G — CS2 Stats
76561198321876500[U:1:361610772]✓ 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 | 40.3% | 47.2% | 49.9% | 9.7% short |
| Shot accuracy | 15.4% | 12.7% | 13.4% | above |
| Kill/death ratio | 1.02 | 1.09 | 1.12 | 0.10 short |
| Match win rate | 49.1% | 46.6% | 48.4% | meets |
This profile matches the typical Red band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Red 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 · +0.00 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 76% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 611ms 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 4.9/10 (Developing), 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 | 29 | 13–16 | 45% | -0.02 | |
| B | 23 | 12–11 | 52% | -0.02 | |
| A | 19 | 11–8 | 58% | -0.02 | |
| B | 10 | 5–5 | 50% | -0.04 | |
| D | 7 | 1–6 | 14% | -0.02 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| — | 3 | 3–0 | 100% | -0.01 | |
| — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (14% over 7). 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 | 90 | 58% | 0.98 | 13.1 |
| Anubis | 53 | 55% | 0.93 | 13.2 |
| Dust2 | 44 | 59% | 1.04 | 13.6 |
| Ancient | 43 | 37% | 0.87 | 12.9 |
| Inferno | 36 | 47% | 0.97 | 14.6 |
| Vertigo | 28 | 46% | 0.86 | 13.4 |
| Nuke | 13 | 46% | 1.02 | 12.2 |
| Overpass | 7 | 57% | 1.11 | 16.7 |
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 27.55% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.02 | 12% | 23 Aug → | ||
| 1–8 | -0.06 | 57% | 11 Aug → | ||
| 7–13 | 0.01 | 16% | 11 Aug → | ||
| 13–6 | -0.02 | 7% | 11 Aug → | ||
| 13–7 | 0.03 | 17% | 9 Aug → | ||
| 13–9 | -0.00 | 14% | 9 Aug → | ||
| 13–5 | -0.02 | 10% | 9 Aug → | ||
| 10–13 | -0.04 | 19% | 8 Aug → | ||
| 13–10 | -0.08 | 16% | 8 Aug → | ||
| 6–13 | -0.10 | 0% | 6 Aug → | ||
| 13–3 | 0.02 | 23% | 6 Aug → | ||
| 6–13 | -0.00 | 13% | 6 Aug → | ||
| 9–13 | -0.05 | 11% | 31 Jul → | ||
| 10–13 | -0.06 | 18% | 31 Jul → | ||
| 13–9 | -0.00 | 21% | 28 Jul → | ||
| 13–9 | 0.00 | 15% | 28 Jul → | ||
| 9–13 | -0.06 | 13% | 28 Jul → | ||
| 13–7 | -0.01 | 7% | 28 Jul → | ||
| 11–13 | -0.06 | 14% | 27 Jul → | ||
| 13–9 | -0.05 | 5% | 27 Jul → | ||
| 8–2 | 0.08 | 22% | 27 Jul → | ||
| 13–4 | -0.03 | 21% | 27 Jul → | ||
| 13–9 | -0.03 | 10% | 27 Jul → | ||
| 13–1 | 0.03 | 14% | 24 Jul → | ||
| 4–10 | -0.05 | 25% | 24 Jul → | ||
| 7–13 | -0.01 | 16% | 24 Jul → | ||
| 5–13 | -0.07 | 25% | 22 Jul → | ||
| 3–13 | -0.09 | 8% | 22 Jul → | ||
| 16–12 | 0.02 | 15% | 22 Jul → | ||
| 13–10 | -0.04 | 22% | 14 Jul → | ||
