Avangard_0 — CS2 Stats
76561199575409235[U:1:1615143507]✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 43.5% | 49.0% | 52.0% | 8.6% short |
| Shot accuracy | 0.2% | 13.1% | 13.7% | 13.5% short |
| Kill/death ratio | 1.01 | 1.08 | 1.08 | 0.08 short |
| Match win rate | 48.6% | 46.9% | 48.8% | meets |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: -40pp win rate · -0.11 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerLimited utility dependence
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 m0NESY 95% playstyle similarity
Most alike: opening-fight frequency, aim profile.
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
Strengths
Aim. Aim score of 100 — the mechanical foundation is a clear strength.
CT openings. 79% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 79% on CT to 55% on T — the same duels are being taken with worse setups on the attacking side.
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 8.3/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 49 | 36–13 | 73% | 0.12 | |
| S | 22 | 16–6 | 73% | 0.05 | |
| S | 14 | 11–3 | 79% | 0.06 | |
| S | 8 | 6–2 | 75% | 0.10 | |
| — | 4 | 2–2 | 50% | 0.11 | |
| — | 2 | 2–0 | 100% | 0.04 | |
| — | 1 | 0–1 | 0% | 0.09 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (73% over 49). 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 100 | 50% | 1.26 | 17.3 |
| Dust2 | 87 | 56% | 1.22 | 18.9 |
| Ancient | 41 | 56% | 1.28 | 16.8 |
| Inferno | 27 | 56% | 1.05 | 17.7 |
| Nuke | 11 | 64% | 1.05 | 16.7 |
| Overpass | 10 | 60% | 1.36 | 20.3 |
| Anubis | 10 | 30% | 0.88 | 15.9 |
| Train | 3 | 33% | 0.89 | 14.7 |
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.0297 — below the 4 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.05 | 16% | 28 Aug → | ||
| 11–13 | -0.08 | 11% | 28 Aug → | ||
| 9–13 | 0.00 | 11% | 23 Aug → | ||
| 0–10 | -0.03 | 14% | 22 Aug → | ||
| 7–13 | 0.11 | 22% | 22 Aug → | ||
| 2–9 | -0.06 | 17% | 22 Aug → | ||
| 13–10 | 0.19 | 79% | 19 Aug → | ||
| 13–1 | 0.08 | 62% | 19 Aug → | ||
| 13–2 | 0.10 | 27% | 17 Aug → | ||
| 6–7 | 0.14 | 64% | 17 Aug → | ||
| 5–1 | 0.13 | 75% | 17 Aug → | ||
| 12–5 | 0.13 | 37% | 17 Aug → | ||
| 1–5 | 0.22 | 100% | 16 Aug → | ||
| 13–7 | 0.08 | 30% | 16 Aug → | ||
| 13–7 | 0.07 | 48% | 16 Aug → | ||
| 12–12 | 0.24 | 47% | 16 Aug → | ||
| 13–3 | 0.15 | 82% | 16 Aug → | ||
| 13–2 | 0.21 | 58% | 16 Aug → | ||
| 13–2 | 0.12 | 43% | 16 Aug → | ||
| 9–3 | 0.13 | 83% | 16 Aug → | ||
| 13–6 | 0.13 | 49% | 16 Aug → | ||
| 10–13 | 0.26 | 95% | 16 Aug → | ||
| 12–1 | 0.01 | 35% | 16 Aug → | ||
| 13–2 | 0.26 | 57% | 16 Aug → | ||
| 13–2 | 0.19 | 64% | 16 Aug → | ||
