Avic — CS2 Stats
US76561198004851130[U:1:44585402]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.00 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 Twistzz 91% playstyle similarity
Most alike: opening-duel success, positioning 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
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 49% on CT to 31% 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 6.4/10 (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 |
|---|---|---|---|---|---|
| C | 25 | 11–14 | 44% | 0.03 | |
| S | 20 | 13–7 | 65% | 0.04 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| S | 12 | 8–4 | 67% | 0.05 | |
| D | 10 | 2–8 | 20% | 0.01 | |
| D | 9 | 2–7 | 22% | 0.02 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| office | C | 5 | 2–3 | 40% | 0.08 |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 89 | 61% | 1.26 | 17.0 |
| Vertigo | 76 | 61% | 1.35 | 17.6 |
| Mirage | 66 | 42% | 1.03 | 16.3 |
| Nuke | 59 | 71% | 1.29 | 17.5 |
| Ancient | 57 | 37% | 1.12 | 15.9 |
| Inferno | 49 | 47% | 1.27 | 16.3 |
| Dust2 | 32 | 31% | 0.98 | 16.1 |
| Overpass | 18 | 17% | 0.99 | 15.6 |
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.
- 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 13.2073% — below the 15% 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 31.0718% — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 18–22 | -0.03 | 7% | 27 Aug → | ||
| 13–7 | -0.03 | 11% | 26 Aug → | ||
| 13–11 | 0.03 | 11% | 26 Aug → | ||
| 9–13 | 0.00 | 20% | 25 Aug → | ||
| 8–13 | 0.05 | 9% | 25 Aug → | ||
| 7–13 | 0.01 | 13% | 25 Aug → | ||
| 10–13 | 0.03 | 17% | 24 Aug → | ||
| 15–15 | 0.02 | 23% | 24 Aug → | ||
| 11–13 | -0.01 | 11% | 24 Aug → | ||
| 13–4 | 0.01 | 13% | 23 Aug → | ||
| 13–11 | 0.06 | 15% | 23 Aug → | ||
| 13–8 | -0.02 | 7% | 23 Aug → | ||
| 4–13 | 0.01 | 14% | 23 Aug → | ||
| 12–12 | 0.04 | 11% | 22 Aug → | ||
| 15–15 | 0.04 | 20% | 22 Aug → | ||
| 6–13 | -0.06 | 8% | 22 Aug → | ||
| 9–3 | 0.01 | 10% | 22 Aug → | ||
| 13–7 | -0.02 | 13% | 22 Aug → | ||
| 13–10 | 0.03 | 21% | 22 Aug → | ||
| 16–14 | -0.01 | 9% | 21 Aug → | ||
| 4–13 | -0.13 | 0% | 21 Aug → | ||
| 2–13 | -0.08 | 17% | 21 Aug → | ||
| 10–13 | 0.04 | 11% | 21 Aug → | ||
| 13–4 | 0.20 | 11% | 19 Aug → | ||
| 13–11 | 0.01 | 8% | 19 Aug → | ||
| 9–13 | 0.05 | 19% | 19 Aug → | ||
| 8–13 | 0.02 | 9% | 19 Aug → | ||
| 13–10 | 0.00 | 18% | 18 Aug → | ||
| 13–16 | 0.04 | 21% | 18 Aug → | ||
| 13–10 | 0.10 | 13% | 18 Aug → | ||
| 14–16 | 0.07 | 16% | 18 Aug → | ||
