moss — CS2 Stats
US76561198056233769[U:1:95968041]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 25.4% | 42.5% | 44.2% | 18.8% short |
| Shot accuracy | 16.6% | 10.9% | 11.2% | above |
| Kill/death ratio | 0.96 | 0.99 | 1.04 | 0.08 short |
| Match win rate | 32.6% | 44.2% | 45.3% | 12.7% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 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 · +0.00 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerReliable 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 NiKo 78% playstyle similarity
Most alike: opening-fight frequency, 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 43% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 700ms 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 5.2/10 (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 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 |
|---|---|---|---|---|---|
 mirage | B | 26 | 12–14 | 46% | -0.03 |
 inferno | C | 17 | 7–10 | 41% | -0.01 |
 overpass | B | 13 | 6–7 | 46% | -0.00 |
 dust2 | B | 12 | 6–6 | 50% | -0.02 |
 ancient | B | 12 | 6–6 | 50% | -0.02 |
 train | A | 9 | 5–4 | 56% | 0.00 |
 nuke | S | 6 | 6–0 | 100% | -0.01 |
 anubis | — | 3 | 2–1 | 67% | 0.01 |
 cache | — | 1 | 0–1 | 0% | -0.01 |
 vertigo | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (41% over 17). 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 4 | 50% | 0.93 | 13.8 |
| Inferno | 3 | 67% | 1.28 | 13.7 |
| Mirage | 2 | 0% | 0.90 | 15.0 |
| Anubis | 2 | 100% | 1.78 | 16.0 |
| Ancient | 2 | 50% | 1.04 | 17.0 |
| Cache | 1 | 0% | 1.37 | 26.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4682° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| overpass | 11–13 | -0.06 | 4% | 28 May → | |
| cache | 11–13 | -0.01 | 22% | 6 May → | |
| dust2 | 9–13 | -0.01 | 33% | 27 Apr → | |
| nuke | 13–9 | 0.06 | 37% | 27 Apr → | |
| anubis | 13–0 | 0.04 | 25% | 27 Apr → | |
| inferno | 8–13 | -0.10 | 25% | 27 Apr → | |
| dust2 | 13–9 | -0.06 | 17% | 25 Apr → | |
| inferno | 9–13 | -0.05 | 28% | 23 Apr → | |
| mirage | 15–15 | -0.02 | 18% | 31 Dec → | |
| mirage | 13–11 | -0.06 | 14% | 9 Oct → | |
| inferno | 10–13 | -0.07 | 14% | 9 Oct → | |
| mirage | 4–13 | -0.09 | 25% | 8 Oct → | |
| nuke | 13–7 | -0.02 | 22% | 8 Oct → | |
| overpass | 13–7 | 0.00 | 20% | 8 Oct → | |
| train | 16–12 | -0.03 | 21% | 8 Oct → | |
| dust2 | 13–5 | -0.02 | 39% | 7 Oct → | |
| train | 10–13 | 0.01 | 13% | 7 Oct → | |
| mirage | 13–6 | -0.06 | 13% | 7 Oct → | |
| overpass | 16–14 | -0.01 | 15% | 2 Oct → | |
| nuke | 13–7 | -0.02 | 32% | 2 Oct → | |
| mirage | 11–13 | -0.05 | 39% | 2 Oct → | |
| nuke | 13–10 | -0.04 | 33% | 2 Oct → | |
| mirage | 11–13 | -0.05 | 21% | 2 Oct → | |
| overpass | 9–13 | -0.01 | 22% | 1 Oct → | |
| mirage | 7–13 | -0.01 | 25% | 1 Oct → | |
| ancient | 13–11 | 0.04 | 23% | 1 Oct → | |
| inferno | 13–9 | -0.02 | 33% | 1 Oct → | |
| nuke | 13–10 | -0.01 | 34% | 30 Sept → | |
| overpass | 10–13 | -0.00 | 54% | 30 Sept → | |
| train | 13–10 | 0.05 | 21% | 30 Sept → | |
| mirage | 13–7 | -0.02 | 45% | 30 Sept → | |
