Flit0xy~ — CS2 Stats
PS76561198237993622[U:1:277727894]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.06 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower aim profile; lower opening-duel success.
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. 565ms 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 5.9/10 (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 88 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 |
|---|---|---|---|---|---|
 dust2 | B | 47 | 21–26 | 45% | 0.00 |
 mirage | B | 13 | 7–6 | 54% | 0.02 |
 inferno | A | 7 | 4–3 | 57% | -0.01 |
 cache | S | 6 | 5–1 | 83% | 0.01 |
 anubis | D | 6 | 2–4 | 33% | 0.01 |
| office | — | 3 | 1–2 | 33% | 0.01 |
 ancient | — | 2 | 1–1 | 50% | 0.03 |
| italy | — | 1 | 1–0 | 100% | -0.06 |
 overpass | — | 1 | 0–1 | 0% | 0.00 |
 train | — | 1 | 0–1 | 0% | 0.00 |
 nuke | — | 1 | 0–1 | 0% | 0.00 |
Across the last 88 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 21 | 81% | 1.32 | 17.0 |
| Mirage | 12 | 67% | 1.18 | 16.4 |
| Inferno | 8 | 62% | 1.08 | 14.9 |
| Cache | 8 | 50% | 1.02 | 15.1 |
| Anubis | 7 | 57% | 1.10 | 16.1 |
| Ancient | 3 | 33% | 0.96 | 17.0 |
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.
- 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 30.7311% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 12–12 | 0.04 | 15% | 24 Aug → | |
| dust2 | 7–13 | -0.02 | 18% | 23 Aug → | |
| cache | 13–6 | 0.08 | 33% | 23 Aug → | |
| anubis | 13–7 | 0.03 | 14% | 23 Aug → | |
| dust2 | 13–4 | 0.04 | 24% | 23 Aug → | |
| dust2 | 13–10 | 0.02 | 23% | 22 Aug → | |
| dust2 | 2–13 | 0.02 | 36% | 22 Aug → | |
| dust2 | 13–6 | 0.07 | 22% | 21 Aug → | |
| dust2 | 13–9 | 0.02 | 13% | 1 Aug → | |
| dust2 | 5–13 | -0.02 | 53% | 30 Jul → | |
| dust2 | 12–12 | 0.04 | 30% | 30 Jul → | |
| dust2 | 12–12 | -0.02 | 11% | 30 Jul → | |
| dust2 | 3–11 | -0.12 | 0% | 24 Jul → | |
| dust2 | 3–7 | -0.04 | 26% | 24 Jul → | |
| dust2 | 14–16 | 0.01 | 22% | 24 Jul → | |
| dust2 | 2–4 | -0.09 | 75% | 19 Jul → | |
| cache | 13–5 | 0.04 | 14% | 18 Jul → | |
| inferno | 11–13 | -0.09 | 29% | 17 Jul → | |
| cache | 13–8 | 0.00 | 15% | 16 Jul → | |
| dust2 | 7–13 | -0.08 | 14% | 16 Jul → | |
| mirage | 13–3 | -0.04 | 22% | 16 Jul → | |
| dust2 | 13–8 | 0.11 | 21% | 14 Jul → | |
| anubis | 14–16 | 0.02 | 24% | 13 Jul → | |
| dust2 | 11–13 | -0.06 | 21% | 13 Jul → | |
| anubis | 13–10 | 0.03 | 18% | 13 Jul → | |
| anubis | 3–5 | 0.06 | 24% | 10 Jul → | |
| dust2 | 13–7 | 0.00 | 21% | 9 Jul → | |
| dust2 | 13–4 | -0.01 | 21% | 9 Jul → | |
| dust2 | 12–12 | 0.01 | 24% | 8 Jul → | |
