suicidalbunny — CS2 Stats
76561199003668934[U:1:1043403206]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 NiKo 88% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; 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.
T-side openings. Opening success drops from 48% on CT to 21% 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 5.0/10 (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 | 25 | 15–10 | 60% | 0.03 | |
| B | 24 | 11–13 | 46% | 0.01 | |
| C | 22 | 9–13 | 41% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| D | 10 | 2–8 | 20% | -0.04 | |
| — | 4 | 1–3 | 25% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.00 | |
| — | 1 | 1–0 | 100% | 0.13 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 237 | 55% | 1.32 | 18.8 |
| Nuke | 214 | 59% | 1.34 | 19.0 |
| Mirage | 184 | 40% | 1.12 | 17.5 |
| Inferno | 137 | 47% | 1.10 | 16.4 |
| Anubis | 124 | 55% | 1.30 | 18.4 |
| Overpass | 105 | 49% | 1.21 | 18.3 |
| Vertigo | 85 | 54% | 1.38 | 19.8 |
| Dust2 | 43 | 37% | 1.06 | 17.4 |
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 0.4343 — 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 21.1313% — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.08 | 25% | 24 Aug → | ||
| 13–6 | 0.08 | 24% | 24 Aug → | ||
| 9–13 | -0.04 | 15% | 6 Aug → | ||
| 13–8 | 0.02 | 20% | 18 Jul → | ||
| 13–7 | 0.08 | 46% | 18 Jul → | ||
| 13–2 | -0.02 | 10% | 5 Jul → | ||
| 13–2 | 0.15 | 24% | 29 Jun → | ||
| 9–13 | -0.03 | 26% | 24 Jun → | ||
| 7–13 | 0.00 | 16% | 14 Jun → | ||
| 13–3 | 0.01 | 21% | 9 Jun → | ||
| 9–13 | -0.08 | 23% | 5 Jun → | ||
| 5–9 | 0.08 | 32% | 5 Jun → | ||
| 4–13 | -0.04 | 13% | 30 May → | ||
| 9–13 | -0.04 | 17% | 30 May → | ||
| 13–1 | -0.04 | 16% | 28 May → | ||
| 13–7 | 0.05 | 20% | 28 May → | ||
| 6–13 | -0.05 | 25% | 28 May → | ||
| 9–13 | 0.03 | 23% | 23 May → | ||
| 13–8 | -0.08 | 19% | 21 May → | ||
| 13–5 | 0.06 | 25% | 20 May → | ||
| 11–13 | -0.04 | 16% | 18 May → | ||
| 13–16 | 0.00 | 32% | 18 May → | ||
| 11–13 | -0.07 | 18% | 16 May → | ||
| 11–13 | -0.04 | 21% | 15 May → | ||
| 5–13 | -0.04 | 25% | 13 May → | ||
| 9–13 | -0.01 | 27% | 13 May → | ||
| 7–13 | -0.04 | 34% | 13 May → | ||
| 4–13 | -0.01 | 9% | 13 May → | ||
| 7–13 | -0.07 | 19% | 6 May → | ||
| 7–13 | -0.01 | 10% | 6 May → | ||
| 9–13 | -0.02 | 30% | 6 May → | ||
| 13–5 | 0.03 | 14% | 6 May → | ||
| 7–13 | 0.03 | 17% | 6 May → | ||
| 6–13 | -0.00 | 21% | 5 May → | ||
