Empel♡ve — CS2 Stats
PL76561198209446117[U:1:249180389]Steam profile ↗
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 | 41.3% | 52.0% |
| Shot accuracy | 12.7% | 13.7% |
| Kill/death ratio | 0.91 | 1.08 |
| Match win rate | 42.3% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.00 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 83% playstyle similarity
Most alike: opening-fight frequency, 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 44% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 58% 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 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| B | 28 | 14–14 | 50% | -0.01 | |
| D | 14 | 3–11 | 21% | -0.00 | |
| A | 11 | 6–5 | 55% | -0.01 | |
| A | 11 | 7–4 | 64% | 0.00 | |
| A | 10 | 6–4 | 60% | -0.01 | |
| S | 8 | 6–2 | 75% | 0.01 | |
| S | 7 | 5–2 | 71% | -0.02 | |
| S | 5 | 5–0 | 100% | -0.00 | |
| — | 3 | 0–3 | 0% | -0.03 | |
| shelter | — | 1 | 0–1 | 0% | 0.05 |
| warden | — | 1 | 1–0 | 100% | 0.04 |
| — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Dust 2 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 400 | 53% | 1.03 | 14.8 |
| Anubis | 311 | 53% | 1.07 | 14.8 |
| Ancient | 186 | 46% | 0.98 | 14.7 |
| Vertigo | 166 | 54% | 1.00 | 14.5 |
| Dust2 | 149 | 46% | 0.94 | 14.5 |
| Inferno | 140 | 49% | 0.95 | 14.6 |
| Overpass | 117 | 55% | 1.00 | 14.6 |
| Nuke | 57 | 35% | 0.95 | 13.6 |
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.
- 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 23.0385% — 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.
21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.01 | 16% | 28 Aug → | ||
| 8–13 | 0.04 | 13% | 28 Aug → | ||
| 13–9 | 0.06 | 17% | 28 Aug → | ||
| 13–10 | 0.01 | 14% | 9 Aug → | ||
| 13–6 | -0.00 | 11% | 9 Aug → | ||
| 12–16 | -0.04 | 15% | 8 Aug → | ||
| 11–13 | -0.07 | 28% | 5 Aug → | ||
| 13–2 | -0.01 | 13% | 5 Aug → | ||
| 13–5 | 0.03 | 7% | 1 Aug → | ||
| 16–13 | -0.03 | 11% | 31 Jul → | ||
| 13–10 | 0.03 | 12% | 29 Jul → | ||
| 13–11 | 0.03 | 14% | 22 Jul → | ||
| 13–4 | 0.02 | 17% | 16 Jul → | ||
| shelter | 6–13 | 0.05 | 27% | 10 Jul → | |
| 8–13 | -0.05 | 27% | 5 Jul → | ||
| 4–13 | -0.05 | 17% | 1 Jul → | ||
| 6–13 | -0.05 | 19% | 30 Jun → | ||
| 13–11 | 0.04 | 15% | 18 Jun → | ||
| 13–16 | -0.03 | 15% | 11 Jun → | ||
| 13–6 | 0.02 | 19% | 5 Jun → | ||
| 13–1 | 0.07 | 35% | 2 Jun → | ||
| warden | 13–7 | 0.04 | 38% | 1 Jun → | |
| 10–13 | -0.03 | 3% | 30 May → | ||
| 3–13 | -0.06 | 16% | 30 May → | ||
| 13–11 | -0.03 | 19% | 30 May → | ||
| 13–8 | -0.03 | 16% | 30 May → | ||
| 13–5 | 0.02 | 22% | 30 May → | ||
| 10–13 | -0.04 | 24% | 27 May → | ||
| 13–16 | -0.02 | 14% | 25 May → | ||
