-GabSX- — CS2 Stats
76561198402073164[U:1:441807436]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 60.4% | 52.8% |
| Shot accuracy | 11.1% | 13.7% |
| Kill/death ratio | 0.93 | 1.08 |
| Match win rate | 47.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 93% playstyle similarity
Most alike: positioning profile, 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 85 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 52% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
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 6.6/10 (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 |
|---|---|---|---|---|---|
| B | 33 | 15–18 | 45% | 0.02 | |
| A | 19 | 11–8 | 58% | 0.02 | |
| B | 19 | 9–10 | 47% | 0.01 | |
| C | 12 | 5–7 | 42% | 0.03 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.22 | |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1033 | 52% | 1.19 | 16.4 |
| Dust2 | 643 | 48% | 1.12 | 15.8 |
| Ancient | 565 | 50% | 1.15 | 16.2 |
| Anubis | 495 | 52% | 1.18 | 16.3 |
| Inferno | 355 | 54% | 1.16 | 15.9 |
| Nuke | 123 | 50% | 1.11 | 15.4 |
| Vertigo | 79 | 39% | 1.05 | 16.1 |
| Train | 55 | 44% | 1.08 | 15.7 |
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 29.2978% — 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.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.00 | 16% | 23 Aug → | ||
| 8–13 | 0.00 | 33% | 16 Aug → | ||
| 13–10 | 0.07 | 18% | 12 Aug → | ||
| 7–9 | 0.05 | 50% | 11 Aug → | ||
| 16–13 | 0.02 | 29% | 11 Aug → | ||
| 17–19 | -0.02 | 19% | 11 Aug → | ||
| 13–0 | 0.12 | 26% | 11 Aug → | ||
| 13–7 | 0.05 | 29% | 3 Aug → | ||
| 12–16 | -0.01 | 34% | 29 Jul → | ||
| 13–6 | 0.06 | 25% | 25 Jul → | ||
| 7–13 | -0.01 | 31% | 25 Jul → | ||
| 13–3 | 0.09 | 19% | 22 Jul → | ||
| 11–13 | 0.00 | 25% | 22 Jul → | ||
| 13–6 | 0.02 | 20% | 14 Jul → | ||
| 5–13 | 0.01 | 18% | 14 Jul → | ||
| 13–3 | 0.17 | 14% | 14 Jul → | ||
| 13–7 | 0.02 | 19% | 14 Jul → | ||
| 13–4 | 0.10 | 22% | 12 Jul → | ||
| 11–13 | -0.03 | 9% | 12 Jul → | ||
| 11–13 | 0.04 | 27% | 28 Jun → | ||
| 11–13 | -0.04 | 15% | 26 Jun → | ||
| 13–10 | 0.02 | 14% | 23 Jun → | ||
| 6–13 | -0.02 | 15% | 22 Jun → | ||
| 13–9 | 0.07 | 13% | 2 Jun → | ||
| 2–13 | 0.04 | 31% | 30 May → | ||
| 0–13 | -0.02 | 29% | 27 May → | ||
| 13–8 | 0.03 | 7% | 24 May → | ||
| 6–13 | -0.05 | 41% | 24 May → | ||
| 10–13 | -0.00 | 28% | 23 May → | ||
| 13–11 | 0.06 | 24% | 20 May → | ||
| 10–13 | -0.00 | 23% | 12 May → | ||
| 12–16 | -0.03 | 22% | 27 Apr → | ||
