xin3f — CS2 Stats
76561198928732688[U:1:968466960]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 Twistzz 93% playstyle similarity
Most alike: opening-duel success, aim profile.
Where you differ: lower utility contribution.
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
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 |
|---|---|---|---|---|---|
| C | 29 | 12–17 | 41% | 0.03 | |
| S | 17 | 11–6 | 65% | 0.03 | |
| S | 17 | 11–6 | 65% | 0.02 | |
| C | 12 | 5–7 | 42% | 0.04 | |
| C | 7 | 3–4 | 43% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 3 | 0–3 | 0% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (41% over 29). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1046 | 52% | 1.27 | 17.9 |
| Ancient | 610 | 54% | 1.20 | 17.0 |
| Anubis | 529 | 54% | 1.27 | 17.9 |
| Dust2 | 508 | 53% | 1.20 | 17.7 |
| Inferno | 275 | 54% | 1.31 | 17.7 |
| Overpass | 99 | 61% | 1.21 | 18.1 |
| Nuke | 53 | 43% | 1.05 | 16.7 |
| Vertigo | 25 | 40% | 1.07 | 16.5 |
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.4636% — 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.
41% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | 0.02 | 25% | 27 Aug → | ||
| 16–13 | 0.02 | 16% | 25 Aug → | ||
| 13–4 | 0.11 | 31% | 25 Aug → | ||
| 8–13 | 0.00 | 23% | 18 Aug → | ||
| 6–13 | 0.00 | 33% | 18 Aug → | ||
| 12–16 | 0.01 | 20% | 11 Aug → | ||
| 13–8 | 0.01 | 39% | 6 Aug → | ||
| 11–13 | 0.04 | 56% | 6 Aug → | ||
| 2–13 | -0.10 | 45% | 31 Jul → | ||
| 13–6 | 0.01 | 12% | 30 Jul → | ||
| 29–31 | -0.02 | 24% | 29 Jul → | ||
| 5–13 | -0.05 | 22% | 24 Jul → | ||
| 13–11 | 0.04 | 39% | 24 Jul → | ||
| 11–13 | -0.00 | 29% | 23 Jul → | ||
| 7–13 | 0.02 | 25% | 22 Jul → | ||
| 13–5 | 0.12 | 33% | 19 Jul → | ||
| 16–13 | 0.03 | 35% | 19 Jul → | ||
| 7–2 | 0.47 | 18% | 15 Jul → | ||
| 13–8 | 0.05 | 21% | 8 Jul → | ||
| 9–13 | 0.01 | 31% | 8 Jul → | ||
| 13–16 | 0.06 | 18% | 6 Jul → | ||
| 13–5 | 0.05 | 24% | 6 Jul → | ||
| 11–13 | 0.02 | 11% | 4 Jul → | ||
| 13–3 | 0.00 | 26% | 2 Jul → | ||
| 13–5 | -0.01 | 27% | 2 Jul → | ||
| 13–6 | 0.12 | 30% | 30 Jun → | ||
| 9–2 | 0.08 | 27% | 25 Jun → | ||
| 7–13 | -0.01 | 30% | 8 Jun → | ||
| 4–13 | -0.02 | 17% | 6 Jun → | ||
| 16–13 | -0.04 | 26% | 30 May → | ||
| 9–13 | 0.04 | 26% | 14 May → | ||
| 13–10 | 0.07 | 36% | 14 May → | ||
| 5–13 | -0.04 | 19% | 14 May → | ||
| 13–11 | 0.01 | 45% | 11 May → | ||
| 13–6 | 0.13 | 24% | 29 Apr → | ||
