fleav — CS2 Stats
76561198149906662[U:1:189640934]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerStrong 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 Twistzz 92% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution.
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
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 57% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| B | 26 | 12–14 | 46% | -0.01 | |
| B | 24 | 12–12 | 50% | 0.00 | |
| C | 14 | 5–9 | 36% | 0.01 | |
| S | 11 | 8–3 | 73% | 0.01 | |
| D | 9 | 1–8 | 11% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| S | 6 | 4–2 | 67% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (11% 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 646 | 59% | 1.31 | 18.1 |
| Ancient | 353 | 50% | 1.11 | 16.4 |
| Anubis | 278 | 50% | 1.16 | 15.9 |
| Dust2 | 237 | 55% | 1.21 | 17.7 |
| Nuke | 161 | 49% | 1.18 | 17.1 |
| Inferno | 98 | 58% | 1.28 | 17.6 |
| Vertigo | 44 | 59% | 1.07 | 16.9 |
| Train | 38 | 63% | 1.19 | 16.8 |
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 22.8497% — 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.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | -0.05 | 8% | 21 Aug → | ||
| 13–10 | -0.07 | 11% | 20 Aug → | ||
| 8–13 | 0.04 | 18% | 20 Aug → | ||
| 13–6 | 0.08 | 23% | 20 Aug → | ||
| 13–5 | 0.13 | 26% | 20 Aug → | ||
| 5–13 | -0.10 | 18% | 16 Aug → | ||
| 9–13 | -0.09 | 6% | 15 Aug → | ||
| 4–13 | -0.08 | 13% | 15 Aug → | ||
| 11–13 | -0.00 | 23% | 15 Aug → | ||
| 4–13 | -0.03 | 38% | 15 Aug → | ||
| 16–14 | 0.01 | 11% | 15 Aug → | ||
| 13–5 | -0.05 | 16% | 15 Aug → | ||
| 13–11 | -0.02 | 16% | 14 Aug → | ||
| 16–12 | 0.03 | 19% | 14 Aug → | ||
| 5–13 | -0.05 | 17% | 14 Aug → | ||
| 7–13 | -0.04 | 16% | 14 Aug → | ||
| 13–8 | 0.01 | 10% | 13 Aug → | ||
| 11–13 | 0.01 | 22% | 13 Aug → | ||
| 11–13 | 0.03 | 17% | 13 Aug → | ||
| 1–13 | -0.02 | 14% | 12 Aug → | ||
| 8–13 | 0.05 | 4% | 27 Jul → | ||
| 9–13 | 0.03 | 18% | 27 Jul → | ||
| 16–13 | -0.04 | 14% | 26 Jul → | ||
| 13–10 | -0.02 | 25% | 26 Jul → | ||
| 13–8 | -0.02 | 14% | 22 Jul → | ||
| 13–11 | 0.01 | 10% | 22 Jul → | ||
| 13–8 | -0.04 | 21% | 15 Jul → | ||
| 3–13 | -0.05 | 13% | 15 Jul → | ||
| 15–19 | -0.01 | 24% | 15 Jul → | ||
| 13–7 | 0.01 | 18% | 14 Jul → | ||
| 13–10 | -0.05 | 9% | 14 Jul → | ||
| 13–16 | 0.07 | 26% | 14 Jul → | ||
| 11–13 | 0.03 | 29% | 14 Jul → | ||
| 12–12 | -0.02 | 13% | 11 Jul → | ||
