꩜ — CS2 Stats
76561198207848028[U:1:247582300]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
T-side openings. Opening success drops from 50% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 636ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 21 | 10–11 | 48% | 0.03 |
 mirage | B | 19 | 9–10 | 47% | 0.03 |
 inferno | A | 16 | 10–6 | 63% | 0.05 |
 ancient | C | 11 | 4–7 | 36% | 0.02 |
 overpass | D | 8 | 1–7 | 13% | 0.03 |
 nuke | S | 6 | 4–2 | 67% | 0.01 |
 anubis | — | 3 | 1–2 | 33% | 0.06 |
| office | — | 3 | 1–2 | 33% | 0.01 |
| poseidon | — | 2 | 1–1 | 50% | 0.11 |
| sanctum | — | 2 | 1–1 | 50% | 0.06 |
| boulder | — | 1 | 0–1 | 0% | -0.07 |
| fachwerk | — | 1 | 1–0 | 100% | 0.02 |
 cache | — | 1 | 0–1 | 0% | -0.01 |
| warden | — | 1 | 1–0 | 100% | 0.10 |
| alpine | — | 1 | 0–1 | 0% | -0.04 |
| stronghold | — | 1 | 0–1 | 0% | -0.05 |
 train | — | 1 | 0–1 | 0% | 0.05 |
 vertigo | — | 1 | 0–1 | 0% | -0.03 |
| italy | — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Overpass 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
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 34.7222% — 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 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 12–16 | -0.07 | 14% | 14 Aug → | |
| boulder | 1–13 | -0.07 | 47% | 17 Jul → | |
| fachwerk | 13–7 | 0.02 | 19% | 17 Jul → | |
| mirage | 16–13 | -0.01 | 19% | 6 Jul → | |
| overpass | 13–10 | 0.13 | 26% | 6 Jul → | |
| nuke | 13–8 | 0.05 | 13% | 6 Jul → | |
| ancient | 15–15 | 0.02 | 19% | 6 Jul → | |
| mirage | 13–10 | 0.05 | 26% | 6 Jul → | |
| inferno | 13–6 | 0.08 | 25% | 6 Jul → | |
| dust2 | 13–2 | 0.02 | 26% | 6 Jul → | |
| ancient | 10–13 | 0.01 | 28% | 1 Jul → | |
| mirage | 13–11 | 0.14 | 20% | 29 Jun → | |
| anubis | 7–13 | 0.02 | 23% | 19 Jun → | |
| inferno | 13–4 | 0.05 | 18% | 11 Jun → | |
| overpass | 14–16 | 0.04 | 33% | 31 May → | |
| dust2 | 10–13 | 0.06 | 22% | 31 May → | |
| dust2 | 8–13 | 0.01 | 31% | 14 May → | |
| inferno | 13–8 | 0.03 | 9% | 10 May → | |
| poseidon | 9–5 | 0.26 | 23% | 7 May → | |
| dust2 | 15–15 | 0.05 | 8% | 7 May → | |
| office | 10–13 | -0.01 | 17% | 1 May → | |
| cache | 2–13 | -0.01 | 13% | 1 May → | |
| inferno | 13–8 | 0.01 | 24% | 26 Apr → | |
| mirage | 5–13 | 0.03 | 20% | 20 Apr → | |
| mirage | 5–13 | 0.09 | 26% | 13 Apr → | |
| nuke | 16–13 | 0.05 | 17% | 11 Apr → | |
| mirage | 9–13 | 0.00 | 19% | 11 Apr → | |
| overpass | 9–13 | 0.07 | 13% | 10 Apr → | |
| dust2 | 13–8 | 0.08 | 28% | 4 Apr → | |
| mirage | 4–13 | 0.01 | 27% | 4 Apr → | |
| mirage | 13–10 | 0.02 | 18% | 29 Mar → | |
| ancient | 8–13 | -0.02 | 27% | 23 Mar → | |
| mirage | 11–13 | -0.04 | 20% | 23 Mar → | |
| overpass | 5–13 | 0.06 | 20% | 22 Mar → | |
| mirage | 13–16 | -0.03 | 21% | 22 Mar → | |
| dust2 | 9–13 | -0.01 | 17% | 21 Mar → | |
