Sean — CS2 Stats
US76561198028796959[U:1:68531231]Steam profile ↗
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 42.9% | 42.5% | 44.2% | 1.3% short |
| Shot accuracy | 16.0% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.11 | 0.99 | 1.04 | above |
| Match win rate | 39.4% | 44.2% | 45.3% | 5.9% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 5 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: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 ropz 88% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; 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
Reaction time. 656ms 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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| D | 24 | 7–17 | 29% | 0.01 | |
| D | 22 | 6–16 | 27% | 0.01 | |
| S | 18 | 12–6 | 67% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| office | — | 3 | 1–2 | 33% | -0.01 |
| — | 2 | 2–0 | 100% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.03 | |
| warden | — | 1 | 0–1 | 0% | -0.05 |
| italy | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Mirage 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 resultsLLLLL
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.3504 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.02 | 23% | 17 May → | ||
| 2–13 | -0.05 | 22% | 16 May → | ||
| 13–10 | 0.01 | 4% | 16 May → | ||
| 7–13 | -0.06 | 12% | 16 May → | ||
| 11–13 | -0.05 | 32% | 19 Apr → | ||
| 3–13 | -0.12 | 30% | 19 Apr → | ||
| 13–5 | 0.07 | 15% | 19 Apr → | ||
| 13–5 | 0.06 | 11% | 19 Apr → | ||
| 7–13 | -0.01 | 26% | 14 Apr → | ||
| 10–13 | 0.04 | 20% | 11 Apr → | ||
| 13–6 | 0.05 | 18% | 11 Apr → | ||
| 7–13 | -0.04 | 20% | 9 Apr → | ||
| office | 13–6 | 0.09 | 20% | 8 Apr → | |
| 12–12 | -0.03 | 20% | 8 Apr → | ||
| 12–12 | 0.11 | 35% | 6 Apr → | ||
| warden | 2–13 | -0.05 | 23% | 6 Apr → | |
| 4–13 | -0.00 | 19% | 5 Apr → | ||
| 6–13 | -0.05 | 33% | 5 Apr → | ||
| 2–13 | -0.04 | 7% | 5 Apr → | ||
| 5–13 | -0.06 | 29% | 31 Mar → | ||
| 6–13 | -0.08 | 12% | 31 Mar → | ||
| 13–11 | -0.04 | 21% | 30 Mar → | ||
| 6–13 | -0.01 | 15% | 29 Mar → | ||
| 16–14 | -0.01 | 16% | 28 Mar → | ||
| 7–13 | 0.01 | 13% | 23 Mar → | ||
| 7–13 | -0.03 | 24% | 23 Mar → | ||
| 11–13 | 0.02 | 12% | 22 Mar → | ||
| office | 6–13 | -0.03 | 19% | 22 Mar → | |
| 13–8 | 0.08 | 17% | 22 Mar → | ||
| 13–2 | 0.08 | 12% | 21 Mar → | ||
| 7–13 | -0.03 | 15% | 21 Mar → | ||
| 15–15 | -0.00 | 17% | 21 Mar → | ||
| 10–13 | -0.00 | 17% | 20 Mar → | ||
