Kulles — CS2 Stats
EE76561198185302707[U:1:225036979]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 |
|---|---|---|
| Headshot rate | 40.5% | 51.9% |
| Shot accuracy | 12.9% | 13.7% |
| Kill/death ratio | 1.14 | 1.08 |
| Match win rate | 48.4% | 48.7% |
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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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 95% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: 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. 555ms 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 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 dust2 | B | 24 | 13–11 | 54% | 0.02 |
 nuke | A | 22 | 12–10 | 55% | 0.02 |
 mirage | B | 15 | 7–8 | 47% | 0.03 |
 inferno | A | 14 | 8–6 | 57% | 0.03 |
 anubis | D | 10 | 3–7 | 30% | 0.02 |
 overpass | A | 5 | 3–2 | 60% | 0.05 |
 ancient | — | 4 | 2–2 | 50% | -0.00 |
 cache | — | 4 | 3–1 | 75% | 0.04 |
| fachwerk | — | 1 | 0–1 | 0% | -0.05 |
| boulder | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 326 | 51% | 1.13 | 16.2 |
| Dust2 | 190 | 56% | 1.20 | 17.0 |
| Anubis | 157 | 54% | 1.18 | 16.3 |
| Inferno | 151 | 55% | 1.20 | 16.9 |
| Nuke | 127 | 51% | 1.25 | 17.0 |
| Ancient | 122 | 42% | 1.08 | 16.0 |
| Vertigo | 75 | 48% | 1.24 | 16.2 |
| Overpass | 39 | 59% | 1.36 | 18.1 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–8 | 0.06 | 21% | 27 Aug → | |
| inferno | 13–5 | 0.01 | 27% | 21 Aug → | |
| nuke | 13–11 | -0.02 | 29% | 21 Aug → | |
| dust2 | 10–13 | 0.00 | 21% | 21 Aug → | |
| ancient | 9–13 | 0.03 | 17% | 21 Aug → | |
| inferno | 11–13 | 0.03 | 20% | 28 Jul → | |
| anubis | 11–13 | 0.01 | 19% | 28 Jul → | |
| mirage | 7–13 | -0.06 | 19% | 28 Jul → | |
| nuke | 0–3 | -0.02 | 100% | 26 Jul → | |
| anubis | 10–13 | -0.00 | 16% | 26 Jul → | |
| dust2 | 13–4 | 0.06 | 40% | 26 Jul → | |
| fachwerk | 4–13 | -0.05 | 29% | 13 Jul → | |
| boulder | 13–7 | -0.01 | 23% | 13 Jul → | |
| nuke | 13–8 | 0.04 | 32% | 12 Jul → | |
| inferno | 5–13 | -0.03 | 24% | 28 Jun → | |
| mirage | 4–13 | -0.01 | 18% | 7 Jun → | |
| dust2 | 13–4 | 0.11 | 40% | 3 Jun → | |
| dust2 | 10–13 | 0.03 | 23% | 31 May → | |
| dust2 | 10–13 | -0.01 | 19% | 28 May → | |
| dust2 | 1–13 | -0.08 | 29% | 28 May → | |
| dust2 | 13–3 | 0.03 | 14% | 24 May → | |
| cache | 13–8 | 0.10 | 24% | 16 May → | |
| cache | 11–13 | 0.01 | 14% | 12 May → | |
| cache | 13–8 | 0.02 | 13% | 10 May → | |
| overpass | 13–2 | 0.15 | 31% | 5 May → | |
| cache | 16–14 | 0.02 | 19% | 5 May → | |
| nuke | 7–13 | 0.00 | 14% | 26 Apr → | |
| nuke | 13–10 | 0.01 | 25% | 23 Apr → | |
| dust2 | 13–6 | 0.01 | 16% | 22 Apr → | |
| nuke | 3–13 | -0.08 | 14% | 22 Apr → | |
| mirage | 10–13 | 0.04 | 19% | 20 Apr → | |
| nuke | 10–13 | 0.01 | 43% | 1 Apr → | |
| overpass | 13–4 | 0.02 | 15% | 31 Mar → | |
| nuke | 16–14 | 0.02 | 10% | 29 Mar → | |
| dust2 | 4–13 | -0.06 | 21% | 29 Mar → | |
