Laski — CS2 Stats
PRO“bucklas”Content CreatorUnited StatesRiflerSettings & gear profile →
US76561198030528189[U:1:70262461]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 3,403
- Next: 3,500 ELO at 3,500 — 97 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 28,918
- Next: Gold band at 30,000 — 1,082 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong 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 jL 97% playstyle similarity
Most alike: positioning profile, 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 58% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 610ms 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 8.0/10 (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 | 34 | 20–14 | 59% | 0.04 | |
| B | 30 | 16–14 | 53% | 0.02 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| S | 10 | 9–1 | 90% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.06 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 3 | 0–3 | 0% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1205 | 53% | 1.37 | 18.8 |
| Ancient | 556 | 55% | 1.37 | 19.2 |
| Dust2 | 514 | 53% | 1.41 | 18.1 |
| Anubis | 478 | 54% | 1.35 | 18.8 |
| Nuke | 243 | 53% | 1.28 | 17.7 |
| Vertigo | 200 | 54% | 1.29 | 18.2 |
| Overpass | 157 | 50% | 1.34 | 18.6 |
| Inferno | 139 | 53% | 1.34 | 18.8 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | -0.02 | 21% | 21 Aug → | ||
| 5–13 | -0.07 | 24% | 21 Aug → | ||
| 9–13 | 0.00 | 14% | 16 Aug → | ||
| 13–2 | 0.16 | 18% | 12 Aug → | ||
| 8–13 | -0.01 | 33% | 11 Aug → | ||
| 13–3 | 0.02 | 17% | 10 Aug → | ||
| 13–6 | 0.08 | 21% | 10 Aug → | ||
| 13–8 | 0.03 | 23% | 10 Aug → | ||
| 0–4 | -0.09 | 100% | 9 Aug → | ||
| 0–3 | -0.04 | 0% | 9 Aug → | ||
| 10–13 | 0.07 | 16% | 8 Aug → | ||
| 13–5 | 0.02 | 29% | 8 Aug → | ||
| 13–11 | 0.00 | 23% | 8 Aug → | ||
| 13–2 | 0.02 | 21% | 6 Aug → | ||
| 0–3 | -0.14 | 33% | 5 Aug → | ||
| 7–13 | 0.05 | 21% | 31 Jul → | ||
| 13–5 | 0.14 | 44% | 29 Jul → | ||
| 13–2 | 0.07 | 33% | 29 Jul → | ||
| 2–8 | -0.02 | 22% | 29 Jul → | ||
| 13–6 | 0.12 | 19% | 28 Jul → | ||
| 5–13 | -0.02 | 17% | 28 Jul → | ||
| 8–13 | 0.09 | 16% | 28 Jul → | ||
| 13–4 | 0.04 | 17% | 27 Jul → | ||
| 13–6 | -0.01 | 18% | 25 Jul → | ||
| 0–2 | 0.02 | 50% | 25 Jul → | ||
| 13–3 | 0.00 | 23% | 21 Jul → | ||
| 5–13 | -0.04 | 8% | 21 Jul → | ||
| 6–13 | -0.05 | 36% | 18 Jul → | ||
| 13–2 | 0.07 | 18% | 15 Jul → | ||
| 16–13 | 0.03 | 23% | 15 Jul → | ||
| 16–14 | 0.13 | 21% | 13 Jul → | ||
| 13–2 | 0.04 | 21% | 12 Jul → | ||
