cELS0 — CS2 Stats
BR76561199200704600[U:1:1240438872]Steam profile ↗
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 46.7% | 44.2% | 44.9% | above |
| Shot accuracy | 7.3% | 11.2% | 11.8% | 4.5% short |
| Kill/death ratio | 1.07 | 1.04 | 1.04 | above |
| Match win rate | 52.9% | 45.3% | 45.3% | above |
This profile matches the typical Level 6 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 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 · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
High utility contributionReliable in 1v1s
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 iM 91% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Strengths
Utility. Utility score of 76 — grenade impact well above the norm.
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 6.5/10 (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 | 24 | 13–11 | 54% | 0.02 | |
| S | 18 | 13–5 | 72% | 0.04 | |
| B | 17 | 8–9 | 47% | 0.02 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| S | 13 | 9–4 | 69% | 0.06 | |
| A | 9 | 5–4 | 56% | 0.05 | |
| D | 6 | 0–6 | 0% | 0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (0% over 6). 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 60% | 1.62 | 18.8 |
| Dust2 | 4 | 75% | 2.13 | 19.5 |
| Anubis | 2 | 100% | 2.18 | 23.0 |
| Ancient | 1 | 100% | 1.36 | 15.0 |
| Inferno | 1 | 100% | 2.30 | 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.01 | 16% | 29 Aug → | ||
| 13–10 | 0.03 | 13% | 29 Aug → | ||
| 13–8 | -0.05 | 14% | 29 Aug → | ||
| 0–1 | -0.09 | 0% | 29 Aug → | ||
| 11–13 | 0.05 | 20% | 29 Aug → | ||
| 13–7 | 0.06 | 16% | 29 Aug → | ||
| 13–5 | -0.04 | 27% | 29 Aug → | ||
| 7–13 | -0.06 | 13% | 29 Aug → | ||
| 13–3 | 0.06 | 13% | 29 Aug → | ||
| 10–13 | -0.03 | 13% | 29 Aug → | ||
| 14–16 | 0.02 | 21% | 28 Aug → | ||
| 2–13 | -0.07 | 15% | 28 Aug → | ||
| 14–16 | 0.01 | 18% | 28 Aug → | ||
| 10–13 | -0.04 | 24% | 28 Aug → | ||
| 13–11 | 0.06 | 10% | 28 Aug → | ||
| 9–13 | 0.01 | 13% | 28 Aug → | ||
| 13–8 | 0.10 | 30% | 27 Aug → | ||
| 13–10 | 0.09 | 15% | 26 Aug → | ||
| 20–22 | -0.03 | 11% | 26 Aug → | ||
| 19–16 | 0.05 | 18% | 26 Aug → | ||
| 8–13 | -0.03 | 15% | 21 Aug → | ||
| 13–6 | 0.05 | 16% | 21 Aug → | ||
| 13–9 | 0.05 | 21% | 6 Aug → | ||
| 13–9 | 0.08 | 20% | 5 Aug → | ||
| 11–13 | -0.02 | 12% | 5 Aug → | ||
| 6–13 | -0.00 | 18% | 4 Aug → | ||
| 13–11 | 0.10 | 26% | 4 Aug → | ||
| 10–13 | 0.05 | 22% | 4 Aug → | ||
| 13–4 | 0.06 | 25% | 3 Aug → | ||
| 13–5 | 0.08 | 8% | 3 Aug → | ||
| 10–13 | 0.01 | 27% | 3 Aug → | ||
