Frame — CS2 Stats
CZ76561198014188890[U:1:53923162]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=3,003), 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 | 41.1% | 47.0% | 48.4% | 7.3% short |
| Shot accuracy | 15.8% | 12.8% | 13.2% | above |
| Kill/death ratio | 0.99 | 1.07 | 1.08 | 0.09 short |
| Match win rate | 43.6% | 46.4% | 47.0% | 3.5% short |
This profile matches the typical Level 9 player on 1 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: -10pp win rate · -0.03 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 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. 556ms 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 5.0/10 (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 |
|---|---|---|---|---|---|
 inferno | C | 17 | 7–10 | 41% | -0.04 |
 mirage | A | 16 | 9–7 | 56% | -0.02 |
 dust2 | C | 15 | 6–9 | 40% | -0.02 |
 ancient | S | 12 | 8–4 | 67% | 0.01 |
 nuke | B | 10 | 5–5 | 50% | -0.03 |
 overpass | C | 8 | 3–5 | 38% | -0.01 |
 anubis | D | 7 | 2–5 | 29% | -0.02 |
 train | S | 6 | 6–0 | 100% | 0.04 |
 vertigo | — | 4 | 3–1 | 75% | 0.02 |
| office | — | 3 | 1–2 | 33% | 0.09 |
 cache | — | 1 | 1–0 | 100% | 0.01 |
| poseidon | — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 7). 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 141 | 49% | 1.00 | 15.1 |
| Dust2 | 109 | 49% | 1.01 | 15.5 |
| Ancient | 87 | 45% | 1.01 | 15.4 |
| Inferno | 69 | 61% | 0.98 | 15.2 |
| Anubis | 45 | 47% | 1.04 | 16.9 |
| Nuke | 33 | 52% | 0.98 | 15.8 |
| Overpass | 25 | 36% | 1.00 | 16.1 |
| Cache | 16 | 56% | 1.09 | 16.7 |
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 14.3287% — 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 33.5109% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–7 | -0.06 | 18% | 26 Jul → | |
| mirage | 13–3 | -0.01 | 19% | 26 Jul → | |
| mirage | 0–4 | -0.05 | 100% | 25 Jun → | |
| nuke | 14–16 | -0.04 | 15% | 25 Jun → | |
| anubis | 13–10 | 0.04 | 10% | 25 Jun → | |
| overpass | 14–16 | -0.08 | 13% | 24 Jun → | |
| anubis | 6–13 | -0.11 | 12% | 24 Jun → | |
| inferno | 13–16 | -0.06 | 13% | 22 Jun → | |
| anubis | 13–6 | -0.05 | 9% | 22 Jun → | |
| mirage | 13–10 | -0.03 | 19% | 22 Jun → | |
| nuke | 13–5 | -0.06 | 14% | 22 Jun → | |
| mirage | 10–13 | -0.09 | 11% | 22 Jun → | |
| ancient | 13–10 | 0.01 | 10% | 21 Jun → | |
| dust2 | 13–10 | 0.05 | 12% | 21 Jun → | |
| dust2 | 10–13 | -0.00 | 20% | 9 Jun → | |
| dust2 | 14–16 | -0.00 | 16% | 28 May → | |
| ancient | 13–7 | 0.04 | 16% | 24 May → | |
| dust2 | 3–13 | -0.07 | 17% | 23 May → | |
| dust2 | 22–20 | -0.05 | 14% | 9 May → | |
| inferno | 13–4 | -0.01 | 14% | 8 May → | |
| cache | 13–11 | 0.01 | 13% | 5 May → | |
| overpass | 9–13 | 0.08 | 18% | 1 May → | |
| mirage | 13–7 | 0.10 | 14% | 1 May → | |
| train | 13–2 | 0.11 | 16% | 25 Apr → | |
| train | 13–8 | 0.11 | 18% | 25 Apr → | |
| ancient | 9–13 | 0.03 | 12% | 24 Apr → | |
| anubis | 8–13 | -0.03 | 11% | 24 Apr → | |
| dust2 | 12–16 | -0.02 | 14% | 23 Apr → | |
| vertigo | 13–4 | 0.04 | 8% | 9 Apr → | |
| vertigo | 13–6 | 0.03 | 9% | 9 Apr → | |
| anubis | 10–13 | 0.11 | 15% | 7 Apr → | |
