deko — CS2 Stats
PRO“prince”WWRussiaAWPerSettings & gear profile →
76561198287546191[U:1:327280463]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 4,066
- 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 · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong 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 sh1ro 96% playstyle similarity
Most alike: aim profile, 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 98 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 34 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 64% on CT to 33% 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 7.7/10 (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 |
|---|---|---|---|---|---|
| B | 36 | 19–17 | 53% | 0.03 | |
| A | 35 | 21–14 | 60% | 0.04 | |
| C | 13 | 5–8 | 38% | 0.04 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| — | 4 | 1–3 | 25% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.06 | |
| — | 2 | 1–1 | 50% | 0.08 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 562 | 60% | 1.65 | 20.7 |
| Dust2 | 298 | 61% | 1.74 | 20.8 |
| Nuke | 175 | 61% | 1.62 | 19.0 |
| Ancient | 142 | 58% | 1.48 | 19.4 |
| Anubis | 99 | 55% | 1.47 | 19.8 |
| Overpass | 52 | 67% | 1.65 | 20.9 |
| Inferno | 45 | 47% | 1.52 | 19.5 |
| Train | 34 | 47% | 1.36 | 17.9 |
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 33.2275% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | -0.09 | 20% | 23 Aug → | ||
| 12–16 | 0.07 | 23% | 6 Aug → | ||
| 9–13 | -0.03 | 5% | 6 Aug → | ||
| 13–10 | 0.03 | 31% | 30 Jul → | ||
| 6–13 | -0.04 | 37% | 30 Jul → | ||
| 13–9 | 0.08 | 18% | 30 Jul → | ||
| 13–7 | 0.09 | 36% | 30 Jul → | ||
| 7–13 | -0.02 | 32% | 30 Jul → | ||
| 16–13 | 0.03 | 24% | 30 Jul → | ||
| 13–10 | 0.04 | 24% | 30 Jul → | ||
| 10–13 | 0.02 | 18% | 29 Jul → | ||
| 19–15 | 0.07 | 35% | 29 Jul → | ||
| 13–9 | 0.08 | 32% | 29 Jul → | ||
| 13–2 | -0.02 | 35% | 27 Jul → | ||
| 13–5 | -0.05 | 8% | 27 Jul → | ||
| 12–16 | -0.04 | 31% | 27 Jul → | ||
| 3–13 | -0.05 | 26% | 27 Jul → | ||
| 16–13 | 0.07 | 24% | 27 Jul → | ||
| 13–3 | 0.07 | 41% | 27 Jul → | ||
| 13–4 | 0.03 | 27% | 27 Jul → | ||
| 13–1 | 0.10 | 21% | 16 Jul → | ||
| 4–13 | -0.06 | 18% | 16 Jul → | ||
| 8–13 | 0.07 | 23% | 16 Jul → | ||
| 11–13 | -0.05 | 20% | 12 Jul → | ||
| 6–13 | -0.03 | 31% | 12 Jul → | ||
| 13–10 | -0.02 | 22% | 16 Jun → | ||
| 9–13 | 0.03 | 22% | 30 May → | ||
| 6–13 | 0.02 | 15% | 30 May → | ||
| 13–5 | 0.06 | 24% | 30 May → | ||
| 4–13 | 0.01 | 15% | 30 May → | ||
| 16–14 | 0.03 | 31% | 29 May → | ||
