JCs — CS2 Stats
GB76561198079579243[U:1:119313515]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 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 jL 92% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 ancient | A | 22 | 12–10 | 55% | 0.02 |
 anubis | D | 18 | 6–12 | 33% | 0.02 |
 nuke | B | 14 | 7–7 | 50% | 0.01 |
 cache | A | 12 | 7–5 | 58% | 0.04 |
 overpass | S | 9 | 6–3 | 67% | 0.01 |
 inferno | A | 8 | 5–3 | 63% | 0.02 |
 dust2 | D | 7 | 2–5 | 29% | 0.04 |
 mirage | S | 5 | 4–1 | 80% | 0.02 |
| office | — | 2 | 1–1 | 50% | 0.04 |
| fachwerk | — | 1 | 0–1 | 0% | -0.02 |
| shelter | — | 1 | 1–0 | 100% | 0.12 |
 vertigo | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 149 | 57% | 1.24 | 17.5 |
| Ancient | 140 | 50% | 1.25 | 18.6 |
| Inferno | 72 | 53% | 1.25 | 17.2 |
| Nuke | 67 | 37% | 1.12 | 16.8 |
| Overpass | 50 | 56% | 1.29 | 18.0 |
| Cache | 29 | 48% | 1.39 | 17.8 |
| Mirage | 14 | 43% | 0.97 | 16.9 |
| Dust2 | 5 | 60% | 1.50 | 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 0.4428 — 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 36.7452% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–9 | 0.04 | 15% | 29 Aug → | |
| dust2 | 11–13 | 0.04 | 9% | 29 Aug → | |
| inferno | 11–13 | 0.04 | 23% | 29 Aug → | |
| ancient | 13–8 | 0.09 | 14% | 27 Aug → | |
| anubis | 13–7 | 0.17 | 16% | 27 Aug → | |
| dust2 | 10–13 | -0.00 | 16% | 27 Aug → | |
| ancient | 13–8 | 0.03 | 8% | 27 Aug → | |
| nuke | 13–10 | -0.05 | 14% | 27 Aug → | |
| inferno | 13–7 | 0.03 | 21% | 27 Aug → | |
| ancient | 13–6 | 0.08 | 22% | 27 Aug → | |
| anubis | 10–13 | 0.01 | 8% | 24 Aug → | |
| ancient | 13–4 | 0.05 | 14% | 22 Aug → | |
| office | 13–9 | 0.04 | 28% | 22 Aug → | |
| nuke | 5–1 | 0.18 | 32% | 22 Aug → | |
| ancient | 13–10 | -0.02 | 12% | 21 Aug → | |
| inferno | 10–13 | -0.05 | 11% | 21 Aug → | |
| nuke | 3–13 | -0.03 | 13% | 19 Aug → | |
| anubis | 13–5 | 0.03 | 13% | 18 Aug → | |
| ancient | 11–13 | 0.04 | 20% | 18 Aug → | |
| mirage | 13–11 | 0.11 | 8% | 17 Aug → | |
| office | 9–13 | 0.03 | 22% | 17 Aug → | |
| fachwerk | 9–13 | -0.02 | 13% | 16 Aug → | |
| shelter | 13–6 | 0.12 | 21% | 16 Aug → | |
| cache | 4–13 | 0.08 | 16% | 16 Aug → | |
| cache | 16–14 | 0.04 | 18% | 15 Aug → | |
| anubis | 13–10 | 0.10 | 9% | 15 Aug → | |
| ancient | 9–13 | -0.03 | 13% | 15 Aug → | |
| anubis | 10–13 | 0.10 | 15% | 15 Aug → | |
| dust2 | 9–13 | 0.14 | 19% | 15 Aug → | |
| cache | 9–13 | -0.01 | 22% | 11 Aug → | |
| cache | 10–13 | 0.03 | 7% | 11 Aug → | |
| inferno | 9–13 | 0.10 | 16% | 8 Aug → | |
| mirage | 10–13 | 0.04 | 19% | 6 Aug → | |
| dust2 | 11–3 | 0.03 | 22% | 6 Aug → | |
| anubis | 10–13 | 0.00 | 9% | 4 Aug → | |
| nuke | 9–13 | -0.04 | 22% | 4 Aug → | |
| dust2 | 2–13 | -0.00 | 21% | 2 Aug → | |
| nuke | 0–13 | -0.03 | 21% | 2 Aug → | |
