chiefkeef19 — CS2 Stats
76561199074198116[U:1:1113932388]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective flashes
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 ropz 93% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-duel success.
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 93 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
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 51% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
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 7.0/10 (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 |
|---|---|---|---|---|---|
| D | 30 | 10–20 | 33% | -0.01 | |
| A | 22 | 12–10 | 55% | -0.00 | |
| B | 17 | 9–8 | 53% | 0.01 | |
| D | 13 | 4–9 | 31% | 0.01 | |
| S | 12 | 10–2 | 83% | 0.02 | |
| — | 2 | 2–0 | 100% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.01 | |
| sanctum | — | 1 | 1–0 | 100% | 0.25 |
| — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1131 | 51% | 1.17 | 16.8 |
| Mirage | 946 | 48% | 1.13 | 16.8 |
| Anubis | 879 | 54% | 1.18 | 17.0 |
| Dust2 | 662 | 52% | 1.17 | 16.7 |
| Nuke | 497 | 54% | 1.17 | 16.5 |
| Vertigo | 249 | 62% | 1.24 | 17.1 |
| Inferno | 172 | 44% | 1.12 | 16.3 |
| Overpass | 155 | 50% | 1.20 | 16.8 |
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 29.2951% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.03 | 30% | 26 Aug → | ||
| 13–6 | 0.01 | 27% | 26 Aug → | ||
| 8–13 | 0.09 | 30% | 26 Aug → | ||
| 11–13 | 0.02 | 28% | 25 Aug → | ||
| 7–13 | -0.01 | 19% | 23 Aug → | ||
| 16–13 | 0.05 | 25% | 23 Aug → | ||
| 13–16 | 0.00 | 25% | 18 Aug → | ||
| 16–12 | 0.03 | 15% | 17 Aug → | ||
| 4–13 | -0.07 | 42% | 16 Aug → | ||
| 13–10 | 0.02 | 18% | 14 Aug → | ||
| 10–13 | 0.05 | 60% | 12 Aug → | ||
| 11–13 | -0.01 | 18% | 11 Aug → | ||
| 13–4 | 0.03 | 22% | 10 Aug → | ||
| 9–13 | 0.02 | 23% | 10 Aug → | ||
| 6–13 | -0.05 | 50% | 9 Aug → | ||
| 13–9 | 0.08 | 50% | 8 Aug → | ||
| 14–16 | -0.00 | 35% | 8 Aug → | ||
| 13–4 | 0.03 | 21% | 8 Aug → | ||
| 2–13 | -0.07 | 26% | 2 Aug → | ||
| 7–13 | -0.03 | 29% | 10 Jul → | ||
| 13–6 | 0.02 | 35% | 10 Jul → | ||
| 13–8 | -0.03 | 17% | 10 Jul → | ||
| 10–13 | -0.03 | 50% | 8 Jul → | ||
| 13–7 | -0.01 | 21% | 24 Jun → | ||
| 4–13 | -0.13 | 33% | 22 Jun → | ||
| 2–13 | -0.00 | 30% | 13 Jun → | ||
| 9–13 | 0.00 | 52% | 9 Jun → | ||
| 13–4 | 0.05 | 32% | 1 Jun → | ||
| 13–8 | -0.04 | 18% | 23 May → | ||
| 13–10 | -0.04 | 35% | 23 May → | ||
| 13–16 | -0.02 | 22% | 21 May → | ||
| 8–13 | -0.01 | 27% | 10 May → | ||
