xFlesy — CS2 Stats
76561198094428916[U:1:134163188]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 88% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
T-side openings. Opening success drops from 42% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 605ms 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 5.5/10 (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 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 |
|---|---|---|---|---|---|
| office | C | 30 | 12–18 | 40% | -0.02 |
 inferno | B | 24 | 11–13 | 46% | -0.02 |
 cache | S | 10 | 7–3 | 70% | 0.02 |
 dust2 | D | 7 | 2–5 | 29% | 0.00 |
 ancient | D | 5 | 0–5 | 0% | -0.03 |
 train | C | 5 | 2–3 | 40% | 0.03 |
 anubis | — | 4 | 1–3 | 25% | -0.01 |
 nuke | — | 4 | 4–0 | 100% | -0.00 |
 mirage | — | 3 | 3–0 | 100% | 0.01 |
 overpass | — | 3 | 2–1 | 67% | 0.02 |
 vertigo | — | 2 | 2–0 | 100% | -0.01 |
| boulder | — | 2 | 1–1 | 50% | -0.01 |
| shelter | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 4 | 50% | 1.41 | 20.8 |
| Dust2 | 3 | 33% | 1.17 | 15.0 |
| Cache | 1 | 0% | 0.87 | 13.0 |
| Mirage | 1 | 0% | 0.79 | 11.0 |
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 24.8399% — 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 | |
|---|---|---|---|---|---|
| cache | 13–6 | 0.02 | 12% | 23 Aug → | |
| office | 2–13 | -0.02 | 16% | 23 Aug → | |
| inferno | 3–13 | -0.02 | 23% | 17 Aug → | |
| office | 5–13 | 0.02 | 25% | 17 Aug → | |
| cache | 11–13 | -0.04 | 16% | 15 Aug → | |
| office | 7–13 | -0.04 | 18% | 15 Aug → | |
| ancient | 11–13 | -0.02 | 12% | 14 Aug → | |
| cache | 13–6 | -0.03 | 11% | 14 Aug → | |
| office | 10–13 | 0.03 | 24% | 14 Aug → | |
| inferno | 11–13 | 0.01 | 18% | 7 Aug → | |
| cache | 13–7 | -0.01 | 12% | 7 Aug → | |
| inferno | 4–13 | -0.05 | 16% | 4 Aug → | |
| office | 11–13 | -0.04 | 22% | 4 Aug → | |
| anubis | 13–9 | -0.05 | 6% | 2 Aug → | |
| office | 4–13 | -0.05 | 11% | 2 Aug → | |
| mirage | 12–6 | 0.04 | 16% | 1 Aug → | |
| overpass | 7–0 | -0.04 | 8% | 1 Aug → | |
| nuke | 13–9 | 0.02 | 15% | 1 Aug → | |
| vertigo | 13–10 | -0.04 | 23% | 1 Aug → | |
| inferno | 13–2 | 0.01 | 24% | 1 Aug → | |
| office | 13–6 | 0.09 | 12% | 1 Aug → | |
| dust2 | 10–13 | 0.03 | 18% | 31 Jul → | |
| cache | 12–12 | -0.06 | 3% | 31 Jul → | |
| office | 13–9 | -0.06 | 20% | 31 Jul → | |
| inferno | 13–11 | 0.01 | 12% | 31 Jul → | |
| cache | 13–3 | 0.05 | 14% | 30 Jul → | |
| office | 10–3 | 0.00 | 18% | 30 Jul → | |
| inferno | 12–12 | 0.02 | 26% | 30 Jul → | |
| nuke | 13–9 | -0.02 | 8% | 28 Jul → | |
| inferno | 7–13 | 0.02 | 19% | 28 Jul → | |
| office | 9–13 | -0.10 | 8% | 28 Jul → | |
| dust2 | 13–4 | 0.04 | 12% | 27 Jul → | |
| train | 12–12 | -0.03 | 9% | 26 Jul → | |
| office | 7–13 | -0.02 | 7% | 25 Jul → | |
| inferno | 13–2 | -0.00 | 11% | 25 Jul → | |
| office | 13–4 | 0.02 | 28% | 24 Jul → | |
