Butter Bee — CS2 Stats
76561199275475160[U:1:1315209432]
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 | 39.2% | 40.1% | 41.7% | 2.5% short |
| Shot accuracy | 10.2% | 7.6% | 8.8% | above |
| Kill/death ratio | 0.79 | 0.92 | 0.97 | 0.18 short |
| Match win rate | 35.8% | 42.2% | 43.8% | 8.0% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. 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: +10pp win rate · +0.01 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 69% 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. 736ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 2.4/10 (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 |
|---|---|---|---|---|---|
| A | 33 | 18–15 | 55% | -0.02 | |
| A | 23 | 13–10 | 57% | -0.03 | |
| D | 15 | 4–11 | 27% | -0.03 | |
| A | 11 | 7–4 | 64% | -0.02 | |
| C | 8 | 3–5 | 38% | -0.03 | |
| D | 5 | 1–4 | 20% | -0.04 | |
| — | 3 | 0–3 | 0% | -0.03 | |
| — | 2 | 0–2 | 0% | -0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient 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.
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.6143° — above the 12° mark we flag
- 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 10.4538% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 735.9137ms — above the 700ms 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–16 | -0.05 | 8% | 27 Aug → | ||
| 13–11 | 0.01 | 6% | 27 Aug → | ||
| 13–6 | -0.00 | 27% | 22 Aug → | ||
| 13–11 | -0.05 | 9% | 22 Aug → | ||
| 6–13 | -0.10 | 8% | 22 Aug → | ||
| 13–16 | -0.06 | 7% | 18 Aug → | ||
| 13–5 | 0.02 | 7% | 18 Aug → | ||
| 7–13 | -0.10 | 5% | 15 Aug → | ||
| 8–13 | -0.01 | 5% | 15 Aug → | ||
| 13–9 | -0.03 | 13% | 15 Aug → | ||
| 8–13 | -0.03 | 6% | 11 Aug → | ||
| 9–13 | -0.01 | 15% | 11 Aug → | ||
| 10–13 | -0.12 | 13% | 7 Aug → | ||
| 13–9 | -0.01 | 17% | 6 Aug → | ||
| 13–0 | 0.07 | 27% | 31 Jul → | ||
| 3–13 | -0.08 | 14% | 30 Jul → | ||
| 11–13 | -0.06 | 13% | 30 Jul → | ||
| 16–14 | -0.09 | 14% | 27 Jul → | ||
| 11–13 | -0.06 | 9% | 23 Jul → | ||
| 13–8 | -0.04 | 4% | 22 Jul → | ||
| 4–13 | 0.02 | 5% | 16 Jul → | ||
| 6–13 | -0.04 | 9% | 16 Jul → | ||
| 13–10 | 0.02 | 6% | 16 Jul → | ||
| 2–13 | -0.09 | 6% | 16 Jul → | ||
| 13–7 | -0.04 | 8% | 11 Jul → | ||
| 13–10 | -0.03 | 9% | 11 Jul → | ||
| 11–13 | -0.05 | 8% | 11 Jul → | ||
| 13–6 | 0.00 | 6% | 11 Jul → | ||
| 13–1 | 0.03 | 22% | 11 Jul → | ||
| 13–11 | -0.07 | 17% | 11 Jul → | ||
| 13–10 | -0.06 | 2% | 10 Jul → | ||
