Stig — CS2 Stats
US76561198024346187[U:1:64080459]Steam profile ↗✓ No bans
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 |
|---|---|---|
| Headshot rate | 48.8% | 48.1% |
| Shot accuracy | 19.7% | 12.9% |
| Kill/death ratio | 1.20 | 1.08 |
| Match win rate | 42.4% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 80% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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 44% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 610ms 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 |
|---|---|---|---|---|---|
| A | 29 | 16–13 | 55% | -0.00 | |
| B | 20 | 9–11 | 45% | -0.02 | |
| A | 15 | 9–6 | 60% | -0.00 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| A | 10 | 6–4 | 60% | -0.02 | |
| A | 7 | 4–3 | 57% | 0.00 | |
| S | 6 | 4–2 | 67% | 0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (45% over 20). Start with the 6 essential Inferno 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.
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 0.4996 — 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 16.2178% — 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.
45% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.02 | 14% | 25 May → | ||
| 0–4 | -0.05 | 0% | 25 May → | ||
| 13–9 | -0.02 | 14% | 20 May → | ||
| 13–11 | 0.02 | 12% | 18 May → | ||
| 12–16 | -0.02 | 8% | 17 May → | ||
| 8–13 | 0.04 | 3% | 17 May → | ||
| 13–8 | 0.05 | 13% | 16 May → | ||
| 13–3 | 0.01 | 21% | 16 May → | ||
| 13–16 | 0.00 | 24% | 16 May → | ||
| 9–13 | -0.01 | 11% | 15 May → | ||
| 13–5 | 0.03 | 8% | 14 May → | ||
| 13–8 | -0.02 | 8% | 14 May → | ||
| 13–8 | 0.03 | 18% | 13 May → | ||
| 15–15 | 0.03 | 26% | 11 May → | ||
| 13–5 | -0.02 | 17% | 10 May → | ||
| 13–16 | -0.01 | 29% | 10 May → | ||
| 4–13 | -0.09 | 15% | 10 May → | ||
| 13–3 | 0.05 | 22% | 8 May → | ||
| 10–13 | -0.01 | 30% | 6 May → | ||
| 6–13 | -0.02 | 22% | 5 May → | ||
| 10–13 | 0.06 | 23% | 3 May → | ||
| 9–13 | -0.04 | 13% | 2 May → | ||
| 13–11 | -0.05 | 16% | 2 May → | ||
| 13–11 | 0.02 | 15% | 1 May → | ||
| 13–11 | 0.01 | 13% | 29 Apr → | ||
| 4–13 | -0.05 | 22% | 26 Apr → | ||
| 13–10 | -0.04 | 9% | 25 Apr → | ||
| 8–13 | 0.01 | 14% | 8 Apr → | ||
| 13–9 | -0.04 | 21% | 7 Apr → | ||
| 8–13 | -0.03 | 13% | 5 Apr → | ||
| 9–13 | -0.02 | 26% | 4 Apr → | ||
| 8–13 | -0.06 | 18% | 2 Apr → | ||
| 11–13 | 0.00 | 7% | 2 Apr → | ||
| 15–15 | -0.01 | 23% | 1 Apr → | ||
