chelo — CS2 Stats
PRO“Jorge”Imperial EsportsBrazilRiflerSettings & gear profile →
BR76561198067763828[U:1:107498100]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 27,543
- Next: Gold band at 30,000 — 2,457 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 · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 ropz 96% playstyle similarity
Most alike: positioning profile, 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 90 — the mechanical foundation is a clear strength.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 11.1° off target when enemies appear — placement, not flicking, is the bigger win available.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 65% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
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 7.5/10 (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 | 24 | 18–6 | 75% | 0.03 | |
| A | 21 | 12–9 | 57% | 0.01 | |
| S | 19 | 14–5 | 74% | -0.00 | |
| S | 16 | 12–4 | 75% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.03 | |
| S | 7 | 6–1 | 86% | 0.05 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| — | 1 | 0–1 | 0% | 0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 88 | 70% | 1.41 | 17.7 |
| Dust2 | 57 | 75% | 1.48 | 18.2 |
| Nuke | 33 | 64% | 1.19 | 16.2 |
| Ancient | 21 | 62% | 1.55 | 17.9 |
| Inferno | 17 | 76% | 1.27 | 16.7 |
| Anubis | 15 | 67% | 1.44 | 17.8 |
| Overpass | 14 | 43% | 1.45 | 16.6 |
| Train | 13 | 69% | 1.47 | 19.1 |
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 | |
|---|---|---|---|---|---|
| 13–3 | 0.02 | 23% | 27 Aug → | ||
| 7–0 | 0.13 | 30% | 27 Aug → | ||
| 3–9 | -0.04 | 37% | 27 Aug → | ||
| 6–5 | -0.04 | 45% | 27 Aug → | ||
| 6–5 | 0.08 | 22% | 27 Aug → | ||
| 13–3 | 0.00 | 29% | 25 Aug → | ||
| 13–6 | 0.03 | 20% | 25 Aug → | ||
| 6–13 | 0.03 | 36% | 21 Aug → | ||
| 16–12 | 0.02 | 23% | 16 Aug → | ||
| 13–7 | 0.01 | 37% | 16 Aug → | ||
| 13–4 | 0.03 | 19% | 15 Aug → | ||
| 13–10 | 0.02 | 24% | 15 Aug → | ||
| 9–13 | -0.09 | 17% | 15 Aug → | ||
| 13–1 | 0.04 | 12% | 14 Aug → | ||
| 13–4 | 0.03 | 25% | 14 Aug → | ||
| 13–4 | 0.10 | 28% | 13 Aug → | ||
| 13–10 | 0.06 | 31% | 8 Aug → | ||
| 13–8 | 0.02 | 38% | 8 Aug → | ||
| 13–16 | 0.02 | 23% | 8 Aug → | ||
| 2–13 | -0.06 | 43% | 5 Aug → | ||
| 13–9 | 0.07 | 26% | 5 Aug → | ||
| 13–9 | -0.01 | 30% | 5 Aug → | ||
| 13–9 | 0.01 | 25% | 3 Aug → | ||
| 13–3 | 0.00 | 28% | 3 Aug → | ||
| 9–13 | -0.04 | 21% | 31 Jul → | ||
| 13–5 | -0.01 | 19% | 31 Jul → | ||
| 8–13 | -0.01 | 31% | 31 Jul → | ||
| 9–13 | -0.02 | 25% | 30 Jul → | ||
| 14–16 | 0.03 | 25% | 30 Jul → | ||
