seanh — CS2 Stats
TC76561198188564258[U:1:228298530]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 49.1% | 47.0% | 48.5% | meets |
| Shot accuracy | 16.9% | 12.7% | 13.3% | above |
| Kill/death ratio | 1.09 | 1.07 | 1.07 | meets |
| Match win rate | 54.3% | 46.4% | 47.0% | above |
Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.02 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 ZywOo 93% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; 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
Areas to improve
T-side openings. Opening success drops from 58% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 554ms 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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 27 | 16–11 | 59% | 0.03 | |
| B | 20 | 9–11 | 45% | 0.02 | |
| B | 17 | 9–8 | 53% | 0.02 | |
| B | 17 | 9–8 | 53% | 0.03 | |
| S | 8 | 6–2 | 75% | 0.03 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.10 | |
| — | 1 | 1–0 | 100% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.11 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (43% over 7). 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 33% | 0.82 | 11.7 |
| Ancient | 1 | 0% | 0.68 | 13.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.02 | 11% | 28 Aug → | ||
| 13–9 | 0.03 | 15% | 27 Aug → | ||
| 13–4 | 0.20 | 17% | 27 Aug → | ||
| 16–14 | 0.00 | 20% | 26 Aug → | ||
| 9–13 | 0.05 | 30% | 26 Aug → | ||
| 13–7 | 0.05 | 29% | 26 Aug → | ||
| 13–10 | -0.03 | 14% | 24 Aug → | ||
| 5–13 | -0.00 | 36% | 24 Aug → | ||
| 10–13 | -0.02 | 23% | 24 Aug → | ||
| 13–11 | 0.04 | 19% | 21 Aug → | ||
| 13–9 | -0.07 | 9% | 21 Aug → | ||
| 13–4 | -0.02 | 26% | 20 Aug → | ||
| 15–15 | 0.05 | 15% | 19 Aug → | ||
| 6–13 | 0.05 | 26% | 19 Aug → | ||
| 8–13 | -0.02 | 19% | 13 Aug → | ||
| 10–13 | -0.01 | 18% | 12 Aug → | ||
| 13–6 | -0.02 | 10% | 12 Aug → | ||
| 13–6 | 0.07 | 18% | 7 Aug → | ||
| 13–8 | 0.09 | 23% | 7 Aug → | ||
| 10–13 | 0.06 | 21% | 6 Aug → | ||
| 13–9 | 0.01 | 14% | 4 Aug → | ||
| 13–1 | 0.07 | 30% | 4 Aug → | ||
| 13–11 | 0.05 | 13% | 4 Aug → | ||
| 8–13 | -0.02 | 18% | 3 Aug → | ||
| 4–13 | 0.03 | 17% | 3 Aug → | ||
| 13–10 | 0.09 | 9% | 1 Aug → | ||
| 11–13 | 0.01 | 5% | 30 Jul → | ||
| 13–8 | 0.07 | 22% | 29 Jul → | ||
| 1–13 | -0.07 | 15% | 29 Jul → | ||
| 13–7 | 0.04 | 26% | 29 Jul → | ||
| 13–6 | 0.13 | 18% | 29 Jul → | ||
| 7–13 | -0.00 | 14% | 28 Jul → | ||
| 12–12 | 0.05 | 33% | 28 Jul → | ||
