【 - Æv - 】 — CS2 Stats
76561198261663330[U:1:301397602]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective 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 iM 93% playstyle similarity
Most alike: opening-fight frequency, 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
Reaction time. 582ms 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 6.1/10 (Solid), 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 | 30 | 14–16 | 47% | 0.02 | |
| B | 20 | 9–11 | 45% | 0.02 | |
| B | 17 | 9–8 | 53% | 0.02 | |
| A | 14 | 9–5 | 64% | 0.04 | |
| A | 14 | 8–6 | 57% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (45% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 46 | 61% | 1.25 | 19.4 |
| Dust2 | 42 | 50% | 1.17 | 17.4 |
| Ancient | 27 | 59% | 1.11 | 16.7 |
| Inferno | 22 | 45% | 1.24 | 16.3 |
| Anubis | 10 | 20% | 1.07 | 17.3 |
| Nuke | 9 | 67% | 1.61 | 20.8 |
| Train | 3 | 67% | 0.99 | 17.7 |
| Overpass | 3 | 33% | 1.14 | 17.7 |
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.
- 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 39.4785% — 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.
45% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.01 | 25% | 11 Aug → | ||
| 13–6 | 0.00 | 21% | 11 Aug → | ||
| 13–8 | 0.08 | 18% | 10 Aug → | ||
| 6–13 | 0.06 | 21% | 9 Jul → | ||
| 2–13 | -0.04 | 41% | 9 Jul → | ||
| 13–1 | 0.10 | 17% | 4 Jul → | ||
| 5–13 | -0.03 | 29% | 4 Jul → | ||
| 6–13 | -0.00 | 18% | 4 Jul → | ||
| 13–2 | 0.12 | 36% | 4 Jul → | ||
| 13–1 | 0.18 | 20% | 3 Jul → | ||
| 4–13 | -0.02 | 22% | 1 Jul → | ||
| 15–15 | 0.08 | 30% | 30 Jun → | ||
| 13–8 | -0.03 | 24% | 30 Jun → | ||
| 15–15 | 0.01 | 14% | 30 Jun → | ||
| 13–6 | 0.07 | 20% | 30 Jun → | ||
| 3–13 | -0.04 | 15% | 30 Jun → | ||
| 1–13 | -0.01 | 13% | 30 Jun → | ||
| 13–7 | 0.08 | 22% | 18 Mar → | ||
| 8–13 | -0.00 | 11% | 8 Mar → | ||
| 9–13 | -0.01 | 30% | 8 Mar → | ||
| 3–13 | -0.11 | 30% | 8 Mar → | ||
| 13–2 | 0.08 | 26% | 7 Mar → | ||
| 9–13 | 0.11 | 23% | 7 Mar → | ||
| 13–8 | 0.03 | 26% | 7 Mar → | ||
| 13–9 | 0.01 | 21% | 7 Mar → | ||
| 10–13 | -0.00 | 34% | 7 Mar → | ||
| 1–2 | 0.27 | 42% | 7 Mar → | ||
| 16–12 | -0.02 | 20% | 7 Mar → | ||
| 5–13 | -0.06 | 9% | 28 Feb → | ||
| 10–13 | -0.04 | 17% | 28 Feb → | ||
| 9–13 | 0.10 | 19% | 27 Feb → | ||
| 13–7 | 0.11 | 14% | 27 Feb → | ||
| 13–5 | 0.04 | 13% | 27 Feb → | ||
| 10–13 | 0.04 | 25% | 27 Feb → | ||
