DIEMA — CS2 Stats
76561198118582486[U:1:158316758]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 58.5% | 52.8% | above |
| Shot accuracy | 10.7% | 13.7% | 3.0% short |
| Kill/death ratio | 1.23 | 1.08 | above |
| Match win rate | 46.3% | 49.2% | 2.9% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 86% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; lower 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
Areas to improve
T-side openings. Opening success drops from 48% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 34 | 18–16 | 53% | -0.01 | |
| C | 17 | 7–10 | 41% | 0.00 | |
| C | 17 | 7–10 | 41% | 0.01 | |
| D | 13 | 4–9 | 31% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 182 | 54% | 1.00 | 14.8 |
| Dust2 | 108 | 49% | 1.10 | 16.4 |
| Anubis | 99 | 56% | 1.02 | 15.6 |
| Ancient | 76 | 50% | 1.02 | 16.1 |
| Nuke | 59 | 54% | 1.04 | 15.2 |
| Inferno | 40 | 50% | 1.00 | 15.4 |
| Overpass | 16 | 56% | 1.04 | 16.6 |
| Train | 3 | 33% | 0.76 | 14.3 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4841 — below the 0.5 mark we flag
- 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 22.3524% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.12 | 23% | 2 Aug → | ||
| 6–13 | 0.04 | 30% | 2 Aug → | ||
| 13–7 | 0.07 | 31% | 1 Aug → | ||
| 9–7 | 0.13 | 32% | 22 Jun → | ||
| 13–11 | -0.00 | 32% | 19 May → | ||
| 2–13 | -0.15 | 0% | 18 May → | ||
| 14–16 | 0.00 | 23% | 14 May → | ||
| 15–15 | -0.01 | 15% | 14 May → | ||
| 13–10 | -0.04 | 24% | 14 May → | ||
| 2–13 | -0.03 | 26% | 14 May → | ||
| 6–13 | -0.02 | 31% | 6 May → | ||
| 13–6 | -0.04 | 16% | 6 May → | ||
| 10–13 | -0.04 | 26% | 5 May → | ||
| 7–13 | -0.04 | 23% | 4 May → | ||
| 13–3 | 0.01 | 21% | 30 Apr → | ||
| 11–13 | -0.03 | 25% | 29 Apr → | ||
| 13–11 | 0.04 | 16% | 28 Apr → | ||
| 9–13 | 0.07 | 24% | 28 Apr → | ||
| 9–2 | 0.06 | 11% | 28 Apr → | ||
| 14–16 | 0.01 | 21% | 28 Apr → | ||
| 10–13 | -0.04 | 24% | 28 Apr → | ||
| 8–13 | -0.06 | 11% | 27 Apr → | ||
| 13–10 | -0.02 | 23% | 26 Apr → | ||
| 13–11 | -0.04 | 14% | 25 Apr → | ||
| 13–6 | 0.02 | 20% | 24 Apr → | ||
| 1–13 | -0.06 | 21% | 24 Apr → | ||
| 13–9 | 0.02 | 16% | 23 Apr → | ||
| 1–13 | -0.04 | 16% | 22 Apr → | ||
| 7–13 | -0.00 | 17% | 21 Apr → | ||
| 10–13 | -0.01 | 25% | 20 Apr → | ||
| 16–19 | 0.01 | 27% | 20 Apr → | ||
| 13–9 | -0.01 | 21% | 18 Apr → | ||
| 8–13 | 0.00 | 24% | 17 Apr → | ||
| 1–9 | -0.12 | 16% | 16 Apr → | ||
