ApexFaMe — CS2 Stats
76561198281245854[U:1:320980126]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 44.7% | 52.8% | 8.1% short |
| Shot accuracy | 8.8% | 13.7% | 4.9% short |
| Kill/death ratio | 0.91 | 1.08 | 0.17 short |
| Match win rate | 25.6% | 49.2% | 23.6% short |
This profile sits below the typical Level 10 player on every metric we can compare.
Widest gap: Match win rate. 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: -10pp win rate · -0.03 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 NiKo 91% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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
Preaim. Mechanical aim is strong but the crosshair sits 11.3° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
 ancient | S | 23 | 16–7 | 70% | 0.03 |
 dust2 | S | 18 | 14–4 | 78% | 0.05 |
 overpass | B | 17 | 9–8 | 53% | 0.02 |
 mirage | S | 10 | 7–3 | 70% | 0.04 |
 nuke | S | 9 | 6–3 | 67% | 0.10 |
 anubis | D | 8 | 1–7 | 13% | 0.00 |
 inferno | S | 6 | 4–2 | 67% | 0.03 |
 train | — | 3 | 2–1 | 67% | 0.09 |
 cache | — | 2 | 1–1 | 50% | -0.02 |
| office | — | 2 | 1–1 | 50% | 0.03 |
| poseidon | — | 1 | 0–1 | 0% | -0.11 |
 vertigo | — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (13% 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 51 | 45% | 1.07 | 16.0 |
| Dust2 | 47 | 64% | 1.27 | 16.4 |
| Mirage | 37 | 57% | 1.08 | 15.4 |
| Overpass | 30 | 60% | 0.97 | 14.3 |
| Inferno | 18 | 50% | 1.10 | 17.1 |
| Nuke | 17 | 65% | 1.63 | 23.1 |
| Anubis | 11 | 36% | 0.93 | 16.4 |
| Train | 10 | 50% | 1.01 | 16.2 |
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 13.8637% — below the 15% mark we flag
- 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 0.4816 — 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 35.8511% — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 10–13 | -0.02 | 7% | 21 Jul → | |
| cache | 10–13 | -0.02 | 13% | 4 Jul → | |
| poseidon | 5–9 | -0.11 | 25% | 2 Jul → | |
| overpass | 3–13 | 0.01 | 10% | 2 Jul → | |
| dust2 | 13–4 | 0.13 | 26% | 2 Jul → | |
| cache | 13–4 | -0.01 | 15% | 26 Jun → | |
| dust2 | 13–1 | 0.19 | 16% | 3 Jun → | |
| nuke | 9–13 | 0.12 | 16% | 2 Jun → | |
| mirage | 13–7 | -0.01 | 17% | 2 Jun → | |
| mirage | 13–7 | 0.08 | 16% | 25 Apr → | |
| anubis | 12–12 | 0.02 | 8% | 3 Apr → | |
| ancient | 4–13 | 0.02 | 12% | 25 Mar → | |
| ancient | 13–7 | 0.02 | 8% | 23 Mar → | |
| ancient | 8–0 | 0.11 | 10% | 23 Mar → | |
| office | 12–12 | 0.04 | 18% | 18 Mar → | |
| office | 13–6 | 0.02 | 19% | 18 Mar → | |
| ancient | 13–9 | 0.13 | 18% | 14 Mar → | |
| overpass | 13–1 | 0.05 | 12% | 12 Mar → | |
| inferno | 7–13 | 0.08 | 15% | 2 Mar → | |
| train | 13–4 | 0.18 | 23% | 25 Feb → | |
| anubis | 16–19 | 0.01 | 12% | 10 Feb → | |
| ancient | 12–16 | -0.01 | 14% | 10 Feb → | |
| overpass | 13–2 | -0.04 | 13% | 10 Feb → | |
| nuke | 13–4 | 0.11 | 15% | 10 Feb → | |
| nuke | 13–3 | 0.12 | 24% | 9 Feb → | |
| anubis | 5–13 | -0.07 | 5% | 3 Feb → | |
| anubis | 14–16 | -0.09 | 9% | 2 Feb → | |
| anubis | 7–13 | 0.05 | 13% | 2 Feb → | |
| vertigo | 13–5 | -0.05 | 6% | 1 Feb → | |
| mirage | 13–9 | 0.01 | 9% | 31 Jan → | |
