FakeDoor — CS2 Stats
76561198840570080[U:1:880304352]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp 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 79% playstyle similarity
Most alike: opening-duel success, positioning profile.
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. 638ms 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 3.3/10 (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 66 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 |
|---|---|---|---|---|---|
| D | 19 | 4–15 | 21% | -0.05 | |
| B | 17 | 8–9 | 47% | -0.03 | |
| D | 10 | 3–7 | 30% | -0.02 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| A | 5 | 3–2 | 60% | -0.00 | |
| D | 5 | 0–5 | 0% | -0.02 | |
| — | 2 | 0–2 | 0% | -0.04 | |
| fachwerk | — | 1 | 1–0 | 100% | -0.03 |
| — | 1 | 0–1 | 0% | -0.05 | |
| office | — | 1 | 0–1 | 0% | -0.07 |
Across the last 66 tracked matches.
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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 2 | 100% | 0.83 | 12.5 |
| Dust2 | 1 | 100% | 0.65 | 13.0 |
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 14.6423% — 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 0.4561 — 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 34.7781% — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.01 | 16% | 27 Aug → | ||
| 3–13 | -0.07 | 10% | 10 Aug → | ||
| 5–13 | -0.04 | 22% | 31 Jul → | ||
| fachwerk | 13–5 | -0.03 | 11% | 14 Jul → | |
| 1–13 | -0.05 | 12% | 26 Jun → | ||
| 13–8 | -0.04 | 16% | 27 May → | ||
| 13–7 | -0.02 | 13% | 27 May → | ||
| 8–13 | -0.11 | 8% | 19 May → | ||
| 6–13 | -0.04 | 20% | 18 May → | ||
| 3–13 | -0.10 | 12% | 17 May → | ||
| 12–12 | -0.06 | 17% | 17 May → | ||
| 1–13 | -0.02 | 9% | 17 May → | ||
| 4–13 | -0.04 | 20% | 15 May → | ||
| 9–13 | -0.10 | 13% | 13 May → | ||
| 13–5 | -0.03 | 21% | 13 May → | ||
| 3–13 | -0.05 | 10% | 13 May → | ||
| 13–8 | -0.06 | 4% | 13 May → | ||
| 4–13 | -0.02 | 24% | 16 Apr → | ||
| 11–13 | -0.06 | 9% | 16 Apr → | ||
| 12–12 | -0.06 | 4% | 23 Mar → | ||
| 13–1 | 0.04 | 15% | 22 Mar → | ||
| 13–10 | -0.02 | 13% | 22 Mar → | ||
| 10–13 | 0.04 | 41% | 9 Mar → | ||
| 5–13 | 0.00 | 23% | 9 Mar → | ||
| 4–13 | -0.03 | 17% | 9 Mar → | ||
| 6–13 | -0.01 | 15% | 9 Mar → | ||
| 11–13 | 0.00 | 11% | 25 Feb → | ||
| 13–6 | -0.01 | 11% | 3 Feb → | ||
| 8–13 | -0.05 | 14% | 15 Dec → | ||
| 5–13 | 0.03 | 9% | 12 Dec → | ||
| 11–13 | -0.05 | 8% | 12 Dec → | ||
| 11–13 | 0.02 | 17% | 12 Dec → | ||
| 9–13 | -0.08 | 11% | 11 Dec → | ||
| 1–13 | -0.09 | 8% | 11 Dec → | ||
| 13–8 | 0.07 | 23% | 10 Dec → | ||
| 8–13 | -0.03 | 16% | 10 Dec → | ||
| 13–10 | 0.00 | 12% | 14 Nov → | ||
| 13–7 | -0.05 | 21% | 12 Nov → | ||
| 13–5 | 0.03 | 19% | 11 Nov → | ||
| 12–12 | 0.01 | 21% | 11 Nov → | ||
| 7–13 | 0.07 | 23% | 11 Nov → | ||
| 13–7 | -0.02 | 28% | 2 Nov → | ||
| 3–8 | -0.07 | 0% | 2 Nov → | ||
| 11–13 | -0.06 | 26% | 2 Nov → | ||
| 4–13 | -0.12 | 9% | 18 Oct → | ||
| 13–11 | -0.04 | 16% | 26 Sept → | ||
| 13–11 | -0.04 | 20% | 15 Sept → | ||
| 13–10 | -0.01 | 14% | 15 Sept → | ||
| 12–12 | 0.02 | 11% | 7 Sept → | ||
| 13–9 | -0.01 | 22% | 5 Sept → | ||
| office | 10–13 | -0.07 | 35% | 5 Sept → | |
| 13–9 | 0.03 | 18% | 5 Sept → | ||
| 4–13 | -0.10 | 12% | 5 Sept → | ||
| 13–3 | 0.04 | 22% | 1 Mar → | ||
| 11–13 | -0.04 | 31% | 1 Mar → | ||
| 7–13 | -0.06 | 8% | 26 Feb → | ||
| 9–13 | -0.08 | 8% | 26 Feb → | ||
| 13–11 | -0.04 | 15% | 19 Feb → | ||
| 10–13 | -0.00 | 11% | 15 Feb → | ||
| 2–13 | -0.13 | 60% | 8 Feb → | ||
| 11–13 | -0.01 | 3% | 8 Feb → | ||
| 8–13 | -0.09 | 9% | 8 Feb → | ||
| 11–13 | 0.06 | 13% | 31 Jan → | ||
| 11–13 | -0.05 | 20% | 31 Jan → | ||
| 12–12 | -0.03 | 11% | 30 Jan → | ||
| 8–13 | -0.06 | 17% | 29 Jan → |
Match data via Leetify.
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