☠️cuteqyo — CS2 Stats
76561198315426916[U:1:355161188]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 45.9% | 52.8% |
| Shot accuracy | 13.3% | 13.7% |
| Kill/death ratio | 1.03 | 1.08 |
| Match win rate | 45.2% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.02 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 ropz 88% playstyle similarity
Most alike: positioning profile, utility contribution.
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 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 642ms 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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
 mirage | C | 25 | 10–15 | 40% | 0.02 |
 dust2 | B | 21 | 10–11 | 48% | 0.02 |
 inferno | C | 14 | 6–8 | 43% | -0.01 |
 nuke | A | 8 | 5–3 | 63% | 0.00 |
 ancient | D | 6 | 1–5 | 17% | 0.01 |
 vertigo | B | 6 | 3–3 | 50% | -0.01 |
 train | D | 6 | 2–4 | 33% | -0.00 |
 cache | — | 4 | 3–1 | 75% | 0.06 |
 anubis | — | 3 | 2–1 | 67% | 0.04 |
| office | — | 2 | 2–0 | 100% | 0.05 |
| poseidon | — | 1 | 1–0 | 100% | 0.17 |
| shelter | — | 1 | 0–1 | 0% | -0.01 |
| boulder | — | 1 | 0–1 | 0% | 0.05 |
| eldorado | — | 1 | 0–1 | 0% | 0.04 |
 overpass | — | 1 | 0–1 | 0% | 0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 358 | 48% | 1.06 | 15.9 |
| Dust2 | 345 | 53% | 1.14 | 15.8 |
| Ancient | 176 | 49% | 1.03 | 15.7 |
| Nuke | 80 | 52% | 1.07 | 16.5 |
| Inferno | 61 | 54% | 1.08 | 16.7 |
| Anubis | 54 | 50% | 1.00 | 14.0 |
| Overpass | 40 | 50% | 0.98 | 15.9 |
| Train | 27 | 52% | 1.03 | 16.0 |
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.
- 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 37.1677% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 16–12 | 0.06 | 16% | 22 Aug → | |
| nuke | 9–5 | -0.10 | 2% | 20 Aug → | |
| dust2 | 9–13 | 0.09 | 14% | 20 Aug → | |
| poseidon | 9–2 | 0.17 | 32% | 20 Aug → | |
| mirage | 6–13 | 0.01 | 23% | 16 Aug → | |
| cache | 13–6 | 0.09 | 19% | 5 Aug → | |
| ancient | 2–10 | -0.07 | 31% | 5 Aug → | |
| vertigo | 5–2 | 0.04 | 36% | 4 Aug → | |
| mirage | 3–13 | -0.08 | 24% | 4 Aug → | |
| dust2 | 3–13 | -0.09 | 6% | 3 Aug → | |
| cache | 8–1 | 0.07 | 18% | 3 Aug → | |
| ancient | 11–13 | 0.01 | 19% | 19 Jul → | |
| dust2 | 5–13 | 0.01 | 20% | 19 Jul → | |
| inferno | 10–0 | 0.06 | 24% | 19 Jul → | |
| mirage | 13–10 | 0.05 | 14% | 11 Jul → | |
| shelter | 5–10 | -0.01 | 29% | 9 Jul → | |
| boulder | 10–13 | 0.05 | 25% | 9 Jul → | |
| eldorado | 7–9 | 0.04 | 16% | 9 Jul → | |
| mirage | 4–13 | 0.03 | 36% | 8 Jul → | |
| inferno | 8–13 | 0.05 | 21% | 8 Jul → | |
| nuke | 9–7 | -0.03 | 12% | 3 Jul → | |
| inferno | 8–8 | -0.07 | 14% | 3 Jul → | |
| inferno | 4–9 | -0.16 | 6% | 3 Jul → | |
| dust2 | 6–6 | -0.04 | 16% | 3 Jul → | |
| cache | 12–12 | 0.02 | 7% | 2 Jul → | |
| inferno | 9–3 | 0.02 | 7% | 30 Jun → | |
| inferno | 13–7 | -0.01 | 21% | 30 Jun → | |
| anubis | 13–10 | 0.10 | 20% | 30 Jun → | |
| mirage | 2–13 | -0.06 | 21% | 30 Jun → | |
| mirage | 13–7 | 0.03 | 22% | 30 Jun → | |
| dust2 | 13–5 | 0.02 | 12% | 30 Jun → | |
