DobleAA — CS2 Stats
76561199712305818[U:1:1752040090]✓ No bans
Rating over time
Faceit ELO
- At peak — 1,326
- Next: Level 7 at 1,351 — 25 to go
- Reached: Level 6 · Level 5 · Level 4 · Level 3
- Level 6 first seen 2026-08-28
- Level 5 first seen 2026-08-28
Premier CS Rating
- At peak — 19,233
- Next: Pink band at 20,000 — 767 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 88% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 51% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 565ms 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 5.4/10 (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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | -0.02 | |
| B | 22 | 10–12 | 45% | -0.02 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| D | 11 | 3–8 | 27% | -0.01 | |
| S | 11 | 8–3 | 73% | -0.02 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (27% over 11). 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 178 | 49% | 1.00 | 14.8 |
| Dust2 | 133 | 48% | 1.04 | 15.6 |
| Inferno | 69 | 51% | 1.17 | 16.8 |
| Ancient | 60 | 47% | 1.01 | 15.5 |
| Anubis | 39 | 56% | 1.11 | 14.4 |
| Nuke | 39 | 54% | 1.05 | 15.3 |
| Cache | 18 | 67% | 0.99 | 15.2 |
| Overpass | 12 | 58% | 1.02 | 16.3 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.1588% — below the 15% mark we flag
- 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 23.3566% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.09 | 10% | 21 Aug → | ||
| 3–13 | -0.03 | 4% | 21 Aug → | ||
| 2–13 | -0.07 | 0% | 21 Aug → | ||
| 13–10 | -0.02 | 13% | 21 Aug → | ||
| 13–5 | 0.03 | 18% | 21 Aug → | ||
| 5–13 | 0.01 | 8% | 21 Aug → | ||
| 13–8 | 0.02 | 13% | 21 Aug → | ||
| 4–13 | -0.03 | 29% | 21 Aug → | ||
| 1–13 | -0.05 | 4% | 21 Aug → | ||
| 13–7 | -0.01 | 18% | 21 Aug → | ||
| 13–10 | -0.01 | 13% | 21 Aug → | ||
| 10–13 | -0.03 | 10% | 20 Aug → | ||
| 10–13 | -0.05 | 19% | 20 Aug → | ||
| 8–13 | -0.01 | 9% | 20 Aug → | ||
| 13–5 | -0.01 | 7% | 20 Aug → | ||
| 6–13 | -0.01 | 12% | 20 Aug → | ||
| 7–13 | -0.05 | 12% | 20 Aug → | ||
| 1–13 | -0.11 | 29% | 20 Aug → | ||
| 13–10 | 0.01 | 9% | 20 Aug → | ||
| 13–2 | 0.01 | 31% | 20 Aug → | ||
| 13–8 | 0.03 | 20% | 20 Aug → | ||
| 13–10 | -0.00 | 23% | 20 Aug → | ||
| 13–8 | 0.04 | 21% | 18 Aug → | ||
| 13–11 | 0.01 | 8% | 18 Aug → | ||
| 9–13 | -0.00 | 13% | 18 Aug → | ||
| 6–13 | 0.01 | 6% | 17 Aug → | ||
| 13–9 | 0.09 | 13% | 16 Aug → | ||
| 13–7 | -0.01 | 15% | 16 Aug → | ||
| 13–10 | -0.04 | 18% | 16 Aug → | ||
| 2–3 | -0.06 | 14% | 16 Aug → | ||
| 11–13 | -0.03 | 19% | 15 Aug → | ||