| 6–13 | -0.06 | 12% | 10 Jul → | ||
| 7–13 | -0.07 | 6% | 10 Jul → | ||
| 13–8 | 0.00 | 4% | 10 Jul → | ||
| 9–13 | 0.02 | 6% | 10 Jul → | ||
| 8–1 | -0.01 | 5% | 10 Jul → | ||
| 6–13 | 0.02 | 8% | 10 Jul → | ||
| 4–13 | -0.05 | 11% | 10 Jul → | ||
| 16–14 | -0.08 | 10% | 9 Jul → | ||
| 13–3 | 0.00 | 23% | 9 Jul → | ||
| 13–7 | -0.05 | 12% | 6 Jul → | ||
| 15–15 | -0.07 | 5% | 6 Jul → | ||
| 8–13 | -0.07 | 14% | 6 Jul → | ||
| 13–10 | 0.01 | 4% | 5 Jul → | ||
| 5–13 | -0.03 | 7% | 5 Jul → | ||
| 9–13 | 0.00 | 2% | 5 Jul → | ||
| 13–10 | 0.06 | 10% | 2 Jul → | ||
| 7–13 | -0.01 | 4% | 2 Jul → | ||
| 14–16 | -0.04 | 11% | 1 Jul → | ||
| 6–13 | 0.02 | 5% | 1 Jul → | ||
| 13–11 | -0.06 | 6% | 25 Jun → | ||
| 13–6 | -0.02 | 14% | 25 Jun → | ||
| 2–13 | -0.04 | 12% | 24 Jun → | ||
| 13–11 | -0.02 | 5% | 24 Jun → | ||
| 7–13 | -0.01 | 9% | 20 Jun → | ||
| 13–9 | 0.02 | 11% | 20 Jun → | ||
| 5–13 | -0.04 | 7% | 16 Jun → | ||
| 2–13 | -0.06 | 6% | 16 Jun → | ||
| 13–9 | -0.03 | 7% | 14 Jun → | ||
| 13–3 | 0.02 | 2% | 14 Jun → | ||
| 13–6 | -0.02 | 5% | 14 Jun → | ||
| 13–11 | -0.02 | 3% | 14 Jun → | ||
| 11–13 | -0.05 | 7% | 5 Jun → | ||
| 6–13 | -0.09 | 3% | 5 Jun → | ||
| 12–16 | -0.01 | 15% | 5 Jun → | ||
| 13–7 | -0.00 | 10% | 5 Jun → | ||
| 13–9 | -0.00 | 6% | 2 Jun → | ||
| 15–15 | -0.03 | 3% | 1 Jun → | ||
| 14–16 | 0.01 | 17% | 1 Jun → | ||
| 12–12 | 0.02 | 6% | 1 Jun → | ||
| 13–5 | -0.01 | 3% | 31 May → | ||
| 13–7 | -0.02 | 6% | 31 May → | ||
| 4–13 | 0.01 | 10% | 31 May → | ||
| 13–9 | 0.00 | 10% | 31 May → | ||
| 5–13 | -0.01 | 8% | 31 May → | ||
| 15–15 | -0.01 | 10% | 30 May → | ||
| 9–13 | -0.08 | 8% | 30 May → | ||
| 5–13 | -0.05 | 4% | 29 May → | ||
| 3–13 | -0.02 | 11% | 29 May → | ||
| 13–4 | -0.01 | 0% | 29 May → | ||
| 13–9 | -0.02 | 6% | 29 May → | ||
| 13–16 | -0.08 | 5% | 29 May → | ||
| 13–11 | -0.02 | 5% | 24 May → | ||
| 10–13 | -0.00 | 3% | 23 May → | ||
| 13–10 | 0.09 | 5% | 23 May → | ||
| 8–13 | -0.01 | 9% | 23 May → | ||
| 13–7 | -0.00 | 7% | 21 May → | ||
| 6–13 | -0.04 | 9% | 20 May → | ||
| 8–13 | -0.00 | 10% | 20 May → | ||
| 4–13 | -0.13 | 14% | 19 May → | ||
| 15–15 | 0.08 | 4% | 19 May → | ||
| 8–13 | -0.04 | 6% | 19 May → | ||
| 13–7 | -0.07 | 17% | 19 May → | ||
| 13–10 | -0.05 | 8% | 18 May → | ||
| 16–14 | 0.01 | 6% | 18 May → | ||
| 1–13 | -0.05 | 13% | 18 May → | ||
| 9–4 | -0.02 | 23% | 17 May → | ||
| 14–16 | -0.03 | 5% | 17 May → | ||
| 10–13 | -0.06 | 2% | 16 May → | ||
| 13–9 | -0.00 | 9% | 16 May → |
Match data via Leetify.