flaxo — CS2 Stats
76561198316512586[U:1:356246858]
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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 94% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Strengths
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 34 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 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 576ms 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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 16–9 | 64% | 0.01 | |
| S | 25 | 18–7 | 72% | 0.02 | |
| S | 14 | 12–2 | 86% | 0.02 | |
| S | 11 | 8–3 | 73% | 0.03 | |
| S | 9 | 7–2 | 78% | -0.01 | |
| S | 8 | 7–1 | 88% | 0.03 | |
| A | 7 | 4–3 | 57% | 0.00 | |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (57% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 560 | 55% | 1.15 | 16.4 |
| Mirage | 389 | 50% | 1.07 | 16.2 |
| Anubis | 362 | 50% | 1.09 | 16.1 |
| Dust2 | 217 | 49% | 1.06 | 16.0 |
| Overpass | 110 | 56% | 1.11 | 16.5 |
| Vertigo | 93 | 48% | 1.06 | 16.5 |
| Nuke | 83 | 42% | 0.96 | 14.3 |
| Inferno | 61 | 52% | 0.96 | 15.3 |
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 30.7611% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | -0.01 | 25% | 28 Aug → | ||
| 13–10 | -0.03 | 18% | 28 Aug → | ||
| 13–11 | 0.01 | 24% | 28 Aug → | ||
| 13–9 | 0.04 | 30% | 28 Aug → | ||
| 7–13 | 0.04 | 39% | 28 Aug → | ||
| 13–10 | -0.00 | 26% | 12 Aug → | ||
| 13–5 | 0.01 | 31% | 12 Aug → | ||
| 13–5 | -0.03 | 26% | 11 Aug → | ||
| 13–6 | 0.03 | 30% | 11 Aug → | ||
| 8–13 | 0.04 | 25% | 4 Aug → | ||
| 16–12 | 0.04 | 37% | 4 Aug → | ||
| 13–2 | 0.10 | 35% | 4 Aug → | ||
| 13–11 | -0.03 | 23% | 27 Jul → | ||
| 10–13 | -0.06 | 26% | 26 Jul → | ||
| 13–5 | 0.03 | 50% | 26 Jul → | ||
| 13–11 | 0.08 | 39% | 23 Jul → | ||
| 13–4 | 0.05 | 31% | 23 Jul → | ||
| 11–13 | 0.02 | 31% | 23 Jul → | ||
| 13–6 | -0.00 | 31% | 23 Jul → | ||
| 7–13 | -0.05 | 24% | 23 Jul → | ||
| 13–0 | 0.17 | 21% | 20 Jul → | ||
| 13–5 | 0.06 | 33% | 20 Jul → | ||
| 13–10 | 0.02 | 30% | 17 Jul → | ||
| 16–14 | 0.03 | 25% | 17 Jul → | ||
| 13–9 | 0.06 | 19% | 13 Jul → | ||
| 13–10 | -0.02 | 9% | 13 Jul → | ||
| 8–13 | 0.06 | 38% | 13 Jul → | ||
| 13–11 | -0.04 | 19% | 13 Jul → | ||
| 13–9 | 0.03 | 28% | 10 Jul → | ||
| 13–9 | -0.01 | 25% | 9 Jul → | ||
| 13–4 | 0.00 | 22% | 9 Jul → | ||
| 13–8 | 0.02 | 48% | 6 Jul → | ||
| 13–6 | 0.01 | 28% | 6 Jul → | ||
| 13–9 | -0.01 | 36% | 6 Jul → | ||
