suna — CS2 Stats
76561199185725351[U:1:1225459623]Steam profile ↗
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 57.0% | 42.1% | 42.5% | above |
| Shot accuracy | 13.0% | 12.1% | 10.9% | above |
| Kill/death ratio | 1.02 | 0.99 | 0.99 | above |
| Match win rate | 30.7% | 43.9% | 44.2% | 13.5% short |
This profile matches the typical Level 4 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 4 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: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingLimited utility dependence
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 79% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 690ms 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 |
|---|---|---|---|---|---|
| C | 20 | 7–13 | 35% | -0.01 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| D | 13 | 4–9 | 31% | -0.00 | |
| C | 10 | 4–6 | 40% | -0.02 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| office | B | 6 | 3–3 | 50% | 0.03 |
| italy | D | 5 | 1–4 | 20% | -0.02 |
| grail | S | 5 | 5–0 | 100% | 0.00 |
| C | 5 | 2–3 | 40% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.04 | |
| edin | — | 3 | 0–3 | 0% | -0.06 |
| thera | — | 3 | 1–2 | 33% | -0.07 |
| — | 2 | 0–2 | 0% | -0.02 | |
| agency | — | 1 | 1–0 | 100% | -0.03 |
| basalt | — | 1 | 0–1 | 0% | -0.08 |
| mills | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
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.
- 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 0.2067 — 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 35.0503% — 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 | |
|---|---|---|---|---|---|
| 10–13 | -0.06 | 12% | 31 Aug → | ||
| italy | 8–13 | -0.02 | 7% | 31 Aug → | |
| grail | 13–8 | -0.07 | 28% | 29 Aug → | |
| 9–13 | -0.08 | 17% | 26 Aug → | ||
| 4–13 | -0.06 | 18% | 26 Aug → | ||
| 11–13 | 0.00 | 22% | 26 Aug → | ||
| 9–13 | -0.04 | 33% | 23 Aug → | ||
| grail | 13–8 | -0.02 | 16% | 23 Aug → | |
| 13–7 | 0.01 | 13% | 23 Aug → | ||
| office | 4–13 | 0.02 | 22% | 23 Aug → | |
| 13–11 | -0.04 | 23% | 22 Aug → | ||
| italy | 11–7 | 0.05 | 33% | 22 Aug → | |
| 13–6 | -0.02 | 10% | 21 Aug → | ||
| agency | 13–7 | -0.03 | 14% | 21 Aug → | |
| italy | 6–13 | -0.06 | 7% | 20 Aug → | |
| 6–13 | -0.01 | 18% | 20 Aug → | ||
| 3–13 | -0.05 | 35% | 19 Aug → | ||
| grail | 13–9 | 0.02 | 19% | 16 Aug → | |
| 6–13 | -0.05 | 24% | 16 Aug → | ||
| 3–13 | -0.05 | 17% | 16 Aug → | ||
| 12–12 | -0.03 | 31% | 12 Aug → | ||
| 13–11 | -0.08 | 11% | 12 Aug → | ||
| italy | 7–13 | -0.05 | 19% | 12 Aug → | |
| 13–7 | 0.07 | 27% | 12 Aug → | ||
| 13–10 | 0.10 | 14% | 6 Jun → | ||
| 5–13 | -0.09 | 21% | 6 Jun → | ||
| 7–13 | -0.03 | 16% | 6 Jun → | ||
| 2–9 | -0.11 | 22% | 29 May → | ||
| grail | 13–2 | 0.06 | 59% | 29 May → | |
