Evancaw — CS2 Stats
76561198092381756[U:1:132116028]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 60.4% | 52.8% |
| Shot accuracy | 12.2% | 13.7% |
| Kill/death ratio | 1.18 | 1.08 |
| Match win rate | 49.2% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 jL 95% playstyle similarity
Most alike: aim profile, opening-duel success.
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 93 — the mechanical foundation is a clear strength.
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 54% on CT to 37% 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 7.1/10 (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 | 27 | 18–9 | 67% | 0.02 | |
| S | 26 | 19–7 | 73% | 0.02 | |
| B | 15 | 7–8 | 47% | 0.01 | |
| D | 8 | 2–6 | 25% | 0.01 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| S | 6 | 4–2 | 67% | -0.00 | |
| — | 4 | 1–3 | 25% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.01 | |
| — | 3 | 1–2 | 33% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (25% over 8). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1327 | 55% | 1.34 | 18.4 |
| Ancient | 721 | 54% | 1.31 | 17.9 |
| Anubis | 570 | 54% | 1.27 | 17.3 |
| Dust2 | 530 | 56% | 1.29 | 17.5 |
| Vertigo | 177 | 54% | 1.31 | 18.3 |
| Inferno | 176 | 59% | 1.21 | 16.4 |
| Nuke | 153 | 56% | 1.22 | 17.1 |
| Overpass | 117 | 59% | 1.18 | 16.5 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4689 — below the 0.5 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 37.0849% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.12 | 31% | 28 Aug → | ||
| 7–13 | -0.04 | 20% | 27 Aug → | ||
| 9–13 | -0.00 | 24% | 27 Aug → | ||
| 13–7 | 0.09 | 32% | 26 Aug → | ||
| 13–3 | 0.04 | 38% | 26 Aug → | ||
| 16–14 | -0.01 | 35% | 24 Aug → | ||
| 13–2 | 0.13 | 46% | 22 Aug → | ||
| 13–6 | 0.02 | 25% | 22 Aug → | ||
| 13–8 | -0.01 | 20% | 22 Aug → | ||
| 9–13 | -0.01 | 17% | 21 Aug → | ||
| 9–13 | 0.05 | 21% | 21 Aug → | ||
| 9–13 | -0.01 | 32% | 16 Aug → | ||
| 8–13 | 0.06 | 29% | 12 Aug → | ||
| 13–2 | 0.07 | 32% | 11 Aug → | ||
| 9–13 | -0.01 | 24% | 8 Aug → | ||
| 13–5 | -0.01 | 19% | 8 Aug → | ||
| 13–1 | 0.04 | 31% | 5 Aug → | ||
| 7–13 | 0.10 | 42% | 5 Aug → | ||
| 16–14 | 0.01 | 17% | 5 Aug → | ||
| 16–14 | 0.04 | 19% | 4 Aug → | ||
| 10–13 | 0.02 | 41% | 3 Aug → | ||
| 6–13 | -0.08 | 19% | 3 Aug → | ||
| 14–16 | 0.08 | 29% | 3 Aug → | ||
| 1–13 | -0.02 | 39% | 2 Aug → | ||
| 5–13 | -0.01 | 13% | 2 Aug → | ||
| 4–13 | 0.07 | 40% | 2 Aug → | ||
| 16–13 | -0.00 | 34% | 31 Jul → | ||
| 9–13 | 0.01 | 20% | 20 Apr → | ||
| 10–13 | -0.05 | 20% | 20 Apr → | ||
