diup — CS2 Stats
76561199004097713[U:1:1043831985]Steam profile ↗✓ No bans
Rating over time
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 61.1% | 46.2% | 47.2% | above |
| Shot accuracy | 13.1% | 12.5% | 12.3% | above |
| Kill/death ratio | 1.19 | 1.06 | 1.07 | above |
| Match win rate | 45.5% | 45.9% | 46.3% | meets |
Across every metric we can compare, this profile already matches the typical Level 8 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 Twistzz 95% playstyle similarity
Most alike: positioning profile, 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
Areas to improve
Reaction time. 583ms 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 6.4/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 27 | 12–15 | 44% | 0.04 | |
| S | 20 | 15–5 | 75% | 0.07 | |
| S | 19 | 13–6 | 68% | 0.08 | |
| B | 15 | 8–7 | 53% | 0.07 | |
| A | 11 | 6–5 | 55% | 0.06 | |
| — | 3 | 1–2 | 33% | 0.03 | |
| — | 2 | 2–0 | 100% | 0.06 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| office | — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (44% over 27). Start with the 6 essential Mirage 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 resultsWWLLW
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.
- 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 37.6393% — 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.
44% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | 0.07 | 10% | 28 Aug → | ||
| 15–15 | 0.09 | 38% | 25 Aug → | ||
| 13–8 | 0.06 | 35% | 20 Aug → | ||
| 0–13 | -0.01 | 36% | 20 Aug → | ||
| 3–13 | 0.03 | 23% | 20 Aug → | ||
| 13–3 | 0.08 | 31% | 20 Aug → | ||
| 16–14 | 0.13 | 23% | 13 Aug → | ||
| 11–13 | 0.07 | 26% | 13 Aug → | ||
| 16–13 | 0.05 | 23% | 2 Aug → | ||
| 13–11 | 0.12 | 29% | 2 Aug → | ||
| 13–10 | 0.05 | 30% | 2 Aug → | ||
| 9–13 | -0.10 | 19% | 21 May → | ||
| 7–13 | 0.01 | 24% | 21 May → | ||
| 9–13 | 0.08 | 26% | 9 May → | ||
| 6–13 | 0.07 | 36% | 26 Apr → | ||
| 13–9 | -0.01 | 17% | 26 Apr → | ||
| 8–1 | 0.09 | 50% | 26 Apr → | ||
| 0–3 | -0.07 | 0% | 24 Apr → | ||
| 6–13 | 0.00 | 20% | 24 Apr → | ||
| 15–15 | 0.08 | 26% | 22 Apr → | ||
| 7–13 | 0.08 | 20% | 22 Apr → | ||
| 13–10 | 0.09 | 40% | 3 Apr → | ||
| 13–3 | 0.07 | 25% | 3 Apr → | ||
| 13–16 | 0.12 | 36% | 2 Apr → | ||
| 13–10 | 0.07 | 35% | 2 Apr → | ||
| 10–13 | -0.04 | 20% | 25 Mar → | ||
| 3–13 | -0.03 | 37% | 25 Mar → | ||
| 13–8 | 0.04 | 21% | 25 Mar → | ||
| 9–13 | 0.09 | 49% | 25 Mar → | ||
| 4–13 | -0.01 | 40% | 21 Mar → | ||
| 13–9 | 0.06 | 30% | 21 Mar → | ||
