adamb — CS2 Stats
PROOG EsportsSwedenRiflerSettings & gear profile →
76561198851067539[U:1:890801811]✓ No bans
Rating over time
Faceit ELO
- At peak — 4,321
- Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
- 4,000 ELO first seen 2026-08-28
- 3,500 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: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 97% playstyle similarity
Most alike: opening-fight frequency, 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 95 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.
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 49% on CT to 24% 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 7.3/10 (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 | 21 | 13–8 | 62% | 0.02 | |
| S | 20 | 13–7 | 65% | 0.02 | |
| A | 19 | 11–8 | 58% | 0.02 | |
| A | 11 | 6–5 | 55% | -0.00 | |
| C | 11 | 4–7 | 36% | 0.00 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 3 | 2–1 | 67% | 0.06 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 783 | 61% | 1.39 | 19.0 |
| Ancient | 474 | 64% | 1.47 | 19.3 |
| Anubis | 231 | 64% | 1.47 | 20.3 |
| Nuke | 163 | 66% | 1.43 | 18.8 |
| Dust2 | 140 | 62% | 1.36 | 19.0 |
| Vertigo | 97 | 65% | 1.39 | 19.8 |
| Overpass | 57 | 56% | 1.25 | 17.5 |
| Train | 47 | 64% | 1.45 | 20.1 |
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.
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 23.8342% — 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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.04 | 10% | 25 Aug → | ||
| 13–6 | 0.07 | 27% | 25 Aug → | ||
| 13–5 | 0.03 | 36% | 22 Aug → | ||
| 14–16 | -0.00 | 20% | 20 Aug → | ||
| 11–13 | -0.02 | 25% | 20 Aug → | ||
| 13–7 | 0.02 | 23% | 20 Aug → | ||
| 13–1 | 0.02 | 17% | 20 Aug → | ||
| 16–13 | 0.02 | 20% | 20 Aug → | ||
| 3–13 | -0.03 | 35% | 20 Aug → | ||
| 13–2 | 0.02 | 33% | 19 Aug → | ||
| 13–10 | 0.06 | 26% | 19 Aug → | ||
| 13–7 | 0.14 | 24% | 19 Aug → | ||
| 13–7 | -0.02 | 19% | 18 Aug → | ||
| 13–7 | 0.00 | 25% | 18 Aug → | ||
| 8–13 | -0.02 | 17% | 18 Aug → | ||
| 13–10 | 0.07 | 17% | 18 Aug → | ||
| 13–11 | 0.04 | 27% | 18 Aug → | ||
| 13–8 | -0.03 | 28% | 17 Aug → | ||
| 13–3 | 0.09 | 16% | 17 Aug → | ||
| 13–9 | -0.01 | 25% | 15 Aug → | ||
| 11–13 | 0.02 | 11% | 15 Aug → | ||
| 9–13 | -0.06 | 21% | 15 Aug → | ||
| 7–13 | -0.05 | 24% | 15 Aug → | ||
| 13–5 | 0.03 | 12% | 15 Aug → | ||
| 13–5 | 0.00 | 19% | 15 Aug → | ||
| 11–13 | 0.03 | 15% | 14 Aug → | ||
| 6–13 | -0.06 | 8% | 14 Aug → | ||
| 13–3 | 0.06 | 20% | 14 Aug → | ||
| 13–5 | 0.08 | 32% | 14 Aug → | ||
| 16–12 | 0.04 | 31% | 12 Aug → | ||