| 13–10 | -0.02 | 18% | 15 Aug → | ||
| 13–4 | 0.10 | 13% | 15 Aug → | ||
| 8–13 | -0.04 | 25% | 15 Aug → | ||
| 13–5 | 0.07 | 26% | 15 Aug → | ||
| 11–13 | 0.00 | 25% | 15 Aug → | ||
| 9–13 | -0.04 | 9% | 15 Aug → | ||
| 3–13 | -0.03 | 44% | 15 Aug → | ||
| 14–16 | -0.02 | 12% | 15 Aug → | ||
| 5–13 | -0.08 | 10% | 15 Aug → | ||
| 13–6 | -0.01 | 19% | 15 Aug → | ||
| 1–13 | -0.09 | 14% | 15 Aug → | ||
| 13–11 | 0.01 | 22% | 15 Aug → | ||
| 11–13 | 0.06 | 17% | 15 Aug → | ||
| 10–0 | -0.00 | 17% | 15 Aug → | ||
| 13–11 | 0.01 | 16% | 14 Aug → | ||
| 13–7 | 0.03 | 29% | 14 Aug → | ||
| 7–13 | -0.03 | 19% | 14 Aug → | ||
| 13–2 | 0.03 | 18% | 14 Aug → | ||
| 13–9 | 0.01 | 20% | 14 Aug → | ||
| 5–13 | -0.10 | 21% | 14 Aug → | ||
| 13–10 | 0.03 | 10% | 14 Aug → | ||
| 6–12 | -0.01 | 16% | 14 Aug → | ||
| 13–5 | 0.09 | 24% | 14 Aug → | ||
| 13–6 | -0.06 | 8% | 14 Aug → | ||
| 13–11 | -0.00 | 20% | 14 Aug → | ||
| 11–13 | 0.03 | 15% | 14 Aug → | ||
| 13–11 | -0.01 | 11% | 14 Aug → | ||
| 0–5 | -0.09 | 0% | 14 Aug → | ||
| 8–13 | -0.01 | 17% | 14 Aug → | ||
| 13–4 | -0.03 | 18% | 13 Aug → | ||
| 13–7 | 0.04 | 29% | 13 Aug → | ||
| 15–15 | 0.00 | 9% | 13 Aug → | ||
| 13–9 | 0.00 | 8% | 13 Aug → | ||
| 10–13 | -0.05 | 12% | 13 Aug → | ||
| 2–13 | -0.05 | 7% | 13 Aug → | ||
| 13–7 | -0.01 | 15% | 13 Aug → | ||
| 11–13 | -0.01 | 10% | 13 Aug → | ||
| 10–13 | -0.04 | 17% | 13 Aug → | ||
| 13–0 | -0.05 | 50% | 13 Aug → | ||
| 13–6 | 0.03 | 22% | 13 Aug → | ||
| 0–2 | -0.08 | 0% | 13 Aug → | ||
| 8–13 | -0.05 | 11% | 13 Aug → | ||
| 13–9 | -0.04 | 19% | 13 Aug → | ||
| 13–10 | -0.03 | 24% | 13 Aug → | ||
| 13–9 | 0.06 | 35% | 12 Aug → | ||
| 4–13 | 0.02 | 12% | 12 Aug → | ||
| 13–7 | 0.05 | 16% | 12 Aug → | ||
| 5–13 | -0.01 | 14% | 12 Aug → | ||
| 13–9 | -0.04 | 17% | 12 Aug → | ||
| 7–9 | 0.03 | 13% | 12 Aug → | ||
| 19–16 | -0.05 | 13% | 12 Aug → | ||
| 6–13 | -0.05 | 21% | 12 Aug → | ||
| 8–13 | -0.04 | 10% | 11 Aug → | ||
| 10–13 | 0.01 | 16% | 11 Aug → | ||
| 8–13 | -0.05 | 9% | 11 Aug → | ||
| 13–5 | -0.04 | 12% | 11 Aug → | ||
| 3–13 | -0.01 | 14% | 10 Aug → | ||
| 3–13 | -0.02 | 35% | 10 Aug → | ||
| 6–13 | -0.10 | 12% | 10 Aug → | ||
| 13–10 | 0.02 | 15% | 10 Aug → | ||
| 13–3 | 0.02 | 43% | 10 Aug → | ||
| 13–0 | -0.00 | 20% | 10 Aug → | ||
| 13–6 | 0.00 | 16% | 10 Aug → | ||
| 13–4 | 0.00 | 15% | 10 Aug → | ||
| 9–13 | -0.03 | 32% | 10 Aug → | ||
| 6–13 | -0.03 | 15% | 10 Aug → | ||
| 8–13 | 0.06 | 24% | 10 Aug → | ||
| 6–13 | -0.06 | 55% | 9 Aug → | ||
| 4–13 | -0.04 | 16% | 9 Aug → |
Match data via Leetify.