That Dawg In Me — CS2 Stats
76561199185383938[U:1:1225118210]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · +0.04 avg rating
Player DNA
Primary style: Passive 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 NiKo 84% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| B | 29 | 14–15 | 48% | 0.00 | |
| B | 27 | 14–13 | 52% | -0.00 | |
| C | 13 | 5–8 | 38% | -0.00 | |
| S | 10 | 7–3 | 70% | 0.02 | |
| S | 10 | 7–3 | 70% | 0.01 | |
| S | 5 | 4–1 | 80% | -0.01 | |
| — | 3 | 2–1 | 67% | -0.00 | |
| — | 1 | 0–1 | 0% | -0.08 | |
| — | 1 | 0–1 | 0% | -0.06 | |
| — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 13). 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 8 | 62% | 1.30 | 22.3 |
| Dust2 | 8 | 62% | 0.94 | 12.6 |
| Ancient | 3 | 67% | 1.22 | 16.3 |
| Inferno | 2 | 0% | 1.02 | 17.0 |
| Nuke | 2 | 50% | 1.30 | 16.5 |
| Overpass | 1 | 100% | 1.11 | 10.0 |
| Train | 1 | 100% | 1.43 | 20.0 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3993 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 28.4832% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.03 | 15% | 28 Aug → | ||
| 11–13 | 0.03 | 17% | 28 Aug → | ||
| 13–2 | 0.03 | 17% | 25 Aug → | ||
| 9–13 | -0.06 | 13% | 25 Aug → | ||
| 10–13 | 0.02 | 15% | 21 Aug → | ||
| 13–8 | 0.06 | 16% | 21 Aug → | ||
| 13–10 | 0.06 | 16% | 21 Aug → | ||
| 13–5 | -0.02 | 12% | 21 Aug → | ||
| 13–7 | 0.06 | 11% | 21 Aug → | ||
| 15–15 | 0.03 | 24% | 21 Aug → | ||
| 10–13 | -0.03 | 10% | 19 Aug → | ||
| 11–13 | -0.02 | 14% | 19 Aug → | ||
| 7–13 | -0.03 | 14% | 19 Aug → | ||
| 14–16 | -0.02 | 25% | 18 Aug → | ||
| 6–13 | -0.01 | 18% | 17 Aug → | ||
| 6–13 | 0.01 | 19% | 16 Aug → | ||
| 12–16 | -0.06 | 18% | 16 Aug → | ||
| 13–3 | 0.05 | 6% | 16 Aug → | ||
| 6–13 | -0.08 | 13% | 14 Aug → | ||
| 11–13 | 0.01 | 16% | 14 Aug → | ||
| 5–13 | -0.08 | 15% | 14 Aug → | ||
| 13–8 | 0.01 | 10% | 14 Aug → | ||
| 13–11 | 0.03 | 22% | 14 Aug → | ||
| 13–4 | 0.01 | 13% | 14 Aug → | ||
| 7–13 | -0.03 | 21% | 14 Aug → | ||
| 8–13 | -0.01 | 13% | 14 Aug → | ||
| 5–0 | 0.00 | 67% | 14 Aug → | ||
| 7–13 | 0.10 | 19% | 13 Aug → | ||
| 7–13 | -0.08 | 11% | 13 Aug → | ||
| 13–7 | 0.05 | 21% | 13 Aug → | ||
| 13–10 | 0.01 | 16% | 13 Aug → | ||
| 16–14 | -0.02 | 14% | 12 Aug → | ||
| 8–13 | -0.02 | 27% | 12 Aug → | ||
| 16–12 | 0.05 | 13% | 12 Aug → | ||
| 9–13 | -0.07 | 8% | 10 Aug → | ||