| 15–15 | 0.03 | 43% | 3 Jul → | ||
| 13–4 | 0.03 | 36% | 3 Jul → | ||
| 13–3 | -0.05 | 42% | 3 Jul → | ||
| 13–5 | -0.02 | 38% | 2 Jul → | ||
| 13–7 | -0.02 | 56% | 28 Jun → | ||
| 13–10 | 0.11 | 38% | 28 Jun → | ||
| 13–5 | 0.04 | 50% | 28 Jun → | ||
| 5–13 | -0.08 | 16% | 26 Jun → | ||
| 13–9 | -0.02 | 25% | 26 Jun → | ||
| 8–13 | -0.06 | 39% | 26 Jun → | ||
| 13–8 | -0.03 | 36% | 26 Jun → | ||
| 11–13 | 0.01 | 25% | 26 Jun → | ||
| 13–10 | -0.06 | 31% | 24 Jun → | ||
| 13–7 | 0.01 | 30% | 23 Jun → | ||
| 13–11 | -0.02 | 20% | 23 Jun → | ||
| 8–13 | -0.04 | 38% | 23 Jun → | ||
| 28–25 | 0.01 | 33% | 23 Jun → | ||
| 13–11 | 0.01 | 54% | 23 Jun → | ||
| 7–13 | -0.02 | 31% | 2 Jun → | ||
| 19–17 | 0.08 | 25% | 2 Jun → | ||
| 16–12 | 0.09 | 50% | 26 May → | ||
| 4–13 | -0.01 | 54% | 7 May → | ||
| 13–9 | 0.13 | 39% | 5 May → | ||
| 5–13 | 0.04 | 54% | 4 May → | ||
| 13–7 | 0.04 | 33% | 4 May → | ||
| 13–10 | 0.05 | 31% | 2 May → | ||
| 13–3 | 0.05 | 50% | 2 May → | ||
| 11–13 | -0.04 | 26% | 2 May → | ||
| 10–13 | -0.01 | 22% | 2 May → | ||
| 13–8 | 0.05 | 29% | 26 Apr → | ||
| 8–13 | -0.01 | 14% | 25 Apr → | ||
| 13–8 | 0.04 | 27% | 25 Apr → | ||
| 9–13 | 0.03 | 31% | 17 Apr → | ||
| 13–7 | 0.01 | 42% | 16 Apr → | ||
| 13–11 | 0.01 | 38% | 15 Apr → | ||
| 13–11 | 0.03 | 38% | 15 Apr → | ||
| 13–4 | 0.02 | 32% | 26 Mar → | ||
| 13–11 | 0.02 | 37% | 22 Mar → | ||
| 11–13 | -0.03 | 59% | 18 Mar → | ||
| 12–12 | 0.02 | 23% | 12 Mar → | ||
| 16–13 | 0.02 | 31% | 2 Mar → | ||
| 9–13 | -0.10 | 18% | 28 Feb → | ||
| 13–4 | 0.04 | 37% | 28 Feb → | ||
| 16–12 | -0.00 | 28% | 28 Feb → | ||
| 5–13 | -0.03 | 37% | 25 Feb → | ||
| 13–8 | 0.07 | 26% | 11 Feb → | ||
| 13–7 | 0.04 | 31% | 11 Feb → | ||
| 13–16 | 0.05 | 33% | 10 Feb → | ||
| 13–11 | 0.01 | 27% | 29 Jan → | ||
| 13–8 | 0.01 | 23% | 10 Jan → | ||
| 13–6 | 0.02 | 24% | 10 Jan → | ||
| 13–9 | 0.01 | 28% | 9 Jan → | ||
| 13–6 | 0.04 | 34% | 9 Jan → | ||
| 16–14 | 0.02 | 30% | 9 Jan → | ||
| 7–13 | 0.01 | 23% | 3 Jan → | ||
| 5–13 | 0.00 | 31% | 14 Dec → | ||
| 13–8 | 0.09 | 30% | 14 Dec → | ||
| 13–11 | 0.02 | 30% | 14 Dec → | ||
| 6–13 | -0.00 | 48% | 14 Dec → | ||
| 13–0 | 0.07 | 35% | 14 Dec → | ||
| 12–16 | 0.00 | 48% | 14 Dec → | ||
| 13–10 | -0.03 | 46% | 14 Dec → | ||
| 13–2 | -0.02 | 17% | 7 Dec → | ||
| 13–4 | -0.01 | 28% | 7 Dec → | ||
| 13–7 | 0.02 | 38% | 7 Dec → | ||
| 13–9 | 0.00 | 36% | 6 Dec → |
Match data via Leetify.
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