Bob_Lee — CS2 Stats
76561198111797142[U:1:151531414]
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 | Level 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 41.4% | 44.9% | 46.2% | 4.8% short |
| Shot accuracy | 17.1% | 11.8% | 12.5% | above |
| Kill/death ratio | 1.18 | 1.04 | 1.06 | above |
| Match win rate | 44.6% | 45.3% | 45.9% | 1.3% short |
This profile matches the typical Level 7 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 7 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: +0pp win rate · -0.03 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Effective flashes
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 89% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim profile; lower positioning 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
Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.
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 6.5/10 (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 | 27 | 13–14 | 48% | 0.00 | |
| C | 20 | 7–13 | 35% | 0.01 | |
| A | 19 | 11–8 | 58% | -0.00 | |
| A | 14 | 9–5 | 64% | -0.00 | |
| A | 11 | 7–4 | 64% | -0.00 | |
| A | 9 | 5–4 | 56% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 13 | 38% | 1.18 | 15.8 |
| Cache | 10 | 50% | 1.15 | 16.6 |
| Mirage | 9 | 44% | 1.02 | 15.7 |
| Anubis | 8 | 25% | 0.87 | 15.1 |
| Inferno | 6 | 67% | 1.30 | 16.0 |
| Ancient | 4 | 50% | 0.90 | 16.0 |
| Nuke | 2 | 50% | 0.77 | 14.5 |
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.
- 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 35.7105% — 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.
35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.08 | 14% | 29 Aug → | ||
| 13–7 | 0.02 | 13% | 29 Aug → | ||
| 5–13 | -0.07 | 11% | 29 Aug → | ||
| 11–13 | 0.00 | 15% | 28 Aug → | ||
| 4–13 | -0.03 | 12% | 28 Aug → | ||
| 3–13 | 0.01 | 8% | 28 Aug → | ||
| 13–9 | -0.02 | 17% | 27 Aug → | ||
| 15–15 | -0.02 | 22% | 26 Aug → | ||
| 13–9 | 0.03 | 13% | 26 Aug → | ||
| 13–8 | -0.06 | 31% | 26 Aug → | ||
| 7–13 | 0.01 | 21% | 25 Aug → | ||
| 13–11 | 0.03 | 16% | 25 Aug → | ||
| 6–13 | -0.06 | 5% | 25 Aug → | ||
| 13–8 | 0.06 | 15% | 25 Aug → | ||
| 15–15 | 0.05 | 23% | 25 Aug → | ||
| 11–13 | 0.01 | 29% | 24 Aug → | ||
| 9–13 | -0.02 | 16% | 24 Aug → | ||
| 13–5 | -0.02 | 14% | 24 Aug → | ||
| 13–6 | 0.04 | 22% | 24 Aug → | ||
| 13–6 | -0.06 | 11% | 24 Aug → | ||
| 3–11 | -0.08 | 0% | 23 Aug → | ||
| 15–15 | 0.02 | 13% | 23 Aug → | ||
| 13–6 | 0.12 | 21% | 23 Aug → | ||
| 8–13 | 0.01 | 10% | 23 Aug → | ||
| 13–8 | 0.03 | 9% | 23 Aug → | ||
| 13–7 | -0.02 | 6% | 22 Aug → | ||
| 13–11 | 0.01 | 26% | 22 Aug → | ||
