sebss — CS2 Stats
76561199168423873[U:1:1208158145]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 64.5% | 49.0% | 52.0% | above |
| Shot accuracy | 16.3% | 13.1% | 13.7% | above |
| Kill/death ratio | 1.15 | 1.08 | 1.08 | above |
| Match win rate | 49.9% | 46.9% | 48.8% | above |
Across every metric we can compare, this profile already matches the typical Level 10 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: -40pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited 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 Twistzz 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 89 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 41 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.
Reaction time. 552ms 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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 32 | 16–16 | 50% | 0.01 | |
| B | 24 | 13–11 | 54% | 0.03 | |
| A | 14 | 8–6 | 57% | 0.03 | |
| B | 10 | 5–5 | 50% | -0.00 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| D | 5 | 1–4 | 20% | 0.02 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| — | 3 | 3–0 | 100% | 0.10 | |
| — | 3 | 0–3 | 0% | -0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 30 | 57% | 1.11 | 14.6 |
| Dust2 | 23 | 74% | 1.53 | 17.3 |
| Ancient | 12 | 58% | 1.23 | 18.1 |
| Inferno | 10 | 70% | 1.14 | 14.1 |
| Nuke | 9 | 33% | 1.50 | 17.4 |
| Cache | 9 | 78% | 1.65 | 18.4 |
| Anubis | 7 | 57% | 1.26 | 14.0 |
| Overpass | 4 | 50% | 1.36 | 19.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4345 — below the 0.5 mark we flag
- 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 37.6638% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.04 | 18% | 19 Aug → | ||
| 6–13 | 0.01 | 22% | 19 Aug → | ||
| 13–8 | 0.00 | 35% | 18 Aug → | ||
| 16–13 | 0.01 | 33% | 16 Aug → | ||
| 13–3 | -0.00 | 30% | 16 Aug → | ||
| 12–16 | 0.00 | 45% | 16 Aug → | ||
| 6–13 | -0.05 | 30% | 7 Aug → | ||
| 8–13 | -0.05 | 36% | 5 Aug → | ||
| 7–13 | 0.01 | 25% | 4 Aug → | ||
| 13–3 | 0.06 | 29% | 2 Aug → | ||
| 13–6 | -0.00 | 27% | 2 Aug → | ||
| 13–5 | 0.02 | 33% | 26 Jul → | ||
| 13–4 | 0.03 | 23% | 26 Jul → | ||
| 13–10 | 0.02 | 22% | 26 Jul → | ||
| 13–4 | -0.03 | 28% | 25 Jul → | ||
| 13–9 | 0.08 | 30% | 17 Jul → | ||
| 13–11 | 0.01 | 19% | 17 Jul → | ||
| 0–4 | 0.01 | 60% | 17 Jul → | ||
| 7–13 | -0.04 | 22% | 17 Jul → | ||
| 13–3 | -0.01 | 31% | 17 Jul → | ||
| 1–3 | -0.00 | 50% | 17 Jul → | ||
| 13–8 | -0.01 | 31% | 16 Jul → | ||
| 5–13 | -0.05 | 21% | 16 Jul → | ||
| 8–13 | 0.03 | 18% | 13 Jul → | ||
| 8–13 | -0.11 | 9% | 12 Jul → | ||
| 13–7 | 0.04 | 27% | 12 Jul → | ||
| 0–13 | -0.04 | 35% | 12 Jul → | ||
