lattykk — CS2 Stats
PRO1WINRussiaAWPerSettings & gear profile →
76561198214009861[U:1:253744133]✓ No bans
Rating over time
Faceit ELO
- At peak — 3,652
- Next: 4,000 ELO at 4,000 — 348 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 ZywOo 96% playstyle similarity
Most alike: utility contribution, 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
Strengths
Aim. Aim score of 97 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.
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 |
|---|---|---|---|---|---|
| S | 27 | 20–7 | 74% | 0.05 | |
| S | 26 | 17–9 | 65% | 0.05 | |
| S | 21 | 14–7 | 67% | 0.04 | |
| S | 9 | 6–3 | 67% | 0.03 | |
| A | 8 | 5–3 | 63% | 0.00 | |
| D | 5 | 1–4 | 20% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.04 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 342 | 60% | 1.52 | 19.6 |
| Dust2 | 222 | 68% | 1.73 | 18.5 |
| Ancient | 161 | 66% | 1.79 | 18.7 |
| Anubis | 128 | 70% | 1.63 | 19.0 |
| Nuke | 45 | 60% | 1.68 | 19.3 |
| Inferno | 44 | 80% | 1.38 | 15.4 |
| Train | 36 | 67% | 1.50 | 17.7 |
| Overpass | 25 | 68% | 1.35 | 16.6 |
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.
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 38.0931% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.06 | 17% | 25 Aug → | ||
| 13–11 | 0.03 | 19% | 25 Aug → | ||
| 13–8 | 0.10 | 25% | 25 Aug → | ||
| 13–5 | 0.02 | 17% | 25 Aug → | ||
| 13–8 | 0.04 | 50% | 24 Aug → | ||
| 14–16 | -0.00 | 30% | 24 Aug → | ||
| 13–11 | 0.01 | 35% | 24 Aug → | ||
| 13–4 | 0.08 | 33% | 24 Aug → | ||
| 19–22 | -0.01 | 39% | 23 Aug → | ||
| 8–13 | 0.01 | 40% | 23 Aug → | ||
| 13–4 | 0.10 | 61% | 22 Aug → | ||
| 4–13 | -0.05 | 25% | 22 Aug → | ||
| 11–13 | 0.00 | 32% | 22 Aug → | ||
| 13–9 | 0.01 | 15% | 21 Aug → | ||
| 13–4 | 0.12 | 83% | 21 Aug → | ||
| 13–9 | 0.05 | 31% | 20 Aug → | ||
| 4–13 | -0.08 | 25% | 20 Aug → | ||
| 13–11 | 0.02 | 38% | 20 Aug → | ||
| 11–13 | 0.11 | 22% | 20 Aug → | ||
| 11–13 | 0.07 | 31% | 20 Aug → | ||
| 13–8 | 0.02 | 10% | 20 Aug → | ||
| 13–10 | 0.03 | 53% | 19 Aug → | ||
| 9–13 | -0.02 | 21% | 19 Aug → | ||
| 13–8 | 0.02 | 21% | 19 Aug → | ||
| 13–2 | 0.05 | 30% | 18 Aug → | ||
| 16–13 | 0.07 | 50% | 18 Aug → | ||
| 11–13 | -0.06 | 14% | 2 Aug → | ||
| 16–14 | 0.05 | 21% | 2 Aug → | ||
| 4–13 | 0.02 | 32% | 2 Aug → | ||
| 13–11 | 0.03 | 21% | 1 Aug → | ||
| 13–4 | 0.07 | 50% | 1 Aug → | ||
| 8–13 | 0.02 | 35% | 1 Aug → | ||
| 13–10 | 0.07 | 48% | 30 Jul → | ||