| 13–9 | 0.02 | 29% | 30 Jul → | ||
| 13–4 | 0.00 | 19% | 28 Jul → | ||
| 16–13 | -0.05 | 17% | 28 Jul → | ||
| 13–5 | 0.09 | 38% | 25 Jul → | ||
| 13–5 | 0.11 | 27% | 25 Jul → | ||
| 13–11 | -0.00 | 14% | 25 Jul → | ||
| 13–6 | 0.06 | 24% | 25 Jul → | ||
| 8–13 | 0.08 | 24% | 25 Jul → | ||
| 10–13 | 0.06 | 25% | 25 Jul → | ||
| 7–13 | 0.12 | 32% | 25 Jul → | ||
| 16–14 | 0.18 | 35% | 25 Jul → | ||
| 13–7 | 0.15 | 48% | 25 Jul → | ||
| 4–13 | 0.03 | 41% | 24 Jul → | ||
| 16–13 | 0.07 | 40% | 23 Jul → | ||
| 13–11 | 0.11 | 27% | 23 Jul → | ||
| 13–7 | 0.18 | 23% | 23 Jul → | ||
| 11–13 | 0.12 | 30% | 23 Jul → | ||
| 16–13 | 0.17 | 22% | 22 Jul → | ||
| 6–13 | -0.02 | 38% | 16 Jul → | ||
| 13–7 | 0.03 | 25% | 16 Jul → | ||
| 15–19 | -0.02 | 25% | 16 Jul → | ||
| 13–9 | 0.05 | 23% | 13 Jul → | ||
| 13–6 | 0.08 | 25% | 13 Jul → | ||
| 13–4 | -0.03 | 19% | 12 Jul → | ||
| 13–11 | -0.05 | 38% | 12 Jul → | ||
| 13–5 | 0.10 | 37% | 11 Jul → | ||
| 13–5 | 0.01 | 19% | 11 Jul → | ||
| 11–13 | 0.02 | 27% | 11 Jul → | ||
| 13–9 | 0.04 | 18% | 10 Jul → | ||
| 13–11 | 0.00 | 21% | 10 Jul → | ||
| 13–1 | 0.07 | 20% | 9 Jul → | ||
| 13–7 | -0.01 | 26% | 9 Jul → | ||
| 13–11 | -0.01 | 31% | 8 Jul → | ||
| 13–8 | -0.02 | 15% | 8 Jul → | ||
| 13–10 | 0.03 | 31% | 6 Jul → | ||
| 13–11 | 0.04 | 24% | 6 Jul → | ||
| 11–13 | -0.02 | 36% | 29 May → | ||
| 10–13 | -0.01 | 24% | 10 May → | ||
| 5–13 | -0.08 | 23% | 10 May → | ||
| 13–7 | 0.07 | 26% | 10 May → | ||
| 13–2 | 0.06 | 35% | 10 May → | ||
| 10–13 | -0.04 | 21% | 10 May → | ||
| 16–14 | -0.03 | 28% | 9 May → | ||
| 7–13 | -0.02 | 18% | 9 May → | ||
| 9–13 | -0.02 | 24% | 9 May → | ||
| 13–3 | 0.05 | 23% | 7 May → | ||
| 8–2 | -0.00 | 25% | 7 May → | ||
| 10–13 | -0.02 | 18% | 4 May → | ||
| 13–9 | -0.01 | 26% | 4 May → | ||
| 13–9 | 0.00 | 16% | 4 May → | ||
| 13–11 | 0.05 | 33% | 1 May → | ||
| 13–2 | 0.13 | 23% | 1 May → | ||
| 13–8 | -0.07 | 10% | 1 May → | ||
| 16–13 | -0.03 | 20% | 29 Apr → | ||
| 13–11 | 0.04 | 12% | 29 Apr → | ||
| 4–13 | -0.02 | 15% | 29 Apr → | ||
| 13–9 | -0.02 | 20% | 27 Apr → | ||
| 13–5 | 0.01 | 15% | 27 Apr → | ||
| 14–16 | -0.04 | 26% | 26 Apr → | ||
| 13–9 | -0.05 | 27% | 26 Apr → | ||
| 13–3 | -0.02 | 15% | 26 Apr → | ||
| 6–13 | -0.03 | 32% | 26 Apr → | ||
| 13–10 | 0.00 | 17% | 26 Apr → | ||
| 11–13 | -0.03 | 21% | 26 Apr → | ||
| 13–6 | 0.03 | 12% | 24 Apr → | ||
| 13–2 | 0.01 | 26% | 24 Apr → | ||
| 10–13 | 0.06 | 23% | 7 Apr → | ||
| 13–7 | 0.08 | 32% | 7 Apr → | ||
| 10–13 | -0.00 | 32% | 3 Apr → | ||
| 11–13 | -0.05 | 14% | 3 Apr → | ||
| 5–13 | -0.04 | 26% | 2 Apr → |
Match data via Leetify.