bwubah — CS2 Stats
76561198260729578[U:1:300463850]Steam profile ↗
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 30.3% | 40.1% | 41.7% | 11.4% short |
| Shot accuracy | 11.7% | 7.6% | 8.8% | above |
| Kill/death ratio | 0.73 | 0.92 | 0.97 | 0.24 short |
| Match win rate | 42.7% | 42.2% | 43.8% | 1.1% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.00 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 NiKo 76% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
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 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 20 | 8–12 | 40% | -0.01 | |
| D | 20 | 4–16 | 20% | 0.00 | |
| C | 18 | 7–11 | 39% | -0.03 | |
| C | 16 | 7–9 | 44% | -0.03 | |
| D | 14 | 4–10 | 29% | -0.04 | |
| — | 4 | 2–2 | 50% | -0.03 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| — | 2 | 1–1 | 50% | -0.06 | |
| — | 1 | 1–0 | 100% | -0.05 | |
| — | 1 | 0–1 | 0% | -0.13 | |
| office | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 20). Start with the 6 essential Nuke 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 resultsLLLLL
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.8184% — below the 15% 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 26.6386% — 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 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.05 | 0% | 29 Aug → | ||
| 13–8 | -0.01 | 16% | 27 Aug → | ||
| 13–2 | 0.06 | 10% | 27 Aug → | ||
| 13–11 | -0.07 | 8% | 23 Aug → | ||
| 5–13 | -0.05 | 14% | 23 Aug → | ||
| 9–13 | 0.01 | 21% | 22 Aug → | ||
| 13–8 | -0.01 | 6% | 22 Aug → | ||
| 11–13 | 0.07 | 7% | 22 Aug → | ||
| 13–6 | 0.07 | 15% | 22 Aug → | ||
| 7–13 | 0.08 | 7% | 22 Aug → | ||
| 12–12 | -0.00 | 10% | 22 Aug → | ||
| 3–13 | -0.02 | 10% | 22 Aug → | ||
| 11–13 | -0.01 | 7% | 18 Aug → | ||
| 13–5 | 0.09 | 18% | 18 Aug → | ||
| 7–13 | -0.08 | 11% | 14 Aug → | ||
| 10–13 | 0.03 | 15% | 14 Aug → | ||
| 9–13 | 0.08 | 5% | 13 Aug → | ||
| 5–13 | 0.03 | 27% | 13 Aug → | ||
| 9–1 | -0.00 | 13% | 13 Aug → | ||
| 4–13 | -0.04 | 5% | 10 Aug → | ||
| 15–15 | 0.07 | 8% | 10 Aug → | ||
| 6–13 | -0.04 | 10% | 9 Aug → | ||
| 6–13 | -0.01 | 13% | 9 Aug → | ||
| 4–13 | -0.07 | 9% | 9 Aug → | ||
| 6–13 | 0.03 | 18% | 9 Aug → | ||
| 8–13 | -0.04 | 9% | 8 Aug → | ||
| 5–13 | -0.08 | 11% | 8 Aug → | ||
| 13–1 | 0.01 | 6% | 8 Aug → | ||
| 13–7 | -0.01 | 12% | 8 Aug → | ||
| 13–8 | -0.01 | 8% | 8 Aug → | ||
| 13–10 | -0.03 | 4% | 8 Aug → | ||
| 3–13 | -0.08 | 9% | 8 Aug → | ||
