sägyyyy — CS2 Stats
FI76561198310551833[U:1:350286105]Steam profile ↗
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 46.3% | 49.0% | 52.0% | 5.7% short |
| Shot accuracy | 13.9% | 13.1% | 13.7% | meets |
| Kill/death ratio | 0.85 | 1.08 | 1.08 | 0.23 short |
| Match win rate | 46.6% | 46.9% | 48.8% | 2.2% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 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: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 86% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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. 627ms 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 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| D | 21 | 6–15 | 29% | 0.00 | |
| A | 18 | 11–7 | 61% | 0.01 | |
| C | 17 | 6–11 | 35% | -0.01 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| B | 11 | 5–6 | 45% | -0.03 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| D | 6 | 1–5 | 17% | -0.00 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| warden | — | 1 | 1–0 | 100% | 0.13 |
| golden | — | 1 | 1–0 | 100% | -0.04 |
| palacio | — | 1 | 0–1 | 0% | 0.02 |
| — | 1 | 1–0 | 100% | 0.06 |
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 329 | 53% | 0.96 | 14.5 |
| Nuke | 151 | 48% | 0.94 | 14.4 |
| Ancient | 140 | 49% | 0.84 | 13.9 |
| Anubis | 126 | 52% | 0.95 | 14.9 |
| Inferno | 119 | 50% | 0.92 | 13.9 |
| Dust2 | 99 | 42% | 0.99 | 15.2 |
| Overpass | 61 | 66% | 1.13 | 15.8 |
| Train | 30 | 50% | 0.91 | 14.4 |
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 26.4247% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.02 | 13% | 5 May → | ||
| 13–9 | 0.08 | 19% | 5 May → | ||
| 16–14 | 0.06 | 15% | 5 May → | ||
| 13–8 | -0.03 | 16% | 3 May → | ||
| 6–13 | -0.02 | 18% | 3 May → | ||
| 12–16 | -0.04 | 20% | 28 Mar → | ||
| 12–16 | -0.00 | 23% | 24 Mar → | ||
| 6–13 | -0.02 | 10% | 23 Mar → | ||
| 11–13 | -0.01 | 21% | 23 Mar → | ||
| 6–13 | -0.03 | 32% | 5 Mar → | ||
| 9–13 | -0.05 | 10% | 4 Mar → | ||
| 8–13 | 0.04 | 27% | 4 Mar → | ||
| 13–5 | 0.06 | 13% | 2 Mar → | ||
| 13–8 | -0.04 | 22% | 2 Mar → | ||
| 2–13 | -0.01 | 10% | 24 Feb → | ||
| 9–13 | 0.03 | 28% | 19 Feb → | ||
| 8–13 | -0.02 | 22% | 19 Feb → | ||
| 10–13 | 0.01 | 19% | 14 Feb → | ||
| 11–13 | 0.00 | 12% | 14 Feb → | ||
| 13–5 | 0.02 | 18% | 14 Feb → | ||
| 10–13 | -0.06 | 13% | 13 Feb → | ||
| 5–13 | -0.06 | 3% | 11 Feb → | ||
| 6–13 | -0.06 | 16% | 6 Feb → | ||
| 13–11 | -0.01 | 11% | 6 Feb → | ||
| 13–8 | 0.08 | 25% | 6 Feb → | ||
| 5–13 | 0.01 | 26% | 4 Feb → | ||
| 13–5 | 0.04 | 12% | 3 Feb → | ||
| 13–9 | 0.01 | 18% | 3 Feb → | ||
| 13–10 | 0.00 | 17% | 3 Feb → | ||
