DJ Boggle — CS2 Stats
76561198254204530[U:1:293938802]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 55.3% | 52.8% | above |
| Shot accuracy | 3.3% | 13.7% | 10.4% short |
| Kill/death ratio | 0.69 | 1.08 | 0.39 short |
| Match win rate | 40.8% | 49.2% | 8.4% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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 · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 90% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: 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. 618ms 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 (×0.95 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 | 17 | 7–10 | 41% | -0.02 | |
| B | 16 | 8–8 | 50% | -0.00 | |
| D | 14 | 2–12 | 14% | -0.03 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| S | 10 | 8–2 | 80% | -0.01 | |
| A | 10 | 6–4 | 60% | -0.01 | |
| S | 8 | 6–2 | 75% | 0.00 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| office | — | 2 | 0–2 | 0% | -0.07 |
| — | 1 | 1–0 | 100% | -0.01 | |
| golden | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (14% over 14). 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 456 | 54% | 1.03 | 14.8 |
| Inferno | 217 | 41% | 0.99 | 14.1 |
| Dust2 | 209 | 45% | 0.99 | 14.5 |
| Anubis | 194 | 52% | 1.00 | 15.0 |
| Nuke | 136 | 46% | 0.96 | 13.4 |
| Ancient | 94 | 41% | 1.01 | 15.1 |
| Train | 58 | 57% | 1.01 | 15.1 |
| Overpass | 50 | 36% | 0.86 | 13.6 |
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 31.862% — 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.
14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.02 | 11% | 9 Jul → | ||
| 13–10 | -0.01 | 15% | 8 Jul → | ||
| 13–7 | -0.04 | 30% | 26 Mar → | ||
| 15–15 | -0.01 | 25% | 25 Mar → | ||
| 11–13 | -0.01 | 17% | 25 Mar → | ||
| 11–13 | -0.01 | 26% | 21 Mar → | ||
| 13–5 | 0.05 | 23% | 21 Mar → | ||
| 10–13 | -0.03 | 19% | 15 Mar → | ||
| 13–4 | 0.06 | 24% | 15 Mar → | ||
| 14–16 | 0.04 | 19% | 8 Mar → | ||
| 13–5 | 0.05 | 13% | 8 Mar → | ||
| 2–13 | -0.07 | 26% | 8 Mar → | ||
| 13–10 | -0.01 | 16% | 26 Feb → | ||
| 3–13 | -0.02 | 12% | 24 Feb → | ||
| 9–13 | 0.03 | 28% | 20 Feb → | ||
| 13–8 | 0.01 | 32% | 19 Feb → | ||
| 6–13 | -0.07 | 22% | 12 Feb → | ||
| 13–11 | 0.03 | 26% | 12 Feb → | ||
| 8–13 | 0.01 | 25% | 8 Feb → | ||
| 13–9 | -0.04 | 23% | 6 Feb → | ||
| 13–11 | 0.01 | 11% | 2 Feb → | ||
| 13–10 | -0.01 | 18% | 1 Feb → | ||
| 9–13 | -0.03 | 11% | 31 Jan → | ||
| 10–13 | 0.03 | 13% | 31 Jan → | ||
| 13–7 | 0.03 | 18% | 31 Jan → | ||
| 10–13 | -0.02 | 26% | 29 Jan → | ||
| 11–13 | -0.01 | 4% | 27 Jan → | ||
| 7–13 | -0.02 | 18% | 22 Jan → | ||
| 13–10 | -0.06 | 18% | 18 Jan → | ||
