Pixel — CS2 Stats
76561198128861818[U:1:168596090]✓ No bans
Rating over time
Faceit ELO
- At peak — 1,958
- Next: Level 10 at 2,001 — 43 to go
- Reached: Level 9 · Level 8 · Level 7 · Level 6
- Level 9 first seen 2026-08-28
- Level 8 first seen 2026-08-28
Premier CS Rating
- At peak — 20,495
- Next: Red band at 25,000 — 4,505 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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 | 45.7% | 49.0% | 52.0% | 6.3% short |
| Shot accuracy | 18.8% | 13.1% | 13.7% | above |
| Kill/death ratio | 1.11 | 1.08 | 1.08 | above |
| Match win rate | 44.5% | 46.9% | 48.8% | 4.3% short |
This profile matches the typical Level 10 player on 2 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: -10pp win rate · +0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 87 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 600ms 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 7.5/10 (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 |
|---|---|---|---|---|---|
| B | 31 | 14–17 | 45% | 0.05 | |
| A | 28 | 18–10 | 64% | 0.05 | |
| B | 15 | 8–7 | 53% | 0.04 | |
| A | 14 | 8–6 | 57% | 0.05 | |
| D | 9 | 3–6 | 33% | 0.04 | |
| — | 2 | 0–2 | 0% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 57 | 54% | 1.21 | 17.7 |
| Dust2 | 41 | 51% | 1.27 | 18.6 |
| Ancient | 26 | 54% | 1.20 | 15.0 |
| Inferno | 19 | 63% | 1.23 | 16.5 |
| Nuke | 14 | 64% | 1.20 | 18.6 |
| Overpass | 12 | 83% | 1.58 | 17.9 |
| Anubis | 8 | 50% | 1.04 | 16.5 |
| Train | 4 | 75% | 1.90 | 16.5 |
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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.03 | 17% | 29 Aug → | ||
| 13–9 | 0.08 | 26% | 29 Aug → | ||
| 13–11 | 0.06 | 11% | 28 Aug → | ||
| 13–4 | 0.06 | 28% | 28 Aug → | ||
| 8–13 | 0.09 | 22% | 25 Aug → | ||
| 11–13 | 0.05 | 30% | 25 Aug → | ||
| 13–7 | 0.10 | 33% | 25 Aug → | ||
| 6–13 | 0.02 | 30% | 24 Aug → | ||
| 13–16 | 0.08 | 27% | 24 Aug → | ||
| 8–13 | -0.02 | 17% | 24 Aug → | ||
| 13–7 | 0.06 | 35% | 24 Aug → | ||
| 13–8 | 0.01 | 33% | 23 Aug → | ||
| 13–5 | 0.04 | 26% | 23 Aug → | ||
| 8–13 | 0.06 | 37% | 23 Aug → | ||
| 13–3 | 0.24 | 44% | 23 Aug → | ||
| 5–9 | 0.06 | 30% | 23 Aug → | ||
| 3–9 | -0.19 | 35% | 23 Aug → | ||
| 8–13 | 0.08 | 20% | 23 Aug → | ||
| 13–9 | 0.05 | 37% | 23 Aug → | ||
| 12–16 | -0.03 | 15% | 23 Aug → | ||
| 2–13 | -0.06 | 32% | 23 Aug → | ||
| 15–15 | 0.01 | 35% | 22 Aug → | ||
| 13–11 | 0.01 | 22% | 22 Aug → | ||
| 9–0 | 0.13 | 20% | 22 Aug → | ||
| 13–2 | 0.13 | 18% | 18 Aug → | ||
| 13–16 | 0.01 | 33% | 7 Aug → | ||
| 10–13 | 0.05 | 33% | 7 Aug → | ||
| 13–10 | 0.14 | 23% | 6 Aug → | ||
