Kchadi — CS2 Stats
ES76561198984090508[U:1:1023824780]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 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 b1t 92% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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. 560ms 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 6.2/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 36 | 24–12 | 67% | 0.01 | |
| A | 28 | 17–11 | 61% | -0.01 | |
| D | 16 | 2–14 | 13% | -0.02 | |
| S | 12 | 8–4 | 67% | -0.00 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (13% over 16). Start with the 6 essential Inferno 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 249 | 57% | 1.08 | 16.1 |
| Anubis | 150 | 47% | 0.95 | 15.5 |
| Dust2 | 103 | 49% | 0.96 | 15.6 |
| Inferno | 51 | 33% | 0.92 | 14.7 |
| Nuke | 45 | 40% | 0.88 | 16.0 |
| Overpass | 35 | 49% | 0.95 | 15.0 |
| Ancient | 6 | 33% | 0.90 | 12.7 |
| Vertigo | 3 | 67% | 0.81 | 15.0 |
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.
- 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 34.224% — 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.
13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.04 | 25% | 23 Aug → | ||
| 13–7 | -0.01 | 18% | 23 Jul → | ||
| 13–9 | -0.03 | 27% | 29 Jun → | ||
| 12–16 | -0.01 | 22% | 31 May → | ||
| 13–10 | -0.01 | 18% | 21 May → | ||
| 13–9 | 0.03 | 24% | 21 May → | ||
| 5–13 | -0.07 | 16% | 15 May → | ||
| 11–13 | -0.03 | 30% | 14 May → | ||
| 16–19 | -0.01 | 21% | 7 May → | ||
| 13–7 | -0.03 | 32% | 24 Apr → | ||
| 11–13 | 0.01 | 23% | 1 Apr → | ||
| 11–13 | -0.01 | 22% | 30 Mar → | ||
| 13–4 | 0.01 | 28% | 16 Mar → | ||
| 13–5 | 0.03 | 15% | 16 Mar → | ||
| 16–13 | -0.03 | 17% | 16 Mar → | ||
| 13–4 | -0.03 | 38% | 15 Mar → | ||
| 16–14 | -0.02 | 14% | 15 Mar → | ||
| 4–13 | -0.04 | 16% | 9 Mar → | ||
| 13–7 | 0.00 | 24% | 3 Mar → | ||
| 13–6 | 0.05 | 28% | 2 Mar → | ||
| 9–13 | -0.02 | 32% | 2 Mar → | ||
| 9–13 | 0.04 | 36% | 26 Feb → | ||
| 10–13 | 0.01 | 18% | 25 Feb → | ||
| 11–13 | -0.01 | 32% | 23 Feb → | ||
| 13–8 | 0.01 | 29% | 23 Feb → | ||
| 16–13 | -0.03 | 16% | 22 Feb → | ||
| 8–13 | -0.03 | 21% | 22 Feb → | ||
| 8–13 | -0.02 | 28% | 22 Feb → | ||
| 13–5 | 0.04 | 22% | 22 Feb → | ||
| 3–13 | 0.01 | 29% | 22 Feb → | ||
| 13–1 | 0.11 | 29% | 19 Feb → | ||
| 13–10 | -0.02 | 39% | 17 Feb → | ||
| 13–8 | 0.07 | 21% | 17 Feb → | ||
| 13–6 | 0.03 | 14% | 16 Feb → | ||
| 13–10 | 0.00 | 13% | 15 Feb → | ||
