coldzera — CS2 Stats
PRO“:)”Free AgentBrazilRiflerSettings & gear profile →
BR76561198039986599[U:1:79720871]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 28,375
- Next: Gold band at 30,000 — 1,625 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: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side openerEffective 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 s1mple 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower 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. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.75 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 62% on CT to 42% 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 8.8/10 (Elite), 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 | 37 | 26–11 | 70% | 0.06 | |
| S | 30 | 23–7 | 77% | 0.05 | |
| S | 10 | 10–0 | 100% | 0.06 | |
| S | 9 | 8–1 | 89% | 0.08 | |
| S | 8 | 8–0 | 100% | 0.10 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 2 | 2–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (70% over 37). Start with the 6 essential Dust 2 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 | 145 | 63% | 1.54 | 18.5 |
| Dust2 | 114 | 65% | 1.60 | 19.6 |
| Nuke | 82 | 60% | 1.71 | 18.3 |
| Ancient | 72 | 68% | 1.85 | 19.2 |
| Anubis | 69 | 67% | 1.58 | 18.8 |
| Overpass | 27 | 56% | 1.54 | 20.4 |
| Vertigo | 24 | 54% | 1.72 | 20.9 |
| Cache | 11 | 64% | 1.78 | 21.6 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.04 | 18% | 26 Aug → | ||
| 13–4 | 0.07 | 26% | 26 Aug → | ||
| 13–10 | 0.11 | 42% | 26 Aug → | ||
| 10–13 | 0.09 | 19% | 13 Aug → | ||
| 13–8 | 0.02 | 22% | 13 Aug → | ||
| 13–7 | 0.10 | 23% | 12 Aug → | ||
| 13–8 | 0.09 | 15% | 12 Aug → | ||
| 13–3 | 0.11 | 30% | 12 Aug → | ||
| 13–10 | 0.10 | 23% | 6 Aug → | ||
| 13–8 | 0.02 | 16% | 5 Aug → | ||
| 10–13 | 0.05 | 30% | 5 Aug → | ||
| 13–6 | 0.04 | 24% | 5 Aug → | ||
| 13–5 | 0.15 | 22% | 5 Aug → | ||
| 13–3 | 0.08 | 15% | 29 Jul → | ||
| 13–4 | 0.07 | 19% | 29 Jul → | ||
| 10–13 | 0.03 | 29% | 29 Jul → | ||
| 13–7 | 0.05 | 22% | 28 Jul → | ||
| 13–4 | 0.13 | 30% | 28 Jul → | ||
| 13–3 | 0.12 | 21% | 28 Jul → | ||
| 7–13 | -0.02 | 18% | 28 Jul → | ||
| 13–10 | 0.06 | 20% | 24 Jul → | ||
| 13–5 | 0.05 | 18% | 24 Jul → | ||
| 13–2 | 0.14 | 29% | 22 Jul → | ||
| 13–7 | 0.16 | 31% | 22 Jul → | ||
| 13–6 | 0.04 | 24% | 22 Jul → | ||
| 13–4 | 0.06 | 15% | 22 Jul → | ||
| 5–13 | 0.04 | 23% | 22 Jul → | ||
| 10–13 | 0.01 | 16% | 21 Jul → | ||
| 13–7 | 0.03 | 19% | 21 Jul → | ||
| 10–13 | 0.07 | 27% | 17 Jul → | ||
