Skrrt — CS2 Stats
76561198334699334[U:1:374433606]Steam profile ↗1 game ban
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 51.3% | 48.1% |
| Shot accuracy | 15.6% | 12.9% |
| Kill/death ratio | 1.14 | 1.08 |
| Match win rate | 45.2% | 46.5% |
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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, opening-duel success.
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
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 55% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
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 (×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 |
|---|---|---|---|---|---|
| B | 34 | 16–18 | 47% | 0.00 | |
| S | 21 | 16–5 | 76% | 0.00 | |
| C | 14 | 6–8 | 43% | 0.01 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| — | 2 | 2–0 | 100% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (43% over 14). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 133 | 50% | 1.03 | 16.7 |
| Ancient | 89 | 51% | 1.06 | 17.2 |
| Dust2 | 85 | 49% | 0.93 | 15.9 |
| Anubis | 68 | 47% | 1.00 | 16.8 |
| Inferno | 58 | 40% | 1.01 | 17.4 |
| Nuke | 37 | 41% | 1.00 | 15.9 |
| Train | 19 | 47% | 0.95 | 16.6 |
| Overpass | 17 | 47% | 1.00 | 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
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 0.4561 — below the 0.5 mark we flag
- 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 38.5921% — 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.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.02 | 17% | 24 Aug → | ||
| 12–12 | 0.02 | 16% | 24 Aug → | ||
| 5–13 | -0.02 | 8% | 15 Aug → | ||
| 13–8 | 0.05 | 16% | 14 Aug → | ||
| 10–13 | -0.01 | 32% | 13 Aug → | ||
| 13–6 | 0.02 | 15% | 13 Aug → | ||
| 13–3 | -0.05 | 14% | 12 Aug → | ||
| 13–2 | 0.04 | 11% | 11 Aug → | ||
| 5–13 | -0.05 | 21% | 11 Aug → | ||
| 1–13 | -0.07 | 10% | 8 Aug → | ||
| 13–7 | 0.00 | 15% | 8 Aug → | ||
| 16–14 | -0.04 | 20% | 6 Aug → | ||
| 13–10 | 0.02 | 21% | 3 Aug → | ||
| 5–13 | -0.05 | 57% | 3 Aug → | ||
| 19–17 | 0.04 | 19% | 3 Aug → | ||
| 13–7 | 0.05 | 14% | 2 Aug → | ||
| 2–13 | -0.06 | 15% | 2 Aug → | ||
| 4–13 | -0.04 | 19% | 2 Aug → | ||
| 8–13 | -0.03 | 14% | 1 Aug → | ||
| 9–13 | -0.08 | 23% | 1 Aug → | ||
| 13–2 | 0.02 | 5% | 1 Aug → | ||
| 14–16 | -0.01 | 10% | 31 Jul → | ||
| 8–13 | -0.02 | 5% | 31 Jul → | ||
| 11–13 | -0.03 | 23% | 30 Jul → | ||
| 13–3 | -0.06 | 12% | 27 Jul → | ||
| 13–9 | 0.04 | 13% | 26 Jul → | ||
| 11–13 | 0.01 | 10% | 26 Jul → | ||
| 13–9 | 0.06 | 14% | 25 Jul → | ||
| 13–9 | 0.01 | 16% | 20 Jul → | ||
| 6–13 | 0.00 | 20% | 20 Jul → | ||
