sluggish sloper — CS2 Stats
KR76561198033516560[U:1:73250832]Steam profile ↗✓ No bans
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 63% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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 3.4/10 (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 55 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 |
|---|---|---|---|---|---|
 inferno | C | 14 | 5–9 | 36% | -0.04 |
 mirage | B | 10 | 5–5 | 50% | -0.04 |
 cache | D | 6 | 2–4 | 33% | -0.05 |
 overpass | S | 6 | 4–2 | 67% | -0.02 |
 dust2 | D | 5 | 1–4 | 20% | -0.06 |
 vertigo | — | 3 | 0–3 | 0% | -0.04 |
 anubis | — | 2 | 1–1 | 50% | -0.03 |
| jura | — | 2 | 1–1 | 50% | -0.05 |
| grail | — | 2 | 1–1 | 50% | -0.02 |
| mills | — | 2 | 2–0 | 100% | -0.04 |
 train | — | 2 | 1–1 | 50% | -0.03 |
| office | — | 1 | 0–1 | 0% | -0.08 |
Across the last 55 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8113 — below the 4 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 25.8669% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–10 | -0.07 | 15% | 1 Jun → | |
| cache | 8–13 | -0.05 | 27% | 1 Jun → | |
| cache | 10–13 | -0.12 | 9% | 10 May → | |
| inferno | 4–13 | -0.07 | 9% | 16 Feb → | |
| inferno | 2–7 | -0.03 | 50% | 16 Feb → | |
| overpass | 13–1 | 0.01 | 13% | 9 Aug → | |
| inferno | 10–13 | -0.04 | 19% | 9 Aug → | |
| anubis | 13–11 | -0.01 | 21% | 9 Aug → | |
| inferno | 4–4 | -0.06 | 7% | 2 Jun → | |
| dust2 | 7–13 | -0.11 | 11% | 31 May → | |
| mirage | 13–2 | -0.03 | 36% | 31 May → | |
| jura | 10–13 | -0.05 | 9% | 31 May → | |
| grail | 12–12 | -0.02 | 24% | 31 May → | |
| inferno | 13–8 | -0.08 | 13% | 30 May → | |
| inferno | 9–13 | -0.10 | 27% | 14 May → | |
| dust2 | 10–13 | -0.06 | 25% | 14 May → | |
| anubis | 8–13 | -0.04 | 24% | 14 May → | |
| jura | 13–10 | -0.04 | 30% | 11 May → | |
| mirage | 4–13 | -0.08 | 24% | 11 May → | |
| grail | 13–7 | -0.03 | 19% | 11 May → | |
| inferno | 13–9 | -0.04 | 22% | 2 May → | |
| overpass | 12–12 | -0.02 | 23% | 24 Jul → | |
| inferno | 1–8 | -0.07 | 0% | 11 Jul → | |
| mirage | 13–2 | -0.04 | 8% | 11 Jul → | |
| mills | 13–0 | -0.01 | 13% | 11 Jul → | |
| mills | 13–11 | -0.08 | 16% | 10 Jul → | |
| mirage | 4–5 | -0.06 | 30% | 5 Sept → | |
| inferno | 13–8 | -0.03 | 24% | 5 Sept → | |
| vertigo | 3–13 | -0.09 | 10% | 5 Sept → | |
| inferno | 7–16 | -0.01 | 17% | 31 Aug → | |
| train | 7–16 | -0.07 | 17% | 31 Aug → | |
| dust2 | 13–16 | -0.04 | 13% | 31 Aug → | |
| mirage | 16–8 | 0.04 | 16% | 31 Aug → | |
| train | 16–7 | 0.02 | 16% | 29 Aug → | |
| vertigo | 4–16 | -0.02 | 10% | 29 Aug → | |
| cache | 14–16 | -0.03 | 7% | 29 Aug → | |
| inferno | 16–3 | 0.07 | 19% | 28 Aug → | |
| mirage | 12–16 | 0.01 | 6% | 28 Aug → | |
| office | 2–16 | -0.08 | 14% | 25 Aug → | |
| dust2 | 16–11 | -0.02 | 19% | 25 Aug → | |
| overpass | 16–10 | -0.01 | 11% | 24 Aug → | |
| mirage | 16–5 | 0.02 | 15% | 7 Jun → | |
| dust2 | 9–16 | -0.09 | 14% | 7 Jun → | |
| cache | 7–16 | -0.02 | 10% | 29 May → | |
| overpass | 16–8 | -0.05 | 9% | 29 May → | |
| vertigo | 11–16 | -0.01 | 17% | 18 May → | |
| overpass | 16–12 | -0.05 | 5% | 24 Apr → | |
| mirage | 15–15 | -0.08 | 9% | 17 Apr → | |
| mirage | 1–16 | -0.11 | 3% | 19 Mar → | |
| inferno | 15–15 | -0.08 | 10% | 10 Feb → | |
| inferno | 7–16 | -0.08 | 5% | 17 Jan → | |
| inferno | 6–2 | 0.05 | 12% | 20 Jun → | |
| cache | 16–11 | -0.04 | 9% | 24 May → | |
| mirage | 15–15 | -0.07 | 7% | 24 May → | |
| overpass | 6–16 | 0.00 | 29% | 20 Jul → |
Match data via Leetify.
