stretch — CS2 Stats
76561198154624969[U:1:194359241]
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 56.1% | 52.8% | above |
| Shot accuracy | 17.0% | 13.7% | above |
| Kill/death ratio | 0.88 | 1.08 | 0.20 short |
| Match win rate | 43.1% | 49.2% | 6.1% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 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 Twistzz 91% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: 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 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 613ms 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 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 26 | 14–12 | 54% | -0.00 | |
| D | 16 | 4–12 | 25% | 0.01 | |
| D | 15 | 5–10 | 33% | -0.01 | |
| A | 12 | 7–5 | 58% | 0.04 | |
| S | 11 | 8–3 | 73% | -0.00 | |
| C | 10 | 4–6 | 40% | 0.02 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 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 |
|---|---|---|---|---|
| Mirage | 260 | 54% | 1.00 | 14.0 |
| Ancient | 122 | 52% | 1.01 | 14.6 |
| Dust2 | 99 | 41% | 0.92 | 13.2 |
| Vertigo | 88 | 60% | 1.02 | 14.5 |
| Nuke | 77 | 39% | 0.91 | 13.9 |
| Anubis | 69 | 29% | 0.89 | 13.5 |
| Overpass | 46 | 50% | 0.99 | 13.2 |
| Inferno | 44 | 48% | 0.87 | 13.7 |
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 31.2771% — 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.
25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.10 | 25% | 18 Aug → | ||
| 0–2 | -0.09 | 0% | 18 Aug → | ||
| 13–11 | 0.00 | 18% | 1 Jul → | ||
| 7–13 | -0.09 | 18% | 1 Jul → | ||
| 11–13 | -0.02 | 19% | 23 Jun → | ||
| 11–13 | -0.05 | 24% | 23 Jun → | ||
| 5–13 | 0.02 | 22% | 9 May → | ||
| 8–13 | -0.02 | 22% | 5 May → | ||
| 13–5 | 0.05 | 32% | 4 May → | ||
| 4–13 | -0.08 | 25% | 4 May → | ||
| 6–13 | -0.02 | 14% | 4 May → | ||
| 8–13 | 0.05 | 16% | 1 May → | ||
| 13–3 | 0.07 | 27% | 30 Apr → | ||
| 13–11 | -0.00 | 27% | 22 Apr → | ||
| 9–13 | -0.00 | 28% | 27 Mar → | ||
| 4–13 | -0.07 | 31% | 27 Mar → | ||
| 9–13 | 0.04 | 23% | 13 Mar → | ||
| 13–9 | 0.06 | 20% | 13 Mar → | ||
| 13–11 | 0.02 | 16% | 13 Mar → | ||
| 9–13 | 0.01 | 20% | 13 Mar → | ||
| 13–10 | 0.03 | 40% | 13 Mar → | ||
| 13–7 | 0.10 | 19% | 13 Mar → | ||
| 13–10 | 0.01 | 27% | 12 Mar → | ||
| 14–16 | -0.06 | 19% | 11 Mar → | ||
| 9–13 | -0.06 | 23% | 11 Mar → | ||
| 13–10 | 0.04 | 38% | 4 Mar → | ||
| 1–13 | -0.07 | 14% | 4 Mar → | ||
| 13–7 | 0.06 | 21% | 3 Mar → | ||
| 13–5 | 0.03 | 36% | 20 Feb → | ||
| 13–11 | 0.15 | 28% | 18 Feb → | ||
| 5–13 | 0.02 | 26% | 18 Feb → | ||
