Neffeleptic — CS2 Stats
76561198041620162[U:1:81354434]
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 | 39.7% | 42.5% | 44.2% | 4.5% short |
| Shot accuracy | 6.3% | 10.9% | 11.2% | 4.9% short |
| Kill/death ratio | 0.76 | 0.99 | 1.04 | 0.27 short |
| Match win rate | 41.3% | 44.2% | 45.3% | 4.0% short |
This profile sits below the typical Level 5 player on every metric we can compare.
Widest gap: Shot accuracy. 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: -10pp win rate · -0.00 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 75% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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. 690ms 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 3.9/10 (Learning), 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 |
|---|---|---|---|---|---|
 nuke | C | 22 | 9–13 | 41% | -0.03 |
 ancient | B | 21 | 10–11 | 48% | -0.02 |
 dust2 | D | 14 | 4–10 | 29% | -0.02 |
 mirage | S | 12 | 8–4 | 67% | -0.00 |
 anubis | S | 9 | 6–3 | 67% | -0.02 |
 train | A | 7 | 4–3 | 57% | -0.00 |
| office | — | 4 | 3–1 | 75% | -0.00 |
 inferno | — | 4 | 0–4 | 0% | -0.00 |
 vertigo | — | 4 | 3–1 | 75% | -0.04 |
| agency | — | 1 | 0–1 | 0% | -0.02 |
 overpass | — | 1 | 1–0 | 100% | -0.02 |
| grail | — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 5 | 60% | 0.76 | 12.2 |
| Mirage | 5 | 40% | 0.90 | 14.2 |
| Inferno | 4 | 75% | 1.06 | 16.8 |
| Dust2 | 3 | 33% | 0.61 | 7.7 |
| Anubis | 2 | 50% | 0.58 | 5.5 |
| Nuke | 2 | 50% | 0.60 | 18.5 |
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 12.1364° — above the 12° mark we flag
- 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 9.7025% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–10 | -0.04 | 9% | 30 Nov → | |
| dust2 | 3–13 | -0.08 | 20% | 30 Nov → | |
| ancient | 12–12 | -0.04 | 13% | 29 Nov → | |
| ancient | 13–7 | 0.06 | 11% | 29 Nov → | |
| dust2 | 13–3 | 0.02 | 11% | 29 Nov → | |
| mirage | 0–8 | -0.13 | 0% | 29 Nov → | |
| nuke | 8–13 | -0.11 | 3% | 29 Nov → | |
| dust2 | 13–4 | -0.03 | 17% | 29 Nov → | |
| office | 13–11 | 0.07 | 15% | 29 Nov → | |
| office | 3–13 | -0.08 | 3% | 29 Nov → | |
| office | 13–3 | -0.01 | 0% | 29 Nov → | |
| inferno | 1–13 | -0.05 | 0% | 29 Nov → | |
| vertigo | 13–10 | 0.01 | 7% | 29 Nov → | |
| dust2 | 1–13 | -0.10 | 33% | 1 Nov → | |
| agency | 8–13 | -0.02 | 11% | 10 Aug → | |
| overpass | 13–0 | -0.02 | 11% | 10 Aug → | |
| vertigo | 13–6 | -0.06 | 8% | 10 Aug → | |
| train | 7–13 | -0.03 | 4% | 21 Jul → | |
| nuke | 13–11 | -0.06 | 10% | 21 Jul → | |
| train | 13–9 | -0.01 | 13% | 20 Jul → | |
| nuke | 3–13 | -0.09 | 13% | 20 Jul → | |
| grail | 7–13 | -0.08 | 13% | 9 May → | |
| mirage | 16–14 | -0.01 | 14% | 16 Apr → | |
| nuke | 11–13 | -0.05 | 6% | 6 Apr → | |
| dust2 | 8–13 | -0.01 | 9% | 6 Apr → | |
| ancient | 13–7 | -0.01 | 7% | 6 Apr → | |
| nuke | 6–13 | -0.02 | 7% | 6 Apr → | |
| nuke | 1–13 | -0.04 | 6% | 6 Apr → | |
| ancient | 11–13 | -0.02 | 9% | 6 Apr → | |
| train | 13–11 | 0.02 | 5% | 6 Apr → | |
| dust2 | 11–13 | 0.02 | 12% | 6 Apr → | |
