Meow — CS2 Stats
76561199828513525[U:1:1868247797]
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 42.6% | 40.1% | 41.7% | above |
| Shot accuracy | 0.0% | 7.6% | 8.8% | 8.8% short |
| Kill/death ratio | 0.84 | 0.92 | 0.97 | 0.13 short |
| Match win rate | 34.4% | 42.2% | 43.8% | 9.4% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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 donk 89% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 67% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 580ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 dust2 | B | 63 | 33–30 | 52% | 0.02 |
 cache | C | 34 | 15–19 | 44% | 0.02 |
 mirage | — | 2 | 2–0 | 100% | 0.06 |
 nuke | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
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 |
|---|---|---|---|---|
| Dust2 | 5 | 40% | 1.41 | 19.0 |
| Mirage | 4 | 75% | 0.94 | 13.8 |
| Ancient | 3 | 33% | 0.94 | 18.7 |
| Anubis | 3 | 67% | 1.22 | 14.7 |
| Nuke | 1 | 0% | 1.14 | 16.0 |
| Cache | 1 | 0% | 1.00 | 19.0 |
| Inferno | 1 | 0% | 1.65 | 28.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.027% — below the 15% 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 37.2581% — 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.
44% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 7–5 | -0.04 | 9% | 27 Aug → | |
| cache | 11–13 | -0.02 | 8% | 26 Aug → | |
| cache | 0–6 | 0.02 | 40% | 26 Aug → | |
| dust2 | 13–7 | 0.07 | 13% | 24 Aug → | |
| dust2 | 13–8 | 0.03 | 11% | 24 Aug → | |
| dust2 | 12–12 | 0.10 | 13% | 24 Aug → | |
| dust2 | 13–3 | 0.07 | 13% | 24 Aug → | |
| dust2 | 9–13 | -0.07 | 10% | 24 Aug → | |
| dust2 | 7–13 | -0.04 | 4% | 23 Aug → | |
| dust2 | 11–13 | 0.02 | 9% | 23 Aug → | |
| dust2 | 9–13 | 0.03 | 18% | 23 Aug → | |
| cache | 11–13 | 0.07 | 9% | 23 Aug → | |
| cache | 13–2 | 0.07 | 22% | 23 Aug → | |
| cache | 7–12 | -0.03 | 8% | 23 Aug → | |
| dust2 | 13–8 | -0.04 | 23% | 23 Aug → | |
| cache | 1–13 | 0.07 | 16% | 22 Aug → | |
| cache | 13–6 | -0.03 | 7% | 20 Aug → | |
| dust2 | 13–10 | 0.01 | 13% | 19 Aug → | |
| dust2 | 13–8 | 0.07 | 11% | 18 Aug → | |
| dust2 | 12–12 | 0.03 | 16% | 18 Aug → | |
| dust2 | 12–12 | 0.07 | 10% | 16 Aug → | |
| dust2 | 13–4 | -0.07 | 13% | 16 Aug → | |
| dust2 | 13–11 | 0.01 | 12% | 16 Aug → | |
| dust2 | 13–6 | 0.05 | 8% | 16 Aug → | |
| nuke | 12–12 | -0.01 | 10% | 16 Aug → | |
| mirage | 13–9 | 0.08 | 8% | 15 Aug → | |
| cache | 13–4 | 0.20 | 12% | 15 Aug → | |
| mirage | 13–1 | 0.05 | 13% | 15 Aug → | |
| dust2 | 10–13 | 0.03 | 8% | 15 Aug → | |
| cache | 3–9 | -0.07 | 19% | 15 Aug → | |
| cache | 11–13 | -0.03 | 10% | 15 Aug → | |
| dust2 | 11–13 | 0.04 | 16% | 15 Aug → | |
| dust2 | 12–12 | 0.00 | 14% | 13 Aug → | |
| cache | 13–3 | 0.01 | 9% | 13 Aug → | |
| dust2 | 13–7 | 0.07 | 9% | 13 Aug → | |