| 9–13 | -0.06 | 19% | 1 Apr → | ||
| 7–13 | -0.05 | 13% | 30 Mar → | ||
| 13–6 | -0.00 | 19% | 30 Mar → | ||
| 2–13 | -0.05 | 18% | 29 Mar → | ||
| 11–13 | -0.04 | 15% | 29 Mar → | ||
| 13–10 | 0.03 | 12% | 28 Mar → | ||
| 16–13 | 0.02 | 26% | 28 Mar → | ||
| 2–7 | -0.03 | 6% | 27 Mar → | ||
| 4–13 | -0.10 | 7% | 27 Mar → | ||
| 10–13 | 0.00 | 28% | 26 Mar → | ||
| 8–3 | 0.04 | 17% | 25 Mar → | ||
| 5–13 | -0.06 | 26% | 25 Mar → | ||
| 13–11 | 0.02 | 17% | 24 Mar → | ||
| 15–15 | -0.03 | 14% | 22 Mar → | ||
| 13–8 | -0.05 | 26% | 22 Mar → | ||
| 16–13 | -0.04 | 15% | 21 Mar → | ||
| 13–3 | 0.10 | 13% | 17 Mar → | ||
| 13–8 | -0.00 | 6% | 11 Mar → | ||
| 13–9 | -0.07 | 18% | 10 Mar → | ||
| 13–7 | 0.02 | 6% | 6 Mar → | ||
| 13–10 | 0.02 | 9% | 5 Mar → | ||
| 13–8 | -0.07 | 8% | 5 Mar → | ||
| 13–2 | 0.03 | 26% | 3 Mar → | ||
| 13–8 | 0.03 | 15% | 2 Mar → | ||
| 13–10 | -0.06 | 14% | 1 Mar → | ||
| 13–4 | 0.05 | 19% | 28 Feb → | ||
| 13–9 | 0.00 | 46% | 26 Feb → | ||
| 5–13 | -0.03 | 19% | 25 Feb → | ||
| 3–13 | -0.01 | 26% | 23 Feb → | ||
| 13–11 | 0.01 | 19% | 22 Feb → | ||
| 4–13 | -0.07 | 0% | 8 Feb → | ||
| 7–13 | -0.08 | 20% | 8 Feb → | ||
| 2–13 | -0.01 | 33% | 8 Feb → | ||
| 16–14 | 0.04 | 20% | 7 Feb → | ||
| 13–9 | 0.03 | 13% | 7 Feb → | ||
| 13–16 | -0.03 | 13% | 6 Feb → | ||
| 9–13 | -0.05 | 6% | 5 Feb → | ||
| 13–4 | 0.01 | 23% | 4 Feb → | ||
| 13–6 | 0.08 | 19% | 2 Feb → | ||
| 13–3 | -0.00 | 45% | 2 Feb → | ||
| 13–8 | -0.08 | 3% | 1 Feb → | ||
| 7–13 | -0.03 | 22% | 1 Feb → | ||
| 13–9 | -0.03 | 30% | 31 Jan → | ||
| 13–4 | 0.06 | 16% | 31 Jan → | ||
| 13–5 | 0.03 | 18% | 30 Jan → | ||
| 4–13 | -0.06 | 13% | 30 Jan → | ||
| 15–15 | -0.01 | 16% | 30 Jan → | ||
| 13–5 | 0.04 | 25% | 28 Jan → | ||
| 13–6 | 0.08 | 24% | 25 Jan → | ||
| 4–13 | -0.05 | 13% | 25 Jan → | ||
| 11–13 | -0.00 | 23% | 19 Jan → | ||
| 9–13 | -0.02 | 7% | 18 Jan → | ||
| 13–10 | -0.01 | 19% | 18 Jan → | ||
| 7–13 | 0.04 | 35% | 18 Jan → | ||
| 13–7 | 0.07 | 19% | 3 Jan → | ||
| 13–11 | 0.02 | 10% | 3 Jan → | ||
| 3–13 | -0.01 | 35% | 3 Jan → | ||
| 3–13 | -0.05 | 12% | 3 Jan → | ||
| 7–13 | -0.04 | 18% | 2 Jan → | ||
| 13–11 | -0.01 | 27% | 2 Jan → | ||
| 16–14 | 0.02 | 20% | 1 Jan → | ||
| 13–10 | 0.02 | 24% | 1 Jan → | ||
| 13–8 | 0.01 | 13% | 31 Dec → | ||
| 13–7 | -0.04 | 7% | 31 Dec → | ||
| 13–10 | 0.05 | 21% | 30 Dec → | ||
| 4–13 | -0.09 | 14% | 29 Dec → |
Match data via Leetify.