ICANTSTOP — CS2 Stats
76561198448290833[U:1:488025105]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 60.1% | 52.0% |
| Shot accuracy | 15.3% | 13.7% |
| Kill/death ratio | 0.97 | 1.08 |
| Match win rate | 40.3% | 48.8% |
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
High utility contribution
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 ZywOo 91% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Utility. Utility score of 75 — grenade impact well above the norm.
Areas to improve
Reaction time. 656ms 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 6.3/10 (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 |
|---|---|---|---|---|---|
| C | 24 | 10–14 | 42% | 0.03 | |
| B | 17 | 9–8 | 53% | 0.01 | |
| C | 14 | 5–9 | 36% | 0.02 | |
| C | 14 | 5–9 | 36% | 0.03 | |
| C | 13 | 5–8 | 38% | 0.01 | |
| S | 10 | 8–2 | 80% | 0.02 | |
| S | 5 | 4–1 | 80% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Nuke 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 101 | 51% | 1.07 | 16.2 |
| Inferno | 82 | 63% | 1.13 | 17.4 |
| Dust2 | 75 | 51% | 1.15 | 18.0 |
| Nuke | 68 | 54% | 1.16 | 17.7 |
| Ancient | 57 | 40% | 1.01 | 16.4 |
| Overpass | 38 | 42% | 1.14 | 17.3 |
| Train | 27 | 59% | 1.10 | 17.9 |
| Anubis | 25 | 44% | 0.94 | 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.01 | 32% | 19 Mar → | ||
| 10–13 | 0.05 | 33% | 19 Mar → | ||
| 13–7 | 0.02 | 36% | 19 Mar → | ||
| 9–13 | 0.01 | 31% | 19 Mar → | ||
| 6–13 | -0.03 | 43% | 19 Mar → | ||
| 10–13 | 0.01 | 47% | 18 Mar → | ||
| 13–9 | 0.08 | 22% | 18 Mar → | ||
| 13–11 | 0.02 | 25% | 18 Mar → | ||
| 15–19 | 0.03 | 28% | 13 Mar → | ||
| 13–11 | 0.05 | 26% | 6 Mar → | ||
| 7–13 | 0.06 | 40% | 4 Mar → | ||
| 13–11 | -0.06 | 36% | 3 Mar → | ||
| 11–13 | 0.03 | 37% | 22 Feb → | ||
| 7–1 | -0.00 | 22% | 22 Feb → | ||
| 13–4 | 0.12 | 27% | 22 Feb → | ||
| 10–13 | -0.05 | 17% | 22 Feb → | ||
| 13–5 | 0.10 | 38% | 18 Feb → | ||
| 9–13 | 0.08 | 42% | 18 Feb → | ||
| 13–8 | 0.05 | 36% | 17 Feb → | ||
| 10–13 | 0.04 | 27% | 14 Feb → | ||
| 13–2 | 0.15 | 43% | 11 Feb → | ||
| 3–13 | 0.03 | 30% | 4 Feb → | ||
| 4–13 | -0.04 | 22% | 4 Feb → | ||
| 15–15 | -0.02 | 28% | 4 Feb → | ||
| 9–13 | -0.03 | 28% | 3 Feb → | ||
| 13–9 | -0.00 | 14% | 3 Feb → | ||
| 13–8 | 0.04 | 25% | 1 Feb → | ||
| 6–13 | 0.05 | 25% | 1 Feb → | ||
| 13–9 | 0.01 | 25% | 1 Feb → | ||
| 9–13 | 0.11 | 36% | 29 Jan → | ||
| 4–13 | 0.03 | 25% | 25 Jan → | ||
| 2–13 | -0.06 | 32% | 24 Jan → | ||
| 13–10 | 0.03 | 29% | 24 Jan → | ||
