Eragon — CS2 Stats
BV76561198098697694[U:1:138431966]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 38.3% | 44.0% | 44.7% | 6.4% short |
| Shot accuracy | 19.9% | 11.6% | 11.9% | above |
| Kill/death ratio | 1.24 | 1.03 | 1.04 | above |
| Match win rate | 38.6% | 45.1% | 45.2% | 6.6% short |
This profile matches the typical Level 6 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 6 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: +0pp win rate · -0.01 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 sh1ro 80% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 592ms 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 5.1/10 (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 |
|---|---|---|---|---|---|
| A | 22 | 12–10 | 55% | -0.00 | |
| A | 18 | 11–7 | 61% | 0.03 | |
| B | 17 | 9–8 | 53% | 0.01 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| D | 11 | 3–8 | 27% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| agency | — | 2 | 1–1 | 50% | -0.01 |
| jura | — | 2 | 1–1 | 50% | 0.07 |
| — | 2 | 2–0 | 100% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| alpine | — | 1 | 0–1 | 0% | -0.00 |
| edin | — | 1 | 1–0 | 100% | 0.06 |
| palais | — | 1 | 0–1 | 0% | -0.16 |
| basalt | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (27% over 11). 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 18 | 72% | 1.33 | 18.9 |
| Nuke | 18 | 61% | 1.36 | 19.6 |
| Inferno | 10 | 50% | 1.31 | 18.4 |
| Vertigo | 8 | 38% | 1.21 | 22.1 |
| Mirage | 8 | 25% | 0.85 | 14.4 |
| Ancient | 3 | 67% | 0.89 | 18.0 |
| Dust2 | 1 | 0% | 1.05 | 21.0 |
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 12.6445% — 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 0.3563 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.05 | 9% | 21 Apr → | ||
| 13–11 | 0.08 | 16% | 21 Apr → | ||
| 2–13 | -0.06 | 7% | 21 Apr → | ||
| 11–13 | 0.03 | 16% | 21 Apr → | ||
| 10–13 | 0.02 | 9% | 4 Apr → | ||
| 6–13 | -0.07 | 13% | 4 Apr → | ||
| alpine | 10–13 | -0.00 | 16% | 4 Apr → | |
| 13–6 | -0.04 | 14% | 1 Apr → | ||
| 13–10 | 0.01 | 10% | 1 Apr → | ||
| 8–13 | 0.04 | 5% | 1 Apr → | ||
| 3–13 | -0.06 | 11% | 1 Apr → | ||
| 10–2 | 0.16 | 31% | 1 Apr → | ||
| 6–13 | -0.03 | 16% | 30 Mar → | ||
| 13–10 | 0.00 | 16% | 30 Mar → | ||
| 9–13 | -0.03 | 25% | 30 Mar → | ||
| 13–3 | 0.08 | 12% | 30 Mar → | ||
| 5–13 | -0.01 | 11% | 15 Jun → | ||
| 7–13 | -0.02 | 7% | 15 Jun → | ||
| 11–13 | -0.01 | 14% | 15 Jun → | ||
| 13–8 | 0.08 | 12% | 15 Jun → | ||
| 13–5 | 0.03 | 10% | 15 Jun → | ||
| 13–8 | 0.03 | 12% | 14 Jun → | ||
| 13–11 | -0.03 | 11% | 14 Jun → | ||
| agency | 11–13 | -0.03 | 12% | 14 Jun → | |
| 9–13 | 0.04 | 11% | 14 Jun → | ||
| agency | 13–10 | 0.01 | 15% | 12 Jun → | |
