habbi — CS2 Stats
BG76561197970596659[U:1:10330931]Steam profile ↗
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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 openerLimited 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 ropz 90% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution; higher opening-fight frequency.
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 86 — the mechanical foundation is a clear strength.
CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 60% on CT to 38% 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 7.2/10 (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 | 42 | 28–14 | 67% | 0.01 | |
| B | 18 | 9–9 | 50% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.06 | |
| S | 6 | 6–0 | 100% | 0.05 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| — | 4 | 4–0 | 100% | 0.02 | |
| — | 4 | 4–0 | 100% | -0.02 | |
| — | 4 | 1–3 | 25% | 0.04 | |
| — | 3 | 2–1 | 67% | -0.04 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| office | — | 1 | 0–1 | 0% | 0.01 |
| warden | — | 1 | 0–1 | 0% | 0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 479 | 51% | 1.19 | 15.9 |
| Anubis | 416 | 53% | 1.11 | 16.0 |
| Mirage | 270 | 52% | 1.10 | 14.1 |
| Ancient | 252 | 55% | 1.14 | 15.3 |
| Inferno | 164 | 56% | 1.27 | 16.7 |
| Nuke | 119 | 54% | 1.10 | 14.9 |
| Overpass | 57 | 60% | 1.22 | 15.7 |
| Train | 54 | 46% | 1.05 | 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 0.4344 — 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 38.4635% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 9–13 | 0.01 | 26% | 14 Aug → | |
| 13–16 | -0.02 | 35% | 11 Aug → | ||
| 13–8 | -0.03 | 28% | 8 Aug → | ||
| 11–13 | -0.04 | 18% | 6 Aug → | ||
| 13–9 | 0.04 | 36% | 6 Aug → | ||
| 13–1 | 0.07 | 13% | 6 Aug → | ||
| 13–5 | 0.03 | 13% | 6 Aug → | ||
| 13–8 | 0.01 | 26% | 5 Aug → | ||
| 13–6 | 0.04 | 19% | 5 Aug → | ||
| 9–13 | -0.01 | 24% | 4 Aug → | ||
| 13–8 | -0.03 | 19% | 30 Jul → | ||
| 13–8 | -0.01 | 15% | 29 Jul → | ||
| 13–1 | 0.06 | 14% | 26 Jul → | ||
| 13–3 | -0.04 | 17% | 26 Jul → | ||
| 13–4 | 0.04 | 20% | 26 Jul → | ||
| 13–7 | 0.07 | 36% | 26 Jul → | ||
| 10–13 | 0.03 | 25% | 25 Jul → | ||
| 7–9 | 0.00 | 14% | 25 Jul → | ||
| 13–8 | -0.02 | 25% | 22 Jul → | ||
| 13–10 | -0.03 | 16% | 22 Jul → | ||
| 13–7 | 0.03 | 10% | 17 Jul → | ||
| 13–10 | -0.03 | 17% | 17 Jul → | ||
| 10–13 | 0.09 | 20% | 17 Jul → | ||
| 13–10 | 0.02 | 20% | 15 Jul → | ||
| 13–7 | 0.03 | 15% | 14 Jul → | ||
| 9–4 | 0.09 | 28% | 14 Jul → | ||
| 9–5 | 0.19 | 37% | 12 Jul → | ||
| 5–13 | 0.08 | 22% | 11 Jul → | ||
| 1–5 | -0.05 | 44% | 5 Jul → | ||