| 10–13 | 0.01 | 34% | 28 Mar → | ||
| 10–13 | -0.03 | 22% | 28 Mar → | ||
| 13–6 | 0.01 | 15% | 26 Mar → | ||
| 13–2 | 0.07 | 20% | 26 Mar → | ||
| 13–4 | 0.03 | 18% | 24 Mar → | ||
| 7–13 | -0.04 | 14% | 24 Mar → | ||
| 13–3 | -0.02 | 24% | 24 Mar → | ||
| 13–5 | 0.04 | 13% | 21 Mar → | ||
| 13–1 | 0.03 | 21% | 21 Mar → | ||
| 11–13 | -0.04 | 14% | 15 Mar → | ||
| 10–13 | -0.00 | 18% | 15 Mar → | ||
| 13–8 | 0.06 | 23% | 15 Mar → | ||
| 10–13 | -0.05 | 23% | 9 Mar → | ||
| 13–10 | -0.08 | 8% | 9 Mar → | ||
| 6–13 | -0.01 | 20% | 9 Mar → | ||
| 13–11 | 0.03 | 9% | 4 Mar → | ||
| 13–5 | 0.07 | 34% | 24 Feb → | ||
| 14–16 | -0.01 | 18% | 24 Feb → | ||
| 13–11 | 0.02 | 29% | 22 Feb → | ||
| 13–11 | 0.02 | 35% | 22 Feb → | ||
| 13–8 | 0.00 | 29% | 21 Feb → | ||
| 20–22 | -0.03 | 22% | 19 Feb → | ||
| 13–9 | -0.01 | 26% | 19 Feb → | ||
| 14–16 | -0.02 | 18% | 18 Feb → | ||
| 13–5 | 0.00 | 21% | 17 Feb → | ||
| 13–11 | 0.05 | 38% | 14 Feb → | ||
| 13–0 | 0.01 | 18% | 13 Feb → | ||
| 7–13 | -0.03 | 29% | 13 Feb → | ||
| 8–13 | -0.00 | 40% | 13 Feb → | ||
| 3–13 | 0.01 | 20% | 11 Feb → | ||
| 5–13 | -0.03 | 16% | 11 Feb → | ||
| 13–7 | -0.09 | 20% | 10 Feb → | ||
| 13–11 | -0.03 | 13% | 10 Feb → | ||
| 13–5 | 0.06 | 37% | 10 Feb → | ||
| 13–3 | 0.05 | 23% | 10 Feb → | ||
| 13–1 | 0.03 | 17% | 9 Feb → | ||
| 13–9 | 0.01 | 12% | 9 Feb → | ||
| 13–11 | 0.01 | 25% | 9 Feb → | ||
| 13–11 | 0.06 | 33% | 9 Feb → | ||
| 10–13 | 0.02 | 33% | 7 Feb → | ||
| 13–7 | 0.01 | 22% | 7 Feb → | ||
| 13–7 | -0.07 | 30% | 5 Feb → | ||
| 13–7 | 0.10 | 33% | 5 Feb → | ||
| 3–13 | -0.06 | 35% | 4 Feb → | ||
| 13–6 | 0.06 | 38% | 3 Feb → | ||
| 13–11 | -0.01 | 15% | 3 Feb → | ||
| 13–2 | -0.02 | 21% | 30 Jan → | ||
| 13–9 | 0.10 | 24% | 28 Dec → | ||
| 1–13 | -0.05 | 29% | 22 Dec → | ||
| 13–10 | 0.07 | 29% | 9 Dec → | ||
| 4–13 | 0.02 | 24% | 4 Dec → | ||
| 13–10 | 0.02 | 16% | 23 Nov → | ||
| 16–13 | 0.06 | 22% | 14 Nov → | ||
| 13–6 | -0.07 | 23% | 14 Nov → | ||
| 13–5 | 0.05 | 25% | 14 Nov → | ||
| 13–9 | 0.13 | 23% | 14 Nov → | ||
| 13–5 | 0.07 | 10% | 14 Nov → | ||
| 13–2 | 0.09 | 24% | 13 Nov → | ||
| 5–13 | 0.13 | 19% | 13 Nov → | ||
| 5–14 | -0.04 | 25% | 10 Nov → | ||
| 3–6 | 0.04 | 17% | 10 Nov → | ||
| 7–13 | 0.04 | 24% | 5 Nov → | ||
| 7–13 | -0.04 | 19% | 5 Nov → | ||
| 13–11 | -0.03 | 16% | 2 Nov → | ||
| 13–6 | 0.01 | 35% | 2 Nov → | ||
| 8–13 | -0.01 | 24% | 1 Nov → | ||
| 11–13 | -0.05 | 28% | 1 Nov → | ||
| 13–11 | -0.01 | 18% | 28 Oct → | ||
| 13–6 | -0.00 | 18% | 26 Oct → | ||
| 13–0 | 0.03 | 6% | 25 Oct → | ||
| 13–5 | 0.00 | 28% | 25 Oct → |
Match data via Leetify.