Doge — CS2 Stats
76561198279970347[U:1:319704619]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 94% playstyle similarity
Most alike: utility contribution, 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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
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. 577ms 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 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 22 | 9–13 | 41% | 0.02 | |
| A | 18 | 10–8 | 56% | 0.02 | |
| C | 16 | 7–9 | 44% | 0.03 | |
| S | 13 | 9–4 | 69% | 0.03 | |
| B | 12 | 6–6 | 50% | 0.07 | |
| B | 12 | 6–6 | 50% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 28 | 64% | 1.38 | 17.8 |
| Mirage | 23 | 70% | 1.20 | 15.0 |
| Anubis | 16 | 50% | 1.13 | 16.0 |
| Ancient | 12 | 50% | 1.06 | 13.0 |
| Nuke | 8 | 88% | 1.91 | 21.5 |
| Inferno | 4 | 75% | 1.29 | 18.0 |
| Cache | 3 | 67% | 1.02 | 17.7 |
| Overpass | 2 | 100% | 1.76 | 25.0 |
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.
41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.01 | 27% | 27 Aug → | ||
| 10–13 | 0.05 | 28% | 27 Aug → | ||
| 8–13 | 0.02 | 33% | 26 Aug → | ||
| 13–2 | 0.10 | 34% | 26 Aug → | ||
| 13–6 | 0.06 | 23% | 26 Aug → | ||
| 0–10 | -0.03 | 22% | 26 Aug → | ||
| 11–13 | -0.05 | 15% | 25 Aug → | ||
| 13–6 | 0.13 | 29% | 25 Aug → | ||
| 13–7 | 0.00 | 24% | 25 Aug → | ||
| 16–12 | 0.04 | 30% | 25 Aug → | ||
| 6–13 | -0.00 | 36% | 25 Aug → | ||
| 6–13 | -0.09 | 22% | 25 Aug → | ||
| 2–13 | 0.05 | 27% | 24 Aug → | ||
| 13–7 | 0.01 | 36% | 24 Aug → | ||
| 13–11 | 0.01 | 32% | 24 Aug → | ||
| 13–11 | 0.11 | 22% | 23 Aug → | ||
| 8–13 | 0.02 | 18% | 21 Aug → | ||
| 11–13 | 0.05 | 29% | 21 Aug → | ||
| 13–1 | 0.19 | 42% | 20 Aug → | ||
| 13–4 | -0.04 | 8% | 20 Aug → | ||
| 13–2 | 0.13 | 20% | 20 Aug → | ||
| 3–10 | 0.00 | 19% | 20 Aug → | ||
| 12–12 | -0.04 | 21% | 20 Aug → | ||
| 13–7 | 0.06 | 32% | 20 Aug → | ||
| 10–13 | -0.03 | 23% | 20 Aug → | ||
| 3–8 | -0.01 | 15% | 19 Aug → | ||
| 13–3 | 0.08 | 17% | 19 Aug → | ||
| 13–11 | 0.11 | 25% | 19 Aug → | ||
| 12–12 | 0.08 | 16% | 18 Aug → | ||
| 10–13 | 0.03 | 25% | 18 Aug → | ||
| 9–2 | -0.01 | 21% | 18 Aug → | ||
| 13–6 | 0.07 | 27% | 18 Aug → | ||
| 13–4 | 0.10 | 25% | 18 Aug → | ||
| 5–13 | -0.04 | 22% | 17 Aug → | ||
| 13–11 | -0.01 | 17% | 17 Aug → | ||
