himas? sykerö — CS2 Stats
FI76561199042599432[U:1:1082333704]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | vs Light Blue band |
|---|---|---|---|
| Headshot rate | 38.3% | 40.1% | 1.8% short |
| Shot accuracy | 6.8% | 7.6% | 0.8% short |
| Kill/death ratio | 0.81 | 0.92 | 0.11 short |
| Match win rate | 40.3% | 42.2% | 1.8% short |
This profile sits below the typical Light Blue band player on every metric we can compare.
Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue 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: -30pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 ropz 87% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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
Reaction time. 615ms 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 (×0.90 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 | 19 | 12–7 | 63% | 0.00 | |
| C | 18 | 7–11 | 39% | 0.00 | |
| D | 16 | 5–11 | 31% | -0.02 | |
| B | 15 | 7–8 | 47% | -0.02 | |
| D | 13 | 3–10 | 23% | -0.01 | |
| D | 9 | 3–6 | 33% | -0.03 | |
| D | 7 | 1–6 | 14% | -0.03 | |
| — | 3 | 2–1 | 67% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 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.
- 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 0.3602 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.4768% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–9 | -0.10 | 5% | 29 Aug → | ||
| 13–9 | -0.02 | 16% | 28 Aug → | ||
| 4–13 | -0.11 | 13% | 28 Aug → | ||
| 16–14 | 0.00 | 19% | 28 Aug → | ||
| 15–15 | -0.06 | 19% | 27 Aug → | ||
| 9–13 | 0.01 | 23% | 27 Aug → | ||
| 3–13 | 0.03 | 27% | 27 Aug → | ||
| 8–13 | 0.01 | 7% | 27 Aug → | ||
| 1–13 | -0.04 | 15% | 27 Aug → | ||
| 1–12 | -0.10 | 8% | 27 Aug → | ||
| 3–13 | -0.02 | 8% | 27 Aug → | ||
| 13–9 | -0.00 | 10% | 25 Aug → | ||
| 13–7 | 0.02 | 11% | 25 Aug → | ||
| 9–13 | -0.01 | 16% | 25 Aug → | ||
| 7–13 | -0.00 | 16% | 25 Aug → | ||
| 13–16 | 0.06 | 23% | 24 Aug → | ||
| 13–8 | 0.03 | 17% | 24 Aug → | ||
| 13–3 | -0.01 | 21% | 24 Aug → | ||
| 13–7 | -0.03 | 10% | 24 Aug → | ||
| 2–13 | -0.03 | 14% | 24 Aug → | ||
| 5–13 | -0.05 | 5% | 24 Aug → | ||
| 16–14 | 0.02 | 18% | 24 Aug → | ||
| 9–13 | 0.05 | 14% | 24 Aug → | ||
| 3–13 | -0.07 | 17% | 24 Aug → | ||
| 8–13 | -0.01 | 18% | 17 Aug → | ||
| 3–13 | -0.06 | 11% | 17 Aug → | ||
| 13–11 | -0.01 | 20% | 17 Aug → | ||
| 4–13 | 0.02 | 20% | 17 Aug → | ||
| 4–13 | -0.01 | 21% | 17 Aug → | ||
| 7–13 | 0.01 | 24% | 14 Aug → | ||
| 5–13 | -0.07 | 17% | 14 Aug → | ||
| 13–11 | -0.02 | 23% | 14 Aug → | ||