| 5–13 | -0.04 | 23% | 22 Aug → | ||
| 16–12 | -0.00 | 8% | 22 Aug → | ||
| 13–4 | -0.01 | 26% | 22 Aug → | ||
| 16–12 | 0.00 | 23% | 22 Aug → | ||
| 13–9 | -0.04 | 18% | 22 Aug → | ||
| 6–13 | 0.12 | 17% | 21 Aug → | ||
| 13–11 | -0.06 | 7% | 21 Aug → | ||
| 13–8 | 0.04 | 12% | 21 Aug → | ||
| 13–9 | -0.04 | 4% | 21 Aug → | ||
| 13–5 | 0.07 | 21% | 20 Aug → | ||
| 13–4 | -0.10 | 9% | 20 Aug → | ||
| 10–13 | 0.06 | 20% | 20 Aug → | ||
| 13–9 | 0.10 | 14% | 19 Aug → | ||
| 1–13 | -0.08 | 19% | 19 Aug → | ||
| 5–13 | -0.07 | 13% | 19 Aug → | ||
| 13–10 | 0.02 | 16% | 18 Aug → | ||
| 10–13 | -0.01 | 14% | 18 Aug → | ||
| 7–13 | -0.05 | 10% | 18 Aug → | ||
| 13–9 | 0.05 | 21% | 18 Aug → | ||
| 13–6 | 0.08 | 12% | 17 Aug → | ||
| 13–4 | -0.01 | 19% | 17 Aug → | ||
| 8–13 | 0.00 | 10% | 17 Aug → | ||
| 13–8 | -0.01 | 16% | 15 Aug → | ||
| 7–13 | 0.01 | 18% | 15 Aug → | ||
| 10–13 | 0.03 | 17% | 14 Aug → | ||
| 13–16 | -0.03 | 11% | 14 Aug → | ||
| 7–13 | -0.02 | 15% | 14 Aug → | ||
| 9–13 | -0.01 | 22% | 14 Aug → | ||
| 8–13 | 0.00 | 21% | 13 Aug → | ||
| 12–1 | 0.04 | 19% | 12 Aug → | ||
| 11–13 | 0.06 | 31% | 12 Aug → | ||
| 1–13 | -0.02 | 11% | 12 Aug → | ||
| 4–3 | 0.02 | 33% | 12 Aug → | ||
| 13–11 | 0.00 | 20% | 12 Aug → | ||
| 13–8 | 0.02 | 9% | 12 Aug → | ||
| 13–11 | 0.02 | 18% | 11 Aug → | ||
| 6–13 | 0.07 | 21% | 11 Aug → | ||
| 14–16 | -0.06 | 13% | 11 Aug → | ||
| 3–13 | -0.03 | 9% | 10 Aug → | ||
| 13–10 | -0.03 | 8% | 10 Aug → | ||
| 10–13 | 0.00 | 11% | 9 Aug → | ||
| 13–7 | 0.00 | 31% | 8 Aug → | ||
| 10–13 | -0.04 | 12% | 8 Aug → | ||
| 13–9 | 0.06 | 17% | 8 Aug → | ||
| 3–13 | -0.02 | 14% | 8 Aug → | ||
| 15–15 | -0.04 | 16% | 7 Aug → | ||
| 14–16 | 0.01 | 18% | 6 Aug → | ||
| 10–13 | -0.07 | 7% | 6 Aug → | ||
| 10–13 | -0.04 | 20% | 6 Aug → | ||
| 13–3 | 0.01 | 7% | 6 Aug → | ||
| 7–13 | -0.04 | 19% | 6 Aug → | ||
| 13–7 | -0.00 | 6% | 5 Aug → | ||
| 11–13 | -0.02 | 30% | 5 Aug → | ||
| 13–4 | 0.06 | 27% | 5 Aug → | ||
| 13–10 | -0.01 | 22% | 4 Aug → | ||
| 13–11 | 0.04 | 18% | 4 Aug → | ||
| 13–9 | 0.01 | 18% | 4 Aug → | ||
| 13–10 | -0.02 | 14% | 3 Aug → | ||
| 13–5 | 0.02 | 9% | 3 Aug → | ||
| 7–13 | -0.01 | 17% | 30 Jul → | ||
| 13–6 | -0.01 | 22% | 30 Jul → | ||
| 13–6 | 0.02 | 18% | 29 Jul → | ||
| 11–13 | -0.01 | 19% | 29 Jul → | ||
| 13–10 | -0.05 | 12% | 29 Jul → | ||
| 13–10 | 0.02 | 21% | 29 Jul → | ||
| 11–13 | -0.00 | 14% | 28 Jul → | ||
| 10–13 | -0.01 | 20% | 28 Jul → | ||
| 3–13 | 0.06 | 13% | 27 Jul → | ||
| 13–10 | 0.06 | 11% | 26 Jul → | ||
| 12–16 | -0.01 | 14% | 25 Jul → | ||
| 13–6 | 0.01 | 26% | 25 Jul → | ||
| 4–13 | -0.06 | 22% | 25 Jul → | ||
| 13–3 | 0.03 | 29% | 25 Jul → |
Match data via Leetify.