SlukShow — CS2 Stats
76561198816443981[U:1:856178253]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.09 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 82% 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
T-side openings. Opening success drops from 48% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 670ms 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 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| A | 31 | 19–12 | 61% | 0.02 | |
| C | 21 | 9–12 | 43% | -0.01 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| C | 10 | 4–6 | 40% | -0.03 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| — | 4 | 3–1 | 75% | 0.05 | |
| — | 3 | 1–2 | 33% | -0.00 | |
| — | 2 | 0–2 | 0% | -0.14 | |
| — | 2 | 0–2 | 0% | -0.01 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 432 | 52% | 1.07 | 16.8 |
| Ancient | 243 | 51% | 1.06 | 16.8 |
| Anubis | 191 | 52% | 1.05 | 15.8 |
| Dust2 | 114 | 44% | 0.97 | 15.4 |
| Inferno | 100 | 48% | 1.04 | 16.0 |
| Nuke | 83 | 47% | 1.02 | 17.8 |
| Overpass | 70 | 51% | 1.07 | 16.7 |
| Vertigo | 29 | 38% | 0.86 | 14.3 |
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 0.4623 — 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 28.9553% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.06 | 11% | 27 Aug → | ||
| 13–11 | -0.04 | 10% | 19 Jun → | ||
| 7–13 | 0.06 | 17% | 18 Jun → | ||
| 1–9 | -0.19 | 14% | 16 Jun → | ||
| 6–13 | 0.00 | 13% | 14 Jun → | ||
| 8–13 | -0.03 | 17% | 12 Jun → | ||
| 6–13 | -0.06 | 8% | 23 May → | ||
| 11–13 | -0.08 | 17% | 21 May → | ||
| 10–13 | -0.06 | 14% | 21 Apr → | ||
| 6–13 | -0.22 | 13% | 21 Apr → | ||
| 7–13 | 0.03 | 23% | 26 Mar → | ||
| 11–13 | 0.09 | 19% | 17 Feb → | ||
| 6–9 | 0.01 | 9% | 17 Feb → | ||
| 13–4 | 0.05 | 12% | 17 Feb → | ||
| 14–16 | 0.01 | 20% | 16 Feb → | ||
| 13–11 | 0.10 | 17% | 5 Feb → | ||
| 13–11 | -0.04 | 14% | 4 Feb → | ||
| 9–13 | 0.01 | 21% | 25 Jan → | ||
| 13–5 | -0.02 | 24% | 10 Jan → | ||
| 13–8 | 0.01 | 31% | 8 Jan → | ||
| 13–11 | -0.06 | 26% | 7 Jan → | ||
| 13–6 | -0.05 | 16% | 7 Jan → | ||
| 13–7 | 0.06 | 52% | 30 Dec → | ||
| 9–6 | 0.01 | 32% | 1 Dec → | ||
| 13–9 | -0.04 | 16% | 1 Dec → | ||
| 6–13 | -0.06 | 24% | 23 Nov → | ||
| 16–14 | -0.04 | 18% | 21 Nov → | ||
| 10–13 | -0.04 | 18% | 20 Nov → | ||
| 15–19 | -0.03 | 20% | 26 Oct → | ||
| 16–13 | -0.08 | 15% | 25 Oct → | ||
| 22–20 | 0.01 | 20% | 23 Oct → | ||
| 13–11 | -0.01 | 25% | 22 Oct → | ||
| 13–4 | 0.09 | 29% | 22 Oct → | ||
