C Dawg Dubz — CS2 Stats
76561199104487270[U:1:1144221542]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 sh1ro 88% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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. 607ms 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 6.1/10 (Solid), 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 | 22 | 12–10 | 55% | 0.03 | |
| S | 21 | 14–7 | 67% | 0.00 | |
| A | 20 | 12–8 | 60% | 0.03 | |
| B | 13 | 7–6 | 54% | -0.02 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.02 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 3 | 33% | 0.75 | 12.7 |
| Ancient | 2 | 50% | 1.01 | 13.0 |
| Mirage | 1 | 0% | 0.37 | 7.0 |
| Inferno | 1 | 0% | 0.24 | 5.0 |
| Nuke | 1 | 0% | 0.57 | 8.0 |
| Anubis | 1 | 0% | 0.47 | 9.0 |
| Train | 1 | 100% | 0.54 | 7.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.05 | 24% | 11 Jul → | ||
| 9–13 | 0.06 | 11% | 11 Jul → | ||
| 5–13 | -0.04 | 30% | 11 Jul → | ||
| 7–13 | 0.04 | 27% | 11 Jul → | ||
| 13–9 | 0.10 | 26% | 11 Jul → | ||
| 13–5 | 0.08 | 42% | 11 Jul → | ||
| 13–4 | 0.13 | 29% | 11 Jul → | ||
| 6–13 | -0.00 | 25% | 11 Jul → | ||
| 13–5 | -0.02 | 5% | 11 Apr → | ||
| 3–13 | 0.01 | 26% | 11 Apr → | ||
| 13–8 | 0.02 | 18% | 11 Apr → | ||
| 13–16 | -0.03 | 21% | 15 Mar → | ||
| 13–3 | 0.08 | 37% | 15 Mar → | ||
| 13–7 | 0.05 | 22% | 15 Mar → | ||
| 13–11 | 0.06 | 20% | 8 Mar → | ||
| 13–4 | 0.05 | 13% | 8 Mar → | ||
| 15–15 | 0.05 | 19% | 8 Mar → | ||
| 15–15 | 0.06 | 19% | 8 Mar → | ||
| 13–7 | 0.04 | 25% | 8 Mar → | ||
| 16–14 | 0.06 | 20% | 8 Mar → | ||
| 13–4 | 0.08 | 14% | 8 Mar → | ||
| 13–4 | 0.09 | 29% | 8 Mar → | ||
| 13–10 | -0.01 | 29% | 8 Mar → | ||
| 13–8 | -0.01 | 10% | 22 Feb → | ||
| 7–13 | -0.13 | 18% | 22 Feb → | ||
| 10–13 | -0.01 | 18% | 16 Feb → | ||
| 9–13 | -0.03 | 13% | 16 Feb → | ||
| 11–13 | -0.04 | 5% | 16 Feb → | ||
| 11–13 | 0.02 | 19% | 16 Feb → | ||
| 13–4 | -0.03 | 14% | 16 Feb → | ||
| 13–6 | 0.04 | 12% | 16 Feb → | ||
| 3–4 | 0.01 | 0% | 16 Feb → | ||
| 5–13 | -0.01 | 8% | 16 Feb → | ||
| 16–13 | -0.06 | 13% | 16 Feb → | ||
| 11–13 | 0.05 | 22% | 16 Feb → | ||
| 11–13 | -0.03 | 15% | 16 Feb → | ||
| 13–5 | -0.03 | 11% | 16 Feb → | ||
| 14–16 | -0.00 | 12% | 16 Feb → | ||
