r1sky — CS2 Stats
76561198151663296[U:1:191397568]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 58.0% | 44.9% | 46.2% | above |
| Shot accuracy | 11.4% | 11.8% | 12.5% | 1.1% short |
| Kill/death ratio | 1.49 | 1.04 | 1.06 | above |
| Match win rate | 39.8% | 45.3% | 45.9% | 6.1% short |
This profile matches the typical Level 7 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 90% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Reaction time. 591ms 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 (×1.02 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 |
|---|---|---|---|---|---|
 cache | A | 20 | 12–8 | 60% | 0.06 |
 inferno | D | 17 | 5–12 | 29% | 0.08 |
 nuke | B | 13 | 6–7 | 46% | 0.05 |
 mirage | B | 12 | 6–6 | 50% | 0.05 |
 dust2 | C | 9 | 4–5 | 44% | 0.06 |
 anubis | B | 8 | 4–4 | 50% | 0.02 |
 ancient | D | 6 | 2–4 | 33% | 0.05 |
 train | B | 6 | 3–3 | 50% | 0.13 |
 overpass | S | 5 | 5–0 | 100% | 0.12 |
 vertigo | — | 3 | 0–3 | 0% | 0.05 |
| shelter | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 21 | 76% | 1.53 | 17.9 |
| Anubis | 11 | 45% | 1.90 | 21.4 |
| Ancient | 8 | 88% | 1.56 | 17.6 |
| Inferno | 7 | 57% | 1.21 | 16.6 |
| Dust2 | 6 | 50% | 1.23 | 15.7 |
| Nuke | 3 | 67% | 1.24 | 24.3 |
| Cache | 1 | 100% | 1.82 | 20.0 |
| Train | 1 | 100% | 3.80 | 19.0 |
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 30.4073% — 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 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 3–11 | 0.15 | 20% | 12 Jul → | |
| shelter | 13–8 | 0.07 | 12% | 9 Jul → | |
| inferno | 10–13 | -0.03 | 13% | 3 Jul → | |
| ancient | 10–13 | 0.01 | 11% | 3 Jul → | |
| cache | 10–13 | 0.09 | 13% | 3 Jul → | |
| overpass | 16–14 | -0.06 | 12% | 1 Jul → | |
| dust2 | 12–16 | -0.06 | 17% | 1 Jul → | |
| ancient | 16–13 | 0.05 | 14% | 1 Jul → | |
| cache | 5–13 | -0.02 | 33% | 30 Jun → | |
| dust2 | 13–10 | 0.14 | 18% | 30 Jun → | |
| mirage | 8–13 | 0.02 | 12% | 30 Jun → | |
| inferno | 6–8 | 0.17 | 28% | 30 Jun → | |
| mirage | 16–14 | -0.03 | 13% | 29 Jun → | |
| inferno | 15–15 | 0.03 | 17% | 29 Jun → | |
| anubis | 11–13 | -0.03 | 17% | 29 Jun → | |
| nuke | 9–5 | 0.06 | 11% | 28 Jun → | |
| inferno | 13–9 | 0.15 | 8% | 28 Jun → | |
| cache | 2–13 | 0.06 | 21% | 28 Jun → | |
| mirage | 7–13 | 0.12 | 30% | 28 Jun → | |
| anubis | 6–13 | -0.06 | 39% | 27 Jun → | |
| inferno | 5–13 | 0.02 | 22% | 26 Jun → | |
| cache | 13–9 | -0.04 | 24% | 25 Jun → | |
| anubis | 11–13 | 0.05 | 17% | 24 Jun → | |
| inferno | 6–13 | 0.14 | 24% | 24 Jun → | |
| train | 13–4 | 0.19 | 38% | 24 Jun → | |
| nuke | 9–13 | 0.14 | 20% | 24 Jun → | |
| mirage | 5–13 | 0.02 | 23% | 24 Jun → | |
| cache | 12–12 | 0.07 | 16% | 15 Jun → | |
| nuke | 10–13 | 0.05 | 19% | 15 Jun → | |
| mirage | 13–2 | 0.15 | 21% | 14 Jun → | |
| anubis | 13–10 | -0.01 | 22% | 14 Jun → | |
| ancient | 5–13 | 0.02 | 20% | 14 Jun → | |
| cache | 13–11 | 0.09 | 15% | 12 Jun → | |
