dgt — CS2 Stats
76561198028385790[U:1:68120062]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 37.7% | 44.0% | 44.7% | 7.0% short |
| Shot accuracy | 17.3% | 11.6% | 11.9% | above |
| Kill/death ratio | 1.02 | 1.03 | 1.04 | 0.02 short |
| Match win rate | 41.3% | 45.1% | 45.2% | 3.9% short |
This profile matches the typical Level 6 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 6 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: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafing
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 s1mple 90% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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. 601ms 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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 25 | 14–11 | 56% | 0.02 | |
| S | 21 | 14–7 | 67% | 0.04 | |
| B | 17 | 9–8 | 53% | 0.02 | |
| D | 12 | 4–8 | 33% | 0.02 | |
| C | 11 | 4–7 | 36% | -0.01 | |
| D | 8 | 1–7 | 13% | -0.01 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (13% over 8). 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 resultsWWWWL
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.02 | 13% | 31 Aug → | ||
| 6–0 | 0.04 | 22% | 31 Aug → | ||
| 13–10 | -0.02 | 18% | 30 Aug → | ||
| 8–13 | 0.06 | 34% | 30 Aug → | ||
| 8–13 | 0.01 | 13% | 30 Aug → | ||
| 13–5 | -0.01 | 23% | 30 Aug → | ||
| 11–13 | 0.02 | 16% | 30 Aug → | ||
| 13–5 | 0.16 | 16% | 30 Aug → | ||
| 13–10 | 0.02 | 22% | 30 Aug → | ||
| 13–10 | 0.04 | 15% | 30 Aug → | ||
| 12–16 | 0.01 | 25% | 29 Aug → | ||
| 13–1 | 0.07 | 20% | 29 Aug → | ||
| 11–13 | 0.02 | 25% | 29 Aug → | ||
| 13–10 | 0.01 | 13% | 29 Aug → | ||
| 8–13 | -0.01 | 22% | 28 Aug → | ||
| 5–13 | 0.03 | 33% | 28 Aug → | ||
| 13–2 | 0.06 | 15% | 28 Aug → | ||
| 13–1 | 0.23 | 25% | 28 Aug → | ||
| 11–13 | 0.02 | 28% | 28 Aug → | ||
| 13–11 | -0.05 | 11% | 28 Aug → | ||
| 10–13 | -0.01 | 22% | 28 Aug → | ||
| 13–9 | 0.00 | 8% | 28 Aug → | ||
| 15–15 | 0.00 | 17% | 28 Aug → | ||
| 15–15 | -0.00 | 13% | 27 Aug → | ||
| 9–13 | 0.03 | 14% | 27 Aug → | ||
| 13–6 | 0.03 | 11% | 27 Aug → | ||
| 13–11 | 0.05 | 17% | 27 Aug → | ||
| 13–5 | 0.02 | 10% | 27 Aug → | ||
| 7–13 | -0.05 | 17% | 27 Aug → | ||
| 13–5 | 0.04 | 18% | 27 Aug → | ||
| 13–6 | 0.04 | 13% | 27 Aug → | ||
| 13–8 | -0.06 | 24% | 27 Aug → | ||
| 8–13 | 0.09 | 18% | 27 Aug → | ||
| 15–15 | -0.01 | 14% | 27 Aug → | ||