| 13–9 | 0.02 | 30% | 7 Feb → | ||
| 16–12 | 0.06 | 14% | 7 Feb → | ||
| 13–3 | 0.09 | 31% | 7 Feb → | ||
| 13–11 | 0.00 | 34% | 7 Feb → | ||
| 13–3 | 0.07 | 15% | 7 Feb → | ||
| 13–5 | -0.05 | 12% | 7 Feb → | ||
| 8–13 | -0.03 | 15% | 28 Jan → | ||
| 13–16 | -0.00 | 22% | 28 Jan → | ||
| 13–16 | -0.03 | 12% | 28 Jan → | ||
| 4–9 | -0.04 | 16% | 28 Jan → | ||
| 3–7 | -0.10 | 29% | 28 Jan → | ||
| 9–13 | 0.11 | 29% | 26 Jan → | ||
| 13–11 | -0.05 | 13% | 26 Jan → | ||
| 13–4 | -0.03 | 20% | 26 Jan → | ||
| 2–13 | -0.07 | 17% | 24 Jan → | ||
| 13–8 | 0.00 | 12% | 24 Jan → | ||
| 2–0 | -0.06 | 0% | 24 Jan → | ||
| 13–8 | -0.08 | 5% | 24 Jan → | ||
| 13–3 | 0.03 | 17% | 24 Jan → | ||
| 5–13 | -0.07 | 12% | 24 Jan → | ||
| 13–4 | 0.03 | 16% | 24 Jan → | ||
| 13–10 | -0.03 | 13% | 23 Jan → | ||
| 3–13 | -0.01 | 13% | 23 Jan → | ||
| 3–13 | -0.08 | 38% | 23 Jan → | ||
| 13–9 | -0.05 | 10% | 22 Jan → | ||
| 6–13 | -0.02 | 14% | 22 Jan → | ||
| 11–13 | -0.04 | 6% | 22 Jan → | ||
| 13–8 | -0.08 | 20% | 22 Jan → | ||
| 13–8 | -0.01 | 23% | 15 Jan → | ||
| 13–4 | 0.10 | 23% | 15 Jan → | ||
| 15–15 | 0.01 | 22% | 15 Jan → | ||
| 6–9 | 0.09 | 15% | 15 Jan → | ||
| 4–13 | 0.02 | 16% | 15 Jan → | ||
| 6–13 | -0.03 | 23% | 14 Jan → | ||
| 9–13 | 0.03 | 21% | 14 Jan → | ||
| 13–8 | 0.03 | 20% | 14 Jan → | ||
| 13–7 | 0.08 | 18% | 14 Jan → | ||
| 8–13 | 0.03 | 30% | 14 Jan → | ||
| 11–13 | 0.07 | 24% | 14 Jan → | ||
| 13–8 | 0.01 | 16% | 12 Jan → | ||
| 7–13 | -0.00 | 15% | 12 Jan → | ||
| 13–7 | 0.00 | 28% | 12 Jan → | ||
| 16–13 | 0.10 | 27% | 12 Jan → | ||
| 13–10 | 0.03 | 21% | 12 Jan → | ||
| 13–10 | -0.00 | 12% | 7 Jan → | ||
| 13–4 | 0.05 | 6% | 7 Jan → | ||
| 6–13 | 0.02 | 22% | 7 Jan → | ||
| 13–10 | -0.05 | 16% | 7 Jan → | ||
| 9–13 | -0.04 | 17% | 7 Jan → | ||
| 14–16 | -0.04 | 19% | 6 Jan → | ||
| 13–6 | 0.02 | 19% | 6 Jan → | ||
| 15–15 | 0.05 | 24% | 5 Jan → | ||
| 13–9 | 0.05 | 27% | 5 Jan → | ||
| 13–11 | 0.03 | 21% | 5 Jan → | ||
| 8–1 | 0.00 | 17% | 5 Jan → | ||
| 13–2 | 0.08 | 31% | 5 Jan → | ||
| 12–16 | -0.03 | 30% | 5 Jan → | ||
| 7–13 | -0.04 | 19% | 5 Jan → | ||
| 13–4 | 0.03 | 39% | 5 Jan → | ||
| 13–16 | -0.04 | 16% | 5 Jan → | ||
| 13–8 | 0.03 | 28% | 4 Jan → | ||
| 13–7 | 0.02 | 21% | 4 Jan → |
Match data via Leetify.