jL — CS2 Stats
PROTeam VitalityLithuaniaRiflerSettings & gear profile →
76561198176878303[U:1:216612575]
Rating over time
Faceit ELO
- At peak — 3,584
- Next: 4,000 ELO at 4,000 — 416 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashes
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 97% playstyle similarity
Most alike: opening-fight frequency, 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 93 — the mechanical foundation is a clear strength.
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 7.4/10 (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 | 30 | 19–11 | 63% | 0.05 | |
| S | 22 | 16–6 | 73% | 0.05 | |
| C | 10 | 4–6 | 40% | 0.04 | |
| B | 10 | 5–5 | 50% | 0.05 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.06 | |
| S | 6 | 4–2 | 67% | 0.05 | |
| — | 3 | 3–0 | 100% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 413 | 62% | 1.50 | 20.3 |
| Ancient | 261 | 61% | 1.50 | 19.9 |
| Anubis | 221 | 62% | 1.47 | 19.9 |
| Dust2 | 94 | 56% | 1.50 | 19.8 |
| Inferno | 93 | 59% | 1.56 | 19.2 |
| Nuke | 89 | 70% | 1.42 | 18.6 |
| Overpass | 39 | 69% | 1.39 | 19.3 |
| Cache | 18 | 61% | 1.57 | 22.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.00 | 23% | 27 Aug → | ||
| 13–16 | -0.03 | 29% | 27 Aug → | ||
| 13–8 | 0.09 | 35% | 24 Aug → | ||
| 13–3 | 0.13 | 49% | 17 Aug → | ||
| 13–8 | 0.00 | 24% | 17 Aug → | ||
| 13–11 | 0.04 | 26% | 17 Aug → | ||
| 13–10 | 0.10 | 32% | 17 Aug → | ||
| 6–13 | -0.01 | 30% | 17 Aug → | ||
| 14–16 | 0.01 | 16% | 16 Aug → | ||
| 13–9 | 0.00 | 24% | 16 Aug → | ||
| 13–11 | 0.07 | 23% | 16 Aug → | ||
| 4–9 | -0.05 | 25% | 13 Aug → | ||
| 9–13 | 0.04 | 48% | 12 Aug → | ||
| 9–2 | 0.36 | 29% | 12 Aug → | ||
| 13–9 | -0.02 | 22% | 11 Aug → | ||
| 11–13 | 0.05 | 22% | 11 Aug → | ||
| 13–0 | 0.07 | 29% | 11 Aug → | ||
| 13–4 | 0.13 | 21% | 11 Aug → | ||
| 10–13 | 0.03 | 19% | 11 Aug → | ||
| 10–13 | 0.00 | 13% | 11 Aug → | ||
| 13–11 | -0.04 | 12% | 10 Aug → | ||
| 13–6 | -0.03 | 26% | 10 Aug → | ||
| 7–13 | -0.02 | 31% | 10 Aug → | ||
| 0–13 | -0.05 | 17% | 10 Aug → | ||
| 7–13 | 0.02 | 28% | 10 Aug → | ||
| 4–13 | -0.02 | 38% | 10 Aug → | ||
| 13–10 | -0.04 | 23% | 9 Aug → | ||
| 12–16 | -0.09 | 31% | 9 Aug → | ||
| 8–13 | 0.03 | 26% | 9 Aug → | ||
| 8–13 | -0.02 | 22% | 8 Aug → | ||
| 9–13 | 0.06 | 19% | 8 Aug → | ||
| 13–3 | 0.11 | 41% | 8 Aug → | ||
| 13–10 | 0.11 | 34% | 8 Aug → | ||
