jfk — CS2 Stats
76561198140012393[U:1:179746665]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 96% playstyle similarity
Most alike: opening-duel success, 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
Strengths
Aim. Aim score of 94 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 34 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 56% 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 7.1/10 (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 |
|---|---|---|---|---|---|
 mirage | S | 26 | 17–9 | 65% | 0.03 |
 inferno | C | 19 | 8–11 | 42% | 0.03 |
 dust2 | B | 19 | 10–9 | 53% | 0.01 |
 cache | C | 16 | 7–9 | 44% | 0.02 |
 ancient | A | 5 | 3–2 | 60% | 0.06 |
 anubis | — | 4 | 3–1 | 75% | 0.03 |
 nuke | — | 4 | 1–3 | 25% | 0.01 |
| poseidon | — | 3 | 1–2 | 33% | 0.19 |
| sanctum | — | 2 | 2–0 | 100% | 0.15 |
 overpass | — | 1 | 0–1 | 0% | -0.03 |
 vertigo | — | 1 | 1–0 | 100% | 0.15 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 683 | 54% | 1.26 | 18.5 |
| Ancient | 451 | 55% | 1.21 | 17.2 |
| Anubis | 346 | 59% | 1.23 | 17.5 |
| Dust2 | 344 | 55% | 1.28 | 18.4 |
| Inferno | 148 | 61% | 1.33 | 17.8 |
| Nuke | 128 | 54% | 1.18 | 17.4 |
| Overpass | 77 | 57% | 1.26 | 19.5 |
| Vertigo | 72 | 60% | 1.29 | 18.3 |
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.
- 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 29.2144% — 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.
42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 9–13 | 0.02 | 26% | 24 Aug → | |
| mirage | 8–13 | 0.01 | 22% | 23 Aug → | |
| inferno | 0–5 | -0.26 | 50% | 22 Aug → | |
| mirage | 13–10 | 0.01 | 26% | 16 Aug → | |
| dust2 | 15–15 | -0.01 | 42% | 15 Aug → | |
| inferno | 9–3 | 0.25 | 26% | 8 Aug → | |
| anubis | 13–10 | 0.02 | 31% | 7 Aug → | |
| anubis | 13–7 | 0.07 | 22% | 5 Aug → | |
| inferno | 8–8 | 0.05 | 20% | 30 Jul → | |
| cache | 13–9 | 0.04 | 34% | 21 Jun → | |
| poseidon | 8–8 | 0.07 | 39% | 20 Jun → | |
| nuke | 8–8 | 0.05 | 36% | 20 Jun → | |
| poseidon | 9–1 | 0.42 | 35% | 20 Jun → | |
| inferno | 8–8 | 0.14 | 29% | 20 Jun → | |
| mirage | 13–8 | 0.06 | 29% | 14 Jun → | |
| dust2 | 1–8 | -0.10 | 33% | 13 Jun → | |
| dust2 | 14–16 | -0.03 | 17% | 16 May → | |
| dust2 | 13–10 | 0.05 | 45% | 15 May → | |
| dust2 | 10–13 | -0.01 | 35% | 14 May → | |
| ancient | 14–16 | 0.07 | 19% | 13 May → | |
| inferno | 1–13 | -0.06 | 33% | 12 May → | |
| cache | 13–2 | 0.05 | 20% | 11 May → | |
| mirage | 22–18 | 0.06 | 18% | 9 May → | |
| inferno | 9–1 | 0.31 | 30% | 9 May → | |
| inferno | 0–8 | -0.09 | 20% | 7 May → | |
| mirage | 13–10 | 0.08 | 41% | 7 May → | |
| anubis | 13–7 | 0.13 | 20% | 7 May → | |
| cache | 8–13 | 0.01 | 27% | 6 May → | |
| cache | 13–10 | 0.01 | 21% | 6 May → | |
| sanctum | 9–7 | 0.08 | 31% | 5 May → | |
| cache | 10–13 | -0.00 | 30% | 5 May → | |
| cache | 8–13 | -0.04 | 47% | 5 May → | |
| cache | 3–13 | 0.01 | 28% | 2 May → | |
