Superman — CS2 Stats
76561199806281245[U:1:1846015517]
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 61.7% | 44.9% | 46.2% | above |
| Shot accuracy | 0.0% | 11.8% | 12.5% | 12.5% short |
| Kill/death ratio | 0.87 | 1.04 | 1.06 | 0.19 short |
| Match win rate | 35.7% | 45.3% | 45.9% | 10.1% short |
This profile matches the typical Level 7 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 7 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 · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 90% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Reaction time. 603ms 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 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| S | 37 | 26–11 | 70% | 0.02 | |
| S | 22 | 18–4 | 82% | 0.05 | |
| A | 19 | 12–7 | 63% | 0.02 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| C | 5 | 2–3 | 40% | 0.04 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis 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 |
|---|---|---|---|---|
| Dust2 | 25 | 60% | 1.00 | 15.8 |
| Inferno | 20 | 50% | 1.05 | 13.6 |
| Ancient | 11 | 45% | 0.87 | 13.3 |
| Mirage | 10 | 60% | 0.96 | 13.5 |
| Anubis | 9 | 78% | 1.17 | 14.9 |
| Overpass | 3 | 67% | 1.02 | 16.3 |
| Nuke | 2 | 0% | 0.87 | 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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 33.4181% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.07 | 25% | 27 Aug → | ||
| 13–7 | 0.03 | 22% | 27 Aug → | ||
| 13–2 | 0.03 | 18% | 27 Aug → | ||
| 13–2 | 0.06 | 42% | 27 Aug → | ||
| 13–9 | 0.09 | 19% | 27 Aug → | ||
| 13–8 | 0.04 | 25% | 25 Aug → | ||
| 13–5 | 0.01 | 28% | 25 Aug → | ||
| 13–3 | 0.12 | 30% | 23 Aug → | ||
| 13–3 | 0.08 | 29% | 23 Aug → | ||
| 13–6 | 0.05 | 28% | 23 Aug → | ||
| 13–8 | 0.09 | 26% | 23 Aug → | ||
| 9–4 | 0.07 | 34% | 23 Aug → | ||
| 13–6 | -0.04 | 24% | 21 Aug → | ||
| 13–3 | 0.26 | 38% | 21 Aug → | ||
| 13–10 | 0.06 | 29% | 21 Aug → | ||
| 13–10 | 0.11 | 36% | 20 Aug → | ||
| 13–7 | 0.06 | 35% | 20 Aug → | ||
| 13–3 | 0.03 | 43% | 20 Aug → | ||
| 7–13 | 0.01 | 15% | 19 Aug → | ||
| 9–13 | 0.01 | 30% | 19 Aug → | ||
| 13–3 | 0.11 | 38% | 19 Aug → | ||
| 7–13 | -0.02 | 28% | 19 Aug → | ||
| 13–9 | -0.02 | 22% | 16 Aug → | ||
| 8–13 | -0.02 | 21% | 16 Aug → | ||
| 13–6 | 0.09 | 32% | 16 Aug → | ||
| 13–11 | 0.04 | 23% | 16 Aug → | ||
| 13–11 | 0.05 | 23% | 15 Aug → | ||
| 13–6 | 0.05 | 42% | 15 Aug → | ||
| 4–13 | 0.01 | 40% | 14 Aug → | ||
| 13–10 | -0.01 | 39% | 14 Aug → | ||
| 13–7 | -0.00 | 27% | 14 Aug → | ||