| 3–13 | -0.09 | 9% | 8 Aug → | ||
| 13–6 | 0.00 | 3% | 8 Aug → | ||
| 3–13 | -0.09 | 11% | 8 Aug → | ||
| 13–7 | 0.12 | 16% | 8 Aug → | ||
| 13–10 | -0.01 | 4% | 8 Aug → | ||
| 13–9 | 0.02 | 8% | 7 Aug → | ||
| 7–13 | 0.01 | 7% | 7 Aug → | ||
| 6–13 | -0.01 | 20% | 7 Aug → | ||
| 6–13 | -0.05 | 16% | 6 Aug → | ||
| 2–13 | -0.10 | 0% | 2 Aug → | ||
| 13–10 | -0.00 | 24% | 2 Aug → | ||
| 5–13 | -0.11 | 7% | 2 Aug → | ||
| 13–1 | -0.06 | 29% | 2 Aug → | ||
| 11–13 | -0.07 | 9% | 1 Aug → | ||
| 9–13 | -0.04 | 6% | 1 Aug → | ||
| 10–13 | -0.03 | 7% | 1 Aug → | ||
| 2–13 | -0.07 | 6% | 31 Jul → | ||
| 13–8 | -0.05 | 4% | 31 Jul → | ||
| 13–10 | -0.01 | 4% | 26 Jul → | ||
| 4–13 | -0.08 | 5% | 25 Jul → | ||
| 13–4 | -0.07 | 0% | 25 Jul → | ||
| 5–13 | -0.09 | 0% | 24 Jul → | ||
| 5–13 | -0.02 | 3% | 24 Jul → | ||
| 13–10 | -0.09 | 12% | 24 Jul → | ||
| 4–13 | 0.05 | 16% | 23 Jul → | ||
| 6–13 | -0.08 | 6% | 23 Jul → | ||
| 13–7 | 0.01 | 7% | 23 Jul → | ||
| 13–8 | 0.10 | 11% | 19 Jul → | ||
| 12–12 | -0.02 | 17% | 19 Jul → | ||
| 12–12 | -0.02 | 14% | 19 Jul → | ||
| 5–9 | -0.07 | 16% | 18 Jul → | ||
| 2–13 | -0.08 | 6% | 17 Jul → | ||
| 3–13 | -0.13 | 10% | 17 Jul → | ||
| 6–13 | -0.05 | 8% | 16 Jul → | ||
| 0–13 | -0.06 | 12% | 12 Jul → | ||
| 10–13 | -0.04 | 7% | 10 Jul → | ||
| 13–8 | 0.02 | 14% | 10 Jul → | ||
| 10–13 | -0.02 | 10% | 10 Jul → | ||
| 3–13 | 0.02 | 10% | 10 Jul → | ||
| 13–8 | 0.03 | 11% | 9 Jul → | ||
| 13–4 | 0.04 | 19% | 9 Jul → | ||
| 13–3 | 0.13 | 17% | 9 Jul → | ||
| office | 13–3 | -0.02 | 13% | 9 Jul → | |
| 13–10 | -0.02 | 17% | 3 Jul → | ||
| 13–11 | -0.06 | 8% | 30 Jun → | ||
| 3–13 | -0.10 | 16% | 27 Jun → | ||
| 16–13 | -0.05 | 7% | 27 Jun → | ||
| 13–7 | -0.02 | 9% | 24 Jun → | ||
| 10–13 | 0.02 | 6% | 24 Jun → | ||
| 6–13 | -0.05 | 17% | 24 Jun → | ||
| 8–13 | -0.08 | 7% | 18 Jun → | ||
| 8–13 | 0.03 | 12% | 15 Jun → | ||
| 13–6 | -0.01 | 13% | 14 Jun → | ||
| 1–13 | 0.01 | 20% | 14 Jun → | ||
| 13–11 | 0.04 | 8% | 13 Jun → | ||
| 5–13 | -0.00 | 21% | 13 Jun → | ||
| 13–6 | 0.02 | 15% | 13 Jun → | ||
| 13–9 | -0.05 | 6% | 11 Jun → | ||
| 6–13 | -0.11 | 6% | 10 Jun → | ||
| 12–12 | -0.02 | 16% | 10 Jun → | ||
| 7–13 | -0.09 | 27% | 7 Jun → | ||
| 2–13 | -0.03 | 29% | 7 Jun → | ||
| 0–7 | -0.03 | 20% | 7 Jun → | ||
| 5–13 | 0.01 | 23% | 6 Jun → | ||
| 5–13 | -0.00 | 5% | 6 Jun → | ||
| 6–13 | -0.06 | 15% | 30 May → | ||
| 13–5 | -0.07 | 12% | 30 May → | ||
| 5–13 | -0.09 | 35% | 30 May → |
Match data via Leetify.