SeeemsLegit — CS2 Stats
76561198121734297[U:1:161468569]Steam profile ↗✓ No bans
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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 openerEffective flashes
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: utility contribution, positioning profile.
Where you differ: 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
Strengths
Flashes. 0.78 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 47% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 628ms 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 6.4/10 (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 |
|---|---|---|---|---|---|
| B | 26 | 13–13 | 50% | 0.00 | |
| S | 21 | 14–7 | 67% | 0.00 | |
| S | 15 | 12–3 | 80% | -0.00 | |
| B | 14 | 7–7 | 50% | 0.01 | |
| A | 12 | 7–5 | 58% | 0.02 | |
| S | 6 | 5–1 | 83% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (50% over 26). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 55% | 0.65 | 11.1 |
| Ancient | 7 | 57% | 0.75 | 11.3 |
| Anubis | 5 | 60% | 0.82 | 13.8 |
| Inferno | 4 | 100% | 1.13 | 14.5 |
| Vertigo | 2 | 50% | 0.94 | 25.0 |
| Dust2 | 1 | 100% | 0.73 | 11.0 |
| Nuke | 1 | 100% | 1.78 | 16.0 |
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 29.7207% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.07 | 32% | 9 Aug → | ||
| 13–7 | 0.00 | 8% | 9 Aug → | ||
| 13–9 | -0.03 | 12% | 9 Aug → | ||
| 13–4 | 0.12 | 16% | 8 Aug → | ||
| 13–10 | 0.06 | 21% | 8 Aug → | ||
| 13–5 | 0.11 | 23% | 24 Jul → | ||
| 13–3 | -0.01 | 17% | 24 Jul → | ||
| 15–15 | 0.01 | 20% | 11 Jun → | ||
| 13–5 | 0.06 | 19% | 11 Jun → | ||
| 13–10 | 0.00 | 29% | 10 Jun → | ||
| 7–13 | 0.03 | 13% | 10 Jun → | ||
| 8–13 | -0.02 | 26% | 9 Jun → | ||
| 13–5 | 0.01 | 13% | 30 May → | ||
| 11–13 | 0.04 | 23% | 30 May → | ||
| 13–7 | 0.08 | 19% | 27 May → | ||
| 13–10 | 0.03 | 19% | 27 May → | ||
| 12–12 | 0.04 | 15% | 30 Apr → | ||
| 7–13 | -0.04 | 18% | 23 Apr → | ||
| 11–13 | -0.02 | 32% | 21 Apr → | ||
| 13–9 | 0.04 | 41% | 20 Apr → | ||
| 13–16 | -0.04 | 23% | 14 Apr → | ||
| 13–9 | 0.01 | 20% | 13 Apr → | ||
| 6–13 | 0.01 | 20% | 13 Apr → | ||
| 13–6 | 0.05 | 27% | 9 Apr → | ||
| 13–7 | -0.01 | 13% | 7 Apr → | ||
| 13–7 | 0.07 | 38% | 7 Apr → | ||
| 13–16 | -0.00 | 17% | 1 Apr → | ||
| 13–6 | 0.00 | 21% | 1 Apr → | ||
| 8–13 | -0.08 | 12% | 31 Mar → | ||
| 13–3 | 0.04 | 39% | 31 Mar → | ||
| 15–15 | -0.05 | 21% | 30 Mar → | ||
| 13–10 | 0.01 | 16% | 30 Mar → | ||