| anubis | 12–12 | -0.03 | 16% | 7 Apr → | |
| ancient | 13–10 | -0.00 | 18% | 5 Apr → | |
| dust2 | 6–13 | -0.03 | 20% | 22 Mar → | |
| ancient | 9–13 | 0.03 | 9% | 22 Mar → | |
| inferno | 9–6 | -0.06 | 11% | 22 Mar → | |
| office | 3–7 | 0.25 | 11% | 21 Mar → | |
| inferno | 9–13 | -0.03 | 6% | 21 Mar → | |
| inferno | 13–2 | 0.04 | 6% | 21 Mar → | |
| office | 5–13 | -0.03 | 17% | 20 Mar → | |
| dust2 | 13–8 | 0.03 | 32% | 16 Mar → | |
| nuke | 13–10 | -0.07 | 16% | 14 Mar → | |
| mirage | 7–13 | -0.04 | 16% | 13 Feb → | |
| nuke | 13–5 | -0.04 | 3% | 11 Feb → | |
| mirage | 13–11 | -0.03 | 16% | 11 Feb → | |
| inferno | 14–16 | -0.04 | 17% | 10 Feb → | |
| inferno | 6–9 | -0.11 | 19% | 1 Feb → | |
| mirage | 13–11 | 0.02 | 25% | 1 Feb → | |
| mirage | 13–4 | 0.03 | 14% | 30 Jan → | |
| inferno | 9–5 | -0.15 | 9% | 30 Jan → | |
| nuke | 4–13 | -0.03 | 24% | 27 Jan → | |
| mirage | 4–13 | -0.09 | 21% | 27 Jan → | |
| overpass | 13–5 | 0.02 | 15% | 24 Jan → | |
| mirage | 13–8 | -0.07 | 14% | 23 Jan → | |
| poseidon | 9–4 | 0.10 | 21% | 22 Jan → | |
| office | 13–6 | 0.05 | 22% | 22 Jan → | |
| dust2 | 11–13 | -0.02 | 20% | 9 Jan → | |
| overpass | 5–9 | -0.06 | 11% | 6 Jan → | |
| inferno | 9–7 | -0.09 | 7% | 6 Jan → | |
| inferno | 3–13 | -0.03 | 11% | 2 Jan → | |
| inferno | 4–13 | -0.06 | 6% | 31 Dec → | |
| ancient | 13–9 | -0.01 | 16% | 28 Dec → | |
| dust2 | 13–11 | -0.02 | 11% | 28 Dec → | |
| dust2 | 11–13 | 0.00 | 21% | 27 Dec → | |
| overpass | 8–13 | -0.04 | 7% | 27 Dec → | |
| nuke | 13–11 | -0.06 | 12% | 27 Dec → | |
| inferno | 14–16 | -0.00 | 11% | 21 Oct → | |
| ancient | 13–10 | 0.04 | 19% | 12 Oct → | |
| overpass | 10–13 | -0.02 | 17% | 6 Sept → | |
| train | 13–11 | -0.01 | 10% | 6 Sept → | |
| ancient | 13–16 | -0.02 | 9% | 2 Sept → | |
| nuke | 15–15 | -0.02 | 15% | 10 Apr → | |
| dust2 | 9–13 | 0.02 | 15% | 29 Mar → | |
| nuke | 9–13 | 0.07 | 15% | 19 Mar → | |
| mirage | 8–13 | 0.08 | 10% | 8 Mar → | |
| inferno | 13–11 | -0.04 | 5% | 7 Mar → | |
| ancient | 7–13 | 0.02 | 12% | 4 Mar → | |
| mirage | 14–16 | -0.03 | 13% | 16 Feb → | |
| train | 13–9 | -0.06 | 7% | 14 Feb → | |
| train | 13–8 | 0.05 | 7% | 9 Feb → | |
| train | 13–7 | 0.06 | 17% | 9 Feb → | |
| ancient | 13–5 | -0.02 | 8% | 31 Jan → | |
| inferno | 10–13 | -0.05 | 13% | 31 Jan → | |
| ancient | 13–10 | -0.02 | 15% | 30 Jan → | |
| dust2 | 13–8 | -0.03 | 13% | 30 Jan → | |
| nuke | 10–13 | -0.07 | 9% | 30 Jan → | |
| nuke | 11–3 | -0.01 | 30% | 30 Jan → | |
| vertigo | 9–7 | -0.06 | 36% | 2 Jan → | |
| mirage | 13–4 | 0.00 | 27% | 21 Dec → | |
| ancient | 13–2 | -0.00 | 11% | 17 Oct → | |
| inferno | 7–13 | 0.00 | 12% | 1 Apr → | |
| anubis | 0–13 | -0.09 | 6% | 14 Jan → | |
| mirage | 9–13 | -0.03 | 13% | 14 Jan → | |
| vertigo | 9–13 | 0.06 | 16% | 14 Jan → | |
| mirage | 13–9 | -0.06 | 18% | 3 Dec → | |
| overpass | 13–2 | 0.01 | 18% | 2 Dec → | |
| inferno | 9–6 | 0.11 | 15% | 8 Sept → | |
| inferno | 5–16 | -0.07 | 13% | 22 Dec → | |
| overpass | 16–13 | 0.05 | 20% | 2 Nov → | |
| dust2 | 12–16 | -0.04 | 21% | 1 Nov → |
Match data via Leetify.
