sieppari — CS2 Stats
FI76561198008375366[U:1:48109638]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=2,587), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 35.2% | 43.7% | 44.7% | 9.5% short |
| Shot accuracy | 10.8% | 11.8% | 12.1% | 1.2% short |
| Kill/death ratio | 0.93 | 1.02 | 1.04 | 0.10 short |
| Match win rate | 34.6% | 45.0% | 45.2% | 10.6% short |
This profile sits below the typical Level 6 player on every metric we can compare.
Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.01 avg rating
Player DNA
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 78% playstyle similarity
Most alike: utility contribution, positioning profile.
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
T-side openings. Opening success drops from 42% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 649ms 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 (×0.90 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 |
|---|---|---|---|---|---|
 nuke | A | 21 | 12–9 | 57% | -0.02 |
 ancient | B | 20 | 9–11 | 45% | -0.02 |
 dust2 | B | 12 | 6–6 | 50% | -0.01 |
 mirage | A | 10 | 6–4 | 60% | -0.02 |
 overpass | A | 9 | 5–4 | 56% | -0.04 |
 train | C | 9 | 4–5 | 44% | -0.02 |
 inferno | S | 8 | 7–1 | 88% | -0.00 |
 anubis | D | 8 | 0–8 | 0% | -0.01 |
 cache | — | 2 | 1–1 | 50% | -0.03 |
| office | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Anubis 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 80 | 42% | 0.79 | 11.8 |
| Nuke | 66 | 56% | 1.07 | 13.3 |
| Ancient | 57 | 51% | 0.92 | 13.7 |
| Anubis | 45 | 40% | 0.87 | 12.5 |
| Dust2 | 44 | 45% | 1.09 | 12.2 |
| Inferno | 20 | 60% | 1.00 | 14.7 |
| Overpass | 16 | 81% | 0.80 | 11.9 |
| Train | 15 | 47% | 1.00 | 15.1 |
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.
- 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 12.0585% — 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 19.3893% — 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.
0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 9–13 | -0.07 | 4% | 5 May → | |
| cache | 13–9 | 0.02 | 8% | 5 May → | |
| inferno | 13–6 | 0.03 | 14% | 5 May → | |
| mirage | 13–4 | -0.03 | 7% | 26 Apr → | |
| dust2 | 13–0 | 0.09 | 11% | 23 Apr → | |
| overpass | 13–7 | -0.07 | 10% | 18 Apr → | |
| overpass | 8–13 | -0.05 | 4% | 18 Apr → | |
| anubis | 8–13 | -0.01 | 6% | 26 Mar → | |
| ancient | 13–10 | 0.01 | 12% | 26 Mar → | |
| inferno | 13–7 | 0.04 | 13% | 25 Mar → | |
| ancient | 5–13 | -0.00 | 28% | 25 Mar → | |
| nuke | 10–13 | -0.04 | 13% | 25 Mar → | |
| nuke | 12–16 | -0.03 | 12% | 24 Mar → | |
| nuke | 13–9 | 0.00 | 18% | 20 Mar → | |
| ancient | 13–9 | 0.06 | 20% | 8 Mar → | |
| dust2 | 15–19 | -0.06 | 13% | 6 Mar → | |
| mirage | 7–13 | -0.03 | 11% | 6 Mar → | |
| dust2 | 19–16 | 0.05 | 18% | 3 Mar → | |
| ancient | 13–10 | -0.02 | 5% | 13 Feb → | |
| anubis | 8–13 | -0.06 | 4% | 6 Feb → | |
| nuke | 13–8 | 0.04 | 24% | 6 Feb → | |
| nuke | 8–13 | -0.08 | 7% | 6 Feb → | |
| dust2 | 13–3 | -0.08 | 7% | 2 Feb → | |
| dust2 | 13–1 | 0.03 | 10% | 2 Feb → | |
| anubis | 1–13 | -0.05 | 12% | 30 Jan → | |
| nuke | 13–10 | 0.01 | 13% | 15 Jan → | |
| train | 4–13 | -0.02 | 15% | 5 Jan → | |
| train | 6–13 | 0.01 | 13% | 5 Jan → | |
