dawg2k — CS2 Stats
NO76561198135960340[U:1:175694612]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 sh1ro 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 624ms 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 | 18 | 10–8 | 56% | 0.04 | |
| S | 18 | 12–6 | 67% | 0.03 | |
| A | 18 | 11–7 | 61% | 0.04 | |
| C | 16 | 6–10 | 38% | 0.03 | |
| C | 9 | 4–5 | 44% | 0.03 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| cache_b | B | 6 | 3–3 | 50% | 0.02 |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 3 | 0–3 | 0% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 9 | 89% | 1.17 | 15.2 |
| Nuke | 8 | 62% | 1.24 | 14.8 |
| Ancient | 5 | 100% | 1.13 | 15.6 |
| Mirage | 4 | 50% | 0.91 | 12.5 |
| Inferno | 3 | 67% | 1.08 | 14.7 |
| Overpass | 1 | 0% | 1.00 | 15.0 |
| Vertigo | 1 | 100% | 1.12 | 18.0 |
| Anubis | 1 | 100% | 1.53 | 23.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.08 | 18% | 21 Aug → | ||
| 13–11 | 0.01 | 19% | 21 Aug → | ||
| 8–13 | 0.03 | 14% | 21 Aug → | ||
| 10–13 | 0.10 | 18% | 15 Aug → | ||
| 5–13 | -0.01 | 17% | 15 Aug → | ||
| 10–13 | 0.01 | 15% | 15 Aug → | ||
| 13–6 | 0.03 | 13% | 6 Aug → | ||
| 2–13 | -0.08 | 22% | 6 Aug → | ||
| 7–13 | -0.04 | 20% | 6 Aug → | ||
| 4–13 | -0.06 | 16% | 27 Jul → | ||
| 13–6 | -0.02 | 26% | 27 Jul → | ||
| 9–13 | 0.03 | 14% | 3 Jul → | ||
| 6–13 | -0.00 | 26% | 31 May → | ||
| 11–13 | 0.08 | 21% | 30 May → | ||
| 13–7 | 0.02 | 21% | 30 May → | ||
| 13–3 | 0.04 | 9% | 30 May → | ||
| 13–7 | 0.13 | 26% | 29 May → | ||
| 8–13 | -0.06 | 17% | 29 May → | ||
| 19–15 | 0.06 | 20% | 29 May → | ||
| 13–9 | 0.04 | 13% | 29 May → | ||
| 16–13 | 0.07 | 13% | 8 May → | ||
| 8–13 | -0.02 | 13% | 8 May → | ||
| 10–13 | 0.08 | 22% | 6 May → | ||
| 13–4 | 0.02 | 7% | 5 May → | ||
| 13–3 | 0.13 | 14% | 28 Apr → | ||
| 16–14 | 0.01 | 13% | 28 Apr → | ||
| 13–6 | 0.15 | 12% | 24 Apr → | ||
| 10–13 | 0.10 | 9% | 24 Apr → | ||
| 13–4 | -0.03 | 15% | 24 Apr → | ||
| 8–13 | -0.05 | 15% | 23 Apr → | ||
| 9–13 | 0.01 | 16% | 18 Apr → | ||
| 8–13 | -0.01 | 15% | 18 Apr → | ||
| 13–4 | 0.06 | 13% | 15 Apr → | ||
| 6–13 | -0.01 | 21% | 15 Apr → | ||
| cache_b | 13–7 | 0.07 | 22% | 14 Apr → | |
| 13–4 | 0.04 | 17% | 14 Apr → | ||
| 13–1 | 0.14 | 17% | 12 Apr → | ||
| 11–2 | 0.11 | 14% | 12 Apr → | ||
| 4–13 | -0.03 | 16% | 1 Apr → | ||