| 13–9 | 0.03 | 35% | 21 Mar → | ||
| 15–15 | -0.00 | 24% | 14 Mar → | ||
| 13–10 | 0.05 | 31% | 14 Mar → | ||
| 13–4 | 0.21 | 34% | 13 Mar → | ||
| 16–14 | 0.14 | 29% | 8 Mar → | ||
| 13–5 | 0.15 | 30% | 8 Mar → | ||
| 2–13 | 0.16 | 40% | 8 Mar → | ||
| 13–10 | 0.10 | 26% | 8 Mar → | ||
| 13–6 | 0.15 | 24% | 8 Mar → | ||
| 13–3 | 0.07 | 37% | 27 Feb → | ||
| 13–7 | 0.07 | 19% | 27 Feb → | ||
| 10–13 | 0.04 | 30% | 26 Feb → | ||
| 13–2 | 0.09 | 37% | 26 Feb → | ||
| 6–13 | -0.01 | 29% | 23 Feb → | ||
| 1–13 | -0.07 | 12% | 19 Feb → | ||
| 9–13 | 0.05 | 31% | 15 Feb → | ||
| 3–13 | -0.02 | 24% | 13 Feb → | ||
| 16–12 | 0.03 | 21% | 12 Feb → | ||
| 13–10 | 0.09 | 38% | 12 Feb → | ||
| 14–16 | -0.01 | 29% | 12 Feb → | ||
| 13–8 | 0.08 | 25% | 23 Jan → | ||
| 13–7 | -0.05 | 23% | 23 Jan → | ||
| 13–8 | 0.08 | 30% | 19 Jan → | ||
| 9–13 | 0.04 | 21% | 18 Jan → | ||
| 10–13 | 0.06 | 30% | 18 Jan → | ||
| 13–9 | 0.05 | 30% | 18 Jan → | ||
| 13–6 | 0.11 | 33% | 18 Jan → | ||
| 13–6 | 0.22 | 36% | 18 Jan → | ||
| 13–11 | 0.08 | 24% | 10 Jan → | ||
| 9–13 | -0.01 | 40% | 10 Jan → | ||
| 9–13 | 0.03 | 30% | 10 Jan → | ||
| 0–3 | -0.07 | 0% | 3 Jan → | ||
| 13–5 | 0.10 | 26% | 1 Jan → | ||
| 13–16 | 0.12 | 29% | 1 Jan → | ||
| 13–4 | 0.03 | 21% | 1 Jan → | ||
| 13–7 | 0.02 | 21% | 1 Jan → | ||
| 11–13 | -0.00 | 22% | 1 Jan → | ||
| 13–7 | 0.08 | 22% | 1 Jan → | ||
| office | 13–11 | 0.08 | 35% | 30 Dec → | |
| 13–4 | 0.12 | 28% | 30 Dec → | ||
| 6–13 | 0.10 | 32% | 30 Dec → | ||
| 7–13 | 0.10 | 34% | 19 Dec → | ||
| 9–2 | -0.01 | 24% | 19 Dec → | ||
| 13–7 | 0.05 | 20% | 19 Dec → | ||
| 13–3 | 0.05 | 33% | 19 Dec → | ||
| 13–9 | 0.04 | 29% | 19 Nov → | ||
| 6–13 | 0.03 | 31% | 19 Nov → | ||
| 10–13 | 0.04 | 24% | 18 Nov → | ||
| 2–13 | -0.01 | 19% | 18 Nov → | ||
| 1–13 | -0.01 | 23% | 16 Nov → | ||
| 13–5 | 0.13 | 37% | 15 Nov → | ||
| 16–14 | 0.06 | 32% | 14 Nov → | ||
| 13–8 | 0.11 | 30% | 14 Nov → | ||
| 13–2 | 0.03 | 38% | 12 Nov → | ||
| 13–2 | 0.12 | 32% | 12 Nov → | ||
| 10–13 | 0.08 | 35% | 12 Nov → | ||
| 13–9 | 0.11 | 34% | 11 Nov → | ||
| 13–7 | 0.00 | 26% | 9 Nov → | ||
| 13–11 | 0.13 | 26% | 9 Nov → | ||
| 13–7 | 0.04 | 46% | 9 Nov → | ||
| 13–3 | 0.17 | 18% | 7 Nov → | ||
| 13–1 | 0.08 | 23% | 7 Nov → | ||
| 13–3 | 0.08 | 30% | 7 Nov → | ||
| 13–9 | 0.18 | 26% | 7 Nov → | ||
| 13–11 | 0.10 | 26% | 5 Nov → | ||
| 13–4 | 0.13 | 39% | 5 Nov → | ||
| 13–6 | 0.06 | 21% | 29 Oct → | ||
| 13–8 | 0.06 | 32% | 28 Oct → | ||
| 15–15 | 0.08 | 26% | 28 Oct → |
Match data via Leetify.