| train | 15–19 | -0.03 | 14% | 3 Jan → | |
| ancient | 8–13 | -0.03 | 12% | 2 Jan → | |
| train | 10–13 | -0.03 | 6% | 2 Jan → | |
| mirage | 16–13 | -0.04 | 13% | 13 Dec → | |
| overpass | 13–11 | 0.03 | 11% | 12 Dec → | |
| train | 7–13 | -0.05 | 14% | 11 Dec → | |
| dust2 | 4–13 | -0.10 | 19% | 11 Dec → | |
| nuke | 5–13 | -0.05 | 6% | 11 Dec → | |
| dust2 | 13–4 | 0.06 | 14% | 11 Dec → | |
| nuke | 13–6 | -0.03 | 0% | 9 Dec → | |
| ancient | 13–11 | -0.06 | 4% | 9 Dec → | |
| train | 13–2 | -0.05 | 7% | 5 Dec → | |
| nuke | 16–12 | 0.01 | 13% | 5 Dec → | |
| overpass | 13–8 | -0.02 | 10% | 4 Dec → | |
| ancient | 7–13 | -0.07 | 6% | 4 Dec → | |
| dust2 | 13–4 | 0.03 | 6% | 4 Dec → | |
| ancient | 13–2 | 0.02 | 11% | 4 Dec → | |
| inferno | 13–3 | -0.02 | 8% | 3 Dec → | |
| inferno | 13–10 | 0.01 | 13% | 28 Nov → | |
| nuke | 13–7 | -0.01 | 11% | 28 Nov → | |
| nuke | 13–11 | -0.03 | 11% | 28 Nov → | |
| nuke | 8–13 | -0.06 | 13% | 28 Nov → | |
| overpass | 13–8 | -0.05 | 14% | 14 Nov → | |
| mirage | 13–0 | 0.01 | 17% | 11 Nov → | |
| ancient | 8–13 | 0.02 | 19% | 11 Nov → | |
| nuke | 13–8 | 0.00 | 6% | 8 Nov → | |
| dust2 | 10–13 | -0.05 | 19% | 8 Nov → | |
| ancient | 8–13 | -0.01 | 19% | 7 Nov → | |
| nuke | 13–4 | 0.00 | 9% | 31 Oct → | |
| nuke | 13–3 | 0.04 | 14% | 27 Oct → | |
| inferno | 13–10 | -0.04 | 10% | 27 Oct → | |
| overpass | 13–6 | -0.05 | 19% | 26 Oct → | |
| mirage | 7–13 | -0.03 | 22% | 26 Oct → | |
| ancient | 6–13 | -0.06 | 12% | 26 Oct → | |
| overpass | 1–13 | -0.11 | 7% | 17 Oct → | |
| ancient | 16–13 | -0.00 | 13% | 17 Oct → | |
| mirage | 13–11 | 0.02 | 15% | 6 Oct → | |
| ancient | 13–5 | 0.01 | 6% | 6 Oct → | |
| inferno | 13–11 | -0.01 | 11% | 6 Oct → | |
| mirage | 13–9 | 0.00 | 21% | 4 Oct → | |
| nuke | 11–13 | -0.06 | 19% | 4 Oct → | |
| nuke | 9–13 | 0.00 | 7% | 3 Oct → | |
| nuke | 13–3 | -0.01 | 20% | 3 Oct → | |
| office | 9–13 | -0.04 | 18% | 3 Oct → | |
| overpass | 1–13 | -0.00 | 11% | 24 Sept → | |
| dust2 | 11–13 | -0.05 | 10% | 12 Sept → | |
| dust2 | 10–13 | -0.05 | 9% | 12 Sept → | |
| overpass | 11–13 | -0.00 | 13% | 22 Aug → | |
| ancient | 13–8 | -0.01 | 9% | 12 Aug → | |
| train | 13–3 | 0.01 | 16% | 12 Aug → | |
| mirage | 8–13 | -0.06 | 6% | 12 Aug → | |
| ancient | 5–13 | -0.05 | 4% | 10 Jul → | |
| train | 13–6 | 0.03 | 20% | 10 Jul → | |
| dust2 | 6–13 | -0.04 | 18% | 10 Jul → | |
| ancient | 8–13 | -0.08 | 14% | 8 Jul → | |
| mirage | 13–3 | -0.02 | 7% | 8 Jul → | |
| anubis | 9–13 | 0.00 | 14% | 4 Jul → | |
| nuke | 11–13 | -0.01 | 24% | 4 Jul → | |
| anubis | 12–12 | -0.04 | 5% | 2 Jul → | |
| inferno | 13–9 | -0.06 | 12% | 25 Jun → | |
| nuke | 13–6 | -0.03 | 6% | 25 Jun → | |
| ancient | 4–13 | -0.03 | 14% | 19 Jun → | |
| ancient | 11–13 | 0.01 | 7% | 19 Jun → | |
| train | 13–8 | -0.04 | 6% | 19 Jun → | |
| anubis | 14–16 | -0.01 | 23% | 25 May → | |
| anubis | 9–13 | 0.02 | 10% | 25 May → | |
| ancient | 6–13 | -0.02 | 9% | 23 May → | |
| nuke | 8–13 | -0.00 | 15% | 23 May → | |
| ancient | 13–6 | -0.01 | 21% | 23 May → | |
| inferno | 15–15 | 0.03 | 18% | 23 May → | |
| anubis | 15–15 | 0.08 | 13% | 9 May → | |
| mirage | 8–13 | 0.01 | 14% | 6 May → |
Match data via Leetify.