| 10–13 | 0.08 | 31% | 3 Aug → | ||
| 8–13 | 0.08 | 16% | 3 Aug → | ||
| 13–8 | 0.00 | 10% | 1 Aug → | ||
| 13–9 | -0.04 | 8% | 31 Jul → | ||
| 13–11 | 0.04 | 23% | 31 Jul → | ||
| 13–7 | 0.11 | 16% | 31 Jul → | ||
| 12–16 | 0.09 | 21% | 31 Jul → | ||
| 6–13 | -0.01 | 23% | 31 Jul → | ||
| 5–13 | -0.04 | 50% | 31 Jul → | ||
| 13–9 | -0.00 | 20% | 30 Jul → | ||
| 6–13 | 0.01 | 14% | 30 Jul → | ||
| 10–13 | -0.01 | 18% | 30 Jul → | ||
| 3–13 | -0.06 | 12% | 30 Jul → | ||
| 13–8 | 0.10 | 22% | 30 Jul → | ||
| 12–16 | 0.00 | 16% | 30 Jul → | ||
| 7–13 | 0.04 | 25% | 30 Jul → | ||
| 13–6 | -0.00 | 8% | 30 Jul → | ||
| 13–9 | -0.00 | 15% | 30 Jul → | ||
| 13–8 | 0.07 | 14% | 30 Jul → | ||
| 3–13 | -0.07 | 5% | 30 Jul → | ||
| 11–13 | 0.05 | 19% | 29 Jul → | ||
| 13–11 | 0.12 | 21% | 29 Jul → | ||
| 13–4 | 0.15 | 20% | 29 Jul → | ||
| 4–13 | 0.04 | 19% | 29 Jul → | ||
| 10–13 | 0.05 | 16% | 29 Jul → | ||
| 13–4 | 0.13 | 16% | 29 Jul → | ||
| 13–7 | 0.09 | 10% | 29 Jul → | ||
| 11–13 | 0.10 | 25% | 29 Jul → | ||
| 11–13 | 0.04 | 13% | 29 Jul → | ||
| 13–8 | 0.10 | 16% | 29 Jul → | ||
| 10–13 | 0.03 | 21% | 29 Jul → | ||
| 13–9 | 0.05 | 16% | 29 Jul → | ||
| 4–13 | 0.03 | 12% | 29 Jul → | ||
| 25–21 | 0.05 | 19% | 28 Jul → | ||
| 13–4 | 0.10 | 14% | 28 Jul → | ||
| 16–14 | -0.03 | 23% | 28 Jul → | ||
| 13–11 | 0.09 | 33% | 28 Jul → | ||
| 13–3 | 0.00 | 13% | 28 Jul → | ||
| 11–13 | 0.04 | 20% | 28 Jul → | ||
| 13–7 | 0.13 | 13% | 28 Jul → | ||
| 13–7 | 0.07 | 19% | 28 Jul → | ||
| 14–16 | 0.03 | 12% | 28 Jul → | ||
| 13–5 | 0.09 | 20% | 28 Jul → | ||
| 9–13 | 0.06 | 28% | 28 Jul → | ||
| 13–9 | -0.02 | 9% | 28 Jul → | ||
| 13–11 | 0.02 | 22% | 28 Jul → | ||
| 13–10 | 0.05 | 16% | 27 Jul → | ||
| 13–9 | 0.02 | 11% | 27 Jul → | ||
| 13–9 | 0.04 | 19% | 27 Jul → | ||
| 13–7 | -0.03 | 32% | 27 Jul → | ||
| 13–4 | 0.08 | 16% | 27 Jul → | ||
| 3–13 | -0.09 | 9% | 26 Jul → | ||
| 13–2 | -0.02 | 22% | 26 Jul → | ||
| 10–13 | -0.07 | 23% | 26 Jul → | ||
| 14–16 | 0.09 | 23% | 25 Jul → | ||
| 7–13 | -0.10 | 12% | 25 Jul → | ||
| 7–13 | -0.04 | 16% | 25 Jul → | ||
| 13–6 | -0.04 | 21% | 19 Jul → | ||
| 13–6 | 0.03 | 19% | 19 Jul → | ||
| 6–13 | -0.08 | 17% | 19 Jul → | ||
| 10–13 | 0.02 | 15% | 19 Jul → | ||
| 16–13 | 0.05 | 12% | 19 Jul → | ||
| 11–13 | -0.02 | 13% | 16 Jul → | ||
| 10–13 | -0.03 | 27% | 16 Jul → | ||
| 11–13 | 0.08 | 25% | 16 Jul → | ||
| 13–8 | 0.01 | 25% | 16 Jul → | ||
| 13–9 | 0.02 | 17% | 16 Jul → | ||
| 13–7 | 0.04 | 35% | 16 Jul → | ||
| 13–2 | 0.02 | 18% | 16 Jul → |
Match data via Leetify.