Clonelime — CS2 Stats
76561198841302981[U:1:881037253]
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 | 36.3% | 42.5% | 44.2% | 7.9% short |
| Shot accuracy | 0.0% | 10.9% | 11.2% | 11.2% short |
| Kill/death ratio | 0.99 | 0.99 | 1.04 | 0.05 short |
| Match win rate | 42.2% | 44.2% | 45.3% | 3.1% 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: -40pp 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 81% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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. 610ms 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 4.2/10 (Developing), 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 | 16 | 8–8 | 50% | -0.01 |
 dust2 | D | 15 | 5–10 | 33% | -0.01 |
 mirage | C | 13 | 5–8 | 38% | 0.00 |
 anubis | C | 12 | 5–7 | 42% | -0.00 |
 ancient | S | 12 | 8–4 | 67% | -0.01 |
 inferno | D | 10 | 2–8 | 20% | -0.03 |
 cache | C | 8 | 3–5 | 38% | -0.02 |
 train | — | 3 | 2–1 | 67% | 0.06 |
 vertigo | — | 3 | 2–1 | 67% | 0.07 |
| office | — | 3 | 1–2 | 33% | 0.05 |
 overpass | — | 2 | 1–1 | 50% | -0.03 |
| eldorado | — | 1 | 1–0 | 100% | 0.12 |
| boulder | — | 1 | 1–0 | 100% | -0.03 |
| italy | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 10). 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 15 | 80% | 1.36 | 15.1 |
| Dust2 | 7 | 43% | 0.97 | 14.3 |
| Ancient | 5 | 60% | 1.19 | 12.0 |
| Nuke | 3 | 0% | 0.70 | 11.7 |
| Cache | 3 | 67% | 0.73 | 10.0 |
| Inferno | 2 | 50% | 1.34 | 19.5 |
| Train | 1 | 100% | 3.75 | 15.0 |
| Anubis | 1 | 0% | 0.43 | 9.0 |
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 13.2321° — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 7–13 | -0.02 | 19% | 21 Aug → | |
| dust2 | 10–13 | 0.05 | 17% | 21 Aug → | |
| mirage | 14–16 | -0.03 | 10% | 20 Aug → | |
| mirage | 9–13 | -0.01 | 18% | 19 Aug → | |
| nuke | 8–13 | -0.02 | 5% | 19 Aug → | |
| anubis | 13–4 | 0.05 | 9% | 19 Aug → | |
| mirage | 9–13 | 0.01 | 16% | 19 Aug → | |
| ancient | 13–10 | 0.04 | 13% | 19 Aug → | |
| nuke | 8–8 | -0.09 | 5% | 19 Aug → | |
| mirage | 13–10 | 0.04 | 14% | 18 Aug → | |
| train | 13–6 | 0.15 | 19% | 18 Aug → | |
| nuke | 13–10 | 0.04 | 13% | 14 Aug → | |
| mirage | 13–11 | 0.00 | 12% | 11 Aug → | |
| anubis | 5–13 | -0.05 | 19% | 11 Aug → | |
| anubis | 13–3 | 0.01 | 11% | 11 Aug → | |
| nuke | 15–15 | -0.09 | 5% | 10 Aug → | |
| ancient | 6–13 | -0.00 | 16% | 10 Aug → | |
| cache | 13–10 | -0.01 | 23% | 9 Aug → | |
| ancient | 13–8 | 0.02 | 18% | 4 Aug → | |
| dust2 | 13–8 | -0.06 | 12% | 4 Aug → | |
| cache | 10–13 | -0.02 | 23% | 4 Aug → | |
| ancient | 6–13 | -0.06 | 11% | 4 Aug → | |
| ancient | 13–5 | 0.07 | 12% | 4 Aug → | |
| vertigo | 13–4 | 0.07 | 6% | 29 Jul → | |
| anubis | 16–12 | 0.01 | 11% | 28 Jul → | |
| cache | 13–4 | -0.01 | 3% | 28 Jul → | |
| dust2 | 13–16 | -0.01 | 23% | 28 Jul → | |
| eldorado | 9–4 | 0.12 | 13% | 28 Jul → | |
| dust2 | 14–16 | 0.03 | 22% | 26 Jul → | |
| anubis | 13–5 | 0.02 | 12% | 26 Jul → | |
| nuke | 9–13 | -0.02 | 33% | 25 Jul → | |
