Elixa — CS2 Stats
76561199031108292[U:1:1070842564]
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 | 74.2% | 52.0% |
| Shot accuracy | 17.4% | 13.7% |
| Kill/death ratio | 1.12 | 1.08 |
| Match win rate | 46.0% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashes
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 Twistzz 88% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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 58% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 721ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 31 | 17–14 | 55% | 0.01 | |
| B | 21 | 11–10 | 52% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| S | 6 | 4–2 | 67% | -0.04 | |
| S | 5 | 4–1 | 80% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.13 | |
| — | 2 | 2–0 | 100% | 0.07 | |
| warden | — | 1 | 1–0 | 100% | 0.03 |
| sanctum | — | 1 | 1–0 | 100% | 0.12 |
| poseidon | — | 1 | 1–0 | 100% | 0.11 |
| office | — | 1 | 1–0 | 100% | -0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Inferno 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 180 | 51% | 1.16 | 15.8 |
| Ancient | 117 | 53% | 1.12 | 15.8 |
| Vertigo | 67 | 52% | 1.22 | 17.4 |
| Inferno | 52 | 60% | 1.16 | 15.9 |
| Nuke | 46 | 41% | 1.13 | 15.7 |
| Anubis | 42 | 50% | 1.05 | 15.0 |
| Overpass | 39 | 59% | 1.12 | 16.2 |
| Dust2 | 16 | 56% | 1.11 | 15.9 |
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 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 720.6134ms — above the 700ms 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 21.8628% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–1 | 0.08 | 60% | 31 Mar → | ||
| 13–10 | -0.00 | 43% | 13 Mar → | ||
| 8–13 | -0.06 | 31% | 13 Mar → | ||
| 10–13 | -0.07 | 15% | 11 Mar → | ||
| 3–13 | -0.04 | 50% | 11 Mar → | ||
| 1–13 | -0.08 | 29% | 6 Mar → | ||
| 11–13 | -0.05 | 27% | 5 Mar → | ||
| 13–16 | 0.03 | 21% | 5 Mar → | ||
| 13–5 | 0.02 | 22% | 5 Mar → | ||
| 2–13 | -0.05 | 13% | 5 Mar → | ||
| 12–8 | -0.04 | 42% | 4 Mar → | ||
| 13–4 | -0.05 | 11% | 4 Mar → | ||
| 0–6 | -0.04 | 25% | 4 Mar → | ||
| 8–13 | 0.03 | 45% | 3 Mar → | ||
| 13–7 | 0.10 | 38% | 3 Mar → | ||
| 13–7 | -0.03 | 17% | 2 Mar → | ||
| 16–13 | 0.07 | 19% | 1 Mar → | ||
| 10–13 | -0.06 | 19% | 1 Mar → | ||
| 11–13 | -0.05 | 26% | 28 Feb → | ||
| 5–13 | 0.05 | 35% | 27 Feb → | ||
| 3–13 | -0.02 | 11% | 27 Feb → | ||
| 5–13 | -0.01 | 27% | 26 Feb → | ||
| 9–13 | 0.01 | 36% | 26 Feb → | ||
| 13–5 | 0.08 | 18% | 26 Feb → | ||
| 13–11 | 0.03 | 20% | 26 Feb → | ||
| 10–13 | -0.05 | 31% | 26 Feb → | ||
| 13–3 | 0.00 | 33% | 26 Feb → | ||
| 6–0 | 0.01 | 50% | 26 Feb → | ||
| 13–8 | -0.05 | 25% | 23 Feb → | ||