| 0–13 | -0.03 | 100% | 12 Jul → | ||
| 11–13 | 0.01 | 27% | 11 Jul → | ||
| 13–10 | 0.00 | 27% | 11 Jul → | ||
| 13–9 | 0.13 | 26% | 9 Jul → | ||
| 13–11 | -0.05 | 19% | 8 Jul → | ||
| 13–9 | 0.02 | 17% | 8 Jul → | ||
| 13–7 | 0.13 | 28% | 5 Jul → | ||
| 8–13 | -0.01 | 30% | 5 Jul → | ||
| 13–7 | -0.05 | 31% | 4 Jul → | ||
| 7–13 | 0.02 | 33% | 4 Jul → | ||
| 13–6 | -0.07 | 42% | 3 Jul → | ||
| 8–13 | 0.00 | 35% | 30 Jun → | ||
| 5–13 | -0.01 | 19% | 28 Jun → | ||
| 13–6 | -0.02 | 41% | 28 Jun → | ||
| 13–9 | -0.04 | 27% | 28 Jun → | ||
| 5–9 | -0.03 | 22% | 27 Jun → | ||
| 8–2 | -0.02 | 18% | 27 Jun → | ||
| 13–2 | 0.13 | 28% | 26 Jun → | ||
| 16–14 | 0.03 | 24% | 25 Jun → | ||
| 7–13 | 0.06 | 26% | 25 Jun → | ||
| 13–4 | 0.06 | 30% | 25 Jun → | ||
| 13–2 | 0.04 | 22% | 24 Jun → | ||
| 10–13 | 0.01 | 25% | 24 Jun → | ||
| 9–13 | -0.00 | 40% | 23 Jun → | ||
| 13–7 | 0.03 | 37% | 22 Jun → | ||
| 7–13 | 0.01 | 33% | 17 Jun → | ||
| 13–6 | 0.09 | 26% | 17 Jun → | ||
| 7–13 | 0.05 | 35% | 17 Jun → | ||
| 13–5 | 0.12 | 30% | 17 Jun → | ||
| 13–11 | 0.10 | 32% | 16 Jun → | ||
| 13–11 | -0.04 | 26% | 16 Jun → | ||
| 13–4 | 0.05 | 23% | 16 Jun → | ||
| 6–13 | -0.05 | 16% | 16 Jun → | ||
| 13–8 | 0.07 | 39% | 16 Jun → | ||
| 13–3 | 0.13 | 29% | 16 Jun → | ||
| 13–7 | 0.05 | 27% | 15 Jun → | ||
| 13–10 | 0.15 | 38% | 15 Jun → | ||
| 13–6 | -0.01 | 36% | 15 Jun → | ||
| 6–13 | 0.03 | 34% | 13 Jun → | ||
| 6–13 | 0.02 | 38% | 7 Mar → | ||
| 7–13 | 0.01 | 30% | 24 Feb → | ||
| 13–11 | 0.06 | 23% | 21 Feb → | ||
| 13–11 | 0.11 | 29% | 31 Aug → | ||
| 0–13 | -0.03 | 24% | 31 Aug → | ||
| 1–13 | -0.03 | 56% | 31 Aug → | ||
| 1–10 | 0.01 | 56% | 24 May → | ||
| 13–4 | 0.08 | 23% | 24 May → | ||
| 13–10 | 0.03 | 22% | 24 May → | ||
| 13–1 | 0.14 | 34% | 23 May → | ||
| 3–13 | -0.07 | 25% | 24 Dec → | ||
| 4–13 | 0.06 | 19% | 12 Jun → | ||
| 12–4 | 0.10 | 28% | 8 Jun → | ||
| 13–8 | 0.13 | 21% | 15 May → | ||
| 10–3 | 0.09 | 24% | 15 May → | ||
| 10–0 | 0.11 | 46% | 3 May → | ||
| 13–8 | 0.06 | 27% | 26 Mar → | ||
| 13–11 | 0.07 | 30% | 24 Mar → | ||
| 13–11 | 0.09 | 33% | 24 Mar → | ||
| 4–13 | -0.09 | 33% | 4 Mar → | ||
| 2–13 | 0.11 | 43% | 22 Dec → | ||
| 5–11 | 0.07 | 26% | 3 Dec → | ||
| 6–9 | -0.03 | 38% | 9 Aug → | ||
| 3–9 | 0.01 | 24% | 19 Jul → | ||
| 8–16 | -0.03 | 14% | 18 Jul → | ||
| 6–16 | -0.03 | 17% | 18 Jul → | ||
| 12–16 | -0.12 | 13% | 18 Jul → | ||
| 13–16 | 0.01 | 18% | 18 Jul → | ||
| 7–16 | -0.04 | 29% | 17 Jul → | ||
| 1–9 | 0.06 | 33% | 17 Jul → | ||
| 3–16 | 0.02 | 30% | 17 Jul → | ||
| 2–9 | -0.19 | 0% | 17 Jul → | ||
| 2–9 | -0.09 | 25% | 13 Jun → | ||
| 9–16 | 0.05 | 18% | 12 Jun → |
Match data via Leetify.