Big Bamboo — CS2 Stats
76561198853865377[U:1:893599649]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 85% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim profile; lower opening-duel success.
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. 639ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| B | 39 | 20–19 | 51% | -0.01 | |
| S | 15 | 10–5 | 67% | 0.01 | |
| A | 14 | 9–5 | 64% | -0.02 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| A | 11 | 6–5 | 55% | 0.00 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| — | 3 | 2–1 | 67% | -0.05 | |
| — | 3 | 1–2 | 33% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 46 | 48% | 0.76 | 12.7 |
| Ancient | 21 | 52% | 0.83 | 14.9 |
| Dust2 | 18 | 50% | 0.70 | 11.1 |
| Anubis | 15 | 40% | 0.69 | 12.5 |
| Inferno | 11 | 36% | 0.83 | 14.6 |
| Cache | 6 | 83% | 0.88 | 14.8 |
| Nuke | 5 | 20% | 0.64 | 14.6 |
| Overpass | 5 | 60% | 1.21 | 18.2 |
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 0.4889 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 33.5557% — 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.
33% win rate across 12 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 May → | ||
| 5–13 | -0.04 | 21% | 25 May → | ||
| 13–6 | 0.14 | 16% | 25 May → | ||
| 9–13 | -0.02 | 22% | 18 May → | ||
| 13–8 | 0.03 | 15% | 18 May → | ||
| 6–13 | -0.04 | 29% | 6 May → | ||
| 11–13 | 0.00 | 16% | 5 May → | ||
| 13–3 | -0.02 | 32% | 5 May → | ||
| 3–13 | -0.04 | 16% | 5 May → | ||
| 13–5 | 0.01 | 17% | 4 May → | ||
| 11–13 | 0.03 | 11% | 4 May → | ||
| 13–5 | -0.05 | 16% | 3 May → | ||
| 2–13 | -0.07 | 19% | 3 May → | ||
| 11–13 | -0.04 | 14% | 3 May → | ||
| 13–4 | -0.02 | 11% | 2 May → | ||
| 16–14 | -0.03 | 17% | 2 May → | ||
| 13–8 | -0.07 | 9% | 2 May → | ||
| 8–13 | -0.05 | 18% | 1 May → | ||
| 7–13 | -0.01 | 30% | 1 May → | ||
| 11–13 | -0.02 | 25% | 1 May → | ||
| 6–13 | -0.01 | 29% | 1 May → | ||
| 13–6 | 0.04 | 18% | 1 May → | ||
| 13–6 | 0.07 | 21% | 1 May → | ||
| 13–4 | 0.06 | 23% | 1 May → | ||
| 11–13 | -0.06 | 15% | 29 Apr → | ||
| 13–9 | -0.03 | 21% | 29 Apr → | ||
| 16–13 | 0.02 | 22% | 29 Apr → | ||
| 13–10 | 0.11 | 22% | 29 Apr → | ||
| 13–8 | -0.00 | 25% | 29 Apr → | ||
| 8–13 | -0.04 | 24% | 28 Apr → | ||
| 13–11 | 0.01 | 20% | 28 Apr → | ||
| 13–9 | -0.01 | 28% | 28 Apr → | ||
| 13–9 | 0.00 | 18% | 28 Apr → | ||
| 5–13 | -0.06 | 15% | 26 Apr → | ||
| 16–13 | -0.03 | 21% | 26 Apr → | ||
