Rating over time
Faceit ELO
- At peak — 2,684
- Next: 3,000 ELO at 3,000 — 316 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-08-28
- Level 10 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: +30pp win rate · +0.03 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Sharp aimerStrong CT-side openerHigh utility contribution
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 NiKo 92% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 87 — the mechanical foundation is a clear strength.
Utility. Utility score of 76 — grenade impact well above the norm.
Areas to improve
Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 55% on CT to 18% 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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 25 | 15–10 | 60% | 0.01 | |
| C | 20 | 8–12 | 40% | -0.01 | |
| B | 15 | 7–8 | 47% | -0.02 | |
| A | 14 | 9–5 | 64% | -0.01 | |
| S | 13 | 9–4 | 69% | 0.03 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 19 | 47% | 1.19 | 21.7 |
| Anubis | 16 | 81% | 1.54 | 19.3 |
| Dust2 | 13 | 92% | 1.71 | 25.1 |
| Nuke | 11 | 64% | 1.96 | 20.4 |
| Vertigo | 8 | 62% | 1.16 | 17.5 |
| Overpass | 4 | 50% | 1.31 | 15.3 |
| Inferno | 3 | 33% | 1.78 | 25.3 |
| Ancient | 2 | 100% | 1.79 | 19.0 |
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 17.5954% — 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.
40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.12 | 37% | 12 Aug → | ||
| 13–9 | 0.11 | 26% | 6 Aug → | ||
| 4–13 | -0.02 | 20% | 20 Jun → | ||
| 9–13 | 0.03 | 10% | 20 Jun → | ||
| 13–6 | 0.00 | 36% | 18 Jun → | ||
| 13–9 | 0.03 | 25% | 18 Jun → | ||
| 13–1 | 0.02 | 14% | 14 Jun → | ||
| 13–5 | -0.00 | 14% | 14 Jun → | ||
| 13–8 | 0.03 | 26% | 13 Jun → | ||
| 13–7 | -0.03 | 12% | 13 Jun → | ||
| 5–13 | -0.07 | 22% | 12 Jun → | ||
| 4–13 | -0.03 | 21% | 12 Jun → | ||
| 13–9 | 0.08 | 25% | 12 Jun → | ||
| 13–10 | 0.00 | 26% | 11 Jun → | ||
| 13–7 | 0.02 | 25% | 11 Jun → | ||
| 8–13 | -0.01 | 21% | 15 May → | ||
| 11–13 | -0.03 | 14% | 15 May → | ||
| 13–11 | 0.02 | 17% | 13 May → | ||
| 13–10 | -0.05 | 26% | 13 May → | ||
| 11–13 | 0.05 | 24% | 12 May → | ||
| 15–19 | -0.04 | 21% | 12 May → | ||
| 16–14 | -0.02 | 14% | 11 May → | ||
| 13–7 | -0.05 | 28% | 11 May → | ||
| 13–3 | 0.08 | 25% | 10 May → | ||
| 13–4 | 0.04 | 24% | 10 May → | ||
| 11–13 | 0.00 | 12% | 9 May → | ||
| 8–13 | -0.05 | 11% | 9 May → | ||
| 13–11 | 0.01 | 28% | 15 Apr → | ||
| 4–13 | -0.06 | 18% | 15 Apr → | ||
| 4–13 | -0.03 | 14% | 15 Apr → | ||
| 13–7 | -0.03 | 31% | 15 Apr → | ||