| 13–11 | 0.01 | 22% | 11 Feb → | ||
| 13–10 | 0.11 | 33% | 11 Feb → | ||
| 9–13 | -0.01 | 21% | 7 Feb → | ||
| 13–9 | -0.01 | 30% | 5 Feb → | ||
| 13–3 | 0.03 | 40% | 27 Jan → | ||
| 11–13 | -0.02 | 10% | 26 Jan → | ||
| 4–13 | -0.06 | 25% | 24 Jan → | ||
| 13–11 | 0.01 | 23% | 22 Jan → | ||
| 13–3 | -0.01 | 32% | 22 Jan → | ||
| 8–13 | 0.03 | 41% | 18 Jan → | ||
| 13–4 | 0.02 | 19% | 18 Jan → | ||
| 13–8 | 0.07 | 41% | 16 Jan → | ||
| 13–7 | 0.01 | 44% | 11 Jan → | ||
| 12–12 | 0.04 | 27% | 11 Jan → | ||
| 13–2 | 0.17 | 43% | 11 Jan → | ||
| 13–3 | -0.00 | 20% | 18 Dec → | ||
| 11–13 | -0.04 | 15% | 14 Dec → | ||
| 14–16 | -0.01 | 27% | 13 Dec → | ||
| 9–13 | -0.03 | 45% | 3 May → | ||
| 13–9 | -0.03 | 25% | 28 Mar → | ||
| 7–13 | -0.02 | 23% | 24 Jul → | ||
| 3–13 | -0.00 | 44% | 23 Jul → | ||
| 9–13 | 0.01 | 22% | 12 Jul → | ||
| 13–16 | -0.03 | 29% | 22 Apr → | ||
| 13–1 | -0.10 | 0% | 21 Feb → | ||
| 12–16 | -0.07 | 20% | 14 Feb → | ||
| 19–16 | -0.04 | 32% | 7 Feb → | ||
| 13–4 | -0.04 | 40% | 5 Feb → | ||
| 19–22 | -0.00 | 33% | 4 Feb → | ||
| 8–13 | -0.01 | 43% | 4 Feb → | ||
| 13–6 | 0.01 | 24% | 31 Jan → | ||
| 10–13 | -0.06 | 35% | 28 Jan → | ||
| 13–9 | -0.03 | 29% | 24 Jan → | ||
| 13–10 | -0.03 | 32% | 22 Jan → | ||
| 13–7 | -0.03 | 29% | 17 Jan → | ||
| 8–13 | 0.04 | 29% | 17 Jan → | ||
| 4–13 | -0.10 | 44% | 15 Jan → | ||
| 13–4 | 0.12 | 26% | 15 Jan → | ||
| 9–13 | 0.01 | 26% | 15 Jan → | ||
| 7–13 | -0.05 | 38% | 14 Jan → | ||
| 13–3 | -0.03 | 55% | 14 Jan → | ||
| 9–13 | -0.07 | 24% | 14 Jan → | ||
| 16–12 | 0.01 | 25% | 12 Jan → | ||
| 6–13 | -0.01 | 14% | 12 Jan → | ||
| 9–13 | -0.03 | 58% | 11 Jan → | ||
| 16–13 | 0.00 | 21% | 10 Jan → | ||
| 13–4 | 0.01 | 36% | 9 Jan → | ||
| 7–13 | -0.01 | 35% | 9 Jan → | ||
| 13–9 | 0.06 | 33% | 9 Jan → | ||
| 16–13 | 0.01 | 32% | 9 Jan → | ||
| 13–11 | -0.08 | 50% | 9 Jan → | ||
| 11–13 | -0.01 | 38% | 6 Jan → | ||
| 14–16 | -0.04 | 21% | 6 Jan → | ||
| 16–13 | -0.06 | 33% | 6 Jan → | ||
| 13–1 | 0.01 | 12% | 6 Jan → | ||
| 10–13 | -0.04 | 15% | 5 Jan → | ||
| 8–13 | -0.04 | 18% | 5 Jan → | ||
| 13–9 | 0.02 | 19% | 4 Jan → | ||
| 7–13 | -0.02 | 24% | 4 Jan → | ||
| 13–2 | 0.02 | 30% | 4 Jan → | ||
| 13–7 | 0.05 | 25% | 4 Jan → | ||
| 19–15 | 0.02 | 29% | 4 Jan → | ||
| 8–13 | 0.00 | 28% | 3 Jan → | ||
| 13–11 | 0.01 | 21% | 3 Jan → | ||
| 11–13 | 0.03 | 27% | 3 Jan → |
Match data via Leetify.
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