Tuhnu — CS2 Stats
76561198262648856[U:1:302383128]Steam profile ↗✓ 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 |
|---|---|---|
| Headshot rate | 44.1% | 52.8% |
| Shot accuracy | 15.3% | 13.7% |
| Kill/death ratio | 1.21 | 1.08 |
| Match win rate | 53.0% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 donk 95% playstyle similarity
Most alike: utility contribution, 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 86 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 60% on CT to 34% 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 7.5/10 (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 | 12–9 | 57% | 0.04 | |
| S | 20 | 13–7 | 65% | 0.03 | |
| S | 19 | 13–6 | 68% | 0.03 | |
| B | 14 | 7–7 | 50% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| S | 6 | 4–2 | 67% | 0.00 | |
| A | 5 | 3–2 | 60% | 0.04 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.09 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient 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.
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 34.1889% — 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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.07 | 41% | 8 Jun → | ||
| 13–10 | 0.07 | 18% | 3 May → | ||
| 13–2 | 0.01 | 22% | 3 May → | ||
| 10–13 | 0.08 | 9% | 29 Apr → | ||
| 13–2 | 0.04 | 17% | 29 Apr → | ||
| 13–9 | 0.02 | 21% | 29 Apr → | ||
| 9–13 | -0.04 | 11% | 29 Apr → | ||
| 13–6 | 0.09 | 27% | 29 Apr → | ||
| 2–13 | -0.01 | 10% | 29 Apr → | ||
| 9–13 | 0.02 | 25% | 29 Apr → | ||
| 13–7 | -0.01 | 23% | 29 Apr → | ||
| 13–11 | 0.08 | 17% | 28 Apr → | ||
| 13–5 | 0.05 | 12% | 28 Apr → | ||
| 17–19 | -0.03 | 18% | 27 Apr → | ||
| 11–13 | 0.06 | 16% | 27 Apr → | ||
| 13–3 | 0.12 | 29% | 27 Apr → | ||
| 13–9 | 0.10 | 18% | 27 Apr → | ||
| 13–5 | 0.01 | 10% | 27 Apr → | ||
| 9–13 | 0.03 | 26% | 25 Apr → | ||
| 6–13 | 0.00 | 28% | 25 Apr → | ||
| 13–9 | 0.08 | 13% | 25 Apr → | ||
| 13–10 | 0.02 | 21% | 25 Apr → | ||
| 2–13 | -0.05 | 33% | 25 Apr → | ||
| 13–7 | 0.02 | 23% | 25 Apr → | ||
| 6–13 | -0.04 | 14% | 24 Apr → | ||
| 11–13 | -0.00 | 8% | 23 Apr → | ||
| 13–11 | 0.11 | 28% | 23 Apr → | ||
| 13–4 | 0.16 | 24% | 23 Apr → | ||
| 9–5 | 0.11 | 13% | 23 Apr → | ||
| 13–2 | 0.18 | 20% | 23 Apr → | ||
| 7–13 | 0.12 | 27% | 23 Apr → | ||
| 13–6 | 0.13 | 23% | 23 Apr → | ||
| 13–9 | 0.01 | 22% | 20 Apr → | ||
| 13–6 | -0.04 | 18% | 20 Apr → | ||