| anubis | 4–13 | -0.06 | 15% | 6 Jul → | |
| anubis | 14–16 | -0.02 | 28% | 2 Jul → | |
| dust2 | 13–2 | 0.03 | 33% | 1 Jul → | |
| mirage | 13–9 | 0.18 | 12% | 26 Jun → | |
| dust2 | 3–13 | -0.03 | 27% | 26 Jun → | |
| dust2 | 8–13 | -0.01 | 26% | 26 Jun → | |
| dust2 | 10–13 | 0.06 | 19% | 25 Jun → | |
| dust2 | 13–3 | 0.12 | 31% | 25 Jun → | |
| dust2 | 13–4 | 0.03 | 15% | 10 Jun → | |
| dust2 | 16–14 | 0.04 | 25% | 4 Jun → | |
| dust2 | 13–3 | 0.00 | 21% | 2 Jun → | |
| dust2 | 13–8 | 0.03 | 21% | 26 May → | |
| cache | 13–9 | -0.01 | 12% | 26 May → | |
| dust2 | 11–13 | 0.01 | 24% | 22 May → | |
| dust2 | 11–13 | -0.03 | 21% | 21 May → | |
| inferno | 13–10 | 0.01 | 19% | 19 May → | |
| office | 12–12 | 0.02 | 23% | 13 May → | |
| cache | 8–13 | -0.04 | 10% | 13 May → | |
| dust2 | 12–12 | -0.01 | 8% | 10 May → | |
| cache | 13–9 | 0.01 | 9% | 9 May → | |
| dust2 | 13–4 | 0.04 | 28% | 21 Apr → | |
| dust2 | 12–12 | -0.02 | 22% | 19 Apr → | |
| dust2 | 13–7 | 0.04 | 30% | 2 Apr → | |
| dust2 | 13–11 | 0.05 | 11% | 24 Mar → | |
| ancient | 13–10 | 0.04 | 15% | 24 Mar → | |
| dust2 | 13–3 | 0.03 | 26% | 18 Mar → | |
| office | 12–12 | 0.00 | 33% | 18 Mar → | |
| dust2 | 13–11 | -0.03 | 23% | 31 Jan → | |
| dust2 | 12–12 | -0.04 | 19% | 23 Jan → | |
| italy | 13–8 | -0.06 | 25% | 26 Dec → | |
| dust2 | 13–7 | 0.01 | 24% | 24 Dec → | |
| dust2 | 6–13 | -0.06 | 33% | 19 Dec → | |
| office | 2–0 | 0.00 | 0% | 19 Dec → | |
| mirage | 13–4 | 0.04 | 9% | 19 Dec → | |
| dust2 | 13–1 | -0.02 | 17% | 17 Dec → | |
| inferno | 13–7 | -0.02 | 13% | 17 Dec → | |
| dust2 | 13–11 | 0.13 | 20% | 15 Dec → | |
| dust2 | 8–13 | 0.03 | 14% | 6 Dec → | |
| overpass | 4–16 | 0.00 | 23% | 20 Apr → | |
| dust2 | 12–16 | -0.03 | 19% | 18 Apr → | |
| mirage | 16–3 | 0.09 | 27% | 9 Apr → | |
| inferno | 16–13 | 0.07 | 21% | 2 Apr → | |
| inferno | 3–16 | -0.02 | 20% | 30 Mar → | |
| mirage | 15–15 | -0.04 | 11% | 28 Mar → | |
| ancient | 15–15 | 0.01 | 12% | 28 Mar → | |
| inferno | 7–16 | -0.01 | 14% | 23 Mar → | |
| dust2 | 6–16 | -0.07 | 11% | 23 Mar → | |
| mirage | 16–3 | 0.08 | 20% | 4 Mar → | |
| mirage | 14–16 | 0.00 | 29% | 15 Apr → | |
| mirage | 19–17 | 0.00 | 30% | 4 Jan → | |
| mirage | 11–16 | 0.00 | 24% | 25 Dec → | |
| mirage | 10–16 | 0.00 | 13% | 14 Nov → | |
| train | 9–16 | 0.00 | 34% | 23 Jun → | |
| mirage | 11–16 | 0.00 | 9% | 22 Jun → | |
| mirage | 13–16 | 0.00 | 20% | 21 Jun → | |
| nuke | 8–16 | 0.00 | 18% | 21 Jun → | |
| inferno | 16–14 | 0.00 | 14% | 21 Jun → | |
| mirage | 16–14 | 0.00 | 28% | 19 Jun → | |
| dust2 | 10–16 | 0.00 | 22% | 10 May → |
Match data via Leetify.