| train | 13–9 | 0.02 | 11% | 6 Apr → | |
| nuke | 16–14 | 0.06 | 13% | 6 Apr → | |
| mirage | 13–3 | -0.02 | 4% | 5 Apr → | |
| train | 13–8 | 0.07 | 13% | 5 Apr → | |
| ancient | 13–16 | -0.05 | 8% | 5 Apr → | |
| ancient | 8–13 | -0.07 | 12% | 5 Apr → | |
| ancient | 15–15 | -0.03 | 9% | 5 Apr → | |
| nuke | 10–13 | -0.01 | 13% | 5 Apr → | |
| anubis | 8–13 | -0.03 | 11% | 5 Apr → | |
| train | 15–15 | -0.03 | 7% | 4 Apr → | |
| mirage | 11–13 | -0.04 | 7% | 20 Mar → | |
| nuke | 5–13 | -0.10 | 6% | 20 Mar → | |
| nuke | 13–11 | -0.02 | 8% | 12 Mar → | |
| mirage | 13–9 | -0.04 | 4% | 11 Mar → | |
| ancient | 15–15 | -0.05 | 1% | 11 Mar → | |
| anubis | 13–6 | -0.03 | 13% | 10 Mar → | |
| nuke | 13–11 | -0.04 | 20% | 10 Mar → | |
| anubis | 13–4 | 0.00 | 19% | 9 Mar → | |
| nuke | 8–13 | 0.06 | 4% | 8 Mar → | |
| ancient | 9–13 | -0.01 | 12% | 8 Mar → | |
| anubis | 13–11 | 0.02 | 11% | 7 Mar → | |
| inferno | 12–16 | -0.04 | 15% | 7 Mar → | |
| nuke | 11–13 | -0.05 | 8% | 3 Mar → | |
| nuke | 13–9 | -0.04 | 21% | 2 Mar → | |
| mirage | 13–9 | -0.05 | 6% | 2 Mar → | |
| mirage | 9–13 | 0.14 | 9% | 1 Mar → | |
| ancient | 9–13 | -0.06 | 6% | 1 Mar → | |
| mirage | 13–1 | 0.14 | 7% | 1 Mar → | |
| nuke | 13–9 | 0.03 | 11% | 1 Mar → | |
| dust2 | 13–7 | 0.04 | 15% | 1 Mar → | |
| vertigo | 13–7 | -0.05 | 13% | 28 Feb → | |
| ancient | 13–5 | -0.01 | 7% | 28 Feb → | |
| anubis | 3–13 | -0.06 | 26% | 28 Feb → | |
| anubis | 13–7 | 0.06 | 10% | 28 Feb → | |
| anubis | 11–13 | -0.03 | 26% | 28 Feb → | |
| dust2 | 7–13 | -0.03 | 0% | 27 Feb → | |
| mirage | 13–4 | 0.04 | 2% | 27 Feb → | |
| office | 13–5 | 0.01 | 9% | 24 Feb → | |
| vertigo | 10–13 | -0.07 | 13% | 24 Feb → | |
| nuke | 8–3 | -0.08 | 7% | 24 Feb → | |
| dust2 | 10–13 | -0.02 | 24% | 24 Feb → | |
| ancient | 13–10 | -0.00 | 6% | 24 Feb → | |
| train | 12–16 | -0.05 | 5% | 23 Feb → | |
| ancient | 13–4 | 0.00 | 8% | 23 Feb → | |
| nuke | 13–3 | 0.04 | 16% | 23 Feb → | |
| nuke | 10–13 | -0.05 | 6% | 23 Feb → | |
| anubis | 13–7 | -0.06 | 5% | 23 Feb → | |
| nuke | 10–13 | -0.01 | 12% | 23 Feb → | |
| nuke | 13–8 | -0.11 | 9% | 23 Feb → | |
| ancient | 15–15 | -0.06 | 3% | 22 Feb → | |
| mirage | 13–7 | 0.01 | 11% | 22 Feb → | |
| mirage | 5–13 | -0.08 | 5% | 22 Feb → | |
| inferno | 9–13 | 0.07 | 11% | 22 Feb → | |
| dust2 | 7–13 | 0.00 | 9% | 22 Feb → | |
| ancient | 13–5 | -0.04 | 4% | 21 Feb → | |
| dust2 | 9–13 | -0.04 | 18% | 21 Feb → | |
| nuke | 9–13 | -0.04 | 9% | 20 Feb → | |
| ancient | 6–13 | -0.02 | 13% | 20 Feb → | |
| ancient | 13–6 | -0.04 | 26% | 16 Feb → | |
| ancient | 14–16 | -0.03 | 3% | 15 Feb → | |
| anubis | 13–6 | -0.03 | 6% | 15 Feb → | |
| dust2 | 13–5 | 0.02 | 15% | 15 Feb → | |
| ancient | 13–4 | -0.03 | 13% | 15 Feb → | |
| ancient | 16–14 | 0.04 | 9% | 15 Feb → | |
| dust2 | 7–13 | -0.02 | 14% | 14 Feb → | |
| nuke | 8–13 | -0.06 | 15% | 14 Feb → | |
| dust2 | 11–13 | -0.07 | 7% | 13 Feb → | |
| inferno | 6–13 | 0.01 | 9% | 13 Feb → | |
| mirage | 13–10 | -0.01 | 15% | 13 Feb → |
Match data via Leetify.