| 3–1 | 0.01 | 0% | 11 Jul → | ||
| 0–13 | -0.10 | 8% | 11 Jul → | ||
| 13–0 | 0.04 | 19% | 10 Jul → | ||
| 13–6 | -0.04 | 10% | 6 Jul → | ||
| 13–11 | -0.07 | 12% | 5 Jul → | ||
| 10–13 | 0.01 | 8% | 5 Jul → | ||
| 8–13 | 0.08 | 17% | 29 Jun → | ||
| 11–13 | 0.00 | 16% | 29 Jun → | ||
| 6–13 | -0.00 | 23% | 16 Jun → | ||
| 9–13 | -0.11 | 6% | 13 Jun → | ||
| 13–9 | -0.04 | 9% | 7 Jun → | ||
| 7–13 | -0.03 | 9% | 7 Jun → | ||
| 13–11 | -0.08 | 12% | 31 May → | ||
| 13–10 | 0.06 | 13% | 16 May → | ||
| 5–13 | -0.09 | 15% | 1 Apr → | ||
| 6–13 | -0.05 | 11% | 20 Mar → | ||
| 7–13 | -0.01 | 23% | 20 Mar → | ||
| 13–9 | 0.03 | 28% | 14 Mar → | ||
| 4–13 | -0.01 | 27% | 24 Feb → | ||
| 6–13 | 0.04 | 30% | 24 Feb → | ||
| 11–13 | -0.07 | 14% | 24 Feb → | ||
| 11–13 | 0.00 | 13% | 14 Feb → | ||
| 6–13 | 0.01 | 12% | 14 Feb → | ||
| 13–10 | 0.05 | 26% | 13 Feb → | ||
| 5–13 | -0.06 | 4% | 13 Feb → | ||
| 13–8 | 0.01 | 39% | 13 Feb → | ||
| 13–9 | 0.04 | 22% | 7 Feb → | ||
| 13–3 | 0.03 | 24% | 7 Feb → | ||
| 13–5 | -0.02 | 28% | 3 Feb → | ||
| 9–13 | -0.04 | 14% | 21 Jan → | ||
| 13–11 | 0.08 | 24% | 20 Jan → | ||
| 2–13 | -0.06 | 8% | 18 Jan → | ||
| 6–13 | -0.06 | 23% | 18 Jan → | ||
| 4–13 | -0.07 | 22% | 16 Jan → | ||
| 11–12 | 0.03 | 23% | 16 Jan → | ||
| 13–8 | -0.04 | 12% | 14 Jan → | ||
| 10–13 | -0.01 | 21% | 13 Jan → | ||
| 3–13 | -0.01 | 9% | 12 Jan → | ||
| 9–13 | -0.06 | 31% | 7 Jan → | ||
| 13–7 | 0.04 | 15% | 30 Dec → | ||
| 13–0 | 0.06 | 15% | 19 Oct → | ||
| 9–13 | 0.08 | 25% | 23 Sept → | ||
| 13–10 | 0.12 | 32% | 6 Sept → | ||
| 13–7 | 0.02 | 26% | 3 Aug → | ||
| 13–11 | 0.04 | 18% | 3 Aug → | ||
| 13–10 | 0.07 | 24% | 11 Jul → | ||
| 10–13 | -0.02 | 13% | 11 Jul → | ||
| 9–13 | -0.03 | 24% | 11 Jul → | ||
| 13–4 | 0.21 | 18% | 10 Jul → | ||
| 13–5 | 0.10 | 9% | 10 Jul → | ||
| 5–13 | 0.00 | 27% | 9 Jul → | ||
| 11–13 | 0.01 | 12% | 9 Jul → | ||
| 0–2 | -0.04 | 25% | 9 Jul → | ||
| 13–9 | 0.09 | 20% | 10 Jun → | ||
| 13–7 | 0.03 | 30% | 7 Jun → | ||
| 13–9 | -0.01 | 18% | 3 Jun → | ||
| 13–16 | -0.04 | 20% | 13 May → | ||
| 11–13 | 0.01 | 13% | 11 May → | ||
| 8–13 | 0.00 | 16% | 5 May → | ||
| 6–13 | 0.05 | 30% | 5 May → | ||
| 13–11 | -0.02 | 32% | 5 May → | ||
| 10–13 | -0.05 | 6% | 25 Apr → | ||
| 13–6 | 0.06 | 14% | 17 Apr → | ||
| 13–6 | 0.02 | 23% | 11 Apr → | ||
| 13–10 | 0.04 | 41% | 11 Apr → | ||
| 13–5 | -0.04 | 27% | 11 Apr → |
Match data via Leetify.
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