Hanging Chad — CS2 Stats
76561199230257616[U:1:1269991888]Steam profile ↗
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 36.6% | 42.2% | 42.7% | 6.1% short |
| Shot accuracy | 2.1% | 11.9% | 10.8% | 8.7% short |
| Kill/death ratio | 0.81 | 0.98 | 1.00 | 0.19 short |
| Match win rate | 40.6% | 43.6% | 44.1% | 3.6% short |
This profile sits below the typical Level 4 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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: -20pp 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 71% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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. 667ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 cache | A | 28 | 18–10 | 64% | -0.03 |
 nuke | D | 25 | 8–17 | 32% | -0.01 |
 inferno | D | 9 | 2–7 | 22% | -0.14 |
 dust2 | D | 9 | 3–6 | 33% | -0.02 |
 vertigo | D | 7 | 2–5 | 29% | 0.01 |
 train | B | 6 | 3–3 | 50% | -0.02 |
 anubis | — | 4 | 4–0 | 100% | 0.03 |
 mirage | — | 3 | 0–3 | 0% | -0.02 |
| office | — | 3 | 0–3 | 0% | -0.03 |
 ancient | — | 2 | 2–0 | 100% | 0.05 |
 overpass | — | 2 | 1–1 | 50% | -0.02 |
| shelter | — | 1 | 1–0 | 100% | 0.01 |
| debris | — | 1 | 0–1 | 0% | -0.17 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 9). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 9 | 44% | 0.70 | 10.4 |
| Mirage | 6 | 50% | 0.65 | 10.5 |
| Dust2 | 5 | 60% | 0.73 | 11.8 |
| Inferno | 4 | 25% | 0.62 | 8.8 |
| Train | 4 | 50% | 0.59 | 9.3 |
| Ancient | 2 | 0% | 0.16 | 3.0 |
| Nuke | 2 | 50% | 0.86 | 16.0 |
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.
- 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 11.5586% — below the 15% mark we flag
- 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 0.3625 — 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 25.0643% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 3–13 | -0.07 | 7% | 28 Aug → | |
| cache | 4–13 | -0.07 | 14% | 28 Aug → | |
| inferno | 1–9 | -0.19 | 0% | 27 Aug → | |
| inferno | 11–13 | -0.08 | 5% | 15 Aug → | |
| dust2 | 10–13 | -0.01 | 23% | 26 Jul → | |
| nuke | 8–8 | 0.07 | 12% | 19 Jul → | |
| shelter | 13–6 | 0.01 | 7% | 19 Jul → | |
| inferno | 8–8 | -0.12 | 0% | 19 Jul → | |
| debris | 6–9 | -0.17 | 10% | 18 Jul → | |
| anubis | 13–5 | 0.03 | 4% | 12 Jul → | |
| dust2 | 12–12 | -0.06 | 14% | 12 Jul → | |
| nuke | 3–13 | -0.09 | 15% | 12 Jul → | |
| nuke | 13–11 | 0.00 | 10% | 11 Jul → | |
| mirage | 2–11 | -0.04 | 20% | 11 Jul → | |
| anubis | 13–9 | 0.06 | 22% | 10 Jul → | |
| cache | 4–13 | -0.04 | 10% | 7 Jul → | |
| nuke | 11–13 | 0.12 | 11% | 6 Jul → | |
| nuke | 13–9 | -0.02 | 8% | 6 Jul → | |
| cache | 13–6 | -0.06 | 9% | 4 Jul → | |
| nuke | 4–13 | -0.08 | 10% | 4 Jul → | |
| nuke | 11–13 | 0.04 | 9% | 4 Jul → | |
| cache | 13–4 | 0.01 | 8% | 3 Jul → | |
| nuke | 6–13 | 0.05 | 12% | 27 Jun → | |
| office | 3–13 | -0.09 | 13% | 27 Jun → | |
| cache | 13–5 | -0.03 | 11% | 25 Jun → | |
| nuke | 13–6 | 0.01 | 10% | 25 Jun → | |
| cache | 13–11 | -0.04 | 12% | 24 Jun → | |
| nuke | 12–12 | -0.01 | 3% | 24 Jun → | |
| nuke | 5–13 | -0.02 | 17% | 23 Jun → | |
