LXXs — CS2 Stats
76561199509242686[U:1:1548976958]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Limited 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 s1mple 89% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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.
Reaction time. 611ms 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 7.3/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 25 | 15–10 | 60% | 0.04 | |
| A | 20 | 12–8 | 60% | 0.06 | |
| B | 17 | 8–9 | 47% | 0.04 | |
| S | 15 | 11–4 | 73% | 0.06 | |
| A | 9 | 5–4 | 56% | 0.08 | |
| S | 6 | 5–1 | 83% | 0.07 | |
| S | 6 | 4–2 | 67% | 0.07 | |
| — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Inferno 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.
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 0.4522 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.17 | 20% | 6 Aug → | ||
| 13–7 | 0.03 | 23% | 22 Jun → | ||
| 16–14 | 0.09 | 26% | 14 Jun → | ||
| 13–7 | 0.05 | 25% | 14 Jun → | ||
| 13–5 | 0.12 | 26% | 14 Jun → | ||
| 13–10 | 0.09 | 23% | 13 Jun → | ||
| 13–3 | 0.02 | 35% | 13 Jun → | ||
| 13–9 | 0.13 | 20% | 10 Jun → | ||
| 13–7 | 0.08 | 25% | 8 Jun → | ||
| 11–13 | 0.06 | 22% | 8 Jun → | ||
| 13–4 | 0.03 | 20% | 2 Jun → | ||
| 14–16 | 0.03 | 19% | 2 Jun → | ||
| 13–4 | 0.04 | 35% | 2 Jun → | ||
| 13–11 | -0.02 | 18% | 29 May → | ||
| 13–7 | 0.08 | 29% | 19 May → | ||
| 13–2 | 0.13 | 24% | 18 May → | ||
| 13–10 | 0.09 | 14% | 29 Apr → | ||
| 11–13 | -0.01 | 14% | 22 Apr → | ||
| 4–13 | -0.04 | 22% | 22 Apr → | ||
| 13–6 | 0.13 | 33% | 15 Apr → | ||
| 13–11 | 0.17 | 14% | 15 Apr → | ||
| 11–13 | 0.03 | 21% | 14 Apr → | ||
| 13–5 | 0.12 | 26% | 9 Apr → | ||
| 13–3 | 0.18 | 16% | 8 Apr → | ||
| 13–3 | 0.10 | 20% | 8 Apr → | ||
| 13–6 | 0.12 | 23% | 8 Apr → | ||
| 8–13 | 0.05 | 14% | 3 Apr → | ||
| 13–11 | -0.05 | 9% | 2 Apr → | ||
| 6–13 | -0.06 | 13% | 2 Apr → | ||
| 13–5 | 0.17 | 29% | 1 Apr → | ||
| 13–1 | 0.08 | 22% | 31 Mar → | ||
| 6–13 | 0.06 | 23% | 31 Mar → | ||
| 11–13 | -0.03 | 18% | 18 Mar → | ||
| 6–13 | -0.03 | 14% | 18 Mar → | ||
| 4–13 | 0.04 | 35% | 16 Mar → | ||
| 6–13 | -0.01 | 18% | 15 Mar → | ||
| 5–13 | -0.03 | 16% | 12 Mar → | ||
| 10–13 | 0.03 | 21% | 12 Mar → | ||
| 6–13 | 0.05 | 22% | 8 Mar → | ||
| 13–5 | 0.10 | 19% | 8 Mar → | ||
| 9–13 | 0.13 | 19% | 2 Mar → | ||
| 7–13 | 0.07 | 15% | 28 Feb → | ||
| 13–11 | 0.14 | 22% | 25 Feb → | ||
| 13–5 | 0.07 | 22% | 21 Feb → | ||
| 13–6 | 0.10 | 13% | 21 Feb → | ||
| 13–7 | 0.00 | 14% | 20 Feb → | ||
| 10–13 | 0.05 | 14% | 18 Feb → | ||
| 4–13 | 0.03 | 23% | 17 Feb → | ||
| 13–4 | 0.07 | 24% | 16 Feb → | ||
| 13–11 | 0.06 | 22% | 16 Feb → | ||
| 5–13 | -0.03 | 21% | 16 Feb → | ||
| 11–13 | 0.08 | 25% | 11 Feb → | ||
| 13–5 | 0.08 | 17% | 11 Feb → | ||
| 13–10 | 0.06 | 19% | 16 Jan → | ||
| 13–9 | 0.06 | 25% | 16 Jan → | ||
| 7–13 | -0.03 | 12% | 15 Jan → | ||
| 13–6 | 0.09 | 23% | 15 Jan → | ||
| 13–6 | 0.10 | 26% | 15 Jan → | ||
| 8–13 | 0.14 | 33% | 15 Jan → | ||
| 1–13 | -0.06 | 26% | 6 Jan → | ||
| 0–9 | -0.07 | 100% | 3 Jan → | ||
| 16–12 | 0.06 | 24% | 3 Jan → | ||
| 13–9 | 0.01 | 16% | 31 Dec → | ||
| 11–13 | 0.01 | 11% | 31 Dec → | ||
| 11–13 | 0.03 | 15% | 31 Dec → | ||
| 2–13 | 0.07 | 22% | 19 Dec → | ||
| 13–10 | -0.01 | 13% | 19 Dec → | ||
| 5–2 | -0.02 | 24% | 19 Dec → | ||
| 13–11 | 0.02 | 13% | 19 Dec → | ||
| 3–13 | -0.02 | 25% | 17 Dec → | ||
| 13–6 | 0.02 | 24% | 17 Dec → | ||
| 9–13 | 0.08 | 27% | 11 Dec → | ||
| 7–13 | 0.15 | 20% | 11 Dec → | ||
| 13–7 | 0.05 | 21% | 10 Dec → | ||
| 13–6 | 0.11 | 13% | 10 Dec → | ||
| 13–7 | 0.07 | 29% | 10 Dec → | ||
| 8–13 | 0.04 | 28% | 9 Dec → | ||
| 6–13 | 0.03 | 22% | 2 Dec → | ||
| 2–11 | -0.00 | 17% | 2 Dec → | ||
| 13–5 | 0.10 | 18% | 1 Dec → | ||
| 13–7 | -0.02 | 23% | 1 Dec → | ||
| 13–2 | 0.00 | 23% | 1 Dec → | ||
| 13–9 | -0.03 | 17% | 1 Dec → | ||
| 7–13 | -0.01 | 15% | 25 Nov → | ||
| 13–10 | -0.00 | 17% | 24 Nov → | ||
| 13–7 | 0.06 | 26% | 24 Nov → | ||
| 16–12 | 0.12 | 26% | 24 Nov → | ||
| 13–10 | 0.08 | 13% | 21 Nov → | ||
| 15–15 | 0.09 | 19% | 21 Nov → | ||
| 14–16 | 0.15 | 22% | 20 Nov → | ||
| 13–8 | 0.14 | 22% | 20 Nov → | ||
| 13–5 | 0.02 | 31% | 19 Nov → | ||
| 13–6 | 0.20 | 28% | 19 Nov → | ||
| 13–4 | 0.11 | 20% | 19 Nov → | ||
| 9–13 | 0.08 | 20% | 19 Nov → | ||
| 10–13 | -0.03 | 29% | 18 Nov → | ||
| 13–7 | 0.05 | 31% | 17 Nov → | ||
| 13–8 | 0.02 | 25% | 17 Nov → | ||
| 16–14 | 0.05 | 30% | 16 Nov → | ||
| 13–10 | 0.04 | 20% | 16 Nov → |
Match data via Leetify.