| jura | 12–12 | 0.05 | 15% | 9 Jun → | |
| jura | 13–5 | 0.08 | 4% | 9 Jun → | |
| 12–12 | -0.00 | 10% | 9 Jun → | ||
| 13–4 | 0.04 | 13% | 30 May → | ||
| 2–13 | -0.05 | 15% | 30 May → | ||
| 13–6 | 0.05 | 22% | 15 Mar → | ||
| 12–16 | -0.07 | 13% | 15 Mar → | ||
| 16–13 | 0.02 | 13% | 8 Mar → | ||
| 6–13 | -0.02 | 14% | 8 Mar → | ||
| 13–5 | -0.00 | 5% | 8 Mar → | ||
| 13–11 | -0.00 | 8% | 17 Feb → | ||
| 11–13 | -0.01 | 12% | 17 Feb → | ||
| 3–13 | -0.04 | 13% | 14 Feb → | ||
| 10–6 | 0.01 | 16% | 14 Feb → | ||
| 6–13 | -0.02 | 2% | 1 Feb → | ||
| 13–3 | 0.01 | 4% | 1 Feb → | ||
| 13–6 | -0.00 | 11% | 1 Feb → | ||
| 5–13 | 0.02 | 13% | 1 Feb → | ||
| 12–12 | 0.02 | 18% | 1 Feb → | ||
| 13–7 | -0.04 | 12% | 1 Feb → | ||
| 13–11 | -0.00 | 10% | 29 Jan → | ||
| 9–13 | 0.05 | 5% | 29 Jan → | ||
| 13–11 | 0.04 | 12% | 12 Jan → | ||
| 13–6 | 0.05 | 9% | 12 Jan → | ||
| 12–12 | 0.04 | 10% | 12 Jan → | ||
| 3–13 | -0.07 | 5% | 10 Jan → | ||
| 6–13 | -0.03 | 12% | 10 Jan → | ||
| 10–13 | 0.01 | 20% | 10 Jan → | ||
| 7–13 | 0.03 | 12% | 9 Jan → | ||
| 4–13 | -0.04 | 8% | 9 Jan → | ||
| 13–3 | 0.03 | 12% | 9 Jan → | ||
| 13–6 | -0.00 | 19% | 8 Jan → | ||
| 13–7 | 0.07 | 7% | 8 Jan → | ||
| 13–11 | -0.03 | 7% | 5 Jan → | ||
| 12–12 | -0.01 | 15% | 5 Jan → | ||
| 12–12 | 0.03 | 8% | 5 Jan → | ||
| 12–12 | -0.02 | 17% | 5 Jan → | ||
| 13–10 | 0.02 | 11% | 20 Dec → | ||
| 15–15 | 0.04 | 11% | 19 Dec → | ||
| 13–16 | -0.01 | 10% | 19 Dec → | ||
| 13–10 | -0.02 | 8% | 19 Dec → | ||
| 6–13 | -0.02 | 21% | 19 Dec → | ||
| 13–8 | -0.00 | 13% | 19 Dec → | ||
| 13–10 | 0.05 | 13% | 19 Dec → | ||
| 7–13 | -0.03 | 16% | 19 Dec → | ||
| 13–7 | -0.00 | 6% | 19 Dec → | ||
| 13–11 | 0.07 | 10% | 19 Dec → | ||
| 13–2 | 0.00 | 14% | 19 Dec → | ||
| 13–3 | 0.07 | 18% | 18 Dec → | ||
| 7–13 | 0.01 | 11% | 18 Dec → | ||
| 0–10 | -0.02 | 17% | 18 Dec → | ||
| 13–9 | 0.04 | 10% | 18 Dec → | ||
| 14–16 | -0.02 | 8% | 18 Dec → | ||
| 9–13 | 0.02 | 11% | 18 Dec → | ||
| 13–6 | 0.14 | 26% | 18 Dec → | ||
| 5–13 | 0.06 | 12% | 18 Dec → | ||
| 13–4 | 0.04 | 10% | 18 Dec → | ||
| 13–5 | -0.02 | 15% | 18 Dec → | ||
| 8–13 | -0.02 | 15% | 17 Dec → | ||
| 13–11 | -0.02 | 10% | 17 Dec → | ||
| 9–7 | 0.06 | 19% | 17 Dec → | ||
| 4–13 | -0.05 | 8% | 17 Dec → | ||
| 13–6 | 0.01 | 20% | 16 Dec → | ||
| 13–5 | 0.01 | 27% | 16 Dec → | ||
| 13–5 | -0.04 | 21% | 16 Dec → | ||
| 13–6 | 0.11 | 16% | 2 Dec → | ||
| 13–11 | -0.01 | 12% | 2 Dec → | ||
| edin | 13–1 | 0.06 | 18% | 2 Dec → | |
| 8–13 | -0.11 | 7% | 27 Nov → | ||
| 13–5 | 0.08 | 26% | 27 Nov → | ||
| 13–5 | 0.02 | 17% | 27 Nov → | ||
| 13–2 | 0.07 | 24% | 27 Nov → | ||
| palais | 3–9 | -0.16 | 9% | 22 Nov → | |
| basalt | 5–13 | -0.04 | 10% | 22 Nov → |
Match data via Leetify.