| 13–5 | 0.06 | 37% | 28 Jul → | ||
| 13–9 | 0.07 | 25% | 27 Jul → | ||
| 13–9 | 0.04 | 29% | 27 Jul → | ||
| 13–7 | 0.15 | 21% | 24 Jul → | ||
| 1–13 | -0.11 | 8% | 24 Jul → | ||
| 11–13 | 0.06 | 34% | 24 Jul → | ||
| 2–13 | -0.07 | 38% | 23 Jul → | ||
| 13–6 | 0.14 | 14% | 22 Jul → | ||
| 10–13 | 0.02 | 22% | 22 Jul → | ||
| 13–8 | 0.07 | 35% | 22 Jul → | ||
| 8–13 | -0.00 | 10% | 21 Jul → | ||
| 11–13 | 0.06 | 25% | 16 Jul → | ||
| 13–8 | 0.07 | 33% | 16 Jul → | ||
| 13–8 | 0.03 | 17% | 1 Jul → | ||
| 5–13 | -0.02 | 15% | 1 Jul → | ||
| 4–13 | -0.05 | 23% | 10 May → | ||
| 13–1 | 0.05 | 28% | 10 May → | ||
| 11–13 | -0.02 | 28% | 10 May → | ||
| 13–7 | 0.02 | 30% | 10 May → | ||
| 8–13 | -0.00 | 17% | 9 May → | ||
| 10–13 | -0.03 | 25% | 9 Apr → | ||
| 8–13 | -0.07 | 19% | 28 Mar → | ||
| 9–13 | 0.03 | 18% | 28 Mar → | ||
| 0–8 | 0.03 | 50% | 22 Mar → | ||
| 13–9 | 0.04 | 23% | 22 Mar → | ||
| 11–13 | -0.05 | 22% | 21 Mar → | ||
| 13–11 | 0.01 | 36% | 21 Mar → | ||
| 9–13 | -0.06 | 12% | 21 Mar → | ||
| 10–13 | 0.04 | 22% | 20 Mar → | ||
| 13–4 | 0.09 | 15% | 20 Mar → | ||
| 13–11 | -0.01 | 23% | 15 Oct → | ||
| 13–9 | -0.01 | 19% | 15 Oct → | ||
| 13–11 | 0.10 | 9% | 15 Oct → | ||
| 9–13 | 0.05 | 28% | 14 Oct → | ||
| 1–3 | 0.01 | 0% | 14 Oct → | ||
| 13–7 | 0.07 | 17% | 14 Oct → | ||
| 10–13 | -0.02 | 13% | 14 Oct → | ||
| 13–5 | 0.00 | 14% | 14 Oct → | ||
| 13–8 | 0.02 | 21% | 1 Oct → | ||
| 9–13 | -0.05 | 16% | 1 Oct → | ||
| 3–13 | 0.05 | 20% | 1 Oct → | ||
| 13–9 | 0.11 | 21% | 1 Oct → | ||
| 13–11 | 0.05 | 22% | 1 Oct → | ||
| 5–0 | -0.02 | 29% | 30 Sept → | ||
| 13–4 | 0.03 | 14% | 30 Sept → | ||
| 5–10 | -0.03 | 24% | 29 Sept → | ||
| 13–10 | -0.04 | 10% | 28 Sept → | ||
| 13–5 | 0.06 | 21% | 28 Sept → | ||
| 13–3 | 0.04 | 20% | 28 Sept → | ||
| 7–13 | -0.04 | 20% | 28 Sept → | ||
| 13–6 | 0.06 | 34% | 22 Apr → | ||
| 12–12 | 0.05 | 32% | 21 Apr → | ||
| 13–1 | 0.15 | 21% | 21 Apr → | ||
| 9–13 | -0.03 | 11% | 26 Mar → | ||
| 13–16 | 0.05 | 20% | 20 Feb → | ||
| 16–14 | 0.03 | 19% | 18 Feb → | ||
| 6–13 | 0.03 | 24% | 8 Dec → | ||
| 11–13 | 0.11 | 17% | 6 Dec → | ||
| 13–5 | 0.05 | 16% | 6 Dec → | ||
| 13–3 | 0.09 | 22% | 15 Nov → | ||
| 0–7 | -0.03 | 29% | 15 Nov → | ||
| 13–8 | 0.11 | 23% | 15 Nov → | ||
| 13–10 | 0.01 | 19% | 25 Oct → | ||
| 13–7 | 0.05 | 25% | 15 Oct → | ||
| 12–12 | -0.03 | 15% | 9 Aug → | ||
| 13–4 | 0.06 | 23% | 7 Aug → | ||
| 13–11 | 0.07 | 20% | 1 Aug → |
Match data via Leetify.