𐂃𐂃 — CS2 Stats
76561198406492063[U:1:446226335]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 49.3% | 47.2% | 49.9% | meets |
| Shot accuracy | 13.6% | 12.7% | 13.4% | meets |
| Kill/death ratio | 1.13 | 1.09 | 1.12 | meets |
| Match win rate | 50.2% | 46.6% | 48.4% | above |
Across every metric we can compare, this profile already matches the typical Red band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.04 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 91% playstyle similarity
Most alike: opening-fight frequency, 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
T-side openings. Opening success drops from 59% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 608ms 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 (×1.02 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 | 38 | 20–18 | 53% | 0.03 | |
| S | 22 | 15–7 | 68% | 0.05 | |
| S | 17 | 13–4 | 76% | 0.06 | |
| C | 14 | 6–8 | 43% | 0.02 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 3 | 1–2 | 33% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 40 | 52% | 1.20 | 16.6 |
| Ancient | 22 | 50% | 1.21 | 18.1 |
| Dust2 | 19 | 58% | 1.49 | 22.1 |
| Inferno | 11 | 45% | 1.20 | 17.3 |
| Anubis | 5 | 60% | 1.23 | 17.2 |
| Nuke | 4 | 50% | 1.06 | 18.0 |
| Train | 1 | 100% | 1.14 | 24.0 |
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.
- 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 32.3079% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.04 | 14% | 5 May → | ||
| 13–5 | 0.07 | 23% | 5 May → | ||
| 13–9 | -0.04 | 4% | 23 Apr → | ||
| 5–13 | 0.04 | 14% | 22 Apr → | ||
| 11–13 | 0.04 | 14% | 22 Apr → | ||
| 16–13 | 0.09 | 12% | 22 Apr → | ||
| 11–13 | 0.01 | 17% | 22 Apr → | ||
| 13–1 | 0.16 | 16% | 21 Apr → | ||
| 13–7 | -0.02 | 14% | 21 Apr → | ||
| 13–8 | 0.07 | 15% | 21 Apr → | ||
| 6–13 | 0.02 | 12% | 21 Apr → | ||
| 8–13 | -0.08 | 18% | 20 Apr → | ||
| 13–11 | -0.03 | 25% | 20 Apr → | ||
| 13–11 | 0.05 | 23% | 19 Apr → | ||
| 5–13 | 0.02 | 13% | 19 Apr → | ||
| 13–7 | 0.11 | 22% | 16 Apr → | ||
| 6–13 | -0.00 | 31% | 16 Apr → | ||
| 8–13 | -0.03 | 33% | 14 Apr → | ||
| 5–13 | -0.02 | 23% | 14 Apr → | ||
| 12–16 | -0.05 | 18% | 14 Apr → | ||
| 10–13 | -0.00 | 15% | 9 Apr → | ||
| 15–15 | 0.02 | 15% | 9 Apr → | ||
| 13–8 | 0.01 | 4% | 9 Apr → | ||
| 15–15 | 0.08 | 16% | 8 Apr → | ||
| 12–16 | -0.05 | 25% | 8 Apr → | ||
| 13–3 | 0.05 | 22% | 8 Apr → | ||
| 13–11 | 0.02 | 17% | 7 Apr → | ||
| 16–13 | 0.10 | 14% | 30 Mar → | ||
| 8–13 | 0.03 | 10% | 30 Mar → | ||
| 13–7 | 0.13 | 24% | 30 Mar → | ||