| dust2 | 9–13 | 0.00 | 18% | 13 Aug → | |
| dust2 | 10–13 | 0.01 | 16% | 13 Aug → | |
| dust2 | 11–13 | 0.01 | 13% | 9 Aug → | |
| cache | 9–4 | -0.02 | 8% | 9 Aug → | |
| cache | 13–5 | 0.09 | 28% | 8 Aug → | |
| cache | 12–12 | 0.07 | 10% | 5 Aug → | |
| dust2 | 13–5 | 0.03 | 19% | 4 Aug → | |
| dust2 | 13–6 | -0.04 | 20% | 4 Aug → | |
| dust2 | 13–10 | 0.05 | 18% | 2 Aug → | |
| dust2 | 9–13 | 0.03 | 12% | 2 Aug → | |
| dust2 | 13–8 | -0.00 | 10% | 2 Aug → | |
| dust2 | 12–12 | -0.06 | 8% | 1 Aug → | |
| dust2 | 13–4 | -0.07 | 9% | 1 Aug → | |
| dust2 | 13–11 | -0.02 | 12% | 30 Jul → | |
| cache | 13–11 | -0.00 | 14% | 28 Jul → | |
| dust2 | 8–2 | 0.16 | 25% | 28 Jul → | |
| dust2 | 13–6 | -0.03 | 20% | 27 Jul → | |
| cache | 5–13 | 0.01 | 17% | 27 Jul → | |
| dust2 | 11–13 | 0.05 | 16% | 27 Jul → | |
| cache | 12–12 | -0.01 | 14% | 26 Jul → | |
| cache | 7–13 | 0.01 | 11% | 25 Jul → | |
| dust2 | 13–4 | 0.12 | 22% | 24 Jul → | |
| dust2 | 8–3 | 0.12 | 21% | 24 Jul → | |
| dust2 | 8–13 | -0.06 | 11% | 23 Jul → | |
| dust2 | 13–11 | 0.03 | 12% | 22 Jul → | |
| dust2 | 13–7 | 0.06 | 21% | 20 Jul → | |
| dust2 | 13–6 | 0.10 | 16% | 19 Jul → | |
| dust2 | 3–13 | -0.06 | 15% | 19 Jul → | |
| cache | 12–12 | 0.02 | 8% | 19 Jul → | |
| dust2 | 13–7 | 0.06 | 19% | 17 Jul → | |
| cache | 13–6 | 0.01 | 16% | 15 Jul → | |
| cache | 13–6 | -0.05 | 12% | 11 Jul → | |
| dust2 | 10–13 | 0.05 | 15% | 11 Jul → | |
| dust2 | 4–5 | -0.10 | 0% | 11 Jul → | |
| dust2 | 7–13 | 0.01 | 14% | 11 Jul → | |
| cache | 13–6 | 0.10 | 14% | 6 Jul → | |
| cache | 9–13 | 0.06 | 14% | 6 Jul → | |
| cache | 13–10 | 0.04 | 4% | 5 Jul → | |
| cache | 2–13 | -0.08 | 19% | 4 Jul → | |
| cache | 3–13 | 0.06 | 8% | 4 Jul → | |
| dust2 | 13–7 | -0.03 | 13% | 3 Jul → | |
| dust2 | 11–13 | 0.03 | 16% | 27 Jun → | |
| cache | 8–13 | -0.01 | 2% | 27 Jun → | |
| dust2 | 7–13 | -0.05 | 10% | 26 Jun → | |
| dust2 | 13–8 | 0.04 | 17% | 26 Jun → | |
| dust2 | 13–6 | -0.00 | 5% | 25 Jun → | |
| dust2 | 13–3 | 0.03 | 11% | 24 Jun → | |
| dust2 | 6–13 | -0.03 | 19% | 21 Jun → | |
| dust2 | 0–2 | -0.00 | 0% | 19 Jun → | |
| cache | 13–3 | 0.07 | 8% | 17 Jun → | |
| dust2 | 12–12 | 0.06 | 16% | 14 Jun → | |
| cache | 13–2 | 0.07 | 13% | 14 Jun → | |
| dust2 | 13–9 | 0.03 | 16% | 13 Jun → | |
| dust2 | 10–13 | 0.01 | 13% | 13 Jun → | |
| dust2 | 13–5 | 0.07 | 7% | 13 Jun → | |
| dust2 | 2–13 | 0.03 | 17% | 11 Jun → | |
| dust2 | 13–6 | 0.07 | 7% | 11 Jun → | |
| dust2 | 13–10 | 0.11 | 24% | 10 Jun → | |
| dust2 | 9–13 | 0.12 | 15% | 9 Jun → | |
| dust2 | 7–13 | -0.03 | 19% | 9 Jun → | |
| cache | 10–13 | -0.04 | 14% | 9 Jun → | |
| dust2 | 13–8 | 0.07 | 24% | 4 Jun → | |
| cache | 11–13 | 0.03 | 10% | 4 Jun → | |
| cache | 13–4 | 0.00 | 12% | 3 Jun → | |
| cache | 12–12 | -0.01 | 11% | 3 Jun → |
Match data via Leetify.