wes — CS2 Stats
76561198297946148[U:1:337680420]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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 44.2% | 52.8% | 8.6% short |
| Shot accuracy | 17.8% | 13.7% | above |
| Kill/death ratio | 1.05 | 1.08 | 0.03 short |
| Match win rate | 45.9% | 49.2% | 3.3% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. 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: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashes
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 94% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
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 6.7/10 (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 |
|---|---|---|---|---|---|
| A | 26 | 16–10 | 62% | 0.02 | |
| A | 19 | 11–8 | 58% | 0.02 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| B | 12 | 6–6 | 50% | 0.02 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| S | 9 | 6–3 | 67% | 0.00 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.05 | |
| — | 2 | 2–0 | 100% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (50% over 12). 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 62 | 48% | 1.25 | 17.2 |
| Dust2 | 46 | 39% | 1.09 | 16.2 |
| Ancient | 24 | 62% | 1.04 | 16.6 |
| Inferno | 24 | 54% | 1.19 | 16.0 |
| Anubis | 21 | 52% | 1.11 | 15.9 |
| Nuke | 15 | 60% | 1.01 | 16.1 |
| Cache | 13 | 69% | 1.13 | 17.2 |
| Vertigo | 4 | 25% | 1.19 | 23.0 |
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 38.9269% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.03 | 17% | 28 Aug → | ||
| 13–3 | 0.04 | 24% | 27 Aug → | ||
| 13–10 | 0.01 | 8% | 26 Aug → | ||
| 11–13 | -0.02 | 15% | 26 Aug → | ||
| 13–10 | 0.01 | 29% | 26 Aug → | ||
| 10–13 | -0.08 | 19% | 25 Aug → | ||
| 13–11 | 0.09 | 20% | 25 Aug → | ||
| 13–16 | -0.00 | 17% | 25 Aug → | ||
| 13–6 | -0.05 | 10% | 25 Aug → | ||
| 16–12 | -0.02 | 20% | 24 Aug → | ||
| 16–13 | 0.03 | 16% | 24 Aug → | ||
| 10–13 | 0.04 | 27% | 23 Aug → | ||
| 13–11 | 0.02 | 31% | 23 Aug → | ||
| 7–0 | 0.03 | 24% | 20 Aug → | ||
| 13–6 | -0.03 | 21% | 20 Aug → | ||
| 4–13 | -0.02 | 20% | 20 Aug → | ||
| 24–28 | -0.00 | 14% | 20 Aug → | ||
| 6–13 | -0.04 | 30% | 17 Aug → | ||
| 13–6 | -0.06 | 13% | 16 Aug → | ||
| 13–5 | 0.00 | 14% | 16 Aug → | ||
| 26–28 | -0.03 | 22% | 16 Aug → | ||
| 9–13 | 0.05 | 22% | 15 Aug → | ||
| 13–10 | 0.04 | 30% | 15 Aug → | ||
| 20–22 | 0.05 | 11% | 11 Aug → | ||
| 13–9 | -0.01 | 22% | 8 Aug → | ||
| 14–16 | 0.03 | 14% | 7 Aug → | ||
| 13–11 | 0.03 | 27% | 6 Aug → | ||
| 13–8 | -0.00 | 19% | 4 Aug → | ||
| 13–8 | 0.03 | 24% | 2 Aug → | ||
