Twiksar — CS2 Stats
76561198144853368[U:1:184587640]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 sh1ro 93% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: higher opening-duel success.
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 86 — the mechanical foundation is a clear strength.
CT openings. 74% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 74% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 569ms 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 7.8/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 13 | 8–5 | 62% | 0.04 | |
| S | 12 | 10–2 | 83% | 0.05 | |
| S | 11 | 8–3 | 73% | 0.10 | |
| S | 10 | 8–2 | 80% | 0.11 | |
| A | 10 | 6–4 | 60% | 0.07 | |
| S | 10 | 7–3 | 70% | 0.06 | |
| S | 7 | 6–1 | 86% | 0.05 | |
| office | C | 7 | 3–4 | 43% | 0.06 |
| S | 7 | 6–1 | 86% | 0.09 | |
| S | 7 | 5–2 | 71% | 0.05 | |
| S | 5 | 5–0 | 100% | 0.08 | |
| palacio | — | 1 | 0–1 | 0% | 0.11 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 569 | 57% | 1.22 | 16.5 |
| Ancient | 498 | 63% | 1.26 | 16.4 |
| Anubis | 327 | 58% | 1.15 | 16.4 |
| Dust2 | 272 | 56% | 1.18 | 16.4 |
| Nuke | 216 | 67% | 1.25 | 16.3 |
| Inferno | 30 | 43% | 1.02 | 16.3 |
| Overpass | 26 | 54% | 1.17 | 15.5 |
| Vertigo | 23 | 57% | 1.12 | 16.3 |
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 33.6647% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.21 | 27% | 28 Aug → | ||
| 13–6 | 0.07 | 32% | 28 Aug → | ||
| 7–13 | 0.09 | 28% | 18 Aug → | ||
| 13–3 | 0.17 | 29% | 8 Aug → | ||
| 10–1 | 0.00 | 31% | 8 Aug → | ||
| 13–9 | 0.03 | 32% | 8 Aug → | ||
| 13–7 | -0.05 | 33% | 4 Aug → | ||
| 13–8 | 0.05 | 30% | 30 Jul → | ||
| 13–3 | 0.01 | 23% | 25 Jul → | ||
| 9–13 | 0.07 | 59% | 24 Jul → | ||
| 13–5 | 0.12 | 42% | 22 Jul → | ||
| 13–3 | 0.12 | 22% | 22 Jul → | ||
| 9–13 | 0.11 | 18% | 22 Jul → | ||
| 13–2 | 0.04 | 29% | 16 Jul → | ||
| 10–13 | 0.13 | 27% | 16 Jul → | ||
| 13–2 | 0.17 | 25% | 16 Jul → | ||
| office | 12–12 | -0.02 | 27% | 8 Jul → | |
| office | 13–5 | 0.07 | 32% | 8 Jul → | |
| 13–10 | 0.07 | 28% | 2 Jul → | ||
| 13–5 | 0.05 | 30% | 2 Jul → | ||
| 13–8 | 0.05 | 25% | 25 Jun → | ||
| 8–1 | 0.00 | 21% | 25 Jun → | ||
| 13–2 | 0.05 | 42% | 24 Jun → | ||
| 6–13 | 0.03 | 60% | 17 Jun → | ||
| 13–7 | 0.14 | 35% | 17 Jun → | ||
| 13–7 | 0.13 | 31% | 10 Jun → | ||
| 13–7 | 0.02 | 20% | 10 Jun → | ||
| 13–2 | -0.03 | 27% | 3 Jun → | ||
| 9–13 | 0.04 | 25% | 3 Jun → | ||
| 13–1 | 0.21 | 30% | 27 May → | ||
| 13–7 | 0.05 | 41% | 20 May → | ||
| 13–3 | -0.02 | 39% | 20 May → | ||
