Semaie — CS2 Stats
GU76561198141649001[U:1:181383273]Steam profile ↗✓ No bans
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited utility dependence
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 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; 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
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 52% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 562ms 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 5.6/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | C | 24 | 10–14 | 42% | -0.00 |
 inferno | B | 19 | 9–10 | 47% | 0.01 |
 nuke | A | 15 | 9–6 | 60% | 0.01 |
 dust2 | A | 14 | 9–5 | 64% | 0.00 |
 anubis | C | 14 | 6–8 | 43% | 0.00 |
 ancient | D | 6 | 2–4 | 33% | 0.01 |
 cache | S | 6 | 4–2 | 67% | -0.01 |
 overpass | — | 2 | 2–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.6303 — below the 4 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 29.5556% — 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 | |
|---|---|---|---|---|---|
| inferno | 13–9 | 0.04 | 29% | 28 Aug → | |
| dust2 | 13–11 | -0.01 | 17% | 27 Aug → | |
| dust2 | 13–10 | 0.01 | 22% | 26 Aug → | |
| ancient | 13–16 | 0.10 | 17% | 26 Aug → | |
| nuke | 10–13 | 0.00 | 19% | 25 Aug → | |
| ancient | 13–11 | 0.03 | 28% | 24 Aug → | |
| dust2 | 13–7 | 0.04 | 11% | 24 Aug → | |
| anubis | 11–13 | 0.03 | 32% | 21 Aug → | |
| cache | 15–15 | 0.03 | 19% | 21 Aug → | |
| anubis | 13–16 | 0.01 | 18% | 20 Aug → | |
| nuke | 12–16 | -0.08 | 20% | 15 Aug → | |
| dust2 | 16–12 | -0.03 | 21% | 15 Aug → | |
| mirage | 13–9 | 0.03 | 24% | 15 Aug → | |
| anubis | 13–6 | 0.03 | 28% | 15 Aug → | |
| ancient | 6–13 | -0.04 | 30% | 13 Aug → | |
| nuke | 5–13 | 0.01 | 21% | 13 Aug → | |
| inferno | 7–13 | 0.07 | 26% | 9 Aug → | |
| nuke | 11–4 | 0.03 | 25% | 9 Aug → | |
| mirage | 6–13 | -0.03 | 27% | 8 Aug → | |
| nuke | 13–6 | -0.00 | 32% | 8 Aug → | |
| dust2 | 5–13 | 0.02 | 32% | 1 Aug → | |
| mirage | 3–13 | -0.05 | 15% | 1 Aug → | |
| inferno | 13–9 | 0.05 | 22% | 31 Jul → | |
| mirage | 10–13 | -0.03 | 32% | 30 Jul → | |
| inferno | 11–13 | -0.05 | 14% | 29 Jul → | |
| nuke | 13–11 | -0.06 | 30% | 25 Jul → | |
| nuke | 9–13 | 0.06 | 17% | 21 Jul → | |
| inferno | 9–13 | -0.03 | 33% | 20 Jul → | |
| cache | 16–14 | -0.00 | 16% | 20 Jul → | |
| ancient | 10–13 | -0.01 | 27% | 19 Jul → | |
| nuke | 16–13 | 0.04 | 29% | 19 Jul → | |
| inferno | 13–8 | -0.03 | 35% | 19 Jul → | |
| anubis | 14–16 | -0.03 | 13% | 18 Jul → | |
| mirage | 13–10 | 0.06 | 26% | 18 Jul → | |
| nuke | 13–10 | 0.02 | 22% | 18 Jul → | |
| inferno | 8–13 | 0.01 | 22% | 18 Jul → | |
| anubis | 7–13 | -0.11 | 10% | 18 Jul → | |
| mirage | 3–13 | 0.03 | 10% | 18 Jul → | |