| 13–8 | 0.02 | 22% | 18 Jan → | ||
| 7–13 | -0.03 | 25% | 8 Jan → | ||
| 13–11 | -0.04 | 23% | 4 Jan → | ||
| 13–11 | 0.00 | 22% | 4 Jan → | ||
| 8–13 | 0.05 | 19% | 10 Dec → | ||
| 9–13 | -0.01 | 27% | 9 Dec → | ||
| 8–13 | -0.01 | 22% | 8 Dec → | ||
| 9–12 | 0.00 | 22% | 7 Dec → | ||
| 11–13 | -0.04 | 15% | 7 Dec → | ||
| 13–9 | -0.05 | 13% | 6 Dec → | ||
| 13–9 | -0.02 | 17% | 6 Dec → | ||
| 13–5 | 0.06 | 16% | 4 Dec → | ||
| 13–11 | 0.04 | 16% | 4 Dec → | ||
| 13–4 | -0.02 | 15% | 3 Dec → | ||
| 13–7 | -0.00 | 11% | 1 Dec → | ||
| office | 12–12 | -0.06 | 20% | 26 Nov → | |
| 13–11 | -0.03 | 23% | 26 Nov → | ||
| 13–10 | 0.03 | 17% | 25 Nov → | ||
| 13–6 | 0.03 | 14% | 25 Nov → | ||
| 11–13 | 0.02 | 10% | 25 Nov → | ||
| 12–16 | 0.04 | 16% | 20 Nov → | ||
| 11–13 | -0.05 | 17% | 20 Nov → | ||
| 8–13 | -0.04 | 18% | 20 Nov → | ||
| 11–13 | -0.06 | 15% | 18 Nov → | ||
| 3–13 | -0.11 | 12% | 18 Nov → | ||
| 13–10 | -0.07 | 21% | 13 Nov → | ||
| golden | 10–13 | -0.02 | 21% | 12 Nov → | |
| 10–13 | -0.04 | 15% | 11 Nov → | ||
| 4–13 | -0.02 | 23% | 11 Nov → | ||
| 5–13 | -0.03 | 13% | 9 Nov → | ||
| 7–13 | -0.06 | 33% | 9 Nov → | ||
| 9–13 | -0.00 | 20% | 8 Nov → | ||
| 22–20 | 0.01 | 20% | 8 Nov → | ||
| 8–13 | -0.01 | 22% | 8 Nov → | ||
| 12–12 | 0.14 | 11% | 6 Nov → | ||
| 13–3 | -0.06 | 17% | 6 Nov → | ||
| 4–13 | -0.06 | 9% | 6 Nov → | ||
| 13–7 | -0.03 | 21% | 6 Nov → | ||
| 13–9 | -0.01 | 20% | 5 Nov → | ||
| 13–8 | 0.02 | 9% | 4 Nov → | ||
| 5–13 | -0.00 | 11% | 1 Nov → | ||
| 11–13 | -0.02 | 24% | 31 Oct → | ||
| 11–13 | -0.08 | 11% | 30 Oct → | ||
| 13–7 | -0.02 | 18% | 29 Oct → | ||
| 11–13 | -0.04 | 15% | 28 Oct → | ||
| office | 10–13 | -0.07 | 18% | 27 Oct → | |
| 10–13 | -0.06 | 8% | 27 Oct → | ||
| 16–12 | 0.03 | 17% | 27 Oct → | ||
| 13–8 | 0.00 | 15% | 26 Oct → | ||
| 13–9 | -0.02 | 6% | 25 Oct → | ||
| 10–13 | -0.03 | 22% | 25 Oct → | ||
| 9–13 | -0.05 | 5% | 25 Oct → | ||
| 10–3 | -0.07 | 28% | 25 Oct → | ||
| 13–10 | 0.06 | 14% | 25 Oct → | ||
| 5–13 | -0.05 | 6% | 24 Oct → | ||
| 13–9 | -0.03 | 6% | 24 Oct → | ||
| 13–8 | -0.05 | 25% | 23 Oct → | ||
| 4–13 | 0.01 | 15% | 22 Oct → | ||
| 9–13 | -0.01 | 17% | 20 Oct → | ||
| 13–9 | 0.03 | 14% | 20 Oct → | ||
| 3–13 | -0.04 | 32% | 20 Oct → | ||
| 10–13 | -0.04 | 13% | 20 Oct → | ||
| 5–13 | -0.02 | 20% | 19 Oct → | ||
| 13–5 | 0.01 | 14% | 19 Oct → | ||
| 16–12 | -0.02 | 18% | 18 Oct → | ||
| 4–13 | -0.09 | 19% | 16 Oct → | ||
| 13–7 | -0.03 | 30% | 12 Oct → | ||
| 13–6 | 0.06 | 23% | 12 Oct → | ||
| 13–6 | -0.05 | 19% | 11 Oct → | ||
| 13–6 | 0.06 | 32% | 9 Oct → | ||
| 13–11 | 0.00 | 21% | 9 Oct → |
Match data via Leetify.