| 8–13 | -0.10 | 18% | 26 Mar → | ||
| 13–4 | -0.03 | 18% | 26 Mar → | ||
| 13–7 | -0.02 | 14% | 24 Mar → | ||
| 13–8 | -0.05 | 33% | 24 Mar → | ||
| 13–7 | -0.01 | 10% | 23 Mar → | ||
| 16–14 | 0.00 | 11% | 23 Mar → | ||
| 3–13 | -0.03 | 14% | 23 Mar → | ||
| 13–7 | -0.02 | 10% | 21 Mar → | ||
| 7–13 | 0.00 | 0% | 20 Mar → | ||
| 16–13 | -0.04 | 14% | 17 Mar → | ||
| 12–12 | 0.09 | 22% | 16 Mar → | ||
| 13–3 | 0.13 | 29% | 16 Mar → | ||
| 10–13 | -0.07 | 16% | 6 Mar → | ||
| 13–4 | 0.05 | 31% | 4 Mar → | ||
| 10–13 | -0.01 | 22% | 3 Mar → | ||
| 13–2 | -0.01 | 23% | 2 Mar → | ||
| 4–13 | -0.03 | 27% | 2 Mar → | ||
| 13–6 | -0.05 | 14% | 26 Feb → | ||
| 14–16 | 0.00 | 14% | 26 Feb → | ||
| 13–5 | 0.00 | 16% | 25 Feb → | ||
| 13–8 | 0.03 | 18% | 25 Feb → | ||
| 13–11 | -0.03 | 6% | 24 Feb → | ||
| 10–13 | -0.02 | 28% | 23 Feb → | ||
| 13–10 | -0.07 | 10% | 23 Feb → | ||
| 14–16 | -0.04 | 20% | 21 Feb → | ||
| 13–8 | -0.01 | 18% | 20 Feb → | ||
| 13–11 | -0.00 | 23% | 20 Feb → | ||
| 2–6 | 0.02 | 36% | 19 Feb → | ||
| 13–5 | 0.06 | 19% | 19 Feb → | ||
| 13–4 | -0.05 | 10% | 19 Feb → | ||
| 13–6 | -0.06 | 13% | 17 Feb → | ||
| 13–8 | -0.02 | 19% | 1 Feb → | ||
| 13–3 | -0.00 | 24% | 1 Feb → | ||
| 16–12 | -0.01 | 22% | 25 Jan → | ||
| 13–7 | 0.03 | 17% | 17 Jan → | ||
| 7–13 | -0.06 | 22% | 11 Jan → | ||
| 10–13 | 0.01 | 20% | 9 Jan → | ||
| 12–16 | 0.00 | 13% | 3 Jan → | ||
| 13–3 | 0.10 | 36% | 3 Jan → | ||
| 9–13 | 0.00 | 20% | 3 Jan → | ||
| 13–10 | 0.02 | 19% | 3 Jan → | ||
| 10–13 | 0.00 | 20% | 1 Jan → | ||
| 13–7 | 0.04 | 16% | 29 Dec → | ||
| 13–10 | 0.06 | 15% | 27 Dec → | ||
| 8–13 | 0.06 | 16% | 27 Dec → | ||
| 16–12 | 0.02 | 20% | 27 Dec → | ||
| 13–9 | 0.01 | 26% | 13 Dec → | ||
| 15–15 | -0.01 | 13% | 11 Dec → | ||
| 7–13 | -0.03 | 24% | 7 Dec → | ||
| 13–7 | 0.03 | 14% | 6 Dec → | ||
| 13–5 | 0.00 | 35% | 21 Nov → | ||
| 15–15 | 0.05 | 12% | 21 Nov → | ||
| 10–13 | 0.01 | 11% | 12 Nov → | ||
| 4–13 | 0.03 | 15% | 8 Nov → | ||
| 9–13 | -0.04 | 14% | 4 Nov → | ||
| 13–8 | 0.05 | 29% | 4 Nov → | ||
| 13–9 | 0.01 | 16% | 4 Nov → | ||
| 13–6 | 0.07 | 20% | 2 Nov → | ||
| 7–13 | 0.05 | 14% | 2 Nov → | ||
| 11–13 | -0.03 | 30% | 1 Nov → | ||
| 13–3 | 0.14 | 21% | 1 Nov → | ||
| 13–5 | 0.04 | 23% | 1 Nov → | ||
| 13–4 | -0.05 | 8% | 31 Oct → | ||
| 13–2 | 0.07 | 24% | 31 Oct → | ||
| 13–6 | 0.05 | 28% | 31 Oct → | ||
| 9–13 | -0.07 | 25% | 31 Oct → | ||
| 13–5 | 0.01 | 30% | 31 Oct → | ||
| 13–2 | 0.03 | 42% | 31 Oct → |
Match data via Leetify.