STARR — CS2 Stats
76561199136578627[U:1:1176312899]✓ 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 | 75.3% | 52.0% |
| Shot accuracy | 8.3% | 13.7% |
| Kill/death ratio | 1.92 | 1.08 |
| Match win rate | 43.0% | 48.8% |
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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 94% playstyle similarity
Most alike: opening-duel success, positioning 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
Aim. Aim score of 85 — the mechanical foundation is a clear strength.
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 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| D | 31 | 10–21 | 32% | 0.01 | |
| A | 22 | 13–9 | 59% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| C | 8 | 3–5 | 38% | 0.04 | |
| S | 6 | 4–2 | 67% | 0.03 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| office | — | 2 | 1–1 | 50% | -0.01 |
| italy | — | 1 | 0–1 | 0% | 0.07 |
| — | 1 | 0–1 | 0% | -0.03 | |
| stronghold | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (32% over 31). Start with the 6 essential Dust 2 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 315 | 51% | 1.14 | 17.4 |
| Inferno | 140 | 45% | 1.13 | 16.1 |
| Dust2 | 133 | 45% | 1.08 | 16.3 |
| Ancient | 126 | 45% | 1.15 | 17.9 |
| Anubis | 120 | 56% | 1.17 | 17.2 |
| Vertigo | 80 | 52% | 1.08 | 17.6 |
| Overpass | 75 | 59% | 1.23 | 17.7 |
| Nuke | 60 | 45% | 1.17 | 17.9 |
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.
32% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.00 | 35% | 29 Aug → | ||
| 13–10 | -0.05 | 28% | 28 Aug → | ||
| 13–3 | 0.00 | 39% | 27 Aug → | ||
| 5–13 | 0.05 | 30% | 27 Aug → | ||
| 7–13 | 0.07 | 19% | 27 Aug → | ||
| 10–13 | 0.03 | 36% | 22 Aug → | ||
| 3–13 | 0.00 | 42% | 21 Aug → | ||
| 13–8 | -0.02 | 30% | 20 Aug → | ||
| 11–13 | 0.07 | 32% | 20 Aug → | ||
| 13–9 | 0.23 | 37% | 20 Aug → | ||
| 13–6 | -0.01 | 35% | 19 Aug → | ||
| 2–13 | 0.02 | 41% | 18 Aug → | ||
| 9–13 | -0.01 | 26% | 18 Aug → | ||
| italy | 7–13 | 0.07 | 26% | 17 Aug → | |
| 13–11 | 0.02 | 29% | 15 Aug → | ||
| 11–8 | -0.03 | 48% | 15 Aug → | ||
| 9–13 | 0.01 | 36% | 15 Aug → | ||
| 12–12 | 0.19 | 32% | 14 Aug → | ||
| 16–12 | 0.08 | 27% | 14 Aug → | ||
| 8–13 | 0.11 | 37% | 14 Aug → | ||
| 11–13 | -0.00 | 23% | 12 Aug → | ||
| 8–13 | -0.01 | 39% | 11 Aug → | ||
| 8–13 | 0.09 | 24% | 10 Aug → | ||
| 13–8 | 0.01 | 21% | 10 Aug → | ||
| 13–11 | 0.09 | 45% | 10 Aug → | ||
| 13–6 | 0.04 | 41% | 10 Aug → | ||
| 13–3 | -0.04 | 31% | 9 Aug → | ||
| 13–2 | 0.10 | 50% | 9 Aug → | ||
| office | 13–6 | 0.03 | 33% | 8 Aug → | |
| 10–13 | 0.01 | 35% | 8 Aug → | ||
