K1ple — CS2 Stats
76561199378988147[U:1:1418722419]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 50.6% | 52.8% | 2.1% short |
| Shot accuracy | 7.1% | 13.7% | 6.6% short |
| Kill/death ratio | 1.24 | 1.08 | above |
| Match win rate | 49.1% | 49.2% | meets |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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 · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited utility dependence
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 ropz 84% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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 57% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 552ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.8/10 (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 |
|---|---|---|---|---|---|
 cache | B | 22 | 11–11 | 50% | 0.04 |
 mirage | D | 18 | 5–13 | 28% | 0.02 |
 inferno | A | 15 | 9–6 | 60% | 0.02 |
 dust2 | B | 14 | 7–7 | 50% | 0.00 |
 anubis | A | 11 | 6–5 | 55% | 0.03 |
 ancient | C | 10 | 4–6 | 40% | 0.03 |
 nuke | — | 4 | 2–2 | 50% | 0.02 |
 overpass | — | 2 | 1–1 | 50% | 0.05 |
 train | — | 2 | 2–0 | 100% | 0.07 |
 vertigo | — | 1 | 0–1 | 0% | -0.02 |
| office | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (28% over 18). 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 135 | 50% | 1.19 | 18.2 |
| Dust2 | 103 | 47% | 1.11 | 16.7 |
| Ancient | 85 | 41% | 1.19 | 17.3 |
| Inferno | 81 | 52% | 1.19 | 17.9 |
| Anubis | 58 | 50% | 1.13 | 17.0 |
| Cache | 37 | 54% | 1.25 | 17.8 |
| Nuke | 19 | 68% | 1.14 | 16.7 |
| Overpass | 9 | 56% | 1.10 | 18.6 |
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.
- 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 0.2534 — 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 32.6735% — 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.
28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–3 | 0.07 | 27% | 23 Aug → | |
| ancient | 13–7 | 0.03 | 21% | 15 Aug → | |
| dust2 | 14–16 | -0.06 | 10% | 14 Aug → | |
| ancient | 13–5 | 0.09 | 14% | 10 Aug → | |
| dust2 | 10–13 | -0.01 | 15% | 7 Aug → | |
| nuke | 13–11 | -0.00 | 17% | 6 Aug → | |
| inferno | 13–7 | 0.03 | 20% | 6 Aug → | |
| anubis | 7–13 | -0.01 | 6% | 6 Aug → | |
| dust2 | 8–13 | 0.01 | 23% | 6 Aug → | |
| mirage | 12–16 | 0.03 | 23% | 4 Aug → | |
| ancient | 10–13 | 0.00 | 25% | 2 Aug → | |
| ancient | 11–13 | 0.02 | 27% | 1 Aug → | |
| mirage | 13–5 | -0.01 | 19% | 1 Aug → | |
| inferno | 7–13 | 0.01 | 27% | 1 Aug → | |
| cache | 9–13 | 0.02 | 13% | 28 Jul → | |
| dust2 | 13–3 | -0.01 | 18% | 27 Jul → | |
| cache | 9–13 | 0.01 | 25% | 26 Jul → | |
| nuke | 5–13 | -0.04 | 18% | 26 Jul → | |
| inferno | 13–9 | 0.02 | 23% | 25 Jul → | |
| cache | 16–13 | -0.06 | 14% | 25 Jul → | |
| mirage | 5–13 | 0.04 | 24% | 20 Jul → | |
| anubis | 6–13 | -0.04 | 9% | 19 Jul → | |
| inferno | 13–7 | -0.02 | 27% | 19 Jul → | |
| inferno | 7–13 | -0.04 | 23% | 19 Jul → | |
| mirage | 8–13 | 0.05 | 28% | 19 Jul → | |
| ancient | 7–13 | -0.01 | 22% | 19 Jul → | |
| inferno | 13–10 | 0.10 | 31% | 18 Jul → | |
| cache | 13–4 | 0.03 | 29% | 18 Jul → | |
| mirage | 2–13 | -0.05 | 27% | 14 Jul → | |