| 13–3 | 0.08 | 14% | 11 Aug → | ||
| 13–8 | 0.02 | 20% | 11 Aug → | ||
| 13–7 | -0.04 | 29% | 11 Aug → | ||
| 13–6 | -0.01 | 26% | 11 Aug → | ||
| 13–11 | 0.05 | 23% | 11 Aug → | ||
| 4–13 | -0.11 | 30% | 11 Aug → | ||
| 13–4 | 0.09 | 32% | 7 Aug → | ||
| 5–13 | -0.03 | 17% | 5 Aug → | ||
| 13–3 | 0.10 | 31% | 5 Aug → | ||
| 13–11 | 0.03 | 17% | 5 Aug → | ||
| 13–10 | 0.00 | 25% | 22 Jul → | ||
| 13–9 | -0.04 | 25% | 22 Jul → | ||
| 13–9 | 0.06 | 43% | 15 Jul → | ||
| 5–13 | -0.04 | 32% | 15 Jul → | ||
| 8–13 | -0.07 | 30% | 14 Jul → | ||
| 8–13 | -0.00 | 26% | 13 Jul → | ||
| 13–6 | 0.01 | 36% | 13 Jul → | ||
| 14–16 | 0.00 | 27% | 12 Jul → | ||
| 13–9 | 0.08 | 22% | 12 Jul → | ||
| 13–3 | 0.04 | 21% | 12 Jul → | ||
| 13–4 | 0.06 | 19% | 11 Jul → | ||
| 5–13 | -0.06 | 28% | 11 Jul → | ||
| 10–13 | 0.02 | 16% | 10 Jul → | ||
| 13–5 | 0.06 | 30% | 10 Jul → | ||
| 5–2 | 0.06 | 55% | 10 Jul → | ||
| 8–13 | 0.11 | 26% | 10 Jul → | ||
| 3–13 | 0.01 | 19% | 10 Jul → | ||
| 13–10 | 0.01 | 43% | 9 Jul → | ||
| 13–8 | 0.01 | 25% | 9 Jul → | ||
| 13–5 | 0.03 | 28% | 9 Jul → | ||
| 11–13 | 0.00 | 35% | 9 Jul → | ||
| 13–9 | -0.02 | 31% | 9 Jul → | ||
| 12–12 | 0.03 | 43% | 8 Jul → | ||
| 1–13 | -0.01 | 34% | 8 Jul → | ||
| 13–10 | -0.03 | 25% | 8 Jul → | ||
| 13–3 | 0.05 | 26% | 8 Jul → | ||
| 8–13 | 0.01 | 32% | 7 Jul → | ||
| 10–13 | -0.02 | 24% | 7 Jul → | ||
| 13–8 | -0.01 | 24% | 7 Jul → | ||
| 13–5 | -0.03 | 21% | 7 Jul → | ||
| 13–1 | 0.05 | 41% | 7 Jul → | ||
| 13–6 | 0.05 | 23% | 6 Jul → | ||
| 13–6 | 0.02 | 28% | 6 Jul → | ||
| 13–2 | 0.08 | 30% | 6 Jul → | ||
| 13–7 | 0.11 | 43% | 6 Jul → | ||
| 8–13 | -0.00 | 23% | 5 Jul → | ||
| 4–13 | 0.04 | 32% | 5 Jul → | ||
| 13–5 | 0.02 | 26% | 5 Jul → | ||
| 13–10 | 0.04 | 43% | 5 Jul → | ||
| 13–1 | 0.09 | 30% | 4 Jul → | ||
| 2–13 | -0.07 | 60% | 4 Jul → | ||
| 13–9 | 0.11 | 26% | 4 Jul → | ||
| 9–13 | 0.02 | 18% | 3 Jul → | ||
| 5–8 | -0.03 | 25% | 2 Jul → | ||
| 13–10 | 0.03 | 20% | 2 Jul → | ||
| 2–13 | -0.08 | 22% | 2 Jul → | ||
| 13–2 | 0.04 | 11% | 2 Jul → | ||
| 13–4 | 0.16 | 26% | 2 Jul → | ||
| 6–13 | 0.02 | 32% | 1 Jul → | ||
| 13–9 | 0.03 | 26% | 1 Jul → | ||
| 2–13 | -0.03 | 24% | 1 Jul → | ||
| 2–10 | 0.05 | 18% | 1 Jul → | ||
| 13–6 | -0.06 | 18% | 30 Jun → | ||
| 12–12 | 0.02 | 28% | 30 Jun → | ||
| 13–8 | -0.00 | 29% | 30 Jun → | ||
| 13–2 | 0.08 | 20% | 30 Jun → | ||
| 1–5 | -0.06 | 31% | 27 Jun → | ||
| 13–2 | 0.05 | 33% | 27 Jun → | ||
| 1–6 | -0.02 | 50% | 26 Jun → |
Match data via Leetify.