ALECSAxmyR` — CS2 Stats
76561198038716604[U:1:78450876]Steam profile ↗✓ No bans
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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
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 85% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; 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. 643ms 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 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 18 | 9–9 | 50% | -0.01 | |
| D | 15 | 5–10 | 33% | -0.02 | |
| A | 14 | 8–6 | 57% | -0.00 | |
| B | 14 | 7–7 | 50% | -0.01 | |
| C | 14 | 5–9 | 36% | -0.02 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| poseidon | — | 2 | 1–1 | 50% | 0.10 |
| — | 2 | 0–2 | 0% | -0.04 | |
| rooftop | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 531 | 50% | 0.95 | 13.9 |
| Inferno | 488 | 53% | 0.98 | 14.1 |
| Mirage | 460 | 48% | 0.90 | 13.8 |
| Ancient | 443 | 49% | 0.94 | 13.9 |
| Anubis | 396 | 48% | 0.95 | 14.4 |
| Nuke | 229 | 54% | 0.98 | 14.5 |
| Overpass | 85 | 46% | 0.85 | 12.4 |
| Vertigo | 80 | 51% | 0.91 | 13.9 |
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.
- 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 0.4737 — 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 27.9551% — 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 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.05 | 20% | 6 Aug → | ||
| 13–8 | -0.03 | 19% | 6 Aug → | ||
| 9–13 | -0.05 | 24% | 5 Aug → | ||
| 13–11 | -0.04 | 21% | 5 Aug → | ||
| 16–14 | 0.07 | 27% | 23 Jul → | ||
| 11–13 | -0.05 | 15% | 3 Jul → | ||
| 2–13 | -0.04 | 26% | 1 Jul → | ||
| 11–13 | 0.01 | 15% | 30 Jun → | ||
| 4–13 | -0.05 | 9% | 20 Jun → | ||
| 10–13 | -0.03 | 22% | 20 Jun → | ||
| 13–11 | 0.03 | 26% | 17 Jun → | ||
| 13–8 | -0.01 | 18% | 17 Jun → | ||
| 10–13 | -0.06 | 11% | 17 Jun → | ||
| 7–13 | -0.03 | 24% | 14 Jun → | ||
| 4–13 | -0.01 | 11% | 11 Jun → | ||
| 16–19 | -0.04 | 10% | 4 Jun → | ||
| 8–13 | -0.04 | 13% | 3 Jun → | ||
| 4–13 | -0.04 | 8% | 3 Jun → | ||
| 12–16 | -0.04 | 16% | 1 Jun → | ||
| 13–6 | -0.01 | 14% | 1 Jun → | ||
| 13–3 | 0.03 | 25% | 1 Jun → | ||
| poseidon | 9–3 | 0.20 | 32% | 31 May → | |
| 13–8 | 0.01 | 16% | 30 May → | ||
| 6–13 | -0.06 | 3% | 30 May → | ||
| 7–13 | 0.00 | 28% | 29 May → | ||
| 13–7 | 0.16 | 14% | 25 May → | ||
| 13–10 | -0.03 | 23% | 25 May → | ||
| 13–9 | 0.03 | 16% | 22 May → | ||
| 13–11 | 0.02 | 18% | 21 May → | ||
| poseidon | 6–9 | 0.00 | 16% | 18 May → | |
| 13–10 | -0.04 | 17% | 18 May → | ||
| 8–13 | 0.01 | 32% | 18 May → | ||