| 13–4 | 0.00 | 9% | 14 Jul → | ||
| 16–13 | -0.05 | 6% | 14 Jul → | ||
| 13–9 | 0.10 | 15% | 8 Jul → | ||
| 13–7 | -0.04 | 14% | 7 Jul → | ||
| 9–13 | -0.08 | 14% | 7 Jul → | ||
| 10–13 | -0.03 | 19% | 28 Jun → | ||
| 4–13 | -0.05 | 17% | 28 Jun → | ||
| 6–13 | -0.08 | 10% | 28 Jun → | ||
| 3–11 | -0.07 | 20% | 28 Jun → | ||
| 13–11 | -0.03 | 18% | 21 Jun → | ||
| 7–13 | -0.06 | 19% | 21 Jun → | ||
| 11–13 | -0.05 | 16% | 21 Jun → | ||
| 8–13 | -0.04 | 13% | 15 Jun → | ||
| 16–14 | -0.02 | 6% | 13 Jun → | ||
| 3–13 | -0.05 | 10% | 13 Jun → | ||
| 10–13 | -0.08 | 7% | 10 Jun → | ||
| 7–13 | -0.01 | 17% | 7 Jun → | ||
| 13–6 | -0.06 | 42% | 7 Jun → | ||
| 5–13 | -0.02 | 14% | 7 Jun → | ||
| 13–5 | -0.04 | 19% | 2 Jun → | ||
| 12–12 | -0.08 | 29% | 23 May → | ||
| 10–13 | -0.06 | 14% | 23 May → | ||
| 13–6 | -0.01 | 21% | 23 May → | ||
| 13–3 | 0.01 | 17% | 23 May → | ||
| 13–9 | 0.02 | 20% | 22 May → | ||
| 13–3 | -0.02 | 0% | 22 May → | ||
| 9–13 | 0.01 | 9% | 5 May → | ||
| 13–10 | -0.02 | 25% | 5 May → | ||
| 6–13 | -0.02 | 13% | 5 May → | ||
| 4–13 | -0.04 | 5% | 9 Mar → | ||
| 10–13 | -0.02 | 20% | 9 Mar → | ||
| 13–8 | -0.04 | 19% | 8 Mar → | ||
| 8–13 | -0.08 | 11% | 5 Mar → | ||
| 11–13 | -0.00 | 14% | 5 Mar → | ||
| 13–1 | 0.08 | 16% | 3 Mar → | ||
| 13–8 | 0.02 | 17% | 2 Mar → | ||
| 13–7 | 0.04 | 31% | 2 Mar → | ||
| 13–10 | 0.08 | 16% | 1 Mar → | ||
| 13–2 | 0.07 | 20% | 1 Mar → | ||
| 12–12 | -0.03 | 12% | 1 Mar → | ||
| 13–9 | -0.02 | 15% | 17 Feb → | ||
| 13–8 | -0.05 | 11% | 17 Feb → | ||
| 11–13 | -0.06 | 34% | 16 Feb → | ||
| 10–13 | -0.04 | 21% | 16 Feb → | ||
| 3–13 | -0.02 | 10% | 16 Feb → | ||
| 13–9 | 0.03 | 29% | 16 Feb → | ||
| 11–13 | -0.04 | 22% | 16 Feb → | ||
| 6–13 | -0.04 | 9% | 9 Feb → | ||
| 11–13 | -0.05 | 16% | 9 Feb → | ||
| 13–3 | 0.09 | 22% | 8 Feb → | ||
| 13–11 | -0.02 | 21% | 8 Feb → | ||
| 12–12 | -0.02 | 23% | 8 Feb → | ||
| 12–12 | -0.00 | 20% | 8 Feb → | ||
| 13–6 | 0.01 | 20% | 7 Feb → | ||
| 9–13 | -0.02 | 26% | 7 Feb → | ||
| 8–13 | 0.01 | 15% | 28 Jul → | ||
| 4–4 | 0.03 | 29% | 28 Jul → | ||
| 8–13 | -0.10 | 10% | 28 Jul → | ||
| 13–10 | -0.04 | 12% | 27 Jul → | ||
| 13–1 | -0.02 | 4% | 27 Jul → | ||
| 13–3 | 0.11 | 18% | 27 Jul → | ||
| 12–12 | -0.03 | 6% | 20 Jul → | ||
| 13–6 | -0.08 | 20% | 16 Jul → | ||
| 4–13 | -0.00 | 8% | 16 Jul → | ||
| 12–12 | 0.03 | 21% | 14 Jul → | ||
| 9–13 | 0.01 | 20% | 14 Jul → | ||
| 11–3 | -0.03 | 15% | 14 Jul → | ||
| 13–6 | -0.00 | 17% | 14 Jul → | ||
| 12–12 | 0.06 | 17% | 14 Jul → | ||
| 7–13 | -0.04 | 10% | 13 Jul → |
Match data via Leetify.