kingsley — CS2 Stats
76561198217058421[U:1:256792693]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafing
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 iM 92% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 645ms 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 7.0/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 28 | 15–13 | 54% | 0.01 | |
| A | 17 | 10–7 | 59% | 0.02 | |
| D | 14 | 4–10 | 29% | 0.03 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| D | 5 | 0–5 | 0% | 0.07 | |
| — | 2 | 1–1 | 50% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.09 | |
| office | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 31 | 52% | 1.13 | 17.1 |
| Nuke | 16 | 69% | 1.53 | 17.6 |
| Vertigo | 14 | 71% | 1.52 | 18.3 |
| Anubis | 10 | 70% | 1.00 | 13.0 |
| Ancient | 9 | 56% | 1.02 | 15.0 |
| Inferno | 7 | 57% | 1.17 | 18.1 |
| Overpass | 4 | 50% | 1.35 | 17.5 |
| Dust2 | 4 | 25% | 1.00 | 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.
- 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 0.4712 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | -0.02 | 14% | 28 Aug → | ||
| 13–10 | -0.03 | 25% | 28 Aug → | ||
| 11–13 | 0.02 | 9% | 18 Aug → | ||
| 6–13 | -0.06 | 15% | 7 Aug → | ||
| 2–13 | -0.08 | 17% | 6 Aug → | ||
| 1–8 | -0.09 | 50% | 6 Aug → | ||
| 12–12 | 0.00 | 16% | 6 Aug → | ||
| 5–13 | 0.01 | 9% | 6 Aug → | ||
| 13–10 | 0.07 | 23% | 31 Jul → | ||
| 11–13 | -0.03 | 27% | 31 Jul → | ||
| 6–13 | 0.01 | 21% | 31 Jul → | ||
| 12–12 | 0.06 | 16% | 20 Jul → | ||
| 13–9 | 0.05 | 22% | 20 Jul → | ||
| 13–5 | 0.07 | 13% | 19 Jul → | ||
| 13–7 | 0.07 | 16% | 18 Jul → | ||
| 13–5 | 0.07 | 22% | 17 Jul → | ||
| 13–11 | -0.01 | 18% | 17 Jul → | ||
| 6–13 | -0.06 | 9% | 16 Jul → | ||
| 16–12 | -0.06 | 17% | 14 Jul → | ||
| 13–10 | -0.05 | 14% | 12 Jul → | ||
| 12–12 | 0.03 | 20% | 7 Jul → | ||
| 8–13 | -0.03 | 16% | 5 Jul → | ||
| 13–7 | -0.04 | 13% | 5 Jul → | ||
| 13–7 | 0.04 | 10% | 4 Jul → | ||
| 13–4 | 0.01 | 23% | 4 Jul → | ||
| 13–6 | 0.01 | 17% | 4 Jul → | ||
| 5–13 | -0.02 | 19% | 24 Jun → | ||
| 22–18 | 0.04 | 25% | 24 Jun → | ||
| 13–8 | -0.03 | 15% | 21 Jun → | ||
| 13–9 | 0.10 | 28% | 21 Jun → | ||
| 4–13 | -0.04 | 27% | 21 Jun → | ||
| 13–3 | 0.11 | 18% | 21 Jun → | ||
| 8–13 | -0.04 | 16% | 21 Jun → | ||
| 9–13 | 0.00 | 23% | 19 Jun → | ||
| 12–12 | 0.01 | 17% | 19 Jun → | ||
| 4–13 | -0.00 | 23% | 19 Jun → | ||