| 7–13 | -0.02 | 7% | 20 Apr → | ||
| 0–13 | -0.02 | 25% | 20 Apr → | ||
| 15–15 | 0.01 | 13% | 20 Apr → | ||
| 16–14 | -0.00 | 12% | 20 Apr → | ||
| 13–11 | 0.07 | 10% | 20 Apr → | ||
| 13–7 | 0.09 | 16% | 18 Apr → | ||
| 13–8 | 0.09 | 29% | 18 Apr → | ||
| 13–5 | 0.19 | 20% | 18 Apr → | ||
| 13–1 | 0.03 | 21% | 18 Apr → | ||
| 13–5 | 0.10 | 17% | 18 Apr → | ||
| 13–6 | 0.06 | 16% | 18 Apr → | ||
| 13–2 | 0.12 | 27% | 17 Apr → | ||
| 13–3 | 0.12 | 31% | 17 Apr → | ||
| 10–13 | -0.03 | 15% | 16 Apr → | ||
| 13–2 | -0.02 | 35% | 16 Apr → | ||
| 13–8 | 0.13 | 24% | 16 Apr → | ||
| 13–4 | 0.13 | 22% | 10 Apr → | ||
| 13–5 | 0.07 | 17% | 19 Mar → | ||
| 7–13 | 0.00 | 11% | 19 Mar → | ||
| 10–13 | -0.01 | 9% | 19 Mar → | ||
| 5–13 | 0.06 | 18% | 13 Mar → | ||
| 11–13 | -0.01 | 16% | 13 Mar → | ||
| 11–13 | 0.00 | 16% | 9 Mar → | ||
| 10–13 | 0.02 | 18% | 9 Mar → | ||
| 13–7 | 0.07 | 26% | 24 Feb → | ||
| 11–13 | 0.02 | 21% | 24 Feb → | ||
| 5–13 | -0.03 | 26% | 24 Feb → | ||
| 15–15 | 0.00 | 14% | 23 Feb → | ||
| 13–3 | 0.15 | 19% | 23 Feb → | ||
| 13–8 | 0.02 | 17% | 23 Feb → | ||
| 13–6 | 0.02 | 15% | 23 Feb → | ||
| 7–13 | 0.01 | 12% | 10 Feb → | ||
| 15–19 | 0.01 | 10% | 7 Feb → | ||
| 13–10 | -0.05 | 12% | 7 Feb → | ||
| 13–7 | -0.01 | 25% | 7 Feb → | ||
| 6–13 | -0.01 | 15% | 6 Feb → | ||
| 13–9 | 0.04 | 15% | 6 Feb → | ||
| 11–13 | 0.05 | 12% | 6 Feb → | ||
| 13–2 | 0.05 | 13% | 6 Feb → | ||
| 16–13 | 0.00 | 18% | 6 Feb → | ||
| 13–9 | -0.03 | 16% | 6 Feb → | ||
| 6–13 | 0.06 | 9% | 9 Dec → | ||
| 14–16 | -0.01 | 14% | 9 Dec → | ||
| 5–13 | -0.07 | 9% | 8 Dec → | ||
| 8–13 | 0.00 | 22% | 8 Dec → | ||
| 6–13 | -0.05 | 21% | 24 Nov → | ||
| 15–15 | -0.02 | 11% | 20 Nov → | ||
| 8–13 | 0.00 | 14% | 19 Nov → | ||
| 13–7 | 0.10 | 23% | 19 Nov → | ||
| 13–6 | 0.05 | 19% | 19 Nov → | ||
| 13–11 | -0.01 | 17% | 19 Nov → | ||
| 13–11 | -0.00 | 15% | 18 Nov → | ||
| 13–3 | -0.01 | 3% | 18 Nov → | ||
| 13–11 | 0.09 | 27% | 18 Nov → | ||
| 13–11 | -0.01 | 21% | 17 Nov → | ||
| 13–10 | 0.04 | 20% | 17 Nov → | ||
| 13–8 | 0.03 | 14% | 14 Nov → | ||
| 10–13 | -0.02 | 18% | 14 Nov → | ||
| 13–5 | 0.01 | 23% | 14 Nov → | ||
| 13–8 | 0.06 | 20% | 14 Nov → | ||
| 5–13 | -0.08 | 27% | 14 Nov → | ||
| 0–13 | -0.10 | 26% | 12 Nov → | ||
| 13–7 | -0.02 | 22% | 12 Nov → | ||
| 13–5 | 0.03 | 22% | 12 Nov → | ||
| 13–8 | 0.06 | 18% | 11 Nov → | ||
| 2–13 | -0.01 | 20% | 11 Nov → |
Match data via Leetify.