| 3–13 | -0.01 | 15% | 9 Feb → | ||
| 13–8 | 0.03 | 32% | 27 Jan → | ||
| 13–10 | -0.03 | 22% | 20 Jan → | ||
| 10–13 | 0.04 | 29% | 18 Jan → | ||
| 13–7 | 0.08 | 21% | 8 Jan → | ||
| 13–6 | 0.08 | 13% | 31 Dec → | ||
| 13–6 | 0.10 | 24% | 17 Dec → | ||
| 13–9 | 0.04 | 29% | 10 Dec → | ||
| 13–10 | 0.05 | 29% | 9 Dec → | ||
| 6–13 | -0.04 | 23% | 3 Dec → | ||
| 13–7 | -0.01 | 26% | 1 Dec → | ||
| 14–16 | 0.02 | 19% | 25 Nov → | ||
| 16–13 | -0.04 | 20% | 21 Nov → | ||
| 13–10 | -0.01 | 29% | 19 Nov → | ||
| 13–10 | 0.11 | 20% | 14 Nov → | ||
| 7–13 | 0.11 | 25% | 14 Nov → | ||
| 10–1 | 0.08 | 38% | 14 Nov → | ||
| 13–2 | 0.09 | 17% | 14 Nov → | ||
| 13–9 | 0.05 | 30% | 12 Nov → | ||
| 13–9 | -0.04 | 14% | 7 Nov → | ||
| 6–13 | -0.01 | 15% | 5 Nov → | ||
| 13–5 | 0.08 | 30% | 4 Nov → | ||
| 6–13 | -0.05 | 24% | 2 Nov → | ||
| 13–9 | -0.01 | 26% | 31 Oct → | ||
| 6–13 | -0.05 | 13% | 24 Oct → | ||
| 13–5 | -0.03 | 12% | 15 Oct → | ||
| 13–11 | -0.01 | 28% | 10 Oct → | ||
| 7–13 | 0.02 | 14% | 7 Oct → | ||
| 6–13 | -0.01 | 19% | 15 Sept → | ||
| 2–13 | 0.02 | 32% | 13 Sept → | ||
| 13–5 | 0.07 | 29% | 7 Sept → | ||
| 8–13 | -0.02 | 23% | 7 Sept → | ||
| 6–13 | -0.01 | 27% | 6 Sept → | ||
| 11–13 | -0.02 | 27% | 1 Sept → | ||
| 3–13 | -0.02 | 14% | 1 Sept → | ||
| 8–13 | -0.03 | 22% | 27 Aug → | ||
| 13–10 | 0.00 | 32% | 20 Aug → | ||
| 11–13 | -0.06 | 32% | 13 Aug → | ||
| 13–8 | 0.01 | 36% | 6 Aug → | ||
| 2–13 | -0.07 | 14% | 26 Jul → | ||
| 0–4 | -0.07 | 0% | 23 Jul → | ||
| 13–8 | 0.02 | 27% | 19 Jul → | ||
| 6–13 | 0.02 | 33% | 15 Jul → | ||
| 6–13 | -0.02 | 16% | 3 Jul → | ||
| 13–9 | 0.04 | 20% | 3 Jul → | ||
| 12–16 | 0.06 | 15% | 30 Jun → | ||
| 7–13 | -0.05 | 21% | 11 Jun → | ||
| 16–12 | -0.02 | 20% | 9 Jun → | ||
| 10–13 | -0.03 | 23% | 9 Jun → | ||
| 10–13 | -0.01 | 17% | 6 Jun → | ||
| 13–10 | 0.05 | 38% | 6 Jun → | ||
| 8–13 | -0.05 | 12% | 28 May → | ||
| 13–11 | -0.04 | 11% | 25 May → | ||
| 13–7 | 0.02 | 19% | 22 May → | ||
| 13–10 | -0.01 | 30% | 15 May → | ||
| 4–13 | -0.04 | 19% | 15 May → | ||
| 10–13 | -0.01 | 25% | 14 May → | ||
| 13–5 | -0.04 | 14% | 9 May → | ||
| 5–13 | -0.09 | 13% | 7 May → | ||
| 15–15 | -0.01 | 30% | 6 May → | ||
| 13–6 | 0.02 | 13% | 5 May → | ||
| 7–13 | 0.01 | 36% | 5 May → | ||
| 15–15 | 0.04 | 33% | 4 May → | ||
| 11–13 | 0.02 | 29% | 1 May → | ||
| 16–14 | -0.02 | 29% | 28 Apr → | ||
| 12–16 | -0.01 | 18% | 23 Apr → | ||
| 13–9 | 0.01 | 11% | 22 Apr → | ||
| 15–15 | 0.01 | 21% | 21 Apr → | ||
| 5–13 | -0.06 | 23% | 16 Apr → |
Match data via Leetify.