| 13–9 | -0.00 | 17% | 17 Aug → | ||
| 7–13 | 0.02 | 7% | 17 Aug → | ||
| 13–4 | -0.00 | 20% | 17 Aug → | ||
| 13–10 | 0.01 | 31% | 17 Aug → | ||
| 13–6 | 0.05 | 6% | 17 Aug → | ||
| 7–13 | -0.04 | 9% | 17 Aug → | ||
| 5–3 | 0.03 | 6% | 17 Aug → | ||
| 16–13 | 0.10 | 3% | 16 Aug → | ||
| 13–11 | 0.09 | 18% | 16 Aug → | ||
| 13–11 | 0.06 | 6% | 16 Aug → | ||
| 9–13 | 0.06 | 15% | 16 Aug → | ||
| 11–13 | 0.06 | 21% | 16 Aug → | ||
| 13–11 | 0.06 | 13% | 16 Aug → | ||
| 9–13 | 0.01 | 13% | 16 Aug → | ||
| 13–9 | 0.06 | 23% | 16 Aug → | ||
| 13–4 | 0.11 | 9% | 16 Aug → | ||
| 10–13 | 0.08 | 10% | 16 Aug → | ||
| 5–13 | -0.07 | 21% | 16 Aug → | ||
| 16–12 | 0.05 | 7% | 16 Aug → | ||
| 1–13 | 0.03 | 8% | 16 Aug → | ||
| 13–8 | 0.05 | 10% | 16 Aug → | ||
| 13–11 | -0.01 | 14% | 16 Aug → | ||
| 10–13 | 0.14 | 22% | 15 Aug → | ||
| 10–13 | 0.01 | 14% | 15 Aug → | ||
| 13–9 | 0.04 | 23% | 15 Aug → | ||
| 13–8 | 0.05 | 27% | 15 Aug → | ||
| 9–13 | -0.02 | 13% | 14 Aug → | ||
| office | 7–13 | 0.08 | 36% | 14 Aug → | |
| 13–3 | 0.11 | 15% | 13 Aug → | ||
| 3–13 | 0.08 | 21% | 13 Aug → | ||
| 13–10 | 0.05 | 13% | 13 Aug → | ||
| 5–13 | 0.04 | 11% | 6 Aug → | ||
| 13–6 | 0.06 | 8% | 28 Jul → | ||
| 13–10 | 0.02 | 11% | 28 Jul → | ||
| 10–13 | 0.06 | 19% | 12 Jul → | ||
| office | 12–12 | 0.17 | 29% | 12 Jul → | |
| 13–11 | 0.05 | 9% | 12 Jul → | ||
| 13–7 | 0.08 | 10% | 10 Jul → | ||
| 6–13 | 0.07 | 33% | 9 Jul → | ||
| office | 13–4 | 0.07 | 45% | 9 Jul → | |
| 3–9 | -0.20 | 11% | 4 Jul → | ||
| 14–16 | 0.08 | 9% | 1 Jul → | ||
| 13–8 | 0.06 | 19% | 1 Jul → | ||
| 13–10 | 0.01 | 16% | 1 Jul → | ||
| 6–13 | -0.03 | 23% | 1 Jul → | ||
| 11–2 | 0.08 | 5% | 1 Jul → | ||
| 13–10 | 0.02 | 24% | 30 Jun → | ||
| 13–11 | 0.05 | 20% | 30 Jun → | ||
| 2–10 | -0.02 | 40% | 28 Jun → | ||
| 13–6 | 0.06 | 13% | 28 Jun → | ||
| 6–13 | 0.05 | 10% | 25 Jun → | ||
| office | 13–10 | 0.04 | 20% | 23 Jun → | |
| 13–7 | 0.13 | 13% | 23 Jun → | ||
| 7–13 | -0.03 | 14% | 28 May → | ||
| 4–13 | -0.01 | 15% | 20 May → | ||
| 14–16 | 0.00 | 10% | 20 May → | ||
| 5–13 | -0.05 | 17% | 5 May → | ||
| 4–13 | -0.05 | 21% | 30 Apr → | ||
| 12–12 | 0.01 | 29% | 30 Apr → | ||
| 9–13 | 0.00 | 5% | 30 Apr → | ||
| 13–8 | -0.01 | 23% | 29 Apr → | ||
| 12–12 | -0.03 | 20% | 29 Apr → | ||
| 13–6 | 0.06 | 47% | 29 Apr → | ||
| 13–8 | 0.00 | 31% | 29 Apr → | ||
| 7–13 | 0.01 | 33% | 29 Apr → | ||
| 10–13 | 0.11 | 22% | 29 Apr → | ||
| 13–11 | -0.00 | 16% | 28 Apr → | ||
| 0–5 | -0.07 | 0% | 28 Apr → | ||
| office | 8–13 | 0.05 | 18% | 28 Apr → |
Match data via Leetify.