| 7–13 | -0.01 | 6% | 26 Feb → | ||
| 13–10 | 0.03 | 21% | 25 Feb → | ||
| 0–2 | -0.03 | 0% | 25 Feb → | ||
| 13–6 | 0.08 | 21% | 25 Feb → | ||
| 10–13 | 0.09 | 21% | 25 Feb → | ||
| 13–5 | 0.01 | 28% | 25 Feb → | ||
| 13–10 | 0.00 | 15% | 25 Feb → | ||
| 13–6 | 0.11 | 20% | 23 Feb → | ||
| 15–15 | -0.03 | 12% | 23 Feb → | ||
| 13–5 | 0.03 | 31% | 23 Feb → | ||
| 8–13 | -0.02 | 23% | 23 Feb → | ||
| 10–13 | 0.01 | 24% | 23 Feb → | ||
| 13–11 | -0.02 | 22% | 23 Feb → | ||
| 2–9 | -0.06 | 16% | 23 Feb → | ||
| 13–7 | 0.06 | 22% | 22 Feb → | ||
| 13–5 | 0.08 | 21% | 22 Feb → | ||
| 2–13 | -0.00 | 44% | 22 Feb → | ||
| 9–13 | -0.05 | 8% | 22 Feb → | ||
| 10–13 | 0.00 | 16% | 22 Feb → | ||
| 10–13 | -0.01 | 26% | 21 Feb → | ||
| 13–5 | 0.08 | 43% | 21 Feb → | ||
| 8–13 | -0.06 | 32% | 21 Feb → | ||
| 7–13 | 0.01 | 31% | 21 Feb → | ||
| 13–6 | 0.05 | 18% | 21 Feb → | ||
| 10–13 | -0.01 | 24% | 18 Feb → | ||
| 13–8 | 0.03 | 31% | 18 Feb → | ||
| 10–13 | -0.01 | 35% | 18 Feb → | ||
| 13–7 | 0.11 | 41% | 18 Feb → | ||
| 11–13 | 0.02 | 40% | 18 Feb → | ||
| 13–9 | 0.05 | 26% | 18 Feb → | ||
| 6–13 | 0.03 | 27% | 18 Feb → | ||
| 13–5 | 0.08 | 28% | 17 Feb → | ||
| 13–9 | 0.02 | 29% | 17 Feb → | ||
| 13–6 | 0.03 | 33% | 17 Feb → | ||
| 17–19 | 0.01 | 23% | 17 Feb → | ||
| 7–13 | -0.06 | 30% | 17 Feb → | ||
| 8–13 | 0.07 | 32% | 17 Feb → | ||
| 8–13 | 0.08 | 17% | 17 Feb → | ||
| 13–7 | 0.06 | 22% | 15 Feb → | ||
| 13–5 | 0.14 | 47% | 15 Feb → | ||
| 2–13 | -0.08 | 8% | 15 Feb → | ||
| 13–9 | 0.01 | 15% | 15 Feb → | ||
| 13–10 | -0.04 | 24% | 15 Feb → | ||
| 13–10 | 0.03 | 21% | 15 Feb → | ||
| 13–11 | 0.15 | 27% | 11 Feb → | ||
| 13–6 | 0.01 | 28% | 11 Feb → | ||
| 13–1 | 0.11 | 50% | 11 Feb → | ||
| 13–5 | -0.00 | 26% | 11 Feb → | ||
| 16–13 | 0.02 | 24% | 11 Feb → | ||
| 13–6 | 0.05 | 25% | 11 Feb → | ||
| 13–9 | 0.07 | 22% | 10 Feb → | ||
| 13–3 | 0.01 | 47% | 10 Feb → | ||
| 16–13 | 0.02 | 25% | 10 Feb → | ||
| 13–4 | 0.06 | 17% | 10 Feb → | ||
| 13–10 | 0.05 | 38% | 9 Feb → | ||
| 13–8 | -0.04 | 29% | 9 Feb → | ||
| 9–13 | -0.01 | 29% | 9 Feb → | ||
| 9–13 | -0.05 | 18% | 9 Feb → | ||
| 15–15 | -0.00 | 25% | 9 Feb → | ||
| 11–13 | 0.02 | 29% | 8 Feb → | ||
| 11–13 | 0.07 | 43% | 8 Feb → | ||
| 9–13 | -0.03 | 16% | 8 Feb → | ||
| 2–13 | -0.00 | 29% | 7 Feb → | ||
| 10–13 | 0.05 | 19% | 7 Feb → | ||
| 13–7 | 0.06 | 39% | 5 Feb → | ||
| 13–6 | 0.03 | 20% | 5 Feb → |
Match data via Leetify.