| 8–13 | -0.06 | 17% | 9 May → | ||
| 13–10 | -0.05 | 19% | 9 May → | ||
| 13–9 | -0.06 | 15% | 8 May → | ||
| 5–13 | -0.05 | 17% | 5 May → | ||
| 6–13 | -0.04 | 15% | 4 May → | ||
| 19–16 | -0.02 | 23% | 1 May → | ||
| 6–13 | -0.02 | 11% | 24 Apr → | ||
| 13–2 | 0.03 | 11% | 22 Apr → | ||
| 13–16 | -0.07 | 12% | 19 Apr → | ||
| 6–13 | -0.05 | 12% | 18 Apr → | ||
| 13–8 | -0.03 | 11% | 13 Apr → | ||
| 13–4 | -0.00 | 20% | 13 Apr → | ||
| 19–16 | -0.04 | 27% | 10 Apr → | ||
| 13–9 | -0.01 | 26% | 9 Apr → | ||
| 7–13 | -0.05 | 33% | 9 Apr → | ||
| 16–13 | -0.02 | 18% | 5 Apr → | ||
| 5–13 | -0.03 | 13% | 4 Apr → | ||
| 13–6 | -0.02 | 20% | 3 Apr → | ||
| 6–13 | -0.04 | 18% | 20 Mar → | ||
| 13–5 | 0.10 | 18% | 10 Mar → | ||
| 8–13 | -0.08 | 30% | 28 Feb → | ||
| 11–13 | 0.06 | 19% | 27 Feb → | ||
| 10–13 | 0.04 | 22% | 26 Feb → | ||
| 13–5 | 0.06 | 26% | 22 Feb → | ||
| 10–13 | -0.05 | 38% | 20 Feb → | ||
| 10–13 | -0.00 | 12% | 19 Feb → | ||
| 13–3 | 0.08 | 17% | 13 Feb → | ||
| 13–9 | 0.02 | 18% | 30 Jan → | ||
| 13–11 | 0.04 | 16% | 30 Jan → | ||
| 12–16 | -0.04 | 10% | 21 Jan → | ||
| 11–13 | -0.01 | 14% | 13 Jan → | ||
| 13–6 | -0.01 | 12% | 13 Jan → | ||
| 13–8 | -0.05 | 13% | 11 Jan → | ||
| 10–13 | -0.01 | 15% | 10 Jan → | ||
| 13–7 | -0.02 | 8% | 8 Jan → | ||
| 9–13 | -0.01 | 20% | 4 Jan → | ||
| 17–19 | -0.05 | 24% | 2 Jan → | ||
| 13–6 | 0.02 | 18% | 29 Dec → | ||
| rooftop | 9–7 | -0.04 | 18% | 28 Dec → | |
| 16–13 | -0.02 | 19% | 27 Dec → | ||
| 4–13 | -0.01 | 15% | 26 Dec → | ||
| 11–13 | -0.03 | 25% | 26 Dec → | ||
| 19–22 | -0.03 | 14% | 26 Dec → | ||
| 14–16 | -0.01 | 20% | 26 Dec → | ||
| 8–13 | -0.03 | 19% | 23 Dec → | ||
| 13–7 | 0.05 | 21% | 22 Dec → | ||
| 14–16 | -0.03 | 12% | 7 Dec → | ||
| 6–13 | -0.04 | 13% | 4 Dec → | ||
| 13–6 | -0.05 | 24% | 16 Nov → | ||
| 13–11 | 0.03 | 18% | 16 Nov → | ||
| 13–11 | -0.02 | 23% | 15 Nov → | ||
| 13–11 | -0.04 | 13% | 15 Nov → | ||
| 5–13 | -0.04 | 15% | 8 Nov → | ||
| 8–13 | -0.01 | 27% | 5 Nov → | ||
| 1–13 | -0.07 | 30% | 31 Oct → | ||
| 19–15 | 0.04 | 28% | 25 Oct → | ||
| 30–34 | 0.01 | 19% | 22 Oct → | ||
| 5–13 | 0.01 | 11% | 8 Oct → | ||
| 11–13 | -0.03 | 13% | 24 Sept → | ||
| 6–13 | -0.03 | 23% | 18 Sept → | ||
| 7–13 | -0.00 | 32% | 18 Sept → | ||
| 5–13 | -0.04 | 18% | 17 Sept → | ||
| 16–12 | 0.03 | 20% | 16 Sept → | ||
| 10–13 | -0.06 | 17% | 14 Sept → | ||
| 6–13 | -0.01 | 10% | 12 Sept → | ||
| 9–13 | 0.03 | 19% | 12 Sept → | ||
| 3–13 | -0.05 | 24% | 12 Sept → | ||
| 4–13 | -0.02 | 27% | 5 Sept → |
Match data via Leetify.
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