| 13–6 | 0.09 | 25% | 22 Oct → | ||
| 9–13 | 0.03 | 28% | 9 Oct → | ||
| 16–13 | -0.03 | 36% | 1 Oct → | ||
| 13–10 | 0.08 | 41% | 29 Sept → | ||
| 11–13 | -0.00 | 38% | 23 Sept → | ||
| 7–13 | 0.04 | 9% | 19 Sept → | ||
| 8–8 | 0.03 | 21% | 18 Sept → | ||
| 13–3 | 0.09 | 26% | 18 Sept → | ||
| 1–13 | -0.05 | 23% | 18 Sept → | ||
| 9–7 | 0.13 | 32% | 10 Sept → | ||
| 7–13 | -0.06 | 35% | 6 Sept → | ||
| 4–13 | -0.06 | 11% | 31 Aug → | ||
| 10–13 | 0.05 | 17% | 30 Aug → | ||
| 13–9 | -0.05 | 30% | 28 Aug → | ||
| 13–8 | -0.03 | 16% | 25 Aug → | ||
| 8–13 | 0.02 | 17% | 23 Aug → | ||
| 13–16 | -0.01 | 15% | 19 Aug → | ||
| 11–13 | -0.04 | 20% | 19 Aug → | ||
| 13–5 | 0.02 | 18% | 17 Aug → | ||
| 13–3 | 0.16 | 19% | 16 Aug → | ||
| 13–8 | 0.08 | 19% | 6 Aug → | ||
| 13–2 | -0.00 | 21% | 2 Aug → | ||
| 13–9 | 0.04 | 12% | 30 Jul → | ||
| 13–11 | 0.04 | 19% | 28 Jul → | ||
| 13–6 | 0.01 | 12% | 27 Jul → | ||
| 13–7 | 0.01 | 14% | 20 Jul → | ||
| 3–9 | -0.09 | 21% | 17 Jul → | ||
| 12–12 | 0.07 | 10% | 10 Jul → | ||
| 7–13 | -0.01 | 18% | 18 Jun → | ||
| 9–13 | 0.01 | 21% | 28 May → | ||
| 13–2 | 0.13 | 40% | 7 May → | ||
| 8–13 | -0.01 | 28% | 9 Apr → | ||
| 13–9 | 0.04 | 17% | 5 Apr → | ||
| 13–11 | -0.01 | 13% | 30 Mar → | ||
| 13–9 | -0.02 | 23% | 26 Mar → | ||
| 11–10 | 0.02 | 17% | 23 Mar → | ||
| 13–8 | 0.06 | 17% | 14 Mar → | ||
| 9–13 | -0.00 | 12% | 25 Feb → | ||
| 4–13 | 0.05 | 25% | 25 Feb → | ||
| 4–10 | -0.01 | 28% | 22 Feb → | ||
| 9–13 | -0.00 | 20% | 19 Feb → | ||
| 13–5 | -0.04 | 7% | 15 Feb → | ||
| 3–13 | -0.06 | 32% | 15 Feb → | ||
| 13–6 | -0.01 | 27% | 2 Feb → | ||
| 13–9 | 0.06 | 23% | 31 Jan → | ||
| 10–13 | -0.08 | 14% | 29 Jan → | ||
| 14–16 | 0.02 | 12% | 25 Jan → | ||
| 9–5 | 0.15 | 18% | 4 Jan → | ||
| 2–11 | -0.06 | 33% | 20 Dec → | ||
| 0–9 | -0.07 | 27% | 15 Dec → | ||
| 16–14 | 0.04 | 19% | 10 Dec → | ||
| 13–8 | 0.08 | 23% | 9 Dec → | ||
| 11–13 | -0.05 | 21% | 3 Dec → | ||
| 13–11 | 0.11 | 17% | 1 Dec → | ||
| 13–5 | 0.01 | 18% | 30 Nov → | ||
| 10–13 | -0.12 | 14% | 14 Nov → | ||
| 2–12 | -0.05 | 17% | 11 Nov → | ||
| 6–13 | -0.02 | 12% | 11 Nov → | ||
| 13–10 | 0.07 | 23% | 7 Nov → | ||
| 5–13 | -0.09 | 8% | 4 Nov → | ||
| 8–13 | -0.08 | 8% | 1 Oct → | ||
| 4–13 | 0.07 | 21% | 25 Sept → | ||
| 7–13 | -0.06 | 21% | 24 Sept → | ||
| 13–11 | 0.11 | 23% | 21 Sept → | ||
| 2–9 | -0.18 | 8% | 17 Sept → | ||
| 13–7 | 0.02 | 19% | 16 Sept → | ||
| 8–13 | -0.10 | 5% | 11 Sept → |
Match data via Leetify.