| 19–17 | -0.02 | 19% | 25 Apr → | ||
| 9–13 | -0.00 | 20% | 25 Apr → | ||
| 7–13 | -0.05 | 22% | 25 Apr → | ||
| 5–13 | -0.11 | 13% | 25 Apr → | ||
| 13–5 | 0.05 | 23% | 25 Apr → | ||
| 13–9 | -0.01 | 14% | 25 Apr → | ||
| 13–4 | -0.08 | 14% | 25 Apr → | ||
| 14–16 | -0.04 | 29% | 24 Apr → | ||
| 13–3 | -0.04 | 26% | 23 Apr → | ||
| 13–8 | -0.02 | 22% | 23 Apr → | ||
| 13–9 | 0.00 | 18% | 23 Apr → | ||
| 6–13 | -0.04 | 22% | 23 Apr → | ||
| 17–19 | -0.02 | 18% | 23 Apr → | ||
| 13–10 | -0.02 | 23% | 23 Apr → | ||
| 13–10 | 0.02 | 31% | 23 Apr → | ||
| 13–6 | -0.06 | 15% | 22 Apr → | ||
| 13–10 | -0.01 | 15% | 22 Apr → | ||
| 13–7 | 0.04 | 23% | 22 Apr → | ||
| 7–13 | -0.02 | 26% | 22 Apr → | ||
| 4–13 | -0.04 | 19% | 21 Apr → | ||
| 6–13 | -0.04 | 9% | 16 Apr → | ||
| 10–13 | -0.04 | 19% | 16 Apr → | ||
| 13–9 | -0.00 | 25% | 16 Apr → | ||
| 13–10 | -0.06 | 14% | 16 Apr → | ||
| 9–13 | -0.07 | 9% | 15 Apr → | ||
| 13–9 | -0.03 | 33% | 15 Apr → | ||
| 9–13 | -0.04 | 28% | 15 Apr → | ||
| 10–13 | 0.02 | 14% | 14 Apr → | ||
| 16–12 | 0.07 | 25% | 14 Apr → | ||
| 13–7 | 0.10 | 29% | 14 Apr → | ||
| 16–13 | -0.04 | 12% | 13 Apr → | ||
| 16–12 | 0.07 | 21% | 13 Apr → | ||
| 4–13 | -0.05 | 38% | 12 Apr → | ||
| 9–13 | 0.02 | 34% | 12 Apr → | ||
| 3–13 | -0.09 | 20% | 12 Apr → | ||
| 13–4 | 0.03 | 31% | 12 Apr → | ||
| 13–5 | 0.02 | 25% | 12 Apr → | ||
| 13–11 | 0.06 | 30% | 12 Apr → | ||
| 13–2 | 0.00 | 15% | 12 Apr → | ||
| 3–13 | -0.00 | 30% | 12 Apr → | ||
| 9–13 | 0.04 | 17% | 12 Apr → | ||
| 16–14 | -0.06 | 28% | 12 Apr → | ||
| 13–11 | -0.03 | 18% | 12 Apr → | ||
| 6–13 | -0.03 | 24% | 12 Apr → | ||
| 11–13 | -0.02 | 17% | 11 Apr → | ||
| 13–5 | -0.02 | 26% | 10 Apr → | ||
| 13–8 | -0.08 | 21% | 9 Apr → | ||
| 13–11 | 0.16 | 27% | 9 Apr → | ||
| 11–13 | 0.05 | 23% | 9 Apr → | ||
| 13–7 | 0.08 | 43% | 9 Apr → | ||
| 10–13 | 0.06 | 17% | 7 Apr → | ||
| 8–13 | -0.04 | 20% | 7 Apr → | ||
| 8–13 | -0.03 | 12% | 7 Apr → | ||
| 13–9 | -0.03 | 17% | 7 Apr → | ||
| 13–10 | 0.10 | 25% | 7 Apr → | ||
| 14–16 | -0.06 | 18% | 6 Apr → | ||
| 9–13 | -0.07 | 30% | 4 Apr → | ||
| 13–5 | -0.02 | 18% | 4 Apr → | ||
| 7–13 | -0.02 | 19% | 4 Apr → | ||
| 13–7 | -0.03 | 15% | 4 Apr → | ||
| 6–13 | -0.06 | 19% | 4 Apr → | ||
| 13–11 | 0.14 | 28% | 4 Apr → | ||
| 5–13 | -0.03 | 23% | 4 Apr → | ||
| 14–16 | 0.03 | 23% | 3 Apr → | ||
| 8–13 | 0.00 | 17% | 3 Apr → |
Match data via Leetify.