| 9–13 | 0.03 | 26% | 17 Aug → | ||
| 5–13 | -0.05 | 17% | 17 Aug → | ||
| 3–0 | -0.03 | 25% | 17 Aug → | ||
| 2–13 | -0.05 | 50% | 17 Aug → | ||
| 13–7 | 0.01 | 29% | 17 Aug → | ||
| 13–6 | -0.01 | 23% | 15 Aug → | ||
| 13–3 | 0.15 | 18% | 12 Aug → | ||
| 7–13 | 0.00 | 27% | 12 Aug → | ||
| 6–13 | -0.03 | 19% | 12 Aug → | ||
| 10–13 | 0.00 | 23% | 9 Aug → | ||
| 13–6 | 0.07 | 22% | 9 Aug → | ||
| 13–4 | 0.07 | 19% | 9 Aug → | ||
| 13–8 | -0.01 | 23% | 9 Aug → | ||
| 13–10 | -0.00 | 19% | 8 Aug → | ||
| 11–13 | 0.01 | 17% | 8 Aug → | ||
| 13–6 | 0.10 | 29% | 8 Aug → | ||
| 8–13 | -0.00 | 37% | 8 Aug → | ||
| 13–11 | 0.04 | 31% | 7 Aug → | ||
| 13–9 | 0.05 | 16% | 7 Aug → | ||
| 9–13 | 0.00 | 30% | 7 Aug → | ||
| 13–4 | 0.19 | 26% | 7 Aug → | ||
| 13–10 | -0.01 | 17% | 7 Aug → | ||
| 11–13 | 0.09 | 34% | 7 Aug → | ||
| 5–13 | 0.03 | 35% | 7 Aug → | ||
| 11–13 | 0.00 | 22% | 6 Aug → | ||
| 6–13 | -0.02 | 23% | 6 Aug → | ||
| 13–6 | 0.00 | 13% | 6 Aug → | ||
| 13–7 | -0.06 | 14% | 6 Aug → | ||
| 11–13 | 0.01 | 27% | 5 Aug → | ||
| 2–7 | -0.02 | 35% | 5 Aug → | ||
| 7–13 | -0.03 | 34% | 5 Aug → | ||
| 13–6 | 0.05 | 18% | 5 Aug → | ||
| 13–6 | 0.03 | 21% | 5 Aug → | ||
| 2–13 | -0.07 | 30% | 5 Aug → | ||
| 9–13 | -0.02 | 19% | 5 Aug → | ||
| 16–13 | 0.05 | 22% | 4 Aug → | ||
| 8–13 | -0.03 | 33% | 4 Aug → | ||
| 13–1 | 0.04 | 16% | 4 Aug → | ||
| 5–13 | 0.03 | 42% | 4 Aug → | ||
| 7–13 | 0.04 | 16% | 4 Aug → | ||
| 4–13 | -0.06 | 21% | 4 Aug → | ||
| 8–13 | 0.02 | 13% | 4 Aug → | ||
| 13–4 | 0.12 | 27% | 4 Aug → | ||
| 13–10 | -0.02 | 9% | 3 Aug → | ||
| 13–8 | 0.05 | 18% | 3 Aug → | ||
| 13–5 | 0.16 | 20% | 3 Aug → | ||
| 12–12 | 0.05 | 15% | 3 Aug → | ||
| 13–8 | 0.03 | 17% | 3 Aug → | ||
| 2–13 | -0.01 | 22% | 3 Aug → | ||
| 13–5 | 0.02 | 15% | 3 Aug → | ||
| 12–12 | 0.07 | 18% | 3 Aug → | ||
| 13–9 | 0.01 | 23% | 2 Aug → | ||
| 0–11 | -0.01 | 21% | 2 Aug → | ||
| 9–13 | -0.04 | 27% | 2 Aug → | ||
| 9–13 | 0.01 | 18% | 2 Aug → | ||
| 13–10 | 0.03 | 29% | 2 Aug → | ||
| 13–8 | 0.01 | 27% | 2 Aug → | ||
| 13–11 | -0.02 | 11% | 2 Aug → | ||
| 4–13 | -0.04 | 18% | 2 Aug → | ||
| 12–12 | 0.09 | 22% | 1 Aug → | ||
| 13–9 | 0.05 | 14% | 1 Aug → | ||
| 3–13 | 0.00 | 30% | 1 Aug → | ||
| 5–13 | -0.02 | 43% | 1 Aug → | ||
| 13–2 | 0.22 | 24% | 1 Aug → | ||
| 13–2 | 0.10 | 35% | 31 Jul → |
Match data via Leetify.