| ancient | 8–13 | -0.00 | 23% | 30 Sept → | |
| dust2 | 1–13 | -0.01 | 27% | 21 Aug → | |
| ancient | 10–13 | 0.07 | 35% | 21 Aug → | |
| train | 13–2 | 0.03 | 19% | 21 Aug → | |
| mirage | 13–6 | -0.03 | 27% | 21 Aug → | |
| overpass | 13–9 | -0.04 | 26% | 21 Aug → | |
| dust2 | 2–13 | -0.05 | 23% | 21 Aug → | |
| dust2 | 5–13 | -0.05 | 33% | 15 Aug → | |
| inferno | 13–9 | 0.02 | 43% | 15 Aug → | |
| overpass | 13–9 | 0.05 | 28% | 15 Aug → | |
| overpass | 8–13 | -0.07 | 21% | 14 Aug → | |
| inferno | 11–13 | -0.03 | 15% | 14 Aug → | |
| inferno | 9–2 | -0.04 | 11% | 14 Aug → | |
| mirage | 16–13 | -0.04 | 10% | 10 Aug → | |
| inferno | 5–13 | -0.05 | 31% | 10 Aug → | |
| mirage | 10–13 | -0.04 | 18% | 8 Aug → | |
| ancient | 3–13 | -0.04 | 22% | 8 Aug → | |
| train | 8–13 | -0.08 | 7% | 7 Aug → | |
| overpass | 7–13 | -0.03 | 36% | 7 Aug → | |
| dust2 | 13–9 | 0.08 | 19% | 7 Aug → | |
| mirage | 13–11 | -0.07 | 17% | 7 Aug → | |
| mirage | 13–10 | -0.01 | 35% | 7 Aug → | |
| train | 10–13 | -0.06 | 24% | 7 Aug → | |
| dust2 | 13–9 | -0.01 | 30% | 7 Aug → | |
| inferno | 13–8 | -0.00 | 26% | 6 Aug → | |
| mirage | 13–11 | -0.03 | 19% | 6 Aug → | |
| ancient | 13–7 | -0.03 | 11% | 6 Aug → | |
| train | 11–13 | 0.04 | 19% | 6 Aug → | |
| mirage | 7–13 | -0.00 | 30% | 6 Aug → | |
| mirage | 7–13 | -0.09 | 12% | 5 Aug → | |
| inferno | 13–7 | -0.07 | 8% | 5 Aug → | |
| overpass | 13–7 | -0.00 | 14% | 5 Aug → | |
| ancient | 13–11 | -0.08 | 4% | 4 Aug → | |
| mirage | 13–6 | -0.01 | 16% | 4 Aug → | |
| dust2 | 8–13 | -0.04 | 17% | 4 Aug → | |
| mirage | 13–3 | 0.05 | 28% | 4 Aug → | |
| ancient | 11–13 | -0.07 | 23% | 4 Aug → | |
| mirage | 14–16 | -0.04 | 15% | 4 Aug → | |
| overpass | 8–13 | -0.00 | 7% | 4 Aug → | |
| nuke | 13–4 | -0.00 | 33% | 31 Jul → | |
| inferno | 15–15 | -0.07 | 9% | 31 Jul → | |
| train | 13–7 | 0.03 | 22% | 31 Jul → | |
| overpass | 13–10 | 0.09 | 24% | 31 Jul → | |
| inferno | 13–3 | -0.00 | 28% | 31 Jul → | |
| inferno | 13–10 | 0.03 | 36% | 29 Jul → | |
| dust2 | 13–11 | 0.01 | 17% | 28 Jul → | |
| overpass | 14–16 | 0.02 | 37% | 28 Jul → | |
| inferno | 11–13 | 0.04 | 28% | 28 Jul → | |
| inferno | 7–13 | 0.11 | 30% | 26 Jul → | |
| mirage | 6–13 | -0.05 | 17% | 26 Jul → | |
| train | 16–14 | 0.03 | 14% | 26 Jul → | |
| inferno | 15–15 | 0.04 | 19% | 26 Jul → | |
| mirage | 10–13 | -0.02 | 11% | 25 Jul → | |
| anubis | 10–13 | -0.08 | 12% | 9 Jul → | |
| mirage | 13–8 | 0.01 | 22% | 9 Jul → | |
| dust2 | 13–11 | -0.00 | 17% | 5 Jul → | |
| ancient | 13–6 | 0.06 | 20% | 5 Jul → | |
| mirage | 8–13 | -0.03 | 26% | 5 Jul → | |
| vertigo | 13–7 | -0.04 | 9% | 5 Jul → | |
| ancient | 6–13 | -0.08 | 9% | 5 Jul → | |
| ancient | 8–13 | -0.05 | 11% | 3 Jul → | |
| anubis | 13–7 | 0.07 | 6% | 3 Jul → | |
| dust2 | 4–13 | -0.05 | 11% | 3 Jul → | |
| ancient | 13–8 | -0.03 | 20% | 3 Jul → | |
| mirage | 7–13 | 0.02 | 16% | 3 Jul → | |
| inferno | 11–13 | 0.03 | 11% | 3 Jul → | |
| mirage | 1–13 | -0.07 | 31% | 3 Jul → | |
| ancient | 16–14 | 0.02 | 16% | 3 Jul → | |
| mirage | 13–8 | -0.04 | 17% | 3 Jul → |
Match data via Leetify.