| 13–4 | -0.02 | 28% | 26 Apr → | ||
| 6–13 | 0.01 | 30% | 25 Apr → | ||
| 9–13 | -0.00 | 21% | 23 Apr → | ||
| 13–7 | 0.06 | 26% | 14 Apr → | ||
| 13–10 | 0.14 | 25% | 6 Apr → | ||
| 8–13 | 0.05 | 33% | 5 Apr → | ||
| 13–16 | -0.01 | 24% | 5 Apr → | ||
| 13–16 | -0.00 | 22% | 4 Apr → | ||
| 16–12 | -0.01 | 24% | 2 Apr → | ||
| 9–13 | 0.06 | 21% | 29 Mar → | ||
| 7–13 | -0.05 | 27% | 1 Mar → | ||
| 10–13 | 0.04 | 35% | 1 Mar → | ||
| 8–13 | 0.05 | 27% | 1 Mar → | ||
| 25–22 | 0.01 | 25% | 19 Feb → | ||
| 14–16 | 0.01 | 18% | 14 Feb → | ||
| 13–11 | -0.07 | 19% | 14 Feb → | ||
| 13–2 | 0.09 | 21% | 7 Feb → | ||
| 13–4 | -0.00 | 38% | 3 Feb → | ||
| 3–13 | -0.01 | 35% | 1 Feb → | ||
| 14–16 | -0.04 | 18% | 30 Jan → | ||
| 16–13 | 0.02 | 24% | 25 Jan → | ||
| 4–13 | -0.07 | 10% | 18 Jan → | ||
| 8–13 | 0.01 | 15% | 15 Jan → | ||
| 4–13 | -0.08 | 26% | 6 Jan → | ||
| 13–6 | 0.04 | 22% | 4 Jan → | ||
| 13–9 | 0.04 | 18% | 3 Jan → | ||
| 5–13 | -0.01 | 19% | 1 Jan → | ||
| 13–9 | 0.03 | 22% | 31 Dec → | ||
| 13–9 | -0.02 | 25% | 25 Dec → | ||
| 13–11 | 0.06 | 19% | 25 Dec → | ||
| 11–13 | -0.02 | 16% | 23 Dec → | ||
| 13–11 | 0.13 | 27% | 21 Dec → | ||
| 12–16 | 0.01 | 22% | 20 Dec → | ||
| 9–13 | -0.03 | 19% | 16 Dec → | ||
| 11–13 | 0.05 | 34% | 15 Dec → | ||
| 13–11 | 0.03 | 20% | 13 Dec → | ||
| 13–5 | 0.14 | 24% | 9 Dec → | ||
| 11–13 | 0.03 | 19% | 9 Dec → | ||
| 13–7 | 0.04 | 32% | 28 Nov → | ||
| 13–11 | 0.06 | 13% | 22 Nov → | ||
| 9–2 | 0.22 | 40% | 9 Nov → | ||
| 6–13 | 0.05 | 32% | 26 Oct → | ||
| 13–15 | 0.03 | 45% | 24 Oct → | ||
| 13–11 | 0.01 | 33% | 21 Oct → | ||
| 13–11 | -0.04 | 12% | 20 Oct → | ||
| 16–14 | 0.04 | 23% | 17 Oct → | ||
| 19–17 | -0.03 | 23% | 7 Oct → | ||
| 7–13 | -0.01 | 28% | 7 Oct → | ||
| 13–6 | 0.08 | 21% | 7 Oct → | ||
| 13–10 | 0.01 | 37% | 5 Oct → | ||
| 16–14 | -0.04 | 13% | 3 Oct → | ||
| 13–7 | -0.01 | 35% | 27 Sept → | ||
| 13–6 | 0.04 | 37% | 26 Sept → | ||
| 13–8 | -0.00 | 18% | 21 Sept → | ||
| 9–13 | 0.04 | 29% | 19 Sept → | ||
| 17–19 | -0.01 | 26% | 18 Sept → | ||
| 8–13 | 0.05 | 32% | 13 Sept → | ||
| 9–13 | 0.08 | 33% | 11 Sept → | ||
| 9–13 | 0.00 | 22% | 10 Sept → | ||
| 13–8 | 0.03 | 22% | 7 Sept → | ||
| 13–11 | -0.00 | 23% | 30 Aug → | ||
| 16–14 | 0.02 | 19% | 22 Aug → | ||
| 13–9 | 0.03 | 28% | 22 Aug → | ||
| 7–13 | -0.00 | 23% | 19 Aug → | ||
| 13–9 | 0.05 | 40% | 18 Aug → | ||
| 4–13 | -0.06 | 16% | 18 Aug → | ||
| 11–13 | -0.07 | 22% | 18 Aug → | ||
| 5–13 | 0.05 | 18% | 16 Aug → |
Match data via Leetify.