| 13–10 | 0.13 | 22% | 5 May → | ||
| 10–13 | -0.02 | 23% | 5 May → | ||
| 8–13 | -0.01 | 23% | 4 May → | ||
| 5–13 | 0.01 | 24% | 3 May → | ||
| 13–8 | 0.04 | 21% | 3 May → | ||
| 13–11 | 0.02 | 33% | 3 May → | ||
| 22–18 | -0.00 | 9% | 3 May → | ||
| 4–13 | 0.01 | 18% | 3 May → | ||
| 13–6 | 0.00 | 44% | 1 May → | ||
| 9–13 | 0.01 | 18% | 1 May → | ||
| 16–13 | 0.04 | 30% | 1 May → | ||
| 11–13 | -0.02 | 21% | 1 May → | ||
| 13–9 | 0.06 | 21% | 1 May → | ||
| 8–13 | -0.02 | 16% | 30 Apr → | ||
| 13–9 | 0.00 | 14% | 30 Apr → | ||
| 22–20 | -0.02 | 18% | 30 Apr → | ||
| 13–10 | -0.03 | 32% | 30 Apr → | ||
| 13–8 | 0.06 | 33% | 30 Apr → | ||
| 13–10 | 0.08 | 17% | 29 Apr → | ||
| 13–11 | 0.03 | 14% | 28 Apr → | ||
| 5–13 | -0.04 | 36% | 28 Apr → | ||
| 16–13 | 0.02 | 16% | 28 Apr → | ||
| 10–13 | -0.05 | 33% | 27 Apr → | ||
| 11–13 | -0.01 | 14% | 26 Apr → | ||
| 13–5 | 0.12 | 17% | 26 Apr → | ||
| 9–13 | -0.03 | 32% | 26 Apr → | ||
| 13–5 | 0.02 | 20% | 26 Apr → | ||
| 13–10 | -0.02 | 21% | 26 Apr → | ||
| 13–8 | 0.01 | 24% | 26 Apr → | ||
| 11–13 | -0.03 | 24% | 25 Apr → | ||
| 3–13 | -0.03 | 16% | 25 Apr → | ||
| 10–13 | 0.02 | 14% | 25 Apr → | ||
| 13–7 | 0.05 | 13% | 25 Apr → | ||
| 7–13 | -0.02 | 10% | 24 Apr → | ||
| 13–4 | -0.01 | 23% | 24 Apr → | ||
| 10–13 | 0.01 | 20% | 24 Apr → | ||
| 3–13 | -0.05 | 14% | 24 Apr → | ||
| 3–13 | -0.02 | 23% | 24 Apr → | ||
| 2–13 | -0.02 | 25% | 23 Apr → | ||
| 13–11 | -0.00 | 27% | 23 Apr → | ||
| 7–13 | 0.01 | 22% | 23 Apr → | ||
| 7–13 | 0.00 | 22% | 23 Apr → | ||
| 8–13 | -0.09 | 21% | 23 Apr → | ||
| 17–19 | 0.03 | 6% | 23 Apr → | ||
| 15–19 | 0.01 | 18% | 23 Apr → | ||
| 10–13 | 0.00 | 26% | 23 Apr → | ||
| 13–6 | 0.08 | 25% | 23 Apr → | ||
| 19–15 | 0.10 | 20% | 22 Apr → | ||
| 5–13 | -0.05 | 16% | 22 Apr → | ||
| 13–3 | 0.13 | 21% | 22 Apr → | ||
| 13–11 | 0.02 | 16% | 21 Apr → | ||
| 13–10 | 0.04 | 29% | 21 Apr → | ||
| 10–13 | 0.06 | 31% | 21 Apr → | ||
| 13–5 | 0.02 | 24% | 21 Apr → | ||
| 13–8 | 0.06 | 11% | 20 Apr → | ||
| 13–8 | 0.01 | 19% | 15 Apr → | ||
| 13–9 | -0.02 | 7% | 15 Apr → | ||
| 13–8 | 0.13 | 28% | 15 Apr → | ||
| 8–13 | 0.08 | 20% | 15 Apr → | ||
| 13–4 | 0.06 | 36% | 15 Apr → | ||
| 13–9 | 0.08 | 18% | 15 Apr → | ||
| 13–4 | 0.13 | 19% | 13 Apr → | ||
| 13–6 | 0.02 | 41% | 10 Apr → | ||
| 13–9 | 0.03 | 25% | 10 Apr → | ||
| 13–9 | 0.02 | 18% | 10 Apr → | ||
| 9–13 | 0.06 | 18% | 10 Apr → |
Match data via Leetify.