< Kwaxin — CS2 Stats
76561198033682959[U:1:73417231]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 | 43.5% | 48.1% | 4.6% short |
| Shot accuracy | 8.7% | 12.9% | 4.2% short |
| Kill/death ratio | 1.23 | 1.08 | above |
| Match win rate | 47.0% | 46.5% | meets |
This profile matches the typical Pink band player on 2 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: +0pp win rate · -0.04 avg rating
Player DNA
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 NiKo 82% playstyle similarity
Most alike: opening-duel success, 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
Areas to improve
Reaction time. 633ms 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 4.2/10 (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 | 18 | 10–8 | 56% | -0.01 | |
| D | 18 | 6–12 | 33% | 0.01 | |
| C | 16 | 7–9 | 44% | 0.03 | |
| B | 14 | 7–7 | 50% | 0.00 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| B | 12 | 6–6 | 50% | -0.01 | |
| C | 5 | 2–3 | 40% | -0.04 | |
| — | 2 | 1–1 | 50% | -0.04 | |
| boulder | — | 1 | 1–0 | 100% | 0.02 |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). 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 resultsLLLLL
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 0.3905 — 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 30.5348% — 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.
33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | -0.19 | 0% | 27 Aug → | ||
| 14–16 | -0.07 | 16% | 27 Aug → | ||
| 13–8 | -0.09 | 40% | 27 Aug → | ||
| 13–11 | 0.01 | 15% | 23 Aug → | ||
| 13–9 | 0.02 | 14% | 23 Aug → | ||
| 14–16 | -0.02 | 16% | 23 Aug → | ||
| 11–13 | -0.03 | 15% | 23 Aug → | ||
| 9–13 | -0.00 | 17% | 22 Aug → | ||
| 13–11 | 0.03 | 21% | 16 Aug → | ||
| 13–9 | -0.02 | 10% | 16 Aug → | ||
| 13–9 | 0.00 | 13% | 15 Aug → | ||
| 5–13 | 0.00 | 12% | 15 Aug → | ||
| 7–13 | -0.04 | 14% | 15 Aug → | ||
| 13–16 | -0.01 | 9% | 14 Aug → | ||
| 8–13 | -0.05 | 12% | 14 Aug → | ||
| 13–6 | 0.07 | 17% | 14 Aug → | ||
| 6–13 | -0.05 | 32% | 13 Aug → | ||
| 13–5 | 0.04 | 36% | 13 Aug → | ||
| 13–4 | -0.07 | 27% | 13 Aug → | ||
| 13–1 | 0.11 | 21% | 12 Aug → | ||
| 7–13 | -0.04 | 13% | 12 Aug → | ||
| 4–13 | -0.06 | 27% | 12 Aug → | ||
| 13–5 | 0.03 | 16% | 11 Aug → | ||
| 8–13 | 0.02 | 34% | 11 Aug → | ||
| 13–7 | 0.01 | 16% | 11 Aug → | ||
| 9–13 | -0.07 | 10% | 10 Aug → | ||
| 13–10 | 0.05 | 16% | 10 Aug → | ||
| 3–13 | -0.06 | 0% | 10 Aug → | ||
| 7–13 | -0.00 | 17% | 10 Aug → | ||
| 5–13 | -0.09 | 20% | 10 Aug → | ||
| 13–2 | 0.09 | 9% | 9 Aug → | ||
