Flash-Chan — CS2 Stats
AR76561198291024433[U:1:330758705]Steam profile ↗
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 | vs Pink band |
|---|---|---|---|
| Headshot rate | 46.7% | 48.1% | 1.4% short |
| Shot accuracy | 5.7% | 12.9% | 7.2% short |
| Kill/death ratio | 0.97 | 1.08 | 0.11 short |
| Match win rate | 46.4% | 46.5% | meets |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink 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: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 86% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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
Reaction time. 589ms 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 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 31 | 18–13 | 58% | -0.00 | |
| B | 28 | 13–15 | 46% | -0.00 | |
| C | 13 | 5–8 | 38% | 0.03 | |
| S | 11 | 8–3 | 73% | 0.03 | |
| C | 8 | 3–5 | 38% | 0.00 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| office | — | 1 | 1–0 | 100% | -0.00 |
| — | 1 | 1–0 | 100% | 0.12 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 13). 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 84 | 46% | 1.03 | 15.2 |
| Dust2 | 54 | 50% | 1.02 | 14.3 |
| Inferno | 25 | 40% | 1.15 | 16.8 |
| Nuke | 25 | 36% | 1.19 | 16.7 |
| Anubis | 17 | 65% | 1.18 | 15.0 |
| Ancient | 12 | 75% | 1.04 | 18.3 |
| Overpass | 7 | 71% | 1.42 | 15.4 |
| Cache | 4 | 50% | 1.20 | 18.8 |
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 34.8166% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.05 | 31% | 21 Aug → | ||
| 13–3 | 0.08 | 27% | 21 Aug → | ||
| 10–13 | -0.03 | 23% | 20 Aug → | ||
| 13–3 | -0.00 | 11% | 20 Aug → | ||
| 13–7 | 0.05 | 19% | 20 Aug → | ||
| 13–9 | 0.01 | 38% | 20 Aug → | ||
| 13–10 | 0.02 | 26% | 20 Aug → | ||
| 8–13 | -0.09 | 11% | 18 Aug → | ||
| 8–13 | 0.04 | 15% | 18 Aug → | ||
| 13–6 | 0.07 | 25% | 18 Aug → | ||
| 13–9 | 0.02 | 23% | 17 Aug → | ||
| 6–13 | -0.02 | 17% | 13 Aug → | ||
| 6–13 | 0.02 | 33% | 12 Aug → | ||
| 10–13 | -0.02 | 10% | 11 Aug → | ||
| 13–2 | 0.08 | 11% | 10 Aug → | ||
| 13–9 | 0.05 | 22% | 10 Aug → | ||
| 8–13 | -0.02 | 23% | 10 Aug → | ||
| 10–13 | 0.01 | 20% | 9 Aug → | ||
| 13–10 | 0.01 | 25% | 9 Aug → | ||
| 6–13 | -0.01 | 18% | 9 Aug → | ||
| 13–6 | 0.05 | 18% | 9 Aug → | ||
| 13–11 | -0.00 | 19% | 9 Aug → | ||
| 13–9 | 0.01 | 13% | 8 Aug → | ||
| 13–6 | -0.06 | 24% | 6 Jun → | ||
| 8–13 | -0.01 | 20% | 17 Mar → | ||
| 13–11 | -0.04 | 22% | 15 Mar → | ||
| 9–13 | -0.02 | 7% | 14 Mar → | ||
| 7–13 | 0.02 | 17% | 12 Mar → | ||
| 13–5 | 0.05 | 21% | 12 Mar → | ||
| 12–16 | 0.03 | 29% | 12 Mar → | ||