| cache | 4–13 | -0.07 | 14% | 23 Jun → | |
| nuke | 11–13 | 0.06 | 19% | 21 Jun → | |
| cache | 12–12 | -0.01 | 13% | 30 May → | |
| cache | 8–13 | -0.08 | 5% | 11 May → | |
| cache | 4–13 | -0.13 | 17% | 10 May → | |
| cache | 13–6 | -0.04 | 15% | 10 May → | |
| cache | 13–3 | -0.03 | 7% | 10 May → | |
| cache | 5–13 | -0.06 | 22% | 10 May → | |
| cache | 3–13 | -0.06 | 20% | 10 May → | |
| cache | 3–13 | -0.08 | 10% | 10 May → | |
| cache | 13–11 | -0.03 | 9% | 5 May → | |
| cache | 13–6 | 0.00 | 20% | 2 May → | |
| nuke | 13–5 | 0.02 | 12% | 2 May → | |
| anubis | 13–7 | 0.04 | 7% | 2 May → | |
| train | 12–1 | 0.00 | 39% | 2 May → | |
| office | 8–13 | 0.01 | 23% | 2 May → | |
| cache | 13–10 | 0.01 | 10% | 2 May → | |
| cache | 13–8 | 0.04 | 6% | 2 May → | |
| cache | 13–6 | 0.01 | 9% | 2 May → | |
| cache | 13–2 | -0.05 | 22% | 2 May → | |
| cache | 13–10 | -0.04 | 10% | 2 May → | |
| cache | 6–13 | -0.05 | 12% | 2 May → | |
| cache | 13–5 | -0.01 | 25% | 2 May → | |
| cache | 13–8 | -0.01 | 14% | 1 May → | |
| nuke | 8–8 | -0.13 | 7% | 30 Apr → | |
| vertigo | 6–9 | -0.10 | 14% | 30 Apr → | |
| cache | 13–4 | 0.03 | 15% | 29 Apr → | |
| cache | 13–3 | -0.06 | 9% | 29 Apr → | |
| cache | 13–4 | 0.03 | 25% | 29 Apr → | |
| vertigo | 10–13 | -0.08 | 9% | 27 Apr → | |
| office | 12–12 | -0.02 | 7% | 27 Apr → | |
| dust2 | 7–13 | -0.04 | 12% | 25 Apr → | |
| vertigo | 6–13 | 0.20 | 21% | 19 Apr → | |
| dust2 | 13–5 | -0.01 | 10% | 12 Apr → | |
| inferno | 8–8 | -0.17 | 9% | 12 Apr → | |
| vertigo | 3–13 | -0.08 | 19% | 5 Apr → | |
| nuke | 6–13 | -0.11 | 8% | 5 Apr → | |
| inferno | 1–9 | -0.27 | 20% | 3 Apr → | |
| inferno | 2–9 | -0.18 | 36% | 3 Apr → | |
| nuke | 13–10 | 0.02 | 18% | 17 Mar → | |
| nuke | 2–11 | -0.03 | 17% | 8 Mar → | |
| anubis | 16–14 | -0.02 | 8% | 1 Mar → | |
| ancient | 13–3 | 0.08 | 25% | 1 Mar → | |
| nuke | 13–9 | 0.05 | 15% | 1 Mar → | |
| vertigo | 9–5 | 0.16 | 14% | 1 Mar → | |
| dust2 | 13–10 | 0.01 | 6% | 1 Mar → | |
| nuke | 5–9 | -0.12 | 0% | 1 Mar → | |
| inferno | 9–6 | -0.08 | 8% | 28 Feb → | |
| inferno | 9–5 | -0.02 | 5% | 8 Feb → | |
| nuke | 5–9 | -0.01 | 10% | 26 Jan → | |
| inferno | 4–9 | -0.11 | 19% | 17 Jan → | |
| train | 7–13 | 0.00 | 9% | 10 Jan → | |
| train | 8–13 | -0.07 | 16% | 10 Jan → | |
| ancient | 13–10 | 0.02 | 7% | 10 Jan → | |
| dust2 | 4–13 | -0.06 | 13% | 10 Jan → | |
| train | 13–2 | 0.01 | 17% | 10 Jan → | |
| mirage | 9–13 | -0.00 | 14% | 2 Jan → | |
| train | 11–13 | -0.05 | 16% | 2 Jan → | |
| dust2 | 11–13 | -0.01 | 18% | 2 Jan → | |
| nuke | 16–14 | -0.00 | 11% | 2 Jan → | |
| overpass | 6–13 | -0.08 | 20% | 2 Jan → | |
| vertigo | 13–11 | -0.03 | 11% | 2 Jan → | |
| train | 13–10 | -0.02 | 14% | 2 Jan → | |
| dust2 | 13–0 | 0.03 | 25% | 2 Jan → | |
| nuke | 6–9 | -0.12 | 19% | 1 Jan → | |
| mirage | 11–13 | -0.02 | 20% | 27 Dec → | |
| dust2 | 6–13 | -0.04 | 14% | 27 Dec → | |
| nuke | 13–8 | 0.01 | 17% | 27 Dec → | |
| overpass | 13–8 | 0.04 | 15% | 27 Dec → | |
| nuke | 4–9 | 0.05 | 11% | 27 Dec → | |
| vertigo | 8–8 | -0.01 | 9% | 26 Dec → |
Match data via Leetify.