xeq — CS2 Stats
FR76561197967072006[U:1:6806278]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 |
|---|---|---|
| Headshot rate | 54.1% | 52.0% |
| Shot accuracy | 13.0% | 13.7% |
| Kill/death ratio | 1.18 | 1.08 |
| Match win rate | 52.2% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 sh1ro 90% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: 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 59% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 564ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | A | 29 | 18–11 | 62% | 0.03 |
 dust2 | C | 22 | 9–13 | 41% | 0.02 |
 anubis | S | 15 | 11–4 | 73% | 0.02 |
 overpass | S | 13 | 10–3 | 77% | 0.03 |
 cache | A | 8 | 5–3 | 63% | 0.03 |
 nuke | D | 5 | 0–5 | 0% | 0.01 |
| office | — | 3 | 0–3 | 0% | 0.08 |
 train | — | 3 | 3–0 | 100% | 0.04 |
 ancient | — | 1 | 0–1 | 0% | -0.02 |
 mirage | — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 498 | 47% | 1.31 | 19.6 |
| Inferno | 470 | 64% | 1.45 | 20.5 |
| Anubis | 307 | 55% | 1.28 | 19.2 |
| Nuke | 166 | 43% | 1.25 | 18.1 |
| Overpass | 153 | 54% | 1.36 | 18.7 |
| Ancient | 83 | 35% | 1.12 | 18.3 |
| Mirage | 63 | 44% | 1.09 | 17.2 |
| Vertigo | 55 | 49% | 1.36 | 18.6 |
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 0.402 — 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 34.3042% — 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–7 | 0.01 | 33% | 27 Aug → | |
| cache | 22–18 | 0.01 | 21% | 25 Aug → | |
| inferno | 10–13 | -0.01 | 20% | 10 Aug → | |
| inferno | 13–9 | 0.07 | 29% | 3 Aug → | |
| dust2 | 13–6 | 0.17 | 33% | 3 Aug → | |
| dust2 | 1–13 | -0.10 | 20% | 21 Jul → | |
| nuke | 3–13 | 0.02 | 24% | 20 Jul → | |
| anubis | 5–13 | -0.04 | 40% | 20 Jul → | |
| cache | 13–10 | -0.00 | 24% | 20 Jul → | |
| inferno | 13–7 | 0.08 | 31% | 19 Jul → | |
| dust2 | 13–8 | -0.02 | 28% | 18 Jul → | |
| inferno | 13–11 | 0.04 | 20% | 18 Jul → | |
| dust2 | 11–13 | 0.00 | 11% | 17 Jul → | |
| anubis | 13–10 | 0.08 | 30% | 17 Jul → | |
| anubis | 13–7 | -0.02 | 30% | 17 Jul → | |
| cache | 13–6 | -0.04 | 33% | 15 Jul → | |
| anubis | 13–10 | 0.05 | 17% | 13 Jul → | |
| inferno | 13–4 | 0.04 | 36% | 12 Jul → | |
| dust2 | 5–13 | -0.07 | 4% | 7 Jul → | |
| overpass | 13–5 | 0.01 | 16% | 6 Jul → | |
| anubis | 10–13 | 0.09 | 20% | 29 Jun → | |
| cache | 13–7 | 0.11 | 24% | 29 Jun → | |
| dust2 | 11–13 | 0.02 | 40% | 25 Jun → | |
| inferno | 13–8 | -0.01 | 32% | 24 Jun → | |
| overpass | 10–13 | 0.05 | 28% | 20 Jun → | |
| dust2 | 6–13 | -0.04 | 34% | 18 Jun → | |
| overpass | 13–11 | 0.01 | 25% | 17 Jun → | |
| cache | 13–4 | 0.12 | 35% | 10 Jun → | |
| anubis | 13–8 | 0.08 | 17% | 8 Jun → | |
| anubis | 13–5 | 0.02 | 27% | 7 Jun → | |
| dust2 | 6–13 | -0.03 | 28% | 6 Jun → | |
| anubis | 13–16 | 0.05 | 26% | 4 Jun → | |
| dust2 | 16–19 | 0.02 | 30% | 31 May → | |
| inferno | 11–13 | 0.04 | 23% | 24 May → | |
| inferno | 8–13 | -0.00 | 24% | 23 May → | |
