Dre. — CS2 Stats
CA76561197991160469[U:1:30894741]Steam profile ↗✓ No bans
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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: Support — Utility contribution leads the profile while opening activity stays low.
Strong CT-side openerEffective 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 86% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Strengths
Flashes. 0.85 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 50% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% 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 4.6/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 19 | 8–11 | 42% | -0.01 | |
| C | 17 | 6–11 | 35% | -0.01 | |
| C | 16 | 6–10 | 38% | -0.01 | |
| B | 15 | 7–8 | 47% | 0.00 | |
| B | 15 | 8–7 | 53% | -0.00 | |
| C | 10 | 4–6 | 40% | -0.03 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 7). 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 120 | 51% | 0.99 | 13.2 |
| Ancient | 86 | 49% | 0.88 | 13.6 |
| Anubis | 61 | 52% | 0.91 | 13.3 |
| Mirage | 45 | 38% | 0.82 | 12.1 |
| Nuke | 42 | 48% | 1.01 | 15.1 |
| Inferno | 33 | 39% | 1.04 | 13.8 |
| Overpass | 25 | 40% | 0.84 | 12.5 |
| Train | 18 | 50% | 0.99 | 17.0 |
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 23.0933% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | 0.01 | 26% | 28 Aug → | ||
| 7–13 | -0.09 | 33% | 28 Aug → | ||
| 5–13 | -0.02 | 9% | 27 Aug → | ||
| 8–13 | -0.00 | 24% | 27 Aug → | ||
| 13–5 | -0.00 | 12% | 27 Aug → | ||
| 13–5 | 0.09 | 30% | 27 Aug → | ||
| 13–2 | -0.03 | 19% | 27 Aug → | ||
| 13–2 | 0.00 | 3% | 27 Aug → | ||
| 13–6 | 0.08 | 33% | 27 Aug → | ||
| 13–3 | -0.02 | 28% | 27 Aug → | ||
| 7–13 | -0.01 | 24% | 26 Aug → | ||
| 13–8 | 0.01 | 25% | 26 Aug → | ||
| 16–12 | 0.04 | 15% | 26 Aug → | ||
| 10–13 | 0.05 | 15% | 25 Aug → | ||
| 6–13 | 0.00 | 17% | 23 Aug → | ||
| 11–13 | -0.05 | 21% | 23 Aug → | ||
| 13–4 | 0.02 | 14% | 21 Aug → | ||
| 13–9 | -0.06 | 13% | 21 Aug → | ||
| 4–13 | 0.05 | 16% | 21 Aug → | ||
| 12–12 | 0.03 | 15% | 21 Aug → | ||
| 3–13 | -0.02 | 25% | 15 Aug → | ||
| 6–13 | -0.05 | 23% | 15 Aug → | ||
| 16–13 | 0.04 | 14% | 14 Aug → | ||
| 9–13 | 0.03 | 26% | 14 Aug → | ||
| 13–16 | -0.00 | 20% | 13 Aug → | ||
| 13–8 | 0.03 | 26% | 13 Aug → | ||
| 16–14 | -0.05 | 16% | 12 Aug → | ||
| 10–13 | -0.07 | 22% | 12 Aug → | ||
| 11–13 | 0.00 | 45% | 12 Aug → | ||
| 13–9 | 0.05 | 36% | 12 Aug → | ||
| 13–8 | 0.04 | 18% | 12 Aug → | ||
| 15–15 | -0.05 | 26% | 12 Aug → | ||
