Senseye — CS2 Stats
FI76561198070266780[U:1:110001052]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 39.0% | 47.0% | 48.5% | 9.5% short |
| Shot accuracy | 20.4% | 12.7% | 13.3% | above |
| Kill/death ratio | 1.10 | 1.07 | 1.07 | above |
| Match win rate | 43.5% | 46.4% | 47.0% | 3.5% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 9 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: -50pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid 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 b1t 82% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
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. 604ms 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 4.5/10 (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 |
|---|---|---|---|---|---|
 train | B | 16 | 8–8 | 50% | 0.03 |
 mirage | A | 16 | 9–7 | 56% | -0.00 |
 ancient | B | 15 | 8–7 | 53% | 0.01 |
 anubis | B | 13 | 6–7 | 46% | 0.00 |
 nuke | B | 12 | 6–6 | 50% | 0.03 |
 inferno | B | 12 | 6–6 | 50% | -0.00 |
| edin | D | 6 | 1–5 | 17% | 0.04 |
 dust2 | — | 3 | 1–2 | 33% | 0.01 |
| jura | — | 2 | 0–2 | 0% | 0.04 |
| basalt | — | 2 | 1–1 | 50% | -0.01 |
 overpass | — | 1 | 0–1 | 0% | -0.02 |
| mills | — | 1 | 0–1 | 0% | 0.01 |
| thera | — | 1 | 0–1 | 0% | -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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 45 | 62% | 0.97 | 15.1 |
| Anubis | 43 | 44% | 1.01 | 15.7 |
| Mirage | 36 | 56% | 0.99 | 15.4 |
| Inferno | 31 | 48% | 0.96 | 14.0 |
| Nuke | 22 | 59% | 1.08 | 13.8 |
| Vertigo | 15 | 53% | 0.81 | 13.4 |
| Overpass | 8 | 50% | 0.96 | 13.0 |
| Dust2 | 8 | 62% | 1.11 | 18.0 |
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.
- 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 0.4951 — 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 38.4273% — 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.
46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| overpass | 5–13 | -0.02 | 15% | 30 Nov → | |
| ancient | 13–16 | -0.01 | 16% | 26 Nov → | |
| train | 10–13 | -0.03 | 11% | 3 Nov → | |
| mirage | 13–1 | 0.02 | 17% | 20 Oct → | |
| mirage | 10–13 | -0.06 | 24% | 20 Oct → | |
| ancient | 8–13 | -0.00 | 28% | 15 Oct → | |
| train | 17–19 | -0.03 | 8% | 8 Sept → | |
| train | 3–13 | 0.01 | 28% | 2 Aug → | |
| nuke | 3–13 | -0.02 | 9% | 2 Aug → | |
| jura | 7–13 | 0.07 | 15% | 2 Aug → | |
| ancient | 13–8 | 0.04 | 9% | 21 Jul → | |
| jura | 6–13 | 0.00 | 29% | 21 Jul → | |
| anubis | 13–8 | 0.01 | 14% | 28 May → | |
| nuke | 13–8 | -0.01 | 19% | 28 May → | |
| ancient | 11–13 | -0.03 | 6% | 7 May → | |
| anubis | 8–13 | -0.05 | 30% | 7 May → | |
| inferno | 13–8 | -0.04 | 18% | 7 May → | |
| nuke | 13–7 | 0.07 | 13% | 5 May → | |
| inferno | 12–16 | -0.03 | 20% | 28 Apr → | |
| ancient | 13–11 | 0.00 | 13% | 9 Apr → | |
| mirage | 13–7 | -0.00 | 15% | 9 Apr → | |
| ancient | 10–13 | -0.02 | 15% | 1 Apr → | |
| anubis | 11–13 | -0.00 | 9% | 24 Mar → | |
| inferno | 13–7 | -0.01 | 16% | 24 Mar → | |
| ancient | 13–10 | 0.03 | 15% | 24 Mar → | |
| anubis | 13–10 | 0.08 | 8% | 18 Mar → | |
| mirage | 13–4 | 0.03 | 16% | 18 Mar → | |
| inferno | 7–13 | -0.04 | 26% | 18 Mar → | |