| 13–3 | 0.47 | 58% | 15 Aug → | ||
| 10–13 | 0.36 | 96% | 15 Aug → | ||
| 4–0 | 0.20 | 100% | 15 Aug → | ||
| 13–11 | 0.31 | 35% | 15 Aug → | ||
| 13–5 | 0.22 | 64% | 15 Aug → | ||
| 13–3 | 0.28 | 67% | 15 Aug → | ||
| 13–1 | 0.07 | 88% | 15 Aug → | ||
| 13–8 | 0.17 | 77% | 15 Aug → | ||
| 13–1 | 0.04 | 56% | 15 Aug → | ||
| 13–0 | 0.07 | 83% | 15 Aug → | ||
| 13–0 | 0.05 | 17% | 15 Aug → | ||
| 13–2 | 0.13 | 71% | 15 Aug → | ||
| 4–2 | 0.10 | 50% | 15 Aug → | ||
| 13–4 | 0.20 | 57% | 15 Aug → | ||
| 5–0 | 0.05 | 36% | 15 Aug → | ||
| 10–13 | 0.34 | 75% | 14 Aug → | ||
| 13–0 | 0.12 | 56% | 14 Aug → | ||
| 13–4 | 0.27 | 67% | 14 Aug → | ||
| 13–1 | 0.07 | 38% | 14 Aug → | ||
| 7–9 | 0.25 | 63% | 14 Aug → | ||
| 7–1 | 0.04 | 67% | 13 Aug → | ||
| 5–3 | 0.13 | 30% | 5 Aug → | ||
| 0–13 | -0.07 | 11% | 5 Aug → | ||
| 13–0 | 0.12 | 45% | 5 Aug → | ||
| 13–4 | -0.00 | 21% | 5 Aug → | ||
| 13–0 | 0.01 | 56% | 5 Aug → | ||
| 5–0 | 0.07 | 55% | 5 Aug → | ||
| 13–0 | 0.11 | 42% | 5 Aug → | ||
| 2–13 | -0.03 | 67% | 5 Aug → | ||
| 13–10 | -0.12 | 33% | 5 Aug → | ||
| 13–7 | -0.03 | 29% | 5 Aug → | ||
| 1–13 | 0.00 | 54% | 5 Aug → | ||
| 9–4 | 0.09 | 37% | 5 Aug → | ||
| 9–3 | 0.26 | 28% | 5 Aug → | ||
| 13–5 | 0.07 | 46% | 4 Aug → | ||
| 13–6 | 0.26 | 53% | 4 Aug → | ||
| 10–13 | 0.08 | 35% | 4 Aug → | ||
| 13–8 | 0.15 | 22% | 4 Aug → | ||
| 13–7 | 0.04 | 18% | 4 Aug → | ||
| 11–7 | 0.07 | 24% | 4 Aug → | ||
| 9–2 | 0.21 | 7% | 4 Aug → | ||
| 13–1 | -0.01 | 17% | 4 Aug → | ||
| 13–0 | 0.01 | 100% | 4 Aug → | ||
| 13–0 | 0.00 | 50% | 4 Aug → | ||
| 1–13 | -0.12 | 100% | 4 Aug → | ||
| 13–4 | -0.00 | 41% | 4 Aug → | ||
| 13–8 | -0.08 | 33% | 4 Aug → | ||
| 15–15 | 0.06 | 35% | 4 Aug → | ||
| 9–4 | 0.01 | 38% | 4 Aug → | ||
| 13–3 | 0.02 | 19% | 4 Aug → | ||
| 13–0 | 0.08 | 33% | 4 Aug → | ||
| 1–7 | -0.08 | 25% | 4 Aug → | ||
| 1–13 | -0.06 | 22% | 3 Aug → | ||
| 1–13 | -0.05 | 30% | 3 Aug → | ||
| 13–3 | -0.03 | 31% | 3 Aug → | ||
| 13–7 | -0.01 | 21% | 3 Aug → | ||
| 13–4 | 0.07 | 43% | 3 Aug → | ||
| 13–5 | 0.02 | 46% | 3 Aug → | ||
| 13–1 | 0.08 | 32% | 3 Aug → | ||
| 7–1 | 0.04 | 43% | 3 Aug → | ||
| 2–13 | 0.02 | 56% | 3 Aug → | ||
| 13–11 | 0.19 | 47% | 3 Aug → | ||
| 5–13 | 0.09 | 62% | 3 Aug → | ||
| 13–4 | 0.22 | 36% | 3 Aug → | ||
| 8–13 | 0.32 | 44% | 3 Aug → | ||
| 13–11 | 0.04 | 24% | 2 Aug → | ||
| 13–3 | 0.03 | 28% | 2 Aug → | ||
| 16–12 | 0.11 | 44% | 2 Aug → | ||
| 13–5 | 0.10 | 32% | 2 Aug → | ||
| 9–13 | -0.01 | 37% | 1 Aug → | ||
| 13–8 | 0.02 | 28% | 1 Aug → | ||
| 13–0 | 0.13 | 31% | 1 Aug → | ||
| 13–5 | 0.07 | 21% | 1 Aug → | ||
| 0–13 | 0.06 | 47% | 1 Aug → | ||
| 0–13 | -0.06 | 46% | 1 Aug → |
Match data via Leetify.