| 11–13 | -0.01 | 13% | 10 May → | ||
| 11–13 | -0.01 | 13% | 10 May → | ||
| 8–13 | -0.01 | 27% | 10 May → | ||
| 2–13 | -0.07 | 14% | 10 May → | ||
| 11–13 | 0.02 | 23% | 10 May → | ||
| 2–13 | -0.07 | 14% | 10 May → | ||
| 11–13 | 0.02 | 23% | 10 May → | ||
| 13–11 | -0.05 | 10% | 10 May → | ||
| 13–6 | 0.04 | 10% | 10 May → | ||
| 13–6 | 0.04 | 10% | 10 May → | ||
| 13–11 | -0.05 | 10% | 10 May → | ||
| 13–5 | 0.09 | 38% | 9 May → | ||
| 3–13 | -0.01 | 36% | 9 May → | ||
| 13–9 | 0.12 | 33% | 9 May → | ||
| 7–13 | -0.00 | 32% | 9 May → | ||
| 13–8 | -0.04 | 7% | 9 May → | ||
| 13–6 | 0.10 | 30% | 2 May → | ||
| 10–13 | -0.02 | 23% | 21 Apr → | ||
| 14–16 | -0.03 | 25% | 18 Apr → | ||
| 16–14 | 0.00 | 18% | 14 Apr → | ||
| 3–13 | -0.01 | 33% | 4 Apr → | ||
| 13–11 | -0.03 | 28% | 31 Mar → | ||
| 13–7 | 0.04 | 28% | 30 Mar → | ||
| 13–7 | 0.04 | 34% | 29 Mar → | ||
| 16–13 | -0.04 | 30% | 28 Mar → | ||
| 7–13 | -0.07 | 14% | 28 Mar → | ||
| 8–8 | 0.01 | 29% | 25 Mar → | ||
| sanctum | 9–3 | 0.25 | 22% | 25 Mar → | |
| 16–13 | -0.00 | 16% | 23 Mar → | ||
| 10–13 | 0.06 | 26% | 21 Mar → | ||
| 5–13 | -0.02 | 33% | 17 Mar → | ||
| 19–17 | -0.01 | 13% | 15 Mar → | ||
| 13–2 | -0.03 | 50% | 14 Mar → | ||
| 13–6 | 0.03 | 14% | 11 Mar → | ||
| 13–8 | -0.06 | 31% | 11 Mar → | ||
| 13–2 | 0.12 | 31% | 11 Mar → | ||
| 13–9 | -0.04 | 21% | 10 Mar → | ||
| 13–4 | 0.07 | 23% | 4 Mar → | ||
| 13–8 | 0.00 | 31% | 4 Mar → | ||
| 7–13 | 0.01 | 15% | 4 Mar → | ||
| 25–22 | 0.02 | 11% | 1 Mar → | ||
| 2–5 | 0.23 | 100% | 28 Feb → | ||
| 3–13 | -0.05 | 7% | 27 Feb → | ||
| 7–9 | -0.10 | 11% | 21 Feb → | ||
| 9–13 | -0.04 | 13% | 19 Feb → | ||
| 16–19 | 0.03 | 16% | 16 Feb → | ||
| 13–11 | 0.03 | 33% | 16 Feb → | ||
| 13–9 | -0.02 | 35% | 16 Feb → | ||
| 13–11 | -0.03 | 34% | 14 Feb → | ||
| 10–13 | -0.04 | 23% | 11 Feb → | ||
| 2–13 | -0.04 | 36% | 10 Feb → | ||
| 7–13 | 0.06 | 24% | 7 Feb → | ||
| 5–13 | -0.01 | 31% | 2 Feb → | ||
| 13–6 | -0.05 | 21% | 28 Jan → | ||
| 14–16 | 0.02 | 22% | 28 Jan → | ||
| 13–9 | -0.03 | 30% | 21 Jan → | ||
| 7–13 | -0.04 | 11% | 20 Jan → | ||
| 6–13 | -0.03 | 26% | 19 Jan → | ||
| 13–10 | 0.05 | 31% | 18 Jan → | ||
| 8–13 | -0.06 | 24% | 17 Jan → | ||
| 5–13 | -0.02 | 20% | 16 Jan → | ||
| 9–13 | -0.02 | 19% | 10 Jan → | ||
| 13–2 | -0.03 | 17% | 7 Jan → | ||
| 13–6 | -0.01 | 22% | 3 Jan → | ||
| 13–7 | 0.03 | 29% | 2 Jan → | ||
| 13–10 | 0.05 | 27% | 18 Dec → | ||
| 13–11 | 0.06 | 42% | 7 Dec → | ||
| 4–13 | 0.01 | 30% | 7 Dec → |
Match data via Leetify.