% | 25 Aug → | ||
| 10–13 | -0.03 | 16% | 24 Aug → | ||
| 15–15 | 0.02 | 10% | 24 Aug → | ||
| 13–3 | 0.14 | 17% | 24 Aug → | ||
| 2–13 | -0.03 | 4% | 24 Aug → | ||
| 16–13 | 0.03 | 16% | 24 Aug → | ||
| 15–15 | -0.01 | 14% | 23 Aug → | ||
| 13–4 | -0.01 | 22% | 23 Aug → | ||
| 13–11 | -0.00 | 15% | 23 Aug → | ||
| 13–6 | 0.07 | 11% | 23 Aug → | ||
| 10–13 | -0.00 | 11% | 23 Aug → | ||
| 7–13 | 0.01 | 8% | 23 Aug → | ||
| 1–13 | -0.01 | 17% | 21 Aug → | ||
| 10–13 | -0.02 | 26% | 21 Aug → | ||
| 13–7 | -0.00 | 20% | 21 Aug → | ||
| 5–13 | 0.03 | 10% | 20 Aug → | ||
| 13–10 | -0.02 | 20% | 20 Aug → | ||
| 13–10 | 0.04 | 16% | 20 Aug → | ||
| 13–16 | 0.02 | 8% | 20 Aug → | ||
| 16–12 | -0.04 | 15% | 19 Aug → | ||
| 10–13 | -0.03 | 20% | 19 Aug → | ||
| 13–2 | 0.05 | 12% | 19 Aug → | ||
| 10–13 | -0.00 | 24% | 18 Aug → | ||
| 9–13 | 0.03 | 17% | 18 Aug → | ||
| 16–12 | 0.11 | 23% | 18 Aug → | ||
| 4–13 | -0.03 | 12% | 18 Aug → | ||
| 10–13 | 0.07 | 16% | 15 Aug → | ||
| 13–3 | 0.07 | 33% | 15 Aug → | ||
| 13–2 | 0.10 | 28% | 15 Aug → | ||
| 13–7 | -0.02 | 2% | 15 Aug → | ||
| 11–13 | 0.08 | 21% | 14 Aug → | ||
| 4–13 | 0.09 | 19% | 14 Aug → | ||
| 5–0 | 0.06 | 60% | 14 Aug → | ||
| 9–13 | -0.01 | 17% | 13 Aug → | ||
| 13–16 | 0.04 | 18% | 13 Aug → | ||
| eldorado | 8–8 | 0.10 | 26% | 13 Aug → | |
| poseidon | 4–9 | -0.06 | 38% | 13 Aug → | |
| 7–13 | 0.05 | 19% | 12 Aug → | ||
| 7–13 | 0.04 | 18% | 12 Aug → | ||
| 4–13 | -0.04 | 21% | 11 Aug → | ||
| 11–13 | 0.01 | 27% | 11 Aug → | ||
| 13–1 | 0.22 | 20% | 11 Aug → | ||
| 13–2 | 0.08 | 15% | 11 Aug → | ||
| 14–16 | 0.03 | 22% | 11 Aug → | ||
| 4–13 | 0.04 | 18% | 10 Aug → | ||
| 7–13 | 0.04 | 21% | 10 Aug → | ||
| 13–4 | 0.05 | 19% | 9 Aug → | ||
| 13–6 | 0.02 | 19% | 9 Aug → | ||
| 6–13 | 0.05 | 14% | 9 Aug → | ||
| 6–13 | 0.07 | 24% | 9 Aug → | ||
| 9–13 | 0.01 | 28% | 8 Aug → | ||
| 6–13 | 0.02 | 17% | 8 Aug → | ||
| 13–7 | -0.01 | 24% | 8 Aug → | ||
| 8–13 | -0.02 | 21% | 8 Aug → | ||
| 3–13 | -0.05 | 19% | 6 Aug → | ||
| 13–0 | -0.01 | 17% | 6 Aug → | ||
| 13–2 | 0.04 | 27% | 6 Aug → | ||
| 13–4 | 0.04 | 27% | 5 Aug → | ||
| 13–11 | 0.03 | 26% | 5 Aug → | ||
| 1–5 | -0.15 | 27% | 5 Aug → | ||
| debris | 4–9 | 0.03 | 19% | 5 Aug → | |
| 9–4 | 0.17 | 21% | 5 Aug → | ||
| 9–4 | 0.15 | 12% | 5 Aug → | ||
| 13–6 | 0.06 | 20% | 4 Aug → | ||
| 8–13 | -0.04 | 11% | 4 Aug → | ||
| 16–14 | 0.06 | 22% | 4 Aug → | ||
| 4–13 | -0.06 | 22% | 2 Aug → | ||
| 13–8 | 0.01 | 20% | 2 Aug → | ||
| 6–13 | -0.09 | 9% | 2 Aug → | ||
| 13–7 | 0.08 | 26% | 2 Aug → | ||
| 16–14 | 0.02 | 14% | 2 Aug → | ||
| 13–11 | -0.04 | 32% | 1 Aug → | ||
| 13–10 | -0.02 | 31% | 1 Aug → | ||
| 13–8 | 0.07 | 10% | 1 Aug → | ||
| 9–13 | 0.00 | 17% | 31 Jul → | ||
| 15–15 | 0.02 | 21% | 31 Jul → | ||
| 4–13 | 0.02 | 35% | 31 Jul → | ||
| 16–14 | 0.01 | 17% | 31 Jul → | ||
| 8–13 | -0.02 | 25% | 31 Jul → | ||
| 13–8 | -0.05 | 15% | 31 Jul → | ||
| 13–11 | 0.09 | 23% | 31 Jul → | ||
| 3–13 | -0.00 | 22% | 31 Jul → | ||
| 13–4 | 0.12 | 38% | 31 Jul → | ||
| 3–13 | -0.01 | 10% | 30 Jul → | ||
| poseidon | 7–9 | 0.03 | 29% | 30 Jul → | |
| 9–2 | 0.14 | 15% | 30 Jul → | ||
| 6–13 | -0.08 | 20% | 29 Jul → | ||
| 13–11 | -0.01 | 18% | 27 Jul → | ||
| 6–13 | -0.00 | 22% | 27 Jul → | ||
| 13–9 | 0.06 | 26% | 27 Jul → | ||
| 13–7 | 0.13 | 28% | 24 Jul → |
Match data via Leetify.
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