nematoad — CS2 Stats
PL76561199083137851[U:1:1122872123]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 38.7% | 42.1% | 42.5% | 3.7% short |
| Shot accuracy | 12.2% | 12.1% | 10.9% | above |
| Kill/death ratio | 1.28 | 0.99 | 0.99 | above |
| Match win rate | 46.1% | 43.9% | 44.2% | above |
This profile matches the typical Level 4 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 4 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 · -0.01 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 78% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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. 669ms 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 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 nuke | B | 25 | 12–13 | 48% | -0.03 |
 inferno | B | 17 | 8–9 | 47% | -0.03 |
 dust2 | S | 10 | 8–2 | 80% | -0.02 |
 ancient | S | 9 | 6–3 | 67% | -0.03 |
 vertigo | C | 8 | 3–5 | 38% | 0.01 |
 anubis | S | 7 | 5–2 | 71% | -0.02 |
 overpass | S | 6 | 4–2 | 67% | -0.02 |
 cache | C | 5 | 2–3 | 40% | -0.01 |
| office | A | 5 | 3–2 | 60% | 0.00 |
 mirage | D | 5 | 0–5 | 0% | -0.06 |
 train | — | 2 | 1–1 | 50% | -0.02 |
| shelter | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 30 | 60% | 0.95 | 14.6 |
| Anubis | 21 | 62% | 0.97 | 13.6 |
| Nuke | 17 | 47% | 0.80 | 12.9 |
| Mirage | 15 | 47% | 0.76 | 12.7 |
| Dust2 | 9 | 56% | 0.77 | 13.8 |
| Inferno | 8 | 0% | 0.84 | 16.4 |
| Ancient | 3 | 0% | 0.80 | 14.0 |
| Overpass | 1 | 0% | 0.43 | 6.0 |
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 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.5984% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.397 — below the 0.5 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 30.6896% — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–8 | 0.00 | 18% | 27 Aug → | |
| dust2 | 13–5 | -0.04 | 5% | 27 Aug → | |
| anubis | 13–10 | -0.00 | 8% | 25 Aug → | |
| office | 13–6 | 0.01 | 9% | 25 Aug → | |
| cache | 8–13 | -0.03 | 10% | 22 Aug → | |
| cache | 1–7 | -0.04 | 13% | 22 Aug → | |
| dust2 | 13–6 | -0.08 | 18% | 21 Aug → | |
| nuke | 4–13 | -0.07 | 13% | 21 Aug → | |
| office | 4–13 | -0.04 | 0% | 21 Aug → | |
| dust2 | 13–1 | -0.01 | 6% | 21 Aug → | |
| cache | 9–13 | -0.02 | 7% | 21 Aug → | |
| nuke | 9–13 | -0.01 | 6% | 20 Aug → | |
| nuke | 7–13 | -0.02 | 4% | 19 Aug → | |
| cache | 13–2 | 0.07 | 14% | 19 Aug → | |
| shelter | 1–5 | -0.06 | 0% | 19 Aug → | |
| inferno | 9–13 | -0.09 | 6% | 24 Apr → | |
| inferno | 13–6 | -0.09 | 11% | 24 Apr → | |
| nuke | 15–15 | 0.02 | 7% | 24 Apr → | |
| ancient | 13–7 | -0.05 | 10% | 24 Apr → | |
| office | 13–11 | 0.01 | 19% | 23 Apr → | |
| vertigo | 12–12 | 0.01 | 30% | 21 Apr → | |
| dust2 | 13–5 | -0.02 | 13% | 15 Apr → | |
| ancient | 8–13 | -0.03 | 9% | 13 Apr → | |
| overpass | 6–13 | -0.07 | 21% | 13 Apr → | |
| mirage | 1–13 | -0.12 | 13% | 13 Apr → | |
| nuke | 11–13 | -0.03 | 17% | 11 Apr → | |
| nuke | 11–13 | -0.07 | 9% | 8 Apr → | |
| inferno | 11–13 | -0.08 | 15% | 8 Apr → | |
| nuke | 13–7 | -0.05 | 6% | 8 Apr → | |
| train | 7–13 | -0.05 | 18% | 31 Mar → | |