| 6–13 | 0.07 | 35% | 28 May → | ||
| 13–11 | 0.06 | 32% | 26 May → | ||
| 13–16 | -0.03 | 34% | 26 May → | ||
| 4–13 | -0.03 | 21% | 25 May → | ||
| 13–4 | 0.09 | 36% | 25 May → | ||
| 13–11 | -0.01 | 33% | 4 May → | ||
| 14–16 | -0.02 | 18% | 2 May → | ||
| 10–13 | 0.00 | 18% | 2 May → | ||
| 13–8 | 0.02 | 31% | 30 Apr → | ||
| 8–13 | -0.01 | 23% | 29 Apr → | ||
| 5–13 | 0.02 | 21% | 29 Apr → | ||
| 3–13 | -0.03 | 17% | 29 Apr → | ||
| 11–13 | -0.00 | 22% | 29 Apr → | ||
| 13–11 | 0.04 | 38% | 28 Apr → | ||
| 11–13 | 0.03 | 28% | 28 Apr → | ||
| 6–13 | -0.02 | 17% | 27 Apr → | ||
| 13–7 | 0.01 | 43% | 27 Apr → | ||
| 13–10 | 0.05 | 20% | 27 Apr → | ||
| 8–13 | 0.03 | 19% | 27 Apr → | ||
| 13–10 | 0.07 | 53% | 27 Apr → | ||
| 13–3 | 0.07 | 19% | 27 Apr → | ||
| 4–13 | -0.02 | 34% | 27 Apr → | ||
| 22–20 | 0.09 | 28% | 27 Apr → | ||
| 11–13 | 0.03 | 26% | 27 Apr → | ||
| 13–10 | 0.05 | 25% | 27 Apr → | ||
| 14–16 | -0.01 | 21% | 27 Apr → | ||
| 3–13 | -0.06 | 30% | 27 Apr → | ||
| 16–19 | 0.04 | 26% | 27 Apr → | ||
| 13–2 | 0.06 | 54% | 27 Apr → | ||
| 6–13 | 0.04 | 19% | 27 Apr → | ||
| 16–13 | 0.06 | 26% | 26 Apr → | ||
| 16–12 | 0.04 | 22% | 26 Apr → | ||
| 13–5 | 0.07 | 14% | 26 Apr → | ||
| 13–7 | 0.02 | 25% | 26 Apr → | ||
| 13–8 | 0.08 | 23% | 26 Apr → | ||
| 13–6 | 0.05 | 39% | 26 Apr → | ||
| 13–11 | 0.05 | 21% | 26 Apr → | ||
| 13–5 | 0.07 | 32% | 26 Apr → | ||
| 10–13 | -0.00 | 27% | 26 Apr → | ||
| 8–13 | 0.00 | 35% | 26 Apr → | ||
| 6–13 | 0.11 | 20% | 25 Apr → | ||
| 12–16 | 0.05 | 23% | 25 Apr → | ||
| 13–6 | 0.13 | 32% | 25 Apr → | ||
| 9–13 | 0.07 | 15% | 25 Apr → | ||
| 13–3 | 0.18 | 28% | 25 Apr → | ||
| 13–11 | 0.10 | 17% | 25 Apr → | ||
| 13–7 | 0.09 | 21% | 25 Apr → | ||
| 14–16 | 0.06 | 46% | 25 Apr → | ||
| 13–6 | 0.15 | 20% | 25 Apr → | ||
| 19–17 | 0.07 | 26% | 25 Apr → | ||
| 13–6 | 0.05 | 22% | 25 Apr → | ||
| 13–6 | 0.05 | 22% | 24 Apr → | ||
| 7–13 | -0.03 | 20% | 24 Apr → | ||
| 10–13 | 0.02 | 32% | 24 Apr → | ||
| 11–13 | 0.08 | 35% | 24 Apr → | ||
| 9–13 | -0.01 | 29% | 24 Apr → | ||
| 13–9 | 0.00 | 13% | 24 Apr → | ||
| 13–6 | 0.12 | 40% | 24 Apr → | ||
| 2–13 | -0.05 | 14% | 24 Apr → | ||
| 13–7 | -0.01 | 38% | 24 Apr → | ||
| 13–9 | 0.00 | 36% | 24 Apr → | ||
| 13–9 | 0.10 | 18% | 24 Apr → | ||
| 13–10 | 0.06 | 26% | 24 Apr → | ||
| 13–2 | 0.14 | 28% | 24 Apr → | ||
| 13–11 | 0.04 | 25% | 24 Apr → | ||
| 9–13 | 0.04 | 27% | 24 Apr → | ||
| 6–13 | 0.03 | 30% | 23 Apr → | ||
| 9–13 | -0.00 | 40% | 23 Apr → | ||
| 11–13 | 0.06 | 25% | 23 Apr → |
Match data via Leetify.