BIG E Z — CS2 Stats
76561199481456386[U:1:1521190658]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingLimited 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 NiKo 91% playstyle similarity
Most alike: opening-fight frequency, 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
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. 603ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
| D | 18 | 3–15 | 17% | -0.02 | |
| C | 16 | 6–10 | 38% | 0.02 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| B | 11 | 5–6 | 45% | 0.02 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| italy | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (17% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 59 | 51% | 0.99 | 15.9 |
| Dust2 | 50 | 40% | 0.99 | 16.1 |
| Inferno | 29 | 34% | 1.17 | 15.1 |
| Ancient | 28 | 50% | 1.30 | 19.1 |
| Nuke | 19 | 53% | 1.48 | 18.9 |
| Anubis | 17 | 65% | 1.08 | 17.1 |
| Train | 11 | 64% | 1.31 | 16.6 |
| Overpass | 7 | 57% | 1.36 | 19.0 |
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 14.3142% — 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 0.4572 — 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 32.7418% — 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.
17% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.06 | 12% | 28 Aug → | ||
| 12–12 | 0.13 | 20% | 28 Aug → | ||
| 1–11 | -0.08 | 25% | 27 Aug → | ||
| 13–5 | -0.05 | 8% | 27 Aug → | ||
| 13–10 | -0.05 | 6% | 27 Aug → | ||
| 5–13 | 0.05 | 20% | 27 Aug → | ||
| 12–12 | -0.04 | 12% | 26 Aug → | ||
| 8–13 | -0.00 | 22% | 26 Aug → | ||
| 13–10 | -0.02 | 12% | 26 Aug → | ||
| 9–13 | 0.08 | 19% | 26 Aug → | ||
| 13–5 | -0.02 | 13% | 26 Aug → | ||
| 7–13 | -0.04 | 18% | 26 Aug → | ||
| 1–9 | 0.04 | 21% | 25 Aug → | ||
| 10–13 | -0.04 | 25% | 25 Aug → | ||
| 7–13 | -0.04 | 13% | 25 Aug → | ||
| 13–5 | 0.09 | 17% | 25 Aug → | ||
| 8–13 | 0.00 | 12% | 25 Aug → | ||
| 13–11 | 0.02 | 10% | 25 Aug → | ||
| 5–13 | -0.06 | 8% | 25 Aug → | ||
| 10–13 | -0.03 | 14% | 25 Aug → | ||
| 6–13 | 0.04 | 10% | 25 Aug → | ||
| 13–6 | 0.04 | 14% | 25 Aug → | ||
| 13–11 | 0.03 | 18% | 25 Aug → | ||
| 13–6 | 0.11 | 13% | 24 Aug → | ||
| 8–1 | 0.16 | 14% | 24 Aug → | ||
| 5–13 | -0.01 | 4% | 24 Aug → | ||
| 13–1 | 0.01 | 17% | 24 Aug → | ||
| 6–13 | -0.07 | 21% | 24 Aug → | ||
| 12–12 | -0.04 | 4% | 24 Aug → | ||
| 12–12 | 0.01 | 17% | 24 Aug → | ||
| 4–13 | -0.06 | 27% | 24 Aug → | ||
| 7–13 | 0.01 | 25% | 24 Aug → | ||
| 13–5 | 0.05 | 8% | 24 Aug → | ||