| 13–6 | -0.09 | 18% | 15 Apr → | ||
| 8–13 | -0.02 | 23% | 14 Apr → | ||
| 4–13 | -0.05 | 22% | 14 Apr → | ||
| 16–13 | -0.01 | 24% | 13 Apr → | ||
| 13–4 | 0.03 | 31% | 13 Apr → | ||
| 9–13 | -0.06 | 15% | 1 Apr → | ||
| 13–2 | 0.07 | 24% | 1 Apr → | ||
| 10–13 | -0.02 | 13% | 31 Mar → | ||
| 13–3 | 0.09 | 23% | 31 Mar → | ||
| 11–13 | -0.05 | 20% | 31 Mar → | ||
| 13–4 | -0.00 | 14% | 31 Mar → | ||
| 13–7 | -0.06 | 35% | 31 Mar → | ||
| 13–10 | 0.06 | 33% | 30 Mar → | ||
| 13–5 | -0.00 | 23% | 30 Mar → | ||
| 5–13 | -0.02 | 26% | 28 Mar → | ||
| 5–13 | 0.07 | 29% | 28 Mar → | ||
| 13–6 | 0.03 | 42% | 27 Mar → | ||
| 13–9 | 0.00 | 19% | 27 Mar → | ||
| 8–13 | -0.03 | 36% | 23 Mar → | ||
| 10–13 | -0.02 | 20% | 23 Mar → | ||
| 16–14 | 0.03 | 19% | 20 Mar → | ||
| 13–6 | 0.06 | 25% | 20 Mar → | ||
| 11–13 | -0.06 | 10% | 18 Mar → | ||
| 13–8 | 0.04 | 23% | 18 Mar → | ||
| 13–10 | -0.02 | 21% | 18 Mar → | ||
| 7–13 | -0.01 | 23% | 15 Mar → | ||
| 9–13 | -0.01 | 17% | 15 Mar → | ||
| 13–11 | 0.03 | 34% | 15 Mar → | ||
| 7–5 | -0.06 | 33% | 15 Mar → | ||
| 1–8 | -0.06 | 23% | 15 Mar → | ||
| 13–2 | -0.00 | 21% | 14 Mar → | ||
| 13–10 | 0.03 | 19% | 14 Mar → | ||
| 11–13 | -0.04 | 42% | 14 Mar → | ||
| 13–4 | 0.06 | 34% | 13 Mar → | ||
| 2–5 | 0.01 | 31% | 13 Mar → | ||
| 13–6 | 0.07 | 14% | 13 Mar → | ||
| 6–8 | 0.01 | 47% | 13 Mar → | ||
| 13–7 | 0.07 | 23% | 8 Mar → | ||
| 0–1 | -0.10 | 0% | 8 Mar → | ||
| 13–8 | -0.02 | 16% | 8 Mar → | ||
| 11–13 | -0.05 | 25% | 7 Mar → | ||
| 9–13 | 0.02 | 20% | 7 Mar → | ||
| 11–12 | -0.02 | 21% | 6 Mar → | ||
| 5–1 | 0.01 | 17% | 6 Mar → | ||
| 25–21 | -0.04 | 26% | 6 Mar → | ||
| 2–4 | 0.05 | 36% | 6 Mar → | ||
| 3–3 | -0.07 | 0% | 6 Mar → | ||
| 10–13 | -0.08 | 21% | 20 Feb → | ||
| 8–13 | 0.04 | 22% | 20 Feb → | ||
| 13–7 | 0.01 | 38% | 18 Feb → | ||
| 13–11 | -0.04 | 18% | 18 Feb → | ||
| 13–10 | -0.05 | 11% | 17 Feb → | ||
| 16–13 | 0.01 | 20% | 17 Feb → | ||
| 13–9 | 0.03 | 26% | 16 Feb → | ||
| 12–16 | -0.04 | 24% | 16 Feb → | ||
| 9–13 | -0.07 | 14% | 16 Feb → | ||
| 13–4 | 0.00 | 10% | 15 Feb → | ||
| 13–7 | 0.02 | 24% | 15 Feb → | ||
| 10–13 | 0.01 | 17% | 15 Feb → | ||
| 6–13 | -0.06 | 10% | 14 Feb → | ||
| 6–13 | -0.03 | 42% | 14 Feb → | ||
| 16–13 | 0.00 | 19% | 14 Feb → | ||
| 4–13 | -0.03 | 24% | 6 Feb → | ||
| 7–13 | 0.01 | 13% | 6 Feb → | ||
| 7–13 | -0.01 | 8% | 3 Feb → | ||
| 22–25 | -0.02 | 22% | 3 Feb → | ||
| 16–14 | -0.03 | 23% | 3 Feb → | ||
| 13–7 | 0.05 | 17% | 2 Feb → | ||
| 13–9 | 0.03 | 24% | 2 Feb → |
Match data via Leetify.