| 11–13 | 0.04 | 9% | 27 Aug → | ||
| 13–10 | -0.02 | 13% | 26 Aug → | ||
| 9–13 | -0.01 | 22% | 26 Aug → | ||
| 10–13 | 0.01 | 12% | 26 Aug → | ||
| 13–1 | 0.08 | 19% | 26 Aug → | ||
| 7–1 | 0.11 | 9% | 26 Aug → | ||
| 6–13 | -0.05 | 11% | 26 Aug → | ||
| 8–13 | 0.07 | 8% | 26 Aug → | ||
| 13–7 | 0.08 | 15% | 26 Aug → | ||
| 13–5 | 0.05 | 24% | 26 Aug → | ||
| 13–5 | -0.00 | 18% | 26 Aug → | ||
| 4–13 | -0.06 | 14% | 25 Aug → | ||
| 6–13 | 0.00 | 9% | 25 Aug → | ||
| 11–13 | -0.02 | 19% | 24 Aug → | ||
| 13–8 | 0.04 | 16% | 24 Aug → | ||
| 8–13 | -0.00 | 18% | 24 Aug → | ||
| 9–13 | 0.00 | 19% | 24 Aug → | ||
| 13–11 | 0.00 | 13% | 23 Aug → | ||
| 13–11 | 0.06 | 18% | 23 Aug → | ||
| 13–3 | 0.15 | 9% | 23 Aug → | ||
| 13–10 | -0.03 | 7% | 23 Aug → | ||
| 13–11 | 0.01 | 21% | 23 Aug → | ||
| 13–5 | 0.03 | 14% | 23 Aug → | ||
| 5–13 | 0.03 | 7% | 23 Aug → | ||
| 5–13 | -0.04 | 27% | 23 Aug → | ||
| 7–13 | -0.04 | 8% | 23 Aug → | ||
| 13–10 | 0.05 | 25% | 23 Aug → | ||
| 10–13 | 0.01 | 17% | 22 Aug → | ||
| 9–13 | -0.04 | 11% | 22 Aug → | ||
| 13–11 | 0.15 | 19% | 22 Aug → | ||
| 13–5 | 0.14 | 22% | 22 Aug → | ||
| 9–13 | 0.03 | 19% | 22 Aug → | ||
| 16–13 | 0.03 | 10% | 22 Aug → | ||
| 9–13 | 0.01 | 12% | 22 Aug → | ||
| 13–5 | 0.08 | 26% | 22 Aug → | ||
| 13–4 | 0.07 | 23% | 22 Aug → | ||
| 2–13 | -0.05 | 21% | 22 Aug → | ||
| 13–10 | -0.01 | 17% | 21 Aug → | ||
| 13–2 | 0.10 | 10% | 21 Aug → | ||
| 2–13 | -0.05 | 6% | 21 Aug → | ||
| 8–13 | -0.02 | 16% | 21 Aug → | ||
| 13–8 | 0.06 | 14% | 21 Aug → | ||
| 9–13 | -0.02 | 12% | 20 Aug → | ||
| 13–5 | 0.04 | 26% | 20 Aug → | ||
| 10–13 | -0.04 | 14% | 20 Aug → | ||
| 4–13 | -0.04 | 19% | 20 Aug → | ||
| 13–7 | 0.01 | 13% | 20 Aug → | ||
| 5–13 | -0.03 | 14% | 20 Aug → | ||
| 14–16 | 0.00 | 10% | 20 Aug → | ||
| 11–13 | 0.01 | 20% | 20 Aug → | ||
| 13–5 | 0.06 | 20% | 20 Aug → | ||
| 7–13 | 0.01 | 22% | 20 Aug → | ||
| 13–4 | 0.10 | 17% | 20 Aug → | ||
| 13–5 | 0.03 | 19% | 20 Aug → | ||
| 13–3 | 0.02 | 9% | 20 Aug → | ||
| 7–13 | -0.07 | 5% | 20 Aug → | ||
| 14–16 | 0.04 | 7% | 20 Aug → | ||
| 10–13 | -0.04 | 13% | 19 Aug → | ||
| 15–15 | 0.10 | 32% | 19 Aug → | ||
| 13–3 | 0.02 | 14% | 19 Aug → | ||
| 11–13 | -0.01 | 15% | 19 Aug → | ||
| 5–13 | -0.08 | 11% | 19 Aug → | ||
| 1–13 | -0.05 | 27% | 18 Aug → | ||
| 13–8 | -0.05 | 13% | 18 Aug → | ||
| 13–6 | -0.02 | 11% | 18 Aug → | ||
| 2–13 | -0.01 | 17% | 18 Aug → |
Match data via Leetify.