| 11–13 | -0.04 | 16% | 24 May → | ||
| 13–5 | -0.02 | 10% | 20 May → | ||
| 16–19 | -0.02 | 13% | 18 May → | ||
| 13–11 | 0.04 | 13% | 15 May → | ||
| 13–5 | 0.02 | 13% | 14 May → | ||
| 19–15 | -0.02 | 18% | 12 May → | ||
| 13–1 | 0.02 | 11% | 12 May → | ||
| 13–5 | 0.00 | 33% | 9 May → | ||
| 16–12 | 0.00 | 20% | 9 May → | ||
| 4–3 | -0.10 | 29% | 9 May → | ||
| 13–9 | 0.04 | 19% | 9 May → | ||
| 13–11 | -0.04 | 18% | 27 Apr → | ||
| 13–9 | 0.10 | 34% | 24 Apr → | ||
| 13–11 | 0.00 | 7% | 19 Apr → | ||
| 10–13 | -0.04 | 21% | 13 Apr → | ||
| 11–13 | -0.04 | 9% | 12 Apr → | ||
| 2–13 | -0.02 | 15% | 9 Apr → | ||
| 10–13 | -0.01 | 20% | 8 Apr → | ||
| 8–13 | -0.06 | 0% | 8 Apr → | ||
| 9–13 | -0.02 | 8% | 8 Apr → | ||
| 8–13 | -0.02 | 12% | 8 Apr → | ||
| 1–6 | -0.06 | 0% | 8 Apr → | ||
| 6–13 | -0.06 | 26% | 1 Apr → | ||
| 13–9 | -0.01 | 14% | 1 Apr → | ||
| 13–11 | -0.01 | 22% | 31 Mar → | ||
| 13–5 | 0.03 | 26% | 27 Mar → | ||
| 6–13 | -0.02 | 18% | 27 Mar → | ||
| 10–13 | -0.03 | 16% | 26 Mar → | ||
| 10–13 | 0.01 | 17% | 26 Mar → | ||
| 13–9 | -0.03 | 30% | 26 Mar → | ||
| 16–14 | -0.06 | 21% | 23 Mar → | ||
| 9–13 | 0.04 | 24% | 23 Mar → | ||
| 13–11 | 0.03 | 21% | 23 Mar → | ||
| 7–13 | -0.04 | 20% | 21 Mar → | ||
| 7–13 | 0.03 | 25% | 21 Mar → | ||
| 13–8 | 0.01 | 26% | 21 Mar → | ||
| 1–13 | -0.05 | 67% | 21 Mar → | ||
| 3–13 | -0.06 | 30% | 21 Mar → | ||
| 2–13 | -0.07 | 9% | 21 Mar → | ||
| 13–5 | 0.01 | 17% | 21 Mar → | ||
| 13–11 | -0.05 | 11% | 21 Mar → | ||
| 15–15 | 0.01 | 18% | 20 Mar → | ||
| 6–13 | -0.00 | 19% | 18 Mar → | ||
| 9–13 | -0.00 | 19% | 18 Mar → | ||
| 13–10 | -0.01 | 36% | 17 Mar → | ||
| 7–13 | -0.04 | 14% | 17 Mar → | ||
| 11–13 | -0.05 | 21% | 17 Mar → | ||
| 4–13 | -0.02 | 12% | 17 Mar → | ||
| 13–11 | 0.01 | 20% | 15 Mar → | ||
| 13–6 | 0.04 | 22% | 15 Mar → | ||
| 13–7 | -0.04 | 19% | 15 Mar → | ||
| 13–7 | 0.04 | 14% | 15 Mar → | ||
| 13–7 | 0.00 | 14% | 15 Mar → | ||
| 13–3 | 0.04 | 8% | 15 Mar → | ||
| 14–16 | 0.04 | 17% | 15 Mar → | ||
| 8–13 | 0.00 | 19% | 15 Mar → | ||
| 8–13 | -0.02 | 14% | 14 Mar → | ||
| 13–9 | 0.02 | 17% | 14 Mar → | ||
| 13–3 | -0.01 | 24% | 13 Mar → | ||
| 13–5 | 0.05 | 21% | 13 Mar → | ||
| 9–13 | -0.02 | 26% | 13 Mar → | ||
| 5–13 | -0.02 | 25% | 11 Mar → | ||
| 13–10 | -0.01 | 22% | 11 Mar → | ||
| 4–13 | -0.01 | 20% | 11 Mar → | ||
| 13–6 | -0.02 | 13% | 9 Mar → | ||
| 9–13 | 0.01 | 20% | 9 Mar → | ||
| 13–8 | 0.01 | 20% | 9 Mar → | ||
| 13–4 | 0.07 | 32% | 9 Mar → | ||
| 13–11 | 0.02 | 19% | 8 Mar → | ||
| 11–13 | -0.01 | 16% | 8 Mar → | ||
| 13–1 | 0.12 | 30% | 8 Mar → |
Match data via Leetify.
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