| dust2 | 13–5 | -0.01 | 22% | 22 Jul → | |
| mirage | 4–13 | -0.05 | 14% | 22 Jul → | |
| nuke | 10–13 | -0.08 | 25% | 18 Jul → | |
| anubis | 10–13 | -0.03 | 14% | 17 Jul → | |
| nuke | 13–11 | -0.01 | 19% | 17 Jul → | |
| anubis | 10–13 | -0.00 | 11% | 16 Jul → | |
| dust2 | 11–3 | -0.01 | 18% | 14 Jul → | |
| dust2 | 4–13 | -0.02 | 17% | 12 Jul → | |
| dust2 | 6–13 | -0.08 | 16% | 12 Jul → | |
| cache | 13–16 | -0.08 | 8% | 12 Jul → | |
| nuke | 7–13 | -0.04 | 10% | 12 Jul → | |
| inferno | 13–8 | -0.06 | 14% | 12 Jul → | |
| boulder | 13–4 | -0.03 | 36% | 9 Jul → | |
| office | 9–13 | 0.00 | 17% | 9 Jul → | |
| cache | 11–13 | -0.05 | 12% | 8 Jul → | |
| cache | 8–3 | 0.01 | 15% | 8 Jul → | |
| dust2 | 12–12 | -0.01 | 7% | 8 Jul → | |
| office | 13–6 | 0.08 | 50% | 8 Jul → | |
| ancient | 12–12 | -0.02 | 16% | 7 Jul → | |
| overpass | 13–5 | 0.00 | 22% | 7 Jul → | |
| dust2 | 9–13 | -0.03 | 11% | 4 Jul → | |
| ancient | 13–7 | -0.01 | 26% | 4 Jul → | |
| cache | 12–12 | -0.02 | 4% | 2 Jul → | |
| inferno | 1–13 | -0.11 | 6% | 1 Jul → | |
| inferno | 11–13 | -0.03 | 15% | 1 Jul → | |
| nuke | 13–8 | 0.03 | 18% | 1 Jul → | |
| cache | 12–12 | 0.01 | 18% | 1 Jul → | |
| ancient | 13–8 | -0.07 | 0% | 30 Jun → | |
| dust2 | 2–13 | 0.01 | 8% | 30 Jun → | |
| mirage | 7–13 | -0.02 | 15% | 30 Jun → | |
| inferno | 10–13 | -0.00 | 13% | 29 Jun → | |
| ancient | 13–11 | -0.02 | 7% | 26 Jun → | |
| nuke | 13–9 | -0.02 | 11% | 26 Jun → | |
| mirage | 13–6 | 0.00 | 11% | 26 Jun → | |
| mirage | 13–2 | 0.09 | 11% | 25 Jun → | |
| ancient | 13–5 | -0.01 | 15% | 25 Jun → | |
| anubis | 9–13 | -0.05 | 16% | 24 Jun → | |
| inferno | 7–13 | -0.00 | 11% | 24 Jun → | |
| dust2 | 8–13 | -0.07 | 17% | 24 Jun → | |
| inferno | 15–15 | -0.02 | 11% | 21 Jun → | |
| inferno | 13–4 | 0.02 | 12% | 21 Jun → | |
| anubis | 10–13 | 0.02 | 13% | 21 Jun → | |
| train | 13–1 | 0.04 | 18% | 19 Jun → | |
| train | 9–13 | -0.02 | 20% | 17 Jun → | |
| overpass | 5–13 | -0.06 | 8% | 17 Jun → | |
| nuke | 13–11 | 0.06 | 11% | 17 Jun → | |
| inferno | 8–13 | -0.03 | 24% | 16 Jun → | |
| nuke | 11–13 | -0.05 | 6% | 15 Jun → | |
| anubis | 13–6 | 0.03 | 10% | 15 Jun → | |
| inferno | 1–9 | -0.09 | 16% | 15 Jun → | |
| mirage | 6–13 | -0.03 | 8% | 14 Jun → | |
| dust2 | 13–9 | 0.03 | 11% | 14 Jun → | |
| mirage | 13–8 | 0.07 | 25% | 13 Jun → | |
| nuke | 13–4 | 0.09 | 21% | 13 Jun → | |
| dust2 | 14–16 | 0.05 | 18% | 11 Jun → | |
| anubis | 9–13 | -0.03 | 15% | 7 Jun → | |
| nuke | 13–6 | 0.04 | 33% | 7 Jun → | |
| anubis | 6–13 | -0.02 | 9% | 5 Jun → | |
| nuke | 13–8 | 0.05 | 15% | 3 Jun → | |
| ancient | 6–13 | -0.06 | 12% | 3 Jun → | |
| ancient | 11–6 | 0.05 | 17% | 3 Jun → | |
| vertigo | 5–13 | 0.05 | 16% | 3 Jun → | |
| vertigo | 13–6 | 0.10 | 7% | 3 Jun → | |
| mirage | 6–13 | 0.03 | 16% | 2 Jun → | |
| nuke | 10–13 | 0.03 | 10% | 1 Jun → | |
| office | 10–13 | 0.06 | 33% | 1 Jun → | |
| dust2 | 13–9 | 0.06 | 11% | 1 Jun → | |
| italy | 12–12 | -0.01 | 28% | 1 Jun → | |
| mirage | 11–13 | -0.05 | 20% | 29 May → |
Match data via Leetify.