| 7–13 | 0.04 | 25% | 22 Apr → | ||
| 16–13 | 0.12 | 34% | 22 Apr → | ||
| 6–13 | -0.04 | 17% | 15 Apr → | ||
| 11–13 | -0.02 | 19% | 9 Apr → | ||
| 13–7 | 0.01 | 17% | 9 Apr → | ||
| 7–13 | 0.09 | 50% | 6 Apr → | ||
| 10–13 | 0.10 | 19% | 6 Apr → | ||
| 10–13 | 0.00 | 18% | 3 Apr → | ||
| 12–16 | 0.06 | 27% | 30 Mar → | ||
| 11–13 | 0.03 | 48% | 21 Mar → | ||
| 13–5 | 0.01 | 28% | 21 Mar → | ||
| 13–3 | 0.06 | 33% | 16 Mar → | ||
| 3–13 | 0.08 | 19% | 22 Feb → | ||
| 8–13 | 0.09 | 21% | 7 Feb → | ||
| 7–13 | -0.04 | 21% | 23 Jan → | ||
| 13–5 | 0.10 | 33% | 22 Jan → | ||
| 13–2 | 0.13 | 29% | 22 Jan → | ||
| 13–8 | 0.03 | 13% | 21 Jan → | ||
| 13–10 | -0.02 | 19% | 21 Jan → | ||
| 12–12 | 0.04 | 16% | 21 Jan → | ||
| 13–2 | 0.02 | 32% | 3 Dec → | ||
| 13–3 | 0.01 | 33% | 3 Dec → | ||
| 13–3 | 0.04 | 20% | 3 Dec → | ||
| 9–13 | 0.02 | 33% | 2 Dec → | ||
| 7–13 | 0.06 | 33% | 1 Dec → | ||
| 13–7 | 0.12 | 21% | 1 Dec → | ||
| 16–14 | -0.01 | 25% | 5 Nov → | ||
| 13–1 | 0.17 | 26% | 5 Nov → | ||
| 13–10 | 0.07 | 32% | 5 Nov → | ||
| 13–6 | 0.02 | 25% | 4 Nov → | ||
| 10–13 | 0.02 | 19% | 4 Nov → | ||
| 13–9 | 0.03 | 35% | 3 Nov → | ||
| 11–13 | -0.04 | 24% | 3 Nov → | ||
| 13–5 | 0.13 | 22% | 3 Nov → | ||
| 8–13 | 0.02 | 37% | 2 Nov → | ||
| 7–13 | 0.03 | 27% | 1 Nov → | ||
| 13–5 | 0.01 | 64% | 1 Nov → | ||
| 13–3 | 0.03 | 29% | 1 Nov → | ||
| 16–14 | 0.03 | 25% | 1 Nov → | ||
| 13–6 | -0.02 | 13% | 1 Nov → | ||
| 11–13 | 0.04 | 29% | 31 Oct → | ||
| 13–4 | 0.02 | 27% | 31 Oct → | ||
| 16–14 | 0.02 | 23% | 27 Oct → | ||
| 13–8 | -0.02 | 27% | 26 Oct → | ||
| 13–8 | 0.07 | 35% | 7 Oct → | ||
| 10–13 | 0.03 | 29% | 7 Oct → | ||
| 1–13 | -0.07 | 13% | 7 Oct → | ||
| 7–13 | -0.06 | 50% | 5 Oct → | ||
| 13–6 | -0.01 | 26% | 5 Oct → | ||
| 11–13 | 0.05 | 28% | 5 Oct → | ||
| 13–5 | -0.05 | 15% | 5 Oct → | ||
| 13–8 | 0.00 | 28% | 5 Oct → | ||
| 9–13 | 0.08 | 39% | 4 Oct → | ||
| 13–8 | 0.05 | 24% | 3 Oct → | ||
| 6–13 | 0.16 | 28% | 3 Oct → | ||
| 5–13 | 0.06 | 26% | 3 Oct → | ||
| 13–6 | 0.02 | 30% | 3 Oct → | ||
| 10–13 | -0.06 | 28% | 27 Sept → | ||
| 6–13 | 0.01 | 50% | 26 Sept → | ||
| 10–13 | -0.05 | 37% | 25 Sept → | ||
| 6–13 | -0.02 | 75% | 25 Sept → | ||
| 13–4 | 0.00 | 18% | 23 Sept → | ||
| 10–13 | 0.03 | 30% | 7 Sept → | ||
| 4–13 | -0.01 | 34% | 7 Sept → | ||
| 6–13 | -0.07 | 9% | 6 Sept → |
Match data via Leetify.
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