Lex Lather — CS2 Stats
76561198058532481[U:1:98266753]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · +0.04 avg rating
Player DNA
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 NiKo 79% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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
Areas to improve
T-side openings. Opening success drops from 48% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.2/10 (Learning), 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 | 25 | 12–13 | 48% | -0.02 | |
| C | 22 | 9–13 | 41% | -0.02 | |
| A | 19 | 11–8 | 58% | -0.03 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.01 | |
| D | 6 | 2–4 | 33% | 0.01 | |
| C | 5 | 2–3 | 40% | -0.05 | |
| — | 4 | 0–4 | 0% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). 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.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.4007° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.3887% — below the 15% 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 | |
|---|---|---|---|---|---|
| 13–10 | 0.03 | 11% | 22 Aug → | ||
| 11–13 | 0.04 | 23% | 22 Aug → | ||
| 13–7 | -0.01 | 2% | 12 Aug → | ||
| 13–10 | -0.03 | 3% | 12 Aug → | ||
| 11–13 | -0.00 | 6% | 5 Aug → | ||
| 6–13 | -0.04 | 9% | 5 Aug → | ||
| 13–7 | -0.01 | 11% | 3 Aug → | ||
| 6–13 | 0.00 | 11% | 3 Aug → | ||
| 13–11 | 0.03 | 12% | 2 Aug → | ||
| 13–1 | 0.05 | 13% | 2 Aug → | ||
| 10–13 | -0.09 | 9% | 2 Aug → | ||
| 13–1 | -0.00 | 11% | 2 Aug → | ||
| 11–13 | -0.05 | 2% | 2 Aug → | ||
| 7–13 | -0.03 | 17% | 27 Jul → | ||
| 5–13 | -0.07 | 8% | 27 Jul → | ||
| 12–16 | -0.04 | 5% | 26 Jul → | ||
| 13–16 | -0.02 | 11% | 26 Jul → | ||
| 14–16 | -0.07 | 9% | 22 Jul → | ||
| 10–13 | -0.02 | 8% | 22 Jul → | ||
| 8–13 | 0.04 | 10% | 22 Jul → | ||
| 13–9 | -0.02 | 10% | 12 Jul → | ||
| 13–6 | 0.08 | 7% | 12 Jul → | ||
| 11–13 | -0.01 | 13% | 28 Jun → | ||
| 7–13 | -0.01 | 7% | 28 Jun → | ||
| 10–13 | 0.00 | 11% | 31 May → | ||
| 13–9 | -0.03 | 8% | 31 May → | ||
| 7–13 | -0.04 | 12% | 31 May → | ||
| 13–8 | -0.01 | 9% | 31 May → | ||
| 9–13 | -0.06 | 10% | 31 May → | ||
| 13–16 | -0.00 | 8% | 31 May → | ||
| 13–3 | -0.03 | 2% | 31 May → | ||
| 13–7 | -0.04 | 10% | 31 May → | ||
| 13–7 | -0.03 | 7% | 31 May → | ||
| 13–9 | 0.02 | 14% | 25 May → | ||
| 13–10 | 0.04 | 8% | 25 May → | ||
| 6–13 | 0.06 | 10% | 25 May → | ||
| 10–13 | -0.05 | 10% | 24 May → | ||
| 8–13 | 0.01 | 4% | 24 May → | ||
| 10–13 | 0.05 | 9% | 24 May → | ||
| 9–13 | 0.04 | 19% | 24 May → | ||
| 2–13 | -0.06 | 14% | 24 May → | ||
| 16–13 | 0.01 | 9% | 24 May → | ||
| 13–6 | 0.01 | 8% | 24 May → | ||
| 9–13 | -0.03 | 10% | 24 May → | ||
| 5–13 | -0.04 | 19% | 24 May → | ||
| 13–9 | 0.01 | 11% | 23 May → | ||
| 13–10 | -0.06 | 11% | 23 May → | ||
| 4–13 | -0.08 | 10% | 23 May → | ||
| 9–13 | -0.04 | 24% | 23 May → | ||
| 11–13 | -0.08 | 7% | 15 Feb → | ||
| 2–13 | -0.11 | 3% | 15 Feb → | ||
| 13–11 | -0.02 | 10% | 7 Feb → | ||
| 5–13 | -0.04 | 8% | 7 Feb → | ||
| 10–13 | -0.05 | 5% | 25 Jan → | ||
| 13–11 | 0.03 | 5% | 25 Jan → | ||
| 8–13 | -0.05 | 9% | 25 Jan → | ||
| 13–6 | -0.08 | 6% | 23 Jan → | ||
| 13–4 | 0.02 | 6% | 23 Jan → | ||
| 4–13 | -0.06 | 7% | 19 Jan → | ||
| 13–9 | -0.01 | 4% | 19 Jan → | ||
| 11–13 | -0.02 | 11% | 19 Jan → | ||
| 15–15 | -0.00 | 13% | 18 Jan → | ||
| 13–6 | -0.00 | 1% | 18 Jan → | ||
| 13–7 | -0.03 | 10% | 18 Jan → | ||
| 13–8 | -0.04 | 2% | 18 Jan → | ||
| 9–13 | -0.03 | 7% | 16 Jan → | ||
| 7–13 | -0.04 | 17% | 13 Jan → | ||
| 13–10 | 0.08 | 12% | 13 Jan → | ||
| 8–13 | -0.03 | 19% | 13 Jan → | ||
| 5–13 | -0.07 | 8% | 6 Jan → | ||
| 8–13 | -0.05 | 10% | 4 Jan → | ||
| 10–13 | 0.01 | 10% | 4 Jan → | ||
| 13–10 | 0.01 | 4% | 4 Jan → | ||
| 11–13 | -0.00 | 7% | 2 Jan → | ||
| 13–8 | -0.10 | 9% | 2 Jan → | ||
| 9–13 | -0.08 | 0% | 2 Jan → | ||
| 13–10 | -0.04 | 7% | 2 Jan → | ||
| 13–6 | -0.02 | 10% | 1 Jan → | ||
| 13–6 | -0.05 | 11% | 1 Jan → | ||
| 5–13 | -0.05 | 16% | 1 Jan → | ||
| 13–10 | -0.03 | 9% | 1 Jan → | ||
| 9–13 | -0.07 | 4% | 1 Jan → | ||
| 13–9 | 0.02 | 7% | 1 Jan → | ||
| 13–11 | -0.03 | 5% | 28 Nov → | ||
| 11–13 | -0.02 | 13% | 19 Nov → | ||
| 4–13 | -0.04 | 6% | 18 Nov → | ||
| 10–13 | -0.02 | 3% | 18 Nov → | ||
| 7–13 | -0.02 | 10% | 18 Nov → | ||
| 13–6 | -0.05 | 13% | 18 Nov → | ||
| 14–16 | -0.03 | 7% | 17 Nov → | ||
| 13–6 | 0.09 | 9% | 17 Nov → | ||
| 13–7 | 0.07 | 8% | 13 Nov → | ||
| 13–11 | 0.02 | 11% | 13 Nov → | ||
| 13–7 | -0.05 | 7% | 12 Nov → | ||
| 13–8 | -0.01 | 9% | 11 Nov → | ||
| 10–13 | -0.05 | 11% | 11 Nov → | ||
| 12–16 | 0.01 | 13% | 11 Nov → | ||
| 6–13 | 0.00 | 14% | 9 Nov → | ||
| 11–13 | -0.03 | 11% | 9 Nov → | ||
| 3–13 | -0.06 | 14% | 8 Nov → |
Match data via Leetify.