Xtruggle — CS2 Stats
76561198028984107[U:1:68718379]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 | 58.7% | 52.8% |
| Shot accuracy | 18.3% | 13.7% |
| Kill/death ratio | 0.85 | 1.08 |
| Match win rate | 33.5% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 86% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower 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 50% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 618ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 21 | 10–11 | 48% | -0.01 | |
| A | 20 | 11–9 | 55% | 0.00 | |
| A | 14 | 8–6 | 57% | -0.01 | |
| D | 10 | 3–7 | 30% | -0.01 | |
| C | 9 | 4–5 | 44% | -0.02 | |
| A | 9 | 5–4 | 56% | 0.00 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 158 | 54% | 0.89 | 12.9 |
| Anubis | 153 | 50% | 0.91 | 12.6 |
| Inferno | 142 | 59% | 0.97 | 13.1 |
| Dust2 | 78 | 50% | 0.99 | 13.6 |
| Mirage | 38 | 47% | 1.03 | 14.5 |
| Overpass | 33 | 45% | 0.82 | 12.6 |
| Vertigo | 30 | 60% | 1.11 | 15.1 |
| Nuke | 27 | 41% | 0.74 | 11.3 |
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 20.4375% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.00 | 15% | 23 Apr → | ||
| 11–13 | -0.06 | 17% | 23 Apr → | ||
| 13–11 | 0.01 | 17% | 23 Apr → | ||
| 4–13 | -0.12 | 36% | 14 Mar → | ||
| 13–7 | -0.05 | 10% | 31 Jan → | ||
| 7–13 | 0.01 | 21% | 31 Jan → | ||
| 13–9 | 0.06 | 18% | 30 Jan → | ||
| 13–3 | 0.08 | 10% | 30 Jan → | ||
| 19–16 | 0.05 | 15% | 18 Nov → | ||
| 8–13 | -0.07 | 15% | 17 Nov → | ||
| 9–13 | 0.06 | 22% | 17 Nov → | ||
| 13–9 | 0.00 | 23% | 13 Nov → | ||
| 13–3 | -0.01 | 39% | 13 Nov → | ||
| 13–8 | 0.06 | 17% | 6 Nov → | ||
| 13–5 | 0.05 | 11% | 6 Nov → | ||
| 13–11 | -0.06 | 15% | 4 Nov → | ||
| 11–13 | -0.01 | 20% | 4 Nov → | ||
| 13–4 | -0.01 | 26% | 4 Nov → | ||
| 5–1 | 0.08 | 38% | 31 Oct → | ||
| 13–4 | 0.05 | 29% | 31 Oct → | ||
| 10–13 | -0.03 | 20% | 31 Oct → | ||
| 8–13 | 0.01 | 16% | 25 Sept → | ||
| 13–9 | 0.03 | 33% | 24 Sept → | ||
| 13–9 | 0.05 | 25% | 24 Sept → | ||
| 13–16 | -0.02 | 12% | 24 Sept → | ||
| 10–13 | -0.02 | 14% | 24 Sept → | ||
| 15–15 | 0.01 | 17% | 23 Sept → | ||
| 9–13 | -0.05 | 26% | 23 Sept → | ||
| 5–13 | -0.07 | 28% | 23 Sept → | ||
| 13–6 | -0.02 | 28% | 23 Sept → | ||
| 7–1 | 0.11 | 23% | 11 Aug → | ||
| 13–11 | -0.03 | 15% | 30 Jul → | ||
| 6–13 | -0.02 | 14% | 22 Jul → | ||
| 13–7 | 0.06 | 19% | 22 Jul → | ||
| 5–13 | -0.04 | 24% | 22 Jul → | ||
| 9–13 | -0.04 | 21% | 6 Jul → | ||