| cache | 13–7 | 0.03 | 11% | 30 Jul → | |
| vertigo | 10–13 | -0.03 | 21% | 29 Jul → | |
| anubis | 13–8 | 0.01 | 12% | 26 Jul → | |
| inferno | 13–3 | 0.03 | 33% | 26 Jul → | |
| cache | 13–16 | -0.07 | 11% | 26 Jul → | |
| cache | 13–5 | 0.07 | 7% | 24 Jul → | |
| ancient | 16–14 | 0.04 | 14% | 24 Jul → | |
| cache | 13–5 | 0.06 | 20% | 24 Jul → | |
| nuke | 13–11 | 0.04 | 19% | 23 Jul → | |
| ancient | 13–10 | 0.01 | 14% | 21 Jul → | |
| overpass | 8–13 | -0.01 | 18% | 25 Jun → | |
| cache | 8–13 | 0.01 | 10% | 18 Jun → | |
| anubis | 9–13 | -0.03 | 9% | 12 Jun → | |
| inferno | 13–11 | 0.04 | 18% | 9 Jun → | |
| nuke | 5–13 | -0.02 | 20% | 6 Jun → | |
| overpass | 11–13 | 0.05 | 12% | 6 Jun → | |
| cache | 13–11 | 0.01 | 6% | 5 Jun → | |
| overpass | 6–13 | -0.03 | 24% | 5 Jun → | |
| nuke | 4–13 | -0.00 | 8% | 4 Jun → | |
| anubis | 7–13 | -0.04 | 14% | 5 May → | |
| cache | 13–4 | 0.12 | 17% | 30 Apr → | |
| cache | 13–5 | 0.06 | 18% | 30 Apr → | |
| nuke | 9–13 | -0.01 | 9% | 23 Apr → | |
| overpass | 13–2 | -0.02 | 28% | 23 Apr → | |
| nuke | 16–14 | -0.02 | 16% | 20 Mar → | |
| anubis | 9–13 | -0.06 | 6% | 17 Mar → | |
| nuke | 13–11 | 0.04 | 25% | 12 Mar → | |
| anubis | 17–19 | 0.01 | 16% | 26 Feb → | |
| anubis | 6–13 | -0.01 | 14% | 26 Feb → | |
| ancient | 11–13 | 0.07 | 19% | 26 Feb → | |
| inferno | 13–10 | -0.01 | 10% | 26 Feb → | |
| overpass | 13–7 | -0.00 | 20% | 10 Feb → | |
| anubis | 13–10 | 0.04 | 20% | 10 Feb → | |
| ancient | 9–13 | -0.03 | 19% | 10 Feb → | |
| overpass | 13–10 | 0.12 | 20% | 7 Feb → | |
| anubis | 8–13 | -0.03 | 9% | 5 Feb → | |
| ancient | 13–10 | 0.01 | 19% | 2 Feb → | |
| dust2 | 4–13 | 0.01 | 11% | 30 Jan → | |
| ancient | 8–13 | -0.03 | 12% | 27 Jan → | |
| overpass | 13–8 | -0.01 | 11% | 26 Jan → | |
| mirage | 13–3 | -0.04 | 8% | 26 Jan → | |
| nuke | 9–4 | 0.01 | 8% | 26 Jan → | |
| anubis | 13–16 | 0.02 | 10% | 22 Jan → | |
| anubis | 6–13 | 0.05 | 13% | 22 Jan → | |
| overpass | 13–7 | -0.01 | 19% | 20 Jan → | |
| anubis | 13–9 | -0.03 | 21% | 20 Jan → | |
| anubis | 12–12 | -0.02 | 19% | 11 Jan → | |
| ancient | 11–13 | 0.00 | 20% | 9 Jan → | |
| ancient | 5–13 | 0.06 | 27% | 7 Jan → | |
| mirage | 13–10 | 0.03 | 15% | 7 Jan → | |
| ancient | 13–6 | 0.05 | 12% | 6 Jan → | |
| inferno | 13–10 | 0.00 | 7% | 6 Jan → | |
| ancient | 6–13 | 0.01 | 17% | 6 Jan → | |
| ancient | 13–9 | 0.02 | 15% | 4 Jan → | |
| nuke | 17–19 | 0.02 | 13% | 4 Jan → | |
| ancient | 9–13 | 0.01 | 20% | 23 Dec → | |
| ancient | 13–16 | -0.01 | 11% | 18 Dec → | |
| nuke | 13–9 | 0.06 | 19% | 15 Dec → | |
| mirage | 13–3 | -0.05 | 8% | 15 Dec → | |
| ancient | 13–11 | -0.00 | 18% | 12 Dec → | |
| overpass | 16–13 | -0.01 | 17% | 12 Dec → | |
| ancient | 13–3 | 0.06 | 23% | 12 Dec → |
Match data via Leetify.