| train | 12–12 | 0.04 | 16% | 12 Jun → | |
| cache | 11–13 | 0.03 | 13% | 12 Jun → | |
| nuke | 13–10 | -0.03 | 7% | 12 Jun → | |
| inferno | 13–9 | 0.12 | 31% | 12 Jun → | |
| nuke | 13–11 | 0.07 | 11% | 12 Jun → | |
| inferno | 6–13 | -0.03 | 15% | 12 Jun → | |
| nuke | 7–13 | 0.01 | 21% | 12 Jun → | |
| dust2 | 13–8 | 0.01 | 21% | 11 Jun → | |
| mirage | 13–11 | -0.01 | 14% | 11 Jun → | |
| nuke | 13–7 | 0.06 | 18% | 11 Jun → | |
| mirage | 10–13 | -0.01 | 17% | 10 Jun → | |
| ancient | 10–13 | 0.02 | 22% | 10 Jun → | |
| train | 6–13 | 0.03 | 31% | 10 Jun → | |
| anubis | 13–5 | 0.03 | 18% | 10 Jun → | |
| dust2 | 9–13 | 0.02 | 18% | 9 Jun → | |
| cache | 13–4 | 0.03 | 21% | 9 Jun → | |
| nuke | 12–12 | 0.12 | 14% | 9 Jun → | |
| vertigo | 4–13 | 0.10 | 26% | 9 Jun → | |
| mirage | 13–10 | 0.14 | 27% | 8 Jun → | |
| inferno | 13–4 | 0.15 | 13% | 8 Jun → | |
| train | 13–6 | 0.24 | 22% | 8 Jun → | |
| cache | 13–6 | 0.05 | 12% | 8 Jun → | |
| overpass | 13–8 | 0.06 | 25% | 8 Jun → | |
| nuke | 13–9 | 0.12 | 23% | 8 Jun → | |
| anubis | 13–6 | -0.02 | 12% | 8 Jun → | |
| cache | 4–13 | 0.10 | 31% | 7 Jun → | |
| ancient | 7–13 | 0.09 | 24% | 7 Jun → | |
| train | 6–13 | 0.12 | 22% | 5 Jun → | |
| overpass | 7–6 | 0.22 | 34% | 5 Jun → | |
| nuke | 2–13 | 0.03 | 26% | 5 Jun → | |
| cache | 13–1 | 0.03 | 24% | 5 Jun → | |
| dust2 | 9–13 | -0.06 | 18% | 5 Jun → | |
| dust2 | 12–12 | 0.14 | 24% | 3 Jun → | |
| cache | 13–10 | 0.04 | 17% | 3 Jun → | |
| nuke | 10–13 | 0.04 | 13% | 3 Jun → | |
| vertigo | 6–13 | 0.05 | 18% | 3 Jun → | |
| dust2 | 3–9 | 0.08 | 18% | 3 Jun → | |
| mirage | 8–13 | -0.01 | 34% | 3 Jun → | |
| inferno | 10–13 | 0.14 | 9% | 29 May → | |
| nuke | 6–13 | -0.09 | 10% | 29 May → | |
| inferno | 9–13 | 0.11 | 15% | 27 May → | |
| ancient | 13–8 | 0.08 | 20% | 27 May → | |
| dust2 | 13–8 | 0.12 | 13% | 27 May → | |
| anubis | 3–13 | 0.07 | 16% | 27 May → | |
| mirage | 13–5 | 0.04 | 28% | 26 May → | |
| inferno | 13–9 | 0.09 | 21% | 24 May → | |
| cache | 6–13 | -0.01 | 17% | 24 May → | |
| mirage | 13–8 | -0.02 | 16% | 23 May → | |
| inferno | 16–13 | -0.06 | 7% | 23 May → | |
| mirage | 12–12 | 0.15 | 22% | 21 May → | |
| inferno | 10–13 | 0.05 | 16% | 21 May → | |
| nuke | 13–5 | 0.07 | 16% | 19 May → | |
| overpass | 13–6 | 0.10 | 11% | 19 May → | |
| cache | 7–13 | 0.05 | 16% | 18 May → | |
| vertigo | 12–12 | 0.01 | 25% | 15 May → | |
| anubis | 13–6 | 0.09 | 30% | 15 May → | |
| cache | 13–9 | 0.22 | 29% | 15 May → | |
| dust2 | 13–11 | 0.16 | 16% | 14 May → | |
| cache | 13–8 | 0.11 | 26% | 14 May → | |
| train | 13–7 | 0.16 | 27% | 13 May → | |
| cache | 13–9 | 0.07 | 24% | 13 May → | |
| inferno | 6–13 | 0.11 | 24% | 7 May → | |
| inferno | 5–13 | 0.07 | 26% | 6 May → | |
| overpass | 13–11 | 0.26 | 23% | 6 May → | |
| cache | 13–4 | 0.15 | 21% | 6 May → | |
| cache | 11–3 | 0.08 | 29% | 2 May → | |
| cache | 13–10 | 0.11 | 14% | 2 May → |
Match data via Leetify.
