soomraa — CS2 Stats
ZA76561198995115800[U:1:1034850072]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 40.2% | 44.1% | 47.2% | 7.1% short |
| Shot accuracy | 3.4% | 11.4% | 12.7% | 9.3% short |
| Kill/death ratio | 1.22 | 1.03 | 1.09 | above |
| Match win rate | 54.3% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band 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 · -0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 5.7/10 (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 |
|---|---|---|---|---|---|
| A | 36 | 22–14 | 61% | 0.00 | |
| B | 14 | 7–7 | 50% | 0.01 | |
| C | 14 | 5–9 | 36% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.01 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.691% — below the 15% 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 31.1635% — 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.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.06 | 25% | 29 Aug → | ||
| 13–4 | -0.02 | 28% | 29 Aug → | ||
| 15–15 | 0.04 | 18% | 29 Aug → | ||
| 10–13 | 0.05 | 18% | 28 Aug → | ||
| 13–7 | -0.02 | 11% | 28 Aug → | ||
| 7–13 | 0.00 | 17% | 28 Aug → | ||
| 13–10 | -0.03 | 10% | 28 Aug → | ||
| 13–11 | 0.04 | 8% | 28 Aug → | ||
| 13–9 | -0.00 | 8% | 27 Aug → | ||
| 13–9 | -0.06 | 9% | 27 Aug → | ||
| 10–13 | 0.02 | 10% | 27 Aug → | ||
| 13–7 | -0.03 | 8% | 27 Aug → | ||
| 10–13 | -0.02 | 14% | 26 Aug → | ||
| 13–11 | 0.03 | 12% | 26 Aug → | ||
| 10–13 | 0.04 | 19% | 26 Aug → | ||
| 13–3 | 0.17 | 15% | 26 Aug → | ||
| 5–13 | 0.02 | 12% | 26 Aug → | ||
| 13–9 | -0.04 | 11% | 26 Aug → | ||
| 13–11 | 0.12 | 16% | 26 Aug → | ||
| 7–13 | -0.01 | 17% | 25 Aug → | ||
| 11–13 | -0.02 | 13% | 25 Aug → | ||
| 13–6 | -0.03 | 10% | 25 Aug → | ||
| 13–9 | 0.00 | 18% | 24 Aug → | ||
| 13–3 | -0.03 | 14% | 24 Aug → | ||
| 13–4 | 0.10 | 14% | 24 Aug → | ||
| 16–13 | 0.02 | 11% | 24 Aug → | ||
| 3–13 | -0.04 | 15% | 21 Aug → | ||
| 6–13 | 0.06 | 16% | 21 Aug → | ||
| 13–4 | 0.08 | 27% | 21 Aug → | ||
| 11–13 | -0.01 | 23% | 20 Aug → | ||
| 13–3 | 0.01 | 5% | 20 Aug → | ||
| 13–4 | 0.09 | 16% | 20 Aug → | ||
| 7–13 | 0.01 | 7% | 20 Aug → | ||
| 13–10 | 0.02 | 12% | 19 Aug → | ||
| 13–16 | -0.04 | 17% | 18 Aug → | ||
| 7–13 | -0.08 | 17% | 10 Aug → | ||
| 13–7 | 0.02 | 8% | 10 Aug → | ||
| 13–6 | -0.03 | 17% | 10 Aug → | ||
| 4–13 | -0.05 | 9% | 10 Aug → | ||
| 11–13 | -0.05 | 10% | 10 Aug → | ||
| 13–11 | -0.01 | 17% | 10 Aug → | ||
| 9–13 | -0.02 | 12% | 10 Aug → | ||
| 13–5 | 0.09 | 23% | 10 Aug → | ||
| 13–11 | 0.01 | 19% | 9 Aug → | ||
| 9–13 | 0.02 | 22% | 9 Aug → | ||
| 11–13 | 0.01 | 11% | 8 Aug → | ||
| 9–13 | 0.02 | 20% | 8 Aug → | ||
| 2–13 | -0.04 | 16% | 8 Aug → | ||
| 9–13 | -0.01 | 20% | 6 Aug → | ||
| 5–13 | 0.07 | 12% | 28 Jul → | ||
| 5–13 | -0.03 | 13% | 28 Jul → | ||
| 5–13 | 0.04 | 8% | 28 Jul → | ||
| 4–13 | -0.03 | 8% | 28 Jul → | ||
| 6–13 | 0.00 | 13% | 27 Jul → | ||
| 15–15 | 0.06 | 18% | 27 Jul → | ||
| 13–2 | 0.20 | 17% | 27 Jul → | ||
| 13–11 | 0.02 | 12% | 27 Jul → | ||
| 13–3 | 0.08 | 56% | 27 Jul → | ||
| 15–15 | -0.01 | 29% | 26 Jul → | ||
| 13–9 | -0.03 | 10% | 26 Jul → | ||
| 13–5 | -0.02 | 12% | 26 Jul → | ||
| 13–8 | -0.02 | 12% | 26 Jul → | ||
| 5–13 | -0.12 | 10% | 26 Jul → | ||
| 16–13 | 0.02 | 16% | 26 Jul → | ||
| 13–7 | 0.08 | 14% | 26 Jul → | ||
| 13–5 | 0.07 | 6% | 26 Jul → | ||
| 3–13 | -0.02 | 10% | 25 Jul → | ||
| 6–13 | 0.03 | 33% | 24 Jul → | ||
| 13–8 | -0.06 | 17% | 22 Jul → | ||
| 13–5 | 0.07 | 27% | 12 Jul → | ||
| 8–13 | -0.04 | 21% | 12 Jul → | ||
| 16–13 | 0.03 | 17% | 9 Jul → | ||
| 13–7 | 0.03 | 15% | 9 Jul → | ||
| 11–13 | 0.06 | 21% | 8 Jul → | ||
| 13–8 | 0.04 | 19% | 6 Jul → | ||
| 13–7 | 0.03 | 18% | 6 Jul → | ||
| 3–13 | 0.01 | 22% | 6 Jul → | ||
| 9–13 | 0.07 | 6% | 5 Jul → | ||
| 11–13 | 0.06 | 14% | 4 Jul → | ||
| 13–9 | -0.05 | 12% | 4 Jul → | ||
| 13–11 | -0.04 | 11% | 3 Jul → | ||
| 13–5 | 0.02 | 11% | 2 Jul → | ||
| 6–13 | -0.04 | 0% | 2 Jul → | ||
| 13–8 | 0.00 | 13% | 2 Jul → | ||
| 13–10 | 0.00 | 12% | 2 Jul → | ||
| 8–13 | -0.01 | 23% | 2 Jul → | ||
| 13–10 | 0.06 | 15% | 2 Jul → | ||
| 13–6 | 0.00 | 22% | 1 Jul → | ||
| 13–8 | -0.03 | 4% | 1 Jul → | ||
| 13–6 | -0.02 | 17% | 1 Jul → | ||
| 7–13 | -0.03 | 22% | 1 Jul → | ||
| 7–13 | 0.03 | 16% | 1 Jul → | ||
| 6–13 | -0.02 | 16% | 1 Jul → | ||
| 16–14 | 0.04 | 7% | 30 Jun → | ||
| 15–15 | -0.08 | 10% | 30 Jun → | ||
| 13–3 | -0.07 | 5% | 30 Jun → | ||
| 11–13 | 0.03 | 16% | 29 Jun → | ||
| 15–15 | 0.06 | 20% | 29 Jun → | ||
| 10–13 | 0.03 | 16% | 29 Jun → | ||
| 13–2 | 0.02 | 20% | 29 Jun → |
Match data via Leetify.