| mirage | 13–8 | 0.12 | 26% | 19 Mar → | |
| ancient | 13–9 | 0.03 | 21% | 19 Mar → | |
| anubis | 11–13 | 0.04 | 24% | 13 Mar → | |
| dust2 | 10–13 | 0.04 | 14% | 13 Mar → | |
| mirage | 6–13 | 0.03 | 20% | 6 Mar → | |
| inferno | 12–16 | 0.03 | 24% | 6 Mar → | |
| dust2 | 13–11 | 0.07 | 19% | 6 Mar → | |
| nuke | 10–13 | 0.05 | 20% | 6 Mar → | |
| mirage | 13–4 | 0.10 | 13% | 6 Mar → | |
| anubis | 13–9 | 0.11 | 12% | 1 Mar → | |
| dust2 | 13–10 | 0.06 | 17% | 1 Mar → | |
| inferno | 5–9 | 0.03 | 18% | 27 Feb → | |
| mirage | 13–2 | 0.18 | 28% | 27 Feb → | |
| dust2 | 11–13 | 0.03 | 21% | 27 Feb → | |
| sanctum | 9–5 | 0.07 | 21% | 15 Feb → | |
| mirage | 8–13 | -0.07 | 13% | 15 Feb → | |
| dust2 | 13–7 | 0.00 | 27% | 15 Feb → | |
| inferno | 13–3 | 0.06 | 26% | 7 Feb → | |
| dust2 | 5–13 | -0.01 | 9% | 7 Feb → | |
| mirage | 4–13 | 0.01 | 22% | 4 Feb → | |
| inferno | 3–13 | -0.01 | 7% | 4 Feb → | |
| inferno | 15–15 | -0.01 | 16% | 29 Jan → | |
| ancient | 13–9 | 0.10 | 11% | 25 Jan → | |
| mirage | 16–14 | -0.01 | 10% | 25 Jan → | |
| sanctum | 7–9 | 0.06 | 15% | 25 Jan → | |
| poseidon | 3–9 | -0.04 | 10% | 25 Jan → | |
| dust2 | 9–13 | -0.01 | 17% | 24 Jan → | |
| dust2 | 13–5 | 0.06 | 25% | 24 Jan → | |
| warden | 13–4 | 0.10 | 21% | 23 Jan → | |
| alpine | 5–13 | -0.04 | 21% | 23 Jan → | |
| stronghold | 6–13 | -0.05 | 15% | 23 Jan → | |
| inferno | 13–5 | 0.15 | 17% | 17 Jan → | |
| overpass | 11–13 | 0.03 | 26% | 17 Jan → | |
| dust2 | 3–13 | 0.09 | 32% | 1 Jan → | |
| inferno | 13–10 | 0.08 | 25% | 1 Jan → | |
| office | 10–13 | 0.03 | 30% | 30 Dec → | |
| nuke | 13–7 | -0.03 | 14% | 30 Dec → | |
| overpass | 11–13 | -0.01 | 24% | 30 Dec → | |
| dust2 | 13–10 | 0.08 | 25% | 27 Dec → | |
| overpass | 4–13 | -0.03 | 12% | 27 Dec → | |
| ancient | 13–8 | 0.04 | 24% | 27 Dec → | |
| ancient | 14–16 | -0.02 | 37% | 27 Dec → | |
| dust2 | 13–10 | 0.05 | 34% | 26 Dec → | |
| mirage | 9–2 | 0.01 | 20% | 26 Dec → | |
| office | 13–6 | 0.03 | 18% | 25 Dec → | |
| ancient | 15–15 | 0.03 | 15% | 25 Dec → | |
| inferno | 6–13 | -0.04 | 15% | 25 Dec → | |
| train | 8–13 | 0.05 | 23% | 25 Dec → | |
| dust2 | 13–16 | -0.04 | 31% | 24 Dec → | |
| ancient | 13–5 | 0.08 | 15% | 24 Dec → | |
| inferno | 11–13 | 0.09 | 20% | 24 Dec → | |
| inferno | 16–13 | 0.04 | 20% | 23 Dec → | |
| nuke | 13–3 | -0.00 | 8% | 23 Dec → | |
| overpass | 4–13 | -0.05 | 21% | 23 Dec → | |
| dust2 | 13–6 | -0.01 | 10% | 23 Dec → | |
| inferno | 13–7 | 0.02 | 14% | 23 Dec → | |
| ancient | 1–13 | -0.05 | 23% | 22 Dec → | |
| mirage | 3–13 | 0.02 | 20% | 22 Dec → | |
| vertigo | 5–9 | -0.03 | 24% | 19 Dec → | |
| italy | 0–2 | -0.00 | 50% | 19 Dec → | |
| inferno | 13–2 | 0.10 | 7% | 19 Dec → | |
| ancient | 9–13 | 0.03 | 13% | 19 Dec → | |
| dust2 | 13–7 | 0.06 | 23% | 18 Dec → | |
| dust2 | 11–13 | -0.00 | 13% | 18 Dec → |
Match data via Leetify.