Breezy™ — CS2 Stats
DE76561198193560029[U:1:233294301]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
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 ropz 86% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: lower aim 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
T-side openings. Opening success drops from 55% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 564ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 67 | 40–27 | 60% | 0.01 | |
| C | 8 | 3–5 | 38% | 0.02 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 4 | 1–3 | 25% | -0.00 | |
| — | 3 | 2–1 | 67% | -0.00 | |
| boulder | — | 1 | 0–1 | 0% | -0.06 |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 34 | 53% | 0.93 | 13.6 |
| Vertigo | 30 | 57% | 1.04 | 14.9 |
| Inferno | 29 | 52% | 0.92 | 14.8 |
| Dust2 | 23 | 43% | 0.90 | 12.9 |
| Nuke | 13 | 62% | 1.16 | 16.9 |
| Overpass | 8 | 50% | 0.81 | 13.0 |
| Anubis | 7 | 29% | 0.93 | 16.4 |
| Ancient | 5 | 60% | 0.99 | 16.0 |
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.
- 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 0.3432 — 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 34.602% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.04 | 19% | 26 Aug → | ||
| 7–11 | 0.07 | 17% | 26 Aug → | ||
| 15–15 | -0.00 | 15% | 25 Aug → | ||
| 13–10 | -0.06 | 19% | 23 Aug → | ||
| 13–10 | -0.05 | 14% | 22 Aug → | ||
| 6–13 | -0.08 | 24% | 22 Aug → | ||
| 16–14 | -0.02 | 11% | 19 Aug → | ||
| 13–5 | 0.02 | 13% | 19 Aug → | ||
| 9–13 | -0.00 | 15% | 15 Aug → | ||
| 8–13 | 0.04 | 21% | 13 Aug → | ||
| 8–13 | 0.03 | 0% | 13 Aug → | ||
| 13–8 | 0.07 | 18% | 13 Aug → | ||
| 4–13 | -0.05 | 0% | 8 Aug → | ||
| 13–4 | 0.03 | 33% | 8 Aug → | ||
| 13–8 | 0.02 | 10% | 8 Aug → | ||
| 8–13 | -0.00 | 11% | 8 Aug → | ||
| 11–13 | -0.03 | 9% | 7 Aug → | ||
| 4–13 | 0.00 | 11% | 7 Aug → | ||
| 13–7 | 0.13 | 11% | 7 Aug → | ||
| 13–7 | -0.02 | 24% | 6 Aug → | ||
| 13–6 | 0.06 | 15% | 5 Aug → | ||
| 13–8 | 0.04 | 20% | 4 Aug → | ||
| 13–10 | -0.01 | 21% | 3 Aug → | ||
| 13–4 | -0.02 | 7% | 2 Aug → | ||
| 6–13 | 0.02 | 26% | 2 Aug → | ||
| 13–3 | -0.00 | 27% | 2 Aug → | ||
| 13–10 | -0.04 | 17% | 1 Aug → | ||
| 8–13 | 0.10 | 10% | 1 Aug → | ||
| 13–6 | 0.01 | 14% | 1 Aug → | ||
| 13–10 | 0.00 | 15% | 1 Aug → | ||
| 13–3 | 0.06 | 8% | 1 Aug → | ||
| 13–7 | 0.05 | 5% | 1 Aug → | ||
| 4–13 | -0.11 | 0% | 30 Jul → | ||
| 8–13 | -0.04 | 3% | 29 Jul → | ||