| cache | 14–16 | 0.01 | 20% | 21 May → | |
| cache | 7–13 | 0.06 | 42% | 17 May → | |
| inferno | 13–10 | -0.02 | 27% | 13 May → | |
| office | 12–12 | 0.26 | 33% | 13 May → | |
| dust2 | 5–13 | -0.04 | 24% | 10 May → | |
| dust2 | 20–22 | -0.01 | 26% | 10 May → | |
| overpass | 5–13 | 0.01 | 30% | 10 May → | |
| inferno | 16–13 | 0.05 | 30% | 9 May → | |
| overpass | 8–13 | 0.05 | 22% | 5 May → | |
| inferno | 13–7 | -0.01 | 26% | 3 May → | |
| cache | 11–13 | 0.02 | 30% | 1 May → | |
| anubis | 16–14 | 0.03 | 32% | 26 Apr → | |
| overpass | 13–5 | 0.02 | 35% | 23 Apr → | |
| overpass | 13–10 | 0.05 | 20% | 10 Apr → | |
| ancient | 12–16 | -0.02 | 22% | 7 Apr → | |
| inferno | 10–13 | -0.02 | 33% | 7 Apr → | |
| inferno | 16–12 | 0.04 | 34% | 3 Apr → | |
| anubis | 13–9 | 0.02 | 23% | 1 Apr → | |
| dust2 | 13–6 | 0.03 | 25% | 31 Mar → | |
| nuke | 6–13 | 0.01 | 45% | 30 Mar → | |
| overpass | 13–6 | 0.08 | 18% | 30 Mar → | |
| dust2 | 19–16 | 0.11 | 22% | 24 Mar → | |
| office | 2–13 | -0.03 | 19% | 22 Mar → | |
| dust2 | 13–3 | 0.07 | 32% | 21 Mar → | |
| dust2 | 13–3 | 0.11 | 36% | 20 Mar → | |
| inferno | 11–13 | 0.00 | 17% | 19 Mar → | |
| inferno | 13–5 | 0.13 | 16% | 18 Mar → | |
| overpass | 16–13 | 0.01 | 25% | 17 Mar → | |
| inferno | 13–3 | 0.09 | 26% | 16 Mar → | |
| overpass | 13–10 | 0.01 | 21% | 8 Mar → | |
| inferno | 13–11 | 0.03 | 27% | 28 Feb → | |
| inferno | 1–13 | -0.01 | 41% | 28 Feb → | |
| overpass | 19–15 | -0.00 | 19% | 27 Feb → | |
| train | 6–2 | 0.08 | 19% | 26 Feb → | |
| train | 13–10 | 0.00 | 16% | 26 Feb → | |
| dust2 | 11–13 | 0.06 | 19% | 23 Feb → | |
| nuke | 5–13 | 0.06 | 23% | 19 Feb → | |
| dust2 | 13–10 | -0.01 | 40% | 18 Feb → | |
| inferno | 5–13 | -0.03 | 31% | 16 Feb → | |
| anubis | 5–13 | -0.06 | 11% | 11 Feb → | |
| dust2 | 11–13 | 0.03 | 37% | 10 Feb → | |
| inferno | 9–13 | -0.01 | 23% | 5 Feb → | |
| anubis | 16–12 | -0.02 | 20% | 5 Feb → | |
| anubis | 13–11 | 0.07 | 21% | 2 Feb → | |
| nuke | 5–13 | -0.05 | 14% | 1 Feb → | |
| inferno | 13–5 | 0.06 | 23% | 1 Feb → | |
| overpass | 13–7 | 0.05 | 25% | 1 Feb → | |
| anubis | 13–7 | 0.02 | 27% | 27 Jan → | |
| anubis | 13–11 | -0.01 | 22% | 22 Jan → | |
| office | 12–12 | 0.02 | 33% | 22 Jan → | |
| mirage | 13–8 | -0.00 | 17% | 19 Jan → | |
| overpass | 13–8 | 0.10 | 28% | 14 Jan → | |
| inferno | 13–11 | 0.03 | 19% | 13 Jan → | |
| dust2 | 7–0 | 0.16 | 24% | 12 Jan → | |
| inferno | 4–13 | 0.04 | 21% | 12 Jan → | |
| inferno | 13–11 | 0.01 | 21% | 8 Jan → | |
| inferno | 17–19 | 0.01 | 20% | 7 Jan → | |
| train | 13–3 | 0.04 | 21% | 5 Jan → | |
| dust2 | 4–13 | -0.07 | 50% | 3 Jan → | |
| inferno | 8–13 | -0.00 | 29% | 3 Jan → | |
| inferno | 13–9 | 0.08 | 23% | 31 Dec → | |
| inferno | 13–5 | 0.05 | 29% | 30 Dec → | |
| nuke | 10–13 | -0.01 | 21% | 30 Dec → | |
| dust2 | 13–11 | 0.08 | 35% | 30 Dec → | |
| dust2 | 11–13 | -0.02 | 27% | 30 Dec → |
Match data via Leetify.
