Mr Wrinkles — CS2 Stats
US76561198196398918[U:1:236133190]Steam profile ↗
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 41.1% | 42.1% | 42.1% | 1.0% short |
| Shot accuracy | 13.9% | 12.9% | 12.1% | above |
| Kill/death ratio | 0.89 | 1.00 | 0.99 | 0.10 short |
| Match win rate | 42.9% | 42.9% | 43.9% | 0.9% short |
This profile matches the typical Level 3 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 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 · -0.02 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 72% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Reaction time. 712ms 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 3.1/10 (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 |
|---|---|---|---|---|---|
| A | 25 | 14–11 | 56% | -0.01 | |
| C | 16 | 6–10 | 38% | -0.00 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| B | 11 | 5–6 | 45% | -0.03 | |
| S | 9 | 7–2 | 78% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.03 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 4 | 1–3 | 25% | -0.07 | |
| — | 4 | 4–0 | 100% | 0.03 | |
| office | — | 2 | 0–2 | 0% | -0.05 |
| poseidon | — | 1 | 0–1 | 0% | -0.06 |
| debris | — | 1 | 1–0 | 100% | -0.08 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 16). 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 | 480 | 47% | 0.98 | 14.7 |
| Dust2 | 279 | 43% | 0.90 | 14.3 |
| Nuke | 247 | 46% | 0.96 | 15.6 |
| Anubis | 177 | 46% | 0.93 | 14.7 |
| Inferno | 147 | 46% | 0.95 | 15.4 |
| Ancient | 137 | 47% | 0.90 | 14.4 |
| Vertigo | 68 | 47% | 1.05 | 16.4 |
| Overpass | 56 | 59% | 1.01 | 17.2 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.8614° — above the 12° mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 711.8462ms — above the 700ms 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 0.4431 — below the 0.5 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 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.12 | 11% | 29 Aug → | ||
| 10–13 | -0.01 | 18% | 26 Aug → | ||
| 13–11 | -0.03 | 22% | 26 Aug → | ||
| 4–13 | -0.09 | 18% | 26 Aug → | ||
| 5–13 | -0.03 | 21% | 25 Aug → | ||
| poseidon | 8–8 | -0.06 | 24% | 25 Aug → | |
| 2–9 | -0.18 | 7% | 24 Aug → | ||
| 9–6 | -0.10 | 11% | 24 Aug → | ||
| debris | 9–6 | -0.08 | 13% | 24 Aug → | |
| 10–13 | 0.10 | 24% | 23 Aug → | ||
| 13–7 | 0.02 | 16% | 22 Aug → | ||
| 13–9 | -0.05 | 15% | 19 Aug → | ||
| 11–13 | -0.03 | 25% | 19 Aug → | ||
| 4–13 | -0.07 | 20% | 14 Aug → | ||
| 5–13 | -0.07 | 17% | 12 Aug → | ||
| 13–6 | -0.01 | 15% | 12 Aug → | ||
| 10–13 | -0.08 | 9% | 5 Aug → | ||
| 13–8 | -0.01 | 16% | 4 Aug → | ||
| 3–13 | -0.09 | 9% | 3 Aug → | ||
| 16–12 | -0.01 | 16% | 3 Aug → | ||
| 8–13 | -0.05 | 19% | 3 Aug → | ||
| 10–13 | -0.06 | 14% | 1 Aug → | ||
| 13–10 | -0.03 | 20% | 1 Aug → | ||
| 13–7 | -0.04 | 19% | 20 Jul → | ||