| inferno | 11–13 | 0.00 | 13% | 26 Mar → | |
| inferno | 6–13 | 0.04 | 24% | 26 Mar → | |
| mirage | 4–13 | -0.05 | 12% | 24 Mar → | |
| dust2 | 13–4 | 0.01 | 20% | 24 Mar → | |
| mirage | 13–7 | -0.01 | 20% | 22 Mar → | |
| dust2 | 4–13 | 0.02 | 30% | 22 Mar → | |
| nuke | 13–3 | 0.08 | 24% | 21 Mar → | |
| inferno | 13–4 | 0.07 | 14% | 20 Mar → | |
| mirage | 3–13 | 0.04 | 28% | 19 Mar → | |
| inferno | 13–4 | 0.00 | 13% | 12 Mar → | |
| dust2 | 13–5 | 0.11 | 34% | 12 Mar → | |
| ancient | 13–4 | 0.04 | 23% | 6 Mar → | |
| inferno | 13–9 | 0.02 | 25% | 3 Mar → | |
| dust2 | 13–2 | -0.00 | 38% | 1 Mar → | |
| overpass | 7–13 | 0.06 | 27% | 1 Mar → | |
| anubis | 9–13 | 0.03 | 22% | 28 Feb → | |
| mirage | 13–3 | 0.17 | 27% | 28 Feb → | |
| nuke | 10–13 | -0.03 | 26% | 26 Feb → | |
| nuke | 13–5 | 0.03 | 21% | 21 Feb → | |
| inferno | 8–13 | 0.01 | 18% | 19 Feb → | |
| nuke | 13–5 | 0.11 | 29% | 15 Feb → | |
| anubis | 13–1 | 0.13 | 17% | 15 Feb → | |
| nuke | 16–13 | 0.03 | 32% | 15 Feb → | |
| anubis | 16–12 | -0.02 | 10% | 15 Feb → | |
| inferno | 13–2 | 0.14 | 18% | 14 Feb → | |
| mirage | 7–13 | -0.02 | 19% | 14 Feb → | |
| nuke | 13–3 | 0.09 | 30% | 10 Feb → | |
| mirage | 11–13 | 0.01 | 16% | 5 Feb → | |
| anubis | 8–13 | 0.06 | 43% | 5 Feb → | |
| anubis | 14–16 | 0.05 | 13% | 4 Feb → | |
| inferno | 13–11 | 0.01 | 25% | 4 Feb → | |
| mirage | 13–1 | 0.08 | 31% | 2 Feb → | |
| dust2 | 10–13 | 0.07 | 38% | 2 Feb → | |
| nuke | 9–13 | 0.04 | 33% | 30 Jan → | |
| dust2 | 11–13 | 0.07 | 26% | 30 Jan → | |
| anubis | 15–15 | 0.03 | 15% | 26 Jan → | |
| ancient | 6–13 | -0.00 | 10% | 26 Jan → | |
| dust2 | 11–13 | -0.03 | 21% | 25 Jan → | |
| nuke | 2–0 | 0.04 | 50% | 25 Jan → | |
| anubis | 3–13 | -0.03 | 24% | 25 Jan → | |
| mirage | 13–11 | 0.04 | 20% | 25 Jan → | |
| inferno | 5–13 | 0.07 | 24% | 24 Jan → | |
| dust2 | 16–14 | 0.02 | 18% | 24 Jan → | |
| dust2 | 13–7 | 0.01 | 17% | 22 Jan → | |
| ancient | 13–2 | -0.07 | 25% | 22 Jan → | |
| anubis | 13–6 | -0.02 | 13% | 22 Jan → | |
| mirage | 13–0 | 0.01 | 28% | 22 Jan → | |
| dust2 | 15–15 | -0.05 | 15% | 18 Jan → | |
| nuke | 2–13 | -0.02 | 12% | 18 Jan → | |
| dust2 | 13–5 | 0.09 | 41% | 17 Jan → | |
| inferno | 13–8 | 0.04 | 13% | 17 Jan → | |
| overpass | 16–12 | 0.03 | 17% | 17 Jan → | |
| nuke | 9–13 | 0.01 | 23% | 17 Jan → | |
| mirage | 13–5 | 0.13 | 32% | 17 Jan → | |
| inferno | 16–14 | -0.00 | 12% | 17 Jan → | |
| dust2 | 13–11 | 0.08 | 28% | 17 Jan → | |
| mirage | 13–7 | 0.03 | 15% | 15 Jan → | |
| nuke | 10–13 | 0.03 | 12% | 15 Jan → | |
| overpass | 9–13 | -0.02 | 18% | 14 Jan → | |
| dust2 | 13–8 | 0.01 | 21% | 14 Jan → | |
| dust2 | 10–13 | 0.04 | 20% | 12 Jan → | |
| nuke | 13–6 | 0.04 | 29% | 6 Jan → | |
| dust2 | 13–9 | 0.06 | 24% | 6 Jan → | |
| nuke | 12–16 | -0.02 | 9% | 5 Jan → | |
| mirage | 4–13 | 0.02 | 28% | 4 Jan → |
Match data via Leetify.