| 12–12 | -0.04 | 24% | 19 Jun → | ||
| 13–8 | -0.03 | 14% | 14 Jun → | ||
| 13–2 | 0.06 | 27% | 14 Jun → | ||
| 5–13 | -0.00 | 17% | 12 Jun → | ||
| 7–13 | 0.01 | 22% | 12 Jun → | ||
| 12–12 | -0.04 | 18% | 11 Jun → | ||
| 13–11 | 0.09 | 35% | 31 May → | ||
| 3–13 | 0.01 | 34% | 31 May → | ||
| 12–12 | 0.02 | 21% | 27 May → | ||
| 4–13 | 0.01 | 31% | 27 May → | ||
| 10–13 | 0.01 | 28% | 27 May → | ||
| 7–13 | 0.04 | 27% | 27 May → | ||
| 12–12 | -0.03 | 25% | 27 May → | ||
| 8–13 | -0.01 | 15% | 27 May → | ||
| office | 2–13 | 0.02 | 22% | 26 May → | |
| 13–5 | 0.06 | 24% | 24 May → | ||
| 4–13 | -0.02 | 18% | 23 May → | ||
| 9–13 | 0.02 | 38% | 23 May → | ||
| 13–9 | 0.02 | 20% | 22 May → | ||
| 7–13 | -0.10 | 29% | 20 May → | ||
| 12–12 | 0.03 | 16% | 14 May → | ||
| 13–3 | 0.09 | 22% | 13 May → | ||
| 12–12 | 0.07 | 20% | 13 May → | ||
| 6–13 | 0.05 | 40% | 12 May → | ||
| 13–10 | 0.04 | 25% | 12 May → | ||
| 13–5 | 0.05 | 20% | 12 May → | ||
| 13–7 | -0.00 | 22% | 12 May → | ||
| 10–13 | 0.00 | 13% | 11 May → | ||
| 13–4 | 0.03 | 20% | 10 May → | ||
| 11–13 | 0.06 | 22% | 10 May → | ||
| 13–10 | -0.02 | 24% | 10 May → | ||
| 13–9 | 0.05 | 34% | 10 May → | ||
| 13–10 | 0.13 | 21% | 8 May → | ||
| 7–13 | 0.02 | 18% | 7 May → | ||
| 12–12 | -0.01 | 8% | 3 May → | ||
| 10–13 | 0.02 | 27% | 3 May → | ||
| 12–12 | 0.14 | 36% | 3 May → | ||
| 10–13 | 0.04 | 35% | 2 May → | ||
| 13–11 | -0.01 | 26% | 30 Apr → | ||
| 12–12 | 0.16 | 27% | 29 Apr → | ||
| 13–3 | 0.11 | 25% | 27 Apr → | ||
| 16–14 | 0.01 | 12% | 27 Apr → | ||
| 13–9 | 0.08 | 17% | 27 Apr → | ||
| 12–12 | 0.01 | 15% | 26 Apr → | ||
| 13–10 | -0.05 | 13% | 26 Apr → | ||
| 13–1 | 0.12 | 17% | 26 Apr → | ||
| 7–13 | -0.07 | 32% | 26 Apr → | ||
| 8–13 | -0.03 | 18% | 25 Apr → | ||
| 8–13 | -0.02 | 20% | 25 Apr → | ||
| 13–9 | 0.03 | 21% | 25 Apr → | ||
| 13–10 | -0.00 | 19% | 24 Apr → | ||
| 2–12 | 0.08 | 21% | 22 Apr → | ||
| 9–13 | -0.02 | 17% | 22 Apr → | ||
| 9–13 | 0.02 | 23% | 22 Apr → | ||
| 1–5 | -0.04 | 21% | 22 Apr → | ||
| 13–9 | 0.00 | 19% | 21 Apr → | ||
| 8–13 | 0.06 | 40% | 21 Apr → | ||
| 13–8 | 0.03 | 15% | 19 Apr → | ||
| 13–11 | 0.03 | 30% | 19 Apr → | ||
| 13–7 | 0.04 | 33% | 19 Apr → | ||
| 13–6 | 0.03 | 18% | 19 Apr → | ||
| 13–0 | 0.07 | 40% | 19 Apr → | ||
| 13–6 | 0.06 | 21% | 19 Apr → | ||
| 4–13 | 0.02 | 29% | 19 Apr → |
Match data via Leetify.