hUh — CS2 Stats
76561198068232413[U:1:107966685]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=6,418), 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 | 49.9% | 47.1% | 50.0% | meets |
| Shot accuracy | 14.0% | 12.8% | 13.5% | above |
| Kill/death ratio | 1.44 | 1.08 | 1.13 | above |
| Match win rate | 49.1% | 46.6% | 48.4% | meets |
Across every metric we can compare, this profile already matches the typical Red band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerLimited 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 donk 90% 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 88 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 55% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
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 6.3/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 26 | 11–15 | 42% | 0.01 | |
| A | 20 | 12–8 | 60% | 0.03 | |
| A | 19 | 11–8 | 58% | 0.03 | |
| A | 10 | 6–4 | 60% | -0.00 | |
| C | 10 | 4–6 | 40% | 0.00 | |
| C | 9 | 4–5 | 44% | 0.00 | |
| B | 6 | 3–3 | 50% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 10). 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.
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 0.3719 — 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 38.9323% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.01 | 14% | 8 May → | ||
| 13–10 | 0.08 | 27% | 8 May → | ||
| 13–5 | 0.08 | 33% | 7 May → | ||
| 13–1 | -0.00 | 16% | 6 May → | ||
| 8–13 | -0.04 | 18% | 5 May → | ||
| 7–13 | -0.04 | 13% | 2 May → | ||
| 13–8 | 0.00 | 15% | 2 May → | ||
| 7–13 | 0.04 | 14% | 1 May → | ||
| 13–9 | 0.05 | 10% | 1 May → | ||
| 13–2 | 0.07 | 21% | 1 May → | ||
| 5–13 | 0.09 | 25% | 1 May → | ||
| 11–13 | 0.03 | 21% | 1 May → | ||
| 13–8 | -0.02 | 24% | 29 Apr → | ||
| 11–13 | -0.03 | 11% | 29 Apr → | ||
| 13–8 | 0.01 | 2% | 29 Apr → | ||
| 15–15 | 0.11 | 8% | 29 Apr → | ||
| 13–5 | 0.09 | 16% | 29 Apr → | ||
| 13–7 | 0.02 | 16% | 28 Apr → | ||
| 9–13 | 0.00 | 24% | 28 Apr → | ||
| 11–13 | 0.09 | 15% | 28 Apr → | ||
| 11–13 | -0.04 | 9% | 28 Apr → | ||
| 16–14 | 0.10 | 15% | 28 Apr → | ||
| 6–13 | 0.00 | 16% | 28 Apr → | ||
| 13–9 | 0.08 | 13% | 27 Apr → | ||
| 11–13 | 0.00 | 17% | 27 Apr → | ||
| 13–8 | -0.01 | 18% | 27 Apr → | ||
| 11–13 | 0.03 | 10% | 27 Apr → | ||
| 5–13 | -0.00 | 25% | 27 Apr → | ||
| 13–16 | -0.01 | 7% | 25 Apr → | ||
| 11–13 | -0.03 | 9% | 24 Apr → | ||
| 10–13 | 0.10 | 5% | 24 Apr → | ||
| 13–4 | 0.10 | 12% | 24 Apr → | ||