| 13–4 | 0.09 | 35% | 10 Jul → | ||
| 13–5 | 0.03 | 23% | 10 Jul → | ||
| 13–2 | 0.03 | 22% | 9 Jul → | ||
| 13–11 | 0.15 | 14% | 9 Jul → | ||
| 13–8 | 0.09 | 37% | 9 Jul → | ||
| 13–11 | 0.04 | 15% | 9 Jul → | ||
| 13–6 | 0.02 | 31% | 9 Jul → | ||
| 13–8 | 0.04 | 32% | 9 Jul → | ||
| 13–5 | 0.06 | 38% | 8 Jul → | ||
| 9–13 | 0.04 | 27% | 4 Jul → | ||
| 13–11 | 0.02 | 33% | 4 Jul → | ||
| 9–13 | -0.06 | 13% | 1 Jul → | ||
| 13–9 | 0.03 | 27% | 29 Jun → | ||
| 15–15 | 0.03 | 30% | 29 Jun → | ||
| 13–11 | 0.04 | 24% | 28 Jun → | ||
| 7–13 | 0.02 | 22% | 26 Jun → | ||
| 10–13 | 0.02 | 24% | 26 Jun → | ||
| 11–13 | 0.02 | 16% | 25 Jun → | ||
| 1–13 | 0.00 | 26% | 25 Jun → | ||
| 7–13 | 0.02 | 24% | 25 Jun → | ||
| 13–8 | 0.01 | 26% | 25 Jun → | ||
| 13–5 | 0.09 | 19% | 24 Jun → | ||
| 3–13 | -0.01 | 18% | 24 Jun → | ||
| 6–13 | -0.00 | 30% | 24 Jun → | ||
| 13–9 | 0.08 | 25% | 24 Jun → | ||
| 9–13 | 0.06 | 26% | 23 Jun → | ||
| 4–13 | 0.06 | 18% | 23 Jun → | ||
| 9–13 | 0.06 | 34% | 23 Jun → | ||
| 3–13 | 0.02 | 18% | 23 Jun → | ||
| 13–10 | 0.04 | 21% | 21 Jun → | ||
| 13–7 | 0.04 | 20% | 21 Jun → | ||
| 13–9 | 0.06 | 26% | 21 Jun → | ||
| 13–7 | 0.04 | 23% | 21 Jun → | ||
| 13–8 | 0.03 | 29% | 20 Jun → | ||
| 13–9 | 0.02 | 28% | 20 Jun → | ||
| 2–13 | -0.03 | 13% | 20 Jun → | ||
| 13–9 | -0.00 | 26% | 20 Jun → | ||
| 13–11 | 0.02 | 24% | 19 Jun → | ||
| 11–13 | -0.02 | 21% | 17 Jun → | ||
| 0–2 | -0.11 | 0% | 17 Jun → | ||
| 15–15 | 0.10 | 19% | 17 Jun → | ||
| 13–8 | 0.06 | 28% | 17 Jun → | ||
| 13–7 | 0.05 | 19% | 17 Jun → | ||
| 13–2 | 0.05 | 13% | 17 Jun → | ||
| 13–8 | 0.01 | 62% | 7 Jun → | ||
| 13–4 | -0.02 | 15% | 6 Jun → | ||
| 0–13 | -0.06 | 0% | 2 Jun → | ||
| 13–8 | 0.03 | 25% | 1 Jun → | ||
| 13–7 | 0.04 | 28% | 1 Jun → | ||
| 6–13 | 0.02 | 22% | 1 Jun → | ||
| 13–6 | 0.07 | 12% | 31 May → | ||
| 13–10 | 0.02 | 14% | 31 May → | ||
| 13–10 | 0.04 | 22% | 31 May → | ||
| 4–13 | -0.05 | 33% | 30 May → | ||
| 4–13 | 0.00 | 18% | 30 May → | ||
| 2–13 | -0.09 | 10% | 30 May → | ||
| 17–19 | 0.04 | 23% | 29 May → | ||
| 13–6 | 0.05 | 21% | 28 May → | ||
| 13–5 | 0.03 | 16% | 28 May → | ||
| 2–13 | -0.04 | 17% | 28 May → | ||
| 13–6 | 0.06 | 20% | 28 May → | ||
| 13–7 | 0.07 | 19% | 27 May → | ||
| 3–13 | -0.07 | 33% | 26 May → | ||
| 4–13 | -0.04 | 18% | 26 May → | ||
| 8–13 | 0.01 | 30% | 26 May → | ||
| 6–13 | 0.04 | 28% | 25 May → | ||
| 8–13 | -0.02 | 25% | 25 May → | ||
| 13–2 | 0.09 | 25% | 25 May → |
Match data via Leetify.