| 11–13 | 0.00 | 38% | 10 Aug → | ||
| 13–8 | -0.01 | 23% | 10 Aug → | ||
| 9–13 | -0.08 | 11% | 9 Aug → | ||
| 7–13 | -0.06 | 15% | 9 Aug → | ||
| 13–10 | -0.05 | 15% | 9 Aug → | ||
| 13–10 | 0.05 | 30% | 9 Aug → | ||
| 4–13 | -0.01 | 19% | 8 Aug → | ||
| 4–13 | -0.01 | 21% | 8 Aug → | ||
| 13–4 | 0.03 | 17% | 8 Aug → | ||
| 13–9 | -0.01 | 26% | 8 Aug → | ||
| 14–16 | -0.01 | 20% | 8 Aug → | ||
| 12–12 | 0.01 | 16% | 8 Aug → | ||
| 3–13 | -0.02 | 17% | 8 Aug → | ||
| 11–13 | -0.01 | 13% | 7 Aug → | ||
| 4–13 | 0.05 | 26% | 7 Aug → | ||
| 13–6 | 0.09 | 18% | 7 Aug → | ||
| 13–2 | 0.02 | 29% | 7 Aug → | ||
| 8–13 | -0.08 | 4% | 7 Aug → | ||
| 3–13 | -0.01 | 21% | 7 Aug → | ||
| 13–5 | 0.11 | 22% | 7 Aug → | ||
| 13–10 | -0.06 | 18% | 7 Aug → | ||
| 13–4 | 0.05 | 34% | 7 Aug → | ||
| 10–13 | -0.05 | 36% | 6 Aug → | ||
| 15–15 | 0.04 | 30% | 6 Aug → | ||
| 13–11 | -0.02 | 23% | 6 Aug → | ||
| 15–15 | -0.00 | 20% | 6 Aug → | ||
| 16–12 | -0.05 | 23% | 6 Aug → | ||
| 11–13 | -0.06 | 16% | 6 Aug → | ||
| 7–13 | 0.05 | 25% | 5 Aug → | ||
| 13–6 | 0.09 | 14% | 5 Aug → | ||
| 13–4 | 0.18 | 13% | 4 Aug → | ||
| 13–11 | -0.03 | 18% | 4 Aug → | ||
| 13–10 | 0.00 | 31% | 3 Aug → | ||
| 13–16 | 0.02 | 11% | 3 Aug → | ||
| 13–7 | -0.07 | 4% | 3 Aug → | ||
| 10–13 | 0.02 | 25% | 2 Aug → | ||
| 13–2 | -0.00 | 21% | 2 Aug → | ||
| 15–15 | -0.03 | 20% | 2 Aug → | ||
| 13–16 | 0.00 | 18% | 2 Aug → | ||
| 9–13 | 0.00 | 39% | 1 Aug → | ||
| 8–13 | 0.03 | 22% | 1 Aug → | ||
| 13–4 | -0.01 | 18% | 1 Aug → | ||
| 12–1 | -0.02 | 17% | 31 Jul → | ||
| 13–9 | -0.00 | 9% | 31 Jul → | ||
| 7–13 | -0.02 | 19% | 31 Jul → | ||
| 16–13 | -0.07 | 13% | 30 Jul → | ||
| 9–13 | -0.09 | 0% | 29 Jul → | ||
| 2–13 | -0.11 | 17% | 29 Jul → | ||
| 9–13 | 0.05 | 5% | 29 Jul → | ||
| 2–13 | -0.11 | 0% | 29 Jul → | ||
| 2–13 | -0.04 | 4% | 29 Jul → | ||
| 16–14 | 0.04 | 22% | 29 Jul → | ||
| 3–13 | -0.09 | 0% | 29 Jul → | ||
| 4–13 | 0.01 | 7% | 29 Jul → | ||
| 14–16 | -0.11 | 7% | 29 Jul → | ||
| 13–11 | -0.03 | 11% | 29 Jul → | ||
| 7–13 | -0.04 | 19% | 29 Jul → | ||
| 5–13 | -0.02 | 23% | 29 Jul → | ||
| 6–13 | -0.04 | 14% | 29 Jul → | ||
| 6–13 | -0.04 | 23% | 29 Jul → | ||
| 13–16 | 0.01 | 16% | 28 Jul → | ||
| 0–13 | -0.04 | 18% | 28 Jul → | ||
| 1–13 | -0.12 | 8% | 28 Jul → | ||
| 4–13 | -0.01 | 36% | 28 Jul → | ||
| 13–7 | -0.00 | 18% | 28 Jul → | ||
| 8–13 | -0.02 | 33% | 20 Jul → | ||
| 13–9 | 0.03 | 22% | 20 Jul → | ||
| 10–13 | 0.01 | 19% | 20 Jul → |
Match data via Leetify.