Void — CS2 Stats
US76561198980733273[U:1:1020467545]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 | 37.0% | 48.1% | 11.0% short |
| Shot accuracy | 8.6% | 12.9% | 4.3% short |
| Kill/death ratio | 0.94 | 1.08 | 0.14 short |
| Match win rate | 47.1% | 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: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashesLimited utility dependence
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 jL 92% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 594ms 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 6.4/10 (Solid), 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 | 27 | 16–11 | 59% | -0.01 | |
| B | 21 | 10–11 | 48% | -0.01 | |
| S | 14 | 11–3 | 79% | 0.00 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| C | 8 | 3–5 | 38% | -0.02 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.12 | |
| — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis 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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.5818% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.8275 — below the 4 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 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.03 | 11% | 28 Aug → | ||
| 10–13 | -0.06 | 8% | 28 Aug → | ||
| 9–13 | -0.04 | 13% | 28 Aug → | ||
| 8–13 | -0.04 | 20% | 27 Aug → | ||
| 7–13 | -0.07 | 23% | 27 Aug → | ||
| 10–13 | 0.02 | 11% | 27 Aug → | ||
| 11–13 | -0.06 | 7% | 26 Aug → | ||
| 13–9 | 0.07 | 17% | 26 Aug → | ||
| 13–4 | 0.00 | 19% | 26 Aug → | ||
| 13–11 | -0.02 | 12% | 26 Aug → | ||
| 6–13 | -0.02 | 17% | 25 Aug → | ||
| 13–10 | -0.03 | 10% | 25 Aug → | ||
| 13–4 | 0.01 | 4% | 25 Aug → | ||
| 13–11 | 0.04 | 8% | 25 Aug → | ||
| 7–13 | -0.09 | 10% | 24 Aug → | ||
| 7–13 | -0.04 | 19% | 24 Aug → | ||
| 13–11 | -0.03 | 6% | 23 Aug → | ||
| 11–13 | -0.03 | 6% | 23 Aug → | ||
| 13–5 | -0.03 | 25% | 23 Aug → | ||
| 13–9 | 0.03 | 36% | 23 Aug → | ||
| 8–13 | -0.08 | 7% | 23 Aug → | ||
| 13–3 | 0.01 | 28% | 22 Aug → | ||
| 13–10 | -0.03 | 19% | 22 Aug → | ||
| 13–4 | 0.03 | 13% | 22 Aug → | ||
| 13–7 | -0.02 | 15% | 22 Aug → | ||
| 11–13 | 0.03 | 22% | 22 Aug → | ||
| 6–13 | -0.08 | 14% | 22 Aug → | ||
| 15–15 | -0.01 | 19% | 21 Aug → | ||
| 13–11 | -0.01 | 13% | 21 Aug → | ||
| 4–9 | -0.16 | 4% | 21 Aug → | ||
| 9–2 | 0.22 | 17% | 21 Aug → | ||
| 5–9 | -0.00 | 40% | 21 Aug → | ||
| 15–15 | -0.07 | 15% | 21 Aug → | ||
