Rat — CS2 Stats
US76561198018502588[U:1:58236860]Steam profile ↗✓ No bans
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 | 49.1% | 52.8% |
| Shot accuracy | 11.4% | 13.7% |
| Kill/death ratio | 1.31 | 1.08 |
| Match win rate | 50.5% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.05 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 sh1ro 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 64% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 581ms 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 7.0/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 19 | 9–10 | 47% | -0.00 | |
| C | 17 | 6–11 | 35% | -0.01 | |
| B | 15 | 8–7 | 53% | 0.03 | |
| S | 13 | 9–4 | 69% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| S | 9 | 7–2 | 78% | 0.03 | |
| S | 5 | 4–1 | 80% | 0.06 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 3 | 1–2 | 33% | 0.06 | |
| shelter | — | 2 | 2–0 | 100% | 0.09 |
| — | 2 | 1–1 | 50% | 0.09 | |
| office | — | 1 | 0–1 | 0% | 0.09 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 62 | 45% | 1.26 | 19.2 |
| Inferno | 36 | 64% | 1.30 | 16.9 |
| Anubis | 29 | 48% | 1.45 | 17.3 |
| Ancient | 24 | 54% | 1.35 | 21.2 |
| Vertigo | 22 | 55% | 1.41 | 20.5 |
| Nuke | 16 | 50% | 1.53 | 20.2 |
| Dust2 | 7 | 43% | 1.20 | 16.9 |
| Overpass | 5 | 40% | 1.30 | 14.4 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4511 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.02 | 21% | 1 Aug → | ||
| 4–13 | 0.03 | 13% | 1 Aug → | ||
| 15–15 | -0.04 | 21% | 30 Jul → | ||
| 13–9 | 0.02 | 26% | 28 Jul → | ||
| 13–11 | 0.01 | 29% | 28 Jul → | ||
| 16–14 | 0.04 | 25% | 27 Jul → | ||
| office | 12–12 | 0.09 | 27% | 27 Jul → | |
| 4–13 | -0.04 | 14% | 26 Jul → | ||
| shelter | 13–7 | 0.10 | 48% | 26 Jul → | |
| 12–12 | -0.06 | 26% | 26 Jul → | ||
| 13–4 | 0.14 | 15% | 26 Jul → | ||
| 13–6 | 0.19 | 24% | 24 Jul → | ||
| 13–2 | 0.06 | 20% | 24 Jul → | ||
| 13–4 | 0.10 | 25% | 24 Jul → | ||
| 13–10 | 0.00 | 16% | 23 Jul → | ||
| 4–13 | -0.02 | 31% | 17 Jul → | ||
| 4–13 | -0.03 | 23% | 17 Jul → | ||
| 12–12 | 0.09 | 20% | 16 Jul → | ||
| shelter | 13–7 | 0.07 | 31% | 13 Jul → | |
| 12–12 | 0.09 | 22% | 11 Jul → | ||
| 3–13 | 0.11 | 24% | 11 Jul → | ||
| 13–2 | 0.08 | 10% | 5 Jul → | ||
| 12–12 | -0.02 | 16% | 3 Jul → | ||
| 13–9 | -0.02 | 30% | 3 Jul → | ||
| 7–13 | -0.06 | 11% | 2 Jul → | ||
| 13–9 | 0.03 | 26% | 2 Jul → | ||
| 6–13 | 0.02 | 20% | 2 Jul → | ||
| 13–7 | 0.04 | 23% | 27 Jun → | ||
| 13–9 | 0.01 | 31% | 27 Jun → | ||
| 13–11 | 0.03 | 30% | 27 Jun → | ||