| 4–13 | -0.02 | 25% | 29 Jul → | ||
| 8–13 | -0.04 | 7% | 28 Jul → | ||
| 13–7 | 0.00 | 12% | 28 Jul → | ||
| 13–8 | 0.09 | 7% | 26 Jul → | ||
| 7–13 | -0.03 | 17% | 25 Jul → | ||
| 13–6 | 0.07 | 14% | 25 Jul → | ||
| 13–7 | 0.03 | 20% | 25 Jul → | ||
| 13–7 | -0.02 | 13% | 25 Jul → | ||
| 6–13 | 0.01 | 15% | 25 Jul → | ||
| 13–3 | 0.06 | 15% | 25 Jul → | ||
| 13–4 | 0.10 | 17% | 24 Jul → | ||
| 10–13 | -0.03 | 6% | 24 Jul → | ||
| 13–10 | 0.01 | 17% | 24 Jul → | ||
| 9–13 | 0.01 | 7% | 23 Jul → | ||
| 14–16 | -0.03 | 16% | 23 Jul → | ||
| 12–12 | -0.02 | 11% | 22 Jul → | ||
| 13–4 | 0.08 | 18% | 22 Jul → | ||
| 13–6 | 0.04 | 16% | 21 Jul → | ||
| 13–7 | -0.01 | 11% | 21 Jul → | ||
| 13–3 | 0.10 | 10% | 20 Jul → | ||
| 13–11 | 0.00 | 9% | 20 Jul → | ||
| 13–3 | 0.06 | 12% | 19 Jul → | ||
| 13–8 | -0.02 | 13% | 18 Jul → | ||
| 13–4 | 0.03 | 10% | 18 Jul → | ||
| 13–1 | 0.10 | 16% | 17 Jul → | ||
| 12–12 | 0.01 | 14% | 17 Jul → | ||
| 8–13 | -0.04 | 12% | 17 Jul → | ||
| 13–8 | 0.01 | 18% | 17 Jul → | ||
| 13–9 | 0.09 | 9% | 16 Jul → | ||
| 13–9 | 0.03 | 21% | 12 Jul → | ||
| 9–13 | 0.04 | 23% | 12 Jul → | ||
| 14–16 | 0.01 | 13% | 12 Jul → | ||
| 13–5 | 0.07 | 11% | 12 Jul → | ||
| 13–11 | 0.05 | 12% | 11 Jul → | ||
| 6–13 | -0.04 | 25% | 11 Jul → | ||
| 5–13 | -0.03 | 15% | 11 Jul → | ||
| 13–7 | -0.01 | 19% | 10 Jul → | ||
| boulder | 3–13 | -0.06 | 8% | 9 Jul → | |
| 12–12 | -0.01 | 18% | 9 Jul → | ||
| 14–16 | -0.02 | 17% | 9 Jul → | ||
| 3–13 | -0.12 | 9% | 4 Jul → | ||
| 11–13 | 0.01 | 11% | 2 Jul → | ||
| 13–5 | 0.14 | 13% | 30 Jun → | ||
| 13–1 | -0.01 | 10% | 22 Jun → | ||
| 8–13 | -0.07 | 5% | 22 Jun → | ||
| 6–13 | -0.02 | 13% | 19 Jun → | ||
| 10–13 | -0.03 | 9% | 18 Jun → | ||
| 4–13 | -0.05 | 31% | 13 Jun → | ||
| 13–5 | 0.03 | 21% | 13 Jun → | ||
| 13–3 | -0.02 | 28% | 13 Jun → | ||
| 13–7 | -0.04 | 12% | 5 Jun → | ||
| 13–10 | -0.03 | 15% | 20 May → | ||
| 2–13 | -0.05 | 17% | 16 May → | ||
| 5–13 | -0.04 | 20% | 14 May → | ||
| 13–2 | 0.00 | 13% | 14 May → | ||
| 4–13 | -0.03 | 14% | 13 May → | ||
| 13–11 | -0.03 | 15% | 10 May → | ||
| 13–8 | -0.02 | 31% | 10 May → | ||
| 13–6 | -0.01 | 26% | 10 May → | ||
| 13–7 | -0.01 | 21% | 6 May → | ||
| 6–13 | -0.02 | 12% | 5 May → | ||
| 12–12 | 0.10 | 22% | 4 May → | ||
| 13–11 | -0.02 | 11% | 2 May → | ||
| 13–4 | 0.03 | 19% | 2 May → | ||
| 13–6 | 0.01 | 21% | 1 May → | ||
| 11–13 | 0.00 | 13% | 1 May → |
Match data via Leetify.