| 13–4 | 0.03 | 17% | 17 Jul → | ||
| 16–13 | 0.14 | 14% | 16 Jul → | ||
| 13–10 | 0.01 | 20% | 16 Jul → | ||
| 13–7 | -0.05 | 20% | 16 Jul → | ||
| 13–7 | 0.07 | 21% | 12 Jul → | ||
| 13–6 | 0.09 | 23% | 3 Jul → | ||
| 16–14 | 0.12 | 26% | 3 Jul → | ||
| 13–4 | 0.05 | 20% | 3 Jul → | ||
| 13–7 | 0.03 | 22% | 3 Jul → | ||
| 13–9 | 0.10 | 33% | 1 Jul → | ||
| 13–4 | 0.07 | 23% | 30 Jun → | ||
| 13–6 | -0.01 | 20% | 27 Jun → | ||
| 13–5 | 0.05 | 15% | 27 Jun → | ||
| 13–4 | 0.14 | 32% | 26 Jun → | ||
| 16–14 | 0.09 | 27% | 26 Jun → | ||
| 9–13 | 0.00 | 29% | 24 Jun → | ||
| 13–11 | 0.00 | 25% | 9 Jun → | ||
| 13–16 | -0.03 | 20% | 9 Jun → | ||
| 13–10 | 0.03 | 27% | 3 Jun → | ||
| 13–4 | -0.03 | 19% | 3 Jun → | ||
| 13–4 | 0.06 | 23% | 2 Jun → | ||
| 13–4 | 0.11 | 11% | 2 Jun → | ||
| 13–3 | 0.01 | 21% | 27 May → | ||
| 13–3 | 0.07 | 22% | 27 May → | ||
| 13–3 | -0.01 | 26% | 22 May → | ||
| 13–1 | 0.08 | 32% | 21 May → | ||
| 13–0 | 0.08 | 34% | 21 May → | ||
| 13–2 | 0.08 | 20% | 21 May → | ||
| 13–7 | 0.07 | 28% | 21 May → | ||
| 13–5 | 0.06 | 21% | 20 May → | ||
| 13–3 | 0.07 | 29% | 20 May → | ||
| 11–13 | 0.06 | 26% | 20 May → | ||
| 13–8 | 0.06 | 28% | 19 May → | ||
| 13–2 | 0.07 | 30% | 19 May → | ||
| 8–13 | 0.04 | 27% | 19 May → | ||
| 13–3 | 0.19 | 23% | 18 May → | ||
| 13–4 | 0.08 | 29% | 18 May → | ||
| 13–3 | 0.04 | 38% | 18 May → | ||
| 11–13 | -0.04 | 23% | 18 May → | ||
| 13–10 | 0.08 | 22% | 15 May → | ||
| 13–8 | 0.02 | 27% | 15 May → | ||
| 3–13 | 0.07 | 22% | 13 May → | ||
| 13–4 | 0.08 | 35% | 12 May → | ||
| 13–8 | 0.08 | 13% | 7 May → | ||
| 13–10 | 0.06 | 25% | 7 May → | ||
| 13–3 | 0.05 | 13% | 5 May → | ||
| 13–4 | 0.08 | 24% | 30 Apr → | ||
| 8–13 | 0.03 | 20% | 29 Apr → | ||
| 13–11 | 0.11 | 22% | 29 Apr → | ||
| 13–2 | 0.04 | 16% | 29 Apr → | ||
| 13–1 | 0.15 | 40% | 29 Apr → | ||
| 13–10 | 0.02 | 24% | 29 Apr → | ||
| 13–6 | 0.10 | 28% | 29 Apr → | ||
| 9–13 | 0.02 | 24% | 28 Apr → | ||
| 13–7 | 0.07 | 12% | 28 Apr → | ||
| 13–11 | -0.01 | 26% | 28 Apr → | ||
| 13–3 | 0.13 | 34% | 23 Apr → | ||
| 11–13 | 0.03 | 31% | 23 Apr → | ||
| 13–10 | 0.08 | 18% | 23 Apr → | ||
| 13–10 | 0.12 | 25% | 14 Apr → | ||
| 9–13 | 0.03 | 21% | 14 Apr → | ||
| 13–6 | 0.16 | 24% | 9 Apr → | ||
| 13–5 | 0.03 | 23% | 9 Apr → | ||
| 16–19 | 0.03 | 24% | 9 Apr → | ||
| 13–5 | 0.15 | 18% | 9 Apr → | ||
| 13–10 | 0.02 | 26% | 9 Apr → | ||
| 13–6 | 0.13 | 17% | 9 Apr → | ||
| 5–13 | -0.09 | 20% | 9 Apr → | ||
| 13–1 | 0.08 | 23% | 8 Apr → | ||
| 8–13 | 0.02 | 30% | 7 Apr → |
Match data via Leetify.