| 13–3 | -0.00 | 8% | 3 Feb → | ||
| 4–13 | -0.04 | 13% | 1 Feb → | ||
| 13–4 | 0.00 | 17% | 28 Jan → | ||
| 13–10 | 0.01 | 10% | 28 Jan → | ||
| warden | 13–6 | 0.13 | 14% | 22 Jan → | |
| 13–8 | 0.04 | 15% | 21 Jan → | ||
| 13–7 | 0.02 | 17% | 21 Jan → | ||
| golden | 13–10 | -0.04 | 16% | 10 Jan → | |
| palacio | 12–12 | 0.02 | 23% | 10 Jan → | |
| 13–5 | 0.06 | 27% | 10 Jan → | ||
| 14–16 | -0.01 | 15% | 6 Jan → | ||
| 14–16 | -0.02 | 19% | 5 Jan → | ||
| 5–13 | 0.02 | 16% | 5 Jan → | ||
| 11–13 | -0.01 | 25% | 5 Jan → | ||
| 13–11 | 0.01 | 23% | 4 Jan → | ||
| 8–13 | -0.08 | 17% | 4 Jan → | ||
| 13–10 | 0.09 | 13% | 4 Jan → | ||
| 3–13 | -0.01 | 19% | 3 Jan → | ||
| 13–8 | -0.04 | 13% | 3 Jan → | ||
| 11–13 | -0.04 | 16% | 1 Jan → | ||
| 13–10 | -0.05 | 16% | 1 Jan → | ||
| 16–14 | -0.01 | 19% | 1 Jan → | ||
| 8–13 | -0.04 | 17% | 1 Jan → | ||
| 11–13 | 0.00 | 11% | 31 Dec → | ||
| 16–14 | 0.00 | 13% | 30 Dec → | ||
| 12–16 | 0.02 | 23% | 30 Dec → | ||
| 16–14 | 0.01 | 16% | 30 Dec → | ||
| 13–16 | -0.05 | 9% | 25 Dec → | ||
| 14–16 | -0.04 | 11% | 22 Dec → | ||
| 12–16 | -0.03 | 10% | 19 Dec → | ||
| 5–13 | -0.00 | 16% | 17 Dec → | ||
| 13–16 | 0.06 | 23% | 15 Dec → | ||
| 13–9 | 0.01 | 20% | 15 Dec → | ||
| 8–13 | -0.07 | 28% | 10 Dec → | ||
| 9–13 | 0.08 | 29% | 7 Dec → | ||
| 10–13 | 0.00 | 40% | 6 Dec → | ||
| 7–13 | -0.01 | 13% | 5 Dec → | ||
| 11–13 | -0.01 | 18% | 1 Dec → | ||
| 5–13 | 0.04 | 22% | 26 Nov → | ||
| 4–13 | -0.04 | 18% | 17 Nov → | ||
| 10–13 | 0.03 | 25% | 14 Nov → | ||
| 16–12 | 0.00 | 22% | 14 Nov → | ||
| 15–15 | 0.08 | 14% | 14 Nov → | ||
| 9–13 | 0.01 | 20% | 9 Nov → | ||
| 5–13 | -0.04 | 8% | 7 Nov → | ||
| 11–13 | 0.04 | 20% | 21 Oct → | ||
| 10–13 | -0.10 | 23% | 12 Oct → | ||
| 13–8 | -0.01 | 10% | 6 Oct → | ||
| 13–9 | 0.04 | 8% | 24 Sept → | ||
| 13–8 | -0.02 | 30% | 24 Sept → | ||
| 13–10 | -0.03 | 16% | 24 Sept → | ||
| 4–10 | -0.00 | 26% | 23 Sept → | ||
| 11–13 | 0.02 | 20% | 23 Sept → | ||
| 12–16 | -0.02 | 13% | 23 Sept → | ||
| 13–8 | 0.04 | 18% | 23 Sept → | ||
| 5–13 | -0.06 | 13% | 19 Sept → | ||
| 13–10 | 0.01 | 29% | 19 Sept → | ||
| 13–7 | -0.01 | 17% | 19 Sept → | ||
| 13–7 | -0.00 | 13% | 19 Sept → | ||
| 13–4 | 0.08 | 25% | 19 Sept → | ||
| 6–13 | 0.02 | 37% | 14 Sept → | ||
| 12–16 | -0.01 | 21% | 12 Sept → | ||
| 11–13 | 0.00 | 17% | 11 Sept → | ||
| 9–13 | -0.07 | 7% | 11 Sept → | ||
| 13–3 | 0.01 | 15% | 11 Sept → | ||
| 5–13 | -0.06 | 27% | 11 Sept → | ||
| 13–7 | 0.06 | 18% | 9 Sept → | ||
| 13–6 | -0.03 | 20% | 9 Sept → | ||
| 13–5 | -0.03 | 25% | 9 Sept → | ||
| 7–13 | -0.03 | 8% | 9 Sept → | ||
| 4–13 | 0.01 | 26% | 8 Sept → |
Match data via Leetify.