| 13–8 | 0.13 | 29% | 6 Aug → | ||
| 3–13 | -0.02 | 58% | 6 Aug → | ||
| 13–11 | 0.06 | 34% | 4 Aug → | ||
| 13–11 | 0.07 | 28% | 4 Aug → | ||
| 4–13 | 0.02 | 26% | 2 Aug → | ||
| 12–12 | 0.12 | 29% | 2 Aug → | ||
| 13–11 | 0.06 | 32% | 2 Aug → | ||
| 7–13 | -0.04 | 22% | 28 Jul → | ||
| 13–3 | 0.06 | 25% | 28 Jul → | ||
| 5–13 | -0.04 | 24% | 26 Jul → | ||
| 13–4 | 0.08 | 28% | 26 Jul → | ||
| 11–13 | -0.02 | 32% | 26 Jul → | ||
| 6–13 | -0.05 | 17% | 26 Jul → | ||
| 15–15 | 0.07 | 32% | 26 Jul → | ||
| 13–2 | 0.05 | 23% | 26 Jul → | ||
| 13–16 | 0.01 | 19% | 26 Jul → | ||
| 16–13 | 0.07 | 38% | 24 Jul → | ||
| 16–13 | 0.01 | 22% | 22 Jul → | ||
| 13–9 | 0.01 | 28% | 22 Jul → | ||
| 15–15 | 0.03 | 22% | 21 Jul → | ||
| 6–13 | -0.06 | 35% | 21 Jul → | ||
| 13–10 | 0.12 | 23% | 30 Jun → | ||
| 8–13 | 0.10 | 40% | 30 Jun → | ||
| 10–13 | 0.14 | 32% | 28 Jun → | ||
| 0–13 | -0.06 | 5% | 28 Jun → | ||
| 13–9 | 0.01 | 35% | 28 Jun → | ||
| 12–16 | -0.04 | 17% | 28 Jun → | ||
| 13–2 | 0.03 | 30% | 28 Jun → | ||
| 5–13 | 0.07 | 38% | 27 Jun → | ||
| 13–9 | 0.11 | 38% | 27 Jun → | ||
| 13–4 | -0.00 | 53% | 27 Jun → | ||
| 9–13 | -0.00 | 9% | 27 Jun → | ||
| 4–13 | -0.02 | 27% | 27 Jun → | ||
| 2–6 | 0.00 | 30% | 27 Jun → | ||
| 9–13 | -0.01 | 18% | 27 Jun → | ||
| 13–9 | 0.15 | 21% | 27 Jun → | ||
| 13–8 | 0.07 | 27% | 24 Jun → | ||
| 13–7 | 0.09 | 32% | 24 Jun → | ||
| 13–4 | 0.10 | 29% | 24 Jun → | ||
| 11–13 | 0.02 | 27% | 23 Jun → | ||
| 13–11 | 0.07 | 22% | 22 Jun → | ||
| 13–8 | 0.14 | 22% | 22 Jun → | ||
| 9–13 | 0.04 | 21% | 22 Jun → | ||
| 13–2 | 0.07 | 24% | 19 Jun → | ||
| 13–9 | 0.06 | 33% | 19 Jun → | ||
| 13–7 | -0.02 | 38% | 14 May → | ||
| 13–9 | 0.05 | 26% | 14 May → | ||
| 10–13 | 0.08 | 21% | 14 May → | ||
| 2–13 | -0.04 | 47% | 14 May → | ||
| 3–7 | -0.02 | 25% | 14 May → | ||
| 10–13 | 0.05 | 24% | 14 May → | ||
| 8–13 | -0.02 | 38% | 12 May → | ||
| 13–0 | 0.06 | 32% | 12 May → | ||
| 13–4 | 0.06 | 32% | 12 May → | ||
| 7–8 | 0.11 | 27% | 12 May → | ||
| 13–1 | 0.06 | 22% | 12 May → | ||
| 10–1 | 0.09 | 30% | 12 May → | ||
| 13–5 | 0.18 | 39% | 10 May → | ||
| 13–5 | 0.19 | 20% | 10 May → | ||
| 5–13 | 0.06 | 35% | 10 May → | ||
| 13–10 | 0.06 | 28% | 10 May → | ||
| 6–13 | 0.05 | 26% | 10 May → | ||
| 5–13 | -0.11 | 21% | 9 May → | ||
| 13–5 | 0.15 | 10% | 9 May → | ||
| 9–13 | -0.00 | 21% | 9 May → | ||
| 13–10 | 0.02 | 29% | 8 May → | ||
| 13–11 | 0.00 | 25% | 8 May → | ||
| 13–9 | 0.04 | 35% | 3 May → | ||
| 13–10 | 0.05 | 31% | 3 May → | ||
| 11–13 | -0.02 | 30% | 3 May → | ||
| 13–7 | 0.11 | 43% | 1 May → | ||
| 9–13 | -0.02 | 18% | 1 May → |
Match data via Leetify.