| 13–9 | 0.10 | 32% | 1 Aug → | ||
| 13–8 | 0.07 | 10% | 1 Aug → | ||
| 13–11 | -0.03 | 21% | 31 Jul → | ||
| 9–13 | -0.04 | 15% | 31 Jul → | ||
| 7–13 | 0.00 | 11% | 26 Jul → | ||
| 9–13 | 0.03 | 17% | 25 Jul → | ||
| 11–13 | 0.03 | 24% | 25 Jul → | ||
| 16–13 | 0.01 | 15% | 24 Jul → | ||
| 13–7 | 0.00 | 37% | 20 Jul → | ||
| 7–13 | -0.02 | 19% | 19 Jul → | ||
| 13–6 | -0.03 | 21% | 19 Jul → | ||
| 16–14 | -0.01 | 19% | 16 Jul → | ||
| 6–13 | 0.01 | 26% | 15 Jul → | ||
| 13–4 | 0.05 | 20% | 15 Jul → | ||
| 13–11 | 0.01 | 26% | 15 Jul → | ||
| 9–13 | 0.01 | 43% | 14 Jul → | ||
| 4–13 | -0.05 | 20% | 11 Jul → | ||
| 13–6 | -0.03 | 12% | 11 Jul → | ||
| 7–13 | -0.05 | 15% | 11 Jul → | ||
| 10–13 | -0.05 | 23% | 11 Jul → | ||
| 9–13 | 0.03 | 15% | 11 Jul → | ||
| 11–13 | 0.06 | 43% | 10 Jul → | ||
| 13–4 | 0.03 | 13% | 10 Jul → | ||
| 13–8 | -0.04 | 20% | 10 Jul → | ||
| 13–11 | 0.03 | 18% | 10 Jul → | ||
| 12–12 | -0.00 | 24% | 16 Jun → | ||
| 12–12 | 0.01 | 12% | 16 Jun → | ||
| 13–11 | -0.01 | 22% | 13 Jun → | ||
| 13–5 | 0.07 | 18% | 13 Jun → | ||
| 13–7 | -0.06 | 17% | 11 Jun → | ||
| 13–8 | 0.01 | 24% | 11 Jun → | ||
| 13–8 | -0.04 | 41% | 6 Jun → | ||
| 13–10 | -0.01 | 21% | 28 May → | ||
| 13–2 | 0.07 | 27% | 28 May → | ||
| 15–19 | 0.01 | 14% | 24 May → | ||
| 12–12 | 0.00 | 14% | 3 Nov → | ||
| 13–7 | 0.08 | 25% | 3 Nov → | ||
| 13–6 | 0.13 | 19% | 3 Nov → | ||
| 13–6 | 0.09 | 24% | 2 Nov → | ||
| 11–13 | 0.06 | 22% | 1 Nov → | ||
| 10–13 | -0.02 | 21% | 1 Nov → | ||
| 13–11 | 0.00 | 21% | 30 Oct → | ||
| 13–8 | 0.07 | 28% | 30 Oct → | ||
| 13–9 | -0.01 | 34% | 9 Aug → | ||
| 13–5 | 0.11 | 25% | 7 Aug → | ||
| 9–13 | 0.07 | 29% | 8 Jul → | ||
| 11–13 | 0.07 | 30% | 8 Jul → | ||
| 9–13 | -0.06 | 22% | 8 Jul → | ||
| 13–2 | -0.00 | 33% | 8 Jul → | ||
| 13–9 | -0.06 | 25% | 8 Jul → | ||
| 3–13 | -0.04 | 27% | 3 Jul → | ||
| 13–1 | -0.01 | 25% | 3 Jul → | ||
| 13–11 | -0.01 | 19% | 1 Jul → | ||
| 13–3 | 0.07 | 54% | 1 Jul → | ||
| 13–5 | 0.08 | 32% | 1 Jul → | ||
| 7–13 | -0.01 | 16% | 1 Jul → | ||
| 2–13 | -0.00 | 48% | 30 Jun → | ||
| 13–10 | 0.04 | 26% | 30 Jun → | ||
| 13–8 | 0.03 | 27% | 30 Jun → | ||
| 10–13 | 0.01 | 26% | 29 Jun → | ||
| 13–5 | 0.05 | 33% | 29 Jun → | ||
| 9–13 | 0.01 | 13% | 25 Jun → | ||
| 9–13 | -0.02 | 34% | 25 Jun → | ||
| 13–9 | 0.06 | 21% | 25 Jun → | ||
| 4–13 | 0.06 | 30% | 25 Jun → | ||
| 13–11 | -0.03 | 21% | 25 Jun → | ||
| 13–7 | 0.11 | 16% | 25 Jun → | ||
| 13–5 | 0.18 | 37% | 25 Jun → | ||
| 13–4 | 0.07 | 21% | 19 Jun → | ||
| 13–9 | -0.01 | 20% | 2 Dec → | ||
| 12–12 | 0.08 | 22% | 2 Dec → |
Match data via Leetify.