| 16–13 | 0.13 | 14% | 1 Apr → | ||
| 4–13 | -0.04 | 4% | 1 Apr → | ||
| 13–10 | 0.01 | 20% | 27 Mar → | ||
| 6–13 | 0.01 | 14% | 27 Mar → | ||
| 19–22 | -0.00 | 12% | 20 Mar → | ||
| 13–7 | 0.05 | 12% | 19 Mar → | ||
| 13–10 | 0.04 | 14% | 19 Mar → | ||
| 4–13 | 0.09 | 23% | 14 Mar → | ||
| 13–11 | -0.03 | 11% | 14 Mar → | ||
| 13–7 | 0.07 | 14% | 14 Mar → | ||
| 13–11 | 0.02 | 13% | 14 Mar → | ||
| 8–13 | 0.05 | 29% | 10 Mar → | ||
| 7–13 | -0.04 | 10% | 10 Mar → | ||
| 7–13 | -0.02 | 20% | 10 Mar → | ||
| 10–13 | -0.02 | 20% | 8 Mar → | ||
| 5–13 | -0.00 | 30% | 5 Mar → | ||
| 13–7 | -0.01 | 12% | 5 Mar → | ||
| 2–13 | 0.03 | 19% | 5 Mar → | ||
| 8–13 | -0.01 | 13% | 2 Mar → | ||
| 8–13 | 0.04 | 16% | 2 Mar → | ||
| 4–13 | -0.03 | 32% | 25 Feb → | ||
| 13–6 | 0.10 | 28% | 24 Feb → | ||
| 4–13 | -0.03 | 25% | 24 Feb → | ||
| 13–7 | 0.02 | 13% | 24 Feb → | ||
| 13–2 | 0.02 | 4% | 20 Feb → | ||
| 13–1 | 0.11 | 10% | 20 Feb → | ||
| 7–13 | -0.03 | 19% | 19 Feb → | ||
| 13–10 | 0.06 | 16% | 19 Feb → | ||
| 13–3 | 0.15 | 15% | 19 Feb → | ||
| 13–10 | 0.07 | 19% | 13 Feb → | ||
| 9–13 | 0.05 | 9% | 13 Feb → | ||
| cache_b | 2–13 | 0.00 | 13% | 13 Feb → | |
| 8–13 | 0.00 | 15% | 12 Feb → | ||
| 10–13 | -0.00 | 16% | 12 Feb → | ||
| 8–13 | -0.00 | 11% | 12 Feb → | ||
| 13–3 | -0.00 | 17% | 5 Feb → | ||
| 13–7 | 0.02 | 15% | 4 Feb → | ||
| cache_b | 11–13 | 0.06 | 11% | 4 Feb → | |
| 13–6 | 0.03 | 38% | 4 Feb → | ||
| 5–13 | -0.02 | 32% | 4 Feb → | ||
| 4–13 | -0.02 | 12% | 4 Feb → | ||
| 13–11 | 0.09 | 19% | 1 Feb → | ||
| 13–8 | 0.06 | 14% | 30 Jan → | ||
| 13–9 | 0.09 | 19% | 30 Jan → | ||
| 13–9 | 0.05 | 19% | 30 Jan → | ||
| 13–8 | 0.09 | 12% | 29 Jan → | ||
| cache_b | 13–10 | 0.10 | 14% | 29 Jan → | |
| 11–13 | -0.02 | 7% | 29 Jan → | ||
| 4–13 | 0.02 | 18% | 28 Jan → | ||
| 4–13 | 0.00 | 0% | 24 Jan → | ||
| 13–4 | 0.06 | 0% | 24 Jan → | ||
| 16–12 | 0.02 | 0% | 24 Jan → | ||
| cache_b | 3–13 | -0.06 | 0% | 24 Jan → | |
| 13–5 | 0.06 | 0% | 23 Jan → | ||
| 13–8 | 0.04 | 0% | 23 Jan → | ||
| 13–6 | 0.02 | 0% | 23 Jan → | ||
| 13–7 | 0.00 | 0% | 23 Jan → | ||
| 9–13 | -0.02 | 0% | 23 Jan → | ||
| cache_b | 13–7 | -0.03 | 0% | 23 Jan → | |
| 6–13 | 0.01 | 23% | 18 Jan → | ||
| 13–7 | -0.05 | 16% | 18 Jan → |
Match data via Leetify.
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