| 13–7 | 0.05 | 33% | 30 Jul → | ||
| 12–16 | 0.07 | 38% | 30 Jul → | ||
| 13–9 | 0.10 | 35% | 17 Jul → | ||
| 13–6 | 0.05 | 75% | 17 Jul → | ||
| 10–13 | -0.02 | 18% | 7 Jul → | ||
| 16–12 | 0.03 | 34% | 4 Jul → | ||
| 13–1 | 0.17 | 49% | 3 Jul → | ||
| 13–9 | -0.03 | 33% | 20 Jun → | ||
| 7–13 | -0.02 | 20% | 20 Jun → | ||
| 10–13 | 0.03 | 44% | 20 Jun → | ||
| 7–13 | -0.03 | 25% | 19 Jun → | ||
| 16–14 | 0.01 | 11% | 19 Jun → | ||
| 16–12 | -0.02 | 21% | 19 Jun → | ||
| 8–13 | 0.00 | 43% | 14 Jun → | ||
| 11–13 | 0.04 | 57% | 14 Jun → | ||
| 13–0 | 0.10 | 33% | 13 Jun → | ||
| 13–2 | 0.10 | 16% | 9 Jun → | ||
| 13–8 | 0.10 | 48% | 9 Jun → | ||
| 13–6 | 0.15 | 39% | 9 Jun → | ||
| 11–13 | 0.04 | 50% | 6 Jun → | ||
| 4–13 | 0.04 | 41% | 6 Jun → | ||
| 13–10 | 0.07 | 32% | 5 Jun → | ||
| 13–4 | 0.04 | 37% | 5 Jun → | ||
| 8–13 | 0.08 | 32% | 3 Jun → | ||
| 13–8 | 0.07 | 18% | 3 Jun → | ||
| 13–8 | 0.03 | 37% | 3 Jun → | ||
| 10–13 | 0.04 | 12% | 28 May → | ||
| 4–13 | -0.01 | 15% | 26 May → | ||
| 13–8 | 0.05 | 31% | 26 May → | ||
| 13–5 | 0.08 | 28% | 26 May → | ||
| 9–13 | -0.01 | 21% | 26 May → | ||
| 13–3 | 0.10 | 29% | 24 May → | ||
| 13–8 | 0.08 | 38% | 21 May → | ||
| 13–5 | -0.00 | 43% | 21 May → | ||
| 13–6 | 0.07 | 23% | 21 May → | ||
| 13–2 | 0.05 | 24% | 20 May → | ||
| 13–5 | 0.06 | 13% | 20 May → | ||
| 3–13 | -0.01 | 17% | 20 May → | ||
| 13–10 | 0.06 | 22% | 18 May → | ||
| 13–5 | 0.02 | 28% | 18 May → | ||
| 11–13 | 0.03 | 38% | 30 Apr → | ||
| 16–13 | 0.03 | 46% | 29 Apr → | ||
| 16–14 | 0.04 | 33% | 27 Apr → | ||
| 13–4 | 0.13 | 30% | 23 Apr → | ||
| 13–6 | 0.03 | 22% | 23 Apr → | ||
| 6–13 | 0.04 | 37% | 23 Apr → | ||
| 13–3 | 0.12 | 31% | 22 Apr → | ||
| 13–10 | 0.11 | 56% | 22 Apr → | ||
| 13–11 | 0.05 | 35% | 22 Apr → | ||
| 13–7 | 0.06 | 47% | 22 Apr → | ||
| 13–2 | 0.14 | 29% | 22 Apr → | ||
| 13–4 | 0.03 | 34% | 22 Apr → | ||
| 13–4 | -0.00 | 9% | 21 Apr → | ||
| 7–13 | 0.03 | 25% | 21 Apr → | ||
| 9–13 | 0.05 | 41% | 21 Apr → | ||
| 7–13 | -0.02 | 28% | 19 Apr → | ||
| 13–16 | 0.04 | 21% | 19 Apr → | ||
| 13–10 | 0.12 | 28% | 17 Apr → | ||
| 13–9 | 0.07 | 36% | 17 Apr → | ||
| 10–13 | -0.03 | 11% | 16 Apr → | ||
| 3–13 | -0.05 | 50% | 16 Apr → | ||
| 13–8 | 0.05 | 37% | 14 Apr → | ||
| 16–14 | 0.05 | 43% | 14 Apr → | ||
| 11–13 | -0.01 | 27% | 13 Apr → | ||
| 13–9 | 0.02 | 29% | 13 Apr → | ||
| 22–19 | 0.03 | 41% | 5 Apr → | ||
| 13–7 | -0.02 | 20% | 5 Apr → |
Match data via Leetify.