| 13–7 | 0.08 | 25% | 9 Aug → | ||
| 13–11 | 0.00 | 12% | 9 Aug → | ||
| 2–13 | -0.00 | 24% | 9 Aug → | ||
| 12–12 | -0.01 | 28% | 9 Aug → | ||
| 13–7 | 0.04 | 11% | 8 Aug → | ||
| 3–13 | -0.03 | 9% | 8 Aug → | ||
| 13–8 | 0.01 | 16% | 8 Aug → | ||
| 12–12 | 0.03 | 25% | 8 Aug → | ||
| 13–7 | 0.05 | 14% | 8 Aug → | ||
| 13–4 | 0.12 | 16% | 7 Aug → | ||
| 13–7 | 0.04 | 22% | 7 Aug → | ||
| 13–6 | 0.01 | 28% | 7 Aug → | ||
| 4–13 | 0.01 | 15% | 7 Aug → | ||
| 13–10 | -0.01 | 15% | 7 Aug → | ||
| 5–13 | 0.03 | 8% | 7 Aug → | ||
| 13–7 | 0.06 | 25% | 7 Aug → | ||
| 13–9 | 0.04 | 14% | 7 Aug → | ||
| 13–6 | -0.01 | 26% | 7 Aug → | ||
| 13–6 | 0.05 | 6% | 6 Aug → | ||
| 16–14 | 0.12 | 15% | 6 Aug → | ||
| 3–13 | -0.01 | 10% | 6 Aug → | ||
| 13–11 | 0.01 | 18% | 6 Aug → | ||
| 1–13 | -0.08 | 14% | 6 Aug → | ||
| 6–13 | -0.00 | 16% | 6 Aug → | ||
| 10–13 | 0.04 | 18% | 6 Aug → | ||
| 14–16 | 0.05 | 13% | 5 Aug → | ||
| 7–13 | -0.01 | 8% | 5 Aug → | ||
| 3–13 | 0.01 | 24% | 5 Aug → | ||
| 13–9 | 0.07 | 16% | 2 Aug → | ||
| 5–13 | -0.06 | 18% | 2 Aug → | ||
| 13–5 | 0.00 | 21% | 2 Aug → | ||
| boulder | 13–1 | 0.02 | 6% | 2 Aug → | |
| 4–13 | -0.05 | 0% | 1 Aug → | ||
| 13–4 | 0.08 | 13% | 1 Aug → | ||
| 4–13 | -0.05 | 0% | 31 Jul → | ||
| 7–13 | -0.11 | 14% | 30 Jul → | ||
| 5–13 | -0.04 | 14% | 30 Jul → | ||
| 8–13 | -0.01 | 11% | 29 Jul → | ||
| 6–13 | -0.01 | 19% | 29 Jul → | ||
| 7–13 | 0.05 | 12% | 29 Jul → | ||
| 13–10 | -0.01 | 13% | 29 Jul → | ||
| 13–11 | 0.13 | 21% | 29 Jul → | ||
| 8–13 | -0.04 | 22% | 29 Jul → | ||
| 13–8 | 0.04 | 25% | 29 Jul → | ||
| 13–3 | 0.02 | 22% | 28 Jul → | ||
| 13–7 | 0.07 | 20% | 28 Jul → | ||
| 6–13 | 0.01 | 21% | 28 Jul → | ||
| 13–10 | -0.01 | 19% | 28 Jul → | ||
| 8–13 | -0.04 | 20% | 28 Jul → | ||
| 13–10 | -0.02 | 15% | 27 Jul → | ||
| 6–13 | 0.02 | 18% | 25 Jul → | ||
| 6–13 | -0.05 | 12% | 25 Jul → | ||
| 11–13 | -0.06 | 9% | 25 Jul → | ||
| 13–8 | 0.13 | 13% | 25 Jul → | ||
| 13–5 | -0.00 | 9% | 25 Jul → | ||
| 3–13 | -0.00 | 22% | 25 Jul → | ||
| 6–13 | -0.02 | 8% | 24 Jul → | ||
| 5–13 | -0.03 | 5% | 24 Jul → | ||
| 9–13 | -0.06 | 15% | 24 Jul → | ||
| 13–11 | -0.03 | 17% | 24 Jul → | ||
| 3–13 | -0.03 | 16% | 23 Jul → | ||
| 12–12 | 0.05 | 18% | 23 Jul → | ||
| 1–13 | -0.06 | 10% | 19 Jul → | ||
| 8–13 | -0.05 | 15% | 19 Jul → | ||
| 13–5 | 0.00 | 12% | 19 Jul → | ||
| 13–8 | -0.02 | 5% | 18 Jul → | ||
| 11–13 | -0.02 | 18% | 18 Jul → | ||
| 11–13 | 0.03 | 23% | 18 Jul → | ||
| 13–10 | -0.02 | 25% | 18 Jul → |
Match data via Leetify.