| 13–11 | 0.04 | 15% | 24 Apr → | ||
| 9–13 | 0.04 | 23% | 24 Apr → | ||
| 13–7 | 0.03 | 27% | 24 Apr → | ||
| 13–8 | 0.01 | 27% | 24 Apr → | ||
| 13–9 | -0.00 | 9% | 24 Apr → | ||
| 13–9 | 0.13 | 8% | 24 Apr → | ||
| 5–13 | -0.01 | 13% | 23 Apr → | ||
| 10–13 | 0.07 | 32% | 23 Apr → | ||
| 13–9 | 0.01 | 17% | 23 Apr → | ||
| 13–9 | 0.00 | 10% | 23 Apr → | ||
| 13–9 | 0.00 | 20% | 23 Apr → | ||
| 16–13 | 0.05 | 12% | 23 Apr → | ||
| 7–13 | 0.08 | 20% | 23 Apr → | ||
| 13–9 | 0.08 | 17% | 21 Apr → | ||
| 13–3 | 0.06 | 10% | 21 Apr → | ||
| 3–13 | 0.02 | 22% | 21 Apr → | ||
| 16–14 | 0.06 | 17% | 21 Apr → | ||
| 9–13 | -0.08 | 15% | 21 Apr → | ||
| 13–10 | -0.03 | 12% | 21 Apr → | ||
| 9–13 | 0.01 | 13% | 21 Apr → | ||
| 7–13 | -0.02 | 6% | 21 Apr → | ||
| 7–13 | 0.04 | 19% | 20 Apr → | ||
| 13–11 | 0.02 | 13% | 20 Apr → | ||
| 13–5 | 0.01 | 25% | 18 Apr → | ||
| 13–8 | 0.14 | 18% | 17 Apr → | ||
| 6–13 | -0.04 | 15% | 17 Apr → | ||
| 15–15 | 0.04 | 7% | 16 Apr → | ||
| 14–16 | 0.07 | 20% | 16 Apr → | ||
| 4–13 | -0.03 | 8% | 16 Apr → | ||
| 13–10 | 0.01 | 29% | 16 Apr → | ||
| 13–5 | 0.00 | 12% | 14 Apr → | ||
| 13–9 | 0.04 | 22% | 14 Apr → | ||
| 11–13 | 0.03 | 18% | 14 Apr → | ||
| 11–13 | -0.00 | 11% | 14 Apr → | ||
| 13–10 | 0.12 | 11% | 14 Apr → | ||
| 13–10 | 0.08 | 9% | 14 Apr → | ||
| 13–11 | 0.03 | 14% | 14 Apr → | ||
| 13–2 | 0.17 | 16% | 14 Apr → | ||
| 11–13 | -0.00 | 18% | 14 Apr → | ||
| 13–9 | -0.01 | 10% | 14 Apr → | ||
| 9–13 | 0.01 | 15% | 13 Apr → | ||
| 9–13 | -0.01 | 6% | 12 Apr → | ||
| 5–13 | -0.07 | 22% | 11 Apr → | ||
| 16–13 | -0.04 | 20% | 11 Apr → | ||
| 13–8 | -0.01 | 5% | 10 Apr → | ||
| 11–13 | -0.04 | 17% | 10 Apr → | ||
| 11–13 | -0.04 | 13% | 10 Apr → | ||
| 13–8 | -0.04 | 5% | 10 Apr → | ||
| 13–2 | 0.01 | 17% | 10 Apr → | ||
| 15–15 | 0.01 | 14% | 10 Apr → | ||
| 6–13 | -0.07 | 8% | 10 Apr → | ||
| 16–13 | 0.03 | 11% | 10 Apr → | ||
| 9–13 | -0.04 | 9% | 10 Apr → | ||
| 13–11 | 0.02 | 16% | 8 Apr → | ||
| 13–9 | -0.05 | 5% | 8 Apr → | ||
| 8–13 | -0.03 | 13% | 8 Apr → | ||
| 9–13 | -0.05 | 13% | 6 Apr → | ||
| 13–11 | 0.02 | 9% | 6 Apr → | ||
| 11–13 | -0.04 | 11% | 6 Apr → | ||
| 13–8 | 0.08 | 8% | 4 Apr → | ||
| 9–13 | -0.05 | 3% | 4 Apr → | ||
| 16–13 | -0.03 | 18% | 4 Apr → | ||
| 13–9 | 0.01 | 10% | 3 Apr → | ||
| 10–13 | -0.01 | 17% | 3 Apr → | ||
| 13–16 | -0.04 | 12% | 2 Apr → | ||
| 8–13 | -0.01 | 12% | 2 Apr → | ||
| 13–7 | -0.06 | 7% | 2 Apr → | ||
| 13–11 | 0.01 | 3% | 1 Apr → |
Match data via Leetify.