| 13–3 | -0.04 | 2% | 20 Mar → | ||
| office | 0–2 | -0.10 | 0% | 20 Mar → | |
| 13–5 | 0.11 | 24% | 19 Mar → | ||
| 9–13 | -0.03 | 10% | 19 Mar → | ||
| 8–13 | -0.05 | 15% | 19 Mar → | ||
| 13–0 | 0.07 | 11% | 17 Mar → | ||
| 8–13 | 0.04 | 23% | 15 Mar → | ||
| 9–13 | -0.00 | 17% | 15 Mar → | ||
| 13–4 | 0.08 | 18% | 15 Mar → | ||
| 13–3 | -0.01 | 12% | 15 Mar → | ||
| 8–13 | -0.01 | 16% | 15 Mar → | ||
| 13–10 | 0.04 | 26% | 15 Mar → | ||
| 11–13 | 0.09 | 15% | 15 Mar → | ||
| 13–8 | 0.04 | 15% | 13 Mar → | ||
| 13–9 | 0.05 | 25% | 13 Mar → | ||
| 7–13 | -0.06 | 14% | 12 Mar → | ||
| 9–13 | 0.01 | 22% | 12 Mar → | ||
| 13–8 | -0.06 | 31% | 11 Mar → | ||
| 13–9 | 0.14 | 32% | 8 Mar → | ||
| 13–5 | 0.17 | 31% | 8 Mar → | ||
| 13–10 | 0.03 | 16% | 8 Mar → | ||
| 13–9 | 0.00 | 30% | 7 Mar → | ||
| 7–13 | 0.08 | 20% | 22 Feb → | ||
| italy | 12–1 | 0.01 | 13% | 22 Feb → | |
| 1–12 | 0.02 | 11% | 22 Feb → | ||
| 10–13 | 0.02 | 26% | 21 Feb → | ||
| 4–13 | 0.03 | 14% | 21 Feb → | ||
| 13–9 | 0.02 | 25% | 21 Feb → | ||
| 13–5 | 0.11 | 34% | 21 Feb → | ||
| 13–9 | -0.06 | 12% | 21 Feb → | ||
| 13–8 | 0.07 | 18% | 19 Feb → | ||
| 13–9 | -0.03 | 18% | 18 Feb → | ||
| 13–11 | -0.06 | 12% | 18 Feb → | ||
| 15–15 | -0.03 | 12% | 15 Feb → | ||
| 15–15 | 0.00 | 16% | 15 Feb → | ||
| 13–8 | 0.08 | 19% | 15 Feb → | ||
| 7–13 | 0.03 | 12% | 15 Feb → | ||
| 2–13 | -0.06 | 37% | 15 Feb → | ||
| 13–9 | -0.04 | 16% | 14 Feb → | ||
| 8–13 | -0.00 | 16% | 14 Feb → | ||
| 15–15 | -0.03 | 21% | 14 Feb → | ||
| 7–13 | 0.03 | 20% | 14 Feb → | ||
| 13–6 | 0.06 | 17% | 14 Feb → | ||
| 9–13 | -0.02 | 35% | 14 Feb → | ||
| 13–8 | 0.03 | 15% | 14 Feb → | ||
| 15–15 | 0.01 | 14% | 14 Feb → | ||
| 13–10 | 0.06 | 26% | 12 Feb → | ||
| 9–13 | -0.00 | 14% | 12 Feb → | ||
| 3–13 | 0.03 | 22% | 12 Feb → | ||
| 3–13 | -0.00 | 26% | 12 Feb → | ||
| 11–13 | 0.01 | 12% | 12 Feb → | ||
| 13–0 | 0.05 | 24% | 11 Feb → | ||
| 9–13 | 0.16 | 22% | 9 Feb → | ||
| 13–11 | 0.06 | 17% | 9 Feb → | ||
| 10–13 | -0.03 | 20% | 9 Feb → | ||
| 13–10 | 0.02 | 22% | 8 Feb → | ||
| 13–2 | 0.10 | 24% | 8 Feb → | ||
| 13–3 | -0.01 | 18% | 8 Feb → | ||
| 13–6 | -0.03 | 7% | 8 Feb → | ||
| 7–13 | -0.00 | 15% | 8 Feb → | ||
| 1–13 | -0.04 | 14% | 8 Feb → | ||
| 13–0 | -0.05 | 3% | 8 Feb → | ||
| 13–10 | 0.05 | 23% | 7 Feb → | ||
| 10–13 | -0.05 | 8% | 7 Feb → | ||
| 13–7 | 0.02 | 21% | 7 Feb → | ||
| 7–13 | 0.02 | 20% | 7 Feb → | ||
| 6–13 | 0.06 | 16% | 7 Feb → |
Match data via Leetify.