| 7–13 | -0.08 | 67% | 23 Feb → | ||
| 6–13 | 0.06 | 30% | 22 Feb → | ||
| 13–10 | -0.00 | 29% | 22 Feb → | ||
| 13–10 | 0.03 | 24% | 21 Feb → | ||
| 13–9 | -0.02 | 36% | 21 Feb → | ||
| 8–13 | -0.07 | 11% | 21 Feb → | ||
| 2–0 | 0.03 | 100% | 21 Feb → | ||
| 13–9 | -0.01 | 29% | 21 Feb → | ||
| 7–13 | 0.07 | 28% | 21 Feb → | ||
| 6–13 | 0.03 | 33% | 21 Feb → | ||
| 0–3 | -0.00 | 50% | 21 Feb → | ||
| 13–9 | -0.01 | 34% | 21 Feb → | ||
| 13–0 | 0.07 | 45% | 17 Feb → | ||
| 13–2 | 0.01 | 23% | 15 Feb → | ||
| 11–13 | 0.18 | 24% | 15 Feb → | ||
| 5–13 | -0.02 | 26% | 14 Feb → | ||
| 9–13 | 0.06 | 21% | 14 Feb → | ||
| 15–15 | -0.02 | 24% | 14 Feb → | ||
| 13–6 | 0.05 | 44% | 14 Feb → | ||
| 3–13 | 0.06 | 17% | 14 Feb → | ||
| warden | 13–11 | 0.03 | 25% | 14 Feb → | |
| 1–9 | -0.22 | 50% | 14 Feb → | ||
| 4–9 | 0.04 | 30% | 13 Feb → | ||
| 9–7 | -0.04 | 17% | 13 Feb → | ||
| 6–9 | 0.07 | 39% | 13 Feb → | ||
| 9–4 | -0.00 | 16% | 13 Feb → | ||
| sanctum | 9–2 | 0.12 | 60% | 13 Feb → | |
| poseidon | 9–4 | 0.11 | 38% | 13 Feb → | |
| 13–9 | 0.02 | 24% | 13 Feb → | ||
| 13–11 | -0.00 | 32% | 13 Feb → | ||
| 5–0 | 0.00 | 50% | 11 Feb → | ||
| 7–13 | 0.03 | 37% | 11 Feb → | ||
| 1–13 | -0.10 | 13% | 4 Feb → | ||
| 13–3 | -0.02 | 36% | 4 Feb → | ||
| 8–13 | -0.03 | 42% | 4 Feb → | ||
| 13–6 | 0.07 | 40% | 4 Feb → | ||
| 13–7 | 0.03 | 16% | 4 Feb → | ||
| 10–13 | -0.01 | 32% | 4 Feb → | ||
| 5–13 | -0.04 | 43% | 4 Feb → | ||
| 9–13 | -0.03 | 40% | 3 Feb → | ||
| 9–13 | -0.07 | 29% | 30 Jan → | ||
| 16–14 | 0.06 | 27% | 29 Jan → | ||
| 13–11 | 0.01 | 35% | 29 Jan → | ||
| 4–13 | -0.04 | 16% | 29 Jan → | ||
| 13–6 | -0.06 | 10% | 28 Jan → | ||
| 13–11 | 0.06 | 18% | 28 Jan → | ||
| 13–9 | -0.04 | 24% | 28 Jan → | ||
| 13–11 | 0.02 | 24% | 27 Jan → | ||
| 7–13 | -0.01 | 31% | 27 Jan → | ||
| 13–5 | 0.01 | 23% | 27 Jan → | ||
| 13–3 | 0.12 | 43% | 26 Jan → | ||
| office | 13–11 | -0.07 | 57% | 26 Jan → | |
| 12–12 | 0.02 | 30% | 24 Jan → | ||
| 13–10 | 0.03 | 25% | 24 Jan → | ||
| 13–1 | 0.25 | 32% | 24 Jan → | ||
| 8–13 | 0.02 | 32% | 23 Jan → | ||
| 13–1 | 0.09 | 33% | 23 Jan → | ||
| 13–5 | 0.04 | 26% | 23 Jan → | ||
| 13–1 | 0.03 | 41% | 18 Jan → | ||
| 13–2 | 0.05 | 41% | 18 Jan → | ||
| 13–10 | 0.10 | 27% | 18 Jan → | ||
| 13–6 | 0.11 | 25% | 18 Jan → | ||
| 13–4 | 0.13 | 27% | 17 Jan → | ||
| 8–3 | 0.03 | 26% | 17 Jan → | ||
| 13–4 | 0.10 | 33% | 17 Jan → | ||
| 13–11 | 0.22 | 22% | 17 Jan → | ||
| 13–4 | -0.03 | 13% | 17 Jan → | ||
| 13–5 | 0.07 | 32% | 17 Jan → | ||
| 11–3 | 0.04 | 31% | 17 Jan → | ||
| 9–1 | 0.04 | 16% | 17 Jan → | ||
| 13–10 | 0.07 | 22% | 17 Jan → |
Match data via Leetify.