| 13–11 | -0.05 | 37% | 7 Aug → | ||
| 5–13 | -0.11 | 10% | 6 Aug → | ||
| 5–13 | -0.03 | 23% | 6 Aug → | ||
| 12–16 | 0.03 | 33% | 5 Aug → | ||
| 8–13 | -0.01 | 34% | 4 Aug → | ||
| 13–2 | 0.06 | 62% | 3 Aug → | ||
| 13–11 | -0.04 | 31% | 3 Aug → | ||
| 9–13 | -0.00 | 28% | 1 Aug → | ||
| 3–13 | -0.07 | 48% | 1 Aug → | ||
| 10–13 | 0.07 | 33% | 1 Aug → | ||
| 13–7 | -0.05 | 34% | 30 Jul → | ||
| 13–8 | 0.00 | 41% | 23 Jul → | ||
| 13–3 | 0.07 | 29% | 22 Jul → | ||
| 5–13 | -0.02 | 46% | 22 Jul → | ||
| 10–13 | 0.03 | 41% | 21 Jul → | ||
| 13–10 | 0.11 | 63% | 21 Jul → | ||
| 13–10 | 0.01 | 35% | 13 Jul → | ||
| 9–13 | 0.03 | 41% | 1 Jul → | ||
| 13–6 | 0.09 | 43% | 1 Jul → | ||
| 14–16 | -0.03 | 30% | 1 Jul → | ||
| 16–12 | 0.01 | 40% | 30 Jun → | ||
| 13–5 | 0.07 | 36% | 29 Jun → | ||
| 13–7 | 0.09 | 29% | 28 Jun → | ||
| 13–9 | -0.04 | 42% | 28 Jun → | ||
| stronghold | 8–13 | 0.02 | 17% | 27 Jun → | |
| 13–4 | 0.04 | 36% | 27 Jun → | ||
| 12–12 | 0.06 | 35% | 25 Jun → | ||
| 13–10 | -0.03 | 18% | 25 Jun → | ||
| 13–11 | -0.01 | 23% | 24 Jun → | ||
| 5–13 | -0.03 | 28% | 23 Jun → | ||
| 13–9 | 0.04 | 32% | 21 Jun → | ||
| 5–13 | -0.05 | 20% | 20 Jun → | ||
| 7–13 | -0.03 | 26% | 20 Jun → | ||
| 9–13 | -0.02 | 15% | 19 Jun → | ||
| 7–13 | 0.00 | 35% | 19 Jun → | ||
| 11–13 | -0.02 | 27% | 17 Jun → | ||
| 7–13 | 0.01 | 42% | 17 Jun → | ||
| 13–11 | 0.04 | 23% | 17 Jun → | ||
| 4–13 | 0.04 | 28% | 17 Jun → | ||
| 13–5 | 0.05 | 31% | 16 Jun → | ||
| office | 7–13 | -0.06 | 44% | 15 Jun → | |
| 11–13 | -0.01 | 55% | 15 Jun → | ||
| 7–13 | 0.04 | 34% | 13 Jun → | ||
| 8–13 | -0.03 | 35% | 12 Jun → | ||
| 13–8 | 0.00 | 33% | 12 Jun → | ||
| 11–13 | 0.07 | 40% | 12 Jun → | ||
| 13–5 | 0.17 | 26% | 10 Jun → | ||
| 9–13 | -0.08 | 40% | 9 Jun → | ||
| 13–7 | 0.06 | 53% | 8 Jun → | ||
| 13–8 | 0.14 | 39% | 8 Jun → | ||
| 13–10 | -0.01 | 36% | 5 Jun → | ||
| 13–11 | 0.01 | 26% | 4 Jun → | ||
| 3–13 | 0.00 | 40% | 3 Jun → | ||
| 0–13 | -0.08 | 22% | 31 May → | ||
| 13–9 | 0.03 | 45% | 31 May → | ||
| 3–13 | -0.10 | 26% | 31 May → | ||
| 13–11 | 0.04 | 23% | 31 May → | ||
| 15–15 | -0.01 | 35% | 30 May → | ||
| 6–13 | 0.03 | 24% | 29 May → | ||
| 13–10 | 0.09 | 29% | 29 May → | ||
| 8–13 | -0.01 | 32% | 28 May → | ||
| 11–13 | 0.05 | 38% | 28 May → | ||
| 13–4 | 0.11 | 23% | 24 May → | ||
| 13–9 | 0.02 | 28% | 23 May → | ||
| 14–16 | -0.02 | 23% | 22 May → | ||
| 13–5 | 0.08 | 17% | 22 May → | ||
| 13–9 | -0.01 | 26% | 22 May → | ||
| 11–13 | -0.03 | 24% | 20 May → | ||
| 8–13 | -0.06 | 38% | 20 May → | ||
| 11–2 | 0.07 | 39% | 20 May → |
Match data via Leetify.