Gurka E-Sport manager — CS2 Stats
76561198125638687[U:1:165372959]✓ No bans
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 |
|---|---|---|
| Headshot rate | 71.7% | 52.8% |
| Shot accuracy | 13.1% | 13.7% |
| Kill/death ratio | 0.78 | 1.08 |
| Match win rate | 48.2% | 49.2% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective flashesLimited 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 sh1ro 92% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 63% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 594ms 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 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
 mirage | S | 17 | 11–6 | 65% | 0.03 |
 dust2 | B | 16 | 8–8 | 50% | 0.00 |
 nuke | A | 15 | 9–6 | 60% | 0.02 |
 cache | A | 14 | 8–6 | 57% | 0.02 |
 ancient | A | 12 | 7–5 | 58% | 0.04 |
 anubis | D | 10 | 3–7 | 30% | 0.01 |
| eldorado | S | 6 | 4–2 | 67% | 0.09 |
 inferno | — | 4 | 3–1 | 75% | 0.03 |
| debris | — | 2 | 2–0 | 100% | 0.10 |
 overpass | — | 2 | 1–1 | 50% | 0.02 |
 vertigo | — | 1 | 1–0 | 100% | -0.13 |
 train | — | 1 | 1–0 | 100% | -0.03 |
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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 703 | 49% | 1.03 | 15.9 |
| Ancient | 495 | 52% | 1.06 | 16.3 |
| Anubis | 399 | 53% | 1.07 | 16.5 |
| Dust2 | 302 | 47% | 1.01 | 15.4 |
| Nuke | 205 | 52% | 1.07 | 16.1 |
| Inferno | 174 | 56% | 1.11 | 16.7 |
| Vertigo | 145 | 55% | 1.07 | 16.8 |
| Overpass | 110 | 60% | 1.08 | 16.2 |
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 | |
|---|---|---|---|---|---|
| dust2 | 3–13 | 0.02 | 46% | 27 Aug → | |
| anubis | 12–16 | 0.00 | 30% | 26 Aug → | |
| cache | 13–11 | -0.01 | 34% | 24 Aug → | |
| ancient | 4–13 | 0.11 | 47% | 24 Aug → | |
| nuke | 13–7 | 0.00 | 39% | 24 Aug → | |
| nuke | 13–9 | -0.02 | 30% | 23 Aug → | |
| cache | 3–13 | 0.00 | 15% | 23 Aug → | |
| dust2 | 5–13 | 0.02 | 37% | 22 Aug → | |
| dust2 | 13–5 | 0.01 | 13% | 21 Aug → | |
| dust2 | 13–9 | 0.02 | 35% | 21 Aug → | |
| nuke | 13–2 | 0.10 | 37% | 20 Aug → | |
| mirage | 13–4 | 0.03 | 63% | 19 Aug → | |
| inferno | 13–10 | 0.05 | 22% | 19 Aug → | |
| inferno | 13–5 | 0.02 | 32% | 19 Aug → | |
| ancient | 13–6 | 0.04 | 48% | 19 Aug → | |
| nuke | 16–13 | 0.05 | 31% | 19 Aug → | |
| cache | 11–13 | 0.13 | 34% | 19 Aug → | |
| mirage | 13–3 | 0.12 | 46% | 16 Aug → | |
| dust2 | 7–13 | -0.09 | 42% | 14 Aug → | |
| anubis | 13–10 | 0.03 | 49% | 14 Aug → | |
| cache | 11–13 | 0.02 | 27% | 14 Aug → | |
| nuke | 13–10 | -0.05 | 52% | 13 Aug → | |
| anubis | 7–13 | 0.15 | 34% | 10 Aug → | |
| nuke | 8–13 | 0.04 | 43% | 10 Aug → | |
| cache | 15–15 | -0.02 | 38% | 10 Aug → | |
| eldorado | 9–5 | 0.05 | 40% | 9 Aug → | |
| ancient | 13–9 | -0.00 | 31% | 9 Aug → | |
| cache | 13–10 | 0.02 | 65% | 9 Aug → | |
| anubis | 13–0 | 0.04 | 36% | 9 Aug → | |
| ancient | 6–13 | -0.03 | 23% | 9 Aug → | |
| mirage | 13–9 | 0.05 | 49% | 8 Aug → | |
| nuke | 13–8 | 0.19 | 44% | 29 Jul → | |