| cache | 13–3 | 0.07 | 26% | 2 May → | |
| cache | 13–9 | 0.05 | 17% | 2 May → | |
| cache | 9–13 | -0.01 | 26% | 1 May → | |
| cache | 13–8 | 0.07 | 28% | 30 Apr → | |
| cache | 4–13 | 0.01 | 15% | 29 Apr → | |
| cache | 12–12 | 0.01 | 33% | 29 Apr → | |
| cache | 12–12 | 0.01 | 30% | 29 Apr → | |
| cache | 12–12 | 0.02 | 29% | 29 Apr → | |
| cache | 13–8 | 0.07 | 43% | 29 Apr → | |
| mirage | 13–10 | -0.04 | 26% | 25 Apr → | |
| overpass | 2–13 | -0.03 | 22% | 23 Apr → | |
| dust2 | 5–13 | -0.01 | 33% | 21 Apr → | |
| mirage | 13–8 | 0.01 | 22% | 19 Apr → | |
| mirage | 13–4 | 0.27 | 30% | 19 Apr → | |
| inferno | 9–4 | 0.20 | 46% | 19 Apr → | |
| mirage | 13–5 | 0.02 | 24% | 17 Apr → | |
| inferno | 7–13 | -0.02 | 21% | 15 Apr → | |
| dust2 | 3–13 | -0.05 | 38% | 15 Apr → | |
| inferno | 3–7 | -0.11 | 14% | 12 Apr → | |
| vertigo | 13–7 | 0.15 | 29% | 8 Apr → | |
| dust2 | 8–13 | 0.03 | 22% | 3 Apr → | |
| anubis | 8–13 | -0.08 | 32% | 29 Mar → | |
| dust2 | 13–10 | -0.01 | 36% | 25 Mar → | |
| nuke | 12–1 | -0.02 | 22% | 18 Mar → | |
| inferno | 4–9 | 0.00 | 29% | 15 Mar → | |
| mirage | 6–13 | -0.06 | 33% | 14 Mar → | |
| ancient | 13–7 | 0.04 | 22% | 8 Mar → | |
| dust2 | 7–13 | 0.06 | 29% | 8 Mar → | |
| inferno | 9–5 | 0.10 | 30% | 1 Mar → | |
| mirage | 13–8 | 0.00 | 33% | 1 Mar → | |
| mirage | 13–11 | 0.03 | 20% | 22 Feb → | |
| mirage | 9–2 | 0.10 | 28% | 21 Feb → | |
| nuke | 1–6 | 0.01 | 46% | 14 Feb → | |
| inferno | 7–13 | 0.03 | 38% | 8 Feb → | |
| ancient | 13–2 | 0.10 | 37% | 8 Feb → | |
| mirage | 13–10 | 0.02 | 43% | 8 Feb → | |
| inferno | 9–5 | 0.07 | 53% | 31 Jan → | |
| dust2 | 13–6 | 0.04 | 25% | 31 Jan → | |
| ancient | 13–2 | 0.07 | 16% | 30 Jan → | |
| sanctum | 9–3 | 0.21 | 28% | 23 Jan → | |
| poseidon | 7–9 | 0.07 | 55% | 23 Jan → | |
| mirage | 12–12 | 0.07 | 27% | 22 Jan → | |
| inferno | 2–9 | -0.01 | 44% | 21 Jan → | |
| inferno | 9–5 | 0.01 | 40% | 21 Jan → | |
| mirage | 13–11 | -0.02 | 28% | 20 Jan → | |
| dust2 | 2–13 | -0.02 | 29% | 20 Jan → | |
| dust2 | 13–11 | 0.09 | 38% | 19 Jan → | |
| dust2 | 13–3 | 0.00 | 38% | 17 Jan → | |
| ancient | 10–13 | 0.00 | 26% | 17 Jan → | |
| mirage | 13–5 | 0.13 | 32% | 17 Jan → | |
| mirage | 2–13 | 0.01 | 32% | 16 Jan → | |
| mirage | 11–12 | -0.02 | 28% | 16 Jan → | |
| mirage | 13–2 | -0.02 | 26% | 16 Jan → | |
| mirage | 9–13 | 0.02 | 23% | 15 Jan → | |
| dust2 | 13–7 | 0.10 | 25% | 15 Jan → | |
| mirage | 5–13 | -0.01 | 64% | 14 Jan → | |
| nuke | 9–13 | -0.01 | 31% | 13 Jan → | |
| inferno | 8–8 | -0.03 | 35% | 12 Jan → | |
| mirage | 13–5 | 0.04 | 46% | 11 Jan → | |
| inferno | 5–1 | 0.06 | 24% | 10 Jan → | |
| dust2 | 13–5 | 0.06 | 21% | 10 Jan → | |
| mirage | 13–6 | 0.09 | 24% | 10 Jan → | |
| dust2 | 13–3 | 0.02 | 23% | 10 Jan → | |
| dust2 | 13–6 | 0.01 | 40% | 8 Jan → | |
| mirage | 13–7 | -0.02 | 30% | 8 Jan → | |
| inferno | 13–7 | 0.02 | 25% | 8 Jan → | |
| dust2 | 13–11 | -0.04 | 30% | 7 Jan → |
Match data via Leetify.