| 13–10 | -0.03 | 5% | 19 Jul → | ||
| 13–5 | -0.03 | 32% | 19 Jul → | ||
| 4–13 | -0.08 | 23% | 19 Jul → | ||
| 13–8 | -0.07 | 19% | 19 Jul → | ||
| 25–22 | -0.01 | 10% | 19 Jul → | ||
| 13–6 | -0.02 | 17% | 18 Jul → | ||
| 20–22 | 0.01 | 12% | 18 Jul → | ||
| 13–9 | 0.00 | 16% | 18 Jul → | ||
| 9–13 | -0.01 | 9% | 18 Jul → | ||
| 13–6 | -0.03 | 6% | 18 Jul → | ||
| 10–13 | -0.03 | 12% | 18 Jul → | ||
| 13–7 | 0.05 | 21% | 18 Jul → | ||
| 8–1 | 0.09 | 71% | 18 Jul → | ||
| 10–13 | -0.05 | 16% | 18 Jul → | ||
| 13–10 | 0.02 | 31% | 15 Jul → | ||
| 11–13 | -0.02 | 19% | 15 Jul → | ||
| 13–6 | -0.05 | 22% | 14 Jul → | ||
| 1–8 | -0.04 | 27% | 14 Jul → | ||
| 10–13 | 0.05 | 15% | 9 Jul → | ||
| 17–19 | -0.02 | 17% | 7 Jul → | ||
| 12–16 | 0.00 | 23% | 6 Jul → | ||
| 13–6 | 0.04 | 15% | 5 Jul → | ||
| 13–7 | 0.01 | 15% | 5 Jul → | ||
| 11–13 | 0.05 | 26% | 5 Jul → | ||
| 13–16 | -0.03 | 12% | 4 Jul → | ||
| 13–1 | -0.03 | 10% | 4 Jul → | ||
| 13–8 | 0.04 | 25% | 4 Jul → | ||
| 5–13 | -0.04 | 26% | 3 Jul → | ||
| 16–14 | -0.00 | 14% | 2 Jul → | ||
| 13–4 | 0.11 | 15% | 1 Jul → | ||
| 11–13 | -0.01 | 10% | 30 Jun → | ||
| 13–7 | -0.02 | 17% | 30 Jun → | ||
| 7–13 | -0.03 | 21% | 30 Jun → | ||
| 13–5 | 0.01 | 14% | 21 Jun → | ||
| 13–11 | 0.05 | 19% | 21 Jun → | ||
| 4–13 | -0.05 | 19% | 21 Jun → | ||
| 13–6 | 0.06 | 14% | 21 Jun → | ||
| 9–4 | 0.08 | 10% | 20 Jun → | ||
| 9–1 | 0.21 | 19% | 20 Jun → | ||
| 13–8 | 0.03 | 24% | 20 Jun → | ||
| 13–5 | 0.08 | 24% | 18 Jun → | ||
| 13–1 | -0.05 | 15% | 18 Jun → | ||
| 13–4 | 0.01 | 23% | 16 Jun → | ||
| 6–13 | -0.08 | 8% | 16 Jun → | ||
| 13–6 | 0.01 | 18% | 15 Jun → | ||
| 13–11 | -0.00 | 24% | 15 Jun → | ||
| 10–13 | -0.01 | 16% | 12 Jun → | ||
| 13–4 | 0.01 | 9% | 12 Jun → | ||
| 8–13 | -0.06 | 19% | 12 Jun → | ||
| 11–13 | -0.01 | 9% | 4 Jun → | ||
| 19–17 | -0.01 | 19% | 3 Jun → | ||
| 9–13 | -0.05 | 16% | 3 Jun → | ||
| 13–11 | 0.00 | 17% | 2 Jun → | ||
| 16–14 | -0.04 | 13% | 31 May → | ||
| 13–6 | 0.05 | 26% | 31 May → | ||
| 9–13 | 0.02 | 24% | 31 May → | ||
| 13–4 | 0.08 | 16% | 31 May → | ||
| 8–13 | -0.01 | 28% | 31 May → | ||
| 13–8 | 0.07 | 15% | 31 May → | ||
| 13–6 | 0.03 | 19% | 30 May → | ||
| 13–11 | 0.05 | 11% | 30 May → | ||
| 10–13 | 0.02 | 15% | 30 May → | ||
| 13–11 | 0.04 | 16% | 30 May → | ||
| 13–10 | 0.03 | 29% | 28 May → | ||
| 8–13 | -0.07 | 30% | 28 May → | ||
| 13–3 | 0.18 | 18% | 28 May → | ||
| 13–1 | 0.02 | 15% | 28 May → | ||
| 2–13 | -0.03 | 19% | 28 May → | ||
| 13–7 | 0.08 | 10% | 27 May → | ||
| 8–13 | -0.01 | 25% | 27 May → |
Match data via Leetify.
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