carebunny — CS2 Stats
76561197979603399[U:1:19337671]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Limited 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 83% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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.
Reaction time. 637ms 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 4.8/10 (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 |
|---|---|---|---|---|---|
| C | 33 | 14–19 | 42% | -0.01 | |
| B | 18 | 9–9 | 50% | -0.00 | |
| A | 18 | 10–8 | 56% | 0.02 | |
| S | 16 | 11–5 | 69% | -0.01 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| D | 6 | 1–5 | 17% | -0.00 | |
| — | 2 | 0–2 | 0% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 1 | 100% | 0.94 | 29.0 |
| Nuke | 1 | 100% | 0.89 | 17.0 |
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 0.389 — 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 33.2497% — 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.01 | 16% | 22 Aug → | ||
| 3–13 | -0.06 | 31% | 22 Aug → | ||
| 10–13 | -0.00 | 20% | 22 Aug → | ||
| 6–13 | -0.04 | 11% | 22 Aug → | ||
| 8–13 | 0.02 | 17% | 22 Aug → | ||
| 13–9 | -0.02 | 19% | 22 Aug → | ||
| 13–11 | -0.01 | 13% | 22 Aug → | ||
| 16–12 | -0.00 | 24% | 22 Aug → | ||
| 13–7 | 0.02 | 17% | 14 Aug → | ||
| 8–13 | 0.02 | 18% | 14 Aug → | ||
| 11–13 | -0.01 | 22% | 14 Aug → | ||
| 11–13 | 0.04 | 16% | 14 Aug → | ||
| 13–16 | -0.06 | 8% | 31 Jul → | ||
| 13–11 | -0.00 | 9% | 31 Jul → | ||
| 15–15 | -0.03 | 24% | 31 Jul → | ||
| 16–12 | 0.02 | 22% | 27 Jun → | ||
| 13–11 | -0.07 | 26% | 27 Jun → | ||
| 13–11 | 0.00 | 25% | 26 Jun → | ||
| 13–7 | -0.01 | 17% | 26 Jun → | ||
| 11–13 | -0.04 | 12% | 26 Jun → | ||
| 10–13 | -0.05 | 7% | 26 Jun → | ||
| 11–13 | -0.03 | 11% | 26 Jun → | ||
| 13–16 | -0.03 | 9% | 26 Jun → | ||
| 15–15 | -0.02 | 27% | 26 Jun → | ||
| 13–6 | 0.03 | 18% | 26 Jun → | ||
| 13–8 | 0.00 | 16% | 26 Jun → | ||
| 6–13 | -0.02 | 21% | 13 Jun → | ||
| 13–11 | 0.00 | 6% | 13 Jun → | ||
| 13–6 | 0.03 | 26% | 13 Jun → | ||
| 10–13 | -0.04 | 12% | 13 Jun → | ||
| 13–11 | 0.02 | 14% | 13 Jun → | ||
| 13–10 | -0.01 | 17% | 12 Jun → | ||
| 14–16 | -0.02 | 12% | 12 Jun → | ||
| 6–13 | -0.05 | 13% | 12 Jun → | ||
| 13–11 | -0.02 | 21% | 12 Jun → | ||
| 13–9 | -0.00 | 29% | 12 Jun → | ||
| 13–5 | 0.03 | 9% | 12 Jun → | ||
| 15–15 | -0.02 | 17% | 6 Jun → | ||
| 3–13 | -0.05 | 34% | 5 Jun → | ||
| 8–13 | -0.02 | 30% | 5 Jun → | ||
| 13–6 | -0.03 | 19% | 23 May → | ||
| 13–5 | 0.08 | 17% | 23 May → | ||
| 13–9 | -0.04 | 18% | 23 May → | ||
| 13–6 | 0.02 | 18% | 23 May → | ||
| 7–13 | 0.03 | 22% | 22 May → | ||
| 5–13 | -0.05 | 18% | 15 May → | ||
| 13–5 | 0.00 | 13% | 15 May → | ||
| 10–13 | -0.03 | 32% | 15 May → | ||
| 10–13 | -0.02 | 19% | 15 May → | ||
| 13–8 | -0.01 | 13% | 15 May → | ||
| 13–7 | -0.01 | 23% | 13 May → | ||
| 6–13 | 0.06 | 25% | 13 May → | ||
| 13–8 | -0.01 | 19% | 13 May → | ||
| 9–13 | -0.01 | 22% | 13 May → | ||
| 13–4 | -0.04 | 22% | 13 May → | ||
| 5–13 | -0.05 | 8% | 13 May → | ||
| 13–11 | 0.02 | 20% | 13 May → | ||
| 13–3 | -0.05 | 26% | 13 May → | ||
| 10–13 | -0.02 | 7% | 13 May → | ||
| 13–8 | 0.03 | 13% | 13 May → | ||
| 13–7 | 0.03 | 16% | 13 May → | ||
| 13–16 | -0.02 | 20% | 13 May → | ||
| 13–10 | 0.06 | 26% | 10 May → | ||
| 13–9 | 0.09 | 14% | 9 May → | ||
| 13–8 | 0.02 | 27% | 9 May → | ||
| 5–13 | 0.04 | 21% | 9 May → | ||
| 13–16 | 0.03 | 24% | 9 May → | ||
| 3–13 | -0.02 | 13% | 9 May → | ||
| 9–13 | -0.03 | 8% | 9 May → | ||
| 13–10 | -0.05 | 18% | 8 May → | ||
| 13–4 | 0.06 | 18% | 8 May → | ||
| 6–13 | 0.01 | 18% | 8 May → | ||
| 13–5 | -0.00 | 15% | 8 May → | ||
| 9–13 | -0.04 | 18% | 8 May → | ||
| 13–0 | -0.02 | 19% | 8 May → | ||
| 11–13 | 0.00 | 29% | 8 May → | ||
| 7–13 | -0.04 | 17% | 8 May → | ||
| 13–9 | 0.04 | 26% | 2 May → | ||
| 15–15 | 0.04 | 22% | 2 May → | ||
| 8–13 | -0.05 | 18% | 2 May → | ||
| 13–9 | 0.05 | 32% | 2 May → | ||
| 6–13 | -0.00 | 13% | 2 May → | ||
| 13–11 | -0.01 | 26% | 2 May → | ||
| 13–7 | 0.06 | 19% | 2 May → | ||
| 16–13 | 0.05 | 15% | 2 May → | ||
| 13–7 | 0.02 | 9% | 2 May → | ||
| 11–13 | 0.02 | 17% | 2 May → | ||
| 13–6 | 0.01 | 16% | 2 May → | ||
| 5–13 | -0.02 | 14% | 1 May → | ||
| 14–16 | 0.05 | 28% | 1 May → | ||
| 13–9 | 0.01 | 18% | 1 May → | ||
| 9–13 | -0.05 | 29% | 1 May → | ||
| 3–13 | -0.04 | 14% | 30 Apr → | ||
| 12–16 | 0.00 | 25% | 30 Apr → | ||
| 13–11 | -0.05 | 25% | 30 Apr → | ||
| 6–13 | -0.03 | 17% | 30 Apr → | ||
| 13–6 | 0.00 | 30% | 30 Apr → | ||
| 13–7 | 0.04 | 27% | 30 Apr → | ||
| 15–15 | -0.05 | 15% | 30 Apr → | ||
| 4–13 | -0.08 | 17% | 30 Apr → |
Match data via Leetify.