| mirage | 2–6 | -0.07 | 29% | 12 Feb → | |
| nuke | 13–11 | 0.03 | 11% | 12 Feb → | |
| anubis | 7–13 | -0.04 | 13% | 10 Feb → | |
| ancient | 5–13 | -0.08 | 7% | 10 Feb → | |
| anubis | 11–13 | -0.02 | 8% | 10 Feb → | |
| dust2 | 19–16 | 0.06 | 15% | 9 Feb → | |
| ancient | 13–8 | 0.05 | 21% | 9 Feb → | |
| inferno | 13–6 | 0.02 | 8% | 9 Feb → | |
| nuke | 13–2 | 0.04 | 14% | 8 Feb → | |
| ancient | 13–2 | 0.05 | 16% | 8 Feb → | |
| ancient | 13–11 | 0.05 | 15% | 4 Feb → | |
| anubis | 13–2 | 0.09 | 14% | 4 Feb → | |
| nuke | 6–13 | 0.05 | 14% | 3 Feb → | |
| mirage | 13–16 | -0.01 | 17% | 2 Feb → | |
| inferno | 9–13 | -0.05 | 22% | 2 Feb → | |
| anubis | 13–9 | -0.03 | 12% | 2 Feb → | |
| dust2 | 8–13 | -0.01 | 24% | 27 Jan → | |
| ancient | 1–13 | -0.05 | 5% | 27 Jan → | |
| inferno | 5–13 | 0.05 | 16% | 27 Jan → | |
| nuke | 13–10 | 0.01 | 29% | 26 Jan → | |
| mirage | 4–0 | -0.00 | 18% | 26 Jan → | |
| anubis | 15–15 | -0.04 | 7% | 26 Jan → | |
| mirage | 7–13 | 0.01 | 14% | 26 Jan → | |
| dust2 | 9–13 | -0.01 | 16% | 19 Jan → | |
| mirage | 13–10 | 0.01 | 13% | 19 Jan → | |
| inferno | 13–7 | 0.02 | 17% | 19 Jan → | |
| anubis | 13–7 | -0.01 | 24% | 19 Jan → | |
| nuke | 13–5 | -0.03 | 13% | 18 Jan → | |
| mirage | 13–11 | 0.00 | 10% | 9 Jan → | |
| nuke | 10–13 | 0.01 | 11% | 6 Jan → | |
| train | 13–4 | 0.08 | 26% | 30 Dec → | |
| edin | 12–12 | 0.08 | 11% | 27 Dec → | |
| edin | 7–13 | 0.00 | 13% | 13 Dec → | |
| train | 12–12 | 0.03 | 14% | 10 Dec → | |
| train | 13–4 | 0.09 | 21% | 7 Dec → | |
| train | 4–13 | 0.00 | 4% | 7 Dec → | |
| nuke | 11–13 | 0.06 | 14% | 6 Dec → | |
| train | 13–5 | 0.07 | 15% | 6 Dec → | |
| edin | 8–13 | 0.03 | 10% | 27 Nov → | |
| train | 13–6 | 0.03 | 9% | 27 Nov → | |
| basalt | 11–13 | -0.05 | 22% | 21 Nov → | |
| train | 13–6 | 0.01 | 11% | 21 Nov → | |
| train | 7–13 | -0.04 | 27% | 18 Nov → | |
| basalt | 13–11 | 0.03 | 20% | 17 Nov → | |
| edin | 7–13 | 0.01 | 6% | 17 Nov → | |
| train | 6–3 | 0.16 | 16% | 17 Nov → | |
| edin | 12–12 | 0.07 | 22% | 16 Nov → | |
| train | 13–5 | 0.06 | 16% | 16 Nov → | |
| train | 12–12 | 0.07 | 9% | 16 Nov → | |
| train | 13–10 | 0.02 | 20% | 16 Nov → | |
| edin | 13–5 | 0.04 | 11% | 16 Nov → | |
| train | 3–13 | -0.02 | 9% | 16 Nov → | |
| mills | 3–13 | 0.01 | 11% | 9 Nov → | |
| nuke | 7–13 | 0.09 | 13% | 9 Nov → | |
| thera | 8–13 | -0.01 | 10% | 4 Nov → | |
| ancient | 7–13 | 0.07 | 9% | 4 Nov → | |
| ancient | 13–9 | 0.02 | 21% | 28 Oct → | |
| mirage | 13–10 | 0.06 | 15% | 28 Oct → | |
| mirage | 16–19 | -0.07 | 7% | 21 Oct → | |
| anubis | 11–13 | -0.03 | 7% | 21 Oct → | |
| mirage | 14–16 | 0.01 | 10% | 21 Oct → | |
| anubis | 13–11 | 0.01 | 10% | 21 Oct → | |
| mirage | 13–9 | 0.01 | 14% | 16 Oct → | |
| anubis | 6–13 | 0.02 | 9% | 11 Oct → | |
| nuke | 6–13 | 0.02 | 14% | 11 Oct → | |
| mirage | 13–6 | 0.07 | 6% | 11 Oct → | |
| inferno | 11–13 | -0.08 | 7% | 6 Oct → | |
| mirage | 9–13 | -0.04 | 21% | 6 Oct → | |
| inferno | 6–13 | 0.00 | 11% | 6 Oct → | |
| inferno | 13–10 | 0.06 | 10% | 5 Oct → | |
| ancient | 13–2 | 0.07 | 13% | 2 Oct → | |
| inferno | 13–10 | 0.06 | 12% | 2 Oct → |
Match data via Leetify.