| cache | 10–1 | 0.11 | 33% | 29 Jul → | |
| anubis | 5–13 | -0.03 | 50% | 29 Jul → | |
| ancient | 13–3 | 0.12 | 41% | 29 Jul → | |
| ancient | 11–13 | 0.12 | 44% | 13 Jul → | |
| eldorado | 9–0 | 0.23 | 50% | 13 Jul → | |
| debris | 9–5 | 0.23 | 46% | 13 Jul → | |
| eldorado | 9–7 | 0.02 | 54% | 13 Jul → | |
| eldorado | 7–9 | 0.04 | 21% | 12 Jul → | |
| eldorado | 9–1 | 0.16 | 43% | 12 Jul → | |
| dust2 | 13–8 | 0.05 | 42% | 12 Jul → | |
| cache | 13–5 | 0.00 | 36% | 12 Jul → | |
| cache | 13–16 | 0.02 | 39% | 12 Jul → | |
| cache | 13–0 | -0.03 | 41% | 12 Jul → | |
| debris | 9–7 | -0.02 | 41% | 12 Jul → | |
| eldorado | 8–8 | 0.03 | 39% | 12 Jul → | |
| mirage | 13–9 | -0.02 | 23% | 11 Jul → | |
| mirage | 18–22 | 0.03 | 28% | 9 Jul → | |
| nuke | 13–16 | 0.01 | 46% | 9 Jul → | |
| dust2 | 13–6 | 0.06 | 41% | 9 Jul → | |
| cache | 13–6 | -0.03 | 38% | 8 Jul → | |
| inferno | 11–13 | 0.07 | 45% | 8 Jul → | |
| dust2 | 3–13 | -0.05 | 28% | 8 Jul → | |
| anubis | 13–10 | 0.03 | 25% | 8 Jul → | |
| dust2 | 13–6 | 0.05 | 34% | 8 Jul → | |
| anubis | 11–13 | -0.02 | 27% | 4 Jul → | |
| mirage | 13–9 | 0.03 | 39% | 4 Jul → | |
| ancient | 9–13 | 0.00 | 35% | 3 Jul → | |
| dust2 | 8–13 | -0.02 | 28% | 3 Jul → | |
| mirage | 6–13 | -0.06 | 31% | 1 Jul → | |
| dust2 | 13–6 | 0.02 | 22% | 1 Jul → | |
| ancient | 0–13 | -0.07 | 33% | 1 Jul → | |
| nuke | 15–15 | -0.00 | 38% | 1 Jul → | |
| mirage | 13–2 | 0.16 | 55% | 1 Jul → | |
| dust2 | 16–12 | -0.04 | 22% | 28 Jun → | |
| inferno | 13–7 | -0.01 | 43% | 28 Jun → | |
| mirage | 2–13 | -0.09 | 50% | 25 Jun → | |
| nuke | 13–10 | -0.02 | 36% | 25 Jun → | |
| overpass | 13–7 | 0.08 | 42% | 25 Jun → | |
| ancient | 13–5 | 0.13 | 34% | 25 Jun → | |
| dust2 | 8–13 | 0.00 | 44% | 25 Jun → | |
| ancient | 16–13 | 0.01 | 34% | 25 Jun → | |
| cache | 13–6 | 0.07 | 56% | 10 Jun → | |
| cache | 13–5 | 0.00 | 36% | 10 Jun → | |
| nuke | 11–13 | -0.04 | 26% | 9 Jun → | |
| mirage | 13–9 | 0.10 | 26% | 9 Jun → | |
| ancient | 13–3 | 0.04 | 29% | 7 Jun → | |
| vertigo | 13–9 | -0.13 | 21% | 5 Jun → | |
| anubis | 15–15 | 0.02 | 25% | 5 Jun → | |
| mirage | 7–13 | 0.03 | 33% | 5 Jun → | |
| nuke | 10–13 | -0.05 | 29% | 5 Jun → | |
| dust2 | 13–8 | 0.02 | 47% | 5 Jun → | |
| nuke | 13–11 | -0.02 | 41% | 4 Jun → | |
| cache | 8–13 | 0.02 | 36% | 4 Jun → | |
| train | 13–8 | -0.03 | 29% | 4 Jun → | |
| mirage | 4–13 | 0.01 | 22% | 3 Jun → | |
| nuke | 5–13 | 0.07 | 18% | 3 Jun → | |
| nuke | 13–8 | 0.02 | 38% | 3 Jun → | |
| dust2 | 7–13 | 0.02 | 43% | 3 Jun → | |
| anubis | 4–13 | -0.05 | 17% | 3 Jun → | |
| mirage | 13–9 | 0.01 | 23% | 1 Jun → | |
| overpass | 10–13 | -0.04 | 38% | 1 Jun → | |
| mirage | 13–4 | 0.11 | 36% | 1 Jun → | |
| mirage | 5–13 | -0.02 | 47% | 31 May → | |
| mirage | 13–11 | 0.00 | 29% | 31 May → | |
| anubis | 9–13 | -0.07 | 26% | 31 May → | |
| dust2 | 0–13 | -0.07 | 22% | 31 May → | |
| mirage | 13–5 | 0.05 | 37% | 31 May → | |
| ancient | 13–6 | 0.04 | 33% | 31 May → |
Match data via Leetify.