| 13–8 | -0.01 | 23% | 5 Jul → | ||
| 13–16 | 0.09 | 33% | 5 Jul → | ||
| 9–13 | 0.00 | 24% | 5 Jul → | ||
| 8–13 | 0.06 | 26% | 4 Jul → | ||
| 13–6 | 0.09 | 23% | 4 Jul → | ||
| 8–13 | 0.01 | 15% | 4 Jul → | ||
| 13–10 | -0.05 | 13% | 2 Jul → | ||
| 1–13 | -0.06 | 31% | 2 Jul → | ||
| 13–2 | 0.03 | 20% | 2 Jul → | ||
| 12–12 | -0.06 | 21% | 2 Jul → | ||
| 13–5 | 0.03 | 48% | 29 Jun → | ||
| 13–0 | 0.09 | 22% | 29 Jun → | ||
| 13–8 | 0.01 | 16% | 25 Jun → | ||
| 4–9 | 0.06 | 46% | 24 Jun → | ||
| 5–13 | -0.09 | 25% | 23 Jun → | ||
| 2–13 | -0.09 | 22% | 23 Jun → | ||
| 9–13 | 0.01 | 26% | 22 Jun → | ||
| 13–2 | -0.02 | 14% | 22 Jun → | ||
| 2–5 | 0.01 | 32% | 22 Jun → | ||
| 5–9 | 0.05 | 22% | 22 Jun → | ||
| 13–10 | 0.02 | 33% | 22 Jun → | ||
| 13–10 | -0.01 | 17% | 22 Jun → | ||
| 13–11 | 0.01 | 30% | 22 Jun → | ||
| 13–9 | -0.02 | 17% | 21 Jun → | ||
| 13–2 | 0.06 | 35% | 21 Jun → | ||
| 13–8 | 0.03 | 19% | 21 Jun → | ||
| 13–6 | -0.03 | 29% | 21 Jun → | ||
| 12–12 | 0.05 | 32% | 21 Jun → | ||
| 13–6 | -0.02 | 35% | 20 Jun → | ||
| 13–5 | 0.07 | 47% | 20 Jun → | ||
| 13–2 | 0.06 | 20% | 20 Jun → | ||
| warden | 3–13 | 0.10 | 16% | 20 Jun → | |
| 13–2 | 0.13 | 18% | 20 Jun → | ||
| 13–7 | 0.06 | 19% | 18 Jun → | ||
| 13–5 | -0.03 | 18% | 18 Jun → | ||
| 12–12 | -0.00 | 30% | 18 Jun → | ||
| 13–4 | -0.01 | 16% | 17 Jun → | ||
| 13–7 | 0.01 | 16% | 17 Jun → | ||
| 6–8 | 0.05 | 13% | 16 Jun → | ||
| 10–13 | 0.03 | 28% | 16 Jun → | ||
| 13–11 | 0.02 | 31% | 15 Jun → | ||
| 13–0 | 0.05 | 29% | 15 Jun → | ||
| 0–13 | -0.01 | 50% | 15 Jun → | ||
| 13–8 | 0.02 | 13% | 15 Jun → | ||
| 13–3 | 0.05 | 47% | 14 Jun → | ||
| 5–13 | -0.01 | 14% | 14 Jun → | ||
| 13–7 | 0.10 | 18% | 14 Jun → | ||
| 13–4 | 0.04 | 19% | 14 Jun → | ||
| 11–13 | 0.04 | 18% | 13 Jun → | ||
| 4–1 | -0.06 | 75% | 13 Jun → | ||
| 13–1 | 0.05 | 14% | 13 Jun → | ||
| 13–10 | 0.03 | 21% | 12 Jun → | ||
| 13–11 | -0.05 | 18% | 12 Jun → | ||
| 4–13 | -0.02 | 28% | 12 Jun → | ||
| 5–9 | -0.06 | 11% | 12 Jun → | ||
| 13–6 | 0.00 | 16% | 12 Jun → | ||
| 13–1 | 0.04 | 42% | 11 Jun → | ||
| 13–2 | 0.13 | 20% | 11 Jun → | ||
| 0–6 | 0.02 | 36% | 10 Jun → | ||
| 13–3 | -0.01 | 22% | 10 Jun → | ||
| 13–7 | 0.14 | 22% | 10 Jun → | ||
| 13–10 | 0.05 | 26% | 10 Jun → | ||
| 9–13 | 0.02 | 21% | 9 Jun → | ||
| 13–4 | 0.10 | 39% | 9 Jun → | ||
| 8–13 | -0.02 | 20% | 9 Jun → | ||
| 13–6 | 0.00 | 36% | 9 Jun → | ||
| 13–4 | 0.03 | 18% | 8 Jun → | ||
| 13–9 | -0.08 | 7% | 8 Jun → | ||
| 13–2 | -0.03 | 34% | 8 Jun → | ||
| 10–13 | 0.02 | 24% | 7 Jun → | ||
| 13–11 | 0.04 | 13% | 7 Jun → |
Match data via Leetify.