| 12–12 | -0.02 | 18% | 24 Aug → | ||
| 4–13 | -0.10 | 17% | 21 Aug → | ||
| 13–7 | 0.06 | 18% | 21 Aug → | ||
| 6–13 | -0.02 | 34% | 21 Aug → | ||
| 16–13 | -0.08 | 5% | 21 Aug → | ||
| 13–4 | -0.01 | 24% | 21 Aug → | ||
| 13–11 | -0.01 | 14% | 21 Aug → | ||
| 12–6 | -0.07 | 15% | 20 Aug → | ||
| 2–7 | -0.04 | 5% | 20 Aug → | ||
| 13–11 | 0.07 | 18% | 20 Aug → | ||
| 9–13 | 0.03 | 24% | 20 Aug → | ||
| 9–13 | 0.06 | 18% | 20 Aug → | ||
| 5–13 | 0.00 | 12% | 19 Aug → | ||
| 13–9 | 0.11 | 18% | 19 Aug → | ||
| 0–13 | -0.07 | 22% | 19 Aug → | ||
| 4–13 | -0.03 | 42% | 19 Aug → | ||
| 12–12 | -0.02 | 48% | 19 Aug → | ||
| 9–13 | -0.04 | 14% | 19 Aug → | ||
| 13–8 | 0.10 | 23% | 19 Aug → | ||
| 16–14 | -0.02 | 10% | 18 Aug → | ||
| 13–9 | 0.03 | 24% | 18 Aug → | ||
| 5–13 | 0.05 | 25% | 18 Aug → | ||
| 4–13 | 0.01 | 41% | 18 Aug → | ||
| 13–2 | 0.02 | 16% | 18 Aug → | ||
| 9–13 | -0.01 | 20% | 18 Aug → | ||
| 8–2 | 0.10 | 21% | 18 Aug → | ||
| 12–12 | 0.01 | 14% | 18 Aug → | ||
| 10–13 | -0.05 | 15% | 18 Aug → | ||
| 13–9 | -0.00 | 6% | 18 Aug → | ||
| 8–13 | -0.09 | 0% | 18 Aug → | ||
| 13–9 | 0.06 | 27% | 18 Aug → | ||
| 9–13 | 0.12 | 17% | 17 Aug → | ||
| 13–11 | -0.02 | 16% | 17 Aug → | ||
| 5–13 | 0.03 | 18% | 17 Aug → | ||
| 10–5 | 0.10 | 28% | 17 Aug → | ||
| 11–13 | -0.05 | 13% | 17 Aug → | ||
| 8–13 | 0.05 | 21% | 17 Aug → | ||
| 11–13 | -0.03 | 13% | 16 Aug → | ||
| 13–9 | -0.03 | 13% | 15 Aug → | ||
| 12–12 | -0.03 | 14% | 15 Aug → | ||
| 13–9 | 0.13 | 15% | 14 Aug → | ||
| 10–13 | 0.02 | 13% | 14 Aug → | ||
| 13–8 | 0.06 | 28% | 14 Aug → | ||
| 13–7 | 0.06 | 19% | 14 Aug → | ||
| 12–12 | -0.00 | 19% | 14 Aug → | ||
| 9–13 | -0.02 | 16% | 14 Aug → | ||
| 7–13 | 0.06 | 33% | 14 Aug → | ||
| 2–13 | -0.05 | 14% | 14 Aug → | ||
| 13–9 | 0.12 | 23% | 14 Aug → | ||
| 13–10 | 0.04 | 23% | 14 Aug → | ||
| 13–1 | 0.01 | 23% | 13 Aug → | ||
| 13–10 | 0.01 | 25% | 13 Aug → | ||
| 13–11 | -0.03 | 15% | 13 Aug → | ||
| 13–6 | 0.00 | 16% | 13 Aug → | ||
| 3–13 | -0.05 | 36% | 13 Aug → | ||
| 13–3 | 0.08 | 10% | 13 Aug → | ||
| 8–13 | 0.03 | 15% | 13 Aug → | ||
| 13–4 | -0.00 | 13% | 13 Aug → | ||
| 9–13 | -0.04 | 15% | 13 Aug → | ||
| 3–13 | -0.03 | 25% | 13 Aug → | ||
| 13–5 | 0.05 | 18% | 12 Aug → | ||
| 11–13 | 0.00 | 23% | 12 Aug → | ||
| italy | 10–13 | -0.09 | 3% | 12 Aug → | |
| 13–7 | -0.01 | 18% | 11 Aug → | ||
| 12–12 | -0.02 | 17% | 11 Aug → | ||
| 7–13 | 0.02 | 24% | 11 Aug → | ||
| 9–13 | -0.01 | 27% | 11 Aug → |
Match data via Leetify.