| 13–8 | 0.18 | 21% | 8 Aug → | ||
| 13–6 | 0.12 | 43% | 8 Aug → | ||
| 14–16 | 0.02 | 21% | 7 Aug → | ||
| 13–1 | 0.12 | 20% | 7 Aug → | ||
| 13–3 | 0.08 | 22% | 7 Aug → | ||
| 13–8 | 0.03 | 35% | 7 Aug → | ||
| 7–13 | -0.00 | 32% | 5 Aug → | ||
| 13–11 | 0.07 | 23% | 5 Aug → | ||
| 10–13 | 0.06 | 23% | 5 Aug → | ||
| 13–8 | -0.02 | 28% | 5 Aug → | ||
| 13–8 | 0.06 | 29% | 4 Aug → | ||
| 13–9 | 0.12 | 29% | 4 Aug → | ||
| 13–11 | 0.04 | 25% | 3 Aug → | ||
| 13–1 | 0.07 | 25% | 3 Aug → | ||
| 13–10 | 0.04 | 39% | 2 Aug → | ||
| 11–13 | 0.10 | 22% | 2 Aug → | ||
| 19–17 | 0.08 | 27% | 1 Aug → | ||
| 11–13 | 0.06 | 20% | 1 Aug → | ||
| 13–10 | 0.11 | 24% | 1 Aug → | ||
| 11–13 | 0.05 | 30% | 29 Jul → | ||
| 13–5 | 0.03 | 24% | 27 Jul → | ||
| 13–10 | 0.03 | 35% | 27 Jul → | ||
| 14–16 | 0.00 | 23% | 25 Jul → | ||
| 13–6 | 0.02 | 21% | 19 Jul → | ||
| 13–11 | -0.02 | 25% | 19 Jul → | ||
| 13–7 | 0.04 | 29% | 16 Jul → | ||
| 3–13 | 0.01 | 21% | 16 Jul → | ||
| 13–8 | 0.09 | 32% | 16 Jul → | ||
| 13–2 | 0.15 | 39% | 15 Jul → | ||
| 13–6 | 0.06 | 31% | 15 Jul → | ||
| 13–1 | 0.18 | 19% | 9 Jul → | ||
| 11–13 | 0.05 | 42% | 9 Jul → | ||
| 13–7 | 0.07 | 27% | 9 Jul → | ||
| 5–13 | 0.04 | 56% | 9 Jul → | ||
| 9–13 | 0.01 | 27% | 9 Jul → | ||
| 0–2 | 0.00 | 0% | 9 Jul → | ||
| 0–13 | -0.03 | 0% | 9 Jul → | ||
| 13–2 | -0.08 | 60% | 9 Jul → | ||
| 2–13 | -0.02 | 40% | 9 Jul → | ||
| 13–2 | 0.05 | 37% | 9 Jul → | ||
| 13–9 | 0.06 | 33% | 9 Jul → | ||
| 5–13 | 0.00 | 56% | 9 Jul → | ||
| 13–5 | 0.21 | 40% | 9 Jul → | ||
| 5–13 | 0.01 | 24% | 9 Jul → | ||
| 13–1 | 0.18 | 41% | 9 Jul → | ||
| 13–0 | 0.07 | 53% | 9 Jul → | ||
| 13–11 | 0.12 | 35% | 6 Jul → | ||
| 5–12 | 0.00 | 28% | 6 Jul → | ||
| 13–6 | -0.02 | 39% | 6 Jul → | ||
| 2–13 | 0.03 | 50% | 6 Jul → | ||
| 7–13 | 0.07 | 37% | 6 Jul → | ||
| 13–10 | 0.02 | 44% | 5 Jul → | ||
| 13–9 | 0.15 | 56% | 5 Jul → | ||
| 16–14 | 0.14 | 49% | 5 Jul → | ||
| 13–7 | 0.05 | 38% | 3 Jul → | ||
| 13–1 | 0.04 | 23% | 24 May → | ||
| 13–3 | 0.05 | 19% | 24 May → | ||
| 7–13 | -0.01 | 24% | 23 May → | ||
| 13–7 | 0.05 | 31% | 23 May → | ||
| 10–13 | -0.06 | 16% | 23 May → | ||
| 22–20 | 0.03 | 20% | 22 May → | ||
| 13–8 | 0.02 | 29% | 22 May → | ||
| 13–7 | -0.04 | 16% | 22 May → | ||
| 13–4 | 0.02 | 36% | 22 May → | ||
| 13–2 | 0.06 | 42% | 21 May → | ||
| 10–13 | -0.02 | 17% | 21 May → | ||
| 7–13 | -0.01 | 26% | 20 May → |
Match data via Leetify.