| 13–9 | 0.00 | 16% | 12 Mar → | ||
| 13–4 | 0.07 | 19% | 11 Mar → | ||
| 7–13 | 0.00 | 11% | 10 Mar → | ||
| 10–13 | -0.04 | 17% | 10 Mar → | ||
| 8–13 | -0.08 | 7% | 10 Mar → | ||
| 13–9 | -0.02 | 17% | 10 Mar → | ||
| 6–13 | -0.04 | 27% | 9 Mar → | ||
| 4–13 | -0.07 | 17% | 8 Mar → | ||
| 13–5 | -0.02 | 12% | 8 Mar → | ||
| 13–9 | 0.07 | 14% | 7 Mar → | ||
| 13–8 | -0.02 | 17% | 7 Mar → | ||
| 13–10 | 0.03 | 20% | 7 Mar → | ||
| 16–13 | 0.02 | 9% | 7 Mar → | ||
| 6–13 | -0.02 | 20% | 6 Mar → | ||
| 6–13 | -0.07 | 18% | 6 Mar → | ||
| 9–13 | -0.09 | 12% | 5 Mar → | ||
| 13–2 | 0.11 | 20% | 5 Mar → | ||
| 8–13 | -0.04 | 41% | 4 Mar → | ||
| 13–2 | 0.07 | 14% | 4 Mar → | ||
| 10–13 | -0.01 | 39% | 3 Mar → | ||
| 10–13 | 0.05 | 20% | 3 Mar → | ||
| 13–2 | 0.01 | 16% | 3 Mar → | ||
| 13–7 | 0.13 | 18% | 28 Feb → | ||
| 5–1 | 0.06 | 14% | 28 Feb → | ||
| 10–13 | -0.05 | 14% | 27 Feb → | ||
| 13–6 | -0.03 | 15% | 27 Feb → | ||
| 13–8 | -0.04 | 11% | 26 Feb → | ||
| 13–2 | 0.05 | 24% | 24 Feb → | ||
| 6–13 | -0.02 | 8% | 21 Feb → | ||
| 13–11 | 0.04 | 15% | 21 Feb → | ||
| 4–13 | 0.07 | 23% | 17 Feb → | ||
| 13–16 | 0.08 | 19% | 15 Feb → | ||
| 6–13 | -0.06 | 8% | 29 Jan → | ||
| 5–13 | -0.02 | 18% | 24 Jan → | ||
| 13–11 | 0.04 | 12% | 18 Jan → | ||
| 14–16 | 0.03 | 17% | 16 Jan → | ||
| 3–13 | -0.06 | 15% | 16 Jan → | ||
| 13–11 | -0.01 | 25% | 13 Jan → | ||
| 13–10 | 0.09 | 18% | 11 Jan → | ||
| 9–13 | -0.00 | 13% | 10 Jan → | ||
| 13–7 | 0.03 | 30% | 10 Jan → | ||
| 15–15 | 0.01 | 18% | 10 Jan → | ||
| 8–13 | -0.02 | 29% | 8 Jan → | ||
| 13–6 | 0.04 | 30% | 8 Jan → | ||
| 13–4 | 0.05 | 18% | 8 Jan → | ||
| 11–13 | -0.02 | 17% | 31 Dec → | ||
| 13–6 | 0.08 | 23% | 26 Dec → | ||
| 10–13 | -0.09 | 3% | 26 Dec → | ||
| 13–9 | -0.04 | 26% | 24 Dec → | ||
| 13–5 | 0.06 | 32% | 24 Dec → | ||
| 13–7 | 0.01 | 23% | 24 Dec → | ||
| office | 13–10 | -0.00 | 30% | 24 Dec → | |
| 13–2 | 0.12 | 19% | 24 Dec → | ||
| 14–16 | -0.02 | 13% | 24 Dec → | ||
| 13–1 | 0.08 | 21% | 24 Dec → | ||
| 13–11 | 0.01 | 20% | 24 Dec → | ||
| 9–13 | -0.00 | 26% | 24 Dec → | ||
| 10–13 | -0.02 | 19% | 23 Dec → | ||
| 13–5 | 0.07 | 17% | 23 Dec → | ||
| 3–13 | 0.00 | 19% | 23 Dec → | ||
| 13–7 | 0.04 | 20% | 23 Dec → | ||
| 13–11 | 0.03 | 22% | 23 Dec → | ||
| 7–13 | 0.00 | 18% | 23 Dec → | ||
| 10–13 | -0.04 | 22% | 23 Dec → | ||
| 16–14 | -0.06 | 19% | 23 Dec → | ||
| 13–16 | -0.05 | 12% | 22 Dec → | ||
| 6–13 | 0.01 | 13% | 22 Dec → | ||
| 13–10 | -0.02 | 18% | 22 Dec → | ||
| 13–11 | -0.05 | 25% | 21 Dec → | ||
| 9–1 | 0.07 | 29% | 21 Dec → |
Match data via Leetify.