| 11–13 | -0.01 | 34% | 19 May → | ||
| 13–8 | 0.13 | 23% | 13 May → | ||
| 13–8 | 0.05 | 27% | 12 May → | ||
| 13–3 | 0.09 | 38% | 12 May → | ||
| 13–4 | 0.14 | 41% | 6 May → | ||
| 6–0 | 0.17 | 43% | 6 May → | ||
| 7–13 | 0.02 | 37% | 30 Apr → | ||
| 16–14 | 0.08 | 37% | 24 Apr → | ||
| 13–4 | -0.07 | 45% | 22 Apr → | ||
| 10–13 | 0.05 | 27% | 22 Apr → | ||
| 5–13 | 0.02 | 19% | 22 Apr → | ||
| 13–7 | 0.07 | 25% | 15 Apr → | ||
| 13–5 | 0.09 | 29% | 8 Apr → | ||
| 13–10 | 0.00 | 27% | 2 Apr → | ||
| 6–13 | 0.01 | 19% | 26 Mar → | ||
| 8–13 | 0.07 | 26% | 25 Mar → | ||
| 13–1 | 0.03 | 39% | 25 Mar → | ||
| 13–9 | 0.05 | 28% | 21 Mar → | ||
| 13–7 | 0.08 | 31% | 18 Mar → | ||
| office | 9–13 | 0.11 | 37% | 18 Mar → | |
| 13–4 | 0.01 | 16% | 12 Mar → | ||
| 11–13 | -0.01 | 24% | 11 Mar → | ||
| 13–11 | 0.04 | 35% | 4 Mar → | ||
| 13–9 | 0.03 | 24% | 4 Mar → | ||
| 13–9 | 0.03 | 30% | 1 Mar → | ||
| 13–4 | -0.02 | 26% | 1 Mar → | ||
| 13–9 | -0.01 | 20% | 1 Mar → | ||
| 13–6 | 0.14 | 30% | 25 Feb → | ||
| 13–6 | 0.10 | 31% | 18 Feb → | ||
| 13–7 | 0.06 | 38% | 18 Feb → | ||
| 13–8 | 0.02 | 32% | 15 Feb → | ||
| 13–2 | 0.35 | 29% | 11 Feb → | ||
| 13–2 | -0.02 | 30% | 11 Feb → | ||
| 13–8 | 0.08 | 30% | 5 Feb → | ||
| 8–13 | 0.01 | 22% | 4 Feb → | ||
| 13–6 | 0.14 | 27% | 4 Feb → | ||
| 13–5 | 0.10 | 31% | 29 Jan → | ||
| office | 10–13 | 0.06 | 33% | 22 Jan → | |
| office | 13–7 | 0.06 | 15% | 22 Jan → | |
| 13–4 | 0.09 | 25% | 14 Jan → | ||
| 13–3 | 0.05 | 39% | 14 Jan → | ||
| 13–5 | 0.11 | 27% | 11 Jan → | ||
| 13–5 | 0.07 | 20% | 25 Dec → | ||
| 6–13 | 0.00 | 19% | 25 Dec → | ||
| 8–13 | 0.01 | 20% | 18 Dec → | ||
| 13–3 | 0.08 | 24% | 13 Dec → | ||
| 13–3 | 0.08 | 35% | 12 Dec → | ||
| 13–10 | 0.13 | 22% | 5 Dec → | ||
| 13–2 | 0.08 | 28% | 28 Nov → | ||
| office | 13–3 | 0.08 | 22% | 28 Nov → | |
| 12–12 | 0.10 | 29% | 20 Nov → | ||
| 13–9 | 0.15 | 33% | 15 Nov → | ||
| 2–2 | 0.08 | 38% | 13 Nov → | ||
| 13–8 | 0.02 | 26% | 13 Nov → | ||
| 13–3 | 0.17 | 21% | 5 Nov → | ||
| 13–1 | 0.09 | 28% | 5 Nov → | ||
| 13–7 | 0.12 | 26% | 30 Oct → | ||
| 0–0 | 0.00 | 0% | 24 Oct → | ||
| 13–3 | 0.06 | 30% | 22 Oct → | ||
| 9–13 | 0.06 | 36% | 22 Oct → | ||
| 13–6 | 0.23 | 23% | 15 Oct → | ||
| 9–13 | 0.06 | 39% | 8 Oct → | ||
| palacio | 6–13 | 0.11 | 22% | 8 Oct → | |
| 12–12 | 0.10 | 26% | 8 Oct → | ||
| office | 10–13 | 0.03 | 26% | 1 Oct → | |
| 6–13 | -0.02 | 20% | 26 Sept → | ||
| 13–2 | 0.05 | 37% | 24 Sept → | ||
| 13–4 | 0.14 | 30% | 17 Sept → |
Match data via Leetify.