| 16–13 | 0.06 | 19% | 16 Apr → | ||
| 10–13 | -0.00 | 23% | 15 Apr → | ||
| 10–13 | -0.00 | 44% | 15 Apr → | ||
| 8–13 | -0.04 | 12% | 14 Apr → | ||
| 8–13 | -0.04 | 15% | 13 Apr → | ||
| 11–13 | 0.03 | 15% | 12 Apr → | ||
| 7–13 | 0.13 | 24% | 11 Apr → | ||
| 13–5 | 0.08 | 27% | 11 Apr → | ||
| 13–1 | 0.08 | 23% | 10 Apr → | ||
| 13–9 | 0.00 | 20% | 9 Apr → | ||
| 7–13 | -0.04 | 23% | 9 Apr → | ||
| 13–9 | 0.01 | 15% | 7 Apr → | ||
| 13–10 | 0.08 | 18% | 6 Apr → | ||
| 16–12 | -0.04 | 15% | 6 Apr → | ||
| 13–7 | 0.08 | 17% | 4 Apr → | ||
| 17–19 | -0.00 | 22% | 4 Apr → | ||
| 13–9 | 0.04 | 30% | 4 Apr → | ||
| 11–13 | 0.01 | 27% | 3 Apr → | ||
| 8–13 | -0.04 | 15% | 3 Apr → | ||
| 7–13 | -0.03 | 16% | 3 Apr → | ||
| 5–13 | -0.04 | 23% | 3 Apr → | ||
| 13–9 | 0.02 | 14% | 1 Apr → | ||
| 13–10 | -0.02 | 27% | 31 Mar → | ||
| 13–10 | -0.02 | 17% | 30 Mar → | ||
| 10–13 | 0.02 | 27% | 30 Mar → | ||
| 9–6 | 0.17 | 43% | 30 Mar → | ||
| 9–6 | 0.14 | 25% | 30 Mar → | ||
| 10–13 | 0.08 | 33% | 30 Mar → | ||
| 9–7 | 0.09 | 24% | 30 Mar → | ||
| 9–6 | 0.16 | 18% | 29 Mar → | ||
| 13–11 | 0.02 | 28% | 28 Mar → | ||
| 11–13 | -0.02 | 13% | 27 Mar → | ||
| 14–16 | 0.01 | 21% | 27 Mar → | ||
| 13–10 | 0.01 | 21% | 27 Mar → | ||
| 6–13 | 0.02 | 21% | 26 Mar → | ||
| 9–13 | 0.00 | 19% | 26 Mar → | ||
| 13–5 | 0.10 | 19% | 26 Mar → | ||
| 5–9 | -0.01 | 19% | 26 Mar → | ||
| 13–8 | -0.00 | 13% | 25 Mar → | ||
| 4–13 | -0.03 | 22% | 25 Mar → | ||
| 13–8 | 0.09 | 18% | 24 Mar → | ||
| 7–13 | -0.04 | 17% | 24 Mar → | ||
| 13–9 | -0.04 | 18% | 22 Mar → | ||
| 15–15 | -0.07 | 16% | 22 Mar → | ||
| 8–13 | -0.05 | 24% | 22 Mar → | ||
| 11–13 | 0.03 | 18% | 20 Mar → | ||
| 11–13 | -0.04 | 4% | 20 Mar → | ||
| 13–5 | 0.05 | 18% | 20 Mar → | ||
| 16–14 | 0.00 | 23% | 20 Mar → | ||
| 13–7 | -0.01 | 19% | 19 Mar → | ||
| 9–13 | 0.03 | 13% | 19 Mar → | ||
| 5–13 | -0.06 | 28% | 19 Mar → | ||
| 13–5 | 0.05 | 25% | 19 Mar → | ||
| 4–13 | -0.05 | 0% | 19 Mar → | ||
| 13–11 | 0.07 | 14% | 19 Mar → | ||
| 13–8 | 0.01 | 18% | 19 Mar → | ||
| 13–9 | 0.02 | 15% | 19 Mar → | ||
| 13–10 | -0.00 | 19% | 19 Mar → | ||
| 7–13 | -0.03 | 27% | 19 Mar → | ||
| 13–9 | 0.10 | 16% | 19 Mar → | ||
| 13–9 | -0.02 | 31% | 18 Mar → | ||
| 8–13 | -0.01 | 5% | 18 Mar → | ||
| 3–13 | -0.06 | 26% | 18 Mar → | ||
| 5–13 | -0.01 | 22% | 18 Mar → | ||
| 7–13 | -0.05 | 13% | 17 Mar → | ||
| 7–13 | -0.01 | 16% | 17 Mar → |
Match data via Leetify.