| 5–13 | 0.00 | 30% | 15 Jun → | ||
| 8–13 | 0.02 | 24% | 15 Jun → | ||
| 13–5 | 0.01 | 17% | 15 Jun → | ||
| 13–10 | -0.04 | 30% | 4 Jun → | ||
| 13–10 | 0.03 | 24% | 18 May → | ||
| 10–13 | -0.02 | 23% | 18 May → | ||
| 6–13 | -0.05 | 19% | 7 May → | ||
| 13–3 | 0.04 | 24% | 7 May → | ||
| 13–10 | -0.04 | 26% | 6 May → | ||
| 8–13 | 0.01 | 21% | 4 May → | ||
| 11–13 | 0.03 | 12% | 4 May → | ||
| 13–9 | -0.01 | 25% | 15 Mar → | ||
| 13–10 | -0.03 | 15% | 13 Mar → | ||
| 11–13 | -0.02 | 23% | 11 Mar → | ||
| 13–10 | -0.03 | 15% | 11 Mar → | ||
| 5–13 | -0.06 | 17% | 11 Mar → | ||
| 13–9 | -0.04 | 24% | 23 Feb → | ||
| 5–13 | -0.08 | 14% | 23 Feb → | ||
| 13–4 | -0.03 | 18% | 23 Feb → | ||
| 13–6 | 0.00 | 20% | 22 Feb → | ||
| 10–13 | -0.05 | 28% | 10 Feb → | ||
| 13–7 | 0.06 | 24% | 6 Feb → | ||
| 13–6 | 0.02 | 19% | 6 Feb → | ||
| 25–28 | -0.05 | 13% | 5 Feb → | ||
| 13–10 | -0.01 | 19% | 28 Jan → | ||
| 15–19 | -0.04 | 21% | 4 Jan → | ||
| 11–13 | -0.04 | 14% | 4 Jan → | ||
| 12–12 | -0.05 | 27% | 4 Jan → | ||
| 11–13 | -0.04 | 23% | 4 Jan → | ||
| 13–11 | 0.10 | 19% | 30 Dec → | ||
| 9–13 | -0.03 | 14% | 17 Dec → | ||
| 13–7 | -0.06 | 17% | 17 Dec → | ||
| 11–13 | -0.05 | 18% | 19 Nov → | ||
| 13–7 | -0.05 | 4% | 14 Nov → | ||
| 13–9 | 0.03 | 20% | 9 Nov → | ||
| 9–13 | 0.01 | 14% | 9 Nov → | ||
| 6–13 | -0.08 | 21% | 9 Nov → | ||
| 13–10 | 0.04 | 19% | 6 Nov → | ||
| 13–10 | 0.07 | 21% | 6 Nov → | ||
| 13–16 | -0.01 | 20% | 6 Nov → | ||
| 11–13 | -0.02 | 32% | 6 Nov → | ||
| 8–13 | -0.03 | 17% | 27 Oct → | ||
| 13–11 | -0.04 | 9% | 27 Oct → | ||
| 10–13 | -0.04 | 18% | 22 Oct → | ||
| 10–13 | -0.02 | 29% | 21 Oct → | ||
| 16–12 | 0.01 | 12% | 20 Oct → | ||
| 7–13 | -0.04 | 11% | 20 Oct → | ||
| 8–13 | -0.05 | 24% | 20 Oct → | ||
| 9–13 | 0.02 | 19% | 20 Oct → | ||
| 10–13 | 0.06 | 25% | 16 Oct → | ||
| 9–13 | 0.05 | 23% | 16 Oct → | ||
| 13–6 | -0.02 | 22% | 15 Oct → | ||
| 13–4 | 0.01 | 24% | 15 Oct → | ||
| 15–15 | 0.05 | 23% | 14 Oct → | ||
| 7–13 | 0.04 | 19% | 14 Oct → | ||
| 13–9 | -0.04 | 24% | 14 Oct → | ||
| 0–13 | 0.01 | 26% | 14 Oct → | ||
| 13–10 | 0.05 | 15% | 12 Oct → | ||
| 13–6 | 0.08 | 25% | 12 Oct → | ||
| 13–11 | 0.01 | 31% | 12 Oct → | ||
| 13–7 | 0.04 | 19% | 12 Oct → | ||
| 6–13 | -0.04 | 16% | 12 Oct → | ||
| 13–7 | 0.08 | 32% | 12 Oct → | ||
| 16–14 | 0.01 | 25% | 9 Oct → |
Match data via Leetify.
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