| mirage | 13–10 | 0.09 | 18% | 30 Jun → | |
| mirage | 10–13 | -0.04 | 21% | 30 Jun → | |
| nuke | 13–11 | -0.01 | 16% | 30 Jun → | |
| dust2 | 13–5 | -0.02 | 21% | 30 Jun → | |
| cache | 13–9 | 0.04 | 13% | 22 May → | |
| train | 1–13 | -0.01 | 22% | 23 Apr → | |
| train | 13–8 | -0.10 | 12% | 23 Apr → | |
| vertigo | 1–13 | -0.07 | 25% | 11 Apr → | |
| vertigo | 13–9 | -0.03 | 17% | 11 Apr → | |
| dust2 | 7–0 | -0.02 | 24% | 2 Apr → | |
| mirage | 13–8 | 0.06 | 17% | 2 Apr → | |
| mirage | 13–0 | 0.02 | 43% | 2 Apr → | |
| dust2 | 13–9 | -0.01 | 14% | 19 Mar → | |
| mirage | 13–7 | 0.09 | 26% | 15 Mar → | |
| dust2 | 13–6 | 0.07 | 22% | 22 Feb → | |
| nuke | 9–13 | -0.01 | 16% | 19 Feb → | |
| dust2 | 13–0 | 0.08 | 20% | 19 Feb → | |
| nuke | 7–13 | 0.05 | 19% | 19 Feb → | |
| vertigo | 9–13 | 0.04 | 25% | 14 Feb → | |
| inferno | 4–9 | -0.06 | 21% | 31 Jan → | |
| mirage | 14–16 | -0.02 | 18% | 31 Jan → | |
| mirage | 11–13 | 0.02 | 21% | 23 Jan → | |
| inferno | 4–13 | -0.02 | 21% | 15 Jan → | |
| mirage | 14–16 | -0.05 | 14% | 7 Jan → | |
| dust2 | 13–8 | 0.08 | 26% | 7 Jan → | |
| mirage | 3–13 | -0.05 | 16% | 29 Dec → | |
| mirage | 6–13 | 0.06 | 21% | 22 Dec → | |
| ancient | 9–13 | -0.04 | 11% | 19 Dec → | |
| dust2 | 13–16 | -0.02 | 14% | 17 Dec → | |
| inferno | 4–13 | -0.05 | 22% | 12 Dec → | |
| mirage | 13–9 | 0.03 | 11% | 12 Dec → | |
| ancient | 8–13 | 0.06 | 15% | 12 Dec → | |
| inferno | 16–13 | -0.02 | 16% | 6 Dec → | |
| dust2 | 13–9 | 0.06 | 19% | 6 Dec → | |
| train | 5–13 | 0.05 | 12% | 6 Dec → | |
| inferno | 13–9 | 0.10 | 23% | 5 Dec → | |
| dust2 | 13–11 | -0.02 | 23% | 27 Nov → | |
| office | 13–4 | 0.03 | 7% | 27 Nov → | |
| office | 13–4 | 0.07 | 11% | 27 Nov → | |
| ancient | 13–9 | 0.01 | 11% | 13 Nov → | |
| overpass | 11–13 | 0.06 | 29% | 10 Nov → | |
| mirage | 6–13 | -0.01 | 17% | 10 Nov → | |
| mirage | 13–6 | 0.05 | 13% | 8 Nov → | |
| train | 5–13 | -0.02 | 9% | 7 Nov → | |
| dust2 | 2–12 | 0.01 | 14% | 3 Nov → | |
| dust2 | 7–13 | 0.06 | 18% | 2 Nov → | |
| mirage | 13–5 | 0.12 | 17% | 1 Nov → | |
| mirage | 7–13 | 0.07 | 15% | 31 Oct → | |
| dust2 | 4–13 | -0.02 | 16% | 31 Oct → | |
| mirage | 15–15 | -0.01 | 15% | 26 Oct → | |
| vertigo | 6–13 | -0.03 | 13% | 23 Oct → | |
| vertigo | 13–1 | 0.02 | 13% | 23 Oct → | |
| dust2 | 10–13 | 0.05 | 21% | 23 Oct → | |
| dust2 | 13–9 | 0.09 | 21% | 8 Oct → | |
| nuke | 13–11 | 0.16 | 19% | 8 Oct → | |
| mirage | 13–4 | -0.03 | 10% | 8 Oct → | |
| ancient | 4–13 | 0.09 | 20% | 8 Oct → | |
| inferno | 5–13 | -0.01 | 20% | 5 Oct → | |
| dust2 | 8–13 | -0.07 | 20% | 5 Oct → | |
| mirage | 8–13 | 0.07 | 14% | 5 Oct → | |
| train | 7–13 | 0.02 | 44% | 5 Oct → | |
| dust2 | 9–13 | 0.06 | 19% | 1 Oct → | |
| nuke | 13–9 | -0.02 | 14% | 27 Sept → | |
| inferno | 13–6 | -0.04 | 13% | 25 Sept → | |
| anubis | 5–13 | -0.04 | 5% | 9 Sept → | |
| nuke | 7–13 | -0.03 | 13% | 5 Sept → | |
| inferno | 5–13 | 0.00 | 9% | 3 Sept → | |
| mirage | 6–13 | -0.06 | 14% | 2 Sept → | |
| train | 13–4 | 0.05 | 15% | 2 Sept → |
Match data via Leetify.