Big/Fat — CS2 Stats
US76561198089865023[U:1:129599295]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 1 among CSDB-tracked players (n=388), 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 1 median | Level 2 median | vs Level 2 |
|---|---|---|---|---|
| Headshot rate | 48.7% | 41.6% | 40.9% | above |
| Shot accuracy | 19.0% | 14.1% | 12.5% | above |
| Kill/death ratio | 1.28 | 0.97 | 0.95 | above |
| Match win rate | 36.4% | 42.2% | 42.4% | 6.0% short |
This profile matches the typical Level 2 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 2 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: -30pp win rate · -0.01 avg rating
Player DNA
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 NiKo 65% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-fight frequency; lower aim 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
Areas to improve
Reaction time. 712ms 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 4.0/10 (Developing), 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 58 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 |
|---|---|---|---|---|---|
 dust2 | D | 16 | 5–11 | 31% | -0.01 |
 inferno | D | 16 | 5–11 | 31% | -0.04 |
 mirage | C | 10 | 4–6 | 40% | -0.02 |
 overpass | S | 5 | 4–1 | 80% | -0.01 |
 cache | A | 5 | 3–2 | 60% | -0.02 |
 ancient | — | 3 | 2–1 | 67% | -0.02 |
 nuke | — | 1 | 0–1 | 0% | -0.07 |
 vertigo | — | 1 | 1–0 | 100% | -0.07 |
| climb | — | 1 | 1–0 | 100% | 0.07 |
Across the last 58 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1 | 0% | 0.47 | 8.0 |
| Anubis | 1 | 0% | 0.65 | 15.0 |
| Ancient | 1 | 0% | 0.42 | 8.0 |
| Vertigo | 1 | 0% | 0.33 | 5.0 |
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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 712.0053ms — above the 700ms 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 16.8728% — 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.
31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 0–5 | -0.07 | 8% | 8 Apr → | |
| dust2 | 6–13 | -0.04 | 28% | 11 Feb → | |
| dust2 | 9–13 | 0.01 | 14% | 2 Feb → | |
| mirage | 3–13 | -0.02 | 18% | 2 Feb → | |
| inferno | 4–13 | -0.10 | 5% | 28 Jan → | |
| dust2 | 8–13 | -0.07 | 14% | 28 Jan → | |
| ancient | 16–14 | 0.01 | 18% | 25 Jan → | |
| inferno | 13–8 | 0.01 | 36% | 24 Jan → | |
| overpass | 13–3 | -0.07 | 21% | 24 Jan → | |
| mirage | 10–13 | -0.07 | 8% | 24 Jan → | |
| inferno | 6–13 | -0.11 | 13% | 21 Apr → | |
| ancient | 5–13 | -0.12 | 4% | 21 Apr → | |
| ancient | 13–6 | 0.06 | 17% | 9 Apr → | |
| overpass | 9–13 | -0.03 | 11% | 6 Apr → | |
| mirage | 7–13 | -0.07 | 9% | 6 Apr → | |
| overpass | 13–9 | -0.02 | 15% | 3 Apr → | |
| mirage | 13–6 | 0.03 | 16% | 3 Apr → | |
| inferno | 13–6 | 0.04 | 12% | 3 Apr → | |
| inferno | 13–8 | -0.05 | 19% | 1 Apr → | |
| vertigo | 13–5 | -0.07 | 3% | 1 Apr → | |
| mirage | 3–13 | -0.08 | 31% | 1 Apr → | |
| inferno | 12–12 | -0.06 | 6% | 23 Mar → | |
| dust2 | 13–5 | 0.03 | 16% | 23 Mar → | |
| inferno | 9–13 | 0.02 | 17% | 23 Mar → | |
| dust2 | 6–9 | 0.00 | 18% | 20 Apr → | |
| mirage | 4–9 | -0.01 | 35% | 20 Apr → | |
| climb | 9–3 | 0.07 | 13% | 16 Apr → | |
| overpass | 13–0 | 0.06 | 14% | 14 Apr → | |
| inferno | 10–16 | -0.06 | 11% | 11 Apr → | |
| inferno | 6–16 | -0.08 | 14% | 6 Apr → | |
| dust2 | 9–5 | 0.03 | 10% | 6 Apr → | |
| inferno | 0–6 | -0.14 | 27% | 5 Apr → | |
| inferno | 11–16 | -0.04 | 13% | 4 Apr → | |
| dust2 | 1–16 | -0.06 | 20% | 3 Apr → | |
| inferno | 0–9 | -0.07 | 8% | 21 Mar → | |
| cache | 1–9 | -0.08 | 29% | 11 Mar → | |
| mirage | 9–7 | 0.04 | 12% | 2 Mar → | |
| overpass | 9–7 | -0.01 | 17% | 29 Jan → | |
| inferno | 5–9 | -0.05 | 12% | 13 Jan → | |
| dust2 | 5–9 | -0.04 | 0% | 13 Jan → | |
| mirage | 9–1 | -0.02 | 20% | 8 Jan → | |
| cache | 9–4 | -0.06 | 5% | 8 Jan → | |
| cache | 9–3 | 0.10 | 6% | 3 Jan → | |
| cache | 9–7 | -0.01 | 24% | 26 Dec → | |
| cache | 5–9 | -0.05 | 20% | 5 Dec → | |
| mirage | 8–8 | 0.04 | 9% | 5 Dec → | |
| mirage | 9–7 | -0.01 | 13% | 5 Dec → | |
| dust2 | 6–9 | 0.08 | 24% | 5 Dec → | |
| inferno | 9–3 | 0.02 | 9% | 5 Dec → | |
| dust2 | 6–9 | -0.02 | 27% | 5 Dec → | |
| dust2 | 5–9 | -0.02 | 25% | 4 Dec → | |
| dust2 | 9–2 | 0.02 | 59% | 4 Dec → | |
| dust2 | 2–16 | -0.09 | 38% | 13 Oct → | |
| dust2 | 1–16 | -0.05 | 17% | 13 Oct → | |
| inferno | 16–14 | -0.04 | 6% | 30 Sept → | |
| dust2 | 16–7 | -0.02 | 28% | 25 Sept → | |
| inferno | 13–16 | 0.00 | 9% | 2 Jul → | |
| dust2 | 16–7 | 0.00 | 19% | 21 May → |
Match data via Leetify.