| 9–13 | 0.10 | 32% | 11 Jun → | ||
| 13–8 | 0.01 | 19% | 11 Jun → | ||
| 13–7 | -0.00 | 16% | 11 Jun → | ||
| 10–13 | -0.00 | 17% | 9 Jun → | ||
| 13–10 | 0.14 | 23% | 9 Jun → | ||
| 8–13 | -0.07 | 34% | 7 Jun → | ||
| 13–8 | 0.05 | 23% | 7 Jun → | ||
| 13–7 | -0.04 | 17% | 6 Jun → | ||
| 13–8 | 0.03 | 24% | 1 Jun → | ||
| 4–13 | -0.02 | 15% | 1 Jun → | ||
| 10–13 | 0.01 | 23% | 30 May → | ||
| 12–12 | 0.13 | 28% | 30 May → | ||
| 8–13 | -0.00 | 33% | 28 May → | ||
| 13–9 | -0.03 | 14% | 28 May → | ||
| 13–10 | -0.00 | 11% | 25 May → | ||
| 7–13 | -0.08 | 29% | 25 May → | ||
| 10–13 | 0.04 | 19% | 25 May → | ||
| 15–15 | -0.02 | 22% | 23 May → | ||
| 13–6 | -0.00 | 13% | 23 May → | ||
| 13–8 | 0.01 | 29% | 21 May → | ||
| 5–13 | -0.02 | 12% | 21 May → | ||
| 13–5 | 0.06 | 24% | 20 May → | ||
| 14–16 | 0.01 | 20% | 19 May → | ||
| 6–13 | -0.03 | 21% | 19 May → | ||
| 13–2 | -0.00 | 20% | 13 May → | ||
| 11–13 | -0.09 | 13% | 13 May → | ||
| 6–13 | -0.06 | 24% | 12 May → | ||
| 12–16 | -0.03 | 31% | 10 May → | ||
| 7–13 | 0.05 | 22% | 10 May → | ||
| 13–9 | 0.00 | 20% | 10 May → | ||
| 13–4 | 0.11 | 15% | 9 May → | ||
| 13–6 | 0.01 | 19% | 22 Apr → | ||
| 15–15 | 0.01 | 22% | 22 Apr → | ||
| 13–9 | 0.01 | 26% | 22 Apr → | ||
| 13–5 | 0.01 | 20% | 6 Mar → | ||
| 11–13 | 0.01 | 18% | 6 Mar → | ||
| 13–7 | -0.03 | 22% | 26 Feb → | ||
| 13–8 | 0.08 | 27% | 20 Feb → | ||
| 13–9 | 0.01 | 14% | 20 Feb → | ||
| 9–13 | -0.04 | 32% | 10 Feb → | ||
| 13–10 | 0.03 | 20% | 10 Feb → | ||
| 13–7 | 0.00 | 15% | 10 Feb → | ||
| 11–13 | 0.00 | 20% | 9 Feb → | ||
| 16–14 | -0.03 | 21% | 8 Feb → | ||
| 2–9 | -0.04 | 16% | 8 Feb → | ||
| 13–8 | 0.02 | 21% | 7 Feb → | ||
| 9–13 | 0.02 | 30% | 7 Feb → | ||
| 13–10 | 0.03 | 26% | 7 Feb → | ||
| 13–6 | 0.05 | 15% | 6 Feb → | ||
| 13–4 | 0.04 | 26% | 6 Feb → | ||
| 13–4 | 0.02 | 11% | 6 Feb → | ||
| 13–6 | 0.01 | 13% | 4 Feb → | ||
| 13–10 | 0.04 | 27% | 4 Feb → | ||
| 13–1 | 0.05 | 17% | 4 Feb → | ||
| 13–8 | 0.12 | 27% | 3 Feb → | ||
| 7–13 | -0.04 | 22% | 3 Feb → | ||
| 13–11 | 0.03 | 15% | 3 Feb → | ||
| 14–16 | 0.00 | 16% | 3 Feb → | ||
| 11–13 | -0.01 | 21% | 1 Feb → | ||
| 13–9 | -0.05 | 29% | 1 Feb → | ||
| 13–6 | -0.00 | 13% | 1 Feb → | ||
| 13–3 | 0.04 | 24% | 1 Feb → | ||
| 6–13 | -0.03 | 11% | 1 Feb → | ||
| 13–11 | -0.04 | 22% | 1 Feb → | ||
| 13–4 | 0.12 | 15% | 31 Jan → | ||
| 8–13 | 0.04 | 19% | 31 Jan → | ||
| 6–13 | -0.04 | 23% | 31 Jan → | ||
| 5–13 | -0.06 | 13% | 31 Jan → | ||
| 13–5 | 0.12 | 20% | 31 Jan → | ||
| 13–1 | 0.03 | 30% | 31 Jan → |
Match data via Leetify.