| 6–3 | -0.03 | 43% | 24 Jan → | ||
| 13–3 | 0.11 | 45% | 24 Jan → | ||
| 13–6 | -0.02 | 21% | 22 Jan → | ||
| 13–4 | 0.11 | 31% | 18 Jan → | ||
| 13–7 | 0.08 | 33% | 6 Jan → | ||
| 13–6 | 0.04 | 32% | 6 Jan → | ||
| 10–13 | 0.04 | 31% | 28 Dec → | ||
| 7–13 | -0.04 | 18% | 18 Dec → | ||
| 10–13 | -0.00 | 28% | 12 Dec → | ||
| 13–2 | 0.12 | 19% | 12 Dec → | ||
| 11–13 | 0.01 | 23% | 12 Dec → | ||
| 13–16 | 0.00 | 0% | 12 Dec → | ||
| 9–13 | 0.03 | 29% | 8 Dec → | ||
| 13–11 | 0.01 | 20% | 8 Dec → | ||
| 12–16 | -0.00 | 29% | 8 Dec → | ||
| 16–12 | -0.02 | 23% | 8 Dec → | ||
| 10–13 | 0.02 | 16% | 7 Dec → | ||
| 8–13 | 0.02 | 34% | 7 Dec → | ||
| 13–2 | 0.01 | 35% | 6 Dec → | ||
| 13–10 | 0.03 | 21% | 6 Dec → | ||
| 13–11 | -0.01 | 26% | 6 Dec → | ||
| 16–14 | 0.03 | 33% | 6 Dec → | ||
| 13–11 | 0.01 | 34% | 6 Dec → | ||
| 13–7 | 0.03 | 10% | 4 Dec → | ||
| 11–13 | 0.00 | 39% | 2 Dec → | ||
| 13–6 | -0.01 | 35% | 30 Nov → | ||
| 4–13 | -0.09 | 27% | 30 Nov → | ||
| 4–13 | -0.02 | 20% | 29 Nov → | ||
| 9–13 | -0.02 | 21% | 27 Nov → | ||
| 13–11 | -0.04 | 23% | 26 Nov → | ||
| 9–13 | -0.00 | 29% | 26 Nov → | ||
| 8–13 | 0.03 | 33% | 26 Nov → | ||
| 13–9 | 0.06 | 23% | 26 Nov → | ||
| 5–13 | 0.07 | 43% | 25 Nov → | ||
| 8–13 | -0.03 | 35% | 24 Nov → | ||
| 9–13 | -0.03 | 15% | 24 Nov → | ||
| 16–12 | -0.05 | 31% | 24 Nov → | ||
| 13–16 | 0.01 | 29% | 23 Nov → | ||
| 13–7 | 0.02 | 26% | 23 Nov → | ||
| 13–5 | 0.01 | 34% | 23 Nov → | ||
| 13–8 | -0.00 | 29% | 23 Nov → | ||
| 13–8 | 0.06 | 26% | 21 Nov → | ||
| 13–0 | -0.00 | 22% | 21 Nov → | ||
| 12–16 | 0.05 | 27% | 20 Nov → | ||
| 13–8 | -0.01 | 30% | 20 Nov → | ||
| 16–12 | 0.05 | 41% | 20 Nov → | ||
| 13–1 | 0.09 | 37% | 19 Nov → | ||
| 10–13 | -0.05 | 29% | 19 Nov → | ||
| 6–13 | 0.05 | 24% | 17 Nov → | ||
| 5–13 | 0.06 | 33% | 17 Nov → | ||
| 13–4 | 0.04 | 31% | 17 Nov → | ||
| 13–9 | 0.01 | 26% | 16 Nov → | ||
| 10–13 | 0.02 | 33% | 16 Nov → | ||
| 13–6 | -0.01 | 34% | 14 Nov → | ||
| 3–13 | -0.03 | 34% | 13 Nov → | ||
| 6–13 | 0.00 | 18% | 13 Nov → | ||
| 13–9 | -0.01 | 35% | 13 Nov → | ||
| 7–13 | -0.03 | 35% | 11 Nov → | ||
| 9–13 | -0.02 | 38% | 9 Nov → | ||
| 13–10 | 0.00 | 35% | 9 Nov → | ||
| 14–16 | 0.04 | 31% | 9 Nov → | ||
| 13–10 | 0.08 | 39% | 9 Nov → | ||
| 14–16 | 0.02 | 29% | 9 Nov → | ||
| 13–3 | 0.12 | 41% | 9 Nov → | ||
| 7–13 | -0.06 | 45% | 8 Nov → | ||
| 7–13 | -0.02 | 33% | 8 Nov → | ||
| 7–13 | 0.01 | 36% | 8 Nov → |
Match data via Leetify.
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