| 8–13 | -0.05 | 18% | 9 Aug → | ||
| 9–13 | -0.03 | 23% | 9 Aug → | ||
| 13–10 | -0.00 | 23% | 8 Aug → | ||
| 13–4 | 0.02 | 26% | 8 Aug → | ||
| 5–13 | -0.05 | 40% | 8 Aug → | ||
| 13–8 | -0.02 | 20% | 8 Aug → | ||
| 7–13 | -0.03 | 26% | 8 Aug → | ||
| 13–1 | -0.01 | 15% | 7 Aug → | ||
| 13–6 | 0.03 | 17% | 7 Aug → | ||
| 4–13 | -0.06 | 26% | 23 Jul → | ||
| 16–19 | 0.04 | 25% | 23 Jul → | ||
| 13–11 | 0.01 | 33% | 23 Jul → | ||
| 10–13 | 0.00 | 31% | 20 Jul → | ||
| 10–13 | -0.01 | 24% | 24 Jun → | ||
| 16–19 | -0.03 | 26% | 24 Jun → | ||
| 16–13 | 0.06 | 19% | 24 Jun → | ||
| 13–10 | 0.03 | 26% | 23 Jun → | ||
| 7–13 | -0.03 | 15% | 23 Jun → | ||
| 6–13 | -0.01 | 18% | 23 Jun → | ||
| 13–9 | 0.04 | 33% | 3 Jun → | ||
| 8–13 | 0.05 | 17% | 2 Jun → | ||
| 13–8 | 0.00 | 23% | 31 May → | ||
| 7–13 | 0.02 | 18% | 31 May → | ||
| 16–14 | -0.04 | 22% | 30 May → | ||
| 13–6 | 0.08 | 25% | 29 May → | ||
| 13–9 | 0.05 | 29% | 24 May → | ||
| 10–13 | 0.05 | 35% | 22 May → | ||
| 13–5 | 0.08 | 22% | 22 May → | ||
| 6–13 | -0.02 | 24% | 22 May → | ||
| 13–6 | 0.05 | 21% | 21 May → | ||
| 7–13 | -0.03 | 17% | 21 May → | ||
| 13–8 | 0.01 | 21% | 21 May → | ||
| 11–13 | -0.01 | 35% | 25 Apr → | ||
| 11–13 | -0.02 | 29% | 22 Apr → | ||
| 6–13 | -0.05 | 25% | 22 Apr → | ||
| 13–10 | 0.10 | 29% | 22 Apr → | ||
| 13–2 | -0.04 | 18% | 11 Apr → | ||
| 9–13 | 0.06 | 32% | 10 Apr → | ||
| 13–2 | 0.03 | 18% | 6 Apr → | ||
| 14–16 | -0.01 | 22% | 5 Apr → | ||
| 4–13 | 0.01 | 21% | 5 Apr → | ||
| 4–13 | 0.14 | 31% | 2 Apr → | ||
| 10–13 | -0.05 | 20% | 1 Apr → | ||
| 13–9 | 0.03 | 21% | 1 Apr → | ||
| 9–13 | 0.03 | 22% | 30 Mar → | ||
| 8–13 | -0.04 | 23% | 30 Mar → | ||
| 13–11 | 0.03 | 23% | 29 Mar → | ||
| 13–9 | 0.04 | 16% | 29 Mar → | ||
| 6–13 | -0.08 | 27% | 29 Mar → | ||
| 19–15 | 0.00 | 18% | 24 Mar → | ||
| 11–13 | 0.03 | 22% | 24 Mar → | ||
| 6–13 | -0.01 | 27% | 24 Mar → | ||
| 13–4 | 0.07 | 7% | 24 Mar → | ||
| 13–1 | 0.06 | 27% | 24 Mar → | ||
| 10–13 | -0.02 | 20% | 24 Mar → | ||
| 3–13 | 0.00 | 21% | 15 Mar → | ||
| 10–13 | -0.02 | 18% | 15 Mar → | ||
| 13–7 | 0.03 | 29% | 15 Mar → | ||
| 13–8 | 0.08 | 20% | 15 Mar → | ||
| 23–25 | -0.01 | 19% | 15 Mar → | ||
| 13–6 | -0.01 | 20% | 15 Mar → | ||
| 13–8 | 0.07 | 34% | 14 Mar → | ||
| 13–11 | 0.03 | 33% | 14 Mar → | ||
| 11–13 | 0.00 | 15% | 13 Mar → | ||
| 13–4 | 0.06 | 23% | 13 Mar → | ||
| 13–4 | 0.06 | 23% | 13 Mar → | ||
| 10–13 | 0.02 | 17% | 10 Mar → | ||
| 13–4 | 0.14 | 22% | 23 Feb → | ||
| 13–7 | 0.02 | 27% | 21 Feb → | ||
| 13–5 | 0.13 | 30% | 13 Feb → |
Match data via Leetify.