| grail | 13–4 | 0.02 | 16% | 28 May → | |
| 12–12 | -0.08 | 9% | 12 Apr → | ||
| 13–3 | -0.07 | 14% | 22 Mar → | ||
| 13–4 | 0.00 | 6% | 22 Mar → | ||
| 13–1 | 0.07 | 17% | 22 Feb → | ||
| 4–13 | -0.03 | 10% | 26 Jan → | ||
| 10–13 | 0.00 | 12% | 20 Jan → | ||
| 12–12 | 0.03 | 14% | 20 Jan → | ||
| 5–13 | -0.03 | 20% | 19 Jan → | ||
| 2–13 | -0.05 | 32% | 19 Jan → | ||
| 0–13 | -0.09 | 21% | 19 Jan → | ||
| office | 5–13 | -0.01 | 21% | 18 Jan → | |
| 3–13 | -0.06 | 30% | 18 Jan → | ||
| 13–9 | 0.04 | 13% | 18 Jan → | ||
| 13–4 | 0.03 | 26% | 18 Jan → | ||
| 13–5 | 0.04 | 35% | 12 Jan → | ||
| 10–13 | 0.03 | 29% | 7 Jan → | ||
| 13–8 | 0.17 | 19% | 7 Jan → | ||
| 13–16 | -0.03 | 16% | 7 Jan → | ||
| 13–11 | -0.03 | 8% | 5 Jan → | ||
| 6–1 | 0.09 | 0% | 5 Jan → | ||
| 3–13 | -0.05 | 21% | 5 Jan → | ||
| 8–13 | -0.01 | 33% | 5 Jan → | ||
| edin | 7–13 | -0.02 | 15% | 5 Jan → | |
| 13–4 | 0.08 | 17% | 4 Jan → | ||
| 11–13 | 0.00 | 15% | 31 Dec → | ||
| italy | 8–13 | -0.02 | 13% | 28 Dec → | |
| 1–13 | -0.02 | 13% | 16 Dec → | ||
| 8–13 | -0.01 | 19% | 15 Dec → | ||
| 12–12 | -0.06 | 21% | 15 Dec → | ||
| 7–13 | 0.01 | 12% | 14 Dec → | ||
| 7–13 | 0.01 | 26% | 14 Dec → | ||
| 13–11 | 0.03 | 25% | 18 Nov → | ||
| edin | 4–9 | -0.02 | 12% | 18 Nov → | |
| 10–13 | -0.01 | 11% | 18 Nov → | ||
| 13–11 | 0.00 | 22% | 18 Nov → | ||
| 9–13 | -0.06 | 17% | 18 Nov → | ||
| 13–6 | 0.06 | 20% | 16 Nov → | ||
| 13–8 | -0.01 | 10% | 16 Nov → | ||
| edin | 11–13 | -0.12 | 17% | 15 Nov → | |
| basalt | 8–13 | -0.08 | 24% | 15 Nov → | |
| 8–13 | -0.03 | 21% | 14 Nov → | ||
| 13–5 | -0.03 | 19% | 14 Nov → | ||
| 12–12 | 0.01 | 24% | 14 Nov → | ||
| 12–12 | 0.00 | 14% | 2 Nov → | ||
| thera | 2–9 | 0.03 | 14% | 24 Oct → | |
| 7–13 | -0.08 | 15% | 27 Jul → | ||
| thera | 4–13 | -0.13 | 14% | 27 Jul → | |
| 13–6 | -0.04 | 4% | 27 Jul → | ||
| 6–3 | -0.14 | 22% | 27 Jul → | ||
| thera | 13–10 | -0.12 | 24% | 25 Jun → | |
| mills | 10–13 | -0.03 | 27% | 25 Jun → | |
| 4–13 | 0.03 | 11% | 25 Jun → | ||
| 12–12 | 0.01 | 14% | 7 Jun → | ||
| 6–13 | 0.08 | 25% | 7 Jun → | ||
| 8–3 | 0.08 | 34% | 7 Jun → | ||
| 12–12 | 0.03 | 21% | 7 Jun → | ||
| 8–1 | 0.08 | 29% | 7 Jun → | ||
| 6–13 | -0.08 | 27% | 6 Jun → | ||
| 6–13 | -0.04 | 13% | 6 Jun → | ||
| 12–12 | -0.10 | 19% | 4 Jun → | ||
| 10–13 | 0.01 | 21% | 16 Mar → | ||
| 8–13 | -0.05 | 31% | 26 Feb → | ||
| office | 13–7 | -0.00 | 31% | 26 Feb → | |
| 13–2 | -0.02 | 8% | 26 Feb → | ||
| 13–5 | 0.05 | 24% | 25 Feb → | ||
| 13–9 | -0.05 | 24% | 24 Feb → | ||
| office | 13–5 | 0.03 | 19% | 24 Feb → | |
| office | 13–9 | 0.12 | 19% | 18 Feb → | |
| 13–8 | 0.02 | 30% | 18 Feb → | ||
| office | 8–13 | 0.00 | 10% | 15 Feb → |
Match data via Leetify.
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