| vertigo | 13–7 | 0.11 | 19% | 31 Mar → | |
| nuke | 8–13 | -0.01 | 11% | 29 Mar → | |
| ancient | 13–11 | -0.04 | 8% | 29 Mar → | |
| vertigo | 13–10 | 0.04 | 14% | 29 Mar → | |
| nuke | 13–9 | -0.05 | 9% | 27 Mar → | |
| vertigo | 8–13 | 0.09 | 18% | 27 Mar → | |
| nuke | 13–9 | -0.06 | 7% | 26 Mar → | |
| office | 13–5 | 0.04 | 0% | 25 Mar → | |
| dust2 | 13–10 | 0.04 | 11% | 25 Mar → | |
| nuke | 13–7 | -0.03 | 21% | 25 Mar → | |
| inferno | 13–4 | 0.01 | 18% | 25 Mar → | |
| nuke | 13–7 | 0.01 | 10% | 24 Mar → | |
| mirage | 11–13 | -0.05 | 12% | 24 Mar → | |
| anubis | 13–9 | -0.01 | 13% | 24 Mar → | |
| dust2 | 13–9 | 0.02 | 16% | 23 Mar → | |
| nuke | 5–13 | -0.05 | 24% | 23 Mar → | |
| inferno | 5–13 | -0.06 | 20% | 23 Mar → | |
| dust2 | 13–4 | 0.01 | 29% | 22 Mar → | |
| ancient | 4–13 | -0.07 | 17% | 22 Mar → | |
| ancient | 13–8 | 0.02 | 23% | 22 Mar → | |
| nuke | 7–13 | 0.01 | 14% | 18 Mar → | |
| nuke | 13–11 | 0.05 | 16% | 18 Mar → | |
| mirage | 0–11 | -0.06 | 11% | 17 Mar → | |
| inferno | 9–13 | -0.06 | 7% | 17 Mar → | |
| overpass | 4–13 | -0.02 | 14% | 17 Mar → | |
| ancient | 13–9 | -0.01 | 17% | 17 Mar → | |
| ancient | 4–13 | -0.08 | 21% | 16 Mar → | |
| dust2 | 13–11 | -0.03 | 12% | 16 Mar → | |
| ancient | 13–6 | -0.05 | 9% | 16 Mar → | |
| anubis | 6–13 | -0.04 | 8% | 16 Mar → | |
| nuke | 10–1 | -0.04 | 14% | 16 Mar → | |
| anubis | 13–9 | 0.00 | 16% | 16 Mar → | |
| ancient | 13–7 | 0.03 | 13% | 16 Mar → | |
| overpass | 13–8 | -0.03 | 16% | 16 Mar → | |
| nuke | 5–13 | -0.08 | 12% | 16 Mar → | |
| nuke | 13–1 | 0.01 | 14% | 15 Mar → | |
| vertigo | 5–13 | -0.08 | 11% | 15 Mar → | |
| nuke | 11–13 | -0.09 | 15% | 14 Mar → | |
| inferno | 13–0 | 0.02 | 24% | 14 Mar → | |
| nuke | 13–2 | -0.01 | 18% | 14 Mar → | |
| vertigo | 10–13 | -0.08 | 13% | 14 Mar → | |
| anubis | 5–13 | -0.08 | 13% | 14 Mar → | |
| inferno | 8–13 | -0.02 | 15% | 14 Mar → | |
| nuke | 10–13 | -0.02 | 11% | 14 Mar → | |
| inferno | 13–8 | 0.02 | 20% | 14 Mar → | |
| overpass | 13–6 | -0.01 | 21% | 14 Mar → | |
| inferno | 6–9 | -0.00 | 9% | 12 Mar → | |
| anubis | 13–4 | 0.06 | 25% | 11 Mar → | |
| inferno | 13–7 | 0.01 | 20% | 11 Mar → | |
| nuke | 13–2 | -0.05 | 7% | 11 Mar → | |
| mirage | 14–16 | -0.05 | 18% | 10 Mar → | |
| dust2 | 5–13 | -0.09 | 5% | 10 Mar → | |
| overpass | 13–3 | 0.05 | 8% | 10 Mar → | |
| inferno | 13–4 | -0.09 | 28% | 10 Mar → | |
| overpass | 16–14 | -0.01 | 11% | 7 Mar → | |
| inferno | 8–8 | -0.11 | 17% | 7 Mar → | |
| nuke | 9–5 | 0.01 | 15% | 7 Mar → | |
| inferno | 9–13 | -0.04 | 14% | 3 Mar → | |
| vertigo | 13–2 | -0.00 | 4% | 18 Feb → | |
| inferno | 13–5 | 0.05 | 18% | 18 Feb → | |
| vertigo | 8–13 | -0.04 | 20% | 18 Feb → | |
| inferno | 12–12 | -0.02 | 13% | 18 Feb → | |
| office | 9–13 | 0.01 | 6% | 16 Feb → | |
| nuke | 10–13 | -0.02 | 19% | 16 Feb → | |
| train | 13–10 | 0.01 | 17% | 16 Feb → | |
| mirage | 6–13 | -0.03 | 12% | 16 Feb → | |
| dust2 | 9–13 | -0.01 | 26% | 16 Feb → | |
| inferno | 13–3 | -0.04 | 11% | 13 Feb → | |
| nuke | 13–8 | -0.05 | 16% | 13 Feb → | |
| anubis | 13–2 | -0.03 | 22% | 13 Feb → |
Match data via Leetify.