| anubis | 13–9 | 0.01 | 27% | 12 Jul → | |
| cache | 14–16 | 0.04 | 22% | 11 Jul → | |
| cache | 11–13 | 0.04 | 20% | 10 Jul → | |
| nuke | 9–13 | 0.03 | 28% | 8 Jul → | |
| mirage | 13–7 | 0.04 | 21% | 7 Jul → | |
| anubis | 13–10 | 0.04 | 15% | 5 Jul → | |
| ancient | 8–13 | -0.05 | 8% | 5 Jul → | |
| mirage | 4–13 | 0.01 | 33% | 4 Jul → | |
| anubis | 13–11 | 0.04 | 25% | 4 Jul → | |
| anubis | 16–12 | -0.00 | 8% | 4 Jul → | |
| cache | 8–13 | -0.04 | 29% | 2 Jul → | |
| anubis | 12–16 | 0.01 | 9% | 2 Jul → | |
| dust2 | 3–13 | 0.04 | 19% | 1 Jul → | |
| dust2 | 6–13 | -0.05 | 27% | 30 Jun → | |
| mirage | 11–13 | 0.02 | 19% | 28 Jun → | |
| inferno | 13–8 | 0.05 | 28% | 28 Jun → | |
| mirage | 16–19 | -0.03 | 21% | 28 Jun → | |
| mirage | 9–13 | 0.03 | 12% | 27 Jun → | |
| dust2 | 13–9 | 0.09 | 31% | 11 Jun → | |
| vertigo | 5–13 | -0.02 | 28% | 9 Jun → | |
| overpass | 11–13 | -0.03 | 20% | 7 Jun → | |
| anubis | 13–6 | 0.17 | 12% | 7 Jun → | |
| mirage | 13–9 | 0.03 | 16% | 7 Jun → | |
| ancient | 8–13 | -0.05 | 17% | 3 Jun → | |
| dust2 | 13–5 | 0.06 | 23% | 2 Jun → | |
| cache | 13–5 | 0.08 | 34% | 31 May → | |
| mirage | 13–5 | 0.12 | 21% | 31 May → | |
| anubis | 5–13 | 0.06 | 23% | 30 May → | |
| dust2 | 13–11 | 0.00 | 14% | 30 May → | |
| mirage | 16–13 | 0.06 | 16% | 30 May → | |
| mirage | 14–16 | 0.01 | 13% | 30 May → | |
| dust2 | 13–11 | 0.03 | 11% | 28 May → | |
| inferno | 19–16 | 0.03 | 20% | 24 May → | |
| mirage | 6–13 | 0.02 | 16% | 24 May → | |
| cache | 13–2 | 0.18 | 29% | 17 May → | |
| office | 4–13 | -0.06 | 39% | 15 May → | |
| nuke | 13–11 | 0.08 | 20% | 14 May → | |
| cache | 7–13 | 0.02 | 9% | 11 May → | |
| cache | 1–13 | -0.01 | 21% | 10 May → | |
| cache | 12–12 | 0.08 | 19% | 10 May → | |
| cache | 5–13 | 0.12 | 20% | 10 May → | |
| cache | 13–7 | 0.05 | 15% | 10 May → | |
| cache | 13–10 | 0.14 | 19% | 9 May → | |
| cache | 13–8 | 0.03 | 27% | 9 May → | |
| cache | 13–7 | 0.01 | 14% | 9 May → | |
| dust2 | 13–9 | 0.04 | 15% | 9 May → | |
| train | 13–9 | 0.15 | 23% | 9 May → | |
| cache | 13–1 | 0.22 | 48% | 9 May → | |
| cache | 13–7 | 0.09 | 23% | 6 May → | |
| cache | 5–13 | -0.01 | 14% | 6 May → | |
| inferno | 3–9 | -0.17 | 17% | 6 May → | |
| cache | 7–13 | -0.08 | 23% | 5 May → | |
| inferno | 6–9 | 0.06 | 12% | 4 May → | |
| cache | 13–3 | 0.01 | 28% | 30 Apr → | |
| train | 13–5 | -0.02 | 12% | 26 Apr → | |
| mirage | 6–13 | -0.01 | 7% | 23 Apr → | |
| dust2 | 11–13 | -0.03 | 9% | 22 Apr → | |
| mirage | 9–13 | -0.00 | 16% | 11 Apr → | |
| anubis | 6–13 | -0.03 | 27% | 7 Apr → | |
| anubis | 13–9 | 0.09 | 18% | 5 Apr → | |
| overpass | 13–8 | 0.14 | 24% | 14 Mar → | |
| ancient | 9–13 | 0.11 | 19% | 2 Feb → | |
| ancient | 13–10 | 0.06 | 23% | 2 Feb → | |
| inferno | 13–7 | 0.08 | 23% | 2 Feb → | |
| inferno | 10–13 | 0.05 | 21% | 26 Jan → | |
| inferno | 13–3 | 0.10 | 33% | 16 Jan → | |
| dust2 | 22–20 | -0.02 | 18% | 20 Dec → | |
| inferno | 25–28 | -0.01 | 27% | 18 Dec → | |
| inferno | 13–10 | 0.04 | 25% | 18 Dec → | |
| dust2 | 20–22 | -0.01 | 21% | 17 Dec → | |
| mirage | 10–13 | -0.01 | 22% | 14 Dec → |
Match data via Leetify.