| nuke | 13–8 | 0.08 | 19% | 31 Jan → | |
| nuke | 11–1 | 0.14 | 18% | 31 Jan → | |
| inferno | 13–6 | 0.01 | 1% | 31 Jan → | |
| dust2 | 6–13 | 0.04 | 11% | 27 Jan → | |
| ancient | 13–9 | 0.02 | 18% | 25 Jan → | |
| anubis | 13–5 | 0.06 | 23% | 24 Jan → | |
| anubis | 8–13 | 0.03 | 14% | 22 Jan → | |
| mirage | 13–6 | 0.10 | 11% | 22 Jan → | |
| ancient | 8–13 | 0.03 | 11% | 22 Jan → | |
| overpass | 13–2 | 0.09 | 18% | 21 Jan → | |
| anubis | 8–13 | -0.00 | 7% | 21 Jan → | |
| train | 13–4 | 0.08 | 25% | 19 Jan → | |
| mirage | 13–6 | 0.03 | 13% | 19 Jan → | |
| overpass | 13–2 | 0.15 | 11% | 18 Jan → | |
| dust2 | 13–3 | 0.01 | 10% | 18 Jan → | |
| ancient | 13–2 | -0.04 | 14% | 17 Jan → | |
| train | 10–13 | -0.00 | 13% | 17 Jan → | |
| dust2 | 15–15 | -0.04 | 8% | 16 Jan → | |
| dust2 | 13–4 | 0.08 | 16% | 16 Jan → | |
| ancient | 13–8 | 0.05 | 9% | 16 Jan → | |
| dust2 | 16–13 | 0.01 | 14% | 16 Jan → | |
| dust2 | 13–8 | 0.08 | 17% | 16 Jan → | |
| inferno | 13–5 | 0.10 | 17% | 15 Jan → | |
| overpass | 13–9 | 0.07 | 9% | 14 Jan → | |
| dust2 | 8–13 | -0.07 | 7% | 14 Jan → | |
| nuke | 13–16 | 0.06 | 12% | 12 Jan → | |
| overpass | 7–13 | -0.00 | 13% | 11 Jan → | |
| inferno | 10–13 | -0.02 | 15% | 11 Jan → | |
| ancient | 5–13 | -0.07 | 10% | 31 Dec → | |
| ancient | 16–13 | 0.02 | 9% | 30 Dec → | |
| overpass | 10–13 | 0.01 | 21% | 26 Dec → | |
| mirage | 7–13 | -0.01 | 10% | 26 Dec → | |
| overpass | 8–13 | -0.02 | 15% | 26 Dec → | |
| dust2 | 13–6 | 0.01 | 21% | 26 Dec → | |
| ancient | 13–5 | 0.10 | 14% | 26 Dec → | |
| dust2 | 13–9 | 0.04 | 13% | 25 Dec → | |
| overpass | 13–6 | 0.09 | 16% | 25 Dec → | |
| dust2 | 16–13 | 0.02 | 13% | 23 Dec → | |
| inferno | 13–11 | -0.01 | 9% | 22 Dec → | |
| ancient | 13–5 | -0.03 | 22% | 22 Dec → | |
| dust2 | 13–8 | -0.01 | 7% | 17 Dec → | |
| ancient | 5–13 | -0.08 | 14% | 17 Dec → | |
| dust2 | 13–1 | 0.11 | 19% | 16 Dec → | |
| dust2 | 16–13 | 0.02 | 19% | 16 Dec → | |
| dust2 | 13–10 | 0.12 | 13% | 16 Dec → | |
| dust2 | 13–6 | -0.00 | 19% | 12 Dec → | |
| mirage | 11–13 | 0.03 | 12% | 12 Dec → | |
| inferno | 13–8 | -0.01 | 14% | 11 Dec → | |
| ancient | 13–10 | 0.02 | 10% | 10 Dec → | |
| ancient | 13–0 | 0.17 | 14% | 9 Dec → | |
| overpass | 14–16 | -0.00 | 17% | 7 Dec → | |
| ancient | 13–2 | 0.03 | 8% | 7 Dec → | |
| overpass | 13–10 | -0.01 | 13% | 7 Dec → | |
| dust2 | 5–13 | 0.09 | 11% | 6 Dec → | |
| nuke | 7–13 | 0.03 | 14% | 4 Dec → | |
| ancient | 13–2 | 0.02 | 4% | 4 Dec → | |
| overpass | 11–13 | -0.05 | 12% | 26 Nov → | |
| ancient | 17–19 | 0.01 | 8% | 26 Nov → | |
| ancient | 4–13 | -0.01 | 7% | 26 Nov → | |
| overpass | 14–16 | 0.04 | 11% | 25 Nov → | |
| ancient | 13–11 | 0.03 | 8% | 25 Nov → | |
| ancient | 13–3 | 0.15 | 12% | 24 Nov → | |
| overpass | 13–0 | 0.02 | 2% | 24 Nov → | |
| ancient | 13–6 | 0.02 | 10% | 19 Nov → | |
| overpass | 13–10 | -0.04 | 2% | 19 Nov → | |
| mirage | 13–8 | 0.12 | 11% | 18 Nov → | |
| nuke | 13–7 | 0.13 | 18% | 17 Nov → | |
| mirage | 13–5 | 0.06 | 15% | 14 Nov → | |
| overpass | 11–13 | -0.02 | 15% | 11 Nov → | |
| nuke | 13–11 | 0.07 | 16% | 10 Nov → |
Match data via Leetify.