| 10–13 | -0.07 | 10% | 20 Aug → | ||
| 10–13 | 0.04 | 19% | 20 Aug → | ||
| 13–2 | 0.12 | 22% | 20 Aug → | ||
| 13–2 | 0.15 | 33% | 20 Aug → | ||
| 13–9 | 0.09 | 24% | 20 Aug → | ||
| 13–10 | -0.01 | 25% | 19 Aug → | ||
| 13–4 | 0.02 | 27% | 19 Aug → | ||
| 13–8 | -0.05 | 15% | 19 Aug → | ||
| 13–1 | 0.08 | 15% | 19 Aug → | ||
| 13–8 | 0.01 | 9% | 19 Aug → | ||
| 13–9 | -0.05 | 18% | 19 Aug → | ||
| 13–8 | -0.05 | 9% | 19 Aug → | ||
| 13–11 | -0.00 | 17% | 18 Aug → | ||
| 13–7 | 0.12 | 12% | 18 Aug → | ||
| 13–7 | -0.05 | 17% | 18 Aug → | ||
| 10–13 | -0.06 | 3% | 18 Aug → | ||
| 9–13 | -0.07 | 13% | 17 Aug → | ||
| 13–9 | 0.04 | 15% | 17 Aug → | ||
| 13–9 | 0.06 | 11% | 17 Aug → | ||
| 15–15 | 0.02 | 14% | 17 Aug → | ||
| 13–11 | -0.04 | 15% | 14 Aug → | ||
| 4–13 | -0.05 | 6% | 14 Aug → | ||
| 13–8 | -0.05 | 14% | 14 Aug → | ||
| 10–13 | -0.03 | 15% | 13 Aug → | ||
| 13–11 | -0.06 | 9% | 13 Aug → | ||
| 13–5 | 0.09 | 34% | 12 Aug → | ||
| 13–8 | 0.03 | 26% | 12 Aug → | ||
| 9–13 | -0.04 | 18% | 11 Aug → | ||
| 13–3 | 0.22 | 20% | 11 Aug → | ||
| 13–11 | 0.07 | 19% | 11 Aug → | ||
| 5–13 | 0.04 | 27% | 10 Aug → | ||
| 13–4 | 0.06 | 28% | 8 Aug → | ||
| 13–9 | 0.01 | 13% | 8 Aug → | ||
| 5–13 | -0.07 | 28% | 8 Aug → | ||
| 7–13 | -0.02 | 36% | 8 Aug → | ||
| 14–16 | -0.02 | 14% | 8 Aug → | ||
| 13–8 | 0.00 | 19% | 7 Aug → | ||
| 8–13 | -0.09 | 19% | 7 Aug → | ||
| 6–13 | -0.02 | 9% | 6 Aug → | ||
| 10–13 | -0.02 | 19% | 5 Aug → | ||
| 13–7 | 0.02 | 17% | 5 Aug → | ||
| 13–10 | 0.02 | 22% | 5 Aug → | ||
| 8–13 | 0.01 | 14% | 5 Aug → | ||
| 6–13 | -0.11 | 19% | 5 Aug → | ||
| 13–6 | -0.01 | 20% | 5 Aug → | ||
| 16–12 | 0.01 | 13% | 4 Aug → | ||
| 16–12 | -0.02 | 14% | 4 Aug → | ||
| 13–7 | -0.04 | 4% | 4 Aug → | ||
| 13–2 | 0.11 | 30% | 4 Aug → | ||
| 11–13 | 0.03 | 24% | 4 Aug → | ||
| 13–4 | -0.03 | 24% | 3 Aug → | ||
| 8–13 | 0.02 | 13% | 3 Aug → | ||
| 13–7 | 0.05 | 12% | 3 Aug → | ||
| 13–9 | -0.01 | 14% | 3 Aug → | ||
| 13–9 | 0.03 | 11% | 3 Aug → | ||
| 5–13 | -0.03 | 25% | 2 Aug → | ||
| 7–13 | -0.03 | 26% | 2 Aug → | ||
| 13–0 | 0.06 | 13% | 2 Aug → | ||
| 15–15 | 0.01 | 17% | 2 Aug → | ||
| 6–13 | -0.02 | 16% | 2 Aug → | ||
| 16–13 | -0.01 | 6% | 2 Aug → | ||
| 13–8 | -0.03 | 17% | 2 Aug → | ||
| 13–11 | -0.05 | 16% | 2 Aug → | ||
| 13–7 | -0.01 | 17% | 2 Aug → | ||
| 8–13 | -0.00 | 12% | 2 Aug → | ||
| 13–9 | 0.03 | 14% | 1 Aug → | ||
| 13–3 | 0.09 | 8% | 1 Aug → |
Match data via Leetify.