| 13–3 | -0.04 | 45% | 26 Jun → | ||
| 14–16 | 0.05 | 12% | 26 Jun → | ||
| 13–10 | 0.10 | 17% | 26 Jun → | ||
| 13–5 | 0.02 | 19% | 17 Jun → | ||
| 13–16 | -0.03 | 19% | 16 Jun → | ||
| 15–19 | -0.05 | 24% | 14 Jun → | ||
| 6–13 | -0.08 | 11% | 13 Jun → | ||
| 13–7 | 0.09 | 20% | 12 Jun → | ||
| 13–9 | 0.01 | 19% | 11 Jun → | ||
| 11–13 | -0.04 | 15% | 9 Jun → | ||
| 13–5 | 0.10 | 29% | 9 Jun → | ||
| 9–13 | -0.04 | 19% | 9 Jun → | ||
| 9–13 | -0.00 | 12% | 3 Jun → | ||
| 13–9 | 0.03 | 32% | 2 Jun → | ||
| 11–13 | -0.02 | 19% | 16 May → | ||
| 13–8 | 0.04 | 10% | 16 May → | ||
| 8–13 | -0.08 | 8% | 7 May → | ||
| 2–13 | -0.07 | 19% | 3 May → | ||
| 13–5 | -0.02 | 17% | 3 May → | ||
| 13–5 | -0.03 | 24% | 3 May → | ||
| 13–11 | -0.04 | 14% | 2 May → | ||
| 10–13 | -0.05 | 10% | 2 May → | ||
| 7–13 | 0.01 | 17% | 30 Apr → | ||
| 16–12 | 0.00 | 21% | 30 Apr → | ||
| 13–10 | -0.01 | 12% | 29 Apr → | ||
| 13–8 | 0.02 | 22% | 29 Apr → | ||
| 9–13 | 0.01 | 28% | 23 Apr → | ||
| 13–9 | 0.05 | 13% | 23 Apr → | ||
| 13–7 | -0.02 | 18% | 23 Apr → | ||
| 2–13 | -0.02 | 16% | 23 Apr → | ||
| 16–12 | -0.01 | 12% | 23 Apr → | ||
| 14–16 | 0.02 | 17% | 23 Apr → | ||
| 13–5 | 0.11 | 31% | 22 Apr → | ||
| 13–10 | 0.01 | 17% | 22 Apr → | ||
| 12–16 | -0.00 | 21% | 22 Apr → | ||
| 13–7 | 0.08 | 22% | 22 Apr → | ||
| 7–13 | -0.04 | 14% | 21 Apr → | ||
| 7–13 | -0.05 | 6% | 19 Apr → | ||
| 6–13 | -0.02 | 6% | 17 Apr → | ||
| 8–13 | -0.04 | 12% | 4 Apr → | ||
| 13–11 | 0.03 | 20% | 4 Apr → | ||
| 11–13 | 0.00 | 24% | 3 Apr → | ||
| 13–6 | 0.02 | 19% | 3 Apr → | ||
| 13–7 | -0.10 | 18% | 3 Apr → | ||
| 13–11 | 0.03 | 14% | 1 Apr → | ||
| 13–9 | 0.04 | 21% | 31 Mar → | ||
| 11–13 | -0.02 | 12% | 28 Mar → | ||
| 13–10 | -0.00 | 12% | 18 Mar → | ||
| 9–13 | -0.08 | 7% | 17 Mar → | ||
| 13–10 | 0.02 | 29% | 16 Mar → | ||
| 4–13 | -0.02 | 14% | 12 Mar → | ||
| 13–7 | 0.03 | 27% | 8 Mar → | ||
| 13–10 | 0.10 | 24% | 7 Mar → | ||
| 13–4 | 0.09 | 39% | 7 Mar → | ||
| 13–11 | 0.05 | 8% | 6 Mar → | ||
| 11–13 | -0.01 | 7% | 26 Feb → | ||
| 14–16 | -0.02 | 9% | 26 Feb → | ||
| 13–2 | -0.05 | 18% | 25 Feb → | ||
| 13–10 | 0.00 | 16% | 25 Feb → | ||
| 13–6 | 0.07 | 17% | 25 Feb → | ||
| 4–13 | 0.06 | 26% | 22 Feb → | ||
| 13–5 | 0.00 | 9% | 21 Feb → | ||
| 14–16 | 0.03 | 10% | 20 Feb → | ||
| 13–16 | 0.06 | 15% | 19 Feb → | ||
| 13–6 | 0.00 | 26% | 18 Feb → | ||
| 14–16 | -0.03 | 14% | 16 Feb → | ||
| 5–13 | -0.03 | 18% | 12 Feb → | ||
| 13–11 | -0.05 | 15% | 25 Jan → | ||
| 13–9 | -0.04 | 6% | 20 Jan → | ||
| 13–7 | -0.01 | 21% | 20 Jan → | ||
| office | 8–13 | 0.00 | 16% | 15 Jan → | |
| 9–13 | -0.00 | 28% | 13 Jan → | ||
| office | 10–13 | -0.10 | 100% | 9 Jan → | |
| 6–13 | -0.05 | 13% | 8 Jan → | ||
| 16–13 | -0.07 | 14% | 8 Jan → | ||
| 8–13 | -0.04 | 17% | 8 Jan → |
Match data via Leetify.
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