| 13–6 | -0.00 | 16% | 13 Aug → | ||
| 15–15 | -0.08 | 16% | 13 Aug → | ||
| 11–13 | 0.00 | 27% | 13 Aug → | ||
| 5–13 | 0.00 | 23% | 13 Aug → | ||
| 8–13 | -0.06 | 28% | 13 Aug → | ||
| 2–13 | -0.08 | 16% | 13 Aug → | ||
| 13–0 | 0.08 | 11% | 13 Aug → | ||
| 2–13 | -0.09 | 14% | 11 Aug → | ||
| 8–8 | -0.13 | 6% | 11 Aug → | ||
| 5–13 | -0.02 | 15% | 11 Aug → | ||
| 8–13 | -0.10 | 25% | 10 Aug → | ||
| 13–7 | -0.07 | 22% | 10 Aug → | ||
| 9–13 | 0.07 | 23% | 10 Aug → | ||
| 13–6 | 0.01 | 11% | 10 Aug → | ||
| 13–7 | -0.05 | 14% | 10 Aug → | ||
| 13–10 | -0.05 | 10% | 10 Aug → | ||
| 13–5 | 0.03 | 17% | 10 Aug → | ||
| 3–13 | 0.01 | 4% | 10 Aug → | ||
| 4–13 | -0.02 | 4% | 10 Aug → | ||
| 11–13 | -0.02 | 8% | 10 Aug → | ||
| 9–6 | 0.11 | 23% | 10 Aug → | ||
| 13–7 | 0.01 | 4% | 9 Aug → | ||
| 8–13 | -0.08 | 7% | 9 Aug → | ||
| 4–13 | -0.05 | 11% | 9 Aug → | ||
| 9–3 | 0.07 | 25% | 9 Aug → | ||
| 13–4 | -0.07 | 8% | 7 Aug → | ||
| 2–13 | -0.09 | 4% | 7 Aug → | ||
| 13–8 | -0.09 | 6% | 7 Aug → | ||
| 13–6 | -0.02 | 17% | 7 Aug → | ||
| 11–13 | -0.05 | 12% | 7 Aug → | ||
| 13–4 | 0.12 | 28% | 6 Aug → | ||
| 13–6 | 0.05 | 14% | 6 Aug → | ||
| 8–13 | 0.03 | 12% | 6 Aug → | ||
| 5–9 | -0.06 | 8% | 5 Aug → | ||
| 13–8 | -0.05 | 18% | 4 Aug → | ||
| 6–13 | -0.09 | 7% | 4 Aug → | ||
| 13–3 | -0.07 | 4% | 4 Aug → | ||
| 13–6 | 0.05 | 16% | 4 Aug → | ||
| 9–13 | -0.02 | 11% | 4 Aug → | ||
| 13–3 | 0.08 | 14% | 4 Aug → | ||
| 13–11 | -0.01 | 13% | 4 Aug → | ||
| 16–12 | -0.03 | 18% | 2 Aug → | ||
| 5–1 | -0.03 | 20% | 2 Aug → | ||
| 9–13 | -0.03 | 12% | 2 Aug → | ||
| 13–10 | -0.00 | 12% | 2 Aug → | ||
| 3–13 | -0.06 | 14% | 2 Aug → | ||
| 3–13 | -0.05 | 21% | 2 Aug → | ||
| 13–7 | 0.03 | 10% | 1 Aug → | ||
| 13–10 | 0.14 | 16% | 1 Aug → | ||
| 13–6 | 0.04 | 9% | 1 Aug → | ||
| 3–13 | -0.02 | 18% | 30 Jul → | ||
| 13–7 | 0.07 | 23% | 30 Jul → | ||
| 2–13 | -0.06 | 8% | 30 Jul → | ||
| 13–5 | 0.03 | 14% | 30 Jul → | ||
| 15–15 | 0.01 | 15% | 30 Jul → | ||
| 11–13 | 0.01 | 13% | 30 Jul → | ||
| 5–12 | 0.03 | 15% | 30 Jul → | ||
| 9–13 | -0.03 | 24% | 30 Jul → | ||
| 2–13 | -0.03 | 8% | 29 Jul → | ||
| 13–10 | 0.09 | 9% | 29 Jul → | ||
| 6–13 | -0.00 | 19% | 29 Jul → | ||
| 7–13 | -0.01 | 17% | 29 Jul → | ||
| 13–10 | 0.02 | 9% | 29 Jul → | ||
| 5–13 | -0.07 | 18% | 29 Jul → | ||
| 7–13 | 0.12 | 6% | 28 Jul → | ||
| 12–16 | -0.02 | 18% | 27 Jul → | ||
| 9–13 | 0.06 | 11% | 27 Jul → | ||
| 8–13 | 0.05 | 10% | 27 Jul → |
Match data via Leetify.
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