| office | 6–11 | 0.01 | 18% | 21 Jul → | |
| dust2 | 9–13 | -0.08 | 19% | 20 Jul → | |
| train | 10–13 | 0.02 | 7% | 20 Jul → | |
| office | 8–13 | -0.06 | 9% | 20 Jul → | |
| inferno | 8–13 | -0.13 | 11% | 20 Jul → | |
| office | 13–7 | 0.04 | 18% | 20 Jul → | |
| office | 13–8 | -0.02 | 15% | 19 Jul → | |
| dust2 | 6–13 | -0.06 | 21% | 19 Jul → | |
| cache | 13–3 | 0.10 | 15% | 19 Jul → | |
| office | 11–13 | -0.02 | 17% | 18 Jul → | |
| anubis | 4–13 | 0.06 | 7% | 17 Jul → | |
| office | 13–8 | 0.00 | 14% | 16 Jul → | |
| nuke | 13–4 | -0.05 | 19% | 15 Jul → | |
| office | 13–9 | 0.08 | 10% | 15 Jul → | |
| train | 6–13 | 0.01 | 13% | 14 Jul → | |
| office | 13–7 | -0.05 | 24% | 14 Jul → | |
| boulder | 12–12 | -0.00 | 17% | 11 Jul → | |
| inferno | 13–10 | 0.04 | 16% | 10 Jul → | |
| shelter | 13–5 | 0.05 | 21% | 10 Jul → | |
| mirage | 13–7 | 0.00 | 18% | 9 Jul → | |
| boulder | 13–9 | -0.01 | 15% | 9 Jul → | |
| inferno | 10–13 | -0.01 | 9% | 8 Jul → | |
| inferno | 6–13 | -0.01 | 6% | 7 Jul → | |
| overpass | 13–2 | 0.15 | 20% | 7 Jul → | |
| vertigo | 13–4 | 0.03 | 9% | 7 Jul → | |
| ancient | 3–13 | -0.05 | 9% | 7 Jul → | |
| overpass | 0–13 | -0.05 | 0% | 7 Jul → | |
| nuke | 13–7 | 0.04 | 19% | 7 Jul → | |
| inferno | 13–9 | 0.02 | 22% | 6 Jul → | |
| dust2 | 6–13 | 0.01 | 16% | 6 Jul → | |
| mirage | 13–1 | -0.00 | 5% | 6 Jul → | |
| inferno | 13–6 | -0.05 | 5% | 5 Jul → | |
| train | 13–9 | 0.09 | 13% | 4 Jul → | |
| inferno | 13–9 | -0.03 | 9% | 4 Jul → | |
| inferno | 2–13 | -0.04 | 17% | 4 Jul → | |
| inferno | 9–13 | -0.01 | 16% | 3 Jul → | |
| office | 13–6 | -0.01 | 11% | 3 Jul → | |
| dust2 | 13–1 | 0.17 | 23% | 2 Jul → | |
| office | 12–12 | 0.05 | 16% | 2 Jul → | |
| anubis | 11–13 | -0.08 | 10% | 1 Jul → | |
| dust2 | 6–13 | -0.10 | 8% | 1 Jul → | |
| cache | 12–12 | 0.10 | 14% | 1 Jul → | |
| office | 0–13 | -0.07 | 29% | 30 Jun → | |
| office | 3–4 | -0.08 | 0% | 30 Jun → | |
| ancient | 3–13 | -0.09 | 7% | 28 Jun → | |
| cache | 13–9 | -0.01 | 15% | 28 Jun → | |
| inferno | 6–13 | -0.07 | 7% | 28 Jun → | |
| ancient | 3–13 | -0.00 | 2% | 27 Jun → | |
| office | 12–12 | -0.04 | 7% | 27 Jun → | |
| office | 13–7 | -0.03 | 14% | 27 Jun → | |
| inferno | 13–1 | 0.06 | 16% | 25 Jun → | |
| inferno | 13–7 | -0.02 | 11% | 22 Jun → | |
| inferno | 8–13 | -0.06 | 15% | 20 Jun → | |
| ancient | 4–5 | 0.02 | 13% | 20 Jun → | |
| inferno | 8–13 | -0.04 | 13% | 20 Jun → | |
| cache | 7–1 | 0.07 | 12% | 19 Jun → | |
| office | 11–13 | -0.07 | 12% | 19 Jun → | |
| office | 13–10 | 0.02 | 22% | 18 Jun → | |
| office | 5–13 | -0.04 | 9% | 17 Jun → | |
| anubis | 10–13 | 0.04 | 12% | 17 Jun → | |
| train | 13–6 | 0.04 | 17% | 17 Jun → | |
| inferno | 13–5 | -0.00 | 18% | 16 Jun → | |
| office | 6–13 | -0.03 | 23% | 16 Jun → | |
| inferno | 13–10 | -0.00 | 12% | 15 Jun → |
Match data via Leetify.