| 13–10 | 0.08 | 34% | 26 Mar → | ||
| 13–6 | 0.09 | 18% | 25 Mar → | ||
| 13–8 | 0.04 | 15% | 25 Mar → | ||
| 13–7 | 0.06 | 16% | 24 Mar → | ||
| 10–13 | -0.06 | 7% | 24 Mar → | ||
| 11–13 | -0.06 | 23% | 22 Mar → | ||
| 13–11 | 0.04 | 15% | 22 Mar → | ||
| 13–9 | 0.03 | 14% | 22 Mar → | ||
| 15–15 | 0.04 | 17% | 22 Mar → | ||
| 9–13 | -0.01 | 18% | 22 Mar → | ||
| 13–2 | 0.10 | 22% | 22 Mar → | ||
| 3–13 | 0.03 | 24% | 19 Mar → | ||
| 13–3 | 0.15 | 29% | 19 Mar → | ||
| 11–13 | 0.03 | 14% | 19 Mar → | ||
| 13–7 | 0.05 | 14% | 19 Mar → | ||
| 13–10 | 0.01 | 11% | 18 Mar → | ||
| 8–13 | 0.01 | 15% | 18 Mar → | ||
| 13–5 | 0.11 | 12% | 18 Mar → | ||
| 8–13 | -0.01 | 13% | 17 Mar → | ||
| 6–13 | -0.05 | 9% | 17 Mar → | ||
| 13–2 | 0.08 | 11% | 16 Mar → | ||
| 13–10 | 0.02 | 29% | 16 Mar → | ||
| 13–6 | 0.14 | 24% | 15 Mar → | ||
| 13–6 | 0.16 | 63% | 15 Mar → | ||
| 16–13 | 0.07 | 19% | 15 Mar → | ||
| 7–13 | -0.00 | 16% | 15 Mar → | ||
| 6–13 | 0.05 | 8% | 15 Mar → | ||
| 16–12 | 0.01 | 13% | 15 Mar → | ||
| 15–15 | -0.03 | 11% | 14 Mar → | ||
| 13–7 | 0.05 | 11% | 14 Mar → | ||
| 8–13 | 0.00 | 10% | 14 Mar → | ||
| 13–11 | 0.06 | 20% | 14 Mar → | ||
| 13–7 | -0.01 | 16% | 13 Mar → | ||
| 9–13 | -0.01 | 14% | 13 Mar → | ||
| 13–16 | -0.06 | 14% | 13 Mar → | ||
| 13–6 | 0.08 | 15% | 13 Mar → | ||
| 6–13 | -0.00 | 9% | 13 Mar → | ||
| 11–13 | 0.01 | 13% | 12 Mar → | ||
| 13–4 | 0.07 | 19% | 12 Mar → | ||
| 13–3 | 0.11 | 32% | 12 Mar → | ||
| 1–13 | -0.04 | 11% | 11 Mar → | ||
| 16–13 | 0.13 | 18% | 11 Mar → | ||
| 8–13 | -0.02 | 10% | 11 Mar → | ||
| 13–3 | 0.19 | 27% | 10 Mar → | ||
| 9–4 | 0.07 | 29% | 10 Mar → | ||
| 6–1 | -0.03 | 31% | 10 Mar → | ||
| 13–1 | 0.06 | 18% | 10 Mar → | ||
| 13–4 | 0.08 | 18% | 10 Mar → | ||
| 13–8 | 0.02 | 9% | 9 Mar → | ||
| 16–13 | 0.07 | 23% | 8 Mar → | ||
| 11–13 | 0.01 | 11% | 8 Mar → | ||
| 8–13 | -0.06 | 27% | 8 Mar → | ||
| 9–13 | -0.02 | 13% | 28 Feb → | ||
| 13–11 | 0.01 | 19% | 28 Feb → | ||
| 13–11 | -0.04 | 14% | 12 Feb → | ||
| 13–9 | 0.05 | 12% | 11 Feb → | ||
| 13–4 | 0.22 | 36% | 11 Feb → | ||
| 13–4 | 0.20 | 19% | 11 Feb → | ||
| 13–4 | 0.10 | 23% | 11 Feb → | ||
| 13–9 | 0.01 | 17% | 13 Jan → | ||
| 13–9 | 0.04 | 14% | 11 Jan → | ||
| 6–13 | -0.01 | 25% | 8 Jan → | ||
| 5–13 | -0.02 | 13% | 8 Jan → | ||
| 7–13 | 0.00 | 28% | 7 Jan → | ||
| 13–11 | 0.06 | 19% | 4 Jan → | ||
| 13–4 | 0.05 | 27% | 4 Jan → | ||
| 20–22 | 0.01 | 17% | 2 Jan → | ||
| 8–13 | 0.05 | 16% | 31 Dec → | ||
| 13–3 | 0.01 | 13% | 31 Dec → | ||
| 13–5 | 0.05 | 21% | 31 Dec → |
Match data via Leetify.