| 11–13 | 0.00 | 26% | 10 Aug → | ||
| 0–5 | -0.02 | 17% | 10 Aug → | ||
| 13–2 | -0.09 | 9% | 10 Aug → | ||
| 13–3 | 0.03 | 20% | 10 Aug → | ||
| 13–1 | 0.07 | 38% | 9 Aug → | ||
| 10–13 | -0.02 | 15% | 9 Aug → | ||
| 13–11 | -0.04 | 33% | 9 Aug → | ||
| 13–1 | 0.07 | 25% | 9 Aug → | ||
| 13–2 | 0.07 | 9% | 8 Aug → | ||
| 3–13 | -0.10 | 18% | 7 Aug → | ||
| 13–16 | -0.00 | 17% | 6 Aug → | ||
| 13–11 | 0.03 | 14% | 5 Aug → | ||
| 5–13 | -0.03 | 19% | 4 Aug → | ||
| 13–3 | 0.01 | 14% | 3 Aug → | ||
| 13–9 | -0.00 | 25% | 3 Aug → | ||
| 13–9 | -0.04 | 15% | 3 Aug → | ||
| 3–13 | -0.02 | 15% | 3 Aug → | ||
| 13–11 | -0.02 | 11% | 3 Aug → | ||
| 13–7 | -0.06 | 7% | 3 Aug → | ||
| 13–3 | -0.01 | 32% | 3 Aug → | ||
| 3–13 | -0.03 | 15% | 2 Aug → | ||
| 13–5 | 0.02 | 29% | 2 Aug → | ||
| 13–9 | -0.03 | 10% | 2 Aug → | ||
| 11–13 | -0.00 | 33% | 2 Aug → | ||
| 13–9 | -0.00 | 9% | 2 Aug → | ||
| 8–13 | -0.01 | 9% | 31 Jul → | ||
| 2–13 | -0.02 | 16% | 30 Jul → | ||
| 8–13 | 0.01 | 22% | 30 Jul → | ||
| 13–11 | -0.02 | 20% | 29 Jul → | ||
| 13–11 | -0.01 | 10% | 29 Jul → | ||
| 3–13 | -0.02 | 20% | 29 Jul → | ||
| 10–13 | -0.03 | 19% | 28 Jul → | ||
| 13–8 | 0.11 | 16% | 28 Jul → | ||
| 10–13 | -0.06 | 21% | 28 Jul → | ||
| 13–3 | -0.02 | 29% | 27 Jul → | ||
| 13–10 | 0.07 | 24% | 27 Jul → | ||
| 16–12 | 0.00 | 24% | 26 Jul → | ||
| 13–10 | -0.00 | 15% | 26 Jul → | ||
| 9–13 | 0.04 | 19% | 24 Jul → | ||
| 13–8 | 0.06 | 8% | 24 Jul → | ||
| 7–13 | -0.05 | 16% | 24 Jul → | ||
| 4–13 | -0.07 | 10% | 24 Jul → | ||
| 10–0 | 0.07 | 8% | 24 Jul → | ||
| 13–16 | -0.03 | 20% | 22 Jul → | ||
| 6–13 | 0.03 | 19% | 18 Jul → | ||
| 13–11 | -0.01 | 19% | 18 Jul → | ||
| 0–3 | -0.06 | 0% | 18 Jul → | ||
| 13–7 | 0.03 | 11% | 17 Jul → | ||
| 13–7 | 0.02 | 17% | 17 Jul → | ||
| 13–7 | -0.02 | 14% | 17 Jul → | ||
| 13–7 | 0.07 | 19% | 16 Jul → | ||
| 13–9 | 0.08 | 18% | 16 Jul → | ||
| 13–3 | 0.06 | 14% | 16 Jul → | ||
| 8–13 | -0.08 | 5% | 15 Jul → | ||
| 7–13 | -0.04 | 10% | 15 Jul → | ||
| 13–7 | 0.11 | 26% | 14 Jul → | ||
| 13–11 | 0.03 | 7% | 13 Jul → | ||
| 13–6 | 0.06 | 12% | 4 Jul → | ||
| 13–6 | 0.01 | 21% | 4 Jul → | ||
| 13–6 | 0.10 | 19% | 2 Jul → | ||
| 13–6 | -0.01 | 13% | 2 Jul → | ||
| 4–13 | -0.03 | 19% | 23 Jun → | ||
| 13–8 | -0.02 | 11% | 16 Jun → | ||
| 9–13 | -0.01 | 14% | 16 Jun → | ||
| 8–13 | -0.02 | 26% | 12 Jun → |
Match data via Leetify.