| nuke | 16–14 | -0.02 | 34% | 17 Jul → | |
| cache | 11–13 | 0.00 | 35% | 17 Jul → | |
| cache | 16–12 | -0.03 | 16% | 17 Jul → | |
| inferno | 10–13 | -0.08 | 37% | 17 Jul → | |
| anubis | 13–8 | 0.05 | 39% | 17 Jul → | |
| mirage | 13–4 | 0.03 | 21% | 16 Jul → | |
| inferno | 8–13 | -0.06 | 30% | 11 Jul → | |
| mirage | 13–8 | -0.03 | 24% | 30 Jun → | |
| anubis | 15–15 | -0.01 | 25% | 27 Jun → | |
| mirage | 13–11 | -0.05 | 17% | 27 Jun → | |
| inferno | 12–16 | -0.03 | 16% | 23 Jun → | |
| ancient | 13–11 | 0.05 | 22% | 10 Jun → | |
| dust2 | 16–12 | 0.01 | 35% | 10 Jun → | |
| mirage | 13–16 | -0.01 | 10% | 9 Jun → | |
| ancient | 3–13 | -0.05 | 24% | 9 Jun → | |
| mirage | 14–16 | -0.07 | 13% | 8 Jun → | |
| mirage | 10–13 | -0.02 | 26% | 8 Jun → | |
| nuke | 13–10 | -0.06 | 30% | 8 Jun → | |
| dust2 | 10–13 | -0.04 | 28% | 7 Jun → | |
| mirage | 13–8 | -0.03 | 23% | 7 Jun → | |
| inferno | 15–15 | 0.08 | 16% | 7 Jun → | |
| anubis | 3–13 | -0.08 | 27% | 6 Jun → | |
| mirage | 13–10 | 0.09 | 21% | 6 Jun → | |
| mirage | 11–13 | 0.05 | 23% | 6 Jun → | |
| inferno | 13–10 | 0.04 | 27% | 6 Jun → | |
| anubis | 13–7 | 0.03 | 31% | 6 Jun → | |
| mirage | 13–3 | 0.10 | 29% | 6 Jun → | |
| nuke | 15–15 | 0.03 | 15% | 5 Jun → | |
| inferno | 16–14 | 0.04 | 27% | 5 Jun → | |
| mirage | 13–10 | 0.04 | 21% | 4 Jun → | |
| mirage | 13–16 | -0.04 | 28% | 3 Jun → | |
| inferno | 13–4 | 0.04 | 20% | 2 Jun → | |
| cache | 13–7 | -0.03 | 27% | 8 May → | |
| cache | 13–9 | -0.01 | 31% | 8 May → | |
| inferno | 6–13 | 0.01 | 23% | 4 May → | |
| mirage | 10–13 | -0.08 | 11% | 3 May → | |
| nuke | 9–13 | -0.02 | 25% | 3 May → | |
| dust2 | 16–13 | -0.01 | 35% | 2 May → | |
| mirage | 13–9 | -0.04 | 28% | 2 May → | |
| inferno | 13–9 | 0.03 | 18% | 2 May → | |
| dust2 | 13–7 | 0.03 | 22% | 2 May → | |
| anubis | 8–13 | -0.00 | 23% | 1 May → | |
| inferno | 13–11 | -0.01 | 30% | 30 Apr → | |
| dust2 | 10–13 | 0.05 | 21% | 29 Apr → | |
| nuke | 13–0 | 0.13 | 29% | 29 Apr → | |
| dust2 | 13–6 | 0.01 | 16% | 29 Apr → | |
| inferno | 13–5 | 0.00 | 14% | 27 Apr → | |
| dust2 | 14–16 | -0.04 | 28% | 27 Apr → | |
| anubis | 13–11 | -0.01 | 26% | 27 Apr → | |
| mirage | 10–13 | -0.03 | 37% | 27 Apr → | |
| dust2 | 13–5 | 0.00 | 36% | 26 Apr → | |
| overpass | 13–10 | -0.09 | 28% | 26 Apr → | |
| inferno | 9–13 | 0.03 | 20% | 24 Apr → | |
| anubis | 13–5 | 0.04 | 11% | 24 Apr → | |
| nuke | 13–10 | 0.07 | 29% | 22 Apr → | |
| overpass | 13–7 | 0.01 | 31% | 22 Apr → | |
| mirage | 13–16 | -0.04 | 21% | 21 Apr → | |
| mirage | 5–13 | 0.00 | 28% | 20 Apr → | |
| dust2 | 10–13 | -0.01 | 33% | 13 Apr → | |
| anubis | 14–16 | 0.04 | 21% | 9 Apr → | |
| anubis | 13–6 | 0.06 | 31% | 9 Apr → | |
| mirage | 8–13 | 0.01 | 32% | 8 Apr → |
Match data via Leetify.